Brand-new weighing and granulating integrated intelligent unit control system

Abstract

The invention relates to the technical field of automation, in particular to a brand-new weighing and granulating integrated intelligent unit control system, which is used in a polyolefin production process and comprises a weighing and blanking control assembly, a weighing and granulating control assembly and a control assembly, the extrusion granulation control assembly is used for controlling the granulation process during polyolefin production; the quality prediction management assembly is used for obtaining the mass change condition of future material particles and corresponding improvement measures according to the real-time process parameters of the weighing and discharging control assembly and the extrusion granulation control assembly; the operation navigation assembly is used for guiding the operation processes of starting and parking, brand switching and sudden stop resetting; and the system integrity component is used for assisting operation and maintenance guidance and quickly and conveniently locking fault reasons. The technical problems that in the prior art, operation, maintenance and unified management and control among multiple systems and multiple devices are difficult, product quality control lags behind, and effective management and control means are lacked are solved.

Description

Technical Field

[0001] The invention relates to the field of automation technology, and in particular to a new integrated weighing and granulation intelligent unit control system. Background Art

[0002] In the polyolefin production process, the extrusion granulation unit plays a vital role. It consists of multiple process units and equipment, which work together to complete complex production tasks. The weighing and feeding unit and the granulation unit are the two core devices in the unit. Each has an independent control system, and the signal interaction between the two is realized through communication or hard wiring.

[0003] However, this design brings many challenges: when using communication to exchange information, the stability of the signal is difficult to guarantee, resulting in the control commands being often invalid and troubleshooting being difficult; in addition, the cross-system operation process is cumbersome and collaborative work is difficult, further exacerbating these problems.

[0004] Therefore, there is an urgent need for a new integrated weighing and granulation intelligent unit control system to solve the above problems. Summary of the invention

[0005] 1. Technical issues to be resolved

[0006] In view of the above-mentioned shortcomings and deficiencies of the prior art, the present invention provides a new integrated intelligent weighing and granulation unit control system, which solves the technical problems in the prior art such as unstable data information interaction, cumbersome cross-control system operation, difficult collaborative operation, and lagging quality control.

[0007] (II) Technical solution

[0008] In order to achieve the above object, the main technical solutions adopted by the present invention include:

[0009] In the first aspect, the embodiment of the present invention provides a new integrated weighing and granulation intelligent unit control system for use in a polyolefin production process, wherein the new integrated weighing and granulation intelligent unit control system comprises:

[0010] Weighing and unloading control components are used to control the precise weighing and unloading of polyolefins during production;

[0011] Extrusion granulation control components, used to control the granulation process in polyolefin production;

[0012] The quality prediction management component is used to obtain the quality changes of material particles in the future and the corresponding improvement measures based on the real-time process parameters of the weighing and feeding control component and the extrusion granulation control component;

[0013] Operation navigation component, used to guide the operation process of starting and stopping, license plate switching and emergency stop reset by means of pop-up window prompts, graphic color change and text description;

[0014] System integrity components are used to assist in operation and maintenance guidance, and quickly and conveniently identify the cause of the fault;

[0015] The improvement measures include adjusting the process parameters of the weighing and feeding component and the extrusion granulation control component.

[0016] Optionally, the quality prediction management component includes:

[0017] Data acquisition and processing module, used to obtain real-time production process data of weighing and feeding components and extrusion granulation control components;

[0018] A data selection module is used to select and process the real-time production process data to obtain the processed real-time production process data;

[0019] The data prediction and improvement module is used to input real-time production process data into the trained quality prediction model to predict future product quality changes and provide improvement measures;

[0020] The quality prediction model includes: a main motor speed sub-model, a barrel heating data sub-model, a template hot oil temperature sub-model, a melting pump speed sub-model, a pelletizer speed sub-model, a pelletizing water temperature sub-model, and a weighing feed amount model.

[0021] Optionally, the quality prediction management component further includes:

[0022] A model training module, used to train the quality prediction model using a training data set to obtain a trained quality prediction model;

[0023] The training data set includes historical production process data and quality changes during the production of material particles that have passed chemical testing.

[0024] Optionally, the model training module is specifically used to input each data in the training data set into the quality prediction model for training until a preset regression loss function corresponding to the quality prediction model converges to obtain a trained quality prediction model.

[0025] Optionally, the quality prediction model includes:

[0026] Hidden layer feature extraction unit and decision determination unit;

[0027] The hidden layer feature extraction unit is used to extract hidden layer features of production process data and basic parameters of material particles input into the quality prediction model;

[0028] The decision logic determination unit is used to determine the final quality change of the material particles in the future and the corresponding improvement measures based on a preset decision tree algorithm.

[0029] Optionally, the operation navigation component includes:

[0030] Driving guidance program function unit, parking guidance program function unit, license plate switching program function unit and emergency stop reset guidance program function unit;

[0031] The driving guidance program functional unit is integrated with a dedicated driving program for realizing one-key automatic driving;

[0032] The parking guidance program functional unit is integrated with a dedicated parking program for realizing one-key automatic parking;

[0033] The grade switching program functional unit is used to automatically select grades according to different grade characteristics and production working conditions;

[0034] The emergency stop and reset guidance program functional unit is used to analyze the operation sequence and interlocking relationship after emergency stop, form an automated operation process, and perform automatic reset.

[0035] Optionally, the system integrity component includes:

[0036] Instrument loop information, configuration information, electronic ledger information, spare card and channel information, system vulnerability information, and other information;

[0037] The other information includes alarm information and operation record information.

[0038] In the second aspect, the embodiment of the present invention provides a new integrated weighing and granulation intelligent unit, including:

[0039] A weighing and discharging device for weighing materials, a granulating device for granulating the weighed and discharging materials, and a new integrated weighing and granulating intelligent unit control system;

[0040] The new integrated weighing and granulation intelligent unit control system is the new integrated weighing and granulation intelligent unit control system described in any claim.

[0041] (III) Beneficial effects

[0042] The beneficial effects of the present invention are as follows: a new integrated weighing and granulation intelligent unit control system of the present invention, due to the use of a common control system, can achieve integrated management and control compared with the prior art, and solve the technical problems of difficulty in centralized equipment control of intelligent units, unstable information interaction, cumbersome cross-control system operation, difficult collaborative operation, and lagging product quality control. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 This is a structural block diagram of a new integrated weighing and granulation intelligent unit control system in Example 1 of the present invention;

[0044] Figure 2 A flowchart of one-key driving of the driving guidance program function unit in Embodiment 2 of the present invention;

[0045] Figure 3 A flowchart of one-key parking of the parking guidance program function unit in Embodiment 2 of the present invention;

[0046] Figure 4 It is a flowchart of the brand switching program function unit in the second embodiment of the present invention automatically selecting the brand;

[0047] Figure 5 It is an internal flow chart of the quality prediction management component in Embodiment 1 of the present invention;

[0048] Figure 6 A schematic diagram of the auxiliary operation and maintenance process of the system integrity component in Embodiment 3 of the present invention;

[0049] Figure 7 It is a flowchart of the emergency stop and reset guidance program function unit in Embodiment 2 of the present invention;

[0050] Figure 8 This is a structural block diagram of a new integrated weighing and granulation intelligent unit in Example 4 of the present invention. DETAILED DESCRIPTION

[0051] In order to better explain the present invention and facilitate understanding, the present invention is described in detail below through specific implementation modes in conjunction with the accompanying drawings.

[0052] An embodiment of the present invention proposes a new integrated weighing and granulation intelligent unit control system, which integrates a weighing and feeding control component, an extrusion granulation control component, a quality prediction management component, an operation navigation component and a system integrity component into a set of control systems in order to solve the technical problems of unstable data information interaction, cumbersome cross-control system operation and difficult collaborative operation in the prior art. All control logics are implemented in a set of control systems, thereby realizing integrated management and control, breaking down data silos and realizing data interconnection.

[0053] AI: analog input signal; DI: switch input signal; AO: analog output signal; DO: switch output signal.

[0054] Human-computer interaction: online devices, online inspection equipment, online running programs, etc., when enabled, online data and status interact with the platform, and an interactive communication method is used for data transmission, early warning alarms, and prompt warnings.

[0055] In order to better understand the above technical solution, exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided to enable a clearer and more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0056] Example 1

[0057] See also Figure 1 The embodiment of the present invention is a new integrated weighing and granulating intelligent unit control system, which is used in the polyolefin production process. The new integrated weighing and granulating intelligent unit control system includes:

[0058] Weighing and unloading control components are used to control the precise weighing and unloading of polyolefins during production;

[0059] Extrusion granulation control components, used to control the granulation process in polyolefin production;

[0060] The quality prediction management component is used to obtain the quality changes of material particles in the future and the corresponding improvement measures based on the real-time process parameters of the weighing and feeding control component and the extrusion granulation control component;

[0061] Operation navigation component, used to guide the operation process of starting and stopping, license plate switching and emergency stop reset by means of pop-up window prompts, graphic color change and text description;

[0062] System integrity components are used to assist in operation and maintenance guidance, and quickly and conveniently identify the cause of the fault;

[0063] The system integrity components include:

[0064] Instrument loop information, configuration information, electronic ledger information, spare card and channel information, system vulnerability information and other information;

[0065] The other information includes alarm information and operation record information.

[0066] The improvement measures include adjusting the process parameters of the weighing and feeding component and the extrusion granulation control component.

[0067] In the specific implementation process, for example, the corresponding improvement measures include:

[0068] Adjust the main motor speed, adjust the cylinder heating temperature, adjust the template hot oil temperature, adjust the melting pump speed, adjust the pelletizer speed, adjust the pelletizing water temperature, adjust the weighing discharge amount, etc.

[0069] In this embodiment, the quality prediction management component includes:

[0070] Data acquisition and processing module, used to obtain real-time production process data of weighing and feeding components and extrusion granulation control components;

[0071] A data selection module is used to select and process the real-time production process data to obtain the processed real-time production process data;

[0072] The data prediction and improvement module is used to input real-time production process data into the trained quality prediction model to predict future product quality changes and provide improvement measures;

[0073] The quality prediction model includes: a main motor speed sub-model, a barrel heating data sub-model, a template hot oil temperature sub-model, a melting pump speed sub-model, a pelletizer speed sub-model, a pelletizing water temperature sub-model, and a weighing feed amount model.

[0074] The specific data flow is as follows Figure 5 shown.

[0075] In this embodiment, the data selection module includes a data cleaning unit and a data reduction unit;

[0076] The data cleaning unit is used to identify and correct erroneous, inconsistent and missing data in real-time production process parameters and obtain cleaned data.

[0077] The data reduction unit is used to simplify the cleaned data according to the dimension reduction algorithm to obtain the preprocessed data.

[0078] The data reduction unit in this embodiment uses a principal component analysis (PLA) algorithm to perform dimensionality reduction.

[0079] The quality prediction management component also includes:

[0080] A model training module, used to train the quality prediction model using a training data set to obtain a trained quality prediction model;

[0081] The training data set includes historical production process data and quality changes during the production of material particles that have passed chemical testing.

[0082] The model training module is specifically used to input each data in the training data set into the quality prediction model for training until a preset regression loss function corresponding to the quality prediction model converges to obtain a trained quality prediction model.

[0083] The quality prediction model includes:

[0084] Hidden layer feature extraction unit and decision determination unit;

[0085] The hidden layer feature extraction unit is used to extract hidden layer features of production process data and basic parameters of material particles input into the quality prediction model;

[0086] The decision logic determination unit is used to determine the final quality change of the material particles in the future and the corresponding improvement measures based on a preset decision tree algorithm.

[0087] The decision logic determination unit is used to determine the final quality change of the material particles in the future and the corresponding improvement measures based on a preset decision tree algorithm.

[0088] In this embodiment, the hidden layer feature extraction unit includes an automatic encoder for extracting hidden layer features of production process data and basic parameters of material particles input into the quality prediction model;

[0089] The automatic encoder includes an encoder and a decoder, wherein the encoder and the decoder both include 1a two-dimensional convolution layers with a convolution kernel size of 1×1; 1a is a preset value.

[0090] The decision tree algorithm is a supervised learning method used for classification and regression tasks, and in this embodiment, is used to generate specific repair and maintenance plans based on the features extracted from the autoencoder. The decision tree moves down the tree structure through a series of feature tests until it reaches a leaf node, which provides the final output.

[0091] In this embodiment, the operation navigation component includes:

[0092] Driving guidance program function unit, parking guidance program function unit, license plate switching program function unit and emergency stop reset guidance program function unit;

[0093] The driving guidance program functional unit is integrated with a dedicated driving program for realizing one-key automatic driving;

[0094] The parking guidance program functional unit is integrated with a dedicated parking program for realizing one-key automatic parking;

[0095] The grade switching program functional unit is used to automatically select grades according to different grade characteristics and production working conditions;

[0096] The emergency stop and reset guidance program functional unit is used to analyze the operation sequence and interlocking relationship after emergency stop, form an automated operation process, and perform automatic reset.

[0097] A new integrated weighing and granulation intelligent unit control system in this embodiment can adjust the production process parameters of the unit in real time by setting a quality prediction management component, thereby improving the quality of material particles.

[0098] Example 2

[0099] This embodiment provides a new integrated weighing and granulation intelligent unit control system, which is a supplement to the new integrated weighing and granulation intelligent unit control system in Embodiment 1, and the repeated contents will not be repeated here.

[0100] A new integrated weighing and granulation intelligent unit control system of this embodiment includes:

[0101] Weighing and unloading control components are used to control the precise weighing and unloading of polyolefins during production;

[0102] Extrusion granulation control components, used to control the granulation process in polyolefin production;

[0103] The quality prediction management component is used to obtain the quality changes of material particles in the future and the corresponding improvement measures based on the real-time process parameters of the weighing and feeding control component and the extrusion granulation control component;

[0104] Operation navigation component, used to guide the operation process of starting and stopping, license plate switching and emergency stop reset by means of pop-up window prompts, graphic color change and text description;

[0105] a system integrity component for integrating operating parameter information into the control system via information technology;

[0106] Among them, the operation navigation components include:

[0107] Driving guidance program function unit, parking guidance program function unit, license plate switching program function unit and emergency stop reset guidance program function unit;

[0108] The driving guidance program functional unit is integrated with a dedicated driving program for realizing one-key automatic driving;

[0109] The parking guidance program functional unit is integrated with a dedicated parking program for realizing one-key automatic parking;

[0110] The grade switching program functional unit is used to automatically select grades according to different grade characteristics and production working conditions;

[0111] The emergency stop and reset guidance program functional unit is used to analyze the operation sequence and interlocking relationship after emergency stop, form an automated operation process, and perform automatic reset.

[0112] In the specific implementation process, see Figure 2In the driving guidance program functional unit of this embodiment, the driving main program, driving subprogram and subprogram execution order are compiled to form a special driving guidance program. The special driving guidance program provides the operator with pop-up windows, text descriptions, graphic color change and other process confirmation programs, establishes effective information interaction between the intelligent unit control system and the operator, enables the operator to fully understand the status of each stage of driving, and realizes the one-key automatic driving function. The specific operation guidance steps are as follows:

[0113] 1) Enter the driving guidance program function unit;

[0114] 2) Start the lubricating oil system and confirm that there are no abnormalities, including: normal temperature (25℃-65℃), normal oil pressure difference (blockage 0.22MPa), normal pressure, normal drive side / non-drive side bearing oil flow, normal oil tank oil level, and motor operation;

[0115] 3) Start the hydraulic oil system and confirm that there is no abnormality;

[0116] 4) Start the cooling water system and confirm that there is no abnormality;

[0117] 5) Start the thermal oil heating system and confirm that the oil temperature and flow rate are normal;

[0118] 6) Start the drying and screening system and operate in the following order: pellet conveying system → vibrating screen → dehumidifying fan → dryer;

[0119] 7) Start the pelletizing water system and confirm that the pelletizing water pump operates normally and the pelletizing water flow rate is normal;

[0120] 8) Start the turning motor and confirm that there is no abnormality;

[0121] 9) Start the main motor, and after confirming that it is running smoothly, stop the motor;

[0122] 10) According to the preset feeding amount, start the weighing feeding unit and confirm that there is no abnormality;

[0123] 11) Open the valve to the ground, enter the ground mode, and discharge the residual materials in the cylinder;

[0124] 12) When confirming that the melt in the drain valve has met the die conditions, start the melt pump;

[0125] 13) Place the start valve in the straight-through position and enter the die mode;

[0126] 14) Confirm that the die punching is completed, turn the start valve from the straight-through position to the exhaust position, and perform the die scraping operation;

[0127] 15) Confirm that the scraping operation is completed. After the scraping of the mold is completed, start the pelletizer mold closing program with one button. The extruder enters the "three simultaneous" program.

[0128] ① From the trolley to the template;

[0129] ② Cutting water to the template;

[0130] ③ Melt to template.

[0131] 16) Increase the load and enter the formal operation state.

[0132] See also Figure 3 In the parking guidance program functional unit of this embodiment, a parking main program, a parking subprogram and a subprogram execution sequence are compiled to form a special parking program. The special parking guidance program provides the operator with a pop-up window, text description, graphic color change and other process confirmation programs, establishes effective information interaction between the granulating unit and the operator, enables the operator to fully understand the status of each stage of the granulating unit parking, and realizes the one-key automatic parking function. The specific operation guidance steps are as follows:

[0133] 1) Enter the parking guidance program function unit;

[0134] 2) Stop weighing and unloading unit;

[0135] 3) When the delay condition is met, the main motor operation is stopped;

[0136] 4) When the delay condition is met, the melt pump operation is stopped;

[0137] 5) When the delay condition is met, the pelletizer operation is stopped;

[0138] 6) Prompt the cutter to unlock and push the operation;

[0139] 7) Prompt the pelletizing water three-way valve to operate in bypass position;

[0140] 8) The shutdown operation is completed.

[0141] Further, see Figure 4 , which is the step of guiding the brand switching in the brand switching program function unit in this embodiment. In the specific operation process, firstly, according to the production process requirements, the operation data of different brands are determined, including: additive type, additive ratio, main motor speed, barrel temperature, throttle valve opening, template temperature, pelletizer speed, etc.

[0142] Through the brand switching program function unit, the operating data is grouped according to the brand and the parameters within the brand group are determined;

[0143] According to the characteristics of different grades and production conditions, different operation paths and interlock protection values ​​are automatically selected. The operator can switch grades automatically and quickly according to the prompts on the screen according to the grade switching requirements.

[0144] Among them, the interlock protection value is automatically adjusted according to different brand characteristics and production conditions. That is to say, the brand switching program function unit of this embodiment can not only identify the brand currently being produced, but also dynamically select the most suitable operation path and safety parameters for the brand, including the interlock protection value, thereby improving production efficiency, ensuring product quality and ensuring the safety of the production process.

[0145] The above-mentioned driving guidance program functional unit, parking guidance program functional unit and license plate switching program functional unit realize one-key starting and stopping, one-key license plate switching, improve the safety, reliability, stability, automation and intelligence of the system, realize precise control, and reach the autonomous and stable operation of driving production capacity. The device runs more smoothly and effectively reduces the number of unplanned stops.

[0146] Specifically, the emergency stop and reset guidance program function unit integrates the emergency stop and reset guidance program function block, and the unit-specific emergency stop and reset guidance program function provides guidance to the operator in the form of confirmation pop-up windows, text descriptions, etc. until the integrated weighing and granulation intelligent unit control system enters a ready state (has the conditions for operation).

[0147] During this process, the operator can confirm the operation according to the prompts, and can directly and comprehensively grasp the situation of entering the ready conditions. Reduce the risk of operational errors. Figure 7 The specific operation instructions are as follows:

[0148] 1) Enter the emergency stop reset operation guidance program

[0149] 2) Prompt to reset the emergency stop button, confirm;

[0150] 3) Prompt to start the lubricating oil system, confirm;

[0151] 4) Prompt to start the hot oil system, confirm;

[0152] 5) Prompt the cylinder to heat up, confirm;

[0153] 6) Prompt to start the hydraulic oil system, confirm;

[0154] 7) Prompt to operate the start valve to the ground, confirm;

[0155] 8) Prompt the water chamber drain valve to open, confirm;

[0156] 9) The water chamber will be unlocked, confirm;

[0157] 10) The pelletizing trolley is pushed out and confirmed;

[0158] 11) Prompt the mixer hopper to be emptied, confirm;

[0159] 12) Restore the weighing and unloading unit and confirm;

[0160] 13) The system prompts you to restore the air delivery unit, confirm;

[0161] 14) The integrated intelligent weighing and granulation unit control system enters the ready state.

[0162] The emergency stop reset guidance program functional unit can analyze the operation sequence and interlocking relationship after emergency stop, thereby forming an automated operation process and reducing the risk of operation errors.

[0163] The new integrated weighing and granulation intelligent unit control system of this embodiment introduces the original manual operation of starting and stopping, brand switching, emergency stop reset and auxiliary operation and maintenance into interlocking and program condition judgment, realizing one-key automatic starting and stopping, one-key brand switching, one-key emergency stop reset, etc. of the intelligent unit control system, improving the safety, reliability, stability and automation and intelligence of the operation of the intelligent unit control system, while making production automation visible, alarm more standardized, reducing errors, improving efficiency, reducing the operating error rate, reducing driving time, greatly reducing the labor intensity of operators starting and stopping, and avoiding the occurrence of misoperation and operating accidents. Furthermore, by realizing automation, the dependence on operating experience is reduced, the operation is de-skilled, and the impact of human factors in the production process is reduced. The training cycle for new employees is reduced and personnel costs are reduced.

[0164] Example 3

[0165] This embodiment provides a new integrated weighing and granulating intelligent unit control system, which is a supplement to the new integrated weighing and granulating intelligent unit control system in Embodiment 1 and Embodiment 2. The repeated contents will not be repeated here, and only the system integrity components will be described in detail:

[0166] See also Figure 6 , which is a system integrity component of a new integrated weighing and granulation intelligent unit control system of this embodiment, integrates instrument loop information, configuration information, system information, etc. into the control system through information technology, making operation and maintenance efficient and convenient.

[0167] At the same time, through the system integrity component, the following operations can be performed:

[0168] 1) Rapid fault location: When a fault is detected, the operation and maintenance personnel can click on the fault number to directly call up the instrument loop location corresponding to the fault number on the visual interface. This function relies on the pre-built intelligent unit information database and graphical user interface (GUI). Each instrument loop has a unique identifier, and its physical location, connection method, and associated components are recorded.

[0169] 2) Spare resource management: This function allows operation and maintenance personnel to instantly view the status of all spare cards and channels in the intelligent unit control system. This usually involves establishing a real-time updated resource pool that contains information on all spare hardware, such as model, specification, availability, and installation location.

[0170] 3) Security vulnerability and risk assessment: The auxiliary operation and maintenance guidance function unit can regularly scan the entire system to identify possible software defects, configuration errors or other security risks. It uses automated tools to perform code analysis, simulated attack tests and other means to discover potential problems.

[0171] 4) Configuration modification tracking: record every change made to the granulator unit configuration, including timestamp, operator ID, specific modification content, etc. This allows you to trace historical changes at any time and understand how the current status has evolved.

[0172] 5) Electronic ledger integration: All documents related to the intelligent unit, such as instructions, maintenance manuals, calibration certificates, etc., are digitized and stored on the intelligent operation management and control device. These documents are classified and organized according to certain rules for easy query and management.

[0173] 6) Unified management of alarm and operation logs: alarm events and daily operations are recorded and arranged in chronological order for subsequent review. For complex alarm situations, it has intelligent analysis capabilities, can associate scattered data points to form a complete event chain, and assist in decision-making.

[0174] The new integrated intelligent weighing and granulation unit control system of this embodiment breaks the old operation and maintenance mode and can achieve: quickly find and lock the fault location; quickly check the spare card and spare channel status; quickly identify potential loopholes and risks in the system; quickly locate the location and content of configuration modification; establish an integrated dynamic electronic ledger. Improve operation and maintenance efficiency and reduce time cost; unified management of alarms and operation records, and quick identification, analysis, and positioning.

[0175] Example 4

[0176] See also Figure 8 The embodiment of the present invention is a new integrated weighing and granulating intelligent unit, characterized by comprising:

[0177] A weighing and discharging device for weighing materials, a granulating device for granulating the weighed and discharging materials, and a new integrated weighing and granulating intelligent unit control system;

[0178] The new integrated weighing and granulation intelligent unit control system is the new integrated weighing and granulation intelligent unit control system described in any one of Embodiment 1, Embodiment 2 and Embodiment 3.

[0179] A new integrated weighing and granulating intelligent unit in this embodiment integrates the above-mentioned devices and the control system through AI, AO, DI, DO, and PI signals through hard wiring, so that the weighing and unloading device and the granulating device share a set of control systems, solving the problem of difficult data information exchange.

[0180] In the description of the present invention, it should be understood that the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0181] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0182] In the present invention, unless otherwise clearly specified and limited, when a first feature is “on” or “below” a second feature, it may be that the first and second features are in direct contact, or that the first and second features are in indirect contact through an intermediate medium. Moreover, when a first feature is “above”, “above” or “above” a second feature, it may be that the first feature is directly above or obliquely above the second feature, or it may simply mean that the first feature is higher in level than the second feature. When a first feature is “below”, “below” or “below” a second feature, it may be that the first feature is directly below or obliquely below the second feature, or it may simply mean that the first feature is lower in level than the second feature.

[0183] In the description of this specification, the description of the terms "one embodiment", "some embodiments", "embodiment", "example", "specific example" or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are contradictory.

[0184] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may alter, modify, replace and modify the above embodiments within the scope of the present invention.

Claims

1. A new integrated weighing and granulation intelligent unit control system, characterized in that: Used in the polyolefin production process, the new integrated weighing and granulation intelligent unit control system includes: Weighing and unloading control components are used to control the precise weighing and unloading of polyolefins during production; Extrusion granulation control components, used to control the granulation process in polyolefin production; The quality prediction management component is used to obtain the quality changes of material particles in the future and the corresponding improvement measures based on the real-time process parameters of the weighing and feeding control component and the extrusion granulation control component; Operation navigation component, used to guide the operation process of starting and stopping, license plate switching and emergency stop reset by means of pop-up window prompts, graphic color change and text description; System integrity components are used to assist in operation and maintenance guidance, and quickly and conveniently identify the cause of the fault; The improvement measures include adjusting the process parameters of the weighing and feeding component and the extrusion granulation control component.

2. The new integrated weighing and granulation intelligent unit control system according to claim 1 is characterized in that: The quality prediction management component includes: Data acquisition and processing module, used to obtain real-time production process data of weighing and feeding components and extrusion granulation control components; A data selection module is used to select and process the real-time production process data to obtain the processed real-time production process data; The data prediction and improvement module is used to input real-time production process data into the trained quality prediction model to predict future product quality changes and provide improvement measures; The quality prediction model includes: a main motor speed sub-model, a barrel heating data sub-model, a template hot oil temperature sub-model, a melting pump speed sub-model, a pelletizer speed sub-model, a pelletizing water temperature sub-model, and a weighing feed amount model.

3. The new integrated weighing and granulation intelligent unit control system according to claim 2 is characterized in that: The quality prediction management component also includes: A model training module, used to train the quality prediction model using a training data set to obtain a trained quality prediction model; The training data set includes historical production process data and quality changes during the production of material particles that have passed chemical testing.

4. The new integrated weighing and granulation intelligent unit control system according to claim 3 is characterized in that: The model training module is specifically used to input each data in the training data set into the quality prediction model for training until a preset regression loss function corresponding to the quality prediction model converges to obtain a trained quality prediction model.

5. The new integrated weighing and granulation intelligent unit control system according to claim 2 is characterized in that: The quality prediction model includes: Hidden layer feature extraction unit and decision determination unit; The hidden layer feature extraction unit is used to extract hidden layer features of production process data and basic parameters of material particles input into the quality prediction model; The decision logic determination unit is used to determine the final quality change of the material particles in the future and the corresponding improvement measures based on a preset decision tree algorithm.

6. The new integrated weighing and granulation intelligent unit control system according to claim 1 is characterized in that: The operation navigation component includes: Driving guidance program function unit, parking guidance program function unit, license plate switching program function unit and emergency stop reset guidance program function unit; The driving guidance program functional unit is integrated with a dedicated driving program for realizing one-key automatic driving; The parking guidance program functional unit is integrated with a dedicated parking program for realizing one-key automatic parking; The grade switching program functional unit is used to automatically select grades according to different grade characteristics and production working conditions; The emergency stop and reset guidance program functional unit is used to analyze the operation sequence and interlocking relationship after emergency stop, form an automated operation process, and perform automatic reset.

7. The new integrated weighing and granulation intelligent unit control system according to claim 1 is characterized in that: The system integrity components include: Instrument loop information, configuration information, electronic ledger information, spare card and channel information, system vulnerability information, and other information; The other information includes alarm information and operation record information.

8. A new integrated weighing and granulating intelligent unit, characterized in that: include: A weighing and discharging device for weighing materials, a granulating device for granulating the weighed and discharging materials, and a new integrated weighing and granulating intelligent unit control system; The new integrated weighing and granulation intelligent unit control system is the new integrated weighing and granulation intelligent unit control system as described in any one of claims 1 to 7.

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