Industrial interconnection cloud platform system based on big data

Abstract

The invention discloses an industrial interconnection cloud platform system based on big data. The system comprises a scheduling layer, a data processing layer, a storage layer, an interface layer, a sales layer and a service layer. And the data processing layer comprises a monitoring platform and an operating system and is used for monitoring and acquiring relevant parameters in the injection molding process, the monitoring platform is connected into the production equipment and acquires working parameters of the production equipment, the monitoring platform is in butt joint with the mold library and acquires mold replacement records, and the operating system is used for controlling production tasks. According to the invention, multiple links of the injection molding process are monitored, information channels of the multiple links of the injection molding process are opened, during injection molding, problems caused by untimely communication can be avoided, and expansion of the influence range when a certain link goes wrong can be avoided by monitoring the production links in real time, so that the production efficiency is improved. Therefore, the product quality and the production efficiency are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial Internet cloud platform, and specifically to an industrial Internet cloud platform system based on big data. Background Art

[0002] Industrial Internet cloud platforms use cloud computing technology to provide data storage, management, analysis and application services for industrial enterprises. These platforms usually include core functions such as device connection management, big data processing, and application development, aiming to help enterprises achieve digital transformation and improve production efficiency and product quality. The role of industrial Internet platforms is mainly reflected in the following aspects:

[0003] Comprehensive connectivity: Enable close connections between equipment, production lines, employees, factories, warehouses, suppliers, products, and customers.

[0004] Information sharing: Through the platform, all parties can share various resources and information of the entire industrial production process.

[0005] Linkage between upper and lower levels: Promote collaborative work among design, manufacturing, supply chain, sales chain, and management chain.

[0006] Resource integration: Accelerate product updates and iterations and improve production efficiency by integrating various resources.

[0007] Announcement No. CN112200501A discloses an industrial Internet identification resolution system, including an injection mold, an intelligent data collector, an active identification carrier, a secure access control platform, a mold management cloud platform, an enterprise node, a recursive node, an industry secondary node, a national top-level node and a client; the intelligent data collector is installed on the injection mold; the active identification carrier is arranged on the intelligent data collector, and the active identification carrier is connected to the secure access control platform; the secure access control platform is connected to the enterprise node; the enterprise node is connected to the mold management cloud platform; the recursive node is connected to the enterprise node; the industry secondary node is connected to the national top-level node, and the industry secondary node and the national top-level node are respectively connected to the recursive node; the client is connected to the recursive node. The present invention provides an industrial Internet identification resolution system, which can effectively improve the monitoring intensity of the injection mold and realize the full life cycle management of the injection mold.

[0008] When injection molding is in progress, the working parameters of the production line are used to adjust the processing of the injection molded parts. When injection defects occur in the injection molded parts, the working parameters called in the injection molding process and the detailed data of the injection molded parts during the molding process cannot be restored. It is necessary to first obtain the cause of the defect, and then continuously adjust the working parameters of the production line to change the state of the injection molded parts. The states of the injection molded parts during the molding process are different, and the demolding time of the fixed mold is not conducive to the optimization of the mold molding. Summary of the invention

[0009] One of the purposes of the present invention is to provide an industrial Internet cloud platform system based on big data, which can control the injection molding process in real time through the connection of multiple links, reduce the impact of problems in a certain link, and improve the production efficiency and product quality of mold injection molding.

[0010] To achieve the above objectives, the present invention is implemented through the following technical solutions: an industrial Internet cloud platform system based on big data, including: a scheduling layer, a data processing layer, a storage layer, an interface layer, a sales layer, and a service layer;

[0011] The data processing layer includes a monitoring platform and an operating system. The monitoring is used to obtain relevant parameters during the injection molding process. The monitoring platform is connected to the production equipment and obtains the working parameters of the production equipment. The monitoring platform is connected to the mold library and obtains mold replacement records. The operating system is used to control production tasks;

[0012] The scheduling layer includes a scheduling platform, a database, and a metering system. The scheduling platform is used to schedule production equipment, raw materials, molds, and storage. The metering system collects statistics on storage surpluses by monitoring the working parameters of production equipment obtained through the monitoring platform.

[0013] The service layer includes a supply platform, which is used to obtain and record relevant information about injection molding raw materials, including the composition, remaining quantity, usage time and demand of the raw materials;

[0014] The storage layer includes a storage platform, which is used to manage the warehouse;

[0015] The interface layer implements data transmission between the data processing layer, scheduling layer, service layer, storage layer and sales layer. The interface layer includes external interface and internal interface. The external interface of the interface layer is connected with the sales layer and service layer, and the internal structure of the interface layer is connected with the data processing layer, scheduling layer and storage layer.

[0016] Sales layer: The sales layer includes a sales platform and a data statistics system. The sales platform is used to obtain differentiated user demand information and to connect with marketers. The data statistics system is used to obtain marketers' sales data.

[0017] In one or more embodiments of the present invention, the scheduling platform includes:

[0018] A raw material model established based on the injection molding raw material related information recorded in the supply platform and a mold model established based on the mold, the mold model changes the state of the raw material model;

[0019] A simulation system is used to adjust the pressure and temperature changes of the raw material model. The simulation system can adjust the state of the raw material model by changing the pressure and temperature changes. The raw material model includes the change process from solid to liquid;

[0020] The scheduling system adjusts the working parameters of the production equipment based on the status of the raw material model and the mold model;

[0021] Allocation systems are used to allocate raw materials, production tasks, and warehouse shipments.

[0022] In one or more embodiments of the present invention, the supply platform connects with the raw material supplier, and the supply platform includes a public display area, the public display area displays the raw material demand, and the supply platform marks the relevant information of the supplied raw materials;

[0023] The sales platform connects with multiple sellers, and sellers can view the raw materials and production-related information of the purchased injection molded parts;

[0024] The warehousing platform includes an incoming record module, an outgoing record module and a feedback module. The feedback module obtains the data of the incoming record module and the outgoing record module and forms data transmission with the interface layer.

[0025] In one or more embodiments of the present invention, the monitoring platform includes a collection module, a monitoring module and a communication module connected to the production equipment:

[0026] The acquisition module is connected to the production equipment to obtain the working parameters of the production equipment, and the communication module communicates with the simulation system to transmit the working parameters of the production equipment;

[0027] The monitoring module monitors the specific data of the raw materials during the injection molding process, and the communication model transmits the specific data of the raw materials monitored by the monitoring module. The specific data of the raw materials include but are not limited to: raw material pressure, raw material temperature, raw material extrusion speed, raw material injection speed, and raw material injection volume.

[0028] In one or more embodiments of the present invention, the scheduling system can also be used to perform process splitting, that is, to split the process according to the processing links of the injection molded parts, obtain the production time and production quality of each process link, and count the production equipment process parameters corresponding to the production time and production quality in the process link, sort them based on the production quality, and give priority to the production equipment process parameters with short production time.

[0029] In one or more embodiments of the present invention, the raw material model displays the state of the injection molded part from raw material to finished product. When the raw material is injected into the mold, the pressure of the mold injection raw material and the injection volume of the mold are obtained, the shape of the raw material model is changed, and the injection integrity of the raw material model is analyzed based on the injection pressure of the mold model and the injection cavity space.

[0030] In one or more embodiments of the present invention, after the raw material is formed into an injection molded part, the surface state of the injection molded part is collected based on visual inspection to obtain the surface integrity of the injection molded part:

[0031] When the surface of the injection molded part is intact, the injection molded part will flow into the next link normally;

[0032] When defects appear on the surface of an injection-molded part, the raw material model and the mold model simulate the injection molding process working parameters of the injection-molded part, obtain the injection mold, injection volume and pressure of the injection-molded part, and obtain differentiated parameters by comparing the injection volume, pressure and injection mold heat dissipation data with the set standard injection volume, standard pressure and standard injection mold heat dissipation data.

[0033] In one or more embodiments of the present invention, the temperature of the mold surface is obtained, and the temperature change of the mold surface is collected at multiple points. Based on the temperature change, the temperature change curves of different points are drawn, and the six sides of the mold are marked respectively to distinguish different points, and the marks are: X (n，m) , where X includes 1, 2, 3, 4, 5, and 6, representing the six surfaces of the mold respectively, and (n, m) is the point coordinate.

[0034] In one or more embodiments of the present invention, the molding stability of the internal injection molded parts is obtained based on the temperature change of the point on the outer surface of the mold, and the mold thickness from the injection cavity inside the mold to the outer surface of the mold is obtained. The mold thickness is the distance extending vertically from the point to the inside of the injection cavity, and the internal injection molded part temperature is calculated based on the heat conduction of the mold material, the mold thickness and the point temperature.

[0035] In one or more embodiments of the present invention, the adjustment of production equipment is achieved by analyzing the working parameters of defective injection molded parts. According to the surface defects of the injection molded parts, the injection volume and pressure, and the mold surface temperature change curve, the mold injection molding problem is analyzed, and the working parameters of the injection molding process are adjusted. After the adjustment is completed, injection molding is carried out, and the correction of the working parameters is achieved through the injection molded parts.

[0036] Through the above technical solution, the present invention has the following beneficial effects:

[0037] 1. The present invention monitors multiple links of the injection molding process and opens up information channels for multiple links of the injection molding process. During injection molding, problems caused by untimely communication can be avoided. Real-time monitoring of the production links can avoid the expansion of the impact range when problems occur in a certain link, thereby improving product quality and production efficiency.

[0038] 2. The present invention connects the information channels from supply to production to sales, and realizes multi-party coordination among supply, production and sales, so as to adjust the production plan according to market demand, reduce inventory accumulation, ensure the stable supply of raw materials and finished products, and optimize resource utilization.

[0039] 3. During the injection molding process, the present invention tracks the materials starting from the raw materials. When different raw materials or molds are replaced, the process of the corresponding production steps can be automatically adjusted to ensure precise control during use, and multiple production lines can be controlled. When problems occur in production, the production lines can be adjusted and controlled synchronously.

[0040] 4. During the injection molding production process, by real-time monitoring of the injection molding process, the detailed data of the injection molding process in different links can be mastered, and the detailed information can be analyzed to improve the steps of the injection molding process, thereby eliminating unnecessary steps in the injection molding process and improving the production efficiency of the injection molding process. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 This is the architecture diagram of the interconnected cloud platform of the present invention;

[0042] Figure 2 It is a schematic diagram of the interconnected cloud platform system of the present invention;

[0043] Figure 3 It is a schematic diagram of the mold model points of the present invention. DETAILED DESCRIPTION

[0044] The following will disclose multiple embodiments of the present invention with the accompanying drawings. For the purpose of clear description, many practical details will be described together in the following description. However, it should be understood that these practical details should not be used to limit the present invention. In other words, in some embodiments of the present invention, these practical details are not necessary. And if it is possible to implement, the features of different embodiments can be applied interchangeably.

[0045] Unless otherwise defined, all words (including technical and scientific terms) used herein have their usual meanings, which can be understood by those familiar with this field. Furthermore, the definitions of the above words in commonly used dictionaries should be interpreted as the meanings consistent with the relevant fields of the present invention in the content of this specification. Unless otherwise clearly defined, these words will not be interpreted as idealized or overly formal meanings.

[0046] See also Figure 1-Figure 3 The present invention provides an industrial Internet cloud platform system based on big data to realize the monitoring, scheduling and control of injection molding production.

[0047] In one embodiment, the industrial interconnection cloud platform system includes: a scheduling layer, a data processing layer, a storage layer, an interface layer, a sales layer, and a service layer;

[0048] The data processing layer includes a monitoring platform and an operating system. The monitoring is used to obtain relevant parameters during the injection molding process. The monitoring platform is connected to the production equipment and obtains the working parameters of the production equipment. The monitoring platform is connected to the mold library and obtains mold replacement records. The operating system is used to control production tasks;

[0049] Optionally, the production equipment connected to the monitoring platform is related to the equipment used for processing in the injection molding process, for example, extruders, injection molding machines and other related equipment, and the working parameters include temperature, extrusion speed, pressure and other data of extruders, injection molding machines and other related equipment.

[0050] The scheduling layer includes a scheduling platform, a database, and a metering system. The scheduling platform is used to schedule production equipment, raw materials, molds, and storage. The metering system collects statistics on storage surpluses by monitoring the working parameters of production equipment obtained through the monitoring platform.

[0051] Optionally, the scheduling platform serves as the hub for the monitoring platform, supply platform, warehousing platform and sales platform. It can process the working parameters related to the production equipment obtained by the monitoring platform, and can also realize the scheduling and allocation between raw materials, molds, warehousing and sales.

[0052] The service layer includes a supply platform, which is used to obtain and record relevant information about injection molding raw materials, including the composition, remaining quantity, usage time and demand of the raw materials;

[0053] The storage layer includes a storage platform, which is used to manage the warehouse;

[0054] The interface layer implements data transmission between the data processing layer, scheduling layer, service layer, storage layer and sales layer. The interface layer includes external interface and internal interface. The external interface of the interface layer is connected with the sales layer and service layer, and the internal structure of the interface layer is connected with the data processing layer, scheduling layer and storage layer.

[0055] Sales layer: The sales layer includes a sales platform and a data statistics system. The sales platform is used to obtain differentiated user demand information and to connect with marketers. The data statistics system is used to obtain marketers' sales data.

[0056] In this embodiment, the connection between the supply platform, monitoring platform, parameter platform and sales platform is realized through the scheduling platform, and the quality, output, supply volume and supply speed can be better controlled and scheduled during the entire injection molding and sales process, thereby improving the transparency starting from the raw materials, and then ensuring the transparency of the links from supply to sales.

[0057] Shortening the information synchronization time between supply and sales can enable a quick response to market changes and adjust production strategies based on market changes.

[0058] In one embodiment, the scheduling platform includes:

[0059] A raw material model established based on the injection molding raw material related information recorded in the supply platform and a mold model established based on the mold, the mold model changes the state of the raw material model;

[0060] A simulation system is used to adjust the pressure and temperature changes of the raw material model. The simulation system can adjust the state of the raw material model by changing the pressure and temperature changes. The raw material model includes the change process from solid to liquid;

[0061] The scheduling system adjusts the working parameters of the production equipment based on the status of the raw material model and the mold model;

[0062] Allocation systems are used to allocate raw materials, production tasks, and warehouse shipments.

[0063] Optionally, the mold model is connected to the mold library to establish virtual models of all molds in the mold library, and mark the mold injection pressure and temperature corresponding to the raw material. By establishing the mold model, the shape of the raw material model can be restricted. Since the heat dissipation changes of the mold are easy to measure, the temperature changes of the raw materials inside the mold can be better expressed.

[0064] Alternatively, the raw material model simulates the change of injection molded parts from raw materials to finished products, and the raw materials are restricted by the mold model to determine the shape of the raw materials. The pressure and temperature changes to which the raw materials are subjected are based on the working parameters of the production equipment and are measured by the monitoring platform. This can more realistically reflect the state of the raw materials. The supply platform records the composition of the raw materials when supplying them, and based on the relevant components of the raw materials, it can obtain the changes of the raw materials at different temperatures and pressures.

[0065] In one embodiment, the supply platform connects with the raw material supplier, and the supply platform includes a public display area, the public display area displays the raw material demand, and the supply platform marks the relevant information of the supplied raw materials;

[0066] The sales platform connects with multiple sellers, and sellers can view the raw materials and production-related information of the purchased injection molded parts;

[0067] The warehousing platform includes an incoming record module, an outgoing record module and a feedback module. The feedback module obtains the data of the incoming record module and the outgoing record module and forms data transmission with the interface layer.

[0068] In this embodiment, the raw materials and production-related information of the injection molded parts are marked with traceability information, which can facilitate the traceability of each batch of injection molded parts. The problem can be found based on the traceability information, so that the relevant links where the problem occurs can be adjusted based on the traceability information.

[0069] Exemplarily, the traceability information includes the supplier of raw materials, raw material composition, melting temperature and pressure, injection temperature and pressure, and mold information.

[0070] In one embodiment, the monitoring platform includes a collection module, a monitoring module, and a communication module connected to the production equipment:

[0071] The acquisition module is connected to the production equipment to obtain the working parameters of the production equipment, and the communication module communicates with the simulation system to transmit the working parameters of the production equipment;

[0072] The monitoring module monitors the specific data of the raw materials during the injection molding process, and the communication model transmits the specific data of the raw materials monitored by the monitoring module. The specific data of the raw materials include but are not limited to: raw material pressure, raw material temperature, raw material extrusion speed, raw material injection speed, and raw material injection volume.

[0073] In this embodiment, the accuracy of raw material status monitoring can be guaranteed through the working parameters of the production equipment and the specific data of the raw materials. After the working parameters and the specific data of the raw materials are transmitted through the communication model, the simulation system can adjust the raw material model more accurately according to the working parameters and the specific data of the raw materials, so that the raw material model is more in line with the actual status.

[0074] Optionally, in order to better simulate the state of the raw materials, the weight and volume data of the raw materials can also be collected to obtain the density of the raw materials during the injection molding process, and the accuracy of the raw material model can be further guaranteed based on the density.

[0075] In one embodiment, the scheduling system can also be used to perform process splitting, that is, splitting the process according to the processing links of the injection molded parts, obtaining the production time and production quality of each process link, and counting the production equipment process parameters corresponding to the production time and production quality in the process link, sorting based on production quality, and giving priority to the production equipment process parameters with short production time.

[0076] Optionally, the yield rate of each process link is calculated and counted by the scheduling system, so that the yield rate can be used as an auxiliary reference when selecting process parameters of different production equipment.

[0077] In this embodiment, different process links are split, and the production time and production quality of different production equipment process parameters in each link can be statistically analyzed, so that the optimal process parameters can be selected from different production equipment process parameters to improve the processing speed of raw materials and thus ensure the production efficiency of injection molded parts.

[0078] In one embodiment, the raw material model displays the state of the injection molded part from raw material to finished product. When the raw material is injected into the mold, the pressure of the mold injection raw material and the injection volume of the mold are obtained, the shape of the raw material model is changed, and the injection integrity of the raw material model is analyzed based on the injection pressure of the mold model and the injection cavity space.

[0079] In this embodiment, the state of the raw material is analyzed by the pressure that the raw material model is subjected to during the actual injection molding process and the injection volume entering the mold. During injection molding, since the mold itself is in a fixed state, the injection volume of the raw material entering the mold is fixed, and the pressure on the raw material is also fixed. Therefore, when the raw material pressure and injection volume change, it means that there is a problem inside the injection cavity, which can easily affect the quality of the raw material molding.

[0080] Optionally, due to the different compositions of the raw materials, the pressure of the raw materials entering the molding cavity is also different. Therefore, different injection molding parameters need to be established for different raw materials. The injection molding parameters include the pressure and injection volume of different raw materials during the injection molding process, and different pressures and injection volumes are limited for different raw materials.

[0081] In one embodiment, after the raw material is formed into an injection molded part, the surface state of the injection molded part is collected based on visual inspection to obtain the surface integrity of the injection molded part:

[0082] When the surface of the injection molded part is intact, the injection molded part will flow into the next link normally;

[0083] When defects appear on the surface of an injection-molded part, the raw material model and the mold model simulate the injection molding process working parameters of the injection-molded part, obtain the injection mold, injection volume and pressure of the injection-molded part, and obtain differentiated parameters by comparing the injection volume, pressure and injection mold heat dissipation data with the set standard injection volume, standard pressure and standard injection mold heat dissipation data.

[0084] In this embodiment, a simulation of the injection molding process of the injection molded parts is formed by using a raw material model and a mold model, so that the injection state of the injection molded parts when defects occur can be restored, and the problems occurring during the injection molding process of the injection molded parts can be analyzed based on the injection state, thereby completing the adjustment of the injection molding process working parameters to automatically adjust the working parameters.

[0085] Optionally, the calculation of the injection volume of the injection molded part depends on the injection speed and injection time of the injection port. When the injection molding is performed at the injection port, the internal bubbles will affect the calculation of the actual injection volume. Therefore, after the injection molding is completed, the weight of the injection molded part is obtained to determine whether there is air in the injection molded part during the injection molding process, and the injection molded part is further inspected.

[0086] In one embodiment, the temperature of the mold surface is obtained, and the temperature change of the mold surface is collected at multiple points. Based on the temperature change, the temperature change curves of different points are drawn, and the six sides of the mold are marked respectively to distinguish different points, and the marks are: X (n，m) , where X includes 1, 2, 3, 4, 5, and 6, representing the six surfaces of the mold respectively, and (n, m) is the point coordinate.

[0087] In this embodiment, multiple points are set on the mold surface to form a detection of the mold, which can collect the temperature changes of the mold at different positions. The temperature change of the mold is affected by the temperature of the internal raw material. When the internal raw material is defective or incomplete, the temperature change curve of different points will be affected. The state of the raw material inside the mold can be analyzed based on the temperature change curve.

[0088] Optionally, the temperature change is collected based on multiple points, and the defect location can be determined based on the temperature change.

[0089] In one embodiment, the molding stability of the internal injection molded part is obtained based on the temperature change of the point on the outer surface of the mold, and the mold thickness from the injection cavity inside the mold to the outer surface of the mold is obtained. The mold thickness is the distance extending vertically from the point to the inside of the injection cavity. The internal injection molded part temperature is calculated based on the heat conduction of the mold material, the mold thickness and the point temperature.

[0090] In this embodiment, the internal injection molded part temperature is calculated based on the heat conduction of the mold material, the mold thickness, and the point temperature: the formula for uniform transfer through the mold is as follows:

[0091]

[0092] in:

[0093] (Q) is the amount of heat transferred through the die per second (watt, W);

[0094] (k) is the thermal conductivity of the mold material (W / m·K);

[0095] (A) is the area of ​​heat transfer (square meters, m2);

[0096] (T 外 ) is the temperature of the mold surface (degrees Celsius, °C);

[0097] (T 内 ) is the temperature inside the injection molded part (in degrees Celsius, °C);

[0098] (d) is the thickness of the mold (meter, m).

[0099] Q is determined according to the mold material and mold design. Calculating the temperature inside the molded part can determine the state of the molded part. After the molded part is stable, the molded part can be demoulded and the residual time inside the mold of the molded part can be optimized, thereby avoiding long-term cooling inside the mold of the molded part, which leads to a long injection molding process time.

[0100] In one embodiment, the production equipment is adjusted by analyzing the working parameters of defective injection molded parts. The mold injection problem is analyzed based on the surface defects of the injection molded parts, the injection volume and pressure, and the mold surface temperature change curve, and the working parameters of the injection molding process are adjusted. After the adjustment is completed, injection molding is carried out, and the working parameters are corrected through the injection molded parts.

[0101] In this embodiment, the defect location of the injection molded part can be obtained based on the state of the injection molded part, the injection volume and pressure, and the mold temperature change curve, and then the working parameters can be changed to adjust the state of the raw material inside the mold to adjust the production equipment. After the injection molded part is corrected for the working parameters, the synchronous adjustment of multiple production lines can be achieved.

[0102] In summary, the technical solutions disclosed in the above embodiments of the present invention have at least the following advantages:

[0103] 1. The present invention monitors multiple links of the injection molding process and opens up information channels for multiple links of the injection molding process. During injection molding, problems caused by untimely communication can be avoided. Real-time monitoring of the production links can avoid the expansion of the impact range when problems occur in a certain link, thereby improving product quality and production efficiency.

[0104] 2. The present invention connects the information channels from supply to production to sales, and realizes multi-party coordination among supply, production and sales, so as to adjust the production plan according to market demand, reduce inventory accumulation, ensure the stable supply of raw materials and finished products, and optimize resource utilization.

[0105] 3. During the injection molding process, the present invention tracks the materials starting from the raw materials. When different raw materials or molds are replaced, the process of the corresponding production steps can be automatically adjusted to ensure precise control during use, and multiple production lines can be controlled. When problems occur in production, the production lines can be adjusted and controlled synchronously.

[0106] 4. During the injection molding production process, by real-time monitoring of the injection molding process, the detailed data of the injection molding process in different links can be mastered, and the detailed information can be analyzed to improve the steps of the injection molding process, thereby eliminating unnecessary steps in the injection molding process and improving the production efficiency of the injection molding process.

[0107] Although the present invention is disclosed in conjunction with the above embodiments, it is not intended to limit the present invention. Anyone familiar with this technology can make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the scope of protection of the present invention should be based on the definition of the attached claims.

Claims

1. An industrial Internet cloud platform system based on big data, characterized in that: include: Scheduling layer, data processing layer, storage layer, interface layer, sales layer, and service layer; The data processing layer includes a monitoring platform and an operating system. The monitoring is used to obtain relevant parameters during the injection molding process. The monitoring platform is connected to the production equipment and obtains the working parameters of the production equipment. The monitoring platform is connected to the mold library and obtains mold replacement records. The operating system is used to control production tasks; The scheduling layer includes a scheduling platform, a database, and a metering system. The scheduling platform is used to schedule production equipment, raw materials, molds, and storage. The metering system collects statistics on storage surpluses by monitoring the working parameters of production equipment obtained through the monitoring platform. The service layer includes a supply platform, which is used to obtain and record relevant information about injection molding raw materials, including the composition, remaining quantity, usage time and demand of the raw materials; The storage layer includes a storage platform, which is used to manage the warehouse; The interface layer implements data transmission between the data processing layer, scheduling layer, service layer, storage layer and sales layer. The interface layer includes external interface and internal interface. The external interface of the interface layer is connected with the sales layer and service layer, and the internal structure of the interface layer is connected with the data processing layer, scheduling layer and storage layer. Sales layer: The sales layer includes a sales platform and a data statistics system. The sales platform is used to obtain differentiated user demand information and to connect with marketers. The data statistics system is used to obtain marketers' sales data.

2. According to the big data-based industrial Internet cloud platform system of claim 1, it is characterized in that: The dispatch platform includes: A raw material model established based on the injection molding raw material related information recorded in the supply platform and a mold model established based on the mold, the mold model changes the state of the raw material model; A simulation system is used to adjust the pressure and temperature changes of the raw material model. The simulation system can adjust the state of the raw material model by changing the pressure and temperature changes. The raw material model includes the change process from solid to liquid; The scheduling system adjusts the working parameters of the production equipment based on the status of the raw material model and the mold model; Allocation system for allocating raw materials, production tasks and warehouse shipments.

3. According to the big data-based industrial Internet cloud platform system of claim 2, it is characterized in that: The monitoring platform includes a collection module, a monitoring module, and a communication module that are connected to production equipment: The acquisition module is connected to the production equipment to obtain the working parameters of the production equipment, and the communication module communicates with the simulation system to transmit the working parameters of the production equipment; The monitoring module monitors the specific data of the raw materials during the injection molding process, and the communication model transmits the specific data of the raw materials monitored by the monitoring module. The specific data of the raw materials include but are not limited to: raw material pressure, raw material temperature, raw material extrusion speed, raw material injection speed, and raw material injection volume.

4. The industrial Internet cloud platform system based on big data according to claim 3 is characterized in that: The scheduling system can also be used to split the process, that is, to split the process according to the processing links of the injection molded parts, obtain the production time and production quality of each process link, and count the production equipment process parameters corresponding to the production time and production quality in the process link, sort them based on the production quality, and give priority to the production equipment process parameters with short production time.

5. The industrial internet cloud platform system based on big data according to claim 4 is characterized in that: The supply platform connects with raw material suppliers. The supply platform includes a public display area, which displays raw material demand and marks the relevant information of the supplied raw materials; The sales platform connects with multiple sellers, and sellers can view the raw materials and production-related information of the purchased injection molded parts; The warehousing platform includes an incoming record module, an outgoing record module and a feedback module. The feedback module obtains the data of the incoming record module and the outgoing record module and forms data transmission with the interface layer.

6. The industrial Internet cloud platform system based on big data according to claim 5 is characterized in that: The raw material model displays the state of the injection molded part from raw material to finished product. When the raw material is injected into the mold, the pressure of the mold injection raw material and the injection volume of the mold are obtained, the shape of the raw material model is changed, and the injection integrity of the raw material model is analyzed based on the injection pressure of the mold model and the injection cavity space.

7. The industrial Internet cloud platform system based on big data according to claim 6 is characterized in that: After the raw materials are formed into injection molded parts, the surface state of the injection molded parts is collected based on visual inspection to obtain the surface integrity of the injection molded parts: When the surface of the injection molded part is intact, the injection molded part will flow into the next link normally; When defects appear on the surface of an injection-molded part, the raw material model and the mold model simulate the injection molding process working parameters of the injection-molded part, obtain the injection mold, injection volume and pressure of the injection-molded part, and obtain differentiated parameters by comparing the injection volume, pressure and injection mold heat dissipation data with the set standard injection volume, standard pressure and standard injection mold heat dissipation data.

8. The industrial Internet cloud platform system based on big data according to claim 7 is characterized in that: Get the temperature of the mold surface, collect the temperature changes of the mold surface at multiple points, draw the temperature change curves of different points based on the temperature changes, mark the six sides of the mold respectively, distinguish different points, and mark them as: X (n，m) , where X includes 1, 2, 3, 4, 5, and 6, representing the six surfaces of the mold respectively, and (n, m) is the point coordinate.

9. The industrial internet cloud platform system based on big data according to claim 8 is characterized in that: The molding stability of the internal injection molded parts is obtained based on the temperature change of the points on the outer surface of the mold. The mold thickness from the injection cavity inside the mold to the outer surface of the mold is obtained. The mold thickness is the distance from the point extending vertically into the injection cavity. The internal injection molded part temperature is calculated based on the heat conduction of the mold material, the mold thickness and the point temperature.

10. The industrial internet cloud platform system based on big data according to claim 9 is characterized in that: The production equipment can be adjusted by analyzing the working parameters of defective injection molded parts. According to the surface defects of injection molded parts, injection volume and pressure, and mold surface temperature change curve, the mold injection problem is analyzed and the working parameters of the injection molding process are adjusted. After the adjustment is completed, injection molding is carried out and the working parameters are corrected through the injection molded parts.

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