Spray drying equipment and system for seasoning powder

By installing multiple sensors in the spray drying equipment for coordinated control, the blockage problem caused by poor vibration effect was solved, and the drying effect and finished product quality were improved.

CN120661941AInactive Publication Date: 2025-09-19TIANJIN GUOZHIYUAN BIOLOGICAL TECH
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Patent Information

Application Number
CN202510922672.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-04
Publication Date
2025-09-19
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Existing spray drying equipment is prone to clogging when the vibration effect is poor, resulting in reduced output and poor quality of finished products and poor drying effect.

Method used

Temperature sensors, humidity sensors, vibration sensors, weight sensors and power sensors are installed in the spray drying equipment. By collaboratively controlling the anti-blocking actuator components, the temperature, humidity, vibration and heating power during the spray drying process are monitored and adjusted in real time to optimize the operation of the anti-blocking actuator components.

Benefits of technology

By accurately obtaining the vibration data of the anti-blocking actuator components, the accuracy of coordinated control is ensured, the drying effect is improved, invalid energy consumption is reduced, and the quality of the finished product and output are guaranteed.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the technical field of seasoning powder drying, in particular to seasoning powder spray drying equipment and system. According to the method, during real-time operation of the spray drying equipment, the theoretical production efficiency and the theoretical efficiency error coefficient at each moment are obtained; the actual production efficiency at each moment is obtained by combining the weight data distribution of the residue filtering net, the inclined plate and the driving discharging assembly at different moments in the neighborhood range; heating power data is adjusted, and according to the temperature data and humidity data of the spray drying chamber and the anti-blocking actuating assembly at the real time after heating and power adjustment and the vibration disorder degree of the assembly, the influence coefficient of the temperature data on production at the real time is obtained; combining to obtain an influence coefficient of the temperature data on the component at the real-time moment; vibration correction data are obtained, and cooperative control is conducted on the anti-blocking actuating assembly. By accurately obtaining the vibration data of the anti-blocking actuating assembly during operation, the accuracy of cooperative control is ensured, and the drying effect is improved.
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Description

Technical Field

[0001] The present invention relates to the technical field of seasoning powder drying, and in particular to a seasoning powder spray drying device and system. Background Art

[0002] Spray drying equipment is a device used to dry liquid materials into powder or granular products. It is mainly composed of a spray system, a drying chamber, airflow equipment and a powder collection system. It can complete the drying process instantly and can better maintain the quality of heat-sensitive materials. The product particles are uniform and have good dispersibility, fluidity and solubility.

[0003] In the prior art, an anti-blocking actuator assembly is added to the equipment. By utilizing the interaction of components such as the bidirectional extrusion block, the inclined block, and the impact rod, repeated vibration of the filter screen and the inclined plate is achieved to prevent the occurrence of blockage. However, during the operation of the equipment, the relationship between the temperature and the anti-blocking actuator assembly is not considered. The higher temperature corresponds to the improvement of the seasoning powder production efficiency, which in disguise increases the working pressure of the filter screen and the inclined plate. If the vibration effect is not good, blockage may occur, resulting in a reduced output of the finished product, poor quality of the finished product, and poor drying effect. Summary of the Invention

[0004] In order to solve the technical problem that poor vibration effect may cause blockage and poor drying effect, the purpose of the present invention is to provide a seasoning powder spray drying device and system, and the technical solution adopted is as follows: A seasoning powder spray drying device is provided, wherein a temperature sensor and a humidity sensor are installed in a spray drying chamber of the spray drying device, a temperature sensor is installed in an anti-blocking actuating assembly, a vibration sensor is installed on a bidirectional extrusion block of the anti-blocking actuating assembly in the spray drying device, a weight sensor is installed on a filter screen, an inclined plate, a storage chamber, and a drive and discharge assembly of the spray drying device, and a power sensor is installed on an electric heating network of the spray drying device. The temperature sensor is used to obtain temperature data, the humidity sensor is used to obtain humidity data, the vibration sensor is used to obtain vibration data, including vibration frequency and vibration amplitude, the weight sensor is used to obtain weight data, and the power sensor is used to obtain heating power data, thereby achieving coordinated control of the anti-blocking actuating assembly in the spray drying device. The coordinated control method includes: During real-time operation of the spray drying equipment, the theoretical production efficiency and theoretical efficiency error coefficient at each moment are obtained based on the changes in weight data between the storage chamber and the drive and discharge components at different moments. The actual production efficiency at each moment is obtained based on the theoretical efficiency error coefficient at each moment and the weight data distribution of the filter screen, inclined plate, and drive and discharge components at different moments within the neighborhood. The real-time heating adjustment power is obtained based on the efficiency difference between the theoretical production efficiency and the actual production efficiency and the heating power data at the real time. The influence coefficient of the real-time temperature data on production is obtained based on the real-time temperature and humidity data of the spray drying chamber after the heating power is adjusted, as well as the weight data of the driving discharge component. Based on the real-time vibration data distribution of the anti-blocking actuator component, the real-time vibration disorder degree of the component is obtained; based on the changes in temperature data between the spray drying chamber and the anti-blocking actuator component at different times, as well as the vibration disorder degree of the component, the influence coefficient of the real-time temperature data on the component is obtained; According to the influence coefficient of temperature data on production and the influence coefficient of temperature data on components at real time, the vibration data is corrected to obtain vibration correction data, and the anti-blocking actuator components are coordinated and controlled.

[0005] Furthermore, the method for obtaining the theoretical production efficiency and the theoretical efficiency error coefficient includes: For the storage room, the difference in weight data between each moment and the previous moment is obtained as the storage change; Obtain the average value of the ratio of the change in stock volume at different times within the neighborhood of each moment to the weight data of the driving discharge component as the average conversion ratio; obtain the product of the average conversion ratio and the cumulative sum of the change in stock volume at all times within the neighborhood, and calculate the ratio of the product result to the quantity at all times as the theoretical production efficiency; Obtain the ratio of the weight data of the driving discharge component at each moment and the difference between the moments as the equipment production efficiency at each moment; The difference between the equipment production efficiency and the theoretical production efficiency at each moment is normalized and used as the theoretical efficiency error coefficient at each moment.

[0006] Furthermore, the method for obtaining the actual production efficiency includes: If the theoretical efficiency error coefficient at each moment is greater than the preset error threshold, for the inclined plate or filter screen, the difference in weight data between each moment and the previous moment is obtained as the weight change; Obtain the average value of the sum of the weight changes of the inclined plate and the weight changes of the filter residue at all times as the average weight data in the spray drying chamber; obtain the average weight data of the driving discharge component at all times as the average output weight; The difference between the average weight data in the spray drying chamber and the average output weight is obtained as the average stockpile volume; the ratio of the sum of the average stockpile volume and the weight data of the driving discharge component at each moment to the difference between adjacent moments is obtained as the actual production efficiency at each moment; On the contrary, the actual production efficiency at each moment is the equipment production efficiency.

[0007] Furthermore, both the efficiency difference and heating power data are positively correlated with the heating regulation power.

[0008] Furthermore, the method for obtaining the influence coefficient of the temperature data on production includes: The real-time weight data of the driving discharging component after heating and adjusting the power is used to obtain the real-time equipment production efficiency; For temperature data or equipment production efficiency as the data to be processed, the difference between the data to be processed at the real time and the previous time is obtained, and the ratio of the difference result and the difference between the times is calculated as the change rate of the data to be processed at the real time; According to the absolute value of the temperature change rate, the production efficiency change rate and the humidity data, the influence coefficient of the temperature data on the production at the real time is obtained. The absolute value of the temperature change rate is positively correlated with the influence coefficient of the temperature data on the production, and the production efficiency change rate and the humidity data are negatively correlated with the influence coefficient of the temperature data on the production.

[0009] Furthermore, the method for obtaining the vibration disorder degree of the component includes: The degree of component vibration disorder at real time is obtained based on the frequency difference between the component vibration frequency at real time and the preset component vibration frequency, as well as the amplitude difference between the component vibration amplitude at real time and the preset component vibration amplitude. Both the frequency difference and the amplitude difference are positively correlated with the degree of component vibration disorder.

[0010] Furthermore, the method for obtaining the influence coefficient of the temperature data on the component includes: Obtain the difference between the temperature data of the anti-blocking actuator component at the real time and the previous time and the difference between the corresponding times as the component drying temperature change rate at the real time; Based on the temperature difference in temperature data between the spray drying chamber and the anti-blocking actuator component at real time, the absolute value of the component drying temperature change rate and the degree of component vibration disorder, the influence coefficient of the real-time temperature data on the component is obtained. The temperature difference is negatively correlated with the component influence coefficient, and the absolute value of the spray drying temperature change rate and the degree of component vibration disorder are positively correlated with the component influence coefficient.

[0011] Furthermore, the method for obtaining the vibration correction data includes: Obtain the vibration adjustment coefficient based on the influence coefficient of temperature data on production and the influence coefficient of temperature data on components at each moment; Vibration correction data is obtained based on the vibration adjustment coefficient and vibration data at a real time, wherein the vibration adjustment coefficient and the vibration data are positively correlated with the vibration correction data, and the vibration correction data includes a vibration correction amplitude corresponding to the vibration amplitude and a vibration correction frequency corresponding to the vibration frequency.

[0012] Furthermore, the method for obtaining the vibration adjustment coefficient includes: The degree of influence of temperature data on components is negatively correlated, and the product of the normalized result and the influence coefficient of temperature data on production is calculated and normalized as the vibration adjustment coefficient at each moment.

[0013] The present invention provides a seasoning powder spray drying system, comprising a processor and a memory, wherein the processor is used to process instructions stored in the memory to implement the steps of any one of the above-mentioned seasoning powder spray drying devices.

[0014] The present invention has the following beneficial effects: The present invention obtains the theoretical production efficiency and the theoretical efficiency error coefficient at each moment according to the change of the weight data between the storage chamber and the driving and discharging component at different moments in the real-time operation of the spray drying equipment, and quantifies the production deviation; obtains the actual production efficiency at each moment according to the theoretical efficiency error coefficient at each moment and the weight data distribution of the filter residue screen, the inclined plate and the driving and discharging component at different moments in the neighborhood range, and reflects the real production status; obtains the heating adjustment power at the real moment according to the efficiency difference between the theoretical production efficiency and the actual production efficiency and the heating power data at the real moment, automatically compensates for the hot air temperature fluctuation, and maintains the drying efficiency stable; and obtains the heating adjustment power according to the heating adjustment power. The temperature and humidity data of the spray drying chamber at the time of power on the power supply are used to obtain the influence coefficient of the temperature data on production at the real time, which is conducive to quantifying the influence of temperature changes on seasoning production. The vibration data distribution of the anti-blocking actuator at the real time is used to obtain the vibration disorder degree of the component at the real time. The temperature data changes between the spray drying chamber and the anti-blocking actuator at different times, as well as the vibration disorder degree of the component, are used to obtain the influence coefficient of the temperature data on the component at the real time, which is conducive to quantifying the relationship between temperature changes and component status. The vibration correction data is obtained to coordinate the control of the anti-blocking actuator, and the ineffective energy consumption is reduced through vibration-temperature coordinated optimization. The present invention ensures the accuracy of coordinated control and improves the drying effect by accurately obtaining the vibration data of the anti-blocking actuator during operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0016] Figure 1 A flowchart of a collaborative control method provided by one embodiment of the present invention; Figure 2 This is a flow chart of a method for obtaining actual production efficiency provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0017] To further illustrate the technical means and effectiveness of the present invention in achieving its intended objectives, the following, in conjunction with the accompanying drawings and preferred embodiments, describes in detail the specific implementation, structure, features, and effectiveness of a seasoning powder spray drying device and system according to the present invention. In the following description, references to "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0018] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0019] The following describes in detail a specific solution of a seasoning powder spray drying device and system provided by the present invention with reference to the accompanying drawings.

[0020] The present invention proposes a method for analyzing the seasoning powder spray drying equipment, combining Figure 1 A specific analysis is conducted. The present invention aims to analyze a spray drying device for seasoning powder. Taking the device disclosed in the existing patent CN114452664B as an example, the spray drying device body includes: a storage chamber for storing liquid feed, an electric heating network that converts electrical energy into thermal energy, and rapidly heats the dry clean air. In the spray drying chamber, the clean hot air is fully contacted with the liquid feed spray to achieve rapid drying of the seasoning. The seasoning powder is transported by a driven discharge assembly. The seasoning powder generated during the spray drying process falls onto the inclined plate below. The hot exhaust gas generated during the spray drying process is filtered through a filter residue screen to remove the seasoning powder. During this process, an anti-blocking actuator causes the filter residue screen and the inclined plate to vibrate repeatedly, helping to prevent mesh clogging and ensuring a smooth filtration operation. Therefore, the embodiment of the present invention installs a temperature sensor and a humidity sensor in the spray drying chamber of the spray drying equipment, installs a temperature sensor in the anti-blocking actuator assembly, installs a vibration sensor on the bidirectional extrusion block of the anti-blocking actuator assembly in the spray drying equipment, installs a weight sensor on the filter screen, inclined plate, storage chamber and drive discharge assembly of the spray drying equipment, and installs a power sensor on the electric heating network of the spray drying equipment. The data of various sensors are obtained for processing to realize the coordinated control of the anti-blocking actuator assembly in the spray drying equipment. Therefore, the embodiment of the present invention can affect the drying condition of the seasoning powder spray through the coordinated control of the anti-blocking actuator assembly, thereby ensuring the drying quality of the seasoning powder spray drying equipment.

[0021] See also Figure 2 , which shows a flow chart of a method for coordinated control of an anti-blocking actuation component in a seasoning powder spray drying device provided by one embodiment of the present invention, including: Step S1: During the real-time operation of the spray drying equipment, the theoretical production efficiency and the theoretical efficiency error coefficient at each moment are obtained according to the change in weight data between the storage chamber and the drive and discharge assembly at different moments; the actual production efficiency at each moment is obtained according to the distribution of weight data of the filter screen, the inclined plate and the drive and discharge assembly at different moments within the neighborhood range of each moment.

[0022] Considering that when the output of seasoning powder suddenly increases, the vibration effect may be poor, resulting in blockage of the discharge port, causing the seasoning powder to be coked and the product quality to decrease, or when the output of seasoning powder decreases, excessive vibration causes the service life of the anti-blocking actuator to be reduced; in an embodiment of the present invention, in order to improve the working efficiency of the spray drying equipment, it is necessary to coordinate the control of the anti-blocking actuator components in the drying equipment to avoid the problem of affecting the drying quality during coordinated control. Therefore, temperature, humidity, weight, vibration and power sensors are installed in the equipment to obtain and analyze subsequent data.

[0023] It should be noted that, in the embodiment of the present invention, the data acquisition frequency of all sensors is uniformly set to ,Therefore ,ensure time alignment between different data dimensions. After completing data collection, all collected ,data samples are cleaned.

[0024] During operation, the spray dryer converts liquid feed into powdered or solid seasoning powder. Due to the humidity within the spray drying chamber, some powder may accumulate on the inclined plate. Water vapor also carries some powder, which is retained when passing through the filter screen. Consequently, the powder output from the drive and discharge assembly does not represent the full output, leading to errors in the analysis of seasoning powder production efficiency. During real-time operation, the theoretical production efficiency and theoretical efficiency error coefficient are calculated based on the changes in weight data between the storage chamber and the drive and discharge assembly at different times during the spray dryer's operation.

[0025] Preferably, in one embodiment of the present invention, the method for obtaining the theoretical production efficiency and the theoretical efficiency error coefficient includes: For the storage room, the difference in weight data between each moment and the previous moment is obtained as the storage change; Obtain the average value of the ratio of the change in stock volume at different times within the neighborhood of each moment to the weight data of the driving discharge component as the average conversion ratio; obtain the product of the average conversion ratio and the cumulative sum of the change in stock volume at all times within the neighborhood, and calculate the ratio of the product result to the quantity at all times as the theoretical production efficiency; Obtain the ratio of the weight data of the driving discharge component at each moment and the difference between the moments as the equipment production efficiency at each moment; The difference between the equipment production efficiency and the theoretical production efficiency at each moment is normalized and used as the theoretical efficiency error coefficient at each moment.

[0026] It should be noted that, in one embodiment of the present invention, the neighborhood range is a range consisting of historical moments selected based on each moment, excluding the base moment; in other embodiments of the present invention, the neighborhood range can be set according to specific circumstances, and is not limited or elaborated here.

[0027] It should be noted that in the embodiments of the present invention, normalization can be performed through linear normalization or a normalization function to normalize the values ​​to the range of [-1, 1]. The specific means are technical means of numerical values ​​known to those skilled in the art and will not be elaborated here.

[0028] Analyzing the theoretical efficiency error coefficient reveals the degree of deviation from theoretical efficiency, allowing adjustments to be made to actual production efficiency to more accurately reflect the accuracy of production efficiency. The actual production efficiency at each moment is determined by the theoretical efficiency error coefficient at each moment and the weight distribution of the filter screen, inclined plate, and drive discharge assembly at different times within the neighborhood.

[0029] Preferably, in one embodiment of the present invention, the method for obtaining the actual production efficiency is as follows: Figure 2 , which shows a flow chart of a method for obtaining actual production efficiency, including: Step S201: If the theoretical efficiency error coefficient at each moment is greater than a preset error threshold, for the inclined plate or filter screen, the difference in weight data between each moment and the previous moment is obtained as the weight change.

[0030] It should be noted that the larger the theoretical efficiency error coefficient is, the greater the deviation from the theoretical production efficiency is. Considering that no correction is performed when the error is small, the response speed of the equipment can be greatly improved, and since the error is small, it will not cause excessive impact when controlling the subsequent anti-blocking actuator component. In one embodiment of the present invention, the preset error threshold is set to 0.3; in other embodiments of the present invention, the size of the preset error threshold can be set according to the specific circumstances, and will not be limited or elaborated here.

[0031] Step S202: Obtain the average of the sum of the weight changes of the inclined plate and the weight changes of the filter residue at all times as the average weight data in the spray drying chamber; obtain the average of the weight data of the driving discharge component at all times as the average output weight.

[0032] The relevant data at all times are analyzed as a whole by averaging to reflect the overall weight change.

[0033] Step S203: Obtain the difference between the average weight data in the spray drying chamber and the average output weight as the average stockpile; obtain the ratio of the sum of the average stockpile and the weight data of the driving discharge component at each moment to the difference between adjacent moments as the actual production efficiency at each moment.

[0034] The difference between the average drying chamber weight and the average output weight reflects the amount of seasoning powder that has not been output in time. The sum of the average stockpiling amount and the weight data of the driving discharge component at each moment can reflect the comprehensive output weight of seasoning powder and reflect the actual production efficiency.

[0035] Step S204: On the contrary, the actual production efficiency at each moment is the equipment production efficiency.

[0036] Step S2: Obtain the heating adjustment power at the real time based on the efficiency difference between the theoretical production efficiency and the actual production efficiency at the real time and the heating power data; and obtain the influence coefficient of the temperature data on production at the real time based on the temperature and humidity data of the spray drying chamber at the real time after the heating power is adjusted.

[0037] To ensure the equipment operates at theoretical production efficiency, if actual production efficiency exceeds theoretical efficiency, the equipment's heating power needs to be reduced, thereby reducing the efficiency of the heating and drying process. Real-time differential feedback is used to adjust power to prevent temperature fluctuations. Therefore, the heating power data is adjusted based on the efficiency difference to quantify the power that needs to be adjusted. The real-time heating adjustment power is determined based on the efficiency difference between the theoretical and actual production efficiencies and the heating power data.

[0038] Preferably, in one embodiment of the present invention, the efficiency difference and the equipment heating power are both positively correlated with the heating regulation power.

[0039] It should be noted that if the actual production efficiency is lower than the theoretical production efficiency, that is, the greater the efficiency difference, the more the actual production efficiency needs to be improved, and the greater the heating adjustment power to improve the production efficiency; the larger the heating power data, the more it is necessary to improve the efficiency of equipment production, and the size of the heating power data needs to be increased. The greater the heating adjustment power, the positive correlation is with the heating adjustment power. Therefore, the heating adjustment power at each moment is analyzed through the efficiency difference and heating power.

[0040] Based on the real-time heating regulation power, the power of the electric heating network is adjusted to reach the heating regulation power, thereby re-collecting data from multiple sensors in the spray drying equipment at real time for subsequent analysis.

[0041] In one embodiment of the present invention, the efficiency difference is normalized to a numerical range of [-0.5, 0.5] as an adjustment coefficient; the sum of the positive integer 1 and the adjustment coefficient is calculated as the adjustment weight; the product of the adjustment weight and the heating efficiency data is calculated as the heating adjustment efficiency at each moment; therefore, based on the above basic mathematical operations, a correlation between the efficiency difference and the heating efficiency data and the heating adjustment power is constructed, that is, the larger the efficiency difference is, the smaller the actual production efficiency is relative to the theoretical production efficiency, the more the production efficiency needs to be improved, the more the equipment temperature needs to be heated, the higher the heating efficiency is adjusted, the greater the heating adjustment efficiency is, and it is helpful for drying processing.

[0042] When adjusting the equipment's heating power, it's necessary to analyze the temperature and humidity variations within the spray drying chamber. As the heating power increases, the higher the temperature, the more likely the seasoning powder will burn. At lower temperatures, the powder is more likely to absorb moisture and become sticky. Therefore, temperature impacts production continuity and quality. Based on the real-time temperature and humidity data of the spray drying chamber after power adjustment, as well as the weight data of the drive discharge assembly, the coefficient of influence of real-time temperature data on production is determined.

[0043] Preferably, considering that the humidity in the spray drying chamber should decrease when the temperature rises and should increase when the temperature drops, in one embodiment of the present invention, the method for obtaining the influence coefficient of temperature data on production includes: The real-time weight data of the driving discharging component after heating and adjusting the power is used to obtain the real-time equipment production efficiency; For temperature data or equipment production efficiency as the data to be processed, the difference between the data to be processed at the real time and the previous time is obtained, and the ratio of the difference result and the difference between the times is calculated as the change rate of the data to be processed at the real time; According to the temperature change rate, production efficiency change rate and humidity data, the impact coefficient of temperature data on production at the real time is obtained. The temperature change rate is positively correlated with the impact coefficient of temperature data on production, and the production efficiency change rate and humidity data are negatively correlated with the impact coefficient of temperature data on production.

[0044] It should be noted that, given that the temperature change rate is less than the preset rate threshold and the temperature is showing a downward trend, the higher the humidity data, the poorer the drying effect, the more likely it is to cause blockage, and reduced production efficiency. The greater the temperature change, the greater the impact on seasoning powder production. A higher production efficiency change rate is often driven by non-temperature factors, diluting the contribution of temperature regulation and reducing the temperature's impact on production. A higher humidity data value increases the water vapor partial pressure in the spray drying chamber, causing temperature changes to be absorbed by the moist air, buffering temperature fluctuations and reducing the temperature's impact on production. Therefore, the absolute value of the temperature change rate is positively correlated with the temperature's impact on production, while both the production efficiency change rate and humidity data are negatively correlated with the temperature's impact on production.

[0045] In one embodiment of the present invention, the production efficiency change rate is normalized to a numerical range of (-1, 1], the sum of the normalized result and the positive integer 1 is calculated, and a negative correlation mapping is performed to obtain the first influence coefficient; the absolute value of the temperature change rate, the humidity data, and the first influence coefficient are obtained and multiplied to obtain the influence coefficient of the temperature data on production at each moment. Therefore, based on the above basic mathematical operations, a correlation between the absolute value of the temperature change rate, the humidity data, the production efficiency change rate, and the humidity influence coefficient on production is constructed, that is, the greater the absolute value of the temperature change rate, the greater the decrease in temperature data, and the greater the production impact; the larger the humidity data, the smaller the production efficiency change rate, and the greater the impact on production.

[0046] Step S3: According to the changing trend of the vibration data at the real time, the vibration disorder degree of the component at the real time is obtained; according to the changes in the temperature data between the spray drying chamber and the anti-blocking actuator component at different times, and the vibration disorder degree of the component, the influence coefficient of the temperature data on the component at the real time is obtained.

[0047] Changes in vibration will affect the working state of the anti-blocking actuator component. The greater the change in vibration data, the more it deviates from the normal working state. By analyzing the changing trend of vibration data, the degree to which the vibration data deviates from the stable state can be quantified; based on the vibration data distribution of the anti-blocking actuator component at real time, the real-time degree of component vibration disorder can be obtained.

[0048] Preferably, when the temperature rises, the component will expand and be compressed, resulting in instability. The elasticity and structural stability of the anti-blocking actuator component will change. If the vibration data is maintained at a high level, irreversible damage to the component will occur. In one embodiment of the present invention, the method for obtaining the vibration disorder degree of the component includes: The degree of component vibration disorder at real time is obtained based on the frequency difference between the component vibration frequency at real time and the preset component vibration frequency, as well as the amplitude difference between the component vibration amplitude at real time and the preset component vibration amplitude. Both the frequency difference and the amplitude difference are positively correlated with the degree of component vibration disorder.

[0049] It should be noted that the more the vibration data deviates from the preset vibration data, the more unstable the operation of the component, the greater the degree of vibration disorder, and the greater the impact on the component. It is necessary to analyze the disorder through changes in vibration data.

[0050] In one embodiment of the present invention, the product of the frequency difference and the amplitude difference is obtained and normalized and mapped as the degree of component vibration disorder at each moment; therefore, a correlation between the frequency difference and the amplitude difference and the degree of component vibration disorder is constructed based on the above basic mathematical operations, that is, the larger the frequency difference, the larger the amplitude difference, and the greater the degree of component vibration disorder.

[0051] It should be noted that, in one embodiment of the present invention, the preset component vibration frequency and the preset component vibration amplitude are vibration data of the device when it is at the minimum vibration gear, which can be pre-implemented by the implementer through a remote control platform or technology such as the Internet of Things.

[0052] When the temperature rises, the working state of the anti-blocking actuator component will be affected, that is, the elastic coefficient and the stability of the structure will change. If the vibration data is too large, it will cause irreversible damage to the component. Therefore, the impact of temperature on the anti-blocking actuator component is analyzed. According to the changes in temperature data between the spray drying chamber and the anti-blocking actuator component at different times, as well as the degree of vibration disorder of the component, the influence coefficient of temperature data on the component at real time is obtained.

[0053] Preferably, in one embodiment of the present invention, the method for obtaining the influence coefficient of temperature data on a component includes: Obtain the difference between the temperature data of the anti-blocking actuator component at the real time and the previous time and the difference between the corresponding times as the component drying temperature change rate at the real time; Based on the temperature difference in temperature data between the spray drying chamber and the anti-blocking actuator component at real time, the absolute value of the component drying temperature change rate and the degree of component vibration disorder, the influence coefficient of the real-time temperature data on the component is obtained. The temperature difference is negatively correlated with the component influence coefficient, and the absolute value of the spray drying temperature change rate and the degree of component vibration disorder are positively correlated with the component influence coefficient.

[0054] It should be noted that the difference in temperature data of the anti-blocking actuator assembly between the real time moment and the previous moment reflects the difference between the corresponding moments and the change in temperature data of the anti-blocking actuator assembly at the real time moment. The larger the difference in temperature data, the greater the upward trend of temperature data, the more likely it is to cause component damage. The smaller the difference in temperature data, the greater the downward trend of temperature data, and the more likely it is that material breakage and forced cooling will occur. Therefore, the greater the change in temperature data of the anti-blocking actuator assembly, the greater the impact on the component; the temperature difference in temperature data between the spray drying chamber and the anti-blocking actuator assembly reflects the similarity of temperature changes between the spray drying chamber and the anti-blocking actuator assembly. The smaller the difference, the more consistent the temperature performance between the spray drying chamber and the anti-blocking actuator assembly, and the greater the impact of temperature on the component; the greater the degree of vibration disorder, the greater the friction, the greater the heat, and the greater the impact of temperature on the component; therefore, the temperature difference is negatively correlated with the component influence coefficient, and the absolute value of the spray drying temperature change rate and the degree of component vibration disorder are positively correlated with the component influence coefficient.

[0055] In one embodiment of the present invention, the temperature difference is negatively correlated, and the product of the negative correlation result, the absolute value of the spray drying temperature change rate, and the degree of component vibration disorder is calculated and normalized as the influence coefficient of the temperature data on the component at the real time. Therefore, based on the above basic mathematical operations, a correlation between the temperature difference, the absolute value of the spray drying temperature change rate, the degree of component vibration disorder and the influence coefficient of the temperature data on the component is constructed, that is, the greater the temperature difference, the more inconsistent the temperature data between the spray drying room temperature and the anti-blocking actuator component, the greater the temperature change amplitude, and the greater the error in the vibration frequency and amplitude, the greater the influence of the temperature data on the component.

[0056] It should be noted that, in one embodiment of the present invention, negative correlation can be performed by taking the reciprocal, wherein, in order to avoid the denominator being 0 and the formula being meaningless, an artificially set threshold, such as 0.01, needs to be added; in other embodiments of the present invention, an exponential function with a natural constant as the base can also be used. The specific means are well known to those skilled in the art and will not be described in detail here.

[0057] Step S4: According to the real-time temperature data's influence coefficient on production and the temperature data's influence coefficient on components, the vibration data is corrected to obtain vibration correction data, and the anti-blocking actuation components are collaboratively controlled.

[0058] When the influence coefficient of temperature data on components is greater, in order to protect the equipment and avoid breakage or loosening of components during high-load operation at high temperatures, the vibration parameters should be reduced; when the influence coefficient on seasoning powder production is greater, in order to ensure product quality and production efficiency, the vibration parameters should be increased to speed up the sliding speed of materials on the inclined plate, reduce the accumulation time, and thus increase the output per unit time. Therefore, by analyzing the influence coefficient of temperature data on production and the influence coefficient of temperature data on components, the vibration amplitude and vibration frequency can be adjusted, which is conducive to the coordinated control of anti-blocking actuator components.

[0059] Preferably, in one embodiment of the present invention, the method for obtaining the vibration correction amplitude and the vibration correction frequency includes: Obtain the vibration adjustment coefficient based on the influence coefficient of temperature data on production and the influence coefficient of temperature data on components at each moment; Preferably, in one embodiment of the present invention, the method for obtaining the vibration adjustment coefficient includes: The degree of influence of temperature data on components is negatively correlated, and the product of the normalized result and the influence coefficient of temperature data on production is calculated and normalized as the vibration adjustment coefficient at each moment.

[0060] It should be noted that the vibration adjustment coefficient is normalized to a numerical range of (-1, 1). The larger the positive value of the vibration adjustment coefficient is, the more the vibration parameter needs to be adjusted higher. Conversely, the more the vibration parameter needs to be adjusted lower.

[0061] Vibration correction data is obtained based on the real-time vibration adjustment coefficient and vibration data. The vibration adjustment coefficient and the vibration data are positively correlated with the vibration correction data. The vibration correction data includes a vibration correction amplitude corresponding to the vibration amplitude and a vibration correction frequency corresponding to the vibration frequency.

[0062] In one embodiment of the present invention, for the vibration amplitude or vibration frequency, the sum of the positive integer 1 and the vibration adjustment coefficient is obtained as the adjustment weight; the product of the adjustment weight and the vibration data at the real time is obtained as the vibration adjustment data at the real time, and the vibration correction data includes the vibration correction amplitude corresponding to the vibration amplitude, and the vibration correction frequency corresponding to the vibration frequency; therefore, based on the above-mentioned basic mathematical operations, a correlation between the vibration adjustment coefficient, the vibration data and the vibration correction data is constructed. The larger the vibration adjustment coefficient, the more it is necessary to adjust the vibration data, and the larger the vibration data, the larger the vibration correction data.

[0063] Based on this, after obtaining the vibration correction data of the anti-blocking actuator component under the real-time temperature data, the anti-blocking actuator component is coordinated and controlled to avoid problems such as changes in elastic coefficient and fatigue damage caused by high temperature, reduce equipment failure rate, improve the stability of the anti-blocking actuator component, and ensure product quality.

[0064] In summary, the present invention obtains the theoretical production efficiency and theoretical efficiency error coefficient at each moment during the real-time operation of the spray drying equipment; obtains the actual production efficiency at each moment by combining the weight data distribution of the filter screen, inclined plate and drive discharge assembly at different moments within the neighborhood range; adjusts the heating power data, and obtains the influence coefficient of the temperature data on production at the real time moment according to the temperature and humidity data of the spray drying chamber and the anti-blocking actuator assembly at the real time moment after the heating power is adjusted, as well as the degree of vibration disorder of the assembly; combines the influence coefficient of the temperature data on the assembly at the real time moment; obtains vibration correction data, and performs collaborative control on the anti-blocking actuator assembly. The present invention ensures the accuracy of collaborative control and improves the drying effect by accurately obtaining the vibration data of the anti-blocking actuator assembly during operation.

[0065] The present invention provides a seasoning powder spray drying system, comprising a processor and a memory, wherein the processor is used to process instructions stored in the memory to implement any one of the steps of the above-mentioned seasoning powder spray drying device.

[0066] It should be noted that the order in which the embodiments of the present invention are described above is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0067] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

Claims

1. A spray drying device for seasoning powder, characterized in that: A temperature sensor and a humidity sensor are installed in the spray drying chamber of the spray drying equipment, a temperature sensor is installed in the anti-blocking actuating assembly, a vibration sensor is installed on the bidirectional extrusion block of the anti-blocking actuating assembly in the spray drying equipment, a weight sensor is installed on the filter screen, the inclined plate, the storage chamber and the drive and discharge assembly of the spray drying equipment, and a power sensor is installed on the electric heating network of the spray drying equipment. The temperature sensor is used to obtain temperature data, the humidity sensor is used to obtain humidity data, the vibration sensor is used to obtain vibration data, including vibration frequency and vibration amplitude, the weight sensor is used to obtain weight data, and the power sensor is used to obtain heating power data, so as to achieve coordinated control of the anti-blocking actuating assembly in the spray drying equipment, wherein the coordinated control method includes: During real-time operation of the spray drying equipment, the theoretical production efficiency and theoretical efficiency error coefficient at each moment are obtained based on the changes in weight data between the storage chamber and the drive and discharge components at different moments. The actual production efficiency at each moment is obtained based on the theoretical efficiency error coefficient at each moment and the weight data distribution of the filter screen, inclined plate, and drive and discharge components at different moments within the neighborhood. The real-time heating adjustment power is obtained based on the efficiency difference between the theoretical production efficiency and the actual production efficiency and the heating power data at the real time. The influence coefficient of the real-time temperature data on production is obtained based on the real-time temperature and humidity data of the spray drying chamber after the heating power is adjusted, as well as the weight data of the driving discharge component. Based on the real-time vibration data distribution of the anti-blocking actuator component, the real-time vibration disorder degree of the component is obtained; based on the changes in temperature data between the spray drying chamber and the anti-blocking actuator component at different times, as well as the vibration disorder degree of the component, the influence coefficient of the real-time temperature data on the component is obtained; According to the influence coefficient of temperature data on production and the influence coefficient of temperature data on components at real time, the vibration data is corrected to obtain vibration correction data, and the anti-blocking actuator components are coordinated and controlled.

2. The seasoning powder spray drying device according to claim 1, characterized in that: The method for obtaining the theoretical production efficiency and the theoretical efficiency error coefficient includes: For the storage room, the difference in weight data between each moment and the previous moment is obtained as the storage change; Obtain the average value of the ratio of the change in stock volume at different times within the neighborhood of each moment to the weight data of the driving discharge component as the average conversion ratio; obtain the product of the average conversion ratio and the cumulative sum of the change in stock volume at all times within the neighborhood, and calculate the ratio of the product result to the quantity at all times as the theoretical production efficiency; Obtain the ratio of the weight data of the driving discharge component at each moment and the difference between the moments as the equipment production efficiency at each moment; The difference between the equipment production efficiency and the theoretical production efficiency at each moment is normalized and used as the theoretical efficiency error coefficient at each moment.

3. The seasoning powder spray drying device according to claim 1, characterized in that: The method for obtaining the actual production efficiency includes: If the theoretical efficiency error coefficient at each moment is greater than the preset error threshold, for the inclined plate or filter screen, the difference in weight data between each moment and the previous moment is obtained as the weight change; Obtain the average value of the sum of the weight changes of the inclined plate and the weight changes of the filter residue at all times as the average weight data in the spray drying chamber; obtain the average weight data of the driving discharge component at all times as the average output weight; The difference between the average weight data in the spray drying chamber and the average output weight is obtained as the average stockpile volume; the ratio of the sum of the average stockpile volume and the weight data of the driving discharge component at each moment to the difference between adjacent moments is obtained as the actual production efficiency at each moment; On the contrary, the actual production efficiency at each moment is the equipment production efficiency.

4. The seasoning powder spray drying device according to claim 1, characterized in that: The efficiency difference and heating power data are both positively correlated with the heating regulation power.

5. The seasoning powder spray drying device according to claim 2, characterized in that: The method for obtaining the influence coefficient of the temperature data on production includes: The real-time weight data of the driving discharging component after heating and adjusting the power is used to obtain the real-time equipment production efficiency; For temperature data or equipment production efficiency as the data to be processed, the difference between the data to be processed at the real time and the previous time is obtained, and the ratio of the difference result and the difference between the times is calculated as the change rate of the data to be processed at the real time; According to the absolute value of the temperature change rate, the production efficiency change rate and the humidity data, the influence coefficient of the temperature data on the production at the real time is obtained. The absolute value of the temperature change rate is positively correlated with the influence coefficient of the temperature data on the production, and the production efficiency change rate and the humidity data are negatively correlated with the influence coefficient of the temperature data on the production.

6. The seasoning powder spray drying device according to claim 1, characterized in that: The method for obtaining the vibration disorder degree of the component includes: The degree of component vibration disorder at real time is obtained based on the frequency difference between the component vibration frequency at real time and the preset component vibration frequency, as well as the amplitude difference between the component vibration amplitude at real time and the preset component vibration amplitude. Both the frequency difference and the amplitude difference are positively correlated with the degree of component vibration disorder.

7. The seasoning powder spray drying device according to claim 1, characterized in that: The method for obtaining the influence coefficient of the temperature data on the component includes: Obtain the difference between the temperature data of the anti-blocking actuator component at the real time and the previous time and the difference between the corresponding times as the component drying temperature change rate at the real time; Based on the temperature difference in temperature data between the spray drying chamber and the anti-blocking actuator component at real time, the absolute value of the component drying temperature change rate and the degree of component vibration disorder, the influence coefficient of the real-time temperature data on the component is obtained. The temperature difference is negatively correlated with the component influence coefficient, and the absolute value of the spray drying temperature change rate and the degree of component vibration disorder are positively correlated with the component influence coefficient.

8. The seasoning powder spray drying device according to claim 1, characterized in that: The method for obtaining vibration correction data includes: Obtain the vibration adjustment coefficient based on the influence coefficient of temperature data on production and the influence coefficient of temperature data on components at each moment; Vibration correction data is obtained based on the vibration adjustment coefficient and vibration data at a real time, wherein the vibration adjustment coefficient and the vibration data are positively correlated with the vibration correction data, and the vibration correction data includes a vibration correction amplitude corresponding to the vibration amplitude and a vibration correction frequency corresponding to the vibration frequency.

9. The seasoning powder spray drying device according to claim 8, characterized in that: The method for obtaining the vibration adjustment coefficient includes: The degree of influence of temperature data on components is negatively correlated, and the product of the normalized result and the influence coefficient of temperature data on production is calculated and normalized as the vibration adjustment coefficient at each moment.

10. A seasoning powder spray drying system, characterized in that: The device comprises a processor and a memory, wherein the processor is used to process instructions stored in the memory to implement the steps of the seasoning powder spray drying device according to any one of claims 1 to 9.

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