A method and system for intelligent monitoring of fluorine pump air conditioner in computer room

Abstract

The present invention relates to the technical field of HVAC, and specifically discloses a method and system for intelligent monitoring of a fluorine pump air conditioner in a computer room, the method comprising: analyzing the degree of association between data attributes in fluorine pump data, and analyzing the refrigeration mode of the fluorine pump air conditioner in the computer room based on the degree of association; extracting environmental influencing factors of component operation parameters, identifying the refrigeration mode type of the fluorine pump air conditioner in the computer room, so as to analyze the multi-source parameter characteristics of the fluorine pump air conditioner in the computer room; extracting historical parameter characteristics corresponding to the multi-source parameter characteristics, cross-merging with the multi-source parameter characteristics, forming a parameter feature set, and identifying the mode switching path of the fluorine pump air conditioner in the computer room; setting an abnormal sensing node and an abnormal feedback interface of the fluorine pump air conditioner in the computer room according to the mode switching path; combining the mode switching path, the abnormal sensing node and the abnormal feedback interface, and performing intelligent monitoring on the fluorine pump air conditioner in the computer room to obtain an intelligent monitoring result. The present invention can improve the monitoring efficiency of the fluorine pump air conditioner system in the computer room.

Description

Technical Field

[0001] The present invention relates to the technical field of heating, ventilation and air conditioning, and in particular to an intelligent monitoring method and system for a fluorine pump air conditioner in a computer room. Background Art

[0002] The computer room fluorine pump air conditioner refers to an air conditioning system that uses refrigerants and combines pumping technology to achieve efficient cooling in the computer room environment. It directly uses Freon or other refrigerants for heat exchange to achieve precise control of the computer room ambient temperature, significantly reduce energy consumption, and improve the energy efficiency of the overall system. With the rapid development of information technology, data centers, as the core of information processing and storage, are playing an increasingly important role. In order to ensure the stable operation of the data center, real-time monitoring of the computer room air conditioning system is required.

[0003] In the prior art, the monitoring method of the fluorine pump air conditioner in the computer room usually relies on fixed sensors and monitoring systems. These systems monitor the operating status of the fluorine pump air conditioner in the computer room by analyzing the environmental data in the computer room and the operating data of the equipment, such as the temperature of the fluorine pump. However, this method usually relies on timed data collection and manual inspection, which may result in a long response time to abnormal situations and cannot achieve real-time monitoring, resulting in low monitoring efficiency of the fluorine pump air conditioning system in the computer room. Summary of the invention

[0004] In order to solve the above problems, the present invention provides a method and system for intelligent monitoring of a fluorine pump air conditioner in a computer room, which can improve the monitoring efficiency of the fluorine pump air conditioner system in the computer room.

[0005] In a first aspect, the present invention provides a method for intelligently monitoring a fluorine pump air conditioner in a computer room, comprising:

[0006] Acquire the fluorine pump air conditioner in the computer room to be monitored and its corresponding computer room environment, collect fluorine pump data of the fluorine pump air conditioner in the computer room, wherein the fluorine pump data includes computer room environment parameters, component operation parameters and equipment maintenance data, analyze the correlation between data attributes in the fluorine pump data, and identify the cooling mode of the fluorine pump air conditioner in the computer room based on the correlation;

[0007] Extracting component operating parameters of the computer room fluorine pump air conditioner, and determining environmental impact factors of the component operating parameters, calculating the indoor and outdoor temperature difference of the computer room fluorine pump air conditioner during operation according to the environmental impact factors, identifying the cooling mode type of the computer room fluorine pump air conditioner based on the indoor and outdoor temperature difference and the component operating parameters, and extracting multi-source parameter features of the computer room fluorine pump air conditioner according to the cooling mode type;

[0008] Query the historical multi-source data of the computer room fluorine pump air conditioner, identify the time series data of the historical multi-source data, extract the historical parameter features corresponding to the historical multi-source data based on the multi-source parameter features, cross-fuse the multi-source parameter features with the historical parameter features to form a parameter feature set, and identify the mode switching path of the computer room fluorine pump air conditioner based on the time series data and the parameter feature set;

[0009] Based on the mode switching path, identifying the associated elements of the computer room fluorine pump air conditioner, calculating the index weight of the associated elements in the computer room fluorine pump air conditioner, setting the abnormal sensing node of the computer room fluorine pump air conditioner according to the index weight, setting the judgment baseline of the abnormal sensing node based on the cooling mode type, and setting the abnormal feedback interface of the computer room fluorine pump air conditioner according to the judgment baseline;

[0010] In combination with the mode switching path, the abnormal sensing node and the abnormal feedback interface, the fluorine pump air conditioner in the computer room is intelligently monitored to obtain an intelligent monitoring result.

[0011] In a possible implementation of the first aspect, the collecting of fluorine pump data of the computer room fluorine pump air conditioner includes:

[0012] Analyze the types of parameters to be monitored for the fluorine pump air conditioner in the computer room;

[0013] Extracting component equipment corresponding to the parameter type;

[0014] Identify the computer room environment parameters associated with the component equipment, and query the equipment maintenance parameters corresponding to the component equipment;

[0015] Based on the parameter type, setting the sensor node of the component device;

[0016] According to the sensor node, obtaining the component operation parameters of the component equipment;

[0017] In combination with the component operation parameters, the computer room environment parameters and the equipment maintenance parameters, the fluorine pump data of the computer room fluorine pump air conditioner is collected.

[0018] In a possible implementation of the first aspect, identifying the cooling mode of the computer room fluorine pump air conditioner based on the correlation degree includes:

[0019] Based on the correlation degree, extract the output device of the fluorine pump air conditioner in the computer room during operation;

[0020] Identifying parameter variables of the output device, and performing correlation analysis on the parameter variables to obtain target correlation results;

[0021] Based on the target correlation result, setting the refrigeration feature combination of the fluorine pump air conditioner in the computer room;

[0022] Based on the refrigeration feature combination, the refrigeration mode of the computer room fluorine pump air conditioner is identified.

[0023] In a possible implementation manner of the first aspect, determining the environmental impact factor of the component operating parameter includes:

[0024] Analyzing the parameter variation rules of the operating parameters of the components;

[0025] Based on the parameter variation pattern, identifying the equipment room conditions corresponding to the component operating parameters;

[0026] Extracting indoor climate data from the computer room conditions;

[0027] Identifying outdoor temperature data corresponding to the indoor climate data;

[0028] Analyzing the load characteristics of the computer room under the computer room conditions;

[0029] The environmental impact factors of the component operating parameters are determined by combining the indoor climate data, the outdoor temperature data and the equipment room load characteristics.

[0030] In a possible implementation of the first aspect, the identifying the cooling mode type of the computer room fluorine pump air conditioner based on the indoor and outdoor temperature difference and the component operating parameter includes:

[0031] Query the mode switching standard of the fluorine pump air conditioner in the computer room;

[0032] Based on the mode switching standard, setting a temperature switching threshold of the indoor and outdoor temperature difference;

[0033] Analyze the parameter variation range of the component operating parameters under the temperature switching threshold;

[0034] Based on the mode switching standard and the parameter variation range, setting the classification variation interval of the component operation parameter;

[0035] The cooling mode type of the computer room fluorine pump air conditioner is identified according to the temperature switching threshold and the classification change interval.

[0036] In a possible implementation of the first aspect, extracting multi-source parameter features of the computer room fluorine pump air conditioner according to the refrigeration mode type includes:

[0037] Collecting real-time fluorine pump data of the fluorine pump air conditioner in the computer room;

[0038] Extracting real-time parameter features of the real-time fluorine pump data;

[0039] According to the refrigeration mode type, the real-time fluorine pump data is classified and processed to obtain classification mode data;

[0040] Extracting classification pattern parameter features of the classification pattern data;

[0041] The similarity between the real-time parameter feature and the classification mode parameter feature is calculated using the following formula:

[0042] ;

[0043] Among them, k represents the similarity between the real-time parameter features and the classification mode parameter features, represents the observed value of the real-time parameter feature at point m, represents the observed value of the classification mode parameter feature at point m, m represents the observed value index of the paired real-time parameter feature and the classification mode parameter feature, N represents the total number of observed values ​​of the paired real-time parameter feature and the classification mode parameter feature, represents the average value of the real-time parameter characteristics, represents the average value of the parameter characteristics of the classification mode;

[0044] According to the similarity level, the multi-source parameter characteristics of the computer room fluorine pump air conditioner are determined.

[0045] In a possible implementation of the first aspect, identifying the mode switching path of the computer room fluorine pump air conditioner based on the time series data and the parameter feature set includes:

[0046] Based on the time series data and the parameter feature set, identifying the current working mode of the computer room fluorine pump air conditioner;

[0047] Based on the parameter feature set, extracting parameter features of the current working mode;

[0048] Analyzing characteristic change trends of the parameter characteristics;

[0049] Setting a mode switching condition of the fluorine pump air conditioner in the computer room, and setting a mode stratification interval of the characteristic change trend according to the mode switching condition;

[0050] In combination with the mode switching condition and the mode stratification interval, a mode switching path of the computer room fluorine pump air conditioner is identified.

[0051] In a possible implementation of the first aspect, setting the abnormality sensing node of the computer room fluorine pump air conditioner according to the indicator weight includes:

[0052] According to the indicator weights, key components of the fluorine pump air conditioner in the computer room are extracted;

[0053] Analyzing parameter output properties of the key components;

[0054] Locate the output position corresponding to the parameter output attribute in the computer room fluorine pump air conditioner;

[0055] Setting a normal parameter threshold corresponding to the parameter output attribute;

[0056] Based on the normal parameter threshold and the output position, an abnormality sensing node of the computer room fluorine pump air conditioner is set.

[0057] In a possible implementation of the first aspect, setting the abnormal feedback interface of the computer room fluorine pump air conditioner according to the judgment baseline includes:

[0058] According to the judgment baseline, setting the warning threshold of the fluorine pump air conditioner in the computer room;

[0059] Identify the current working mode of the fluorine pump air conditioner in the computer room;

[0060] Based on the warning threshold and the current working mode, identifying abnormal factors of the fluorine pump air conditioner in the computer room;

[0061] Analyze the risk level of the abnormal factor, and set the alarm level of the fluorine pump air conditioner in the computer room according to the risk level;

[0062] Based on the risk level and the alarm level, an abnormal feedback interface of the computer room fluorine pump air conditioner is set.

[0063] In a second aspect, the present invention provides an intelligent monitoring system for a fluorine pump air conditioner in a computer room, the system comprising:

[0064] A data acquisition module, used to obtain the fluorine pump air conditioner in the computer room to be monitored and its corresponding computer room environment, collect the fluorine pump data of the fluorine pump air conditioner in the computer room, wherein the fluorine pump data includes computer room environment parameters, component operation parameters and equipment maintenance data, analyze the correlation between data attributes in the fluorine pump data, and identify the cooling mode of the fluorine pump air conditioner in the computer room based on the correlation degree;

[0065] A feature extraction module, used to extract the component operating parameters of the computer room fluorine pump air conditioner, and determine the environmental impact factors of the component operating parameters, calculate the indoor and outdoor temperature difference of the computer room fluorine pump air conditioner during operation according to the environmental impact factors, identify the cooling mode type of the computer room fluorine pump air conditioner based on the indoor and outdoor temperature difference and the component operating parameters, and extract the multi-source parameter features of the computer room fluorine pump air conditioner according to the cooling mode type;

[0066] A working mode analysis module, used for querying the historical multi-source data of the computer room fluorine pump air conditioner, identifying the time series data of the historical multi-source data, extracting the historical parameter features corresponding to the historical multi-source data based on the multi-source parameter features, cross-merging the multi-source parameter features with the historical parameter features to form a parameter feature set, and identifying the mode switching path of the computer room fluorine pump air conditioner based on the time series data and the parameter feature set;

[0067] An abnormality identification module, used for identifying the associated elements of the computer room fluorine pump air conditioner based on the mode switching path, calculating the index weight of the associated elements in the computer room fluorine pump air conditioner, setting the abnormality sensing node of the computer room fluorine pump air conditioner according to the index weight, setting the judgment baseline of the abnormality sensing node based on the cooling mode type, and setting the abnormality feedback interface of the computer room fluorine pump air conditioner according to the judgment baseline;

[0068] The intelligent monitoring module is used to combine the mode switching path, the abnormal sensing node and the abnormal feedback interface to intelligently monitor the fluorine pump air conditioner in the computer room to obtain intelligent monitoring results.

[0069] Compared with the prior art, the technical principle and beneficial effects of this solution are:

[0070] The embodiment of the present invention can ensure that the fluorine pump air conditioner equipment in the computer room operates in a stable environment by acquiring the computer room fluorine pump air conditioner to be monitored and its corresponding computer room environment, reduce hardware failures caused by overheating or other environmental factors, and timely grasp the operating status of the computer room fluorine pump air conditioner in the computer room environment, and provide data support for subsequent data analysis and processing; further, the embodiment of the present invention can quickly respond to changes in the computer room environment by identifying the refrigeration mode of the computer room fluorine pump air conditioner based on the correlation degree, accurately adjust the operating status of the fluorine pump and the compressor, and identify the refrigeration demand of the computer room fluorine pump air conditioner through environmental influencing factors, thereby helping the fluorine pump system switch to a suitable refrigeration mode and improving the operating efficiency of the fluorine pump system; further, the embodiment of the present invention can more accurately judge the current environmental conditions and refrigeration requirements by identifying the refrigeration mode type of the computer room fluorine pump air conditioner based on the indoor and outdoor temperature difference and the component operating parameters, identify the appropriate refrigeration mode, ensure that the refrigeration effect matches the actual needs of the computer room, thereby avoiding energy waste, and by identifying multi-source parameters The system can detect potential hidden faults in advance and prevent the expansion of faults from affecting the stable operation of the system by abnormal changes in the characteristics. The embodiment of the present invention can identify the mode switching path of the fluorine pump air conditioner in the computer room based on the time series data and the parameter feature set, identify the current control strategy of the fluorine pump air conditioner in the computer room, and by analyzing the mode switching and control strategy of the fluorine pump air conditioner in the computer room, ensure that the fluorine pump is switching the refrigeration mode while mastering the operating status of each component of the fluorine pump system, thereby improving the monitoring efficiency of intelligent monitoring. Further, the embodiment of the present invention combines the mode switching path, the abnormal sensing node and the abnormal feedback interface to intelligently monitor the fluorine pump air conditioner in the computer room to obtain intelligent monitoring results, which can reduce unnecessary mode conversion and energy loss, and can accurately control the operating status of the fluorine pump to ensure that it operates in the best working mode. At the same time, when the fluorine pump is abnormal, the system can quickly send an alarm signal to remind the operation and maintenance personnel to intervene in time to avoid the expansion of the fault, thereby improving the refrigeration efficiency and energy utilization of the system and ensuring the stable operation of the system. Therefore, the intelligent monitoring method of the fluorine pump air conditioner in the computer room proposed in the embodiment of the present invention can improve the monitoring efficiency of the fluorine pump air conditioner in the computer room. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0072] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0073] Figure 1 A flowchart of a method and system for intelligently monitoring a fluorine pump air conditioner in a computer room provided by an embodiment of the present invention;

[0074] Figure 2 A module diagram of a system of a method and system for intelligently monitoring a fluorine pump air conditioner in a computer room provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0075] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0076] The embodiment of the present invention provides a method and system for intelligent monitoring of a computer room fluorine pump air conditioner. The execution subject of the method and system for intelligent monitoring of a computer room fluorine pump air conditioner includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present invention. In other words, the method and system for intelligent monitoring of a computer room fluorine pump air conditioner can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc. The server can be an independent server, or it can be a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), as well as basic cloud computing services such as big data and artificial intelligence platforms.

[0077] See also Figure 1 The figure is a flow chart of a method and system for intelligent monitoring of a fluorine pump air conditioner in a computer room provided by an embodiment of the present invention. Figure 1 The method and system for intelligent monitoring of a fluorine pump air conditioner in a computer room described in the invention include:

[0078] S1. Acquire the computer room fluorine pump air conditioner to be monitored and its corresponding computer room environment, collect fluorine pump data of the computer room fluorine pump air conditioner, wherein the fluorine pump data includes computer room environmental parameters, component operating parameters and equipment maintenance data, analyze the correlation between data attributes in the fluorine pump data, and identify the cooling mode of the computer room fluorine pump air conditioner based on the correlation.

[0079] The embodiment of the present invention can ensure that the computer room fluorine pump air conditioner equipment operates in a stable environment by obtaining the computer room fluorine pump air conditioner to be monitored and its corresponding computer room environment, thereby reducing hardware failures caused by overheating or other environmental factors. The computer room environment refers to the spatial environment where the computer room fluorine pump air conditioner is located.

[0080] Optionally, the acquisition of the computer room environment corresponding to the fluorine pump air conditioner in the computer room to be monitored can be achieved by using a power environment monitoring system. For example, the environmental parameter monitoring module in the power environment monitoring system can monitor parameters such as temperature, humidity and air flow in the computer room.

[0081] Furthermore, the embodiment of the present invention can timely grasp the operating status of the computer room fluorine pump air conditioner in the computer room environment by collecting the fluorine pump data of the computer room fluorine pump air conditioner, and provide data support for subsequent data analysis and processing. The fluorine pump data refers to the component operating parameters related to the computer room fluorine pump air conditioning system, computer room environmental parameters and equipment maintenance parameters, such as evaporator inlet and outlet temperatures, ambient humidity and equipment maintenance logs.

[0082] As an embodiment of the present invention, the collection of fluorine pump data of the computer room fluorine pump air conditioner includes: analyzing the parameter type to be monitored of the computer room fluorine pump air conditioner; extracting component equipment corresponding to the parameter type; identifying the computer room environmental parameters associated with the component equipment, and querying the equipment maintenance parameters corresponding to the component equipment; based on the parameter type, setting the sensor node of the component equipment; according to the sensor node, obtaining the component operating parameters of the component equipment; combining the component operating parameters, the computer room environmental parameters and the equipment maintenance parameters, to collect the fluorine pump data of the computer room fluorine pump air conditioner.

[0083] Among them, the parameter type refers to the physical quantity that needs to be monitored in the computer room fluorine pump air conditioning system, such as temperature and pressure, the component equipment refers to the equipment related to the operation of the fluorine pump in the computer room fluorine pump air conditioning system, such as a compressor, the computer room environmental parameters refer to the environmental factors that can affect the changes in the parameters of each component equipment in the computer room fluorine pump air conditioning, such as humidity, the equipment maintenance parameters refer to the maintenance data parameters of the computer room fluorine pump air conditioning, the sensor node refers to the sensor equipment installed at the import and export positions of the component equipment for sensing and monitoring the operating status of the computer room fluorine pump air conditioning, such as a temperature sensor, and the component operating parameters refer to the status parameters of the equipment in the computer room fluorine pump air conditioning system during operation.

[0084] Optionally, the parameter type analysis of the computer room fluorine pump air conditioner to be monitored can be implemented according to the monitoring requirements of the computer room fluorine pump air conditioner, and the sensor node setting of the output device based on the parameter type can be implemented using a sensor device, such as a pressure sensor.

[0085] The embodiment of the present invention can accurately identify the influence relationship between the attributes by analyzing the correlation degree between the data attributes in the fluorine pump data, thereby making intelligent predictions on the associated data of the failure and reducing service interruptions caused by equipment failure. The data attributes refer to data categories used to describe the system operating status, environmental conditions and equipment health status in the computer room fluorine pump air-conditioning system, such as temperature data, flow data and pressure data. The correlation degree refers to the degree of mutual connection and influence between different data attributes. For example, when the ambient temperature rises, the humidity in the computer room usually decreases.

[0086] Optionally, the correlation analysis between the data attributes in the fluorine pump data can be implemented using a Pearson correlation coefficient calculation formula.

[0087] Furthermore, the embodiment of the present invention can quickly respond to changes in the computer room environment and accurately adjust the operating status of the fluorine pump and compressor by identifying the cooling mode of the computer room fluorine pump air conditioner based on the degree of correlation, wherein the operating status refers to the working status and performance of the computer room fluorine pump air conditioner.

[0088] As an embodiment of the present invention, the identifying the cooling mode of the computer room fluorine pump air conditioner based on the correlation degree includes: extracting the output device of the computer room fluorine pump air conditioner during operation based on the correlation degree; identifying the parameter variables of the output device, and performing correlation analysis on the parameter variables to obtain target correlation results; setting the cooling feature combination of the computer room fluorine pump air conditioner based on the target correlation results; and identifying the cooling mode of the computer room fluorine pump air conditioner based on the cooling feature combination.

[0089] Among them, the output device refers to the device responsible for outputting cold and adjusting environmental parameters when the fluorine pump system is running, such as a condenser; the parameter variable refers to the output parameter of the output device when the fluorine pump system is running, such as the operating frequency of the compressor; the target correlation result refers to the correlation analysis result between the parameter variables obtained after regression analysis of all parameter variables; the refrigeration feature combination refers to a group of parameter combinations that can enable the fluorine pump air-conditioning system to achieve the best refrigeration effect under different operating modes.

[0090] Optionally, the correlation analysis of the output variables can be implemented using a multivariate linear regression method, and based on the target correlation result, the refrigeration feature combination setting of the computer room fluorine pump air conditioner can be obtained by a cluster analysis method, such as a K-means clustering method.

[0091] S2. Extract component operating parameters of the computer room fluorine pump air conditioner, and determine the environmental impact factors of the component operating parameters; calculate the indoor and outdoor temperature difference of the computer room fluorine pump air conditioner during operation according to the environmental impact factors; identify the cooling mode type of the computer room fluorine pump air conditioner based on the indoor and outdoor temperature difference and the component operating parameters; and extract multi-source parameter features of the computer room fluorine pump air conditioner according to the cooling mode type.

[0092] The embodiment of the present invention extracts the component operating parameters of the computer room fluorine pump air conditioner and determines the environmental impact factors of the component operating parameters. The refrigeration demand of the computer room fluorine pump air conditioner can be identified through the environmental impact factors, thereby helping the fluorine pump system to switch to a suitable refrigeration mode and improving the operating efficiency of the fluorine pump system. The environmental impact factors refer to environmental conditions that affect the changes in the operating parameters of the relevant components of the computer room fluorine pump air conditioner, such as indoor and outdoor temperatures and computer room load.

[0093] As an embodiment of the present invention, determining the environmental impact factor of the component operating parameter includes: analyzing the parameter change law of the component operating parameter; identifying the computer room conditions corresponding to the component operating parameter based on the parameter change law; extracting indoor climate data from the computer room conditions; identifying outdoor temperature data corresponding to the indoor climate data; analyzing the computer room load characteristics under the computer room conditions; and determining the environmental impact factor of the component operating parameter by combining the indoor climate data, the outdoor temperature data and the computer room load characteristics.

[0094] Among them, the parameter change law refers to the pattern or trend of component operating parameters changing over time, the computer room condition refers to the environmental state inside the computer room, the indoor climate data refers to a series of meteorological parameters that describe the indoor environmental state, such as temperature, humidity, air flow, etc., the outdoor temperature data refers to the air temperature of the environment outside the computer room, and the computer room load characteristics refer to the operating status and energy consumption characteristics of IT equipment in the computer room, such as the heat dissipation of storage devices.

[0095] Optionally, the parameter change law analysis of the component operating parameters can be obtained through time series analysis, and the identification of the computer room conditions corresponding to the component operating parameters based on the parameter change law can be obtained by using environmental monitoring sensors deployed in the computer room, such as humidity sensors, and the analysis of the computer room load characteristics under the computer room conditions can be achieved using energy consumption monitoring equipment, such as PowerStat equipment.

[0096] Furthermore, the embodiment of the present invention calculates the indoor and outdoor temperature difference of the computer room fluorine pump air conditioner during operation according to the environmental influencing factors, and can dynamically adjust the operating parameters of key components such as the fluorine pump and the compressor according to the real-time changes of the indoor and outdoor temperature difference to ensure that the internal temperature of the computer room is stable within a preset range, wherein the indoor and outdoor temperature difference refers to the difference between the internal temperature of the computer room and the external temperature of the computer room.

[0097] Optionally, the calculation of the indoor and outdoor temperature difference during the operation of the computer room fluorine pump air conditioner according to the environmental impact factor can be implemented by using arithmetic operations, such as subtraction operations.

[0098] The embodiment of the present invention identifies the cooling mode type of the fluorine pump air conditioner in the computer room based on the indoor and outdoor temperature difference and the component operating parameters, so as to more accurately judge the current environmental conditions and cooling requirements, identify the appropriate cooling mode, and ensure that the cooling effect matches the actual needs of the computer room, thereby avoiding energy waste. The cooling mode type refers to the different working modes adopted by the fluorine pump air conditioning system under different operating conditions or requirements, such as the pure fluorine pump mode.

[0099] As an embodiment of the present invention, the identification of the cooling mode type of the computer room fluorine pump air conditioner based on the indoor and outdoor temperature difference and the component operating parameters includes: querying the mode switching standard of the computer room fluorine pump air conditioner; setting the temperature switching threshold of the indoor and outdoor temperature difference based on the mode switching standard; analyzing the parameter variation range of the component operating parameters under the temperature switching threshold; setting the classification variation interval of the component operating parameters based on the mode switching standard and the parameter variation range; and identifying the cooling mode type of the computer room fluorine pump air conditioner according to the temperature switching threshold and the classification variation interval.

[0100] Among them, the mode switching standard refers to the standard or condition for the fluorine pump air-conditioning system to switch between different operating modes, the temperature switching threshold refers to the critical value for determining the mode switching based on the indoor and outdoor temperature difference, the parameter variation range refers to the variation range of the component operating parameters under different refrigeration modes, and the classification variation range refers to the classification range corresponding to different refrigeration modes, which is divided into component operating parameters according to the switching standards of different refrigeration modes.

[0101] Optionally, the mode switching standard query of the computer room fluorine pump air conditioner can be obtained through the equipment usage guide, and the temperature switching threshold setting of the indoor and outdoor temperature difference value based on the mode switching standard can be achieved by analyzing the historical records of actual operation, and the parameter variation range analysis of the component operating parameters under the temperature switching threshold can be obtained by recording the parameter variation range of the operating parameters under the influence of indoor and outdoor temperatures under the monitoring equipment.

[0102] Furthermore, the embodiment of the present invention can accurately determine the type of cooling mode the computer room fluorine pump air conditioner is currently in by extracting multi-source parameter features of the computer room fluorine pump air conditioner according to the cooling mode type. By identifying abnormal changes in multi-source parameter features, the system can discover potential hidden faults in advance and prevent the expansion of faults from affecting the stable operation of the system. The multi-source parameter features refer to a set of features extracted from different sources or different types of data under a specific cooling mode.

[0103] As an embodiment of the present invention, the multi-source parameter characteristics of the computer room fluorine pump air conditioner are extracted according to the refrigeration mode type, including: collecting real-time fluorine pump data of the computer room fluorine pump air conditioner; extracting real-time parameter characteristics of the real-time fluorine pump data; classifying the real-time fluorine pump data according to the refrigeration mode type to obtain classification pattern data; extracting classification pattern parameter characteristics of the classification pattern data; calculating the similarity between the real-time parameter characteristics and the classification pattern parameter characteristics; and determining the multi-source parameter characteristics of the computer room fluorine pump air conditioner according to the similarity.

[0104] Among them, the real-time fluorine pump data refers to the real-time operation data collected directly from the fluorine pump air-conditioning system in the computer room, the real-time parameter features refer to the key information or statistics extracted from the real-time fluorine pump data, such as the average temperature, the classification pattern data refers to the data set obtained after classifying the real-time fluorine pump data according to the refrigeration mode type, the classification pattern parameter features refer to the features extracted from the classification pattern data that can describe and distinguish the system behavior under different refrigeration modes, and the similarity degree refers to the similarity measure between the real-time parameter features and the classification pattern parameter features.

[0105] Optionally, the real-time fluorine pump data collection of the computer room fluorine pump air conditioner can be obtained through various sensors installed on the fluorine pump system, and the real-time parameter feature extraction of the real-time fluorine pump data can be achieved using a machine learning model, such as a neural network model.

[0106] In an optional embodiment of the present invention, the similarity between the real-time parameter feature and the classification mode parameter feature is calculated using the following formula:

[0107] ;

[0108] Among them, k represents the similarity between the real-time parameter features and the classification mode parameter features, represents the observed value of the real-time parameter feature at point m, represents the observed value of the classification mode parameter feature at point m, m represents the observed value index of the paired real-time parameter feature and the classification mode parameter feature, N represents the total number of observed values ​​of the paired real-time parameter feature and the classification mode parameter feature, represents the average value of the real-time parameter characteristics, Represents the average value of the parameter characteristics of the classification mode.

[0109] S3. Query the historical multi-source data of the computer room fluorine pump air conditioner, identify the time series data of the historical multi-source data, extract the historical parameter features corresponding to the historical multi-source data based on the multi-source parameter features, cross-fuse the multi-source parameter features with the historical parameter features to form a parameter feature set, and identify the mode switching path of the computer room fluorine pump air conditioner based on the time series data and the parameter feature set.

[0110] The embodiment of the present invention can query the historical multi-source data of the computer room fluorine pump air conditioner and compare it with the real-time data of the computer room fluorine pump air conditioner, so as to extract the cross-features of the computer room fluorine pump air conditioner during operation as a basis for identifying different cooling modes. The historical multi-source data refers to the operating data of the computer room fluorine pump air conditioner in the past.

[0111] Optionally, the historical multi-source data query of the computer room fluorine pump air conditioner can be obtained through the historical records of the operation of the computer room fluorine pump air conditioner.

[0112] Furthermore, the embodiment of the present invention can understand the operating characteristics of the computer room fluorine pump air conditioner that change over time by identifying the time series data of the historical multi-source data, thereby extracting historical characteristics corresponding to the real-time parameter operating characteristics, and improving the accuracy of intelligent monitoring of the computer room fluorine pump air conditioner. The time series data refers to the operating data of the computer room fluorine pump air conditioner that changed over time in the past.

[0113] Optionally, the time series data identification of the historical multi-source data can be obtained through the timestamp of the historical multi-source data.

[0114] The embodiment of the present invention can identify the operating characteristics of the computer room fluorine pump air conditioner under different refrigeration modes by extracting the historical parameter characteristics corresponding to the historical multi-source data based on the multi-source parameter characteristics, thereby improving the efficiency of intelligent monitoring. The parameter feature set refers to a feature set of different data sources obtained by fusing the historical parameter characteristics with the multi-source parameter characteristics.

[0115] Optionally, the historical parameter feature extraction corresponding to the historical multi-source data based on the multi-source parameter feature can be obtained by simulating the extraction method of the multi-source parameter feature.

[0116] Furthermore, the embodiment of the present invention forms a parameter feature set by cross-fusion of the multi-source parameter features and the historical parameter features, which can integrate the operating parameter features of the computer room fluorine pump air conditioner under different refrigeration modes, improve the accuracy and comprehensiveness of the feature data set, and thus provide comprehensive data support for subsequent intelligent monitoring. The parameter feature set refers to combining multiple parameterized features of the computer room fluorine pump air conditioner to form a set that is interrelated and jointly describes a specific refrigeration mode.

[0117] Optionally, the cross-fusion of the multi-source parameter features and the historical parameter features can be achieved using a recurrent neural network.

[0118] The embodiment of the present invention can identify the mode switching path of the computer room fluorine pump air conditioner based on the time series data and the parameter feature set, identify the current control strategy of the computer room fluorine pump air conditioner, and by analyzing the mode switching and control strategy of the computer room fluorine pump air conditioner, ensure that the fluorine pump is switching the refrigeration mode while mastering the operating status of each component of the fluorine pump system, thereby improving the monitoring efficiency of intelligent monitoring. The mode switching path refers to the trajectory of the computer room fluorine pump air conditioner switching between different working modes.

[0119] As an embodiment of the present invention, the mode switching path of the computer room fluorine pump air conditioner is identified based on the time series data and the parameter feature set, including: identifying the current working mode of the computer room fluorine pump air conditioner based on the time series data and the parameter feature set; extracting the parameter characteristics of the current working mode based on the parameter feature set; analyzing the characteristic change trend of the parameter characteristics; setting the mode switching conditions of the computer room fluorine pump air conditioner, and setting the mode stratification interval of the characteristic change trend according to the mode switching conditions; identifying the mode switching path of the computer room fluorine pump air conditioner in combination with the mode switching conditions and the mode stratification interval.

[0120] Among them, the current working mode refers to the operating mode of the computer room fluorine pump air conditioner at a specific time point, such as the energy-saving mode, the parameter feature refers to the feature parameter corresponding to the parameter feature set, the feature change trend refers to the pattern of parameter feature change over time, the mode switching condition refers to the condition that triggers the computer room fluorine pump air conditioner to switch from one working mode to another, such as the temperature exceeds the set threshold, and the mode stratification interval refers to dividing the parameter feature set into different intervals according to the feature change trend, and each interval corresponds to a working mode.

[0121] Optionally, the characteristic change trend analysis of the parameter characteristics can be obtained through statistical analysis tools, such as statsmodels, and the mode switching condition setting of the computer room fluorine pump air conditioner can be implemented using a rule engine, such as Drools. According to the mode switching condition, the mode stratification interval setting of the characteristic change trend can be obtained through a clustering algorithm, such as K-means.

[0122] S4. Based on the mode switching path, identify the associated elements of the computer room fluorine pump air conditioner, calculate the index weight of the associated elements in the computer room fluorine pump air conditioner, set the abnormal sensing node of the computer room fluorine pump air conditioner according to the index weight, set the judgment baseline of the abnormal sensing node based on the cooling mode type, and set the abnormal feedback interface of the computer room fluorine pump air conditioner according to the judgment baseline.

[0123] The embodiment of the present invention can identify the associated elements of the computer room fluorine pump air conditioner based on the mode switching path, and can perform targeted intelligent monitoring of the computer room fluorine pump air conditioner to improve the overall monitoring efficiency of the fluorine pump system. The associated elements refer to the operating equipment of the computer room fluorine pump air conditioner, such as a condenser.

[0124] Optionally, the identification of associated components of the computer room fluorine pump air conditioner based on the mode switching path can be achieved by utilizing a structural diagram of the computer room fluorine pump air conditioner.

[0125] Furthermore, the embodiment of the present invention can clarify the importance level of each part of the computer room fluorine pump air conditioner by calculating the index weight of the associated components in the computer room fluorine pump air conditioner, thereby intervening in key equipment and avoiding the risk of fluorine pump system shutdown caused by a single equipment failure. The index weight refers to the importance of the associated components to the operation of the computer room fluorine pump air conditioning system.

[0126] As an embodiment of the present invention, the calculation of the index weight of the associated element in the computer room fluorine pump air conditioner includes: setting an evaluation index of the associated element in the computer room fluorine pump air conditioner; decomposing the evaluation index to obtain a sub-evaluation index; analyzing the metric proportion corresponding to the sub-evaluation index in the associated element; calculating the information entropy of the associated element based on the metric proportion and the sub-evaluation index; and calculating the index weight of the associated element in the computer room fluorine pump air conditioner based on the information entropy.

[0127] Among them, the evaluation index refers to the specific index used to evaluate the impact of related components on the performance of the computer room fluorine pump air conditioner, the sub-evaluation index refers to further decomposing the evaluation index into more fine-grained sub-indicators, the measurement weight refers to the importance of each sub-evaluation index in the overall evaluation, and the information entropy refers to the uncertainty or amount of information used to measure each sub-evaluation index in the evaluation system.

[0128] Optionally, the setting of the evaluation index of the associated element in the computer room fluorine pump air conditioner can be achieved by utilizing the importance evaluation of the performance parameters of the associated element, and the metric weight analysis corresponding to the sub-evaluation index of the associated element can be obtained by principal component analysis.

[0129] In an optional embodiment of the present invention, the information entropy of the associated element is calculated based on the metric weight and the sub-evaluation index:

[0130] ;

[0131] in, represents the information entropy of the i-th associated element, k represents a constant, usually 1 / ln(n), and n represents the total number of sub-evaluation indicators. It represents the weight of the fth sub-evaluation index in the ith associated element. express The natural logarithm of , i represents the index of the associated element, and f represents the index of the sub-evaluation indicator.

[0132] In another optional embodiment of the present invention, according to the information entropy, the index weight of the associated element in the computer room fluorine pump air conditioner is calculated using the following formula:

[0133] ;

[0134] in, Indicates the index weight of the associated components in the fluorine pump air conditioner in the computer room, represents the information entropy of the g-th associated element in the fluorine pump air conditioner in the computer room, It represents the effective information value of the g-th associated component, the fluorine pump air conditioner in the computer room, and m represents the total number of associated components.

[0135] The embodiment of the present invention sets the abnormal sensing node of the computer room fluorine pump air conditioner according to the indicator weight, so as to monitor the key parameters in the operation of the fluorine pump in real time and improve the accuracy and timeliness of fault identification. The risk sensing node refers to a node set in the computer room fluorine pump air conditioning system for monitoring the equipment operating status and potential risks.

[0136] As an embodiment of the present invention, setting the abnormal perception node of the computer room fluorine pump air conditioner according to the indicator weight includes: extracting key components of the computer room fluorine pump air conditioner according to the indicator weight; analyzing parameter output attributes of the key components; locating the output position corresponding to the parameter output attribute in the computer room fluorine pump air conditioner; setting a normal parameter threshold corresponding to the parameter output attribute; and setting the abnormal perception node of the computer room fluorine pump air conditioner based on the normal parameter threshold and the output position.

[0137] Among them, the parameter output attribute refers to a specific parameter that can be measured or recorded during the operation of the key component, the output position refers to the specific measurement point or position of the parameter output attribute in the computer room fluorine pump air-conditioning system, and the normal parameter threshold refers to the normal value range of the parameter output attribute under normal operating conditions.

[0138] Optionally, the parameter output attribute analysis of the key components can be implemented by using monitoring equipment, and the output position location corresponding to the parameter output attribute in the computer room fluorine pump air conditioner can be obtained through the equipment installation manual.

[0139] Furthermore, the embodiment of the present invention sets the judgment baseline of the abnormal sensing node based on the cooling mode type, thereby ensuring that the system can more accurately diagnose problems that may occur in different operating modes, reduce the possibility of misdiagnosis and missed diagnosis, and improve the accuracy of diagnosis. The judgment baseline refers to the standard line for judging whether the operating data of the computer room fluorine pump air conditioner is abnormal.

[0140] Optionally, the judgment baseline setting of the abnormal sensing node based on the cooling mode type can be implemented using a machine algorithm, such as a classification algorithm.

[0141] The embodiment of the present invention sets an abnormal feedback interface of the computer room fluorine pump air conditioner according to the judgment baseline, so as to monitor the switching efficiency and stability of the fluorine pump between different refrigeration modes, thereby making the operating state of the fluorine pump system controllable. The abnormal feedback interface refers to a device for receiving, processing and feeding back abnormal data.

[0142] As an embodiment of the present invention, setting the abnormal feedback interface of the computer room fluorine pump air conditioner according to the judgment baseline includes: setting the early warning threshold of the computer room fluorine pump air conditioner according to the judgment baseline; identifying the current working mode of the computer room fluorine pump air conditioner; identifying the abnormal factor of the computer room fluorine pump air conditioner based on the early warning threshold and the current working mode; analyzing the risk level of the abnormal factor, and setting the alarm level of the computer room fluorine pump air conditioner according to the risk level; and setting the abnormal feedback interface of the computer room fluorine pump air conditioner based on the risk level and the alarm level.

[0143] Among them, the warning threshold refers to the maximum normal value of the operating parameters of the computer room fluorine pump air conditioner set based on the judgment baseline, the abnormal factor refers to the factor that may cause abnormal operation of the fluorine pump, such as excessive temperature, abnormal pressure, etc., the risk level refers to the importance classification of risks according to the severity of the abnormal factors and the possible impact, and the alarm level refers to the alarm level set according to the risk level.

[0144] Optionally, based on the warning threshold and the current working mode, the abnormal factor identification of the computer room fluorine pump air conditioner can be achieved using an abnormality detection algorithm, the risk level analysis of the abnormal factor can be obtained through a decision tree, and according to the risk level, the alarm level setting of the computer room fluorine pump air conditioner can be achieved using an alarm management system.

[0145] S5. Combine the mode switching path, the abnormal sensing node and the abnormal feedback interface to perform intelligent monitoring on the computer room fluorine pump air conditioner to obtain an intelligent monitoring result.

[0146] The embodiment of the present invention combines the mode switching path, the abnormal sensing node and the abnormal feedback interface to intelligently monitor the computer room fluorine pump air conditioner to obtain intelligent monitoring results, which can reduce unnecessary mode conversion and energy loss, and can accurately control the operating state of the fluorine pump to ensure that it operates in the optimal working mode. At the same time, when the fluorine pump operation is abnormal, the system can quickly send out an alarm signal to remind the operation and maintenance personnel to intervene in time to avoid the expansion of the fault, thereby improving the system's cooling efficiency, energy utilization and ensuring the stable operation of the system. The intelligent monitoring result refers to the result obtained after intelligent monitoring of the computer room fluorine pump air conditioner.

[0147] As an embodiment of the present invention, the mode switching path, the abnormal sensing node and the abnormal feedback interface are combined to intelligently monitor the computer room fluorine pump air conditioner to obtain an intelligent monitoring result, including: collecting real-time fluorine pump data under the mode switching path; identifying the risk threshold of the real-time fluorine pump data; based on the risk threshold, setting the abnormal sensing node of the computer room fluorine pump air conditioner, and setting the abnormal feedback interface of the abnormal sensing node; based on the risk threshold and the abnormal feedback interface, the computer room fluorine pump air conditioner is intelligently monitored to obtain an intelligent monitoring result.

[0148] Among them, the real-time sensing data refers to data reflecting the current operating status of the fluorine pump air conditioner in the computer room, and the risk threshold refers to a parameter value for judging whether the real-time fluorine pump data is normal.

[0149] Optionally, the real-time fluorine pump data collection of the mode switching path can be implemented using a sensor, such as a pressure sensor, and the risk threshold identification of the real-time fluorine pump data can be obtained through the Apache Kafka system.

[0150] It can be seen that the embodiment of the present invention can ensure that the fluorine pump air conditioner equipment in the computer room operates in a stable environment by acquiring the computer room fluorine pump air conditioner to be monitored and its corresponding computer room environment, reduce hardware failures caused by overheating or other environmental factors, and timely grasp the operating status of the computer room fluorine pump air conditioner in the computer room environment, and provide data support for subsequent data analysis and processing; further, the embodiment of the present invention can quickly respond to changes in the computer room environment by identifying the refrigeration mode of the computer room fluorine pump air conditioner based on the degree of association, accurately adjust the operating status of the fluorine pump and the compressor, and identify the refrigeration demand of the computer room fluorine pump air conditioner through environmental influencing factors, thereby helping the fluorine pump system switch to a suitable refrigeration mode and improving the operating efficiency of the fluorine pump system; further, the embodiment of the present invention can more accurately judge the current environmental conditions and refrigeration needs by identifying the refrigeration mode type of the computer room fluorine pump air conditioner based on the indoor and outdoor temperature difference and the component operating parameters, identify the appropriate refrigeration mode, ensure that the refrigeration effect matches the actual needs of the computer room, thereby avoiding energy waste, and by identifying multiple Abnormal changes in source parameter characteristics, the system can detect potential hidden faults in advance and prevent the expansion of faults from affecting the stable operation of the system; the embodiment of the present invention can identify the mode switching path of the computer room fluorine pump air conditioner based on the time series data and the parameter feature set, identify the current control strategy of the computer room fluorine pump air conditioner, and by analyzing the mode switching and control strategy of the computer room fluorine pump air conditioner, it can ensure that the fluorine pump is switching the refrigeration mode while mastering the operating status of each component of the fluorine pump system, thereby improving the monitoring efficiency of intelligent monitoring; further, the embodiment of the present invention combines the mode switching path, the abnormal sensing node and the abnormal feedback interface to intelligently monitor the computer room fluorine pump air conditioner to obtain intelligent monitoring results, which can reduce unnecessary mode conversion and energy loss, and can accurately control the operating status of the fluorine pump to ensure that it operates in the best working mode. At the same time, when the fluorine pump is abnormal, the system can quickly send an alarm signal to remind the operation and maintenance personnel to intervene in time to avoid the expansion of the fault, thereby improving the system's refrigeration efficiency, energy utilization and ensuring the stable operation of the system. Therefore, the intelligent monitoring method of the computer room fluorine pump air conditioner proposed in the embodiment of the present invention can improve the monitoring efficiency of the computer room fluorine pump air conditioner.

[0151] like Figure 2 The figure shows a system function module diagram of a method and system for intelligently monitoring a fluorine pump air conditioner in a computer room according to the present invention.

[0152] The system 200 of the intelligent monitoring method and system of the fluorine pump air conditioner in the computer room of the present invention can be installed in an electronic device. According to the functions to be implemented, the system of the intelligent monitoring method and system of the fluorine pump air conditioner in the computer room can include a data acquisition module 201, a feature extraction module 202, a working mode analysis module 203, an abnormality identification module 204, and an intelligent monitoring module 205. The module described in the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0153] In the embodiment of the present invention, the functions of each module / unit are as follows:

[0154] The data acquisition module 201 is used to obtain the fluorine pump air conditioner in the computer room to be monitored and its corresponding computer room environment, collect the fluorine pump data of the fluorine pump air conditioner in the computer room, wherein the fluorine pump data includes computer room environment parameters, component operation parameters and equipment maintenance data, analyze the correlation between data attributes in the fluorine pump data, and identify the cooling mode of the fluorine pump air conditioner in the computer room based on the correlation;

[0155] The feature extraction module 202 is used to extract the component operating parameters of the computer room fluorine pump air conditioner, and determine the environmental impact factors of the component operating parameters, calculate the indoor and outdoor temperature difference of the computer room fluorine pump air conditioner during operation according to the environmental impact factors, identify the cooling mode type of the computer room fluorine pump air conditioner based on the indoor and outdoor temperature difference and the component operating parameters, and extract the multi-source parameter features of the computer room fluorine pump air conditioner according to the cooling mode type;

[0156] The working mode analysis module 203 is used to query the historical multi-source data of the computer room fluorine pump air conditioner, identify the time series data of the historical multi-source data, extract the historical parameter features corresponding to the historical multi-source data based on the multi-source parameter features, cross-fuse the multi-source parameter features with the historical parameter features to form a parameter feature set, and identify the mode switching path of the computer room fluorine pump air conditioner based on the time series data and the parameter feature set;

[0157] The abnormality identification module 204 is used to identify the associated elements of the computer room fluorine pump air conditioner based on the mode switching path, calculate the index weight of the associated elements in the computer room fluorine pump air conditioner, set the abnormality perception node of the computer room fluorine pump air conditioner according to the index weight, set the judgment baseline of the abnormality perception node based on the cooling mode type, and set the abnormality feedback interface of the computer room fluorine pump air conditioner according to the judgment baseline;

[0158] The intelligent monitoring module 205 is used to combine the mode switching path, the abnormal sensing node and the abnormal feedback interface to perform intelligent monitoring on the fluorine pump air conditioner in the computer room to obtain an intelligent monitoring result.

[0159] In detail, the modules in the system 200 of the intelligent monitoring method and system for a fluorine pump air conditioner in a computer room described in the embodiment of the present invention are used in the same manner as described above. Figure 1 The same technical means as described in the method and system for intelligent monitoring of fluorine pump air conditioners in a computer room and can produce the same technical effects will not be repeated here.

[0160] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. An intelligent monitoring method for fluorine pump air conditioner in a computer room. It is characterized in that The method comprises: Acquire the fluorine pump air conditioner in the computer room to be monitored and its corresponding computer room environment, collect fluorine pump data of the fluorine pump air conditioner in the computer room, wherein the fluorine pump data includes computer room environment parameters, component operation parameters and equipment maintenance data, analyze the correlation between data attributes in the fluorine pump data, and identify the cooling mode of the fluorine pump air conditioner in the computer room based on the correlation; Extracting component operating parameters of the computer room fluorine pump air conditioner, and determining environmental impact factors of the component operating parameters, calculating the indoor and outdoor temperature difference of the computer room fluorine pump air conditioner during operation according to the environmental impact factors, identifying the cooling mode type of the computer room fluorine pump air conditioner based on the indoor and outdoor temperature difference and the component operating parameters, and extracting multi-source parameter features of the computer room fluorine pump air conditioner according to the cooling mode type; Query the historical multi-source data of the computer room fluorine pump air conditioner, identify the time series data of the historical multi-source data, extract the historical parameter features corresponding to the historical multi-source data based on the multi-source parameter features, cross-fuse the multi-source parameter features with the historical parameter features to form a parameter feature set, and identify the mode switching path of the computer room fluorine pump air conditioner based on the time series data and the parameter feature set; Based on the mode switching path, identifying the associated elements of the computer room fluorine pump air conditioner, calculating the index weight of the associated elements in the computer room fluorine pump air conditioner, setting the abnormal sensing node of the computer room fluorine pump air conditioner according to the index weight, setting the judgment baseline of the abnormal sensing node based on the cooling mode type, and setting the abnormal feedback interface of the computer room fluorine pump air conditioner according to the judgment baseline; In combination with the mode switching path, the abnormal sensing node and the abnormal feedback interface, the fluorine pump air conditioner in the computer room is intelligently monitored to obtain an intelligent monitoring result; The extracting of multi-source parameter features of the computer room fluorine pump air conditioner according to the cooling mode type includes: Collecting real-time fluorine pump data of the fluorine pump air conditioner in the computer room; Extracting real-time parameter features of the real-time fluorine pump data; According to the refrigeration mode type, the real-time fluorine pump data is classified and processed to obtain classification mode data; Extracting classification pattern parameter features of the classification pattern data; The similarity between the real-time parameter feature and the classification mode parameter feature is calculated using the following formula: ； Among them, k represents the similarity between the real-time parameter features and the classification mode parameter features, represents the observed value of the real-time parameter feature at point m, represents the observed value of the classification mode parameter feature at point m, m represents the observed value index of the paired real-time parameter feature and the classification mode parameter feature, N represents the total number of observed values ​​of the paired real-time parameter feature and the classification mode parameter feature, represents the average value of the real-time parameter characteristics, represents the average value of the parameter characteristics of the classification mode; According to the similarity level, the multi-source parameter characteristics of the computer room fluorine pump air conditioner are determined.

2. The method according to claim 1, It is characterized in that The collecting of the fluorine pump data of the fluorine pump air conditioner in the computer room includes: Analyze the types of parameters to be monitored for the fluorine pump air conditioner in the computer room; Extracting component equipment corresponding to the parameter type; Identify the computer room environment parameters associated with the component equipment, and query the equipment maintenance parameters corresponding to the component equipment; Based on the parameter type, setting the sensor node of the component device; According to the sensor node, obtaining the component operation parameters of the component equipment; In combination with the component operation parameters, the computer room environment parameters and the equipment maintenance parameters, the fluorine pump data of the computer room fluorine pump air conditioner is collected.

3. The method according to claim 1, It is characterized in that The step of identifying the cooling mode of the computer room fluorine pump air conditioner based on the correlation degree includes: Based on the correlation degree, extract the output device of the fluorine pump air conditioner in the computer room during operation; Identifying parameter variables of the output device, and performing correlation analysis on the parameter variables to obtain target correlation results; Based on the target correlation result, setting the refrigeration feature combination of the fluorine pump air conditioner in the computer room; Based on the refrigeration feature combination, the refrigeration mode of the computer room fluorine pump air conditioner is identified.

4. The method according to claim 1, It is characterized in that The determining of the environmental impact factors of the component operating parameters includes: Analyzing the parameter variation rules of the operating parameters of the components; Based on the parameter variation pattern, identifying the equipment room conditions corresponding to the component operating parameters; Extracting indoor climate data from the computer room conditions; Identifying outdoor temperature data corresponding to the indoor climate data; Analyzing the load characteristics of the computer room under the computer room conditions; The environmental impact factors of the component operating parameters are determined by combining the indoor climate data, the outdoor temperature data and the equipment room load characteristics.

5. The method according to claim 1, It is characterized in that The step of identifying the cooling mode type of the computer room fluorine pump air conditioner based on the indoor and outdoor temperature difference and the component operation parameters includes: Query the mode switching standard of the fluorine pump air conditioner in the computer room; Based on the mode switching standard, setting a temperature switching threshold of the indoor and outdoor temperature difference; Analyze the parameter variation range of the component operating parameters under the temperature switching threshold; Based on the mode switching standard and the parameter variation range, setting the classification variation interval of the component operation parameter; The cooling mode type of the computer room fluorine pump air conditioner is identified according to the temperature switching threshold and the classification change interval.

6. The method according to claim 1, It is characterized in that The identifying the mode switching path of the computer room fluorine pump air conditioner based on the time series data and the parameter feature set includes: Based on the time series data and the parameter feature set, identifying the current working mode of the computer room fluorine pump air conditioner; Based on the parameter feature set, extracting parameter features of the current working mode; Analyzing characteristic change trends of the parameter characteristics; Setting a mode switching condition of the fluorine pump air conditioner in the computer room, and setting a mode stratification interval of the characteristic change trend according to the mode switching condition; In combination with the mode switching condition and the mode stratification interval, a mode switching path of the computer room fluorine pump air conditioner is identified.

7. The method according to claim 1, It is characterized in that The step of setting the abnormality sensing node of the fluorine pump air conditioner in the computer room according to the indicator weight includes: According to the indicator weights, key components of the fluorine pump air conditioner in the computer room are extracted; Analyzing parameter output properties of the key components; Locate the output position corresponding to the parameter output attribute in the computer room fluorine pump air conditioner; Setting a normal parameter threshold corresponding to the parameter output attribute; Based on the normal parameter threshold and the output position, an abnormality sensing node of the computer room fluorine pump air conditioner is set.

8. The method according to claim 1, It is characterized in that The abnormal feedback interface of the fluorine pump air conditioner in the computer room is set according to the judgment baseline, including: According to the judgment baseline, setting the warning threshold of the fluorine pump air conditioner in the computer room; Identify the current working mode of the fluorine pump air conditioner in the computer room; Based on the warning threshold and the current working mode, identifying abnormal factors of the fluorine pump air conditioner in the computer room; Analyze the risk level of the abnormal factor, and set the alarm level of the fluorine pump air conditioner in the computer room according to the risk level; Based on the risk level and the alarm level, an abnormal feedback interface of the computer room fluorine pump air conditioner is set.

9. An intelligent monitoring system for fluorine pump air conditioners in computer rooms. It is characterized in that The system implements the method according to claim 1, and the system comprises: A data acquisition module, used to obtain the fluorine pump air conditioner in the computer room to be monitored and its corresponding computer room environment, collect the fluorine pump data of the fluorine pump air conditioner in the computer room, wherein the fluorine pump data includes computer room environment parameters, component operation parameters and equipment maintenance data, analyze the correlation between data attributes in the fluorine pump data, and identify the cooling mode of the fluorine pump air conditioner in the computer room based on the correlation degree; A feature extraction module, used to extract the component operating parameters of the computer room fluorine pump air conditioner, and determine the environmental impact factors of the component operating parameters, calculate the indoor and outdoor temperature difference of the computer room fluorine pump air conditioner during operation according to the environmental impact factors, identify the cooling mode type of the computer room fluorine pump air conditioner based on the indoor and outdoor temperature difference and the component operating parameters, and extract the multi-source parameter features of the computer room fluorine pump air conditioner according to the cooling mode type; A working mode analysis module, used for querying the historical multi-source data of the computer room fluorine pump air conditioner, identifying the time series data of the historical multi-source data, extracting the historical parameter features corresponding to the historical multi-source data based on the multi-source parameter features, cross-merging the multi-source parameter features with the historical parameter features to form a parameter feature set, and identifying the mode switching path of the computer room fluorine pump air conditioner based on the time series data and the parameter feature set; An abnormality identification module, used for identifying the associated elements of the computer room fluorine pump air conditioner based on the mode switching path, calculating the index weight of the associated elements in the computer room fluorine pump air conditioner, setting the abnormality sensing node of the computer room fluorine pump air conditioner according to the index weight, setting the judgment baseline of the abnormality sensing node based on the cooling mode type, and setting the abnormality feedback interface of the computer room fluorine pump air conditioner according to the judgment baseline; The intelligent monitoring module is used to combine the mode switching path, the abnormal sensing node and the abnormal feedback interface to intelligently monitor the fluorine pump air conditioner in the computer room to obtain intelligent monitoring results.

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