A drying process for oligofructose powder with low water activity

Abstract

The invention belongs to the technical field of drying oligofructose powder, and specifically is a drying process for oligofructose powder with low water activity. A difference value CYZ is obtained by combining temperature, wind speed and power consumption, and a control value TKZ is evaluated according to the time variation trend of the difference value CYZ, so that the operation state of a drying tower can be judged more accurately, and an alarm is given in time to avoid more energy waste. When an abnormality has occurred in the drying tower and an alarm signal appears, an evolution module is established through non-standard working data of the drying tower in historical data, and data with the smallest power consumption value is selected from the evolution model as input data to obtain drying temperature data and wind speed data of the drying tower in an evaluation result. The actual drying temperature data and wind speed data of the drying tower are made consistent with those in the evaluation result through control, so as to reduce energy waste to the greatest extent.

Description

Technical Field

[0001] The invention belongs to the technical field of oligofructose powder drying, in particular to a drying process for oligofructose powder with low water activity. Background Art

[0002] Drying of oligofructose powder is a key production process, and its main purpose is to remove moisture from oligofructose crystals to ensure the quality and stability of the product. Currently, most drying towers are required to dry oligofructose powder.

[0003] During the actual operation of existing drying towers, due to different settings of temperature parameters and wind speed parameters, the higher the temperature and the greater the wind speed, the faster the drying speed. When the temperature is high and the wind speed is low, or the temperature is low and the wind speed is high, although the same drying speed can be achieved, it will lead to high power consumption and energy waste. In addition, it is impossible to detect and adjust in time when an abnormality occurs in the drying tower, resulting in a large waste of energy.

[0004] To this end, the present invention provides a drying process for oligofructose powder with low water activity. Summary of the invention

[0005] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0006] The technical solution adopted by the present invention to solve the technical problem is: a drying process of a low water activity oligofructose powder according to the present invention comprises:

[0007] Raw material preparation: mix oligofructose, protein powder, whole milk powder and dietary fiber according to the pre-approved ratio to prepare oligofructose powder;

[0008] Concentration: inject the prepared oligofructose powder into a negative pressure concentration kettle, concentrate the oligofructose powder through the negative pressure concentration kettle, and obtain the moisture content NSL after concentration;

[0009] Centrifugal spray drying: The concentrated oligofructose powder is injected into the drying tower for centrifugal spray drying. The hot air blower provides hot air, and the oligofructose powder is sprayed out in the form of mist through the centrifugal spray device, which is fully in contact with the hot air, thereby achieving rapid drying;

[0010] Drying control: Set the collection cycle of the drying process, collect the working parameters of the drying tower and the actual moisture content SSL, where the working parameters include the drying rate value SLZ, the power consumption value DHZ, the temperature value of the drying tower and the wind speed value; analyze the working parameters of the drying tower, obtain the control value TKZ of the drying tower, and compare the control value TKZ of the drying tower with the preset control value YTK of the drying tower;

[0011] If the control value TKZ of the drying tower is greater than the preset control value YTK of the drying tower, it is judged that the working parameter setting of the drying tower is unreasonable, there is a waste of energy consumption, and an alarm signal is generated;

[0012] Based on the alarm signal, the operation process of the drying tower is detected in real time to obtain the monitoring data of the drying tower, wherein the monitoring data includes the temperature value and wind speed value of the drying tower. The detection data is input into the evolution model for evolution to obtain the evaluation result;

[0013] According to the evaluation results, the temperature and wind speed values ​​of the drying tower are adjusted to complete the drying of the oligofructose powder.

[0014] Furthermore, the drying rate value SLZ is obtained as follows:

[0015] The difference between the moisture content NSL after concentration and the actual moisture content SSL is obtained, and then the ratio of the difference to the collection cycle length is obtained to obtain the drying rate value SLZ.

[0016] Furthermore, the power consumption value DHZ is obtained as follows:

[0017] The current value and voltage value of the power supply line of the drying tower are collected, and the product of the current value and the voltage value is obtained to obtain the power consumption value DHZ.

[0018] Furthermore, if the control value TKZ of the drying tower is ≤ the preset control value YTK of the drying tower, it indicates that the parameters of the drying tower are properly set and no control is required.

[0019] Furthermore, the working parameters of the drying tower are analyzed, specifically:

[0020] According to the standard working database of the drying tower, the preset power consumption value GHB of the drying tower under the drying speed value SLZ, as well as the standard temperature value WB and the standard wind speed value FB under the corresponding preset power consumption value are obtained; the actual temperature value WS, the actual wind speed value FS and the actual power consumption value GHS corresponding to the drying tower under the drying rate value SLZ are obtained, and the difference value CYZ is obtained by calculation, and the control value TKZ is evaluated according to the changing trend of the difference value CYZ over time.

[0021] Furthermore, the specific method of obtaining the difference value CYZ is as follows:

[0022] The actual temperature value WS, actual wind speed value SB and actual power consumption value GHS corresponding to the drying tower at the drying rate value SLZ, as well as the preset power consumption value GHB of the drying tower at the drying speed value SLZ, are corresponding to the standard temperature value WB and standard wind speed value FB at the preset power consumption value to obtain the difference value CYZ.

[0023] Furthermore, the control value TKZ is obtained as follows:

[0024] The collection period is divided into several time nodes, and the difference value CYZ under the drying tower and drying speed value SLZ of each time node is obtained. With the time node as the X-axis and the difference value CYZ as the Y-axis, a curve graph of the difference value CYZ changing with time is established, and the difference value CYZ is compared with the preset difference value threshold. If the difference value CYZ is greater than the preset difference value threshold, the time node is marked, and the total number of marked points is recorded as ZB. The variance mean FC of the difference value CYZ of all marked points and the preset difference value threshold is used to obtain the control value TKZ through the formula TKZ=ZB×b1+FC×b2.

[0025] Furthermore, the drying tower standard working database stores a comparison table of drying rate values ​​and power consumption values ​​and preset drying tower control values ​​YTK.

[0026] Furthermore, the method for acquiring the evolution module includes:

[0027] Establish an artificial intelligence model, and retrieve the power consumption value change over time and the corresponding historical data under the non-standard working state of the drying tower under the same drying rate value through the Internet, wherein the historical data includes the drying temperature data and wind speed data of the drying tower under the non-standard working state;

[0028] The time-varying development process of the power consumption value of the drying tower under non-standard working conditions and the corresponding historical data are integrated as a training set, where the historical data is the input data, and the time-varying development process of the corresponding power consumption value of the drying tower is the output data. The artificial intelligence model is trained using the training set, and the trained artificial intelligence model is marked as an evolutionary model.

[0029] Furthermore, the output data is integrated, and the set of data with the lowest power consumption value is marked as the evaluation result. The drying temperature data and wind speed data of the drying tower in the evaluation result are obtained, and the actual drying temperature data and wind speed data of the drying tower are made consistent with those in the evaluation result through regulation.

[0030] The beneficial effects of the present invention are as follows:

[0031] 1. The drying process of the low water activity oligofructose powder described in the present invention obtains the difference value CYZ by combining temperature, wind speed and power consumption, and then evaluates the control value TKZ according to the time trend of the difference value CYZ, so as to more accurately judge the operation status of the drying tower, give an alarm in time, and avoid more energy waste.

[0032] 2. In the drying process of the low water activity oligofructose powder described in the present invention, an abnormality has occurred in the drying tower and an alarm signal appears. An evolution module is established through the non-standard working data of the drying tower in the historical data, and the data with the smallest power consumption value is selected from the evolution model as input data to obtain the drying temperature data and wind speed data of the drying tower in the evaluation result. The actual drying temperature data and wind speed data of the drying tower are made consistent with those in the evaluation result through regulation, thereby minimizing energy waste. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The present invention will be further described below in conjunction with the accompanying drawings.

[0034] Figure 1 The present invention is a process flow chart of a drying process for oligofructose powder with low water activity. DETAILED DESCRIPTION

[0035] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0036] Embodiment 1

[0037] like Figure 1 As shown, a drying process of a low water activity oligofructose powder according to an embodiment of the present invention comprises:

[0038] Raw material preparation: mix oligofructose, protein powder, whole milk powder and dietary fiber according to the pre-approved ratio to prepare oligofructose powder;

[0039] Concentration: Inject the prepared oligofructose powder into the negative pressure concentration kettle, and concentrate the oligofructose powder through the negative pressure concentration kettle to obtain the moisture content NSL after concentration; the moisture content of the mixture can be controlled to ensure the effect of subsequent centrifugal drying. At the same time, the concentrated oligofructose powder is conducive to subsequent hot air drying due to its own high temperature;

[0040] Centrifugal spray drying: The concentrated oligofructose powder is injected into the drying tower for centrifugal spray drying. The hot air blower provides hot air, and the oligofructose powder is sprayed out in the form of mist through the centrifugal spray device, which is fully in contact with the hot air, thereby achieving rapid drying;

[0041] Drying control: Set the collection cycle of the drying process, collect the working parameters of the drying tower and the actual moisture content SSL, where the working parameters include the drying rate value SLZ, the power consumption value DHZ, the temperature value of the drying tower and the wind speed value; analyze the working parameters of the drying tower, obtain the control value TKZ of the drying tower, and compare the control value TKZ of the drying tower with the preset control value YTK of the drying tower;

[0042] If the control value TKZ of the drying tower is greater than the preset control value YTK of the drying tower, it is judged that the working parameter setting of the drying tower is unreasonable, there is a waste of energy consumption, and an alarm signal is generated;

[0043] Based on the alarm signal, the operation process of the drying tower is detected in real time to obtain the monitoring data of the drying tower, wherein the monitoring data includes the temperature value and wind speed value of the drying tower. The detection data is input into the evolution model for evolution to obtain the evaluation result;

[0044] According to the evaluation results, the temperature and wind speed values ​​of the drying tower are adjusted to complete the drying of the oligofructose powder.

[0045] The drying rate value SLZ is obtained as follows:

[0046] The difference between the moisture content NSL after concentration and the actual moisture content SSL is obtained, and then the ratio of the difference to the collection cycle length is obtained to obtain the drying rate value SLZ.

[0047] The power consumption value DHZ is obtained as follows:

[0048] The current value and voltage value of the power supply line of the drying tower are collected, and the product of the current value and the voltage value is obtained to obtain the power consumption value DHZ.

[0049] If the control value TKZ of the drying tower is ≤ the preset control value YTK of the drying tower, it indicates that the parameters of the drying tower are appropriately set and no control is required.

[0050] The working parameters of the drying tower are analyzed as follows:

[0051] According to the standard working database of the drying tower, the preset power consumption value GHB of the drying tower under the drying speed value SLZ, as well as the standard temperature value WB and the standard wind speed value FB under the corresponding preset power consumption value are obtained; the actual temperature value WS, the actual wind speed value FS and the actual power consumption value GHS corresponding to the drying tower under the drying rate value SLZ are obtained, and the difference value CYZ is obtained by calculation, and the control value TKZ is evaluated according to the changing trend of the difference value CYZ over time.

[0052] In some embodiments, the standard working database of the drying tower is a calibrated database of preset power consumption values ​​corresponding to different drying speed values, as well as standard temperature values ​​and standard wind speed values ​​corresponding to the preset power consumption values, for the drying tower when it leaves the factory. These values ​​can be directly obtained according to the factory parameter manual. However, during the actual operation of the drying tower, due to different settings of temperature parameters and wind speed parameters, the higher the temperature and the greater the wind speed, the faster the drying speed. When the temperature is high and the wind speed is low, or the temperature is low and the wind speed is high, although the same drying speed can be achieved, it will result in high power consumption and energy waste. The difference value CYZ is obtained by combining the temperature, wind speed and power consumption, and the control value TKZ is evaluated by the change trend of the difference value CYZ over time, so that the operating status of the drying tower can be judged more accurately.

[0053] The specific method of obtaining the difference value CYZ is:

[0054] Substitute the actual temperature value WS, actual wind speed value SB and actual power consumption value GHS corresponding to the drying tower under the drying rate value SLZ, as well as the preset power consumption value GHB of the drying tower under the drying speed value SLZ, the standard temperature value WB and standard wind speed value FB corresponding to the preset power consumption value into the formula A difference value CYZ is obtained, wherein a1, a2 and a3 are all preset proportional coefficients, and a3>a2>a1, a3+a2+a1=1.

[0055] In some embodiments, since the drying speed is the same, a larger power consumption value means a greater energy consumption to complete the drying of oligofructose powder, and wind speed has a greater impact on the drying speed than temperature, so the preset proportional coefficient a3>a2>a1.

[0056] The control value TKZ is obtained as follows:

[0057] The collection period is divided into several time nodes, and the difference value CYZ under the drying tower and drying speed value SLZ of each time node is obtained. With the time node as the X-axis and the difference value CYZ as the Y-axis, a curve graph of the difference value CYZ changing with time is established, and the difference value CYZ is compared with the preset difference value threshold. If the difference value CYZ is greater than the preset difference value threshold, the time node is marked, and the total number of marked points is recorded as ZB. The variance mean FC of the difference value CYZ of all marked points and the preset difference value threshold is used to obtain the control value TKZ through the formula TKZ=ZB×b1+FC×b2.

[0058] In some embodiments, the control value TKZ is evaluated by the time-varying trend of the difference value CYZ, so the stability of the operating state of the drying tower can be judged. The difference value CYZ is obtained by combining the temperature, wind speed and power consumption to calculate the difference value, and the control value TKZ is obtained by the time-varying trend of the difference value CYZ. This shows that the larger the control value, the worse the operating state of the drying tower. The operating state of the drying tower can be evaluated by combining multiple factors.

[0059] The drying tower standard working database stores a comparison table of drying rate values ​​and power consumption values ​​and preset drying tower control values ​​YTK.

[0060] Embodiment 2

[0061] Comparative Example 1, wherein another embodiment of the present invention is:

[0062] The method for obtaining the evolution module includes:

[0063] Establish an artificial intelligence model, and retrieve the power consumption value change over time and the corresponding historical data under the non-standard working state of the drying tower under the same drying rate value through the Internet, wherein the historical data includes the drying temperature data and wind speed data of the drying tower under the non-standard working state;

[0064] The time-varying development process of the power consumption value of the drying tower under non-standard working conditions and the corresponding historical data are integrated as a training set, where the historical data is the input data, and the time-varying development process of the corresponding power consumption value of the drying tower is the output data. The artificial intelligence model is trained using the training set, and the trained artificial intelligence model is marked as an evolutionary model.

[0065] The output data is integrated, and the set of data with the lowest power consumption value is marked as the evaluation result. The drying temperature data and wind speed data of the drying tower in the evaluation result are obtained, and the actual drying temperature data and wind speed data of the drying tower are made consistent with those in the evaluation result through regulation.

[0066] In some embodiments, when an abnormality has occurred in a drying tower and an alarm signal appears, an evolution module is established using the non-standard working data of the drying tower in historical data, and data with the smallest power consumption value is selected from the evolution model as input data to obtain the drying temperature data and wind speed data of the drying tower in the evaluation results. The actual drying temperature data and wind speed data of the drying tower are made consistent with those in the evaluation results through regulation, thereby minimizing energy waste.

[0067] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A drying process for low water activity oligofructose powder, characterized in that: include Raw material preparation: mix oligofructose, protein powder, whole milk powder and dietary fiber according to the pre-approved ratio to prepare oligofructose powder; Concentration: inject the prepared oligofructose powder into a negative pressure concentration kettle, concentrate the oligofructose powder through the negative pressure concentration kettle, and obtain the moisture content NSL after concentration; Centrifugal spray drying: The concentrated oligofructose powder is injected into the drying tower for centrifugal spray drying. The hot air blower provides hot air, and the oligofructose powder is sprayed out in the form of mist through the centrifugal spray device, which is fully in contact with the hot air, thereby achieving rapid drying; Drying control: Set the collection cycle of the drying process, collect the working parameters of the drying tower and the actual moisture content SSL, where the working parameters include the drying rate value SLZ, the power consumption value DHZ, the temperature value of the drying tower and the wind speed value; analyze the working parameters of the drying tower, obtain the control value TKZ of the drying tower, and compare the control value TKZ of the drying tower with the preset control value YTK of the drying tower; If the control value TKZ of the drying tower is greater than the preset control value YTK of the drying tower, it is judged that the working parameter setting of the drying tower is unreasonable, there is a waste of energy consumption, and an alarm signal is generated; Based on the alarm signal, the operation process of the drying tower is detected in real time to obtain the monitoring data of the drying tower, wherein the monitoring data includes the temperature value and wind speed value of the drying tower. The detection data is input into the evolution model for evolution to obtain the evaluation result; According to the evaluation results, the temperature and wind speed values ​​of the drying tower are adjusted to complete the drying of the oligofructose powder. The drying rate value SLZ is obtained as follows: Obtain the difference between the moisture content NSL after concentration and the actual moisture content SSL, and then obtain the ratio of the difference to the collection cycle length to obtain the drying rate value SLZ; The power consumption value DHZ is obtained as follows: Collect the current value and voltage value of the power supply line of the drying tower, obtain the product of the current value and the voltage value, and obtain the power consumption value DHZ; The working parameters of the drying tower are analyzed as follows: According to the drying tower standard work database, the preset power consumption value GHB of the drying tower under the drying speed value SLZ, as well as the standard temperature value WB and the standard wind speed value FB under the corresponding preset power consumption value are obtained; the actual temperature value WS, the actual wind speed value FS and the actual power consumption value GHS corresponding to the drying tower under the drying rate value SLZ are obtained, and the difference value CYZ is obtained by calculation, and the control value TKZ is evaluated according to the change trend of the difference value CYZ over time; The specific method of obtaining the difference value CYZ is: The actual temperature value WS, the actual wind speed value SB and the actual power consumption value GHS of the drying tower corresponding to the drying rate value SLZ, and the preset power consumption value GHB of the drying tower under the drying speed value SLZ, are corresponding to the standard temperature value WB and the standard wind speed value FB under the preset power consumption value, and the difference value CYZ is calculated; The control value TKZ is obtained as follows: The collection period is divided into several time nodes, and the difference value CYZ under the drying tower and drying speed value SLZ of each time node is obtained. With the time node as the X-axis and the difference value CYZ as the Y-axis, a curve chart of the difference value CYZ changing with time is established, and the difference value CYZ is compared with the preset difference value threshold; If the difference value CYZ is greater than the preset difference value threshold, the time node is marked and the total number of marked points is recorded as ZB; the variance mean FC of the difference values ​​CYZ of all marked points and the preset difference value threshold is used to obtain the control value TKZ through the formula TKZ=ZB×b1+FC×b2.

2. The drying process of a low water activity oligofructose powder according to claim 1, characterized in that: If the control value TKZ of the drying tower is ≤ the preset control value YTK of the drying tower, it indicates that the parameters of the drying tower are appropriately set and no control is required.

3. The drying process of a low water activity oligofructose powder according to claim 1, characterized in that: The drying tower standard working database stores a comparison table of drying rate values ​​and power consumption values ​​and preset drying tower control values ​​YTK.

4. The drying process of a low water activity oligofructose powder according to claim 1, characterized in that: The method for obtaining the evolution module includes: Establish an artificial intelligence model, and retrieve the power consumption value change over time and the corresponding historical data under the non-standard working state of the drying tower under the same drying rate value through the Internet, wherein the historical data includes the drying temperature data and wind speed data of the drying tower under the non-standard working state; The time-varying development process of the power consumption value of the drying tower under non-standard working conditions and the corresponding historical data are integrated as a training set, where the historical data is the input data, and the time-varying development process of the corresponding power consumption value of the drying tower is the output data. The artificial intelligence model is trained using the training set, and the trained artificial intelligence model is marked as an evolutionary model.

5. The drying process of a low water activity oligofructose powder according to claim 1, characterized in that: The output data is integrated, and the set of data with the lowest power consumption value is marked as the evaluation result. The drying temperature data and wind speed data of the drying tower in the evaluation result are obtained, and the actual drying temperature data and wind speed data of the drying tower are made consistent with those in the evaluation result through regulation.

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