An intelligent adjustment method for a hot runner temperature control box based on artificial intelligence

Abstract

The present application relates to an intelligent adjustment method, system, device, medium and program product for a hot runner temperature control box based on artificial intelligence. The method includes: outputting a preheating signal and a heat preservation signal; waiting for and acquiring the post-preheating temperature signal and the post-heat preservation temperature signal; determining whether the post-heat preservation temperature signal is greater than a preset first temperature threshold; if not, adjusting the preheating signal and the heat preservation signal so that the post-heat preservation temperature signal is higher than the preset first temperature threshold; inputting the post-heat preservation temperature signal into a preset supplementary temperature relationship to calculate a supplementary temperature signal parameter, and outputting a supplementary temperature signal according to the supplementary temperature signal parameter. By respectively setting three links of preheating, heat preservation and supplementary temperature on the hot runner, heating the injection molding material in three stages, and heating the injection molding material to a suitable temperature for extrusion in the supplementary temperature stage, it can not only reduce power consumption, avoid carbonization of the injection molding material in the hot runner, but also improve the product molding quality.

Description

Technical Field

[0001] The present application relates to the technical field of temperature control boxes for injection molding machines, and particularly to an intelligent adjustment method, system, device, medium and program product for a hot runner temperature control box based on artificial intelligence. Background Art

[0002] A Chinese patent with the publication number CN221260110U discloses a hot runner heating system for an injection mold, which relates to the field of hot runners of injection molds. It includes a device body. A heat preservation barrel is fixedly connected to the center of the front of the device body. A discharge pipe is fixedly connected to the center of the inner cavity of the heat preservation barrel. A temperature sensor is fixedly connected to the top of the front of the device body. A flange is installed on the back of the device body. A heat conduction ring is rotatably connected to the inner cavity of the device body. A stirring rod is fixedly connected to the inner cavity of the heat conduction ring. A second gear is rotatably connected to the back of the device body, and a first gear is arranged on the top of the second gear. For the hot runner heating system for an injection mold described in this application, this device can uniformly heat the fluid used for mold making, and at the same time has a good heat preservation effect, which can effectively prevent heat loss. Through the rotatable heat conduction ring and stirring rod, the fluid in the inner cavity of the device body can be stirred, thereby improving its heating efficiency.

[0003] However, due to the limitations of the arrangement of electric heating elements and the mold structure, the heating speeds of different parts of the mold often vary, resulting in uneven temperature distribution and affecting the molding quality of products. Summary of the Invention

[0004] Based on this, in view of the above technical problems, it is necessary to provide an intelligent adjustment method, system, computer device, computer-readable storage medium and computer program product for a hot runner temperature control box based on artificial intelligence that can improve the molding quality of products.

[0005] In a first aspect, the present application provides an intelligent adjustment method for a hot runner temperature control box based on artificial intelligence, and the method includes:

[0006] Output a preheating signal and a heat preservation signal;

[0007] Wait and obtain the post-preheating temperature signal and the post-heat preservation temperature signal;

[0008] Judge whether the post-heat preservation temperature signal is greater than a preset first temperature threshold;

[0009] If not, adjust the preheating signal and the heat preservation signal so that the post-heat preservation temperature signal is higher than the preset first temperature threshold;

[0010] Input the post-heat preservation temperature signal into a preset temperature compensation relationship to calculate the temperature compensation signal parameter, and output a temperature compensation signal according to the temperature compensation signal parameter.

[0011] In one embodiment, the specific steps of waiting for and obtaining the post-preheating temperature signal and the post-holding temperature signal include:

[0012] Simultaneously obtain the post-preheating temperature signal representing the post-preheating temperature T a and the post-holding temperature signal representing the post-holding temperature T b respectively;

[0013] Substitute the post-preheating temperature T a and the post-holding temperature T b into the preset heating constant calculation relationship to calculate the injection molding material heating constant A.

[0014] In one embodiment, the preset heating constant calculation relationship is as follows:

[0015] A = P b ·t b / (T b - T a )

[0016] where P b is the heating power corresponding to the holding signal, and t b is the heating time of the holding signal.

[0017] In one embodiment, the specific steps of adjusting the preheating signal and the holding signal to make the post-holding temperature signal higher than the preset first temperature threshold include:

[0018] According to the difference between the temperature T b corresponding to the post-holding temperature signal and the preset first temperature threshold T b ', adjust the heating time of the holding signal.

[0019] In one embodiment, both the preheating signal and the holding signal are PWM square wave signals with a duty cycle and a peak-to-peak value being preset fixed values. When adjusting the preheating signal and the holding signal, only control the output time of the square wave signal within a unit time.

[0020] In one embodiment, the preset temperature compensation relationship is as follows:

[0021] D = A (T c - T b ) / P cmax ·t c

[0022] where D is the temperature compensation signal parameter, A is the injection molding material heating constant, T c is the preset compensation target temperature, T b is the post-holding temperature, P cmax is the peak heating power corresponding to the temperature compensation signal, and t cIt is a preset supplementary temperature heating time.

[0023] In a second aspect, the present application also provides an intelligent regulation system for a hot runner temperature control box based on artificial intelligence. The system includes:

[0024] A control module for outputting a preset preheating signal, a heat preservation signal, and a supplementary temperature signal;

[0025] A calculation module for judging whether the temperature signal after heat preservation is greater than a preset first temperature threshold, regulating the preheating signal and the heat preservation signal, and inputting the temperature signal after heat preservation into a preset supplementary temperature relationship to calculate the supplementary temperature signal parameter;

[0026] A heating module including a preheating sub-module, a heat preservation sub-module, and a supplementary temperature sub-module, where:

[0027] The preheating sub-module is used to receive the preheating signal and perform preheating treatment on the injection molding material;

[0028] The heat preservation sub-module is used to receive the heat preservation signal to keep the temperature of the injection molding material at the first temperature threshold or a temperature close to the first temperature threshold;

[0029] The supplementary temperature sub-module is used to receive the supplementary temperature signal to perform supplementary heating on the injection molding material.

[0030] In a third aspect, the present application also provides a computer device. The computer device includes a memory and a processor. The memory stores a computer program. When the processor executes the computer program, the following steps are implemented:

[0031] Output a preheating signal and a heat preservation signal;

[0032] Wait and obtain the temperature signal after preheating and the temperature signal after heat preservation;

[0033] Judge whether the temperature signal after heat preservation is greater than a preset first temperature threshold;

[0034] If not, then regulate the preheating signal and the heat preservation signal to make the temperature signal after heat preservation higher than the preset first temperature threshold;

[0035] Input the temperature signal after heat preservation into a preset supplementary temperature relationship to calculate the supplementary temperature signal parameter, and output a supplementary temperature signal according to the supplementary temperature signal parameter.

[0036] In a fourth aspect, the present application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program. When the computer program is executed by a processor, the following steps are implemented:

[0037] Output a preheating signal and a heat preservation signal;

[0038] Wait and obtain the post-preheating temperature signal and the post-insulation temperature signal;

[0039] Determine whether the post-insulation temperature signal is greater than a preset first temperature threshold;

[0040] If not, adjust the preheating signal and the insulation signal so that the post-insulation temperature signal is higher than the preset first temperature threshold;

[0041] Input the post-insulation temperature signal into a preset supplementary temperature relationship to calculate the supplementary temperature signal parameter, and output a supplementary temperature signal according to the supplementary temperature signal parameter.

[0042] In a fifth aspect, the present application also provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the following steps are implemented:

[0043] Output a preheating signal and an insulation signal;

[0044] Wait and obtain the post-preheating temperature signal and the post-insulation temperature signal;

[0045] Determine whether the post-insulation temperature signal is greater than a preset first temperature threshold;

[0046] If not, adjust the preheating signal and the insulation signal so that the post-insulation temperature signal is higher than the preset first temperature threshold;

[0047] Input the post-insulation temperature signal into a preset supplementary temperature relationship to calculate the supplementary temperature signal parameter, and output a supplementary temperature signal according to the supplementary temperature signal parameter.

[0048] The above-mentioned intelligent adjustment method, system, computer device, storage medium and computer program product for a hot runner temperature control box based on artificial intelligence, by respectively setting three links of preheating, insulation and supplementary temperature on the hot runner, heating the injection molding material in three stages, and heating the injection molding material to a suitable extrusion temperature in the supplementary temperature stage, can not only reduce power consumption, avoid carbonization of the injection molding material in the hot runner, but also improve the product molding quality. Description of the Drawings

[0049] Figure 1 It is a schematic flowchart of an intelligent adjustment method for a hot runner temperature control box based on artificial intelligence in an embodiment;

[0050] Figure 2 It is a structural block diagram of an intelligent adjustment system for a hot runner temperature control box based on artificial intelligence in an embodiment;

[0051] Figure 3 It is an internal structure diagram of a computer device in an embodiment.

[0052] Reference numerals: 1, control module; 2, calculation module; 3, heating module; 31, preheating sub-module; 32, heat preservation sub-module; 33, supplementary temperature sub-module; 4, hot runner. Detailed implementation manners

[0053] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0054] In one embodiment, as Figure 1 shown, a method for intelligent adjustment of a hot runner temperature control box based on artificial intelligence is provided, including the following steps:

[0055] In a first aspect, the present application provides a method for intelligent adjustment of a hot runner temperature control box based on artificial intelligence, and the method includes:

[0056] Step S100: Output a preheating signal and a heat preservation signal.

[0057] Among them, both the preheating signal and the heat preservation signal are PWM square wave signals with a duty cycle and a peak-to-peak value being preset fixed values. When adjusting the preheating signal and the heat preservation signal, only the output time of the square wave signal within a unit time is controlled. By outputting such preheating signals and heat preservation signals, the injection molding material in the runner can be heated to be converted into a molten state. In some embodiments, when the device starts to heat the injection molding material and step S100 is first executed, the output preheating signal and heat preservation signal are preheating signals and heat preservation signals input manually or preset by the system. When subsequent steps are executed, the preset preheating signal and heat preservation signal will be adjusted to achieve a better preheating and heat preservation effect. In addition, the preheating stage can be completed synchronously with the injection molding material mixing stage, and the injection molding material is heated during the process of mixing multiple injection molding materials. During the heat preservation stage, the injection molding material can be kept in a molten state. On the one hand, it can enable the injection molding material to flow in the hot runner, and on the other hand, it can also make multiple possible injection molding materials fully mixed, making the texture of the mixed injection molding material more uniform.

[0058] Step S200: Wait and obtain the post-preheating temperature signal and the post-heat preservation temperature signal.

[0059] Among them, the post-preheating temperature is the temperature reached by the injection molding material after preheating in the preheating stage. When setting the preheating signal, different preheating signals can be set for injection molding materials with different compositions, so that the injection molding material can be transformed into a molten state after completing the preheating stage; the post-insulation temperature is the temperature of the molten injection molding material after the insulation stage. There are three different situations for the temperature of the molten injection molding material after the insulation stage (i.e., the post-insulation temperature), which are lower than, equal to, or higher than the post-preheating temperature. Ideally, the post-insulation temperature should be higher than the post-preheating temperature so that the molten injection molding material can maintain a flowing state, but it should not be heated to too high a temperature to reduce the thermal power consumption in the insulation stage or avoid carbonization of the injection molding material. Therefore, the output power in the insulation stage should be controlled at a certain level. Since the injection molding material is a non-crystalline material, the temperature range in which it can maintain a molten state usually changes with the composition of the injection molding material. Therefore, it is necessary to dynamically adjust the output power in the insulation stage for different materials, that is, to adjust the insulation signal. Since both the preheating signal and the insulation signal are PWM square wave signals with a duty cycle and a peak-to-peak value of preset fixed values, to achieve the purpose of adjusting the output power in the insulation stage, only the output time of the insulation signal can be adjusted to achieve this. A reference adjustment method is: by adjusting the output duration of the insulation signal per unit time. For example, the insulation signal is a PWM square wave signal with a duty cycle of 50% and a frequency of 50 Hz, and the unit time is 1 s. In the initial state, it is set that the output time of the insulation signal in the unit time only accounts for 75%, that is, 0.75 s, and the remaining 0.25 s is not output. When the post-insulation temperature is lower than the post-preheating temperature, the proportion of the output time in the unit time is appropriately adjusted, and the power in the insulation stage can be adjusted. By adjusting the power in the insulation stage in this way, the requirements for the circuit, especially the frequency division circuit, can be reduced compared with the traditional method of adjusting the duty cycle of the PWM signal alone, and the control method of the system can be simplified, thus saving costs.

[0060] In the embodiment of the present application, the specific steps of step S200 include:

[0061] Step S210: Simultaneously obtain the post-preheating temperature signal representing the post-preheating temperature T a and the post-insulation temperature signal representing the post-insulation temperature T b respectively.

[0062] Step S220: Substitute the post-preheating temperature T a and the post-insulation temperature T b into the preset heating constant calculation relationship to calculate the injection molding material heating constant A.

[0063] Among them, the preset heating constant calculation relationship is as follows:

[0064] A = P b ·t b / (T b - Ta )

[0065] In the above relationship, P b is the heating power corresponding to the heat preservation signal, and t b is the heating time of the heat preservation signal.

[0066] Through step S210 and step S220, by the temperatures before and after the heat preservation stage, that is, the temperature T a after preheating and the temperature T b after heat preservation, the key parameters affecting the heating power of the hot runner and the temperature change are calculated, that is, the heating constant A. This heating constant A is related to the mass and specific heat capacity of the molten material heated during the heat preservation stage. Usually, the volume and density of the molten injection molding material in the heat preservation stage are constant. Therefore, this heating constant A is related to the specific heat capacity of the molten injection molding material, that is, the heating constant A is directly related to the physical properties of the molten injection molding material. This parameter is of reference significance for adjusting the power in the heat preservation stage and the power in the supplementary heating stage.

[0067] Step S300: Determine whether the temperature signal after heat preservation is greater than the preset first temperature threshold.

[0068] Among them, the first temperature threshold is the lowest temperature preset by the system to maintain the fluidity of the injection molding material.

[0069] Step S400: If not, adjust the preheating signal and the heat preservation signal to make the temperature signal after heat preservation higher than the preset first temperature threshold.

[0070] Through step S300 and step S400, it can be ensured that the injection molding material remains in a molten state during the heat preservation stage and has better fluidity, avoiding blockage in the hot runner.

[0071] In step S400, the specific steps of adjusting the preheating signal and the heat preservation signal to make the temperature signal after heat preservation higher than the preset first temperature threshold include:

[0072] According to the difference between the temperature T b corresponding to the temperature signal after heat preservation and the preset first temperature threshold T b ', adjust the heating time of the heat preservation signal. Among them, the preset first temperature threshold T b ' is the temperature value manually input for the molten injection molding material to maintain after the heat preservation stage is completed.

[0073] Step S500: Input the temperature signal after heat preservation into the preset supplementary heating relationship to calculate the supplementary heating signal parameter, and output the supplementary heating signal according to the supplementary heating signal parameter.

[0074] Among them, the preset supplementary heating relationship is as follows:

[0075] D = A(Tc -T b ) / P cmax ·t c

[0076] wherein, D is the supplementary temperature signal parameter, A is the injection molding material heating constant, T c is the preset compensation target temperature, T b is the temperature after heat preservation, P cmax is the peak heating power corresponding to the supplementary temperature signal, t c is the preset supplementary temperature heating time.

[0077] Through the above steps, three different heating stages of preheating, heat preservation and supplementary temperature can be carried out for the injection molding material. The purpose of the preheating stage is to enable the injection molding material to change from a solid state to a molten state, and it helps various mixed injection molding materials to be fully mixed. The purpose of the heat preservation stage is to enable the injection molding material to maintain a molten state that can flow in the hot runner. The heating power in this link should not be too low or too high. While maintaining good fluidity of the injection molding material, the output power needs to be reduced to achieve the purpose of energy saving; the purpose of the supplementary temperature stage is to heat the injection molding material to a temperature suitable for extrusion through short-time heating. Since the injection molding process is intermittent, the supplementary temperature signal parameter, that is, the duty cycle of the temperature compensation signal, can be adjusted according to the time of the extrusion action and the target temperature, so as to adjust the output power in the temperature compensation stage. In the three different heating processes, the key parameter affecting the heating effect is the injection molding material heating constant A, and this parameter can be calculated through step S200. Therefore, when implementing this method, the heating constant A of the injection molding material can be detected online, so as to dynamically adjust the output power in the supplementary temperature stage and the heat preservation stage, thereby improving the yield of injection molded parts.

[0078] It should be understood that although the steps in the flowcharts involved in the above embodiments are shown in sequence according to the arrows, these steps do not necessarily have to be executed in the order indicated by the arrows. Unless there is a clear description in this article, the execution of these steps does not have a strict order limit, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages. These steps or stages do not necessarily have to be executed at the same time, but can be executed at different times. The execution order of these steps or stages does not necessarily have to be sequential, but can be executed alternately or alternately with at least a part of other steps or steps or stages in other steps.

[0079] Based on the same inventive concept, an embodiment of the present application further provides an intelligent regulation system for a hot runner temperature control box based on artificial intelligence for implementing the intelligent regulation method of the hot runner temperature control box based on artificial intelligence involved above. The implementation solutions provided by this device for solving problems are similar to those recorded in the above method. Therefore, the specific limitations in one or more embodiments of the intelligent regulation system for a hot runner temperature control box based on artificial intelligence provided below can refer to the limitations on the intelligent regulation method of the hot runner temperature control box based on artificial intelligence in the foregoing, and will not be repeated here.

[0080] In one embodiment, as Figure 3 shown, an intelligent regulation system for a hot runner temperature control box based on artificial intelligence is provided, including: a control module 1, a calculation module 2, and a heating module 3, where:

[0081] The control module 1 is configured to output a preheating signal, a heat preservation signal, and a supplementary heating signal;

[0082] The calculation module 2 is configured to determine whether the temperature signal after heat preservation is greater than a preset first temperature threshold, adjust the preheating signal and the heat preservation signal, and input the temperature signal after heat preservation into a preset supplementary heating relationship to calculate the supplementary heating signal parameter;

[0083] The heating module 3 includes a preheating sub-module, a heat preservation sub-module, and a supplementary heating sub-module, where:

[0084] The preheating sub-module 31 is configured to receive the preheating signal and perform preheating treatment on the injection molding material;

[0085] The heat preservation sub-module 32 is configured to receive the heat preservation signal to keep the temperature of the injection molding material at or close to the first temperature threshold;

[0086] The supplementary heating sub-module 33 is configured to receive the supplementary heating signal to perform compensatory heating on the injection molding material;

[0087] And a temperature acquisition module 5 is configured to acquire the temperature signal after preheating and the temperature signal after heat preservation.

[0088] Specifically, as Figure 3 shown, the preheating sub-module 31, the heat preservation sub-module 32, and the supplementary heating sub-module 33 are all sequentially arranged on the hot runner 4 and are sequentially arranged along the extrusion direction of the hot runner. The injection molding material passes through the preheating sub-module 31, the heat preservation sub-module 32, and the supplementary heating sub-module 33 in sequence in the hot runner and is finally extruded.

[0089] Each module in the above artificial intelligence-based intelligent regulation system for hot runner temperature control boxes can be implemented in whole or in part by software, hardware, or a combination thereof. Each of the above modules can be embedded in the processor of a computer device in hardware form or be independent of it, or be stored in the memory of the computer device in software form, so as to facilitate the processor to call and execute the operations corresponding to each of the above modules.

[0090] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structural diagram may be as Figure 3 shown. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, NFC (Near Field Communication), or other technologies. When the computer program is executed by the processor, it implements an intelligent regulation method for a hot runner temperature control box based on artificial intelligence. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a button, a trackball, or a touchpad provided on the housing of the computer device, or an external keyboard, touchpad, or mouse, etc.

[0091] Those skilled in the art can understand that Figure 3 the structure shown in

[0092] is only a block diagram of a part of the structure related to the solution of this application, and does not constitute a limitation on the computer device to which the solution of this application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have a different component layout.

[0093] Step S100: Output a preheating signal and a heat preservation signal.

[0094] Step S200: Wait for and acquire the post-preheating temperature signal and the post-heat preservation temperature signal. Specifically, it includes:

[0095] Step S210: Simultaneously acquire the post-preheating temperature signal representing the post-preheating temperature T a and the post-heat preservation temperature signal representing the post-heat preservation temperature T b respectively.

[0096] Step S220: Substitute the temperature T after preheating a and the temperature T after heat preservation b into the preset calculation relationship of the heating constant to calculate the injection molding material heating constant A.

[0097] Step S300: Determine whether the temperature signal after heat preservation is greater than the preset first temperature threshold.

[0098] Step S400: If not, adjust the preheating signal and the heat preservation signal so that the temperature signal after heat preservation is higher than the preset first temperature threshold. The specific steps include:

[0099] According to the difference between the temperature T corresponding to the temperature signal after heat preservation b and the preset first temperature threshold T b ', adjust the heating time of the heat preservation signal.

[0100] Step S500: Input the temperature signal after heat preservation into the preset supplementary temperature relationship to calculate the supplementary temperature signal parameter, and output the supplementary temperature signal according to the supplementary temperature signal parameter.

[0101] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0102] Step S100: Output a preheating signal and a heat preservation signal.

[0103] Step S200: Wait and obtain the temperature signal after preheating and the temperature signal after heat preservation. Specifically, it includes:

[0104] Step S210: Obtain the temperature signal after preheating representing the temperature T a after preheating and the temperature signal after heat preservation representing the temperature T b after heat preservation respectively and simultaneously.

[0105] Step S220: Substitute the temperature T after preheating a and the temperature T after heat preservation b into the preset calculation relationship of the heating constant to calculate the injection molding material heating constant A.

[0106] Step S300: Determine whether the temperature signal after heat preservation is greater than the preset first temperature threshold.

[0107] Step S400: If not, adjust the preheating signal and the heat preservation signal so that the temperature signal after heat preservation is higher than the preset first temperature threshold. The specific steps include:

[0108] According to the difference between the temperature T corresponding to the temperature signal after heat preservation b and the preset first temperature threshold T bAdjust the heating time of the heat preservation signal according to the difference of '

[0109] Step S500: Input the temperature signal after heat preservation into a preset supplementary heating relationship to calculate the supplementary heating signal parameters, and output a supplementary heating signal according to the supplementary heating signal parameters.

[0110] In one embodiment, a computer program product is provided, including a computer program which, when executed by a processor, implements the following steps:

[0111] Step S100: Output a preset preheating signal and a heat preservation signal.

[0112] Step S200: Wait and obtain the temperature signal after preheating and the temperature signal after heat preservation. Specifically, it includes:

[0113] Step S210: Simultaneously obtain the temperature signal after preheating representing the temperature T a after preheating and the temperature signal after heat preservation representing the temperature T b after heat preservation.

[0114] Step S220: Substitute the temperature T a after preheating and the temperature T b after heat preservation into a preset calculation relationship of the heating constant to calculate the injection molding material heating constant A.

[0115] Step S300: Determine whether the temperature signal after heat preservation is greater than a preset first temperature threshold.

[0116] Step S400: If not, adjust the preheating signal and the heat preservation signal to make the temperature signal after heat preservation higher than the preset first temperature threshold. The specific steps include:

[0117] According to the difference between the temperature T b corresponding to the temperature signal after heat preservation and the preset first temperature threshold T b ', adjust the heating time of the heat preservation signal.

[0118] Step S500: Input the temperature signal after heat preservation into a preset supplementary heating relationship to calculate the supplementary heating signal parameters, and output a supplementary heating signal according to the supplementary heating signal parameters.

[0119] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0120] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memories. Non-volatile memories can include read-only memory (ROM), magnetic tapes, floppy disks, flash memories, optical memories, high-density embedded non-volatile memories, resistive random access memories (ReRAM), magnetoresistive random access memories (MRAM), ferroelectric random access memories (FRAM), phase change memories (PCM), graphene memories, etc. Volatile memories can include random access memory (RAM) or external cache memories, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The databases involved in the embodiments provided in the present application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., and are not limited thereto. The processors involved in the embodiments provided in the present application can be general-purpose processors, central processors, graphics processors, digital signal processors, programmable logics, data processing logics based on quantum computing, etc., and are not limited thereto.

[0121] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in this specification.

[0122] The above embodiments only represent several implementation manners of the present application. The description is relatively specific and detailed, but it should not be construed as a limitation on the patent scope of the present application. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. An intelligent adjustment method for a hot runner temperature control box based on artificial intelligence, characterized in that, Including: Outputting a preheating signal and a heat preservation signal; Waiting for and acquiring the post-preheating temperature signal and the post-heat preservation temperature signal; Judging whether the post-heat preservation temperature signal is greater than a preset first temperature threshold; If not, adjusting the preheating signal and the heat preservation signal so that the post-heat preservation temperature signal is higher than the preset first temperature threshold; Inputting the post-heat preservation temperature signal into a preset temperature compensation relationship to calculate a temperature compensation signal parameter, and outputting a temperature compensation signal according to the temperature compensation signal parameter, where the preset temperature compensation relationship is as follows: D = A(T c - T b ) / P cmax · t c Among them, D is the supplementary temperature signal parameter, A is the injection molding material heating constant, T c is the preset compensation target temperature, T b is the temperature after heat preservation corresponding to the temperature signal after heat preservation, P cmax is the peak heating power corresponding to the supplementary temperature signal, t c is the preset supplementary temperature heating time; The specific steps of waiting for and acquiring the post-preheating temperature signal and the post-heat preservation temperature signal include: Simultaneously obtain a post-preheating temperature signal representing the post-preheating temperature T a and a post-holding temperature signal representing the post-holding temperature T b respectively; Substitute the temperature T after preheating a and the temperature T after heat preservation b into the preset calculation relationship of the heating constant to calculate the injection molding material heating constant A. The preset calculation relationship of the heating constant is as follows: A = P b ·t b / (T b - T a ) Among them, P b is the heating power corresponding to the heat preservation signal, and t b is the heating time of the heat preservation signal.

2. The method according to claim 1, characterized in that, The specific steps of adjusting the preheating signal and the heat preservation signal so that the post-heat preservation temperature signal is higher than the preset first temperature threshold include: Adjust the heating time of the heat preservation signal according to the difference between the temperature T corresponding to the temperature signal after heat preservation b and the preset first temperature threshold T b '.

3. The method according to claim 2, wherein Both the preheating signal and the heat preservation signal are PWM square wave signals with a duty cycle and a peak-to-peak value being preset fixed values. When adjusting the preheating signal and the heat preservation signal, only the output time of the square wave signal within a unit time is controlled.

4. An intelligent regulation system for a hot runner temperature control box based on artificial intelligence, which is used to implement an intelligent regulation method for a hot runner temperature control box based on artificial intelligence according to any one of claims 1-3, characterized in that, The system includes: A control module, configured to output a preheating signal, a heat preservation signal, and a temperature compensation signal; A calculation module, configured to judge whether the post-heat preservation temperature signal is greater than a preset first temperature threshold, adjust the preheating signal and the heat preservation signal, and input the post-heat preservation temperature signal into a preset temperature compensation relationship to calculate a temperature compensation signal parameter; A heating module, including a preheating sub-module, a heat preservation sub-module, and a temperature compensation sub-module, where: The preheating sub-module is configured to receive the preheating signal and perform preheating treatment on the injection molding compound; The heat preservation sub-module is configured to receive the heat preservation signal to keep the temperature of the injection molding compound at the first temperature threshold or a temperature close to the first temperature threshold; The temperature compensation sub-module is configured to receive the temperature compensation signal to perform compensation heating on the injection molding compound.

5. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, the steps of the method according to any one of claims 1 to 3 are implemented.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, the steps of the method according to any one of claims 1 to 3 are implemented.

7. A computer program product comprising a computer program, characterized in that, When the computer program is executed by the processor, the steps of the method according to any one of claims 1 to 3 are implemented.

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