HVAC operation data analysis and processing method, system and storage medium

Abstract

The present invention provides a method, system and storage medium for analyzing and processing HVAC operation data, which belongs to the field of data processing technology, and specifically includes: determining associated monitoring data under different matching operation conditions based on change data of energy consumption monitoring data of different equipment under matching operation conditions during a period of abnormal power supply voltage; determining that the matching operation condition belongs to the target operation condition based on the overlap of the associated monitoring data under different matching operation conditions; determining a startup processing strategy for a standby node of the associated monitoring data under the matching operation condition when a voltage deviation occurs based on the overlap of the associated monitoring data between the matching operation condition and different target operation conditions, and in combination with the constituent data of the matching operation condition belonging to the associated monitoring data, thereby improving the timeliness of the acquisition and processing of the monitoring and processing of the HVAC operation data.

Description

Technical Field

[0001] The present invention belongs to the field of data processing technology, and in particular relates to a method, system and storage medium for analyzing and processing HVAC operation data. Background Art

[0002] HVAC, especially large-scale HVAC, generates a large amount of operating data during operation. This data often truly reflects the actual operating status of the HVAC. By analyzing and processing the operating data of the HVAC, the operating status of the HVAC can be accurately controlled, and then targeted operating strategies can be generated.

[0003] Therefore, in order to realize the analysis and processing of HVAC operation data, the existing technical solutions often use the cleaning and classification of HVAC equipment operation data to realize the identification and processing of HVAC equipment faults and judge the actual operating status of HVAC equipment. Specifically, CN202411904845.3 "HVAC Fault Identification Method and System Based on Deep Learning" and CN202411896724.9 "HVAC Model Parameter Identification Method Based on GPS-PSO Algorithm" both provide similar technical solutions. However, the above technical solutions have the following technical problems:

[0004] When analyzing and processing the operating data of HVAC, on days when the power load is too high, abnormal power supply voltage periods occur. During the abnormal voltage period, different HVAC equipment deviates from the operating scenarios. Due to the unstable operation of the equipment, there is often abnormal energy consumption, which makes the demand for energy consumption optimization of HVAC high. Therefore, how to determine the active start-up strategy of the alternative monitoring nodes of the energy consumption monitoring data of different equipment, so that the energy consumption monitoring data can be collected and processed in a timely and reliable manner during the abnormal power supply voltage period, thereby laying the foundation for the optimization of the energy consumption control strategy of HVAC, has become a technical problem that needs to be solved urgently.

[0005] In order to solve the above technical problems, the present application provides a method, system and storage medium for analyzing and processing HVAC operation data. Summary of the Invention

[0006] To achieve the purpose of the present invention, the present invention adopts the following technical solutions:

[0007] Specifically, the present application provides a method for analyzing and processing HVAC operation data, which specifically includes:

[0008] S1 determines a period of abnormal power supply voltage of the HVAC based on abnormal power supply voltage data during operation of the HVAC, determines a matching operating condition based on operating data of the HVAC operating conditions during different periods of abnormal power supply voltage, and proceeds to the next step when it is determined that the period of abnormal power supply voltage needs to be considered based on the operating data of different matching operating conditions during the period of abnormal power supply voltage;

[0009] S2 determines the associated monitoring data under different matching operating conditions based on the change data of the energy consumption monitoring data of different devices under matching operating conditions during the period of abnormal power supply voltage;

[0010] S3, based on the overlap of the associated monitoring data under different matching operating conditions, determines that the matching operating condition belongs to the target operating condition, and proceeds to the next step;

[0011] S4 determines the startup processing strategy of the standby node of the associated monitoring data under the matching operating condition when a voltage deviation occurs based on the overlap of the associated monitoring data of the matching operating condition and different target operating conditions, and in combination with the constituent data of the matching operating condition belonging to the associated monitoring data.

[0012] The beneficial effects of the present invention are:

[0013] Based on the overlap of associated monitoring data under different matching operating conditions, it is determined whether the matching operating condition belongs to the target operating condition, thereby fully taking into account the differences in the degree of monitoring and processing requirements of the key monitoring data under the matching operating condition under other matching operating conditions, thereby ensuring the reliability of the monitoring and processing of associated monitoring data under matching operating conditions with a higher degree of overlap, and also laying the foundation for generating different monitoring and processing strategies for monitoring data under different matching operating conditions.

[0014] Based on the overlap of the associated monitoring data of the matching operating conditions and different target operating conditions, and the constituent data of the matching operating conditions belonging to the associated monitoring data, the startup processing strategy of the standby node of the associated monitoring data under the matching operating conditions when a voltage deviation occurs is determined, thereby ensuring the reliability of the monitoring and processing of the associated monitoring data of the matching operating conditions with a smaller number of associated monitoring data excluding the associated monitoring data of the target operating conditions. At the same time, it also realizes the determination of differentiated monitoring and processing strategies for the associated monitoring data of the matching operating conditions with a larger number of associated monitoring data excluding the associated monitoring data of the target operating conditions from the perspective of monitoring and processing requirements.

[0015] A further technical solution is that the abnormal power supply voltage period is a power supply period in which the number of moments when the power supply voltage is inconsistent with the rated operating voltage of the HVAC is greater than a preset moment number threshold.

[0016] Specifically, the operating conditions are divided according to the cooling area and cooling capacity of the HVAC. Specifically, the operating conditions are divided based on the cooling area and cooling capacity, and the cooling area range and cooling capacity range corresponding to different operating conditions.

[0017] A further technical solution is that the matching operating condition is an operating condition in which the accumulated operating time in the power supply voltage abnormality period is greater than a preset operating time threshold.

[0018] A further technical solution is to determine the period of time during which the power supply voltage anomaly needs to be considered, specifically including:

[0019] Determine a power supply voltage abnormality period in which no matching operating condition exists based on the operating data of different matching operating conditions during the power supply voltage abnormality period, and use the period as the screening abnormality period;

[0020] Whether the power supply voltage abnormal period needs to be considered is determined by screening the number of abnormal period.

[0021] A further technical solution is to determine that the matching operating condition does not belong to the target operating condition, specifically including:

[0022] Based on the overlap between the associated monitoring data under the matching operating condition and the associated monitoring data under other matching operating conditions, determine the number of matching operating conditions for which the associated monitoring data under the matching operating condition belongs to the associated monitoring data under other matching operating conditions, and use the number as the number of matching operating conditions;

[0023] Determine an average value of the number of working condition matches of different associated monitoring data according to the number of working condition matches of different associated monitoring data;

[0024] Based on an average value of the number of matching operating conditions of different associated monitoring data, it is determined whether the matching operating condition belongs to the target operating condition.

[0025] It can be understood that when the average value of the number of matching operating conditions of different associated monitoring data is greater than a preset matching number threshold, the matching operating condition is determined to be the target operating condition.

[0026] It should be noted that when the matching operating condition belongs to the target operating condition, as long as a voltage deviation occurs, the active start-up process of the standby node of the associated monitoring data of the matching operating condition is directly performed.

[0027] A further technical solution is that the method for determining the activation processing strategy of the standby node of the monitoring data when a voltage deviation occurs is:

[0028] Determine, based on the overlap between the associated monitoring data of the matching operating condition and different target operating conditions, associated monitoring data of the associated monitoring data of the matching operating condition that is not under the target operating condition, and use it as the target monitoring data;

[0029] According to the constituent data of the matching operating conditions of the associated monitoring data belonging to different target monitoring data, the number of matching operating conditions of the associated monitoring data belonging to different target monitoring data is determined, and the number is used as the number of overlapping operating conditions;

[0030] Based on the constituent data of the target monitoring data under the matching operating condition and the number of coincident operating conditions of different target monitoring data, a start-up processing strategy for the standby node of the target monitoring data when a voltage deviation occurs is determined.

[0031] In a second aspect, the present invention provides a computer system comprising: a memory and a processor in communication connection, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-mentioned HVAC operation data analysis and processing method when running the computer program.

[0032] In a third aspect, the present invention provides a computer storage medium having a computer program stored thereon. When the computer program is executed in a computer, the computer is caused to execute the above-mentioned method for analyzing and processing HVAC operation data.

[0033] Other features and advantages will be described in the following description. The objectives and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and drawings.

[0034] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The above and other features and advantages of the present invention will become more apparent by describing in detail example embodiments thereof with reference to the accompanying drawings.

[0036] Figure 1 It is a flow chart of a method for analyzing and processing HVAC operation data;

[0037] Figure 2 It is a flow chart for determining the period of time when abnormal power supply voltage needs to be considered;

[0038] Figure 3 is a flow chart of a method for determining associated monitoring data under matching operating conditions;

[0039] Figure 4 It is a flow chart for determining that the matching operating condition does not belong to the target operating condition;

[0040] Figure 5 It is a framework diagram of a computer system. DETAILED DESCRIPTION

[0041] To help those skilled in the art better understand the technical solutions in this specification, the following will provide a clear and complete description of the technical solutions in the embodiments of this specification, in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of this specification, not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this specification without creative work should fall within the scope of protection of this specification.

[0042] The matching operating condition is an operating condition in which the accumulated operating time during the power supply voltage abnormality period is greater than a preset operating time threshold.

[0043] The abnormal power supply voltage period without matching operating conditions is used as the abnormal screening period. When the number of abnormal screening periods is less than a certain threshold, the abnormal power supply voltage period needs to be considered on this basis.

[0044] The historical number of operations under the matching operating conditions is used as the matching operation number. Based on the energy consumption monitoring data of the device under different matching operation numbers, the average value of the energy consumption monitoring data under different matching operation numbers is determined and used as the reference monitoring data. When the deviation between the energy consumption monitoring data and the reference monitoring data is greater than the preset deviation threshold and the number of matching operations is greater than the preset number threshold, the energy consumption monitoring data of the device is determined to be associated monitoring data.

[0045] Determine the number of matching operating conditions of the associated monitoring data under the matching operating conditions under other matching operating conditions, and use it as the condition matching number. Through the condition matching numbers of different associated monitoring data, determine the average value of the condition matching numbers of different associated monitoring data. When the average value of the condition matching numbers of different associated monitoring data is greater than the preset matching number threshold, the matching operating condition is determined to be the target operating condition.

[0046] When the matching operating condition belongs to the target operating condition, as long as the voltage deviation occurs, the active start processing of the standby node of the associated monitoring data of the matching operating condition is directly performed.

[0047] Based on the overlap of the associated monitoring data of the matching operating conditions and different target operating conditions, the associated monitoring data of the matching operating conditions that are not under the target operating conditions are determined and used as the target monitoring data. When the number of target monitoring data under the matching operating conditions is less than the monitoring data number threshold, then at this time, when a voltage deviation occurs for the target monitoring data under the matching operating conditions, the backup node of the target monitoring data is actively turned on in real time.

[0048] Example 1

[0049] like Figure 1 As shown, the present application provides a method for analyzing and processing HVAC operation data, specifically comprising:

[0050] S1 determines a period of abnormal power supply voltage of the HVAC based on abnormal power supply voltage data during operation of the HVAC, determines a matching operating condition based on operating data of the HVAC operating conditions during different periods of abnormal power supply voltage, and proceeds to the next step when it is determined that the period of abnormal power supply voltage needs to be considered based on the operating data of different matching operating conditions during the period of abnormal power supply voltage;

[0051] Furthermore, the abnormal power supply voltage period is a power supply period in which the number of moments when the power supply voltage is inconsistent with the rated operating voltage of the HVAC is greater than a preset threshold value of the number of moments.

[0052] Specifically, the operating conditions are divided according to the cooling area and cooling capacity of the HVAC. Specifically, the operating conditions are divided based on the cooling area and cooling capacity, and the cooling area range and cooling capacity range corresponding to different operating conditions.

[0053] Furthermore, the matching operating condition is an operating condition in which the accumulated operating time in the power supply voltage abnormality period is greater than a preset operating time threshold.

[0054] Specifically, such as Figure 2 As shown in the figure, the period of abnormal power supply voltage needs to be considered, including:

[0055] Determine a power supply voltage abnormality period in which no matching operating condition exists based on the operating data of different matching operating conditions during the power supply voltage abnormality period, and use the period as the screening abnormality period;

[0056] Whether the power supply voltage abnormal period needs to be considered is determined by screening the number of abnormal period.

[0057] It is understandable that when the number of abnormal screening time periods does not meet the requirements, that is, when it is less than a certain number threshold, then during the abnormal power supply voltage period, the operating conditions of the HVAC are relatively stable. Therefore, in order to optimize the operating conditions in a targeted manner, the abnormal power supply voltage period needs to be considered on this basis.

[0058] Optionally, determining a period of time during which power supply voltage abnormality needs to be considered includes:

[0059] Determining the accumulated running time of the different matching operating conditions during the power supply voltage abnormality period based on the running data of the different matching operating conditions during the power supply voltage abnormality period;

[0060] Determine the total accumulated operation time in the power supply voltage abnormality period according to the sum of accumulated operation time in the power supply voltage abnormality period under different matching operation conditions;

[0061] Whether it is necessary to consider the abnormal power supply voltage period is determined based on the accumulated total operation time.

[0062] It can be understood that if the proportion of the accumulated total running time in the power supply voltage abnormality period is greater than 0.8, it is determined that the power supply voltage abnormality period needs to be considered.

[0063] In another possible embodiment, determining the time period during which the power supply voltage abnormality needs to be considered specifically includes:

[0064] S11 determines the number of matching operating conditions in the power supply voltage abnormality period based on the operating data of different matching operating conditions in the power supply voltage abnormality period;

[0065] It is understandable that, in the above steps, if the total number of the power supply voltage abnormality periods is small, that is, less than a certain number threshold, the power supply voltage abnormality periods do not need to be considered.

[0066] In addition, even if the total number of power supply voltage abnormality periods is not less than a certain number threshold, it is necessary to further determine the number of matching operating conditions in the power supply voltage abnormality period. Specifically, when the number of matching operating conditions is large, that is, greater than the preset operating condition number threshold, in order to achieve optimal processing of the operating state of the matching operating conditions, it is necessary to consider the power supply voltage abnormality period. If the number of matching operating conditions is not large, proceed to the next step.

[0067] S12 determines the operation matching values ​​of different matching operation conditions in the abnormal power supply voltage period based on the accumulated operation time of different matching operation conditions in the abnormal power supply voltage period and in combination with the operation time of different historical operation times of different matching operation conditions in the abnormal power supply voltage period;

[0068] It should be noted that in the above steps, if there is a matching operating condition whose cumulative running time is greater than the preset time threshold, then its running time in the power supply voltage abnormal period is longer. Therefore, in order to optimize the operating status of the operating condition, it is necessary to consider the power supply voltage abnormal period.

[0069] In a possible embodiment, the operation matching value of the matching operation condition in the power supply voltage abnormal period is determined according to the ratio of the operation time of different historical operation times to the cumulative operation time, and the operation matching value of the matching operation condition in the power supply voltage abnormal period is determined according to the product of the proportion of historical operation times whose time proportion is greater than a preset proportion threshold in the historical operation times and the proportion of the cumulative operation time in the power supply voltage abnormal period.

[0070] It can be understood that the value range of the operating match value is between 0 and 1. When there is a matching operating condition in which the operating match value is greater than the preset matching threshold, it is necessary to consider the abnormal power supply voltage period. In addition, if there is no matching operating condition in which the operating match value is greater than the preset matching threshold, it is necessary to further determine whether the number of matching operating conditions in which the operating match value is within the preset matching value range is large.

[0071] If the number of matching operating conditions within the preset matching value range is greater than a certain threshold, there are more matching operating conditions with a higher degree of matching. Therefore, on this basis, it can be directly determined that the power supply voltage abnormality period needs to be considered.

[0072] S13 determines whether the power supply voltage abnormal period needs to be considered according to the number of matching operating conditions and the operation matching values ​​of different matching operating conditions in the power supply voltage abnormal period.

[0073] In a possible embodiment, based on the number of matching operating conditions and the operating matching values ​​of different matching operating conditions during the power supply voltage abnormality period, the sum of the operating matching values ​​of different matching operating conditions is determined and used as the comprehensive matching value.

[0074] It should be noted that when the comprehensive matching value is greater than the preset matching threshold, the abnormal power supply voltage period needs to be considered, while if the comprehensive matching value is not greater than the preset matching threshold, the abnormal power supply voltage period does not need to be considered.

[0075] S2 determines the associated monitoring data under different matching operating conditions based on the change data of the energy consumption monitoring data of different devices under matching operating conditions during the period of abnormal power supply voltage;

[0076] Specifically, such as Figure 3 As shown, the method for determining the associated monitoring data under the matching operating conditions is:

[0077] The historical running times under the matching running condition are used as the matching running times;

[0078] Determining, based on the energy consumption monitoring data of the device at different matching operation times, a change in the energy consumption monitoring data between different matching operation times;

[0079] Based on the variation, it is determined whether the energy consumption monitoring data of the device is associated monitoring data.

[0080] It can be understood that the equipment includes cold and heat source equipment (chillers, boilers, heat pumps, cooling towers), air handling equipment (combined air conditioning boxes, fresh air units, fans, air ducts), terminal equipment (fan coils, radiators, air vents), auxiliary equipment (humidifiers, filters, valves) and intelligent control systems (DDC, BA systems), which achieve temperature and humidity regulation, air purification and airflow organization of the building environment through hot and cold water circulation or refrigerant flow.

[0081] It should be noted that, when the average value of the variation of the energy consumption monitoring data of the device between different matching operation times is greater than a preset variation threshold, the energy consumption monitoring data of the device is determined to be associated monitoring data.

[0082] Optionally, the method for determining the associated monitoring data under the matching operating condition is:

[0083] The historical running times under the matching running condition are used as the matching running times;

[0084] According to the energy consumption monitoring data of the device under different matching operation times, an average value of the energy consumption monitoring data under different matching operation times is determined, and the average value is used as the reference monitoring data;

[0085] Based on the deviation between the energy consumption monitoring data and the reference monitoring data under different matching operation times, it is determined whether the energy consumption monitoring data of the device is associated monitoring data.

[0086] It can be understood that when the deviation between the energy consumption monitoring data and the reference monitoring data is greater than the preset deviation threshold and the number of matching operations does not meet the requirements, that is, greater than the preset number threshold, the energy consumption monitoring data of the device is determined to be associated monitoring data.

[0087] S3, based on the overlap of the associated monitoring data under different matching operating conditions, determines that the matching operating condition belongs to the target operating condition, and proceeds to the next step;

[0088] Specifically, such as Figure 4 As shown, determining that the matching operating condition does not belong to the target operating condition specifically includes:

[0089] Based on the overlap between the associated monitoring data under the matching operating condition and the associated monitoring data under other matching operating conditions, determine the number of matching operating conditions for which the associated monitoring data under the matching operating condition belongs to the associated monitoring data under other matching operating conditions, and use the number as the number of matching operating conditions;

[0090] Determine an average value of the number of working condition matches of different associated monitoring data according to the number of working condition matches of different associated monitoring data;

[0091] Based on an average value of the number of matching operating conditions of different associated monitoring data, it is determined whether the matching operating condition belongs to the target operating condition.

[0092] It can be understood that when the average value of the number of matching operating conditions of different associated monitoring data is greater than a preset matching number threshold, the matching operating condition is determined to be the target operating condition.

[0093] It should be noted that when the matching operating condition belongs to the target operating condition, as long as a voltage deviation occurs, the active start-up process of the standby node of the associated monitoring data of the matching operating condition is directly performed.

[0094] S4 determines the startup processing strategy of the standby node of the associated monitoring data under the matching operating condition when a voltage deviation occurs based on the overlap of the associated monitoring data of the matching operating condition and different target operating conditions, and in combination with the constituent data of the matching operating condition belonging to the associated monitoring data.

[0095] Specifically, the method for determining the activation processing strategy of the standby node of the monitoring data when a voltage deviation occurs is as follows:

[0096] Determine, based on the overlap between the associated monitoring data of the matching operating condition and different target operating conditions, associated monitoring data of the associated monitoring data of the matching operating condition that is not under the target operating condition, and use it as the target monitoring data;

[0097] According to the constituent data of the matching operating conditions of the associated monitoring data belonging to different target monitoring data, the number of matching operating conditions of the associated monitoring data belonging to different target monitoring data is determined, and the number is used as the number of overlapping operating conditions;

[0098] Based on the constituent data of the target monitoring data under the matching operating condition and the number of coincident operating conditions of different target monitoring data, a start-up processing strategy for the standby node of the target monitoring data when a voltage deviation occurs is determined.

[0099] It is understandable that, based on the constituent data of the target monitoring data under the matching operating conditions and the number of overlapping operating conditions of different target monitoring data, determining the activation processing strategy of the standby node of the target monitoring data when a voltage deviation occurs specifically includes:

[0100] When the number of target monitoring data under the matching operating condition is less than the monitoring data number threshold, then at this time, when a voltage deviation occurs in the target monitoring data under the matching operating condition, active start processing of the standby node of the target monitoring data is performed in real time;

[0101] If the number of target monitoring data under the matching operating condition is not less than the monitoring data number threshold, then if the number of target monitoring data under the matching operating condition is within the preset number interval, and if the average number of overlapping working conditions of different target monitoring data is greater than the preset value of the working condition number, then for the target monitoring data under the matching operating condition, when a voltage deviation occurs, the standby node of the target monitoring data is actively turned on in real time;

[0102] If the average value of the number of overlapping working conditions of different target monitoring data is not greater than the preset value of the working condition number or if the number of target monitoring data under the matching operating condition is not within the preset number range, then for the target monitoring data under the matching operating condition, when a voltage deviation occurs, only the standby nodes of the target monitoring data with the number of overlapping working conditions greater than the preset value of the working condition number will be actively turned on when a voltage deviation occurs. The standby nodes of the target monitoring data under the matching operating condition will only be actively turned on if it is determined that the other target monitoring data are in a period of abnormal power supply voltage and in a matching operating condition.

[0103] Further, when the accumulated operation time under the matching operation condition during the power supply voltage abnormality period is greater than a preset time threshold, it is determined to be under the matching operation condition.

[0104] In another embodiment, a method for determining a startup processing strategy of the standby node of the monitoring data when a voltage deviation occurs is:

[0105] S41 determines, based on the overlap of the associated monitoring data of the matching operating condition and different target operating conditions, associated monitoring data of the associated monitoring data of the matching operating condition that is not under the target operating condition, and uses the associated monitoring data as the target monitoring data, obtains the number of target monitoring data under the matching operating condition, and determines the proportion of the target monitoring data in the number of associated monitoring data of the matching operating condition;

[0106] It can be understood that in the above steps, when the number of target monitoring data under the matching operating conditions is less than the monitoring data number threshold, then at this time, when a voltage deviation occurs in the target monitoring data under the matching operating conditions, the standby node of the target monitoring data is actively turned on in real time;

[0107] In addition, if the number of target monitoring data under the matching operating conditions is not less than the monitoring data number threshold, the proportion of the target monitoring data in the number of associated monitoring data of the matching operating conditions is determined at this time. If the proportion of the target monitoring data in the number of associated monitoring data of the matching operating conditions is less than the preset number proportion threshold, then at this time, for the target monitoring data under the matching operating conditions, when a voltage deviation occurs, the standby node of the target monitoring data is actively turned on in real time. In other cases, proceed to the next step.

[0108] S42: determining the number of matching operating conditions for which different target monitoring data belong to the associated monitoring data based on the constituent data of the matching operating conditions for which the different target monitoring data belong to the associated monitoring data, and using the number as the number of overlapping operating conditions; determining the proportion of the target monitoring data in the matching operating conditions, excluding the target monitoring data whose number of overlapping operating conditions is greater than a preset value of the number of operating conditions, in the number of associated monitoring data for the matching operating conditions, and using the proportion as the proportion of other quantities;

[0109] It should also be noted that, in the above steps, if the number of target monitoring data under the matching operating conditions is not within the preset number range, then directly proceed to the next step.

[0110] If the number of target monitoring data under the matching operating conditions is within a preset number range, and if the average number of overlapping operating conditions of different target monitoring data is greater than the preset value of the number of operating conditions, then when a voltage deviation occurs for the target monitoring data under the matching operating conditions, the standby node of the target monitoring data is actively turned on in real time;

[0111] Furthermore, if the average value of the number of overlapping working conditions of different target monitoring data is not greater than the preset value of the working condition number, it is also necessary to determine whether the proportion of other numbers is less than the preset number proportion threshold. If the proportion of other numbers is less than the preset number proportion threshold, then at this time, for the target monitoring data under the matching operating conditions, when a voltage deviation occurs, the backup node of the target monitoring data is actively turned on in real time. In other cases, proceed to the next step.

[0112] S43 determines the startup processing strategy of the standby node of the target monitoring data when a voltage deviation occurs based on the number of target monitoring data under the matching operating condition, the proportion of the target monitoring data in the number of associated monitoring data of the matching operating condition, and the proportion of other quantities.

[0113] It can be understood that in a possible embodiment, the average quantity proportion is determined by the quantity proportion of the target monitoring data in the associated monitoring data of the matching operating condition and the average value of other quantity proportions, and the quantity proportion threshold under the quantity of the target monitoring data is determined based on the quantity of the target monitoring data under the matching operating condition. When the average quantity proportion is greater than the quantity proportion threshold, then at this time, for the target monitoring data under the matching operating condition, when a voltage deviation occurs, only the backup nodes of the target monitoring data whose number of overlapping conditions is greater than the preset value of the condition number are actively turned on when a voltage deviation occurs. For other target monitoring data, the backup nodes of the target monitoring data under the matching operating condition need to be actively turned on only when it is determined that they are in the abnormal power supply voltage period and in the matching operating condition. When the average quantity proportion is not greater than the quantity proportion threshold, then at this time, for the target monitoring data under the matching operating condition, when a voltage deviation occurs,

[0114] Example 2

[0115] Second, as Figure 5 As shown, the present invention provides a computer system, comprising: a memory and a processor that are communicatively connected, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-mentioned HVAC operation data analysis and processing method when running the computer program.

[0116] Example 3

[0117] In a third aspect, the present invention provides a computer storage medium having a computer program stored thereon. When the computer program is executed in a computer, the computer is caused to execute the above-mentioned method for analyzing and processing HVAC operation data.

[0118] The various embodiments in this specification are described in a progressive manner. Similar portions between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the device, apparatus, and non-volatile computer storage medium embodiments are generally similar to the method embodiments, so their descriptions are relatively simplified. For relevant details, refer to the descriptions of the method embodiments.

[0119] The foregoing description of this specification describes specific embodiments. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0120] The foregoing description is merely one or more embodiments of this specification and is not intended to limit this specification. It will be apparent to those skilled in the art that various modifications and variations may be made to one or more embodiments of this specification. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of one or more embodiments of this specification are intended to be within the scope of the claims of this specification.

Claims

1. A method for analyzing and processing HVAC operation data, characterized in that: Specifically include: determining a period of abnormal power supply voltage of the HVAC based on abnormal power supply voltage data during operation of the HVAC, determining a matching operating condition based on operating data of operating conditions of the HVAC during different periods of abnormal power supply voltage, and proceeding to the next step when it is determined that the period of abnormal power supply voltage needs to be considered based on the operating data of different matching operating conditions during the period of abnormal power supply voltage; Determine the associated monitoring data under different matching operating conditions based on the change data of energy consumption monitoring data of different devices under matching operating conditions during the period of abnormal power supply voltage; When it is determined that the matching operating condition belongs to the target operating condition based on the overlap of the associated monitoring data under different matching operating conditions, proceed to the next step; Based on the overlap of the associated monitoring data of the matching operating condition and different target operating conditions, and combined with the constituent data of the matching operating condition belonging to the associated monitoring data, the startup processing strategy of the standby node of the associated monitoring data under the matching operating condition is determined when a voltage deviation occurs.

2. The HVAC operation data analysis and processing method according to claim 1, wherein: The abnormal power supply voltage period is a power supply period in which the number of moments when the power supply voltage is inconsistent with the rated operating voltage of the HVAC is greater than a preset threshold value of the number of moments.

3. The HVAC operation data analysis and processing method according to claim 1, wherein: The operating conditions are divided according to the cooling area and cooling capacity of the HVAC.

4. The HVAC operation data analysis and processing method according to claim 1, wherein: Determine the time period when power supply voltage abnormality should be considered, including: Determine a power supply voltage abnormality period in which no matching operating condition exists based on the operating data of different matching operating conditions during the power supply voltage abnormality period, and use the period as the screening abnormality period; Whether the power supply voltage abnormal period needs to be considered is determined by screening the number of abnormal period.

5. The HVAC operation data analysis and processing method according to claim 1, wherein: The method for determining the associated monitoring data under the matching operating conditions is: The historical running times under the matching running condition are used as the matching running times; Determining, based on the energy consumption monitoring data of the device at different matching operation times, a change in the energy consumption monitoring data between different matching operation times; Based on the variation, it is determined whether the energy consumption monitoring data of the device is associated monitoring data.

6. The HVAC operation data analysis and processing method according to claim 5, wherein: When the average value of the variation of the energy consumption monitoring data of the device between different matching operation times is greater than a preset variation threshold, the energy consumption monitoring data of the device is determined to be associated monitoring data.

7. The HVAC operation data analysis and processing method according to claim 1, wherein: Determining that the matching operating condition belongs to the target operating condition specifically includes: Based on the overlap between the associated monitoring data under the matching operating condition and the associated monitoring data under other matching operating conditions, determine the number of matching operating conditions for which the associated monitoring data under the matching operating condition belongs to the associated monitoring data under other matching operating conditions, and use the number as the number of matching operating conditions; Determine an average value of the number of working condition matches of different associated monitoring data according to the number of working condition matches of different associated monitoring data; Based on an average value of the number of matching operating conditions of different associated monitoring data, it is determined whether the matching operating condition belongs to the target operating condition.

8. The HVAC operation data analysis and processing method according to claim 1, wherein: The method for determining the activation processing strategy of the standby node associated with the monitoring data when a voltage deviation occurs is: Determine, based on the overlap between the associated monitoring data of the matching operating condition and different target operating conditions, associated monitoring data of the associated monitoring data of the matching operating condition that is not under the target operating condition, and use it as the target monitoring data; According to the constituent data of the matching operating conditions of the associated monitoring data belonging to different target monitoring data, the number of matching operating conditions of the associated monitoring data belonging to different target monitoring data is determined, and the number is used as the number of overlapping operating conditions; Based on the constituent data of the target monitoring data under the matching operating condition and the number of coincident operating conditions of different target monitoring data, a start-up processing strategy for the standby node of the target monitoring data when a voltage deviation occurs is determined.

9. A computer system comprising: A memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that when the processor runs the computer program, it executes a HVAC operation data analysis and processing method as described in any one of claims 1-8.

10. A computer storage medium having a computer program stored thereon, which, when executed in a computer, causes the computer to execute the HVAC operation data analysis and processing method according to any one of claims 1 to 8.

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