Method and device for quickly detecting running state of refrigeration plant room equipment and electronic equipment

Abstract

The application provides a refrigeration plant operation state rapid detection method and device and electronic equipment. The rated parameter data of equipment in a refrigeration plant is collected, temperature sensors are installed on pipelines and equipment in the refrigeration plant to collect operation temperature data, the temperature data is preprocessed, and then the operation state of each equipment in the refrigeration plant is identified and calculated by using the temperature data. The method can quickly establish a monitoring means for the refrigeration plant without a centralized monitoring system or the refrigeration plant with a neglected centralized monitoring system, can identify and calculate the operation state information of each equipment in the refrigeration plant by using the temperature data in real time, can evaluate the performance and operation condition of the equipment in the refrigeration plant, and can find operation problems in time, so that the energy-saving potential of the refrigeration plant can be effectively tapped.

Description

Technical Field

[0001] This invention belongs to the technical field of refrigeration room equipment, and specifically relates to a method, device, and electronic equipment for rapid detection of the operating status of refrigeration room equipment. Background Technology

[0002] In recent years, the proportion of energy consumption in buildings has been rising steadily, reaching nearly 40% of global energy consumption. To provide a comfortable indoor environment or a stable and clean production environment, a significant amount of energy is consumed by heating, cooling, and ventilation equipment, accounting for 25%-50% of building energy consumption. Therefore, an important task in reducing building energy consumption and improving the energy efficiency of refrigeration rooms is to monitor the operating data of various equipment within the refrigeration room and analyze this data to guide operational optimization.

[0003] Currently, most public buildings do not have centralized monitoring systems installed in their refrigeration rooms, or have neglected to use them due to poor management. The operating status of each piece of equipment can only be obtained through regular inspections by maintenance personnel. This makes it impossible to monitor the equipment's operation and potential malfunctions in real time, which poses a threat to the safe operation of the refrigeration room and creates obstacles to the comprehensive assessment and exploration of the energy-saving potential of the refrigeration room equipment. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to overcome the shortcomings of the prior art and provide a method, device and electronic equipment for monitoring, quickly detecting and evaluating the real-time operation of equipment and possible operational faults.

[0005] The technical solution of the present invention:

[0006] This invention discloses a method for rapid detection of the operating status of equipment in a refrigeration room, which includes collecting rated parameter information and operating temperature data of each piece of equipment in the refrigeration room, and using the operating temperature data to identify and calculate the operating status of each piece of equipment in the refrigeration room.

[0007] Further steps include the following:

[0008] S1. Collect rated parameter information of each piece of equipment in the refrigeration room;

[0009] S2. Install a temperature data acquisition system at specific locations in refrigeration rooms that are not equipped with a data acquisition system or whose data acquisition system is malfunctioning, to collect and store equipment operating temperature data;

[0010] S3. Preprocess the collected temperature data;

[0011] S4. Use temperature data to identify and calculate the operating status of each piece of equipment in the refrigeration room.

[0012] Furthermore, the rated parameter information of the equipment includes the rated cooling capacity, rated power, and rated flow rate of the chiller or heat pump; and the rated power and rated flow rate of the water pump;

[0013] The temperature data acquisition system includes a temperature sensor, a data gateway, and a physical server and / or cloud server for data storage and processing.

[0014] Furthermore, the specific locations include the inlet and outlet pipe walls of the chilled water and cooling water of the chiller unit and / or heat pump, the inlet and outlet pipe walls of the chilled water inlet and outlet main pipe and / or the chilled side manifold, the inlet and outlet pipe walls of the cooling water inlet and outlet main pipe and / or the cooling side manifold, and the pump casing.

[0015] The operating temperature data collected by the temperature data acquisition system includes the inlet and outlet temperatures of chilled water and cooling water of the chiller unit and / or heat pump, the inlet and outlet temperatures of the chilled water inlet and outlet main pipe and / or chilled side manifold, the inlet and outlet temperatures of the cooling water inlet and outlet main pipe and / or cooling side manifold, and the pump casing temperature.

[0016] Furthermore, the preprocessing includes the following steps:

[0017] S3-1, Time Label Standardization: The time labels of the data are standardized. The standardization time is determined by the following formula: t=[t0+(n-1)×δ], (n=1,2,3,...), where δ is the data step size and t0 is the time of the first data.

[0018] S3-2, Outlier Removal and Correction: Outliers are removed and corrected based on the actual possible range of operating parameters.

[0019] S3-3, Missing value filling: Missing signal parameters are filled with missing values ​​using interpolation or extrapolation.

[0020] Furthermore, the use of temperature data to identify the operating status of each piece of equipment in the refrigeration room includes the start / stop status of water pumps, the start / stop status of chiller units, the approximate energy consumption of chiller units, the theoretical energy efficiency of chiller units, the approximate delivery efficiency of cooling water pumps, the approximate delivery efficiency of chilled water pumps, water bypass of chiller units, and frequent start / stop of equipment.

[0021] Furthermore, the step for identifying the pump start / stop status is as follows: Take the pump casing temperature data sequence T from a period of time prior to the current point in time, and calculate the range X and average slope K of the temperature data, where X = MAX(T1, T2, ... T). n )-MIN(T1, T2, ...T n ),

[0022] In the formula, n is the number of data points contained in the temperature data sequence;

[0023] When the range X exceeds the start-up threshold and the average slope K is positive, the water pump is determined to be in the start-up state. Then, the water pumps in the subsequent time are determined to be in the start-up state until the range X exceeds the shutdown threshold and the average slope K is positive. Then, the water pumps in the subsequent time are determined to be in the shutdown state.

[0024] The steps for identifying the start / stop status of the chiller unit are as follows: Take the chilled water outlet temperature T of the chiller unit from a period of time prior to the current time point. e，out Cooling water outlet temperature T c，out Calculate the range X, variance V, and minimum temperature T of the temperature data. min X = MAX(T1, T2, ..., T) n )-MIN(T1, T2, ...T n ), T min =MIN(T1,T2,...T) n ),

[0025] In the formula, n is the number of data points contained in the temperature sequence;

[0026] When both the range X and variance V exceed the threshold and the lowest temperature T min When the temperature is below the threshold, the chiller unit is considered to be in the start-up state. This continues for subsequent times until both the range X and variance V exceed the threshold again and the lowest temperature T is reached. min When the value exceeds the threshold, the chiller unit is determined to be in a shutdown state, and the chiller unit will be determined to be in a shutdown state for the subsequent time period.

[0027] The approximate energy consumption calculation formula for the chiller unit is as follows:

[0028] Among them W ch Let G be the approximate energy consumption of the chiller, c be the specific heat capacity of water, ρ be the density of water, and G be the density of water. ep，R W is the rated flow rate of the refrigeration pump. ch，R Q is the rated power of the chiller unit. ch，R This refers to the rated cooling capacity of the chiller unit.

[0029] The theoretical energy efficiency calculation formula for the chiller unit is as follows: Where COP is the theoretical energy efficiency of the chiller unit, T e，in T represents the chilled water inlet temperature of the chiller unit. c，in This refers to the inlet temperature of the cooling water for the chiller unit.

[0030] The formula for calculating the approximate delivery efficiency of the cooling water pump is as follows: Among them WTF c For the approximate delivery efficiency of the cooling water pump, G cp，R W is the rated flow rate of the cooling pump. cp，R This refers to the rated power of the cooling pump;

[0031] The formula for calculating the approximate delivery efficiency of the chilled water pump is as follows: Among them WTF e For the approximate delivery efficiency of the chilled water pump, G ep，R W is the rated flow rate of the refrigeration pump. ep，R This refers to the rated power of the refrigeration pump;

[0032] The identification steps for water bypass in the chiller unit are as follows: Take the chilled water inlet and outlet temperatures of the identified chiller unit and the chilled water inlet temperatures of the other chiller units a period of time prior to the current time point, and plot them as temperature change curves. Calculate the similarity distance D1 between the chilled water inlet temperature curve and the outlet temperature curve of the identified chiller unit using a curve similarity algorithm. Calculate the similarity distances D2, D3, ..., Di between the chilled water outlet temperature curve of the identified chiller unit and the chilled water inlet temperature curves of the other chiller units, where i is the number of chiller units. When the similarity distance D1 meets the bypass threshold condition and any one of the similarity distances D2, D3, ..., Di meets the bypass threshold condition, it is determined that the identified chiller unit has a water bypass.

[0033] The steps for identifying frequent start-stop of the equipment are as follows: Based on the start-stop identification of the chiller unit and the start-stop identification of the water pump, record the time from the moment the equipment stops to the moment it starts. When the time interval between two starts is lower than the threshold, it is determined that the equipment is frequently starting and stopping.

[0034] The present invention also discloses a rapid detection device for the operating status of refrigeration room equipment, including a rated data input module for inputting rated data into a physical server or cloud server for storage;

[0035] Temperature data acquisition system is used to acquire and store the operating temperature data of various equipment in the refrigeration room;

[0036] The data processing module is used to preprocess the raw temperature data within the physical server or cloud server;

[0037] The operation status calculation and identification module is used to calculate and identify the operation status data of each device in the refrigeration room.

[0038] Furthermore, the temperature data acquisition system includes several temperature sensors, a data gateway, and a physical server and / or a cloud server; the temperature sensors are used to measure temperature data and send the temperature data to the data gateway, the data gateway is used to collect and summarize the data uploaded by all temperature sensors in the refrigeration room and package the summarized data to upload to the physical server or cloud server, and the physical server or cloud server is used to store and subsequently analyze the temperature data uploaded by the data gateway.

[0039] The present invention also discloses an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the rapid detection method for the operating status of refrigeration room equipment as described in any one of claims 1 to 7.

[0040] The beneficial effects of this invention compared to the prior art are as follows:

[0041] 1. The present invention discloses a rapid detection method for the operating status of equipment in a refrigeration room. Compared with the prior art, it can accurately calculate and identify the operating status information of each piece of equipment in the refrigeration room using only the rated parameters of the equipment and the collected temperature data. This helps refrigeration rooms that lack a centralized monitoring system or whose centralized monitoring system has been abandoned to quickly establish an equipment operation detection system, promptly grasp the equipment operation status, and promptly detect potential operating faults, thereby improving the overall operating efficiency and stability of each piece of equipment in the refrigeration room and greatly reducing the cost of building a centralized monitoring system for the refrigeration room.

[0042] 2. This invention, by collecting temperature data and rated parameters of equipment in the refrigeration room and processing the data, can identify the operating status information of the chiller unit, water pump, approximate energy consumption and theoretical energy efficiency of the chiller unit, approximate delivery efficiency of cooling water pump, approximate delivery efficiency of chilled water pump, water bypass of chiller unit, frequent start-up and shutdown of equipment, etc. Attached Figure Description

[0043] Figure 1 A flowchart of a method for rapid detection of the operating status of refrigeration room equipment provided in an embodiment of the present invention;

[0044] Figure 2 This is a schematic diagram of the installation position of the temperature sensor in a rapid detection method for the operating status of refrigeration room equipment provided in an embodiment of the present invention;

[0045] Figure 3 This is a schematic diagram of the data preprocessing process in a rapid detection method for the operating status of refrigeration room equipment provided in an embodiment of the present invention;

[0046] Figure 4This is a schematic diagram of a module for a rapid detection device for the operating status of refrigeration room equipment provided in an embodiment of the present invention;

[0047] Figure 5 This is an example diagram of a temperature data acquisition system in a rapid detection device for the operating status of refrigeration room equipment provided in an embodiment of the present invention;

[0048] In the diagram, T1-T26 are all temperature sensors. Detailed Implementation

[0049] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions 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, 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.

[0050] This invention discloses a method for rapid detection of the operating status of refrigeration room equipment, such as... Figure 1 As shown, it includes the following steps:

[0051] S1: Collect rated parameter information of each piece of equipment in the refrigeration room;

[0052] S2: Install a temperature data acquisition system at a specific location in a refrigeration room that is not equipped with a data acquisition system or whose data acquisition system is malfunctioning to collect and store operating temperature data;

[0053] S3: Preprocess the collected temperature data;

[0054] S4: Use temperature data to identify and calculate the operating status of each piece of equipment in the refrigeration room.

[0055] The rated parameter information collected in step S1 includes, but is not limited to: the rated cooling capacity, rated power, and rated flow rate of each chiller and / or heat pump; and the rated power and rated flow rate of each water pump.

[0056] The temperature data acquisition system in step S2 includes a temperature sensor, a data gateway, and a physical server and / or cloud server for data storage and processing.

[0057] like Figure 2 As shown, the specific locations where temperature sensors need to be installed in step S2 include, but are not limited to: the inlet and outlet pipe walls of chilled water and cooling water of the chiller unit and / or heat pump, the inlet and outlet pipe walls of the chilled water inlet and outlet main pipe and / or the chilled water manifold, the inlet and outlet pipe walls of the cooling water inlet and outlet main pipe and / or the cooling water manifold, and the water pump casing.

[0058] The data collected by the temperature data acquisition system in step S2 includes, but is not limited to: the inlet and outlet temperatures of chilled water and cooling water of the chiller unit and / or heat pump, the inlet and outlet temperatures of the chilled water inlet and outlet main pipe and / or chilled side manifold, the inlet and outlet temperatures of the cooling water inlet and outlet main pipe and / or cooling side manifold, and the water pump casing temperature.

[0059] like Figure 3 As shown, the preprocessing of temperature data in step S3 includes the following steps:

[0060] S3-1, Time Label Standardization: The time labels of the data are standardized. The standardization time is determined by the following formula: t=[t0+(n-1)×δ], (n=1,2,3,...), where δ is the data step size and t0 is the time of the first data.

[0061] S3-2, Outlier Removal and Correction: Outliers are removed and corrected based on the actual possible range of operating parameters.

[0062] S3-3, Missing value filling: Missing signal parameters are filled with missing values ​​using interpolation or extrapolation.

[0063] In step S4, temperature data is used to identify and calculate the operating status of each piece of equipment in the refrigeration room, including but not limited to: chiller start-up and shutdown status, water pump start-up and shutdown status, approximate energy consumption and theoretical energy efficiency of chiller, approximate delivery efficiency of cooling water pump, approximate delivery efficiency of chilled water pump, water bypass of chiller, and frequent start-up and shutdown of equipment.

[0064] For a water pump that is not turned on, its casing temperature is usually lower than or near room temperature. When it is turned on, the casing temperature will rise more significantly and remain at a stable temperature.

[0065] When the water pump is turned off, the motor stops, preventing the internal heat from being forcibly exchanged through the airflow generated during rotation. This causes the pump casing temperature to rise significantly, and then gradually decrease after reaching its peak.

[0066] Therefore, based on this theory, the steps for identifying the pump start-up and shutdown status are as follows: Take the pump casing temperature data sequence T from a period of time prior to the current point in time, calculate the range X and average slope K of the temperature data, X = MAX(T1, T2, ... T n )-MIN(T1, T2, ...T n ),

[0067] In the formula, n is the number of data points contained in the temperature data sequence.

[0068] When the range X exceeds the start-up threshold and the average slope K is positive, the water pump is determined to be in the start-up state. Then, the water pumps in the subsequent time are all determined to be in the start-up state until the range X exceeds the shutdown threshold and the average slope K is positive. Then, the water pumps are determined to be in the shutdown state. Then, the water pumps in the subsequent time are all determined to be in the shutdown state.

[0069] When a chiller unit is turned on, its chilled water outlet temperature drops significantly, while its cooling water outlet temperature rises significantly. When it is turned off, because the water pump is still running, the chilled water outlet temperature rises rapidly to near the chilled water inlet temperature, while the cooling water outlet temperature drops rapidly to near the cooling water return temperature.

[0070] Based on this theory, the steps for identifying the start-up and shutdown status of a chiller unit are as follows: Take the chilled water outlet temperature T of the chiller unit from a period of time prior to the current point in time. e，out Cooling water outlet temperature T c，out Calculate the range X, variance V, and minimum temperature T of the temperature data. min X = MAX(T1, T2, ..., T) n )-MIN(T1, T2, ...T n ), T min =MIN(T1, T2, ..., T) n ), where n is the number of data points contained in the temperature series. When both the range X and variance V exceed the threshold and the lowest temperature T... min When the temperature is below the threshold, the chiller unit is considered to be in the start-up state. This continues for subsequent times until both the range X and variance V exceed the threshold again and the lowest temperature T is reached. min When the threshold is exceeded, the chiller unit is determined to be in a shutdown state, and the chiller unit will be determined to be in a shutdown state for the subsequent time period.

[0071] The approximate energy consumption calculation formula for a chiller unit is as follows: Among them W ch Let G be the approximate energy consumption of the chiller, c be the specific heat capacity of water, ρ be the density of water, and G be the density of water. ep，R W is the rated flow rate of the refrigeration pump. ch，R G is the rated power of the chiller unit. ch，R This refers to the rated cooling capacity of the chiller unit.

[0072] The formula for calculating the energy efficiency of a chiller unit is:

[0073] Where COP is the theoretical energy efficiency of the chiller unit, T e，in T represents the chilled water inlet temperature of the chiller unit. c，in This refers to the inlet temperature of the cooling water for the chiller unit.

[0074] The formula for calculating the delivery efficiency of a cooling water pump is: Among them WTF c For the approximate delivery efficiency of the cooling water pump, G cp，R W is the rated flow rate of the cooling pump. cp，R This is the rated power of the cooling pump.

[0075] The formula for calculating the delivery efficiency of a chilled water pump is: Among them WTF e For the approximate delivery efficiency of the chilled water pump, G ep，R W is the rated flow rate of the refrigeration pump. ep，R This refers to the rated power of the refrigeration pump.

[0076] The steps for identifying water bypass in chiller units are as follows: Take the chilled water inlet and outlet temperatures of the identified chiller unit and the chilled water inlet temperatures of the other chiller units a period of time prior to the current time point, and plot them as temperature change curves. Calculate the similarity distance D1 between the chilled water inlet temperature curve of the identified chiller unit and its outlet temperature curve using a curve similarity algorithm. Calculate the similarity distances D2, D3, ..., Di between the chilled water outlet temperature curve of the identified chiller unit and the chilled water inlet temperature curves of the other chiller units, where i is the number of chiller units. If the similarity distance D1 satisfies the bypass threshold condition and any one of the similarity distances D2, D3, ..., Di satisfies the bypass threshold condition, it is determined that the identified chiller unit has a water bypass.

[0077] The steps for identifying frequent equipment start-stop are as follows: Based on the start-stop identification of chiller units and water pumps, record the time from when the equipment stops to when it starts. When the time interval between two starts is lower than the threshold, it is determined that the equipment is frequently starting and stopping.

[0078] The curve similarity algorithm uses the Dynamic Time Warping (DTW) algorithm. The closer the calculated similarity distance is to 0, the higher the similarity between the curves.

[0079] This invention also discloses a rapid detection device for the operating status of refrigeration room equipment, such as... Figure 4 As shown, the device includes:

[0080] The rated data input module 100 is used to input rated data into a physical server or cloud server for storage.

[0081] The temperature data acquisition system 200 is used to acquire and store the operating temperature data of various equipment in the refrigeration room.

[0082] The data processing module 300 is used to preprocess the raw temperature data in the physical server or cloud server;

[0083] The operating status calculation and identification module 400 is used to calculate and identify the operating status data of each device in the refrigeration room.

[0084] like Figure 5 As shown, the temperature data acquisition system 200 includes several temperature sensors 201, a data gateway 202, a physical server 203, and / or a cloud server 204. The temperature sensors are used to measure temperature data and send the temperature data to the data gateway. The data gateway is used to collect and summarize the data uploaded by all temperature sensors in the refrigeration room and package the summarized data to upload to the physical server or cloud server. The physical server or cloud server is used to store and subsequently analyze the temperature data uploaded by the data gateway.

[0085] The temperature sensor is a surface-mount wireless temperature sensor. Its installation steps include: For pipes or equipment with insulation, use tools to create a round hole in the insulation to expose the pipe; use tools to sand off the paint on the pipe surface; and use silicone grease to fix the probe of the surface-mount wireless temperature sensor to the pipe wall, then restore the insulation layer. For pipes or equipment without insulation, use tools to sand off the paint on the pipe surface; use silicone grease to fix the probe of the surface-mount wireless temperature sensor to the pipe wall, then cover it with the insulation layer.

[0086] The data processing module preprocesses the raw temperature data from physical servers or cloud servers, including: standardizing the time stamps of the data, with the standardization time determined by the following formula: t=[t0+(n-1)×δ], (n=1, 2, 3, ...), where δ is the data step size and t0 is the time of the first data; removing and correcting outliers based on the actual possible range of the operating parameters; and filling missing values ​​for missing signal parameters using interpolation or extrapolation.

[0087] The operation status calculation and identification module can calculate and identify the start-up and shutdown status of the chiller unit, the start-up and shutdown status of the water pump, the approximate energy consumption and theoretical energy efficiency of the chiller unit, the approximate delivery efficiency of the cooling water pump, the approximate delivery efficiency of the chilled water pump, the water bypass of the chiller unit, and the frequent start-up and shutdown of the equipment. For specific implementation details, please refer to the method embodiment, which will not be elaborated here.

[0088] This application also discloses an electronic device, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor. The processor can execute the computer program to implement the rapid detection method for the operating status of refrigeration room equipment described in the above embodiments.

[0089] The processor and memory can be connected via a bus or other means.

[0090] The memory may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created by the processor. Furthermore, the memory may include high-speed random access memory and non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory may optionally include memory remotely located relative to the processor, which can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0091] The processor can be a central processing unit, or it can be other general-purpose processors, digital signal processors, application-specific integrated circuits, field-programmable gate arrays or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or combinations of the above types of chips.

[0092] The above are merely preferred embodiments of this application and are not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method for rapid detection of the operating status of refrigeration room equipment, characterized in that, Collect rated parameter information and operating temperature data of each piece of equipment in the refrigeration room, and use the operating temperature data to identify and calculate the operating status of each piece of equipment in the refrigeration room, including the following steps: S1. Collect rated parameter information of each piece of equipment in the refrigeration room; S2. Install a temperature data acquisition system at specific locations in refrigeration rooms that are not equipped with a data acquisition system or whose data acquisition system is malfunctioning, to collect and store equipment operating temperature data; S3. Preprocess the collected temperature data; S4. Use temperature data to identify and calculate the operating status of each piece of equipment in the refrigeration room; The method of using temperature data to identify and calculate the operating status of each piece of equipment in the refrigeration room includes the start-stop status of water pumps, the start-stop status of chiller units, the approximate energy consumption of chiller units, the theoretical energy efficiency of chiller units, the approximate delivery efficiency of cooling water pumps, the approximate delivery efficiency of chilled water pumps, water bypass of chiller units, and frequent start-stop of equipment. The steps for identifying the pump start / stop status are as follows: Take the pump casing temperature data sequence T from a period of time prior to the current point in time, calculate the range X and average slope K of the temperature data, X = MAX( )-MIN( ), , In the formula, n is the number of data points contained in the temperature data sequence; When the range X exceeds the start-up threshold and the average slope K is positive, the water pump is determined to be in the start-up state. Then, the water pumps in the subsequent time are determined to be in the start-up state until the range X exceeds the shutdown threshold and the average slope K is positive. Then, the water pumps in the subsequent time are determined to be in the shutdown state. The steps for identifying the start / stop status of the chiller unit are as follows: Take the chilled water outlet temperature of the chiller unit from a period of time prior to the current point in time. Cooling water outlet temperature Calculate the range X, variance V, and minimum temperature of the temperature data. X=MAX( )-MIN( ), , , In the formula, n is the number of data points contained in the temperature sequence; When both the range X and variance V exceed the threshold and the lowest temperature When the temperature is below the threshold, the chiller unit is considered to be in the start-up state. This continues for subsequent periods until both the range X and variance V exceed the threshold again and the lowest temperature... When the value exceeds the threshold, the chiller unit is determined to be in a shutdown state, and the chiller unit will be determined to be in a shutdown state for the subsequent time period. The approximate energy consumption calculation formula for the chiller unit is as follows: , in Let c be the approximate energy consumption of the chiller, and c be the specific heat capacity of water. The density of water, This refers to the rated flow rate of the refrigeration pump. This refers to the rated power of the chiller unit. This refers to the rated cooling capacity of the chiller unit. The theoretical energy efficiency calculation formula for the chiller unit is as follows: Where COP is the theoretical energy efficiency of the chiller unit. This refers to the chilled water inlet temperature of the chiller unit. This refers to the inlet temperature of the cooling water for the chiller unit. The formula for calculating the approximate delivery efficiency of the cooling water pump is as follows: ,in To approximate the delivery efficiency of the cooling water pump, This is the rated flow rate of the cooling pump. This refers to the rated power of the cooling pump; The formula for calculating the approximate delivery efficiency of the chilled water pump is as follows: ,in For approximate delivery efficiency of chilled water pumps, This refers to the rated flow rate of the refrigeration pump. This refers to the rated power of the refrigeration pump; The identification steps for water bypass of the chiller unit are as follows: Take the chilled water inlet temperature and outlet temperature of the identified chiller unit and the chilled water inlet temperature of the other chiller units a period of time before the current time point and plot them as temperature change curves. Use the curve similarity algorithm to calculate the similarity distance D1 between the chilled water inlet temperature curve and the outlet temperature curve of the identified chiller unit. Calculate the similarity distances D2, D3...Di between the chilled water outlet temperature curve of the identified chiller unit and the chilled water inlet temperature curves of the other chiller units, where i is the number of chiller units. When the similarity distance D1 satisfies the bypass threshold condition and any one of the similarity distances D2, D3, ... Di satisfies the bypass threshold condition, it is determined that the identified chiller unit has a water bypass. The identification steps for frequent equipment start-stop are as follows: Based on the chiller start-stop identification and water pump start-stop identification, record the time from equipment shutdown to startup. When the time interval between two startups is lower than the threshold, it is determined that the equipment is frequently starting and stopping. The specific locations include the inlet and outlet pipe walls of chilled water and cooling water of the chiller unit and / or heat pump, the inlet and outlet pipe walls of the chilled water inlet and outlet main pipe and / or chilled side manifold, the inlet and outlet pipe walls of the cooling water inlet and outlet main pipe and / or cooling side manifold, and the water pump casing. The operating temperature data collected by the temperature data acquisition system includes the inlet and outlet temperatures of chilled water and cooling water of the chiller unit and / or heat pump, the inlet and outlet temperatures of the chilled water inlet and outlet main pipe and / or chilled side manifold, the inlet and outlet temperatures of the cooling water inlet and outlet main pipe and / or cooling side manifold, and the pump casing temperature.

2. The method for rapid detection of the operating status of refrigeration room equipment according to claim 1, characterized in that: The rated parameter information of the equipment includes the rated cooling capacity, rated power and rated flow rate of the chiller or heat pump; and the rated power and rated flow rate of the water pump; The temperature data acquisition system includes a temperature sensor, a data gateway, and a physical server and / or cloud server for data storage and processing.

3. The rapid detection method for the operating status of refrigeration room equipment according to claim 1, characterized in that: The preprocessing includes the following steps: S3-1. Time Label Standardization: The time labels of the data are standardized. The standardized time is determined by the following formula: In the formula, δ is the data step size and t0 is the time of the first data. S3-2, Outlier Removal and Correction: Outliers are removed and corrected based on the actual possible range of operating parameters. S3-3, Missing value filling: Missing signal parameters are filled with missing values ​​using interpolation or extrapolation.

4. A rapid detection device for the operating status of refrigeration room equipment, characterized in that, The method for rapid detection of the operating status of refrigeration room equipment as described in any one of claims 1 to 3 includes a rated data input module for inputting rated data into a physical server or cloud server for storage. Temperature data acquisition system is used to acquire and store the operating temperature data of various equipment in the refrigeration room; The data processing module is used to preprocess the raw temperature data within the physical server or cloud server; The operation status calculation and identification module is used to calculate and identify the operation status data of each device in the refrigeration room.

5. The rapid detection device for the operating status of refrigeration room equipment according to claim 4, characterized in that, The temperature data acquisition system includes several temperature sensors, a data gateway, and a physical server and / or a cloud server. The temperature sensors are used to measure temperature data and send the temperature data to the data gateway. The data gateway is used to collect and summarize the data uploaded by all temperature sensors in the refrigeration room and package the summarized data to upload to the physical server or cloud server. The physical server or cloud server is used to store and subsequently analyze the temperature data uploaded by the data gateway.

6. An electronic device, characterized in that, include: The device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the rapid detection method for the operating status of refrigeration room equipment as described in any one of claims 1 to 3.

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