Intelligent rice milling device and online process detection system

Abstract

The invention relates to the technical field of grain milling, in particular to an intelligent rice milling device and an online process detection system.The detection system comprises a sensing module and a processing module, and the processing module is in sampling connection with the sensing module; the sensing module comprises a first weighing sensor and a second weighing sensor which are used for collecting weight data of removed materials and rice grains obtained after grinding in the rice milling process, and the processing module comprises a milling separation degree obtaining module, a rice hull content estimation module, an adjustment coefficient obtaining module and a speed adjustment module. By analyzing the weight data of the removed objects and the weight data of the rice grains, the operation speed of the rice milling abrasive belt is adjusted. The running speed of the rice milling abrasive belt is fed back and adjusted by monitoring weight changes of removed materials and rice grains in the rice milling process in real time, rice grain germs can be reserved to the maximum extent, and the nutritional quality of the milled rice with germs is effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of grain milling, and particularly relates to an intelligent rice milling device and an on-line process detection system. Background Art

[0002] Germinated rice refers to the rice variety that retains the germ part during the rice milling process. It combines the nutritional value of brown rice and the taste of polished rice, and has gradually gained favor among consumers in recent years. As the most nutritious part of rice, the germ contains rich nutrients such as vitamin B group, vitamin E, dietary fiber, and unsaturated fatty acids, which play an active role in promoting human metabolism, enhancing immunity, and assisting in reducing blood lipids. Compared with polished rice that completely removes the germ, germinated rice has obvious advantages in health care functions and nutritional balance. Therefore, how to effectively retain the germ during the rice milling process is an important research direction for improving the added value of rice and meeting the market's healthy consumption needs.

[0003] Most of the existing rice milling devices adopt a unified milling intensity and a fixed grinding method, lacking the recognition and targeted treatment of the differences in the rice grain structure, and unable to adjust the grinding force according to different rice types or the current milling state, resulting in the germ being easily over-removed during the milling process, causing nutritional loss and thus affecting the quality of the finished product. Summary of the Invention

[0004] In order to solve the above technical problems, the purpose of the present invention is to provide an intelligent rice milling device and an on-line process detection system, and the specific technical solutions adopted are as follows: In the first aspect, the present invention provides an on-line process detection system. The system is applied to a rice milling device. In the rice milling device, there is a rice milling abrasive belt for grinding grains, and the running speed of which affects the milling force on the grains, and a separation device for separating the grains and the removed substances obtained after grinding during the rice milling process. The system includes a sensing module and a processing module. The processing module is sampled and connected to the sensing module. The sensing module includes a first weighing sensor and a second weighing sensor respectively used for collecting the weight data of the removed substances and the grains obtained after grinding during the rice milling process. The processing module includes: A milling separation degree acquisition module, configured to: determine the milling separation degree at the current moment according to the change conditions of the weight data of the removed substances and the weight data of the grains; A rice husk content estimation module, configured to: determine the estimated value of the rice husk content at the current moment according to the change conditions of the weight data of the removed substances; An adjustment coefficient acquisition module, configured to: determine the speed adjustment coefficient at the current moment according to the milling separation degree and the estimated value of the rice husk content at the current moment; A speed adjustment module, configured to: adjust the running speed of the rice milling abrasive belt at the current moment according to the speed adjustment coefficient at the current moment, and adjust the running speed of the rice milling abrasive belt based on the adjusted running speed.

[0005] Combined with the first aspect above, in some possible implementation manners, the milling separation degree acquisition module includes: A first weight difference value acquisition unit, configured to: determine the difference between the weight value of each moment in the weight data of the removed material and the weight value of its previous reference moment, to obtain a first weight difference value; A second weight difference value acquisition unit, configured to: determine the difference between the weight value of each moment in the weight data of the rice grains and the weight value of its previous reference moment, to obtain a second weight difference value; A milling separation degree acquisition unit, configured to: determine the ratio of the second weight difference value at the current moment to the first weight difference value at the target moment at the current moment, to obtain a first ratio, and determine the first ratio as the milling separation degree at the current moment, where the time interval between the target moment and the current moment is the time offset value of the weight data of the rice grains relative to the weight data of the removed material.

[0006] Combined with the first aspect above, in some possible implementation manners, the milling separation degree acquisition module further includes a time offset value determination unit, and the time offset value determination unit is configured to: Determine a first weight change time series sequence formed by the weight data of the removed material and a second weight change time series sequence formed by the weight data of the rice grains; For any time within a set time range , determine the correlation coefficient between the third weight change time series sequence obtained by moving the first weight change time series sequence on the time axis by time and the second weight change time series sequence; Determine the maximum value of the correlation coefficients obtained within the set time range, and use the time corresponding to the maximum value as the time offset value.

[0007] Combined with the first aspect above, in some possible implementation manners, the rice husk content estimation module includes: An impact strength determination unit, configured to determine the impact strength of the removed material at the current moment according to the fluctuation of the weight values of the removed material at the current moment and its adjacent previous moments in the weight data of the removed material; A rice husk content estimated value determination unit, configured to determine the estimated value of the rice husk content at the current moment according to the impact strength of the removed material, the impact strength of removing rice husks, and the impact strength of removing bran.

[0008] Combined with the first aspect described above, in some possible implementation manners, the impact strength determination unit is configured to: Smooth the weight data of the removed material to obtain the smoothed weight data; Compare the weight data of the removed material with the smoothed weight data to determine the residual term weight data; Taking the current moment as the starting point, determine a time window with a set window size forward, determine the variance of all residual weight values of the residual term weight data located in the time window, and use the variance as the impact strength of the removed material at the current moment.

[0009] Combined with the first aspect described above, in some possible implementation manners, the rice husk content estimated value determination unit is configured to: Determine the difference between the impact strength of the removed material and the impact strength of the removed bran to obtain the first impact strength difference; Determine the difference between the impact strength of the removed rice husk and the impact strength of the removed bran to obtain the second impact strength difference; Determine the ratio of the first impact strength difference and the second impact strength difference to obtain the second ratio, and determine the second ratio as the estimated value of the rice husk content at the current moment.

[0010] Combined with the first aspect described above, in some possible implementation manners, the adjustment coefficient acquisition module includes: The first adjustment coefficient determination module is configured to: if the milling separation degree is greater than the separation degree threshold, determine the speed adjustment coefficient at the current moment according to the difference between the milling separation degree and the separation degree threshold; The second adjustment coefficient determination module is configured to: if the milling separation degree is less than or equal to the separation degree threshold, determine the speed adjustment coefficient at the current moment according to the difference between the separation degree threshold and the milling separation degree, and the estimated value of the rice husk content.

[0011] Combined with the first aspect described above, in some possible implementation manners, the first adjustment coefficient determination module is configured to: Normalize the difference between the milling separation degree and the separation degree threshold to obtain the first normalized value, and determine the first normalized value as the speed adjustment coefficient at the current moment; The second adjustment coefficient determination module is configured to: Normalize the difference between the separation degree threshold and the milling separation degree to obtain the second normalized value; Determine the difference between the set value and the estimated value of the rice husk content to obtain the mapped value of the estimated value of the rice husk content; Determine the speed adjustment coefficient at the current moment according to the second normalization value and the mapped value of the estimated rice husk content.

[0012] Combined with the first aspect above, in some possible implementation manners, the speed adjustment module includes: A speed adjustment amount determination module, configured to: determine the product of the speed adjustment coefficient at the current moment and the maximum amount of sand belt speed adjustment, to obtain the sand belt speed adjustment amount; A speed determination module, configured to: determine the sum of the running speed of the rice milling sand belt at the current moment and the sand belt speed adjustment amount, and determine the sum value as the adjusted running speed.

[0013] In a second aspect, the present invention further provides an intelligent rice milling device, the device includes a rice milling device, the rice milling device is provided with a rice milling sand belt for grinding grains and whose running speed affects the grinding strength of the grains, and a separation device for separating the rice grains and the removed substances obtained after grinding during the rice milling process, and the device further includes an online process detection system according to any one of the above.

[0014] In a third aspect, the present invention further provides an online process detection method, the method is applied to a rice milling device, the rice milling device is provided with a rice milling sand belt for grinding grains and whose running speed affects the grinding strength of the grains, and a separation device for separating the rice grains and the removed substances obtained after grinding during the rice milling process, and the method includes the following steps: Obtain the weight data of the removed substances and the rice grains obtained after grinding during the rice milling process; Determine the milling and separation degree at the current moment according to the change situation of the weight data of the removed substances and the weight data of the rice grains; Determine the estimated rice husk content value at the current moment according to the change situation of the weight data of the removed substances; Determine the speed adjustment coefficient at the current moment according to the milling and separation degree and the estimated rice husk content value at the current moment; Adjust the running speed of the rice milling sand belt at the current moment according to the speed adjustment coefficient at the current moment, and perform running speed adjustment on the rice milling sand belt based on the adjusted running speed.

[0015] The present invention has the following beneficial effects: By monitoring the weight data of the removed materials and rice grains obtained after polishing during the rice milling process, and analyzing the changes in the monitored weight data of the removed materials and rice grains, the evaluation of the milling separation degree of the removed materials and rice grains and the husk content is realized, and then the speed adjustment coefficient is determined. Based on this speed adjustment coefficient, the running speed of the rice milling sand belt is adjusted, so as to realize the adaptive adjustment of the polishing force, retain the germ with higher nutritional components as much as possible while removing the husk and bran, avoid nutritional loss, and effectively improve the production quality of germinated rice. Brief Description of the Drawings

[0016] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0017] Figure 1 It is a schematic structural diagram of the rice milling equipment according to an embodiment of the present invention; Figure 2 It is a schematic diagram of the arrangement of small holes on the vibration base according to an embodiment of the present invention; Figure 3 It is a schematic diagram of the running speed of the polishing sand belt arranged on both sides of a certain row of small holes according to an embodiment of the present invention; Figure 4 It is a schematic structural diagram of the on-line process detection system according to an embodiment of the present invention; Figure 5 It is a weight change curve of the removed materials and rice grains when the husk content is high according to an embodiment of the present invention; Figure 6 It is a weight change curve of the removed materials and rice grains when the husk content is low according to an embodiment of the present invention; Figure 7 It is a step flowchart of an on-line process detection method according to an embodiment of the present invention; Among them: 1 represents the polishing sand belt, 2 represents the small holes, 3 represents the support rod, 4 represents the base, 5 represents the motor, 6 represents the filter screen, 7 represents the screw, 8 represents the first weighing sensor, 9 represents the second weighing sensor, 10 represents the paddy or rice grains, 11 represents the vibration base, 12 represents the side wall of the feed inlet, 13 represents the rice grain hopper, 14 represents the removed material hopper, 15 represents the rotating wheel, 201 represents the milling separation degree acquisition module, 202 represents the husk content estimation module, 203 represents the adjustment coefficient acquisition module, and 204 represents the speed adjustment module. Detailed Embodiments

[0018] To clearly illustrate the technical features of this solution, the present invention will be described in detail below through specific embodiments in combination with the drawings.

[0019] Embodiments of the present invention will be described in more detail below with reference to the drawings. Although some embodiments of the present invention are shown in the drawings, it should be understood that the present invention can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. On the contrary, these embodiments are provided to more thoroughly and completely understand the present invention. It should be understood that the drawings and embodiments of the present invention are only for exemplary purposes and are not used to limit the protection scope of the present invention.

[0020] It should be understood that the steps recited in the method embodiments of the present invention can be executed in a different order and / or in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present invention is not limited in this regard.

[0021] As used herein, the term "including" and its variants are open-ended, i.e., "including but not limited to". The term "based on" means "at least partially based on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". The relevant definitions of other terms will be given in the following description.

[0022] It should be noted that the concepts such as "first", "second", etc. mentioned in the present invention are only used to distinguish different devices, modules or units, and are not used to limit the order of functions performed by these devices, modules or units or their interdependent relationships.

[0023] In the embodiments of the present invention, although the operations or steps are described in a specific order in the drawings, it should not be understood as requiring these operations or steps to be performed in the specific order shown or in a serial order, or requiring all the operations or steps shown to obtain the desired result. In the embodiments of the present invention, these operations or steps can be executed serially; they can also be executed in parallel; or a part of these operations or steps can be executed.

[0024] At the same time, it can be understood that the data involved in the technical solution of the present invention (including but not limited to the data itself, the acquisition or use of the data) should comply with the requirements of the corresponding laws, regulations and related provisions. Unless otherwise defined, all the technical and scientific terms used in the present invention have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs, and all the parameters or indicators in the formulas involved in the present invention are numerical values after normalization to eliminate the influence of dimensions.

[0025] To solve the problem that the rice milling device uses a unified milling intensity, which easily leads to the over-removal of germ during the milling process, the embodiments of the present invention provide an intelligent rice milling device and an on-line process detection system. By real-time monitoring the weight changes of the removed materials and rice grains during the rice milling process, and analyzing the current milling effect and husk content, the running speed of the rice milling abrasive belt is dynamically feedback-regulated, ultimately realizing the intelligent control of the milling process, retaining the rice germ to the greatest extent, and effectively ensuring the nutritional quality of germinated rice.

[0026] Next, in conjunction with the drawings, a detailed introduction will be given to an intelligent rice milling device and an on-line process detection system provided by the embodiments of the present invention.

[0027] This embodiment provides an intelligent rice milling device, which is composed of a rice milling device and an on-line process detection system. As Figure 1 shown, the rice milling device is composed of a polishing abrasive belt 1, small holes 2, support rods 3, a base 4, a motor 5, a filter screen 6, a screw 7, a vibrating base 11, a rice grain hopper 13, a removed material hopper 14, a rotating wheel 15 and other structures. Among them, the base 4 is located at the bottom of the entire rice milling device, and a support rod 3 is arranged above the base 4. The base 4 and the support rod 3 provide stable support for the entire rice milling device, ensuring that the device will not displace or tilt due to vibration or external forces during operation, thus ensuring the normal operation of the device. The polishing device is supported and connected above the support rod 3, and a vibrating base 11 is arranged in the polishing device. As Figure 1 and Figure 2As shown in the figure, a plurality of rows of vertically arranged small holes 2 are provided on the vibration base 11. After the grains, namely paddy or rice grains 10, enter the rice milling equipment through the feed inlet (the side wall of the feed inlet is indicated by 12), the vibration base 11 can make the paddy or rice grains 10 vibrate and enter these small holes 2 through jitter. The size of the small holes 2 is designed to exactly accommodate the paddy or rice grains 10 to enter the small holes vertically. Grinding sand belts 1 are arranged on both sides of each row of small holes 2, and the grinding sand belts 1 move driven by the driving wheels 15. Among them, the rotating directions of the two grinding sand belts 1 arranged on both sides of each row of small holes 2 are the same, both rotating clockwise / counterclockwise. The paddy or rice grains 10 will be subjected to friction in different directions on both sides after entering the small holes 2. By adjusting the difference in the running speeds of the adjacent grinding sand belts 1, the grinding of the sides of the paddy or rice grains can be realized. The running speed of the grinding sand belt 1 will affect its grinding force on the paddy or rice grains. Based on the specific setting method of the grinding sand belt 1, when the running speeds of the two grinding sand belts 1 arranged on both sides of each row of small holes 2 are greater, the grinding force on the paddy or rice grains is greater. Since the above grinding method is to provide a plurality of rows of vertically arranged small holes 2 on the vibration base 11, and the vibration of the vibration base 1 can make the paddy or rice grains enter the small holes 2 in the vertical direction, it can ensure that the paddy or rice grains are in the same direction during the grinding process, which is beneficial to subsequent precise grinding. At the same time, in cooperation with the grinding sand belts arranged on both sides of each row of small holes, only the sides of the paddy or rice grains are ground, especially reducing the wear intensity at both ends of the rice grains (especially the germ part), which can greatly retain the germ part of the rice grains. On the basis of removing the rice husk and bran, the nutritional components after grinding the rice grains are retained. A separation device is arranged below the grinding device. The separation device is provided with a motor 5, a filter screen 6 and a screw 7. The rice grains and the removed substances obtained after being ground by the grinding device fall downward, and the fallen rice grains and the removed substances will be separated by the filter screen 6. At the same time, the motor 5 will drive the screw 7 to rotate. For example, if the rotation speed of the screw 7 is set to 5 revolutions per second, the separated rice grains will be conveyed. The separated rice grains and the removed substances will enter the rice grain hopper 13 and the removed material hopper 14 respectively.

[0028] As Figure 4 shown, the on-line process detection system includes a sensing module 100 and a processing module 200. Among them, the sensing module 100 includes Figure 1 the second weighing sensor 9 and the first weighing sensor 8 shown in the figure. The second weighing sensor 9 and the first weighing sensor 8 are respectively arranged at Figure 1The bottoms of the rice grain hopper 13 and the removed material hopper 14 shown in the figure are respectively used to measure the weight of the rice grains in the rice grain hopper 13 and the weight of the removed materials (rice husks or bran) in the removed material hopper 14 at a set frequency. For example, the set frequency can be set to 1 time per second. The processing module 200 is sampled and connected to the sensing module 100 for obtaining the weight data of the rice grains and the removed materials collected by the second weighing sensor 9 and the first weighing sensor 8 in the sensing module 100. During the rice milling process, the weight of the rice grains in the rice grain hopper 13 and the weight of the removed materials in the removed material hopper 14 will gradually increase. In order to analyze the two weight data obtained by the sensing module 100 to evaluate the real-time rice grain polishing situation, so as to adjust the rice grain polishing degree, while removing the rice husks and bran, the corresponding germ part is retained. The processing module 200 is specifically composed of four functional modules capable of realizing the corresponding functions. These four functional modules are respectively the milling separation degree obtaining module 201, the rice husk content estimation module 202, the adjustment coefficient obtaining module 203, and the speed adjustment module 204. These four functional modules can be implemented by one or more processors. The following will introduce each functional module in the processing module 200 in detail in combination with the specific implementation functions.

[0029] The milling separation degree obtaining module 201 is used to: determine the milling separation degree at the current moment according to the change conditions of the weight data of the removed materials and the weight data of the rice grains.

[0030] Specifically, during a single-round rice milling process, the weight value of the removed materials (rice husks and bran) obtained after polishing is collected by using the first weighing sensor 8, and the weight value of the rice grains obtained after polishing is collected by using the second weighing sensor 9, so that the weight data of the removed materials and the weight data of the rice grains obtained after polishing during the rice milling process can be obtained, and are respectively denoted as and .

[0031] Analyzing the change conditions of the weight data of the removed materials and the weight data of the rice grains , the milling separation degree at different moments can be determined to realize the quantification of the separation degree of the rice grains after milling at different moments. For example, the weight difference value at the same moment in the weight data of the removed materials and the weight data of the rice grains can be determined. Since the separation effect of the rice husk is better than that of the bran, when the weight difference value corresponding to the weight data of the removed materials is larger, and the weight difference value corresponding to the weight data of the rice grains is smaller, it indicates that the separation degree of the rice grains after milling is higher, and the corresponding value of the milling separation degree should be larger.

[0032] The rice husk content estimation module 202 is configured to: determine the estimated value of the rice husk content at the current moment according to the change of the weight data of the removed material.

[0033] Specifically, during the actual weight detection of the removed material, due to the difference in the quality of rice husks and bran, their impacts on the first weighing sensor 8 are different. Since the heavier rice husks have a greater impact on the first weighing sensor 8, the fluctuation of the weight data collected by the first weighing sensor 8 is larger than that of the weight data of the bran part. Therefore, by analyzing the fluctuation of the weight data of the removed material the rice husk content in the paddy before milling is estimated to determine the estimated value of the rice husk content at the current moment. For example, according to the fluctuation of the weight data of the removed material the impact intensity of the removed material on the first weighing sensor 8 at the current moment can be determined, and based on this impact intensity, the rice husk content in the paddy is evaluated to obtain the estimated value of the rice husk content at the current moment.

[0034] The adjustment coefficient acquisition module 203 is configured to: determine the speed adjustment coefficient at the current moment according to the milling separation degree and the estimated value of the rice husk content at the current moment.

[0035] Specifically, according to the obtained estimated value of the rice husk content at the current moment and combined with the milling separation degree at the current moment, the final milling force adjustment coefficient, that is, the speed adjustment coefficient, at the current moment can be obtained. For example, when the milling separation degree is large and the estimated value of the rice husk content is also large, it indicates that the substances to be removed from the paddy at this time include rice husks and bran parts, and a greater milling force is required, so the corresponding speed adjustment coefficient should be larger.

[0036] The speed adjustment module 204 is configured to: adjust the running speed of the rice milling abrasive belt at the current moment according to the speed adjustment coefficient at the current moment, and perform running speed regulation on the rice milling abrasive belt based on the adjusted running speed.

[0037] Specifically, at the initial moment of rice hulling, since the contents of rice husks and bran in rice are not fixed, that is, there may be some rice grains from which the rice husks or bran have been removed. Therefore, at the moment of starting milling, in order to protect the germ, a relatively small milling force needs to be applied at the initial moment. This milling force is mainly controlled by the running speed of the abrasive belts arranged on both sides of each row of small holes. During the process of regulating the running speed of the abrasive belts, based on the arrangement of the abrasive belts in the rice milling equipment provided in this embodiment, the running speeds of the abrasive belts with an interval of one abrasive belt can be regulated in sequence. Here, the abrasive belts that need to be regulated are called regulated abrasive belts, and the abrasive belts that do not need to be regulated are called non-regulated abrasive belts, and appropriate initial running speeds are set for each regulated abrasive belt and non-regulated abrasive belt. For example, the 1st, 3rd, 5th, 7th... abrasive belts are used as non-regulated abrasive belts, and the 2nd, 4th, 6th, 8th... abrasive belts are used as regulated abrasive belts. At the initial moment, the running speed of the non-regulated abrasive belts is set to 20 m / s, and the running speed of the regulated abrasive belts is set to 22 m / s. At this time, during the process of regulating the running speed of the abrasive belts, the running speeds of the 1st, 3rd, 5th, 7th... abrasive belts are maintained at 20 m / s, and the running speeds of the 2nd, 4th, 6th, 8th... abrasive belts are gradually adjusted according to the speed adjustment coefficient obtained at the current moment to achieve the adjustment of the milling force. Figure 3 Shows the running speed conditions of the abrasive belts arranged on both sides of a certain row of small holes 2.

[0038] When the running speed obtained after adjusting the running speed of the rice milling abrasive belts at the current moment is increased relative to the running speed of the rice milling abrasive belts at the current moment, the running speed difference between adjacent abrasive belts increases. At this time, the milling force on the rice grains with rice husks and bran increases, and the separation effect of impurities is better. On the contrary, due to only the presence of bran and other situations, the milling force is reduced, and the protection effect on the germ of the rice grains is better.

[0039] It should be understood that the main improvement point of the intelligent rice milling device provided in the embodiments of the present invention lies in the on-line process detection system, and this on-line process detection system is not only applicable to the Figure 1 and Figure 2 rice milling equipment shown in the above embodiments of the present invention, but also applicable to other types of rice milling equipment existing in the prior art. The common feature of this type of rice milling equipment is that during the rice milling process, the separation of the milled rice grains and the removed materials can be achieved, and the rice or rice grains are polished by the rice milling abrasive belts, and the running speed of the rice milling abrasive belts affects the milling force of the rice milling abrasive belts on the rice or rice grains. When the running speed is small, the milling force of the rice milling abrasive belts on the rice or rice grains is small, and vice versa, the milling force of the rice milling abrasive belts on the rice or rice grains is large.

[0040] The intelligent rice milling device provided in this embodiment introduces an on-line process detection system, and uses this on-line process detection system to monitor in real time the change of the weight data of the removed impurities and rice grains after polishing, determine the speed adjustment coefficient, and adjust the running speed of the rice milling abrasive belt based on this speed adjustment coefficient, so as to realize the adaptive adjustment of the polishing strength, retain the germ with higher nutritional components as much as possible while removing the rice husk and bran, avoid nutritional loss, and effectively improve the production quality of germinated rice. In addition, this intelligent rice milling device can also adapt to the milling requirements of different types of rice, ensuring the consistency and stability of the finished rice quality. It is a new type of rice milling device with both nutritional retention and intelligent control capabilities.

[0041] Further, in some possible implementation manners, the milling separation degree obtaining module 201 includes: The first weight difference value obtaining unit is used to: determine the difference between the weight value of each moment in the weight data of the removed object and the weight value of the previous reference moment, and obtain the first weight difference value.

[0042] The second weight difference value obtaining unit is used to: determine the difference between the weight value of each moment in the weight data of the rice grains and the weight value of the previous reference moment, and obtain the second weight difference value.

[0043] The milling separation degree obtaining unit is used to: determine the ratio of the second weight difference value at the current moment to the first weight difference value at the target moment at the current moment, obtain the first ratio, and determine the first ratio as the milling separation degree at the current moment. The time interval between the target moment and the current moment is the time offset value of the weight data of the rice grains relative to the weight data of the removed object.

[0044] Specifically, considering that during the polishing process, when the polished rice grains and the removed objects pass through the filter screen 6, with the different rotation speeds of the screw 7, there is a certain difference in the time for the rice grains and the removed objects from the same source to reach different hoppers. Therefore, before adjusting the polishing strength, first consider adjusting the time difference between the two weight data, and then determine the milling separation degree at the current moment based on the first weight difference value and the second weight difference value corresponding to the adjusted two weight data.

[0045] Further, in some possible implementation manners, the milling separation degree obtaining module 201 further includes a time offset value determining unit, and this time offset value determining unit is used to: determine the first weight change time series sequence formed by the weight data of the removed object and the weight change time series sequence formed by the weight data of the rice grains; for any time within the set time range determine to move the first weight change time series sequence on the time axis by time The correlation coefficient between the third weight change time series obtained later and the second weight change time series; determine the maximum value of the obtained correlation coefficient within the set time range, and use the time corresponding to the maximum value as the time offset value.

[0046] In this embodiment, the time offset value is determined by the following formula : ; In the formula: represents the weight data of the removed material The first weight change time series formed by after moving the time on the time axis by time The third weight change time series obtained; represents the weight data of the rice grains The second weight change time series formed by represents the third weight change time series and the second weight change time series The correlation coefficient between them, and this correlation coefficient can specifically be the Pearson correlation coefficient; represents the set time range, represents the function for finding the maximum point, that is, finding the time corresponding to the maximum value of function.

[0047] Based on the determined time offset value above, the corrected weight data of the removed material, that is, the weight data of the removed material after removing the time offset , and record this weight data as . At this time, the weight data and The weight changes at the same moment represent the weight of the removed material after polishing and the weight of the rice grains after removing the husk or bran of the same batch of paddy. Furthermore, based on the first weight difference value and the second weight difference value at the same moment in the weight data and , the separation degree after milling at different moments can be quantified.

[0048] In this embodiment, any moment is used as the current moment, and the milling separation degree at the moment is determined by the following formula : ; In the formula: represents the weight data of the removed material after removing the time lag at the moment the weight value under indicating the weight data of the removed matter after removing the time lag at the moment of the reference moment the weight value under indicating the differential time interval. To avoid large fluctuations in the differential values obtained at adjacent moments, it is recommended here that the value of represents the first weight difference value; indicating the weight data of the rice grains at the moment the weight value under indicating the weight data of the rice grains at the moment of the reference moment the weight value under represents the second weight difference value.

[0049] Furthermore, in some possible implementation manners, the rice husk content estimation module 202 includes: an impact strength determination unit, configured to determine the impact strength of the removed matter at the current moment according to the fluctuation conditions of the weight values of the removed matter at the current moment and its adjacent moments in front.

[0050] Specifically, the mass contents of rice husk, bran, germ, and polished rice in paddy are roughly as follows: a) Rice husk: The rice husk is the outermost lignified cellulose of paddy, accounting for about 20% of the total mass of paddy; b) Bran: The bran includes the exocarp, mesocarp, and seed coat, accounting for 5% - 6% of the total mass of paddy; c) Germ: The germ is located at the lower part of paddy, accounting for about 2% - 3% of the total mass of paddy; d) Polished rice: The polished rice is the product after removing the rice husk, bran, and germ from paddy, mainly composed of endosperm, accounting for 70% - 72% of the total mass of paddy.

[0051] Under the initial conditions, when milling paddy, since the separation effect of rice husk is better than that of bran and its mass is relatively large, when the rice husk content in the initially added paddy is high, at this time, under a relatively small milling force, the growth rate of the weight of the removed matter is still relatively fast, and the separation degree value is relatively large. On the contrary, when the removed matter is mainly bran, the separation degree value is relatively small.

[0052] In the actual weight monitoring process, when weight detection is performed on two different hoppers in real time, and removal materials and rice grains enter the hoppers, the falling speed and manner will cause impacts on the bottom or side walls of the hoppers. Such impact forces will instantaneously change the weight distribution inside the hoppers, thereby affecting the readings of the weighing sensors and resulting in fluctuations of different amplitudes in the weight data. Figure 5 shows the weight change curves of the removal materials and rice grains when the rice husk content is relatively high, Figure 6 shows the weight change curves of the removal materials and rice grains when the rice husk content is relatively low.

[0053] According to Figure 5 and Figure 6 it can be known that due to the difference in the quality of rice husks and bran, their impacts on the weighing sensors are different. The heavier rice husks have a greater impact on the weighing sensors, and the weight data collected by the weighing sensors fluctuates more significantly compared to the bran part. Therefore, by analyzing the fluctuations of the weight values of the removal materials at the current moment and the adjacent moments in front of it in the weight data of the removal materials, the impact intensity of the removal materials at the current moment is determined. Furthermore, based on this impact intensity of the removal materials, the rice husk content in the paddy before milling can be estimated.

[0054] Further, in some possible implementation manners, the impact intensity determination unit is configured to: perform smoothing processing on the weight data of the removal materials to obtain the smoothed weight data; compare the weight data of the removal materials with the smoothed weight data to determine the residual term weight data; determine a time window with a set window size forward starting from the current moment, and determine the variance of all the residual weight values in the residual term weight data located in the time window, and use the variance as the impact intensity of the removal materials at the current moment.

[0055] Specifically, perform smoothing processing on the weight data of the removal materials , such as using Gaussian filtering method for smoothing processing, to obtain the smoothed weight data . Compare the weight data of the removal materials with the smoothed weight data to obtain the residual term weight data . The higher the degree of fluctuation of the residual term weight data, the stronger the impact effect of the removal materials on the weighing sensor.

[0056] In this embodiment, for any moment i.e., the current moment, starting from the moment on the time axis, determine a time window with a set window size forward, such as setting the set window size to be , and based on the residual term weight data in this time window, determine the value at the moment through the following formula Debris impact strength : ; In the formula: represents the standard deviation function, which is used to calculate the standard deviation of all residual weight data in the time window; represents the value of the residual weight data at time .

[0057] The rice husk content estimation unit is used to determine the estimated value of the rice husk content at the current time according to the debris impact strength, the rice husk removal impact strength, and the bran removal impact strength.

[0058] Specifically, in the same way as determining the debris impact strength above, obtain the average value of the debris impact strength of the residual weight data obtained by removing the rice husk at different times when all the paddy is not husked, and use this average value as the rice husk removal impact strength, denoted as ; At the same time, obtain the average value of the debris impact strength of the residual weight data obtained by removing the bran when the paddy only contains bran at different times, and use this average value as the bran removal impact strength, denoted as . Then, based on the debris impact strength at time , the rice husk removal impact strength , and the bran removal impact strength , determine the estimated value of the rice husk content at time .

[0059] Further, in some possible implementation manners, the rice husk content estimation unit is used to: determine the difference between the debris impact strength and the bran removal impact strength to obtain a first impact strength difference; determine the difference between the rice husk removal impact strength and the bran removal impact strength to obtain a second impact strength difference; determine the ratio of the first impact strength difference and the second impact strength difference to obtain a second ratio, and determine the second ratio as the estimated value of the rice husk content at the current time. At this time, for any time , the estimated value of the rice husk content at time .

[0060] Further, in some possible implementation manners, the adjustment coefficient acquisition module 203 includes: The first adjustment coefficient determination module is used to: if the milling separation degree is greater than the separation degree threshold, determine the speed adjustment coefficient at the current time according to the difference between the milling separation degree and the separation degree threshold.

[0061] Specifically, during the milling process, when the rice husk content is relatively high, the degree of milling separation at the initial moment is relatively large, and the estimated value of the rice husk content is relatively high. At this time, the substances to be removed from the paddy include the rice husk and part of the bran. Since there are more substances to be removed, a greater milling force is required to perform better milling on it.

[0062] Further, in some possible implementation manners, the first adjustment coefficient determination module is configured to: perform normalization processing on the difference between the milling separation degree and the separation degree threshold to obtain a first normalized value, and determine the first normalized value as the speed adjustment coefficient at the current moment.

[0063] The second adjustment coefficient determination module is configured to: if the milling separation degree is less than or equal to the separation degree threshold, determine the speed adjustment coefficient at the current moment according to the difference between the separation degree threshold and the milling separation degree, and the estimated value of the rice husk content.

[0064] Specifically, during the milling process, when the milling separation degree at the initial moment is relatively small, it may be that the rice husk content is relatively low, or it may be that the initial milling force is insufficient, resulting in less rice husk removal. Therefore, the milling force can be further adjusted according to the change in the mass of the removed substances.

[0065] Further, in some possible implementation manners, the second adjustment coefficient determination module is configured to: perform normalization processing on the difference between the separation degree threshold and the milling separation degree to obtain a second normalized value; determine the difference between the set value and the estimated value of the rice husk content to obtain a mapped value of the estimated value of the rice husk content; and determine the speed adjustment coefficient at the current moment according to the second normalized value and the mapped value of the estimated value of the rice husk content.

[0066] In this embodiment, for any moment , the speed adjustment coefficient at moment is determined through the following formula : ; In the formula: represents the separation degree threshold. According to the proportion of the content of each substance in the paddy, in this embodiment, ; represents the normalization function, which is used to normalize the value to the range of [0, 1].

[0067] Further, in some possible implementation manners, the speed adjustment module 204 includes: The speed adjustment amount determination module is configured to: determine the product of the speed adjustment coefficient at the current moment and the maximum amount of sand belt speed adjustment to obtain the sand belt speed adjustment amount.

[0068] Specifically, when adjusting the milling intensity, according to the obtained speed adjustment coefficient at the current moment the speed adjustment coefficient , determine the abrasive belt speed adjustment amount, that is, calculate the product of the speed adjustment coefficient and the maximum allowable abrasive belt speed adjustment amount . Take this product as the abrasive belt speed adjustment amount. In this embodiment, the maximum value of the abrasive belt speed adjustment amount is set to 1.2 m / s.

[0069] The speed determination module is configured to: determine the sum of the running speed of the rice milling abrasive belt at the current moment and the abrasive belt speed adjustment amount, and determine the adjusted running speed as the sum value.

[0070] Specifically, based on the running speed of the rice milling abrasive belt at the current moment and the abrasive belt speed adjustment amount , determine the adjusted running speed = of the rice milling abrasive belt. Based on the adjusted running speed of the rice milling abrasive belt, adjust the running speeds of all controlled abrasive belts, so as to finally realize the adjustment of the subsequent milling intensity.

[0071] In this embodiment, the abrasive belt speed adjustment amount is determined by the speed adjustment coefficient at the current moment, and the appropriate running speed of the subsequent rice milling abrasive belt is determined based on this abrasive belt speed adjustment amount. During a single rice milling process, an adjustment time interval can be set, such as setting the adjustment time interval to 10 s, and every time this adjustment time interval passes, the running speed of the rice milling abrasive belt is adjusted once in the above manner.

[0072] Based on the same inventive concept, an embodiment of the present invention further provides an on-line process detection system. The system is applied to rice milling equipment. In the rice milling equipment, there is an abrasive belt for grinding grains, and the running speed of which will affect the milling intensity of the grains, and a separation device for separating the rice grains and the removed substances obtained after grinding during the rice milling process. The system includes a sensing module and a processing module. The processing module is sampled and connected to the sensing module. The sensing module includes a first weighing sensor and a second weighing sensor respectively used for collecting the weight data of the removed substances and the rice grains obtained after grinding during the rice milling process. The processing module includes: The milling and separation degree acquisition module is configured to: determine the milling and separation degree at the current moment according to the change of the weight data of the removed substances and the weight data of the rice grains; A rice husk content estimation module, configured to: determine an estimated value of the rice husk content at the current moment according to the change of the weight data of the removed materials; An adjustment coefficient acquisition module, configured to: determine a speed adjustment coefficient at the current moment according to the degree of milling and separation and the estimated value of the rice husk content at the current moment; A speed adjustment module, configured to: adjust the running speed of the rice milling sand belt at the current moment according to the speed adjustment coefficient at the current moment, and perform running speed regulation on the rice milling sand belt based on the adjusted running speed.

[0073] Since each module in this on-line process detection system and the functions implemented by the module have been introduced in detail in the above intelligent rice milling device, this on-line process detection system will not be elaborated here.

[0074] Based on the same inventive concept, an embodiment of the present invention further provides an on-line process detection method, which is applied to a rice milling device. In the rice milling device, there is a rice milling sand belt for polishing grains and whose running speed affects the milling force on the grains, and a separation device for separating the rice grains and the removed materials obtained after polishing during the rice milling process, as Figure 7 shown. The method includes the following steps: Obtain the weight data of the removed materials and the rice grains obtained after polishing during the rice milling process; Determine the degree of milling and separation at the current moment according to the change of the weight data of the removed materials and the weight data of the rice grains; Determine an estimated value of the rice husk content at the current moment according to the change of the weight data of the removed materials; Determine a speed adjustment coefficient at the current moment according to the degree of milling and separation and the estimated value of the rice husk content at the current moment; Adjust the running speed of the rice milling sand belt at the current moment according to the speed adjustment coefficient at the current moment, and perform running speed regulation on the rice milling sand belt based on the adjusted running speed.

[0075] Since each step in this on-line process detection method corresponds to the functions implemented by each module included in the on-line process detection system in the above intelligent rice milling device, and the functions implemented by each module included in the on-line process detection system have been introduced in detail above, this on-line process detection method will not be elaborated here.

[0076] It should be noted that the above-described embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. An on-line process detection system, characterized in that The system is applied to a rice milling device, in which there is a rice milling abrasive belt for grinding grains and whose running speed affects the grinding intensity of the grains, and a separation device for separating the rice grains and the removed substances obtained after grinding during the rice milling process. The system includes a sensing module and a processing module. The processing module is sampled and connected to the sensing module. The sensing module includes a first weighing sensor and a second weighing sensor respectively used for collecting the weight data of the removed substances and the rice grains obtained after grinding during the rice milling process. The processing module includes: A grinding and separation degree acquisition module for: determining the grinding and separation degree at the current moment according to the change conditions of the weight data of the removed substances and the weight data of the rice grains; A rice husk content estimation module for: determining the estimated value of the rice husk content at the current moment according to the change condition of the weight data of the removed substances; An adjustment coefficient acquisition module for: determining the speed adjustment coefficient at the current moment according to the grinding and separation degree and the estimated value of the rice husk content at the current moment; A speed adjustment module for: adjusting the running speed of the rice milling abrasive belt at the current moment according to the speed adjustment coefficient at the current moment, and adjusting the running speed of the rice milling abrasive belt based on the adjusted running speed.

2. An on-line process detection system according to claim 1, characterized in that, The grinding and separation degree acquisition module includes: A first weight difference value acquisition unit for: determining the difference between the weight value of each moment in the weight data of the removed substances and the weight value of its previous reference moment, to obtain a first weight difference value; A second weight difference value acquisition unit for: determining the difference between the weight value of each moment in the weight data of the rice grains and the weight value of its previous reference moment, to obtain a second weight difference value; A grinding and separation degree acquisition unit for: determining the ratio of the second weight difference value at the current moment to the first weight difference value at the target moment at the current moment, to obtain a first ratio, and determining the first ratio as the grinding and separation degree at the current moment. The time interval between the target moment and the current moment is the time offset value of the weight data of the rice grains relative to the weight data of the removed substances.

3. An on-line process detection system according to claim 2, characterized in that, The grinding and separation degree acquisition module further includes a time offset value determination unit, and the time offset value determination unit is used for: Determining a first weight change time series sequence formed by the weight data of the removed substances and a second weight change time series sequence formed by the weight data of the rice grains; For any time within a set time range , determine the correlation coefficient between the third weight change time series obtained by shifting the first weight change time series by time on the time axis and the second weight change time series; Determine the maximum value of the obtained correlation coefficient within the specified time range, and use the time corresponding to the maximum value as the time offset value.

4. An on-line process detection system according to claim 1, characterized in that, The rice husk content estimation module includes: An impact strength determination unit for determining the impact strength of the removed substances at the current moment according to the fluctuation condition of the weight values of the removed substances at the current moment and its adjacent previous moments in the weight data of the removed substances; A rice husk content estimated value determination unit for determining the estimated value of the rice husk content at the current moment according to the impact strength of the removed substances, the impact strength of removing rice husks, and the impact strength of removing bran; 5. An on-line process detection system according to claim 4, characterized in that, The impact strength determination unit is used for: Performing smoothing processing on the weight data of the removed substances to obtain the smoothed weight data; Comparing the weight data of the removed substances with the smoothed weight data to determine the residual term weight data; Taking the current moment as the starting point, determine a time window with a set window size forward, determine the variance of all residual weight values within the time window in the residual term weight data, and use the variance as the removal impact strength at the current moment.

6. An on-line process detection system according to claim 4, characterized in that, The rice husk content estimation value determination unit is configured to: Determine the difference between the removal impact strength and the bran removal impact strength to obtain a first impact strength difference; Determine the difference between the rice husk removal impact strength and the bran removal impact strength to obtain a second impact strength difference; Determine the ratio of the first impact strength difference to the second impact strength difference to obtain a second ratio, and determine the second ratio as the rice husk content estimation value at the current moment.

7. An on-line process detection system according to claim 1, characterized in that, The adjustment coefficient acquisition module includes: The first adjustment coefficient determination module is configured to: if the milling separation degree is greater than the separation degree threshold, determine the speed adjustment coefficient at the current moment according to the difference between the milling separation degree and the separation degree threshold; The second adjustment coefficient determination module is configured to: if the milling separation degree is less than or equal to the separation degree threshold, determine the speed adjustment coefficient at the current moment according to the difference between the separation degree threshold and the milling separation degree, and the rice husk content estimation value.

8. An on-line process detection system according to claim 7, characterized in that, The first adjustment coefficient determination module is configured to: Perform normalization processing on the difference between the milling separation degree and the separation degree threshold to obtain a first normalized value, and determine the first normalized value as the speed adjustment coefficient at the current moment; The second adjustment coefficient determination module is configured to: Perform normalization processing on the difference between the separation degree threshold and the milling separation degree to obtain a second normalized value; Determine the difference between the set value and the rice husk content estimation value to obtain a rice husk content estimation value mapping value; Determine the speed adjustment coefficient at the current moment according to the second normalized value and the rice husk content estimation value mapping value.

9. An on-line process detection system according to claim 1, characterized in that, The speed adjustment module includes: The speed adjustment amount determination module is configured to: determine the product of the speed adjustment coefficient at the current moment and the maximum amount of abrasive belt speed adjustment to obtain the abrasive belt speed adjustment amount; The speed determination module is configured to: determine the sum of the running speed of the rice milling abrasive belt at the current moment and the abrasive belt speed adjustment amount, and determine the sum as the adjusted running speed.

10. An intelligent rice milling device, the device comprising a rice milling equipment, wherein a rice milling abrasive belt for polishing grains and whose running speed affects the milling strength of the grains is arranged in the rice milling equipment, and a separation equipment for separating the rice grains and the removed substances obtained after polishing during the rice milling process, characterized in that, The device further includes an on-line process detection system according to any one of claims 1-9.

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