CN109708459B - Intelligent drying control method, system and device - Google Patents
Intelligent drying control method, system and device Download PDFInfo
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- CN109708459B CN109708459B CN201910089916.1A CN201910089916A CN109708459B CN 109708459 B CN109708459 B CN 109708459B CN 201910089916 A CN201910089916 A CN 201910089916A CN 109708459 B CN109708459 B CN 109708459B
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Abstract
The embodiment of the invention discloses an intelligent drying control method, a system and a device, wherein the method comprises the following steps: the method comprises the steps of obtaining a material type, and obtaining drying parameters corresponding to the material type according to the material type, wherein the drying parameters comprise drying temperature, drying humidity and drying time corresponding to different drying stages; acquiring current indoor temperature and current indoor humidity, comparing the current indoor temperature with drying temperature to obtain a temperature comparison result, and comparing the current indoor humidity with the drying humidity to obtain a humidity comparison result; and controlling the dryer to work according to the temperature comparison result, the humidity comparison result and the drying time. By using the embodiment of the invention, the material drying process can be simply and intelligently controlled, the material drying quality is improved, managers are helped to easily control the drying process, and a large amount of manpower is saved. The embodiment of the invention provides an intelligent drying control method, system and device, which can be widely applied to the field of material drying.
Description
Technical Field
The invention relates to the field of material drying, in particular to an intelligent drying control method, system and device.
Background
The food, the medicinal materials and the like are dried by heating drying methods such as baking, roasting, baking and the like in China for a long time. The early hot air drying method, which appeared in 1875, was suitable for mass production, and was the earliest to stack the flaky vegetables indoors and dry them with hot air at about 40 ℃. Dehydration and drying of food require that the moisture content of the food be reduced to the shelf-stable moisture limit, while maintaining the nutritional ingredients in the food in such a way that the food is not destroyed, does not undergo undesirable changes, does not produce toxic or harmful chemical components during the manufacturing process to ensure the quality of the food.
The conventional drying method is to manually control the drying equipment to control the drying temperature and humidity to control the material drying process, so that operators are required to have rich drying experience, the drying process is difficult to accurately control, and the quality of produced dry materials is difficult to control, so that the defects of low intelligence, high control difficulty and low production quality exist in the prior art.
Disclosure of Invention
In order to solve the above technical problems, an object of the present invention is to provide an intelligent drying control method, system and device.
In a first aspect, an embodiment of the present invention provides an intelligent drying control method, including the following steps:
the method comprises the steps of obtaining a material type, and obtaining drying parameters corresponding to the material type according to the material type, wherein the drying parameters comprise drying temperature, drying humidity and drying time corresponding to different drying stages;
acquiring current indoor temperature and current indoor humidity, comparing the current indoor temperature with drying temperature to obtain a temperature comparison result, and comparing the current indoor humidity with the drying humidity to obtain a humidity comparison result;
and controlling the dryer to work according to the temperature comparison result, the humidity comparison result and the drying time.
Further, the step of obtaining the drying parameter corresponding to the material type according to the material type specifically includes:
judging whether historical drying parameters corresponding to the material types exist or not according to the material types, and if so, taking the historical drying parameters corresponding to the material types as the drying parameters to be acquired; and otherwise, calculating the drying temperature corresponding to the material type according to the input drying time, and/or calculating to obtain the drying humidity corresponding to the material type according to the standard water content of the material or the current indoor humidity.
Further, the step of calculating the drying temperature specifically comprises:
acquiring the current outdoor temperature;
determining a first function according to the air density, the volume of a drying room, the air specific heat capacity, the current indoor temperature, the material weight, the material specific heat capacity, the heat conduction efficiency, the current water content of the material, the rated heating capacity of the dryer and the total drying time, wherein the first function is a function of the maximum drying temperature on a heating capacity correction coefficient and a latent heat of vaporization coefficient;
according to the current outdoor temperature, obtaining a plurality of highest drying temperatures corresponding to the current outdoor temperature and heating capacity correction coefficients corresponding to the highest drying temperatures from a drying machine heating capacity correction coefficient graph;
acquiring a plurality of latent heat of vaporization coefficients corresponding to the highest drying temperature from a latent heat of vaporization coefficient table according to the determined plurality of highest drying temperatures;
determining a required highest drying temperature from a plurality of highest drying temperatures by using the obtained plurality of heating capacity correction coefficients, the obtained plurality of latent heat of vaporization coefficients and the first function;
and determining the drying temperature corresponding to different drying stages according to the determined highest drying temperature.
Further, the drying phase comprises: softening stage, water seepage vaporization stage, dehumidification stage and drying and shaping stage.
Further, the step of determining the drying temperatures corresponding to different drying stages according to the determined highest drying temperature includes:
obtaining the drying temperature in the drying and shaping stage according to the determined highest drying temperature;
according to the drying temperature of the drying and shaping stage, calculating to obtain the drying temperature of the water seepage vaporization stage and the drying temperature of the dehumidification stage;
and calculating to obtain the drying temperature of the softening stage according to the drying temperature of the water seepage vaporization stage.
Further, the step of calculating and obtaining the drying humidity corresponding to the material type according to the standard moisture content of the material or the current indoor humidity specifically comprises:
when the dehumidification stage is carried out, the current indoor humidity of the dehumidification stage is obtained, and the drying humidity of the dehumidification stage is obtained through calculation according to the current indoor humidity of the dehumidification stage;
or when the drying and shaping stage is carried out, calculating the drying humidity of the drying and shaping stage according to the standard moisture content of the material.
Further, still include:
and storing the input drying time corresponding to each drying stage and the drying temperature and/or the drying humidity obtained according to the calculation.
In a second aspect, an embodiment of the present invention provides an intelligent drying control system, including:
the parameter acquisition module is used for acquiring material types and acquiring drying parameters corresponding to the material types according to the material types, wherein the drying parameters comprise drying temperatures, drying humidity and drying time corresponding to different drying stages;
the comparison module is used for acquiring the current indoor temperature and the current indoor humidity, comparing the current indoor temperature with the drying temperature to obtain a temperature comparison result, and comparing the current indoor humidity with the drying humidity to obtain a humidity comparison result;
and the drying control module is used for controlling the dryer to work according to the temperature comparison result, the humidity comparison result and the drying time.
In a third aspect, an embodiment of the present invention provides an intelligent drying control device, including:
at least one processor;
at least one memory for storing at least one program;
when the at least one program is executed by the at least one processor, the at least one processor is caused to implement the intelligent drying control method.
In a fourth aspect, an embodiment of the present invention provides an intelligent drying control system, including a dryer, a main controller, a humidity sensor, and a temperature sensor, where the main controller is connected to the dryer, the humidity sensor, and the temperature sensor respectively;
the temperature sensor is used for acquiring the current indoor temperature;
the humidity sensor is used for acquiring the current indoor humidity;
the main controller includes:
at least one processor;
at least one memory for storing at least one program;
when the at least one program is executed by the at least one processor, the at least one processor is caused to implement the intelligent drying control method.
The embodiment of the invention has the beneficial effects that: according to the embodiment of the invention, corresponding drying parameters are obtained according to the material types, the required drying temperature, drying humidity and drying time are obtained according to the drying parameters, and finally the dryer is controlled to work according to the drying temperature, drying humidity and drying time; the drying parameters can be intelligently acquired, the dryer can be intelligently controlled to work, labor is saved, the drying quality of the materials can be ensured by reasonable drying parameters, and the drying quality can be well controlled in the intelligent drying process, so that the embodiment of the invention has the advantages of high intelligence, easy control and high production quality.
Drawings
Fig. 1 is a flowchart illustrating steps of a first embodiment of an intelligent drying control method according to an embodiment of the present invention;
fig. 2 is an exemplary diagram of a heating capacity correction coefficient map of a dryer in an intelligent drying control method according to an embodiment of the present invention;
fig. 3 is an exemplary diagram of a latent heat of vaporization coefficient table of an intelligent drying control method according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a first embodiment of an intelligent drying control system according to an embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the figures and the specific embodiments. The step numbers in the following embodiments are provided only for convenience of illustration, the order between the steps is not limited at all, and the execution order of each step in the embodiments can be adapted according to the understanding of those skilled in the art.
As shown in fig. 1, an embodiment of the present invention provides an intelligent drying control method, including the following steps:
s101, obtaining a material type, and obtaining drying parameters corresponding to the material type according to the material type, wherein the drying parameters comprise drying temperature, drying humidity and drying time corresponding to different drying stages;
specifically, the material type is a material type, the material type is different, parameters required to be dried are also different, the drying temperature is a temperature to which the indoor temperature is heated by the dryer, the drying humidity is a humidity to which the indoor humidity is regulated by the dryer, and the drying time is a time for the dryer to work at different stages.
S102, acquiring current indoor temperature and current indoor humidity, comparing the current indoor temperature with drying temperature to obtain a temperature comparison result, and comparing the current indoor humidity with the drying humidity to obtain a humidity comparison result;
specifically, the current indoor temperature and the current indoor humidity are respectively obtained through a temperature sensor and a humidity sensor, numerical value comparison is carried out according to the drying temperature and the drying humidity in the drying parameters, and the dryer control is carried out according to comparison difference.
S103, controlling the dryer to work according to the temperature comparison result, the humidity comparison result and the drying time;
specifically, the heating and dehumidifying work of the dryer is controlled according to the temperature contrast and the humidity contrast, and the work time is drying time.
As can be seen from the above, by using the method of the embodiment of the present invention, it is possible to achieve intelligent control of the dryer by acquiring the drying parameters, and to accurately control the drying in different stages according to the drying parameters, thereby enabling the drying process to have the advantages of high accuracy and high intelligence.
Further as a preferred embodiment of the method, the step S101 of obtaining the drying parameter corresponding to the material type according to the material type specifically includes:
s1021, judging whether historical drying parameters corresponding to the material types exist or not according to the material types, and if yes, taking the historical drying parameters corresponding to the material types as drying parameters to be acquired; otherwise, calculating the drying temperature corresponding to the material type according to the input drying time, and/or calculating the drying humidity corresponding to the material type according to the standard water content of the material or the current indoor humidity;
specifically, whether a historical drying record and a historical drying parameter exist in the type of the material to be dried is judged firstly, if so, the historical drying parameter is directly obtained to serve as the drying parameter, if not, the preset drying time is input through the drying experience of a manager, and the input drying time comprises: the total drying time and the drying time corresponding to each stage are calculated according to the preset total drying time to obtain the drying temperature of each stage and the drying humidity of partial stages (the softening stage and the water seepage vaporization stage do not need to control the humidity), so that the drying process can be easily controlled by proper historical drying parameters, the materials can be easily dried without the drying experience of managers, the drying parameters obtained by calculation have scientific basis and are more accurate, and the material drying quality is ensured.
Further, as a preferred embodiment of the method, the step of calculating the drying temperature in step S1021 specifically includes:
s10211, acquiring the current outdoor temperature;
specifically, the current outdoor temperature is an ambient temperature outside the drying room, and the current outdoor temperature is used for inquiring a drying machine heating capacity correction coefficient in a drying machine heating capacity correction coefficient map.
S10212, determining a first function according to air density, drying room volume, air specific heat capacity, current indoor temperature, material weight, material specific heat capacity, heat conduction efficiency, current material water content, rated heating capacity of a dryer and total drying time, wherein the first function is a function of the maximum drying temperature on a heating capacity correction coefficient and a vaporization latent heat coefficient;
specifically, the weight of the material is the weight of the material before the material starts to be driedThe drying machine comprises a drying room, an air density, a drying room volume, an air specific heat capacity, a material weight, a material specific heat capacity, a heat conduction efficiency, a current material water content, a rated heating capacity of the drying machine and total drying time, wherein the air density is a preset local air density, the current material water content is the water content before the drying of the material is started, the water content can be measured by a professional instrument, and the rated heating capacity and the total drying time of the drying machine are measured according to a formula: qa is Q multiplied by k1 multiplied by t, the functional relation of the total drying heat quantity and the correction coefficient of the heating capacity can be obtained, and the air density, the drying room volume and the air specific heat capacity are calculated according to the formula: q1 is rho × V × C1 × Δ T, a functional relationship between heat required by air heating in the drying room and a heating temperature difference can be obtained, a functional relationship between heat required by fresh and wet materials in the drying room from an ambient temperature to a drying temperature and a heating temperature difference can be obtained by using the material weight and the material specific heat capacity according to a formula Q2 is G × C2 × Δ T, and the material weight, the current water content of the materials and the heat conduction efficiency are according to the formula: q3 is G multiplied by theta multiplied by beta multiplied by k2, the functional relation between the vaporization latent heat of the material moisture and the vaporization latent heat coefficient can be obtained, and the functional relation between the heating temperature difference and the highest drying temperature can be obtained by taking the current indoor temperature as a formula delta T as H-T; from the above-mentioned functional relationship, the formula Qa-Q1 + Q2+ Q3 can be derived:
according to the formula, the air density, the volume of the drying room, the air specific heat capacity, the current indoor temperature, the material weight, the material specific heat capacity, the heat conduction efficiency, the current water content of the material, the rated heating capacity of the dryer and the total drying time
The function of H with respect to k1 and β can be determined, the meaning of the parameters in the above formula being: qa is total drying heat, Q is rated heating capacity of the dryer, k1 is heating capacity correction coefficient, T is total drying time, Q1 is heat required by air heating of the drying room, rho is air density, V is volume of the drying room, C1 is air specific heat capacity, delta T is heating temperature difference, and Q2 is adding fresh and wet materials in the drying room from ambient temperatureThe heat required by the drying temperature, G is the weight of the material, C2 is the specific heat capacity of the material, Q3 is the latent heat of vaporization of the moisture of the material, theta is the current moisture content of the material, beta is the latent heat of vaporization coefficient, k2 is the heat conduction efficiency, H is the highest drying temperature, and T is the current indoor temperature.
S10213, according to the current outdoor temperature, obtaining a plurality of highest drying temperatures corresponding to the current outdoor temperature and heating capacity correction coefficients corresponding to the highest drying temperatures from a drying machine heating capacity correction coefficient diagram;
specifically, as shown in fig. 2, a plurality of maximum drying temperatures and heating capacity correction coefficients corresponding to the maximum drying temperatures may be obtained from a drying machine heating capacity correction coefficient map according to the current outdoor temperature (the map is for reference, and actual values are different), for example: the current outdoor temperature is 10 ℃, and a group of 9 highest drying temperatures (unit: DEG C) can be obtained by searching a drying machine heating capacity correction coefficient diagram: 35. 40, 45, 50, 55, 60, 65, 70 and 75, and then obtaining a group of heating capacity correction coefficients corresponding to the highest drying temperature: 0.68, 0.73, 0.80, 0.86, 0.91, 0.95, 1.05, 1.14, 1.23.
S10214, obtaining a plurality of latent heat of vaporization coefficients corresponding to the highest drying temperature from a latent heat of vaporization coefficient table according to the determined plurality of highest drying temperatures;
specifically, as shown in fig. 3, several corresponding vaporization latent heat coefficients can be obtained by referring to the vaporization latent heat coefficient table according to several highest drying temperatures obtained in the previous step S10213, for example, a set of highest drying temperatures (unit:): 35. 40, 45, 50, 55, 60, 65, 70, 75, and obtaining a group of latent heat of vaporization coefficients corresponding to the highest drying temperature by using the highest drying temperature according to a latent heat of vaporization coefficient table (approximate value here): 2416. 2403, 2392, 2380, 2369, 2357, 2345, 2336, 2318.
S10215, determining a required maximum drying temperature from a plurality of maximum drying temperatures by using the obtained plurality of heating capacity correction coefficients, the plurality of latent heat of vaporization coefficients and the first function;
specifically, a plurality of maximum drying temperatures, heating capacity correction coefficients, and latent heat of vaporization coefficients are input to the function in step S10212 one by one according to the corresponding relationship, and the most suitable maximum drying temperature can be obtained according to the closest set of values.
S10216, determining the drying temperature corresponding to different drying stages according to the determined highest drying temperature.
Therefore, through the steps, the drying temperature of the material can be calculated scientifically and reasonably, and the drying quality of the material can be guaranteed.
Further as a preferred embodiment of the method, the drying phase comprises: softening, water seepage vaporization, dehumidification and drying and shaping;
specifically, drying has four drying stages: softening stage, infiltration vaporization stage, dehumidification stage and drying design stage, but the stoving type is different, and the stage in the drying process is different, and if the material thickness is thicker, the peripheral layer is more dry, and the inlayer is heated slowly, needs to be heated for a longer time, infiltration vaporization and hydrofuge or dehumidification, so the evaporation and the hydrofuge dehumidification stage of infiltration then need heat repeatedly, and it is thus obvious that the quality of material stoving can more accurate control to correspond different stoving parameters in different stages.
Further, as a preferred embodiment of the method, the step S10216 of determining the drying temperatures corresponding to different drying stages according to the determined highest drying temperature includes:
s102161, obtaining the drying temperature in the drying and shaping stage according to the determined highest drying temperature;
specifically, the drying and shaping stage is the last stage in the drying process, and therefore the drying temperature at this time is the highest drying temperature.
S102162, calculating to obtain the drying temperature of the water seepage vaporization stage and the drying temperature of the dehumidification stage according to the drying temperature of the drying and shaping stage;
specifically, according to the temperature rise Δ T of the fourth stage drying and shaping stage, which is the temperature rise Δ T of the second stage water seepage vaporization stage, which is 3-5 ℃, the drying temperature of the drying and shaping stage is subtracted by 3-5 ℃ to obtain the drying temperature of the dehumidification stage (a specific value may be selected according to actual conditions), and the temperature of the dehumidification stage of the third stage is consistent with that of the second stage.
S102163, calculating to obtain the drying temperature of the softening stage according to the drying temperature of the water seepage vaporization stage;
specifically, the drying temperature of the softening stage can be obtained by subtracting 2-4 ℃ from the drying temperature of the water seepage vaporization stage according to the temperature of the water seepage vaporization stage in the second stage, namely the temperature rise delta T of the softening stage in the first stage, and the delta T is 2-4 ℃. The drying temperatures of the materials at different stages can be finely adjusted according to actual conditions, only one adjustment range is provided in the embodiment, different drying temperatures can be obtained by simply calculating the highest drying temperature, and the calculation mode is adjusted according to more actual conditions, so that the method has practical significance.
Further, as a preferred embodiment of the method, the step S1021 of calculating and obtaining the drying humidity corresponding to the material type according to the standard moisture content of the material or the current indoor humidity specifically includes:
s10211, when a dehumidification stage is performed, acquiring the current indoor humidity of the dehumidification stage, and calculating to acquire the drying humidity of the dehumidification stage according to the current indoor humidity of the dehumidification stage;
specifically, do not need to carry out the dehumidification operation in softening stage and infiltration vaporization stage, and when the dehumidification stage, according to humidity in the room of drying actual humidity- (2-5%), thereby acquire current indoor humidity through humidity transducer earlier, then subtract 2% -5% (according to actual conditions adjustment) with current indoor humidity, can obtain the stoving humidity of dehumidification stage.
S10212, calculating to obtain the drying humidity of the drying and shaping stage according to the standard moisture content of the material during the drying and shaping stage;
specifically, when carrying out the drying and sizing stage, according to humidity final moisture content 2% of material, with the standard moisture content of material, add or subtract 2% as the drying humidity (can specifically decide according to actual conditions) of drying and sizing stage, the standard moisture content of material is the moisture content after drying the material, accords with the managers expectation, and it is visible to calculate drying humidity through actual conditions, more practical meaning.
Further as a preferred embodiment of the method, the method further comprises:
s104, storing the input drying time corresponding to each drying stage and the drying temperature and/or the drying humidity obtained according to calculation;
specifically, the parameters of the drying are stored to be used as reference values of materials of the same material type at the next time, the parameters can be adjusted according to the result after the materials are dried, and the parameters are stored to be used as the reference values of the drying at the next time.
As shown in fig. 4, an intelligent drying control system includes:
firstly, a parameter acquisition module is used for acquiring material types and acquiring drying parameters corresponding to the material types according to the material types, wherein the drying parameters comprise drying temperatures, drying humidity and drying time corresponding to different drying stages;
specifically, the parameter acquisition module is mainly used for controlling each sensor to acquire environmental information and searching stored historical drying data according to material types.
The comparison module is used for obtaining the current indoor temperature and the current indoor humidity, obtaining a temperature comparison result after comparing the current indoor temperature with the drying temperature, and obtaining a humidity comparison result after comparing the current indoor humidity with the drying humidity;
specifically, the comparison module is mainly used for temperature comparison and humidity comparison, so that a comparison result is obtained.
The drying control module is used for controlling the dryer to work according to the temperature comparison result, the humidity comparison result and the drying time;
specifically, the drying control module is mainly used for controlling the dryer according to the drying parameters, so that the drying process can be performed according to the drying parameters.
And the data storage module is used for storing the input drying time corresponding to each drying stage and the drying temperature and/or the drying humidity obtained according to the calculation.
Based on the above intelligent drying control method, an embodiment of the present invention further provides an intelligent drying control device, including:
at least one processor;
at least one memory for storing at least one program;
when the at least one program is executed by the at least one processor, the at least one processor is enabled to implement any one of the intelligent drying control methods.
In addition, the embodiment of the invention also provides an intelligent drying control system, which comprises a dryer, a main controller, a humidity sensor and a temperature sensor, wherein the main controller is respectively connected with the dryer, the humidity sensor and the temperature sensor;
the temperature sensor is used for acquiring the current indoor temperature;
the humidity sensor is used for acquiring the current indoor humidity;
the main controller includes:
at least one processor;
at least one memory for storing at least one program;
when the at least one program is executed by the at least one processor, the at least one processor is caused to implement the intelligent drying control method.
The contents in the above method embodiments are all applicable to the present apparatus embodiment, the functions specifically implemented by the present apparatus embodiment are the same as those in the above method embodiments, and the advantageous effects achieved by the present apparatus embodiment are also the same as those achieved by the above method embodiments.
While the preferred embodiments of the present invention have been illustrated and described, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (8)
1. An intelligent drying control method is characterized in that: the method comprises the following steps:
the method comprises the steps of obtaining a material type, and obtaining drying parameters corresponding to the material type according to the material type, wherein the drying parameters comprise drying temperature, drying humidity and drying time corresponding to different drying stages;
acquiring current indoor temperature and current indoor humidity, comparing the current indoor temperature with drying temperature to obtain a temperature comparison result, and comparing the current indoor humidity with the drying humidity to obtain a humidity comparison result;
controlling the dryer to work according to the temperature comparison result, the humidity comparison result and the drying time;
the step of obtaining the drying parameters corresponding to the material types according to the material types specifically comprises the following steps:
judging whether historical drying parameters corresponding to the material types exist or not according to the material types, and if so, taking the historical drying parameters corresponding to the material types as the drying parameters to be acquired; otherwise, calculating the drying temperature corresponding to the material type according to the input drying time, and/or calculating the drying humidity corresponding to the material type according to the standard water content of the material or the current indoor humidity;
the drying temperature calculation step specifically comprises:
acquiring the current outdoor temperature;
determining a first function according to the air density, the volume of a drying room, the air specific heat capacity, the current indoor temperature, the material weight, the material specific heat capacity, the heat conduction efficiency, the current water content of the material, the rated heating capacity of the dryer and the total drying time, wherein the first function is a function of the maximum drying temperature on a heating capacity correction coefficient and a latent heat of vaporization coefficient;
according to the current outdoor temperature, obtaining a plurality of highest drying temperatures corresponding to the current outdoor temperature and heating capacity correction coefficients corresponding to the highest drying temperatures from a drying machine heating capacity correction coefficient graph;
acquiring a plurality of latent heat of vaporization coefficients corresponding to the highest drying temperature from a latent heat of vaporization coefficient table according to the determined plurality of highest drying temperatures;
determining a required highest drying temperature from a plurality of highest drying temperatures by using the obtained plurality of heating capacity correction coefficients, the obtained plurality of latent heat of vaporization coefficients and the first function;
determining the drying temperatures corresponding to different drying stages according to the determined highest required drying temperature;
the first function is:
h is the highest drying temperature, Q is the rated heating capacity of the dryer, k1 is a heating capacity correction coefficient, T is the total drying time, rho is the air density, V is the drying room volume, C1 is the air specific heat capacity, G is the material weight, C2 is the material specific heat capacity, theta is the current water content of the material, beta is the latent heat of vaporization coefficient, k2 is the heat conduction efficiency, and T is the current indoor temperature.
2. The intelligent drying control method according to claim 1, characterized in that: the drying stage comprises: softening stage, water seepage vaporization stage, dehumidification stage and drying and shaping stage.
3. The intelligent drying control method according to claim 2, characterized in that: the step of determining the drying temperatures corresponding to different drying stages according to the determined highest required drying temperature specifically includes:
obtaining the drying temperature in the drying and shaping stage according to the determined highest drying temperature;
according to the drying temperature of the drying and shaping stage, calculating to obtain the drying temperature of the water seepage vaporization stage and the drying temperature of the dehumidification stage;
and calculating to obtain the drying temperature of the softening stage according to the drying temperature of the water seepage vaporization stage.
4. The intelligent drying control method according to claim 3, characterized in that: according to standard moisture content of the materials or current indoor humidity, calculating and obtaining drying humidity corresponding to the types of the materials, wherein the method specifically comprises the following steps:
when carrying out the dehumidification stage, acquire the current indoor humidity in dehumidification stage, according to the current indoor humidity in dehumidification stage, calculate the stoving humidity that obtains the dehumidification stage, the computational formula is: the drying humidity is the current indoor humidity-a first preset difference value, and the first preset difference value is set according to the actual condition;
or when the drying and shaping stage is carried out, the drying humidity of the drying and shaping stage is obtained through calculation according to the standard moisture content of the material, and the calculation formula is as follows: and the drying humidity is equal to the standard moisture content of the material +/-a second preset difference value, and the second preset difference value is set according to the actual condition.
5. The intelligent drying control method according to claim 4, characterized in that: further comprising:
and storing the input drying time corresponding to each drying stage and the drying temperature and/or the drying humidity obtained according to the calculation.
6. The utility model provides an intelligence stoving control system which characterized in that: the method comprises the following steps:
the parameter acquisition module is used for acquiring material types and acquiring drying parameters corresponding to the material types according to the material types, wherein the drying parameters comprise drying temperatures, drying humidity and drying time corresponding to different drying stages;
the comparison module is used for acquiring the current indoor temperature and the current indoor humidity, comparing the current indoor temperature with the drying temperature to obtain a temperature comparison result, and comparing the current indoor humidity with the drying humidity to obtain a humidity comparison result;
the drying control module is used for controlling the dryer to work according to the temperature comparison result, the humidity comparison result and the drying time;
the parameter acquisition module comprises an acquisition unit, the acquisition unit is used for judging whether historical drying parameters corresponding to the material types exist or not according to the material types, and if yes, the historical drying parameters corresponding to the material types are used as the drying parameters to be acquired; otherwise, calculating the drying temperature corresponding to the material type according to the input drying time, and/or calculating the drying humidity corresponding to the material type according to the standard water content of the material or the current indoor humidity;
the drying temperature calculation step specifically comprises:
acquiring the current outdoor temperature;
determining a first function according to the air density, the volume of a drying room, the air specific heat capacity, the current indoor temperature, the material weight, the material specific heat capacity, the heat conduction efficiency, the current water content of the material, the rated heating capacity of the dryer and the total drying time, wherein the first function is a function of the maximum drying temperature on a heating capacity correction coefficient and a latent heat of vaporization coefficient;
according to the current outdoor temperature, obtaining a plurality of highest drying temperatures corresponding to the current outdoor temperature and heating capacity correction coefficients corresponding to the highest drying temperatures from a drying machine heating capacity correction coefficient graph;
acquiring a plurality of latent heat of vaporization coefficients corresponding to the highest drying temperature from a latent heat of vaporization coefficient table according to the determined plurality of highest drying temperatures;
determining a required highest drying temperature from a plurality of highest drying temperatures by using the obtained plurality of heating capacity correction coefficients, the obtained plurality of latent heat of vaporization coefficients and the first function;
determining the drying temperatures corresponding to different drying stages according to the determined highest required drying temperature;
the first isThe function is:
h is the highest drying temperature, Q is the rated heating capacity of the dryer, k1 is a heating capacity correction coefficient, T is the total drying time, rho is the air density, V is the drying room volume, C1 is the air specific heat capacity, G is the material weight, C2 is the material specific heat capacity, theta is the current water content of the material, beta is the latent heat of vaporization coefficient, k2 is the heat conduction efficiency, and T is the current indoor temperature.
7. The utility model provides an intelligence stoving controlling means which characterized in that: the method comprises the following steps:
at least one processor;
at least one memory for storing at least one program;
when the at least one program is executed by the at least one processor, the at least one processor may implement the intelligent drying control method according to any one of claims 1 to 5.
8. The utility model provides an intelligence stoving control system which characterized in that: the drying machine comprises a drying machine, a main controller, a humidity sensor and a temperature sensor, wherein the main controller is respectively connected with the drying machine, the humidity sensor and the temperature sensor;
the temperature sensor is used for acquiring the current indoor temperature;
the humidity sensor is used for acquiring the current indoor humidity;
the main controller includes:
at least one processor;
at least one memory for storing at least one program;
when the at least one program is executed by the at least one processor, the at least one processor may implement the intelligent drying control method according to any one of claims 1 to 5.
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| CN201910089916.1A CN109708459B (en) | 2019-01-30 | 2019-01-30 | Intelligent drying control method, system and device |
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| CN201910089916.1A CN109708459B (en) | 2019-01-30 | 2019-01-30 | Intelligent drying control method, system and device |
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| CN112342763B (en) * | 2019-08-07 | 2024-02-13 | 青岛海尔洗衣机有限公司 | Control method of drying equipment and drying equipment |
| CN110448584B (en) * | 2019-09-10 | 2022-03-04 | 云南白药集团中药资源有限公司 | Production method of high-quality pseudo-ginseng decoction pieces |
| CN113832657B (en) * | 2020-06-24 | 2023-05-12 | 云米互联科技(广东)有限公司 | Drying control method, system, storage medium and clothes drying device |
| CN112460940A (en) * | 2020-11-27 | 2021-03-09 | 丹阳市慧天新能源有限公司 | Agricultural product heat pump drying system and control method |
| CN112611174B (en) * | 2020-11-30 | 2022-10-11 | 扬州大学 | Multi-energy complementary drying control system |
| CN112665325A (en) * | 2020-12-29 | 2021-04-16 | 广东清源中药饮片有限公司 | Automatic control system of heated air circulation oven |
| CN112815655A (en) * | 2021-01-04 | 2021-05-18 | 上海威士机械有限公司 | Control method of through type dryer |
| CN113045174B (en) * | 2021-03-12 | 2022-09-13 | 内蒙古新创环境科技有限公司 | Solar sludge drying system |
| CN113175794A (en) * | 2021-04-25 | 2021-07-27 | 福建工程学院 | Intelligent agricultural product drying control method based on BP neural network |
| CN113137853B (en) * | 2021-04-26 | 2022-10-21 | 四川蜀冷冷暖设备有限公司 | Intelligent control method suitable for dryer |
| CN113606891B (en) * | 2021-08-19 | 2022-07-12 | 安徽源光电器有限公司 | Drying system is used in capacitor fitting production |
| CN113714058B (en) * | 2021-09-07 | 2022-09-30 | 东风柳州汽车有限公司 | Intelligent temperature control drying method, device, equipment and storage medium |
| CN114322475A (en) * | 2022-02-10 | 2022-04-12 | 上海衡元高分子材料股份有限公司 | Drying apparatus |
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