A mold waterway intelligent flow control method and system

Abstract

The present invention relates to the technical field of waterway temperature control, and more specifically, to a method and system for intelligent flow control of a mold waterway. The solution includes setting up an injection molding machine control structure; setting up a temperature sensor at the outlet of each pipeline path to record the temperature rise time; performing inlet flow monitoring and outlet flow monitoring; extracting pipeline paths at different temperatures and performing pipeline settings online; obtaining the pipeline's temperature measurement output in real time and adjusting the pipeline online; and displaying the temperature in the entire pipeline online. The solution achieves precise temperature control of the injection molding machine by setting up a temperature sensor to record the temperature rise time, performing inlet and outlet flow monitoring, extracting pipeline paths at different temperatures and switching them online, obtaining the pipeline's temperature measurement output in real time and comparing it with the preset temperature, and displaying the pipeline temperature status online.

Description

Technical Field

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

[0002] In the field of waterway temperature control, research into intelligent mold waterway flow control technology is crucial. This technology utilizes advanced components such as high-precision microprocessors and stainless steel heat exchangers, combined with PID control, to precisely regulate 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, increasing product precision, and reducing defective products.

[0003] Prior to this invention, existing intelligent flow control methods for mold water circuits primarily relied on simple mechanical water distributors, which provided limited and imprecise flow display and control within each pipe circuit. Technical difficulties and key points included achieving real-time flow and temperature monitoring and automatic adjustment, as well as generating alarms when anomalies occurred. Because traditional methods were unable to meet the demands of high-precision products and intelligent control, a new system was needed that could precisely control mold temperature, improve product quality, and enhance 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] A temperature sensor is installed 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 pipeline temperature measurement output in real time and adjust pipelines 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 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 to calculate and give results in a unified manner;

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

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

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

[0020] The valve body unit receives the instruction from the execution control unit and performs the action;

[0021] The sensor unit provides feedback to the execution unit on whether the execution is in accordance with the instructions.

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

[0023] Record the current moment 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 performing of inlet flow monitoring and outlet flow monitoring specifically includes:

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

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

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

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

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

[0032] Calculate the required pipeline duration using the first calculation formula;

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

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

[0035] Set up a petal-shaped segmented pipeline, the edge of the petal is the 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 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 and 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 red flow state;

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

[0059] According to a second aspect of an embodiment of the present invention, a mold waterway 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] Flow monitoring module, 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 pipeline temperature measurement output in real time and make pipeline adjustments online;

[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, a computer-readable storage medium is provided, on which computer program instructions are stored. When the computer program instructions are executed by a processor, the method according to 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, an electronic device is provided, 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 solutions provided by the embodiments of the present invention may have the following beneficial effects:

[0070] In this solution, temperature sensors are installed at the outlet of each pipeline path to record temperature rise and fall times, enabling real-time temperature monitoring. This high-precision temperature control ensures stable mold temperature during the injection molding process, thereby improving product quality and reducing scrap rates.

[0071] In this solution, the central processing unit (CPU) centrally manages calculations and commands, working in conjunction with the servo drive unit and execution control unit to achieve automated control of the entire system. Online display of pipeline temperature status, flow monitoring, and pipeline switching technologies enable dynamic system adjustments based on 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 in part will become apparent from the description, or will be understood by practicing the present invention. The purposes 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 following briefly introduces the drawings required for use in the description of the embodiments. 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 The present invention is a flowchart of a mold water channel intelligent flow control method according to an embodiment of the present invention.

[0076] Figure 2 The present invention is a flowchart 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 This is a flow chart of a mold waterway intelligent flow control method according to an embodiment of the present invention, in which a temperature sensor is set at the outlet of each pipeline path to record the temperature rise time.

[0078] Figure 4 The present invention is a flowchart of an intelligent flow control method for a mold waterway according to an embodiment of the present invention for monitoring inlet flow and outlet flow.

[0079] Figure 5 This 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 This is a flow chart of a mold water channel intelligent flow control method according to an embodiment of the present invention for obtaining pipeline temperature measurement output in real time and performing pipeline adjustment online.

[0081] Figure 7 This 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 This is a structural diagram of a mold waterway intelligent flow control system according to an embodiment of the present invention.

[0083] Figure 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 may be executed in parallel. The serial numbers of the operations, such as 101, 102, etc., are only used to distinguish between 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., and do not represent the order of precedence, nor do they limit "first" and "second" to be different types.

[0085] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making any creative efforts shall fall within the scope of protection of the present invention.

[0086] In the field of waterway temperature control, research into intelligent mold waterway flow control technology is crucial. This technology utilizes advanced components such as high-precision microprocessors and stainless steel heat exchangers, combined with PID control, to precisely regulate 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, increasing product precision, and reducing defective products.

[0087] Prior to this invention, existing intelligent flow control methods for mold water circuits primarily relied on simple mechanical water distributors, which provided limited and imprecise flow display and control within each pipe circuit. Technical difficulties and key points included achieving real-time flow and temperature monitoring and automatic adjustment, as well as generating alarms when anomalies occurred. Because traditional methods were unable to meet the demands of high-precision products and intelligent control, a new system was needed that could precisely control mold temperature, improve product quality, and enhance production efficiency.

[0088] In one embodiment of the present invention, a method and system for intelligent mold waterway flow control are provided. This solution achieves precise temperature control of the injection molding machine by providing temperature sensors to record temperature rise time, monitoring inlet and outlet flow rates, extracting pipeline paths at different temperatures and switching them online, comparing pipeline temperature output with preset temperatures in real time, and displaying 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 The present invention is a flowchart 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. Install a temperature sensor at the outlet of each pipeline path and record 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 performing pipeline adjustment online;

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

[0098] In the embodiment of the present invention, precise control of 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 The present invention is a flowchart 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, 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 CPU instruction to control the IO output;

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

[0108] S208: The sensor unit feeds back to the execution unit whether the execution is performed 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 (CPU), a servo drive unit, multiple servo motors for driving shaft motion, each motor corresponding to a corresponding 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. The CPU serves as the core of the control system, and the power supply unit, servo drive unit, and execution control unit are connected to it via power cables, IO cables, and communication cables, respectively. The servo motor unit, serving as the servo drive's execution unit, is directly connected to the servo drive; the execution control unit is directly connected to the CPU via 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 CPU is responsible for issuing and receiving feedback commands. Signals are centrally issued by the CPU, and the servo drive unit and execution control unit receive these commands and distribute them to the next-level execution unit. The servo drive unit receives signals from the CPU to control the forward and reverse rotation, acceleration and deceleration, and start and stop of the servo motor unit. The servo motor unit executes signals from the servo drive unit to drive other components. The execution control unit receives signals from the CPU to control the input and output of IO signals. The valve unit receives the signal from the execution control unit to execute the valve opening and closing action. The sensor unit transmits the feedback of the valve body action and the servo position action to the central processing unit, which analyzes whether it is executed according to the instruction.

[0110] Figure 3 This is a flow chart of a mold waterway intelligent flow control method according to an embodiment of the present invention, 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 it takes for the outlet temperature to rise to the maximum required temperature;

[0114] S303. Record the time it takes for the outlet temperature to drop to the minimum required temperature.

[0115] In an embodiment of the present invention, a temperature sensor device is installed 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 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 begins the heating process until the outlet temperature rises to the maximum required temperature. To use a specific example, if the maximum required temperature is set to 180°C, then the time is counted from the reference point until the outlet temperature sensor detects that the temperature has reached 180°C, and this time is recorded. Assuming this process takes 3 minutes, it will be recorded as "June 1, 2024 10:03:00". Then, the system enters the cooling phase. Similarly, when the outlet temperature drops to the minimum required temperature, the time of this moment is recorded again. Assuming the minimum required temperature is set at 80°C, and the process of decreasing from the maximum temperature to 80°C takes 5 minutes, the time will be recorded as "June 1, 2024, 10:08:00 AM." This allows accurate information on the time required to reach the target temperature under different conditions (such as varying flow rates and initial temperatures). This data is crucial for optimizing production processes and improving product quality. For example, if a particular step is found to be taking too long or too short, parameters can be adjusted promptly to improve efficiency or ensure quality. Furthermore, this detailed record facilitates subsequent fault analysis and enhances equipment maintenance.

[0116] Figure 4 The present invention is a flowchart of an intelligent flow control method for a mold waterway according to an embodiment of the present invention for monitoring inlet flow and outlet flow.

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

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

[0119] S402: The pipeline flow rate is collected online through a flow sensor, and the average value of the pipeline inlet and outlet is used as the pipeline flow rate.

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

[0121] Figure 5 This 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, the extracting pipeline paths at different temperatures and performing pipeline settings online specifically include:

[0123] S501. Obtain the time required to heat the temperature from normal temperature to the maximum required temperature at the current flow rate as the heating time;

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

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

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

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

[0128] S506: Setting a segmented pipeline in the shape of a petal, where the edges of the petals are segmented pipelines. A valve is set in the stamen area to determine whether the pipeline passes through the edge of the petals. 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] Wherein, B is the pipeline distance and 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 this embodiment of the present invention, the system calculates the time required to rise from ambient temperature to the maximum required temperature (heating time) and the time required to fall from ambient temperature to the minimum required temperature (cooling time) based on the current flow rate and temperature requirement. For example, assume the current flow rate is 10 liters / minute, the maximum required temperature is 80°C, and the minimum required temperature is 60°C. Experimental data or a pre-set model can determine that the heating time is 5 minutes and the cooling time is 3 minutes. Next, the system uses 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. The system then uses the second calculation formula: B = TX × V, where B is the pipeline distance and V is the pipeline flow rate. In this example, if the pipeline flow rate is 10 liters / minute, B = 5 × 10 = 50 meters. Next, the system uses the third calculation formula: AN = 1.3 × B, where AN is the safety distance. In this example, AN = 1.3 × 50 = 65 meters. The system then sets up segmented pipelines in the shape of petals, with the edges of the petals serving as segmented pipelines. A valve is installed in the pistil area to determine whether the pipeline passes through the edges of the petals. Each petal has a side length of L, with a total of N segments. For example, the length L of each petal segment can be set to 10 meters, for a total of 5 segments. Finally, the system uses the fourth calculation formula M = Z (AN ÷ L), where Z is the rounding function and M is the total number of open petal pipelines. In this example, M = Z (65 ÷ 10) = 7. This means that 7 petal-shaped segmented pipelines need to be opened to meet demand. This method ensures accurate control of the pipeline path 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 This is a flow chart of a mold water channel intelligent flow control method according to an embodiment of the present invention for obtaining pipeline temperature measurement output in real time and performing pipeline adjustment 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 this embodiment of the present invention, the system obtains the pipeline's temperature measurement output in real time, namely the actual temperature value of the current pipeline. For example, suppose that at a certain point in time, the pipeline's temperature measurement output is 75°C. The system then compares this actual temperature value with a preset set temperature. In this example, the preset set temperature may be set to 80°C. Next, the system determines whether the required pipeline duration needs to be updated based on the fifth calculation formula: |G1-G0|>5°C. In this formula, G1 represents the pipeline's temperature measurement output, and G0 represents the preset set temperature. If the absolute value of the difference between the two is greater than 5°C, it means that the actual temperature has deviated significantly from the preset temperature, and 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 remains unchanged. In this way, 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 This 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 rate is within the range of ±5% of the preset flow rate, it is set to a green flow state;

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

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

[0156] In an embodiment of the present invention, the system monitors pipeline flow in real time and adjusts the color display of the pipeline based on flow rate fluctuations. For example, if the preset flow rate is 10 liters / minute, when the pipeline flow rate fluctuates within ±5% of this value (i.e., 9.5 to 10.5 liters / minute), the system will set the flow state to green, indicating normal and stable flow. If the pipeline flow rate exceeds 105% of the preset flow rate, or 10.5 liters / minute, the system will set the flow state to red, alerting the operator to a possible overload or abnormality requiring prompt inspection and action. Conversely, if the pipeline flow rate falls below 95% of the preset flow rate, or 9.5 liters / minute, the system will set the flow state to yellow, indicating that the flow rate is low and that adjustments to the pump speed or other relevant parameters may be necessary to ensure normal production. This design provides an intuitive understanding of the actual temperature within the pipeline, enabling better control of 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 waterway intelligent flow control system is provided.

[0158] Figure 8 This 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 perform pipeline adjustments 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 applicable to 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, a computer-readable storage medium is provided, on which computer program instructions are stored. When the computer program instructions are executed by a processor, the method according to any one of the first aspect of the embodiment of the present invention is implemented.

[0168] According to a fourth aspect of the embodiments of the present invention, an electronic device is provided. Figure 9 It is a structural diagram of an electronic device in one embodiment of the present invention. Figure 9 The electronic device shown is a universal mold waterway intelligent flow control device. Figure 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, ROM 902, and 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] A plurality of 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 solutions provided by the embodiments of the present invention may have the following beneficial effects:

[0171] In this solution, temperature sensors are installed at the outlet of each pipeline path to record temperature rise and fall times, enabling real-time temperature monitoring. This high-precision temperature control ensures stable mold temperature during the injection molding process, thereby improving product quality and reducing scrap rates.

[0172] In this solution, the central processing unit (CPU) centrally manages calculations and commands, working in conjunction with the servo drive unit and execution control unit to achieve automated control of the entire system. Online display of pipeline temperature status, flow monitoring, and pipeline switching technologies enable dynamic system adjustments based on 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. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, 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 magnetic disk storage and optical storage) 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 flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, 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 flowcharts and / or block diagrams. 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 that can direct a computer or other programmable data processing device to work 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 The 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 operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

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

Claims

1. A mold waterway intelligent flow control method, characterized in that: The method includes: Set up an injection molding machine control structure; A temperature sensor is installed 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 pipeline temperature measurement output in real time and adjust pipelines online; Online display of the temperature in the entire pipeline; The extraction of pipeline paths at different temperatures and online pipeline settings specifically include: Obtain the time required to rise from normal temperature to the maximum required temperature at the current flow rate as the heating time; Obtain the time required to rise from normal temperature to the minimum required temperature at the current flow rate as the cooling time; Calculate the required pipeline duration using the first calculation formula; Calculate the pipeline distance using the second calculation formula; Calculate the safety distance using the third calculation formula; Set up a petal-shaped segmented pipeline, the edge of the petal is the 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 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 Wherein, B is the pipeline distance and 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, M is the total number of open petal pipelines; 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.

2. A mold waterway intelligent flow control method according to 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 of the central processing unit and the back-end execution unit; The central processing unit is used to issue and receive feedback instructions, and to calculate and give results in a unified manner; The servo drive unit controls the servo motor unit to perform the operation; The servo motor unit operates to realize the operation of the machine; The execution control unit transmits the CPU instructions to control IO output; The valve body unit receives the instruction from the execution control unit and performs the action; The sensor unit provides feedback to the execution unit on whether the execution is in accordance with the instructions.

3. The mold waterway intelligent flow control method according to 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 moment 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. The mold waterway intelligent flow control method according to claim 1, characterized in that: The inlet flow monitoring and outlet flow monitoring specifically include: Flow sensors are separately installed at the inlet and outlet of the pipeline; The pipeline flow rate is collected online through a flow sensor, and the average value of the pipeline inlet and outlet is used as the pipeline flow rate.

5. The mold waterway intelligent flow control method according to 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 red flow state; When the pipeline flow is below 95% of the preset flow, it is set to yellow flow state.

6. 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 5, 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; Flow monitoring module, used for inlet flow monitoring and outlet flow monitoring; Pipeline switching module, used to extract pipeline paths at different temperatures and perform pipeline settings online; Temperature measurement output module, used to obtain pipeline temperature measurement output in real time and make pipeline adjustments online; The online display module is used to display the temperature in the entire pipeline online.

7. 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 5 when executed by a processor.

8. An electronic device comprising a memory and a processor, characterized in that: The memory is configured 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 to 5.

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