Automatic control system for rice soaking back-flushing water

Abstract

The invention relates to the technical field of automatic control, in particular to a rice soaking and back flushing automatic control system which comprises a water inlet detection module, a water inlet control module, a rice feeding detection module, a rice soaking detection module, a back flushing analysis module, a rice washing evaluation module, a comprehensive evaluation module and a management database. The system obtains an adjustment demand coefficient of the water inlet system according to operation parameter analysis of the water inlet system, then judges whether the water inlet system needs parameter adjustment or not, regulates and controls the opening degree of the valve, obtains the turbidity degree of the first round of rice washing water according to the turbidity of the rice washing water and the impurity amount analysis of the rice washing water, and then judges the round number of back flushing water. The process evaluation coefficient of the back-flushing water is obtained according to the analysis of the back-flushing water parameters, then the comprehensive evaluation index of the rice soaking back-flushing water is obtained through comprehensive analysis, the comprehensive evaluation index is fed back, the problems existing in the process can be found and improved in time, and the whole rice soaking and back-flushing water process is further optimized.

Description

Technical Field

[0001] The invention relates to the technical field of automatic control, in particular to an automatic control system for backwashing water for soaking rice. Background Art

[0002] In the rice processing and some food production processes, soaking rice and backwashing water are important links. Soaking rice allows the rice to absorb moisture and prepare for subsequent processing or cooking. It will also affect the taste and quality of the final product. Backwashing water is often used to wash rice, remove impurities, dust, etc., to ensure the cleanliness of the rice.

[0003] As people's requirements for food quality and safety continue to increase, the process of rice soaking and backwashing water has received more and more attention. How to optimize the conditions for soaking rice to achieve the best water absorption effect and taste improvement, and how to ensure that the backwashing water can efficiently remove impurities without causing excessive rice loss are issues that urgently need to be studied and discussed.

[0004] The existing Chinese patent with publication number CN201811628630.8 discloses a rice washing method and cooking utensils for cooking utensils. The scheme washes rice by adding water and stirring, and determines whether to end rice washing according to the total rice washing time or the set number of rice washing times. The total rice washing time and the set number of rice washing times are related to the time from the rice to the production date. The longer the time from the rice to the production date, the greater the total time and the set number of rice washing times, which ensures the adaptability and pertinence of the rice washing effect and makes the rice washing operation more scientific and reasonable.

[0005] However, the above patent has the following problems: First, the solution determines whether to end rice washing by the total length of rice washing time or the set number of rice washing times, but does not take into account the analysis of the turbidity and impurity content of the rice washing water, which may lead to an inability to accurately determine the number of backwashing water wheels required, resulting in incomplete rice washing or excessive rice washing, which wastes water resources.

[0006] Second, the plan does not involve the evaluation and analysis of the rice soaking and backwashing process, which may lead to inaccurate control of the entire rice soaking and backwashing process, and fail to accurately understand the actual effect and status of each link, making it difficult to make effective adjustments and optimizations. It may also affect the quality and consistency of the final product. Summary of the invention

[0007] In order to overcome the shortcomings of the background technology, an embodiment of the present invention provides an automatic control system for backwashing water during rice soaking, which can effectively solve the problems involved in the above-mentioned background technology.

[0008] The purpose of the present invention can be achieved through the following technical scheme: The present invention provides an automatic control system for backwashing water for soaking rice, including: a water inlet detection module, which is used to monitor the operating parameters of the water inlet system in real time, and the operating parameters include a single water inlet volume, the degree of abnormal fluctuation of the water inlet flow, and the stability of the water inlet pressure.

[0009] The water inlet control module is used to obtain the adjustment demand coefficient of the water inlet system according to the operating parameters of the water inlet system, and then determine whether the water inlet system needs parameter adjustment and regulate the valve opening.

[0010] The rice delivery detection module is used to detect the rice delivery flow in each time period and analyze the smoothness of rice delivery λ.

[0011] The rice soaking detection module is used to detect the water temperature and soaking time of rice soaking, and analyze the compliance degree ρ of the rice soaking process.

[0012] The backwash water analysis module is used to determine whether to continue the next round of backwash water according to the turbidity and impurity content of the rice washing water and record the number of backwash water rounds, and then analyze and obtain the process evaluation coefficient of the backwash water. The backwash water parameters include the actual flow rate of each round of backwash water flow at each detection time point, the pressure stability of each round of backwash water flow, and the interval time between each round of backwash water flow.

[0013] The rice washing evaluation module is used to detect the rice loss rate and impurity residual rate, and analyze and obtain the rice cleaning evaluation coefficient χ.

[0014] The comprehensive evaluation module is used to analyze and obtain the comprehensive evaluation index of the backwash water for soaking rice according to the smoothness of rice feeding, the compliance degree of the rice soaking process, the process evaluation coefficient of the backwash water, and the rice cleaning evaluation coefficient, and provide feedback thereon.

[0015] Management database for storing water tank dimensions, valve opening and water flow rate proportional constants.

[0016] Preferably, the specific analysis method of the water inlet detection module is as follows: in the first step, the initial water level of the water tank before the water inlet system is inletted is detected, recorded as h0, and the water level of the water tank is measured again after the single water inlet is completed, recorded as h, and the size of the water tank is read from the management database to calculate the bottom area M of the water tank. 底 At the same time, several time points are selected in the single water inflow process of the water inlet system according to the set time, recorded as each time point, and the flow rate of the water inlet pipeline at each time point is detected by the flow sensor, recorded as v i , i represents the number of the i-th time point, i=1,2,...,n, and the set time length is recorded as Δt. Get the single water inflow V of the water inlet system, and use the formula The abnormal fluctuation degree β of the inlet flow of the inlet system is obtained, and n represents the number of time points.

[0017] The second step is to install a pressure sensor on the water inlet pipe to detect the pressure exerted by the water on the pipe wall at each time point, which is recorded as the water inlet pressure P at each time point in the water inlet pipe. i , the average water inlet pressure of the water inlet pipe is obtained by taking the average value of the water inlet pressure at each time point, which is recorded as Substituting this into the formula Obtain the water inlet pressure stability α of the water inlet system.

[0018] Preferably, the specific analysis method of the water inlet control module is as follows: the first step is to read the single water inlet volume V, the abnormal fluctuation degree of the water inlet flow β, and the stability degree of the water inlet pressure α of the water inlet system respectively, and substitute them into the formula The adjustment demand coefficient δ of the water inlet system is obtained, where V0 represents the set single water consumption, φ1, φ2, and φ3 represent the weight factors of the set single water inlet volume, the abnormal fluctuation degree of the inlet water flow, and the stability degree of the inlet pressure, and e represents a natural constant.

[0019] In the second step, the adjustment demand coefficient of the water inlet system is compared with the preset adjustment demand coefficient threshold. If the adjustment demand coefficient of the water inlet system is less than or equal to the preset adjustment demand coefficient threshold, it means that the water inlet system does not need to adjust parameters. If the adjustment demand coefficient of the water inlet system is greater than the preset adjustment demand coefficient threshold, it means that the water inlet system needs to adjust parameters. The single water inlet volume difference ΔV of the water inlet system is obtained by the formula ΔV=|V-V0|, and the proportional constant of the valve opening and the water flow rate is read from the management database. It is compared with the single water inlet volume difference of the water inlet system to obtain the valve opening corresponding to the single water inlet volume difference of the water inlet system, which is recorded as K 进水量 According to the method of analyzing the difference of single water inflow volume of the water inlet system, the difference of abnormal fluctuation degree of water inlet flow Δβ and the difference of stability degree of water inlet pressure Δα are analyzed respectively, and they are compared with the valve opening corresponding to each abnormal fluctuation degree difference range and the valve opening corresponding to each inlet pressure stability degree difference range, and the valve opening corresponding to the difference of abnormal fluctuation degree of water inlet flow and the difference of stability degree of water inlet pressure are obtained, which is recorded as K 进水水流 , K 进水压力 , through the formula The opening K of the valve that needs to be regulated is obtained, and the valve opening is regulated accordingly.

[0020] Preferably, the specific analysis method of the rice delivery detection module is to divide the rice delivery process into several time periods according to the set interval duration, weigh the rice delivered in each time period, and record it as the weight of rice delivered in each time period M f, f represents the number of the f-th time period, f=1,2,...,k, and the set interval length is recorded as t, through the formula Get the rice delivery flow v in each time period f , the average flow rate of rice is obtained by taking the average value, which is recorded as Substituting this into the formula Get the smoothness λ of the next k, where k represents the number of time periods.

[0021] Preferably, the specific analysis method of the rice soaking detection module is: taking a number of temperature time points according to the set time interval, monitoring the water temperature at each temperature time point in the rice soaking process by a temperature sensor, and obtaining the average value of the water temperature for soaking rice, which is recorded as ω, and recording the soaking time of rice, which is recorded as T, and substituting it into the formula The degree of compliance of the rice soaking process ρ is obtained, ω0 and T0 represent the optimal water temperature and optimal time for rice soaking, respectively. They respectively represent the weight factors of the set rice soaking water temperature and rice soaking time.

[0022] Preferably, the specific analysis method of the backwash water analysis module is as follows: the first step is to start the backwash process, and after the first round of backwash water process, the turbidity of the rice washing water is detected by a turbidity sensor, which is recorded as υ, and the rice washing water sample is weighed, which is recorded as the rice washing water sample weight, and the rice washing water sample is filtered by a filter screen, and the filtered rice washing water is weighed, which is recorded as the rice washing water net weight, which is recorded as M", and the impurity amount of the rice washing water is obtained by subtracting the rice washing water sample weight from the rice washing water net weight, which is recorded as ΔM", through the formula The turbidity degree ε of the first round of rice washing water is obtained, and η1 and η2 represent the weight factors of the set turbidity and impurity amount respectively.

[0023] The second step is to compare the turbidity of the first round of rice washing water with a preset turbidity threshold value. If the turbidity of the first round of rice washing water is less than the preset turbidity threshold value, the backflushing water is stopped. If the turbidity of the first round of rice washing water is greater than or equal to the preset turbidity threshold value, it means that the turbidity of the first round of rice washing water is unqualified, and the second round of backflushing water is started. After the second round of backflushing water is completed, the turbidity of the second round of rice washing water is analyzed according to the method for analyzing the turbidity of the first round of rice washing water, and the turbidity is compared with the preset turbidity threshold value to circulate the backflushing water until the turbidity of the rice washing water is less than the preset turbidity threshold value, and the backflushing water is stopped. The number of rounds of backflushing water is recorded and recorded as 1.

[0024] The third step is to start the backwash process. According to the set duration, several time points are selected from the single round of backwash process, which are recorded as the detection time points. The actual flow rate of each round of backwash water flow at each detection time point is detected by the flow meter, which is recorded as Qgm , g represents the number of the g-th round of backwash water, g=1,2,...,l, m represents the number of the m-th detection time point, m=1,2,...,q, and at the same time, the pressure sensor at the water inlet pipe is used to detect the pressure of each round of backwash water flow at each detection time point to obtain the pressure of each round of backwash water flow at each detection time point. According to the method of analyzing the stability of the water inlet pressure of the water inlet system, the pressure of each round of backwash water flow at each detection time point is analyzed to obtain the pressure stability of each round of backwash water flow, which is recorded as ξ g , and record the interval between each round of backwashing water, recorded as Substituting this into the formula Get the process evaluation coefficient of backwash water Where a1, a2, and a3 represent the weight factors of the set actual flow rate, pressure stability, and intermittent duration, respectively; Q0 ​​represents the set water flow reference value; t0 反冲 Indicates the set backwash water interval duration.

[0025] Preferably, the specific analysis method of the rice washing evaluation module is: record the time taken by the system from soaking rice to the end of the backwashing link, recorded as the rice washing time T', and weigh the rice after the backwashing link, recorded as the weight of the rice after washing M', and read the weight of the rice put in each time period M f , put it into the formula Get the rice loss rate σ 米 , and the impurity residual rate of rice is obtained by sieving, denoted as σ 杂质 , substituting it into the formula The rice washing evaluation coefficient χ is obtained, where T'0 represents the reference value of the set rice washing time, μ1, μ2, and μ3 represent the weight factors of the set rice washing time, rice loss rate, and impurity residual rate, respectively, and e represents a natural constant.

[0026] Preferably, the specific analysis method of the comprehensive evaluation module is: respectively reading the smoothness of rice feeding λ, the compliance degree of the rice soaking process ρ, and the process evaluation coefficient of the backwash water The rice cleaning evaluation coefficient χ is substituted into the formula Get the comprehensive evaluation index of rice soaking backwash water Among them, w1, w2, w3, and w4 respectively represent the set smoothness of rice feeding, the degree of compliance of the rice soaking process, the process evaluation coefficient of the backwash water, and the weight factors of the rice cleaning evaluation coefficient. The comprehensive evaluation index of the backwash water for rice soaking is compared with the preset comprehensive evaluation index threshold. If the comprehensive evaluation index of the backwash water for rice soaking is greater than or equal to the preset comprehensive evaluation index threshold, it means that the comprehensive evaluation index of the backwash water for rice soaking is qualified. If the comprehensive evaluation index of the backwash water for rice soaking is less than the preset comprehensive evaluation index threshold, it means that the comprehensive evaluation index of the backwash water for rice soaking is unqualified, and feedback is given to the system.

[0027] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention obtains the adjustment demand coefficient of the water inlet system according to the operating parameter analysis of the water inlet system, and then determines whether the water inlet system needs parameter adjustment, and regulates the valve opening to ensure that the water inlet system is always in a relatively ideal working state and maintains efficient and stable operation.

[0028] 2. The present invention obtains the turbidity degree of the first round of rice washing water according to the turbidity of the rice washing water and the impurity amount of the rice washing water, and then determines the number of rounds of backwashing water, and obtains the process evaluation coefficient of the backwashing water according to the backwashing water parameter analysis, which can ensure that the rice is washed more cleanly and thoroughly, avoid unnecessary backwashing water, and help to obtain products with stable quality.

[0029] 3. The present invention obtains a comprehensive evaluation index of backwash water for rice soaking according to the smoothness of rice discharge, the degree of compliance of the rice soaking process, the process evaluation coefficient of backwash water, and the cleaning evaluation coefficient of rice, and provides feedback thereon, so as to timely discover and improve problems existing in the process and further optimize the entire rice soaking and backwash water process. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0031] Figure 1 This is a system module connection diagram of the present invention.

[0032] Figure 2 for Figure 1 Conditional flow chart of the water inlet control module.

[0033] Figure 3 for Figure 1 Conditional flow chart of the backwash water analysis module. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0035] See also Figure 1 As shown, an automatic control system for backwashing water for soaking rice includes a water inlet detection module, a water inlet control module, a rice discharge detection module, a rice soaking detection module, a backwashing water analysis module, a rice washing evaluation module, a comprehensive evaluation module, and a management database.

[0036] The comprehensive evaluation module is connected to the rice discharging detection module, the backwashing water analysis module, the rice washing evaluation module, and the management database; and the management database is connected to the water inlet detection module, the water inlet control module, the rice soaking detection module, and the backwashing water analysis module.

[0037] The water inlet detection module is used to monitor the operating parameters of the water inlet system in real time. The operating parameters include the single water inlet volume, the abnormal fluctuation degree of the water inlet flow, and the stability of the water inlet pressure.

[0038] The specific analysis method of the water inlet detection module is as follows: In the first step, the initial water level of the water tank before the water inlet system is detected, recorded as h0, and the water level of the water tank is measured again after the single water inlet is completed, recorded as h, and the size of the water tank is read from the management database to calculate the bottom area M of the water tank 底 At the same time, several time points are selected in the single water inflow process of the water inlet system according to the set time, recorded as each time point, and the flow rate of the water inlet pipeline at each time point is detected by the flow sensor, recorded as v i , i represents the number of the i-th time point, i=1,2,...,n, and the set time length is recorded as Δt. Get the single water inflow V of the water inlet system, and use the formula The abnormal fluctuation degree β of the inlet water flow of the water inlet system is obtained, where n represents the number of time points. The detection of the flow rate at each time point and the calculation of the abnormal fluctuation degree of the inlet water flow are helpful to timely discover whether there are faults or abnormal fluctuations in the water inlet system, such as pipe blockage, water leakage and other problems, so as to take timely measures to solve them and ensure the stable operation of the water inlet system.

[0039] It should be noted that the specific analysis method of the bottom area of ​​the water tank is: read the size of the water tank from the management database. In a specific embodiment, the length and width of the water tank are extracted from the size of the water tank, which are recorded as L and M respectively, and are substituted into the formula S=L*M to obtain the bottom area S of the water tank. In another specific embodiment, the diameter of the water tank is extracted from the size of the water tank, which is recorded as D. The bottom area S of the water tank is obtained by the formula Get the bottom area S of the water tank.

[0040] The second step is to install a pressure sensor on the water inlet pipe to detect the pressure exerted by the water on the pipe wall at each time point, which is recorded as the water inlet pressure P at each time point in the water inlet pipe. i , the average water inlet pressure of the water inlet pipe is obtained by taking the average value of the water inlet pressure at each time point, denoted as P, and substituting it into the formula Obtaining the water inlet pressure stability α of the water inlet system helps to detect pressure anomalies in a timely manner, avoid damage to pipelines and related equipment due to excessively high or low pressure, and ensure safe and stable operation of the water inlet system.

[0041] It should be noted that the pressure sensor contains sensitive components such as strain gauges. When water flows in the pipe and generates pressure, the strain gauge will deform. This deformation will cause the resistance value of the strain gauge to change, thereby generating a corresponding electrical signal, which is transmitted to the data acquisition system through the connected circuit. The data acquisition system amplifies, filters, and processes the electrical signal before converting it into a digital signal.

[0042] The water inlet control module is used to obtain the adjustment demand coefficient of the water inlet system according to the operating parameters of the water inlet system, and then determine whether the water inlet system needs parameter adjustment and regulate the valve opening.

[0043] See also Figure 2 As shown, the specific analysis method of the water inlet control module is as follows: the first step is to read the single water inlet volume V, the abnormal fluctuation degree of the water inlet flow β, and the stability degree of the water inlet pressure α of the water inlet system respectively, and substitute them into the formula The adjustment demand coefficient δ of the water inlet system is obtained, where V0 represents the set single water consumption, φ1, φ2, and φ3 represent the weight factors of the set single water inlet volume, the abnormal fluctuation degree of the inlet water flow, and the stability degree of the inlet pressure, and e represents a natural constant; the possible problem tendencies of the water inlet system can be discovered in time, and countermeasures can be prepared in advance to reduce the probability of failure.

[0044] It should be noted that, in a specific embodiment, φ1 can be set to 0.4, φ2 can be set to 0.3, and φ3 can be set to 0.3. The single water inlet volume directly affects the overall water inlet volume control, which is a basic and intuitive factor. If the single water inlet volume is inappropriate, it may directly lead to abnormal system operation. For example, too much or too little water will affect the subsequent processing process or equipment performance, and large abnormal fluctuations may cause a series of problems, such as impacting the equipment and affecting the uniform distribution of water. The stability of the water inlet pressure is equally important. A stable water inlet pressure helps to ensure the normal operation of the entire system and avoid problems such as equipment damage and unstable water flow caused by pressure fluctuations. Therefore, the weight corresponding to the single water inlet volume is higher, and the weights corresponding to the abnormal fluctuation degree of the water inlet flow and the stability of the water inlet pressure are equal.

[0045] In the second step, the adjustment demand coefficient of the water inlet system is compared with the preset adjustment demand coefficient threshold. If the adjustment demand coefficient of the water inlet system is less than or equal to the preset adjustment demand coefficient threshold, it means that the water inlet system does not need to adjust parameters. If the adjustment demand coefficient of the water inlet system is greater than the preset adjustment demand coefficient threshold, it means that the water inlet system needs to adjust parameters. The single water inlet volume difference ΔV of the water inlet system is obtained by the formula ΔV=|V-V0|, and the proportional constant of the valve opening and the water flow rate is read from the management database. It is compared with the single water inlet volume difference of the water inlet system to obtain the valve opening corresponding to the single water inlet volume difference of the water inlet system, which is recorded as K 进水量 According to the method of analyzing the difference of single water inflow volume of the water inlet system, the difference of abnormal fluctuation degree of water inlet flow Δβ and the difference of stability degree of water inlet pressure Δα are analyzed respectively, and they are compared with the valve opening corresponding to each abnormal fluctuation degree difference range and the valve opening corresponding to each inlet pressure stability degree difference range, and the valve opening corresponding to the difference of abnormal fluctuation degree of water inlet flow and the difference of stability degree of water inlet pressure are obtained, which is recorded as K 进水水流 , K 进水压力 , through the formula The valve opening K that needs to be regulated is obtained to regulate the valve opening accordingly; based on the comparison between the specific demand coefficient and the threshold, it can accurately determine whether adjustment is needed and the degree of adjustment, realize refined management, and timely adjust the valve opening to adapt to system needs, ensure the stable operation of the water inlet system, and reduce fluctuations and abnormalities.

[0046] It should be noted that the specific analysis method of the proportional constant between the valve opening and the water flow rate is: divide the valve openings according to the set angle, detect the water flow rate corresponding to each valve opening through a flow meter, and obtain the water flow rate of each valve opening; obtain the proportional constant between each valve opening and the water flow rate of each valve opening by dividing each valve opening by the water flow rate of each valve opening; and obtain the proportional constant between the valve opening and the water flow rate by taking the average value.

[0047] It should be noted that the specific analysis method for the opening of the valve that needs to be regulated is: read the proportional constant between the valve opening and the water flow rate, and the difference in the single water inlet volume of the water inlet system, and obtain the opening of the valve that needs to be regulated by dividing the difference in the single water inlet volume of the water inlet system by the proportional constant between the valve opening and the water flow rate, so as to regulate the valve opening.

[0048] The rice delivery detection module is used to detect the rice delivery flow in each time period and analyze the smoothness of rice delivery λ.

[0049] The specific analysis method of the rice feeding detection module is as follows: the rice feeding process is divided into several time periods according to the set interval length, and the rice fed in each time period is weighed, which is recorded as the weight of the rice fed in each time period M. f , f represents the number of the f-th time period, f=1,2,...,k, and the set interval length is recorded as t, through the formula Get the rice delivery flow v in each time period f , the average flow rate of rice is obtained by taking the average value, denoted as v, and substituting it into the formula The smoothness of rice feeding λ is obtained, where k represents the number of time periods; the specific situation of rice feeding in each time period can be accurately grasped, thereby achieving more accurate rice feeding control, which helps to ensure the uniformity and stability of rice feeding and the consistency of product quality.

[0050] It should be noted that the specific analysis method for weighing the rice put in each time period is as follows: when the rice is put in, the timing is started at the same time, the rice put in the first time period is received through the container, and the weight is weighed and recorded on the electronic scale, the rice in the container is cleaned, and the container is put back to prepare for receiving the rice in the next time period, and the rice put in each time period is weighed and recorded in turn, which is recorded as the weight of rice put in each time period M f .

[0051] The rice soaking detection module is used to detect the water temperature and soaking time of rice soaking, and analyze the compliance degree ρ of the rice soaking process.

[0052] The specific analysis method of the rice soaking detection module is: taking a number of temperature time points according to a set time interval, monitoring the water temperature at each temperature time point during the rice soaking process by a temperature sensor, and obtaining the average value thereof to obtain the rice soaking water temperature, which is recorded as , and record the soaking time of rice, denoted as T, and substitute it into the formula The degree of compliance of the rice soaking process ρ is obtained. T0 and T1 represent the optimal water temperature and optimal time for soaking rice, respectively. They respectively represent the weight factors of the set rice soaking water temperature and rice soaking time; the water temperature at each time point can be accurately known, so as to better grasp the actual situation of rice soaking, and the stability of water temperature can be ensured through the average value, which is conducive to ensuring the stable quality of the product after rice soaking.

[0053] It should be noted that, in a specific embodiment, It can be set to 0.5. It can be set to 0.5. Appropriate water temperature plays a key role in the absorption of water by rice grains and the promotion of biochemical reactions. Inappropriate water temperature may directly affect the effect of rice soaking and the quality of subsequent winemaking processes. For example, too high water temperature may lead to the loss of some nutrients, and too low water temperature may make the rice soaked insufficiently. The soaking time is also very important. A reasonable time can ensure that the rice grains fully absorb water, but its impact is not as direct and critical as the water temperature to a certain extent. However, if the soaking time is too long or too short, it will also have a certain impact on the final product, such as affecting the taste, wine yield, etc. Therefore, the weights of the soaking water temperature and soaking time are equal.

[0054] It should be noted that the optimal time for soaking rice may vary depending on the type of rice and the water temperature. In a specific embodiment, if common polished round-grained rice is used, when the water temperature is about 25 degrees Celsius, the optimal time for soaking the rice may be about 4 hours. Under this time, the polished round-grained rice can fully absorb water and become fuller, which is conducive to subsequent processing and cooking. However, if glutinous rice is used, the optimal time for soaking the rice may need to be extended to about 6 hours at the same water temperature of 25 degrees Celsius, because the water absorption of glutinous rice is relatively poor and it takes longer to reach the ideal state. If the water temperature is raised to 30 degrees Celsius, the soaking time of polished round-grained rice may be shortened to about 3 hours, while that of glutinous rice may be shortened to about 5 hours.

[0055] The backwash water analysis module is used to determine whether to continue the next round of backwash water according to the turbidity and impurity content of the rice washing water and record the number of backwash water rounds, and then analyze and obtain the process evaluation coefficient of the backwash water. The backwash water parameters include the actual flow rate of each round of backwash water flow at each detection time point, the pressure stability of each round of backwash water flow, and the interval time between each round of backwash water flow.

[0056] See also Figure 3 As shown, the specific analysis method of the backwash water analysis module is as follows: the first step is to start the backwash process. After the first round of backwash water process, the turbidity of the rice washing water is detected by the turbidity sensor, which is recorded as υ. At the same time, the rice washing water sample is weighed, which is recorded as the rice washing water sample weight. The rice washing water sample is filtered by a filter screen, and the filtered rice washing water is weighed, which is recorded as the net weight of the rice washing water, which is recorded as M", and the impurity amount of the rice washing water is obtained by subtracting the weight of the rice washing water sample from the net weight of the rice washing water, which is recorded as ΔM", through the formula The turbidity degree ε of the first round of rice washing water is obtained, and η1 and η2 represent the weight factors of the set turbidity and impurity amount respectively; the turbidity of the rice washing water can be intuitively understood, the rice washing effect can be reflected, and the product quality can be ensured. According to the data such as the turbidity degree, the backwashing process or related parameters can be adjusted in a targeted manner to optimize the rice washing process.

[0057] It should be noted that, in a specific embodiment, η1 can be set to 0.6, η2 can be set to 0.4, and the turbidity of rice washing water intuitively reflects the degree to which the attachments on the surface of the rice grains and some tiny particles are washed away. It can directly reflect the effect and cleanliness of rice washing. If the turbidity is high, it means that the rice washing process may not be sufficient or there are other problems, which may have a certain impact on subsequent processing or cooking. The amount of impurities cannot be ignored, but it may be slightly less important than turbidity. The amount of impurities mainly involves the situation where some visible impurities are washed out, but sometimes even if the amount of impurities is not high, the turbidity may be high due to some fine particles and other reasons. However, the amount of impurities is indeed an important indicator for measuring the effect of rice washing. The presence of more impurities will affect the quality and taste of the product, so the weight corresponding to turbidity is higher.

[0058] The second step is to compare the turbidity of the first round of rice washing water with a preset turbidity threshold value. If the turbidity of the first round of rice washing water is less than the preset turbidity threshold value, the backwashing water is stopped. If the turbidity of the first round of rice washing water is greater than or equal to the preset turbidity threshold value, it means that the turbidity of the first round of rice washing water is unqualified, and the second round of backwashing water is started. After the second round of backwashing water is finished, the turbidity of the second round of rice washing water is analyzed according to the method for analyzing the turbidity of the first round of rice washing water, and the turbidity is compared with the preset turbidity threshold value, so as to circulate the backwashing water until the turbidity of the rice washing water is less than the preset turbidity threshold value, and the backwashing water is stopped. The number of backwashing water rounds is recorded and recorded as 1. By comparing with the threshold value, the quality of the rice washing water can be accurately controlled, the quality of the final product can be guaranteed, unnecessary backwashing water circulation can be avoided, and the backwashing water circulation can be stopped in time when the requirements are met, saving resources and time.

[0059] The third step is to start the backwash process. According to the set duration, several time points are selected from the single round of backwash process, which are recorded as the detection time points. The actual flow rate of each round of backwash water flow at each detection time point is detected by the flow meter, which is recorded as Q gm, g represents the number of the g-th round of backwash water, g=1,2,...,l, m represents the number of the m-th detection time point, m=1,2,...,q, and at the same time, the pressure sensor at the water inlet pipe is used to detect the pressure of each round of backwash water flow at each detection time point to obtain the pressure of each round of backwash water flow at each detection time point. According to the method of analyzing the stability of the water inlet pressure of the water inlet system, the pressure of each round of backwash water flow at each detection time point is analyzed to obtain the pressure stability of each round of backwash water flow, which is recorded as ξ g , and record the interval between each round of backwashing water, recorded as Substituting this into the formula Get the process evaluation coefficient of backwash water Among them, a1, a2, and a3 represent the weight factors of the set actual flow rate, pressure stability, and intermittent duration, respectively, and Q0 represents the set water flow reference value. Indicates the set interval duration of backwash water; through the detection and analysis of flow rate, pressure, etc., the backwash process can be adjusted more accurately to ensure the effect, understand the pressure stability, and detect abnormal fluctuations in time and make adjustments to ensure the stability of the backwash work.

[0060] It should be noted that in a specific embodiment, a1 can be set to 0.5, a2 can be set to 0.3, and a3 can be set to 0.2. Stable pressure is crucial to the recoil effect. If the pressure is unstable, it may lead to incomplete and uneven recoil, directly affecting the quality and efficiency of the recoil water, and has a key impact on the entire process. Appropriate flow can ensure the strength and range of the recoil. Inappropriate flow may not be able to effectively clean or cause unnecessary waste and problems. Reasonable intermittent duration can ensure the rhythm and effect of the recoil, but its impact is relatively less direct and critical than the pressure stability and actual flow. Therefore, the weight corresponding to the actual flow is higher, the weight corresponding to the pressure stability is second, and the weight corresponding to the intermittent duration is lower.

[0061] The rice washing evaluation module is used to detect the rice loss rate and impurity residual rate, and analyze and obtain the rice cleaning evaluation coefficient χ.

[0062] The specific analysis method of the rice washing evaluation module is as follows: record the time taken by the system from soaking rice to the end of the backwashing process, recorded as the rice washing time T', and weigh the rice after the backwashing process, recorded as the weight of the washed rice M', and read the weight of the rice put in each time period M f , put it into the formula Get the rice loss rate σ 米 , and the impurity residual rate of rice is obtained by sieving, denoted as σ 杂质 , substituting it into the formula The rice washing evaluation coefficient χ is obtained, where T'0 represents the reference value of the set rice washing time, μ1, μ2, and μ3 represent the weight factors of the set rice washing time, rice loss rate, and impurity residual rate, respectively, and e represents a natural constant. By recording the rice washing time, the efficiency of the entire process can be understood in order to optimize the process and increase the speed. Clarifying the rice loss rate is helpful to control costs and take measures to reduce unnecessary losses. The impurity residual rate can reflect the cleaning effect and ensure the cleanliness and quality of the rice.

[0063] It should be noted that, in a specific embodiment, μ1 can be set to 0.2, μ2 can be set to 0.3, and μ3 can be set to 0.5. The impurity residual rate is usually the most important, because the primary purpose of washing rice is to remove impurities. If the impurity residual rate is high, it means that the washing effect is not good. This is the most core evaluation indicator. The weight of the rice loss rate is relatively important. Although it is normal to have a certain loss during the washing process, excessive loss will affect the economic benefits, so it also needs to be considered. The rice washing time is also important. Too long or too short rice washing time may have a certain impact on the cleaning effect, but its importance is not as prominent as the impurity residual rate and the rice loss rate. Therefore, the weight corresponding to the impurity residual rate is the highest, the weight corresponding to the rice loss rate is second, and the weight corresponding to the rice washing time is relatively low.

[0064] It should be noted that the specific analysis method for obtaining the impurity residual rate of rice by sieving is as follows: the rice is divided into a number of equal portions according to a set amount, one of which is randomly selected as a rice sample, the rice sample is sieved using a sieve with a set aperture, and the impurities remaining on the sieve are weighed and recorded as the impurity weight, and the impurity residual rate of the rice is obtained by dividing the impurity weight by the weight of the rice sample, which is recorded as σ 杂质 .

[0065] The comprehensive evaluation module is used to analyze and obtain the comprehensive evaluation index of the backwash water for soaking rice according to the smoothness of rice feeding, the compliance degree of the rice soaking process, the process evaluation coefficient of the backwash water, and the rice cleaning evaluation coefficient, and provide feedback thereon.

[0066] The specific analysis method of the comprehensive evaluation module is: respectively reading the smoothness of rice feeding λ, the compliance degree of the rice soaking process ρ, and the process evaluation coefficient of the backwash water The rice cleaning evaluation coefficient χ is substituted into the formula Get the comprehensive evaluation index of rice soaking backwash water Among them, w1, w2, w3, and w4 respectively represent the set smoothness of rice feeding, the degree of compliance of the rice soaking process, the process evaluation coefficient of the backwash water, and the weight factors of the rice cleaning evaluation coefficient. The comprehensive evaluation index of the backwash water for rice soaking is compared with the preset comprehensive evaluation index threshold. If the comprehensive evaluation index of the backwash water for rice soaking is greater than or equal to the preset comprehensive evaluation index threshold, it means that the comprehensive evaluation index of the backwash water for rice soaking is qualified. If the comprehensive evaluation index of the backwash water for rice soaking is less than the preset comprehensive evaluation index threshold, it means that the comprehensive evaluation index of the backwash water for rice soaking is unqualified, and feedback is given to the system; it provides a clear direction for improving the backwash process of rice soaking, and targeted improvements are made according to the unqualified aspects. Timely feedback is conducive to rapid adjustment and optimization, avoiding the continuous impact of problems, thereby indirectly improving efficiency.

[0067] It should be noted that, in a specific embodiment, w1 can be set to 0.1, w2 can be set to 0.3, w3 can be set to 0.3, and w4 can be set to 0.3. Although smooth rice discharge is important, compared with other aspects, it has relatively little effect on the quality and effect of the overall rice soaking backwashing process. Whether the rice soaking process meets the requirements is directly related to the subsequent effects and the quality of rice, and has a relatively important position. Backwashing water also plays a key role in cleaning and improving the quality of rice, and is quite important to the degree of compliance with the rice soaking process. Good cleaning is a key link in ensuring the quality of rice, and its importance is self-evident. Therefore, the weights corresponding to the degree of compliance of the rice soaking process, the process evaluation coefficient of backwashing water, and the cleaning evaluation coefficient of rice are equal, and the weight corresponding to the smoothness of rice discharge is lower.

[0068] Management database for storing water tank dimensions, valve opening and water flow rate proportional constants.

[0069] The present invention obtains the adjustment demand coefficient of the water inlet system according to the operation parameter analysis of the water inlet system, and then determines whether the water inlet system needs to perform parameter adjustment, and regulates the valve opening; obtains the turbidity degree of the first round of rice washing water according to the turbidity of the rice washing water and the impurity amount of the rice washing water, and then determines the number of rounds of backwashing water; obtains the process evaluation coefficient of the backwashing water according to the backwashing water parameter analysis, and then obtains the comprehensive evaluation index of the rice soaking backwashing water through comprehensive analysis, and feedback is given to the comprehensive evaluation index, so that problems existing in the process can be discovered and improved in time, and the entire rice soaking and backwashing process can be further optimized.

[0070] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations on the present invention. A person skilled in the art may make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention and they are still covered by the protection scope of the present invention.

Claims

1. An automatic control system for backwashing water for soaking rice, characterized in that: The system specifically includes the following modules: The water inlet detection module is used to monitor the operating parameters of the water inlet system in real time. The operating parameters include the single water inlet volume, the abnormal fluctuation degree of the water inlet flow, and the stability degree of the water inlet pressure; The water inlet control module is used to obtain the adjustment demand coefficient of the water inlet system according to the operating parameters of the water inlet system, and then determine whether the water inlet system needs to be adjusted in parameters, and regulate the valve opening; The rice delivery detection module is used to detect the rice delivery flow rate in each time period and analyze the smoothness of rice delivery λ; The rice soaking detection module is used to detect the water temperature and soaking time of rice soaking, and analyze the compliance degree ρ of the rice soaking process; The backwash water analysis module is used to determine whether to continue the next round of backwash water according to the turbidity and impurity content of the rice washing water and record the number of backwash water rounds, and then analyze and obtain the process evaluation coefficient of the backwash water. Backwash water parameters include the actual flow rate of each round of backwash water flow at each detection time point, the pressure stability of each round of backwash water flow, and the interval time between each round of backwash water flow; The rice washing evaluation module is used to detect the rice loss rate and impurity residual rate, and analyze and obtain the rice cleaning evaluation coefficient χ; A comprehensive evaluation module is used to analyze and obtain a comprehensive evaluation index of the backwash water for rice soaking according to the smoothness of rice feeding, the compliance degree of the rice soaking process, the process evaluation coefficient of the backwash water, and the rice cleaning evaluation coefficient, and to provide feedback thereon; Management database for storing water tank dimensions, valve opening and water flow rate proportional constants.

2. The automatic control system for backwashing water during rice soaking according to claim 1, characterized in that: The specific analysis method of the water inlet detection module is: The first step is to detect the initial water level of the water tank before the water inlet system enters the water system, which is recorded as h0. After the single water inlet is completed, the water level of the water tank is measured again, which is recorded as h. The size of the water tank is read from the management database, and the bottom area M of the water tank is calculated. 底 At the same time, several time points are selected in the single water inflow process of the water inlet system according to the set time, recorded as each time point, and the flow rate of the water inlet pipeline at each time point is detected by the flow sensor, recorded as v i , i represents the number of the i-th time point, i=1,2,...,n, and the set time length is recorded as Δt. Get the single water inflow V of the water inlet system, and use the formula The abnormal fluctuation degree β of the inlet flow of the inlet system is obtained, where n represents the number of time points; The second step is to install a pressure sensor on the water inlet pipe to detect the pressure exerted by the water on the pipe wall at each time point, which is recorded as the water inlet pressure P at each time point in the water inlet pipe. i , the average water inlet pressure of the water inlet pipe is obtained by taking the average value of the water inlet pressure at each time point, which is recorded as Substituting this into the formula Obtain the water inlet pressure stability α of the water inlet system.

3. The automatic control system for backwashing water during rice soaking according to claim 2, characterized in that: The specific analysis method of the water inlet control module is: The first step is to read the single water inflow volume V, the abnormal fluctuation degree of the inflow flow β, and the stability degree of the inflow pressure α of the water inlet system, and substitute them into the formula The adjustment demand coefficient δ of the water inlet system is obtained, where V0 represents the set single water consumption, φ1, φ2, φ3 represent the weight factors of the set single water inlet volume, the abnormal fluctuation degree of the inlet water flow, and the stability degree of the inlet pressure, and e represents a natural constant; In the second step, the adjustment demand coefficient of the water inlet system is compared with the preset adjustment demand coefficient threshold. If the adjustment demand coefficient of the water inlet system is less than or equal to the preset adjustment demand coefficient threshold, it means that the water inlet system does not need to adjust parameters. If the adjustment demand coefficient of the water inlet system is greater than the preset adjustment demand coefficient threshold, it means that the water inlet system needs to adjust parameters. The single water inlet volume difference ΔV of the water inlet system is obtained by the formula ΔV=|V-V0|, and the proportional constant of the valve opening and the water flow rate is read from the management database. It is compared with the single water inlet volume difference of the water inlet system to obtain the valve opening corresponding to the single water inlet volume difference of the water inlet system, which is recorded as K 进水量 According to the method of analyzing the difference of single water inflow volume of the water inlet system, the difference of abnormal fluctuation degree of water inlet flow Δβ and the difference of stability degree of water inlet pressure Δα are analyzed respectively, and they are compared with the valve opening corresponding to each abnormal fluctuation degree difference range and the valve opening corresponding to each inlet pressure stability degree difference range, and the valve opening corresponding to the difference of abnormal fluctuation degree of water inlet flow and the difference of stability degree of water inlet pressure are obtained, which is recorded as K 进水水流 , K 进水压力 , through the formula The opening K of the valve that needs to be regulated is obtained, and the valve opening is regulated accordingly.

4. The automatic control system for backwashing water during rice soaking according to claim 1, characterized in that: The specific analysis method of the rice detection module is as follows: The rice feeding process is divided into several time periods according to the set interval length, and the rice fed in each time period is weighed, which is recorded as the weight of rice fed in each time period M f , f represents the number of the f-th time period, f=1,2,...,k, and the set interval length is recorded as t, through the formula Get the rice delivery flow v in each time period f , the average flow rate of rice is obtained by taking the average value, which is recorded as Substituting this into the formula Get the smoothness λ of the next k, where k represents the number of time periods.

5. The automatic control system for backwashing water during rice soaking according to claim 1, characterized in that: The specific analysis method of the soaked rice detection module is: Several temperature time points are taken at set time intervals, and the water temperature at each temperature time point during the rice soaking process is monitored by a temperature sensor, and the rice soaking water temperature is obtained by taking the average value, which is recorded as At the same time, record the soaking time of rice, record it as T, and substitute it into the formula The degree of compliance of the rice soaking process ρ is obtained. T0 represents the optimal water temperature and optimal time for soaking rice. They respectively represent the weight factors of the set rice soaking water temperature and rice soaking time.

6. The automatic control system for backwashing water during rice soaking according to claim 5, characterized in that: The specific analysis method of the backwash water analysis module is: The first step is to start the backwashing process. After the first round of backwashing process, the turbidity of the rice washing water is detected by the turbidity sensor, which is recorded as υ. At the same time, the rice washing water sample is weighed, which is recorded as the rice washing water sample weight. The rice washing water sample is filtered by a filter, and the filtered rice washing water is weighed, which is recorded as the net weight of the rice washing water, recorded as M", and the impurity amount of the rice washing water is obtained by subtracting the weight of the rice washing water sample from the net weight of the rice washing water, which is recorded as ΔM", through the formula The turbidity degree ε of the first round of rice washing water is obtained, where η1 and η2 represent the weight factors of the set turbidity and impurity amount respectively; In the second step, the turbidity of the first round of rice washing water is compared with a preset turbidity threshold value, if the turbidity of the first round of rice washing water is less than the preset turbidity threshold value, then the backwash water is stopped, if the turbidity of the first round of rice washing water is greater than or equal to the preset turbidity threshold value, then the turbidity of the first round of rice washing water is represented to be unqualified, the second round of backwash water is opened, and after the second round of backwash water finishes, according to the method for analyzing the turbidity of the first round of rice washing water, the turbidity of the second round of rice washing water is analyzed and compared with the preset turbidity threshold value, the backwash water circulation is carried out with this, until the turbidity of the rice washing water is less than the preset turbidity threshold value, the backwash water is stopped, and the number of rounds of the record backwash water is recorded, which is designated as 1; The third step is to start the backwash process. According to the set duration, several time points are selected from the single round of backwash process, which are recorded as the detection time points. The actual flow rate of each round of backwash water flow at each detection time point is detected by the flow meter, which is recorded as Q gm , g represents the number of the g-th round of backwash water, g = 1, 2, ..., l, m represents the number of the m-th detection time point, m = 1, 2, ..., q, and at the same time, the pressure sensor at the water inlet pipe is used to detect the pressure of each round of backwash water flow at each detection time point to obtain the pressure of each round of backwash water flow at each detection time point. According to the method of analyzing the stability of the water inlet pressure of the water inlet system, the pressure of each round of backwash water flow at each detection time point is analyzed to obtain the pressure stability of each round of backwash water flow, which is recorded as ξ g , and record the interval between each round of backwashing water, recorded as Substituting this into the formula Get the process evaluation coefficient of backwash water Among them, a1, a2, and a3 represent the weight factors of the set actual flow rate, pressure stability, and intermittent duration, respectively, and Q0 represents the set water flow reference value. Indicates the set backwash water interval duration.

7. The automatic control system for backwashing water during rice soaking according to claim 6, characterized in that: The specific analysis method of the rice washing evaluation module is: Record the time taken by the system from soaking rice to the end of the backwashing process, which is recorded as the rice washing time T'. After the backwashing process is completed, weigh the rice and record it as the weight of the washed rice M'. Read the weight of rice put in each time period M f , put it into the formula Get the rice loss rate σ 米 , and the impurity residual rate of rice is obtained by sieving, denoted as σ 杂质 , substituting it into the formula The rice washing evaluation coefficient χ is obtained, where T'0 represents the reference value of the set rice washing time, μ1, μ2, and μ3 represent the weight factors of the set rice washing time, rice loss rate, and impurity residual rate, respectively, and e represents a natural constant.

8. The automatic control system for backwashing water during rice soaking according to claim 7, characterized in that: The specific analysis method of the comprehensive evaluation module is: Read the smoothness of rice feeding λ, the compliance degree of rice soaking process ρ, and the process evaluation coefficient of backwash water respectively The rice cleaning evaluation coefficient χ is substituted into the formula Get the comprehensive evaluation index of rice soaking backwash water Among them, w1, w2, w3, and w4 respectively represent the set smoothness of rice feeding, the degree of compliance of the rice soaking process, the process evaluation coefficient of the backwash water, and the weight factors of the rice cleaning evaluation coefficient. The comprehensive evaluation index of the backwash water for rice soaking is compared with the preset comprehensive evaluation index threshold. If the comprehensive evaluation index of the backwash water for rice soaking is greater than or equal to the preset comprehensive evaluation index threshold, it means that the comprehensive evaluation index of the backwash water for rice soaking is qualified. If the comprehensive evaluation index of the backwash water for rice soaking is less than the preset comprehensive evaluation index threshold, it means that the comprehensive evaluation index of the backwash water for rice soaking is unqualified, and feedback is given to the system.

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