Mold cavity monitoring method, equipment and system

Abstract

The invention relates to the technical field of injection molding or die-casting production die detection, and particularly discloses a die cavity monitoring method, equipment and system. According to the invention, more accurate monitoring data is obtained by obtaining the pressure charge signal and the temperature voltage signal in the die cavity, so that rapid and accurate adjustment can be made, the flexibility and adaptability in the production process are improved, and decision scientificity is provided for adjustment of production equipment.

Description

Technical Field

[0001] The invention relates to the technical field of injection molding or die-casting production mold detection, and in particular to a mold cavity monitoring method, equipment and system. Background Art

[0002] Injection molding and die casting are two key technologies used in the manufacturing industry to produce complex parts. They are mainly formed by injecting materials (plastic or metal) into precision molds under high pressure and high temperature. During the production process, traditional means of monitoring the mold cavity may be affected by factors such as the performance of the production equipment and the raw materials, resulting in deviations in the actual measured values. At the same time, due to the large variation in melt temperature across the entire cross-section, it is very easy to cause inaccurate temperatures. Due to the inaccuracy of the monitoring data, the back-end information processing is distorted and cannot dynamically adapt to its changes, which has certain limitations. Summary of the invention

[0003] In order to overcome the problems of inaccurate monitoring data acquisition in existing mold cavity monitoring and certain limitations in solving the dynamic changes of the production process, the present invention provides a mold cavity monitoring method, device and system.

[0004] In order to achieve the above-mentioned object of the invention, the present invention provides the following technical solutions:

[0005] In a first aspect, the present invention provides a mold cavity monitoring method, the method comprising:

[0006] Receiving a pressure charge signal in the mold cavity acquired by a mold cavity pressure sensor, and converting the pressure charge signal into a pressure value;

[0007] Receiving a temperature voltage signal in the mold cavity obtained by a mold cavity temperature sensor, and converting the temperature voltage signal into a temperature value;

[0008] Determining whether to generate a first adjustment instruction according to changes in the pressure value and the temperature value;

[0009] Transmitting the pressure value, temperature value, change and the generated first adjustment instruction to the cloud, so that the cloud obtains the second adjustment instruction through an optimization algorithm according to the received data;

[0010] receiving a second adjustment instruction from the cloud and a third adjustment instruction from the terminal device;

[0011] controlling the production equipment according to the first adjustment instruction, the second adjustment instruction, and the third adjustment instruction;

[0012] Among them, the first adjustment instruction is used to adjust the preset parameters of the production equipment; the second adjustment instruction is used to correct the first adjustment instruction and readjust the preset parameters; and the third adjustment instruction is used to control the operation of the production equipment.

[0013] According to a specific implementation, in the above monitoring method, judging whether to generate a first adjustment instruction according to changes in the pressure value and the temperature value includes:

[0014] Calculating a pressure difference between the pressure value and a preset pressure safety value, and generating a pressure difference sequence according to the calculated multiple pressure difference values;

[0015] Calculating a temperature difference between the temperature value and a preset temperature safety value, and generating a temperature difference sequence according to the calculated multiple temperature difference values;

[0016] Determine whether N consecutive pressure difference values ​​or temperature difference values ​​in the pressure difference value sequence or the temperature difference value sequence are greater than a predetermined threshold value, where N is a positive integer greater than or equal to 2;

[0017] When N consecutive pressure difference values ​​or temperature difference values ​​in the pressure difference value sequence or the temperature difference value sequence are greater than a predetermined threshold, a first adjustment instruction is generated.

[0018] According to a specific implementation, in the above monitoring method, the first adjustment instruction is used to adjust the feed inlet temperature parameters and feed inlet pressure parameters of the production equipment.

[0019] According to a specific implementation, in the above monitoring method, judging whether to generate a first adjustment instruction according to changes in the pressure value and the temperature value includes:

[0020] Calculating a pressure difference between the pressure value and a good product pressure value, and calculating a temperature difference between the temperature value and a good product temperature value;

[0021] It is determined whether the pressure difference or the temperature difference exceeds the corresponding preset threshold value, and when the difference between the pressure value and the temperature value and the preset pressure threshold value and the preset temperature threshold value respectively reaches the preset threshold value, a first adjustment instruction is generated.

[0022] According to a specific implementation, in the above monitoring method, the first adjustment instruction is used to adjust the accuracy of the production equipment in screening good and defective products.

[0023] In a second aspect, the present invention provides a mold cavity monitoring device, including a mold cavity pressure sensor and a mold cavity temperature sensor, characterized in that the device also includes:

[0024] a signal conversion module, configured to receive a pressure charge signal in the mold cavity obtained by the mold cavity pressure sensor, and convert the pressure charge signal into a pressure value, and to receive a temperature voltage signal in the mold cavity obtained by the mold cavity temperature sensor, and convert the temperature voltage signal into a temperature value;

[0025] a signal processing module, used to determine whether to generate a first adjustment instruction according to the changes of the pressure value and the temperature value; a data transmission module, used to transmit the pressure value, the temperature value, the changes and the generated first adjustment instruction to the cloud, so that the cloud obtains the second adjustment instruction through the optimization algorithm according to the received data; and receiving the second adjustment instruction from the cloud and the third adjustment instruction from the terminal device;

[0026] An input-output module, used for controlling the production equipment according to the first adjustment instruction, the second adjustment instruction and the third adjustment instruction;

[0027] Among them, the first adjustment instruction is used to adjust the preset parameters of the production equipment; the second adjustment instruction is used to correct the first adjustment instruction and readjust the preset parameters; and the third adjustment instruction is used to control the operation of the production equipment.

[0028] According to a specific implementation, in the above monitoring device, the signal conversion module includes:

[0029] A pressure conversion module, used for converting the pressure charge signal into a detectable pressure voltage signal;

[0030] A temperature conversion module, used for converting the temperature voltage signal into a detectable temperature voltage signal;

[0031] The AD conversion module is used to convert the pressure voltage signal into a digital signal to obtain a pressure value, and to convert the temperature voltage signal into a digital signal to obtain a temperature value.

[0032] According to a specific embodiment, in the above-mentioned monitoring device, the device also includes a control input module, and the control input module is used to receive a start or shutdown signal to control the operation of the mold cavity monitoring device, and to receive preset parameters to control the operation of the production equipment.

[0033] In a third aspect, the present invention provides a mold cavity monitoring system, including a cloud, a terminal device, a production device, and a mold cavity monitoring device, wherein the mold cavity monitoring device adopts the device as described in any one of the above items, or is used to implement the method as described in any one of the above items;

[0034] Among them, the cloud is also used to store the received data and generate monitoring reports through statistical analysis, and transmit the stored data and monitoring reports to the terminal device; the terminal device is also used to display the received cloud-stored data and the monitoring reports, and generate a third adjustment instruction through manual input.

[0035] In a fourth aspect, the present invention also provides an electronic device, comprising at least one processor and a memory communicatively connected to the at least one processor; the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method as described in any one of claims 1 to 5.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] Based on the technical solution provided by the present invention, by acquiring the pressure charge signal and temperature voltage signal in the mold cavity, more accurate monitoring data can be obtained, and then fast and accurate adjustments can be made, which improves the flexibility and adaptability of the production process and provides scientific decision-making for the adjustment of production equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 A schematic structural diagram of a mold cavity monitoring system provided by an embodiment of the present invention;

[0039] Figure 2 A schematic flow chart of a mold cavity monitoring method provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0040] The present invention is further described in detail below in conjunction with test examples and specific implementation methods. However, this should not be understood as the scope of the above subject matter of the present invention being limited to the following embodiments, and all technologies realized based on the content of the present invention belong to the scope of the present invention.

[0041] The terms "first", "second", etc. in the embodiments of the specification, claims, and drawings of the present invention are used only for the purpose of distinguishing descriptions, and cannot be understood as indicating or implying relative importance, nor can they be understood as indicating or implying an order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, including a series of steps or units. The method, system, product, or device is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products, or devices.

[0042] Please refer to Figure 1, which shows a structural schematic diagram of a mold cavity monitoring system provided by an embodiment of the present invention, wherein the system includes a cloud, a terminal device, a production device and a mold cavity monitoring device.

[0043] Wherein, the mold cavity monitoring equipment includes a mold cavity pressure sensor and a mold cavity temperature sensor,

[0044] In a possible implementation, the mold cavity pressure sensor adopts a quartz pressure sensor, which is used to collect the pressure in the mold cavity to obtain a pressure charge signal. The sensor includes a sensor housing, a sensor core is arranged in the sensor housing, and the sensor core includes a quartz sensitive unit, the quartz sensitive unit includes at least three quartz plates, two adjacent quartz plates are arranged at equal intervals, and the quartz plates are installed along the axis direction of the sensor housing. A sensing surface is provided at one end of the sensor housing, and a high-hardness structural layer is provided on the sensing surface, so that the working area of ​​the sensitive unit can be increased, and the thickness of the sensitive unit is increased, thereby ensuring that the sensitive unit has strong resistance to lateral shear force, thereby effectively improving the response frequency of the sensor, so that it can more quickly respond to changes in the pressure inside the mold cavity.

[0045] The mold cavity temperature sensor is used to collect temperature voltage signals in the mold cavity.

[0046] Furthermore, the mold cavity monitoring device obtains physical state information in the mold cavity according to the mold cavity pressure sensor and the mold cavity temperature sensor, and performs a monitoring function. In addition, the cloud, terminal equipment and production equipment are connected to monitor the data of the production process in real time and adjust the production equipment.

[0047] The mold cavity monitoring method provided by the embodiment of the present invention is described below in conjunction with the accompanying drawings.

[0048] Specifically, please refer to Figure 2 , which shows a mold cavity monitoring method provided by an embodiment of the present invention. The method comprises:

[0049] Step 101, receiving a pressure charge signal in a mold cavity acquired by a mold cavity pressure sensor, and converting the pressure charge signal into a pressure value;

[0050] Step 102: receiving a temperature voltage signal in the mold cavity obtained by a mold cavity temperature sensor, and converting the temperature voltage signal into a temperature value;

[0051] Step 103: judging whether to generate a first adjustment instruction according to changes in the pressure value and the temperature value;

[0052] Step 104: transmitting the pressure value, temperature value, change and the generated first adjustment instruction to the cloud, so that the cloud obtains the second adjustment instruction through an optimization algorithm according to the received data;

[0053] Step 105: receiving the second adjustment instruction from the cloud and the third adjustment instruction from the terminal device;

[0054] Step 106: Control the production equipment according to the first adjustment instruction, the second adjustment instruction, and the third adjustment instruction.

[0055] Taking the mold cavity monitoring device as an example, the method specifically includes:

[0056] Step 201: receiving a pressure charge signal in the mold cavity obtained by a mold cavity pressure sensor, and converting the pressure charge signal into a pressure value; receiving a temperature voltage signal in the mold cavity obtained by a mold cavity temperature sensor, and converting the temperature voltage signal into a temperature value.

[0057] Step 202: Determine whether to generate a first adjustment instruction according to changes in the pressure value and the temperature value.

[0058] Step 203: Control the production equipment according to the first adjustment instruction.

[0059] After obtaining the above-mentioned pressure value, temperature value, change situation and generated first adjustment instruction, the mold cavity monitoring device transmits it to the cloud. The cloud obtains the second adjustment instruction through the optimization algorithm based on the received pressure value, temperature value, change situation and generated first adjustment instruction, and the mold cavity monitoring device controls the production equipment according to the second adjustment instruction.

[0060] The mold cavity monitoring device can also control the production equipment by receiving a third adjustment instruction from the terminal device.

[0061] In an embodiment of the present invention, the first adjustment instruction is used to adjust the preset parameters of the production equipment; the second adjustment instruction is used to correct the first adjustment instruction and readjust the preset parameters; and the third adjustment instruction is used to control the operation of the production equipment.

[0062] Specifically, in a possible implementation, step 202 specifically includes:

[0063] Calculating a pressure difference between the pressure value and a preset pressure safety value, and generating a pressure difference sequence according to the calculated multiple pressure difference values;

[0064] Calculating a temperature difference between the temperature value and a preset temperature safety value, and generating a temperature difference sequence according to the calculated multiple temperature difference values;

[0065] Determine whether N consecutive pressure difference values ​​or temperature difference values ​​in the pressure difference value sequence or the temperature difference value sequence are greater than a predetermined threshold value, where N is a positive integer greater than or equal to 2;

[0066] When N consecutive pressure difference values ​​or temperature difference values ​​in the pressure difference value sequence or the temperature difference value sequence are greater than a predetermined threshold, a first adjustment instruction is generated.

[0067] Correspondingly, the first adjustment instruction is used to adjust the feed inlet temperature parameters and feed inlet pressure parameters of the production equipment.

[0068] Furthermore, the second adjustment instruction is corrected based on the adjustment range of the first adjustment instruction in this implementation manner in combination with an optimization algorithm to ensure that the production equipment can operate in an optimal state.

[0069] In another possible implementation, step 202 specifically includes:

[0070] Calculating a pressure difference between the pressure value and a good product pressure value, and calculating a temperature difference between the temperature value and a good product temperature value;

[0071] It is determined whether the pressure difference or the temperature difference exceeds the corresponding preset threshold value, and when the difference between the pressure value and the temperature value and the preset pressure threshold value and the preset temperature threshold value respectively reaches the preset threshold value, a first adjustment instruction is generated.

[0072] Correspondingly, the first adjustment instruction is used to adjust the accuracy of the production equipment in screening good and defective products.

[0073] Furthermore, the second adjustment instruction is corrected based on the adjustment range of the first adjustment instruction in this implementation manner in combination with an optimization algorithm to ensure that the production equipment can operate in an optimal state.

[0074] Based on the above technical solution, the embodiment of the present invention obtains more accurate monitoring data by acquiring the pressure charge signal and temperature voltage signal in the mold cavity, and can then make fast and accurate adjustments, thereby improving the flexibility and adaptability of the production process and providing scientific decision-making for the adjustment of production equipment.

[0075] Among them, the second adjustment instruction is obtained by the cloud through an optimization algorithm based on the received pressure value, temperature value, change and the generated first adjustment instruction. This optimization algorithm may include machine learning, data analysis and other technologies to ensure the accuracy and effectiveness of the instruction, and to correct and readjust the preset parameters of the production equipment to ensure that the production equipment can operate in the best state. The third adjustment instruction is an independent control instruction, which is mainly used to control the start or stop of the production equipment. This instruction is usually generated by the terminal device for monitoring personnel to achieve more precise control of the production equipment to ensure the stability of the production process and product quality. The third adjustment instruction is particularly suitable for responding to emergencies, such as equipment failures, changes in raw materials, etc., to ensure the continuity of the production process and the consistency of the product, and to improve the flexibility and adaptability of the production process.

[0076] Furthermore, an embodiment of the present invention also provides a mold cavity monitoring device, comprising:

[0077] a signal conversion module, configured to receive a pressure charge signal in the mold cavity obtained by the mold cavity pressure sensor, and convert the pressure charge signal into a pressure value, and to receive a temperature voltage signal in the mold cavity obtained by the mold cavity temperature sensor, and convert the temperature voltage signal into a temperature value;

[0078] a signal processing module, used for determining whether to generate a first adjustment instruction according to changes in the pressure value and the temperature value;

[0079] a data transmission module, configured to transmit the pressure value, the temperature value, the change and the generated first adjustment instruction to the cloud, so that the cloud obtains the second adjustment instruction through an optimization algorithm according to the received data; and receive the second adjustment instruction from the cloud and the third adjustment instruction from the terminal device;

[0080] An input-output module, used for controlling the production equipment according to the first adjustment instruction, the second adjustment instruction and the third adjustment instruction;

[0081] Among them, the first adjustment instruction is used to adjust the preset parameters of the production equipment; the second adjustment instruction is used to correct the first adjustment instruction and readjust the preset parameters; and the third adjustment instruction is used to control the operation of the production equipment.

[0082] Specifically, in the above-mentioned mold cavity monitoring device, the signal conversion module includes:

[0083] A pressure conversion module, used for converting the pressure charge signal into a detectable pressure voltage signal;

[0084] A temperature conversion module, used for converting the temperature voltage signal into a detectable temperature voltage signal;

[0085] The AD conversion module is used to convert the pressure voltage signal into a digital signal to obtain a pressure value, and to convert the temperature voltage signal into a digital signal to obtain a temperature value.

[0086] According to a specific embodiment, in the above-mentioned mold cavity monitoring device, the device also includes a control input module, and the control input module is used to receive a start or shutdown signal to control the operation of the mold cavity monitoring device, and to receive preset parameters to control the operation of the production equipment.

[0087] The following is an overall description of the mold cavity monitoring device and the mold cavity monitoring system provided by the embodiments of the present invention, taking a specific working method as an example.

[0088] Specifically, the pressure sensor in the mold cavity and the temperature sensor in the mold cavity are installed and fixed in the production mold, and are in direct contact with the flowing production material to facilitate the real and accurate detection of the physical properties of pressure and temperature. The mold cavity monitoring device is connected to the mold cavity monitoring device through wires, and the modules in the mold cavity monitoring device are interconnected through wiring, bus and welding. The production equipment is connected to the mold cavity monitoring device with a signal transmission line. The mold cavity monitoring device and the cloud are connected to each other through a wired network cable or a wireless network. The cloud and the terminal device transmit data through a wired network and a wireless network connection.

[0089] In a possible implementation, the control input module adopts a touch screen display module, and the production equipment includes an injection molding machine / die casting machine, a sorting machine / robotic arm, and a display board / indicator light.

[0090] On-site staff log in to the system through the touch screen display module and complete the parameter setting.

[0091] The production equipment melts the production material at high temperature and injects it into the mold cavity at high pressure.

[0092] The cavity pressure sensor and cavity temperature sensor generate voltage and charge signals after detecting the physical values ​​of pressure and temperature. The signals are converted and amplified by the pressure conversion module and the temperature conversion module and then transmitted to the AD conversion module to convert the analog signals into digital signals. After the signal processing module calculates the processing results, they are displayed on the touch screen display module and instructions are issued.

[0093] The instructions are transmitted to the injection molding machine / die casting machine to adjust the parameters through the input and output module.

[0094] The instructions are transmitted to the sorting machine / robotic arm through the input and output module to screen the products produced to see whether they are good or bad products.

[0095] The instructions are transmitted to the display board / indicator light through the input and output module to display the current product information.

[0096] All data including pressure and temperature data, calculation results, instructions, etc. are transmitted to the cloud through the data transmission module.

[0097] The server / database in the cloud classifies and processes all data, and stores it. The statistical analysis module screens, classifies, reprocesses, and compiles statistics on the data, produces various reports, and uses AI technology to perform in-depth processing and analysis of the data to output the optimal solution.

[0098] Mobile phones, tablets, computers and other terminal devices can view and operate various types of data, including raw data, processed data, and analytical data through the human-machine platform module in the cloud, and issue instructions. The data is then transmitted to the cavity monitoring device through the network to set the parameters of the production equipment. The cavity monitoring device also issues control instructions to all production equipment, realizing full monitoring of the production process and interconnection and mutual control of all equipment.

[0099] On the other hand, an embodiment of the present invention also provides an electronic device, comprising at least one processor and a memory communicatively connected to the at least one processor; the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute any one of the mold cavity monitoring methods described above.

[0100] In the embodiment of the present invention, the processor may be an integrated circuit chip having the ability to process signals. The processor may be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0101] The methods, steps and logic block diagrams disclosed in the embodiments of the present invention can be implemented or executed. The general processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in the embodiments of the present invention can be directly embodied as a hardware decoding processor for execution, or can be executed by a combination of hardware and software modules in the decoding processor. The software module can be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The processor reads the information in the storage medium and completes the steps of the above method in combination with its hardware.

[0102] The storage medium may be a memory, which may be, for example, a volatile memory or a nonvolatile memory, or may include both volatile and nonvolatile memory.

[0103] Among them, the non-volatile memory can be a read-only memory (ROM), a programmable ROM (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory.

[0104] The volatile memory may be a random access memory (RAM) which is used as an external cache. By way of example and not limitation, many forms of RAM are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate synchronous DRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), and direct rambus RAM (DRRAM).

[0105] The storage media described in the embodiments of the present invention are intended to include, but are not limited to, these and any other suitable types of memory.

[0106] It should be understood that the system disclosed in the embodiment of the present invention can be implemented in other ways. For example, the division of the units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the communication connection between the units can be through some interfaces, servers or indirect coupling or communication connection, which can be electrical or other forms.

[0107] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, each module may exist physically separately, or two or more modules may be integrated into one processing unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional unit.

[0108] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0109] Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present invention should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way for easy understanding.

[0110] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A mold cavity monitoring method, characterized in that: The method comprises: Receiving a pressure charge signal in the mold cavity acquired by a mold cavity pressure sensor, and converting the pressure charge signal into a pressure value; Receiving a temperature voltage signal in the mold cavity obtained by a mold cavity temperature sensor, and converting the temperature voltage signal into a temperature value; Determining whether to generate a first adjustment instruction according to changes in the pressure value and the temperature value; Transmitting the pressure value, temperature value, change and the generated first adjustment instruction to the cloud, so that the cloud obtains the second adjustment instruction through an optimization algorithm according to the received data; receiving a second adjustment instruction from the cloud and a third adjustment instruction from the terminal device; controlling the production equipment according to the first adjustment instruction, the second adjustment instruction, and the third adjustment instruction; Among them, the first adjustment instruction is used to adjust the preset parameters of the production equipment; the second adjustment instruction is used to correct the first adjustment instruction and readjust the preset parameters; and the third adjustment instruction is used to control the operation of the production equipment.

2. A mold cavity monitoring method according to claim 1, characterized in that: Determining whether to generate a first adjustment instruction according to changes in the pressure value and the temperature value includes: Calculating a pressure difference between the pressure value and a preset pressure safety value, and generating a pressure difference sequence according to the calculated multiple pressure difference values; Calculating a temperature difference between the temperature value and a preset temperature safety value, and generating a temperature difference sequence according to the calculated multiple temperature difference values; Determine whether N consecutive pressure difference values ​​or temperature difference values ​​in the pressure difference value sequence or the temperature difference value sequence are greater than a predetermined threshold value, where N is a positive integer greater than or equal to 2; When N consecutive pressure difference values ​​or temperature difference values ​​in the pressure difference value sequence or the temperature difference value sequence are greater than a predetermined threshold, a first adjustment instruction is generated.

3. A mold cavity monitoring method according to claim 2, characterized in that: The first adjustment instruction is used to adjust the feed inlet temperature parameter and feed inlet pressure parameter of the production equipment.

4. A mold cavity monitoring method according to claim 1, characterized in that: Determining whether to generate a first adjustment instruction according to changes in the pressure value and the temperature value includes: Calculate the pressure difference between the pressure value and the good product pressure value, and calculate the temperature difference between the temperature value and the good product temperature value; determine whether the pressure difference or the temperature difference exceeds the corresponding preset threshold value, and generate a first adjustment instruction when the difference between the pressure value and the temperature value and the preset pressure threshold value and the preset temperature threshold value respectively reaches the preset threshold value.

5. A mold cavity monitoring method according to claim 4, characterized in that: The first adjustment instruction is used to adjust the accuracy of the production equipment in screening good and bad products.

6. A mold cavity monitoring device, comprising a mold cavity pressure sensor and a mold cavity temperature sensor, characterized in that: The device also includes: a signal conversion module, configured to receive a pressure charge signal in the mold cavity obtained by the mold cavity pressure sensor, and convert the pressure charge signal into a pressure value, and to receive a temperature voltage signal in the mold cavity obtained by the mold cavity temperature sensor, and convert the temperature voltage signal into a temperature value; a signal processing module, used to determine whether to generate a first adjustment instruction according to the changes of the pressure value and the temperature value; a data transmission module, used to transmit the pressure value, the temperature value, the changes and the generated first adjustment instruction to the cloud, so that the cloud obtains the second adjustment instruction through the optimization algorithm according to the received data; and receiving the second adjustment instruction from the cloud and the third adjustment instruction from the terminal device; An input-output module, used for controlling the production equipment according to the first adjustment instruction, the second adjustment instruction and the third adjustment instruction; Among them, the first adjustment instruction is used to adjust the preset parameters of the production equipment; the second adjustment instruction is used to correct the first adjustment instruction and readjust the preset parameters; and the third adjustment instruction is used to control the operation of the production equipment.

7. A mold cavity monitoring device according to claim 6, characterized in that: The signal conversion module comprises: A pressure conversion module, used for converting the pressure charge signal into a detectable pressure voltage signal; A temperature conversion module, used for converting the temperature voltage signal into a detectable temperature voltage signal; The AD conversion module is used to convert the pressure voltage signal into a digital signal to obtain a pressure value, and to convert the temperature voltage signal into a digital signal to obtain a temperature value.

8. The mold cavity monitoring device according to claim 6, characterized in that: The device also includes a control input module, which is used to receive a start or shut down signal to control the operation of the mold cavity monitoring device, and to receive preset parameters to control the operation of the production equipment.

9. A mold cavity monitoring system, characterized in that: It includes a cloud, a terminal device, a production device and a mold cavity monitoring device, wherein the mold cavity monitoring device adopts the device according to any one of claims 6 to 8, or is used to implement the method according to any one of claims 1 to 5; Among them, the cloud is also used to store the received data and generate monitoring reports through statistical analysis, and transmit the stored data and monitoring reports to the terminal device; the terminal device is also used to display the received cloud-stored data and the monitoring reports, and generate a third adjustment instruction through manual input.

10. An electronic device, characterized in that: The device includes at least one processor and a memory communicatively connected to the at least one processor; the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method as described in any one of claims 1 to 5.

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