Energy management index calculation method and system, electronic equipment and medium

Abstract

The embodiment of the invention provides an energy management index calculation method and system, electronic equipment and a medium. The method comprises the following steps: acquiring a subordinate management relationship and an equipment internet-of-things relationship of a target integrated energy management party; the subordinate management relationship is used for representing a subordinate management party of the target integrated energy management party; the equipment internet-of-things relationship is used for representing the energy management equipment associated with the lower-level management party; obtaining current equipment operation data and historical equipment operation data of the plurality of energy management equipment based on the subordinate management relationship and the equipment internet-of-things relationship; the equipment operation data is used for representing the equipment performance of the energy management equipment; according to a preset index calculation parameter construction rule, performing data normalization processing on the current equipment operation data and the historical equipment operation data to obtain an index calculation parameter; and performing index calculation according to a preset index calculation model and the index calculation parameters to obtain an energy management index of the target comprehensive energy management party. Therefore, the calculation accuracy of the energy management index is improved.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to an energy management indicator calculation method, system, electronic equipment and medium. Background Art

[0002] An integrated energy manager is a manager that provides energy management solutions. It is responsible for integrating various types of energy resources and providing energy management solutions for each type of energy resource, thereby improving energy efficiency. The energy management indicators of an integrated energy manager are used to characterize the energy efficiency of the integrated energy manager. By calculating multiple energy management indicators of an integrated energy manager, the energy management capabilities and efficiency of the integrated energy manager can be effectively examined.

[0003] However, since the calculation of energy management indicators involves the calculation of various data, the calculation complexity of energy management indicators is relatively high, and the accuracy of the calculated energy management indicators is relatively poor.

[0004] Therefore, how to solve the problem of poor calculation accuracy of energy management indicators for comprehensive energy management in the prior art has become a technical problem that technical personnel in this field need to solve urgently. Summary of the invention

[0005] Based on the above problems, in order to improve the calculation accuracy of energy management indicators for comprehensive energy management parties, the embodiments of the present application provide an energy management indicator calculation method, system, electronic device and medium.

[0006] The embodiments of the present application disclose the following technical solutions:

[0007] In a first aspect, an embodiment of the present application provides a method for calculating an energy management index, including:

[0008] Obtaining the subordinate management relationship and device IoT relationship of the target comprehensive energy manager; the subordinate management relationship is used to represent the subordinate manager of the target comprehensive energy manager; the device IoT relationship is used to represent the energy management device associated with the subordinate manager;

[0009] Based on the subordinate management relationship and the device IoT relationship, current device operation data and historical device operation data of the plurality of energy management devices are obtained; the device operation data is used to characterize the device performance of the energy management device;

[0010] According to the preset indicator calculation parameter construction rules, the current equipment operation data and the historical equipment operation data are normalized to obtain the indicator calculation parameters;

[0011] The index calculation is performed according to the preset index calculation model and the index calculation parameters to obtain the energy management index of the target comprehensive energy management party.

[0012] In a possible implementation, the equipment operation data of the energy management device is obtained based on the data synchronized by the source database; the source database includes: a change operation recording module; the change operation recording module is used to parse the data change event of the equipment operation data when the equipment operation data in the source database is changed, and record the parsed data change event in the data warehouse;

[0013] The acquiring of device operation data of a plurality of energy management devices based on the subordinate management relationship and the device IoT relationship includes:

[0014] Based on the subordinate management relationship and the device IoT relationship, the device operation data of the plurality of energy management devices are extracted from the data synchronization warehouse.

[0015] In a possible implementation, the constructing rule according to the preset indicator calculation parameter, performing data normalization processing on the current device operation data and the historical device operation data, and obtaining the indicator calculation parameter, includes:

[0016] Performing time series data synchronization processing on the current device operation data and the historical device operation data to obtain the device operation data after time series processing; the device operation data after time series processing includes the device operation data of the current time series and the device operation data of the historical time series;

[0017] The index calculation parameters are obtained by unifying the data structure based on the equipment operation data after time series processing.

[0018] In a possible implementation, the change operation recording module is used to synchronously record the parsed data change event into the data warehouse through CDC technology.

[0019] In a possible implementation, the energy management index is stored in an index database; after obtaining the energy management index of the target comprehensive energy manager, the method further includes:

[0020] In response to the indicator query instruction, an energy management indicator corresponding to the indicator query instruction is obtained from the indicator database through a preset service interface.

[0021] In a possible implementation, the method further includes:

[0022] Perform call analysis on the call status of the preset service interface to obtain interface analysis data.

[0023] In a second aspect, an embodiment of the present application provides an energy management indicator calculation system, including:

[0024] A first acquisition module is used to acquire the subordinate management relationship and device IoT relationship of the target comprehensive energy manager; the subordinate management relationship is used to represent the subordinate manager of the target comprehensive energy manager; the device IoT relationship is used to represent the energy management device associated with the subordinate manager;

[0025] A second acquisition module is used to acquire current device operation data and historical device operation data of a plurality of the energy management devices based on the subordinate management relationship and the device IoT relationship; the device operation data is used to characterize the device performance of the energy management device;

[0026] A parameter determination module is used to construct rules according to preset indicator calculation parameters, perform data normalization processing on the current device operation data and the historical device operation data, and obtain indicator calculation parameters;

[0027] The indicator calculation module is used to perform indicator calculation according to a preset indicator calculation model and the indicator calculation parameters to obtain the energy management indicator of the target comprehensive energy management party.

[0028] In a possible implementation, the equipment operation data of the energy management device is obtained based on the data synchronized by the source database; the source database includes: a change operation recording module; the change operation recording module is used to parse the data change event of the equipment operation data when the equipment operation data in the source database is changed, and record the parsed data change event in the data warehouse;

[0029] The second acquisition module is used to:

[0030] Based on the subordinate management relationship and the device IoT relationship, the device operation data of the plurality of energy management devices are extracted from the data synchronization warehouse.

[0031] In a third aspect, an embodiment of the present application provides an electronic device, the device comprising: a processor, a memory, and a system bus;

[0032] The processor and the memory are connected via the system bus;

[0033] The memory is used to store one or more programs, and the one or more programs include instructions. When the instructions are executed by the processor, the processor executes any possible energy management indicator calculation method in the first aspect above.

[0034] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any possible energy management indicator calculation method in the first aspect described above.

[0035] Compared with the prior art, the present application has the following beneficial effects: the embodiment of the present application provides an energy management index calculation method, system, electronic device and medium. In the energy management index calculation method provided in the embodiment of the present application, the subordinate management relationship and device IoT relationship of the target comprehensive energy manager are first obtained, so as to determine the subordinate management party and the corresponding energy management equipment specifically associated with the target comprehensive energy manager, so as to ensure the accurate acquisition of the equipment operation data. Subsequently, based on the subordinate management relationship and the device IoT relationship, the equipment operation data of each energy management device is obtained to obtain the specific operation results and operation parameters of each energy management device when implementing its energy management plan, so as to characterize the equipment performance of the energy management device and the energy management efficiency of the target comprehensive energy manager. Further, according to the preset indicator calculation parameter construction rules, the current equipment operation data and the historical equipment operation data are normalized to obtain the indicator calculation parameters. Finally, the indicator calculation parameters with unified data structure and data type are imported into the preset indicator calculation algorithm to determine the energy management index of the target comprehensive energy manager. Through the specific subordinate management relationship and equipment IoT relationship, the equipment operation data related to the target comprehensive energy management party can be accurately obtained. At the same time, the obtained equipment operation data is normalized by combining the preset indicator calculation parameter construction rules, and the energy management indicators are calculated with indicator calculation parameters with unified data structure and data type, which reduces the calculation complexity of energy management indicators and improves the calculation accuracy of energy management indicators. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0037] Figure 1 A schematic diagram of a flow chart of a method for calculating an energy management index provided in an embodiment of the present application;

[0038] Figure 2 A schematic diagram of a subordinate management relationship and a device IoT relationship provided in an embodiment of the present application;

[0039] Figure 3A flowchart of a method for determining an indicator calculation parameter provided in an embodiment of the present application;

[0040] Figure 4 A schematic diagram of the structure of an energy management indicator calculation system provided in an embodiment of the present application;

[0041] Figure 5 A schematic diagram of the structure of an energy management indicator calculation electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0042] It should be noted that the embodiments described in this application are only part of the embodiments of this application, rather than all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0043] As described above, the calculation of energy management indicators involves the calculation of various data, the calculation complexity of energy management indicators is high, and the accuracy of the calculated energy management indicators is poor.

[0044] In order to solve the above problems, the embodiments of the present application provide an energy management index calculation method, system, electronic device and medium. In the energy management index calculation method provided in the embodiments of the present application, the subordinate management relationship and device IoT relationship of the target comprehensive energy manager are first obtained, so as to determine the subordinate management party and the corresponding energy management equipment specifically associated with the target comprehensive energy manager, so as to ensure the accurate acquisition of the equipment operation data. Subsequently, based on the subordinate management relationship and the device IoT relationship, the equipment operation data of each energy management device is obtained to obtain the specific operation results and operation parameters of each energy management device when implementing its energy management plan, so as to characterize the equipment performance of the energy management device and the energy management efficiency of the target comprehensive energy manager. Further, according to the preset indicator calculation parameter construction rules, the current equipment operation data and the historical equipment operation data are normalized to obtain the indicator calculation parameters. Finally, the indicator calculation parameters with unified data structure and data type are imported into the pre-set indicator calculation algorithm to determine the energy management index of the target comprehensive energy manager. Through the specific subordinate management relationship and device IoT relationship, the equipment operation data related to the target comprehensive energy manager can be accurately obtained. At the same time, the obtained equipment operation data is normalized by combining the preset indicator calculation parameter construction rules, and the energy management indicators are calculated using indicator calculation parameters with unified data structure and data type, which reduces the calculation complexity of the energy management indicators and improves the calculation accuracy of the energy management indicators.

[0045] First, the application scenarios in the embodiments of the present application are introduced. For the target integrated energy manager mentioned in the embodiments of the present application, the target integrated energy manager can be a specific integrated energy service provider. The integrated energy service provider can help its users manage a variety of energy needs and provide a variety of energy management solutions such as wind power, photovoltaics and distributed energy. Therefore, the integrated energy service provider has a variety of energy management equipment, and the energy management indicators of the integrated energy service provider are determined by a variety of different energy management fields. For example, when the energy management field is photovoltaics, the photovoltaic carbon emission savings of the integrated energy service provider can be used as an energy management indicator in the photovoltaic field. When the energy management field is natural gas, the carbon emission savings of gas-fired power generation of the integrated energy service provider can be used as its energy management indicator in the natural gas field. It can be seen that when the energy management performance of different energy management equipment is different, the overall energy management indicators of the integrated energy service provider will be affected by many aspects, so the calculation complexity of its energy management indicators is relatively high.

[0046] Next, the energy management indicator calculation method provided in the embodiment of the present application will be introduced in conjunction with the specific embodiment drawings.

[0047] See also Figure 1 , which is a flow chart of a method for calculating an energy management index provided in an embodiment of the present application, and specifically includes the following steps:

[0048] S101: Acquire the subordinate management relationship and device IoT relationship of the target comprehensive energy manager; the subordinate management relationship is used to represent the subordinate manager of the target comprehensive energy manager; the device IoT relationship is used to represent the energy management device associated with the subordinate manager.

[0049] From the above description of the target integrated energy manager, it can be seen that the integrated energy service provider can be used as an exemplary object of the target integrated energy manager. Here, the integrated energy service provider is used as an example of the target energy manager to introduce the subordinate management relationship and equipment IoT relationship.

[0050] See Figure 2 , Figure 2 A schematic diagram of a subordinate management relationship and device IoT relationship provided for an embodiment of the present application, as shown in the figure, in the subordinate management relationship of the integrated energy service provider, the integrated energy service provider corresponds to multiple second-level service providers, and its second-level service providers also correspond to one or more third-level service providers. The third-level service providers correspond to the energy-using customers specifically served by the integrated energy service provider, and the device groups and devices corresponding to the energy-using customers represent specific device IoT relationships.

[0051] As can be seen from the figure, each device has its own alarm number, work order number, hidden danger number, defect number and other data, which together serve as the production indicators of the integrated energy service provider. It can be seen that in order to accurately calculate the energy management indicators of the integrated energy service provider, it is necessary to calculate based on the equipment operation data of the energy management equipment specifically used by the integrated energy service provider. In this step, before calculating the energy management indicators, the specific subordinate management relationship and equipment IoT relationship of the integrated energy service provider are first obtained, which is conducive to the accurate acquisition of the operation data of various energy management equipment, thereby improving the calculation accuracy of the energy management indicators.

[0052] It should be particularly noted that the hierarchy of subordinate management relationships can be divided into levels according to cities, provinces, and counties, or it can be divided according to the internal definition of the integrated energy service provider. The number of levels and division rules of subordinate management relationships can be set by themselves, and the embodiments of the present application do not limit this.

[0053] S102: Based on the subordinate management relationship and the device IoT relationship, current device operation data and historical device operation data of the plurality of energy management devices are obtained; the device operation data is used to characterize the device performance of the energy management device.

[0054] Accordingly, after determining the subordinate management relationship and device IoT relationship of the target comprehensive energy manager, the energy management device associated with the target comprehensive energy manager can be effectively determined through the subordinate management relationship and device IoT relationship, thereby obtaining the current device operation data and historical device operation data of the energy management device. Among them, the operation data of the energy management device may include the working status, operation time, fault information, energy consumption data, etc. of the device. By obtaining the current device operation data and historical device operation of the energy management device, the operation status and performance of the device can be effectively understood, thereby more accurately calculating the energy management indicators of the target comprehensive energy manager.

[0055] In actual application scenarios, the current equipment operation data and historical equipment operation data of energy management equipment are stored in the source database. However, since the equipment operation data associated with the target integrated energy management party is often of various types and has its own specific data type, the acquisition of equipment operation data often needs to be obtained from the data warehouse synchronized with the source database. In the data warehouse, the original equipment operation data received from the source data is classified, which can improve the efficiency of obtaining equipment operation data.

[0056] However, in the process of synchronizing the original equipment operation data from the source database to the data warehouse, due to the gradual increase in the amount of data, the traditional solution of data synchronization through data copying is inefficient.

[0057] Therefore, in the embodiment of the present application, a change operation recording module for synchronizing the device operation data is attached to the source database. When the source database records the current device operation data in real time so that the device operation data recorded in the source database changes, the change operation recording module attached to the source database will parse the data change event of the device operation data when the device operation data changes, and record the parsed data change event in the data warehouse, thereby realizing the real-time synchronization of the device operation data and improving the synchronization efficiency and real-time performance of the device operation data.

[0058] In particular, the change operation recording module includes an event trigger and an event parser. The event trigger is attached to the data table in the source database for storing device data. When the data stored in the table changes, the trigger will immediately record the data change event and parse the data change event through the corresponding event parser, so as to save the changes in the device operation data in the data warehouse. Through such a data synchronization method, the downstream can subscribe to and consume these change events through the underlying protocol of the source database, so as to achieve the synchronization of device operation data. In a possible implementation method, the change event can also replace the trigger by recording a log, which is not limited in this embodiment.

[0059] It should be noted that the change operation record module is used to synchronize the parsed data change events in the data warehouse through CDC (Change Data Capture) technology. CDC technology can effectively synchronize the change records of data in the source database to one or more data directories. In a possible implementation, the data synchronization process can also perform certain processing on the data, such as grouping and association of multiple data tables, etc.

[0060] CDC technology is divided into two technical implementation modes: active query mode and event reception mode. For active queries, users usually save information such as the timestamp or version number of the last update in a field in the data source table, and then the downstream determines whether the data has changed and whether synchronization is required through continuous query and comparison with the last record. The real-time performance of data synchronization in this mode is poor, and it cannot ensure that the change events of the running data of all devices can be tracked. Frequent query access puts a lot of pressure on the source database. Therefore, in the CDC technology of the embodiment of the present application, it adopts an event reception mode to obtain data change events by attaching triggers or recording logs in the source database, thereby improving the real-time performance of data synchronization.

[0061] S103: constructing rules according to preset indicator calculation parameters, performing data normalization processing on the current device operation data and the historical device operation data, and obtaining indicator calculation parameters.

[0062] From the above description, it can be seen that the operating data of energy management equipment often has many types of data and different data structures. Therefore, it is necessary to build rules based on pre-set calculation parameters to normalize the current equipment operation data and historical equipment operation data, so as to normalize the time range, time dimension and data format of both data into standard indicator calculation parameters, thereby reducing the calculation complexity of energy management indicators.

[0063] Next, the process of determining the index calculation parameters by the above-mentioned normalization processing will be introduced in conjunction with the drawings of specific embodiments.

[0064] See also Figure 3 , which is a flow chart of a method for determining an indicator calculation parameter provided in an embodiment of the present application, and specifically includes the following steps:

[0065] S201: Performing time series data synchronization processing on the current device operation data and the historical device operation data to obtain time-series processed device operation data; the time-series processed device operation data includes the current time series device operation data and the historical time series device operation data;

[0066] In actual application scenarios, the operation of energy management equipment will be affected by many factors, and the performance of energy management equipment presents dynamic characteristics. Therefore, in order to accurately calculate the energy management indicators of the target comprehensive energy management party through the equipment operation data of the energy management equipment, it is necessary to compare the current operation data of the energy management equipment with the operation data in the past historical time, so as to more accurately calculate the indicator calculation parameters through the equipment performance of the energy management equipment.

[0067] Therefore, in the process of normalizing the current and historical equipment operation data by constructing rules based on preset indicator calculation parameters, it is necessary to perform time series synchronization processing on the current equipment operation data and the historical equipment operation data to determine the time series data of the two and obtain the equipment operation data after time series processing.

[0068] Specifically, the current timing is set to t, and the timing synchronization process specifically includes the following steps:

[0069] A. The data warehouse calculates the historical (t+1) time series data. The historical data here refers to the data of the past period of time, excluding the data at the current time point. Subsequently, the data warehouse will synchronize the daily time series data to the business database. The synchronized data includes data at the daily, monthly, yearly, and hourly granularity. The business database is used to store the current time series data and the previous time series data.

[0070] B. The business database records the current time series data, that is, the data of the day, month, year and hour of the day. These data are used to respond to the current indicator query instructions and are only used as temporary data for viewing on the day.

[0071] C. After the data warehouse completes the calculation of t+1 data, the business database is responsible for replacing the current data in the business database with the historical time series data processed in the data warehouse, thereby achieving synchronization between the data in the data warehouse and the business data.

[0072] For example, during time series processing, the data of the previous day will be synchronized on the next day, the data of the previous month will be synchronized after the end of the current month, and so on, to ensure that the data in the business database is always the latest data. The data stored in the business database is mainly used for real-time query and display, not for historical analysis.

[0073] S202: Unifying the data structure based on the time-series processed equipment operation data to obtain the indicator calculation parameters.

[0074] After completing the time series processing of the equipment operation data, the data structure of the time series data is unified to determine the indicator calculation parameters. Specifically, the data structure unification aims to unify the time dimension, data unit, and the year-on-year comparison of historical operation data and current operation data. The unification method is as follows:

[0075] The unified division of time dimension is divided into day, month, year and hour of the day. The day is divided based on 0:00 today to the current hour, the month is divided from 0:00 on the 1st of this month to the current hour, the year is divided from 0:00 on January 1st of this year to the current hour, and the historical year is divided from 0:00 on January 1st of this month to 0:00 on January 1st of the next year. The hour of the day is based on the hourly data, cumulative value or average value, 1 point, the interval includes 0:00:00 to 1:00:00, 2 points, the interval includes 1:00:00 to 2:00:00, and so on. 23:00:00 to 0:00:00 the next day is 24-hour data.

[0076] It is important to note that in the process of unifying the time dimension, the event dimension must be unified based on the event granularity of the source database. If the source database contains data in minutes and seconds, the time dimension must be unified using the same minutes and seconds, and the values ​​of minutes and seconds cannot be ignored.

[0077] Correspondingly, for the same need of data units, the data in the time dimension are kept in the same data value unit.

[0078] Furthermore, the month-on-month data is: (current period - previous period) / previous period * 100%; the year-on-year data is: (current period - same period last year) / same period last year * 100%. In particular, when calculating month-on-month and year-on-year, if the denominator is 0, the result is 0; if the denominator is empty, the result is 1; if the current period data is 0, the result is -100%; if the current period data is empty, the result is 1.

[0079] Furthermore, in the process of data structure unification, the general rules of division and subtraction operations will be restricted to ensure the accuracy of indicator calculation. Among them, when using division or a formula for dividing two data, when the numerator is 0, the divisor is 0; when the numerator is empty, the divisor is empty, and the entire calculation result is empty; when the denominator is 0, or is empty, the divisor is empty, and the entire calculation result is empty. In the general principle of subtraction operation, when one of the subtrahend and the minuend is empty, the result is judged to be invalid.

[0080] S104: performing index calculation according to a preset index calculation model and the index calculation parameters to obtain the energy management index of the target comprehensive energy management party.

[0081] Finally, the index calculation parameters obtained by normalization processing are imported into the preset index calculation model for index calculation. Since the corresponding index calculation formula is set in the preset index calculation model, the energy management index of the target comprehensive energy management party can be calculated and determined by importing the index calculation parameters into the index calculation model.

[0082] Specifically, the exemplary indicator calculation formula is shown in the following table:

[0083]

[0084]

[0085] It can be seen from the above indicator calculation formula table that in the preset indicator calculation model, calculation formulas for various indicators are set. Therefore, by importing the corresponding indicator calculation parameters into the preset indicator calculation model, the energy management indicators of the target comprehensive energy management party can be quickly calculated.

[0086] In a possible implementation, after the energy management indicator is calculated, the calculated energy management indicator is stored in the indicator database. When the user queries the indicator through the indicator query instruction, the corresponding energy management indicator can be obtained based on the preset service interface, thereby responding to the indicator query instruction. In the preset service interface, input parameters such as the injection time range and indicator type and the input format are defined. The current indicator query instruction can be passed as a parameter to the preset service interface, thereby realizing the effective acquisition of the energy management indicator.

[0087] In another possible implementation, in order to ensure the effective completion of the indicator query service, the call status of the preset service interface can also be analyzed. By viewing the historical call data of the interface, the real-time data of the service interface access device and the historical measurement point data can be summarized and analyzed, thereby effectively ensuring the performance of the service interface.

[0088] The embodiment of the present application provides a method for calculating energy management indicators. In the method for calculating energy management indicators provided in the embodiment of the present application, the subordinate management relationship and the device IoT relationship of the target comprehensive energy manager are first obtained, so as to determine the subordinate management party and the corresponding energy management equipment specifically associated with the target comprehensive energy manager, so as to ensure the accurate acquisition of equipment operation data. Subsequently, based on the subordinate management relationship and the device IoT relationship, the equipment operation data of each energy management device is obtained to obtain the specific operation results and operation parameters of each energy management device when implementing its energy management plan, so as to characterize the equipment performance of the energy management device and the energy management efficiency of the target comprehensive energy manager. Further, according to the preset indicator calculation parameter construction rules, the current equipment operation data and the historical equipment operation data are normalized to obtain the indicator calculation parameters. Finally, the indicator calculation parameters with unified data structure and data type are imported into the pre-set indicator calculation algorithm to determine the energy management indicators of the target comprehensive energy manager. Through the specific subordinate management relationship and device IoT relationship, the equipment operation data related to the target comprehensive energy manager can be accurately obtained. At the same time, the obtained equipment operation data is normalized by combining the preset indicator calculation parameter construction rules, and the energy management indicators are calculated using indicator calculation parameters with unified data structure and data type, which reduces the calculation complexity of the energy management indicators and improves the calculation accuracy of the energy management indicators.

[0089] An energy management indicator calculation system provided in an embodiment of the present application is introduced below. The energy management indicator calculation system described below and the energy management indicator calculation method described above can be referenced to each other.

[0090] See also Figure 4 , which is a schematic diagram of the structure of an energy management index calculation system provided in an embodiment of the present application, specifically including the following modules:

[0091] The first acquisition module 100 is used to acquire the subordinate management relationship and device IoT relationship of the target integrated energy manager; the subordinate management relationship is used to represent the subordinate manager of the target integrated energy manager; the device IoT relationship is used to represent the energy management device associated with the subordinate manager;

[0092] The second acquisition module 200 is used to acquire the current device operation data and the historical device operation data of the plurality of energy management devices based on the subordinate management relationship and the device IoT relationship; the device operation data is used to characterize the device performance of the energy management device;

[0093] A parameter determination module 300 is used to construct a rule according to preset index calculation parameters, perform data normalization processing on the current device operation data and the historical device operation data, and obtain index calculation parameters;

[0094] The indicator calculation module 400 is used to perform indicator calculation according to a preset indicator calculation model and the indicator calculation parameters to obtain the energy management indicator of the target comprehensive energy management party.

[0095] In a possible implementation, the equipment operation data of the energy management device is obtained based on the data synchronized by the source database; the source database includes: a change operation recording module; the change operation recording module is used to parse the data change event of the equipment operation data when the equipment operation data in the source database is changed, and record the parsed data change event in the data warehouse;

[0096] The second acquisition module 200 is used to:

[0097] Based on the subordinate management relationship and the device IoT relationship, the device operation data of the plurality of energy management devices are extracted from the data synchronization warehouse.

[0098] In a possible implementation, the parameter determination module 300 is used to:

[0099] Performing time series data synchronization processing on the current device operation data and the historical device operation data to obtain the device operation data after time series processing; the device operation data after time series processing includes the device operation data of the current time series and the device operation data of the historical time series;

[0100] The index calculation parameters are obtained by unifying the data structure based on the equipment operation data after time series processing.

[0101] In a possible implementation, the change operation recording module is used to synchronously record the parsed data change event into the data warehouse through CDC technology.

[0102] In a possible implementation, the system further includes: an indicator query module; the indicator query module is used to:

[0103] In response to the indicator query instruction, an energy management indicator corresponding to the indicator query instruction is obtained from the indicator database through a preset service interface.

[0104] In a possible implementation, the system further includes: an interface analysis module; the interface analysis module is used to:

[0105] Perform call analysis on the call status of the preset service interface to obtain interface analysis data.

[0106] See also Figure 5 , which is a schematic diagram of the structure of an energy management index calculation electronic device provided in an embodiment of the present application, including:

[0107] A memory 11, used for storing computer programs;

[0108] The processor 12 is configured to implement the steps of an energy management indicator calculation method described in any of the above method embodiments when executing the computer program.

[0109] In this embodiment, the device may be a vehicle-mounted computer, a PC (Personal Computer), or a terminal device such as a smart phone, a tablet computer, a PDA, a portable computer, etc.

[0110] The device may include a memory 11 , a processor 12 , and a bus 13 .

[0111] Among them, the memory 11 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, hard disk, multimedia card, card-type memory (for example, SD or DX memory, etc.), magnetic memory, disk, optical disk, etc. In some embodiments, the memory 11 can be an internal storage unit of the device, such as the hard disk of the device. In other embodiments, the memory 11 can also be an external storage device of the device, such as a plug-in hard disk equipped on the device, a smart memory card (SmartMed ia Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. Further, the memory 11 can also include both the internal storage unit of the device and the external storage device. The memory 11 can not only be used to store application software installed in the device and various types of data, such as program codes for executing fault prediction methods, but also can be used to temporarily store data that has been output or is to be output. The processor 12 can be a central processing unit (CPU) in some embodiments.

[0112] In some embodiments, the processor 12 may be a central processing unit (CPU), a controller, a microcontroller, a microprocessor or other data processing chip, and is used to run program codes or process data stored in the memory 11, such as program codes for executing a fault prediction method.

[0113] The bus 13 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0114] Furthermore, the device may also include a network interface 14, which may optionally include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the device and other electronic devices.

[0115] Optionally, the device may further include a user interface 15, which may include a display (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 15 may also include a standard wired interface and a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode) touch device, etc. The display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the device and to display a visual user interface.

[0116] Figure 5 Only the device with components 11-15 is shown, and it can be understood by those skilled in the art that Figure 5 The structure shown does not constitute a limitation of the device, and may include fewer or more components than shown, or combine certain components, or arrange the components differently.

[0117] An embodiment of the present application also provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, any possible energy management indicator calculation method described above is implemented.

[0118] It should be noted that each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for methods, systems, electronic devices and media, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments. The methods, systems, electronic devices and media described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components indicated as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0119] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for calculating energy management indicators, characterized in that: include: Obtaining the subordinate management relationship and equipment IoT relationship of the target comprehensive energy manager; The subordinate management relationship is used to represent the subordinate management party of the target comprehensive energy management party; The device IoT relationship is used to represent the energy management device associated with the lower-level management party; Based on the subordinate management relationship and the device IoT relationship, obtaining current device operation data and historical device operation data of the plurality of energy management devices; The equipment operation data is used to characterize the equipment performance of the energy management device; According to the preset indicator calculation parameter construction rules, the current equipment operation data and the historical equipment operation data are normalized to obtain the indicator calculation parameters; The index calculation is performed according to the preset index calculation model and the index calculation parameters to obtain the energy management index of the target comprehensive energy management party.

2. The method according to claim 1, characterized in that The equipment operation data of the energy management device is obtained based on the data synchronized with the source database; The source database comprises: a change operation recording module; the change operation recording module is used to parse the data change event of the device operation data when the device operation data in the source database is changed, and record the parsed data change event in the data warehouse; The acquiring of device operation data of a plurality of energy management devices based on the subordinate management relationship and the device IoT relationship includes: Based on the subordinate management relationship and the device IoT relationship, the device operation data of the plurality of energy management devices are extracted from the data synchronization warehouse.

3. The method according to claim 1, characterized in that The method of constructing a rule according to preset index calculation parameters, performing data normalization processing on the current device operation data and the historical device operation data, and obtaining the index calculation parameters, includes: Performing time series data synchronization processing on the current device operation data and the historical device operation data to obtain the device operation data after time series processing; the device operation data after time series processing includes the device operation data of the current time series and the device operation data of the historical time series; The index calculation parameters are obtained by unifying the data structure based on the equipment operation data after time series processing.

4. The method according to claim 2, characterized in that: The change operation recording module is used to synchronously record the parsed data change events into the data warehouse through CDC technology.

5. The method according to claim 1, characterized in that The energy management index is stored in an index database; after obtaining the energy management index of the target comprehensive energy management party, the method further includes: In response to the indicator query instruction, an energy management indicator corresponding to the indicator query instruction is obtained from the indicator database through a preset service interface.

6. The method according to claim 5, characterized in that The method further comprises: Perform call analysis on the call status of the preset service interface to obtain interface analysis data.

7. An energy management index calculation system, characterized in that: include: A first acquisition module is used to acquire the subordinate management relationship and device IoT relationship of the target comprehensive energy manager; The subordinate management relationship is used to represent the subordinate management party of the target comprehensive energy management party; The device IoT relationship is used to represent the energy management device associated with the lower-level management party; A second acquisition module is used to acquire current device operation data and historical device operation data of a plurality of the energy management devices based on the subordinate management relationship and the device IoT relationship; the device operation data is used to characterize the device performance of the energy management device; A parameter determination module is used to construct rules according to preset indicator calculation parameters, perform data normalization processing on the current device operation data and the historical device operation data, and obtain indicator calculation parameters; The indicator calculation module is used to perform indicator calculation according to a preset indicator calculation model and the indicator calculation parameters to obtain the energy management indicator of the target comprehensive energy management party.

8. The system according to claim 7, characterized in that The equipment operation data of the energy management device is obtained based on the data synchronized with the source database; The source database comprises: a change operation recording module; the change operation recording module is used to parse the data change event of the device operation data when the device operation data in the source database is changed, and record the parsed data change event in the data warehouse; The second acquisition module is used to: Based on the subordinate management relationship and the device IoT relationship, the device operation data of the plurality of energy management devices are extracted from the data synchronization warehouse.

9. An electronic device, characterized in that: The device comprises: a processor, a memory and a system bus; The processor and the memory are connected via the system bus; The memory is used to store one or more programs, and the one or more programs include instructions. When the instructions are executed by the processor, the processor executes the energy management indicator calculation method according to any one of claims 1 to 6.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the energy management indicator calculation method described in any one of claims 1 to 6 is implemented.

Images