Air conditioning online monitoring management system and method

Abstract

The invention discloses an online monitoring management system and method for an air conditioner, relates to the technical field of air conditioner management, and solves the problem that the prior art locates the air conditioner through node information but does not consider evaluating the effect of the air conditioner, resulting in the final effect of the air conditioner failing to meet expectations and causing abnormal technical problems in the equipment in the computer room. The invention collects real-time data of the computer room through a wireless sensor to start and stop the air conditioner; detects the real-time temperature of the computer room, and calculates the control evaluation coefficient of the air conditioner when the real-time temperature reaches a standard value; generates a control adjustment signal according to the control evaluation coefficient, and adjusts the operating parameters of the air conditioner; determines whether the air conditioner fails; if so, generates an early warning signal, analyzes the cause of the failure and performs maintenance on the air conditioner; if not, continuously detects the operating data; can adjust the operating parameters of the air conditioner in time, which is conducive to achieving the expected effect of the air conditioner.

Description

Technical Field

[0001] The invention belongs to the field of air conditioning management, and relates to an air conditioning online monitoring management technology, in particular to an air conditioning online monitoring management system and method. Background Art

[0002] Online air conditioning monitoring and management is a method of remotely monitoring, managing and controlling air conditioning equipment using modern information technology. This management method can realize real-time monitoring, data collection, abnormal warning, remote control and energy efficiency analysis of air conditioning equipment, thereby improving the operating efficiency of the air conditioning system and reducing energy consumption costs. The real-time monitoring function enables managers to grasp the operating status of air conditioning equipment at any time, discover and solve problems in a timely manner, and avoid downtime or inefficient operation due to equipment failure. Through data analysis, the energy consumption of air conditioners can be accurately grasped, abnormal energy consumption can be discovered, and corresponding energy-saving measures can be taken. Online monitoring of air conditioners helps achieve energy conservation and emission reduction goals and reduce the impact on the environment. Through data analysis and timely innovation, the operating efficiency of the air conditioning system is continuously optimized to contribute to sustainable development. Monitoring and management of air conditioners can ensure the stable operation of the air conditioning system, discover and deal with potential safety hazards in a timely manner, and ensure the stable operation of the system.

[0003] The prior art (invention patent with application number 202010514877.8) discloses an air conditioning monitoring and management method, which includes: the current node receives the unit data uploaded by the next-level node; parses the node identification information from the unit data; if the unit data needs to be uploaded to the upper-level node, the current node's identification is added to the node identification information to obtain new node identification information; the unit data carrying the new node identification information is sent to the upper-level node; by processing the node identification information carried in the unit data, the node identification information can reflect the association relationship between the data uploaded by the nodes at each level, so that the target node can determine the air conditioner that uploaded the unit data, locate the air conditioner, and efficiently realize accurate monitoring and management of the air conditioner in the entire network step by step; however, the prior art locates the air conditioner through node information, without considering the evaluation of the effect of the air conditioner, resulting in the final effect of the air conditioner not meeting expectations, causing abnormalities in the equipment in the computer room.

[0004] The present invention provides an air-conditioning online monitoring management system and method to solve the above technical problems. Summary of the invention

[0005] The present invention aims to solve at least one of the technical problems existing in the prior art; to this end, the present invention proposes an air-conditioning online monitoring management system and method, which are used to solve the technical problem that the prior art locates the air-conditioner through node information, does not consider the evaluation of the effect of the air-conditioner, resulting in the final effect of the air-conditioner not meeting the expectation, causing abnormalities in the equipment in the computer room.

[0006] To achieve the above object, the first aspect of the present invention provides an air conditioner online monitoring and management system, comprising: an analysis and control module, and a data acquisition module and a terminal management module connected thereto;

[0007] Data acquisition module: collects real-time data of the computer room through wireless sensors; pre-processes the real-time data to obtain analytical data; the real-time data includes the collection time and real-time temperature; the wireless sensors are set according to the layout of the computer room;

[0008] Analysis and control module: obtain the real-time operating status of the air conditioner, and start and stop the air conditioner according to the real-time operating status and analysis data; detect the real-time temperature of the computer room, and when the real-time temperature reaches the standard value, calculate the control evaluation coefficient of the air conditioner; generate a control adjustment signal according to the control evaluation coefficient; and,

[0009] Obtain the real-time operating parameters of the air conditioner and determine whether the air conditioner is faulty based on the real-time operating parameters; if yes, generate an early warning signal and analyze the cause of the fault; if no, continue to detect the real-time operating parameters of the air conditioner;

[0010] Terminal management module: adjusts the operating parameters of the air conditioner according to the control adjustment signal of the air conditioner; repairs the air conditioner according to the early warning signal and the cause of the fault; and stores the adjustment and repair results in the database.

[0011] Preferably, the preprocessing of the real-time data to obtain the analysis data includes:

[0012] Retrieve real-time data and determine whether the real-time data contains all sub-data; if yes, retain the corresponding real-time data; if no, supplement the real-time data;

[0013] Determine whether the collection time in the real-time data is repeated; if yes, remove the corresponding real-time data; if no, retain the corresponding real-time data;

[0014] Mark the retained real-time data and the supplemented real-time data as analytical data.

[0015] It should be noted that the sub-data of real-time data includes collection time, real-time temperature or real-time humidity; when there are two sets of real-time data with the same collection time in the real-time data, and the sub-data of the two sets of real-time data are the same, one set of real-time data is eliminated; when only the collection time is the same, the remaining sub-data are verified and the erroneous real-time data is eliminated.

[0016] The present invention analyzes the collected real-time data, first judges the integrity of the real-time data, and supplements the missing sub-data; analyzes the collection time in the real-time data, and when the collection time is the same, eliminates the corresponding data; and can eliminate invalid data while ensuring the integrity of the data, which is beneficial to improving the efficiency of data processing.

[0017] Preferably, the wireless sensor is set according to the layout of the computer room, including:

[0018] Obtain the floor plan and floor area of ​​the computer room; obtain the identification range of the wireless sensor; divide the floor area according to the identification range to obtain a number of collection areas i; where i=1, 2, ..., n, and n is a positive integer;

[0019] The wireless sensors are set in the corresponding collection areas, the collection data of the wireless sensors in several areas are collected, the average value of the collected data is calculated, and the average value is used as the real-time data.

[0020] It should be noted that the collection areas are divided according to the recognition range of the wireless sensor, and each collection area corresponds to a wireless sensor.

[0021] The present invention divides the occupied area according to the floor plan of the computer room and the recognition range of the wireless sensor to obtain a number of collection areas, sets the wireless sensor in the corresponding collection area, and calculates the average value of the collected data. The average value is used as real-time data, which can avoid the problem of inaccurate collected data due to wireless sensor failure, and is conducive to improving the accuracy of collected data.

[0022] Preferably, the start and stop control of the air conditioner according to the real-time operating status and analysis data includes:

[0023] Retrieve the real-time operating status and analysis data of the air conditioner;

[0024] When the air conditioner is in the stopped state, the real-time temperature in the analysis data is analyzed to determine whether the real-time temperature is greater than the start-up threshold. If yes, a start-up signal is generated; if no, the real-time temperature is continuously detected;

[0025] When the air conditioner is in the start-up state, the real-time temperature in the analysis data is analyzed to determine whether the real-time temperature is less than the stop threshold. If yes, a stop signal is generated; if not, the real-time temperature is continuously detected.

[0026] It should be noted that before analyzing the real-time temperature, the state of the air conditioner needs to be judged first, and the real-time temperature is analyzed differently according to the different states of the air conditioner.

[0027] The present invention controls the air conditioner according to the operating status of the air conditioner and the analysis data, and can ensure that the real-time temperature of the computer room is within the standard range, which is beneficial to ensuring the normal operation of the equipment in the computer room.

[0028] Preferably, the calculation of the control evaluation coefficient of the air conditioner includes:

[0029] Obtain the control data of the air conditioner, mark the cooling time and energy consumption data in the control data as LT and NS respectively; obtain the preset cooling time YT;

[0030] The control evaluation coefficient of the air conditioner is calculated by the formula KPX=α×(LT-YT)+β×ln(NS+1); wherein α and β are proportional coefficients greater than 0.

[0031] It should be noted that the above steps only evaluate the control data after the air conditioner is turned on. When the air conditioner changes from the on state to the off state, the control data of the air conditioner is not detected; the cooling time refers to the time for the temperature in the computer room to cool to the turning-on threshold; the preset cooling time is set according to the real-time temperature of the computer room.

[0032] The present invention analyzes the air-conditioning control data, and when the air-conditioning is turned on, comprehensively evaluates the cooling time and energy consumption of the air-conditioning, laying a foundation for subsequent judgment on whether the parameters of the air-conditioning need to be adjusted, which is conducive to adjusting the air-conditioning according to actual conditions.

[0033] Preferably, generating a control adjustment signal according to the control evaluation coefficient comprises:

[0034] Retrieving a control evaluation coefficient of the air conditioner; comparing the control evaluation coefficient with a coefficient threshold;

[0035] Determine whether the control evaluation coefficient is less than the coefficient threshold; if yes, detect the operating status of the air conditioner; if no, generate a control adjustment signal.

[0036] The present invention compares the evaluation coefficient with the coefficient threshold. When the evaluation coefficient is not less than the coefficient threshold, a control adjustment signal is generated to adjust the air conditioner, so that the temperature in the computer room can be reduced at the fastest speed, avoiding malfunction of the host equipment in the computer room due to excessive temperature.

[0037] Preferably, judging whether the air conditioner fails according to the real-time operating parameters includes:

[0038] Obtaining a normal range of air conditioner operating parameters; retrieving real-time operating parameters of the air conditioner; comparing the real-time operating parameters with the normal range of the operating parameters;

[0039] Determine whether the real-time operating parameters of the air conditioner are all within the normal range; if yes, determine that the air conditioner is not faulty; if no, determine that the air conditioner is faulty.

[0040] The present invention analyzes the real-time operating parameters of the air conditioner. When the real-time operating parameters exceed the normal range, it indicates that the air conditioner has a fault. The fault of the air conditioner can be discovered in time and handled in time, which is beneficial to ensuring the normal operation of the air conditioner.

[0041] Preferably, the analyzing the cause of the failure includes:

[0042] Retrieve the real-time operating parameters of the fault and obtain a fault matching table; match the real-time operating parameters with the fault matching table; and use the fault cause of the successfully matched operating parameters as the cause of the air conditioner fault;

[0043] Perform troubleshooting on the air conditioner to determine whether the cause of the fault is consistent with the troubleshooting result. If yes, repair the air conditioner according to the cause of the fault; if not, add the real-time operating parameters and the troubleshooting result to the fault matching table.

[0044] The present invention matches the real-time operating parameters of the fault with the fault matching table, and performs fault troubleshooting on the air conditioner. When the troubleshooting result is different from the matching result, the troubleshooting result is added to the fault matching table as a new fault cause. The fault can be troubleshooted in time, the fault matching table can be improved, and it is beneficial to handle the fault in time to ensure the normal operation of the air conditioner.

[0045] Preferably, the adjusting the operating parameters of the air conditioner according to the control adjustment signal of the air conditioner includes:

[0046] Retrieve the control adjustment signal of the air conditioner and extract the control data of the air conditioner;

[0047] Determine whether the cooling time in the control data is less than the preset cooling time; if yes, analyze the energy consumption parameters of the air conditioner; if no, adjust the cooling parameters of the air conditioner;

[0048] Determine whether the energy consumption data is less than the energy consumption threshold; if yes, continue to detect the operation of the air conditioner; if no, adjust the energy consumption parameters of the air conditioner.

[0049] The present invention adjusts the operating parameters of the air conditioner according to the control adjustment information, which can ensure that the temperature of the computer room is quickly reduced to within the standard range, avoid abnormalities of the host equipment in the computer room due to excessive temperature, and is conducive to reducing maintenance costs.

[0050] A second aspect of the present invention provides an air conditioner online monitoring and management method, comprising:

[0051] Step S1: Collecting real-time data of the computer room through wireless sensors; preprocessing the real-time data to obtain analysis data;

[0052] Step S2: obtaining the real-time operating status of the air conditioner, and controlling the start and stop of the air conditioner according to the real-time operating status and analysis data; detecting the real-time temperature of the computer room, and when the real-time temperature reaches the standard value, calculating the control evaluation coefficient of the air conditioner; and generating a control adjustment signal according to the control evaluation coefficient;

[0053] Step S3: obtaining the real-time operating parameters of the air conditioner, and judging whether the air conditioner is faulty according to the real-time operating parameters; if so, generating an early warning signal and analyzing the cause of the fault; if not, continuously detecting the real-time operating parameters of the air conditioner;

[0054] Step S4: adjusting the operating parameters of the air conditioner according to the control adjustment signal of the air conditioner; repairing the air conditioner according to the early warning signal and the cause of the fault; and storing the adjustment and repair results in the database.

[0055] Compared with the prior art, the present invention has the following beneficial effects:

[0056] 1. The present invention collects real-time data of a computer room through wireless sensors; analyzes the collected real-time data, first determines the integrity of the real-time data, and supplements the missing sub-data; analyzes the collection time in the real-time data, and when the collection time is the same, eliminates the corresponding data; can eliminate invalid data while ensuring data integrity, which is beneficial to improving data processing efficiency; divides the floor area according to the floor plan of the computer room and the recognition range of the wireless sensor to obtain a number of collection areas, sets the wireless sensor on the corresponding collection area, and calculates the average value of the collected data, and uses the average value as the real-time data, which can avoid the problem of inaccurate collected data due to wireless sensor failure, and is beneficial to improving the accuracy of the collected data.

[0057] 2. The present invention controls the air conditioner according to its operating status and analysis data, so as to ensure that the real-time temperature of the computer room is within the standard range, which is beneficial to ensuring the normal operation of the equipment in the computer room; the air conditioner control data is analyzed, and when the air conditioner is turned on, the cooling time and energy consumption of the air conditioner are comprehensively evaluated, which lays a foundation for subsequent judgment on whether the parameters of the air conditioner need to be adjusted, and is beneficial to adjusting the air conditioner according to actual conditions; the evaluation coefficient is compared with the coefficient threshold, and when the evaluation coefficient is not less than the coefficient threshold, a control adjustment signal is generated to adjust the air conditioner, which can reduce the temperature in the computer room at the fastest speed and avoid malfunction of the host equipment in the computer room due to excessive temperature.

[0058] 3. The present invention analyzes the real-time operating parameters of the air conditioner. When the real-time operating parameters exceed the normal range, it means that the air conditioner has a fault. The fault of the air conditioner can be discovered in time and the fault can be handled in time, which is conducive to ensuring the normal operation of the air conditioner; the real-time operating parameters of the fault are matched with the fault matching table, and the air conditioner is troubleshooted. When the troubleshooting result is different from the matching result, the troubleshooting result is added to the fault matching table as a new fault cause, and the fault can be troubleshooted in time. The fault matching table is improved, which is conducive to timely handling of the fault and ensuring the normal operation of the air conditioner; the operating parameters of the air conditioner are adjusted according to the control adjustment information, which can ensure that the temperature of the computer room is quickly reduced to the standard range, avoid abnormalities of the host equipment in the computer room due to excessively high temperature, and help reduce maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] 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, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0060] Figure 1 It is a schematic diagram of specific steps of the system of the present invention;

[0061] Figure 2 is a schematic diagram of the air conditioning control steps of the present invention;

[0062] Figure 3 A schematic diagram of the air conditioning parameter adjustment steps of the present invention;

[0063] Figure 4 A schematic diagram of the air conditioner fault diagnosis steps of the present invention;

[0064] Figure 5 It is a schematic diagram of the specific steps of the method of the present invention. DETAILED DESCRIPTION

[0065] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0066] See also Figure 1 , the first aspect of the present invention provides an air-conditioning online monitoring and management system, including: an analysis and control module, and a data acquisition module and a terminal management module connected thereto;

[0067] Data acquisition module: collects real-time data of the computer room through wireless sensors; pre-processes the real-time data to obtain analytical data; the real-time data includes the collection time and real-time temperature; the wireless sensors are set according to the layout of the computer room;

[0068] Analysis and control module: obtain the real-time operating status of the air conditioner, and start and stop the air conditioner according to the real-time operating status and analysis data; detect the real-time temperature of the computer room, and when the real-time temperature reaches the standard value, calculate the control evaluation coefficient of the air conditioner; generate a control adjustment signal according to the control evaluation coefficient; and,

[0069] Obtain the real-time operating parameters of the air conditioner and determine whether the air conditioner is faulty based on the real-time operating parameters; if yes, generate an early warning signal and analyze the cause of the fault; if no, continue to detect the real-time operating parameters of the air conditioner;

[0070] Terminal management module: adjusts the operating parameters of the air conditioner according to the control adjustment signal of the air conditioner; repairs the air conditioner according to the early warning signal and the cause of the fault; and stores the adjustment and repair results in the database.

[0071] It is worth noting that the wireless sensors are set up according to the layout of the computer room, including:

[0072] Obtain the floor plan and floor area of ​​the computer room; obtain the identification range of the wireless sensor; divide the floor area according to the identification range to obtain a number of collection areas i; where i=1, 2, ..., n, and n is a positive integer; set the wireless sensor in the corresponding collection area, collect the collection data of the wireless sensors in several areas, calculate the average value of the collection data, and use the average value as real-time data.

[0073] It should be noted that the collection areas are divided according to the recognition range of the wireless sensor, and each collection area corresponds to a wireless sensor.

[0074] See also Figure 2 , collect real-time data of the computer room through wireless sensors; determine whether the real-time data contains all sub-data; if yes, retain the corresponding real-time data; if no, supplement the real-time data; determine whether the collection time in the real-time data is repeated; if yes, remove the corresponding real-time data; if no, retain the corresponding real-time data; mark the retained real-time data and the supplemented real-time data as analysis data.

[0075] For example: suppose three groups of real-time data are collected at different times. After analyzing the three groups of real-time data, it is found that the second group of real-time data is missing the collection time, so the collection time is supplemented; the collection time of the first and third groups of real-time data is the same, and after analysis, the third group of real-time data is eliminated.

[0076] Retrieve the real-time operating status and analysis data of the air conditioner; when the air conditioner is in the stopped state, analyze the real-time temperature in the analysis data to determine whether the real-time temperature is greater than the start threshold, if so, generate a start signal; if not, continue to detect the real-time temperature; when the air conditioner is in the started state, analyze the real-time temperature in the analysis data to determine whether the real-time temperature is less than the stop threshold, if so, generate a stop signal; if not, continue to detect the real-time temperature.

[0077] For example: Assuming that the real-time operating status and analysis data of the air conditioner are collected at time T1 and time T2, the air conditioner is in the starting state at time T1, and the real-time temperature of 20 degrees Celsius is less than 26 degrees Celsius, a stop signal is generated to stop the operation of the air conditioner;

[0078] At time T2, the air conditioner is in a stopped state. If the real-time temperature of 36 degrees Celsius is greater than 35 degrees Celsius, a start signal is generated to start the air conditioner.

[0079] See also Figure 3 , detect the real-time temperature of the computer room. When the real-time temperature reaches the standard value, obtain the control data of the air conditioner, mark the cooling time and energy consumption data in the control data as LT and NS respectively; obtain the preset cooling time YT; calculate the control evaluation coefficient of the air conditioner by the formula KPX=α×(LT-YT)+β×ln(NS+1); where α and β are proportional coefficients greater than 0; compare the control evaluation coefficient with the coefficient threshold; determine whether the control evaluation coefficient is less than the coefficient threshold; if yes, detect the operating status of the air conditioner; if not, generate a control adjustment signal.

[0080] For example, suppose there are two sets of air conditioner control data, and the two sets of control data are tested separately, α=10, β=10; the specific steps are as follows:

[0081] The first set of data: cooling time LT=10, energy consumption data NS=300; preset cooling time YT=8; then the control evaluation coefficient KPX=77.07; greater than the coefficient threshold 50; then a control adjustment signal is generated;

[0082] The second set of data: cooling time LT=6, energy consumption data NS=270; preset cooling time YT=8; then the control evaluation coefficient KPX=36.02; if it is less than the coefficient threshold of 50, the operating status of the air conditioner will be continuously detected.

[0083] Retrieve the control adjustment signal of the air conditioner and extract the control data of the air conditioner; determine whether the cooling time in the control data is less than the preset cooling time; if yes, analyze the energy consumption parameters of the air conditioner; if no, adjust the cooling parameters of the air conditioner; determine whether the energy consumption data is less than the energy consumption threshold; if yes, continue to detect the operation of the air conditioner; if no, adjust the energy consumption parameters of the air conditioner.

[0084] For example: assuming that the above control adjustment signal is processed and the cooling time is greater than the preset cooling time, the cooling parameter is adjusted.

[0085] See also Figure 4 , obtain the normal range of the air conditioner operating parameters; retrieve the real-time operating parameters of the air conditioner; compare the real-time operating parameters with the normal range of the operating parameters; determine whether the real-time operating parameters of the air conditioner are all within the normal range; if yes, generate an early warning signal and analyze the cause of the fault; if not, continue to detect the real-time operating parameters of the air conditioner.

[0086] Retrieve the real-time operating parameters of the fault and obtain a fault matching table; match the real-time operating parameters with the fault matching table; use the fault cause of the successfully matched operating parameters as the cause of the air conditioner fault; troubleshoot the air conditioner to determine whether the fault cause is consistent with the troubleshooting result, and if so, repair the air conditioner according to the fault cause; if not, add the real-time operating parameters and the troubleshooting result to the fault matching table; repair the air conditioner according to the early warning signal and the fault cause; and store the adjustment and repair results in a database.

[0087] For example: assuming that there are three sets of real-time operating parameters collected, the three sets of real-time operating parameters are analyzed, and if the second and third sets of real-time operating parameters are not within the normal range, it is determined that the air conditioner has a fault at the corresponding time, and a fault matching table is obtained; the real-time operating parameters are matched with the fault matching table; the fault causes corresponding to the two sets of real-time operating parameters are obtained as fault cause G and fault cause F;

[0088] The cause of the air conditioner failure is investigated. If the fault cause G corresponding to the second set of real-time operating parameters is consistent with the investigation result, and the fault cause F corresponding to the third set of real-time operating parameters is inconsistent with the investigation result, the investigation result will be used as the fault cause of the third set of real-time operating parameters, and the corresponding real-time operating parameters and the investigation result will be added to the fault matching table; the air conditioner will be repaired according to the cause of the failure.

[0089] See also Figure 5 The second aspect of the present invention provides an air conditioner online monitoring and management method, comprising:

[0090] Step S1: Collecting real-time data of the computer room through wireless sensors; preprocessing the real-time data to obtain analysis data;

[0091] Step S2: obtaining the real-time operating status of the air conditioner, and controlling the start and stop of the air conditioner according to the real-time operating status and analysis data; detecting the real-time temperature of the computer room, and when the real-time temperature reaches the standard value, calculating the control evaluation coefficient of the air conditioner; and generating a control adjustment signal according to the control evaluation coefficient;

[0092] Step S3: obtaining the real-time operating parameters of the air conditioner, and judging whether the air conditioner is faulty according to the real-time operating parameters; if so, generating an early warning signal and analyzing the cause of the fault; if not, continuously detecting the real-time operating parameters of the air conditioner;

[0093] Step S4: adjusting the operating parameters of the air conditioner according to the control adjustment signal of the air conditioner; repairing the air conditioner according to the early warning signal and the cause of the fault; and storing the adjustment and repair results in the database.

[0094] Part of the data in the above formula is calculated by removing the dimension and taking its numerical value. The formula is a formula closest to the actual situation obtained by software simulation of a large amount of collected data; the preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained through simulation of a large amount of data.

[0095] The working principle of the present invention is as follows: the present invention collects real-time data of a computer room through wireless sensors; pre-processes the real-time data to obtain analysis data; wherein the real-time data includes the collection time and the real-time temperature; the wireless sensor is set according to the layout of the computer room; the real-time operating status of the air conditioner is obtained, and the start and stop of the air conditioner is controlled according to the real-time operating status and the analysis data; the real-time temperature of the computer room is detected, and when the real-time temperature reaches the standard value, the control evaluation coefficient of the air conditioner is calculated; a control adjustment signal is generated according to the control evaluation coefficient, and the operating parameters of the air conditioner are adjusted according to the control adjustment signal of the air conditioner.

[0096] The present invention obtains the real-time operating parameters of the air conditioner, and determines whether the air conditioner fails according to the real-time operating parameters; if so, generates an early warning signal and analyzes the cause of the failure; if not, continuously detects the real-time operating parameters of the air conditioner; repairs the air conditioner according to the early warning signal and the cause of the failure; and stores the adjustment and repair results in a database.

[0097] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. An air conditioning online monitoring and management system, characterized in that: include: Analysis and control module, and the data acquisition module and terminal management module connected thereto; Data acquisition module: collects real-time data of the computer room through wireless sensors; pre-processes the real-time data to obtain analytical data; the real-time data includes the collection time and real-time temperature; the wireless sensors are set according to the layout of the computer room; Analysis and control module: obtain the real-time operating status of the air conditioner, and start and stop the air conditioner according to the real-time operating status and analysis data; detect the real-time temperature of the computer room, and when the real-time temperature reaches the standard value, calculate the control evaluation coefficient of the air conditioner; generate a control adjustment signal according to the control evaluation coefficient; and, Obtain the real-time operating parameters of the air conditioner and determine whether the air conditioner is faulty based on the real-time operating parameters; if yes, generate an early warning signal and analyze the cause of the fault; if no, continue to detect the real-time operating parameters of the air conditioner; Terminal management module: adjust the operating parameters of the air conditioner according to the control adjustment signal of the air conditioner; repair the air conditioner according to the early warning signal and the cause of the fault; and store the adjustment and repair results in the database; The calculating of the control evaluation coefficient of the air conditioner comprises: Get the control data of the air conditioner, mark the cooling time and energy consumption data in the control data as LT and NS respectively; get the preset cooling time YT; the cooling time refers to the time it takes for the temperature in the computer room to cool down to the start threshold; The control evaluation coefficient of the air conditioner is calculated by the formula KPX=α×(LT-YT)+β×ln(NS+1); wherein α and β are proportional coefficients greater than 0; The generating of the control adjustment signal according to the control evaluation coefficient comprises: Retrieving a control evaluation coefficient of the air conditioner; comparing the control evaluation coefficient with a coefficient threshold; Determine whether the control evaluation coefficient is less than the coefficient threshold; if yes, detect the operating status of the air conditioner; if no, generate a control adjustment signal.

2. An air conditioning online monitoring and management system according to claim 1, characterized in that: The preprocessing of the real-time data to obtain the analysis data includes: Retrieve real-time data and determine whether the real-time data contains all sub-data; if yes, retain the corresponding real-time data; if no, supplement the real-time data; Determine whether the collection time in the real-time data is repeated; if yes, remove the corresponding real-time data; if no, retain the corresponding real-time data; Mark the retained real-time data and the supplemented real-time data as analytical data.

3. The air conditioning online monitoring and management system according to claim 1, characterized in that: The wireless sensor is set according to the layout of the computer room, including: Obtain the floor plan and floor area of ​​the computer room; obtain the identification range of the wireless sensor; divide the floor area according to the identification range to obtain a number of collection areas i; where i=1, 2, ..., n, and n is a positive integer; The wireless sensors are set in the corresponding collection areas, the collection data of the wireless sensors in several areas are collected, the average value of the collected data is calculated, and the average value is used as the real-time data.

4. The air conditioning online monitoring and management system according to claim 1, characterized in that: The start and stop control of the air conditioner according to the real-time operating status and analysis data includes: Retrieve the real-time operating status and analysis data of the air conditioner; When the air conditioner is in the stopped state, the real-time temperature in the analysis data is analyzed to determine whether the real-time temperature is greater than the start-up threshold. If yes, a start-up signal is generated; if no, the real-time temperature is continuously detected; When the air conditioner is in the start-up state, the real-time temperature in the analysis data is analyzed to determine whether the real-time temperature is less than the stop threshold. If yes, a stop signal is generated; if not, the real-time temperature is continuously detected.

5. The air conditioning online monitoring and management system according to claim 1, characterized in that: The determining whether the air conditioner fails according to the real-time operating parameters includes: Obtaining a normal range of air conditioner operating parameters; retrieving real-time operating parameters of the air conditioner; comparing the real-time operating parameters with the normal range of the operating parameters; Determine whether the real-time operating parameters of the air conditioner are all within the normal range; if yes, determine that the air conditioner is not faulty; if no, determine that the air conditioner is faulty.

6. The air conditioning online monitoring and management system according to claim 5, characterized in that: The analysis of the cause of the failure includes: Retrieve the real-time operating parameters of the fault and obtain a fault matching table; match the real-time operating parameters with the fault matching table; and use the fault cause of the successfully matched operating parameters as the cause of the air conditioner fault; Perform troubleshooting on the air conditioner to determine whether the cause of the fault is consistent with the troubleshooting result. If yes, repair the air conditioner according to the cause of the fault; if not, add the real-time operating parameters and the troubleshooting result to the fault matching table.

7. The air conditioning online monitoring and management system according to claim 1, characterized in that: The step of adjusting the operating parameters of the air conditioner according to the control adjustment signal of the air conditioner comprises: Retrieve the control adjustment signal of the air conditioner and extract the control data of the air conditioner; Determine whether the cooling time in the control data is less than the preset cooling time; if yes, analyze the energy consumption parameters of the air conditioner; if no, adjust the cooling parameters of the air conditioner; Determine whether the energy consumption data is less than the energy consumption threshold; if yes, continue to detect the operation of the air conditioner; if no, adjust the energy consumption parameters of the air conditioner.

8. An air conditioner online monitoring and management method, applied to an air conditioner online monitoring and management system according to any one of claims 1 to 7, characterized in that: include: Step S1: Collecting real-time data of the computer room through wireless sensors; Preprocess the real-time data to obtain analytical data; Step S2: obtaining the real-time operating status of the air conditioner, and controlling the start and stop of the air conditioner according to the real-time operating status and analysis data; detecting the real-time temperature of the computer room, and when the real-time temperature reaches the standard value, calculating the control evaluation coefficient of the air conditioner; and generating a control adjustment signal according to the control evaluation coefficient; Step S3: obtaining the real-time operating parameters of the air conditioner, and judging whether the air conditioner is faulty according to the real-time operating parameters; if so, generating an early warning signal and analyzing the cause of the fault; if not, continuously detecting the real-time operating parameters of the air conditioner; Step S4: adjusting the operating parameters of the air conditioner according to the control adjustment signal of the air conditioner; and performing maintenance processing on the air conditioner according to the early warning signal and the cause of the fault; And store the adjustment and maintenance results in the database.

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