Intelligent flow control method and system for mold waterway

Abstract

The invention relates to the technical field of waterway temperature control, in particular to a mold waterway intelligent flow control method and system. The scheme comprises the following steps: arranging an injection molding machine control structure; a temperature measurement sensor is arranged at an outlet of each pipeline path, and temperature rise time is recorded; inlet flow monitoring and outlet flow monitoring are carried out; pipeline paths at different temperatures are extracted, and pipeline setting is conducted on line; temperature measurement output of the pipeline is obtained in real time, and pipeline adjustment is conducted on line; and the temperature in the whole pipeline is displayed on line. According to the scheme, the temperature measurement sensor is arranged to record the temperature rise time, inlet and outlet flow monitoring is carried out, pipeline paths at different temperatures are extracted and switched on line, the pipeline temperature measurement output is obtained in real time and compared with the preset temperature, the pipeline temperature state is displayed on line, and precise temperature control over the injection molding machine is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of water channel temperature control, and more specifically, to a mold water channel intelligent flow control method and system. Background Art

[0002] In the field of water channel temperature control, the research on intelligent flow control technology for mold water channels is crucial. This technology uses advanced components such as high-precision microprocessors and stainless steel heat exchangers, combined with PID control methods, to achieve precise regulation of mold temperature. Its significance lies in improving product quality, enhancing production efficiency and reducing energy consumption. Its importance is reflected in ensuring stable molding quality, improving product precision and reducing the production of defective products.

[0003] Prior to the present invention, the existing intelligent flow control method for mold water circuits mainly used simple mechanical water flow distributors, which could only display and control the flow of each pipe circuit in a simple and inaccurate manner. The technical difficulties and key points include: how to achieve real-time monitoring and automatic adjustment of flow and temperature, and how to issue an alarm when an abnormality occurs. Since traditional methods cannot meet the needs of high-precision products and intelligent control, it is necessary to develop a new system that can accurately control mold temperature, improve product quality and production efficiency. Summary of the invention

[0004] In view of the above problems, the present invention proposes a mold water channel intelligent flow control method and system, which realizes precise temperature control of the injection molding machine by setting a temperature sensor to record the temperature rise time, monitoring the inlet and outlet flow, extracting the pipeline paths at different temperatures and switching them online, obtaining the pipeline temperature measurement output in real time and comparing it with the preset temperature, and displaying the pipeline temperature status online.

[0005] According to a first aspect of an embodiment of the present invention, a mold water channel intelligent flow control method is provided.

[0006] In one or more embodiments, preferably, the mold waterway intelligent flow control method includes:

[0007] Set up an injection molding machine control structure;

[0008] Set up a temperature sensor at the outlet of each pipeline path to record the temperature rise time;

[0009] Carry out inlet flow monitoring and outlet flow monitoring;

[0010] Extract pipeline paths at different temperatures and perform pipeline settings online;

[0011] Obtain the temperature measurement output of the pipeline in real time and adjust the pipeline online;

[0012] The temperature in the entire pipeline is displayed online.

[0013] In one or more embodiments, preferably, the setting of an injection molding machine control structure specifically includes:

[0014] Setting up an injection molding machine control structure including a power supply unit, a central processing unit unit, a servo drive unit, a servo motor unit, an execution control unit, a valve body unit, and a sensor unit;

[0015] The power supply unit controls the power supply usage of the central processing unit and the back-end execution unit;

[0016] The central processing unit is used to issue and receive feedback instructions and give unified calculation results;

[0017] The servo drive unit controls the servo motor unit to perform the operation;

[0018] The servo motor unit operates to realize the machine operation;

[0019] The execution control unit transmits the CPU instructions to control the IO output;

[0020] The valve body unit receives the instruction from the execution control unit to execute the action;

[0021] The sensor unit feeds back whether the execution unit executes according to the instructions.

[0022] In one or more embodiments, preferably, the step of setting a temperature sensor at the outlet of each pipeline path to record the temperature rise time specifically includes:

[0023] Record the current time when the entire pipeline is at the current ambient temperature;

[0024] Record the time it takes for the outlet temperature to rise to the maximum required temperature;

[0025] Record the time it takes for the outlet temperature to drop to the minimum required temperature.

[0026] In one or more embodiments, preferably, the inlet flow monitoring and the outlet flow monitoring specifically include:

[0027] Flow sensors are separately provided at the inlet and outlet of the pipeline;

[0028] The pipeline flow is collected online through a flow sensor, and the average value of the pipeline inlet and outlet is taken as the pipeline flow.

[0029] In one or more embodiments, preferably, extracting pipeline paths at different temperatures and performing pipeline settings online specifically includes:

[0030] The time required to rise from normal temperature to the maximum required temperature at the current flow rate is obtained as the heating time;

[0031] The time required to rise from normal temperature to the minimum required temperature at the current flow rate is obtained as the cooling time;

[0032] The first calculation formula is used to calculate the pipeline duration in advance;

[0033] Calculate the pipeline distance using the second calculation formula;

[0034] Calculate the safety distance using the third calculation formula;

[0035] A petal-shaped segmented pipeline is set, the edge of the petal is the segmented pipeline, and a valve is set in the pistil area to determine whether the pipeline passes through the edge of the petal. The side length of each petal is L, and there are N segments of petals in total;

[0036] Calculate the total number of opened petal pipelines using the fourth calculation formula;

[0037] The first calculation formula is:

[0038] TX=max(T1,T2)

[0039] Among them, max is the maximum value extraction function, T1 is the heating time, T2 is the cooling time, and TX is the demand pipeline time;

[0040] The second calculation formula is:

[0041] B=TX×V

[0042] Wherein, B is the pipeline distance, V is the pipeline flow rate;

[0043] The third calculation formula is:

[0044] AN=1.3×B

[0045] Among them, AN is the safety distance;

[0046] The fourth calculation formula is:

[0047] M=Z(AN÷L)

[0048] Where Z is the rounding function and M is the total number of open petal pipelines.

[0049] In one or more embodiments, preferably, the real-time acquisition of the temperature measurement output of the pipeline and online pipeline adjustment specifically includes:

[0050] Obtain the temperature measurement output of the pipeline in real time and compare it with the preset given temperature;

[0051] When the fifth calculation formula is satisfied, the required pipeline duration is updated, otherwise the original required pipeline duration is maintained unchanged;

[0052] The fifth calculation formula is:

[0053] |G1-G0|>5℃

[0054] Among them, G1 is the temperature measurement output of the pipeline, and G0 is the preset given temperature.

[0055] In one or more embodiments, preferably, the online display of the temperature in the entire pipeline specifically includes:

[0056] When the pipeline flow is within the range of ±5% of the preset flow, it is set to a green flow state;

[0057] When the pipeline flow rate is above 105% of the preset flow rate, it is set to the red flow state;

[0058] When the pipeline flow is below 95% of the preset flow, it is set to the yellow flow state.

[0059] According to a second aspect of an embodiment of the present invention, a mold water channel intelligent flow control system is provided.

[0060] In one or more embodiments, preferably, the mold waterway intelligent flow control system includes:

[0061] Structural design module, used to set up an injection molding machine control structure;

[0062] The duration learning module is used to set up temperature sensors at the outlet of each pipeline path and record the temperature rise time;

[0063] A flow monitoring module is used for inlet flow monitoring and outlet flow monitoring;

[0064] Pipeline switching module, used to extract pipeline paths at different temperatures and perform pipeline settings online;

[0065] Temperature measurement output module, used to obtain the temperature measurement output of the pipeline in real time and make online pipeline adjustments;

[0066] The online display module is used to display the temperature in the entire pipeline online.

[0067] According to a third aspect of an embodiment of the present invention, there is provided a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the method as described in any one of the first aspect of the embodiment of the present invention is implemented.

[0068] According to a fourth aspect of an embodiment of the present invention, there is provided an electronic device, comprising a memory and a processor, wherein the memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement any one of the methods described in the first aspect of the embodiment of the present invention.

[0069] The technical solution provided by the embodiments of the present invention may have the following beneficial effects:

[0070] In the solution of the present invention, a temperature sensor is set at the outlet of each pipeline path to record the temperature rise and temperature drop time, thereby achieving real-time temperature monitoring. This high-precision temperature control can ensure the stability of the mold temperature during the injection molding process, thereby improving product quality and reducing the scrap rate.

[0071] In the solution of the present invention, the central processing unit is used to uniformly calculate and issue instructions, combined with the coordinated work of the servo drive unit and the execution control unit, to achieve automatic control of the entire system. The pipeline temperature status is displayed online, and through flow monitoring and pipeline switching technology, the system can be dynamically adjusted according to actual needs, improving operational efficiency and production flexibility.

[0072] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0073] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0075] Figure 1 It is a flow chart of a mold water channel intelligent flow control method according to an embodiment of the present invention.

[0076] Figure 2 It is a flow chart of setting an injection molding machine control structure in a mold water channel intelligent flow control method according to an embodiment of the present invention.

[0077] Figure 3 The present invention is a flow chart of a mold water channel intelligent flow control method in which a temperature sensor is set at the outlet of each pipeline path to record the temperature rise time.

[0078] Figure 4 It is a flow chart of inlet flow monitoring and outlet flow monitoring in a mold water channel intelligent flow control method according to an embodiment of the present invention.

[0079] Figure 5 It is a flow chart of extracting pipeline paths at different temperatures and performing pipeline settings online in a mold waterway intelligent flow control method according to an embodiment of the present invention.

[0080] Figure 6 The present invention is a flowchart of a method for intelligent flow control of a mold water channel in an embodiment of the present invention for obtaining the temperature measurement output of the pipeline in real time and adjusting the pipeline online.

[0081] Figure 7 It is a flow chart for online display of the temperature in the entire pipeline in a mold water channel intelligent flow control method according to an embodiment of the present invention.

[0082] Figure 8 It is a structural diagram of a mold waterway intelligent flow control system according to an embodiment of the present invention.

[0083] Fig. 9 It is a structural diagram of an electronic device in one embodiment of the present invention. DETAILED DESCRIPTION

[0084] In some of the processes described in the specification and claims of the present invention and the above-mentioned figures, multiple operations that appear in a specific order are included, but it should be clearly understood that these operations may not be executed in the order in which they appear in this article or executed in parallel. The serial numbers of the operations, such as 101, 102, etc., are only used to distinguish different operations, and the serial numbers themselves do not represent any execution order. In addition, these processes may include more or fewer operations, and these operations may be executed in sequence or in parallel. It should be noted that the descriptions of "first", "second", etc. in this article are used to distinguish different messages, devices, modules, etc., do not represent the order of precedence, and do not limit the "first" and "second" to be different types.

[0085] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0086] In the field of water channel temperature control, the research on intelligent flow control technology for mold water channels is crucial. This technology uses advanced components such as high-precision microprocessors and stainless steel heat exchangers, combined with PID control methods, to achieve precise regulation of mold temperature. Its significance lies in improving product quality, enhancing production efficiency and reducing energy consumption. Its importance is reflected in ensuring stable molding quality, improving product precision and reducing the production of defective products.

[0087] Prior to the present invention, the existing intelligent flow control method for mold water circuits mainly used simple mechanical water flow distributors, which could only display and control the flow of each pipe circuit in a simple and inaccurate manner. The technical difficulties and key points include: how to achieve real-time monitoring and automatic adjustment of flow and temperature, and how to issue an alarm when an abnormality occurs. Since traditional methods cannot meet the needs of high-precision products and intelligent control, it is necessary to develop a new system that can accurately control mold temperature, improve product quality and production efficiency.

[0088] In the embodiment of the present invention, a mold water channel intelligent flow control method and system are provided. The solution realizes precise temperature control of the injection molding machine by setting a temperature sensor to record the temperature rise time, monitoring the inlet and outlet flow, extracting the pipeline path at different temperatures and switching it online, obtaining the pipeline temperature measurement output in real time and comparing it with the preset temperature, and displaying the pipeline temperature status online.

[0089] According to a first aspect of an embodiment of the present invention, a mold water channel intelligent flow control method is provided.

[0090] Figure 1 It is a flow chart of a mold water channel intelligent flow control method according to an embodiment of the present invention.

[0091] In one or more embodiments, preferably, the mold waterway intelligent flow control method includes:

[0092] S101, setting an injection molding machine control structure;

[0093] S102, setting a temperature sensor at the outlet of each pipeline path and recording the temperature rise time;

[0094] S103, performing inlet flow monitoring and outlet flow monitoring;

[0095] S104, extracting pipeline paths at different temperatures, and performing pipeline settings online;

[0096] S105, obtaining the temperature measurement output of the pipeline in real time and adjusting the pipeline online;

[0097] S106. Display the temperature in the entire pipeline online.

[0098] In the embodiment of the present invention, accurate control of the mold temperature is achieved through real-time monitoring, intelligent adjustment, alarm prompts, data recording and other functions, thereby improving product quality and production efficiency.

[0099] Figure 2 It is a flow chart of setting an injection molding machine control structure in a mold water channel intelligent flow control method according to an embodiment of the present invention.

[0100] like Figure 2 As shown, in one or more embodiments, preferably, the setting of an injection molding machine control structure specifically includes:

[0101] S201, setting an injection molding machine control structure including a power supply unit, a central processing unit unit, a servo drive unit, a servo motor unit, an execution control unit, a valve body unit, and a sensor unit;

[0102] S202, the power supply unit controls the power supply of the central processing unit and the back-end execution unit;

[0103] S203, the central processing unit is used to issue and receive feedback instructions, and uniformly calculate and give results;

[0104] S204, the servo drive unit controls the servo motor unit to perform the operation;

[0105] S205, the servo motor unit operates to realize the machine operation;

[0106] S206, the execution control unit transmits the central processing unit instruction to control the IO output;

[0107] S207, the valve body unit receives the instruction of the execution control unit and executes the action;

[0108] S208: The sensor unit feeds back whether the execution unit executes according to the instruction.

[0109] In an embodiment of the present invention, an injection molding machine control system includes at least one central processing unit, a servo drive unit, a plurality of servo motors for driving shaft movements, each motor corresponds to a servo drive unit, an execution control unit (IO control unit), a valve unit, a sensor unit, and a power supply for supplying power to the control system, wherein: the central processing unit is the core of the control system, and the power supply unit, the servo drive unit, and the execution control unit are connected to it through a power line, an IO line, and a communication line respectively. The servo motor unit is directly connected to the servo drive as an execution unit of the servo drive; the execution control unit is directly connected to the central processing unit by a communication cable; the valve unit is connected to the output signal of the execution control unit; and the sensor unit is connected to the input signal of the execution control unit. The central processing unit is used to issue and receive feedback instructions, and the signal is centrally issued by the central processing unit. The servo drive unit and the execution control unit receive the command and issue it to the next-level execution unit. The servo drive unit receives the signal from the central processing unit to control the forward and reverse rotation, acceleration and deceleration, and start and stop operation of the servo motor unit. The servo motor unit executes the signal from the servo drive unit to drive other carriers to operate. The execution control unit receives the signal from the central processing unit to execute the input reception and output control of the IO signal. The valve unit receives the signal from the execution control unit to execute the action of opening and closing the valve. The sensor unit transmits the feedback of the valve action and the servo in-position action to the central processor unit, and the central processor unit analyzes whether it is executed according to the instruction.

[0110] Figure 3 The present invention is a flow chart of a mold water channel intelligent flow control method in which a temperature sensor is set at the outlet of each pipeline path to record the temperature rise time.

[0111] like Figure 3 As shown, in one or more embodiments, preferably, a temperature sensor is provided at the outlet of each pipeline path to record the temperature rise time, specifically including:

[0112] S301, recording the current time when the entire pipeline is at the current ambient temperature;

[0113] S302, recording the time when the outlet temperature rises to the maximum required temperature;

[0114] S303, recording the time when the outlet temperature drops to the minimum required temperature.

[0115] In an embodiment of the present invention, a temperature sensing device is set at the outlet of each pipeline path to monitor temperature changes in real time and record key time points. The specific implementation method is as follows: First, when the entire pipeline is at the current ambient temperature, the system will record this moment as a reference point. For example, assuming that the ambient temperature is 25°C, when the entire pipeline reaches this temperature, the system will automatically mark the timestamp of this moment, such as "June 1, 2024 10:00:00". Next, the system starts the heating process until the outlet temperature rises to the maximum required temperature. To illustrate with a specific example, if the maximum required temperature is set to 180°C, then the timing starts from the reference point until the outlet temperature sensor detects that the temperature reaches 180°C, and this period of time is recorded. Assuming that this process takes 3 minutes, it is recorded as "June 1, 2024 10:03:00". Then, the system enters the cooling stage, and similarly, when the outlet temperature drops to the minimum required temperature, the time of this moment is recorded again. Assuming that the minimum required temperature is set to 80°C, and the process of dropping from the maximum temperature to 80°C takes 5 minutes, it will be recorded as "June 1, 2024 10:08:00". In this way, we can accurately know the time required to reach the target temperature under different conditions (such as different flow rates, different initial temperatures, etc.). These data are of great significance for optimizing the production process and improving product quality. For example, if it is found that a certain link takes too long or too short, the parameters can be adjusted in time to improve efficiency or ensure quality. In addition, this detailed record is also helpful for later analysis of the cause of the failure and improving the level of equipment maintenance.

[0116] Figure 4 It is a flow chart of inlet flow monitoring and outlet flow monitoring in a mold water channel intelligent flow control method according to an embodiment of the present invention.

[0117] like Figure 4 As shown, in one or more embodiments, preferably, the inlet flow monitoring and the outlet flow monitoring specifically include:

[0118] S401, separately setting flow sensors at the inlet and outlet of the pipeline;

[0119] S402, collecting pipeline flow online through a flow sensor, and taking the average value of the pipeline inlet and outlet as the pipeline flow.

[0120] In an embodiment of the present invention, first, flow sensors are respectively set at the inlet and outlet of the pipeline. These flow sensors can measure and record the water flow through the point in real time. For example, in a typical application scenario, it is assumed that the instantaneous flow measured by the inlet flow sensor is 5 liters / minute, and the instantaneous flow measured by the outlet flow sensor is 4.8 liters / minute. Next, the system will collect the flow data in the pipeline online through these two flow sensors. In order to ensure the accuracy of the data, the flow values ​​of the inlet and outlet will be averaged. In this example, the average flow will be (5+4.8) / 2=4.9 liters / minute. This average value will be used as the actual flow of the entire pipeline for subsequent calculations and control. In this way, the actual flow situation in the pipeline can be more accurately understood, thereby better controlling temperature changes. This precise flow monitoring not only helps to improve product quality, but also effectively reduce energy consumption and extend the service life of equipment. In addition, real-time flow data can also be used for fault diagnosis and maintenance planning, further improving production efficiency and safety.

[0121] Figure 5 It is a flow chart of extracting pipeline paths at different temperatures and performing pipeline settings online in a mold waterway intelligent flow control method according to an embodiment of the present invention.

[0122] like Figure 5 As shown, in one or more embodiments, preferably, extracting pipeline paths at different temperatures and performing pipeline settings online specifically includes:

[0123] S501, obtaining the time required for the temperature to rise from normal temperature to the maximum required temperature at the current flow rate as the heating time;

[0124] S502, obtaining the time required for the temperature to rise from normal temperature to the minimum required temperature at the current flow rate as the cooling time;

[0125] S503, using the first calculation formula to advance the pipeline duration required;

[0126] S504, calculating the pipeline distance using a second calculation formula;

[0127] S505, calculating the safety distance using a third calculation formula;

[0128] S506, setting a petal-shaped segmented pipeline, the edge of the petal is the segmented pipeline, a valve is set in the stamen area to determine whether the pipeline passes through the edge of the petal, the side length of each petal is L, and there are N segments of petals in total;

[0129] S507, calculating the total number of opened petal pipelines using the fourth calculation formula;

[0130] The first calculation formula is:

[0131] TX=max(T1,T2)

[0132] Among them, max is the maximum value extraction function, T1 is the heating time, T2 is the cooling time, and TX is the demand pipeline time;

[0133] The second calculation formula is:

[0134] B=TX×V

[0135] Among them, B is the pipeline distance, V is the pipeline flow rate;

[0136] The third calculation formula is:

[0137] AN=1.3×B

[0138] Among them, AN is the safety distance;

[0139] The fourth calculation formula is:

[0140] M=Z(AN÷L)

[0141] Where Z is the rounding function and M is the total number of open petal pipelines.

[0142] In an embodiment of the present invention, the system will calculate the time required to rise from normal temperature to the maximum required temperature (heating time) and the time required to drop from normal temperature to the minimum required temperature (cooling time) according to the current flow rate and temperature requirements. For example, assuming that the current flow rate is 10 liters / minute, the maximum required temperature is 80°C, and the minimum required temperature is 60°C. Through experimental data or preset models, it can be obtained that the heating time is 5 minutes and the cooling time is 3 minutes. Next, the system will use the first calculation formula TX=max(T1,T2), where T1 is the heating time, T2 is the cooling time, and TX is the required pipeline time. In this example, TX=max(5,3)=5 minutes. Then, the system will use the second calculation formula B=TX×V, where B is the pipeline distance and V is the pipeline flow. In this example, if the pipeline flow is 10 liters / minute, B=5×10=50 meters. Then, the system will use the third calculation formula AN=1.3×B, where AN is the safety distance. In this example, AN=1.3×50=65 meters. After that, the system will set up a petal-shaped segmented pipeline, with the edge of the petal as a segmented pipeline, and a valve is set in the stamen area to determine whether the pipeline passes through the edge of the petal. The side length of each petal is L, and there are N segments of petals. For example, the length L of each petal can be set to 10 meters, with a total of 5 segments of petals. Finally, the system will use the fourth calculation formula M=Z(AN÷L), where Z is the rounding function and M is the total number of petal pipelines opened. In this example, M=Z(65÷10)=7. This means that 7 petal-shaped segmented pipelines need to be opened to meet the demand. In this way, it can be ensured that the pipeline path can be accurately controlled at different temperatures, thereby achieving precise temperature control of the injection molding machine. This design not only improves production efficiency, but also reduces energy consumption and maintenance costs.

[0143] Figure 6 The present invention is a flowchart of a method for intelligent flow control of a mold water channel in an embodiment of the present invention for obtaining the temperature measurement output of the pipeline in real time and adjusting the pipeline online.

[0144] like Figure 6 As shown, in one or more embodiments, preferably, the real-time acquisition of the temperature measurement output of the pipeline and online pipeline adjustment specifically include:

[0145] S601, obtaining the temperature measurement output of the pipeline in real time, and comparing it with the preset given temperature;

[0146] S602: When the fifth calculation formula is satisfied, the required pipeline duration is updated; otherwise, the original required pipeline duration is maintained unchanged;

[0147] The fifth calculation formula is:

[0148] |G1-G0|>5℃

[0149] Among them, G1 is the temperature measurement output of the pipeline, and G0 is the preset given temperature.

[0150] In an embodiment of the present invention, the system will obtain the temperature measurement output of the pipeline in real time, that is, the actual temperature value of the current pipeline. For example, assume that at a certain point in time, the temperature measurement output of the pipeline is 75°C. At the same time, the system will compare this actual temperature value with the preset given temperature. In this example, the preset given temperature may be set to 80°C. Next, the system will determine whether it is necessary to update the required pipeline duration according to the fifth calculation formula |G1-G0|>5°C. In this formula, G1 represents the temperature measurement output of the pipeline, and G0 represents the preset given temperature. If the absolute value of the difference between the two is greater than 5°C, it means that the actual temperature deviates from the preset temperature by a large amount. At this time, the required pipeline duration needs to be updated to adapt to the new temperature conditions; conversely, if the difference does not exceed 5°C, the original required pipeline duration is maintained unchanged. In this way, it can be ensured that the pipeline path can be accurately controlled under different temperature conditions, thereby achieving precise temperature control of the injection molding machine. This design not only improves production efficiency, but also reduces energy consumption and maintenance costs.

[0151] Figure 7 It is a flow chart for online display of the temperature in the entire pipeline in a mold water channel intelligent flow control method according to an embodiment of the present invention.

[0152] like Figure 7 As shown, in one or more embodiments, preferably, the online display of the temperature in the entire pipeline specifically includes:

[0153] S701, when the pipeline flow is within the range of ±5% of the preset flow, it is set to a green flow state;

[0154] S702, when the pipeline flow is above 105% of the preset flow, it is set to a red flow state;

[0155] S703. When the pipeline flow is below 95% of the preset flow, it is set to a yellow flow state.

[0156] In an embodiment of the present invention, the system monitors the flow rate of the pipeline in real time and adjusts the color display state of the pipeline according to the change of the flow rate. For example, assuming that the preset flow rate is 10 liters / minute, when the pipeline flow rate fluctuates within the range of ±5% of this value (i.e., 9.5 to 10.5 liters / minute), the system will be set to a green flow state, indicating that the flow rate is normal and stable. If the pipeline flow rate exceeds 105% of the preset flow rate, that is, exceeds 10.5 liters / minute, the system will be set to a red flow state to warn the operator that there may be an overload or abnormal situation, which requires timely inspection and processing. On the contrary, if the pipeline flow rate is lower than 95% of the preset flow rate, that is, lower than 9.5 liters / minute, the system is set to a yellow flow state, prompting the operator that the flow rate is low and the pump speed or other related parameters may need to be adjusted to ensure a normal production process. In this way, the actual temperature in the pipeline can be intuitively understood, thereby better controlling the production process. This design not only improves production efficiency, but also reduces energy consumption and maintenance costs.

[0157] According to a second aspect of an embodiment of the present invention, a mold water channel intelligent flow control system is provided.

[0158] Figure 8 It is a structural diagram of a mold waterway intelligent flow control system according to an embodiment of the present invention.

[0159] In one or more embodiments, preferably, the mold waterway intelligent flow control system includes:

[0160] The structure design module 801 is used to set up an injection molding machine control structure;

[0161] The duration learning module 802 is used to set a temperature sensor at the outlet of each pipeline path and record the temperature rise time;

[0162] The flow monitoring module 803 is used to monitor the inlet flow and the outlet flow;

[0163] The pipeline switching module 804 is used to extract pipeline paths at different temperatures and perform pipeline settings online;

[0164] The temperature measurement output module 805 is used to obtain the temperature measurement output of the pipeline in real time and adjust the pipeline online;

[0165] The online display module 806 is used to display the temperature in the entire pipeline online.

[0166] In the embodiment of the present invention, a system suitable for different structures is realized through a series of modular designs. The system can achieve closed-loop, reliable and efficient execution through collection, analysis and control.

[0167] According to a third aspect of an embodiment of the present invention, there is provided a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the method as described in any one of the first aspect of the embodiment of the present invention is implemented.

[0168] According to a fourth aspect of an embodiment of the present invention, an electronic device is provided. Fig. 9 It is a structural diagram of an electronic device in one embodiment of the present invention. Fig. 9 The electronic device shown is a universal mold waterway intelligent flow control device. Fig. 9 As shown, the electronic device 900 includes a central processing unit (CPU) 901, which can perform various appropriate actions and processes according to computer program instructions stored in a read-only memory (ROM) 902 or computer program instructions loaded from a storage unit 908 into a random access memory (RAM) 903. In the RAM 903, various programs and data required for the operation of the electronic device 900 can also be stored. The CPU 901, the ROM 902, and the RAM 903 are connected to each other via a bus 904. An input / output (I / O) interface 905 is also connected to the bus 904.

[0169] Multiple components in the electronic device 900 are connected to the I / O interface 905, including: an input unit 906, an output unit 907, a storage unit 908, and the processing unit 901 performs the various methods and processes described above, such as the method described in the first aspect of the embodiment of the present invention. For example, in some embodiments, the method described in the first aspect of the embodiment of the present invention may be implemented as a computer software program, which is stored in a machine-readable medium, such as the storage unit 908. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 900 via the ROM 902 and / or the communication unit 909. When the computer program is loaded into the RAM 903 and executed by the CPU 901, one or more operations of the method described in the first aspect of the embodiment of the present invention may be performed. Alternatively, in other embodiments, the CPU 901 may be configured as one or more actions of the method described in the first aspect of the embodiment of the present invention by any other appropriate means (e.g., by means of firmware).

[0170] The technical solution provided by the embodiments of the present invention may have the following beneficial effects:

[0171] In the solution of the present invention, a temperature sensor is set at the outlet of each pipeline path to record the temperature rise and temperature drop time, thereby achieving real-time temperature monitoring. This high-precision temperature control can ensure the stability of the mold temperature during the injection molding process, thereby improving product quality and reducing the scrap rate.

[0172] In the solution of the present invention, the central processing unit is used to uniformly calculate and issue instructions, combined with the coordinated work of the servo drive unit and the execution control unit, to achieve automatic control of the entire system. The pipeline temperature status is displayed online, and through flow monitoring and pipeline switching technology, the system can be dynamically adjusted according to actual needs, improving operational efficiency and production flexibility.

[0173] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) containing computer-usable program code.

[0174] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0175] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0176] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0177] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A mold waterway intelligent flow control method, characterized in that: The method includes: Set up an injection molding machine control structure; Set up a temperature sensor at the outlet of each pipeline path to record the temperature rise time; Carry out inlet flow monitoring and outlet flow monitoring; Extract pipeline paths at different temperatures and perform pipeline settings online; Obtain the temperature measurement output of the pipeline in real time and adjust the pipeline online; The temperature in the entire pipeline is displayed online.

2. A mold waterway intelligent flow control method as claimed in claim 1, characterized in that: The setting of an injection molding machine control structure specifically includes: Setting up an injection molding machine control structure including a power supply unit, a central processing unit unit, a servo drive unit, a servo motor unit, an execution control unit, a valve body unit, and a sensor unit; The power supply unit controls the power supply usage of the central processing unit and the back-end execution unit; The central processing unit is used to issue and receive feedback instructions and give unified calculation results; The servo drive unit controls the servo motor unit to perform the operation; The servo motor unit operates to realize the machine operation; The execution control unit transmits the CPU instructions to control the IO output; The valve body unit receives the instruction from the execution control unit to execute the action; The sensor unit feeds back whether the execution unit executes according to the instructions.

3. A mold water channel intelligent flow control method as claimed in claim 1, characterized in that: The temperature sensor is set at the outlet of each pipeline path to record the temperature rise time, specifically including: Record the current time when the entire pipeline is at the current ambient temperature; Record the time it takes for the outlet temperature to rise to the maximum required temperature; Record the time it takes for the outlet temperature to drop to the minimum required temperature.

4. A mold water channel intelligent flow control method as claimed in claim 1, characterized in that: The inlet flow monitoring and outlet flow monitoring specifically include: Flow sensors are separately provided at the inlet and outlet of the pipeline; The pipeline flow is collected online through a flow sensor, and the average value of the pipeline inlet and outlet is taken as the pipeline flow.

5. A mold water channel intelligent flow control method as claimed in claim 1, characterized in that: The extracting of pipeline paths at different temperatures and performing pipeline settings online specifically include: The time required to rise from normal temperature to the maximum required temperature at the current flow rate is obtained as the heating time; The time required to rise from normal temperature to the minimum required temperature at the current flow rate is obtained as the cooling time; The first calculation formula is used to calculate the pipeline duration in advance; Calculate the pipeline distance using the second calculation formula; Calculate the safety distance using the third calculation formula; A petal-shaped segmented pipeline is set, the edge of the petal is the segmented pipeline, and a valve is set in the pistil area to determine whether the pipeline passes through the edge of the petal. The side length of each petal is L, and there are N segments of petals in total; Calculate the total number of opened petal pipelines using the fourth calculation formula; The first calculation formula is: TX=max(T1,T2) Among them, max is the maximum value extraction function, T1 is the heating time, T2 is the cooling time, and TX is the demand pipeline time; The second calculation formula is: B=TX×V Among them, B is the pipeline distance, V is the pipeline flow rate; The third calculation formula is: AN=1.3×B Among them, AN is the safety distance; The fourth calculation formula is: M=Z(AN÷L) Where Z is the rounding function and M is the total number of open petal pipelines.

6. A mold water channel intelligent flow control method as claimed in claim 5, characterized in that: The real-time acquisition of the temperature measurement output of the pipeline and online pipeline adjustment specifically include: Obtain the temperature measurement output of the pipeline in real time and compare it with the preset given temperature; When the fifth calculation formula is satisfied, the required pipeline duration is updated, otherwise the original required pipeline duration is maintained unchanged; The fifth calculation formula is: |G1-G0|>5℃ Among them, G1 is the temperature measurement output of the pipeline, and G0 is the preset given temperature.

7. A mold water channel intelligent flow control method as claimed in claim 1, characterized in that: The online display of the temperature in the entire pipeline specifically includes: When the pipeline flow is within the range of ±5% of the preset flow, it is set to a green flow state; When the pipeline flow rate is above 105% of the preset flow rate, it is set to the red flow state; When the pipeline flow is below 95% of the preset flow, it is set to the yellow flow state.

8. A mold waterway intelligent flow control system, characterized in that: The system is used to implement the method according to any one of claims 1 to 7, and the system comprises: Structural design module, used to set up an injection molding machine control structure; The duration learning module is used to set up temperature sensors at the outlet of each pipeline path and record the temperature rise time; A flow monitoring module is used for inlet flow monitoring and outlet flow monitoring; Pipeline switching module, used to extract pipeline paths at different temperatures and set pipelines online; Temperature measurement output module, used to obtain the temperature measurement output of the pipeline in real time and make online pipeline adjustments; The online display module is used to display the temperature in the entire pipeline online.

9. A computer-readable storage medium storing computer program instructions, characterized in that: The computer program instructions implement the method according to any one of claims 1 to 7 when executed by a processor.

10. An electronic device comprising a memory and a processor, characterized in that: The memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method according to any one of claims 1-7.

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