An automatic material conveying control system that saves electricity consumption

Abstract

The present invention discloses an automatic material conveying control system that saves electric energy consumption, and specifically relates to the field of feeding technology. The present invention adopts a feeding system, a humidity detection module, a data calculation unit, a central processing unit, a visualization unit, a drying control unit and a data acquisition unit. The humidity detection module detects the humidity of raw materials in the feeding system, and the data calculation unit calculates the working parameters of the dryer required for normal drying time under the humidity of the raw materials through a neural network calculation model, and adjusts the working parameters of the dryer through the drying control unit. At the same time, the time point of material shortage in the molding operation is calculated in combination with the batch and quantity of the product to be processed and the molding time of the molding terminal, and the time of the refilling operation is prompted to the staff in advance. The drying time of raw materials with different humidity levels can be guaranteed to be the same to a certain extent, the refilling operation can be guaranteed to be carried out in time, the continuity between the loading step and the molding step can be achieved, and the overall processing progress can be guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of material feeding, and more particularly to an automatic material conveying control system capable of saving electric energy consumption. Background Art

[0002] The centralized feeding system utilizes a one-machine, one-pipe, sealed-loop design to ensure stable operation of the entire system, preventing plastic rewetting and material blockage. Used in conjunction with a central dryer (dehumidifier) ​​system, dry air re-dries the raw materials, preventing rewetting of the dried plastic. The delivery pipe is cleaned after each conveying cycle to ensure there is no residual material in the pipeline. This prevents rewetting while also ensuring the consistency of the raw materials fed into the injection molding machine. Under the simultaneous action of vacuum and negative pressure, any dust in the raw materials is filtered out through a filter (dust collector) system, which improves product quality. The centralized feeding system can control one or more vacuum pumps to simultaneously feed the injection molding machine, and also provides real-time monitoring of the system's external signals, operating status, and potential faults. The visual touchscreen human-machine interface is simple to operate and powerful, significantly improving system automation and conserving energy.

[0003] Centralized feeding systems centrally store or stack raw materials and collect dust, away from production and processing sites. This significantly improves working conditions near the main machine, creating a clean and tidy production environment and ensuring that raw materials are not contaminated. Single machines require more space to store raw materials, resulting in disorganized placement and the risk of errors when adding them. Dust cannot be collected centrally. Centralized feeding systems also reduce the number of workers needed to add materials, eliminating the need for manual handling of raw materials, thus reducing labor intensity.

[0004] When raw materials are centrally fed, dehumidification and drying, if required, are also handled centrally, ensuring that the materials are protected from moisture during transport and reducing overall electrical heating power. The material conveyor system is enclosed, and the amount of material used by the injection molding machine can be controlled. If the workshop is air-conditioned, centralized processing prevents heat from dissipating into the workshop, unaffecting the ambient temperature. For single-machine conveying, all drying operations can be placed next to the main machine, releasing heat directly into the workshop. Centralized feeding allows for the transport of a variety of different raw materials, allowing for the rational allocation of processed materials according to pre-set types and rapid material switching. Single-machine conveying does not allow for selective switching of raw materials, requiring only a one-to-one supply system with no selection.

[0005] Centralized feeding uses a centralized processing and supply method for raw materials, which can save electricity consumption. However, when the raw materials are dried, the drying process mode of the dryer is relatively simple. Due to different humidity levels, the drying time required for the raw materials under the same drying conditions is different. The time spent in the subsequent raw material molding process is fixed, which may affect the continuity of the raw material loading and molding steps. The control method of the feeding operation mostly adopts manual control after the staff observes the lack of material signal to perform the feeding operation, resulting in a loose connection between the lack of material and the feeding operation, resulting in certain deficiencies in the overall feeding process. Therefore, a material conveying automation control system that saves electricity consumption is needed to solve the above problems. Summary of the Invention

[0006] In order to overcome the above-mentioned defects of the prior art, the present invention provides an automatic material conveying control system that saves electricity consumption. The technical problem to be solved by the present invention is: when the raw materials are being dried, the drying process mode of the dryer for the raw materials is relatively single. The drying time required for the raw materials themselves under the same drying conditions is different due to different humidity, and the time consumed in the subsequent raw material molding process is fixed, which may affect the continuity of the raw material loading step and the molding step. The control method mostly adopts manual control to perform the material replenishment operation after the staff observes the material shortage signal, resulting in insufficient connection between the material shortage and material replenishment operations, resulting in certain deficiencies in the overall feeding process.

[0007] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an automatic material conveying control system that saves electric energy consumption, comprising a central processing unit, the output end of the central processing unit is electrically connected to the input end of the feeding system, the output end of the feeding system is electrically connected to the input end of the forming terminal, the output end of the feeding system is electrically connected to the input end of the data acquisition unit and the humidity detection module, the output end of the forming terminal is electrically connected to the input end of the interrupt status detection module, the output ends of the data acquisition unit, the humidity detection module and the terminal status detection module are all electrically connected to the input end of the central processing unit, and the output end of the central processing unit is electrically connected to the input end of the data storage unit.

[0008] The output end of the data storage unit is electrically connected to the input end of the data calculation unit, the output end of the data calculation unit is electrically connected to the input end of the feedback unit, the output end of the feedback unit is electrically connected to the input end of the central processing unit, the output end of the central processing unit is electrically connected to the input end of the data transmission unit, the output end of the data transmission unit is electrically connected to the input end of the visualization unit, the output end of the data transmission unit is electrically connected to the input end of the warning unit, and the data transmission unit is communicatively connected to the remote mobile terminal via a 4G network.

[0009] The input end of the central processing unit is electrically connected to the output end of the detection unit, the input end of the detection unit is electrically connected to the output end of the feeding system and the molding terminal, the central processing unit is bidirectionally connected to the circuit opening and closing module, the input end of the circuit opening and closing module is electrically connected to the output end of the power supply module, the output end of the central processing unit is electrically connected to the input end of the drying control unit, the output end of the drying control unit is electrically connected to the input end of the feeding system, and the output end of the central processing unit is electrically connected to the input end of the data calculation unit.

[0010] As a further solution of the present invention: the data storage unit includes an information input unit, the output end of the information input unit is electrically connected to the input end of the database, the output end of the database is electrically connected to the input end of the matching unit, the information input unit is used for the user to input the model, product quantity, product yield, product molding consumables and product molding speed information of the same batch of products to be molded, the database is used to store data on product molding processing projects, and the matching unit is used to match historical product molding processing projects that are similar to the product project to be molded.

[0011] As a further solution of the present invention: the circuit opening and closing module includes a manual opening and closing unit and an automatic opening and closing unit, which are used to control the opening and closing of the power supply circuit and to disconnect the circuit when a fault occurs in the feeding system or the molding terminal.

[0012] As a further solution of the present invention: the detection unit includes a current detection module and a voltage detection module. The current detection module is used to detect the current when the feeding system and the molding terminal are working, and the voltage detection module is used to detect the voltage when the feeding system and the molding terminal are working.

[0013] As a further solution of the present invention: the humidity detection module is used to detect the humidity of the raw materials in the feeding system and send the humidity detection data to the central processing unit;

[0014] The drying control unit is used to adjust the parameters of the dryer in the feeding system when it is working;

[0015] The data calculation unit is used to analyze and predict data using a neural network calculation model. In the initial stage of establishment, the neural network calculation model is trained using data of completed product forming and processing projects with similar characteristics matched by the matching unit. After the training is completed, the model is tested using data of completed product forming and processing projects with similar characteristics. After a mature neural network calculation model is obtained, the model is analyzed and predicted.

[0016] The terminal status detection module is used to detect whether the forming terminal is in a full-load state during operation and the specific parameter data of the operation process;

[0017] The power supply module is used to supply power to the central processing unit, the feeding system and the molding terminal.

[0018] As a further solution of the present invention: the data processed by the neural network calculation model include raw material humidity, molding terminal consumables, product quantity and molding speed of the molding terminal. The time required at normal drying temperature is calculated according to the raw material humidity, and the parameters of its working process are adjusted in combination with the basic data of the dryer to achieve the shortest time to complete drying; the total amount of raw materials required in a working day and the speed of raw material loading are calculated according to the molding terminal consumables, product quantity and molding speed, and the minimum total amount of consumables required to obtain the corresponding number of finished products is calculated in combination with the yield of the product molding process, and the time when material shortage occurs after one loading is calculated.

[0019] As a further solution of the present invention: the warning unit includes a warning light and a warning bell, the warning bell is used to emit a warning sound when abnormal information occurs, and the warning light is used to emit a warning light when abnormal information occurs to alert staff;

[0020] The visualization unit is used to display the results obtained by the neural network calculation model and integrate the calculation results into a chart for presentation;

[0021] The remote mobile terminal is used to wirelessly receive and view warning information and work data through the 4G network.

[0022] The beneficial effects of the present invention are:

[0023] 1. The present invention adopts a feeding system, a humidity detection module, a data calculation unit, a central processing unit, a visualization unit, a drying control unit and a data acquisition unit. After the data acquisition unit completes data acquisition of the feeding system, the humidity detection module detects the humidity of the raw materials in the feeding system in combination with the model, product quantity, product yield, product molding consumables amount and product molding speed information of the same batch of products to be molded in the data storage unit. The data calculation unit calculates the working parameters of the dryer required for normal drying time under the humidity of the raw materials through a neural network calculation model, and adjusts the working parameters of the dryer through the drying control unit. At the same time, the time point of material shortage in the molding operation is calculated in combination with the batch and quantity of the products to be processed and the molding time of the molding terminal, and the staff is prompted in advance to refill the material. To a certain extent, the drying time of raw materials with different humidity levels can be guaranteed to be the same, the refilling operation can be guaranteed to be carried out in time, the continuity between the loading step and the molding step can be ensured, and the overall processing progress can be guaranteed.

[0024] 2. The present invention adopts a database, a matching unit and a data calculation unit. The matching unit matches similar completed forming processing projects in the database according to the characteristics of the required forming processing projects, and uses similar project data to train and test the neural network calculation model to make the calculation results of the neural network calculation model more accurate. Combined with the required forming processing project information and the yield rate of the forming steps, the minimum total amount of consumables required to obtain the corresponding number of finished products is calculated, avoiding the situation where the total amount of raw materials occupies too much production space and the lack of raw materials affects production and processing, thereby ensuring that the production process is accurate and efficient.

[0025] 3. The present invention adopts a remote mobile terminal and a visualization unit. The remote mobile terminal and the data transmission unit are wirelessly connected through the 4G network, which makes it convenient for the staff to timely understand the working conditions of the feeding system and the molding terminal through the remote mobile terminal when they are not in the working area, and facilitates timely understanding and handling of problems that arise, thereby achieving timeliness in handling problems. The visualization unit displays the calculation results and the working conditions of the feeding system, and integrates the calculation results into charts for presentation, so that the staff can intuitively understand the changing trends of the charts and data. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a schematic diagram of the connection structure of the present invention. DETAILED DESCRIPTION

[0027] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0028] As shown in the figure, the present invention provides a material conveying automation control system that saves electricity consumption, including a central processing unit, the output end of the central processing unit is electrically connected to the input end of the feeding system, the output end of the feeding system is electrically connected to the input end of the forming terminal, the output end of the feeding system is electrically connected to the input end of the data acquisition unit and the humidity detection module, the output end of the forming terminal is electrically connected to the input end of the interrupt status detection module, the output ends of the data acquisition unit, the humidity detection module and the terminal status detection module are all electrically connected to the input end of the central processing unit, and the output end of the central processing unit is electrically connected to the input end of the data storage unit.

[0029] The output end of the data storage unit is electrically connected to the input end of the data calculation unit, the output end of the data calculation unit is electrically connected to the input end of the feedback unit, the output end of the feedback unit is electrically connected to the input end of the central processing unit, the output end of the central processing unit is electrically connected to the input end of the data transmission unit, the output end of the data transmission unit is electrically connected to the input end of the visualization unit, the output end of the data transmission unit is electrically connected to the input end of the warning unit, and the data transmission unit is communicatively connected to the remote mobile terminal via the 4G network.

[0030] The input end of the central processing unit is electrically connected to the output end of the detection unit, the input end of the detection unit is electrically connected to the output ends of the feeding system and the forming terminal, the central processing unit is bidirectionally connected to the circuit opening and closing module, the input end of the circuit opening and closing module is electrically connected to the output end of the power supply module, the output end of the central processing unit is electrically connected to the input end of the drying control unit, the output end of the drying control unit is electrically connected to the input end of the feeding system, and the output end of the central processing unit is electrically connected to the input end of the data calculation unit.

[0031] The data storage unit includes an information input unit, the output end of the information input unit is electrically connected to the input end of the database, and the output end of the database is electrically connected to the input end of the matching unit. The information input unit is used for users to input the model, product quantity, product yield, product molding consumables and product molding speed information of the same batch of products that need to be molded. The database is used to store data on product molding processing projects, and the matching unit is used to match historical product molding processing projects that are similar to the product projects to be molded.

[0032] The circuit opening and closing module includes a manual opening and closing unit and an automatic opening and closing unit. The manual opening and closing unit and the automatic opening and closing unit are used to control the opening and closing of the power supply circuit and to disconnect the circuit when a fault occurs in the feeding system or the molding terminal.

[0033] The detection unit includes a current detection module and a voltage detection module. The current detection module is used to detect the current when the feeding system and the molding terminal are working, and the voltage detection module is used to detect the voltage when the feeding system and the molding terminal are working.

[0034] The humidity detection module is used to detect the humidity of the raw materials in the feeding system and send the humidity detection data to the central processing unit;

[0035] The drying control unit is used to adjust the working parameters of the dryer in the feeding system;

[0036] The data calculation unit is used to analyze and predict data using a neural network calculation model. In the initial stage of the establishment of the neural network calculation model, the data of completed product forming and processing projects with similar characteristics in the history matched by the matching unit are used for training. After the training is completed, the data of completed product forming and processing projects with similar characteristics are used for verification. After the mature neural network calculation model is obtained, the data is analyzed and predicted.

[0037] The terminal status detection module is used to detect whether the forming terminal is in a full-load state and the specific parameter data of the operation process;

[0038] The power module is used to supply power to the central processing unit, feeding system and molding terminal.

[0039] The data processed by the neural network calculation model include raw material humidity, terminal consumables, product quantity and terminal forming speed. The time required at normal drying temperature is calculated based on the raw material humidity, and the parameters of its working process are adjusted in combination with the basic data of the dryer to achieve the shortest time to complete drying; the total amount of raw materials required in a working day and the speed of raw material feeding are calculated based on the terminal consumables, product quantity and forming speed, and the minimum total amount of consumables required to obtain the corresponding number of finished products is calculated in combination with the yield of the product forming process. At the same time, the time when material shortage occurs after one loading is calculated.

[0040] The warning unit includes a warning light and a warning bell. The warning bell is used to emit a warning sound when abnormal information occurs, and the warning light is used to emit a warning light when abnormal information occurs to remind the staff;

[0041] The visualization unit is used to display the results obtained by the neural network calculation model and integrate the calculation results into charts for presentation;

[0042] The remote mobile terminal is used to wirelessly receive and view warning information and working data via the 4G network.

[0043] The present invention adopts a feeding system, a humidity detection module, a data calculation unit, a central processing unit, a visualization unit, a drying control unit and a data acquisition unit. After the data acquisition unit completes data acquisition of the feeding system, the humidity detection module detects the humidity of the raw materials in the feeding system in combination with the model, product quantity, product yield, product molding consumables and product molding speed information of the same batch of products to be molded in the data storage unit. The data calculation unit uses a neural network calculation model to ensure the working parameters of the dryer required for normal drying time under the humidity of the raw materials, and adjusts the working parameters of the dryer through the drying control unit. At the same time, the time point of material shortage in the molding operation is calculated in combination with the batch and quantity of the products to be processed and the molding time of the molding terminal, and the staff is prompted in advance to the time of the refilling operation. To a certain extent, the drying time of raw materials with different humidity can be guaranteed to be the same, the timely implementation of the refilling operation can be guaranteed, the continuity between the loading step and the molding step can be achieved, and the overall processing progress can be guaranteed.

[0044] The present invention adopts a database, a matching unit and a data calculation unit. The matching unit matches similar completed forming processing projects in the database according to the characteristics of the required forming processing projects, and uses similar project data to train and test the neural network calculation model, so that the calculation results of the neural network calculation model are more accurate. Combined with the required forming processing project information and the yield rate of the forming steps, the minimum total amount of consumables required to obtain the corresponding number of finished products is calculated, avoiding the situation where the total amount of raw materials occupies too much production space and the lack of raw materials affects production and processing, thereby ensuring that the production process is accurate and efficient.

[0045] The present invention adopts a remote mobile terminal and a visualization unit, and the remote mobile terminal and the data transmission unit are wirelessly connected through the 4G network, so that the staff can timely understand the working conditions of the feeding system and the molding terminal through the remote mobile terminal when they are not in the working area, and it is convenient to timely understand and deal with problems that arise, so as to achieve timeliness in problem handling. The visualization unit displays the calculation results and the working conditions of the feeding system, and integrates the calculation results into a chart for presentation, so that the staff can intuitively understand the changing trends of the charts and data.

[0046] Finally, a few points should be explained: Although the present invention has been described in detail above with general descriptions and specific embodiments, on the basis of the present invention, the above embodiments are only used to illustrate the technical solution of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the aforementioned embodiments, ordinary technicians in this field should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some or all of the technical features therein; and these modifications or replacements do not cause the essence of the corresponding technical solution to deviate from the scope of the technical solution of the embodiments of the present invention.

Claims

1. An automatic material conveying control system for saving power consumption, comprising a central processing unit, characterized in that: The output end of the central processing unit is electrically connected to the input end of the feeding system, the output end of the feeding system is electrically connected to the input end of the molding terminal, the output end of the feeding system is electrically connected to the input end of the data acquisition unit and the humidity detection module, the output end of the molding terminal is electrically connected to the input end of the interruption state detection module, the output ends of the data acquisition unit, the humidity detection module and the terminal state detection module are all electrically connected to the input end of the central processing unit, and the output end of the central processing unit is electrically connected to the input end of the data storage unit; The output end of the data storage unit is electrically connected to the input end of the data calculation unit, the output end of the data calculation unit is electrically connected to the input end of the feedback unit, the output end of the feedback unit is electrically connected to the input end of the central processing unit, the output end of the central processing unit is electrically connected to the input end of the data transmission unit, the output end of the data transmission unit is electrically connected to the input end of the visualization unit, the output end of the data transmission unit is electrically connected to the input end of the warning unit, and the data transmission unit is communicatively connected to the remote mobile terminal via a 4G network; The input end of the central processing unit is electrically connected to the output end of the detection unit, the input end of the detection unit is electrically connected to the output ends of the feeding system and the molding terminal, the central processing unit is bidirectionally connected to the circuit opening and closing module, the input end of the circuit opening and closing module is electrically connected to the output end of the power supply module, the output end of the central processing unit is electrically connected to the input end of the drying control unit, the output end of the drying control unit is electrically connected to the input end of the feeding system, and the output end of the central processing unit is electrically connected to the input end of the data calculation unit; The data storage unit includes an information input unit, the output end of the information input unit is electrically connected to the input end of the database, and the output end of the database is electrically connected to the input end of the matching unit. The information input unit is used for a user to input information such as the model, quantity, yield rate, amount of product forming consumables, and product forming speed of the same batch of products to be formed. The database is used to store data on product forming processing projects, and the matching unit is used to match historical product forming processing projects that are similar to the product project to be formed; The humidity detection module is used to detect the humidity of the raw materials in the feeding system and send the humidity detection data to the central processing unit; The drying control unit is used to adjust the parameters of the dryer in the feeding system when it is working; The data calculation unit is used to analyze and predict data using a neural network calculation model. In the initial stage of establishment, the neural network calculation model is trained using data of completed product forming and processing projects with similar characteristics matched by the matching unit. After the training is completed, the model is tested using data of completed product forming and processing projects with similar characteristics. After a mature neural network calculation model is obtained, the model is analyzed and predicted. The terminal status detection module is used to detect whether the forming terminal is in a full-load state during operation and the specific parameter data of the operation process; The power module is used to supply power to the central processing unit, the feeding system and the molding terminal; The neural network calculation model processes data including raw material humidity, the amount of consumables at the molding terminal, the number of products, and the molding speed at the molding terminal. The model calculates the time required for drying at normal temperature based on the raw material humidity, and adjusts the parameters of the dryer's working process based on the basic data to achieve the shortest drying time. The model also calculates the total amount of raw materials required in a working day and the speed of raw material feeding based on the amount of consumables at the molding terminal, the number of products, and the molding speed. The model also calculates the minimum total amount of consumables required to obtain the corresponding number of finished products based on the yield rate of the product molding process. It also calculates the time it takes for a material shortage to occur after a loading. The warning unit includes a warning light and a warning bell. The warning bell is used to emit a warning sound when abnormal information occurs, and the warning light is used to emit a warning light when abnormal information occurs to remind the staff; The visualization unit is used to display the results obtained by the neural network calculation model and integrate the calculation results into a chart for presentation; The remote mobile terminal is used to wirelessly receive and view warning information and work data through the 4G network.

2. The material conveying automation control system for saving electric energy consumption according to claim 1 is characterized in that: The circuit opening and closing module includes a manual opening and closing unit and an automatic opening and closing unit. The manual opening and closing unit and the automatic opening and closing unit are used to control the opening and closing of the power supply circuit and to disconnect the circuit when a fault occurs in the feeding system or the molding terminal.

3. The material conveying automation control system for saving power consumption according to claim 1 is characterized in that: The detection unit includes a current detection module and a voltage detection module. The current detection module is used to detect the current when the feeding system and the molding terminal are working, and the voltage detection module is used to detect the voltage when the feeding system and the molding terminal are working.

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