Temperature monitoring structure for cooling-water machine and detection method

Abstract

The invention relates to the field of temperature monitoring, and discloses a temperature monitoring structure and detection method for a water chiller, and the method comprises the steps: collecting temperature data transmitted by a sensor through a data collection module, converting an analog signal into a digital signal through a data collection system, and transmitting the digital signal to a main control system for further processing; upper and lower limit threshold values of inlet water and outlet water temperature are set, the temperature monitoring system can compare the temperature with the set threshold values in real time, and the system can automatically trigger an alarm when detecting that the temperature exceeds the preset upper and lower limit threshold values; the real-time temperature data and historical data are compared and analyzed, the trend of temperature fluctuation is recognized, and a potential fault mode or a sign of equipment performance reduction is found; and storing the temperature data, generating a historical data record, analyzing a temperature change rule by periodically generating a report or a trend chart, and providing a report of an equipment operation state to related personnel. The water chiller has the advantage of being capable of achieving real-time temperature monitoring of the water chiller.

Description

Technical Field

[0001] The invention relates to the field of temperature detection, and in particular to a temperature monitoring structure and a detection method for a chiller. Background Art

[0002] A chiller is a device used in industrial, commercial, medical and other fields. It mainly provides cooling functions through compression, evaporation, condensation and other processes to adjust the temperature of the system or environment. During the operation of the chiller, its operating temperature needs to be accurately monitored to ensure the efficient operation of the equipment and avoid failures due to abnormal temperature.

[0003] At present, the temperature monitoring of chillers usually relies on temperature sensors, such as thermocouples or RTDs (platinum resistance detectors), which can provide basic temperature data. However, traditional temperature sensors may not be able to provide real-time temperature change data when the dynamic load changes, resulting in monitoring delays. Therefore, it is necessary to design a temperature monitoring structure and detection method for chillers that can realize real-time temperature monitoring of chillers. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In view of the deficiencies in the prior art, the present invention provides a temperature monitoring structure and detection method for a chiller, which has the advantage of being able to achieve real-time temperature monitoring of the chiller and solves the problems in the above-mentioned background technology.

[0006] (II) Technical solution

[0007] In order to achieve the above-mentioned purpose of being able to realize real-time temperature monitoring of a chiller, the present invention provides the following technical solutions: a temperature monitoring structure for a chiller, comprising a data acquisition module, a data storage module, a temperature monitoring module, and a control and regulation module;

[0008] The data acquisition module is used to collect data from various temperature sensors, and perform preliminary processing and conversion, use a microcontroller to digitize the sensor signal, and perform noise filtering and data smoothing processing;

[0009] The data storage module is used to store and manage temperature monitoring data, including storage of historical data, data backup and data analysis. The collected temperature data is stored through a local storage device, and the stored temperature data is used for subsequent trend analysis and fault diagnosis;

[0010] The temperature monitoring module is used to monitor the temperature change of the chiller in real time, trigger an alarm when the temperature exceeds the set temperature threshold, set the upper and lower temperature thresholds, compare the collected temperature data through the software algorithm, and automatically trigger an alarm signal when the temperature exceeds the normal range;

[0011] The control and regulation module controls and regulates various components of the chiller according to the temperature data, and adjusts the operating parameters of the chiller based on the real-time temperature monitoring data.

[0012] A temperature detection method for a chiller comprises the following steps:

[0013] S1: The temperature data transmitted by the sensor is collected through the data acquisition module. The data acquisition system converts the analog signal into a digital signal and sends it to the main control system for further processing;

[0014] Preferably, S1 further includes collecting the analog signal transmitted by the temperature sensor through the data acquisition module, converting the analog signal output by the sensor into a digital signal using an analog-to-digital converter, and performing noise filtering and smoothing on the original digital signal. These processed digital temperature data will be transmitted to the main control system in real time for further analysis and decision support, including temperature anomaly detection, trend analysis and feedback control.

[0015] S2: Set the upper and lower temperature thresholds for the inlet and outlet water. The temperature monitoring system will compare the temperature with the set thresholds in real time. If the temperature exceeds the preset upper and lower thresholds, the system will automatically trigger an alarm.

[0016] Preferably, S2 further includes setting upper and lower temperature thresholds according to the design parameters and operating requirements of the chiller, comparing the real-time collected digital temperature data with the predetermined temperature threshold, and through a high-precision digital temperature sensor and an analog-to-digital converter, when the collected temperature data exceeds the set threshold, the temperature monitoring system will immediately trigger an alarm mechanism, including sound and light alarms, short messages or emails to notify relevant operators.

[0017] S3: Compare and analyze real-time temperature data with historical data to identify trends in temperature fluctuations and discover potential failure modes or signs of equipment performance degradation;

[0018] Preferably, S3 further includes acquiring temperature data in real time through a data acquisition module and storing it in a database to form a time series data set. The historical data includes temperature change records of the equipment under different operating conditions, while the real-time data reflects the current state of the system. By applying regression analysis, predictive modeling or machine learning methods, the future temperature trend of the equipment is predicted based on the historical temperature data and compared with the actual measured real-time temperature.

[0019] S4: Store temperature data, generate historical data records, analyze temperature change patterns by regularly generating reports or trend charts, and provide reports on equipment operating status to relevant personnel.

[0020] Preferably, the S4 further includes regularly storing the temperature data collected in real time into a database, wherein the data include the inlet water temperature, the outlet water temperature and the temperature status of each part of the system, and providing a visual data display to relevant personnel by regularly generating reports and trend charts, modeling and analyzing the temperature variation pattern, and generating regular operation status reports, which will include trend analysis of various temperature data of the equipment, comparison results with historical data, and any abnormal conditions that exceed the set threshold.

[0021] (III) Beneficial effects

[0022] Compared with the prior art, the present invention provides a temperature monitoring structure and detection method for a chiller, which has the following beneficial effects:

[0023] The present invention sets the upper and lower temperature thresholds of the water inlet and outlet. The temperature monitoring system will compare with the set thresholds in real time. When the temperature exceeds the preset upper and lower thresholds, the system will automatically trigger an alarm. The real-time temperature data is compared and analyzed with the historical data to identify the trend of temperature fluctuations and find potential failure modes or signs of equipment performance degradation. The temperature data is stored and historical data records are generated. The temperature change pattern is analyzed by regularly generating reports or trend graphs, and reports on the equipment operation status are provided to relevant personnel. It has the advantage of being able to realize real-time temperature monitoring of the chiller. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 Schematic diagram of the method of the present invention. DETAILED DESCRIPTION

[0025] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] Example 1

[0027] The present invention provides a technical solution: a temperature detection method for a chiller, comprising the following steps:

[0028] S1: The temperature data transmitted by the sensor is collected through the data acquisition module. The data acquisition system converts the analog signal into a digital signal and sends it to the main control system for further processing;

[0029] After collecting the analog signal transmitted by the temperature sensor through the data acquisition module, the data acquisition system first uses an analog-to-digital converter to convert the analog signal output by the sensor into a digital signal. The quantization step in this process involves converting the continuous analog signal into a finite discrete digital value at a preset sampling rate and resolution. Specifically, the resolution of the ADC determines the quantization accuracy. The common 12-bit or 16-bit resolution can divide the analog signal into 4096 or 65536 discrete levels, which affects the fineness of the temperature data. The quantization error is usually determined by the resolution of the ADC and needs to be reduced by increasing the resolution or using filtering technology in high-precision applications. In addition, the data acquisition system will also perform noise filtering and smoothing on the original digital signal to remove possible interference and ensure that the data transmitted to the main control system is more stable and accurate. Finally, these processed digital temperature data will be transmitted to the main control system in real time for further analysis and decision support, including temperature anomaly detection, trend analysis and feedback control to ensure the normal operation of the chiller. Through the quantization and processing process, the system can ensure fast response and real-time monitoring while maintaining high accuracy.

[0030] S2: Set the upper and lower temperature thresholds for the inlet and outlet water. The temperature monitoring system will compare the temperature with the set thresholds in real time. If the temperature exceeds the preset upper and lower thresholds, the system will automatically trigger an alarm.

[0031] Setting the temperature thresholds for inlet and outlet water is a key step to ensure the safe operation of the equipment. First, the system will set reasonable upper and lower temperature thresholds based on the design parameters and operating requirements of the chiller. These thresholds are usually scientifically calculated based on historical operating data, equipment tolerance temperature and safety standards. For example, the upper limit of the inlet temperature may be set to 10°C and the lower limit of the outlet temperature may be set to 5°C. The specific values ​​depend on the cooling requirements of the chiller and the equipment tolerance. During the quantification process, the system compares the real-time collected digital temperature data with the predetermined temperature thresholds. Through high-precision digital temperature sensors and analog-to-digital converters, the system can sample temperature at a frequency of several times per second or even higher to ensure that temperature fluctuations are captured in time. When the collected temperature data exceeds the set threshold, the temperature monitoring system will immediately trigger an alarm mechanism, including sound and light alarms, short messages or emails to notify relevant operators. The quantification process of the alarm threshold usually needs to be precisely adjusted according to the response time requirements and error tolerance of the equipment to ensure that the system responds quickly to temperature anomalies and avoids further damage through automatic control or manual intervention. The accuracy and response speed of the quantification are crucial in this process to ensure that the monitoring of temperature changes during equipment operation is always efficient and reliable.

[0032] S3: Compare and analyze real-time temperature data with historical data to identify trends in temperature fluctuations and discover potential failure modes or signs of equipment performance degradation;

[0033] Comparing and analyzing real-time temperature data with historical data is an important step in identifying potential failure modes and equipment performance degradation. First, the system acquires temperature data in real time through the data acquisition module and stores it in the database to form a time series data set. Historical data includes records of temperature changes of the equipment under different operating conditions, while real-time data reflects the current system status. During the quantification process, the system uses a variety of statistical and algorithmic methods, such as mean, standard deviation, rate of change, and trend analysis, to compare real-time data with historical data. For example, the system calculates the average fluctuation range, fluctuation frequency, and change rate of temperature changes, and combines the set threshold to determine whether abnormal fluctuations occur. When the real-time temperature fluctuation exceeds the normal fluctuation range of historical data, the system can identify early signs of equipment performance degradation or failure. In addition, the system can also predict the future temperature trend of the equipment based on historical temperature data by applying regression analysis, predictive modeling, or machine learning methods, and compare it with the actual measured real-time temperature. If the real-time data continues to deviate from the predicted value, the system will further quantify these deviations, mark them as potential failure risks, and trigger alarms or enter fault diagnosis mode. This quantitative method based on comparative analysis of historical and real-time data can effectively identify equipment operating trends, predict potential failures, perform maintenance or adjustments in advance, and avoid sudden failures.

[0034] S4: Store temperature data, generate historical data records, analyze temperature change patterns by regularly generating reports or trend charts, and provide reports on equipment operating status to relevant personnel.

[0035] The storage of temperature data and the recording of historical data are the core of ensuring long-term equipment health management. The system will first regularly store the real-time collected temperature data in the database to form a continuous historical record. These data include the inlet water temperature, outlet water temperature and the temperature status of each part of the system, which are usually archived in units of hours, days or weeks. During the quantification process, the system will set the time interval for data storage and the data retention period to ensure that it can meet the needs of real-time monitoring and retain historical data for a long time for later analysis. In order to analyze the temperature change pattern, the system provides visual data display to relevant personnel by regularly generating reports and trend charts. For example, the system uses statistics such as the moving average, standard deviation, maximum and minimum values ​​of temperature data to generate trend charts to show the fluctuation range and change trend of temperature. Reports and trend charts can not only help operators monitor the real-time status of the equipment, but also reveal potential temperature anomalies, equipment aging or failure trends. Through quantification, the system can model and analyze the temperature change pattern and generate regular operation status reports, which will include trend analysis of various temperature data of the equipment, comparison results with historical data, and any abnormal conditions that exceed the set threshold. These quantitative reports and charts provide equipment maintenance personnel with clear and intuitive equipment operating status, provide data support for decision-making, and help identify potential problems in advance and take preventive measures.

[0036] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0037] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A temperature monitoring structure for a chiller, characterized in that: It includes data acquisition module, data storage module, temperature monitoring module, control and regulation module; The data acquisition module is used to collect data from various temperature sensors, and perform preliminary processing and conversion, use a microcontroller to digitize the sensor signal, and perform noise filtering and data smoothing processing; The data storage module is used to store and manage temperature monitoring data, including storage of historical data, data backup and data analysis. The collected temperature data is stored through a local storage device, and the stored temperature data is used for subsequent trend analysis and fault diagnosis; The temperature monitoring module is used to monitor the temperature change of the chiller in real time, trigger an alarm when the temperature exceeds the set temperature threshold, set the upper and lower temperature thresholds, compare the collected temperature data through the software algorithm, and automatically trigger an alarm signal when the temperature exceeds the normal range; The control and regulation module controls and regulates various components of the chiller according to the temperature data, and adjusts the operating parameters of the chiller based on the real-time temperature monitoring data.

2. A temperature detection method for a chiller according to claim 1, characterized in that: The following steps are involved: S1: The temperature data transmitted by the sensor is collected through the data acquisition module. The data acquisition system converts the analog signal into a digital signal and sends it to the main control system for further processing; S2: Set the upper and lower temperature thresholds for the inlet and outlet water. The temperature monitoring system will compare the temperature with the set thresholds in real time. If the temperature exceeds the preset upper and lower thresholds, the system will automatically trigger an alarm. S3: Compare and analyze real-time temperature data with historical data to identify trends in temperature fluctuations and discover potential failure modes or signs of equipment performance degradation; S4: Store temperature data, generate historical data records, analyze temperature change patterns by regularly generating reports or trend charts, and provide reports on equipment operating status to relevant personnel.

3. A temperature monitoring structure and detection method for a chiller according to claim 1, characterized in that: The S1 further includes collecting the analog signal transmitted by the temperature sensor through the data acquisition module, converting the analog signal output by the sensor into a digital signal using an analog-to-digital converter, and performing noise filtering and smoothing on the original digital signal. These processed digital temperature data will be transmitted to the main control system in real time for further analysis and decision support, including temperature anomaly detection, trend analysis and feedback control.

4. A temperature monitoring structure and detection method for a chiller according to claim 1, characterized in that: The S2 further includes setting upper and lower temperature thresholds according to the design parameters and operation requirements of the chiller, comparing the real-time collected digital temperature data with the predetermined temperature threshold, and using a high-precision digital temperature sensor and an analog-to-digital converter. When the collected temperature data exceeds the set threshold, the temperature monitoring system will immediately trigger an alarm mechanism, including sound and light alarms, short messages or emails to notify relevant operators.

5. A temperature monitoring structure and detection method for a chiller according to claim 1, characterized in that: The S3 further includes acquiring temperature data in real time through a data acquisition module and storing it in a database to form a time series data set. The historical data includes temperature change records of the equipment under different operating conditions, while the real-time data reflects the current state of the system. By applying regression analysis, predictive modeling or machine learning methods, the future temperature trend of the equipment is predicted based on the historical temperature data and compared with the actual measured real-time temperature.

6. A temperature monitoring structure and detection method for a chiller according to claim 1, characterized in that: The S4 further includes regularly storing the temperature data collected in real time into a database, wherein the data include the inlet water temperature, the outlet water temperature and the temperature status of each part of the system, and providing visual data display to relevant personnel by regularly generating reports and trend charts, modeling and analyzing the temperature variation pattern, and generating regular operation status reports. The reports will include trend analysis of various temperature data of the equipment, comparison results with historical data and any abnormal conditions exceeding the set threshold.

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