Intelligent solid material ratio control system

The intelligent solid material proportioning control system, by utilizing the auxiliary modules and calibration and adjustment functions of sensors and central processing units, solves the problem that existing systems cannot automatically calibrate and update proportions, and achieves high-precision and high-efficiency material proportioning control.

CN121401948APending Publication Date: 2026-01-27高鸿升
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Patent Information

Application Number
CN202511564216.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-10-30
Publication Date
2026-01-27

AI Technical Summary

Technical Problem

The existing proportioning control system lacks auxiliary modules, cannot correct proportioning errors in a timely manner according to standards, and cannot automatically update the stored proportioning information, resulting in low proportioning accuracy and increased manual labor intensity.

Method used

An intelligent solid material proportioning control system was designed, which includes material storage, mixing, human-machine interaction, central processing and communication units. It uses weight, temperature and ultrasonic sensors for monitoring, and sets up auxiliary modules and calibration and adjustment modules to realize automatic calibration and data learning, and provides one-button control and error alarms.

Benefits of technology

It improves the accuracy and quality of the mixing ratio, reduces the intensity of manual labor, realizes intelligent operation and efficient mixing of the system, and ensures the accuracy and consistency of the mixing ratio data.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention belongs to the technical field of proportioning control, and discloses an intelligent solid material proportioning control system, which comprises a material storage unit, a material mixing unit, a man-machine interaction unit and a central processing unit, and is characterized in that the central processing unit comprises a signal receiving module, a signal sending module and a central processing module; a standard storage module, a calibration adjustment module, a history storage module and an auxiliary module; according to the technical scheme, a large amount of historical information can be analyzed and learned, the standard proportion is automatically perfected and adjusted according to the historical information, the standard proportion is automatically updated, the follow-up matching precision and matching quality are improved, the labor intensity of workers is reduced, and the control and use effect is improved; meanwhile, the auxiliary module is arranged, one-key control and single input can be achieved through the auxiliary module, the system applicability is improved, and the use effect is greatly improved.
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Description

Technical Field

[0001] This invention relates to the field of proportioning control technology, and in particular to an intelligent solid material proportioning control system. Background Technology

[0002] In modern production, to improve production efficiency and automation levels, there is a demand for automated feeding and batching in industries such as food, pharmaceuticals, and metallurgy. Precise batching of different materials is required, and the proportions of reagents used for testing need to be highly accurate. A proportioning control system is used to compare material proportions, issuing instructions to complete the batching process. Currently used proportioning control systems are mostly simple to operate, generally divided into two modes: one where operators manually input the proportioning parameters and production process for each batch, and the other a one-click setting where operators directly select one-click control based on the materials to be synthesized, eliminating the need for operators to manually input individual proportioning parameters and production processes. However, in practical use, the following technical problems still exist: Current systems lack auxiliary modules, making it impossible for managers to correct errors in proportioning according to standards. Furthermore, they lack learning functions, storing unchanging proportion information that cannot be automatically updated based on actual proportioning data. This results in subsequent batching accuracy failing to meet specified requirements, reducing batching quality while increasing manual labor intensity, making them inconvenient to use. Summary of the Invention

[0003] The present invention aims to provide an intelligent solid material proportioning control system to solve the problems mentioned in the background art.

[0004] To achieve the above objectives, the present invention provides the following technical solution: An intelligent solid material proportioning control system includes: The material storage unit includes storage components for storing different solid materials. Several sets of storage components are provided. The storage components are connected to weight sensors and control switches. The material mixing unit is used to mix different materials. It is connected to the material storage unit via a conveying device and is equipped with a weight sensor. The human-computer interaction unit is used to display system information to managers and receive corresponding instructions from staff.

[0005] The central processing unit (CPU) centrally processes various signals. It is electrically connected to the material storage unit, material mixing unit, and human-machine interface unit. The CPU receives, processes, and stores all signals. Manually issued technical instructions are processed by the CPU and then transmitted to different units to complete the material proportioning process. The CPU includes a signal receiving module, a signal transmitting module, a central processing module, a standard storage module, a calibration and adjustment module, a historical storage module, and auxiliary modules. The signal receiving module is used to receive various signals; the signal transmitting module is used to transmit various signals; the central processing module is used to analyze and process the signals; the standard storage module is used to store standard mixing ratios, providing a basis for comparison to remind managers of mixing ratio failures; the calibration and adjustment module is used to calibrate and adjust the errors in the mixing process to improve mixing accuracy; the historical storage unit is used to store historical data; and the auxiliary module is used to assist managers in setting mixing ratios and to provide guidance on incorrect operations. Managers can input the standard proportion of each material into the standard storage module in advance through the human-computer interaction unit and store it. The central processing module establishes a single storage path for the standard of each material and stores it into the standard storage module. Managers can reasonably improve the standard proportion according to technological development and improvement. At the same time, the central processing module can analyze and suggest analysis charts based on the proportion standard of materials under different conditions, and predict the standard proportion of materials under conditions that have not been input, providing basic support for subsequent assistance. When the manager inputs the first set of data through the human-computer interaction unit, the central processing module automatically extracts the ratio information stored in the standard storage module and sends it to the auxiliary module. The auxiliary module converts the standard ratio information into an electrical signal and displays it through the human-computer interaction unit, making it easier for the manager to input the correct ratio information. When the ratio information input by the manager is in error with the standard ratio, the auxiliary module issues an alarm command to remind the manager that the ratio input is incorrect. The central processing unit also includes an auxiliary correction module. The auxiliary correction unit is used to update the guidance data of the auxiliary module. The auxiliary correction unit establishes a connection with the central processing unit. The auxiliary correction unit extracts data stored in the historical storage module. The central processing module performs data analysis on the extracted data and compares it with the standard storage module and the same ingredient data in history. It corrects single proportion operations and changes the data in the auxiliary module through deep learning of multiple sets of data to improve the accuracy of subsequent proportions. The communication unit enables data communication between the system and external devices or a host computer. Utilizing Ethernet, it transmits system operation and production data to the host computer or mobile device in real time, facilitating remote monitoring and management by administrators. Preferably, the historical storage module stores data in an independent manner, and the central processing module suggests a new storage path for the storage unit based on a single instruction as a node, and stores the processing data of different operations separately. After a batching is completed, the central processing module establishes a storage path in the storage module to store the instructions issued by the management personnel, the materials output by the material storage unit, and the material weights in a separate batch.

[0006] Preferably, the storage component is connected to a temperature sensor and an ultrasonic level sensor, which, together with a weight sensor, monitor the material storage status in the material storage unit in real time, while improving the accuracy of material output.

[0007] Preferably, the human-machine interaction unit includes a display screen and an input device. Management personnel can view the system's operating status, material proportioning parameters, production data, and other information through the display screen, and set instructions such as material proportioning parameters and production process requirements through the input device, thereby realizing manual control and parameter adjustment of the system.

[0008] Preferably, the auxiliary module directly suggests rapid control channels based on standard ratios, allowing management personnel to control the system with a single click, thus improving the system's intelligent operation.

[0009] Preferably, the calibration and adjustment module compares the data from the material storage unit, the data from the material mixing unit, and the input commands to complete automatic calibration and replenishment, thereby improving the mixing quality and efficiency.

[0010] The beneficial effects of this technical solution compared to existing technologies are as follows: (1) This technical solution sets up two storage paths to store standard information and historical information respectively, and analyzes and learns a large amount of historical information. Based on the historical information, it automatically improves and adjusts the standard ratio and automatically updates the standard ratio to improve the accuracy and quality of subsequent proportioning, reduce the intensity of manual labor, and improve the control effect. At the same time, an auxiliary module is set up. Through the auxiliary module, one-click control and single input can be realized to improve the applicability of the system. One-click control combined with automatic data analysis and update improves the efficiency and quality of proportioning. When using single input, the input data is monitored and guided to avoid input errors and greatly improve the use effect.

[0011] (2) This technical solution uses a single instruction and single data storage method to complete data storage, which facilitates the extraction and comparison of different combination data and improves the accuracy of data processing; the accuracy of the ratio is greatly improved by using different sensors, and the error in the ratio is corrected by the calibration and adjustment module, which further improves the quality of the ratio. Attached Figure Description

[0012] Figure 1A flowchart illustrating the central processing unit provided by the present invention; Detailed Implementation The present invention will now be described in further detail with reference to the accompanying drawings and embodiments: An intelligent solid material proportioning control system includes: The material storage unit includes storage components for storing different solid materials. There are several groups of storage components, each storing different raw materials. The storage components are connected to weight sensors and control switches. The storage components are also connected to temperature sensors and ultrasonic level sensors, which, together with the weight sensors, monitor the material storage status in the material storage unit in real time, thereby improving the accuracy of material output.

[0013] The material mixing unit is used to mix different materials. The material mixing unit is connected to the material storage unit through a conveying device. The material mixing unit is connected to a weight sensor, which monitors the materials entering the material mixing unit and provides theoretical data for subsequent calibration. The human-machine interaction unit (HMI) is used to display system information to management personnel and receive corresponding instructions input by staff. The HMI includes a display screen and input devices. Management personnel can view the system's operating status, material ratio parameters, production data, and other information through the display screen, and set instructions such as material ratio parameters and production process requirements through the input devices, thereby realizing manual control and parameter adjustment of the system. In actual settings, parameters can also be input using a keyboard and mouse. The central processing unit (CPU) centrally processes various signals. It is electrically connected to the material storage unit, material mixing unit, and human-machine interface unit. The CPU receives, processes, and stores all signals. Manually issued technical instructions are processed by the CPU and then transmitted to different units to complete the material proportioning process. The CPU includes a signal receiving module, a signal transmitting module, a central processing module, a standard storage module, a calibration and adjustment module, a historical storage module, and auxiliary modules. The signal receiving module receives various signals; the signal transmitting module transmits various signals; the central processing module analyzes and processes the signals; the standard storage module stores standard mixing ratios, providing a basis for comparison to alert managers to mixing errors; in the early stages of use, standard mixing ratios obtained by the client or through experiments can be input and stored; the calibration and adjustment module calibrates and adjusts errors in the mixing process to improve accuracy; the historical storage unit stores historical data; and the auxiliary module assists managers in setting mixing ratios and provides guidance for incorrect operations. Managers can input the standard proportion of each material into the standard storage module in advance through the human-computer interaction unit and store it. The central processing module establishes a single storage path for the standard of each material and stores it in the standard storage module. Managers can reasonably improve the standard proportion according to technological development and improvement. At the same time, the central processing module can analyze the proportion standard of materials under different conditions, generate analysis charts, and predict the standard proportion of materials under conditions that have not been input, providing basic support for subsequent assistance. When the first set of data input by the operator is not the pre-stored standard data, the generated analysis charts can provide predicted data and thus provide guidance and support. When the manager inputs the first set of data through the human-computer interaction unit, the central processing module automatically extracts the ratio information stored in the standard storage module and sends it to the auxiliary module. The auxiliary module converts the standard ratio information into an electrical signal and displays it through the human-computer interaction unit, making it easier for the manager to input the correct ratio information. When the ratio information input by the manager is in error with the standard ratio, the auxiliary module issues an alarm command to remind the manager that the ratio input is incorrect. The auxiliary module directly suggests quick control channels based on standard ratios, allowing management personnel to control the system with a single click, thus improving the system's intelligent operation.

[0014] The historical storage module stores data independently. The central processing module suggests new storage paths for the storage unit based on a single instruction as a node, and stores the processing data of different operations separately. After a batching is completed, the central processing module establishes a storage path in the storage module to store the instructions issued by the management personnel, the materials output by the material storage unit, and the material weights separately. Subsequently, each set of data can be compared and analyzed to improve the data processing effect. The central processing unit also includes an auxiliary correction module. The auxiliary correction unit is used to update the guidance data of the auxiliary module. The auxiliary correction unit establishes a connection with the central processing unit, extracts data stored in the historical storage module, and performs data analysis on the extracted data through the central processing module. It compares the extracted data with the standard storage module and the same ingredient data in the history. When there is a discrepancy between the historical data and the standard data, it determines whether to replace the standard data with the correct historical data based on the amount of historical data analyzed, thus completing the update of the standard data. At the same time, it is displayed on the human-computer interaction unit so that the operator is aware of the correction of a single proportion operation. It also improves the accuracy of subsequent proportions by changing the data in the auxiliary module through deep learning of multiple sets of data. The calibration and adjustment module compares the data from the material storage unit, the material mixing unit, and the input commands to complete automatic calibration and replenishment, thereby improving the mixing quality and efficiency.

[0015] The communication unit is used to realize data communication between the system and external devices or host computers. The communication unit adopts Ethernet communication and can transmit the system's operating data, production data, etc. to the host computer or mobile devices in real time, which facilitates remote monitoring and management by managers.

[0016] Operators input mixing ratio instructions through the human-machine interface unit (HMI). The central processing unit receives signals through the signal receiving unit. When the first set of instructions is input, the auxiliary module automatically extracts the standard data of the corresponding materials and displays it to the HMI. Operators can then choose one-click direct data input, meaning the system automatically starts mixing according to the standard ratio with a single click, or manually input mixing parameters based on the displayed standard data. After parameter input, the signal receiving module transmits the signal to the central processing module. The central processing module processes and analyzes the mixing ratio instructions and then issues instructions via the signal sending module to the material storage unit and the material mixing unit. The control switch of the material storage unit opens, allowing the corresponding mass of raw materials to be fed into the material mixing unit. Mixing is completed in the material mixing unit. The weight sensor on the material storage unit monitors the output raw materials, automatically shutting off when the specified mass is reached. The weight sensor on the material mixing unit monitors the received raw materials, and the calibration and adjustment module transmits the signals received by the weight sensor. The system compares the input ratio signal with the input signal from the operator to check the accuracy of the output and received raw materials. If an error occurs, the material storage unit is automatically restarted to replenish the material. After the material ratio is completed, the central processing module establishes a new storage path in the storage module to save all the technical information involved in this ratio, which is then used for subsequent analysis and comparison, as well as error detection during the ratio process. When the historical data reaches a set quantity, the auxiliary calibration module extracts all historical data of the same material for comparison. First, it compares the differences between different historical data, and then compares the historical data with the standard data. When an error occurs between the historical data and the standard data, it analyzes the consistency of the historical data and determines whether the standard data needs to be updated or modified based on the quantity of correct historical data. The result is fed back to the human-machine interface unit or remote device. All information processing results during the ratio process can be transmitted to the mobile devices of the management personnel through the communication unit, allowing the management personnel to have an intuitive understanding of the system's operation and automatic adjustment.

[0017] The above descriptions are merely embodiments of the present invention, and common knowledge such as specific technical solutions and / or characteristics are not described in detail here. It should be noted that those skilled in the art can make various modifications and improvements without departing from the technical solutions of the present invention, and these should also be considered within the scope of protection of the present invention. These modifications and improvements will not affect the effectiveness of the implementation of the present invention or the practicality of the patent. The scope of protection claimed in this application should be determined by the content of its claims, and the specific embodiments described in the specification can be used to interpret the content of the claims.

Claims

1. An intelligent solid material proportioning control system, characterized in that, include: A material storage unit, comprising storage components for storing different solid materials, the storage components being provided in several groups, the storage components being connected to weight sensors, and the storage components being connected to control switches; A material mixing unit is used to mix different materials. The material mixing unit is connected to the material storage unit via a conveying device. The material mixing unit is also connected to a weight sensor. The human-computer interaction unit is used to display system information to administrators and receive corresponding instructions from staff. The central processing unit (CPU) centrally processes various signals. It is electrically connected to the material storage unit, material mixing unit, and human-machine interface unit. The CPU receives, processes, and stores all signals. Manually issued technical instructions are processed by the CPU and then transmitted to different units to complete the material proportioning process. The CPU includes a signal receiving module, a signal transmitting module, a central processing module, a standard storage module, a calibration and adjustment module, a historical storage module, and auxiliary modules. The signal receiving module is used to receive various types of signals; the signal transmitting module is used to transmit various types of signals; and the central processing module is used to analyze and process the signals. The standard storage module stores standard mixing ratios, providing a basis for comparison to alert managers to mixing errors; the calibration and adjustment module calibrates and adjusts errors in the mixing process to improve mixing accuracy; the historical storage unit stores historical data; and the auxiliary module assists managers in setting mixing ratios and provides guidance for incorrect operations. Managers can input the standard proportion of each material into the standard storage module in advance through the human-computer interaction unit and store it. The central processing module establishes a single storage path for the standard of each material and stores it into the standard storage module. Managers can reasonably improve the standard proportion according to technological development and improvement. At the same time, the central processing module can analyze and suggest analysis charts based on the proportion standard of materials under different conditions, and predict the standard proportion of materials under conditions that have not been input, providing basic support for subsequent assistance. When the manager inputs the first set of data through the human-computer interaction unit, the central processing module automatically extracts the ratio information stored in the standard storage module and sends it to the auxiliary module. The auxiliary module converts the standard ratio information into an electrical signal and displays it through the human-computer interaction unit, making it easier for the manager to input the correct ratio information. When the ratio information input by the manager is in error with the standard ratio, the auxiliary module issues an alarm command to remind the manager that the ratio input is incorrect. The central processing unit also includes an auxiliary correction module. The auxiliary correction unit is used to update the guidance data of the auxiliary module. The auxiliary correction unit establishes a connection with the central processing unit. The auxiliary correction unit extracts data stored in the historical storage module. The central processing module performs data analysis on the extracted data and compares it with the standard storage module and the same ingredient data in history. It corrects single proportion operations and changes the data in the auxiliary module through deep learning of multiple sets of data to improve the accuracy of subsequent proportions. The communication unit is used to realize data communication between the system and external devices or host computers. The communication unit adopts Ethernet communication and can transmit the system's operating data, production data, etc. to the host computer or mobile devices in real time, which facilitates remote monitoring and management by managers.

2. The intelligent solid material proportioning control system as described in claim 1, characterized in that, The historical storage module stores data in an independent manner. The central processing module suggests a new storage path for the storage unit based on a single instruction as a node, and stores the processing data of different operations separately. After a batching is completed, the central processing module establishes a storage path in the storage module to store the instructions issued by the management personnel, the materials output by the material storage unit, and the material weights during the batching.

3. The intelligent solid material proportioning control system as described in claim 1, characterized in that, The storage component is connected to a temperature sensor and an ultrasonic level sensor, which, together with a weight sensor, monitor the material storage status in the material storage unit in real time, while improving the accuracy of material output.

4. The intelligent solid material proportioning control system as described in claim 1, characterized in that, The human-machine interaction unit includes a display screen and an input device. Management personnel can view the system's operating status, material ratio parameters, production data, and other information through the display screen, and set instructions such as material ratio parameters and production process requirements through the input device, thereby realizing manual control and parameter adjustment of the system.

5. The intelligent solid material proportioning control system as described in claim 1, characterized in that, The auxiliary module directly suggests rapid control channels based on standard ratios, allowing management personnel to control the system with a single click, thus improving the system's intelligent operation.

6. The intelligent solid material proportioning control system as described in claim 1, characterized in that, The calibration and adjustment module compares the data from the material storage unit, the material mixing unit, and the input commands to complete automatic calibration and replenishment, thereby improving the mixing quality and efficiency.