A high-temperature heat pump intake detection system

Abstract

This invention relates to the field of heat pump intake detection technology and discloses a high-temperature heat pump intake detection system, including a data acquisition module and an intelligent monitoring module. The high-temperature heat pump intake detection system acquires intake volume flow rate, sensor data from monitoring points, and composition data of the mixed gas through the data acquisition module, classifying these into datasets. The intelligent monitoring module sets a monitoring cycle, analyzes the fluctuation degree of each intake, and generates fluctuation data sets. Stable flow rate avoids frequent compressor start-stop. It analyzes the operating status of each monitoring point, generates monitoring data sets, reduces the randomness of human intervention, analyzes the energy quality of the mixed gas inside the high-temperature heat pump, generates a quality coefficient, and optimizes energy utilization. The multi-dimensional analysis has high sensitivity. The intelligent monitoring module evaluates the stability of the high-temperature heat pump intake flow rate, the stability of the operating process, and the energy quality of the internal mixed gas, and outputs corresponding management suggestions, resulting in intelligent management and high energy utilization efficiency.

Description

Technical Field

[0001] This invention relates to the field of heat pump intake detection technology, specifically a high-temperature heat pump intake detection system. Background Technology

[0002] A high-temperature heat pump is a heat pump system that uses electricity or gas as its energy source. It boasts advantages such as environmental friendliness, high efficiency, and energy saving, and is widely used in industrial heating, heating, and hot water supply. Its working principle is based on the reverse Carnot cycle, primarily achieved through four components: a compressor, a condenser, an expansion valve, and an evaporator. Low-temperature, low-pressure refrigerant gas is drawn into the compressor and compressed into a high-temperature, high-pressure gas. At this point, the compressor consumes work, converting mechanical energy into the internal energy of the refrigerant gas, increasing its temperature and pressure. The high-temperature, high-pressure refrigerant gas enters the condenser, where it exchanges heat with the external cooling medium, releasing heat and condensing into a medium-temperature, high-pressure liquid. This medium-temperature, high-pressure refrigerant liquid is then throttled and depressurized through the expansion valve, becoming a low-temperature, low-pressure liquid. This low-temperature, low-pressure refrigerant liquid enters the evaporator, exchanges heat with an external heat source, absorbs heat, and evaporates into a low-temperature, low-pressure gas, which then re-enters the compressor for the next cycle. In a high-temperature heat pump system, intake gas detection is crucial for stable operation and efficiency. Sensors such as flow meters can monitor the flow rate of gas or liquid entering the heat pump system in real time, ensuring the system operates under optimal conditions. Insufficient or excessive intake airflow will affect the system's heat exchange efficiency and performance. Temperature sensors monitor the intake air temperature and adjust system operating parameters promptly to adapt to different environmental conditions and load requirements. Pressure sensors monitor the intake air pressure in real time; excessively high pressure may lead to system leaks or damage, while excessively low pressure may affect the system's heat exchange efficiency. In applications such as industrial waste heat recovery, the waste gas may contain corrosive or toxic components, which may damage or affect the performance of high-temperature heat pump components. Therefore, it is also necessary to monitor the composition of the intake air to ensure the safe operation of the system.

[0003] Currently, traditional high-temperature heat pump intake detection systems have significant shortcomings when dealing with complex operating conditions. They lack sufficient sensitivity to the composition and properties of special gases and are unable to accurately capture even the slightest changes in the gas. This problem directly leads to deviations in the judgment of the intake status of the heat pump system, which in turn causes the load of the heat pump system to be in a state of continuous change, ultimately resulting in adverse consequences such as a decline in system performance and an increase in measurement errors. Summary of the Invention

[0004] (a) Technical problems to be solved

[0005] To address the shortcomings of existing technologies, this invention provides a high-temperature heat pump intake detection system, which has advantages such as high sensitivity of multidimensional analysis and high energy utilization efficiency of intelligent management. It solves the problem that traditional high-temperature heat pump intake detection systems lack sufficient sensitivity to the composition of special gases, resulting in a decline in the performance of high-temperature heat pumps.

[0006] (II) Technical Solution

[0007] To achieve the above objectives, the present invention provides the following technical solution: a high-temperature heat pump intake detection system, comprising a data acquisition module and an intelligent monitoring module;

[0008] The data acquisition module consists of an intake data unit, a sensor data unit, and a composition data unit. The intake data unit collects intake data through a network connection to a flow meter, the sensor data unit collects sensor data through a network connection to a sensor device, and the composition data unit collects composition data through a network connection to a gas analyzer.

[0009] The intelligent monitoring module consists of a flow analysis unit, an operation analysis unit, a gas assessment unit, and a heat pump management unit. The intelligent monitoring module is set with a monitoring cycle of fixed duration. The flow analysis unit analyzes the fluctuation level of each intake based on the intake data set and generates corresponding fluctuation data sets. The operation analysis unit analyzes the operating status of each monitoring point based on the sensor dataset and generates corresponding monitoring data sets. The gas evaluation unit analyzes the energy quality of the mixed gas inside the high-temperature heat pump based on the composition dataset and generates the corresponding quality coefficient. The heat pump management unit is configured with a fixed range of flow fluctuations. Temperature difference range Pressure difference range Compression difference range Thermal capacity difference range Thermal resistance difference range Viscosity difference range Interval of factor differences and quality range Combined with fluctuation data sets Monitoring data group and quality coefficient The system assesses the stability of the intake airflow of the high-temperature heat pump, the stability of its operation, and the energy quality of the internal mixed gas, and provides corresponding management recommendations.

[0010] Preferably, the expression for the intake data set is: , to Indicates the first to the second Volumetric flow rate of the second intake to This indicates the order from morning to evening, from the first to the last. The time point at which the intake volumetric flow rate is obtained.

[0011] Preferably, the expression for the sensor dataset is: , to Indicates the first to the second The monitoring data includes sensor data from several monitoring points, such as pipe temperature, pipe pressure, compressor compression ratio, refrigerant specific heat capacity, heat exchanger thermal resistance, lubricating oil viscosity, and power factor. to This indicates retrieving the first to the last items in chronological order, from earliest to latest. The time points of the sensor data from each monitoring point.

[0012] Preferably, the expression for the component dataset is: , This indicates the oxygen concentration in the gas mixture inside a high-temperature heat pump. This indicates the nitrogen concentration in the gas mixture inside the high-temperature heat pump. This indicates the carbon dioxide concentration in the mixed gas inside the high-temperature heat pump. This indicates the water vapor concentration in the mixed gas inside a high-temperature heat pump. This indicates the carbon monoxide concentration in the gas mixture inside a high-temperature heat pump. This indicates the particulate matter concentration in the mixed gas inside a high-temperature heat pump. to This indicates the time points in chronological order, from morning to night, for acquiring data on the first to sixth components of the mixed gas inside the high-temperature heat pump.

[0013] Preferably, the fluctuation data group The calculation process is as follows:

[0014] ;

[0015] ;

[0016] In the formula, Indicates the monitoring period Total number of internal air intakes Indicates the monitoring period Internal, average intake volume flow rate, Indicates the first Volumetric flow rate of the second intake , This means calculating and summing the absolute differences between the intake volume flow rate and the average value for each intake cycle. This indicates the standard deviation of the intake volumetric flow rate calculated using the standard deviation formula.

[0017] Preferably, the monitoring data set The calculation process is as follows:

[0018] Based on the sensor dataset, extract the first... Sensor data from each monitoring point;

[0019] ;

[0020] In the formula, Indicates the monitoring period Starting time pipe temperature Pipe temperature at end time The difference, Indicates the monitoring period Initial time pipeline pressure Pipeline pressure at the end time The difference, Indicates the monitoring period Start-up time compressor compression ratio Compressor compression ratio with end time The difference, Indicates the monitoring period Initial time refrigerant specific heat capacity Specific heat capacity of refrigerant at the end time The difference, Indicates the monitoring period Initial time heat exchanger thermal resistance Heat exchanger thermal resistance at the end time The difference, Indicates the monitoring period Initial time lubricating oil viscosity Lubricating oil viscosity at the end time The difference, Indicates the monitoring period Start-time power factor With end time power factor The difference.

[0021] Preferably, the quality coefficient The calculation process is as follows:

[0022] ;

[0023] In the formula, This represents the standard value used to measure oxygen concentration. This indicates the weighting of the ratio of oxygen concentration to the standard value. This represents the standard value used to measure nitrogen concentration. This indicates the weighting of the ratio of the standard value to the nitrogen concentration. This represents the standard value used to measure carbon dioxide concentration. This indicates the weighting of the ratio of the standard value to the carbon dioxide concentration. This represents the standard value used to measure water vapor concentration. This indicates the weighting of the ratio of the standard value to the water vapor concentration. This represents the standard value used to measure carbon monoxide concentration. This indicates the weighting of the ratio of the standard value to the carbon monoxide concentration. This represents the standard value used to measure particulate matter concentration. This indicates the weighting of the ratio of the standard value to the particulate matter concentration. , , , , and All are constants, and , Indicates according to , , , , and The weights are used to calculate the mass coefficient of the mixed gas inside the high-temperature heat pump.

[0024] Preferably, the fluctuation data group If any value exceeds the flow fluctuation range When this occurs, it indicates that the intake air volume flow rate of the high-temperature heat pump is abnormal, and the heat exchange performance has been affected. It is recommended that managers adjust the control parameters of the high-pressure heat pump in a timely manner.

[0025] Preferably, the monitoring data set In the middle, the temperature difference value exceeds the temperature difference range. This indicates that the temperature in the intake pipe of the high-temperature heat pump is abnormal, and the pressure difference exceeds the pressure difference range. This indicates that the pressure in the intake pipe of the high-temperature heat pump exceeds the standard, and the compression ratio difference exceeds the compression difference range. When this occurs, it indicates that the compression ratio of the high-temperature heat pump compressor exceeds the standard, and the specific heat capacity difference value exceeds the heat capacity difference range. When this occurs, it indicates that the specific heat capacity of the refrigerant in the high-temperature heat pump exceeds the standard, and the thermal resistance difference exceeds the thermal resistance difference range. When the temperature exceeds the limit, it indicates that the thermal resistance of the high-temperature heat pump heat exchanger exceeds the standard, and the viscosity difference exceeds the viscosity difference range. When the viscosity of the high-temperature heat pump lubricating oil exceeds the standard, the power factor difference exceeds the range of the factor difference threshold. If the temperature exceeds the limit, it indicates that the power factor of the high-temperature heat pump is too high, and it is recommended to stop the air intake immediately.

[0026] Preferably, the quality coefficient Below the quality range When this occurs, it indicates that the energy quality of the mixed gas inside the high-temperature heat pump is low, which accelerates the wear rate of the high-temperature heat pump components. It is recommended to stop the gas intake in time.

[0027] Compared with the prior art, the present invention provides a high-temperature heat pump intake detection system, which has the following beneficial effects:

[0028] 1. This invention uses a data acquisition module to connect a flow meter, a sensor, and a gas analyzer via a network to acquire the volumetric flow rate of each intake, sensor data at each monitoring point, and composition data of the mixed gas inside the high-temperature heat pump. These data are then categorized into intake data sets, sensor data sets, and composition data sets. The intelligent monitoring module is set to a fixed monitoring cycle. Then, based on the intake data set, analyze the degree of fluctuation for each intake and generate corresponding fluctuation data sets. Stable flow rate avoids frequent compressor start-stop, high-quality gas improves heat exchange efficiency, and the intelligent monitoring module analyzes the operating status of each monitoring point based on sensor data sets to generate corresponding monitoring data sets. Based on real-time data analysis, the randomness of human intervention is reduced, and the scientific nature and safety of operation are improved. The intelligent monitoring module analyzes the energy quality of the mixed gas inside the high-temperature heat pump according to the composition dataset and generates the corresponding quality coefficient. It comprehensively reflects the energy quality of the mixed gas, and the dynamic weight configuration can be adjusted according to actual needs. Specifically, in polluted environments, the weight of CO or particulate matter can be increased to ensure that the assessment results are more in line with actual working conditions and to achieve the optimization of energy utilization. The multidimensional analysis has high sensitivity.

[0029] 2. This invention uses an intelligent monitoring module to set a fixed range of flow fluctuation intervals. Temperature difference range Pressure difference range Compression difference range Thermal capacity difference range Thermal resistance difference range Viscosity difference range Interval of factor differences and quality range Combined with fluctuation data sets Monitoring data group and quality coefficient It assesses the stability of the inlet airflow of high-temperature heat pumps, the stability of the operation process, and the energy quality of the internal mixed gas, and outputs corresponding management suggestions to avoid the decrease in heat exchange efficiency or equipment wear caused by unstable flow. It helps managers to intervene in advance to avoid sudden failures and the accelerated wear of components or reduction of heat pump efficiency by low-quality gas, and achieves high energy utilization efficiency through intelligent management. Attached Figure Description

[0030] Figure 1 This is a system flowchart of the present invention. Detailed Implementation

[0031] 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 some embodiments of the present invention, and not all embodiments. 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.

[0032] Traditional high-temperature heat pump inlet detection systems have significant limitations when dealing with complex operating conditions. They lack sufficient sensitivity to the composition and properties of special gases, making it difficult to accurately detect even the slightest changes in the gas. This problem directly leads to errors in judging the inlet status of the heat pump system, resulting in continuous changes in the system load and ultimately causing adverse consequences such as degraded system performance and increased measurement errors. Therefore, a high-temperature heat pump inlet detection system is provided. Please refer to [link / reference]. Figure 1 A high-temperature heat pump intake detection system includes a data acquisition module and an intelligent monitoring module;

[0033] The data acquisition module consists of an intake data unit, a sensor data unit, and a composition data unit. The intake data unit collects intake data via a network connection to a flow meter. The expression for the intake data set is: , to Indicates the first to the second Volumetric flow rate of the second intake to This indicates the order from morning to evening, from the first to the last. The time point at which the intake volumetric flow rate is obtained;

[0034] The sensing data unit collects sensing datasets via a network connection to the sensing device. The expression for the sensing dataset is: , to Indicates the first to the second The monitoring data includes sensor data from several monitoring points, such as pipe temperature, pipe pressure, compressor compression ratio, refrigerant specific heat capacity, heat exchanger thermal resistance, lubricating oil viscosity, and power factor. to This indicates retrieving the first to the last items in chronological order, from earliest to latest. The time point of each monitoring point's sensor data;

[0035] The composition data unit acquires composition datasets via a network connection to a gas analyzer. The expression for the composition dataset is: , This indicates the oxygen concentration in the gas mixture inside a high-temperature heat pump. This indicates the nitrogen concentration in the gas mixture inside the high-temperature heat pump. This indicates the carbon dioxide concentration in the mixed gas inside the high-temperature heat pump. This indicates the water vapor concentration in the mixed gas inside a high-temperature heat pump. This indicates the carbon monoxide concentration in the gas mixture inside a high-temperature heat pump. This indicates the particulate matter concentration in the mixed gas inside a high-temperature heat pump. to This indicates the time points in chronological order, from morning to evening, for acquiring data on the first to sixth components of the mixed gas inside the high-temperature heat pump;

[0036] The intelligent monitoring module consists of a flow analysis unit, an operation analysis unit, a gas assessment unit, and a heat pump management unit. The intelligent monitoring module is set with a fixed monitoring cycle. The flow analysis unit analyzes the fluctuation level of each intake based on the intake data set and generates corresponding fluctuation data sets. The calculation process is as follows:

[0037] ;

[0038] ;

[0039] In the formula, Indicates the monitoring period Total number of internal air intakes Indicates the monitoring period Internal, average intake volume flow rate, Indicates the first Volumetric flow rate of the second intake , This means calculating and summing the absolute differences between the intake volume flow rate and the average value for each intake cycle. This means that the standard deviation of the intake volume flow rate is calculated according to the standard deviation formula. A stable flow rate can avoid frequent start-stop of the compressor, and high-quality gas can improve heat exchange efficiency.

[0040] The operation analysis unit analyzes the operational status of each monitoring point based on the sensor dataset and generates corresponding monitoring data sets. The calculation process is as follows:

[0041] Based on the sensor dataset, extract the first... Sensor data from each monitoring point;

[0042] ;

[0043] In the formula, Indicates the monitoring period Starting time pipe temperature Pipe temperature at end time The difference, Indicates the monitoring period Initial time pipeline pressure Pipeline pressure at the end time The difference, Indicates the monitoring period Start-up time compressor compression ratio Compressor compression ratio with end time The difference in compression ratio indicates that an excessively high compression ratio will lead to increased compressor power consumption. Indicates the monitoring period Initial time refrigerant specific heat capacity Specific heat capacity of refrigerant at the end time The difference in specific heat capacity can lead to abnormal high-temperature heat pump pressure, decreased heat exchange efficiency, or the risk of liquid slugging in the compressor. Indicates the monitoring period Initial time heat exchanger thermal resistance Heat exchanger thermal resistance at the end time The difference in thermal resistance indicates that excessively high thermal resistance will lead to a decrease in the energy efficiency ratio of high-temperature heat pumps. Indicates the monitoring period Initial time lubricating oil viscosity Lubricating oil viscosity at the end time The difference in viscosity means that high-viscosity lubricating oil increases compressor frictional power consumption, and poor separation from the refrigerant hinders heat exchange. Indicates the monitoring period Start-time power factor With end time power factor The difference in power factor indicates that a low power factor increases line losses and indirectly affects energy efficiency. (Monitoring data set) Based on real-time data analysis, the randomness of human intervention is reduced, and the scientific nature and safety of the operation are improved.

[0044] The gas evaluation unit analyzes the energy quality of the mixed gas inside the high-temperature heat pump based on the composition dataset and generates the corresponding quality coefficient. The calculation process is as follows:

[0045] ;

[0046] In the formula, This represents the standard value used to measure oxygen concentration. This indicates the weighting of the ratio of oxygen concentration to the standard value. This represents the standard value used to measure nitrogen concentration. This indicates the weighting of the ratio of the standard value to the nitrogen concentration. This represents the standard value used to measure carbon dioxide concentration. This indicates the weighting of the ratio of the standard value to the carbon dioxide concentration. This represents the standard value used to measure water vapor concentration. This indicates the weighting of the ratio of the standard value to the water vapor concentration. This represents the standard value used to measure carbon monoxide concentration. This indicates the weighting of the ratio of the standard value to the carbon monoxide concentration. This represents the standard value used to measure particulate matter concentration. This indicates the weighting of the ratio of the standard value to the particulate matter concentration. , , , , and All are constants, and , Indicates according to , , , , and The weighting is calculated to obtain the mass coefficient of the mixed gas inside the high-temperature heat pump, which comprehensively reflects the energy quality of the mixed gas. The dynamic weighting configuration can be adjusted according to actual needs. Specifically, in polluted environments, the weight of CO or particulate matter is increased to ensure that the evaluation results are more in line with actual working conditions and to achieve the optimization of energy utilization. The multidimensional analysis has high sensitivity.

[0047] The heat pump management unit is set with a fixed range of flow fluctuations. Temperature difference range Pressure difference range Compression difference range Thermal capacity difference range Thermal resistance difference range Viscosity difference range Interval of factor differences and quality range Combined with fluctuation data sets Monitoring data group and quality coefficient The stability of the inlet airflow of the high-temperature heat pump, the stability of the operation process, and the energy quality of the internal mixed gas are evaluated, and corresponding management recommendations are output.

[0048] Volatility Data Group If any value exceeds the flow fluctuation range When this occurs, it indicates that the intake air volume flow rate of the high-temperature heat pump is abnormal, and the heat exchange performance has been affected. It is recommended that managers adjust the control parameters of the high-pressure heat pump in a timely manner to avoid a decrease in heat exchange efficiency or equipment wear due to unstable flow.

[0049] Monitoring data group In the middle, the temperature difference value exceeds the temperature difference range. This indicates that the temperature in the intake pipe of the high-temperature heat pump is abnormal, and the pressure difference exceeds the pressure difference range. This indicates that the pressure in the intake pipe of the high-temperature heat pump exceeds the standard, and the compression ratio difference exceeds the compression difference range. When this occurs, it indicates that the compression ratio of the high-temperature heat pump compressor exceeds the standard, and the specific heat capacity difference value exceeds the heat capacity difference range. When this occurs, it indicates that the specific heat capacity of the refrigerant in the high-temperature heat pump exceeds the standard, and the thermal resistance difference exceeds the thermal resistance difference range. When the temperature exceeds the limit, it indicates that the thermal resistance of the high-temperature heat pump heat exchanger exceeds the standard, and the viscosity difference exceeds the viscosity difference range. When the viscosity of the high-temperature heat pump lubricating oil exceeds the standard, the power factor difference exceeds the range of the factor difference threshold. When this occurs, it indicates that the power factor of the high-temperature heat pump exceeds the standard. It is recommended to stop the air intake in time to help managers intervene in advance and avoid sudden failures.

[0050] quality coefficient Below the quality range When the energy quality of the mixed gas inside the high-temperature heat pump is low, it accelerates the wear rate of the high-temperature heat pump components. It is recommended to stop the gas intake in time to avoid low-quality gas accelerating component wear or reducing heat pump efficiency. Intelligent management ensures high energy utilization.

[0051] Example 1:

[0052] In this experiment, a high-temperature air pump was selected as the experimental object, and the monitoring period was... Set to 5 minutes, monitoring cycle The start time was 0:00 am and the end time was 0:05 am. Statistics showed that within 5 minutes, the volumetric flow rate of the five air intakes was 100 m³ / s. 3 / h, 105m 3 / h、98m 3 / h、102m 3 / h and 99m 3 The data sets for the intake air volume flow rate fluctuations of this high-temperature air pump were obtained at the following times: 0:01 AM (first time), 0:02 AM (second time), 0:03 AM (third time), 0:04 AM (fourth time), and 0:05 AM (fifth time). The calculation process is as follows:

[0053] ;

[0054] ;

[0055] ;

[0056] In the formula, This indicates the total number of air intakes within 5 minutes. This indicates the average intake volumetric flow rate over a 5-minute period. Indicates the first Volumetric flow rate of the second intake , This represents the sum of the absolute differences between each intake volumetric flow rate and the average value. Using the standard deviation formula, the standard deviation of the intake volumetric flow rate is approximately... Traffic fluctuation range Set to 0~10m 3 / h, after assessment, the fluctuation data group In the meantime, the standard deviation value has exceeded the flow fluctuation range. This indicates that the intake air volume flow rate of the high-temperature heat pump is abnormal, and the heat exchange performance has been affected. It is recommended that the management personnel adjust the control parameters of the high-pressure heat pump in a timely manner.

[0057] Example 2:

[0058] In this experiment, a high-temperature air pump was selected as the experimental object, and the monitoring period was... The monitoring data was set to 10 minutes. Ten minutes prior, the pipe temperature was 30℃, the pipe pressure was 3 bar, the compressor compression ratio was 4, the refrigerant specific heat capacity was 2 kJ / (kg·K), the heat exchanger thermal resistance was 0.1 K / W, the lubricating oil viscosity was 100 cP, and the power factor was 0.9. Ten minutes later, the pipe temperature was 35℃, the pipe pressure was 5 kPa, the compressor compression ratio was 4.3, the refrigerant specific heat capacity was 2.05 kJ / (kg·K), the heat exchanger thermal resistance was 0.11 K / W, the lubricating oil viscosity was 110 cP, and the power factor was 0.92. This is the monitoring data set after the high-temperature gas pump intake. The calculation process is as follows:

[0059] ;

[0060] In the formula, Indicates the monitoring period Starting time pipe temperature Pipe temperature at end time The difference, Indicates the monitoring period Initial time pipeline pressure Pipeline pressure at the end time The difference, Indicates the monitoring period Start-up time compressor compression ratio Compressor compression ratio with end time The difference, Indicates the monitoring period Initial time refrigerant specific heat capacity Specific heat capacity of refrigerant at the end time The difference, Indicates the monitoring period Initial time heat exchanger thermal resistance Heat exchanger thermal resistance at the end time The difference, Indicates the monitoring period Initial time lubricating oil viscosity Lubricating oil viscosity at the end time The difference, Indicates the monitoring period Start-time power factor With end time power factor The difference, temperature difference range Set to 0~10℃, pressure difference range Set to 0-3 bar, compression difference range Set to 0~0.2, thermal tolerance range Set to 0–0.1 kJ / (kg·K), thermal resistance difference range Set to 0–0.1 K / W, viscosity difference range Set to 0-12 cP, factor difference interval Set to 0-1, the compression ratio difference is determined. It has exceeded the compression difference range. This indicates that the compression ratio of the high-temperature heat pump compressor is too high, and it is recommended to stop the air intake immediately.

[0061] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A high-temperature heat pump intake detection system, characterized in that: Includes a data acquisition module and an intelligent monitoring module; The data acquisition module consists of an intake data unit, a sensor data unit, and a composition data unit. The intake data unit collects intake data through a network connection to a flow meter, the sensor data unit collects sensor data through a network connection to a sensor device, and the composition data unit collects composition data through a network connection to a gas analyzer. The intelligent monitoring module consists of a flow analysis unit, an operation analysis unit, a gas assessment unit, and a heat pump management unit. The intelligent monitoring module is set with a monitoring cycle of fixed duration. The flow analysis unit analyzes the fluctuation level of each intake based on the intake data set and generates corresponding fluctuation data sets. The operation analysis unit analyzes the operating status of each monitoring point based on the sensor dataset and generates corresponding monitoring data sets. The gas evaluation unit analyzes the energy quality of the mixed gas inside the high-temperature heat pump based on the composition dataset and generates the corresponding quality coefficient. The heat pump management unit is configured with a fixed range of flow fluctuations. Temperature difference range Pressure difference range Compression difference range Thermal capacity difference range Thermal resistance difference range Viscosity difference range Interval of factor differences and quality range Combined with fluctuation data sets Monitoring data group and quality coefficient The stability of the inlet airflow of the high-temperature heat pump, the stability of the operation process, and the energy quality of the internal mixed gas are evaluated, and corresponding management recommendations are output. The fluctuation data group If any value exceeds the flow fluctuation range When this occurs, it indicates that the intake air volume flow rate of the high-temperature heat pump is abnormal, and the heat exchange performance has been affected. It is recommended that the management personnel adjust the control parameters of the high-pressure heat pump in a timely manner. The monitoring data group In the middle, the temperature difference value exceeds the temperature difference range. This indicates that the temperature in the intake pipe of the high-temperature heat pump is abnormal, and the pressure difference exceeds the pressure difference range. This indicates that the pressure in the intake pipe of the high-temperature heat pump exceeds the standard, and the compression ratio difference exceeds the compression difference range. When this occurs, it indicates that the compression ratio of the high-temperature heat pump compressor exceeds the standard, and the specific heat capacity difference value exceeds the heat capacity difference range. When this occurs, it indicates that the specific heat capacity of the refrigerant in the high-temperature heat pump exceeds the standard, and the thermal resistance difference exceeds the thermal resistance difference range. When the temperature exceeds the limit, it indicates that the thermal resistance of the high-temperature heat pump heat exchanger exceeds the standard, and the viscosity difference exceeds the viscosity difference range. When the viscosity of the high-temperature heat pump lubricating oil exceeds the standard, the power factor difference exceeds the range of the factor difference threshold. If this occurs, it indicates that the power factor of the high-temperature heat pump is exceeding the standard, and it is recommended to stop the air intake immediately. The quality coefficient Below the quality range When this occurs, it indicates that the energy quality of the mixed gas inside the high-temperature heat pump is low, which accelerates the wear rate of the high-temperature heat pump components. It is recommended to stop the gas intake in time.

2. The high-temperature heat pump intake detection system according to claim 1, characterized in that: The expression for the intake data set is: , to Indicates the first to the second Volumetric flow rate of the second intake to This indicates the order from morning to evening, from the first to the last. The time point at which the intake volumetric flow rate is obtained.

3. The high-temperature heat pump intake detection system according to claim 2, characterized in that: The expression for the sensing dataset is: , to Indicates the first to the second The monitoring data includes sensor data from several monitoring points, such as pipe temperature, pipe pressure, compressor compression ratio, refrigerant specific heat capacity, heat exchanger thermal resistance, lubricating oil viscosity, and power factor. to This indicates retrieving the first to the last items in chronological order, from earliest to latest. The time points of the sensor data from each monitoring point.

4. The high-temperature heat pump intake detection system according to claim 3, characterized in that: The expression for the component dataset is: , This indicates the oxygen concentration in the gas mixture inside a high-temperature heat pump. This indicates the nitrogen concentration in the gas mixture inside the high-temperature heat pump. This indicates the carbon dioxide concentration in the mixed gas inside the high-temperature heat pump. This indicates the water vapor concentration in the mixed gas inside a high-temperature heat pump. This indicates the carbon monoxide concentration in the gas mixture inside a high-temperature heat pump. This indicates the particulate matter concentration in the mixed gas inside a high-temperature heat pump. to This indicates the time points in chronological order, from morning to night, for acquiring data on the first to sixth components of the mixed gas inside the high-temperature heat pump.

5. The high-temperature heat pump intake detection system according to claim 4, characterized in that: The fluctuation data group The calculation process is as follows: ； ； In the formula, Indicates the monitoring period Total number of internal air intakes Indicates the monitoring period Internal, average intake volume flow rate Indicates the first Volumetric flow rate of the second intake , This means calculating and summing the absolute differences between the intake volume flow rate and the average value for each intake cycle. This indicates the standard deviation of the intake volumetric flow rate calculated using the standard deviation formula.

6. The high-temperature heat pump intake detection system according to claim 5, characterized in that: The monitoring data group The calculation process is as follows: Based on the sensor dataset, extract the first... Sensor data from each monitoring point; ； In the formula, Indicates the monitoring period Starting time pipe temperature Pipe temperature at end time The difference, Indicates the monitoring period Initial time pipeline pressure Pipeline pressure at the end time The difference, Indicates the monitoring period Start-up time compressor compression ratio Compressor compression ratio with end time The difference, Indicates the monitoring period Initial time refrigerant specific heat capacity Specific heat capacity of refrigerant at the end time The difference, Indicates the monitoring period Initial time heat exchanger thermal resistance Heat exchanger thermal resistance at the end time The difference, Indicates the monitoring period Initial time lubricating oil viscosity Lubricating oil viscosity at the end time The difference, Indicates the monitoring period Start-time power factor With end time power factor The difference.

7. The high-temperature heat pump intake detection system according to claim 6, characterized in that: The quality coefficient The calculation process is as follows: ； In the formula, This represents the standard value used to measure oxygen concentration. This indicates the weighting of the ratio of oxygen concentration to the standard value. This represents the standard value used to measure nitrogen concentration. This indicates the weighting of the ratio of the standard value to the nitrogen concentration. This represents the standard value used to measure carbon dioxide concentration. This indicates the weighting of the ratio of the standard value to the carbon dioxide concentration. This represents the standard value used to measure water vapor concentration. This indicates the weighting of the ratio of the standard value to the water vapor concentration. This represents the standard value used to measure carbon monoxide concentration. This indicates the weighting of the ratio of the standard value to the carbon monoxide concentration. This represents the standard value used to measure particulate matter concentration. This indicates the weighting of the ratio of the standard value to the particulate matter concentration. , , , , and All are constants, and , Indicates according to , , , , and The weights are used to calculate the mass coefficient of the mixed gas inside the high-temperature heat pump.

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