A glass fiber chopped strand mat quality precise tracing digitalization control system

Abstract

The application discloses a kind of glass fiber chopped strand mat mass precision traceability digitalization management and control system, including raw material information recording module, raw material information identification module, workshop environment monitoring module, product quality early warning module, operation safety early warning module, product quality online monitoring module, product quality online adjustment module, operation safety online adjustment module, finished product information recording module, finished product inspection module communication and digitalization management and control platform.System is collected, recorded, monitored to raw material, finished product and workshop environment data, online product quality information etc., provides information support for glass fiber chopped strand mat quality traceability, judges in advance and timely early warning to product quality risk and workshop operation safety risk, adjusts environment condition and online automatic adjustment to product quality problem are online rectification, and the high-risk environment risk that influences personnel operation safety is online excluded.The system reduces workshop defective rate, and guarantees safe production.

Description

Technical Field

[0001] This invention belongs to the field of intelligent production control technology, specifically relating to a digital intelligent control system for precise traceability of glass fiber chopped strand mat quality. Background Technology

[0002] Currently, there is no mature intelligent production control system in the production of chopped strand mat (CSSM). There is no information technology to support the supervision of the production process and the traceability of product quality. There is also no closed-loop management system from raw materials to finished products. This leads to the problem of delayed quality feedback in the production of CSSM and makes it easy for batches of defective products to occur.

[0003] In addition, the production workshop for chopped strand mat of fiberglass has a special environment. Some environmental indicators not only affect the quality of semi-finished products on the production line, but also pose a threat to the health and safety of personnel.

[0004] Currently, there is no mature experience to help companies make early judgments and timely warnings about product quality risks and workshop operation safety risks in the production of chopped strand mat. Companies lack effective online automatic quality adjustment measures and online elimination measures for high-risk environmental risks. Summary of the Invention

[0005] To address the problems raised in the background technology, this invention proposes a digital intelligent management and control system for precise traceability of glass fiber chopped strand mat quality.

[0006] The technical solution of the present invention is as follows:

[0007] A digital and intelligent quality control system for precise traceability of chopped strand mat (CSM) includes:

[0008] The raw material information recording module records the basic information of glass fiber filament raw materials, generates raw material identification tags, and uploads the recorded basic information of glass fiber filament raw materials to the system server.

[0009] The raw material information identification module obtains basic information about the glass fiber filament raw material being used in production by reading the raw material identification tag.

[0010] The workshop environment monitoring module simultaneously monitors workshop environmental data that affect the quality of chopped strand mat products and the safety of workshop operations through environmental element sensors.

[0011] The product quality early warning module provides early warnings for abnormal environmental data that may affect product quality based on the workshop environmental data monitored by the workshop environmental monitoring module.

[0012] The work safety early warning module provides early warnings for abnormal environmental data that may affect work safety in the workshop, based on the workshop environmental data monitored by the workshop environmental monitoring module.

[0013] The product quality online monitoring module monitors the quality of chopped strand mat on the production line online through quality element sensors.

[0014] The online product quality adjustment module adjusts the workshop environment based on abnormal environmental data affecting product quality detected by the workshop environment monitoring module, and also directly adjusts the product quality based on abnormalities detected by the online product quality monitoring module.

[0015] The online operation safety adjustment module adjusts the workshop environment based on abnormal environmental data affecting workshop operation safety monitored by the workshop environment monitoring module.

[0016] The finished product information recording module records the basic information of the finished glass fiber chopped strand mat that comes off the production line, generates a finished product identification label, and uploads the recorded basic information of the finished glass fiber chopped strand mat to the system server. The basic information of the finished product uploaded to the system server includes at least the raw material information corresponding to the finished product and the production process monitoring data.

[0017] The finished product quality inspection module inspects the finished glass fiber chopped strand mat and uploads the finished product quality inspection data to the system server.

[0018] The intelligent management and control platform communicates with the raw material information recording module, raw material information identification module, workshop environment monitoring module, product quality early warning module, work safety early warning module, product quality online monitoring module, product quality online adjustment module, work safety online adjustment module, finished product information recording module, and finished product quality inspection module. The intelligent management and control platform includes a display control system and a system server.

[0019] Preferably, in the above-mentioned intelligent management and control system for precise traceability of chopped strand mat quality, the raw material identification label and / or finished product identification label adopt RFID tags.

[0020] Preferably, in the above-mentioned intelligent control system for precise traceability of chopped strand mat quality, the environmental element sensor includes at least one of a temperature sensor, a humidity sensor, a suspended matter sensor, and a gas sensor, and more preferably multiple sensors.

[0021] Preferably, in the above-mentioned intelligent control system for precise traceability of chopped strand mat quality, at least one environmental element sensor can simultaneously monitor the same workshop environmental data that affects both the quality of chopped strand mat products and the safety of workshop operations.

[0022] Preferably, in the above-mentioned intelligent control system for precise traceability of chopped strand mat quality, the quality element sensor includes at least one of a concentration sensor and a vision sensor, and more preferably multiple sensors.

[0023] Preferably, in the above-mentioned intelligent control system for precise traceability of chopped strand mat quality, the product quality early warning module and / or the operation safety early warning module adopt dual alarm signals of sound and vision.

[0024] Preferably, in the above-mentioned intelligent control system for precise traceability of chopped strand mat quality, the product quality early warning module and the work safety early warning module issue early warnings based on different data thresholds for the same workshop environment data monitored by a certain type of environmental element sensor.

[0025] Preferably, in the above-mentioned intelligent control system for precise traceability of chopped strand mat quality, the online product quality adjustment module and the online work safety adjustment module adjust the workshop environment based on different data thresholds for the same workshop environment data monitored by a certain environmental element sensor.

[0026] Preferably, in the above-mentioned intelligent control system for precise traceability of chopped strand mat quality, the production process monitoring data includes the workshop environment data of the entire production process of the finished chopped strand mat monitored by the workshop environment monitoring module.

[0027] Preferably, in the above-mentioned intelligent control system for precise traceability of glass fiber chopped strand mat quality, the finished product quality inspection data includes at least one of mechanical property data and weather resistance data, and more preferably multiple data.

[0028] The present invention achieves the following technical effects:

[0029] The intelligent digital management system for precise traceability of chopped strand mat quality proposed in this invention collects, records, and monitors data on raw materials, finished products, workshop environment, and online product quality information. This not only provides information support for precise traceability of chopped strand mat quality but also enables early judgment and timely warning of product quality risks and workshop operation safety risks. Through environmental condition adjustment and online automatic adjustment, it can rectify product quality problems online and eliminate high-risk environmental risks affecting personnel safety online. This significantly reduces the defect rate in the workshop, ensures safe production, controls the cost of the entire chopped strand mat production process, and promotes paperless office and personnel streamlining. Attached Figure Description

[0030] Figure 1 A schematic diagram illustrating the structural principle of the intelligent digital control system for precise traceability of glass fiber chopped strand mat quality provided in this embodiment of the invention.

[0031] Figure 2 Example 1 of an online product quality adjustment scheme provided in this embodiment of the invention.

[0032] Figure 3 Example 2 of an online product quality adjustment scheme provided in this embodiment of the invention.

[0033] The meanings of the labels in the attached figures are as follows:

[0034] Work-in-process - 1, filament feeder - 2, floating filament supplementer - 3, vision sensor - 4, adhesive sprayer - 5, heating furnace - 6, pressure roller - 7, transparent roller - 8. Detailed Implementation

[0035] Example 1

[0036] See Figure 1 This embodiment provides a digital and intelligent management and control system for precise traceability of glass fiber chopped strand mat quality, which includes a raw material information recording module, a raw material information identification module, a workshop environment monitoring module, a product quality early warning module, an operation safety early warning module, a product quality online monitoring module, a product quality online adjustment module, an operation safety online adjustment module, a finished product information recording module, and a finished product quality inspection module, which communicate with and are connected to a digital and intelligent management and control platform.

[0037] The digital management and control platform is the core of the system's operation and control, and includes a display control system and a system server.

[0038] The following is combined with Figure 1 A detailed explanation of the functions and working principles of each module:

[0039] Raw material information recording module

[0040] The raw material information recording module records basic information about glass fiber filament raw materials, generates raw material identification tags, and uploads the recorded basic information to the system server. This module is the primary measure for raw material quality traceability. It records basic information such as raw material batch, manufacturer, and acceptance / quality inspection data using RFID tags and uploads this information to the system server for retrieval and use during production.

[0041] Raw material information identification module

[0042] The raw material information identification module obtains basic information about the glass fiber filament raw materials being used in production by reading the raw material identification tag.

[0043] Workshop Environmental Monitoring Module

[0044] The workshop environment monitoring module uses environmental element sensors to simultaneously monitor workshop environmental data that affect the quality of chopped strand mat products and the safety of workshop operations.

[0045] The production workshop for chopped strand mat (CSM) has a unique environment. Some environmental indicators not only affect the quality of semi-finished products on the production line, but also pose a threat to the health and safety of personnel. These include high-temperature radiation, suspended matter, and toxic or harmful gases. Therefore, this embodiment uses environmental element sensors to comprehensively monitor workshop environmental data that affect the quality of CSM products and the safety of workshop operations. These sensors include temperature sensors, humidity sensors, suspended matter sensors, and at least one gas sensor. The gas sensor mainly monitors specific toxic or harmful gases volatilized from chemical raw materials such as binders, such as sulfur-containing gases, nitrogen-containing gases, or aldehyde-containing volatiles.

[0046] The combination of the above-mentioned sensors is preferred rather than limiting. At least one of the above-mentioned environmental element sensors can simultaneously monitor the same workshop environmental data that affects the quality of glass fiber chopped strand mat products and the safety of workshop operations. For example, when high temperature radiation reaches a certain level, it not only causes harm to the human body, but also affects the physical and chemical properties of glass fiber by indirectly affecting environmental conditions such as air humidity, thereby affecting the quality of finished products.

[0047] Product quality early warning module

[0048] The product quality early warning module provides early warnings for abnormal environmental data that may affect product quality based on the workshop environmental data monitored by the workshop environmental monitoring module.

[0049] The product quality early warning module described here uses both sound and visual alarm signals.

[0050] Operational safety early warning module

[0051] The work safety early warning module provides early warnings for abnormal environmental data that may affect work safety in the workshop, based on the workshop environmental monitoring data monitored by the workshop environmental monitoring module.

[0052] The work safety early warning module described here also uses both sound and visual alarm signals.

[0053] As described above, at least one environmental element sensor can simultaneously monitor the same workshop environmental data that affects both the quality of chopped strand mat products and the safety of workshop operations. Therefore, the product quality early warning module and the work safety early warning module can issue early warnings based on different data thresholds for the same workshop environmental data monitored by a certain environmental element sensor.

[0054] Online Product Quality Monitoring Module

[0055] The product quality online monitoring module uses quality element sensors to monitor the quality of chopped strand mat on the production line online.

[0056] The difference between quality element sensors and the environmental element sensors mentioned earlier is that, compared to the indirect nature of environmental elements, quality element sensors monitor indicators that can directly reflect the real-time quality of the product. Examples include concentration sensors that monitor adhesive concentration and vision sensors that monitor the quality of felt laying.

[0057] Online Product Quality Adjustment Module

[0058] The product quality online adjustment module adjusts the workshop environment based on abnormal environmental data affecting product quality detected by the workshop environment monitoring module, and directly adjusts the product quality based on abnormalities detected by the product quality online monitoring module.

[0059] Based on abnormal environmental data affecting product quality monitored by the workshop environment monitoring module, the workshop environment is adjusted. For example, in order to reduce the impact of high temperature in the production line environment on product quality, the workshop ventilation and heat dissipation equipment is automatically operated until the production line environment temperature drops to a reasonable value.

[0060] The system can make direct adjustments based on product quality anomalies detected by the online product quality monitoring module. For example, it can automatically adjust the raw material ratio to change the adhesive concentration or add floating wires to improve the felting quality.

[0061] The specific means of the two direct adjustment methods mentioned above can be as follows: the concentration sensor directly monitors the binder concentration and feeds back the binder concentration information to the control system; the binder preparation system is controlled by the control system; when the binder concentration does not meet the requirements, the control system changes the proportion of one or more raw materials by operating the binder preparation system, thereby adjusting the binder concentration to a reasonable range.

[0062] There are two working methods for floating wire supplementation based on vision sensor signals, which can be selected according to the conditions of the workshop production line. Firstly Figure 2 The diagram shows the floating yarn replenishment method with the floating yarn replenisher 3 positioned in front. On this production line, the floating yarn replenisher 3 is set on one side of the yarn feeder 2. The vision sensor 4, which monitors the felting quality, performs visual inspection on the work-in-process 1 pressed by the pressure roller 7. The system identifies the felting quality of the work-in-process 1 by analyzing the images collected by the vision sensor 4, and controls the operation of the floating yarn replenisher 3 based on the identified quality information (density distribution) to improve the product quality of the rear part. The floating yarn replenisher 3 can selectively float and feed yarn along the width direction of the work-in-process 1, that is, replenish yarn in the missing or insufficient yarn parts that need to be replenished.

[0063] Figure 3 The diagram shows a floating yarn feeding method with the vision sensor 4 positioned in front. On this production line, the vision sensor 4 is located upstream of the floating yarn feeder 3. This requires adjusting the equipment spacing. A set of transparent rollers 8 is installed between the yarn feeder 2 and the floating yarn feeder 3. The field of view of the vision sensor 4 is directly facing the transparent rollers 8. The system performs visual inspection on the unbonded felt passing through the transparent rollers 8. The system identifies the quality of the unbonded felt by analyzing the image acquired by the vision sensor 4 and controls the operation of the floating yarn feeder 3 based on the identified quality information (density distribution).

[0064] Online adjustment module for work safety

[0065] The online work safety adjustment module adjusts the workshop environment based on abnormal environmental data affecting work safety detected by the workshop environment monitoring module.

[0066] Based on abnormal environmental data affecting workshop operation safety monitored by the workshop environment monitoring module, the workshop environment is adjusted. For example, in order to reduce the radiation to the human body caused by the high temperature of the production line environment or the concentration of a certain harmful aldehyde-containing volatile substance, the ventilation and heat dissipation equipment in the workshop is automatically operated until the production line environment temperature or the concentration of the aldehyde-containing volatile substance is reduced to a reasonable value.

[0067] Finished Product Information Recording Module

[0068] The finished product information recording module records the basic information of the finished glass fiber chopped strand mat that comes off the production line, generates a finished product identification label, and uploads the recorded basic information of the finished glass fiber chopped strand mat to the system server.

[0069] The basic information of the finished product uploaded to the system server here includes at least the raw material information corresponding to the finished product and the production process monitoring data. The finished product identification tag can still be the RFID tag described earlier. The raw material information corresponding to the finished product can be directly linked to the basic information identified when the glass fiber filament raw material is introduced into the production line via a timer. The production process monitoring data includes at least the workshop environmental data monitored by the workshop environmental monitoring module throughout the entire production process of the glass fiber chopped strand mat, for the purpose of accurate quality traceability and analysis.

[0070] Finished Product Inspection Module

[0071] The finished product quality inspection module performs quality inspection on the finished glass fiber chopped strand mat and uploads the finished product quality inspection data to the system server.

[0072] The finished product inspection module here mainly tests quality items that cannot be detected online, such as mechanical properties and weather resistance. Therefore, the finished product inspection data includes at least one of mechanical property data and weather resistance data, and multiple data are preferred.

[0073] In this embodiment, the aforementioned raw material information recording module, raw material information identification module, workshop environment monitoring module, product quality early warning module, work safety early warning module, product quality online monitoring module, product quality online adjustment module, work safety online adjustment module, finished product information recording module, and finished product quality inspection module all communicate with the digital intelligent management and control platform. The digital intelligent management and control platform includes a display control system and the aforementioned system server. Through the interconnection of each functional module and the digital intelligent management and control platform, the display control system (or simply control system) controls the operation of each module. By collecting, recording, and monitoring data on raw materials, finished products, workshop environment, and online product quality information, it provides information support for the accurate traceability of glass fiber chopped strand mat quality, realizes the early judgment and timely warning of product quality risks and workshop work safety risks, and performs online rectification of product quality problems through environmental condition adjustment and online automatic adjustment, and eliminates high-risk environmental risks that affect personnel work safety online.

[0074] Therefore, the technical effects of the embodiments of the present invention are not only to greatly reduce the defect rate in the workshop and ensure safe production, but also to control the cost of the entire production process of chopped strand mat of glass fiber, and promote paperless office and staff reduction.

[0075] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention.

Claims

1. A digital intelligent control system for precise quality traceability of chopped strand mat, characterized in that, include: The raw material information recording module records the basic information of glass fiber filament raw materials, generates raw material identification tags, and uploads the recorded basic information of glass fiber filament raw materials to the system server. The raw material information identification module obtains basic information about the glass fiber filament raw materials being used in production by reading the raw material identification tags. The workshop environment monitoring module uses environmental element sensors to simultaneously monitor workshop environmental data that affect the quality of chopped strand mat products and the safety of workshop operations. The product quality early warning module provides early warnings for abnormal environmental data that may affect product quality based on the workshop environmental data monitored by the workshop environmental monitoring module. The work safety early warning module provides early warnings for abnormal environmental data that may affect work safety in the workshop, based on the workshop environmental monitoring data monitored by the workshop environmental monitoring module. The product quality online monitoring module monitors the quality of chopped strand mat on the production line online through quality element sensors; The online product quality adjustment module adjusts the workshop environment based on abnormal environmental data affecting product quality detected by the workshop environment monitoring module, and directly adjusts the product quality based on abnormalities detected by the online product quality monitoring module. Direct adjustments include floating yarn feeding, where the floating yarn feeder is located on one side of the yarn feeder. A vision sensor monitoring the felt-laying quality visually inspects the work-in-process pressed by the pressure rollers. The system analyzes the images collected by the vision sensor to identify the felt-laying quality of the work-in-process and controls the floating yarn feeder based on the identified quality information to improve the product quality in the rear section. The floating yarn feeder can selectively float yarn along the width direction of the work-in-process. Alternatively, a vision sensor is located upstream of the floating yarn feeder, and a set of transparent rollers is installed between the yarn feeder and the floating yarn feeder. The vision sensor's field of view is directly facing the transparent rollers, visually inspecting the unbonded felt passing through them. The system analyzes the images collected by the vision sensor to identify the unbonded felt-laying quality and controls the floating yarn feeder based on the identified quality information. The online work safety adjustment module adjusts the workshop environment based on abnormal environmental data affecting work safety monitored by the workshop environment monitoring module. The finished product information recording module records the basic information of the finished glass fiber chopped strand mat that comes off the production line, generates a finished product identification label, and uploads the recorded basic information of the finished glass fiber chopped strand mat to the system server. The basic information of the finished product uploaded to the system server includes at least the raw material information corresponding to the finished product and the production process monitoring data. The finished product quality inspection module inspects the finished glass fiber chopped strand mat and uploads the finished product quality inspection data to the system server; The digital management and control platform communicates with the raw material information recording module, raw material information identification module, workshop environment monitoring module, product quality early warning module, operation safety early warning module, product quality online monitoring module, product quality online adjustment module, operation safety online adjustment module, finished product information recording module, and finished product quality inspection module. It includes a display control system and a system server.

2. The system according to claim 1, characterized in that, The raw material identification tags and / or finished product identification tags are RFID tags.

3. The system according to claim 1, characterized in that, The environmental element sensor includes at least one of a temperature sensor, a humidity sensor, a suspended matter sensor, and a gas sensor.

4. The system according to claim 1, characterized in that, At least one environmental element sensor can simultaneously monitor the same workshop environmental data that affects both the quality of chopped strand mat products and the safety of workshop operations.

5. The system according to claim 1, characterized in that, The quality element sensors include concentration sensors.

6. The system according to claim 1, characterized in that, The product quality early warning module and / or operation safety early warning module use both sound and visual alarm signals.

7. The system according to claim 1 or 4, characterized in that, The product quality early warning module and the work safety early warning module issue early warnings based on different data thresholds for the same workshop environment data monitored by a certain type of environmental element sensor.

8. The system according to claim 7, characterized in that, The product quality online adjustment module and the work safety online adjustment module adjust the workshop environment based on different data thresholds for the same workshop environment data monitored by a certain environmental element sensor.

9. The system according to claim 1, characterized in that, The production process monitoring data includes the workshop environment data monitored by the workshop environment monitoring module throughout the entire production process of the finished glass fiber chopped strand mat.

10. The system according to claim 1, characterized in that, The finished product quality inspection data includes at least one of mechanical property data and weather resistance data.

Images