Intelligent mold terminal and injection molding system

Abstract

The utility model discloses an intelligent mold terminal and an injection molding system. The intelligent mold terminal is provided with an operation device with edge calculation capability and an onboard display input device. The injection molding system comprises the mold intelligent terminal and further comprises a mold and an injection molding machine, and the mold intelligent terminal is electrically connected with the pressure sensor installed in the mold and is in communication connection with the injection molding machine. The mold intelligent terminal adopts an airborne display input device, is stable in communication, configures resources as required, and can realize closed-loop control of injection molding process optimization. The injection molding system can accurately sort products and can realize closed-loop control and production of injection molding process optimization.

Description

TECHNICAL FIELD

[0001] The utility model belongs to injection equipment field, specifically, relate to a mould intelligence terminal and injection system. BACKGROUND

[0002] The existing mould intelligent monitoring system product mostly is the external display or the split type tablet display control, and the use convenience is poorer, and the communication stability and timeliness are poor, and the configuration resource waste is bigger, and the existing mould intelligent monitoring system product cannot form the closed loop of injection molding process optimization.

[0003] Therefore, the utility model is provided. UTILITY MODEL CONTENT

[0004] The utility model solves the technical problem of overcoming the prior art, and provides a mould intelligence terminal, which adopts an on-board display input device, has stable communication, on-demand configuration resources, and can realize closed loop control of injection molding process optimization.

[0005] The second purpose of the utility model is to provide an injection system, which can accurately sort products and realize closed loop control and production of injection molding process optimization.

[0006] To solve the above technical problems, the basic idea of the technical scheme of the utility model is as follows:

[0007] The mould intelligence terminal is provided with an operation device with edge computing capability, and an on-board display input device.

[0008] Further, the mould intelligence terminal is provided with a communication network port.

[0009] Further, the mould intelligence terminal is further provided with an analog-digital conversion chip.

[0010] The utility model also provides an injection system, which comprises the above-mentioned mould intelligence terminal, and further comprises a mould and an injection molding machine.

[0011] Further, the injection system further comprises a production line mechanical arm, and the mould intelligence terminal is in communication connection with the production line mechanical arm.

[0012] Further, the injection system further comprises a server, and the server is in communication connection with the mould intelligence terminal.

[0013] Further, the mould intelligence terminal and the injection molding machine are in communication connection through a local area network.

[0014] Further, the injection system further comprises a junction box, and the junction box is fixed on the mould, and the pressure sensor is connected to the junction box.

[0015] Further, the mold intelligent terminal comprises an analog-digital conversion chip, and the analog-digital conversion chip is connected with the junction box through a signal line.

[0016] Further, the junction box has a unique identifier, and the mold intelligent terminal adapts to sensor parameters configured by a server according to a connection condition of the junction box.

[0017] After the above technical scheme is adopted, the mold intelligent terminal has the following beneficial effects compared with the prior art.

[0018] The mold intelligent terminal and the injection molding system, wherein the mold intelligent terminal is provided with an operation device with edge computing capability, and is provided with an on-board display input device. The injection molding system comprises the mold intelligent terminal, and further comprises a mold and an injection molding machine. The mold intelligent terminal is electrically connected with a pressure sensor installed in the mold and is in communication connection with the injection molding machine. The mold intelligent terminal adopts the on-board display input device, is stable in communication, configures resources on demand, and can realize closed-loop control of injection molding process optimization. The injection molding system can accurately sort products and realize closed-loop control and production of injection molding process optimization. BRIEF DESCRIPTION OF DRAWINGS

[0019] The specific embodiments of the mold intelligent terminal will be further described in detail below with reference to the accompanying drawings.

[0020] The accompanying drawings are part of the present application and serve to provide a further understanding of the present application. The schematic embodiments of the present application and their descriptions serve to explain the present application but do not constitute an improper limitation on the present application. Obviously, the accompanying drawings described below are only some embodiments, and other drawings can be obtained by those skilled in the art without creative labor.

[0021] Figure 1 is a connection schematic diagram of the injection molding system of the present application.

[0022] It should be noted that these drawings and textual descriptions are not intended to limit the scope of the concept of the present application in any way. DETAILED DESCRIPTION

[0023] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments will be described clearly and completely below with reference to the accompanying drawings of the embodiments of the present application.

[0024] In the description of the utility model, it needs to explain, the term "upper", "lower", "front", "back", "left", "right", "vertical", "internal", "external" and so on indicate the orientation or position relation based on the orientation or position relation shown in the drawing, only for the convenience of describing the utility model and simplifying the description, and not indicate or imply that the indicated device or element must have a particular orientation, a particular orientation and operation, therefore, it cannot be understood as a limitation on the utility model.

[0025] In the description of the utility model, it needs to explain, unless another explicit provision and limitation, the term "installation", "connection", "connect" should be broad sense understanding, for example, can be fixed connection, can be detachable connection, or integrally connected;Can be mechanical connection, can be electrical connection;Can be directly connected, can be indirectly connected through the intermediate medium。For ordinary skilled in the art, the above-mentioned terms can be understood according to the specific meaning of the utility model.

[0026] The utility model discloses a mould intelligent terminal, be provided with the operation device with edge computing ability, be provided with airborne display input device.

[0027] The mould intelligent terminal is provided with airborne display input device, in this embodiment, the mould intelligent terminal is fixedly installed with an industrial liquid crystal display screen, touch operation, suitable for extreme environment, stable operation, long service life. For the display of real-time curve;Query, comparison of historical curve;Parameter display and modification. Its operation menu includes: real-time display: display real-time pressure curve, characteristic point analysis result display, qualified mark;Parameter setting: for configuring acquisition parameter, monitoring strategy, output signal;Data management: can query historical curve, compare multiple curves, view trend chart, data export;Process optimization: first process calculation, optimization start button, display process parameter, display optimization suggestion, process writing button;Equipment management: equipment information display, equipment upgrade button etc. Its operation interface is written using Qt.

[0028] Airborne display input device transmission stability, timeliness is good, convenient to use, according to the configuration of need and assemble, can save configuration and avoid waste.

[0029] The mould intelligent terminal has edge computing ability, can analyze the data collected, such as different curve comparison, curve characteristic point analysis, can carry out injection molding process optimization according to the collected data;Pressure data can be monitored according to the configured monitoring strategy.

[0030] The mold intelligent terminal has a built-in process optimization algorithm program. It can adjust the current injection molding process based on the real-time cavity pressure curve data collected during the current injection molding process and compare it with the standard cavity pressure curve. The adjusted injection molding process parameters are output to the screen of the on-board display input device and highlighted. After the operator confirms the execution of the new injection molding process, the mold intelligent terminal automatically inputs the new injection molding process parameters into the injection molding machine. The injection molding machine performs injection again, and the real-time cavity pressure curve data collected again is compared with the standard cavity pressure curve to determine whether optimization is needed, until the real-time cavity pressure curve matches the standard cavity pressure curve or the difference between the two is within the preset range.

[0031] The mold intelligent terminal has local data storage, which can store no less than one week's worth of data locally, and supports USB data export.

[0032] This utility model also proposes an injection molding system, such as Figure 1 As shown, the device includes the aforementioned intelligent mold terminal, as well as a mold and an injection molding machine. The intelligent mold terminal is connected to a pressure sensor installed in the mold and communicates with the injection molding machine.

[0033] The injection molding system also includes a production line robotic arm. The mold intelligent terminal communicates with and controls the production line robotic arm. The production line robotic arm is installed next to the mold. When the mold intelligent terminal monitors an abnormality in the real-time cavity pressure curve, it controls the production line robotic arm to sort the unqualified injection molded products to a designated area for manual quality inspection.

[0034] In this embodiment, the injection molding system also includes a server that communicates with the mold intelligent terminal. The mold intelligent terminal has a network port for communication, connects to the factory's local area network, and is on the same local area network as the backend server and the injection molding machine. It is used to transmit data to the backend, query historical data from the backend, and interact with the injection molding machine.

[0035] The mold intelligent terminal communicates with the injection molding machine via a local area network using the OPC protocol. The injection molding machine also supports the OPC communication protocol. The background server runs an OPC Server, which is connected to the injection molding machine. The mold intelligent terminal acts as an OPC Client, obtaining the injection molding process parameters from the OPC server.

[0036] The intelligent mold terminal can collect and modify the injection molding process parameters of the injection molding machine without the need for an external network. It can be connected and operated on-site, and the calculation is fast. Furthermore, each intelligent mold terminal performs edge computing, which distributes resources and reduces the pressure on the server.

[0037] The mold intelligent terminal has local data storage. In addition to uploading data to the backend server, it can store no less than one week's worth of data locally and supports USB data export.

[0038] Or, in other embodiments, the server can not be set up, and the required server functions can be moved to the mold intelligent terminal.

[0039] The mold intelligent terminal is placed adjacent to the injection molding machine in the same work site and communicates through a local area network.

[0040] The mold intelligent terminal is set up in a position next to the injection molding machine that is easy to view and operate, and provides a matching work base or connecting frame to facilitate floor use or fixed use on the injection molding machine.

[0041] The mold intelligent terminal has signal input detection, and some electrical signals of the injection molding machine can be connected to the mold intelligent terminal. The mold intelligent terminal can act according to these signals, such as a mold closing signal, which can be used as a data starting signal for the mold intelligent terminal to collect.

[0042] According to mold flow analysis and the characteristics of the mold, the installation position of the sensor is determined, and a pressure sensor is added. The pressure sensor is connected to a junction box, and the junction box is fixed on the mold. The junction box is a switching function, connected to the analog-to-digital conversion chip of the mold intelligent terminal through a cable. The mold intelligent terminal converts the electrical signal of the pressure sensor into a digital signal through the analog-to-digital conversion chip. The junction box has a unique identification, and the mold intelligent terminal can adapt to the pressure sensor parameters configured by the background server according to the connection with the junction box.

[0043] The mold intelligent terminal communicates with the background server through MQTT. The mold intelligent terminal uploads the collected data to the server for storage, and the results of edge computing of the mold intelligent terminal are also uploaded to the server. The server side displays the data through web, and also manages the mold information, such as the sensor signal installed on the mold, the installation position, the sensor parameters, etc. The mold intelligent terminal pulls all the parameter information corresponding to the mold from the server.

[0044] The mold intelligent terminal can perform edge computing: when collecting data, the mold intelligent terminal will calculate the characteristic values of the cavity pressure curve in real time according to the needs, such as the time point when the pressure starts to rise, the peak value of the pressure, and the peak time, etc.

[0045] When the mold intelligent terminal collects data, it will monitor the cavity pressure curve data according to the configured monitoring strategy, and generate an alarm information when the data value exceeds the range. The mold intelligent terminal supports the following monitoring strategies: area monitoring - the pressure cannot exceed the specified range within the specified time interval; peak value monitoring - the peak value of the cavity pressure curve cannot exceed the specified range; peak time - the time when the peak value of the cavity pressure curve reaches cannot exceed the specified range; peak integral monitoring - the peak integral of the cavity pressure curve cannot exceed the specified range; curve integral monitoring - the total integral of the cavity pressure curve cannot exceed the specified range; curve range monitoring - specify two complete cavity pressure curves, and the real-time cavity pressure curve must be within the specified cavity pressure curve interval, etc.

[0046] The mold intelligent terminal can analyze the abnormal situation of the production line: the mold intelligent terminal can analyze the abnormal situation of the production line through the feature point set of historical data within a specified time range. For example, if the cycle of the cavity pressure curve changes, the occasional situation may be caused by equipment abnormalities, which needs to be detected. If the cycle of the cavity pressure curve changes and reaches a new stable state, it may be that the process parameters have been adjusted. For example, if the interval time of the cavity pressure curve changes, it means that there is a shutdown situation, which needs to be investigated.

[0047] The mold intelligent terminal can perform first test process calculation: by inputting the mold intelligent terminal model, injection molding material, mold type, product wall thickness, and other key information through the on-board display input device screen, the mold intelligent terminal can calculate the first test process parameters. Based on the first test process parameters, combined with the process optimization function, the mold intelligent terminal can quickly complete the mold test.

[0048] Process optimization of the mold intelligent terminal: the mold intelligent terminal has a built-in process optimization expert system algorithm. According to the real-time cavity pressure curve data collected by the current injection molding process, it compares with the expected standard cavity pressure curve, and adjusts the injection molding process parameters based on the expert system algorithm. The adjusted injection molding process parameters are displayed on the screen of the on-board display input device, and the operator confirms and executes the new injection molding process parameters. The real-time cavity pressure curve collected after the execution is compared with the standard cavity pressure curve again to determine whether further optimization is needed. The process is repeated until the real-time cavity pressure curve and the standard cavity pressure curve meet the expected requirements.

[0049] The mold intelligent terminal can perform historical record and trend statistics: the mold intelligent terminal uploads the results of edge computing to the server for storage. Through the time tag, the mold intelligent terminal can obtain the historical curve record from the server.

[0050] If a time label range is selected, the feature point set of all cavity pressure curve records in the range can be retrieved from the server to form a feature trend graph, such as a peak value trend graph, a production cycle trend graph, an interval trend graph, etc. Combined with the data of the feature points, the production line stability, whether there is a shutdown, whether there is a process adjustment, etc. can be analyzed.

[0051] The injection molding system is used to perform an injection molding production control method, including the following steps:

[0052] S0, input the injection molding machine model, injection molding material, mold type, and product wall thickness key information through the on-board display input device screen of the mold intelligent terminal. The mold intelligent terminal performs a first trial process calculation to calculate the first trial injection molding process parameters. The on-board display input device displays the parameters, which are automatically input to the injection molding machine after being confirmed by the operator, and the injection molding machine performs injection molding.

[0053] S1, the mold intelligent terminal collects real-time injection molding data to form a real-time cavity pressure curve, and collects the injection molding process parameters of the injection molding machine.

[0054] S2, the mold intelligent terminal compares the real-time cavity pressure curve with the standard cavity pressure curve, calculates the difference between the two, and makes a judgment:

[0055] If the difference is within the preset range, the current injection molding process parameters are used to continue injection molding.

[0056] If the difference is not within the preset range, step S3 is performed.

[0057] S3, the mold intelligent terminal automatically adjusts the injection molding process parameters based on the difference and the corresponding injection molding process parameters of the real-time cavity pressure curve, and displays the adjusted parameters through the on-board display input device. The parameters are automatically input to the injection molding machine after being confirmed by the operator, and the injection molding machine performs injection molding again.

[0058] S4, repeat steps S1-S3 until the difference between the real-time cavity pressure curve and the standard cavity pressure curve is within the preset range, forming a closed-loop control.

[0059] In S0, the injection molding machine model, injection molding material, mold type, product wall thickness, and other key information are input through the on-board display input device screen of the mold intelligent terminal. The mold intelligent terminal can perform a first trial process calculation to calculate the first trial injection molding process parameters. Based on the first trial injection molding process parameters, the injection molding machine performs injection molding. Based on the first trial injection molding process parameters and the process optimization function of the mold intelligent terminal, the mold trial can be quickly completed.

[0060] The process optimization of the mold intelligent terminal is performed by the following method: the mold intelligent terminal is provided with a process optimization expert system algorithm, real-time cavity pressure curve data collected according to the current injection molding process is compared with the expected standard cavity pressure curve, the injection molding process parameters are adjusted by combining the expert system algorithm, and the injection molding process parameters are displayed on the screen of the on-board display input device, the adjusted injection molding process parameters are highlighted, and the real-time cavity pressure curve collected after the new injection molding process parameters are executed is compared with the standard cavity pressure curve again to determine whether the process needs to be optimized again until the real-time cavity pressure curve and the standard cavity pressure curve reach the expected degree of coincidence.

[0061] In step S1, the real-time injection data is collected, including the data collected in the mold, and the process parameters of the injection molding machine, and the process parameters of the injection molding machine are corresponded with the real-time cavity pressure curve data.

[0062] Since the injection product is formed by injecting material into the mold through the injection molding machine, and the injection molding machine executes the injection under the set injection molding process parameters, the current real-time cavity pressure curve data formed by the injection into the mold corresponds to the current process parameters of the injection molding machine. In order to correctly and accurately adjust the injection molding process parameters, the real-time injection data needs to be collected, including the data collected in the mold, and the process parameters of the injection molding machine, and the process parameters of the injection molding machine are corresponded with the real-time cavity pressure curve data.

[0063] In step S2, the mold intelligent terminal needs to compare the real-time cavity pressure curve with the standard cavity pressure curve, so the standard cavity pressure curve needs to be obtained first. The standard cavity pressure curve is determined before the mold is shipped, and can be pre-stored in the mold intelligent terminal.

[0064] The standard cavity pressure curve in step S2 is determined through multiple injection tests before the mold is shipped, the cavity pressure curve of each test is recorded, and the quality of the product is evaluated. When the product quality is qualified, the corresponding cavity pressure curve is determined as the standard curve, which is bound with the mold code as the basis for subsequent quality judgment of the mold.

[0065] In step S2, the method of comparing feature points is adopted, and the difference between the real-time cavity pressure curve and the standard cavity pressure curve is quantitatively represented by comparing the values of the feature points.

[0066] The feature points include the time when the sensor in the mold contacts the melt, the mold filling time, the peak pressure, the peak time, the cavity pressure curve descending speed, and the time when the slope of the latter half of the cavity pressure curve changes obviously.

[0067] When the method of comparing feature points is adopted, at least one feature point is compared.

[0068] In this embodiment, the scheme of comparing one feature point is adopted.

[0069] The mold intelligent terminal forms a real-time cavity pressure curve by collecting real-time injection pressure data sensed by the pressure sensor in the mold during each injection, and compares the real-time cavity pressure curve with a standard cavity pressure curve, so as to determine whether the difference between the two curves is within a preset range.

[0070] If the difference is not within the preset range, it indicates that the injection product formed by this injection is unqualified, and the injection process parameters need to be adjusted and the injection is performed using the adjusted injection process parameters, until the comparison difference between the real-time cavity pressure curve after adjusting the injection process parameters and the standard cavity pressure curve is within the preset range, and the injection machine continues to produce under the injection process parameters corresponding to the current real-time cavity pressure curve.

[0071] If the difference is within the preset range, it indicates that the injection product formed by this injection is qualified, and the current injection process parameters are reasonable, so the production can continue under the current injection process parameters.

[0072] The difference within the preset range means that the real-time cavity pressure curve and the standard cavity pressure curve do not match but the difference is small, which is acceptable, so it is still considered that the injection product is qualified; or the difference within the preset range means that the real-time cavity pressure curve and the standard cavity pressure curve match, and the difference is zero.

[0073] Adjusting the injection process parameters is performed by the mold intelligent terminal according to the difference between the current real-time cavity pressure curve and the standard cavity pressure curve and the injection process parameters corresponding to the current real-time cavity pressure curve, and the mold intelligent terminal automatically adjusts the injection process parameters and displays them through the on-board display input device, and then automatically inputs them to the injection machine after the operator confirms.

[0074] From forming the real-time cavity pressure curve from the collected real-time injection data, to comparing the real-time cavity pressure curve with the standard cavity pressure curve, judging whether the injection process parameters need to be adjusted and how to adjust the injection process parameters according to the comparison result, and inputting the adjusted injection process parameters to the injection machine, and then collecting real-time injection data to form a new real-time cavity pressure curve when the injection machine uses the adjusted injection process parameters, a new round of steps can realize closed-loop control, complete the execution, adjustment and continuous production after meeting the needs of the injection work, realize automatic parameter adjustment, and standardize the process.

[0075] In step S3, the mold intelligent terminal automatically adjusts the injection process parameters. By quantitatively representing the curve difference, the mold intelligent terminal automatically analyzes the injection process parameters that need to be adjusted, adjusts the process appropriately in combination with the injection process parameters corresponding to the current real-time cavity pressure curve, and generates a new set of injection process parameters.

[0076] When the injection molding process parameters are adjusted by comparing the numerical values of the feature points, the strategy is as follows:

[0077] 1. The time for the sensor in the mold to contact the melt. When injecting, the material is injected from the injection barrel to the mold. The faster the injection speed, the smaller the time for the sensor in the mold to contact the melt. The relationship is approximately linear, and the formula is: Where t0 is the time from mold closing to start of injection, v is the injection speed, and x is the change in the position of the material in the injection barrel. Since the shape of the injection barrel is fixed, the injection time can be determined by the ratio of the change in the position of the material in the injection barrel to the injection speed, and thus the time from mold closing to the sensor in the mold contacting the melt can be determined. The comparison of the feature points of the time for the sensor in the mold to contact the melt can determine whether the injection speed needs to be adjusted.

[0078] 2. The mold filling time refers to the time for the melt to fill the mold cavity. The faster the injection speed, the smaller the mold filling time. After the melt enters the mold cavity, the pressure begins to rise, and after the mold cavity is filled, the pressure rises rapidly, resulting in a large slope of the cavity pressure curve. The change in the slope of the cavity pressure curve after the melt contacts the pressure sensor can determine the mold filling time. The comparison of the feature points of the mold filling time can determine whether the injection speed needs to be adjusted.

[0079] 3. After the mold cavity is filled, the melt material continues to enter the mold cavity, the pressure rises rapidly, reaches a maximum value (peak value), and then transitions to pressure holding, i.e., from injection to pressure holding. The peak value is related to the injection pressure, and the greater the injection pressure, the greater the peak value. The comparison of the feature points of the peak pressure can determine whether the injection pressure needs to be adjusted.

[0080] 4. The peak time is related to the injection speed. The greater the injection pressure, the greater the peak value, but the peak time may not be fast or slow, which depends on the injection speed. The faster the injection speed, the smaller the peak time. The comparison of the feature points of the peak time can determine whether the injection speed needs to be adjusted.

[0081] 5. If the transition to pressure holding is based on time, i.e., the execution of pressure holding is set based on a certain time after the start of injection, for example, 5 minutes after the start of injection, the injection speed may also affect the peak value. For example, if the injection speed is very slow, the melt material has not fully entered the mold cavity before the transition to pressure holding, and the peak pressure may be smaller than expected because the transition to pressure holding occurs before the peak value is reached. In the case of setting the transition to pressure holding based on a certain time, the comparison of the feature points of the peak pressure can determine whether the injection speed needs to be adjusted.

[0082] 6. The holding pressure is generally lower than the injection pressure. After switching to holding pressure, the cavity pressure curve begins to decline. If the curve declines rapidly, forming a peak, it's because the holding time is too short, the gate hasn't sealed properly, and material backflow may occur. By comparing the characteristic points of the decline rate of the cavity pressure curve after holding pressure, it can be determined whether the holding time or holding speed needs to be adjusted.

[0083] 7. The rate of descent of the cavity pressure curve after holding pressure normally depends on the product cooling rate, which is related to the mold temperature. By comparing the characteristic points of the rate of descent of the cavity pressure curve after holding pressure, it can be determined whether the mold temperature needs to be adjusted.

[0084] 8. In the latter half of the cavity pressure curve, the moment when the slope changes significantly indicates gate sealing, and ending the holding pressure at this point is the most appropriate. By comparing the characteristic points of the moment when the slope of the latter half of the cavity pressure curve changes significantly, it can be determined whether the holding pressure end time needs to be adjusted.

[0085] The mold intelligent terminal can analyze abnormal situations on the production line by analyzing the set of feature points of historical data within a self-defined time range. For example, if the period of the cavity pressure curve changes, it may be due to equipment malfunction in an occasional case, requiring equipment inspection. If the cavity pressure curve reaches a new stable state after the period changes, it may be due to the adjustment of process parameters. Another example is that if the interval time of the cavity pressure curve changes, it indicates that a downtime has occurred, which needs to be investigated.

[0086] This utility model relates to a mold intelligent terminal and injection molding system. The mold intelligent terminal is equipped with a computing device with edge computing capabilities and an onboard display input device. The injection molding system includes the aforementioned mold intelligent terminal, as well as a mold and an injection molding machine. The mold intelligent terminal is electrically connected to a pressure sensor installed in the mold and communicatively connected to the injection molding machine. The mold intelligent terminal uses an onboard display input device, ensuring stable communication, on-demand resource allocation, and closed-loop control for injection molding process optimization. The injection molding system can accurately sort products and achieve closed-loop control and production for injection molding process optimization. During injection molding, quantifiable curves replace manual judgment of product quality, making it more scientific and accurate. The mold intelligent terminal automatically calculates the difference between the actual curve and the standard curve, and then adjusts parameters through a specific parameter tuning algorithm model, replacing existing manual parameter tuning. Through automated closed-loop control, manual intervention is reduced and parameter adjustment efficiency is improved; based on real-time feedback of the cavity pressure curve, precise process parameter adjustment is achieved, improving accuracy; the influence of human factors is reduced, product quality consistency is improved, and errors are reduced; the mold intelligent terminal can realize closed-loop optimization of injection molding process according to the mold cavity pressure curve, and the built-in program of the mold intelligent terminal can realize process optimization, forming a systematic closed-loop control mechanism, which facilitates process optimization and management, and enables systematic management.

[0087] The above merely describes preferred embodiments of the present application and is not intended to limit the present application in any form. Although the present application has been disclosed with preferred embodiments, it is not intended to limit the present application. Any skilled person in the art can make some changes or modifications to the above-mentioned technical content without departing from the technical solution of the present application, and equivalent embodiments with equivalent changes can be obtained. The implementation solutions in the above embodiments can be further combined or replaced. Any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present application still belong to the scope of the present application.

Claims

1. A mold intelligent terminal, characterized in that: It is equipped with a computing device with edge computing capabilities and an onboard display input device.

2. The intelligent terminal for molds according to claim 1, characterized in that: It is equipped with a communication network port.

3. The intelligent terminal for molds according to claim 2, characterized in that: It also has an analog-to-digital converter chip.

4. An injection molding system, characterized in that: The mold intelligent terminal includes the mold and an injection molding machine as described in any one of claims 1-3. The mold intelligent terminal is electrically connected to a pressure sensor installed in the mold and is communicatively connected to the injection molding machine.

5. The injection molding system according to claim 4, characterized in that: It also includes production line robotic arms, and the intelligent terminal for molds communicates with the production line robotic arms.

6. The injection molding system according to claim 5, characterized in that: It also includes a server, which communicates with the intelligent terminal of the mold.

7. The injection molding system according to claim 6, characterized in that: The intelligent terminal for molds is connected to the injection molding machine via a local area network.

8. The injection molding system according to claim 7, characterized in that: It also includes a junction box, which is fixed on the mold, and the pressure sensor is connected to the junction box.

9. The injection molding system according to claim 8, characterized in that: The intelligent terminal for molds includes an analog-to-digital converter chip, which is connected to the junction box via a signal cable.

10. The injection molding system according to claim 9, characterized in that: Each junction box has a unique identifier, and the intelligent terminal of the mold adapts the sensor parameters configured on the server according to the connection with the junction box.

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