Heating ventilation air conditioner operation data analysis processing method and system and storage medium

Abstract

The invention provides a heating ventilation air conditioner operation data analysis processing method and system and a storage medium, and belongs to the technical field of data processing, and the method specifically comprises the steps: determining associated monitoring data under different matched operation conditions according to the change data of the energy consumption monitoring data of different devices under the matched operation conditions in a power supply voltage abnormal time period, on the basis of the coincidence condition of the associated monitoring data under different matched operation conditions, when it is determined that the matched operation conditions belong to the target operation conditions, the matching operation conditions of the matched operation conditions and the associated monitoring data of the different target operation conditions are overlapped, and composition data of the matched operation conditions belonging to the associated monitoring data are combined. And determining a starting processing strategy of the standby node of the associated monitoring data under the matched operation condition when the voltage deviation occurs, so that the timeliness of obtaining and processing the monitoring processing of the operation data of the heating ventilation air conditioner is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of data processing, and particularly relates to a method, a system and a storage medium for analyzing and processing operation data of a heating, ventilation and air conditioning (HVAC) system. Background Art

[0002] During the operation of an HVAC system, especially a large-scale HVAC system, there is a large amount of operation data. This operation data often truly reflects the real operation state of the HVAC system. By analyzing and processing the operation data of the HVAC system, the accurate control of the operation state of the HVAC system can be achieved, and then operation strategies can be generated accordingly.

[0003] Therefore, in order to analyze and process the operation data of the HVAC system, in the existing technical solutions, the operation data of the HVAC equipment is often cleaned and classified, and then the equipment faults of the HVAC system are identified and processed to judge the real operation state of the HVAC equipment. Specifically, similar technical solutions are given in 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". However, the above technical solutions have the following technical problems: When analyzing and processing the operation data of the HVAC system, on days with too high electricity load, abnormal power supply voltage periods often occur. During the abnormal voltage periods, due to the deviation of the operation scenarios of different devices in the HVAC system and the unstable operation of the devices, there are often abnormal energy consumption amounts. Therefore, the demand for optimizing the energy consumption of the HVAC system is relatively high. Thus, how to determine the active opening strategy of the alternative monitoring nodes for the energy consumption monitoring data of different devices, so as to timely and reliably collect and process the energy consumption monitoring data during the abnormal power supply voltage periods, and then lay a foundation for optimizing the energy consumption control strategy of the HVAC system, has become a technical problem to be solved urgently.

[0004] To solve the above technical problems, the present application provides a method, a system and a storage medium for analyzing and processing operation data of an HVAC system. Summary of the Invention

[0005] To achieve the object of the present invention, the present invention adopts the following technical solutions: Specifically, the present application provides a method for analyzing and processing operation data of an HVAC system, which specifically includes: S1 determines the abnormal power supply voltage period of the HVAC based on the abnormal data of the power supply voltage during the operation of the HVAC, determines the matching operating conditions based on the operating data of the operating conditions of the HVAC in different abnormal power supply voltage periods, and based on the operating data of different matching operating conditions in the abnormal power supply voltage period, when it is determined that the abnormal power supply voltage period needs to be considered, proceed to the next step; S2 determines the associated monitoring data under different matching operating conditions based on the variation data of the energy consumption monitoring data of different devices under the matching operating conditions during the abnormal power supply voltage period; S3 proceeds to the next step when it is determined that the matching operating condition belongs to the target operating condition based on the coincidence of the associated monitoring data under different matching operating conditions; S4 determines the opening processing strategy of the standby node of the associated monitoring data under the matching operating condition when a voltage deviation occurs based on the coincidence of the associated monitoring data of the matching operating condition and different target operating conditions and in combination with the composition data of the matching operating condition belonging to the associated monitoring data.

[0006] The beneficial effects of the present invention are as follows: Based on the coincidence of the associated monitoring data under different matching operating conditions, it is determined whether the matching operating condition belongs to the target operating condition, thus fully considering the difference in the monitoring and processing requirements of the key monitoring data under the matching operating condition in other matching operating conditions, thereby ensuring the reliability of the monitoring and processing of the associated monitoring data under the matching operating condition with a higher coincidence degree, and at the same time laying a foundation for generating differential monitoring and processing strategies for the monitoring data under different matching operating conditions.

[0007] Based on the coincidence of the associated monitoring data of the matching operating condition and different target operating conditions and the composition data of the matching operating condition belonging to the associated monitoring data, the opening processing strategy of the standby node of the associated monitoring data under the matching operating condition when a voltage deviation occurs is determined, which not only ensures the reliability of the monitoring and processing of the associated monitoring data under the matching operating condition with a smaller number of associated monitoring data other than the associated monitoring data of the target operating condition, but also realizes the determination of the differential monitoring and processing strategy for the associated monitoring data under the matching operating condition with a larger number of associated monitoring data other than the associated monitoring data of the target operating condition from the perspective of monitoring and processing requirements.

[0008] 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.

[0009] Specifically, the operating conditions are divided according to the cooling area and cooling capacity of the HVAC system. Specifically, based on the cooling area and cooling capacity, and based on the cooling area range and cooling capacity range corresponding to different operating conditions, the division process of the operating conditions is carried out.

[0010] A further technical solution is that the matching operating condition is an operating condition in which the cumulative operating duration during the abnormal power supply voltage period is greater than the preset operating duration threshold.

[0011] A further technical solution is that determining the abnormal power supply voltage period that needs to be considered specifically includes: Based on the operating data of different matching operating conditions during the abnormal power supply voltage period, determine the abnormal power supply voltage period without a matching operating condition, and use it as the screened abnormal period; Determine whether to consider the abnormal power supply voltage period based on the number of the screened abnormal periods.

[0012] A further technical solution is that determining that the matching operating condition does not belong to the target operating condition specifically includes: Based on the coincidence of 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 to which the associated monitoring data under the matching operating condition belongs under other matching operating conditions, and use it as the condition matching number; Calculate the average value of the condition matching numbers of different associated monitoring data through the condition matching numbers of different associated monitoring data; Based on the average value of the condition matching numbers of different associated monitoring data, determine whether the matching operating condition belongs to the target operating condition.

[0013] It can be understood that when the average value of the condition matching numbers of different associated monitoring data is greater than the preset matching number threshold, it is determined that the matching operating condition is the target operating condition.

[0014] It should be noted that when the matching operating condition belongs to the target operating condition, as long as a voltage deviation occurs, the standby node of the associated monitoring data of the matching operating condition is directly activated.

[0015] 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: Based on the coincidence of the associated monitoring data of the matching operating condition and different target operating conditions, determine the 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; Determine the number of matching operating conditions for different target monitoring data that belong to the constituent data of the associated monitoring data, and use it as the number of overlapping conditions; Based on the constituent data of the target monitoring data under the matching operating conditions and the number of overlapping conditions of different target monitoring data, determine the activation processing strategy of the standby node of the target monitoring data when a voltage deviation occurs.

[0016] In a second aspect, the present invention provides a computer system, including: a memory and a processor connected by communication, and a computer program stored on the memory and capable of running on the processor. When the processor runs the computer program, it executes the above-mentioned method for analyzing and processing HVAC operation data.

[0017] In a third aspect, the present invention provides a computer storage medium, on which a computer program is stored. When the computer program is executed on a computer, the computer is made to execute the above-mentioned method for analyzing and processing HVAC operation data.

[0018] Other features and advantages will be described in the subsequent description. The objectives and other advantages of the present invention are realized and obtained by the structures specifically pointed out in the description and the drawings.

[0019] To make the above objectives, features, and advantages of the present invention more obvious and understandable, the following specifically enumerates preferred embodiments and, in conjunction with the accompanying drawings, makes a detailed description as follows. Description of the Drawings

[0020] By referring to the drawings and describing its exemplary embodiments in detail, the above and other features and advantages of the present invention will become more obvious.

[0021] Figure 1 is a flowchart of a method for analyzing and processing HVAC operation data; Figure 2 is a flowchart for determining the abnormal power supply voltage period that needs to be considered; Figure 3 is a flowchart of a method for determining associated monitoring data under matching operating conditions; Figure 4 is a flowchart for determining that the matching operating condition does not belong to the target operating condition; Figure 5 is a framework diagram of a computer system. Detailed Embodiments

[0022] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of this specification. Obviously, the described embodiments are only a part of the embodiments of this specification, rather than all the embodiments. Based on the embodiments of this specification, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of this specification.

[0023] The matching operating condition is the operating condition where the cumulative operating duration during the abnormal power supply voltage period is greater than the preset operating duration threshold.

[0024] Take the abnormal power supply voltage period without a matching operating condition as the screened abnormal period. When the number of screened abnormal periods is less than a certain number threshold, the abnormal power supply voltage period needs to be considered on this basis.

[0025] Take the historical operating times under the matching operating condition as the matching operating times. According to the energy consumption monitoring data of the device under different matching operating times, determine the average value of the energy consumption monitoring data under different matching operating times, and take it as the reference monitoring data. When the number of matching operating times with the deviation amount between the energy consumption monitoring data and the reference monitoring data greater than the preset deviation amount threshold is greater than the preset number threshold, at this time, determine the energy consumption monitoring data of the device as the associated monitoring data.

[0026] Determine the number of matching operating conditions where the associated monitoring data under the matching operating condition belongs to the associated monitoring data under other matching operating conditions, and take 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, determine the matching operating condition as the target operating condition.

[0027] When the matching operating condition belongs to the target operating condition, as long as a voltage deviation occurs, directly perform the active opening process of the standby node of the associated monitoring data of the matching operating condition. Based on the coincidence of the matching operating condition and the associated monitoring data of different target operating conditions, determine the associated monitoring data in the matching operating condition that is not under the target operating condition, and take it as the target monitoring data. When the number of target monitoring data under the matching operating condition is less than the monitoring data number threshold, at this time, for the target monitoring data under the matching operating condition when a voltage deviation occurs, the active opening process of the standby node of the target monitoring data is performed in real time.

[0028] Embodiment 1 Such as Figure 1As shown in the figure, the present application provides a method for analyzing and processing the operation data of a heating, ventilation, and air conditioning (HVAC) system, specifically including: S1: Determine the abnormal power supply voltage period of the HVAC based on the abnormal data of the power supply voltage during the operation of the HVAC. Based on the operation data of the operation conditions of the HVAC during different abnormal power supply voltage periods, determine the matching operation conditions. Based on the operation data of different matching operation conditions during the abnormal power supply voltage period, when it is necessary to consider the abnormal power supply voltage period, proceed to the next step; Further, 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 operation voltage of the HVAC is greater than a preset moment number threshold.

[0029] Specifically, the operation conditions are divided according to the cooling area and cooling capacity of the HVAC. Specifically, based on the cooling area and cooling capacity, and based on the cooling area range and cooling capacity range corresponding to different operation conditions, perform the division processing of the operation conditions.

[0030] Further, the matching operation condition is an operation condition in which the cumulative operation duration during the abnormal power supply voltage period is greater than a preset operation duration threshold.

[0031] Specifically, as Figure 2 shown in the figure, determining that it is necessary to consider the abnormal power supply voltage period specifically includes: Based on the operation data of different matching operation conditions during the abnormal power supply voltage period, determine the abnormal power supply voltage period without a matching operation condition, and use it as the screened abnormal period; Based on the number of the screened abnormal periods, determine whether it is necessary to consider the abnormal power supply voltage period.

[0032] It can be understood that when the number of the screened abnormal periods does not meet the requirements, that is, when it is less than a certain number threshold, at this time, the operation conditions of the HVAC are relatively stable during the abnormal power supply voltage period. Therefore, in order to optimize the operation conditions specifically, it is necessary to consider the abnormal power supply voltage period on this basis.

[0033] Optionally, determining that it is necessary to consider the abnormal power supply voltage period specifically includes: Based on the operation data of different matching operation conditions during the abnormal power supply voltage period, determine the cumulative operation duration of different matching operation conditions during the abnormal power supply voltage period; Based on the sum of the cumulative operation durations of different matching operation conditions during the abnormal power supply voltage period, determine the total cumulative operation duration during the abnormal power supply voltage period; Based on the total cumulative operation duration, determine whether it is necessary to consider the abnormal power supply voltage period.

[0034] It can be understood that if the proportion of the cumulative total running duration in the power supply voltage abnormal period is above 0.8, it is determined that the power supply voltage abnormal period needs to be considered.

[0035] In another possible embodiment, determining that the power supply voltage abnormal period needs to be considered specifically includes: S11 Determine the number of matching operating conditions in the power supply voltage abnormal period based on the operating data of different matching operating conditions in the power supply voltage abnormal period; It can be understood that in the above steps, if the total number of power supply voltage abnormal periods is small, that is, less than a certain quantity threshold, there is no need to consider the power supply voltage abnormal period at this time.

[0036] In addition, even if the total number of power supply voltage abnormal periods is not less than a certain quantity threshold, it is also necessary to further determine the number of matching operating conditions in the power supply voltage abnormal period. Specifically, when the number of matching operating conditions is large, that is, greater than the preset operating condition quantity threshold, in order to optimize the operating state of the matching operating conditions, it is necessary to consider the power supply voltage abnormal period at this time. If the number of matching operating conditions is not large, proceed to the next step.

[0037] S12 Determine the running matching value of different matching operating conditions in the power supply voltage abnormal period based on the cumulative running duration of different matching operating conditions in the power supply voltage abnormal period and in combination with the running duration of different historical running times of different matching operating conditions in the power supply voltage abnormal period; It should be noted that in the above steps, if there is a matching operating condition with a cumulative running duration greater than the preset duration threshold, at this time its running duration in the power supply voltage abnormal period is relatively long. Therefore, in order to optimize the operating state of the operating condition, it is necessary to consider the power supply voltage abnormal period.

[0038] In a possible embodiment, the running matching value of the matching operating condition in the power supply voltage abnormal period is determined according to the ratio of the running duration of different historical running times to the cumulative running duration, determine the duration proportion of different historical running times, and determine the running matching value of the matching operating condition in the power supply voltage abnormal period according to the product of the proportion of historical running times with a duration proportion greater than the preset proportion threshold in the historical running times and the proportion of the cumulative running duration in the power supply voltage abnormal period.

[0039] It can be understood that the value range of the operating matching value is between 0 and 1. When there is a matching operating condition where the operating matching value is greater than the preset matching threshold, the abnormal power supply voltage period needs to be considered at this time. In addition, if there is no matching operating condition where the operating matching value is greater than the preset matching threshold, it is necessary to further determine whether the number of matching operating conditions within the preset matching value range of the operating matching value is large.

[0040] If the number of matching operating conditions within the preset matching value range of the operating matching value is greater than a certain quantity threshold, the number of matching operating conditions with a higher matching degree is large at this time. Therefore, on this basis, it can be directly determined that the abnormal power supply voltage period needs to be considered.

[0041] S13 Determine whether to consider the abnormal power supply voltage period based on the number of matching operating conditions and the operating matching values of different matching operating conditions during the abnormal power supply voltage period.

[0042] In a possible embodiment, based on the number of matching operating conditions and the operating matching values of different matching operating conditions during the abnormal power supply voltage period, determine the sum of the operating matching values of different matching operating conditions and use it as the comprehensive matching value.

[0043] 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.

[0044] S2 Determine the associated monitoring data under different matching operating conditions based on the variation data of the energy consumption monitoring data of different devices under the matching operating conditions during the abnormal power supply voltage period; Specifically, as Figure 3 shown, the method for determining the associated monitoring data under the matching operating conditions is: Take the historical operating times under the matching operating conditions as the matching operating times; According to the energy consumption monitoring data of the device under different matching operating times, determine the variation amount of the energy consumption monitoring data between different matching operating times; Based on the variation amount, determine whether the energy consumption monitoring data of the device is associated monitoring data.

[0045] It is understandable that the device includes cold and heat source equipment (chillers, boilers, heat pumps, cooling towers), air handling equipment (air handling units, fresh air units, fans, air ducts), terminal equipment (fan coils, radiators, air vents), auxiliary equipment (humidifiers, filters, valves) and intelligent control systems (DDCs, BA systems), and realizes the regulation of temperature and humidity, air purification and air flow organization of the building environment through cold and hot water circulation or refrigerant flow.

[0046] It should be noted that when the average value of the change amount of the energy consumption monitoring data between different matching operation times of the device is greater than the preset change threshold, it is determined that the energy consumption monitoring data of the device is associated monitoring data.

[0047] Optionally, the method for determining the associated monitoring data under the matching operation condition is as follows: Take the historical operation times under the matching operation condition as the matching operation times; According to the energy consumption monitoring data of the device under different matching operation times, determine the average value of the energy consumption monitoring data under different matching operation times, and take it as the reference monitoring data; Based on the deviation amount between the energy consumption monitoring data and the reference monitoring data under different matching operation times, determine whether the energy consumption monitoring data of the device is associated monitoring data.

[0048] It is understandable that when the number of matching operation times with the deviation amount between the energy consumption monitoring data and the reference monitoring data greater than the preset deviation amount threshold does not meet the requirement, that is, greater than the preset number threshold, at this time, it is determined that the energy consumption monitoring data of the device is associated monitoring data.

[0049] Based on the coincidence situation of the associated monitoring data under different matching operation conditions, when it is determined that the matching operation condition belongs to the target operation condition, enter the next step; Specifically, as Figure 4 shown, determining that the matching operation condition does not belong to the target operation condition specifically includes: Based on the coincidence situation of the associated monitoring data under the matching operation condition and the associated monitoring data under other matching operation conditions, determine the number of matching operation conditions to which the associated monitoring data under the matching operation condition belongs to the associated monitoring data under other matching operation conditions, and take it as the condition matching number; Determine the average value of the condition matching numbers of different associated monitoring data through the condition matching numbers of different associated monitoring data; Based on the average value of the condition matching numbers of different associated monitoring data, determine whether the matching operation condition belongs to the target operation condition.

[0050] It can be understood that when the average value of the number of working condition matches of different associated monitoring data is greater than the preset matching number threshold, the matching operating condition is determined as the target operating condition.

[0051] 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 opening process of the standby node of the associated monitoring data of the matching operating condition is directly performed.

[0052] S4 determines the opening processing strategy of the standby node of the associated monitoring data under the matching operating condition when a voltage deviation occurs based on the coincidence of the matching operating condition and the associated monitoring data of different target operating conditions, and in combination with the constituent data of the matching operating condition belonging to the associated monitoring data.

[0053] Specifically, the method for determining the opening processing strategy of the standby node of the monitoring data when a voltage deviation occurs is as follows: Based on the coincidence of the matching operating condition and the associated monitoring data of different target operating conditions, determine the associated monitoring data of the associated monitoring data that the matching operating condition is not under the target operating condition, and use it as the target monitoring data; According to the constituent data of the matching operating condition to which different target monitoring data belong in the associated monitoring data, determine the number of the matching operating conditions to which different target monitoring data belong in the associated monitoring data, and use it as the number of coincident working conditions; Based on the constituent data of the target monitoring data under the matching operating condition and the number of coincident working conditions of different target monitoring data, determine the opening processing strategy of the standby node of the target monitoring data when a voltage deviation occurs.

[0054] It can be understood that determining the opening processing strategy of the standby node of the target monitoring data when a voltage deviation occurs based on the constituent data of the target monitoring data under the matching operating condition and the number of coincident working conditions of different target monitoring data specifically includes: When the number of target monitoring data under the matching operating condition is less than the monitoring data number threshold, then when a voltage deviation occurs for the target monitoring data under the matching operating condition, the active opening process of the standby node of the target monitoring data is performed in real time; If the number of target monitoring data under the matching operating condition is not less than the monitoring data number threshold, then when the number of target monitoring data under the matching operating condition is within the preset number range, and when the average value of the number of coincident working conditions of different target monitoring data is greater than the working condition number preset value, then when a voltage deviation occurs for the target monitoring data under the matching operating condition, the active opening process of the standby node of the target monitoring data is performed in real time; 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 number of working conditions, or if the number of target monitoring data under the matching operating conditions is not within the preset number range, then when there is a voltage deviation in the target monitoring data under the matching operating conditions, only the standby nodes of the target monitoring data with the number of overlapping working conditions greater than the preset value of the number of working conditions are actively turned on when there is a voltage deviation. For other target monitoring data, the standby nodes of the target monitoring data under the matching operating conditions need to be actively turned on only when it is determined that it is in the abnormal power supply voltage period and under the matching operating conditions.

[0055] Further, when the cumulative operating duration under the matching operating conditions in the abnormal power supply voltage period is greater than the preset duration threshold, it is determined that it is under the matching operating conditions.

[0056] In another embodiment, the method for determining the opening processing strategy of the standby node of the monitoring data when there is a voltage deviation is as follows: S41 Determine the associated monitoring data of the matching operating conditions that are not under the target operating conditions based on the overlap of the matching operating conditions and the associated monitoring data of different target operating conditions, and use it as the target monitoring data. Obtain the number of target monitoring data under the matching operating conditions, and determine the proportion of the number of target monitoring data in the associated monitoring data of the matching operating conditions; 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 quantity threshold, then when there is a voltage deviation in the target monitoring data under the matching operating conditions, the standby nodes of the target monitoring data are actively turned on in real time; In addition, if the number of target monitoring data under the matching operating conditions is not less than the monitoring data quantity threshold, at this time, determine the proportion of the number of target monitoring data in the associated monitoring data of the matching operating conditions. If the proportion of the number of target monitoring data in the associated monitoring data of the matching operating conditions is less than the preset quantity proportion threshold, then when there is a voltage deviation in the target monitoring data under the matching operating conditions, the standby nodes of the target monitoring data are actively turned on in real time, and in other cases, go to the next step.

[0057] S42 Determine the number of matching operating conditions to which different target monitoring data belong to the associated monitoring data based on the composition data of the matching operating conditions to which different target monitoring data belong to the associated monitoring data, and use it as the number of overlapping working conditions. Determine the proportion of the number of target monitoring data in the associated monitoring data of the matching operating conditions excluding the target monitoring data with the number of overlapping working conditions greater than the preset value of the number of working conditions, and use it as the other quantity proportion; In addition, it should 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, the process directly proceeds to the next step.

[0058] If the number of target monitoring data under the matching operating conditions is within the preset number range, and at this time if the average value of the 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 in the target monitoring data under the matching operating conditions, the active opening process of the standby nodes of the target monitoring data is performed in real time; Furthermore, if the average value of the number of overlapping operating conditions of different target monitoring data is not greater than the preset value of the number of operating conditions, it is also necessary to determine whether the other quantity ratio is less than the preset quantity ratio threshold. If the other quantity ratio is less than the preset quantity ratio threshold, then when a voltage deviation occurs in the target monitoring data under the matching operating conditions, the active opening process of the standby nodes of the target monitoring data is performed in real time, and in other cases, the process proceeds to the next step.

[0059] S43 Determine the opening processing strategy of the standby nodes of the target monitoring data when a voltage deviation occurs based on the number of target monitoring data under the matching operating conditions, the quantity ratio of the associated monitoring data of the target monitoring data under the matching operating conditions, and the other quantity ratio.

[0060] It can be understood that in a possible embodiment, the average quantity ratio is determined based on the average value of the quantity ratio of the associated monitoring data of the target monitoring data under the matching operating conditions and the other quantity ratio. Based on the number of target monitoring data under the matching operating conditions, the quantity ratio threshold under the number of the target monitoring data is determined. When the average quantity ratio is greater than the quantity ratio threshold, then when a voltage deviation occurs in the target monitoring data under the matching operating conditions, only the standby nodes of the target monitoring data with the number of overlapping operating conditions greater than the preset value of the number of operating conditions are actively opened when a voltage deviation occurs. For other target monitoring data, the active opening process of the standby nodes of the target monitoring data under the matching operating conditions is required only when it is determined that it is in the abnormal power supply voltage period and under the matching operating conditions. When the average quantity ratio is not greater than the quantity ratio threshold, then when a voltage deviation occurs in the target monitoring data under the matching operating conditions.

[0061] Embodiment 2 In a second aspect, as Figure 5 shown, the present invention provides a computer system, including: a memory and a processor connected by communication, and a computer program stored on the memory and capable of running on the processor. When the processor runs the computer program, it executes the above-mentioned method for analyzing and processing the operation data of a heating, ventilation, and air conditioning system.

[0062] Example 3 In a third aspect, the present invention provides a computer storage medium, on which a computer program is stored. When the computer program is executed on a computer, the computer is made to execute the above-described method for analyzing and processing HVAC operation data.

[0063] Each embodiment in this specification is described in a progressive manner. For the same or similar parts among the embodiments, reference can be made to each other. The key point of each embodiment is to illustrate the differences from other embodiments. In particular, for the embodiments of the device, equipment, and non-volatile computer storage medium, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiments.

[0064] The above describes specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve the desired result. Additionally, the processes depicted in the figures do not necessarily require the specific order or sequential order shown to achieve the desired result. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0065] The above is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included within the scope of the claims of this specification.

Claims

1. A method for analyzing and processing operation data of a heating, ventilation and air conditioning system, characterized in that, Specifically, it includes: Determine the abnormal power supply voltage period of the HVAC based on the abnormal data of the power supply voltage during the operation of the HVAC. Determine the matching operating conditions based on the operating data of the HVAC operating conditions during different abnormal power supply voltage periods. Based on the operating data of different matching operating conditions during the abnormal power supply voltage period, when it is determined that the abnormal power supply voltage period needs to be considered, proceed to the next step; Determine the associated monitoring data under different matching operating conditions based on the change data of the energy consumption monitoring data of different devices under the matching operating conditions during the abnormal power supply voltage period; Based on the coincidence of the associated monitoring data under different matching operating conditions, when it is determined that the matching operating condition belongs to the target operating condition, proceed to the next step; Based on the coincidence of the associated monitoring data of the matching operating condition and different target operating conditions, and combined with the composition data of the matching operating condition belonging to the associated monitoring data, determine the opening processing strategy of the standby node of the associated monitoring data under the matching operating condition when a voltage deviation occurs.

2. The method for analyzing and processing HVAC operation data 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 the preset moment number threshold.

3. The method for analyzing and processing the operation data of the heating, ventilation and air conditioning system according to claim 1, characterized in that, The operating conditions are divided according to the cooling area and cooling capacity of the HVAC.

4. The method for analyzing and processing the operation data of the heating, ventilation and air conditioning system according to claim 1, wherein, Determining that the abnormal power supply voltage period needs to be considered specifically includes: Based on the operating data of different matching operating conditions during the abnormal power supply voltage period, determine the abnormal power supply voltage period without a matching operating condition, and use it as the screened abnormal period; Determine whether the abnormal power supply voltage period needs to be considered based on the number of the screened abnormal periods.

5. The method for analyzing and processing the operation data of the heating, ventilation and air conditioning system according to claim 1, characterized in that, The method for determining the associated monitoring data under the matching operating condition is: Take the historical operation times under the matching operating condition as the matching operation times; According to the energy consumption monitoring data of the device under different matching operation times, determine the change amount of the energy consumption monitoring data between different matching operation times; Based on the change amount, determine whether the energy consumption monitoring data of the device is the associated monitoring data.

6. The method for analyzing and processing the operation data of the heating, ventilation and air conditioning system according to claim 5, wherein, When the average value of the change amount of the energy consumption monitoring data of the device between different matching operation times is greater than the preset change threshold, it is determined that the energy consumption monitoring data of the device is the associated monitoring data.

7. The method for analyzing and processing the operation data of the HVAC as claimed in claim 1, wherein Determining that the matching operating condition does not belong to the target operating condition specifically includes: Based on the coincidence of 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 to which the associated monitoring data under the matching operating condition belongs to the associated monitoring data under other matching operating conditions, and use it as the number of condition matches; Determine the average value of the number of condition matches of different associated monitoring data through the number of condition matches of different associated monitoring data; Based on the average value of the number of condition matches of different associated monitoring data, determine whether the matching operating condition belongs to the target operating condition.

8. The method for analyzing and processing the operation data of the heating, ventilation and air conditioning system according to claim 1, characterized in that, The method for determining the opening processing strategy of the standby node of the monitoring data when a voltage deviation occurs is: Based on the coincidence of the associated monitoring data of the matching operating condition and different target operating conditions, determine 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 condition to which different target monitoring data belong to the associated monitoring data, determine the number of matching operating conditions to which different target monitoring data belong to the associated monitoring data, and use it as the number of coincident 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, determine the opening processing strategy of the standby node of the target monitoring data when a voltage deviation occurs.

9. A computer system, comprising: A memory and a processor connected by communication, and a computer program stored on the memory and capable of running on the processor, wherein when the processor runs the computer program, it executes a method for analyzing and processing HVAC operation data according to any one of claims 1-8.

10. A computer storage medium, on which a computer program is stored, and when the computer program is executed in a computer, the computer is made to execute a method for analyzing and processing HVAC operation data according to any one of claims 1-8.

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