An intelligent monitoring and analysis system for abnormal operation efficiency of central air conditioners

Abstract

The present invention relates to the technical field of air conditioning operation efficiency analysis, and relates to an intelligent monitoring and analysis system for abnormal operation efficiency of a central air conditioning. The present invention collects the current operation data of the central air conditioning in the target area, analyzes the current operation energy efficiency ratio of the central air conditioning, determines whether there is an abnormality in the current operation efficiency of the central air conditioning, and analyzes the environmental factors, equipment control factors and equipment use factors of the central air conditioning to identify the abnormal factors of the central air conditioning, and conducts an early warning, so that the identification result is more comprehensive and accurate, and the possibility of judgment deviation of abnormal operation efficiency of the air conditioning is effectively reduced, so that the actual situation can be grasped from a more macro and comprehensive perspective, so that the later maintenance and management work is targeted, and the subsequent more serious failures or energy waste are avoided, and the overall operation quality and efficiency of the central air conditioning system are improved.

Description

Technical Field

[0001] The invention relates to the technical field of air-conditioning operation efficiency analysis, and in particular to an intelligent monitoring and analysis system for abnormal operation efficiency of a central air-conditioning. Background Art

[0002] With the development of modern architecture and people's increasing requirements for indoor environmental comfort, central air conditioning has been widely used in various large public areas. However, various problems may occur in the operation of central air conditioning systems, resulting in abnormal operating efficiency, which not only affects the quality of the indoor environment, but also causes a large amount of energy waste.

[0003] In the traditional central air conditioning monitoring mode, it often relies on manual inspection and regular maintenance, which has a certain lag and is difficult to find and solve problems in real time. At the same time, manual monitoring may be difficult to accurately identify and analyze some complex and potential abnormal operating efficiency situations.

[0004] In order to solve these problems, intelligent monitoring and analysis systems came into being. It integrates advanced sensor technology, data acquisition technology, data analysis algorithms and intelligent control technology. For example, the existing Chinese patent with publication number CN112032924B discloses a method and system for detecting abnormal air-conditioning operating efficiency, the method comprising: obtaining air-conditioning startup message and indoor environment information, and obtaining the correlation between the startup parameter information and the environmental characteristics, and obtaining the matching degree between the startup parameters and the environmental characteristics according to the correlation; if a completely matching message is obtained according to the matching degree, the corresponding matching time information is obtained; the air-conditioning operating efficiency is calculated according to the matching time information, and if the air-conditioning operating efficiency is lower than the preset efficiency threshold, the air-conditioning operating abnormality information is triggered. The present application has the effect of being able to detect the operating efficiency of the air conditioner.

[0005] The above existing technologies have the following problems: 1. When analyzing abnormal operation of the air conditioner, only the air conditioner operating efficiency is compared with the preset efficiency threshold, without considering the performance degradation of the air conditioner operating efficiency as the service life increases, resulting in misjudgment or wrong judgment of the central air conditioner operating status, and thus unable to accurately reflect the actual operating status of the central air conditioner, which may lead to unnecessary maintenance or omission of real efficiency problems.

[0006] 2. When analyzing abnormal operating efficiency, the existing system only analyzes abnormal air-conditioning components based on air-conditioning operating parameters, without considering comprehensive monitoring and analysis of multiple factors affecting air-conditioning operating efficiency, resulting in incomplete and inaccurate analysis results, which may miss some potential problems or interrelated factors. This will lead to deviations in the judgment of abnormal air-conditioning operating efficiency, and it will be impossible to grasp the actual situation from a more macro and comprehensive perspective. Further, the subsequent maintenance and management work will lack pertinence, and the problem cannot be solved effectively and accurately, and may even cause more serious failures or energy waste in the future, thereby reducing the overall operating quality and benefits of the system. Summary of the invention

[0007] Based on this, it is necessary to provide an intelligent monitoring and analysis system for abnormal operation efficiency of a central air conditioner to solve the problems existing in the background technology.

[0008] The technical solution adopted by the present invention to solve its technical problem is: an intelligent monitoring and analysis system for abnormal operation efficiency of a central air conditioner, including an air conditioner operation data acquisition module, an air conditioner energy efficiency ratio analysis module, an air conditioner abnormal factor analysis module and an air conditioner abnormal factor judgment module.

[0009] The air conditioning operation data collection module is used to record the public area where the central air conditioner is installed as the target area, and collect the current operation data of the central air conditioner in the target area, wherein the current operation data includes the input power per unit time and the cooling capacity per unit time.

[0010] The air conditioning energy efficiency ratio analysis module is used to analyze the current operating energy efficiency ratio of the central air conditioner according to the current operating data of the central air conditioner in the target area, and determine whether there is any abnormality in the current operating efficiency of the central air conditioner.

[0011] The air conditioning abnormal factor analysis module is used to analyze the abnormal factors of the central air conditioner, wherein the air conditioning abnormal factor analysis module includes an environmental factor analysis unit, an equipment control factor analysis unit and an equipment use factor analysis unit.

[0012] The environmental factor analysis unit is used to collect the current environmental characteristics of the target area, analyze the environmental parameter impact indicators and personnel flow impact indicators of the target area, and then analyze the abnormal conditions of the environmental characteristics of the target area.

[0013] The equipment control factor analysis unit is used to obtain equipment control records of the central air conditioner during operation in the target area and analyze the impact of abnormal equipment control of the central air conditioner.

[0014] The equipment use factor analysis unit is used to extract the operating energy efficiency ratio of each historical use of the central air conditioner in the target area and analyze the trend of the operating energy efficiency ratio of the central air conditioner.

[0015] The air conditioning abnormal factor identification module is used to identify the abnormal factors of the central air conditioning according to the analysis results of the abnormal factors of the central air conditioning and issue an early warning.

[0016] Compared with the prior art, the beneficial effects of the present invention are: 1. The present invention obtains the service life and standard operating energy efficiency ratio of the central air-conditioner, analyzes the reference operating energy efficiency ratio of the central air-conditioner, thereby effectively avoiding the performance degradation of the air-conditioning operating efficiency, and further reducing the possibility of misjudgment or wrong judgment of the operating status of the central air-conditioner.

[0017] 2. The present invention collects the current operating data of the central air-conditioner in the target area, analyzes the current operating energy efficiency ratio of the central air-conditioner, and compares it with the reference operating energy efficiency ratio to determine whether there is any abnormality in the current operating efficiency of the central air-conditioner, thereby accurately reflecting the actual operating efficiency of the central air-conditioner, accurately grasping and timely intervening in the operating efficiency of the central air-conditioner, and promptly discovering abnormal operating efficiency so that corresponding measures can be taken later for adjustment and optimization, which is conducive to realizing intelligent energy management.

[0018] 3. The present invention analyzes the environmental factors, equipment control factors and equipment use factors of the central air conditioner, identifies the abnormal factors of the central air conditioner, and issues an early warning, thereby making the identification result more comprehensive and accurate, and effectively reducing the possibility of judgment bias on abnormal air conditioning operating efficiency. It can then grasp the actual situation from a more macro and comprehensive perspective, making the subsequent maintenance and management work more targeted, avoiding the occurrence of more serious subsequent failures or energy waste, and improving the overall operating quality and efficiency of the central air conditioning system. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0020] Figure 1 This is a system module connection diagram of the present invention.

[0021] Figure 2 This is a unit connection diagram of the air conditioning abnormal factor analysis module in the present invention.

[0022] Figure 3 This is a flowchart of the abnormal factor identification process of the central air conditioner of the present invention. DETAILED DESCRIPTION

[0023] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not 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.

[0024] See also Figure 1 and Figure 3 As shown, the present invention provides a central air-conditioning operation efficiency abnormality intelligent monitoring and analysis system, including an air-conditioning operation data acquisition module, an air-conditioning energy efficiency ratio analysis module, an air-conditioning abnormal factor analysis module and an air-conditioning abnormal factor identification module. The air-conditioning operation data acquisition module is connected to the air-conditioning energy efficiency ratio analysis module, the air-conditioning abnormal factor analysis module is connected to the air-conditioning energy efficiency ratio analysis module, and the air-conditioning abnormal factor identification module is connected to the air-conditioning abnormal factor analysis module.

[0025] The air conditioning operation data acquisition module is used to record the public area where the central air conditioner is installed as the target area, and collect the current operation data of the central air conditioner in the target area, wherein the current operation data includes the input power per unit time and the cooling capacity per unit time.

[0026] As a specific embodiment of the present invention, the current operation data collection method of the central air conditioner in the target area is as follows: the operation time of the central air conditioner in the target area is collected from the central air conditioner control background, and the heat distribution map of the central air conditioner at each time point during the operation time is collected through an infrared thermal sensor, and the heat value of each position in the heat distribution map of the central air conditioner at each time point during the operation time is identified, and the heat value of each position in the heat distribution map at each time point is compared with the heat value of the corresponding position in the heat distribution map of the previous time point to obtain the heat difference of each position in the heat distribution map at each time point, and the average heat difference of each time point is obtained by mean calculation, and the average value of the average heat difference of each time point is recorded as the heat loss per unit time of the central air conditioner during the operation time, and it is used as the cooling capacity per unit time of the central air conditioner in the target area.

[0027] The electric power consumed by the central air conditioner during its operation is collected from the independent electric meter box of the air conditioner, and the ratio of the electric power consumed by the central air conditioner during its operation in the target area is used as the input power per unit time of the central air conditioner in the target area.

[0028] In one embodiment, each time point in the running time is the first time point corresponding to each unit time in the running time. For example, if the running time is 4 hours and the time period corresponding to the running time is 8:00-12:00, then the time points are 8:00, 9:00, 10:00, 11:00 and 12:00 respectively.

[0029] The air conditioner energy efficiency ratio analysis module is used to analyze the current operation energy efficiency ratio of the central air conditioner according to the current operation data of the central air conditioner in the target area, and determine whether there is any abnormality in the current operation efficiency of the central air conditioner.

[0030] As a specific embodiment of the present invention, whether there is an abnormality in the current operating efficiency of the central air conditioner is judged as follows: extract the cooling capacity per unit time and the input power per unit time of the central air conditioner in the target area, perform ratio analysis and calculation on the two, and obtain the current operating energy efficiency ratio of the central air conditioner.

[0031] The service life and standard operating energy efficiency ratio of the central air conditioner are obtained from the cloud database, the reference operating energy efficiency ratio of the central air conditioner is analyzed, the reference operating energy efficiency ratio of the central air conditioner is compared with the current operating energy efficiency ratio, and the absolute value of the difference between the reference operating energy efficiency ratio of the central air conditioner and the current operating energy efficiency ratio is obtained, and the absolute value of the difference between the reference operating energy efficiency ratio of the central air conditioner and the current operating energy efficiency ratio is compared with the preset energy efficiency ratio error range. If the absolute value of the difference is within the preset energy efficiency ratio error range, the current operating efficiency of the central air conditioner is normal. If the absolute value of the difference is outside the preset energy efficiency ratio error range, the current operating efficiency of the central air conditioner is abnormal. In a specific embodiment, the preset energy efficiency ratio error range is usually no more than five percent of the standard operating energy efficiency ratio of the central air conditioner. Therefore, the preset energy efficiency ratio error range is , It is the standard operating energy efficiency ratio of central air conditioning.

[0032] It needs to be explained that the present invention collects the current operating data of the central air-conditioning in the target area, analyzes the current operating energy efficiency ratio of the central air-conditioning, and compares it with the reference operating energy efficiency ratio to determine whether there is any abnormality in the current operating efficiency of the central air-conditioning, thereby being able to accurately reflect the actual operating efficiency of the central air-conditioning, achieve accurate grasp of and timely intervention in the operating efficiency of the central air-conditioning, and promptly discover abnormal operating efficiency so that corresponding measures can be taken later for adjustment and optimization, which is conducive to the realization of intelligent energy management.

[0033] Based on the above embodiment, the current operating energy efficiency analysis formula of the central air conditioner is: , is the cooling capacity per unit time, Enter the power per unit time.

[0034] In a preferred embodiment, the reference operating energy efficiency ratio of the central air conditioner is , is the reference operating energy efficiency ratio, is the energy efficiency loss rate of the central air conditioner in the unit life. Is the service life. The operating energy efficiency ratio of the central air conditioner will gradually decrease with the increase of the service life. When the central air conditioner leaves the factory, its operating energy efficiency ratio is usually in the best state. However, with the passage of service life, the mechanical parts inside the central air conditioner will wear out, such as the decrease in compressor efficiency, the decrease in heat exchange efficiency due to dust clogging of the condenser and evaporator, all of which will cause the air conditioner's operating energy efficiency ratio to decrease. The present invention obtains the service life and standard operating energy efficiency ratio of the central air conditioner, analyzes the reference operating energy efficiency ratio of the central air conditioner, thereby effectively avoiding the phenomenon of performance degradation of the air conditioner's operating efficiency, and further reduces the possibility of misjudgment or wrong judgment of the central air conditioner's operating status.

[0035] The air conditioning abnormal factor analysis module is used to analyze the abnormal factors of the central air conditioner, wherein the air conditioning abnormal factor analysis module includes an environmental factor analysis unit, an equipment control factor analysis unit and an equipment use factor analysis unit, refer to Figure 2 shown.

[0036] The environmental factor analysis unit is used to collect the current environmental characteristics of the target area, analyze the environmental parameter impact indicators and personnel flow impact indicators of the target area, and then analyze the abnormal conditions of the environmental characteristics of the target area.

[0037] As a specific embodiment of the present invention, the target area's environmental characteristic abnormality index is constructed during the analysis of the target area's environmental characteristic abnormality, specifically as follows: extract the target area's current environmental parameter data and current personnel flow data from the target area's current environmental characteristics, clean the target area's current environmental parameter data to obtain cleaned environmental parameter data, and regard each environmental parameter as a dimension of a vector, each environmental parameter data is an element value of the vector's corresponding dimension, and then construct the target area's current environmental parameter vector. The environmental parameter data includes, but is not limited to, indoor temperature, outdoor temperature, indoor humidity, and indoor air quality.

[0038] The target area environmental characteristics and operating energy efficiency ratios of each historical operation of the central air conditioner within the historical set period are retrieved from the cloud database, and the target area environmental parameter data of each historical operation are extracted. The target area environmental parameter vector of each historical operation is constructed in the same way as the current environmental parameter vector of the target area. The cosine similarity analysis algorithm is used to obtain the similarity between the current environmental parameter vector of the target area and the target area environmental parameter vector of each historical operation. The historical operation times with a similarity greater than a preset similarity threshold are screened and recorded as the reference operation times. The operating energy efficiency ratios of the central air conditioner corresponding to each reference operation times are screened, and the difference is compared with the current operating energy efficiency ratio of the central air conditioner to analyze the environmental parameter impact indicators of the target area.

[0039] According to the current personnel flow data of the target area and the personnel flow data of the target area in each historical operation, the personnel flow impact index of the target area is obtained.

[0040] The environmental parameter impact index of the target area and the personnel flow impact index are weighted and calculated to obtain the environmental characteristic abnormality index of the target area. By considering the environmental characteristics, the present invention can more comprehensively understand the actual conditions that affect the operation of the central air conditioner, thereby more accurately identifying and analyzing the abnormal causes. This helps to reduce false alarms, optimize maintenance strategies, improve system efficiency, and reduce energy consumption.

[0041] It should be noted that changes in environmental parameters such as temperature, humidity and air quality will directly affect the load and energy consumption of the central air conditioner. Under different environmental conditions, the central air conditioner needs to be adjusted accordingly to maintain a suitable indoor environment. The flow of people is also crucial. The increase or decrease in the flow of people will change the indoor heat load. Areas with high population density may require the air conditioner to be adjusted and operated more frequently, which will affect its efficiency. Therefore, the weights of the environmental parameter impact index and the personnel flow impact index are the same. For example, the weights of the environmental parameter impact index and the personnel flow impact index are both 0.5.

[0042] It should be noted that the method for analyzing the environmental parameter impact index of the target area is: performing difference processing on the operating energy efficiency ratio of the central air conditioner corresponding to each reference operation number and the current operating energy efficiency ratio of the central air conditioner to obtain the operating energy efficiency ratio difference of each reference operation number, screening the maximum operating energy efficiency ratio difference and the minimum operating energy efficiency ratio difference, subtracting the maximum operating energy efficiency ratio difference and the minimum operating energy efficiency ratio difference from the sum of the operating energy efficiency ratio differences of each reference operation number, and taking the ratio of the average value of the results to the set allowable operating energy efficiency ratio error threshold as the environmental parameter impact index of the target area.

[0043] In a specific embodiment, the environmental parameter impact index analysis formula of the target area is: , is the environmental parameter impact index of the target area, is the difference in operating energy efficiency ratio of the i-th reference operation number, , is the reference running number, are the maximum operating energy efficiency ratio difference and the minimum operating energy efficiency ratio difference, respectively. To set the allowable operating energy efficiency ratio error threshold.

[0044] On the basis of the above embodiment, the personnel flow impact index of the target area is analyzed as follows: extract the personnel flow data and operation energy efficiency ratio of the target area of ​​each historical operation, wherein the personnel flow data includes pedestrian flow and personnel density, and establish a pedestrian flow-operation energy efficiency ratio coordinate system and a personnel density-operation energy efficiency ratio coordinate system with pedestrian flow and personnel density as the horizontal axis and the operation energy efficiency ratio as the vertical axis, respectively. Substitute the pedestrian flow and personnel density of the target area of ​​each historical operation into the coordinate system for plotting, and obtain the curve of operation energy efficiency ratio changing with pedestrian flow and the curve of operation energy efficiency ratio changing with personnel density.

[0045] Substitute the flow rate and density of personnel in the current personnel flow data of the target area into the corresponding curves respectively to obtain the operating energy efficiency ratio corresponding to the current flow rate of personnel in the target area and the operating energy efficiency ratio corresponding to the current personnel density.

[0046] The ratios of the current operating energy efficiency ratios corresponding to the current passenger flow and the current personnel density in the target area to the current operating energy efficiency ratio of the central air conditioner are calculated respectively, and the ratios of the current operating energy efficiency ratios corresponding to the current passenger flow and the current personnel density in the target area to the current operating energy efficiency ratio of the central air conditioner are obtained, and the average value is used as the personnel flow impact indicator of the target area.

[0047] The equipment control factor analysis unit is used to obtain the equipment control records of the central air conditioner during operation in the target area and analyze the abnormal impact of the equipment control of the central air conditioner. The present invention can more accurately locate the problem by carefully analyzing the abnormal conditions of the equipment control factors, and can provide a basis for taking corresponding corrective measures later, which is crucial to ensure the long-term stable and efficient operation of the central air conditioning system.

[0048] As a specific embodiment of the present invention, the analysis of the abnormal impact of the equipment control of the central air conditioner requires the analysis of the abnormal equipment control index of the central air conditioner, and the specific contents are as follows: extract the equipment control record of the central air conditioner in the target area from the central air conditioner control background, wherein the equipment control record includes the set temperature, the number of start and stop control, the air vent opening amount and the opening degree of each air vent, wherein the air vent opening amount is the number of openings of the central air conditioner vents, and the air vent opening degree is the wind speed opening percentage of the central air conditioner vents. For example: the wind speed opening percentage can be 20%, 40%, 60%, 80% and 100%. Among them, 100% is the rated opening degree of the air vent.

[0049] Analyze the impact of setting temperature based on the set temperature and the reasonable temperature difference between indoor and outdoor.

[0050] The total air volume of the central air conditioner in the target area is obtained from the central air conditioner control background, and the ratio of the air vent opening amount to the total air vent amount of the central air conditioner in the target area is used as the air vent opening amount influence.

[0051] The average opening of each air outlet is analyzed by mean value, and the ratio of the average opening of the air outlet to the rated opening of the central air-conditioning air outlet is taken as the influence of the air outlet opening.

[0052] Analyze abnormal indicators of central air conditioning equipment control , are constants, To set the temperature influence, is the influence of the tuyere opening, is the influence of the air outlet opening amount, is the number of start and stop control. In order to facilitate the calculation of the formula, in the specific embodiment, Can be , Can be -1, It can be -2. Since the greater the influence of the set temperature, the greater the abnormal index of equipment control. It is a positive value, indicating that the setting temperature influence has a positive influence on the equipment control abnormality index. The greater the influence of the air outlet opening amount and the air outlet opening degree, the smaller the equipment control abnormality index. and It is a negative value, indicating that the influence of the air outlet opening amount and the air outlet opening degree have a negative impact on the equipment control abnormality index.

[0053] On the basis of the above embodiment, the method for obtaining the set temperature influence is as follows: extract the outdoor temperature from the current environmental parameter data of the target area, subtract the set temperature from the outdoor temperature to obtain the temperature difference between the outdoor temperature and the set temperature, respectively obtain the difference and cumulative value of the temperature difference and the set reasonable indoor and outdoor temperature difference, and take the ratio of the difference and cumulative value of the temperature difference and the set reasonable indoor and outdoor temperature difference as the set temperature influence.

[0054] It should be noted that the setting temperature influence degree acquisition method is expressed by the formula: , is the temperature difference between the outdoor temperature and the set temperature, The set temperature of the central air conditioner has a significant impact on its energy efficiency ratio. A lower set temperature will increase power consumption and reduce the energy efficiency ratio. Therefore, if the indoor set temperature is too low, the indoor and outdoor temperature difference will be too large. The air conditioner needs more energy to maintain the temperature difference, which will increase power consumption. A reasonable temperature difference can significantly improve the energy efficiency ratio and achieve energy saving. In this embodiment, the reasonable temperature difference is set to 4°C.

[0055] The equipment use factor analysis unit is used to extract the operating energy efficiency ratio of each historical use of the central air conditioner in the target area and analyze the trend of the operating energy efficiency ratio of the central air conditioner. By monitoring the changes in the operating energy efficiency ratio of the central air conditioner, the present invention can more accurately identify whether the efficiency is reduced due to factors such as equipment aging or inadequate cleaning and maintenance, and take targeted measures to repair it. In this way, the efficient operation of the central air conditioner can be restored, and the long-term stability and safety of the central air conditioner can be ensured.

[0056] As a specific embodiment of the present invention, the equipment usage factor analysis unit includes the following contents: taking the current date as the boundary, extracting the operating energy efficiency ratio and usage date of each historical use of the central air conditioner in a preset time period in the target area, and constructing a coordinate axis with the usage date as the horizontal axis and the operating energy efficiency ratio as the vertical axis, substituting the operating energy efficiency ratio and usage date of each historical use of the central air conditioner in the preset time period in the target area into the coordinate axis and marking them, and at the same time substituting the current operating energy efficiency ratio and the current date of the central air conditioner into the coordinate axis and marking them, obtaining the recent operating energy efficiency ratio change curve of the central air conditioner, and using a data fitting algorithm to obtain the recent operating energy efficiency ratio relationship function of the central air conditioner.

[0057] Taking the working nature of the current date as a reference, the operating energy efficiency ratio and usage date of each historical use of the central air conditioner with the same working nature within the preset time period in the target area are extracted. Similarly, the operating energy efficiency ratio relationship function of the central air conditioner in the same period is obtained.

[0058] The changing trend of the central air-conditioning's operating energy efficiency ratio is evaluated based on the central air-conditioning's recent operating energy efficiency ratio relationship function and the operating energy efficiency ratio relationship function over the same period.

[0059] Based on the above embodiment, the method for evaluating the change trend of the operating energy efficiency ratio of the central air conditioner is: differentially calculating the recent operating energy efficiency ratio relationship function of the central air conditioner with the energy efficiency ratio relationship function of the same period, obtaining the change representation value of the recent operating energy efficiency ratio relationship function and the energy efficiency ratio relationship function of the same period, and selecting the maximum change representation value as the change trend representation value of the operating energy efficiency ratio of the central air conditioner.

[0060] It should be explained that the differential calculation formula of the recent operation energy efficiency ratio relationship function of the central air conditioner is: , is the change representation value of the recent operation energy efficiency ratio relationship function, It is the numerical value of the earliest date used within the preset time period. is the numerical value of the current date. is the recent operation energy efficiency ratio relationship function. Similarly, the change representation value of the central air conditioner's concurrent operation energy efficiency ratio relationship function is the same as the analysis method of the change representation value of the recent operation energy efficiency ratio relationship function.

[0061] In a specific embodiment, the preset time period can be one week, half a month or one month. For example, when the preset time period is one month, the number value of the current date is 30, and the number value of the earliest use date within the preset time period is 1. The preset time period can be one month, three months or half a year. The reason why the preset time period is shorter is to ensure that the environmental parameters are similar each time within the preset time period, so as to reduce the interference of environmental parameters on the energy efficiency ratio of the central air conditioner, so that the analysis result of the energy efficiency ratio of the central air conditioner is more reliable and not affected too much by the fluctuation of the external environment. The purpose of using the working nature of the current date as a reference is to filter out the dates with the same working nature within the preset time period, so as to ensure that the personnel flow data of the target area within the dates with the same working nature are similar, so as to reduce the interference of personnel flow data on the energy efficiency ratio of the central air conditioner, which is conducive to more accurate evaluation and analysis of the performance of the air conditioning system, so as to optimize and improve it in a targeted manner. The working nature of the current date is working day and rest day.

[0062] The air-conditioning abnormal factor identification module is used to identify the abnormal factors of the central air-conditioning according to the analysis results of the abnormal factors of the central air-conditioning and issue an early warning.

[0063] As a specific embodiment of the present invention, the abnormal factors of the central air conditioner are determined as follows: the environmental characteristic abnormality index of the target area is compared with the set environmental characteristic abnormality index threshold. If the environmental characteristic abnormality index of the target area is greater than the environmental characteristic abnormality index threshold, the abnormal factor of the central air conditioner is the regional environmental abnormality.

[0064] The device control abnormality index of the central air conditioner is compared with the set device control abnormality index threshold. If the device control abnormality index of the central air conditioner is greater than the set device control abnormality index threshold, the abnormal factor of the central air conditioner is device control abnormality.

[0065] The central air conditioner's operating energy efficiency ratio change trend representation value is compared with the reference operating energy efficiency ratio change trend representation value affected by equipment aging. If the central air conditioner's operating energy efficiency ratio change trend representation value is less than the reference operating energy efficiency ratio change trend representation value, the abnormal factor of the central air conditioner is the equipment aging factor. Otherwise, a central air conditioner maintenance warning reminder is issued to the central air conditioner control background.

[0066] It needs to be explained that the present invention analyzes the environmental factors, equipment control factors and equipment use factors of the central air-conditioning, identifies the abnormal factors of the central air-conditioning, and issues early warnings, thereby making the identification results more comprehensive and accurate, and effectively reducing the possibility of judgment bias in abnormal air-conditioning operating efficiency. It is then possible to grasp the actual situation from a more macro and comprehensive perspective, making the subsequent maintenance and management work targeted, avoiding the occurrence of subsequent more serious failures or energy waste, and improving the overall operating quality and efficiency of the central air-conditioning system.

[0067] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. An intelligent monitoring and analysis system for abnormal operation efficiency of central air conditioners, characterized in that: include: The air conditioner operation data collection module is used to record the public area where the central air conditioner is installed as the target area, and collect the current operation data of the central air conditioner in the target area, wherein the current operation data includes the input power per unit time and the cooling capacity per unit time; The air conditioning energy efficiency ratio analysis module is used to analyze the current operation energy efficiency ratio of the central air conditioner according to the current operation data of the central air conditioner in the target area, and determine whether there is any abnormality in the current operation efficiency of the central air conditioner; The air conditioning abnormal factor analysis module is used to analyze the abnormal factors of the central air conditioner, wherein the air conditioning abnormal factor analysis module includes an environmental factor analysis unit, an equipment control factor analysis unit and an equipment use factor analysis unit; The environmental factor analysis unit is used to collect the current environmental characteristics of the target area, obtain the personnel flow impact index by constructing the curve of the operation energy efficiency ratio changing with the flow of people and the curve of the operation energy efficiency ratio changing with the density of people, analyze the environmental parameter impact index and the personnel flow impact index of the target area, and then analyze the abnormal situation of the environmental characteristics of the target area; The equipment control factor analysis unit is used to obtain the equipment control records of the central air conditioner during operation in the target area and analyze the abnormal impact of the equipment control of the central air conditioner; The equipment use factor analysis unit is used to extract the operating energy efficiency ratio of each historical use of the central air conditioner in the target area and analyze the trend of the operating energy efficiency ratio of the central air conditioner; The air conditioning abnormal factor identification module is used to identify the abnormal factors of the central air conditioning according to the analysis results of the abnormal factors of the central air conditioning and issue an early warning; In the process of analyzing the abnormal situation of the environmental characteristics of the target area, the environmental characteristics abnormality index of the target area is constructed as follows: Extract the current environmental parameter data and current personnel flow data of the target area from the current environmental characteristics of the target area, clean the current environmental parameter data of the target area to obtain the cleaned environmental parameter data, and regard each environmental parameter as a dimension of a vector, and each environmental parameter data is an element value of the corresponding dimension of the vector, thereby constructing the current environmental parameter vector of the target area; Retrieve the target area environmental characteristics and operation energy efficiency ratio of each historical operation of the central air conditioner within the historical set period, extract the target area environmental parameter data of each historical operation, and construct the target area environmental parameter vector of each historical operation in the same way according to the current environmental parameter vector construction method of the target area. Use the cosine similarity analysis algorithm to obtain the similarity between the current environmental parameter vector of the target area and the target area environmental parameter vector of each historical operation, select the historical operation times with a similarity greater than a preset similarity threshold, record them as reference operation times, select the operation energy efficiency ratio of the central air conditioner corresponding to each reference operation times, compare the difference with the current operation energy efficiency ratio of the central air conditioner, and analyze the environmental parameter impact indicators of the target area; According to the current personnel flow data of the target area and the personnel flow data of the target area in each historical operation, the personnel flow impact index of the target area is obtained; The environmental parameter impact index and the personnel flow impact index of the target area are weighted and calculated to obtain the environmental characteristic abnormality index of the target area.

2. According to claim 1, a central air-conditioning operation efficiency abnormality intelligent monitoring and analysis system is characterized by: The current operation data collection method of the central air conditioner in the target area is: Collect the operation time of the central air conditioner in the target area, and collect the heat distribution diagram of each time point during the operation time of the central air conditioner, extract the heat loss per unit time during the operation time of the central air conditioner, and use it as the cooling capacity per unit time of the central air conditioner in the target area; The electric power consumed by the central air conditioner during its operation is collected, and the ratio of the electric power consumed by the central air conditioner during its operation in the target area is used as the input power per unit time of the central air conditioner in the target area.

3. According to claim 1, the intelligent monitoring and analysis system for abnormal central air-conditioning operation efficiency is characterized by: Whether the current operating efficiency of the central air conditioner is abnormal is determined as follows: Extract the cooling capacity per unit time and the input power per unit time of the central air conditioner in the target area, perform ratio analysis and calculation on the two, and obtain the current operating energy efficiency ratio of the central air conditioner; Obtain the service life and standard operating energy efficiency ratio of the central air conditioner, analyze the reference operating energy efficiency ratio of the central air conditioner, compare the reference operating energy efficiency ratio of the central air conditioner with the current operating energy efficiency ratio, and compare the absolute value of the difference with the preset energy efficiency ratio error range to determine whether there is any abnormality in the current operating efficiency of the central air conditioner.

4. According to claim 1, a central air-conditioning operation efficiency abnormality intelligent monitoring and analysis system is characterized by: The personnel flow impact indicators of the target area are analyzed as follows: Extract the personnel flow data and operation energy efficiency ratio of the target area of ​​each historical operation, where the personnel flow data includes personnel flow and personnel density. With the personnel flow and personnel density as the horizontal axis and the operation energy efficiency ratio as the vertical axis, establish the personnel flow-operation energy efficiency ratio coordinate system and the personnel density-operation energy efficiency ratio coordinate system. Substitute the personnel flow and personnel density of the target area of ​​each historical operation into the coordinate system for plotting, and obtain the curve of operation energy efficiency ratio changing with personnel flow and the curve of operation energy efficiency ratio changing with personnel density. Substitute the flow rate and density of people in the current flow data of people in the target area into the corresponding curves to obtain the operating energy efficiency ratio corresponding to the current flow rate and the operating energy efficiency ratio corresponding to the current density of people in the target area; The ratios of the operating energy efficiency ratio corresponding to the current flow of people in the target area and the operating energy efficiency ratio corresponding to the current population density to the current operating energy efficiency ratio of the central air conditioner are obtained, and their average values ​​are used as the personnel flow impact index of the target area.

5. According to claim 1, the intelligent monitoring and analysis system for abnormal operation efficiency of central air conditioner is characterized by: When analyzing the impact of abnormal equipment control of central air conditioners, it is necessary to analyze the abnormal equipment control indicators of central air conditioners. The specific contents are as follows: Extract the equipment control records of the central air conditioner during operation in the target area, where the equipment control records include the set temperature, the number of start and stop controls, the air vent opening amount and the opening degree of each air vent, and analyze the influence of the set temperature based on the set temperature and the reasonable temperature difference between indoor and outdoor. Obtain the total air volume of the central air conditioner in the target area, and use the ratio of the air volume opening amount to the total air volume of the central air conditioner in the target area as the air volume opening amount influence; The average opening of each air outlet is analyzed by the mean value, and the ratio of the average opening of the air outlet to the rated opening of the central air conditioning air outlet is used as the influence of the air outlet opening; Analyze abnormal indicators of central air conditioning equipment control , are constants, To set the temperature influence, is the influence of the tuyere opening, is the influence of the air outlet opening amount, The number of start and stop control.

6. The intelligent monitoring and analysis system for abnormal operation efficiency of central air conditioners according to claim 5 is characterized in that: The method for obtaining the set temperature influence is as follows: extracting the outdoor temperature from the current environmental parameter data of the target area, subtracting the set temperature from the outdoor temperature to obtain the temperature difference between the outdoor temperature and the set temperature, respectively obtaining the difference and cumulative value of the temperature difference and the set reasonable indoor and outdoor temperature difference, and taking the ratio of the difference and cumulative value of the temperature difference and the set reasonable indoor and outdoor temperature difference as the set temperature influence.

7. The intelligent monitoring and analysis system for abnormal central air-conditioning operating efficiency according to claim 5 is characterized by: The device usage factor analysis unit includes the following contents: Taking the current date as the boundary, extract the operating energy efficiency ratio and use date of each historical use of the central air conditioner in the preset time period in the target area, and construct a coordinate axis with the use date as the horizontal axis and the operating energy efficiency ratio as the vertical axis. Substitute the operating energy efficiency ratio and use date of each historical use of the central air conditioner in the preset time period in the target area into the coordinate axis and mark them. At the same time, substitute the current operating energy efficiency ratio and the current date of the central air conditioner into the coordinate axis and mark them, and obtain the recent operating energy efficiency ratio change curve of the central air conditioner. Use the data fitting algorithm to obtain the recent operating energy efficiency ratio relationship function of the central air conditioner. Taking the working nature of the current date as a reference, extract the operating energy efficiency ratio and use date of each historical use of the central air conditioner with the same working nature within the preset time period in the target area, and similarly obtain the relationship function of the central air conditioner's operating energy efficiency ratio during the same period; The changing trend of the central air-conditioning's operating energy efficiency ratio is evaluated based on the central air-conditioning's recent operating energy efficiency ratio relationship function and the operating energy efficiency ratio relationship function over the same period.

8. The intelligent monitoring and analysis system for abnormal central air-conditioning operating efficiency according to claim 7 is characterized in that: The method for evaluating the change trend of the operating energy efficiency ratio of the central air conditioner is: differentially calculating the recent operating energy efficiency ratio relationship function of the central air conditioner with the energy efficiency ratio relationship function of the same period, obtaining the change representation values ​​of the recent operating energy efficiency ratio relationship function and the energy efficiency ratio relationship function of the same period, and selecting the maximum change representation value as the change trend representation value of the operating energy efficiency ratio of the central air conditioner.

9. The central air-conditioning operation efficiency abnormality intelligent monitoring and analysis system according to claim 8 is characterized by: The abnormal factor of the central air conditioner is specifically determined as follows: comparing the environmental characteristic abnormality index of the target area with the set environmental characteristic abnormality index threshold, if the environmental characteristic abnormality index of the target area is greater than the environmental characteristic abnormality index threshold, the abnormal factor of the central air conditioner is regional environmental abnormality; The device control abnormality index of the central air conditioner is compared with the set device control abnormality index threshold. If the device control abnormality index of the central air conditioner is greater than the set device control abnormality index threshold, the abnormal factor of the central air conditioner is device control abnormality; The operating energy efficiency ratio change trend representation value of the central air conditioner is compared with the reference operating energy efficiency ratio change trend representation value of the central air conditioner affected by equipment aging. If the operating energy efficiency ratio change trend representation value of the central air conditioner is less than the reference operating energy efficiency ratio change trend representation value, the abnormal factor of the central air conditioner is the equipment aging factor.

Images