Spray drying device for boron carbide production

Abstract

The invention discloses a spray drying device for boron carbide production, the spray drying device comprises a spray drying tower, a hot blast stove, a cyclone separator and a system controller, an atomizer and an online detection module are arranged in the spray drying tower, and the online detection module is used for monitoring temperature parameters in the spray drying process; comprising a first temperature sensor, a second temperature sensor and a temperature signal processing unit, the temperature signal processing unit adopts a multi-stage filtering and error compensation technology, noise and interference are effectively suppressed, and the accuracy of detection data is ensured. The air inlet temperature and the air outlet temperature are monitored in real time through the online detection module, the fuzzy-PID control algorithm is combined, the temperature control precision and the response speed are remarkably improved, and temperature fluctuation is reduced. The device dynamically adjusts the heating power of the hot blast stove according to real-time working conditions, the energy utilization efficiency is optimized, and the energy consumption is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of boron carbide production equipment, and particularly to a spray drying device for boron carbide production. Background Art

[0002] As a superhard material, the preparation process of boron carbide (B4C) powder is crucial for product performance. Spray drying technology is a core link in boron carbide production. Its principle is to disperse a suspension containing boron carbide precursors into tiny droplets through an atomizer, and after contacting with hot air, quickly evaporate the solvent to form dry powder. The stability of this process directly affects the particle size distribution, purity, and agglomeration degree of the powder, and thus determines the final performance of the product.

[0003] However, the existing spray drying devices have obvious deficiencies in temperature monitoring and control. First of all, the monitoring of temperature parameters usually relies on simple temperature sensors. These sensors can often only provide limited temperature data and are easily affected by environmental noise and electromagnetic interference, resulting in inaccurate data. This inaccuracy not only affects the precise control of the spray drying process but also may have a negative impact on product quality. The boron carbide drying process has characteristics of non-linearity, large lag, and strong coupling. The heat exchange efficiency between hot air and atomized droplets is affected by multiple factors such as material concentration, atomization effect, and air flow distribution in the tower. Conventional PID control is difficult to dynamically adapt to these changes, resulting in a large temperature fluctuation range, easily causing over-drying or incomplete drying phenomena, and resulting in uneven powder particle size or impurity residue. Summary of the Invention

[0004] In view of the above situation, to overcome the defects of the prior art, the purpose of the present invention is to provide a spray drying device for boron carbide production.

[0005] The technical solution it adopts is: a spray drying device for boron carbide production, including a spray drying tower, a hot blast stove, a cyclone separator, and a system controller. An atomizer and an on-line detection module are arranged in the spray drying tower. The on-line detection module is used to monitor the temperature parameters in the spray drying process, including:

[0006] A first temperature sensor, arranged at the air inlet of the spray drying tower, for real-time collecting the inlet air temperature T in ;

[0007] A second temperature sensor, arranged at the air outlet of the spray drying tower, for real-time collecting the outlet air temperature T out ;

[0008] A temperature signal processing unit, connected to the first temperature sensor and the second temperature sensor, for preprocessing the collected temperature signals and sending the preprocessed temperature data to the system controller;

[0009] The system controller is used to process the received temperature data, including the following steps:

[0010] Initialize system parameters;

[0011] Receive the inlet air temperature data and the outlet air temperature data, and perform moving average filtering on the data;

[0012] Calculate the inlet air temperature deviation and the outlet air temperature deviation to obtain a comprehensive deviation reflecting the impact on the drying process;

[0013] Adjust the heating power of the hot blast stove according to the comprehensive deviation.

[0014] Preferably, the temperature signal processing unit includes two signal conditioning components and an A / D converter. Among them, the input end of the signal conditioning component is connected to the signal output end of the first temperature sensor or the second temperature sensor, and the output end of the signal conditioning component is connected to the A / D converter;

[0015] The signal conditioning component includes:

[0016] A first noise suppression circuit, connected to the positive output terminal of the sensor, for suppressing high-frequency noise and electromagnetic interference in the positive output signal of the sensor;

[0017] A second noise suppression circuit, connected to the negative output terminal of the sensor, for suppressing high-frequency noise and electromagnetic interference in the negative output signal of the sensor;

[0018] A differential amplification circuit, for receiving the differential signal output by the first noise suppression circuit and the second noise suppression circuit, and amplifying the differential signal;

[0019] An error elimination circuit, for compensating for the error in the output signal of the differential amplification circuit to eliminate the measurement error caused by system disturbance.

[0020] Preferably, both the first noise suppression circuit and the second noise suppression circuit include:

[0021] A first filter, for preprocessing the high-frequency noise in the temperature signal to filter out high-frequency clutter components;

[0022] A second filter, for precisely filtering the signal processed by the first filter to filter out electromagnetic interference components.

[0023] Preferably, the first filter is an RC low-pass filter. The RC low-pass filter includes a first resistor and a first capacitor. The first ends of the first resistor and the first capacitor are connected to the sensor signal interface, and the second ends of the first resistor and the first capacitor are grounded.

[0024] Preferably, the second filter includes a first amplifier. The non-inverting input terminal of the first amplifier is connected to the first filter through a second resistor. A feedback network is provided between the inverting input terminal and the output terminal of the first amplifier for adjusting the gain and frequency response of the first amplifier.

[0025] Preferably, the feedback network includes a first inductor, a second capacitor, a third resistor, a fourth resistor, and a first diode. The first ends of the first inductor and the second capacitor are connected to the inverting input terminal of the first amplifier and grounded through the fourth resistor. The second end of the second capacitor is connected to the first end of the third resistor and the anode of the first diode. The second ends of the first inductor and the third resistor and the cathode of the first diode are connected to the output terminal of the first amplifier.

[0026] Preferably, the differential amplifier circuit includes a second amplifier. The non-inverting input terminal of the second amplifier is connected to the output terminal of the first noise suppression circuit through a fifth resistor. The inverting input terminal of the second amplifier is connected to the output terminal of the second noise suppression circuit through a sixth resistor. The output terminal of the second amplifier is connected to the first ends of a seventh resistor and a third capacitor. The second end of the third capacitor is connected to the inverting input terminal of the second amplifier through an eighth resistor. The second end of the seventh resistor is connected to the input terminal of the error cancellation circuit and to the A / D converter through a ninth resistor.

[0027] Preferably, the error cancellation circuit includes a variable resistor and a third amplifier. The first end and the adjustment end of the variable resistor are connected to the second end of the seventh resistor. The second end of the variable resistor is connected to the inverting input terminal of the third amplifier. A tenth resistor and a fourth capacitor in parallel are provided between the inverting input terminal and the output terminal of the third amplifier. The non-inverting input terminal of the third amplifier is connected to the non-inverting input terminal of the second amplifier and to the output terminal of the third amplifier through an eleventh resistor.

[0028] Preferably, the heating power of the hot blast stove is adjusted according to the comprehensive deviation, adopting a fuzzy-PID control algorithm. The specific steps are as follows:

[0029] Calculate the change rate of the comprehensive deviation, and use the comprehensive deviation and the change rate of the comprehensive deviation as the inputs of the fuzzy controller;

[0030] According to the preset fuzzy rule table, obtain the fuzzy output quantity from the fuzzified comprehensive deviation and the change rate of the comprehensive deviation;

[0031] Adopt the centroid method to defuzzify the fuzzy output quantity to obtain an accurate adjustment quantity;

[0032] Update the PID parameters according to the precise adjustment amount obtained by deblurring;

[0033] Calculate the control amount according to the updated PID parameters, convert the control amount into an adjustment signal for the heating power of the hot blast stove, and adjust the power of the hot blast stove.

[0034] Preferably, the calculation formula for calculating the control amount according to the updated PID parameters is:

[0035]

[0036] where n is the number of sampling points, Δt is the sampling time interval, and e t (n) is the current comprehensive deviation, and K p , K i , K d are the proportional, integral, and differential coefficients respectively, and c(n) is the current control amount.

[0037] Through the above technical solutions, the beneficial effects of the present invention are as follows:

[0038] 1. In this application, the online detection module monitors the inlet air temperature and outlet air temperature of the spray drying process in real time. Combining with the fuzzy-PID control algorithm, the device can dynamically adjust the heating power of the hot blast stove according to the temperature deviation and the deviation change rate, significantly improving the accuracy and response speed of temperature control. This precise temperature control reduces temperature fluctuations, thereby avoiding over-drying or incomplete drying phenomena, and ensuring the uniform particle size distribution and purity of the boron carbide powder;

[0039] 2. The temperature signal processing unit adopts multi-stage filtering and error compensation technologies, effectively suppressing high-frequency noise and electromagnetic interference, enabling the device to operate stably in a harsh production environment and providing reliable temperature monitoring data;

[0040] 3. Dynamically adjust the heating power of the hot blast stove according to the real-time working conditions, optimizing the energy utilization efficiency and reducing energy consumption. Description of the Drawings

[0041] Figure 1 It is a module structure diagram of a spray drying device for boron carbide production provided by an embodiment of the present invention.

[0042] Figure 2 It is a structural block diagram of a temperature signal processing unit provided by an embodiment of the present invention.

[0043] Figure 3 It is a circuit schematic diagram of a temperature signal processing unit provided by an embodiment of the present invention.

[0044] Figure 4 It is a flowchart of the system controller for processing temperature data provided by an embodiment of the present invention.

[0045] Figure 5 It is the fuzzy-PID control flow chart provided by an embodiment of the present invention. Specific embodiments

[0046] Regarding the foregoing and other technical contents, features and effects of the present invention, they will be clearly presented in the following detailed description of the embodiments in conjunction with the attached Figure 1 to the attached Figure 5 In the detailed description of the embodiments below, it will be clearly presented. The structural contents mentioned in the following embodiments are all referenced to the accompanying drawings of the specification.

[0047] The exemplary embodiments of the present invention will be described below with reference to the accompanying drawings.

[0048] As Figure 1 shown, a spray drying device for boron carbide production includes a spray drying tower, a hot blast stove, a cyclone separator and a system controller. Among them, the hot blast stove is connected to the air inlet of the spray drying tower through a hot air pipeline to ensure that hot air can be stably transported into the spray drying tower. The cyclone separator is installed at the air outlet of the spray drying tower and is used to separate the dried boron carbide powder and waste gas.

[0049] An atomizer and an on-line detection module are arranged inside the spray drying tower. The atomizer is installed at the top of the drying tower and atomizes the suspension containing boron carbide into tiny droplets, making it fully contact with the hot air for drying. The on-line detection module is used to monitor the temperature parameters during the spray drying process, including:

[0050] The first temperature sensor is arranged at the air inlet of the spray drying tower and is used to collect the inlet air temperature T in ;

[0051] The second temperature sensor is arranged at the air outlet of the spray drying tower and is used to collect the outlet air temperature T out .

[0052] In a specific embodiment, the armored thermocouple WRCK-591 is selected as the first temperature sensor and the second temperature sensor. This thermocouple has good high temperature resistance, anti-interference and corrosion resistance properties and is suitable for use in the harsh environment of the spray drying tower.

[0053] During the spray drying process of boron carbide production, the first temperature sensor and the second temperature sensor respectively collect the temperature signals at the air inlet and outlet of the spray drying tower in real time. However, due to the high-frequency noise, electromagnetic interference generated by equipment operation in the production environment, as well as the disturbance of the system itself, these signals will be severely affected, resulting in a decrease in measurement accuracy. The temperature signal processing unit is set up to process these interfered signals in order to obtain accurate and reliable temperature data. This unit is connected to the first temperature sensor and the second temperature sensor, and is used to preprocess the collected temperature signals and send the preprocessed temperature data to the system controller.

[0054] As Figure 2 shown, the temperature signal processing unit includes two signal conditioning components and an A / D converter. The two signal conditioning components are respectively connected to the first temperature sensor and the second temperature sensor to process the inlet air temperature and outlet air temperature signals collected respectively, and then uniformly transmit the processed signals to the A / D converter for analog-to-digital conversion. Specifically, the input end of the signal conditioning component is connected to the signal output end of the first temperature sensor or the second temperature sensor, and the output end of the signal conditioning component is connected to the A / D converter.

[0055] Among them, the signal conditioning component includes:

[0056] The first noise suppression circuit, which is connected to the positive output terminal of the sensor and is used to suppress the high-frequency noise and electromagnetic interference in the positive output signal of the sensor;

[0057] The second noise suppression circuit, which is connected to the negative output terminal of the sensor and is used to suppress the high-frequency noise and electromagnetic interference in the negative output signal of the sensor;

[0058] The differential amplifier circuit, which is used to receive the differential signal output by the first noise suppression circuit and the second noise suppression circuit and amplify the differential signal;

[0059] The error cancellation circuit, which is used to eliminate the measurement error caused by system disturbance by performing error compensation on the output signal of the differential amplifier circuit.

[0060] In the above, both the first noise suppression circuit and the second noise suppression circuit include:

[0061] The first filter, which is used to preprocess the high-frequency noise in the temperature signal to filter out the high-frequency clutter components;

[0062] The second filter, which is used to precisely filter the signal processed by the first filter to filter out the electromagnetic interference components.

[0063] In a specific embodiment, the first filter is an RC low-pass filter. Taking the first noise suppression circuit as an example, it is used to preprocess the high-frequency noise in the output signal of the positive electrode of the sensor. In the specific circuit structure, as Figure 3 shown, the RC low-pass filter includes a first resistor R1 and a first capacitor C1. The first ends of the first resistor R1 and the first capacitor C1 are connected to the sensor signal interface J1, and the second ends of the first resistor R1 and the first capacitor C1 are grounded.

[0064] In the environment of boron carbide spray drying, the temperature signal output by the sensor is often interfered by high-frequency noise, such as high-frequency interference generated by the operation of the equipment motor, clutter brought by power fluctuations, etc. According to the cut-off frequency formula f c = 1 / 2πRC of the RC low-pass filter, its cut-off frequency can be calculated. The RC low-pass filter can effectively filter out the high-frequency noise higher than the cut-off frequency according to its own cut-off frequency characteristics, and only allow the low-frequency temperature signal to pass through, thereby initially purifying the temperature signal.

[0065] The signal processed by the first noise suppression circuit enters the second noise suppression circuit. The second filter in this circuit is an amplifier with a feedback network. It can not only further filter the signal, but also has the function of amplifying the signal. The feedback network can monitor the change of the signal in real time and automatically adjust the amplification factor and filtering characteristics of the amplifier according to the characteristics of the signal.

[0066] As Figure 3 shown, taking the second filter in the first noise suppression circuit as an example, its core component is the first amplifier U1A. The non-inverting input terminal of the first amplifier U1A is connected to the output terminal of the first filter through the second resistor R2, and a feedback network is arranged between the inverting input terminal and the output terminal of the first amplifier U1A. The feedback network includes a first inductor L1, a second capacitor C3, a third resistor R5, a fourth resistor R6 and a first diode VD1. The first ends of the first inductor L1 and the second capacitor C3 are connected to the inverting input terminal of the first amplifier U1A and grounded through the fourth resistor R6. The second end of the second capacitor C3 is connected to the first end of the third resistor R5 and the anode of the first diode VD1. The second ends of the first inductor L1 and the third resistor R5 and the cathode of the first diode VD1 are connected to the output terminal of the first amplifier U1A.

[0067] In practical applications, when the signal fluctuates due to complex external electromagnetic interference, the feedback network automatically adjusts the gain and frequency response of the first amplifier U1 according to the characteristics of the signal. For example, when the signal is subject to external electromagnetic interference in the range of 50 kHz - 100 kHz, the LC resonant circuit composed of the first inductor L1 and the second capacitor C3 will generate a large impedance to the interference signal within this frequency range, thereby suppressing electromagnetic interference. At the same time, the first diode VD1 can prevent the signal from flowing in the reverse direction, enabling the signal to remain stable and further improving the signal quality.

[0068] After being processed by the first noise suppression circuit and the second noise suppression circuit, the temperature signal needs to be further amplified and the error eliminated to ensure the accuracy and reliability of the temperature data transmitted to the system controller. As Figure 3 shown, the differential amplifier circuit includes the second amplifier U2A. The non-inverting input terminal of the second amplifier U2A is connected to the output terminal of the first noise suppression circuit through the fifth resistor R9, and the inverting input terminal of the second amplifier U2A is connected to the output terminal of the second noise suppression circuit through the sixth resistor R10. The output terminal of the second amplifier U2A is connected to the first end of the seventh resistor R12 and the third capacitor C5. The second end of the third capacitor C5 is connected to the inverting input terminal of the second amplifier U2A through the eighth resistor R11. The second end of the seventh resistor R12 is connected to the input terminal of the error elimination circuit and is connected to the A / D converter through the ninth resistor R15.

[0069] In the above, the differential amplifier circuit amplifies the differential signal using the characteristics of the second amplifier U2A to increase the signal strength, enabling it to better resist noise interference during transmission. During the amplification process, the third capacitor C5 and the eighth resistor R11 form a feedback loop. When the input signal changes, the feedback loop adjusts the input signal according to the change in the output signal, making the operating point of the amplifier more stable and reducing the output fluctuations caused by external interference or component parameter changes.

[0070] During the entire temperature signal processing process, due to factors such as the accuracy limitations of the sensor itself, the non-ideal characteristics of circuit components, and external environmental interference, there will be a certain measurement error in the finally obtained temperature signal. Therefore, an error elimination circuit is used to correct and compensate for the measurement error. As Figure 3 shown, this circuit includes a variable resistor RP1 and a third amplifier U3A. The first end of the variable resistor is connected to the second end of the seventh resistor R12 at the adjustment end. The second end of the variable resistor RP1 is connected to the inverting input terminal of the third amplifier U3A. A parallel combination of the tenth resistor R13 and the fourth capacitor C6 is provided between the inverting input terminal and the output terminal of the third amplifier U3A. The non-inverting input terminal of the third amplifier U3A is connected to the non-inverting input terminal of the second amplifier U2A and is connected to the output terminal of the third amplifier U3A through the eleventh resistor R14.

[0071] During the operation of the error cancellation circuit, the adjustable resistor RP1 receives the temperature signal output by the differential amplifier circuit. The non-inverting input terminal of the third amplifier U3A is connected to the non-inverting input terminal of the second amplifier U2A to obtain a reference signal. At the same time, the inverting input terminal receives the signal adjusted by the adjustable resistor RP1. If there is a difference between the signal at the inverting input terminal of U3A and the reference signal at the non-inverting input terminal, it indicates that there is an error in the input signal. Then U3A will amplify this error signal and output an adjusted signal according to the direction and magnitude of the error, so as to cancel the measurement error and improve the accuracy of temperature measurement. At the same time, the parallel-connected tenth resistor R13 and fourth capacitor C6 can quickly respond to the fluctuations of the output signal by using the negative feedback mechanism and perform reverse adjustment, which has the effect of stabilizing the output signal of U3A.

[0072] In a specific embodiment, the A / D converter is selected as ADC0809, which is a common 8-bit successive approximation analog-to-digital converter with 8 analog input channels. Specifically, when setting, the output terminal of the first signal conditioning component is connected to the IN0 channel of ADC0809, and the output terminal of the second signal conditioning component is connected to the IN1 channel. When the system controller needs to perform analog-to-digital conversion, it first sends a high-level pulse signal to the START and ALE pins of ADC0809. The ALE signal latches the channel selection address, and at this time, the START signal starts the analog-to-digital conversion process.

[0073] The system controller is used to process the received temperature data, such as Figure 4 shown, including the following steps:

[0074] Step S1: Initialize the system parameters, including setting the target inlet air temperature T in_ 、target outlet air temperature T out_set , setting the initial proportional coefficient K p0 、integral coefficient K i0 and differential coefficient K d0 for the adaptive fuzzy PID controller, and setting the initial power of the hot blast stove to P1.

[0075] Step S2: Receive the inlet air temperature data and the outlet air temperature data, and perform moving average filtering on the data to remove noise interference. The moving average filtering formula is:

[0076]

[0077] where, T i is the i-th sampling value, and n is the number of sampling points.

[0078] Step S3: Calculate the inlet air temperature deviation and the outlet air temperature deviation. Among them, the inlet air temperature deviation ein = T in_ -T in ; Outlet air temperature deviation e out = T out_set -T out ; To obtain the comprehensive deviation e of the influence on the drying process t :

[0079] e t = ω1e in + ω2e out

[0080] Wherein, ω1 and ω2 are weighting coefficients, and ω1 + ω2 = 1.

[0081] Step S4: Adjust the heating power of the hot blast stove according to the comprehensive deviation.

[0082] In this embodiment, a fuzzy-PID control algorithm is used to adjust the heating power of the hot blast stove, as Figure 5 shown, the specific steps are as follows:

[0083] Calculate the comprehensive deviation change rate Δe = e t -e p , where, e p is the comprehensive deviation at the previous moment; then use the comprehensive deviation e t and the comprehensive deviation change rate Δe as the inputs of the fuzzy controller;

[0084] According to the preset fuzzy rule table, obtain the fuzzy output quantity from the fuzzified comprehensive deviation and comprehensive deviation change rate;

[0085] Use the centroid method to defuzzify the fuzzy output quantity to obtain the accurate adjustment quantity;

[0086] Update the PID parameters according to the accurate adjustment quantity obtained by defuzzification;

[0087] Calculate the control quantity according to the updated PID parameters, convert the control quantity into an adjustment signal for the heating power of the hot blast stove to adjust the power of the hot blast stove.

[0088] Calculate the control quantity according to the updated PID parameters, and its calculation formula is:

[0089]

[0090] Where, Δt is the sampling time interval, e t (n) is the current comprehensive deviation, K p , K i , K d are the proportional, integral, and differential coefficients respectively, and c(n) is the current control quantity.

[0091] In a specific embodiment, the fuzzy subsets of the comprehensive deviation are set as {Negative Big (NB), Negative Medium (NM), Negative Small (NS), Zero (ZO), Positive Small (PS), Positive Medium (PM), Positive Big (PB)}, and the fuzzy subsets of the change rate of the comprehensive deviation are the same as those of the comprehensive deviation.

[0092] To achieve precise fuzzy inference, a fuzzy rule table needs to be formulated in advance. This rule table reflects the mapping relationship between the comprehensive deviation, the change rate of the comprehensive deviation, and the fuzzy output quantity, and its formulation depends on actual drying process experience and a large amount of experimental data. The following is an example of a complete fuzzy rule table:

[0093] Comprehensive deviation / Comprehensive deviation change rate NB NM NS ZO PS PM PB NB PB PB PM PM PS ZO ZO NM PB PM PM PS PS ZO NS NS PM PM PS PS ZO NS NS ZO PM PS PS ZO NS NS NM PS PS PS ZO NS NS NM NB PM PS ZO NS NS NM NB NB PB ZO ZO NS NM NM NB NB

[0094] Taking the rule "When the comprehensive deviation is Negative Big (NB) and the change rate of the comprehensive deviation is Negative Big (NB), the fuzzy output quantity is Positive Big (PB)" as an example, this means that the current inlet air and outlet air temperatures are much lower than the target values, and the temperature decreasing trend is obvious. At this time, it is necessary to significantly increase the heating power of the hot blast stove to quickly raise the temperature and meet the requirements of the drying process.

[0095] In practical applications, according to the fuzzification results of the input comprehensive deviation and the change rate of the comprehensive deviation, the corresponding fuzzy output quantity is found by looking up this rule table. Then, the precise adjustment quantity obtained through defuzzification is used to update the PID parameters, so as to be able to more accurately adapt to the dynamic changes in the boron carbide spray drying process. Calculate the control quantity according to the updated PID parameters and convert it into an adjustment signal for the heating power of the hot blast stove. This adjustment signal will act on the hot blast stove in real time, enabling the power of the hot blast stove to be dynamically adjusted according to the temperature deviation and change rate during the drying process, and finally making the comprehensive deviation e t gradually approach zero.

[0096] During the entire boron carbide spray drying process, by continuously monitoring the inlet air temperature and the outlet air temperature, calculating the comprehensive deviation and the change rate of the comprehensive deviation, and repeating the above fuzzy-PID control process. In this way, through repeated cycles, the real-time and precise control of the heating power of the hot blast stove is achieved, ensuring that boron carbide is dried in a stable and suitable temperature environment, improving the drying quality and efficiency, reducing energy consumption, and at the same time reducing the problem of unstable product quality caused by temperature fluctuations.

[0097] In the description of the present application, it should be noted that the terms "first", "second", and "third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0098] Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0099] In several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods. For another example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some communication interfaces. The indirect coupling or communication connection of devices or units can be in electrical, mechanical, or other forms.

[0100] The units described as separate components may or may not be physically separated. The components shown as units may or may not be physical units, that is, they may be located in one place, or they may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0101] In addition, in each embodiment of the present application, the functional units can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit.

[0102] The above is a further detailed description of the present invention in combination with specific implementation manners. It cannot be determined that the specific implementation of the present invention is only limited to this; for those skilled in the art of the present invention and related technical fields, based on the technical solution idea of the present invention, the expansions, operation methods, and data replacements should all fall within the protection scope of the present invention.

Claims

1. A spray drying device for boron carbide production, comprising a spray drying tower, a hot air furnace, a cyclone separator and a system controller, wherein an atomizer and an online detection module are arranged in the spray drying tower, characterized in that: The online detection module is used to monitor the temperature parameters during the spray drying process, including: The first temperature sensor is arranged at the air inlet of the spray drying tower to collect the air inlet temperature T in real time. in ; The second temperature sensor is arranged at the air outlet of the spray drying tower to collect the air outlet temperature T in real time. out ; a temperature signal processing unit connected to the first temperature sensor and the second temperature sensor, for preprocessing the collected temperature signal and sending the preprocessed temperature data to the system controller; The system controller is used to process the received temperature data, including the following steps: Initialize system parameters; Receive inlet air temperature data and outlet air temperature data, and perform moving average filtering on the data; Calculate the inlet air temperature deviation and outlet air temperature deviation to obtain the comprehensive deviation affecting the drying process; The heating power of the hot blast stove is adjusted according to the comprehensive deviation.

2. A spray drying device for producing boron carbide according to claim 1, characterized in that: The temperature signal processing unit includes two signal conditioning components and an A / D converter, wherein the input end of the signal conditioning component is connected to the signal output end of the first temperature sensor or the second temperature sensor, and the output end of the signal conditioning component is connected to the A / D converter; The signal conditioning components include: A first noise suppression circuit is connected to the positive output terminal of the sensor and is used to suppress high-frequency noise and electromagnetic interference in the positive output signal of the sensor; A second noise suppression circuit is connected to the negative output terminal of the sensor and is used to suppress high-frequency noise and electromagnetic interference in the negative output signal of the sensor; A differential amplifier circuit, configured to receive a differential signal output by the first noise suppression circuit and the second noise suppression circuit, and amplify the differential signal; The error elimination circuit is used to eliminate the measurement error caused by system disturbance by performing error compensation on the output signal of the differential amplifier circuit.

3. A spray drying device for producing boron carbide according to claim 2, characterized in that: The first noise suppression circuit and the second noise suppression circuit both include: A first filter, used for preprocessing high-frequency noise in the temperature signal to filter out high-frequency clutter components; The second filter is used to accurately filter the signal processed by the first filter to filter out electromagnetic interference components.

4. A spray drying device for producing boron carbide according to claim 3, characterized in that: The first filter is an RC low-pass filter, which includes a first resistor and a first capacitor. The first ends of the first resistor and the first capacitor are connected to the sensor signal interface, and the second ends of the first resistor and the first capacitor are grounded.

5. A spray drying device for producing boron carbide according to claim 3, characterized in that: The second filter comprises a first amplifier, a non-inverting input terminal of the first amplifier is connected to the first filter via a second resistor, and a feedback network is provided between an inverting input terminal and an output terminal of the first amplifier for adjusting a gain and a frequency response of the first amplifier.

6. A spray drying device for producing boron carbide according to claim 5, characterized in that: The feedback network includes a first inductor, a second capacitor, a third resistor, a fourth resistor and a first diode. The first ends of the first inductor and the second capacitor are connected to the inverting input terminal of the first amplifier and are grounded through the fourth resistor. The second end of the second capacitor is connected to the first end of the third resistor and the anode of the first diode. The second ends of the first inductor and the third resistor and the cathode of the first diode are connected to the output terminal of the first amplifier.

7. A spray drying device for producing boron carbide according to claim 2, characterized in that: The differential amplifier circuit includes a second amplifier, a non-inverting input terminal of the second amplifier is connected to the output terminal of the first noise suppression circuit through a fifth resistor, an inverting input terminal of the second amplifier is connected to the output terminal of the second noise suppression circuit through a sixth resistor, the output terminal of the second amplifier is connected to a seventh resistor and a first terminal of a third capacitor, a second terminal of the third capacitor is connected to the inverting input terminal of the second amplifier through an eighth resistor, a second terminal of the seventh resistor is connected to the input terminal of the error elimination circuit, and is connected to the A / D converter through a ninth resistor.

8. A spray drying device for producing boron carbide according to claim 7, characterized in that: The error elimination circuit includes an adjustable resistor and a third amplifier, the first end of the adjustable resistor and the adjustment end are connected to the second end of the seventh resistor, the second end of the adjustable resistor is connected to the inverting input end of the third amplifier, a tenth resistor and a fourth capacitor are arranged in parallel between the inverting input end and the output end of the third amplifier, the non-inverting input end of the third amplifier is connected to the non-inverting input end of the second amplifier, and is connected to the output end of the third amplifier through an eleventh resistor.

9. A spray drying device for producing boron carbide according to claim 1, characterized in that: The heating power of the hot blast stove is adjusted according to the comprehensive deviation, and a fuzzy-PID control algorithm is used. The specific steps are as follows: Calculate the comprehensive deviation change rate, and use the comprehensive deviation and the comprehensive deviation change rate as inputs of the fuzzy controller; According to the preset fuzzy rule table, the fuzzy output is obtained from the fuzzified comprehensive deviation and the comprehensive deviation change rate; The fuzzy output is defuzzified using the centroid method to obtain the precise adjustment amount; Update PID parameters according to the precise adjustment amount obtained by defuzzification; The control amount is calculated according to the updated PID parameters, and the control amount is converted into an adjustment signal for the heating power of the hot blast stove to adjust the power of the hot blast stove.

10. A spray drying device for producing boron carbide according to claim 9, characterized in that: The control amount is calculated according to the updated PID parameters, and the calculation formula is: Where n is the number of sampling points, Δt is the sampling time interval, and e t (n) is the current comprehensive deviation, K p , K i , K d They are proportional, integral and differential coefficients respectively, and c(n) is the current control quantity.

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