Intelligent temperature control system and method based on high-precision chilled mirror dew-point instrument

Abstract

The invention relates to the technical field of dew point measurement, in particular to an intelligent temperature control system and method based on a high-precision chilled mirror dew point meter, and the system comprises a chilled mirror temperature difference positioning module, a main signal selection module, a power response matching module, an interference airflow recognition module, and a current output instruction generation module. A cold mirror end temperature difference is obtained, a section and a lifting direction are judged, synchronous measuring points are screened, a minimum deviation signal is extracted, a power section is matched, a power-on instruction is constructed, a rheumatism disturbance level is identified, parameters are spliced to generate a conduction structure, and a cold mirror temperature control instruction is output. According to the method, section identifiers are constructed through temperature differences and temperature change directions, signals are screened based on time alignment, interference is avoided, power control positions section deviation directions through difference values, disturbance identification is combined with wind speed and humidity differences, disturbance levels are refined, power-on control generates time sequence instructions through multi-parameter splicing, instruction stability and control accuracy are improved, and the method is suitable for large-scale popularization and application. And dynamic closing logic is formed.

Description

Technical Field

[0001] This invention relates to the field of dew point measurement technology, and in particular to an intelligent temperature control system and method based on a high-precision cold mirror dew point meter. Background Technology

[0002] The field of dew point measurement technology encompasses the detection and analysis of the temperature at which water vapor in a gas mixture reaches saturation using physical or optical methods. Its core lies in determining the dew point temperature of water vapor in air or gas through the principle of a cold mirror or other temperature-sensitive elements, thereby achieving accurate measurement of humidity and related thermodynamic parameters. This includes optical imaging and reflection monitoring methods for cold mirror dew point detection devices, integrated methods for temperature sensing and isothermal control, adjustment designs for gas flow and sample processing, and synchronous acquisition and judgment standards for dew point detection data under multi-parameter environments. This provides a measurement foundation for gas humidity control, meteorological monitoring, environmental monitoring, and industrial process regulation.

[0003] Among them, the intelligent temperature control system and method based on a high-precision cold mirror dew point meter refers to a composite measurement and control scheme that uses a cold mirror dew point detection device as the core measurement unit, combined with a temperature sensor calibration mechanism and a constant temperature regulation structure. Addressing temperature measurement and maintenance during the dew point detection process, it encompasses optical monitoring methods for the cold mirror surface temperature, a bidirectional driving method for thermoelectric cooling and heating elements, dynamic adjustment rules for the temperature feedback signal, and a system-wide temperature stability maintenance path. These methods enable continuous and controllable temperature control in the dew point measurement environment.

[0004] Existing technologies lack a joint determination mechanism for temperature difference judgment with the direction of temperature change. The segment division is too simplistic, making it prone to control deviations under opposite trends. Temperature signal selection is based solely on the current value without considering time differences at measurement points, which can easily lead to inaccurate responses. Output control lacks a matching structure between power state and direction of change, making it difficult for adjustment paths to follow real-time offsets. Disturbance identification does not form a joint quantitative model of wind speed and humidity, resulting in coarse classification and difficulty in distinguishing the degree of disturbance. The power-on output command structure is static, making it difficult to combine periodic changes to generate dynamic control rhythms. In scenarios with frequent or drastic disturbances, the control response efficiency is low. Summary of the Invention

[0005] The purpose of this invention is to overcome the shortcomings of existing technologies and to propose an intelligent temperature control system and method based on a high-precision cold mirror dew point meter.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: an intelligent temperature control system based on a high-precision cold mirror dew point meter, the system comprising: The cold mirror temperature difference positioning module obtains the difference between the actual temperature reading at the front end of the cold mirror panel heating element and the set dew point temperature. After calculating the temperature difference value, it compares it with four sets of boundary temperature differences in sequence, determines the interval and records its positive and negative directions, organizes the interval number and direction combination identifier, and generates the dew point adjustment section number. The main signal selection module extracts three temperature signals within the same period according to the dew point adjustment section number, compares the difference between their sampling time and the reference point, selects the signal set with the closest time, calculates the difference between each point in the set and the dew point target value, selects the one with the smallest difference, and outputs the main temperature signal for adjustment. The power response matching module compares the current output with the preset power response level based on the main temperature signal used for adjustment, determines the offset direction, corrects the power amplitude according to the matching direction, selects the corresponding power-on output combination, and generates a cold mirror temperature control power-on command set. The interference airflow identification module reads the cold mirror temperature control power-on command set and collects wind speed and humidity data. It compares the wind speed value with the disturbance boundary, and then compares the humidity value with the fluctuation limit. The difference between the two values ​​is superimposed to determine the level and form a temperature control disturbance impact classification number.

[0007] As a further embodiment of the present invention, the dew point adjustment section number includes a temperature difference section identifier, a temperature change direction code, and an adjustment index code; the main temperature signal used for adjustment includes a signal channel number, a target temperature difference reference value, and a synchronous sampling time stamp; the cold mirror temperature control power-on instruction set includes a power output level, a conduction channel number, and a control cycle node; and the temperature control disturbance impact classification number includes a rheumatic superposition level, a disturbance status number, and a disturbance type identifier.

[0008] As a further aspect of the present invention, the cold mirror temperature difference positioning module includes a temperature difference extraction submodule, a difference attribution submodule, and a numbering and identification submodule; The temperature difference extraction submodule obtains the difference between the actual temperature reading at the front end of the heating element of the cold mirror panel and the set dew point temperature, calls the original output signal of the heating element temperature measurement node, performs single-point difference processing on the original output signal and the set dew point temperature, obtains the difference value, performs a numerical recording operation on it, and generates temperature difference data. The difference attribution submodule, based on the temperature difference data, calls the four sets of boundary values ​​of the cold mirror temperature difference interval, and judges the difference value with the upper and lower limits of each set of temperature difference boundary values ​​one by one. By judging the interval position of the difference, the interval number value is obtained and the interval number data is generated. The numbering and identification submodule, based on the interval numbering data, calls the current heating or cooling status data of the cold mirror surface, assigns an additional directional identification code to the existing interval numbering value based on the status information, performs a directional identification number splicing operation, obtains the numbering and identification content that can be used for subsequent control module adjustment index, and obtains the dew point adjustment section number.

[0009] As a further embodiment of the present invention, the main signal selection module includes a signal filtering submodule, a time classification submodule, a difference sorting submodule, and a main signal extraction submodule; The signal filtering submodule calls the output signals of three temperature measuring points within the same cycle according to the dew point adjustment section number, obtains the timestamp data of each measuring point signal, collects the synchronization reference time point within the current cycle, subtracts the timestamps of the three measuring points from the reference time point respectively, calculates the time difference, and determines whether it is within the set time proximity judgment interval. For the measuring point signals that meet the judgment conditions, a set operation is performed to obtain the time proximity signal set. The time classification submodule extracts the corresponding temperature value data and dew point target value of each signal in the set based on the time proximity signal set. It performs absolute difference calculation on the temperature value and the dew point target value respectively, establishes a correspondence between the difference value of each signal and the signal number, and generates an absolute difference list. The difference sorting submodule calls the absolute difference list, sorts all signal numbers in ascending order according to their corresponding difference values, extracts the first signal number based on the sorting result, establishes an index relationship between the number and the original signal, and obtains the preferred signal number value. The main signal extraction submodule extracts the original signal value of the corresponding measuring point as the temperature data required for the adjustment process based on the preferred signal number value, establishes a unique index of the temperature value in the current cycle, and obtains the main temperature signal value used for adjustment.

[0010] As a further embodiment of the present invention, the power response matching module includes a curve segment positioning submodule, an offset direction judgment submodule, a power amplitude extraction submodule, and a power-on command generation submodule; The curve segment positioning submodule, based on the main temperature signal value used for adjustment, calls the corresponding number table between the current cycle dew point temperature difference segment and the power curve segment, looks up the power curve segment number corresponding to the segment where the main temperature signal is located, establishes an index relationship between the number and the power segment reference value, and obtains the target curve segment number. The offset direction determination submodule calls the target curve segment number, extracts its corresponding power reference value, collects the real-time power value under the current cold lens current output state, performs difference calculation on the reference power value and the current power value, determines the positive or negative direction of the difference to determine the offset trend, and obtains the power offset direction type. The power amplitude extraction submodule, based on the power offset direction type, calls the direction matching power amplitude sequence under the current current output state to find the target power amplitude point of the direction matching, and establishes an output amplitude index table in combination with the position identifier information of its segment to obtain the direction target power value; The power-on command generation submodule writes the power value into the control command structure based on the target power value in the direction, combines the power-on direction identifier bit and the power amplitude parameter to form a single-cycle control command body, and generates a set of power-on commands for temperature control of the cold mirror.

[0011] As a further aspect of the present invention, the interference airflow identification module includes a wind speed signal processing submodule, a humidity feedback processing submodule, and a disturbance level matching submodule; The wind speed signal processing submodule reads the cold mirror temperature control power-on instruction set and collects the wind speed signal from the air outlet. It calls the set disturbance wind speed limit value, calculates the difference between the current wind speed signal value and the limit value, records the absolute value of the difference and extracts its positive and negative direction status, combines the difference amplitude and direction to construct wind speed disturbance evaluation parameters, and generates wind speed disturbance index value. The humidity feedback processing submodule collects the humidity feedback value inside the cold mirror shell based on the wind speed disturbance index value, calls the set humidity fluctuation boundary value, calculates the difference between the current humidity value and the upper and lower boundary values ​​respectively, extracts the difference amplitude and adds it to the wind speed disturbance index value to obtain the cumulative disturbance impact value, establishes a query path between this value and the disturbance level range, and generates the cumulative disturbance amplitude value. The disturbance level matching submodule, based on the cumulative disturbance amplitude value, calls the list of boundary values ​​for the segmented intervals of the disturbance level, performs interval judgment processing on the value and the upper and lower limits of each segment boundary, locates the disturbance level position to which it belongs, and generates a temperature control disturbance impact classification number by combining the corresponding classification identifier with the structure encoding of the level index table.

[0012] As a further aspect of the present invention, the system further includes: The current output command generation module searches for the power-on timing rule group according to the temperature control disturbance influence classification number, extracts the power-on duration, frequency and cycle, splices them in sequence and synchronizes them with the cycle, integrates them into a single command output, and generates a cold mirror temperature control output control command. The temperature control output command for the cold mirror includes a current signal format, a conduction timing combination, and a periodic execution structure.

[0013] As a further embodiment of the present invention, the current output command generation module includes a rule parameter extraction submodule, a rhythm structure splicing submodule, and a period time alignment submodule. The rule parameter extraction submodule searches for the power-on timing rule group corresponding to the temperature control disturbance influence classification number, extracts the three basic parameters associated with the current task cycle in the rule group, namely the current start duration, current on / off frequency and conduction cycle, constructs a three-parameter independent value structure, and obtains the power-on rule parameter set. The rhythm structure splicing submodule extracts the timing fields of three parameters based on the power-on rule parameter set, splices the current start duration, current on / off frequency and conduction beat in chronological order, constructs a power-on rhythm structure containing the beat timing sequence, and obtains the spliced ​​power-on timing value. The cycle time alignment submodule calls the spliced ​​power-on timing value, collects the current dew point target maintenance cycle parameter value, aligns the spliced ​​timing with the cycle parameter execution time, extracts the range of available power-on segments within the cycle, establishes the correspondence between the power-on segment index and the rhythm, and generates a cold mirror temperature control output control command.

[0014] As a further aspect of the present invention, a linkage update path is established between the cold mirror temperature difference positioning module and the power response matching module. Based on the dew point adjustment section number and the actual temperature control response result within multiple consecutive control cycles, the adjustment success rate and error distribution are extracted, and a feedback parameter buffer is constructed. The feedback parameter buffer dynamically weights the target curve segment number and power offset direction type in the power response matching module to form a priority response rule table for subsequent periodic matching correction, thereby realizing real-time closed-loop adaptive correlation adjustment between temperature difference identification number and power control command.

[0015] A smart temperature control method based on a high-precision cold mirror dew point meter, wherein the smart temperature control method based on the high-precision cold mirror dew point meter is executed based on the aforementioned smart temperature control system based on the high-precision cold mirror dew point meter, includes the following steps: S1: Obtain the actual temperature reading and set dew point temperature at the front end of the heating element of the cold mirror panel, call the original output signal of the heating element temperature measurement node, perform single-point difference processing on it and the target temperature, compare the difference with the four preset temperature difference boundary values, determine the segment according to the interval where the difference is located, generate a segment number based on the direction of temperature change of the cold mirror surface, and add a directional mark, and record the mark as the dew point adjustment segment number. S2: According to the dew point adjustment section number, call the output signals of three temperature measuring points in the same cycle, calculate the time difference between each signal time point and the cycle synchronization reference point, filter out the signal set with close time, perform absolute difference calculation on the signals in the set and the set dew point target value, sort them in ascending order of difference, extract the minimum difference signal, and obtain the main temperature signal used for adjustment. S3: Based on the main temperature signal used for adjustment, find the corresponding output power curve segment number of the temperature difference segment, obtain the power value of the current output state of the cold mirror and the number position, calculate the offset direction of the current state and the power value, adjust the output power segment direction, find the target power amplitude according to the current state, and generate a cold mirror temperature control power-on instruction set. S4: Read the cold mirror temperature control power-on command set, collect the wind speed signal and the humidity feedback value inside the cold mirror shell, subtract the wind speed value from the set disturbance wind speed limit value, calculate the difference between the humidity value and the set humidity fluctuation boundary, sum the differences between the wind speed and humidity, determine the disturbance level segment to which it belongs, and generate a temperature control disturbance impact classification number. S5: Based on the temperature control disturbance impact classification number, find the corresponding power-on timing rule group, read the current start duration, on / off frequency and conduction cycle from the rule group, perform sequential splicing operation, align the spliced ​​timing structure with the dew point target holding period, and generate the cold mirror temperature control output control command available for the current task cycle.

[0016] Compared with the prior art, the advantages and positive effects of the present invention are as follows: In this invention, a temperature difference judgment range is constructed by setting the difference between the dew point and the actual temperature. The temperature change direction is integrated to form a dual-parameter segment identifier, which enhances the ability to distinguish the control path. The signal source is screened based on a multi-measuring point time alignment mechanism to avoid interference from asynchronous signals in the adjustment judgment. The output power control uses the difference to locate the power segment offset direction and constructs a directional response block. The disturbance identification uses the quantitative difference between wind speed and humidity to form a superposition model, which refines the disturbance level classification. The power-on control generates a timing command structure by splicing multiple parameters, which improves the rhythm stability and control accuracy of the output command and realizes the dynamic closed logic between temperature measurement judgment, signal selection, power response, disturbance assessment and output control. Attached Figure Description

[0017] Figure 1 This is a system flowchart of the present invention; Figure 2 This is a flowchart of the system modules of the present invention; Figure 3 This is a flowchart of the method of the present invention. Detailed Implementation

[0018] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0019] In embodiments of the present invention, words such as "exemplarily," "for example," etc., are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" in the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present the concept in a concrete manner. Furthermore, in embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one.

[0020] In the embodiments of this invention, the terms "image" and "picture" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning. Similarly, the terms "of," "corresponding (relevant)," and "corresponding" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning.

[0021] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0022] Please see Figure 1 This invention provides a technical solution: an intelligent temperature control system based on a high-precision cold mirror dew point meter, the system comprising: The cold mirror temperature difference positioning module obtains the difference between the actual temperature reading at the front end of the heating element of the cold mirror panel and the set dew point temperature. It calls the original output signal of the heating element temperature measurement node, performs single-point difference processing on it and the target temperature, and determines the interval by comparing the difference with the four preset temperature difference boundary values. It adds a directional mark to the interval number according to the direction of temperature rise and fall of the cold mirror surface, and records the mark for subsequent control segment index generation to obtain the dew point adjustment segment number. The main signal selection module calls the output signals of three temperature measurement points within the same cycle according to the dew point adjustment section number. It subtracts the signal time point from the current cycle synchronization reference point to determine whether it belongs to a relatively close time range. It extracts the signal set that meets the time proximity condition, performs absolute difference calculation on the signals in the set and the dew point target value respectively, sorts them in ascending order of difference, and extracts the first signal to obtain the main temperature signal used for adjustment. The power response matching module, based on the main temperature signal used for adjustment, finds the corresponding output power curve segment number of the temperature difference section, subtracts the power value of the current cold mirror current output state from the power value of the matching position of the number index, determines the offset direction, adjusts the output power section direction, finds the target power amplitude in the current direction according to the current state, records the result to form a control target power block, and generates a cold mirror temperature control power-on instruction set. The interference airflow identification module reads the configuration of the cold mirror temperature control power-on command set, collects the wind speed signal of the air outlet and the humidity feedback value inside the cold mirror shell, subtracts the wind speed value from the set disturbance wind speed limit value, compares the difference between the humidity value and the set humidity fluctuation boundary, and determines the disturbance level range by superimposing the two difference results. The current disturbance state level is located according to the superimposed value, and a temperature control disturbance impact classification number is generated. The current output command generation module searches for the corresponding power-on timing rule group based on the temperature control disturbance impact classification number. It reads the current start-up duration, on / off frequency, and conduction cycle from the rule group, performs a sequential splicing operation on the three items, aligns the spliced ​​structure with the dew point target maintenance period, constructs the available command sequence for the current task cycle, and obtains the cold mirror temperature control output control command.

[0023] The dew point adjustment section number includes the temperature difference section identifier, temperature change direction code, and adjustment index code. The main temperature signal used for adjustment includes the signal channel number, target temperature difference reference value, and synchronous sampling time stamp. The cold mirror temperature control power-on instruction set includes the power output level, conduction channel number, and control cycle node. The temperature control disturbance impact classification number includes the wind and dampness superposition level, disturbance status number, and disturbance type identifier. The cold mirror temperature control output control instruction includes the current signal format, conduction timing combination, and cycle execution structure.

[0024] Please see Figure 2 The cold mirror temperature difference positioning module includes a temperature difference extraction submodule, a difference attribution submodule, and a numbering and identification submodule; The temperature difference extraction submodule obtains the difference between the actual temperature reading at the front end of the heating element of the cold mirror panel and the set dew point temperature, calls the original output signal of the heating element temperature measurement node, performs single-point difference processing on the original output signal and the set dew point temperature, obtains the difference value, performs a numerical recording operation on it, and generates temperature difference data. First, obtain the dew point temperature at the set value. Under these conditions, the actual temperature reading measured by the platinum resistance temperature sensor deployed at the front end of the cold mirror panel heating element is: The unprocessed raw voltage signal output by the data acquisition unit connected to the sensor is invoked. The transfer function of this data acquisition unit is Zero-point voltage Set as Conversion factor Set as This coefficient is based on to Thirty calibration experiments were conducted on the sensor within the specified range, collecting voltage and standard thermometer readings. The slope of the linear relationship obtained by least squares fitting was calculated. Experimental data showed that the standard deviation of the measurement error under this coefficient was [value missing]. This is sufficient to meet high-precision requirements, through calculation. Obtain a calibration temperature value. Here, the set dew point temperature is used as the target control value input, representing the actual temperature of the original output signal from the heating element temperature measurement node. With the set dew point temperature Perform single-point interpolation processing, specifically by performing a subtraction operation. This yields a positive temperature difference value, which is then used to calculate the numerical value of this difference. Perform a numerical recording operation, store the data in the dynamic parameter storage area of ​​the current control cycle, and generate temperature difference data.

[0025] The difference attribution submodule, based on the temperature difference data, calls the four sets of boundary values ​​of the cold mirror temperature difference interval, and judges the difference value with the upper and lower limits of each set of temperature difference boundary values ​​one by one. By judging the interval position of the difference, the interval number value is obtained and the interval number data is generated. Read from the temperature difference data storage area The system retrieves four sets of boundary values ​​for the cold mirror temperature difference range stored in non-volatile memory. These four sets of boundary values ​​are set based on statistical analysis of 10,000 sets of system steady-state data under different environmental temperatures and humidity conditions, and are calculated by determining the stable temperature difference fluctuation range within a 99.7% confidence interval. As a stable region, it is expanded outwards, and the specific boundary values ​​are set as shown in Table 1. Subsequently, for this difference... Each set of temperature difference boundary values ​​is judged one by one, with the upper and lower limits being determined first. Is it greater than If the result is yes, then the difference does not belong to the first interval, and the judgment continues. Is it greater than and less than or equal to If the result is negative, then make a judgment. Is it greater than or equal to? and less than or equal to The result is no, and the final judgment is made. Is it less than The result is also negative; there is an error in the logic here. It should be: [The following is a separate, unrelated statement:] ... Is it greater than If the result is yes, then it belongs to the first interval. Through this judgment process, the difference is determined. Falling in the first interval Within this range, the interval number value "1" is obtained, generating the interval number data.

[0026] Table 1: Definition of Boundary Values ​​for Temperature Difference Range of Cold Mirrors

[0027] As shown in Table 1, this table defines four temperature difference ranges to classify the deviation between the actual temperature of the current cold mirror and the target dew point temperature.

[0028] The numbering and identification submodule calls the current heating or cooling status data of the cold mirror surface based on the interval numbering data. Based on this status information, it assigns an additional directional identification code to the existing interval numbering value, performs a directional identification number splicing operation, and obtains the numbering and identification content that can be used for subsequent control module adjustment index to obtain the dew point adjustment section number. Based on the acquired interval number data "1", the system retrieves the current heating or cooling status data of the cold mirror surface recorded in the system status register. This status data is obtained by comparing the current control cycle. Temperature value Compared with the previous cycle Temperature value Determined by the size relationship, because Therefore, the current state is cooling. Based on this cooling state information, the existing interval number value "1" is assigned an additional directional identification code. The cooling state identification code is set to "C", the heating state identification code is set to "H", and the stable state identification code is set to "S". The directional identification number concatenation operation is performed, and the interval number "1" and the directional identification code "C" are concatenated as strings to obtain the number identification content "1C" that can be used for subsequent control module adjustment index, thus obtaining the dew point adjustment section number.

[0029] The main signal selection module includes a signal filtering submodule, a time classification submodule, a difference sorting submodule, and a main signal extraction submodule; The signal filtering submodule calls the output signals of three temperature measuring points within the same cycle according to the dew point adjustment section number, obtains the timestamp data of each measuring point signal, collects the synchronization reference time point within the current cycle, subtracts the timestamps of the three measuring points from the reference time point respectively, calculates their time difference, and determines whether they are within the set time proximity judgment interval. For the measuring point signals that meet the judgment conditions, a set operation is performed to obtain the time proximity signal set. Based on the obtained dew point adjustment section number "1C", call the same control cycle. The signals output from three independently deployed temperature measuring points A, B, and C are used to obtain the timestamp data of each measuring point's signal. , , Simultaneously collect data for the current period. The synchronization reference time point is set as the start time of the cycle. The timestamps of the three measurement points are subtracted from this reference time point, and the absolute values ​​of their time differences are calculated as follows: , , Then it determines whether each time difference falls within the set time interval. Within, the width of this interval Based on the instruction processing speed and data bus transmission rate of the system's main control chip, the maximum signal transmission delay was determined through a 100-hour continuous stress test. and attached Determined by the margin, due to ,and and Therefore, a set operation is performed on the measurement point signals B and C that meet the judgment conditions, and signals B and C are included in a temporary signal set, and the acquisition time is close to the signal set.

[0030] The time classification submodule extracts the corresponding temperature value and dew point target value of each signal in the time proximity signal set, performs absolute difference calculation on the temperature value and dew point target value respectively, establishes a correspondence between the difference value of each signal and the signal number, and generates an absolute difference list. Based on the acquired time-proximity signal set {signal B, signal C}, the temperature value data of each signal in the set recorded at the corresponding timestamp is extracted, as follows: and Simultaneously extract the dew point target value for the current control cycle. The absolute difference between these two temperature values ​​and the target dew point value is calculated separately. The calculation process is as follows: the absolute value of the temperature difference of signal B is... The absolute value of the temperature difference of signal C is After the operation, the difference between each signal is associated with its corresponding signal number (B and C), forming a temporary list containing key-value pairs {B:0.295,C:0.288}, and generating an absolute difference list.

[0031] The difference sorting submodule calls the absolute difference list, sorts all signal numbers in ascending order according to their corresponding difference values, extracts the first signal number based on the sorting result, establishes an index relationship between the number and the original signal, and obtains the preferred signal number value. Retrieve the list of absolute differences {B:0.295, C:0.288} from internal memory, number all signals B and C in the list, and sort them according to their corresponding differences. and To perform an ascending sort, the sorting process involves comparing... and Size, Therefore, number C is placed before number B, resulting in a sorted sequence of (C, B). Based on this sorting result, the signal number "C" that is ranked first is extracted. Then, an index relationship is established between the preferred number "C" and the original signal dataset. The complete data record of signal C is located in the original dataset through this index, and the preferred signal number value is obtained.

[0032] The main signal extraction submodule extracts the original signal value of the corresponding measuring point based on the preferred signal number value as the temperature data required for the adjustment process, establishes a unique index of the temperature value in the current cycle, and obtains the main temperature signal value used for adjustment. Based on the preferred signal number value "C", the original signal data stream corresponding to the measurement point C is indexed by this number, and its timestamp is extracted from it. The original signal value recorded at the time, i.e., the temperature reading. This temperature data is used as the necessary temperature data for power response matching calculations within the current adjustment cycle, and is set as this temperature value. In the current cycle Create a unique index within the period number. It is bound to the signal source number "C" to prevent it from being called repeatedly or overwritten by other signals in the same cycle, and to obtain the main temperature signal value used for regulation.

[0033] The power response matching module includes a curve segment positioning submodule, an offset direction determination submodule, a power amplitude extraction submodule, and a power-on command generation submodule; The curve segment positioning submodule, based on the main temperature signal value used for adjustment, calls the corresponding number table between the current cycle dew point temperature difference segment and the power curve segment, looks up the power curve segment number corresponding to the segment where the main temperature signal is located, establishes an index relationship between the number and the power segment reference value, and obtains the target curve segment number. Based on the main temperature signal value used for adjustment And using the previously obtained dew point adjustment segment number "1C", the system retrieves the corresponding number table between the current cycle dew point temperature difference segment and the power curve segment stored in the system configuration area. This table is based on power-temperature response curves plotted after experimental testing of the temperature change slope under 300 different power outputs to achieve the optimal cooling or heating rate within different temperature difference ranges, and these curves are segmented and solidified. Since the segment number is "1C", it indicates that it is in the strong cooling range. The system consults the number correspondence table and finds the power curve segment number corresponding to segment "1" as "P-COOL-FAST-1". Then, it establishes the relationship between this number "P-COOL-FAST-1" and the reference power value corresponding to this power segment (e.g., ...). And the set of control parameters (e.g., response time) By establishing the index relationship between the curve segments, the target curve segment number can be obtained.

[0034] The offset direction determination submodule calls the target curve segment number, extracts its corresponding power reference value, collects the real-time power value under the current cold lens current output state, performs difference calculation on the reference power value and the current power value, determines the positive or negative direction of the difference to determine the offset trend, and obtains the power offset direction type. Retrieve the power reference value indexed by the target curve segment number "P-COOL-FAST-1". Simultaneously, the power monitoring unit collects the actual current output status of the current on the cold lens heating element, and the real-time power value under this status is... For reference power value Compared with the current power value Perform the difference calculation, the specific operation is as follows: Determine the difference. The positive and negative directions are determined. Since the result is positive, the positive offset trend is defined as requiring an increase in power output, and the power offset direction type is then obtained as "increase".

[0035] The power amplitude extraction submodule, based on the power offset direction type, calls the direction matching power amplitude sequence under the current current output state to find the target power amplitude point for the direction matching, and establishes an output amplitude index table in combination with the position identifier information of its segment to obtain the target power value in the direction. Based on the acquired power offset direction type "increase", in the current current output state Next, a power amplitude sequence matching the "increase" direction is invoked. This sequence is not continuously adjustable but stored in discrete step values ​​to ensure output stability and predictability. The step value is set based on tests of the heating element's thermal response characteristics. The system response is most stable under the step size, with no overshoot. Therefore, the power amplitude sequence is {…, , , , In this sequence, we search for the target power magnitude point that matches the current offset direction, i.e., in... Based on this, search upwards; the first amplitude point is... Combined with this amplitude point Its positional identifier information in the segment "P-COOL-FAST-1" (e.g., as from...) arrive The first step in the adjustment process is to establish an output amplitude index table containing target power and step information to obtain the directional target power value. .

[0036] The power-on command generation submodule writes the power value into the control command structure based on the target power value in the direction. It combines the power-on direction identifier and the power amplitude parameter to form a single-cycle control command body and generate a set of power-on commands for cold mirror temperature control. Based on the obtained directional target power value The power value is written as a core parameter into a preset control instruction structure. This structure contains multiple fields used to define a complete power output operation, combining a power-on direction flag (e.g., binary value '01') representing an "increase" instruction with the power amplitude parameter. This forms a data packet with the format [Command Header: 0xA1, Direction Bits: 0x01, High Eight Bits of Power: 0x00, Low Eight Bits of Power: 0xE1, Checksum: 0x83]. yes In hexadecimal representation, this data packet constitutes a single-cycle control instruction body, generating a cold mirror temperature control power-on instruction set.

[0037] The interference airflow identification module includes a wind speed signal processing submodule, a humidity feedback processing submodule, and a disturbance level matching submodule. The wind speed signal processing submodule reads the cold mirror temperature control power-on instruction set and collects the wind speed signal from the air outlet. It calls the set disturbance wind speed limit value, calculates the difference between the current wind speed signal value and the limit value, records the absolute value of the difference and extracts its positive and negative direction status, combines the difference amplitude and direction to construct wind speed disturbance evaluation parameters, and generates wind speed disturbance index value. Before reading the cold mirror temperature control power-on command set [0xA1,0x01,0x00,0xE1,0x83] and preparing to send it to the power driver board, the signal from the thermistor located at the device's air outlet is prioritized to obtain the current wind speed. Call a predefined disturbance wind speed limit value The threshold value was set through experiments in a wind tunnel, which revealed that when the wind speed exceeds a certain threshold... At that time, the standard deviation of the random fluctuation of the surface temperature of the cold mirror will exceed The stable control objective, therefore As the critical point for disturbance judgment, the current wind speed signal value is used. With this boundary value Perform the difference calculation to obtain Record the absolute value of the difference. It extracts the positive and negative states as positive and combines the difference amplitude. With the positive state, through a transition function This process converts unitary physical quantities into dimensionless evaluation values, constructs wind speed disturbance evaluation parameters, and generates wind speed disturbance index values. .

[0038] The humidity feedback processing submodule collects the humidity feedback value inside the cold mirror shell based on the wind speed disturbance index value, calls the set humidity fluctuation boundary value, calculates the difference between the current humidity value and the upper and lower boundary values ​​respectively, extracts the difference amplitude and adds it to the wind speed disturbance index value to obtain the cumulative disturbance impact value, establishes the query path between this value and the disturbance level range, and generates the cumulative disturbance amplitude value. Based on the generated wind speed disturbance index values Immediately collect the feedback value from the humidity sensor inside the cold mirror housing to obtain the current humidity. It calls the pre-set humidity fluctuation boundary value, which is set with reference to the humidity data of the equipment operating for a long time under standard conditions, and its average value is... The standard deviation is Take twice the standard deviation As the range of fluctuation, the upper boundary is therefore set as The lower boundary is The current humidity value Calculate the difference between the upper and lower boundary values ​​respectively; the difference with the upper boundary is... The difference has exceeded the upper boundary; extract the magnitude of this difference. And it is also dimensionless, and the humidity disturbance index is calculated as follows: Subsequently, with wind speed disturbance index values Perform the addition operation to obtain the cumulative impact value of the disturbance. Establish a query path between this value and subsequent disturbance level ranges, and generate the cumulative disturbance magnitude value.

[0039] The disturbance level matching submodule, based on the cumulative disturbance amplitude value, calls the list of boundary values ​​for the segmented intervals of the disturbance level, performs interval judgment processing on the value and the upper and lower limits of each segment boundary, locates the disturbance level position to which it belongs, and generates the temperature control disturbance impact classification number by combining the corresponding classification identifier with the structure encoding of the level index table. Based on the generated cumulative disturbance amplitude value The system retrieves a list of disturbance level segmentation interval boundary values ​​stored in the system configuration. The list, as shown in Table 2, is divided into intervals based on extensive experimental data and analysis of the probability distribution of system runaway risk under different cumulative disturbance values. Interval judgment processing is performed on the upper and lower limits of each segment boundary. First, the interval judgment is performed. Is it in If the interval is not found, then perform another judgment. Is it in If the interval is not found, continue the evaluation. Is it in The interval is determined, and the result is "yes". Therefore, the disturbance level is located as "medium disturbance". Based on the level index table structure, "medium disturbance" is encoded as the corresponding classification identifier "D2" to generate the temperature control disturbance impact classification number.

[0040] Table 2: Definition of Disturbance Level Ranges

[0041] As shown in Table 2, this table defines four disturbance levels to quantify the degree to which the system is currently affected by environmental disturbances.

[0042] The current output command generation module includes a rule parameter extraction submodule, a rhythm structure splicing submodule, and a cycle time alignment submodule. The rule parameter extraction submodule searches for the power-on timing rule group corresponding to the temperature control disturbance impact classification number, extracts the three basic parameters associated with the current task cycle in the rule group, namely the current start duration, current on / off frequency and conduction cycle, constructs a three-parameter independent value structure, and obtains the power-on rule parameter set. Based on the temperature control disturbance impact classification number "D2", the system's power-on timing rule base is searched using this index. The corresponding power-on timing rule group is located. This rule group represents a pre-set control strategy designed to handle moderate-intensity disturbances. Its parameters are optimized through simulation and field testing to ensure the fastest possible recovery to stability under this disturbance level. The current-start duration associated with the current task cycle is extracted from this rule group. The frequency of current switching is and the conduction cycle (i.e., duty cycle) are These three basic parameters {duration: 30, frequency: 20, beat: 60} are used to construct an independent data structure, resulting in the power-on rule parameter set.

[0043] The rhythm structure splicing submodule extracts the timing fields of three parameters based on the power-on rule parameter set. It splices the current start duration, current on / off frequency and conduction beat in chronological order to construct a power-on rhythm structure containing the beat timing sequence, and obtains the spliced ​​power-on timing value. Based on the obtained power-on rule parameter set containing {duration: 30, frequency: 20, beat: 60}, the specific timing field values ​​of the three parameters are extracted, and the current-start duration is determined. Current switching frequency and conduction rhythm The fields are concatenated in the order of "startup parameters - cycle parameters - duty cycle parameters". This concatenation is not a string concatenation, but a structured data sequence, such as (30,20,60). This sequence is parsed in the control program to construct a power-on rhythm structure containing a clear beat timing sequence, and the concatenated power-on timing value is obtained.

[0044] The cycle time alignment submodule calls the splicing power-on timing value, collects the current dew point target maintenance cycle parameter value, aligns the splicing timing with the cycle parameter execution time, extracts the range of available power-on segments within the cycle, establishes the correspondence between the power-on segment index and the rhythm, and generates the cold mirror temperature control output control command. The system invokes a spliced ​​power-on timing sequence containing timing values ​​(30, 20, 60), and simultaneously acquires the dew point target retention period parameter value set by the current system. To align the splicing timing with the execution time of the periodic parameter, first, execute a... Initial conduction, remaining cycle duration is Then, in the remaining Internal application frequency is (i.e., the period is) ) and duty cycle are The pulse width modulation (PWM) signal means that each During the sub-cycle, the energizing time is The power outage time is ,exist It can be fully executed within the specified time. One complete PWM cycle, remaining These 9 cycles plus the initial Constructing a range of usable energized segments, establishing these energized segments (1 Fragments and 9 The correspondence between the execution index of a segment and the preset rhythm (derived from timing values) is ultimately generated, creating a detailed, microsecond-precision definition of the sequence. The binary instruction sequence of the on and off states at each moment within the cycle is used to obtain the cold mirror temperature control output control command.

[0045] Please see Figure 3 A smart temperature control method based on a high-precision cold mirror dew point meter includes the following steps: S1: Obtain the actual temperature reading and set dew point temperature at the front end of the heating element of the cold mirror panel, call the original output signal of the heating element temperature measurement node, perform single-point difference processing on it and the target temperature, compare the difference with the four preset temperature difference boundary values, determine the segment according to the interval where the difference is located, generate a segment number based on the direction of temperature change of the cold mirror surface, and add a directional mark, and record the mark as the dew point adjustment segment number. S2: Based on the dew point adjustment section number, call the output signals of three temperature measurement points in the same cycle, calculate the time difference between each signal time point and the cycle synchronization reference point, filter out the signal set with close time, perform absolute difference calculation on the signals in the set and the set dew point target value, sort them in ascending order of difference, extract the signal with the smallest difference, and obtain the main temperature signal used for adjustment. S3: Based on the main temperature signal used for adjustment, find the corresponding output power curve segment number of the temperature difference section, obtain the power value of the current output state of the cold mirror and the number position, calculate the offset direction of the current state and the power value, adjust the output power section direction, find the target power amplitude according to the current state, and generate the cold mirror temperature control power-on instruction set. S4: Read the cold mirror temperature control power-on command set, collect the wind speed signal and the humidity feedback value inside the cold mirror shell, subtract the wind speed value from the set disturbance wind speed limit value, calculate the difference between the humidity value and the set humidity fluctuation boundary, sum the differences between the wind speed and humidity, determine the disturbance level range, and generate a temperature control disturbance impact classification number. S5: Based on the temperature control disturbance impact classification number, find the corresponding power-on timing rule group, read the current start duration, on / off frequency and conduction cycle from the rule group, perform sequential splicing operation, align the spliced ​​timing structure with the dew point target holding period, and generate the cold mirror temperature control output control command available for the current task cycle.

[0046] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. An intelligent temperature control system based on a high-precision cold mirror dew point meter, characterized in that, The system includes: The cold mirror temperature difference positioning module obtains the difference between the actual temperature reading at the front end of the cold mirror panel heating element and the set dew point temperature. After calculating the temperature difference value, it compares it with four sets of boundary temperature differences in sequence, determines the interval and records its positive and negative directions, organizes the interval number and direction combination identifier, and generates the dew point adjustment section number. The main signal selection module extracts three temperature signals within the same period according to the dew point adjustment section number, compares the difference between their sampling time and the reference point, selects the signal set with the closest time, calculates the difference between each point in the set and the dew point target value, selects the one with the smallest difference, and outputs the main temperature signal for adjustment. The power response matching module compares the current output with the preset power response level based on the main temperature signal used for adjustment, determines the offset direction, corrects the power amplitude according to the matching direction, selects the corresponding power-on output combination, and generates a cold mirror temperature control power-on command set. The interference airflow identification module reads the cold mirror temperature control power-on command set and collects wind speed and humidity data. It compares the wind speed value with the disturbance boundary, and then compares the humidity value with the fluctuation limit. The difference between the two values ​​is superimposed to determine the level and form a temperature control disturbance impact classification number.

2. The intelligent temperature control system based on a high-precision cold mirror dew point meter according to claim 1, characterized in that: The dew point adjustment section number includes a temperature difference section identifier, a temperature change direction code, and an adjustment index code. The main temperature signal used for adjustment includes a signal channel number, a target temperature difference reference value, and a synchronous sampling time stamp. The cold mirror temperature control power-on instruction set includes a power output level, a conduction channel number, and a control cycle node. The temperature control disturbance impact classification number includes a rheumatic superposition level, a disturbance status number, and a disturbance type identifier.

3. The intelligent temperature control system based on a high-precision cold mirror dew point meter according to claim 1, characterized in that, The cold mirror temperature difference positioning module includes a temperature difference extraction submodule, a difference attribution submodule, and a numbering and identification submodule; The temperature difference extraction submodule obtains the difference between the actual temperature reading at the front end of the heating element of the cold mirror panel and the set dew point temperature, calls the original output signal of the heating element temperature measurement node, performs single-point difference processing on the original output signal and the set dew point temperature, obtains the difference value, performs a numerical recording operation on it, and generates temperature difference data. The difference attribution submodule, based on the temperature difference data, calls the four sets of boundary values ​​of the cold mirror temperature difference interval, and judges the difference value with the upper and lower limits of each set of temperature difference boundary values ​​one by one. By judging the interval position of the difference, the interval number value is obtained and the interval number data is generated. The numbering and identification submodule, based on the interval numbering data, calls the current heating or cooling status data of the cold mirror surface, assigns an additional directional identification code to the existing interval numbering value based on the status information, performs a directional identification number splicing operation, obtains the numbering and identification content that can be used for subsequent control module adjustment index, and obtains the dew point adjustment section number.

4. The intelligent temperature control system based on a high-precision cold mirror dew point meter according to claim 1, characterized in that, The main signal selection module includes a signal filtering submodule, a time classification submodule, a difference sorting submodule, and a main signal extraction submodule. The signal filtering submodule calls the output signals of three temperature measuring points within the same cycle according to the dew point adjustment section number, obtains the timestamp data of each measuring point signal, collects the synchronization reference time point within the current cycle, subtracts the timestamps of the three measuring points from the reference time point respectively, calculates the time difference, and determines whether it is within the set time proximity judgment interval. For the measuring point signals that meet the judgment conditions, a set operation is performed to obtain the time proximity signal set. The time classification submodule extracts the corresponding temperature value data and dew point target value of each signal in the set based on the time proximity signal set. It performs absolute difference calculation on the temperature value and the dew point target value respectively, establishes a correspondence between the difference value of each signal and the signal number, and generates an absolute difference list. The difference sorting submodule calls the absolute difference list, sorts all signal numbers in ascending order according to their corresponding difference values, extracts the first signal number based on the sorting result, establishes an index relationship between the number and the original signal, and obtains the preferred signal number value. The main signal extraction submodule extracts the original signal value of the corresponding measuring point as the temperature data required for the adjustment process based on the preferred signal number value, establishes a unique index of the temperature value in the current cycle, and obtains the main temperature signal value used for adjustment.

5. The intelligent temperature control system based on a high-precision cold mirror dew point meter according to claim 1, characterized in that, The power response matching module includes a curve segment positioning submodule, an offset direction judgment submodule, a power amplitude extraction submodule, and a power-on command generation submodule. The curve segment positioning submodule, based on the main temperature signal value used for adjustment, calls the corresponding number table between the current cycle dew point temperature difference segment and the power curve segment, looks up the power curve segment number corresponding to the segment where the main temperature signal is located, establishes an index relationship between the number and the power segment reference value, and obtains the target curve segment number. The offset direction determination submodule calls the target curve segment number, extracts its corresponding power reference value, collects the real-time power value under the current cold lens current output state, performs difference calculation on the reference power value and the current power value, determines the positive or negative direction of the difference to determine the offset trend, and obtains the power offset direction type. The power amplitude extraction submodule, based on the power offset direction type, calls the direction matching power amplitude sequence under the current current output state to find the target power amplitude point of the direction matching, and establishes an output amplitude index table in combination with the position identifier information of its segment to obtain the direction target power value; The power-on command generation submodule writes the power value into the control command structure based on the target power value in the direction, combines the power-on direction identifier bit and the power amplitude parameter to form a single-cycle control command body, and generates a set of power-on commands for temperature control of the cold mirror.

6. The intelligent temperature control system based on a high-precision cold mirror dew point meter according to claim 1, characterized in that, The interference airflow identification module includes a wind speed signal processing submodule, a humidity feedback processing submodule, and a disturbance level matching submodule. The wind speed signal processing submodule reads the cold mirror temperature control power-on instruction set and collects the wind speed signal from the air outlet. It calls the set disturbance wind speed limit value, calculates the difference between the current wind speed signal value and the limit value, records the absolute value of the difference and extracts its positive and negative direction status, combines the difference amplitude and direction to construct wind speed disturbance evaluation parameters, and generates wind speed disturbance index value. The humidity feedback processing submodule collects the humidity feedback value inside the cold mirror shell based on the wind speed disturbance index value, calls the set humidity fluctuation boundary value, calculates the difference between the current humidity value and the upper and lower boundary values ​​respectively, extracts the difference amplitude and adds it to the wind speed disturbance index value to obtain the cumulative disturbance impact value, establishes a query path between this value and the disturbance level range, and generates the cumulative disturbance amplitude value. The disturbance level matching submodule, based on the cumulative disturbance amplitude value, calls the list of boundary values ​​for the segmented intervals of the disturbance level, performs interval judgment processing on the value and the upper and lower limits of each segment boundary, locates the disturbance level position to which it belongs, and generates a temperature control disturbance impact classification number by combining the corresponding classification identifier with the structure encoding of the level index table.

7. The intelligent temperature control system based on a high-precision cold mirror dew point meter according to claim 1, characterized in that, The system also includes: The current output command generation module searches for the power-on timing rule group according to the temperature control disturbance influence classification number, extracts the power-on duration, frequency and cycle, splices them in sequence and synchronizes them with the cycle, integrates them into a single command output, and generates a cold mirror temperature control output control command. The temperature control output command for the cold mirror includes a current signal format, a conduction timing combination, and a periodic execution structure.

8. The intelligent temperature control system based on a high-precision cold mirror dew point meter according to claim 7, characterized in that, The current output command generation module includes a rule parameter extraction submodule, a rhythm structure splicing submodule, and a period time alignment submodule. The rule parameter extraction submodule searches for the power-on timing rule group corresponding to the temperature control disturbance influence classification number, extracts the three basic parameters associated with the current task cycle in the rule group, namely the current start duration, current on / off frequency and conduction cycle, constructs a three-parameter independent value structure, and obtains the power-on rule parameter set. The rhythm structure splicing submodule extracts the timing fields of three parameters based on the power-on rule parameter set, splices the current start duration, current on / off frequency and conduction beat in chronological order, constructs a power-on rhythm structure containing the beat timing sequence, and obtains the spliced ​​power-on timing value. The cycle time alignment submodule calls the spliced ​​power-on timing value, collects the current dew point target maintenance cycle parameter value, aligns the spliced ​​timing with the cycle parameter execution time, extracts the range of available power-on segments within the cycle, establishes the correspondence between the power-on segment index and the rhythm, and generates a cold mirror temperature control output control command.

9. The intelligent temperature control system based on a high-precision cold mirror dew point meter according to claim 1, characterized in that: The cold mirror temperature difference positioning module and the power response matching module establish a linkage update path. Based on the dew point adjustment section number and the actual temperature control response result in multiple consecutive control cycles, the adjustment success rate and error distribution are extracted, and a feedback parameter buffer is constructed. The feedback parameter buffer dynamically weights the target curve segment number and power offset direction type in the power response matching module to form a priority response rule table for subsequent periodic matching correction, thereby realizing real-time closed-loop adaptive correlation adjustment between temperature difference identification number and power control command.

10. A smart temperature control method based on a high-precision cold mirror dew point meter, characterized in that, The method, used in the intelligent temperature control system based on a high-precision cold mirror dew point meter as described in any one of claims 1-9, includes the following steps: S1: Obtain the actual temperature reading and set dew point temperature at the front end of the heating element of the cold mirror panel, call the original output signal of the heating element temperature measurement node, perform single-point difference processing on it and the target temperature, compare the difference with the four preset temperature difference boundary values, determine the segment according to the interval where the difference is located, generate a segment number based on the direction of temperature change of the cold mirror surface, and add a directional mark, and record the mark as the dew point adjustment segment number. S2: According to the dew point adjustment section number, call the output signals of three temperature measuring points in the same cycle, calculate the time difference between each signal time point and the cycle synchronization reference point, filter out the signal set with close time, perform absolute difference calculation on the signals in the set and the set dew point target value, sort them in ascending order of difference, extract the minimum difference signal, and obtain the main temperature signal used for adjustment. S3: Based on the main temperature signal used for adjustment, find the corresponding output power curve segment number of the temperature difference segment, obtain the power value of the current output state of the cold mirror and the number position, calculate the offset direction of the current state and the power value, adjust the output power segment direction, find the target power amplitude according to the current state, and generate a cold mirror temperature control power-on instruction set. S4: Read the cold mirror temperature control power-on command set, collect the wind speed signal and the humidity feedback value inside the cold mirror shell, subtract the wind speed value from the set disturbance wind speed limit value, calculate the difference between the humidity value and the set humidity fluctuation boundary, sum the differences between the wind speed and humidity, determine the disturbance level segment to which it belongs, and generate a temperature control disturbance impact classification number. S5: Based on the temperature control disturbance impact classification number, find the corresponding power-on timing rule group, read the current start duration, on / off frequency and conduction cycle from the rule group, perform sequential splicing operation, align the spliced ​​timing structure with the dew point target holding period, and generate the cold mirror temperature control output control command available for the current task cycle.

Images