An intelligent rice milling device and online process detection system

Abstract

The present invention relates to the field of grain milling technology, specifically to an intelligent rice milling device and online process detection system. The detection system includes a sensing module and a processing module. The processing module is connected to the sensing module for sampling. The sensing module includes a first load cell and a second load cell for respectively collecting weight data of the removed material and rice grains obtained after milling during the rice milling process. The processing module includes a milling separation degree acquisition module, a rice husk content estimation module, an adjustment coefficient acquisition module, and a speed adjustment module. The speed of the rice milling belt is adjusted by analyzing the weight data of the removed material and the weight data of the rice grains. By real-time monitoring of the weight changes of the removed material and the rice grains during the rice milling process and feedback-adjusting the speed of the rice milling belt, the present invention can maximize the preservation of the rice grain germ and effectively improve the nutritional quality of germ-rich rice.

Description

Technical Field

[0001] The present invention relates to the technical field of grain milling, and in particular to an intelligent rice milling device and an online process detection system. Background Art

[0002] Germ-sprouted rice refers to rice that has its germ retained during the milling process. Combining the nutritional value of brown rice with the taste of polished rice, it has become increasingly popular with consumers in recent years. As the most nutritious part of rice, the germ is rich in B vitamins, vitamin E, dietary fiber, unsaturated fatty acids, and other nutrients. It has positive effects on promoting metabolism, boosting immunity, and helping to lower blood lipids. Compared to polished rice, which has the germ completely removed, germ-sprouted rice offers significant advantages in health benefits and nutritional balance. Therefore, effectively retaining the germ during the milling process is a key research area for increasing the added value of rice and meeting market demand for healthy consumption.

[0003] Most existing rice milling devices use uniform milling intensity and fixed grinding methods, lack the ability to identify and specifically process differences in rice grain structure, and are unable to adjust the grinding intensity according to different rice types or current milling status. As a result, the germ is easily excessively 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 online process detection system. The technical solutions adopted are as follows:

[0005] In a first aspect, the present invention provides an online process detection system, which is applied to rice milling equipment, wherein the rice milling equipment is provided with a rice milling belt for grinding grains and the running speed of which affects the grinding force of the grains, and a separation device for separating rice grains and removed materials obtained after grinding during the rice milling process. The system includes a sensing module and a processing module, the processing module samplingly connected to the sensing module, the sensing module including a first weighing sensor and a second weighing sensor for respectively collecting weight data of the removed materials and rice grains obtained after grinding during the rice milling process, and the processing module includes:

[0006] a grinding separation degree acquisition module, configured to determine the grinding separation degree at a current moment based on the weight data of the removed matter and the change in the weight data of the rice grains;

[0007] a rice husk content estimation module, configured to determine an estimated value of the rice husk content at a current moment according to a change in the weight data of the removed matter;

[0008] An adjustment coefficient acquisition module is used to: determine a speed adjustment coefficient at a current moment according to the grinding separation degree and the estimated rice husk content at a current moment;

[0009] The speed adjustment module is used to adjust the running speed of the rice milling belt at the current moment according to the speed adjustment coefficient at the current moment, and adjust the running speed of the rice milling belt based on the adjusted running speed.

[0010] In combination with the first aspect above, in some possible implementations, the grinding separation degree acquisition module includes:

[0011] a first weight difference value obtaining unit, configured to determine a difference between the weight value at each moment and the weight value at a previous reference moment in the weight data of the removed object, to obtain a first weight difference value;

[0012] a second weight difference value obtaining unit, configured to determine a difference between the weight value of the rice grains at each moment and the weight value at a previous reference moment in the weight data of the rice grains, to obtain a second weight difference value;

[0013] A grinding separation degree acquisition 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 of the current moment, obtain a first ratio, and determine the first ratio as the grinding separation degree at the current moment, and 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 matter.

[0014] In combination with the first aspect above, in some possible implementations, the grinding separation degree acquisition module further includes a time offset value determination unit, wherein the time offset value determination unit is configured to:

[0015] determining a first weight change time series sequence consisting of weight data of the removed objects and a second weight change time series sequence consisting of weight data of the rice grains;

[0016] For any time within the set time range , determine the time to move the first weight change time series on the time axis The correlation coefficient between the third weight change time series sequence obtained and the second weight change time series sequence;

[0017] Determine the maximum value of the correlation coefficient obtained within the set time range, and set the time corresponding to the maximum value As a time offset value.

[0018] In combination with the first aspect above, in some possible implementations, the rice husk content estimation module includes:

[0019] an impact strength determination unit, configured to determine the impact strength of the removed object at a current moment according to fluctuations in the weight values of the removed object at the current moment and at previous adjacent moments in the weight data of the removed object;

[0020] The rice husk content estimated value determining unit is used to determine the rice husk content estimated value at the current moment according to the removal material impact strength, the rice husk removal impact strength and the chaff removal impact strength.

[0021] In combination with the first aspect above, in some possible implementations, the impact strength determination unit is configured to:

[0022] performing smoothing processing on the weight data of the removed objects to obtain smoothed weight data;

[0023] Comparing the weight data of the removed object with the weight data after smoothing to determine the weight data of the residual item;

[0024] A time window of a set window size is determined starting from the current moment, the variance of all residual weight values in the residual item weight data located in the time window is determined, and the variance is used as the impact strength of the removed material at the current moment.

[0025] In combination with the first aspect above, in some possible implementations, the rice husk content estimated value determining unit is configured to:

[0026] determining a difference between the impact strength of the removed material and the impact strength of the removed chaff to obtain a first impact strength difference;

[0027] Determining the difference between the impact strength after removing the rice husk and the impact strength after removing the chaff to obtain a second impact strength difference;

[0028] A ratio of the first impact strength difference to the second impact strength difference is determined to obtain a second ratio, and the second ratio is determined as an estimated value of the rice husk content at the current moment.

[0029] In conjunction with the first aspect above, in some possible implementations, the adjustment coefficient acquisition module includes:

[0030] a first adjustment coefficient determination module configured to: determine a speed adjustment coefficient at a current moment according to a difference between the milling separation degree and the separation degree threshold if the milling separation degree is greater than the separation degree threshold;

[0031] The second adjustment coefficient determination module is used to: if the grinding 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 grinding separation degree and the estimated rice husk content.

[0032] In conjunction with the foregoing first aspect, in some possible implementations, the first adjustment coefficient determination module is configured to:

[0033] Normalizing the difference between the grinding separation degree and the separation degree threshold to obtain a first normalized value, and determining the first normalized value as a speed adjustment coefficient at a current moment;

[0034] The second adjustment coefficient determination module is configured to:

[0035] normalizing the difference between the separation degree threshold and the grinding separation degree to obtain a second normalized value;

[0036] determining a difference between a set value and the estimated rice husk content value to obtain a rice husk content estimated value mapping value;

[0037] A speed adjustment coefficient at a current moment is determined according to the second normalized value and the rice husk content estimated value mapping value.

[0038] In combination with the first aspect above, in some possible implementations, the speed adjustment module includes:

[0039] A speed adjustment amount determination module is used to: determine the product of the speed adjustment coefficient and the maximum amount of the sanding belt speed adjustment at the current moment to obtain the sanding belt speed adjustment amount;

[0040] The speed determination module is used to determine the sum of the running speed of the rice milling belt and the speed adjustment amount of the belt at the current moment, and determine the sum as the adjusted running speed.

[0041] In a second aspect, the present invention further provides an intelligent rice milling device, comprising a rice milling device, wherein the rice milling device is provided with a rice milling belt for grinding grains and the running speed of which affects the grinding force of the grains, and a separation device for separating rice grains obtained after grinding and removed materials during the rice milling process. The device also includes an online process detection system as described in any of the above items.

[0042] In a third aspect, the present invention further provides an online process detection method, which is applied to a rice milling device, wherein the rice milling device is provided with a rice milling belt for grinding grains, the running speed of which affects the grinding force of the grains, and a separation device for separating rice grains obtained after grinding and removed materials during the rice milling process, and the method comprises the following steps:

[0043] Obtaining weight data of removed materials and rice grains after grinding during rice milling;

[0044] determining the degree of grinding separation at a current moment based on the weight data of the removed matter and the change in the weight data of the rice grains;

[0045] determining an estimated value of rice husk content at a current moment according to a change in the weight data of the removed matter;

[0046] determining a speed adjustment coefficient at the current moment according to the grinding separation degree and the estimated rice husk content at the current moment;

[0047] According to the speed adjustment coefficient at the current moment, the running speed of the rice milling sand belt at the current moment is adjusted, and the running speed of the rice milling sand belt is regulated based on the adjusted running speed.

[0048] The present invention has the following beneficial effects: the present invention monitors the weight data of the removed materials and rice grains obtained after grinding in the rice milling process, and analyzes the changes in the monitored weight data of the removed materials and rice grains to achieve the evaluation of the grinding separation degree of the removed materials and rice grains and the rice husk content, and then determines the speed adjustment coefficient, and adjusts the running speed of the rice milling sand belt based on the speed adjustment coefficient, thereby achieving adaptive adjustment of the grinding force, so that while removing the rice husk and bran, the germ with higher nutritional content is retained as much as possible, avoiding nutritional loss, and effectively improving the production quality of germ rice. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0050] Figure 1 This is a structural diagram of a rice milling device according to an embodiment of the present invention;

[0051] Figure 2 Schematic diagram of the arrangement of small holes on the vibration base according to an embodiment of the present invention;

[0052] Figure 3 A schematic diagram of the running speed of the grinding belts provided on both sides of a row of small holes according to an embodiment of the present invention;

[0053] Figure 4 Schematic diagram of the structure of an online process detection system according to an embodiment of the present invention;

[0054] Figure 5 This is a weight change curve of the removed matter and rice grains when the rice husk content is high according to an embodiment of the present invention;

[0055] Figure 6 This is a weight change curve of the removed material and rice grains when the rice husk content is low according to an embodiment of the present invention;

[0056] Figure 7 This is a flowchart of the steps of an online process detection method according to an embodiment of the present invention;

[0057] Among them: 1 represents a grinding belt, 2 represents a small hole, 3 represents a support rod, 4 represents a base, 5 represents a motor, 6 represents a filter screen, 7 represents a screw, 8 represents a first weighing sensor, 9 represents a second weighing sensor, 10 represents rice or rice grains, 11 represents a vibration base, 12 represents a side wall of a feed port, 13 represents a rice grain hopper, 14 represents a material removal hopper, 15 represents a rotating wheel, 201 represents a grinding separation degree acquisition module, 202 represents a rice husk content estimation module, 203 represents an adjustment coefficient acquisition module, and 204 represents a speed adjustment module. DETAILED DESCRIPTION

[0058] In order to clearly illustrate the technical features of this solution, the present invention is described in detail below through specific implementation methods in conjunction with the accompanying drawings.

[0059] Embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present invention are shown in the accompanying 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 described herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of the present invention. It should be understood that the drawings and embodiments of the present invention are for illustrative purposes only and are not intended to limit the scope of protection of the present invention.

[0060] It should be understood that the various steps described in the method embodiments of the present invention may be performed in different orders 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 respect.

[0061] As used herein, the term "including" and its variations are open-ended, i.e., "including but not limited to." The term "based on" means "based, at least in part, on." The term "one embodiment" means "at least one embodiment," the term "another embodiment" means "at least one additional embodiment," and the term "some embodiments" means "at least some embodiments." Other terms are defined in the following description.

[0062] It should be noted that the concepts of "first" and "second" mentioned in the present invention are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0063] Although operations or steps are described in a particular order in the drawings in the embodiments of the present invention, this should not be understood as requiring that these operations or steps be performed in the particular order shown or in a serial order, or that all of the operations or steps shown be performed to obtain a desired result. In the embodiments of the present invention, these operations or steps may be performed serially; they may also be performed in parallel; or a portion of these operations or steps may be performed.

[0064] At the same time, it is understood that the data involved in the technical solutions of the present invention (including but not limited to the data itself, the acquisition or use of the data) must comply with the requirements of relevant laws, regulations and relevant provisions. Unless otherwise defined, all technical and scientific terms used in this invention have the same meanings as those commonly understood by those skilled in the art to which this invention belongs, and all parameters or indicators in the formulas involved in this invention are normalized values to eliminate dimension effects.

[0065] In order to solve the problem that the rice milling device adopts a uniform milling intensity, which leads to excessive removal of the germ during the milling process, the embodiment of the present invention provides an intelligent rice milling device and an online process detection system. By real-time monitoring of the weight changes of the removed materials and rice grains during the rice milling process, and analyzing the current milling effect and rice husk content, the running speed of the rice milling belt is dynamically adjusted through feedback, and ultimately intelligent control of the milling process is achieved, the germ of the rice grains is retained to the greatest extent, and the nutritional quality of the germ rice is effectively guaranteed.

[0066] An intelligent rice milling device and an online process detection system provided by the embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0067] This embodiment provides an intelligent rice milling device, which is composed of rice milling equipment and an online process detection system. Figure 1 As shown, the rice milling equipment is composed of a grinding belt 1, small holes 2, support rods 3, base 4, motor 5, filter screen 6, screw 7, vibration base 11, rice grain hopper 13, material removal hopper 14, rotating wheel 15 and other structures. Among them, the base 4 is located at the bottom of the entire rice milling equipment, and the support rods 3 are arranged above the base 4. The base 4 and the support rods 3 provide stable support for the entire rice milling equipment, ensuring that the equipment will not be displaced or tilted due to vibration or external forces during operation, thereby ensuring the normal operation of the equipment. The upper support of the support rod 3 is connected to the grinding equipment, and the grinding equipment is provided with a vibration base 11, as shown in FIG. Figure 1 and Figure 2As shown, the vibrating base 11 is provided with multiple rows of vertically arranged small holes 2. After grains, such as rice grains 10, enter the rice milling equipment through the feed inlet (12 represents the sidewall of the feed inlet), the vibrating base 11 vibrates to shake the rice grains 10 into these small holes 2. The holes 2 are sized to precisely accommodate the rice grains 10 vertically entering the holes. Abrasive belts 1 are positioned on either side of each row of holes 2, driven by a drive wheel 15. The two abrasive belts 1 on either side of each row of holes 2 rotate in the same clockwise / counterclockwise direction. After entering the holes 2, the rice grains 10 are subjected to friction on both sides in different directions. By adjusting the speed differences between adjacent abrasive belts 1, the sides of the rice grains can be polished. The running speed of the grinding belt 1 will affect the grinding force of the rice or rice grains. Based on the specific setting method of the grinding belt 1, the greater the running speed of the two grinding belts 1 set on both sides of each row of small holes 2, the greater the grinding force on the rice or rice grains. Since the above-mentioned grinding method is to open multiple rows of vertically arranged small holes 2 on the vibration base 11, and the vibration of the vibration base 1 can make the rice or rice grains enter the small holes 2 in a vertical direction, it can ensure that the rice or rice grains have the same direction during the grinding process, which is conducive to subsequent precise grinding. At the same time, with the grinding belts set on both sides of each row of small holes, only the sides of the rice or rice grains are ground, especially at the two ends of the rice grains (especially the germ part) to reduce the wear intensity, the germ part of the rice grains can be retained to a great extent, and the nutritional components of the rice grains after grinding can be retained on the basis of removing the rice husk and bran. Below the grinding device is a separation device equipped with a motor 5, a filter 6, and a screw 7. After grinding, the rice grains and waste products fall downward and are separated through the filter 6. Simultaneously, the motor 5 drives the screw 7 to rotate, for example at a speed of 5 revolutions per second, to convey the separated rice grains. The separated rice grains and waste products enter a rice grain hopper 13 and a waste product hopper 14, respectively.

[0068] like Figure 4 As shown, the online process detection system includes a sensor module 100 and a processing module 200. The sensor module 100 includes Figure 1 The second load cell 9 and the first load cell 8 shown in FIG are respectively arranged on Figure 1The bottoms of the rice hopper 13 and the removal hopper 14 shown in FIG. are used to measure the weight of the rice grains in the rice hopper 13 and the weight of the removed matter (rice husks or rice bran) in the removal hopper 14, respectively, at a set frequency, such as 1 time per second. The processing module 200 is connected to the sensor module 100 for sampling and acquiring the weight data of the rice grains and the removed matter collected by the second load cell 9 and the first load cell 8 in the sensor 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 gradually increase. In order to analyze the two weight data obtained by the sensor module 100 to achieve real-time evaluation of the rice grain grinding status and thus adjust the rice grain grinding degree so that the corresponding germ portion is retained while removing the rice husk and bran, the processing module 200 is specifically composed of four functional modules that can perform corresponding functions. These four functional modules are respectively a grinding separation degree acquisition module 201, a rice husk content estimation module 202, an adjustment coefficient acquisition module 203, and a speed adjustment module 204. These four functional modules can be implemented by one or more processors. The following is a detailed introduction to each functional module in the processing module 200 in conjunction with its specific implementation function.

[0069] The grinding separation degree acquisition module 201 is used to determine the grinding separation degree at the current moment according to the weight data of the removed matter and the change in the weight data of the rice grains.

[0070] Specifically, in a single round of rice milling, the weight of the removed materials (rice husks and bran) obtained after grinding is collected by the first weighing sensor 8, and the weight of the rice grains obtained after grinding is collected by the second weighing sensor 9, so that the weight data of the removed materials obtained after grinding and the weight data of the rice grains can be obtained and recorded as and .

[0071] Weight data for removal and rice grain weight data By analyzing the changes in the value of the grinding separation at different times, the degree of separation of the rice grains after grinding at different times can be determined, so as to quantify the degree of separation of the rice grains after grinding at different times. For example, the weight data of the removed matter can be determined. and rice grain weight data The weight difference value at the same time, because the separation effect of rice husk is better than that of bran, when the weight data of the removed The corresponding weight difference is large, and the weight data of rice grains When the corresponding weight difference value is smaller, it means that the degree of separation of the rice grains after grinding is higher, and the corresponding value of the grinding separation degree should be larger.

[0072] The rice husk content estimation module 202 is configured to determine an estimated value of the rice husk content at a current moment according to changes in the weight data of the removed matter.

[0073] Specifically, during the actual weight detection process of the removed objects, due to the difference in mass between rice husks and bran, the impact on the first weighing sensor 8 is 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 bran. The fluctuation of the husk content is analyzed to estimate the husk content in the rice before milling, thereby determining the estimated value of the husk content at the current moment. The impact strength of the removed matter on the first weighing sensor 8 at the current moment is determined based on the fluctuation of the weight, and the rice husk content in the rice is evaluated based on the impact strength, thereby obtaining an estimated value of the rice husk content at the current moment.

[0074] The adjustment coefficient acquisition module 203 is used to determine the speed adjustment coefficient at the current moment according to the grinding separation degree and the rice husk content estimation value at the current moment.

[0075] Specifically, the estimated rice husk content at the current moment, combined with the current degree of separation, can be used to determine the final grinding force adjustment coefficient, or speed adjustment coefficient, at the current moment. For example, if the degree of separation is high and the estimated rice husk content is also high, it means that the rice grains that need to be removed include rice husks and bran, requiring greater grinding force, and the corresponding speed adjustment coefficient should be larger.

[0076] The speed adjustment module 204 is configured to adjust the running speed of the rice milling belt at the current moment according to the speed adjustment coefficient at the current moment, and regulate the running speed of the rice milling belt based on the adjusted running speed.

[0077] Specifically, at the initial stage of rice grain removal, the amount of husk and bran contained in the rice grains is not constant, meaning that some rice grains may have lost their husks or bran. Therefore, at the start of milling, a lower milling force is required to protect the germ. This milling force is primarily controlled by the operating speed of the abrasive belts positioned on both sides of each row of small holes. In regulating the operating speed of the abrasive belts, based on the arrangement of the abrasive belts in the rice milling equipment provided in this embodiment, the operating speed of every other abrasive belt can be regulated sequentially. Here, the abrasive belts that require regulation are referred to as regulated belts, and the abrasive belts that do not require regulation are referred to as non-regulated belts. Appropriate initial operating speeds are set for each regulated and non-regulated belt. For example, consider the 1st, 3rd, 5th, 7th, and so on abrasive belts as unregulated abrasive belts, and the 2nd, 4th, 6th, 8th, and so on abrasive belts as regulated abrasive belts. Initially, the unregulated abrasive belts are set to 20 m / s, and the regulated abrasive belts are set to 22 m / s. During the speed adjustment process, the 1st, 3rd, 5th, 7th, and so on abrasive belts are maintained at 20 m / s, and the 2nd, 4th, 6th, 8th, and so on abrasive belts are gradually adjusted based on the speed adjustment coefficients obtained at the current moment to adjust the grinding intensity. Figure 3 The figure shows the running speed of the grinding belts arranged on both sides of a row of small holes 2.

[0078] When the running speed obtained after adjusting the running speed of the rice milling sand belt at the current moment increases relative to the running speed of the rice milling sand belt at the current moment, the running speed difference of adjacent sand belts increases. At this time, the grinding force for rice with rice husks and bran is increased, and the effect of separating impurities is better. On the contrary, the grinding force will be reduced due to the presence of only bran, etc., and the protection effect on the germ of rice grains will be better.

[0079] It should be understood that the main improvement of the intelligent rice milling device provided by the embodiment of the present invention lies in the online process detection system, and the online process detection system is not only applicable to the above-mentioned embodiment provided Figure 1 and Figure 2 The rice milling equipment shown in the figure can also be applied to other types of rice milling equipment in the prior art. The common characteristics of this type of rice milling equipment are: the rice grains obtained after grinding and the removed materials can be separated during the rice milling process, and the rice or rice grains are ground by the rice milling sand belt. The running speed of the rice milling sand belt will affect the grinding force of the rice milling sand belt on the rice or rice grains. When the running speed is low, the grinding force of the rice milling sand belt on the rice or rice grains is small. In any case, the grinding force of the rice milling sand belt on the rice or rice grains is large.

[0080] The intelligent rice milling device provided in this embodiment incorporates an online process detection system. This system monitors the removal of debris and changes in rice grain weight after grinding in real time, determines a speed adjustment coefficient, and adjusts the speed of the rice milling belt based on this speed adjustment coefficient. This achieves adaptive adjustment of the grinding force, thereby removing rice husks and bran while preserving the nutrient-rich germ as much as possible, avoiding nutritional loss and effectively improving the quality of germ-infused rice. Furthermore, this intelligent rice milling device can adapt to the milling requirements of different rice types, ensuring the consistency and stability of the finished rice quality. It is a novel rice milling device that combines nutrient retention with intelligent control capabilities.

[0081] Furthermore, in some possible implementations, the grinding separation degree acquisition module 201 includes:

[0082] The first weight difference value obtaining unit is used to determine the difference between the weight value at each moment and the weight value at the previous reference moment in the weight data of the removed object to obtain a first weight difference value.

[0083] The second weight difference value obtaining unit is used to determine the difference between the weight value of the rice grains at each moment and the weight value at a previous reference moment in the weight data of the rice grains to obtain a second weight difference value.

[0084] A grinding separation degree acquisition 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 of the current moment, obtain a first ratio, and determine the first ratio as the grinding separation degree at the current moment, and 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 matter.

[0085] Specifically, during the grinding process, the time it takes for rice grains and waste to reach different hoppers varies depending on the speed of screw 7 as they pass through filter 6. Therefore, before adjusting the grinding intensity, the time difference between the two weight data sets is first adjusted. The current degree of grinding separation is then determined based on the adjusted first and second weight difference values corresponding to the two weight data sets.

[0086] Furthermore, in some possible implementations, the grinding separation degree acquisition module 201 further includes a time offset value determination unit, which is used to: determine a first weight change time series sequence composed of the weight data of the removed objects and a weight change time series sequence composed of the weight data of the rice grains; for any time within the set time range, , determine the time to move the first weight change time series on the time axis The correlation coefficient between the third weight change time series obtained after the weight change and the second weight change time series is obtained; determining the maximum value of the correlation coefficient obtained within the set time range, and the time corresponding to the maximum value As a time offset value.

[0087] In this embodiment, the time offset value is determined by the following formula: :

[0088] ;

[0089] Where: Indicates the weight of the removed material The first weight change time series is shifted on the time axis by time The third weight change time series obtained later; Indicates the weight of rice grains The second weight change time series sequence constituted; Represents the third weight change time series With the second weight change timing sequence The correlation coefficient between them may specifically be a Pearson correlation coefficient; Indicates setting the time range. Indicates the maximum movement time; Represents the function of finding the maximum point, that is, finding the function that makes The time corresponding to the maximum value function.

[0090] Based on the time offset value determined above, the corrected weight data of the removed objects is obtained, that is, the weight data of the removed objects after removing the time offset. , and the weight data Recorded as , at this time the weight data and The weight change at the same time indicates the weight of the rice grains after grinding and the weight of the rice grains after removing the husk or bran. and The first weight difference value and the second weight difference value at the same time can be used to quantify the degree of separation after milling at different times.

[0091] In this embodiment, any time As the current moment, the following formula is used to determine the time The degree of grinding separation :

[0092] ;

[0093] Where: Weight data indicating removal time lag In the moment The weight value below; Weight data indicating removal time lag In the moment Reference time The weight value below, Indicates the differential time interval. In order to avoid large fluctuations in the differential values obtained at adjacent moments, it is recommended here The value of is 5s; represents the first weight difference value; Indicates the weight of rice grains In the moment The weight value below; Indicates the weight of rice grains In the moment Reference time The weight value below; Indicates the second weight difference value.

[0094] Furthermore, in some possible implementations, the rice husk content estimation module 202 includes:

[0095] The impact strength determination unit is used to determine the impact strength of the removed object at the current moment according to the fluctuation of the weight value of the removed object at the current moment and the previous adjacent moments in the weight data of the removed object.

[0096] Specifically, the mass content of rice husk, bran, germ and polished rice in rice is roughly as follows:

[0097] a) Rice husk: Rice husk is the outermost lignified cellulose layer of rice grains, accounting for about 20% of the total mass of rice grains;

[0098] b) Bran: Bran includes the exocarp, mesocarp and seed coat, accounting for 5% to 6% of the total weight of rice;

[0099] c) Germ: The germ is located at the bottom of the rice grain and accounts for about 2% to 3% of the total mass of the rice grain;

[0100] d) Polished rice: Polished rice is the product after rice husk, bran and germ are removed from rice grains. It is mainly composed of endosperm, which accounts for 70% to 72% of the total mass of rice.

[0101] Under the initial conditions, rice is milled. Since rice husk has a better separation effect than bran and its mass is relatively large, when the rice husk content in the initially added rice is high, the weight of the removed material still increases rapidly under a smaller grinding force, and the degree of separation is larger. On the contrary, when the removed material is mainly bran, the degree of separation is smaller.

[0102] Considering that in the actual weight monitoring process, due to the real-time weight detection of two different hoppers, the removal of objects and rice grains entering the hopper, their falling speed and method will cause impact on the bottom or side wall of the hopper. This impact force will cause the weight distribution in the hopper to change instantly, thereby affecting the reading of the weighing sensor, resulting in fluctuations in the weight data of varying magnitudes. Figure 5 The weight change curves of the removed material and rice grains are shown when the rice husk content is high. Figure 6 The weight change curves of the removed material and rice grains when the rice husk content is low are shown.

[0103] according to Figure 5 and Figure 6 As can be seen, due to the difference in mass between rice husks and bran, their impact on the weight sensor varies. Heavier rice husks exert a greater impact on the sensor, causing the weight data collected by the sensor to fluctuate more for the bran portion. Therefore, by analyzing the fluctuations in the weight data of the removed material at the current moment and at the previous moments, we can determine the impact strength of the removed material at the current moment. Based on this impact strength, we can estimate the husk content in the rice grain before milling.

[0104] Furthermore, in some possible implementations, the impact strength determination unit is used to: smooth the weight data of the removed object to obtain smoothed weight data; compare the weight data of the removed object with the smoothed weight data to determine the residual item weight data; determine a time window of a set window size with the current moment as the starting point, determine the variance of all residual weight values in the residual item weight data located in the time window, and use the variance as the impact strength of the removed object at the current moment.

[0105] Specifically, the weight data of the removed Perform smoothing, such as using Gaussian filtering to obtain smoothed weight data The weight data of the removed objects With the smoothed weight data Compare and get the residual weight data , the higher the fluctuation of the residual weight data, the stronger the impact of the removed object on the weight sensor.

[0106] In this embodiment, for any time That is the current moment, with time Sets the window size for the starting point forward in time. Time window, such as setting the window size for , and based on the residual weight data in the time window, the following formula is used to determine the time Impact strength of the material under :

[0107] ;

[0108] Where: Represents the standard deviation function, which is used to calculate the standard deviation of all residual weight data in the time window; Represents the residual weight data at time The value below.

[0109] The rice husk content estimated value determining unit is used to determine the rice husk content estimated value at the current moment according to the removal material impact strength, the rice husk removal impact strength and the chaff removal impact strength.

[0110] Specifically, in the same manner as described above to determine the impact strength of the removed material, the average value of the residual weight data obtained by removing the rice husk at different times when all the rice grains are not husked is obtained, and the average value is used as the impact strength of the removed rice husk and recorded as At the same time, the average value of the residual weight data obtained when the rice containing only the bran is removed from the bran at different times is obtained, and the average value is used as the impact strength of the bran removed and recorded as . Then based on the time Impact strength of the material under , remove rice husk impact strength and impact strength of husk removal , determine at the time Estimated rice husk content.

[0111] Furthermore, in some possible implementations, the rice husk content estimated value determining unit is configured to: determine the difference between the impact strength of the removed material and the impact strength of the chaff removed to obtain a first impact strength difference; determine the difference between the impact strength of the removed rice husk and the impact strength of the removed chaff 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 estimated value at the current moment. At this time, for any moment , at the moment Estimated rice husk content under .

[0112] Furthermore, in some possible implementations, the adjustment coefficient acquisition module 203 includes:

[0113] The first adjustment coefficient determination module is configured to determine a speed adjustment coefficient at a current moment according to a difference between the grinding separation degree and the separation degree threshold if the grinding separation degree is greater than the separation degree threshold.

[0114] Specifically, during the grinding process, when the rice husk content is high, the degree of grinding separation is greater at the initial moment, and the estimated value of the rice husk content is higher. At this time, the materials that need to be removed from the rice include rice husks and bran. Since there are more materials to be removed, greater grinding force is required to grind them better.

[0115] Furthermore, in some possible implementations, the first adjustment coefficient determination module is used to: normalize the difference between the grinding 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.

[0116] The second adjustment coefficient determination module is used to: if the grinding 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 grinding separation degree and the estimated rice husk content.

[0117] Specifically, during the grinding process, when the degree of grinding separation is small at the initial moment, it may be that the rice husk content is low, or the initial grinding force is insufficient, resulting in less rice husk removal. Therefore, the grinding force can be further adjusted according to the change in the amount of removed material.

[0118] Furthermore, in some possible implementations, the second adjustment coefficient determination module is used to: normalize the difference between the separation degree threshold and the grinding separation degree to obtain a second normalized value; determine the difference between the set value and the rice husk content estimated value to obtain a rice husk content estimated value mapping value; and determine the speed adjustment coefficient at the current moment based on the second normalized value and the rice husk content estimated value mapping value.

[0119] In this embodiment, for any time , the following formula is used to determine the time Speed adjustment factor under :

[0120] ;

[0121] Where: Indicates the separation degree threshold. According to the proportion of each substance in rice, this embodiment sets ; Represents a normalization function, which is used to normalize the value to the range [0,1].

[0122] Furthermore, in some possible implementations, the speed adjustment module 204 includes:

[0123] The speed adjustment amount determination module is used to determine the product of the speed adjustment coefficient and the maximum amount of the sanding belt speed adjustment at the current moment to obtain the sanding belt speed adjustment amount.

[0124] Specifically, when adjusting the grinding force, the current moment Speed adjustment factor under , determine the belt speed adjustment amount, that is, calculate the speed adjustment coefficient Maximum amount of belt speed adjustment allowed The product of , the product As the sanding belt speed adjustment amount. In this embodiment, the sanding belt speed adjustment maximum amount is set The value is 1.2m / s.

[0125] The speed determination module is used to determine the sum of the running speed of the rice milling belt and the speed adjustment amount of the belt at the current moment, and determine the sum as the adjusted running speed.

[0126] Specifically, based on the current moment Running speed of lower rice milling belt and belt speed adjustment , determine the running speed of the rice milling belt after adjustment = Based on the adjusted running speed of the rice milling abrasive belt, the running speeds of all regulating abrasive belts are adjusted, thereby ultimately achieving the adjustment of subsequent grinding intensity.

[0127] In this embodiment, the speed adjustment coefficient at the current moment is used to determine the speed adjustment amount of the sanding belt, and the appropriate running speed of the subsequent rice milling sanding belt is determined based on the sanding 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 seconds, and the running speed of the rice milling sanding belt is adjusted once every adjustment time interval according to the above method.

[0128] Based on the same inventive concept, an embodiment of the present invention further provides an online process detection system, which is applied to rice milling equipment. The rice milling equipment is provided with a rice milling belt for grinding grains and the running speed of which affects the grinding force of the grains, and a separation device for separating rice grains and removed materials obtained after grinding during the rice milling process. The system includes a sensing module and a processing module, the processing module is connected to the sensing module for sampling, and the sensing module includes a first weighing sensor and a second weighing sensor for respectively collecting weight data of the removed materials and rice grains obtained after grinding during the rice milling process. The processing module includes:

[0129] a grinding separation degree acquisition module, configured to determine the grinding separation degree at a current moment based on the weight data of the removed matter and the change in the weight data of the rice grains;

[0130] a rice husk content estimation module, configured to determine an estimated value of the rice husk content at a current moment according to a change in the weight data of the removed matter;

[0131] An adjustment coefficient acquisition module is used to: determine a speed adjustment coefficient at a current moment according to the grinding separation degree and the estimated rice husk content at a current moment;

[0132] The speed adjustment module is used to adjust the running speed of the rice milling belt at the current moment according to the speed adjustment coefficient at the current moment, and adjust the running speed of the rice milling belt based on the adjusted running speed.

[0133] Since the modules in the online process detection system and the functions realized by the modules have been introduced in detail in the above-mentioned intelligent rice milling device, the online process detection system will not be described in detail here.

[0134] Based on the same inventive concept, an embodiment of the present invention further provides an online process detection method, which is applied to a rice milling device, wherein the rice milling device is provided with a rice milling belt for grinding grains and the running speed of which affects the grinding force of the grains, and a separation device for separating the rice grains obtained after grinding and the removed materials in the rice milling process, such as Figure 7 As shown, the method includes the following steps:

[0135] Obtaining weight data of removed materials and rice grains after grinding during rice milling;

[0136] determining the degree of grinding separation at a current moment based on the weight data of the removed matter and the change in the weight data of the rice grains;

[0137] determining an estimated value of rice husk content at a current moment according to a change in the weight data of the removed matter;

[0138] determining a speed adjustment coefficient at the current moment according to the grinding separation degree and the estimated rice husk content at the current moment;

[0139] According to the speed adjustment coefficient at the current moment, the running speed of the rice milling sand belt at the current moment is adjusted, and the running speed of the rice milling sand belt is regulated based on the adjusted running speed.

[0140] Since each step in the online process detection method corresponds to the functions implemented by each module of the online process detection system in the intelligent rice milling device, the functions implemented by each module of the online process detection system have been introduced in detail above, and the online process detection method will not be described in detail here.

[0141] 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 the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the various embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. An online process detection system, characterized in that: The system is applied to rice milling equipment, wherein the rice milling equipment is provided with a rice milling belt for grinding grains and the running speed of which affects the grinding force of the grains, and a separation device for separating rice grains obtained after grinding and removed materials during the rice milling process. The system includes a sensing module and a processing module, the processing module is connected to the sensing module for sampling, the sensing module includes a first weighing sensor and a second weighing sensor for respectively collecting weight data of the removed materials and rice grains obtained after grinding during the rice milling process, and the processing module includes: a grinding separation degree acquisition module, configured to determine the grinding separation degree at a current moment based on the weight data of the removed matter and the change in 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 a current moment according to a change in the weight data of the removed matter; An adjustment coefficient acquisition module is used to: determine a speed adjustment coefficient at a current moment according to the grinding separation degree and the estimated rice husk content at a current moment; The speed adjustment module is used to adjust the running speed of the rice milling belt at the current moment according to the speed adjustment coefficient at the current moment, and adjust the running speed of the rice milling belt based on the adjusted running speed.

2. An online process detection system according to claim 1, characterized in that: The grinding separation degree acquisition module includes: a first weight difference value obtaining unit, configured to determine a difference between the weight value at each moment in the weight data of the removed object and the weight value at a previous reference moment, to obtain a first weight difference value; a second weight difference value obtaining unit, configured to determine a difference between the weight value of the rice grains at each moment and the weight value at a previous reference moment in the weight data of the rice grains, to obtain a second weight difference value; A grinding separation degree acquisition 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 of the current moment, obtain a first ratio, and determine the first ratio as the grinding separation degree at the current moment, and 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 matter.

3. An online process detection system according to claim 2, characterized in that: The grinding separation degree acquisition module further includes a time offset value determination unit, wherein the time offset value determination unit is configured to: determining a first weight change time series sequence consisting of weight data of the removed objects and a second weight change time series sequence consisting of weight data of the rice grains; For any time within the set time range , determine the time to move the first weight change time series on the time axis The correlation coefficient between the third weight change time series sequence obtained and the second weight change time series sequence; Determine the maximum value of the correlation coefficient obtained within the set time range, and set the time corresponding to the maximum value As a time offset value.

4. The online process detection system according to claim 1, characterized in that: The rice husk content estimation module includes: an impact strength determination unit, configured to determine the impact strength of the removed object at a current moment according to fluctuations in the weight values of the removed object at the current moment and at previous adjacent moments in the weight data of the removed object; The rice husk content estimated value determining unit is used to determine the rice husk content estimated value at the current moment according to the removal material impact strength, the rice husk removal impact strength and the chaff removal impact strength.

5. An online process detection system according to claim 4, characterized in that: The impact strength determination unit is used to: performing smoothing processing on the weight data of the removed objects to obtain smoothed weight data; Comparing the weight data of the removed object with the weight data after smoothing to determine the weight data of the residual item; A time window of a set window size is determined starting from the current moment, the variance of all residual weight values in the residual item weight data located in the time window is determined, and the variance is used as the impact strength of the removed material at the current moment.

6. An online process detection system according to claim 4, characterized in that: The rice husk content estimated value determination unit is used to: determining a difference between the impact strength of the removed material and the impact strength of the removed chaff to obtain a first impact strength difference; Determining the difference between the impact strength after removing the rice husk and the impact strength after removing the chaff to obtain a second impact strength difference; A ratio of the first impact strength difference to the second impact strength difference is determined to obtain a second ratio, and the second ratio is determined as an estimated value of the rice husk content at the current moment.

7. The online process detection system according to claim 1, characterized in that: The adjustment coefficient acquisition module includes: a first adjustment coefficient determination module configured to: determine a speed adjustment coefficient at a current moment according to a difference between the milling separation degree and the separation degree threshold if the milling separation degree is greater than the separation degree threshold; The second adjustment coefficient determination module is used to: if the grinding 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 grinding separation degree and the estimated rice husk content.

8. An online process detection system according to claim 7, characterized in that: The first adjustment coefficient determination module is configured to: Normalizing the difference between the grinding separation degree and the separation degree threshold to obtain a first normalized value, and determining the first normalized value as a speed adjustment coefficient at a current moment; The second adjustment coefficient determination module is configured to: normalizing the difference between the separation degree threshold and the grinding separation degree to obtain a second normalized value; determining a difference between a set value and the estimated rice husk content value to obtain a rice husk content estimated value mapping value; A speed adjustment coefficient at a current moment is determined according to the second normalized value and the rice husk content estimated value mapping value.

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

10. An intelligent rice milling device, comprising a rice milling device, wherein the rice milling device is provided with a rice milling belt for grinding grains and the running speed of which affects the grinding force of the grains, and a separation device for separating rice grains obtained after grinding and removed materials during the rice milling process, characterized in that: The device further comprises an online process detection system according to any one of claims 1 to 9.

Images