Refrigerating unit operation monitoring system and method based on characteristic curve analysis

Abstract

The invention provides a refrigerating unit operation monitoring system and method based on characteristic curve analysis, and belongs to the technical field of refrigerating unit operation monitoring. Comprising a data acquisition module used for acquiring annular data of a refrigerating unit, a data transmission module used for transmitting the annular data to a data processing center, and the data processing center used for generating a refrigerating unit characteristic curve based on the annular data and carrying out data calibration and linearization processing. And the display module is used for displaying the processed annular data on the terminal. According to the invention, on the basis of simultaneously acquiring various operating parameters of each operating component in the refrigerating unit, accurate acquisition and correction of the data of the refrigerating unit can be ensured, so that comprehensive, real-time and accurate monitoring of the operating condition of the refrigerating unit is realized.

Description

Technical Field

[0001] The present invention belongs to the technical field of refrigeration unit operation monitoring, and in particular relates to a refrigeration unit operation monitoring system and method based on characteristic curve analysis. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] Refrigeration units are essential equipment in industrial production, commercial buildings, data centers, and other locations. Monitoring their operating status is crucial for ensuring stable system operation and improving energy efficiency. With the advancement of industrial automation and information technology, refrigeration unit monitoring systems are constantly being upgraded and improved.

[0004] However, the existing refrigeration unit operation monitoring system still has some common technical problems, such as:

[0005] (1) The existing monitoring system's parameter monitoring is not comprehensive enough. It is unable to simultaneously monitor all key parameters such as suction pressure, exhaust pressure, suction temperature, injection temperature, motor current, and the liquid level, pressure, and temperature of the low-pressure circulation barrel, high-pressure circulation barrel, and intercooler, resulting in an incomplete understanding of the unit's operating status. At the same time, the scattered monitoring equipment can only monitor a single parameter or local equipment, lacking systematicity and integration, making it difficult for operators to fully understand the overall operating status of the refrigeration unit. For example, in large cold storage or industrial refrigeration scenarios, due to the large number of equipment and their wide distribution, traditional monitoring methods not only consume a lot of manpower and material resources, but are also prone to missed detections and misjudgments, affecting the normal operation of the refrigeration unit and increasing the risk of equipment damage and operating costs.

[0006] (2) The data is not accurate enough: After the existing monitoring system obtains the collected operating data, it directly uses the data as the standard for determining the operating status of the refrigeration unit, but lacks a data calibration process, resulting in inaccurate data analysis.

[0007] (3) Existing technologies lack a real-time status display function and are unable to display the status of each evaporative cooling unit and its operation status in real time, making it difficult to timely grasp the equipment's operating status, which affects the operator's judgment and decision-making on the system's operating conditions. At the same time, the operation monitoring of most refrigeration systems relies on manual inspections and decentralized monitoring equipment; manual inspections cannot obtain equipment operating data in real time, resulting in untimely monitoring and difficulty in timely detecting potential fault hazards.

[0008] (4) Inconvenience in data recording and storage: There is no perfect real-time data recording and storage function, which is not conducive to the analysis of historical data and difficult to provide a basis for equipment fault diagnosis and performance optimization. Summary of the Invention

[0009] In order to overcome the shortcomings of the above-mentioned prior art, the present invention provides a refrigeration unit operation monitoring system and method based on characteristic curve analysis, which can ensure the accurate acquisition and correction of refrigeration unit data on the basis of simultaneous collection of multiple operating parameters of each operating component in the refrigeration unit, thereby realizing comprehensive, real-time and precise monitoring of the operating status of the refrigeration unit.

[0010] To achieve the above objectives, one or more embodiments of the present invention provide the following technical solutions:

[0011] A first aspect of the present invention provides a refrigeration unit operation monitoring system based on characteristic curve analysis.

[0012] A refrigeration unit operation monitoring system based on characteristic curve analysis includes: a data acquisition module, a data transmission module, a data processing center and a display module;

[0013] The data acquisition module is used to collect the annular data of the refrigeration unit; wherein the annular data includes the unit operation parameters, auxiliary equipment parameters, pump parameters and status parameters;

[0014] The data transmission module is used to transmit the collected ring data to the data processing center;

[0015] The data processing center is used to generate a refrigeration unit characteristic curve based on the obtained ring data, and perform data calibration and linearization processing on the refrigeration unit characteristic curve;

[0016] The display module is used to display the processed ring data on the terminal to realize the operation monitoring of the refrigeration unit.

[0017] Furthermore, pressure sensors, temperature sensors and current sensors are installed at the intake pipe, exhaust pipe, oil nozzle and motor of the refrigeration unit to collect the unit operating parameters of the refrigeration unit; liquid level sensors, pressure sensors and temperature sensors are installed at the low-pressure circulation barrel, high-pressure circulation barrel and intercooler of the refrigeration unit to collect the auxiliary equipment parameters of the refrigeration unit.

[0018] Furthermore, pressure sensors and current sensors are installed on the inlet and outlet pipes of each pump in the refrigeration unit to collect the pump parameters of the refrigeration unit; a state detection circuit is set in the control circuit of the refrigeration unit to collect the state parameters of the refrigeration unit.

[0019] Furthermore, the data transmission module transmits the collected ring data to the data processing center via Modbus RTU communication.

[0020] Furthermore, the data processing center includes an industrial computer, a programmable logic controller and a database.

[0021] Furthermore, the industrial computer is used to receive the ring data of the data transmission module, the programmable logic controller is used to generate a refrigeration unit characteristic curve based on the ring data, and perform data calibration and linearization processing on the refrigeration unit characteristic curve; the database is used to store the processed ring data.

[0022] Furthermore, the data calibration and linearization processing includes: calculating the actual temperature based on the temperature correction method, calculating the actual pressure based on the pressure correction method, calculating the actual flow based on the flow correction method, and calculating the actual current and voltage based on the current and voltage correction method.

[0023] A second aspect of the present invention provides a refrigeration unit operation monitoring method based on characteristic curve analysis.

[0024] A method for monitoring the operation of a refrigeration unit based on characteristic curve analysis, comprising:

[0025] Collecting annular data of the refrigeration unit; wherein the annular data includes unit operating parameters, auxiliary equipment parameters, pump parameters and status parameters;

[0026] generating a refrigeration unit characteristic curve based on the obtained annular data, and performing data calibration and linearization processing on the refrigeration unit characteristic curve;

[0027] The processed ring data is displayed on the terminal to realize the operation monitoring of the refrigeration unit.

[0028] A third aspect of the present invention provides a computer-readable storage medium having a program stored thereon, which, when executed by a processor, implements the steps of a refrigeration unit operation monitoring method based on characteristic curve analysis as described in the second aspect of the present invention.

[0029] The fourth aspect of the present invention provides an electronic device, including a memory, a processor, and a program stored in the memory and executable on the processor. When the processor executes the program, the steps in the method for monitoring the operation of a refrigeration unit based on characteristic curve analysis as described in the second aspect of the present invention are implemented.

[0030] One or more of the above technical solutions have the following beneficial effects:

[0031] (1) The present invention provides a refrigeration unit operation monitoring system based on characteristic curve analysis, including a data acquisition module, a data transmission module, a data processing center and a display module; the data acquisition module is used to collect the annular data of the refrigeration unit; wherein the annular data includes the unit operation parameters, auxiliary equipment parameters, pump parameters and status parameters. The present application can not only simultaneously monitor the suction pressure, exhaust pressure, suction temperature, injection temperature, and motor current, but also simultaneously collect all key parameters such as the liquid level, pressure, barrel temperature of the low-pressure circulation barrel, high-pressure circulation barrel, and intercooler, as well as pump pressure, current, etc. Therefore, compared with the prior art, the parameters detected by the present invention are more comprehensive, and there will be no missed detection, misjudgment, etc., which has a positive effect on the normal operation of the refrigeration unit, as well as reducing the risk of equipment damage and operating costs.

[0032] (2) In the refrigeration unit operation monitoring system of the present invention, the data processing center can be used to generate a refrigeration unit characteristic curve based on the ring data, and perform data calibration and linearization processing on the refrigeration unit characteristic curve, thereby generating corrected actual temperature, actual pressure, actual flow, and actual current and voltage data. Therefore, the data used by the present invention to analyze the operating status of the refrigeration unit is more accurate.

[0033] (3) The refrigeration unit operation monitoring system of the present invention is provided with a display terminal specifically for displaying the processed circular data on the terminal. This can display the start-up status of each evaporative cooling unit and the unit in real time, thereby timely understanding the operation status of the equipment and providing assistance to the operator in judging and making decisions on the system operation status. At the same time, the present invention no longer relies on manual inspections or decentralized monitoring equipment to obtain equipment operation data. The monitoring is more intuitive, comprehensive, and timely, facilitating the rapid discovery of potential fault hazards.

[0034] (4) The refrigeration unit operation monitoring system of the present invention is provided with a database (located in the data processing center) specifically for data storage. With the support of the database, the present invention can record and store the collected refrigeration unit operation data in real time, thereby providing data support for the next step of equipment fault diagnosis and performance optimization.

[0035] Advantages of additional aspects of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The accompanying drawings, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0037] Figure 1This is a structural diagram of a refrigeration unit operation monitoring system based on characteristic curve analysis in Example 1 of the present invention.

[0038] Figure 2 This is a flow chart of a method for monitoring the operation of a refrigeration unit based on characteristic curve analysis in Example 2 of the present invention. DETAILED DESCRIPTION

[0039] It should be noted that the following detailed descriptions are exemplary and intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which the present invention belongs.

[0040] It should be noted that the terms used herein are for describing particular embodiments only and are not intended to be limiting of exemplary embodiments according to the present invention.

[0041] In the absence of conflict, the embodiments of the present invention and the features thereof may be combined with each other.

[0042] Example 1

[0043] This embodiment discloses a refrigeration unit operation monitoring system based on characteristic curve analysis.

[0044] A refrigeration unit operation monitoring system based on characteristic curve analysis includes: a data acquisition module, a data transmission module, a data processing center and a display module;

[0045] The data acquisition module is used to collect the annular data of the refrigeration unit; wherein the annular data includes the unit operation parameters, auxiliary equipment parameters, pump parameters and status parameters;

[0046] The data transmission module is used to transmit the collected ring data to the data processing center;

[0047] The data processing center is used to generate a refrigeration unit characteristic curve based on the obtained ring data, and perform data calibration and linearization processing on the refrigeration unit characteristic curve;

[0048] The display module is used to display the processed ring data on the terminal to realize the operation monitoring of the refrigeration unit.

[0049] Based on the above design, the present invention can simultaneously collect multiple operating parameters of each operating component in the refrigeration unit, ensure accurate acquisition and correction of refrigeration unit data, and thus achieve comprehensive, real-time, and accurate monitoring of the refrigeration unit's operating status. To facilitate understanding of the technical solution of the present invention, the following further explains and illustrates the specific implementation methods of the technical solution of the present invention.

[0050] The present invention provides a refrigeration unit operation monitoring system based on characteristic curve analysis, comprising: a data acquisition module, a data transmission module, a data processing center, and a display module. The specific designs of the modules in the refrigeration unit operation monitoring system are as follows:

[0051] A. The data acquisition module is used to collect the ring data of the refrigeration unit; the ring data includes the unit operation parameters, auxiliary equipment parameters, pump parameters and status parameters. Specifically:

[0052] To facilitate the collection of refrigeration unit operating parameters, pressure sensors, temperature sensors, and current sensors are installed in locations such as the refrigeration unit's intake and exhaust ducts, the fuel injection port, and the motor. As an optional embodiment, intake and exhaust pressures can be collected using high-precision pressure sensors, intake and fuel injection temperatures using thermistor-type temperature sensors, and motor current can be collected using current transformers. These sensors convert the collected physical quantities into electrical signals.

[0053] To facilitate the collection of parameters from the refrigeration unit's auxiliary equipment, liquid level sensors, pressure sensors, and temperature sensors are installed at locations such as the refrigeration unit's low-pressure circulation tank, high-pressure circulation tank, and intercooler. As an optional embodiment, the liquid level sensor can be an ultrasonic level sensor, the pressure sensor can be a strain gauge pressure sensor suitable for high and low pressure environments, and the temperature sensor can also be a thermistor. Each sensor converts the corresponding liquid level, pressure, and temperature signals into electrical signals.

[0054] To facilitate the collection of refrigeration unit pump parameters, pressure sensors and current sensors are installed on the inlet and outlet pipes of each pump in the refrigeration unit. The pressure sensor measures the pump pressure, while the current sensor collects the current of the pump motor. The pressure and current sensors convert the collected signals into electrical signals.

[0055] To facilitate the collection of refrigeration unit status parameters, a status detection circuit is installed in the refrigeration unit's control circuit. Specifically, the on / off signal of each evaporative cooling unit is obtained by installing a status detection circuit in the device's control circuit to determine whether it is on or off.

[0056] The above-mentioned data acquisition scheme adopts multi-parameter integrated acquisition technology, that is, a reasonable sensor layout and acquisition scheme is designed for the various parameters of the refrigeration unit and related equipment, thereby realizing comprehensive, accurate and real-time acquisition of multiple parameters. On this basis, it helps to improve the operation management efficiency of the refrigeration unit and enhance the safety of equipment operation. Specifically: a variety of operating parameters are displayed in real time and centrally, so that operators can fully understand the operating status of the refrigeration unit without having to patrol between various equipment, detect abnormalities in time, and improve management efficiency; at the same time, real-time monitoring of the liquid level, pressure and temperature of auxiliary equipment, as well as the operating parameters and status of pumps and various equipment, can provide early warning of potential faults, avoid equipment damage and production accidents, and ensure safe and stable operation of equipment.

[0057] B. The data transmission module is used to transmit the collected ring data to the data processing center. Specifically:

[0058] As another optional embodiment, the data transmission module includes a wired transmission unit and a wireless transmission unit. The wired transmission unit utilizes an RS485 bus and an Ethernet interface, while the wireless transmission unit utilizes a Wi-Fi module and a 4G module. The data acquisition module connects to the wired transmission unit via an RS485 bus or Ethernet interface and to the wireless transmission unit via a Wi-Fi module or a 4G module. The data transmission module transmits the data collected by the data acquisition unit to an industrial computer in a data processing center via wired or wireless communication. Alternatively, the data transmission module transmits the collected ring data to the industrial computer in the data processing center via Modbus RTU communication.

[0059] The above data transmission scheme of the present invention adopts data transmission technology, that is, adopts a reliable data transmission method to ensure stable data transmission over long distances and multiple devices.

[0060] C. The data processing center is used to generate the refrigeration unit characteristic curve based on the obtained ring data, and perform data calibration and linearization processing on the refrigeration unit characteristic curve.

[0061] The data processing center includes an industrial computer, a programmable logic controller (PLC), and a database. The industrial computer receives circular data from the data transmission module, while the PLC generates the refrigeration unit characteristic curve based on the circular data and performs data calibration and linearization on the refrigeration unit characteristic curve. The database stores the processed circular data. The design of the data processing center ensures that after receiving data from the data transmission module, it calibrates and linearizes the data based on the sensor characteristic curve, effectively improving data accuracy.

[0062] As an optional embodiment, a high-performance industrial computer is used. Specifically, it is equipped with an Intel Xeon E3-1275 v6 processor (4 cores, 8 threads, 3.8 GHz main frequency, 4.2 GHz turbo frequency, and industrial-grade stability) and 32 GB of DDR4 ECC memory. The industrial computer is installed with data processing software corresponding to each module of the refrigeration unit operation monitoring system.

[0063] As an optional embodiment, the database uses the relational database MySQL to store processed data. The database is provided with multiple data tables, including a unit operating parameter table, an auxiliary equipment parameter table, a pump parameter table, and a status parameter table. The unit operating parameter table is used to store the operating parameters of the refrigeration unit, including inlet water temperature, outlet water temperature, condenser temperature, evaporator temperature, inlet water pressure, outlet water pressure, refrigerant pressure, water flow, current, voltage, etc.; the auxiliary equipment parameter table is used to store the operating parameters of the auxiliary equipment, including cooling tower fan speed, cooling tower water temperature, cooling tower water level, etc.; the pump parameter table is used to store the operating parameters of the pump, including pump flow, pressure, current, voltage, etc.; the status parameter table is used to store the on / off status of the device.

[0064] Furthermore, data calibration and linearization processing includes: calculating the actual temperature based on the temperature correction method, calculating the actual pressure based on the pressure correction method, calculating the actual flow based on the flow correction method, and calculating the actual current and voltage based on the current and voltage correction method. Specifically:

[0065] Calculate the actual temperature based on the temperature correction method: For the temperature sensor, a PT100 platinum resistance temperature sensor is used, and its characteristic curve is:

[0066] R=R0(1+αt);

[0067] Where R represents the resistance value, R0 represents the resistance value (100Ω) at 0°C, α represents the temperature coefficient (0.00385Ω / °C), and t represents the temperature. The data processing center calculates the actual temperature based on the measured resistance value R using the formula t = (R / R0-1) / α.

[0068] Calculate the actual pressure based on the pressure correction method: For the pressure sensor, a piezoresistive pressure sensor is used, and its output voltage is linearly related to the pressure, that is:

[0069] U=kP+b;

[0070] Where U is the output voltage, P is the pressure, k is the proportionality factor, and b is the intercept. The data processing center calculates the actual pressure based on the measured voltage value U using the formula P = (Ub) / k.

[0071] Calculate the actual flow rate based on the flow correction method: For the flow sensor, a turbine flow sensor is used, and its output frequency is linearly related to the flow rate, that is:

[0072] f = kQ;

[0073] Where f represents the output frequency, Q represents the flow rate, and k represents the proportionality factor. The data processing center calculates the actual flow rate based on the measured frequency value f using the formula Q = f / k.

[0074] Calculate the actual current and voltage based on the current and voltage correction method: For the current sensor and voltage sensor, a Hall effect sensor is used, whose output voltage is linearly related to the measured current or voltage, that is:

[0075] U=kI+b or U=kV+b;

[0076] Where U is the output voltage, I is the measured current, V is the measured voltage, k is the proportionality factor, and b is the intercept. The data processing center calculates the actual current or voltage based on the measured voltage value U using the formula I = (Ub) / k or V = (Ub) / k, respectively.

[0077] The data processing solution described above utilizes data processing technology. Specifically, effective filtering, calibration, and linearization methods are applied within the data processing center to improve data quality and thus ensure data accuracy. This facilitates data analysis and optimization. Specifically, real-time data recording and storage provides rich data support for equipment performance analysis, fault diagnosis, and operational optimization. Furthermore, through analysis of historical data, equipment operation strategies can be optimized, improving the energy efficiency of refrigeration units and reducing operating costs.

[0078] D. The display module is used to display the processed ring data on the terminal to realize the operation monitoring of the refrigeration unit.

[0079] The display terminal runs specially developed monitoring software. The software interface displays the operating data of each unit, auxiliary equipment parameters, pump parameters, and the start status of each evaporative cooling unit in real time in an intuitive graphical manner.

[0080] As an optional embodiment, the display terminal includes a computer monitor, an LCD screen, and a mobile terminal. The computer monitor and LCD screen are installed in the control room, and the mobile terminal can be a smartphone or tablet computer. The display terminal is installed with display software that receives data sent by the data processing center and displays the data in a graphical format.

[0081] The display software consists of a main interface and multiple sub-interfaces. The main interface displays the overall system operating status, including the on / off status of each unit, key operating parameters, and alarm information. The sub-interfaces include the unit details interface, auxiliary equipment interface, pump interface, and historical data interface. The unit details interface displays detailed operating parameters for each unit; the auxiliary equipment interface displays operating parameters for auxiliary equipment; the pump interface displays operating parameters for pumps; and the historical data interface displays historical operating data and trend charts.

[0082] The above-mentioned display terminal design scheme adopts a graphical monitoring interface design in the present invention, that is: by developing an intuitive and easy-to-use graphical monitoring software interface, complex operating data and equipment status are displayed in a clear and concise manner, making it convenient for operators to quickly obtain information and make decisions.

[0083] In the actual implementation process, the structural diagram of the refrigeration unit operation monitoring system based on characteristic curve analysis can be as follows: Figure 1 As shown, that is: Figure 1 It clearly shows an optional system structure connection relationship, the deployment method of multi-dimensional sensors, the physical quantities to be monitored and the corresponding standard range, as well as the functional objectives of the system. Specifically:

[0084] like Figure 1 As shown in FIG, the connection relationship between the components of the refrigeration unit operation monitoring system based on characteristic curve analysis can be:

[0085] ① Compressor unit: contains multiple compressors, the output ends of all compressors are connected in parallel to the inlet of the low-pressure tank and intercooler through pipes;

[0086] ② Low-pressure barrel and intercooler: The outlet of the low-pressure barrel is connected to the input of the intercooler through a pipe. After the intercooler cools the medium or adjusts the pressure, its outlet is connected to the input of the high-pressure barrel through a pipe.

[0087] like Figure 1 As shown in the figure, the distribution relationship of each data collection point in the refrigeration unit operation monitoring system based on characteristic curve analysis can be:

[0088] ① Each key position of the compressor, low-pressure tank, intercooler, and high-pressure tank is equipped with a liquid level sensor (marked in percentage), a pressure sensor (in MPa), and a temperature sensor (in °C);

[0089] ② Pump pressure sensors and pump current sensors are also installed on the pipelines of auxiliary equipment (such as evaporative cooling devices and pump groups) to monitor the operating pressure and current parameters of the pumps;

[0090] ③ Overall process: Compressor → low-pressure barrel → intercooler → high-pressure barrel constitutes the main process. Each sensor feeds back data in real time through the monitoring points next to the pipeline, forming a complete monitoring chain.

[0091] Through the above-mentioned systematic structural design, a variety of advantages can be achieved, such as:

[0092] ① Comprehensive real-time monitoring: The sensor network covering multiple links such as the compressor, low-pressure tank, intercooler, and high-pressure tank can collect key parameters such as liquid level, pressure, and temperature in real time, eliminating monitoring blind spots.

[0093] ② Fault warning and rapid response: Through dynamic data comparison (such as abnormal pressure fluctuations and excessive liquid levels), the system can identify potential faults in advance (such as pipeline blockage and equipment overload), shortening downtime for maintenance.

[0094] ③ Energy efficiency optimization capability: Adjust compressor operating parameters (such as pressure and temperature) based on real-time data to avoid energy waste and improve overall refrigeration efficiency.

[0095] ④ Reduced maintenance costs: Through long-term data accumulation and analysis, the decline trend of equipment life can be predicted, preventive maintenance can be achieved, and maintenance expenses caused by sudden failures can be reduced.

[0096] ⑤ Standardization and scalability: Modular sensor layout and clear flow chart design facilitate subsequent functional expansion (such as adding new sensors or devices) or integration with other systems.

[0097] Example 2

[0098] This embodiment discloses a method for monitoring the operation of a refrigeration unit based on characteristic curve analysis.

[0099] like Figure 2 As shown, a refrigeration unit operation monitoring method based on characteristic curve analysis includes:

[0100] Step S1, collecting annular data of the refrigeration unit; wherein the annular data includes unit operating parameters, auxiliary equipment parameters, pump parameters and status parameters;

[0101] Step S2: generating a refrigeration unit characteristic curve based on the obtained annular data, and performing data calibration and linearization processing on the refrigeration unit characteristic curve;

[0102] Step S3: Displaying the processed ring data on the terminal to realize operation monitoring of the refrigeration unit.

[0103] In step S2, after the industrial computer in the data processing center receives the ring data, it first converts the data into a standard format, then calibrates and linearizes the data according to the characteristic curve of the sensor, then stores the processed data in the database through the data storage module, and finally sends the processed data to the display terminal for display through the data storage module.

[0104] After receiving the ring data, the display terminal uses the display software to display the data in a graphical format, including the operating data of each unit, auxiliary equipment parameters, pump parameters, and the power-on status of each evaporative cooling unit. The user can view the operating status of the refrigeration unit in real time through the display terminal, and promptly identify and handle abnormal situations.

[0105] Furthermore, in step S2, data calibration and linearization processing includes: calculating the actual temperature based on the temperature correction method, calculating the actual pressure based on the pressure correction method, calculating the actual flow based on the flow correction method, and calculating the actual current and voltage based on the current and voltage correction method. Specifically:

[0106] Calculate the actual temperature based on the temperature correction method: For the temperature sensor, a PT100 platinum resistance temperature sensor is used, and its characteristic curve is:

[0107] R=R0(1+αt);

[0108] Where R represents the resistance value, R0 represents the resistance value (100Ω) at 0°C, α represents the temperature coefficient (0.00385Ω / °C), and t represents the temperature. The data processing center calculates the actual temperature based on the measured resistance value R using the formula t = (R / R0-1) / α.

[0109] Calculate the actual pressure based on the pressure correction method: For the pressure sensor, a piezoresistive pressure sensor is used, and its output voltage is linearly related to the pressure, that is:

[0110] U=kP+b;

[0111] Where U is the output voltage, P is the pressure, k is the proportionality factor, and b is the intercept. The data processing center calculates the actual pressure based on the measured voltage value U using the formula P = (Ub) / k.

[0112] Calculate the actual flow rate based on the flow correction method: For the flow sensor, a turbine flow sensor is used, and its output frequency is linearly related to the flow rate, that is:

[0113] f = kQ;

[0114] Where f represents the output frequency, Q represents the flow rate, and k represents the proportionality factor. The data processing center calculates the actual flow rate based on the measured frequency value f using the formula Q = f / k.

[0115] Calculate the actual current and voltage based on the current and voltage correction method: For the current sensor and voltage sensor, a Hall effect sensor is used, whose output voltage is linearly related to the measured current or voltage, that is:

[0116] U=kI+b or U=kV+b;

[0117] Where U is the output voltage, I is the measured current, V is the measured voltage, k is the proportionality factor, and b is the intercept. The data processing center calculates the actual current or voltage based on the measured voltage value U using the formula I = (Ub) / k or V = (Ub) / k, respectively.

[0118] Example 3

[0119] The purpose of this embodiment is to provide a computer-readable storage medium.

[0120] A computer-readable storage medium stores a computer program thereon, which, when executed by a processor, implements the steps of a method for monitoring the operation of a refrigeration unit based on characteristic curve analysis as described in the second embodiment of the present disclosure.

[0121] Example 4

[0122] The purpose of this embodiment is to provide an electronic device.

[0123] An electronic device includes a memory, a processor, and a program stored in the memory and executable on the processor. When the processor executes the program, the steps of a method for monitoring the operation of a refrigeration unit based on characteristic curve analysis as described in the second embodiment of the present disclosure are implemented.

[0124] The steps involved in the apparatuses of Examples 1, 3, and 4 above correspond to those of Method Example 2. For detailed implementation, please refer to the relevant description of Example 2. The term "computer-readable storage medium" should be understood to mean a single medium or multiple media containing one or more instruction sets; it should also be understood to include any medium capable of storing, encoding, or carrying an instruction set for execution by a processor and causing the processor to perform any method of the present invention.

[0125] Those skilled in the art will appreciate that the modules or steps of the present invention described above can be implemented using a general-purpose computer device. Alternatively, they can be implemented using program code executable by a computing device, which can then be stored in a storage device and executed by the computing device. Alternatively, they can be fabricated into separate integrated circuit modules, or multiple modules or steps can be fabricated into a single integrated circuit module for implementation. The present invention is not limited to any specific combination of hardware and software.

[0126] Although the above describes the specific embodiments of the present invention in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art on the basis of the technical solution of the present invention without any creative work are still within the scope of protection of the present invention.

Claims

1. A refrigeration unit operation monitoring system based on characteristic curve analysis, characterized in that: include: Data acquisition module, data transmission module, data processing center and display module; The data acquisition module is used to collect the annular data of the refrigeration unit; wherein the annular data includes the unit operation parameters, auxiliary equipment parameters, pump parameters and status parameters; The data transmission module is used to transmit the collected ring data to the data processing center; The data processing center is used to generate a refrigeration unit characteristic curve based on the obtained ring data, and perform data calibration and linearization processing on the refrigeration unit characteristic curve; The display module is used to display the processed ring data on the terminal to realize the operation monitoring of the refrigeration unit.

2. The refrigeration unit operation monitoring system based on characteristic curve analysis according to claim 1, characterized in that: Pressure sensors, temperature sensors and current sensors are installed on the intake pipe, exhaust pipe, oil nozzle and motor of the refrigeration unit to collect the unit operating parameters of the refrigeration unit; liquid level sensors, pressure sensors and temperature sensors are installed on the low-pressure circulation barrel, high-pressure circulation barrel and intercooler of the refrigeration unit to collect the auxiliary equipment parameters of the refrigeration unit.

3. The refrigeration unit operation monitoring system based on characteristic curve analysis according to claim 1, characterized in that: Pressure sensors and current sensors are installed on the inlet and outlet pipes of each pump in the refrigeration unit to collect the pump parameters of the refrigeration unit; a state detection circuit is set in the control circuit of the refrigeration unit to collect the state parameters of the refrigeration unit.

4. The refrigeration unit operation monitoring system based on characteristic curve analysis according to claim 1, characterized in that: The data transmission module transmits the collected ring data to the data processing center via Modbus RTU communication.

5. The refrigeration unit operation monitoring system based on characteristic curve analysis according to claim 1, characterized in that: The data processing center includes an industrial computer, a programmable logic controller and a database.

6. The refrigeration unit operation monitoring system based on characteristic curve analysis according to claim 5, characterized in that: The industrial computer is used to receive the circular data from the data transmission module, the programmable logic controller is used to generate a refrigeration unit characteristic curve based on the circular data, and perform data calibration and linearization processing on the refrigeration unit characteristic curve; the database is used to store the processed circular data.

7. The refrigeration unit operation monitoring system based on characteristic curve analysis according to claim 1, characterized in that: The data calibration and linearization processing includes: calculating the actual temperature based on a temperature correction method, calculating the actual pressure based on a pressure correction method, calculating the actual flow based on a flow correction method, and calculating the actual current and voltage based on a current and voltage correction method.

8. A method for monitoring the operation of a refrigeration unit based on characteristic curve analysis, characterized in that: include: Collecting annular data of the refrigeration unit; wherein the annular data includes unit operating parameters, auxiliary equipment parameters, pump parameters and status parameters; generating a refrigeration unit characteristic curve based on the obtained annular data, and performing data calibration and linearization processing on the refrigeration unit characteristic curve; The processed ring data is displayed on the terminal to realize the operation monitoring of the refrigeration unit.

9. A computer-readable storage medium having a program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method for monitoring the operation of a refrigeration unit based on characteristic curve analysis as claimed in claim 8 are implemented.

10. An electronic device comprising a memory, a processor, and a program stored in the memory and executable on the processor, wherein: When the processor executes the program, the steps of the method for monitoring the operation of a refrigeration unit based on characteristic curve analysis as claimed in claim 8 are implemented.

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