A central air conditioning intelligent energy consumption monitoring management system and method

Abstract

The present application discloses a central air-conditioning intelligent energy consumption monitoring management system and method, the method comprises detecting the external environment of the building where the central air-conditioning to be tested is located to obtain the external environment detection result, analyzing the influence of the external environment on the energy consumption of the central air-conditioning based on the external environment detection result to obtain the external environment influence coefficient; detecting the building type, building scale and building structure of the building where the central air-conditioning to be tested is located to obtain the building detection result, analyzing the influence of the building where the central air-conditioning to be tested is located on the energy consumption of the central air-conditioning to be tested based on the building detection result to obtain the building influence coefficient; detecting the personnel situation in the building where the central air-conditioning to be tested is located to obtain the personnel information, analyzing the influence of the personnel in the building where the central air-conditioning to be tested is located on the energy consumption of the central air-conditioning to be tested based on the personnel information to obtain the personnel influence coefficient; and comprehensively analyzing the external environment influence coefficient, the building influence coefficient and the personnel influence coefficient to obtain the comprehensive characteristic influence coefficient. The present application has the effect of improving the accuracy of central air-conditioning energy consumption monitoring.

Description

Technical Field

[0001] The present application relates to the technical field of energy consumption monitoring and management, and in particular to an intelligent energy consumption monitoring and management system and method for central air conditioners. Background Art

[0002] At present, central air conditioning refers to a centralized cooling or heating air conditioning system. The central air conditioning system installs cooling or heating equipment in one area and delivers cold air or hot air to each room through pipes or air ducts. Central air conditioning is usually used in large buildings or multi-room places, such as commercial buildings, office buildings, hotels, hospitals, etc. Therefore, it is very important to monitor and manage the energy consumption of central air conditioning.

[0003] The existing central air-conditioning intelligent energy consumption monitoring and management system uses measuring instruments such as electronic meters and voltmeters to directly insert them between the power socket and the electrical plug of the central air-conditioning to measure the real-time power consumption, and then analyzes whether the central air-conditioning energy consumption is abnormal based on the real-time power consumption. However, the existing central air-conditioning intelligent energy consumption monitoring and management system uses the method of directly inserting measuring instruments between the power socket and the electrical plug of the central air-conditioning to measure the real-time power consumption, which has relatively low accuracy, resulting in low accuracy of the central air-conditioning intelligent energy consumption monitoring and management, and there is room for improvement. Summary of the invention

[0004] In order to improve the accuracy of central air-conditioning energy consumption monitoring, the present application provides a central air-conditioning intelligent energy consumption monitoring management system and method.

[0005] In the first aspect, the present application provides a central air-conditioning intelligent energy consumption monitoring and management method, which adopts the following technical solutions:

[0006] A central air conditioner intelligent energy consumption monitoring and management method comprises the following steps:

[0007] Obtain historical usage data of the central air conditioner to be tested, determine the benchmark central air conditioner based on the usage scenario of the central air conditioner to be tested, obtain historical usage data of the benchmark central air conditioner, and analyze historical energy consumption patterns by combining the historical usage data of the central air conditioner to be tested and the historical usage data of the benchmark central air conditioner;

[0008] Detect the external environment of the building where the central air conditioner to be tested is located to obtain the external environment detection results. Based on the external environment detection results, analyze the impact of the external environment on the energy consumption of the central air conditioner to obtain the external environment impact coefficient ;

[0009] The building structure of the building where the central air conditioner to be tested is located is detected to obtain the building structure information of the central air conditioner to be tested. Based on the building structure information of the central air conditioner to be tested, the use information of the central air conditioner to be tested, and the use area information of the central air conditioner to be tested, the influence of the building where the central air conditioner to be tested is analyzed on the energy consumption of the central air conditioner to obtain the building influence coefficient ;

[0010] Detect the personnel situation in the building where the central air conditioner to be tested is located to obtain personnel information, and analyze the impact of the personnel in the building where the central air conditioner to be tested on the energy consumption of the central air conditioner to be tested based on the personnel information to obtain the personnel impact coefficient ;

[0011] Comprehensive analysis of external environmental impact coefficients , Building influence coefficient And the personnel influence coefficient Get the comprehensive characteristic influence coefficient ;

[0012] Obtain the energy efficiency ratio information of the central air conditioner to be tested, based on the energy efficiency ratio information of the central air conditioner to be tested and the comprehensive characteristic influence coefficient Analyze the actual energy consumption data of the central air conditioner to be tested, and analyze whether there is any abnormality in the energy consumption of the central air conditioner to be tested based on the actual energy consumption data and the historical energy consumption usage rules. If abnormal, output the abnormal energy consumption result, analyze the abnormal degree of energy consumption based on the abnormal energy consumption result, and locate the abnormal central air conditioner;

[0013] Based on the wireless communication module, the energy consumption abnormality results, the degree of energy consumption abnormality and the location of the central air conditioner with abnormal energy consumption are sent to the user terminal.

[0014] By adopting the above technical solution, the benchmark central air conditioner is determined through the usage scenario of the central air conditioner to be tested, the historical energy consumption pattern is analyzed through the historical usage data of the central air conditioner to be tested and the historical usage data of the benchmark central air conditioner, and the energy consumption of the central air conditioner to be tested is analyzed according to the external environment of the building where the central air conditioner to be tested is located to obtain the external environment impact coefficient Analyze the influence of the building structure of the building where the central air conditioner is located, the purpose of the central air conditioner, and the area of ​​use of the central air conditioner on the energy consumption of the central air conditioner to obtain the building influence coefficient , analyze the impact of the personnel situation in the building where the central air conditioner to be tested is located on the energy consumption of the central air conditioner to be tested to obtain the personnel impact coefficient , comprehensive external environmental impact coefficient , Building influence coefficient And the personnel influence coefficient Get the comprehensive characteristic influence coefficient , improving the comprehensive feature influence coefficient The accuracy is based on the energy efficiency ratio information and comprehensive characteristic influence coefficient of the central air conditioner to be tested. , analyze the historical energy consumption usage patterns to see if there is any abnormality in the energy consumption of the central air-conditioning to be tested. If there is any abnormality, the abnormal energy consumption result will be output, which improves the accuracy of detecting abnormal energy consumption of the central air-conditioning to be tested, and thus improves the accuracy of energy consumption monitoring of the central air-conditioning to be tested.

[0015] Preferably, historical usage data of the central air conditioner to be tested is obtained and cached;

[0016] Detect the area where the central air conditioner to be tested is located to obtain the area information of the central air conditioner to be tested;

[0017] Detect the usage area of ​​the central air conditioner to be tested to obtain usage area information of the central air conditioner to be tested;

[0018] Detect the purpose of the central air conditioner to be tested and obtain the purpose information of the central air conditioner to be tested;

[0019] The central air conditioners having the regional information and the usage information of the central air conditioners to be tested are screened to obtain a first target screening pool;

[0020] Based on the usage area information of the central air conditioner to be tested, the central air conditioners whose usage area difference with the central air conditioner to be tested does not exceed a preset usage area difference threshold are analyzed and screened to obtain a second target screening pool;

[0021] Based on the logic and gate analysis, the central air conditioners that meet both the first target screening pool and the second target screening pool are screened to obtain the benchmark central air conditioners;

[0022] Obtain the historical usage data of the benchmark central air conditioner and cache the historical usage data of the benchmark central air conditioner;

[0023] The historical usage data of the central air conditioner to be tested and the historical usage data of the benchmark central air conditioner are analyzed to obtain the historical energy consumption patterns.

[0024] By adopting the above technical scheme, based on the region where the central air-conditioner to be tested is located, the usage area of ​​the central air-conditioner to be tested and the purpose of the central air-conditioner to be tested, the benchmark central air-conditioners are screened and analyzed, and the historical practical data of the benchmark central air-conditioners and the historical usage data of the central air-conditioner to be tested are obtained and analyzed. The historical energy consumption usage patterns of the central air-conditioners are analyzed, which provides data support for subsequent central air-conditioner energy consumption monitoring, thereby improving the accuracy of energy consumption monitoring of the central air-conditioner to be tested.

[0025] Preferably, the external temperature of the building where the central air conditioner to be tested is located is detected to obtain external temperature information, and the external humidity of the building where the central air conditioner to be tested is detected to obtain external humidity information, wherein the external temperature information and the external humidity information are combined to form an external environment detection result;

[0026] Obtain the user's target temperature in the building where the central air conditioner to be tested is located, and cache the target temperature data;

[0027] Based on the external temperature information and the user's target temperature, the difference between the external temperature of the building where the central air conditioner to be tested is located and the user's target temperature is calculated to obtain the ambient temperature difference;

[0028] Based on the difference in ambient temperature, the influence of the external temperature of the building where the central air conditioner to be tested is analyzed to obtain the external temperature influence coefficient. ; Among them, the external temperature influence coefficient Positively correlated with the ambient temperature difference;

[0029] Based on the external humidity information, the influence of the external humidity of the building where the central air conditioner to be tested is analyzed to obtain the external humidity influence coefficient of the energy consumption of the central air conditioner to be tested. ;

[0030] Comprehensive external temperature influence coefficient and external humidity influence coefficient, based on environmental correlation function Calculate the external environmental impact coefficient ,in, , are scaling factors and are all greater than zero.

[0031] By adopting the above technical solution, the external temperature information and the external humidity information are obtained by respectively detecting the external temperature and the external humidity of the building where the central air conditioner to be tested is located, the ambient temperature difference is obtained by calculating the difference between the external temperature and the user's target temperature, and the external temperature influence coefficient is analyzed based on the ambient temperature difference. , analyze the external humidity influence coefficient based on external humidity information , comprehensive external temperature influence coefficient And the external humidity influence coefficient Get the external environment impact coefficient , increasing the external environmental impact coefficient The accuracy of the energy consumption monitoring of the central air conditioner to be tested is improved.

[0032] Preferably, the building structure of the building where the central air conditioner to be tested is located is detected to obtain building structure information, and the building materials of the building where the central air conditioner to be tested is detected to obtain building material information, and the building structure information and the building material information are combined to form the building construction information of the central air conditioner to be tested;

[0033] Based on the building structure information, the ventilation performance of the building where the central air conditioner is located is analyzed to output the ventilation performance results. Based on the ventilation performance results of the building where the central air conditioner is located, the influence of the structure of the building where the central air conditioner is located on the energy consumption of the central air conditioner to be tested is analyzed to obtain the building structure influence coefficient. ;

[0034] Based on the building material information, the thermal insulation performance of the building materials of the building where the central air conditioner to be tested is analyzed to output the thermal insulation performance results. Based on the thermal insulation performance results, the influence of the building materials of the building where the central air conditioner to be tested on the energy consumption of the central air conditioner to be tested is analyzed to obtain the building material influence coefficient ;

[0035] Comprehensive building structure influence coefficient And the building material influence coefficient , based on constructing the correlation function Calculate and obtain the building structure influence coefficient ,in, , are proportional factors and are all greater than zero;

[0036] Based on the usage information of the central air conditioner to be tested, the influence of the usage of the central air conditioner to be tested on the energy consumption of the central air conditioner to be tested is analyzed to obtain the influence coefficient of building usage ; The uses of the central air conditioners to be tested include residential central air conditioners, commercial central air conditioners and industrial central air conditioners;

[0037] Based on the usage area information of the central air conditioner to be tested, the influence of the usage area of ​​the central air conditioner to be tested on the energy consumption of the central air conditioner to be tested is analyzed to obtain the building area influence coefficient ; Among them, the building area influence coefficient It is positively correlated with the usage area of ​​the central air conditioner to be tested;

[0038] Comprehensive building structure influence coefficient , Building use impact coefficient And the building area influence coefficient , based on the building association function Calculate and get the building influence coefficient ,in, , , are scaling factors and are all greater than zero.

[0039] By adopting the above technical solution, the ventilation performance of the building where the central air conditioner to be tested is analyzed based on the building structure of the building where the central air conditioner to be tested is located, and then the building structure influence coefficient is obtained based on the influence of the ventilation performance analysis on the energy consumption of the central air conditioner to be tested. , analyze the thermal insulation performance of the building where the central air conditioner is located by the building materials of the building where the central air conditioner is located, and then obtain the building material influence coefficient based on the thermal insulation performance analysis of the impact on the energy consumption of the central air conditioner to be tested , comprehensive building structure influence coefficient And the building material influence coefficient Get the building structure influence coefficient , increasing the building structure influence coefficient The accuracy of the building use is analyzed based on the central air conditioning use information to be tested to obtain the building use influence coefficient , based on the central air conditioning area information to be tested, the building area influence coefficient is obtained by analysis , comprehensive building structure influence coefficient , Building use impact coefficient And the building area influence coefficient Get the building influence coefficient , increasing the building impact coefficient The accuracy of the energy consumption monitoring of the central air conditioner to be tested is improved.

[0040] Preferably, the number of personnel in the building where the central air conditioner to be tested is located is detected to obtain the number of personnel information, the intensity of personnel activities in the building where the central air conditioner to be tested is detected to obtain the personnel activity intensity information, and the use of personnel equipment in the building where the central air conditioner to be tested is detected to obtain the personnel equipment use information, wherein the number of personnel information, the personnel activity intensity information and the personnel equipment use information are combined to form the personnel information;

[0041] Based on the number of people in the building where the central air conditioner to be tested is located and the use area information of the central air conditioner to be tested, the population density is calculated to obtain the population density information;

[0042] Based on the population density information, the impact of the number of people in the building where the central air conditioner to be tested is analyzed to determine the impact of the number of people in the building where the central air conditioner to be tested is located on the energy consumption of the central air conditioner to be tested. The population density impact coefficient is obtained. ;

[0043] Based on the activity intensity information of the personnel in the building where the central air conditioner to be tested is located, the heat generated by the activities of the personnel in the building where the central air conditioner to be tested is analyzed to obtain the personnel activity heat data;

[0044] Based on the heat data of personnel activities, the influence of personnel activity intensity in the building where the central air conditioner to be tested is analyzed to determine the influence coefficient of personnel activity intensity on the energy consumption of the central air conditioner to be tested. ; Among them, the influence coefficient of personnel activity intensity It is positively correlated with the heat data of human activities;

[0045] Based on the personnel and equipment usage information, the heat generated by all the equipment used by each person in the building where the central air conditioner to be tested is located is analyzed to obtain the equipment heat data;

[0046] Based on the equipment heat data, the influence of the heat generated by the equipment used by people in the building where the central air conditioner to be tested is analyzed to obtain the influence coefficient of people and equipment ; Among them, the personnel and equipment influence coefficient It is positively correlated with the heat data of human activities;

[0047] Comprehensive population density impact coefficient , influence coefficient of personnel activity intensity And the influence coefficient of personnel and equipment , based on the personnel association function Calculate and get the personnel influence coefficient ,in, , , are scaling factors and are all greater than zero.

[0048] By adopting the above technical solution, the population density information is obtained by analyzing the number of people in the building where the central air conditioner to be tested is located and the information of the use area of ​​the central air conditioner to be tested, thereby obtaining the population density influence coefficient , analyze the personnel activity intensity information in the building where the central air conditioner to be tested is located, analyze the heat generated by personnel activities to obtain personnel activity heat data, analyze the impact of personnel activity heat data on the energy consumption of the central air conditioner to be tested, and obtain the personnel activity intensity influence coefficient Based on the personnel and equipment usage information, the heat generated by all the equipment used by each person in the building where the central air conditioner to be tested is analyzed to obtain the equipment heat data. Based on the equipment heat data, the impact on the energy consumption of the central air conditioner to be tested is analyzed to obtain the personnel and equipment impact coefficient , comprehensive personnel density influence coefficient , influence coefficient of personnel activity intensity And the influence coefficient of personnel and equipment Calculate the personnel influence coefficient , improving the personnel influence coefficient The accuracy of the energy consumption monitoring of the central air conditioner to be tested is improved.

[0049] Preferably, the external environment influence coefficient, the building influence coefficient and the personnel influence coefficient are integrated, based on the comprehensive correlation function Calculate and obtain the comprehensive characteristic influence coefficient , where m1, m2, and m3 are proportional factors and are all greater than zero.

[0050] By adopting the above technical solutions, based on the comprehensive external environmental impact coefficient , Building influence coefficient And the personnel influence coefficient Get the comprehensive characteristic influence coefficient , improving the comprehensive feature influence coefficient The accuracy of the energy consumption monitoring of the central air conditioner to be tested is improved.

[0051] Preferably, energy efficiency ratio information of the central air conditioner to be tested is obtained, and theoretical energy consumption data of the central air conditioner to be tested is calculated based on the energy efficiency ratio information of the central air conditioner to be tested;

[0052] Based on the comprehensive characteristic influence coefficient of the central air conditioner to be tested , analyze the actual deviation value of energy consumption in the use of the central air conditioner to be tested, and record it as the actual energy consumption deviation value;

[0053] Calculate the actual energy consumption data of the central air conditioner to be tested based on the theoretical energy consumption data of the central air conditioner to be tested and the actual energy consumption deviation value of the central air conditioner to be tested;

[0054] Compare the actual energy consumption data of the central air conditioner to be tested with the energy consumption data of the corresponding time in the historical energy consumption usage pattern to determine whether the actual energy consumption data of the central air conditioner to be tested is abnormal; wherein the historical energy consumption usage pattern includes energy consumption data of each time period;

[0055] If the actual energy consumption data of the central air conditioner to be tested is less than or equal to the energy consumption data of the corresponding time in the historical energy consumption usage pattern, the actual energy consumption data of the central air conditioner to be tested is normal; if the actual energy consumption data of the central air conditioner to be tested is greater than the energy consumption data of the corresponding time in the historical energy consumption usage pattern, the actual energy consumption data of the central air conditioner to be tested is abnormal, and the abnormal energy consumption result is output;

[0056] Based on the abnormal energy consumption result, the difference between the actual energy consumption data of the central air conditioner to be tested and the energy consumption data of the corresponding time in the historical energy consumption usage pattern is calculated and recorded as the abnormal difference;

[0057] The abnormal degree of energy consumption of the central air conditioner to be tested is analyzed based on the abnormal difference, wherein the abnormal degree of energy consumption of the central air conditioner to be tested is positively correlated with the abnormal difference;

[0058] Based on the abnormal energy consumption results, the central air conditioner to be tested with abnormal energy consumption is located and marked as the abnormal energy consumption central air conditioner, and the location of the abnormal energy consumption central air conditioner is recorded.

[0059] By adopting the above technical solution, the theoretical energy consumption data is calculated based on the energy efficiency ratio information of the central air conditioner to be tested, and the comprehensive characteristic influence coefficient of the central air conditioner to be tested is calculated. Analyze the actual energy consumption deviation value, calculate the actual energy consumption data by combining the theoretical energy consumption data and the actual energy consumption deviation value, compare the actual energy consumption data with the energy consumption data of the corresponding time in the historical energy consumption usage pattern to determine whether the actual energy consumption data is abnormal. If abnormal, output the energy consumption abnormality result, calculate the abnormality degree of the central air-conditioning to be tested with abnormal actual energy consumption data, and record the location of the central air-conditioning with abnormal energy consumption, thereby improving the accuracy of energy consumption monitoring of the central air-conditioning to be tested.

[0060] Preferably, a signal connection link is established between the wireless communication module and the central air conditioner to be tested;

[0061] Obtain energy consumption anomaly results, energy consumption anomaly levels, and energy consumption anomaly central air conditioner locations and perform cache processing;

[0062] Based on the wireless communication module, the energy consumption abnormality results, the degree of energy consumption abnormality and the location of the central air conditioner with abnormal energy consumption are sent to the user terminal.

[0063] By adopting the above technical solution, the wireless communication module based on wireless Bluetooth technology sends the energy consumption abnormality results, the degree of energy consumption abnormality and the location of the central air-conditioning with abnormal energy consumption to the user terminal, so that the staff of the user terminal can timely understand the abnormal energy consumption of the central air-conditioning to be tested and carry out maintenance or record the abnormal energy consumption data in time.

[0064] In the second aspect, the present application provides a central air-conditioning intelligent energy consumption monitoring and management system, which adopts the following technical solutions:

[0065] A central air-conditioning intelligent energy consumption monitoring and management system, comprising:

[0066] A historical energy consumption pattern analysis module is configured to obtain historical usage data of the central air conditioner to be tested, determine a benchmark central air conditioner based on a usage scenario of the central air conditioner to be tested, obtain historical usage data of the benchmark central air conditioner, and analyze historical energy consumption patterns by integrating the historical usage data of the central air conditioner to be tested and the historical usage data of the benchmark central air conditioner;

[0067] The environmental impact analysis module is configured to detect the external environment of the building where the central air conditioner to be tested is located to obtain the external environment detection results, and analyze the impact of the external environment on the energy consumption of the central air conditioner based on the external environment detection results to obtain the external environment impact coefficient ;

[0068] The building impact analysis module is configured to detect the building structure of the building where the central air conditioner to be tested is located to obtain the building structure information of the central air conditioner to be tested, and analyze the impact of the building where the central air conditioner to be tested is located on the energy consumption of the central air conditioner based on the building structure information of the central air conditioner to be tested, the use information of the central air conditioner to be tested, and the use area information of the central air conditioner to be tested to obtain the building impact coefficient ;

[0069] The personnel impact analysis module is configured to detect the personnel situation in the building where the central air conditioner to be tested is located to obtain personnel information, and based on the personnel information, analyze the impact of the personnel in the building where the central air conditioner to be tested is located on the energy consumption of the central air conditioner to be tested to obtain the personnel impact coefficient ;

[0070] Comprehensive impact analysis module, configured to comprehensively analyze external environmental impact coefficients , Building influence coefficient And the personnel influence coefficient Get the comprehensive characteristic influence coefficient ;

[0071] The energy consumption monitoring and analysis module is configured to obtain the energy efficiency ratio information of the central air conditioner to be tested, based on the energy efficiency ratio information of the central air conditioner to be tested and the comprehensive characteristic influence coefficient Analyze the actual energy consumption data of the central air conditioner to be tested, and analyze whether there is any abnormality in the energy consumption of the central air conditioner to be tested based on the actual energy consumption data and the historical energy consumption usage rules. If abnormal, output the abnormal energy consumption result, analyze the abnormal degree of energy consumption based on the abnormal energy consumption result, and locate the abnormal central air conditioner;

[0072] The wireless communication module is configured to send the energy consumption abnormality result, the degree of energy consumption abnormality and the location of the central air conditioner with energy consumption abnormality to the user terminal based on the wireless communication module.

[0073] In summary, the present application includes at least one of the following beneficial technical effects:

[0074] The benchmark central air conditioner is determined by the usage scenario of the central air conditioner to be tested. The historical energy consumption pattern is analyzed through the historical usage data of the central air conditioner to be tested and the historical usage data of the benchmark central air conditioner. The external environment of the building where the central air conditioner to be tested is analyzed to determine the external environment impact coefficient. Analyze the influence of the building structure of the building where the central air conditioner is located, the purpose of the central air conditioner, and the area of ​​use of the central air conditioner on the energy consumption of the central air conditioner to obtain the building influence coefficient , analyze the impact of the personnel situation in the building where the central air conditioner to be tested is located on the energy consumption of the central air conditioner to be tested to obtain the personnel impact coefficient , comprehensive external environmental impact coefficient , Building influence coefficient And the personnel influence coefficient Get the comprehensive characteristic influence coefficient , improving the comprehensive feature influence coefficient The accuracy is based on the energy efficiency ratio information and comprehensive characteristic influence coefficient of the central air conditioner to be tested. 2. Analyze the historical energy consumption patterns to see if there is any abnormality in the energy consumption of the central air conditioner to be tested. If there is any abnormality, the abnormal energy consumption result will be output, which improves the accuracy of detecting abnormal energy consumption of the central air conditioner to be tested, and thus improves the accuracy of energy consumption monitoring of the central air conditioner to be tested;

[0075] The ventilation performance of the building where the central air conditioner to be tested is analyzed by using the building structure of the building where the central air conditioner to be tested is located. Then, based on the influence of the ventilation performance on the energy consumption of the central air conditioner to be tested, the building structure influence coefficient is obtained. , analyze the thermal insulation performance of the building where the central air conditioner is located by the building materials of the building where the central air conditioner is located, and then obtain the building material influence coefficient based on the thermal insulation performance analysis of the impact on the energy consumption of the central air conditioner to be tested , comprehensive building structure influence coefficient And the building material influence coefficient Get the building structure influence coefficient , increasing the building structure influence coefficient The accuracy of the building use is analyzed based on the central air conditioning use information to be tested to obtain the building use influence coefficient , based on the central air conditioning area information to be tested, the building area influence coefficient is obtained by analysis , comprehensive building structure influence coefficient , Building use impact coefficient And the building area influence coefficient Get the building influence coefficient , increasing the building impact coefficient The accuracy of the energy consumption monitoring of the central air conditioner to be tested is further improved;

[0076] By analyzing the number of people in the building where the central air conditioner to be tested is located and the area of ​​use of the central air conditioner to be tested, the population density information is obtained, and the population density influence coefficient is obtained. , analyze the personnel activity intensity information in the building where the central air conditioner to be tested is located, analyze the heat generated by personnel activities to obtain personnel activity heat data, analyze the impact of personnel activity heat data on the energy consumption of the central air conditioner to be tested, and obtain the personnel activity intensity influence coefficient Based on the personnel and equipment usage information, the heat generated by all the equipment used by each person in the building where the central air conditioner to be tested is analyzed to obtain the equipment heat data. Based on the equipment heat data, the impact on the energy consumption of the central air conditioner to be tested is analyzed to obtain the personnel and equipment impact coefficient , comprehensive personnel density influence coefficient , influence coefficient of personnel activity intensity And the influence coefficient of personnel and equipment Calculate the personnel influence coefficient , improving the personnel influence coefficient The accuracy of the energy consumption monitoring of the central air conditioner to be tested is further improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0077] Figure 1 This is a flow chart of the central air conditioner intelligent energy consumption monitoring and management method mainly embodied in this embodiment;

[0078] Figure 2 This is a schematic diagram of the modules of the central air-conditioning intelligent energy consumption monitoring and management system mainly embodied in this embodiment.

[0079] Figure numerals: 1. Historical energy consumption pattern analysis module; 2. Environmental impact analysis module; 3. Building impact analysis module; 4. Personnel impact analysis module; 5. Comprehensive impact analysis module; 6. Energy consumption monitoring and analysis module; 7. Wireless communication module. DETAILED DESCRIPTION

[0080] The present application is further described in detail below in conjunction with the accompanying drawings.

[0081] The embodiment of the present application discloses a central air-conditioning intelligent energy consumption monitoring and management method.

[0082] A central air conditioner intelligent energy consumption monitoring and management method comprises the following steps:

[0083] Reference Figure 1 Step S1, obtain the historical usage data of the central air conditioner to be tested, determine the benchmark central air conditioner based on the usage scenario of the central air conditioner to be tested, obtain the historical usage data of the benchmark central air conditioner, and analyze the historical energy consumption rules by combining the historical usage data of the central air conditioner to be tested and the historical usage data of the benchmark central air conditioner. Step S1 specifically includes the following sub-steps:

[0084] Step S11, obtaining historical usage data of the central air conditioner to be tested and caching the historical usage data of the central air conditioner to be tested.

[0085] Step S12, detecting the area where the central air conditioner to be tested is located, and obtaining the area information of the central air conditioner to be tested.

[0086] Step S13, detecting the usage area of ​​the central air conditioner to be tested to obtain usage area information of the central air conditioner to be tested.

[0087] Step S14, detecting the purpose of the central air conditioner to be tested, and obtaining purpose information of the central air conditioner to be tested.

[0088] Step S15, screening central air conditioners with the area information and usage information of the central air conditioners to be tested to obtain a first target screening pool.

[0089] Step S16, based on the usage area information of the central air conditioner to be tested, analyze the central air conditioners whose usage area difference with the central air conditioner to be tested does not exceed a preset usage area difference threshold, and screen them to obtain a second target screening pool.

[0090] Step S17, based on the logic AND gate analysis, central air conditioners that meet both the first target screening pool and the second target screening pool are screened to obtain benchmark central air conditioners.

[0091] Step S18, obtaining the historical usage data of the benchmark central air conditioner and caching the historical usage data of the benchmark central air conditioner.

[0092] Step S19, analyzing the historical usage data of the central air conditioner to be tested and the historical usage data of the benchmark central air conditioner to obtain the historical energy consumption usage pattern.

[0093] In specific application, the benchmark central air-conditioners are screened and analyzed through the region where the central air-conditioner to be tested is located, the usage area of ​​the central air-conditioner to be tested, and the purpose of the central air-conditioner to be tested. The historical practical data of the benchmark central air-conditioners and the historical usage data of the central air-conditioner to be tested are obtained and analyzed to analyze the historical energy consumption patterns of the central air-conditioners, which provides data support for subsequent central air-conditioner energy consumption monitoring, thereby improving the accuracy of energy consumption monitoring of the central air-conditioner to be tested.

[0094] Reference Figure 1 Step S2: Detect the external environment of the building where the central air conditioner to be tested is located to obtain the external environment detection result, and analyze the impact of the external environment on the energy consumption of the central air conditioner based on the external environment detection result to obtain the external environment impact coefficient. Step S2 specifically includes the following sub-steps:

[0095] Step S21, detecting the external temperature of the building where the central air conditioner to be tested is located to obtain external temperature information, detecting the external humidity of the building where the central air conditioner to be tested is located to obtain external humidity information, wherein the external temperature information and the external humidity information are combined to form an external environment detection result.

[0096] Step S22, obtaining the user's target temperature in the building where the central air conditioner to be tested is located, and caching the target temperature data.

[0097] Step S23, based on the external temperature information and the user's target temperature, the difference between the external temperature of the building where the central air conditioner to be tested is located and the user's target temperature is calculated to obtain the ambient temperature difference.

[0098] Step S24: Analyze the influence of the external temperature of the building where the central air conditioner to be tested is located on the energy consumption of the central air conditioner to be tested based on the ambient temperature difference to obtain the external temperature influence coefficient. The external temperature influence coefficient is It is positively correlated with the ambient temperature difference.

[0099] Step S25: Analyze the influence of the external humidity of the building where the central air conditioner to be tested is located on the energy consumption of the central air conditioner to be tested based on the external humidity information to obtain the external humidity influence coefficient. Among them, the external humidity influence coefficient Positively correlated with external humidity.

[0100] Step S26, combining the external temperature influence coefficient and the external humidity influence coefficient, based on the environmental correlation function Calculate the external environmental impact coefficient ,in, , are scaling factors and are all greater than zero.

[0101] In specific applications, the external temperature and humidity of the building where the central air conditioner to be tested is located are detected to obtain the external temperature information and the external humidity information. The ambient temperature difference is calculated based on the difference between the external temperature and the user's target temperature. The external temperature influence coefficient is analyzed based on the ambient temperature difference. , analyze the external humidity influence coefficient based on external humidity information , comprehensive external temperature influence coefficient And the external humidity influence coefficient Get the external environment impact coefficient , increasing the external environmental impact coefficient The accuracy of the energy consumption monitoring of the central air conditioner to be tested is improved.

[0102] Reference Figure 1 Step S3: Detect the building structure of the building where the central air conditioner to be tested is located to obtain the building structure information of the central air conditioner to be tested; analyze the influence of the building where the central air conditioner to be tested is located on the energy consumption of the central air conditioner based on the building structure information of the central air conditioner to be tested, the use information of the central air conditioner to be tested, and the use area information of the central air conditioner to be tested to obtain the building influence coefficient. Step S3 specifically includes the following sub-steps:

[0103] Step S31, detecting the building structure of the building where the central air conditioner to be tested is located to obtain building structure information, detecting the building materials of the building where the central air conditioner to be tested is located to obtain building material information, and combining the building structure information and the building material information to form the building construction information of the central air conditioner to be tested.

[0104] Step S32: Analyze the ventilation performance of the building where the central air conditioner to be tested is located based on the building structure information and output the ventilation performance results; analyze the influence of the structure of the building where the central air conditioner to be tested on the energy consumption of the central air conditioner to be tested based on the ventilation performance results of the building where the central air conditioner to be tested is located to obtain the building structure influence coefficient. .

[0105] Step S33: Analyze the thermal insulation performance of the building materials of the building where the central air conditioner to be tested is located based on the building material information and output the thermal insulation performance result; analyze the influence of the building materials of the building where the central air conditioner to be tested on the energy consumption of the central air conditioner to be tested based on the thermal insulation performance result to obtain the building material influence coefficient Among them, the better the thermal insulation performance of the building material, the greater the building material influence coefficient. The bigger.

[0106] Step S34: Comprehensive building structure influence coefficient And the building material influence coefficient , based on constructing the correlation function Calculate and obtain the building structure influence coefficient ,in, , are scaling factors and are all greater than zero.

[0107] Step S35: Based on the usage information of the central air conditioner to be tested, the influence of the usage of the central air conditioner to be tested on the energy consumption of the central air conditioner to be tested is analyzed to obtain the building usage influence coefficient The uses of the central air conditioners to be tested include residential central air conditioners, commercial central air conditioners and industrial central air conditioners.

[0108] Step S36: Based on the usage area information of the central air conditioner to be tested, the influence of the usage area of ​​the central air conditioner to be tested on the energy consumption of the central air conditioner to be tested is analyzed to obtain the building area influence coefficient The building area influence coefficient is It is positively correlated with the usage area of ​​the central air conditioner to be tested.

[0109] Step S37, comprehensive building structure influence coefficient , Building use impact coefficient And the building area influence coefficient , based on the building association function Calculate and get the building influence coefficient ,in, , , are scaling factors and are all greater than zero.

[0110] In specific applications, the ventilation performance of the building where the central air conditioner is located is analyzed by the building structure of the building where the central air conditioner is located, and then the building structure influence coefficient is obtained based on the influence of the ventilation performance analysis on the energy consumption of the central air conditioner to be tested. , analyze the thermal insulation performance of the building where the central air conditioner is located by the building materials of the building where the central air conditioner is located, and then obtain the building material influence coefficient based on the thermal insulation performance analysis of the impact on the energy consumption of the central air conditioner to be tested , comprehensive building structure influence coefficient And the building material influence coefficient Get the building structure influence coefficient , increasing the building structure influence coefficient Based on the information of the central air conditioner usage to be tested, the building usage influence coefficient is obtained by analysis. , based on the central air conditioning area information to be tested, the building area influence coefficient is obtained by analysis , comprehensive building structure influence coefficient , Building use impact coefficient And the building area influence coefficient Get the building influence coefficient , increasing the building impact coefficient The accuracy of the energy consumption monitoring of the central air conditioner to be tested is improved.

[0111] Reference Figure 1 Step S4: Detect the personnel situation in the building where the central air conditioner to be tested is located to obtain personnel information, and analyze the influence of the personnel in the building where the central air conditioner to be tested on the energy consumption of the central air conditioner to be tested based on the personnel information to obtain the personnel influence coefficient Step S4 specifically includes the following sub-steps:

[0112] Step S41, detect the number of people in the building where the central air conditioner to be tested is located to obtain information on the number of people, detect the intensity of people activities in the building where the central air conditioner to be tested is located to obtain information on the intensity of people activities, and detect the use of people and equipment in the building where the central air conditioner to be tested is located to obtain information on the use of people and equipment, wherein the information on the number of people, the information on the intensity of people activities and the information on the use of people and equipment are combined to form the personnel information.

[0113] Step S42, based on the number of people in the building where the central air conditioner to be tested is located and the usage area information of the central air conditioner to be tested, the population density is calculated to obtain the population density information.

[0114] Step S43: Analyze the influence of the number of people in the building where the central air conditioner to be tested is located on the energy consumption of the central air conditioner to be tested based on the population density information, and obtain the population density influence coefficient .

[0115] Step S44, based on the personnel activity intensity information of the personnel in the building where the central air conditioner to be tested is located, the heat generated by the activities of the personnel in the building where the central air conditioner to be tested is located is analyzed to obtain the personnel activity heat data.

[0116] Step S45: Analyze the influence of the intensity of personnel activities in the building where the central air conditioner to be tested is located on the energy consumption of the central air conditioner to be tested based on the personnel activity heat data, and obtain the influence coefficient of the personnel activity intensity. Among them, the influence coefficient of personnel activity intensity is It is positively correlated with the heat data of human activities.

[0117] Step S46, based on the personnel and equipment usage information, the heat generated by all the equipment used by each person in the building where the central air conditioner to be tested is located is analyzed to obtain equipment heat data.

[0118] Step S47: Analyze the influence of the heat generated by the equipment used by people in the building where the central air conditioner to be tested is located on the energy consumption of the central air conditioner to be tested based on the equipment heat data, and obtain the personnel equipment influence coefficient Among them, the personnel and equipment influence coefficient It is positively correlated with the heat data of human activities.

[0119] Step S48, influence coefficient of personnel density , influence coefficient of personnel activity intensity And the influence coefficient of personnel and equipment Conduct comprehensive analysis based on personnel association function Calculate and get the personnel influence coefficient ,in, , , are scaling factors and are all greater than zero.

[0120] In specific applications, the population density information is obtained by analyzing the number of people in the building where the central air conditioner to be tested is located and the area of ​​use of the central air conditioner to be tested, thereby obtaining the population density influence coefficient. , analyze the personnel activity intensity information in the building where the central air conditioner to be tested is located, analyze the heat generated by personnel activities to obtain personnel activity heat data, analyze the impact of personnel activity heat data on the energy consumption of the central air conditioner to be tested, and obtain the personnel activity intensity influence coefficient Based on the personnel and equipment usage information, the heat generated by all the equipment used by each person in the building where the central air conditioner to be tested is analyzed to obtain the equipment heat data. Based on the equipment heat data, the impact on the energy consumption of the central air conditioner to be tested is analyzed to obtain the personnel and equipment impact coefficient , comprehensive personnel density influence coefficient , influence coefficient of personnel activity intensity And the influence coefficient of personnel and equipment Calculate the personnel influence coefficient , improving the personnel influence coefficient The accuracy of the energy consumption monitoring of the central air conditioner to be tested is improved.

[0121] Reference Figure 1 , step S5, comprehensive analysis of external environment impact coefficient , Building influence coefficient And the personnel influence coefficient Get the comprehensive characteristic influence coefficient Step S5 specifically includes:

[0122] Comprehensive external environmental impact coefficient , Building influence coefficient And the personnel influence coefficient , based on the comprehensive correlation function Calculate and obtain the comprehensive characteristic influence coefficient , where m1, m2, and m3 are proportional factors and are all greater than zero.

[0123] In specific applications, the external environmental impact coefficient is comprehensively , Building influence coefficient And the personnel influence coefficient Get the comprehensive characteristic influence coefficient , improving the comprehensive feature influence coefficient The accuracy of the energy consumption monitoring of the central air conditioner to be tested is improved.

[0124] Reference Figure 1 Step S6: Obtain the energy efficiency ratio information of the central air conditioner to be tested, based on the energy efficiency ratio information of the central air conditioner to be tested and the comprehensive characteristic influence coefficient Analyze the actual energy consumption data of the central air conditioner to be tested, and analyze whether the energy consumption of the central air conditioner to be tested is abnormal based on the actual energy consumption data and the historical energy consumption usage rules. If abnormal, output the energy consumption abnormality result, analyze the degree of energy consumption abnormality based on the energy consumption abnormality result, and locate the location of the central air conditioner with abnormal energy consumption. Step S6 specifically includes the following sub-steps:

[0125] Step S61, obtaining energy efficiency ratio information of the central air conditioner to be tested, and calculating theoretical energy consumption data of the central air conditioner to be tested based on the energy efficiency ratio information of the central air conditioner to be tested.

[0126] Step S62: based on the comprehensive characteristic influence coefficient of the central air conditioner to be tested , analyze the actual deviation value of energy consumption in use of the central air conditioner to be tested, and record it as the actual energy consumption deviation value.

[0127] Step S63, calculating the actual energy consumption data of the central air conditioner to be tested based on the theoretical energy consumption data of the central air conditioner to be tested and the actual energy consumption deviation value of the central air conditioner to be tested.

[0128] Step S64, compare the actual energy consumption data of the central air conditioner to be tested with the energy consumption data of the corresponding time in the historical energy consumption usage pattern to determine whether the actual energy consumption data of the central air conditioner to be tested is abnormal. The historical energy consumption usage pattern includes energy consumption data of each time period.

[0129] Step S65, if the actual energy consumption data of the central air conditioner to be tested is less than or equal to the energy consumption data of the corresponding time in the historical energy consumption usage pattern, the actual energy consumption data of the central air conditioner to be tested is normal; if the actual energy consumption data of the central air conditioner to be tested is greater than the energy consumption data of the corresponding time in the historical energy consumption usage pattern, the actual energy consumption data of the central air conditioner to be tested is abnormal, and the abnormal energy consumption result is output.

[0130] Step S66, based on the energy consumption abnormality result, calculate the difference between the actual energy consumption data of the central air conditioner to be tested and the energy consumption data of the corresponding time in the historical energy consumption usage pattern, and record it as the abnormal difference.

[0131] Step S67, analyzing the abnormal degree of energy consumption of the central air conditioner to be tested based on the abnormal difference, wherein the abnormal degree of energy consumption of the central air conditioner to be tested is positively correlated with the abnormal difference.

[0132] Step S68, based on the abnormal energy consumption result, the central air conditioner to be tested with abnormal energy consumption is located and marked as the central air conditioner with abnormal energy consumption, and the location of the central air conditioner with abnormal energy consumption is recorded.

[0133] In specific applications, the theoretical energy consumption data is calculated based on the energy efficiency ratio information of the central air conditioner to be tested, and the comprehensive characteristic influence coefficient of the central air conditioner to be tested is calculated based on the energy efficiency ratio information of the central air conditioner to be tested. Analyze the actual energy consumption deviation value, calculate the actual energy consumption data by combining the theoretical energy consumption data and the actual energy consumption deviation value, compare the actual energy consumption data with the energy consumption data of the corresponding time in the historical energy consumption usage pattern to determine whether the actual energy consumption data is abnormal. If abnormal, output the energy consumption abnormality result, calculate the abnormality degree of the central air-conditioning to be tested with abnormal actual energy consumption data, and record the location of the central air-conditioning with abnormal energy consumption, thereby improving the accuracy of energy consumption monitoring of the central air-conditioning to be tested.

[0134] Reference Figure 1 , step S7, based on the wireless communication module 7, the energy consumption abnormality result, the degree of energy consumption abnormality and the location of the central air conditioner with energy consumption abnormality are sent to the user terminal. Step S7 specifically includes the following sub-steps:

[0135] Step S71, establishing a signal connection link between the wireless communication module 7 and the central air conditioner to be tested.

[0136] Step S72, obtaining the energy consumption abnormality result, the degree of energy consumption abnormality and the location of the central air conditioner with energy consumption abnormality and performing cache processing.

[0137] Step S73, the energy consumption abnormality result, the degree of energy consumption abnormality and the location of the central air conditioner with energy consumption abnormality are sent to the user terminal based on the wireless communication module 7. It should be noted that the wireless communication module 7 in the embodiment of the present application refers to a wireless communication module 7 based on wireless Bluetooth technology.

[0138] In specific application, the energy consumption abnormality results, the degree of energy consumption abnormality and the location of the central air conditioner with abnormal energy consumption are sent to the user terminal through the wireless communication module 7 based on wireless Bluetooth technology, so that the staff of the user terminal can timely understand the abnormal energy consumption of the central air conditioner to be tested and carry out maintenance or record the abnormal energy consumption data in time.

[0139] The embodiment of the present application also discloses a central air-conditioning intelligent energy consumption monitoring and management system.

[0140] Reference Figure 2A central air-conditioning intelligent energy consumption monitoring and management system includes a historical energy consumption law analysis module 1, an environmental impact analysis module 2, a building impact analysis module 3, a personnel impact analysis module 4, a comprehensive impact analysis module 5, an energy consumption monitoring and analysis module 6 and a wireless communication module 7.

[0141] The historical energy consumption pattern analysis module 1 is configured to obtain the historical usage data of the central air conditioner to be tested, determine the benchmark central air conditioner based on the usage scenario of the central air conditioner to be tested, obtain the historical usage data of the benchmark central air conditioner, and analyze the historical energy consumption usage pattern by integrating the historical usage data of the central air conditioner to be tested and the historical usage data of the benchmark central air conditioner.

[0142] Environmental impact analysis module 2 is configured to detect the external environment of the building where the central air conditioner to be tested is located to obtain the external environment detection result, and analyze the impact of the external environment on the energy consumption of the central air conditioner based on the external environment detection result to obtain the external environment impact coefficient .

[0143] The building impact analysis module 3 is configured to detect the building structure of the building where the central air conditioner to be tested is located to obtain the building structure information of the central air conditioner to be tested, and analyze the impact of the building where the central air conditioner to be tested is located on the energy consumption of the central air conditioner based on the building structure information of the central air conditioner to be tested, the use information of the central air conditioner to be tested, and the use area information of the central air conditioner to be tested to obtain the building impact coefficient .

[0144] The personnel impact analysis module 4 is configured to detect the personnel situation in the building where the central air conditioner to be tested is located to obtain personnel information, and analyze the impact of the personnel in the building where the central air conditioner to be tested is located on the energy consumption of the central air conditioner to be tested based on the personnel information to obtain the personnel impact coefficient .

[0145] Comprehensive impact analysis module 5, configured to comprehensively analyze external environmental impact coefficients , Building influence coefficient And the personnel influence coefficient Get the comprehensive characteristic influence coefficient .

[0146] The energy consumption monitoring and analysis module 6 is configured to obtain the energy efficiency ratio information of the central air conditioner to be tested, based on the energy efficiency ratio information of the central air conditioner to be tested and the comprehensive characteristic influence coefficient Analyze the actual energy consumption data of the central air conditioner to be tested, and analyze whether there is any abnormality in the energy consumption of the central air conditioner to be tested based on the actual energy consumption data and historical energy consumption usage patterns. If abnormal, output the energy consumption abnormality result, analyze the degree of energy consumption abnormality based on the energy consumption abnormality result and locate the central air conditioner with abnormal energy consumption.

[0147] The wireless communication module 7 is configured to send the energy consumption abnormality result, the energy consumption abnormality degree and the energy consumption abnormality central air conditioner location to the user terminal based on the wireless communication module 7.

[0148] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A central air conditioning intelligent energy consumption monitoring and management method, characterized in that: The following steps are involved: Obtain the historical usage data of the central air conditioner to be tested, determine the benchmark central air conditioner based on the usage scenario of the central air conditioner to be tested, obtain the historical usage data of the benchmark central air conditioner, and analyze the historical energy consumption patterns by combining the historical usage data of the central air conditioner to be tested and the historical usage data of the benchmark central air conditioner, specifically including: Obtain historical usage data of the central air conditioner to be tested and cache the historical usage data of the central air conditioner to be tested; Detect the area where the central air conditioner to be tested is located to obtain the area information of the central air conditioner to be tested; Detect the usage area of ​​the central air conditioner to be tested to obtain usage area information of the central air conditioner to be tested; Detect the purpose of the central air conditioner to be tested and obtain the purpose information of the central air conditioner to be tested; The central air conditioners having the regional information and the usage information of the central air conditioners to be tested are screened to obtain a first target screening pool; Based on the usage area information of the central air conditioner to be tested, the central air conditioners whose usage area difference with the central air conditioner to be tested does not exceed a preset usage area difference threshold are analyzed and screened to obtain a second target screening pool; Based on the logic and gate analysis, the central air conditioners that meet both the first target screening pool and the second target screening pool are screened to obtain the benchmark central air conditioners; Obtain the historical usage data of the benchmark central air conditioner and cache the historical usage data of the benchmark central air conditioner; Analyze the historical usage data of the central air conditioner to be tested and the historical usage data of the benchmark central air conditioner to obtain the historical energy consumption pattern; Detect the external environment of the building where the central air conditioner to be tested is located to obtain the external environment detection results. Based on the external environment detection results, analyze the impact of the external environment on the energy consumption of the central air conditioner to be tested to obtain the external environment impact coefficient ; The building structure of the building where the central air conditioner to be tested is located is detected to obtain the building structure information of the central air conditioner to be tested. Based on the building structure information of the central air conditioner to be tested, the use information of the central air conditioner to be tested and the use area information of the central air conditioner to be tested, the influence of the building where the central air conditioner to be tested is analyzed on the energy consumption of the central air conditioner to be tested to obtain the building influence coefficient ; Detect the personnel situation in the building where the central air conditioner to be tested is located to obtain personnel information, and analyze the impact of the personnel in the building where the central air conditioner to be tested on the energy consumption of the central air conditioner to be tested based on the personnel information to obtain the personnel impact coefficient ; Comprehensive analysis of external environmental impact coefficients , Building influence coefficient And the personnel influence coefficient Get the comprehensive characteristic influence coefficient ; Obtain the energy efficiency ratio information of the central air conditioner to be tested, based on the energy efficiency ratio information of the central air conditioner to be tested and the comprehensive characteristic influence coefficient Analyze the actual energy consumption data of the central air conditioner to be tested, and analyze whether there is any abnormality in the energy consumption of the central air conditioner to be tested based on the actual energy consumption data and the historical energy consumption usage rules. If abnormal, output the abnormal energy consumption result, analyze the abnormal degree of energy consumption based on the abnormal energy consumption result, and locate the abnormal central air conditioner; Based on the wireless communication module (7), the energy consumption abnormality result, the degree of energy consumption abnormality and the location of the central air conditioner with energy consumption abnormality are sent to the user terminal.

2. A central air conditioning intelligent energy consumption monitoring and management method according to claim 1, characterized in that: Detect the external environment of the building where the central air conditioner to be tested is located to obtain the external environment detection results. Based on the external environment detection results, analyze the impact of the external environment on the energy consumption of the central air conditioner to obtain the external environment impact coefficient The steps include: Detecting the external temperature of the building where the central air conditioner to be tested is located to obtain external temperature information, and detecting the external humidity of the building where the central air conditioner to be tested is located to obtain external humidity information, wherein the external temperature information and the external humidity information are combined to form an external environment detection result; Obtain the user's target temperature in the building where the central air conditioner to be tested is located, and cache the target temperature data; Based on the external temperature information and the user's target temperature, the difference between the external temperature of the building where the central air conditioner to be tested is located and the user's target temperature is calculated to obtain the ambient temperature difference; Based on the difference in ambient temperature, the influence of the external temperature of the building where the central air conditioner to be tested is analyzed to obtain the external temperature influence coefficient. ; Among them, the external temperature influence coefficient Positively correlated with the ambient temperature difference; Based on the external humidity information, the influence of the external humidity of the building where the central air conditioner to be tested is analyzed to obtain the external humidity influence coefficient of the energy consumption of the central air conditioner to be tested. ; Comprehensive external temperature influence coefficient And the external humidity influence coefficient , based on the environmental correlation function Calculate the external environmental impact coefficient ,in, , are scaling factors and are all greater than zero.

3. A central air conditioning intelligent energy consumption monitoring and management method according to claim 2, characterized in that: The building structure of the building where the central air conditioner to be tested is located is detected to obtain the building structure information of the central air conditioner to be tested. Based on the building structure information of the central air conditioner to be tested, the use information of the central air conditioner to be tested, and the use area information of the central air conditioner to be tested, the influence of the building where the central air conditioner to be tested is analyzed on the energy consumption of the central air conditioner to obtain the building influence coefficient The steps include: Detecting the building structure of the building where the central air conditioner to be tested is located to obtain building structure information, detecting the building materials of the building where the central air conditioner to be tested is located to obtain building material information, and combining the building structure information and the building material information to form the building construction information of the central air conditioner to be tested; Based on the building structure information, the ventilation performance of the building where the central air conditioner is located is analyzed to output the ventilation performance results. Based on the ventilation performance results of the building where the central air conditioner is located, the influence of the structure of the building where the central air conditioner is located on the energy consumption of the central air conditioner to be tested is analyzed to obtain the building structure influence coefficient. ; Based on the building material information, the thermal insulation performance of the building materials of the building where the central air conditioner to be tested is analyzed to output the thermal insulation performance results. Based on the thermal insulation performance results, the influence of the building materials of the building where the central air conditioner to be tested on the energy consumption of the central air conditioner to be tested is analyzed to obtain the building material influence coefficient ; Comprehensive building structure influence coefficient And the building material influence coefficient , based on constructing the correlation function Calculate and obtain the building structure influence coefficient ,in, , are proportional factors and are all greater than zero; Based on the usage information of the central air conditioner to be tested, the influence of the usage of the central air conditioner to be tested on the energy consumption of the central air conditioner to be tested is analyzed to obtain the influence coefficient of building usage ; The uses of the central air conditioners to be tested include residential central air conditioners, commercial central air conditioners and industrial central air conditioners; Based on the usage area information of the central air conditioner to be tested, the influence of the usage area of ​​the central air conditioner to be tested on the energy consumption of the central air conditioner to be tested is analyzed to obtain the building area influence coefficient ; Among them, the building area influence coefficient It is positively correlated with the usage area of ​​the central air conditioner to be tested; Comprehensive building structure influence coefficient , Building use impact coefficient And the building area influence coefficient , based on the building association function Calculate and get the building influence coefficient ,in, , , are scaling factors and are all greater than zero.

4. A central air conditioning intelligent energy consumption monitoring and management method according to claim 3, characterized in that: Detect the personnel situation in the building where the central air conditioner to be tested is located to obtain personnel information, and analyze the impact of the personnel in the building where the central air conditioner to be tested on the energy consumption of the central air conditioner to be tested based on the personnel information to obtain the personnel impact coefficient The steps include: Detecting the number of people in the building where the central air conditioner to be tested is located to obtain information on the number of people, detecting the intensity of people's activities in the building where the central air conditioner to be tested is located to obtain information on the intensity of people's activities, and detecting the use of people's equipment in the building where the central air conditioner to be tested is located to obtain information on the use of people's equipment, wherein the information on the number of people, the information on the intensity of people's activities, and the information on the use of people's equipment are combined to form the personnel information; Based on the number of people in the building where the central air conditioner to be tested is located and the use area information of the central air conditioner to be tested, the population density is calculated to obtain the population density information; Based on the population density information, the impact of the number of people in the building where the central air conditioner to be tested is analyzed to determine the impact of the number of people in the building where the central air conditioner to be tested is located on the energy consumption of the central air conditioner to be tested. The population density impact coefficient is obtained. ; Based on the activity intensity information of the personnel in the building where the central air conditioner to be tested is located, the heat generated by the activities of the personnel in the building where the central air conditioner to be tested is analyzed to obtain the personnel activity heat data; Based on the heat data of personnel activities, the influence of personnel activity intensity in the building where the central air conditioner to be tested is analyzed to determine the influence coefficient of personnel activity intensity on the energy consumption of the central air conditioner to be tested. ; Among them, the influence coefficient of personnel activity intensity It is positively correlated with the heat data of human activities; Based on the personnel and equipment usage information, the heat generated by all the equipment used by each person in the building where the central air conditioner to be tested is located is analyzed to obtain the equipment heat data; Based on the equipment heat data, the influence of the heat generated by the equipment used by people in the building where the central air conditioner to be tested is analyzed to obtain the influence coefficient of people and equipment ; Among them, the personnel and equipment influence coefficient It is positively correlated with the heat data of human activities; Comprehensive population density impact coefficient , influence coefficient of personnel activity intensity And the influence coefficient of personnel and equipment , based on the personnel association function Calculate and get the personnel influence coefficient ,in, , , are scaling factors and are all greater than zero.

5. A central air-conditioning intelligent energy consumption monitoring and management method according to claim 4, characterized in that: Comprehensive analysis of external environmental impact coefficients , Building influence coefficient And the personnel influence coefficient Get the comprehensive characteristic influence coefficient The steps include: Comprehensive external environmental impact coefficient , Building influence coefficient And the personnel influence coefficient , based on the comprehensive correlation function Calculate and obtain the comprehensive characteristic influence coefficient , where m1, m2, and m3 are proportional factors and are all greater than zero.

6. A central air conditioning intelligent energy consumption monitoring and management method according to claim 5, characterized in that: Obtain the energy efficiency ratio information of the central air conditioner to be tested, based on the energy efficiency ratio information of the central air conditioner to be tested and the comprehensive characteristic influence coefficient The steps of analyzing the actual energy consumption data of the central air conditioner to be tested, analyzing whether the energy consumption of the central air conditioner to be tested is abnormal based on the actual energy consumption data and the historical energy consumption usage pattern, and outputting the energy consumption abnormality result if abnormal, analyzing the degree of energy consumption abnormality based on the energy consumption abnormality result and locating the position of the central air conditioner with abnormal energy consumption specifically include: Obtaining energy efficiency ratio information of the central air conditioner to be tested, and calculating theoretical energy consumption data of the central air conditioner to be tested based on the energy efficiency ratio information of the central air conditioner to be tested; Based on the comprehensive characteristic influence coefficient of the central air conditioner to be tested , analyze the actual deviation value of energy consumption in the use of the central air conditioner to be tested, and record it as the actual energy consumption deviation value; Calculate the actual energy consumption data of the central air conditioner to be tested based on the theoretical energy consumption data of the central air conditioner to be tested and the actual energy consumption deviation value of the central air conditioner to be tested; Compare the actual energy consumption data of the central air conditioner to be tested with the energy consumption data of the corresponding time in the historical energy consumption usage pattern to determine whether the actual energy consumption data of the central air conditioner to be tested is abnormal; wherein the historical energy consumption usage pattern includes energy consumption data of each time period; If the actual energy consumption data of the central air conditioner to be tested is less than or equal to the energy consumption data of the corresponding time in the historical energy consumption usage pattern, the actual energy consumption data of the central air conditioner to be tested is normal; if the actual energy consumption data of the central air conditioner to be tested is greater than the energy consumption data of the corresponding time in the historical energy consumption usage pattern, the actual energy consumption data of the central air conditioner to be tested is abnormal, and the abnormal energy consumption result is output; Based on the abnormal energy consumption result, the difference between the actual energy consumption data of the central air conditioner to be tested and the energy consumption data of the corresponding time in the historical energy consumption usage pattern is calculated and recorded as the abnormal difference; The abnormal degree of energy consumption of the central air conditioner to be tested is analyzed based on the abnormal difference, wherein the abnormal degree of energy consumption of the central air conditioner to be tested is positively correlated with the abnormal difference; Based on the abnormal energy consumption results, the central air conditioner to be tested with abnormal energy consumption is located and marked as the abnormal energy consumption central air conditioner, and the location of the abnormal energy consumption central air conditioner is recorded.

7. A central air-conditioning intelligent energy consumption monitoring and management method according to claim 6, characterized in that: The step of sending the energy consumption abnormality result, the degree of energy consumption abnormality and the location of the central air conditioner with energy consumption abnormality to the user terminal based on the wireless communication module (7) specifically includes: Establishing a signal connection link between the wireless communication module (7) and the central air conditioner to be tested; Obtain energy consumption anomaly results, energy consumption anomaly levels, and energy consumption anomaly central air conditioner locations and perform cache processing; Based on the wireless communication module (7), the energy consumption abnormality result, the degree of energy consumption abnormality and the location of the central air conditioner with energy consumption abnormality are sent to the user terminal.

8. A central air-conditioning intelligent energy consumption monitoring and management system, characterized in that: The central air-conditioning intelligent energy consumption monitoring and management system is used to implement the central air-conditioning intelligent energy consumption monitoring and management method described in any one of claims 1 to 7, including: The historical energy consumption pattern analysis module (1) is configured to obtain historical usage data of the central air conditioner to be tested, determine a benchmark central air conditioner based on the usage scenario of the central air conditioner to be tested, obtain historical usage data of the benchmark central air conditioner, and analyze the historical energy consumption pattern by combining the historical usage data of the central air conditioner to be tested and the historical usage data of the benchmark central air conditioner; The environmental impact analysis module (2) is configured to detect the external environment of the building where the central air conditioner to be tested is located to obtain an external environment detection result, and analyze the impact of the external environment on the energy consumption of the central air conditioner based on the external environment detection result to obtain an external environment impact coefficient ; The building impact analysis module (3) is configured to detect the building structure of the building where the central air conditioner to be tested is located to obtain the building structure information of the central air conditioner to be tested, and analyze the impact of the building where the central air conditioner to be tested is located on the energy consumption of the central air conditioner based on the building structure information of the central air conditioner to be tested, the use information of the central air conditioner to be tested and the use area information of the central air conditioner to be tested to obtain the building impact coefficient ; The personnel impact analysis module (4) is configured to detect the personnel situation in the building where the central air conditioner to be tested is located to obtain personnel information, and analyze the impact of the personnel in the building where the central air conditioner to be tested is located on the energy consumption of the central air conditioner to be tested based on the personnel information to obtain the personnel impact coefficient ; Comprehensive impact analysis module (5), configured to comprehensively analyze external environmental impact coefficients , Building influence coefficient And the personnel influence coefficient Get the comprehensive characteristic influence coefficient ; The energy consumption monitoring and analysis module (6) is configured to obtain the energy efficiency ratio information of the central air conditioner to be tested, based on the energy efficiency ratio information of the central air conditioner to be tested and the comprehensive characteristic influence coefficient Analyze the actual energy consumption data of the central air conditioner to be tested, and analyze whether there is any abnormality in the energy consumption of the central air conditioner to be tested based on the actual energy consumption data and the historical energy consumption usage rules. If abnormal, output the abnormal energy consumption result, analyze the abnormal degree of energy consumption based on the abnormal energy consumption result, and locate the abnormal central air conditioner; The wireless communication module (7) is configured to send the energy consumption abnormality result, the energy consumption abnormality degree and the location of the central air conditioner with energy consumption abnormality to the user terminal based on the wireless communication module (7).

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