Intelligent adjustment method, system and equipment for hot runner temperature control box based on artificial intelligence, medium and program product

Abstract

The invention relates to an intelligent adjustment method, system and equipment for a hot runner temperature control box based on artificial intelligence, a medium and a program product. The method comprises the following steps: outputting a preheating signal and a heat preservation signal; waiting and acquiring a temperature signal after preheating and a temperature signal after heat preservation; whether the temperature signal after heat preservation is larger than a preset first temperature threshold value or not is judged; if not, the preheating signal and the heat preservation signal are adjusted, so that the temperature signal after heat preservation is higher than a preset first temperature threshold value; and inputting the temperature signal after heat preservation into a preset temperature compensation relation to calculate a temperature compensation signal parameter, and outputting a temperature compensation signal according to the temperature compensation signal parameter. Three links of preheating, heat preservation and temperature compensation are arranged on the hot runner, injection molding materials are heated in three stages, and the injection molding materials are heated to the temperature suitable for extrusion in the temperature compensation stage, so that power consumption can be reduced, the injection molding materials are prevented from being carbonized in the hot runner, and the product forming quality can be improved.

Description

Technical Field

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

[0002] The existing Chinese patent with announcement number CN221260110U discloses a hot runner heating system for injection molds, which relates to the hot runner field of injection molds, including 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 in the inner cavity of the device body, a stirring rod is fixedly connected in 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. The hot runner heating system for injection molds described in the application can evenly heat the fluid used for molding, and at the same time has a good heat preservation effect, can effectively prevent heat loss, and can stir the fluid in the inner cavity of the device body through the rotatable heat conduction ring and stirring rod, so as to improve its heating efficiency.

[0003] However, this type of injection mold hot runner heating system is limited by the layout of the electric heating elements and the mold structure. The heating speeds of different parts of the mold often differ, resulting in uneven temperature distribution and affecting the molding quality of the product. Summary of the invention

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

[0005] In a first aspect, the present application provides an intelligent adjustment method for a hot runner temperature control box based on artificial intelligence, the method comprising: Output preheating signal and insulation signal; Waiting for and obtaining the temperature signal after preheating and the temperature signal after keeping warm; Determine whether the temperature signal after heat preservation is greater than a preset first temperature threshold; If not, adjusting 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 temperature signal after insulation is input into the preset compensation temperature relationship to calculate the compensation temperature signal parameters, and the compensation temperature signal is output according to the compensation temperature signal parameters.

[0006] In one embodiment, the specific steps of waiting for and obtaining the temperature signal after preheating and the temperature signal after keeping warm include: The temperature T after preheating is obtained simultaneously a The temperature signal after preheating and the temperature after insulation T b The temperature signal after insulation; After preheating, the temperature T a and the temperature after insulation T b Substitute the preset heating constant calculation relationship to obtain the injection molding material heating constant A.

[0007] In one embodiment, the preset heating constant calculation relationship is as follows: A=P b ·t b / (T b -T a ) Among them, P b is the heating power corresponding to the insulation signal, t b It is the heating time of the insulation signal.

[0008] In one embodiment, the specific steps of adjusting the preheating signal and the heat preservation signal so that the temperature signal after heat preservation is higher than the preset first temperature threshold include: According to the temperature T corresponding to the temperature signal after insulation b and a preset first temperature threshold T b ', adjust the heating time of the insulation signal.

[0009] In one embodiment, the preheating signal and the insulation signal are both PWM square wave signals with a duty cycle and a peak-to-peak value having preset fixed values. When adjusting the preheating signal and the insulation signal, only the output time of the square wave signal per unit time is controlled.

[0010] In one embodiment, the preset temperature compensation relationship is as follows: D = A (T c -T b ) / P cmax ·t c Among them, 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 temperature after insulation, P cmax is the peak heating power corresponding to the temperature compensation signal, t c It is the preset compensation heating time.

[0011] In a second aspect, the present application also provides an artificial intelligence-based hot runner temperature control box intelligent adjustment system, the system comprising: A control module, used for outputting a preset preheating signal, a heat preservation signal and a temperature compensation signal; A calculation module, used to determine whether the temperature signal after insulation is greater than a preset first temperature threshold, adjust the preheating signal and the insulation signal, and input the temperature signal after insulation into a preset compensation temperature relationship to calculate the compensation temperature signal parameter; The heating module includes a preheating submodule, a heat preservation submodule and a temperature compensation submodule, wherein: A preheating submodule, used for receiving a preheating signal and performing a preheating process on the injection molding material; A heat preservation submodule, used for receiving a heat preservation signal to keep the temperature of the injection material at a first temperature threshold or a temperature close to the first temperature threshold; The temperature compensation submodule is used to receive the temperature compensation signal to compensate for heating the injection molding material.

[0012] In a third aspect, the present application further provides a computer device, the computer device comprising a memory and a processor, the memory storing a computer program, and the processor implementing the following steps when executing the computer program: Output preheating signal and insulation signal; Waiting for and obtaining the temperature signal after preheating and the temperature signal after keeping warm; Determine whether the temperature signal after heat preservation is greater than a preset first temperature threshold; If not, adjusting 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 temperature signal after insulation is input into the preset compensation temperature relationship to calculate the compensation temperature signal parameters, and the compensation temperature signal is output according to the compensation temperature signal parameters.

[0013] In a fourth aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented: Output preheating signal and insulation signal; Waiting for and obtaining the temperature signal after preheating and the temperature signal after keeping warm; Determine whether the temperature signal after heat preservation is greater than a preset first temperature threshold; If not, adjusting 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 temperature signal after insulation is input into the preset compensation temperature relationship to calculate the compensation temperature signal parameters, and the compensation temperature signal is output according to the compensation temperature signal parameters.

[0014] In a fifth aspect, the present application further provides a computer program product, the computer program product comprising a computer program, and when the computer program is executed by a processor, the following steps are implemented: Output preheating signal and insulation signal; Waiting for and obtaining the temperature signal after preheating and the temperature signal after keeping warm; Determine whether the temperature signal after heat preservation is greater than a preset first temperature threshold; If not, adjusting 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 temperature signal after insulation is input into the preset compensation temperature relationship to calculate the compensation temperature signal parameters, and the compensation temperature signal is output according to the compensation temperature signal parameters.

[0015] The above-mentioned artificial intelligence-based hot runner temperature control box intelligent adjustment method, system, computer equipment, storage medium and computer program product, by respectively setting preheating, insulation and supplementary heating three links on the hot runner, heats the injection plastic in three stages, and heats the injection plastic to a temperature suitable for extrusion in the supplementary heating stage, which can not only reduce power consumption and avoid carbonization of the injection plastic in the hot runner, but also improve the product molding quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A schematic diagram of a process of an intelligent adjustment method for a hot runner temperature control box based on artificial intelligence in one embodiment; Figure 2 It is a structural block diagram of an intelligent adjustment system of a hot runner temperature control box based on artificial intelligence in one embodiment; Figure 3 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment.

[0017] Figure numerals: 1. control module; 2. calculation module; 3. heating module; 31. preheating submodule; 32. insulation submodule; 33. temperature compensation submodule; 4. hot runner. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with 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.

[0019] In one embodiment, Figure 1 As shown, a method for intelligently adjusting a hot runner temperature control box based on artificial intelligence is provided, comprising the following steps: In a first aspect, the present application provides an intelligent adjustment method for a hot runner temperature control box based on artificial intelligence, the method comprising: Step S100: outputting a preheating signal and a heat preservation signal.

[0020] Among them, the preheating signal and the insulation signal are both PWM square wave signals with preset fixed values ​​of duty cycle and peak-to-peak value. When adjusting the preheating signal and the insulation signal, only the time of the square wave signal output per unit time is controlled. By outputting such preheating signal and insulation signal, the injection plastic in the flow channel can be heated to make it into a molten state. In some embodiments, when the device starts to heat the injection plastic and executes step S100 for the first time, the output preheating signal and insulation signal are manually input or system preset preheating signal and insulation signal. When executing subsequent steps, the preset preheating signal and insulation signal will be adjusted to achieve better preheating and insulation effect. In addition, the preheating stage can be completed synchronously with the injection plastic mixing stage. The injection plastic is heated in the process of mixing multiple injection plastics. In the insulation stage, the injection plastic can be kept in a molten state. On the one hand, it can flow in the hot runner, and on the other hand, it can also fully mix the multiple injection plastics that may exist, so that the texture of the mixed injection plastic is more uniform.

[0021] Step S200: Waiting for and acquiring the temperature signal after preheating and the temperature signal after keeping warm.

[0022] Among them, the post-preheating temperature is the temperature reached by the injection molding material after the 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 materials 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. The temperature of the molten injection molding material after the insulation stage (i.e., the post-insulation temperature) exists in three different situations: 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 an excessively high temperature to reduce the heat 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 an amorphous 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 preset fixed values ​​for duty cycle and peak-to-peak value, the purpose of adjusting the output power in the insulation stage can only be achieved by adjusting the output time of the insulation signal. One adjustment method that can be used as a reference is to adjust 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%, a frequency of 50Hz, and a unit time of 1s. In the initial state, the output time of the insulation signal per unit time is set to only account for 75%, that is, 0.75s, and the remaining 0.25s is not output. When the temperature after insulation is lower than the temperature after preheating, the power of the insulation stage can be adjusted by appropriately adjusting the proportion of the output time per unit time. By adjusting the power of the insulation stage in this way, the requirements for the circuit, especially the frequency division circuit, of the traditional method of adjusting the duty cycle of the PWM signal can be reduced, and the control method of the system can be simplified, thereby saving costs.

[0023] In the embodiment of the present application, the specific steps of step S200 include: Step S210: Acquire the temperature T after preheating respectively a The temperature signal after preheating and the temperature after insulation T b The temperature signal after insulation.

[0024] Step S220: The preheated temperature T a and the temperature after insulation T b Substitute the preset heating constant calculation relationship to obtain the injection molding material heating constant A.

[0025] Among them, the preset heating constant calculation relationship is as follows: A=P b ·t b / (T b -T a ) In the above relationship, P b is the heating power corresponding to the insulation signal, t b It is the heating time of the insulation signal.

[0026] Through step S210 and step S220, the temperature before and after the insulation stage, that is, the temperature after preheating T a Temperature after insulation T b The key parameter that affects the hot runner heating power and temperature change is calculated, namely the heating constant A. The heating constant A is related to the mass of the molten material heated in the insulation stage and its specific heat capacity. Under normal circumstances, the volume and density of the molten injection material in the insulation stage are constant. Therefore, the heating constant A is related to the specific heat capacity of the molten injection material, that is, the heating constant A is directly related to the physical properties of the molten injection material. This parameter is of reference significance for adjusting the power in the insulation stage and the power in the warming stage.

[0027] Step S300: Determine whether the temperature signal after heat preservation is greater than a preset first temperature threshold.

[0028] The first temperature threshold is the lowest temperature preset by the system that can maintain the fluidity of the injection molding material.

[0029] 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.

[0030] Through step S300 and step S400, the injection molding material can be kept in a molten state during the heat preservation stage and have better fluidity, thereby avoiding blockage in the hot runner.

[0031] In step S400, the specific steps of adjusting the preheating signal and the heat preservation signal so that the temperature signal after heat preservation is higher than the preset first temperature threshold include: According to the temperature T corresponding to the temperature signal after insulation b and a preset first temperature threshold T b ', adjust the heating time of the heat preservation signal. Among them, the first temperature threshold T is preset b ' is the temperature value that the molten injection material should maintain after the insulation stage is completed, which is manually input.

[0032] Step S500: inputting the temperature signal after heat preservation 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.

[0033] Among them, the preset temperature compensation relationship is as follows: D = A (T c -T b ) / P cmax ·t c Among them, 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 temperature after insulation, P cmax is the peak heating power corresponding to the temperature compensation signal, t c It is the preset compensation heating time.

[0034] Through the above steps, the injection molding material can be subjected to three different heating stages, namely, preheating, heat preservation and temperature compensation. The purpose of the preheating stage is to enable the injection molding material to be transformed from a solid state to a molten state, and to facilitate the full mixing of a variety of mixed injection molding materials. The purpose of the temperature compensation stage is to enable the injection molding material to maintain a molten state capable of flowing in the hot runner. The heating power of this link should not be too low or too high. It is necessary to reduce the output power while maintaining the injection molding material with better fluidity, so as to achieve the purpose of energy saving. The purpose of the temperature compensation stage is to heat the injection molding material to a temperature suitable for extrusion by heating for a short time. Since the injection molding process is intermittent, the temperature compensation 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, thereby adjusting the output power of the temperature compensation stage. In the three different heating processes, the key parameter affecting the heating effect is the heating constant A of the injection molding material, which can be calculated through step S200. Therefore, when implementing the method, the heating constant A of the injection molding material can be detected online, thereby dynamically adjusting the output power of the temperature compensation stage and the heat preservation stage, thereby improving the yield rate of injection molded parts.

[0035] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, 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 can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0036] Based on the same inventive concept, the embodiment of the present application also provides an artificial intelligence-based hot runner temperature control box intelligent adjustment system for implementing the artificial intelligence-based hot runner temperature control box intelligent adjustment method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more artificial intelligence-based hot runner temperature control box intelligent adjustment system embodiments provided below can refer to the limitations of the artificial intelligence-based hot runner temperature control box intelligent adjustment method above, and will not be repeated here.

[0037] In one embodiment, Figure 3 As shown, an intelligent adjustment system for 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, wherein: Control module 1, used for outputting preheating signal, heat preservation signal and temperature compensation signal; Calculation module 2, used to determine whether the temperature signal after insulation is greater than a preset first temperature threshold, adjust the preheating signal and the insulation signal, and input the temperature signal after insulation into a preset compensation temperature relationship to calculate the compensation temperature signal parameter; The heating module 3 includes a preheating submodule, a heat preservation submodule and a temperature compensation submodule, wherein: A preheating submodule 31 is used to receive a preheating signal and perform preheating processing on the injection molding material; The heat preservation submodule 32 is used to receive the heat preservation signal to keep the temperature of the injection material at a first temperature threshold or a temperature close to the first temperature threshold; The temperature compensation submodule 33 is used to receive the temperature compensation signal to compensate heating of the injection molding material; And, the temperature acquisition module 5 is used to obtain the temperature signal after preheating and the temperature signal after heat preservation.

[0038] Specifically, Figure 3 As shown, the preheating submodule 31, the heat preservation submodule 32 and the temperature compensation submodule 33 are all arranged in sequence on the hot runner 4, and arranged in sequence along the extrusion direction of the hot runner. The injection plastic passes through the preheating submodule 31, the heat preservation submodule 32 and the temperature compensation submodule 33 in the hot runner in sequence and is finally extruded.

[0039] Each module in the hot runner temperature control box intelligent adjustment system based on artificial intelligence can be implemented in whole or in part through software, hardware and their combination. Each module can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to each module above.

[0040] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 3 As 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 achieved through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, an intelligent adjustment method for a hot runner temperature control box based on artificial intelligence is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covered on the display screen, or a key, trackball or touchpad set on the shell of the computer device, or an external keyboard, touchpad or mouse.

[0041] Those skilled in the art will understand that Figure 3 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0042] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented: Step S100: outputting a preheating signal and a heat preservation signal.

[0043] Step S200: Waiting for and acquiring the temperature signal after preheating and the temperature signal after keeping warm. Specifically including: Step S210: Acquire the temperature T after preheating respectively a The temperature signal after preheating and the temperature after insulation T b The temperature signal after insulation.

[0044] Step S220: The preheated temperature T a and the temperature after insulation T b Substitute the preset heating constant calculation relationship to obtain the injection molding material heating constant A.

[0045] Step S300: Determine whether the temperature signal after heat preservation is greater than a preset first temperature threshold.

[0046] 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: According to the temperature T corresponding to the temperature signal after insulation b and a preset first temperature threshold T b ', adjust the heating time of the insulation signal.

[0047] Step S500: inputting the temperature signal after heat preservation 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.

[0048] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented: Step S100: outputting a preheating signal and a heat preservation signal.

[0049] Step S200: Waiting for and acquiring the temperature signal after preheating and the temperature signal after keeping warm. Specifically including: Step S210: Acquire the temperature T after preheating respectively a The temperature signal after preheating and the temperature after insulation T b The temperature signal after insulation.

[0050] Step S220: The preheated temperature T a and the temperature after insulation T b Substitute the preset heating constant calculation relationship to obtain the injection molding material heating constant A.

[0051] Step S300: Determine whether the temperature signal after heat preservation is greater than a preset first temperature threshold.

[0052] 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: According to the temperature T corresponding to the temperature signal after insulation b and a preset first temperature threshold T b ', adjust the heating time of the insulation signal.

[0053] Step S500: inputting the temperature signal after heat preservation 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.

[0054] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps: Step S100: outputting a preset preheating signal and a heat preservation signal.

[0055] Step S200: Waiting for and acquiring the temperature signal after preheating and the temperature signal after keeping warm. Specifically including: Step S210: Acquire the temperature T after preheating respectively a The temperature signal after preheating and the temperature after insulation T b The temperature signal after insulation.

[0056] Step S220: The preheated temperature T a and the temperature after insulation T b Substitute the preset heating constant calculation relationship to obtain the injection molding material heating constant A.

[0057] Step S300: Determine whether the temperature signal after heat preservation is greater than a preset first temperature threshold.

[0058] 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: According to the temperature T corresponding to the temperature signal after insulation b and a preset first temperature threshold T b ', adjust the heating time of the insulation signal.

[0059] Step S500: inputting the temperature signal after heat preservation 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.

[0060] 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 used 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.

[0061] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and 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-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0062] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, 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, they should be considered to be within the scope of this specification.

[0063] The above embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. An intelligent adjustment method for a hot runner temperature control box based on artificial intelligence, characterized in that: include: Output preheating signal and insulation signal; Waiting for and obtaining the temperature signal after preheating and the temperature signal after keeping warm; Determine whether the temperature signal after heat preservation is greater than a preset first temperature threshold; If not, adjusting 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 temperature signal after heat preservation is input into the preset temperature compensation relationship to calculate the temperature compensation signal parameters, and the temperature compensation signal is output according to the temperature compensation signal parameters, wherein the preset temperature compensation relationship is as follows: D=A(T c -T b ) / P cmax ·t c Among them, 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 temperature after insulation corresponding to the temperature signal after insulation, P cmax is the peak heating power corresponding to the temperature compensation signal, t c It is the preset compensation heating time.

2. The method according to claim 1, characterized in that The specific steps of waiting for and obtaining the temperature signal after preheating and the temperature signal after heat preservation include: The temperature T after preheating is obtained simultaneously a The temperature signal after preheating and the temperature after insulation T b The temperature signal after insulation; After preheating, the temperature T a and the temperature after insulation T b Substitute the preset heating constant calculation relationship to obtain the injection molding material heating constant A.

3. The method according to claim 2, characterized in that The preset heating constant calculation relationship is as follows: A=P b ·t b / (T b -T a ) Among them, P b is the heating power corresponding to the insulation signal, t b It is the heating time of the insulation signal.

4. The method according to claim 3, characterized in that The specific steps of adjusting the preheating signal and the heat preservation signal so that the temperature signal after heat preservation is higher than the preset first temperature threshold include: According to the temperature T corresponding to the temperature signal after insulation b and a preset first temperature threshold T b ', adjust the heating time of the insulation signal.

5. The method according to claim 4, characterized in that The preheating signal and the heat preservation signal are both PWM square wave signals with a duty cycle and a peak-to-peak value both of which are preset fixed values. When adjusting the preheating signal and the heat preservation signal, only the output time of the square wave signal per unit time is controlled.

6. An intelligent adjustment system for hot runner temperature control box based on artificial intelligence, characterized in that: The system comprises: A control module, used for outputting a preheating signal, a heat preservation signal and a temperature compensation signal; A calculation module, used to determine whether the temperature signal after insulation is greater than a preset first temperature threshold, adjust the preheating signal and the insulation signal, and input the temperature signal after insulation into a preset compensation temperature relationship to calculate the compensation temperature signal parameter; The heating module includes a preheating submodule, a heat preservation submodule and a temperature compensation submodule, wherein: A preheating submodule, used for receiving a preheating signal and performing a preheating process on the injection molding material; A heat preservation submodule, used for receiving a heat preservation signal to keep the temperature of the injection material at a first temperature threshold or a temperature close to the first temperature threshold; The temperature compensation submodule is used to receive the temperature compensation signal to compensate for heating the injection molding material.

7. A computer device comprising a memory and a processor, wherein the memory stores 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 5 are implemented.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

9. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

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