Intelligent processing management system for high-quality rice
The intelligent rice processing management system solves the problem of traditional rice processing relying on manual experience, and realizes precise adjustment and full-process data management of rice processing, thereby improving rice quality and processing efficiency.
Patent Information
- Application Number
- CN202511882325.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-15
- Publication Date
- 2026-01-27
AI Technical Summary
Traditional rice processing relies on manual experience, which cannot achieve precise adaptation, resulting in unstable rice quality and a lack of unified data management throughout the entire process.
The high-quality intelligent rice processing management system is adopted. Through data collection, processing, analysis, central unit, processing unit, early warning unit, traceability unit, dashboard unit and cloud unit, it realizes data collection, calculation and real-time adjustment, ensuring that the rice maintains a good processing state in each process and enabling full-process data traceability and management.
It enables precise adjustment and quality assurance in rice processing, improves the intelligence and stability of rice processing, provides visualization and unified management of data throughout the entire process, and meets the demand for high-quality rice.
Smart Images
Figure CN121402176A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of rice processing technology, and more specifically to a high-quality rice intelligent processing management system. Background Technology
[0002] As the staple food of more than half of the world's population, the quality of rice processing directly affects its taste, nutritional value, and economic benefits. With the upgrading of consumption and market segmentation, the market demand for high-quality, high-stability, and traceable premium rice is growing stronger. At present, the mainstream production model of my country's rice processing industry still faces severe challenges and is unable to meet this demand stably and efficiently. Traditional rice processing typically includes cleaning, hulling, hulling, milling, polishing, color sorting, and packaging. Controlling this process heavily relies on the experience of the operators. Experienced workers roughly judge and set key parameters of the processing equipment by observing the appearance and feel of the raw materials and listening to the sounds of the equipment, such as the roller pressure of the huller, the gap and speed of the whitening chamber of the rice mill, and the amount of water and time added to the polisher, thus ultimately completing the rice processing operation. Due to differences in variety, origin, year, and storage conditions, raw rice exhibits significant initial characteristics. Faced with this natural variability, fixed processing parameters or those adjusted based solely on rough experience cannot achieve precise adaptation. Consequently, the rice cannot be adjusted to the appropriate strength during the initial processing stage, resulting in a decrease in the rice's strength after milling. During rice processing, it is affected by factors such as processing equipment and the environment. Furthermore, the data from each stage of rice processing, from raw grain entering the warehouse to finished rice leaving the warehouse, is often isolated, making it impossible to manage all the data uniformly. Summary of the Invention
[0003] In order to overcome the above-mentioned defects of the prior art, the embodiments of the present invention provide a high-quality rice intelligent processing management system to solve the technical problems mentioned in the background art.
[0004] To achieve the above objectives, the present invention provides the following technical solution: a high-quality rice intelligent processing management system, comprising a data acquisition unit, a processing unit, an analysis unit, a central unit, a processing unit, an early warning unit, a traceability unit, a dashboard unit, a finished product unit, and a cloud unit. The data acquisition unit is used to collect data on rice raw materials and during processing. The processing unit receives data from the data acquisition unit and calculates an adjustment value T. The analysis unit receives data from the data acquisition unit and calculates a modification value X. The central unit receives the adjustment value T and the modification value X and calculates the initial power P1 and the real-time power P2. The processing unit uses the initial power P1 for initial power adjustment and the real-time power P2 for power adjustment. The early warning unit issues an alarm when the modification value X is negative or zero. The traceability unit is used to trace rice production data. The dashboard unit is used to visualize the data. The finished product unit is used to inspect the processed rice and generate a finished product inspection report. The cloud unit is used to store the data in the cloud. The data acquisition unit includes a raw grain module and a processing module. The raw grain module acquires chemical and surface data of the raw rice. The chemical data includes starch content (DF), protein content (DB), and moisture content (SF) of the raw rice. The surface data includes chalkiness (EB) and crack rate (LW). The processing module acquires broken rice content (SM), whiteness value (BD), and discolored grain content (YS) of the rice after each processing step. The data acquisition unit sends all the acquired data to the processing and analysis units.
[0005] In a preferred embodiment, the processing unit receives the data collected by the acquisition unit and calculates the adjustment value T. The formula for calculating the adjustment value T is as follows: In the formula, BZ1 is the standard starch content data, BZ2 is the standard protein content data, BZ3 is the standard moisture content data, and BZ4 is the standard chalkiness data. K1, K2, K3, and K4 are all weights, and the values of K1, K2, K3, and K4 are in the range of 0-1. The processing unit sends the calculated adjustment value T and crack rate data LW to the central unit.
[0006] In a preferred embodiment, the central unit receives and processes the data sent by the processing unit to calculate the initial power P1. The formula for calculating the initial power P is as follows: In the formula, TB is the adjustment T under standard conditions, PB is the processing power under standard conditions, and A is the adjustment coefficient. The central unit sends the calculated processing power P1 to the processing unit, and the processing unit receives the initial power P1 and performs rice processing work with the initial power P1.
[0007] In a preferred embodiment, when the central unit receives crack rate data LW, the central unit compares the crack rate data LW with the crack threshold LY. When the crack rate data LW ≤ the crack threshold LY, the central unit controls the adjustment coefficient A to be 1, and when the crack rate data LW > the crack threshold LY, the central unit controls the adjustment coefficient A to be 0.8.
[0008] In a preferred embodiment, the analysis unit receives the data collected by the acquisition unit and calculates the modification value X. The formula for calculating the modification value X is as follows: In the formula, BZ5 is the standard broken rice content data SM, BZ6 is the standard whiteness value data, K5 and K6 are both weights, and the value range of K5 and K6 is 0-1, sgn is the rounding function, YSB is the threshold for discolored grain content, and the analysis unit sends the calculated modified value X to the central unit.
[0009] In a preferred embodiment, the central unit receives the modified value X sent by the analysis unit. The central unit first analyzes the value of the modified value X. When the modified value X is negative or zero, the central unit sends an alarm command to the warning unit. The warning unit receives the alarm command and checks it at the processing unit. When the modified value X is positive, the central unit calculates the real-time power P2. The formula for calculating the real-time power P2 is as follows: XB is always the modified value X calculated under standard conditions. The central unit sends the calculated real-time power to the processing unit. The processing unit receives the real-time power P2 and uses the real-time power P2 to replace the initial power P1 for rice processing.
[0010] In a preferred embodiment, the traceability unit is connected to the central unit via an enterprise local area network or the Internet of Things; the traceability unit records complete data information of rice from raw grain entering the warehouse, processing process to finished product leaving the warehouse, and the traceability unit generates a unique, scannable RFID tag for each batch of rice. By scanning the RFID tag, the origin information of the raw materials, raw grain quality report, history of the entire process processing parameters, online quality testing data of each stage, and finished product inspection report of the batch of products can be traced and queried.
[0011] In a preferred embodiment, the Kanban unit is used to visualize the entire production process data of rice processing, and the Kanban unit dynamically displays all data information collected in the acquisition unit, the working status data of each processing equipment in the processing unit, and the initial power P1 and real-time power P2 calculated by the central unit in real time.
[0012] In a preferred embodiment, the cloud unit communicates with at least one central unit and a data acquisition unit in a rice processing plant area via a network. The cloud unit stores data from each plant area in a unified manner. Data in the cloud module can be retrieved and sent in real time, and data in the cloud unit can be displayed in the dashboard unit.
[0013] The technical effects and advantages of this invention are as follows: This invention collects data on raw rice to adjust the initial intensity power suitable for rice processing, collects data on rice during processing, and automatically adjusts the power during processing to ensure that the rice is always in a relatively good processing state. In addition, the invention transmits the historical processing parameters of the entire rice process during rice processing, thereby mastering each stage of processing and enabling unified management. This invention collects chemical data, represented by starch content data (DF), protein content data (DB), and moisture content data (SF), and surface data, represented by chalkiness data (EB) and crack rate data (LW). The calculated adjustment value T can accurately express the condition of the raw rice grain. Based on this, the calculated initial power P1 is accurate enough to operate at this initial power P1, which can process the rice well. This invention collects data on rice after processing by a processing device. The calculated real-time power P2 can represent the changes in rice. When the broken rice content and whiteness value increase, the power needs to be reduced, and vice versa. Therefore, the calculated real-time power P2 can be adjusted in real time to ensure dynamic adjustment during processing, thereby ensuring the quality of the processed rice. This invention records and stores complete data on rice from raw grain entry into storage, processing, to finished product exit, and uses a scannable RFID tag to record this data. Therefore, managers can access data from each processing stage of the rice at any time, gaining a quick and detailed understanding of the information. The dashboard unit visualizes the entire rice processing process, allowing managers to more intuitively understand the data during processing. The cloud unit stores data from each plant area uniformly, enabling unified management of the data and improving the intelligence of rice processing. Attached Figure Description
[0014] Figure 1 This is a schematic diagram of the overall system composition of the present invention. Detailed Implementation
[0015] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. In addition, the forms of the various structures described in the following embodiments are merely illustrative. The high-quality rice intelligent processing management system involved in the present invention is not limited to the structures described in the following embodiments. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0016] Reference Figure 1 This invention provides a high-quality intelligent rice processing management system, including a data acquisition unit, a processing unit, an analysis unit, a central unit, a processing unit, an early warning unit, a traceability unit, a dashboard unit, a finished product unit, and a cloud unit. The data acquisition unit collects data on rice raw materials and during processing. The processing unit receives data from the data acquisition unit and calculates an adjustment value T. The analysis unit receives data from the data acquisition unit and calculates a modification value X. The central unit receives the adjustment value T and the modification value X and calculates the initial power P1 and the real-time power P2. The processing unit uses the initial power P1 for initial power adjustment and the real-time power P2 for power adjustment. The early warning unit issues an alarm when the modification value X is negative or zero. The traceability unit traces rice production data. The dashboard unit visualizes the data. The finished product unit inspects the processed rice and generates a finished product inspection report. The cloud unit stores the data in the cloud.
[0017] In this embodiment of the application, when processing rice, the application first collects data on raw rice through a data acquisition unit, thereby adjusting the initial intensity power suitable for rice processing. The data acquisition unit also collects data on the rice during processing by the processing equipment within the processing unit, thereby automatically adjusting the process to ensure that the rice is always in a relatively good processing state. Furthermore, the application transmits the historical parameters of the entire rice processing process during rice processing, thereby gaining control over each stage of the processing and enabling unified management.
[0018] Reference Figure 1 The data acquisition unit includes a raw grain module and a processing module. The raw grain module acquires chemical and surface data of the raw rice. The chemical data includes starch content (DF), protein content (DB), and moisture content (SF). The surface data includes chalkiness (EB) and crack rate (LW). The acquisition unit sends all acquired data to the processing and analysis units. The processing unit receives the data acquired by the acquisition unit and calculates the adjustment value T. The formula for calculating the adjustment value T is as follows: In the formula, BZ1 represents standard starch content data, BZ2 represents standard protein content data, BZ3 represents standard moisture content data, and BZ4 represents standard chalkiness data. K1, K2, K3, and K4 are weights, and their values range from 0 to 1. The processing unit sends the calculated adjustment value T and crack rate data LW to the central unit. The central unit receives the data sent by the processing unit and calculates the initial power P1. The formula for calculating the initial power P is as follows: In the formula, TB is the adjustment T under standard conditions, PB is the processing power under standard conditions, and A is the adjustment coefficient. The central unit sends the calculated processing power P1 to the processing unit, and the processing unit receives the initial power P1 and performs rice processing work with the initial power P1.
[0019] In this embodiment, when the acquisition unit collects data, it first collects chemical data represented by starch content data (DF), protein content data (DB), and moisture content data (SF), and surface data represented by chalkiness data (EB) and crack rate data (LW). By collecting the above data of the raw rice, the calculated adjustment value T can accurately express the condition of the raw rice. Based on this, the calculated initial power P1 is accurate enough, and the processing unit operates with this initial power P1, which can process the rice well. In addition, it should be noted that when calculating the adjustment value T, the collected data is compared with the standard data, so that the unit can be removed, and all data can be calculated together.
[0020] Reference Figure 1 When the central unit receives the crack rate data LW, it compares the crack rate data LW with the crack threshold LY. When the crack rate data LW ≤ the crack threshold LY, the central unit controls the adjustment coefficient A to be 1. When the crack rate data LW > the crack threshold LY, the central unit controls the adjustment coefficient A to be 0.8.
[0021] In this embodiment, the crack rate data LW is judged separately because the crack rate data LW of rice has a significant impact on the rice itself. When the crack rate data LW is high, the processing intensity needs to be reduced, otherwise more broken rice will be produced, reducing the rice yield. Therefore, this application sets an adjustment coefficient A to reduce the power when the crack rate data LW is high, thereby reducing the processing intensity and ensuring the processing quality.
[0022] Reference Figure 1The processing module collects data on broken rice content (SM), whiteness (BD), and discolored grain content (YS) after each processing step of the rice. The acquisition unit sends all collected data to the processing and analysis units. The analysis unit receives the data collected by the acquisition unit and calculates a modification value (X). The formula for calculating the modification value (X) is as follows: In the formula, BZ5 is the standard broken rice content data SM, BZ6 is the standard whiteness value data, K5 and K6 are weights, and the value range of K5 and K6 is 0-1, sgn is the rounding function, and YSB is the threshold for discolored grain content. The analysis unit sends the calculated modified value X to the central unit. The central unit receives the modified value X sent by the analysis unit and first analyzes the value of the modified value X. When the modified value X is negative or zero, the central unit sends an alarm command to the warning unit. The warning unit receives the alarm command and checks it at the processing unit. When the modified value X is positive, the central unit calculates the real-time power P2. The formula for calculating the real-time power P2 is as follows: XB is always the modified value X calculated under standard conditions. The central unit sends the calculated real-time power to the processing unit. The processing unit receives the real-time power P2 and uses the real-time power P2 to replace the initial power P1 for rice processing.
[0023] In this embodiment, the processing module collects data on the rice after processing by the processing equipment within the processing unit. Discolored grains significantly impact rice quality; a certain number of discolored grains directly reduce rice quality. Therefore, this application includes a rounding function (sgn). This function outputs 1 for positive input, 0 for 0, and -1 for negative input. The discolored grain content threshold YSB is subtracted from the discolored grain content data YS. If the output is 0 or negative, it indicates that the current discolored grain content data YS has reached the threshold YSB, triggering an alarm. This prevents further degradation of the processed rice quality. When the discolored grain content data YS meets the standard, the processed rice data is collected, and the calculated real-time power P2 represents the rice's change. Increased broken rice content and whiteness require a decrease in power, while decreased whiteness requires an increase. Therefore, the calculated real-time power P2 can be adjusted in real-time to ensure dynamic adjustment during processing and thus guarantee the quality of the processed rice.
[0024] Reference Figure 1The traceability unit is connected to the central unit via an enterprise LAN or IoT. The traceability unit records complete data information for rice from raw grain entry into storage, processing, to finished product exit. Each batch of rice is assigned a unique, scannable RFID tag. By scanning the RFID tag, the origin of the raw materials, raw grain quality reports, historical processing parameters, online quality testing data at each stage, and finished product inspection reports can be traced and queried. The dashboard unit visualizes the entire rice processing process data. It dynamically displays all data collected by the acquisition unit, the operating status data of each processing device in the processing unit, and the initial power P1 and real-time power P2 calculated by the central unit. The cloud unit communicates with the central unit and acquisition unit of at least one rice processing plant area via a network. The cloud unit stores data from each plant area uniformly. Data in the cloud module can be retrieved and sent in real time, and data in the cloud unit can be displayed in the dashboard unit.
[0025] In this embodiment, the traceability unit records complete data information of rice from raw grain entering the warehouse, processing to finished product leaving the warehouse, and sets up a scannable RFID tag to record the above data. Therefore, managers can retrieve data from each processing stage of rice at any time to quickly and thoroughly understand the information. The dashboard unit visualizes the entire production process data of rice processing, allowing managers to more intuitively understand the data during rice processing. The cloud unit stores the data from each factory area in a unified manner, enabling unified management of the data in this application and improving the intelligence of rice processing.
[0026] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented in software, the above embodiments can be implemented, in whole or in part, as a computer program product. The units and algorithm steps of the various examples described in the embodiments can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.
[0027] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.
[0028] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.
[0029] In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.
Claims
1. A high-quality rice intelligent processing management system, characterized in that: The system includes a data acquisition unit, a processing unit, an analysis unit, a central unit, a processing unit, an early warning unit, a traceability unit, a dashboard unit, a finished product unit, and a cloud unit. The data acquisition unit is used to collect data on rice raw materials and during processing. The processing unit receives data from the data acquisition unit and calculates an adjustment value T. The analysis unit receives data from the data acquisition unit and calculates a modification value X. The central unit receives the adjustment value T and the modification value X and calculates the initial power P1 and the real-time power P2. The processing unit uses the initial power P1 to set the initial power level and uses the real-time power P2 to adjust the operating power. The early warning unit issues an alarm when the modification value X is negative or zero. The traceability unit is used to trace rice production data. The dashboard unit is used to visualize the data. The finished product unit is used to inspect the processed rice and generate a finished product inspection report. The cloud unit is used to store the data in the cloud. The data acquisition unit includes a raw grain module and a processing module. The raw grain module acquires chemical and surface data of the raw rice. The chemical data includes starch content (DF), protein content (DB), and moisture content (SF) of the raw rice. The surface data includes chalkiness (EB) and crack rate (LW). The processing module acquires broken rice content (SM), whiteness value (BD), and discolored grain content (YS) of the rice after each processing step. The data acquisition unit sends all the acquired data to the processing and analysis units.
2. The intelligent processing management system for high-quality rice according to claim 1, characterized in that: The processing unit receives the data collected by the acquisition unit and calculates the adjustment value T. The formula for calculating the adjustment value T is as follows: In the formula, BZ1 is the standard starch content data, BZ2 is the standard protein content data, BZ3 is the standard moisture content data, and BZ4 is the standard chalkiness data. K1, K2, K3, and K4 are all weights, and the values of K1, K2, K3, and K4 are in the range of 0-1. The processing unit sends the calculated adjustment value T and crack rate data LW to the central unit.
3. The intelligent processing management system for high-quality rice according to claim 2, characterized in that: The central unit receives and processes the data sent by the processing unit to calculate the initial power P1. The formula for calculating the initial power P is as follows: In the formula, TB is the adjustment T under standard conditions, PB is the processing power under standard conditions, and A is the adjustment coefficient. The central unit sends the calculated processing power P1 to the processing unit, and the processing unit receives the initial power P1 and performs rice processing work with the initial power P1.
4. The intelligent processing management system for high-quality rice according to claim 3, characterized in that: When the central unit receives the crack rate data LW, it compares the crack rate data LW with the crack threshold LY. When the crack rate data LW ≤ the crack threshold LY, the central unit controls the adjustment coefficient A to be 1. When the crack rate data LW > the crack threshold LY, the central unit controls the adjustment coefficient A to be 0.
8.
5. The intelligent processing management system for high-quality rice according to claim 1, characterized in that: The analysis unit receives the data collected by the acquisition unit and calculates the modification value X. The formula for calculating the modification value X is as follows: In the formula, BZ5 is the standard broken rice content data SM, BZ6 is the standard whiteness value data, K5 and K6 are both weights, and the value range of K5 and K6 is 0-1, sgn is the rounding function, YSB is the threshold for discolored grain content, and the analysis unit sends the calculated modified value X to the central unit.
6. The intelligent processing management system for high-quality rice according to claim 5, characterized in that: The central unit receives the modified value X sent by the analysis unit. The central unit first analyzes the value of modified value X. When modified value X is negative or zero, the central unit sends an alarm command to the warning unit. The warning unit receives the alarm command and checks it at the processing unit. When modified value X is positive, the central unit calculates the real-time power P2. The formula for calculating real-time power P2 is as follows: XB is always the modified value X calculated under standard conditions. The central unit sends the calculated real-time power to the processing unit. The processing unit receives the real-time power P2 and uses the real-time power P2 to replace the initial power P1 for rice processing.
7. The intelligent processing management system for high-quality rice according to claim 1, characterized in that: The traceability unit is connected to the central unit via an enterprise local area network or the Internet of Things. The traceability unit records complete data information of rice from raw grain entering the warehouse, processing to finished product leaving the warehouse. The traceability unit generates a unique, scannable RFID tag for each batch of rice. By scanning the RFID tag, the origin information of the raw materials, raw grain quality report, historical processing parameters throughout the entire process, online quality testing data at each stage, and finished product inspection report of the batch of products can be traced and queried.
8. The intelligent processing management system for high-quality rice according to claim 1, characterized in that: The Kanban unit is used to visualize the entire production process data of rice processing. The Kanban unit dynamically displays all data information collected in the acquisition unit, the working status data of each processing equipment in the processing unit, and the initial power P1 and real-time power P2 calculated by the central unit in real time.
9. The intelligent processing management system for high-quality rice according to claim 1, characterized in that: The cloud unit communicates with the central unit and the data collection unit of at least one rice processing plant area via a network. The cloud unit stores the data in each plant area in a unified manner. The data in the cloud module can be retrieved and sent in real time, and the data in the cloud unit can be displayed in the dashboard unit.