A real-time temperature monitoring system and method for a refrigerated ice cream machine

Abstract

The application provides a refrigeration ice cream machine real-time temperature monitoring system and method, and belongs to the technical field of ice cream refrigerators. The system comprises a multi-stage temperature acquisition module, which is used to acquire raw material cylinder temperature data, freezing cylinder temperature data and discharge port temperature data of a target refrigeration ice cream machine; a temperature data processing module, which is used to construct a multi-stage temperature state data set of the target refrigeration ice cream machine; a multi-point operation data acquisition module, which is used to acquire operation parameters in the operation process of the target refrigeration ice cream machine; a refrigeration state analysis module, which is used to calculate raw material temperature control state coefficients, freezing refrigeration state coefficients and discharge temperature control state coefficients of the target refrigeration ice cream machine; and a quality monitoring module, which is used to construct a comprehensive temperature control evaluation coefficient. The application avoids misjudgment caused by judgment according to a single stage state, and improves the reliability of system-level temperature control monitoring.

Description

Technical Field

[0001] This invention relates to the field of ice cream refrigeration technology, and more specifically, to a real-time temperature monitoring system and method for ice cream refrigeration machines. Background Technology

[0002] Refrigeration ice cream machines are widely used in commercial catering establishments, chain cold drink stores, and food processing scenarios. They achieve stable production of ice cream products by storing ice cream ingredients at low temperatures, continuously freezing them, and discharging them in a quantitative manner. In actual operation, the taste, texture, and food safety of ice cream are highly dependent on temperature control, especially during the raw material storage stage, the freezing and refrigeration stage, and the discharging stage. The temperature at different locations will have a direct impact on the final product quality.

[0003] Existing temperature control systems for refrigerated ice cream machines mostly use single-point temperature sensors to monitor key components, primarily focusing on the set temperature of the freezing cylinder or the operating status of the compressor. They lack coordinated perception and comprehensive analysis of temperature changes in multiple areas and stages, such as the raw material cylinder, freezing cylinder, and discharge port. Furthermore, existing systems typically use fixed thresholds or simple logical judgments as control criteria, making it difficult to accurately reflect the true temperature control status of the equipment under different operating loads and refrigeration conditions. In addition, ice cream machines are also affected by various operating parameters during operation, such as changes in stirring load, refrigeration circuit pressure fluctuations, and refrigerant flow rate. These parameters have a strong coupling relationship with the temperature status, but existing technologies often separate temperature monitoring from operating parameter monitoring, lacking a unified data association mechanism, which makes it impossible to identify and accurately diagnose refrigeration anomalies in advance. Summary of the Invention

[0004] To overcome the above deficiencies, the present invention provides a real-time temperature monitoring system and method for a refrigerated ice cream machine that overcomes or at least partially solves the above technical problems.

[0005] This invention is implemented as follows: This invention provides a real-time temperature monitoring system for a refrigerated ice cream machine, comprising: The multi-level temperature acquisition module is used to install temperature sensors in the raw material cylinder, freezing cylinder and dispensing area of ​​the target refrigerated ice cream machine to collect real-time temperature data at the locations of the ice cream raw material storage stage, freezing and refrigeration stage and dispensing stage, and to obtain the raw material cylinder temperature data, freezing cylinder temperature data and dispensing port temperature data of the target refrigerated ice cream machine. The temperature data processing module is used to preprocess the temperature data of the raw material cylinder, freezing cylinder, and outlet of the target refrigerated ice cream machine, including removing abnormal noise data, smoothing the temperature data, and constructing a multi-level temperature status dataset of the target refrigerated ice cream machine. The multi-point operation data acquisition module is used to preprocess the multi-level temperature status data of the target refrigerated ice cream machine, and then continue to collect the operating parameters of the target refrigerated ice cream machine during operation, including the power fluctuation of the stirring motor, the suction pressure of the refrigeration circuit, the exhaust pressure of the refrigeration circuit, and the refrigerant mass flow rate. The operating parameters are then correlated and matched with the raw material cylinder temperature data, freezing cylinder temperature data, and outlet temperature data of the target refrigerated ice cream machine. The refrigeration status analysis module is used to collaboratively analyze the temperature data of the raw material cylinder, freezing cylinder, and outlet of the target refrigerated ice cream machine, and obtain the raw material cylinder temperature difference factor through deep machine learning calculations. Refrigeration cylinder temperature stability factor and discharge outlet temperature fluctuation factor Based on the operating parameters of the target refrigerated ice cream machine during operation, the raw material temperature control state coefficient of the target refrigerated ice cream machine was calculated. Refrigeration state coefficient and discharge temperature control coefficient ; The quality monitoring module is used to monitor the raw material temperature control status coefficient of the target refrigerated ice cream machine. Refrigeration state coefficient and discharge temperature control coefficient Correlation, construct a comprehensive temperature control evaluation coefficient And will integrate temperature control evaluation coefficient The refrigeration operation status of the target refrigerated ice cream machine is determined by comparing it with the temperature control assessment threshold LM.

[0006] In a preferred embodiment, the multi-level temperature acquisition module includes a raw material cylinder area temperature acquisition unit, a freezing cylinder area acquisition unit, and a discharge port area temperature acquisition unit. The raw material cylinder area temperature acquisition unit is used to collect the temperature status of the environment of the raw material in the raw material cylinder of the target refrigerated ice cream machine in real time. By installing a temperature sensor on the inner wall of the raw material cylinder of the target refrigerated ice cream machine, it is used to continuously sample the ambient temperature of the raw material during the raw material storage and waiting-to-freeze stages. During the acquisition process, the instantaneous temperature value in the raw material cylinder of the target refrigerated ice cream machine is obtained according to the preset sampling period, thereby obtaining the raw material cylinder temperature data of the target refrigerated ice cream machine. The freezing cylinder area acquisition unit is used to collect the temperature status of the raw materials in the freezing cylinder of the target refrigeration ice cream machine in real time during the freezing and refrigeration process. By setting a temperature sensor on the inner wall of the freezing cylinder of the target refrigeration ice cream machine, the temperature in the freezing cylinder is sampled according to a preset sampling period during the operation of the refrigeration ice cream machine to obtain the instantaneous temperature value of the freezing cylinder at the corresponding sampling time, and the instantaneous temperature value of the freezing cylinder is used as the freezing cylinder temperature data of the target refrigeration ice cream machine. The temperature acquisition unit for the outlet area is used to acquire the temperature of the outlet area of ​​the target refrigerated ice cream machine. By setting a temperature sensor at the outlet port, the temperature of the outlet area of ​​the target refrigerated ice cream machine is sampled according to a preset sampling period when the dispensing operation occurs, so as to obtain the instantaneous temperature value of the outlet of the target refrigerated ice cream machine at the corresponding sampling time, and the instantaneous temperature value of the outlet is used as the outlet temperature data of the target refrigerated ice cream machine.

[0007] In a preferred embodiment, the temperature data processing module includes a raw material cylinder temperature data processing unit, a freezing cylinder temperature data processing unit, and an outlet temperature data processing unit for the target refrigerated ice cream machine. The raw material cylinder temperature data processing unit of the target refrigerated ice cream machine is used to process the raw material cylinder temperature data of the target refrigerated ice cream machine, including: During the process of eliminating abnormal noise data, the continuity is judged based on the instantaneous temperature values ​​of the raw material cylinder at adjacent sampling times. When the difference between the temperature value at the current sampling time and the temperature value at the previous sampling time exceeds the preset change threshold, the current temperature value is judged as abnormal noise data and the abnormal noise data is eliminated. After removing abnormal noise data, the remaining raw material cylinder temperature data is smoothed. By weighting several effective temperature values ​​within a preset time window, the smoothed temperature value at the corresponding sampling time is obtained, thus obtaining the processed raw material cylinder temperature data of the target refrigeration ice cream machine. The freezing cylinder temperature data processing unit of the target refrigeration ice cream machine is used to process the freezing cylinder temperature data of the target refrigeration ice cream machine, including: In the process of identifying abnormal noise data, based on the continuous characteristics of the temperature change of the freezing cylinder, the instantaneous temperature values ​​of the freezing cylinder at adjacent sampling times are compared with trends. When a sudden change in the temperature change trend of a certain sampling time relative to several sampling times before and after is detected, the current temperature value is determined to be abnormal noise data and the current abnormal noise data is removed. After the abnormal noise data is processed, the freezing cylinder temperature data is smoothed. By applying a sliding window to the effective freezing cylinder temperature values ​​at several consecutive sampling times, the smoothed freezing cylinder temperature value is calculated, suppressing the instantaneous temperature fluctuation interference generated during the refrigeration operation, thereby obtaining the processed freezing cylinder temperature data of the target refrigeration ice cream machine. The outlet temperature data processing unit of the target refrigerated ice cream machine is used to process the outlet temperature data of the target refrigerated ice cream machine, including: During the process of eliminating abnormal noise data, the temperature data at the discharge port is segmented based on the discharge operation trigger signal. When the instantaneous temperature value at the discharge port is detected to have a jump exceeding the preset range within a single sampling period during the discharge operation phase, the current temperature value is determined to be abnormal noise data and the current abnormal noise data is eliminated. After the abnormal noise data is removed, the outlet temperature data is smoothed. By performing time-series weighted processing on the effective temperature values ​​obtained by continuous sampling during the discharging stage, the drastic temperature fluctuations caused by environmental exposure and material flow during the discharging process are reduced, thereby obtaining the processed outlet temperature data of the target refrigeration ice cream machine. Based on the processed raw material cylinder temperature data, freezing cylinder temperature data, and discharge port temperature data of the target refrigerated ice cream machine, a multi-level temperature status dataset of the target refrigerated ice cream machine is constructed.

[0008] In a preferred embodiment, the multi-point operation data acquisition module includes a stirring motor power fluctuation amplitude acquisition unit, a refrigeration circuit suction pressure value acquisition unit, a refrigeration circuit exhaust pressure value acquisition unit, a refrigerant mass flow rate value acquisition unit, and a matching unit; The stirring motor power fluctuation amplitude acquisition unit is used to set voltage and current sensors in the power supply circuit of the stirring motor of the target refrigerated ice cream machine to collect voltage and current signals during the operation of the stirring motor in real time. The voltage and current sensors acquire the instantaneous voltage and instantaneous current values ​​of the stirring motor within a preset sampling period, and calculate the instantaneous power value of the stirring motor at the corresponding sampling time based on the instantaneous voltage and instantaneous current values. After continuously collecting the instantaneous power values ​​of the stirring motor at several sampling times, the difference between the maximum and minimum power values ​​within a preset time window is calculated by statistical analysis of the instantaneous power values ​​of the stirring motor, which is used as the stirring motor power fluctuation amplitude of the target refrigerated ice cream machine. The refrigeration circuit suction pressure acquisition unit is used to install a pressure sensor at the compressor suction pipe position of the refrigeration circuit of the target refrigeration ice cream machine to detect the pressure on the suction side of the refrigeration circuit in real time. During the operation of the refrigeration ice cream machine, the pressure sensor collects the pressure signal in the suction pipe according to a preset sampling period. After signal conditioning and analog-to-digital conversion, the pressure signal is converted into a digital pressure signal. Based on the calibration parameters of the pressure sensor, the digital pressure signal is converted into the corresponding suction pressure value, thereby obtaining the suction pressure value of the refrigeration circuit of the target refrigeration ice cream machine.

[0009] In a preferred embodiment, the refrigeration circuit exhaust pressure value acquisition unit is used to install a pressure sensor at the compressor exhaust pipe position of the refrigeration circuit of the target refrigeration ice cream machine to detect the pressure on the exhaust side of the refrigeration circuit in real time. During the operation of the refrigeration ice cream machine, the pressure sensor collects the pressure signal in the exhaust pipe according to a preset sampling period and converts the collected pressure signal into the corresponding exhaust pressure value. The exhaust pressure value is used as the refrigeration circuit exhaust pressure value of the target refrigeration ice cream machine. The refrigerant mass flow rate acquisition unit is used to install a refrigerant mass flow meter in the refrigeration circuit of the target refrigeration ice cream machine to monitor the refrigerant flowing in the refrigeration circuit in real time. Based on the flow characteristics of the refrigerant in the pipeline, the refrigerant mass flow meter collects the instantaneous flow signal of the refrigerant according to a preset sampling period, converts the flow signal into the corresponding refrigerant mass flow rate value, and uses the refrigerant mass flow rate value as the refrigerant mass flow rate value of the target refrigeration ice cream machine. The matching unit is used to assign corresponding sampling time identifiers to the target refrigerated ice cream machine's stirring motor power fluctuation amplitude, refrigeration circuit suction pressure value, refrigeration circuit exhaust pressure value, refrigerant mass flow rate value, and raw material cylinder temperature data, freezing cylinder temperature data, and outlet temperature data, respectively. Using the sampling time corresponding to any temperature data as a matching benchmark, a preset time window is constructed before and after the matching benchmark time. Within the time window, operating parameter data corresponding to the matching benchmark time is selected. When several operating parameter sampling values ​​exist within the time window, a representative operating parameter value within the corresponding time window is extracted based on the operating parameters. This representative operating parameter value is then combined with the raw material cylinder temperature data, freezing cylinder temperature data, and outlet temperature data of the target refrigerated ice cream machine corresponding to the matching benchmark time to form associated data characterizing the operating status of the refrigerated ice cream machine within the same operating period. This achieves the matching and association between the operating parameters and the raw material cylinder temperature data, freezing cylinder temperature data, and outlet temperature data of the target refrigerated ice cream machine.

[0010] In a preferred embodiment, the refrigeration status analysis module includes a raw material cylinder temperature difference factor calculation unit, a freezing cylinder temperature stability factor calculation unit, a discharge port temperature fluctuation factor calculation unit, a raw material temperature control status analysis unit, a freezing and refrigeration status analysis unit, and a discharge temperature control status analysis unit. The raw material cylinder temperature difference factor calculation unit is used to calculate the raw material cylinder temperature data based on the target refrigeration ice cream machine. Calculate the temperature difference factor of the raw material cylinder of the target refrigeration ice cream machine. ; In the formula, Let be the temperature value of the raw material cylinder at the i-th sampling time. The number of sampling points within the time window. This represents the average temperature of the raw material cylinder within the time window. The freezing cylinder temperature stability factor calculation unit is used to calculate the freezing cylinder temperature data of the target refrigeration ice cream machine. Calculate the temperature stability factor of the freezing cylinder of the target refrigeration ice cream machine. ; In the formula, Let be the temperature value of the refrigeration cylinder at the i-th sampling time. This represents the average temperature of the refrigeration cylinder within the time window. This represents the number of sampling points within the time window. The outlet temperature fluctuation factor calculation unit is used to calculate the outlet temperature based on the target refrigeration ice cream machine. Calculate the temperature fluctuation factor at the outlet of the target refrigeration ice cream machine. ; In the formula, Let be the outlet temperature value at the i-th sampling time. This represents the average temperature at the discharge port during the discharge phase. This represents the number of sampling points within the time window. The raw material temperature control status analysis unit is used to analyze the temperature difference factor of the raw material cylinder of the target refrigeration ice cream machine. The fluctuation range of the stirring motor power in the target refrigeration ice cream machine and the refrigerant mass flow rate value in the target refrigeration ice cream machine The raw material temperature control state coefficient of the target refrigerated ice cream machine is obtained through the following methods. ; First, based on the temperature difference factor of the raw material cylinder of the target refrigeration ice cream machine. Calculate the influence of raw material cylinder temperature uniformity ; ; Secondly, based on the power fluctuation range of the stirring motor in the target refrigeration ice cream machine Calculate the influence of stirring load on stability. ; ; Next, based on the refrigerant mass flow rate value in the target refrigeration ice cream machine Calculate the impact of cooling supply capacity ; ; Finally, based on the influence of raw material cylinder temperature uniformity Influence of stirring load stability And the impact of cooling supply capacity After normalization, the raw material temperature control state coefficient of the target refrigerated ice cream machine is calculated using the following formula. ; ; The raw material temperature control status analysis unit includes a first evaluation subunit, used to preset the raw material temperature control threshold QP, and to evaluate the raw material temperature control status coefficient of the target refrigeration ice cream machine. Comparison with the raw material temperature control threshold (QP), including: when When the value is greater than QP, it indicates that the target refrigerated ice cream machine has normal temperature control during the raw material stage and should maintain the current temperature parameters. when When the value is ≤QP, it indicates that the temperature control of the target refrigerated ice cream machine is abnormal during the raw material stage. It is necessary to make a proportional adjustment to the temperature control operating parameters related to the raw material stage. The adjustment range is 20%-50%, and after the proportional adjustment is completed, the temperature data of the raw material cylinder should be continuously monitored.

[0011] In a preferred embodiment, the refrigeration state analysis unit is used to analyze the refrigeration cylinder temperature stability factor of the target refrigeration ice cream machine. Refrigeration circuit suction pressure value Refrigeration circuit exhaust pressure value Refrigerant mass flow rate The freezing-cooling state coefficient of the target refrigeration ice cream machine is obtained through the following methods. ; First, utilize the suction pressure value of the refrigeration circuit of the target refrigeration ice cream machine. Refrigeration circuit exhaust pressure value Calculate the refrigeration pressure ratio ; ; Next, the refrigeration pressure ratio Refrigerant mass flow rate value of the target refrigeration ice cream machine Combined, and after normalization, the refrigeration coupling efficiency factor is calculated. ; In the formula, This is a reference value for refrigerant mass flow rate. The reference refrigeration pressure ratio is the preset or calibrated pressure ratio base value under the corresponding refrigeration conditions. Finally, the temperature stability factor of the freezing cylinder of the target refrigeration ice cream machine. Coupling efficiency factor with refrigeration Combined and normalized, the freezing-cooling state coefficient of the target refrigeration ice cream machine is calculated using the following formula. ; ; The freezing and refrigeration state analysis unit includes a second evaluation subunit, used to preset the freezing and refrigeration state threshold WT, and to evaluate the freezing and refrigeration state coefficient of the target ice cream machine. Comparison with the freezing / cooling state threshold WT, including: when When the value is greater than WT, it indicates that the target ice cream machine is experiencing a refrigeration abnormality during the freezing stage. The refrigeration intensity of the target ice cream machine needs to be adjusted proportionally by 10%-30% to reduce the freezing effect and bring the freezing state of the target ice cream machine back to the preset stable freezing temperature control range. After the adjustment, the freezing cylinder temperature data should be continuously monitored to determine whether the freezing state has returned to normal. when When the value is ≤WT, it indicates that the target refrigeration ice cream machine is operating normally during the freezing stage.

[0012] In a preferred embodiment, the discharge temperature control status analysis unit is used to analyze the discharge outlet temperature fluctuation factor of the target refrigeration ice cream machine. Refrigeration circuit exhaust pressure value Refrigerant mass flow rate The discharge temperature control status coefficient of the target refrigeration ice cream machine is obtained through the following methods. ; First, utilize the outlet temperature fluctuation factor of the target refrigeration ice cream machine. Calculate the influence of discharge temperature disturbance. ; ; Next, the exhaust pressure value of the refrigeration circuit of the target refrigeration ice cream machine is used. Refrigerant mass flow rate After normalization, the cooling recovery capacity index was calculated. ; In the formula, This is a reference value for refrigerant mass flow rate. This is the exhaust pressure reference value, which is the calibration pressure benchmark under the corresponding operating conditions; Finally, the impact of discharge temperature disturbance will be considered. With cooling recovery capacity index Combined and normalized, the discharge temperature control state coefficient of the target refrigeration ice cream machine is calculated using the following formula. ; ; The discharge temperature control status analysis unit includes a third evaluation subunit, used to preset the discharge temperature control status threshold TP, and to evaluate the discharge temperature control status coefficient of the target refrigeration ice cream machine. Comparison with the discharge temperature control threshold TP, including: when When >TP, it indicates that the temperature control of the target refrigerated ice cream machine is abnormal during the dispensing stage. The temperature at the dispensing position of the target refrigerated ice cream machine needs to be adjusted by 15%-35%. After the adjustment is completed, the temperature data at the dispensing port should be continuously monitored to determine whether the temperature control status during the dispensing stage has returned to the preset stable range. when When ≤TP, it indicates that the temperature control of the target refrigerated ice cream machine is normal during the dispensing stage.

[0013] In a preferred embodiment, the quality monitoring module includes an associated unit; The associated unit is used to set the raw material temperature control status coefficient of the target refrigerated ice cream machine. Refrigeration state coefficient and discharge temperature control coefficient The comprehensive temperature control evaluation coefficient is obtained by calculating the following formula. ; ; The associated unit includes a fourth evaluation subunit, used to preset the comprehensive temperature control evaluation threshold LM, and to set the comprehensive temperature control evaluation coefficient. Comparison with the comprehensive temperature control assessment threshold LM, including: when When the value is greater than LM, it indicates that the overall temperature control operation of the target refrigerated ice cream machine is abnormal. It is necessary to adjust the temperature control parameters related to the raw materials, freezing and discharging stages in a uniform ratio of 25%-60%. After the ratio adjustment is completed, the comprehensive temperature control evaluation coefficient should be continuously updated and monitored to determine whether the overall temperature control operation of the target refrigerated ice cream machine has returned to the preset stable range. when When the value is ≤LM, it indicates that the overall temperature control operation of the target refrigerated ice cream machine is normal.

[0014] In a preferred embodiment, a method for real-time temperature monitoring of a refrigerated ice cream machine includes: S1. First, temperature sensors are installed at the feeding position, freezing position and discharging position of the target refrigerated ice cream machine to monitor the temperature at the ice cream raw material storage stage, freezing and refrigeration stage and discharging stage in real time, and to obtain the raw material cylinder temperature data, freezing cylinder temperature data and discharging port temperature data of the target refrigerated ice cream machine. S2. Next, outlier values ​​are extracted and smoothed from the raw material cylinder temperature data, freezing cylinder temperature data, and outlet temperature data of the target refrigerated ice cream machine, and a multi-level temperature status dataset of the target refrigerated ice cream machine is constructed. S3. After constructing the multi-level temperature status dataset of the target refrigerated ice cream machine, continue to collect the operating parameters of the target refrigerated ice cream machine during operation, including the power fluctuation amplitude of the stirring motor, the suction pressure value of the refrigeration circuit, the exhaust pressure value of the refrigeration circuit, and the refrigerant mass flow rate value. S4. Correlate and match the fluctuation range of the stirring motor power, the suction pressure value of the refrigeration circuit, the exhaust pressure value of the refrigeration circuit, and the refrigerant mass flow rate value in the target refrigeration ice cream machine with the raw material cylinder temperature data, freezing cylinder temperature data, and outlet temperature data of the target refrigeration ice cream machine. S5. Based on the raw material cylinder temperature data, freezing cylinder temperature data, and outlet temperature data of the target refrigeration ice cream machine, construct the raw material cylinder temperature difference factor of the target refrigeration ice cream machine. Refrigeration cylinder temperature stability factor and discharge outlet temperature fluctuation factor Based on the fluctuation range of the stirring motor power, the suction pressure of the refrigeration circuit, the discharge pressure of the refrigeration circuit, and the refrigerant mass flow rate in the target refrigeration ice cream machine, the raw material temperature control state coefficient of the target refrigeration ice cream machine is calculated. Refrigeration state coefficient and discharge temperature control coefficient ; S6. Set the raw material temperature control coefficient of the target refrigerated ice cream machine. Refrigeration state coefficient and discharge temperature control coefficient Correlation, construct a comprehensive temperature control evaluation coefficient ; The present invention provides a real-time temperature monitoring system and method for a refrigerated ice cream machine, the beneficial effects of which include: 1. By installing temperature sensors in the raw material cylinder, freezing cylinder, and discharge port areas, the temperature status of different process stages such as raw material storage, freezing and refrigeration, and discharge is independently collected. This avoids the problem of incomplete temperature control information caused by relying on single-point or single-stage temperature monitoring, and improves the comprehensiveness and accuracy of the perception of the operating status of the ice cream refrigeration machine. The temperature data processing module performs abnormal noise removal and smoothing on the collected multi-level temperature data, effectively suppressing errors caused by instantaneous fluctuations of sensors or environmental interference. By collecting the power fluctuation amplitude of the stirring motor, the suction pressure value of the refrigeration circuit, the exhaust pressure value, and the refrigerant mass flow rate value, and performing time matching and correlation analysis on the operating parameters and multi-level temperature data, the evaluation of the refrigeration status no longer depends solely on temperature changes, but is based on a comprehensive judgment of the equipment's operating conditions, thus improving the accuracy of refrigeration anomaly identification.

[0015] 2. The refrigeration status analysis module performs collaborative analysis of multi-level temperature data and calculates the raw material temperature control status coefficient, freezing and refrigeration status coefficient, and discharge temperature control status coefficient in conjunction with operating parameters. This enables a quantitative description of the temperature control status at each key stage of the refrigeration ice cream machine, facilitating the differentiation and location of abnormal situations at different stages. By correlating the status coefficients of each stage, a comprehensive temperature control evaluation coefficient is constructed and compared with a preset threshold. This achieves a unified evaluation of the overall temperature control operation status of the refrigeration ice cream machine, avoiding misjudgments caused by judging based on only a single stage status and improving the reliability of system-level temperature control monitoring. Attached Figure Description

[0016] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained from these drawings without creative effort.

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

[0018] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] Example 1, referring to Figure 1 This invention provides a technical solution: a real-time temperature monitoring system for a refrigerated ice cream machine, comprising: The multi-level temperature acquisition module is used to install temperature sensors in the raw material cylinder, freezing cylinder and dispensing area of ​​the target refrigerated ice cream machine to collect real-time temperature data at the locations of the ice cream raw material storage stage, freezing and refrigeration stage and dispensing stage, and to obtain the raw material cylinder temperature data, freezing cylinder temperature data and dispensing port temperature data of the target refrigerated ice cream machine. The temperature data processing module is used to preprocess the temperature data of the raw material cylinder, freezing cylinder, and outlet of the target refrigerated ice cream machine, including removing abnormal noise data, smoothing the temperature data, and constructing a multi-level temperature status dataset of the target refrigerated ice cream machine. The multi-point operation data acquisition module is used to preprocess the multi-level temperature status data of the target refrigerated ice cream machine, and then continue to collect the operating parameters of the target refrigerated ice cream machine during operation, including the power fluctuation of the stirring motor, the suction pressure of the refrigeration circuit, the exhaust pressure of the refrigeration circuit, and the refrigerant mass flow rate. The operating parameters are then correlated and matched with the raw material cylinder temperature data, freezing cylinder temperature data, and outlet temperature data of the target refrigerated ice cream machine. The refrigeration status analysis module is used to collaboratively analyze the temperature data of the raw material cylinder, freezing cylinder, and outlet of the target refrigerated ice cream machine, and obtain the raw material cylinder temperature difference factor through deep machine learning calculations. Refrigeration cylinder temperature stability factor and discharge outlet temperature fluctuation factor Based on the operating parameters of the target refrigerated ice cream machine during operation, the raw material temperature control state coefficient of the target refrigerated ice cream machine was calculated. Refrigeration state coefficient and discharge temperature control coefficient ; The quality monitoring module is used to monitor the raw material temperature control status coefficient of the target refrigerated ice cream machine. Refrigeration state coefficient and discharge temperature control coefficient Correlation, construct a comprehensive temperature control evaluation coefficient And will integrate temperature control evaluation coefficient The refrigeration operation status of the target refrigerated ice cream machine is determined by comparing it with the temperature control assessment threshold LM.

[0020] In this embodiment, temperature sensors are installed in the raw material cylinder, freezing cylinder, and discharge port area to independently collect temperature data at different process stages, such as raw material storage, freezing and refrigeration, and discharge. This avoids the problem of incomplete temperature control information caused by relying on single-point or single-stage temperature monitoring, and improves the comprehensiveness and accuracy of the perception of the ice cream machine's operating status. The temperature data processing module performs abnormal noise removal and smoothing on the collected multi-level temperature data, effectively suppressing errors caused by instantaneous fluctuations in sensors or environmental interference, and constructing a stable multi-level temperature status dataset. This provides a reliable data foundation for subsequent refrigeration status analysis. By collecting the fluctuation amplitude of the stirring motor power, the suction pressure value of the refrigeration circuit, the exhaust pressure value, and the refrigerant mass flow rate value, and performing time matching and correlation analysis between the operating parameters and the multi-level temperature data, the assessment of the refrigeration status no longer relies solely on temperature changes, but rather on a comprehensive judgment based on the equipment's operating conditions, thereby improving the accuracy of refrigeration anomaly identification.

[0021] The refrigeration status analysis module performs collaborative analysis of multi-level temperature data and calculates the raw material temperature control status coefficient, freezing and refrigeration status coefficient, and discharge temperature control status coefficient in conjunction with operating parameters. This enables a quantitative description of the temperature control status at each key stage of the refrigeration ice cream machine, facilitating the differentiation and location of abnormal situations at different stages. By correlating the status coefficients of each stage, a comprehensive temperature control evaluation coefficient is constructed and compared with a preset threshold. This achieves a unified evaluation of the overall temperature control operation status of the refrigeration ice cream machine, avoiding misjudgments caused by judging based on only a single stage status and improving the reliability of system-level temperature control monitoring.

[0022] Example 2 is an explanation of Example 1; please refer to it. Figure 1 Specifically, the multi-level temperature acquisition module includes a raw material cylinder area temperature acquisition unit, a freezing cylinder area acquisition unit, and a discharge port area temperature acquisition unit. The raw material cylinder area temperature acquisition unit is used to collect the temperature status of the environment of the raw material in the raw material cylinder of the target refrigerated ice cream machine in real time. By installing a temperature sensor on the inner wall of the raw material cylinder of the target refrigerated ice cream machine, it is used to continuously sample the ambient temperature of the raw material during the raw material storage and waiting-to-freeze stages. During the acquisition process, the instantaneous temperature value in the raw material cylinder of the target refrigerated ice cream machine is obtained according to the preset sampling period, thereby obtaining the raw material cylinder temperature data of the target refrigerated ice cream machine. The freezing cylinder area acquisition unit is used to collect the temperature status of the raw materials in the freezing cylinder of the target refrigeration ice cream machine in real time during the freezing and refrigeration process. By setting a temperature sensor on the inner wall of the freezing cylinder of the target refrigeration ice cream machine, the temperature in the freezing cylinder is sampled according to a preset sampling period during the operation of the refrigeration ice cream machine to obtain the instantaneous temperature value of the freezing cylinder at the corresponding sampling time, and the instantaneous temperature value of the freezing cylinder is used as the freezing cylinder temperature data of the target refrigeration ice cream machine. The temperature acquisition unit for the outlet area is used to acquire the temperature of the outlet area of ​​the target refrigerated ice cream machine. By setting a temperature sensor at the outlet port, the temperature of the outlet area of ​​the target refrigerated ice cream machine is sampled according to a preset sampling period when the dispensing operation occurs, so as to obtain the instantaneous temperature value of the outlet of the target refrigerated ice cream machine at the corresponding sampling time, and the instantaneous temperature value of the outlet is used as the outlet temperature data of the target refrigerated ice cream machine.

[0023] In this embodiment, temperature sensors are installed in the raw material cylinder, freezing cylinder, and dispensing port areas to accurately monitor the temperature status of the target refrigerated ice cream machine at different process stages (i.e., raw material storage, freezing and refrigeration, and dispensing stages). This multi-level temperature acquisition scheme ensures real-time tracking of temperature changes at each stage, effectively avoiding the shortcomings of single-point temperature acquisition and improving the integrity and reliability of temperature control data. The temperature acquisition units in each area, by installing high-precision temperature sensors at key locations of the target refrigerated ice cream machine (such as the raw material cylinder, freezing cylinder, and dispensing port), can acquire temperature data in real time and continuously. During the raw material storage, freezing and refrigeration, and dispensing stages, the sensors acquire instantaneous temperature values ​​of each area according to a preset sampling period, ensuring the accuracy, real-time nature, and representativeness of the collected data, providing reliable data support for subsequent temperature control analysis.

[0024] By simultaneously monitoring and collecting data on the temperature of the raw material cylinder, freezing cylinder, and dispensing port, temperature fluctuations at each stage of the ice cream refrigeration process can be effectively monitored. This helps to quickly identify potential temperature control anomalies and make timely adjustments. This comprehensive monitoring solution can provide early warnings of potential equipment failures, reduce quality problems caused by temperature control anomalies, and improve product production stability. Employing a multi-level temperature acquisition and analysis system, it can quickly respond to any fluctuations during the refrigeration process based on temperature changes in the ice cream raw materials at different stages. Especially during the dispensing stage, high-frequency temperature sampling allows for real-time acquisition of temperature changes at the moment of dispensing, effectively analyzing the impact of temperature on ice cream quality and providing precise data for subsequent optimization of the dispensing system.

[0025] Example 3 is an explanation of Example 1; please refer to the provided text. Figure 1Specifically, the temperature data processing module includes a raw material cylinder temperature data processing unit, a freezing cylinder temperature data processing unit, and an outlet temperature data processing unit for the target refrigerated ice cream machine. The raw material cylinder temperature data processing unit of the target refrigerated ice cream machine is used to process the raw material cylinder temperature data of the target refrigerated ice cream machine, including: During the process of eliminating abnormal noise data, the continuity is judged based on the instantaneous temperature values ​​of the raw material cylinder at adjacent sampling times. When the difference between the temperature value at the current sampling time and the temperature value at the previous sampling time exceeds the preset change threshold, the current temperature value is judged as abnormal noise data and the abnormal noise data is eliminated. After removing abnormal noise data, the remaining raw material cylinder temperature data is smoothed. By weighting several effective temperature values ​​within a preset time window, the smoothed temperature value at the corresponding sampling time is obtained, thus obtaining the processed raw material cylinder temperature data of the target refrigeration ice cream machine. The freezing cylinder temperature data processing unit of the target refrigeration ice cream machine is used to process the freezing cylinder temperature data of the target refrigeration ice cream machine, including: In the process of identifying abnormal noise data, based on the continuous characteristics of the temperature change of the freezing cylinder, the instantaneous temperature values ​​of the freezing cylinder at adjacent sampling times are compared with trends. When a sudden change in the temperature change trend of a certain sampling time relative to several sampling times before and after is detected, the current temperature value is determined to be abnormal noise data and the current abnormal noise data is removed. After the abnormal noise data is processed, the freezing cylinder temperature data is smoothed. By applying a sliding window to the effective freezing cylinder temperature values ​​at several consecutive sampling times, the smoothed freezing cylinder temperature value is calculated, suppressing the instantaneous temperature fluctuation interference generated during the refrigeration operation, thereby obtaining the processed freezing cylinder temperature data of the target refrigeration ice cream machine. The outlet temperature data processing unit of the target refrigerated ice cream machine is used to process the outlet temperature data of the target refrigerated ice cream machine, including: During the process of eliminating abnormal noise data, the temperature data at the discharge port is segmented based on the discharge operation trigger signal. When the instantaneous temperature value at the discharge port is detected to have a jump exceeding the preset range within a single sampling period during the discharge operation phase, the current temperature value is determined to be abnormal noise data and the current abnormal noise data is eliminated. After the abnormal noise data is removed, the outlet temperature data is smoothed. By performing time-series weighted processing on the effective temperature values ​​obtained by continuous sampling during the discharging stage, the drastic temperature fluctuations caused by environmental exposure and material flow during the discharging process are reduced, thereby obtaining the processed outlet temperature data of the target refrigeration ice cream machine. Based on the processed raw material cylinder temperature data, freezing cylinder temperature data, and discharge port temperature data of the target refrigerated ice cream machine, a multi-level temperature status dataset of the target refrigerated ice cream machine is constructed.

[0026] In this embodiment, by setting temperature data processing units at each key stage (raw material cylinder, freezing cylinder, and dispensing port) of the target refrigerated ice cream machine, abnormal noise data is effectively removed and temperature data is smoothed, thereby ensuring that the collected temperature data is more accurate and stable. This avoids errors caused by environmental fluctuations and sensor interference in traditional systems. Multiple noise removal algorithms, such as outlier judgment based on temperature differences between adjacent sampling times and abrupt temperature trend identification, effectively identify and remove unreasonable abnormal data. Especially in the dispensing port temperature data, by correlating it with the dispensing operation trigger signal, noise caused by abnormal equipment operation or improper operation can be accurately identified, ensuring that only valid data is used for subsequent analysis. After noise data removal, the system smooths the remaining valid temperature data. Through weighted calculation and sliding window processing, instantaneous temperature fluctuations caused by equipment operation fluctuations or external environmental changes are effectively reduced, enhancing the stability of temperature control data. This smoothing method is particularly suitable for processing temperature data from the freezing cylinder and dispensing port, ensuring accurate tracking of temperature change trends and reducing short-term interference fluctuations.

[0027] Example 4 is an explanation of Example 1; please refer to the provided text. Figure 1 Specifically, the multi-point operation data acquisition module includes a stirring motor power fluctuation amplitude acquisition unit, a refrigeration circuit suction pressure value acquisition unit, a refrigeration circuit exhaust pressure value acquisition unit, a refrigerant mass flow rate value acquisition unit, and a matching unit; The stirring motor power fluctuation amplitude acquisition unit is used to set voltage and current sensors in the power supply circuit of the stirring motor of the target refrigerated ice cream machine to collect voltage and current signals during the operation of the stirring motor in real time. The voltage and current sensors acquire the instantaneous voltage and instantaneous current values ​​of the stirring motor within a preset sampling period, and calculate the instantaneous power value of the stirring motor at the corresponding sampling time based on the instantaneous voltage and instantaneous current values. After continuously collecting the instantaneous power values ​​of the stirring motor at several sampling times, the difference between the maximum and minimum power values ​​within a preset time window is calculated by statistical analysis of the instantaneous power values ​​of the stirring motor, which is used as the stirring motor power fluctuation amplitude of the target refrigerated ice cream machine. The refrigeration circuit suction pressure acquisition unit is used to install a pressure sensor at the compressor suction pipe position of the refrigeration circuit of the target refrigeration ice cream machine to detect the pressure on the suction side of the refrigeration circuit in real time. During the operation of the refrigeration ice cream machine, the pressure sensor collects the pressure signal in the suction pipe according to a preset sampling period. After signal conditioning and analog-to-digital conversion, the pressure signal is converted into a digital pressure signal. Based on the calibration parameters of the pressure sensor, the digital pressure signal is converted into the corresponding suction pressure value, thereby obtaining the suction pressure value of the refrigeration circuit of the target refrigeration ice cream machine.

[0028] In this embodiment, by setting voltage and current sensors in the power supply circuit of the stirring motor of the target refrigerated ice cream machine, the voltage and current signals during the operation of the stirring motor are synchronously collected, and the instantaneous power value of the stirring motor is calculated based on the collected instantaneous voltage and current values. This avoids the errors caused by traditional empirical estimation methods and improves the accuracy and real-time performance of the stirring motor's operating status. By statistically analyzing the continuously collected instantaneous power values ​​of the stirring motor within a preset time window, the difference between the maximum and minimum power values ​​is calculated as the power fluctuation amplitude of the stirring motor. This allows the load fluctuations caused by changes in the state of raw materials, the degree of freezing, or the mechanical resistance during the stirring process to be effectively quantified, thus providing a reliable basis for subsequent operating status analysis and anomaly identification. By setting a pressure sensor at the compressor suction pipe position in the refrigeration circuit, and performing signal conditioning and analog-to-digital conversion on the collected pressure signal to form a digital pressure signal, and then converting it into the corresponding suction pressure value in combination with the calibration parameters of the pressure sensor, interference in the analog signal transmission process can be effectively suppressed, improving the stability and accuracy of the suction pressure data of the refrigeration circuit.

[0029] Example 5 is an explanation of Example 1; please refer to it. Figure 1Specifically, the refrigeration circuit exhaust pressure value acquisition unit is used to install a pressure sensor at the compressor exhaust pipe position of the refrigeration circuit of the target refrigeration ice cream machine to detect the pressure on the exhaust side of the refrigeration circuit in real time. During the operation of the refrigeration ice cream machine, the pressure sensor collects the pressure signal in the exhaust pipe according to a preset sampling period and converts the collected pressure signal into the corresponding exhaust pressure value. The exhaust pressure value is used as the refrigeration circuit exhaust pressure value of the target refrigeration ice cream machine. The refrigerant mass flow rate acquisition unit is used to install a refrigerant mass flow meter in the refrigeration circuit of the target refrigeration ice cream machine to monitor the refrigerant flowing in the refrigeration circuit in real time. Based on the flow characteristics of the refrigerant in the pipeline, the refrigerant mass flow meter collects the instantaneous flow signal of the refrigerant according to a preset sampling period, converts the flow signal into the corresponding refrigerant mass flow rate value, and uses the refrigerant mass flow rate value as the refrigerant mass flow rate value of the target refrigeration ice cream machine. The matching unit is used to assign corresponding sampling time identifiers to the target refrigerated ice cream machine's stirring motor power fluctuation amplitude, refrigeration circuit suction pressure value, refrigeration circuit exhaust pressure value, refrigerant mass flow rate value, and raw material cylinder temperature data, freezing cylinder temperature data, and outlet temperature data, respectively. Using the sampling time corresponding to any temperature data as a matching benchmark, a preset time window is constructed before and after the matching benchmark time. Within the time window, operating parameter data corresponding to the matching benchmark time is selected. When several operating parameter sampling values ​​exist within the time window, a representative operating parameter value within the corresponding time window is extracted based on the operating parameters. This representative operating parameter value is then combined with the raw material cylinder temperature data, freezing cylinder temperature data, and outlet temperature data of the target refrigerated ice cream machine corresponding to the matching benchmark time to form associated data characterizing the operating status of the refrigerated ice cream machine within the same operating period. This achieves the matching and association between the operating parameters and the raw material cylinder temperature data, freezing cylinder temperature data, and outlet temperature data of the target refrigerated ice cream machine.

[0030] In this embodiment, a pressure sensor is installed at the compressor exhaust pipe location in the refrigeration circuit of the target ice cream refrigeration machine to detect the exhaust pressure of the refrigeration circuit in real time. The pressure signal in the exhaust pipe is collected according to a preset sampling period and converted into the corresponding exhaust pressure value, thereby accurately reflecting the operating status of the high-pressure side of the refrigeration system. This is beneficial for judging changes in refrigeration load, condensation heat exchange efficiency, and compressor operating conditions. By installing a refrigerant mass flow meter in the refrigeration circuit, the refrigerant flowing in the pipeline is monitored in real time. Based on the flow characteristics of the refrigerant, the instantaneous flow signal is collected and converted into a refrigerant mass flow value, so that the refrigerant delivery capacity in the refrigeration circuit is transformed from a qualitative judgment to a quantitative characterization. This provides direct data support for analyzing changes in refrigeration capacity and fluctuations in refrigeration efficiency. At the same time, the suction pressure value, exhaust pressure value, and refrigerant mass flow value of the refrigeration circuit are collected, so that the low-pressure side, high-pressure side, and refrigerant flow state of the refrigeration circuit are all covered. This can comprehensively reflect the working characteristics of the refrigeration system at different operating stages and avoid the one-sidedness of judgment caused by a single parameter.

[0031] By assigning sampling time identifiers to the fluctuation range of the stirring motor power, the suction pressure value of the refrigeration circuit, the exhaust pressure value of the refrigeration circuit, the mass flow rate value of the refrigerant, as well as the temperature data of the raw material cylinder, the temperature data of the freezing cylinder, and the temperature data of the discharge port, and using the sampling time of any temperature data as a matching benchmark to construct a preset time window, the operating parameters and temperature data can be effectively aligned on the same time scale, avoiding data mismatch problems caused by asynchronous sampling.

[0032] Example 6 is an explanation of Example 1; please refer to the provided text. Figure 1 Specifically, the refrigeration status analysis module includes a raw material cylinder temperature difference factor calculation unit, a freezing cylinder temperature stability factor calculation unit, a discharge port temperature fluctuation factor calculation unit, a raw material temperature control status analysis unit, a freezing and refrigeration status analysis unit, and a discharge temperature control status analysis unit. The raw material cylinder temperature difference factor calculation unit is used to calculate the raw material cylinder temperature data based on the target refrigeration ice cream machine. Calculate the temperature difference factor of the raw material cylinder of the target refrigeration ice cream machine. ; In the formula, The raw material cylinder temperature value at the i-th sampling time is obtained by searching through historical data. The number of sampling points within the time window. The average temperature of the raw material cylinder within the time window is calculated using historical data. The freezing cylinder temperature stability factor calculation unit is used to calculate the freezing cylinder temperature data of the target refrigeration ice cream machine. Calculate the temperature stability factor of the freezing cylinder of the target refrigeration ice cream machine. ; In the formula, The temperature value of the refrigeration cylinder at the i-th sampling time is obtained from the data acquisition. The average temperature of the refrigeration cylinder within the time window is calculated using historical data. This represents the number of sampling points within the time window. The outlet temperature fluctuation factor calculation unit is used to calculate the outlet temperature based on the target refrigeration ice cream machine. Calculate the temperature fluctuation factor at the outlet of the target refrigeration ice cream machine. ; In the formula, The outlet temperature value at the i-th sampling time is obtained from the data acquisition. The average temperature at the discharge port during the discharge stage is calculated using historical data. This represents the number of sampling points within the time window. The raw material temperature control status analysis unit is used to analyze the temperature difference factor of the raw material cylinder of the target refrigeration ice cream machine. The fluctuation range of the stirring motor power in the target refrigeration ice cream machine and the refrigerant mass flow rate value in the target refrigeration ice cream machine The raw material temperature control state coefficient of the target refrigerated ice cream machine is obtained through the following methods. ; First, based on the temperature difference factor of the raw material cylinder of the target refrigeration ice cream machine. Calculate the influence of raw material cylinder temperature uniformity ; ; Secondly, based on the power fluctuation range of the stirring motor in the target refrigeration ice cream machine Calculate the influence of stirring load on stability. ; ; Next, based on the refrigerant mass flow rate value in the target refrigeration ice cream machine Calculate the impact of cooling supply capacity ; ; Finally, based on the influence of raw material cylinder temperature uniformity Influence of stirring load stability And the impact of cooling supply capacity After normalization, the raw material temperature control state coefficient of the target refrigerated ice cream machine is calculated using the following formula. ; ; The following are the raw material temperature control status coefficients for the target refrigeration ice cream machine. The sample data table is shown below: ; The raw material temperature control status analysis unit includes a first evaluation subunit, which is used to preset the raw material temperature control threshold QP; Under normal temperature control conditions, data on the raw material cylinder temperature, stirring motor power fluctuation, and refrigerant mass flow rate were collected over multiple raw material processing cycles to calculate the corresponding raw material temperature control state coefficient. This forms a set of state samples. For the state sample set... Statistical analysis was conducted to obtain its normal operating range, and based on this, the value below the lower limit of the range was selected as the raw material temperature control threshold QP. And the raw material temperature control state coefficient of the target refrigeration ice cream machine Comparison with the raw material temperature control threshold (QP), including: when When the value is greater than QP, it indicates that the target refrigerated ice cream machine has normal temperature control during the raw material stage and should maintain the current temperature parameters. when When the value is ≤QP, it indicates that the temperature control of the target refrigerated ice cream machine is abnormal during the raw material stage. It is necessary to make a proportional adjustment to the temperature control operating parameters related to the raw material stage. The adjustment range is 20%-50%, and after the proportional adjustment is completed, the temperature data of the raw material cylinder should be continuously monitored.

[0033] Raw material temperature control state coefficient based on target refrigeration ice cream machine The following is a sample data table showing the raw material temperature control status coefficients for the target refrigeration ice cream machine. Example table of data comparing with the raw material temperature control threshold (QP); ; In this embodiment, by constructing a raw material cylinder temperature difference factor and calculating the deviation between the raw material cylinder temperature value and the average temperature at each sampling time within the time window, the uniformity of temperature distribution within the raw material cylinder is transformed from traditional experience-based judgment into a calculable and comparable quantitative indicator. This more accurately reflects the temperature control status during the raw material storage stage. By introducing a freezing cylinder temperature stability factor, the fluctuation of the freezing cylinder temperature during the freezing and refrigeration process is statistically analyzed and normalized using the average temperature as a benchmark. This provides a direct reflection of the temperature stability during the freezing process, which is beneficial for identifying fluctuations in refrigeration efficiency and potential refrigeration anomalies. By constructing a discharge port temperature fluctuation factor, the fluctuation of the discharge port temperature relative to the average value during the discharge stage is calculated. This effectively captures the temperature change characteristics of ice cream at the moment of discharge and under short-term exposure conditions, providing a reliable basis for evaluating the rationality of temperature control during the discharge stage.

[0034] In the process of raw material temperature control status analysis, the raw material cylinder temperature difference factor, the stirring motor power fluctuation amplitude, and the refrigerant mass flow rate are introduced simultaneously. The temperature control status of the raw material stage is comprehensively analyzed from three dimensions: temperature uniformity, stirring load stability, and refrigeration supply capacity. This avoids the judgment bias caused by a single temperature index. By calculating the influence of raw material cylinder temperature uniformity, stirring load stability, and refrigeration supply capacity respectively, the raw material temperature control status coefficient is obtained based on the above influences. This makes the formation process of the status coefficient clear and traceable, and enhances the correspondence between the analysis results and the actual operating conditions.

[0035] Example 7 is an explanation of Example 1; please refer to it. Figure 1 Specifically, the refrigeration state analysis unit is used to analyze the refrigeration cylinder temperature stability factor of the target refrigeration ice cream machine. Refrigeration circuit suction pressure value Refrigeration circuit exhaust pressure value Refrigerant mass flow rate The freezing-cooling state coefficient of the target refrigeration ice cream machine is obtained through the following methods. ; First, utilize the suction pressure value of the refrigeration circuit of the target refrigeration ice cream machine. Refrigeration circuit exhaust pressure value Calculate the refrigeration pressure ratio ; ; Next, the refrigeration pressure ratio Refrigerant mass flow rate value of the target refrigeration ice cream machine Combined, and after normalization, the refrigeration coupling efficiency factor is calculated. ; In the formula, This is a reference value for refrigerant mass flow rate, obtained based on historical data. The reference refrigeration pressure ratio is the preset or calibrated pressure ratio benchmark value under the corresponding refrigeration condition, which is obtained by searching historical data; Finally, the temperature stability factor of the freezing cylinder of the target refrigeration ice cream machine. Coupling efficiency factor with refrigeration Combined and normalized, the freezing-cooling state coefficient of the target refrigeration ice cream machine is calculated using the following formula. ; ; The following is the freezing and refrigeration state coefficient of the target refrigeration ice cream machine. The sample data table is shown below: Preset =0.1kg / s, =2.5; ; The refrigeration and cooling status analysis unit includes a second evaluation subunit, which is used to preset the refrigeration and cooling status threshold WT. When the refrigeration process is stable and the refrigeration cylinder temperature is within the preset refrigeration temperature control range, multiple sets of refrigeration cylinder temperature data, refrigeration circuit suction pressure value, refrigeration circuit discharge pressure value, and refrigerant mass flow rate value are collected, and the corresponding refrigeration state coefficient is calculated. Construct a set of normally operating samples during the freezing phase, and analyze the samples in the normally operating sample set. Statistical analysis was conducted to determine its stable distribution range, and values ​​higher than the upper limit of this stable range were selected as the refrigeration state threshold WT. And the freezing state coefficient of the target refrigeration ice cream machine Comparison with the freezing / cooling state threshold WT, including: when When the value is greater than WT, it indicates that the target ice cream machine is experiencing a refrigeration abnormality during the freezing stage. The refrigeration intensity of the target ice cream machine needs to be adjusted proportionally by 10%-30% to reduce the freezing effect and bring the freezing state of the target ice cream machine back to the preset stable freezing temperature control range. After the adjustment, the freezing cylinder temperature data should be continuously monitored to determine whether the freezing state has returned to normal. when When the value is ≤WT, it indicates that the target refrigeration ice cream machine is operating normally during the freezing stage.

[0036] Based on the freezing and refrigeration state coefficient of the target refrigeration ice cream machine The following is a sample data table showing the freezing and refrigeration state coefficients of the target refrigeration ice cream machine. Example table of data comparing with the freezing / cooling state threshold WT; ; In this embodiment, by introducing the refrigeration cylinder temperature stability factor, the refrigeration circuit suction pressure value, the refrigeration circuit discharge pressure value, and the refrigerant mass flow rate value, the refrigeration state during the freezing stage is analyzed from multiple dimensions. This avoids relying solely on a single temperature index to judge the refrigeration effect, thereby improving the accuracy of the refrigeration state assessment. By calculating the refrigeration circuit suction pressure value and discharge pressure value, the refrigeration pressure ratio is obtained, which provides a direct representation of the compressor operating load and refrigeration circuit conditions. This provides a reliable physical basis for analyzing the refrigeration system's operating efficiency and refrigeration intensity. The refrigeration pressure ratio and the refrigerant mass flow rate value are normalized and coupled to construct a refrigeration coupling efficiency factor, enabling the refrigeration system's cooling capacity supply capacity and compressor load state to be reflected in a coordinated manner. This effectively avoids the misjudgment problems that may occur when using pressure or flow rate parameters alone. By multiplying the refrigeration cylinder temperature stability factor and the refrigeration coupling efficiency factor, the refrigeration state coefficient is obtained. This ensures that the final state coefficient is simultaneously constrained by temperature fluctuations and the refrigeration system's operating efficiency, guaranteeing that the assessment results are highly consistent with the actual refrigeration effect.

[0037] Example 8 is an explanation of Example 1; please refer to it. Figure 1 Specifically, the discharge temperature control status analysis unit is used to analyze the temperature fluctuation factor at the discharge port of the target refrigeration ice cream machine. Refrigeration circuit exhaust pressure value Refrigerant mass flow rate The discharge temperature control status coefficient of the target refrigeration ice cream machine is obtained through the following methods. ; First, utilize the outlet temperature fluctuation factor of the target refrigeration ice cream machine. Calculate the influence of discharge temperature disturbance. ; ; Next, the exhaust pressure value of the refrigeration circuit of the target refrigeration ice cream machine is used. Refrigerant mass flow rate After normalization, the cooling recovery capacity index was calculated. ; In the formula, This is a reference value for refrigerant mass flow rate. This is the exhaust pressure reference value, which is the calibration pressure benchmark under the corresponding operating conditions; Finally, the impact of discharge temperature disturbance will be considered. With cooling recovery capacity index Combined and normalized, the discharge temperature control state coefficient of the target refrigeration ice cream machine is calculated using the following formula. ; ; The following are the discharge temperature control status coefficients for the target refrigeration ice cream machine. The sample data table is shown below: Preset =0.1kg / s, =1MPa; ; The discharge temperature control status analysis unit includes a third evaluation subunit, which is used to preset the discharge temperature control status threshold TP. Under the conditions of continuous discharge process, discharge outlet temperature fluctuation within the preset allowable range, and stable finished product taste, multiple sets of discharge outlet temperature data, refrigeration circuit exhaust pressure value, and refrigerant mass flow rate value are collected, and the corresponding discharge temperature control state coefficient is calculated. Construct a normal operation sample set during the material discharge stage, and analyze the samples in the normal operation sample set. Statistical analysis was performed to extract its stable distribution range, and values ​​exceeding the upper limit of this stable range were set as the discharge temperature control threshold TP. And the discharge temperature control coefficient of the target refrigeration ice cream machine Comparison with the discharge temperature control threshold TP, including: when When >TP, it indicates that the temperature control of the target refrigerated ice cream machine is abnormal during the dispensing stage. The temperature at the dispensing position of the target refrigerated ice cream machine needs to be adjusted by 15%-35%. After the adjustment is completed, the temperature data at the dispensing port should be continuously monitored to determine whether the temperature control status during the dispensing stage has returned to the preset stable range. when When ≤TP, it indicates that the temperature control of the target refrigerated ice cream machine is normal during the dispensing stage.

[0038] Based on the discharge temperature control state coefficient of the target refrigeration ice cream machine The following is a sample data table showing the discharge temperature control status coefficient of the target refrigeration ice cream machine. Example table comparing data with the discharge temperature control threshold TP; ; In this embodiment, the discharge stage is separated from the raw material stage and the freezing stage. By jointly analyzing the discharge port temperature fluctuation factor and the operating parameters of the refrigeration system, the temperature control status during the instant of discharge and short-term exposure is specifically evaluated. This avoids the temperature control problems in the discharge stage being masked by the overall temperature control evaluation. The discharge port temperature fluctuation factor is used to calculate the impact of discharge temperature disturbance, so that the temperature disturbance caused by environmental exposure, material flow or discharge action during the discharge process can be quantitatively expressed, improving the ability to identify discharge temperature instability problems. The exhaust pressure value and refrigerant mass flow rate value of the refrigeration circuit are normalized and calculated to construct the refrigeration recovery capacity index, so that the strength of the refrigeration system's temperature stabilization ability after the discharge load changes can be objectively reflected, avoiding the judgment lag caused by relying solely on the discharge port temperature data. By combining the impact of discharge temperature disturbance with the refrigeration recovery capacity index, the discharge temperature control status coefficient is obtained, so that the evaluation results simultaneously consider the degree of temperature fluctuation and the system compensation capability, improving the comprehensiveness and reliability of the discharge temperature control status judgment.

[0039] By comparing the discharge temperature control coefficient with the preset threshold, abnormal temperature control during the discharge stage can be identified in a timely manner, avoiding quality problems such as poor ice cream taste, unstable shaping, or surface melting caused by uncontrolled discharge temperature.

[0040] Example 9, this example is an explanation of Example 1, please refer to it. Figure 1 Specifically, the quality monitoring module includes associated units; The associated unit is used to set the raw material temperature control status coefficient of the target refrigerated ice cream machine. Refrigeration state coefficient and discharge temperature control coefficient The comprehensive temperature control evaluation coefficient is obtained by calculating the following formula. ; ; The following are comprehensive temperature control evaluation coefficients. The sample data table is shown below: ; The associated unit includes a fourth evaluation subunit, used to preset the comprehensive temperature control evaluation threshold LM; Under the condition that the raw material stage, freezing stage, and discharge stage are all under normal temperature control, and that the corresponding raw material temperature control state coefficient, freezing and refrigeration state coefficient, and discharge temperature control state coefficient all meet their respective threshold requirements, multiple sets of operational data are collected, and the corresponding comprehensive temperature control evaluation coefficient is calculated to construct a sample set of overall normal temperature control. The data within this sample set are then analyzed. Statistical analysis was performed to extract its stable distribution range, and values ​​exceeding the upper limit of this stable range were set as the comprehensive temperature control evaluation threshold LM. The comprehensive temperature control evaluation coefficient will be used. Comparison with the comprehensive temperature control assessment threshold LM, including: when When the value is greater than LM, it indicates that the overall temperature control operation of the target refrigerated ice cream machine is abnormal. It is necessary to adjust the temperature control parameters related to the raw materials, freezing and discharging stages in a uniform ratio of 25%-60%. After the ratio adjustment is completed, the comprehensive temperature control evaluation coefficient should be continuously updated and monitored to determine whether the overall temperature control operation of the target refrigerated ice cream machine has returned to the preset stable range. when When the value is ≤LM, it indicates that the overall temperature control operation of the target refrigerated ice cream machine is normal.

[0041] Based on comprehensive temperature control evaluation coefficient The following is a sample data table showing the comprehensive temperature control evaluation coefficients. Example table of data comparing the comprehensive temperature control evaluation threshold LM; ; In this embodiment, a comprehensive temperature control evaluation coefficient is constructed by correlating and calculating the raw material temperature control state coefficient, the freezing and refrigeration state coefficient, and the discharge temperature control state coefficient. This allows the temperature control state of the ice cream machine at different operating stages to be uniformly mapped to the same evaluation scale, avoiding the problem of good temperature control in a single stage but overall operational imbalance. The comprehensive evaluation is performed by multiplying the raw material, freezing, and discharge temperature control state coefficients, ensuring that any abnormality in the temperature control state at any stage will significantly affect the comprehensive temperature control evaluation coefficient. This amplifies the impact of local anomalies on the overall evaluation results, improves the system's sensitivity to identifying key weak points, and accurately distinguishes between local fluctuations and overall temperature control imbalance by comparing the comprehensive temperature control evaluation coefficient with a preset threshold. This avoids misjudging the system's operating state due to short-term anomalies in a single parameter, improving the reliability of the overall temperature control operating state determination.

[0042] Example 10: This example is an explanation of Example 1. Please refer to the provided text. Figure 2 Specifically, a method for real-time temperature monitoring of a refrigerated ice cream machine includes: S1. First, temperature sensors are installed at the feeding position, freezing position and discharging position of the target refrigerated ice cream machine to monitor the temperature at the ice cream raw material storage stage, freezing and refrigeration stage and discharging stage in real time, and to obtain the raw material cylinder temperature data, freezing cylinder temperature data and discharging port temperature data of the target refrigerated ice cream machine. S2. Next, outlier values ​​are extracted and smoothed from the raw material cylinder temperature data, freezing cylinder temperature data, and outlet temperature data of the target refrigerated ice cream machine, and a multi-level temperature status dataset of the target refrigerated ice cream machine is constructed. S3. After constructing the multi-level temperature status dataset of the target refrigerated ice cream machine, continue to collect the operating parameters of the target refrigerated ice cream machine during operation, including the power fluctuation amplitude of the stirring motor, the suction pressure value of the refrigeration circuit, the exhaust pressure value of the refrigeration circuit, and the refrigerant mass flow rate value. S4. Correlate and match the fluctuation range of the stirring motor power, the suction pressure value of the refrigeration circuit, the exhaust pressure value of the refrigeration circuit, and the refrigerant mass flow rate value in the target refrigeration ice cream machine with the raw material cylinder temperature data, freezing cylinder temperature data, and outlet temperature data of the target refrigeration ice cream machine. S5. Based on the raw material cylinder temperature data, freezing cylinder temperature data, and outlet temperature data of the target refrigeration ice cream machine, construct the raw material cylinder temperature difference factor of the target refrigeration ice cream machine. Refrigeration cylinder temperature stability factor and discharge outlet temperature fluctuation factor Based on the fluctuation range of the stirring motor power, the suction pressure of the refrigeration circuit, the discharge pressure of the refrigeration circuit, and the refrigerant mass flow rate in the target refrigeration ice cream machine, the raw material temperature control state coefficient of the target refrigeration ice cream machine is calculated. Refrigeration state coefficient and discharge temperature control coefficient ; S6. Set the raw material temperature control coefficient of the target refrigerated ice cream machine. Refrigeration state coefficient and discharge temperature control coefficient Correlation, construct a comprehensive temperature control evaluation coefficient .

[0043] In this embodiment, temperature sensors are installed at the feeding, freezing, and discharging positions to collect real-time temperatures throughout the entire process of raw material storage, freezing and refrigeration, and discharging. This avoids information gaps caused by monitoring only a single position and makes temperature monitoring more consistent with the actual process flow of the ice cream machine. By removing outliers and smoothing the collected raw material cylinder temperature data, freezing cylinder temperature data, and discharging port temperature data, the impact of sensor noise, transient interference, and environmental fluctuations on temperature data is effectively reduced. This provides stable and reliable basic data for subsequent analysis. The processed temperature data from different process stages are uniformly organized to form a multi-level temperature status dataset, enabling the temperature status of the ice cream machine at different operating stages to be systematically described and providing data support for refined temperature control analysis.

[0044] Based on the temperature data, further data such as the power fluctuation amplitude of the stirring motor, the suction pressure value of the refrigeration circuit, the exhaust pressure value, and the refrigerant mass flow rate value are collected. This ensures that the monitoring content not only reflects the temperature status but also the operating status of the refrigeration system and machinery, thus improving the completeness of the monitoring dimensions. By correlating and matching the operating parameters with the corresponding temperature data, the temperature changes can correspond to specific operating conditions, avoiding the problem of being unable to locate the cause of temperature control anomalies due to isolated analysis of temperature data. By constructing the raw material cylinder temperature difference factor, the freezing cylinder temperature stability factor, and the discharge port temperature fluctuation factor, the temperature change characteristics at different stages are quantitatively expressed, improving the pertinence and discriminability of the temperature control status assessment.

[0045] By combining temperature characteristic factors and operating parameters, the raw material temperature control state coefficient, freezing and refrigeration state coefficient, and discharge temperature control state coefficient are calculated separately, so that the temperature control state at each stage can be independently evaluated, avoiding the problem that a single indicator cannot reflect local anomalies. By performing correlation calculations on the raw material temperature control state coefficient, freezing and refrigeration state coefficient, and discharge temperature control state coefficient, a comprehensive temperature control evaluation coefficient is constructed to achieve a unified quantitative evaluation of the overall temperature control operation status of the refrigeration ice cream machine.

[0046] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by those skilled in the art for each set of sample data; as long as it does not affect the ratio between the parameter and the quantized value, it is acceptable.

[0047] The above formulas are all derived from software simulation using a large amount of data and are selected to be close to the actual values. The coefficients in the formulas are set by those skilled in the art according to the actual situation. The above description is only a preferred embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any equivalent substitutions or changes made by those skilled in the art within the technical scope disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the protection scope of the present invention.

Claims

1. A real-time temperature monitoring system for a refrigerated ice cream machine, characterized in that, include: The multi-level temperature acquisition module is used to install temperature sensors in the raw material cylinder, freezing cylinder and dispensing area of ​​the target refrigerated ice cream machine to collect real-time temperature data at the locations of the ice cream raw material storage stage, freezing and refrigeration stage and dispensing stage, and to obtain the raw material cylinder temperature data, freezing cylinder temperature data and dispensing port temperature data of the target refrigerated ice cream machine. The temperature data processing module is used to preprocess the temperature data of the raw material cylinder, freezing cylinder, and outlet of the target refrigerated ice cream machine, including removing abnormal noise data, smoothing the temperature data, and constructing a multi-level temperature status dataset of the target refrigerated ice cream machine. The multi-point operation data acquisition module is used to preprocess the multi-level temperature status data of the target refrigerated ice cream machine, and then continue to collect the operating parameters of the target refrigerated ice cream machine during operation, including the power fluctuation of the stirring motor, the suction pressure of the refrigeration circuit, the exhaust pressure of the refrigeration circuit, and the refrigerant mass flow rate. The operating parameters are then correlated and matched with the raw material cylinder temperature data, freezing cylinder temperature data, and outlet temperature data of the target refrigerated ice cream machine. The refrigeration status analysis module is used to collaboratively analyze the temperature data of the raw material cylinder, freezing cylinder, and outlet of the target refrigerated ice cream machine, and obtain the raw material cylinder temperature difference factor through deep machine learning calculations. Refrigeration cylinder temperature stability factor and discharge outlet temperature fluctuation factor Based on the operating parameters of the target refrigerated ice cream machine during operation, the raw material temperature control state coefficient of the target refrigerated ice cream machine was calculated. Refrigeration state coefficient and discharge temperature control coefficient ; The quality monitoring module is used to monitor the raw material temperature control status coefficient of the target refrigerated ice cream machine. Refrigeration state coefficient and discharge temperature control coefficient Correlation, construct a comprehensive temperature control evaluation coefficient And will integrate temperature control evaluation coefficient The refrigeration operation status of the target refrigerated ice cream machine is determined by comparing it with the temperature control assessment threshold LM.

2. The real-time temperature monitoring system for a refrigerated ice cream machine according to claim 1, characterized in that, The multi-level temperature acquisition module includes a temperature acquisition unit for the raw material cylinder area, a temperature acquisition unit for the freezing cylinder area, and a temperature acquisition unit for the discharge port area. The raw material cylinder area temperature acquisition unit is used to collect the temperature status of the environment of the raw material in the raw material cylinder of the target refrigerated ice cream machine in real time. By installing a temperature sensor on the inner wall of the raw material cylinder of the target refrigerated ice cream machine, the ambient temperature of the raw material is continuously sampled during the raw material storage and waiting-to-freeze stages. During the acquisition process, the instantaneous temperature value in the raw material cylinder of the target refrigerated ice cream machine is obtained according to the preset sampling period, thereby obtaining the raw material cylinder temperature data of the target refrigerated ice cream machine. The freezing cylinder area acquisition unit is used to collect the temperature status of the raw materials in the freezing cylinder of the target refrigeration ice cream machine in real time during the freezing and refrigeration process. By setting a temperature sensor on the inner wall of the freezing cylinder of the target refrigeration ice cream machine, the temperature in the freezing cylinder is sampled according to a preset sampling period during the operation of the refrigeration ice cream machine to obtain the instantaneous temperature value of the freezing cylinder at the corresponding sampling time, and the instantaneous temperature value of the freezing cylinder is used as the freezing cylinder temperature data of the target refrigeration ice cream machine. The temperature acquisition unit for the outlet area is used to acquire the temperature of the outlet area of ​​the target refrigerated ice cream machine. By setting a temperature sensor at the outlet port, the temperature of the outlet area of ​​the target refrigerated ice cream machine is sampled according to a preset sampling period when the dispensing operation occurs, so as to obtain the instantaneous temperature value of the outlet of the target refrigerated ice cream machine at the corresponding sampling time, and the instantaneous temperature value of the outlet is used as the outlet temperature data of the target refrigerated ice cream machine.

3. The real-time temperature monitoring system for a refrigerated ice cream machine according to claim 2, characterized in that, The temperature data processing module includes a raw material cylinder temperature data processing unit, a freezing cylinder temperature data processing unit, and an outlet temperature data processing unit for the target refrigerated ice cream machine. The raw material cylinder temperature data processing unit of the target refrigerated ice cream machine is used to process the raw material cylinder temperature data of the target refrigerated ice cream machine, including: During the process of eliminating abnormal noise data, the continuity is judged based on the instantaneous temperature values ​​of the raw material cylinder at adjacent sampling times. When the difference between the temperature value at the current sampling time and the temperature value at the previous sampling time exceeds the preset change threshold, the current temperature value is judged as abnormal noise data and the abnormal noise data is eliminated. After removing abnormal noise data, the remaining raw material cylinder temperature data is smoothed. By weighting several effective temperature values ​​within a preset time window, the smoothed temperature value at the corresponding sampling time is obtained, thus obtaining the processed raw material cylinder temperature data of the target refrigeration ice cream machine. The freezing cylinder temperature data processing unit of the target refrigeration ice cream machine is used to process the freezing cylinder temperature data of the target refrigeration ice cream machine, including: In the process of identifying abnormal noise data, based on the continuous characteristics of the temperature change of the freezing cylinder, the instantaneous temperature values ​​of the freezing cylinder at adjacent sampling times are compared with trends. When a sudden change in the temperature change trend of a certain sampling time relative to several sampling times before and after is detected, the current temperature value is determined to be abnormal noise data and the current abnormal noise data is removed. After the abnormal noise data is processed, the freezing cylinder temperature data is smoothed. By applying a sliding window to the effective freezing cylinder temperature values ​​at several consecutive sampling times, the smoothed freezing cylinder temperature value is calculated, suppressing the instantaneous temperature fluctuation interference generated during the refrigeration operation, thereby obtaining the processed freezing cylinder temperature data of the target refrigeration ice cream machine. The outlet temperature data processing unit of the target refrigerated ice cream machine is used to process the outlet temperature data of the target refrigerated ice cream machine, including: During the process of eliminating abnormal noise data, the temperature data at the discharge port is segmented based on the discharge operation trigger signal. When the instantaneous temperature value at the discharge port is detected to have a jump exceeding the preset range within a single sampling period during the discharge operation phase, the current temperature value is determined to be abnormal noise data and the current abnormal noise data is eliminated. After the abnormal noise data is removed, the outlet temperature data is smoothed. By performing time-series weighted processing on the effective temperature values ​​obtained by continuous sampling during the discharging stage, the drastic temperature fluctuations caused by environmental exposure and material flow during the discharging process are reduced, thereby obtaining the processed outlet temperature data of the target refrigeration ice cream machine. Based on the processed raw material cylinder temperature data, freezing cylinder temperature data, and discharge port temperature data of the target refrigerated ice cream machine, a multi-level temperature status dataset of the target refrigerated ice cream machine is constructed.

4. The real-time temperature monitoring system for a refrigerated ice cream machine according to claim 3, characterized in that, The multi-point operation data acquisition module includes a stirring motor power fluctuation amplitude acquisition unit, a refrigeration circuit suction pressure value acquisition unit, a refrigeration circuit exhaust pressure value acquisition unit, a refrigerant mass flow rate value acquisition unit, and a matching unit; The stirring motor power fluctuation amplitude acquisition unit is used to set voltage and current sensors in the power supply circuit of the stirring motor of the target refrigerated ice cream machine to collect voltage and current signals during the operation of the stirring motor in real time. The voltage and current sensors acquire the instantaneous voltage and instantaneous current values ​​of the stirring motor within a preset sampling period, and calculate the instantaneous power value of the stirring motor at the corresponding sampling time based on the instantaneous voltage and instantaneous current values. After continuously collecting the instantaneous power values ​​of the stirring motor at several sampling times, the difference between the maximum and minimum power values ​​within a preset time window is calculated by statistical analysis of the instantaneous power values ​​of the stirring motor, which is used as the stirring motor power fluctuation amplitude of the target refrigerated ice cream machine. The refrigeration circuit suction pressure acquisition unit is used to install a pressure sensor at the compressor suction pipe position of the refrigeration circuit of the target refrigeration ice cream machine to detect the pressure on the suction side of the refrigeration circuit in real time. During the operation of the refrigeration ice cream machine, the pressure sensor collects the pressure signal in the suction pipe according to a preset sampling period. After signal conditioning and analog-to-digital conversion, the pressure signal is converted into a digital pressure signal. Based on the calibration parameters of the pressure sensor, the digital pressure signal is converted into the corresponding suction pressure value, thereby obtaining the suction pressure value of the refrigeration circuit of the target refrigeration ice cream machine.

5. The real-time temperature monitoring system for a refrigerated ice cream machine according to claim 4, characterized in that, The refrigeration circuit exhaust pressure value acquisition unit is used to install a pressure sensor at the compressor exhaust pipe position of the refrigeration circuit of the target refrigeration ice cream machine to detect the pressure on the exhaust side of the refrigeration circuit in real time. During the operation of the refrigeration ice cream machine, the pressure sensor collects the pressure signal in the exhaust pipe according to the preset sampling period and converts the collected pressure signal into the corresponding exhaust pressure value. The exhaust pressure value is used as the refrigeration circuit exhaust pressure value of the target refrigeration ice cream machine. The refrigerant mass flow rate acquisition unit is used to install a refrigerant mass flow meter in the refrigeration circuit of the target refrigeration ice cream machine to monitor the refrigerant flowing in the refrigeration circuit in real time. Based on the flow characteristics of the refrigerant in the pipeline, the refrigerant mass flow meter collects the instantaneous flow signal of the refrigerant according to a preset sampling period, converts the flow signal into the corresponding refrigerant mass flow rate value, and uses the refrigerant mass flow rate value as the refrigerant mass flow rate value of the target refrigeration ice cream machine. The matching unit is used to assign corresponding sampling time identifiers to the target refrigerated ice cream machine's stirring motor power fluctuation amplitude, refrigeration circuit suction pressure value, refrigeration circuit exhaust pressure value, refrigerant mass flow rate value, and raw material cylinder temperature data, freezing cylinder temperature data, and outlet temperature data, respectively. Using the sampling time corresponding to any temperature data as a matching benchmark, a preset time window is constructed before and after the matching benchmark time. Within the time window, operating parameter data corresponding to the matching benchmark time is selected. When several operating parameter sampling values ​​exist within the time window, a representative operating parameter value within the corresponding time window is extracted based on the operating parameters. This representative operating parameter value is then combined with the raw material cylinder temperature data, freezing cylinder temperature data, and outlet temperature data of the target refrigerated ice cream machine corresponding to the matching benchmark time to form associated data characterizing the operating status of the refrigerated ice cream machine within the same operating period. This achieves the matching and association between the operating parameters and the raw material cylinder temperature data, freezing cylinder temperature data, and outlet temperature data of the target refrigerated ice cream machine.

6. The real-time temperature monitoring system for a refrigerated ice cream machine according to claim 5, characterized in that, The refrigeration status analysis module includes a raw material cylinder temperature difference factor calculation unit, a freezing cylinder temperature stability factor calculation unit, a discharge port temperature fluctuation factor calculation unit, a raw material temperature control status analysis unit, a freezing and refrigeration status analysis unit, and a discharge temperature control status analysis unit. The raw material cylinder temperature difference factor calculation unit is used to calculate the raw material cylinder temperature data based on the target refrigeration ice cream machine. Calculate the temperature difference factor of the raw material cylinder of the target refrigeration ice cream machine. ; The freezing cylinder temperature stability factor calculation unit is used to calculate the freezing cylinder temperature data of the target refrigeration ice cream machine. Calculate the temperature stability factor of the freezing cylinder of the target refrigeration ice cream machine. ; The outlet temperature fluctuation factor calculation unit is used to calculate the outlet temperature based on the target refrigeration ice cream machine. Calculate the temperature fluctuation factor at the outlet of the target refrigeration ice cream machine. ; The raw material temperature control status analysis unit is used to analyze the temperature difference factor of the raw material cylinder of the target refrigeration ice cream machine. The fluctuation range of the stirring motor power in the target refrigeration ice cream machine and the refrigerant mass flow rate value in the target refrigeration ice cream machine The raw material temperature control state coefficient of the target refrigerated ice cream machine is obtained through the following methods. ; First, based on the temperature difference factor of the raw material cylinder of the target refrigeration ice cream machine. Calculate the influence of raw material cylinder temperature uniformity ; Secondly, based on the power fluctuation range of the stirring motor in the target refrigeration ice cream machine Calculate the influence of stirring load on stability. ; Next, based on the refrigerant mass flow rate value in the target refrigeration ice cream machine Calculate the impact of cooling supply capacity ; Finally, based on the influence of raw material cylinder temperature uniformity Influence of stirring load stability And the impact of cooling supply capacity After normalization, the raw material temperature control state coefficient of the target refrigerated ice cream machine is calculated using the following formula. ; ； The raw material temperature control status analysis unit includes a first evaluation subunit, used to preset the raw material temperature control threshold QP, and to evaluate the raw material temperature control status coefficient of the target refrigeration ice cream machine. Comparison with the raw material temperature control threshold (QP), including: when When the value is greater than QP, it indicates that the target refrigerated ice cream machine has normal temperature control during the raw material stage and should maintain the current temperature parameters. when When the value is ≤QP, it indicates that the temperature control of the target refrigerated ice cream machine is abnormal during the raw material stage. It is necessary to make a proportional adjustment to the temperature control operating parameters related to the raw material stage. The adjustment range is 20%-50%, and after the proportional adjustment is completed, the temperature data of the raw material cylinder should be continuously monitored.

7. The real-time temperature monitoring system for a refrigerated ice cream machine according to claim 6, characterized in that, The refrigeration state analysis unit is used to analyze the freezing cylinder temperature stability factor of the target refrigeration ice cream machine. Refrigeration circuit suction pressure value Refrigeration circuit exhaust pressure value Refrigerant mass flow rate The freezing-cooling state coefficient of the target refrigeration ice cream machine is obtained through the following methods. ; First, utilize the suction pressure value of the refrigeration circuit of the target refrigeration ice cream machine. Refrigeration circuit exhaust pressure value Calculate the refrigeration pressure ratio ; Next, the refrigeration pressure ratio Refrigerant mass flow rate value of the target refrigeration ice cream machine Combined, and after normalization, the refrigeration coupling efficiency factor is calculated. ; Finally, the temperature stability factor of the freezing cylinder of the target refrigeration ice cream machine. Coupling efficiency factor with refrigeration Combined and normalized, the freezing-cooling state coefficient of the target refrigeration ice cream machine is calculated using the following formula. ; ； The freezing and refrigeration state analysis unit includes a second evaluation subunit, used to preset the freezing and refrigeration state threshold WT, and to evaluate the freezing and refrigeration state coefficient of the target ice cream machine. Comparison with the freezing / cooling state threshold WT, including: when When the value is greater than WT, it indicates that the target ice cream machine is experiencing refrigeration abnormalities during the freezing stage. The refrigeration intensity of the target ice cream machine needs to be adjusted proportionally by 10%-30%, and the freezing cylinder temperature data should be continuously monitored after the adjustment. when When the value is ≤WT, it indicates that the target refrigeration ice cream machine is operating normally during the freezing stage.

8. The real-time temperature monitoring system for a refrigerated ice cream machine according to claim 7, characterized in that, The discharge temperature control status analysis unit is used to analyze the temperature fluctuation factor at the discharge port of the target refrigeration ice cream machine. Refrigeration circuit exhaust pressure value Refrigerant mass flow rate The discharge temperature control status coefficient of the target refrigeration ice cream machine is obtained through the following methods. ; First, utilize the outlet temperature fluctuation factor of the target refrigeration ice cream machine. Calculate the influence of discharge temperature disturbance. ; Next, the exhaust pressure value of the refrigeration circuit of the target refrigeration ice cream machine is used. Refrigerant mass flow rate After normalization, the cooling recovery capacity index was calculated. ; Finally, the impact of discharge temperature disturbance will be considered. With cooling recovery capacity index Combined and normalized, the discharge temperature control state coefficient of the target refrigeration ice cream machine is calculated using the following formula. ; ； The discharge temperature control status analysis unit includes a third evaluation subunit, used to preset the discharge temperature control status threshold TP, and to evaluate the discharge temperature control status coefficient of the target refrigeration ice cream machine. Comparison with the discharge temperature control threshold TP, including: when When the value is >TP, it indicates that the temperature control of the target refrigerated ice cream machine is abnormal during the dispensing stage. The temperature at the dispensing position of the target refrigerated ice cream machine needs to be adjusted by 15%-35%. After the adjustment is completed, the temperature data at the dispensing port should be continuously monitored. when When ≤TP, it indicates that the temperature control of the target refrigerated ice cream machine is normal during the dispensing stage.

9. A real-time temperature monitoring system for a refrigerated ice cream machine according to claim 8, characterized in that, The quality monitoring module includes an associated unit; The associated unit is used to set the raw material temperature control status coefficient of the target refrigerated ice cream machine. Refrigeration state coefficient and discharge temperature control coefficient The comprehensive temperature control evaluation coefficient is obtained by calculating the following formula. ; ； The associated unit includes a fourth evaluation subunit, used to preset the comprehensive temperature control evaluation threshold LM, and to set the comprehensive temperature control evaluation coefficient. Comparison with the comprehensive temperature control assessment threshold LM, including: when When the value is greater than LM, it indicates that the overall temperature control operation of the target refrigerated ice cream machine is abnormal. It is necessary to make a uniform adjustment to the temperature control parameters related to the raw materials, freezing and dispensing stages. The adjustment ratio is 25%-60%. After the ratio adjustment is completed, the comprehensive temperature control evaluation coefficient should be continuously updated and monitored. when When the value is ≤LM, it indicates that the overall temperature control operation of the target refrigerated ice cream machine is normal.

10. A method for real-time temperature monitoring of a refrigerated ice cream machine, applied to the real-time temperature monitoring system for a refrigerated ice cream machine as described in any one of claims 1-9, characterized in that, include: S1. First, temperature sensors are installed at the feeding position, freezing position and discharging position of the target refrigerated ice cream machine to monitor the temperature at the ice cream raw material storage stage, freezing and refrigeration stage and discharging stage in real time, and to obtain the raw material cylinder temperature data, freezing cylinder temperature data and discharging port temperature data of the target refrigerated ice cream machine. S2. Next, outlier values ​​are extracted and smoothed from the raw material cylinder temperature data, freezing cylinder temperature data, and outlet temperature data of the target refrigerated ice cream machine, and a multi-level temperature status dataset of the target refrigerated ice cream machine is constructed. S3. After constructing the multi-level temperature status dataset of the target refrigerated ice cream machine, continue to collect the operating parameters of the target refrigerated ice cream machine during operation, including the power fluctuation amplitude of the stirring motor, the suction pressure value of the refrigeration circuit, the exhaust pressure value of the refrigeration circuit, and the refrigerant mass flow rate value. S4. Correlate and match the fluctuation range of the stirring motor power, the suction pressure value of the refrigeration circuit, the exhaust pressure value of the refrigeration circuit, and the refrigerant mass flow rate value in the target refrigeration ice cream machine with the raw material cylinder temperature data, freezing cylinder temperature data, and outlet temperature data of the target refrigeration ice cream machine. S5. Based on the raw material cylinder temperature data, freezing cylinder temperature data, and outlet temperature data of the target refrigeration ice cream machine, construct the raw material cylinder temperature difference factor of the target refrigeration ice cream machine. Refrigeration cylinder temperature stability factor and discharge outlet temperature fluctuation factor Based on the fluctuation range of the stirring motor power, the suction pressure of the refrigeration circuit, the discharge pressure of the refrigeration circuit, and the refrigerant mass flow rate in the target refrigeration ice cream machine, the raw material temperature control state coefficient of the target refrigeration ice cream machine is calculated. Refrigeration state coefficient and discharge temperature control coefficient ; S6. Set the raw material temperature control coefficient of the target refrigerated ice cream machine. Refrigeration state coefficient and discharge temperature control coefficient Correlation, construct a comprehensive temperature control evaluation coefficient .

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