CN112990696A - Data analysis method, system, device, computer equipment and storage medium - Google Patents
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Abstract
The application relates to a data analysis method, a system, a device, a computer device and a storage medium. The method comprises the following steps: the data analysis system obtains monitoring data of the power monitoring equipment under different dimensions, determines data to be processed corresponding to analysis indexes from the monitoring data according to preset analysis indexes, and analyzes the data to be processed according to a preset analysis algorithm to obtain a quantitative result corresponding to the analysis indexes. In the method, the data analysis system can acquire the monitoring data of the corresponding power monitoring equipment based on the interfaces with different dimensions, and perform multi-dimensional joint analysis on the power data with different dimensions, so that the quantitative result corresponding to the obtained analysis index is more practical and accurate.
Description
Technical Field
The present application relates to the field of power technologies, and in particular, to a data analysis method, system, apparatus, computer device, and storage medium.
Background
Monitoring and analyzing power data is an important means for ensuring safe and reliable operation of each power device in a power system. The traditional power system monitoring platform mainly aims at monitoring certain type of power data of a transformer area, namely, the power data of the certain type of the transformer area are collected, extracted, cleaned and analyzed, and the running state of power equipment of the transformer area is determined.
However, different types of power data in the power system have cross influence, the prior art cannot effectively fuse the coupling relationship between the power data of each type, and the obtained monitoring result of each power device in the power system is also inaccurate.
Disclosure of Invention
In view of the above, it is necessary to provide a data analysis method, system, apparatus, computer device and storage medium for solving the above technical problems.
In a first aspect, a data analysis method is provided, which includes:
acquiring monitoring data of the power monitoring equipment under different dimensions;
determining to-be-processed data corresponding to the analysis index from the monitoring data according to a preset analysis index;
and analyzing the data to be processed according to a preset analysis algorithm to obtain a quantitative result corresponding to the analysis index.
In one embodiment, the determining, according to a preset analysis index, to-be-processed data corresponding to the analysis index from the monitoring data includes:
determining the type of monitoring data corresponding to the analysis index according to a preset analysis index;
and determining to-be-processed data corresponding to the type in the monitoring data according to the type of the monitoring data.
In one embodiment, the analyzing the data to be processed according to a preset analysis algorithm to obtain a quantization result corresponding to the analysis index includes:
calculating target data under different dimensionalities corresponding to the analysis indexes according to the data to be processed;
and analyzing the target data under different dimensions according to a preset analysis algorithm to obtain quantitative results of different dimensions corresponding to the analysis indexes.
In one embodiment, the dimension comprises a time dimension; according to a preset analysis algorithm, analyzing target data under different dimensions to obtain quantitative results of different dimensions corresponding to analysis indexes, wherein the quantitative results comprise:
and determining the data change rate of the target data in the time dimension according to the target data and the analysis algorithm to obtain a quantitative result corresponding to the analysis index in the time dimension.
In one embodiment, the dimensions include a region dimension; according to a preset analysis algorithm, analyzing target data under different dimensions to obtain quantitative results of different dimensions corresponding to analysis indexes, wherein the quantitative results comprise:
determining the data change condition of the target data of different region dimensions in the same time period according to the target data and an analysis algorithm;
and determining a quantization result corresponding to the analysis index according to the change condition of the target data of different region dimensions.
In one embodiment, the method further includes:
and displaying the quantitative results of different dimensions corresponding to the analysis indexes on a display interface.
In a second aspect, a data analysis system is provided, which comprises a plurality of analysis index modules, a data acquisition module and a data display module; each analysis index module comprises a data determining unit and a data analyzing unit;
the data acquisition module is used for acquiring monitoring data of the power monitoring equipment under different dimensions;
the data determining unit is used for determining to-be-processed data corresponding to the analysis index from the monitoring data according to a preset analysis index;
the data analysis unit is used for analyzing the data to be processed according to a preset analysis algorithm to obtain a quantitative result corresponding to the analysis index;
and the data display module is used for displaying the quantitative results of different dimensions corresponding to the analysis indexes on a display interface.
In a third aspect, there is provided a data analysis apparatus, comprising:
the acquisition module is used for acquiring monitoring data of the power monitoring equipment under different dimensions;
the determining module is used for determining to-be-processed data corresponding to the analysis index from the monitoring data according to the preset analysis index;
and the analysis module is used for analyzing the data to be processed according to a preset analysis algorithm to obtain a quantitative result corresponding to the analysis index.
In a fourth aspect, there is provided a computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the data analysis method of any one of the first aspect when executing the computer program.
In a fifth aspect, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the data analysis method of any of the first aspects described above.
According to the data analysis method, the data analysis system, the computer equipment and the storage medium, the data analysis system obtains monitoring data of the power monitoring equipment under different dimensions, determines to-be-processed data corresponding to analysis indexes from the monitoring data according to preset analysis indexes, and analyzes the to-be-processed data according to a preset analysis algorithm to obtain quantitative results corresponding to the analysis indexes. In the method, the data analysis system can acquire the monitoring data of the corresponding power monitoring equipment based on the interfaces with different dimensions, and perform multi-dimensional joint analysis on the power data with different dimensions, so that the quantitative result corresponding to the obtained analysis index is more practical and accurate.
Drawings
FIG. 1 is a schematic diagram of a data analysis system in one embodiment;
FIG. 2 is a schematic diagram of the structure of a data analysis system in one embodiment;
FIG. 3 is a schematic flow chart diagram of a data analysis method in one embodiment;
FIG. 4 is a schematic flow chart diagram illustrating a method for data analysis in one embodiment;
FIG. 5 is a schematic flow chart diagram illustrating a data analysis method in one embodiment;
FIG. 6 is a schematic flow chart diagram illustrating a method for data analysis in one embodiment;
FIG. 7 is a schematic flow chart diagram illustrating a data analysis method in one embodiment;
FIG. 8 is a block diagram showing the structure of a data analysis apparatus according to an embodiment;
FIG. 9 is a block diagram showing the structure of a data analysis apparatus according to an embodiment;
FIG. 10 is a diagram showing an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The data analysis method provided by the application can be applied to a data analysis system shown in fig. 1. Fig. 1 provides a data analysis system, which includes a plurality of analysis index modules 2, a data acquisition module 1, and a data presentation module 3; each analysis index module includes a data determination unit 21 and a data analysis unit 22.
The data acquisition module 1 is used for acquiring monitoring data of the power monitoring equipment under different dimensions.
In this embodiment, the data acquisition module is used to acquire the monitoring data in different dimensions, for example, based on the data acquisition module, the monitoring data in different regions, different units, and different time periods are acquired. The monitoring data comprises voltage, current, electric quantity, power, electric quantity expense and other data.
Different analysis indexes correspond to different analysis index modules 2, wherein each analysis index module 2 comprises a data determination unit 21 and a data analysis unit 22.
The data determining unit 21 is configured to determine, according to a preset analysis index, to-be-processed data corresponding to the analysis index from the monitoring data.
In this embodiment, in combination with the specific embodiment in the power data scenario given in fig. 2, the analysis index may be power supply quality of the distribution room, efficiency of equipment in the distribution room, monitoring of metering equipment, customer electricity utilization service, customer electricity fee, power supply safety of the distribution room, power utilization increase of the distribution room, real-time monitoring of the distribution room, full-dimensional detail analysis of customers, and the like. The monitoring data to be processed required by different analysis indexes are different, for example, the power supply quality of the transformer area needs to calculate three-phase unbalance parameters of the transformer area, and the required monitoring data comprise voltage, current and the like; the customer electricity charge needs to calculate a customer arrearage value, and the required monitoring data comprise data such as electricity charge and the like; the efficiency of the equipment in the distribution room needs to calculate a distribution room load rate, the required monitoring data includes data such as power, and the data determining unit determines the monitoring data required by the current analysis index from the monitoring data according to different analysis indexes, and the monitoring data is used as data to be processed, which is not limited in this embodiment.
And the data analysis unit 22 is configured to analyze the data to be processed according to a preset analysis algorithm to obtain a quantization result corresponding to the analysis index.
In this embodiment, after determining the data to be processed, the data analysis unit calculates a corresponding index value according to the data to be processed, for example, a distribution transformer three-phase imbalance value according to a voltage, a current and a preset analysis algorithm; calculating a customer arrearage value according to data such as electric quantity expense and the like and a preset analysis algorithm; and calculating the load rate of the distribution room according to data such as power and a preset analysis algorithm to obtain a quantitative result corresponding to each analysis index.
And the data display module 3 is used for displaying the quantitative results of different dimensions corresponding to the analysis indexes on a display interface.
In this embodiment, the data display module 3 displays the quantization results of different dimensions corresponding to each analysis index, and optionally, the quantization results corresponding to each analysis index may be displayed respectively; and simultaneously displaying the quantitative result corresponding to at least one analysis index according to the coupling relation among the analysis indexes. For example, the customer electricity charge analysis index and the customer electricity service analysis index can be displayed in the display interface at the same time, so that the user can intuitively perform the correlation analysis.
In the data analysis system, the corresponding monitoring data of the power monitoring equipment can be acquired through the data acquisition module based on different dimensionality interfaces, and the to-be-processed data corresponding to each analysis index is determined based on different analysis indexes, so that the multi-dimensional joint analysis of the power data under different dimensionalities is performed according to the to-be-processed data, and the obtained quantitative result corresponding to the analysis index is more practical and accurate.
The following describes in detail the technical solutions of the present application and how the technical solutions of the present application solve the above technical problems by embodiments and with reference to the drawings. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. It should be noted that the data analysis method provided in the embodiments of fig. 3 to 7 of the present application may be implemented by a data analysis system, or may be implemented by a data analysis device, which may be a part or all of the data analysis system through software, hardware, or a combination of software and hardware. In the following method embodiments, the data analysis system is taken as an example of the execution subject.
In an embodiment, as shown in fig. 3, a data analysis method is provided, which relates to a process in which a data analysis system obtains monitoring data of power monitoring equipment in different dimensions, determines to-be-processed data corresponding to an analysis index from the monitoring data according to a preset analysis index, and analyzes the to-be-processed data according to a preset analysis algorithm to obtain a quantization result corresponding to the analysis index, and includes the following steps:
s201, acquiring monitoring data of the power monitoring equipment under different dimensions.
In this embodiment, the data analysis system obtains the monitoring data of the power monitoring devices in different dimensions, for example, obtains the monitoring data of different regions, different units, and different time periods. The monitoring data comprises voltage, current, electric quantity, power, electric quantity expense and other data.
S202, according to preset analysis indexes, determining to-be-processed data corresponding to the analysis indexes from the monitoring data.
In this embodiment, the data analysis system executes the above steps through the data determination unit in the analysis index module, and similar to the above system embodiment, the analysis index includes the power supply quality of the distribution room, the efficiency of the distribution room equipment, the monitoring of the metering equipment, the customer electricity service, the customer electricity fee, the power supply safety of the distribution room, the power consumption increase of the distribution room, the real-time monitoring of the distribution room, the full-dimensional detail analysis of the customer, and the like. The monitoring data to be processed required by different analysis indexes are different, for example, the power supply quality of the transformer area needs to calculate three-phase unbalance parameters of the transformer area, the monitoring data required by calculating the three-phase unbalance parameters of the transformer area comprise voltage and current, and the voltage and the current in the monitoring data are determined as the data to be processed corresponding to the power supply quality of the transformer area; the customer electricity fee needs to calculate a customer arrearage value, the monitoring data needed for calculating the customer arrearage value includes data such as electricity fee, and the like, and the electricity fee is determined as the data to be processed corresponding to the customer electricity fee, which is not limited in this embodiment.
And S203, analyzing the data to be processed according to a preset analysis algorithm to obtain a quantitative result corresponding to the analysis index.
The preset analysis algorithm comprises analysis methods based on different dimensions, for example, data change analysis based on time dimension; regional difference analysis based on spatial dimensions.
In this embodiment, after determining data to be processed, the data analysis system calculates a corresponding index value according to the data to be processed, determines a corresponding analysis algorithm based on different dimensions, performs quantitative analysis on an analysis index according to the index value, for example, calculates a distribution transformation three-phase imbalance value according to voltage and current, determines a change rate of the distribution transformation three-phase imbalance value of each power monitoring device in different time periods based on a time dimension, and obtains a quantitative result of power supply quality of the distribution region; or, the customer arrearage value is calculated according to the electric quantity charge, and based on the region dimension, the difference between the customer arrearage values in different regions in the same time period is determined, so as to obtain the quantitative result of the customer electric charge, which is not limited in this embodiment.
In the data analysis method, the data analysis system acquires monitoring data of the power monitoring equipment under different dimensions, determines to-be-processed data corresponding to an analysis index from the monitoring data according to a preset analysis index, and analyzes the to-be-processed data according to a preset analysis algorithm to obtain a quantitative result corresponding to the analysis index. In the method, the data analysis system can acquire the monitoring data of the corresponding power monitoring equipment based on the interfaces with different dimensions, and perform multi-dimensional joint analysis on the power data with different dimensions, so that the quantitative result corresponding to the obtained analysis index is more practical and accurate.
Optionally, in the process of determining the data to be processed by the data analysis system, the data type corresponding to the current analysis index needs to be determined. In an embodiment, as shown in fig. 4, the determining, from the monitoring data, to-be-processed data corresponding to the analysis index according to the preset analysis index includes:
s301, determining the type of the monitoring data corresponding to the analysis index according to the preset analysis index.
The type of the monitoring data comprises data attributes, and a data set corresponding to the analysis index is determined according to the difference of the data attributes.
In this embodiment, the data analysis system determines, according to an index value required to be calculated in the analysis index, a type of monitoring data corresponding to the analysis index, for example, the power supply quality of the distribution area needs to calculate a three-phase imbalance value of the distribution area, and the type of monitoring data required to calculate the three-phase imbalance value of the distribution area includes current and voltage, and then determines that the type of monitoring data corresponding to the power supply quality of the distribution area is current and voltage, which is not limited in this embodiment.
S302, according to the type of the monitoring data, determining the data to be processed corresponding to the type in the monitoring data.
In this embodiment, after determining the type of the monitoring data, the data analysis system acquires the monitoring data corresponding to the type in all dimensions, and uses the monitoring data as to-be-processed data corresponding to the current analysis index. For example, after determining that the type of the monitoring data corresponding to the power supply quality of the transformer area is current and voltage, the data analysis system extracts the current data and the voltage data from the monitoring data to form a to-be-processed data set corresponding to the power supply quality of the transformer area. Optionally, the data set to be processed may also be stored into a designated storage space.
In this embodiment, the data analysis system may screen and clean the multidimensional data according to different analysis indexes to obtain the to-be-processed data corresponding to the analysis indexes, so that on one hand, the multidimensional data is subjected to dimension reduction, on the other hand, the data with coupling may be obtained from the multidimensional data, and the to-be-processed data associated with the analysis indexes may be effectively determined.
In the process of analyzing data according to the data to be processed by the data analysis system, in an embodiment, as shown in fig. 5, the analyzing the data to be processed according to the preset analysis algorithm to obtain a quantitative result corresponding to the analysis index includes:
s401, according to the data to be processed, target data under different dimensionalities corresponding to the analysis indexes are calculated.
In this embodiment, the data analysis system may substitute the data to be processed into the calculation rule corresponding to the value according to a preset calculation rule, and calculate the target data corresponding to the current analysis index, that is, the index value. Illustratively, the data analysis system calculates a distribution transformer three-phase imbalance value of the distribution transformer according to the current data and the voltage data, and the distribution transformer three-phase imbalance value is used as target data corresponding to the analysis index of the distribution transformer power supply quality. Optionally, because of the existence of the multidimensional data, the data analysis system may calculate target data corresponding to the analysis indexes in different dimensions, for example, with the regions as dimensions, respectively calculate distribution transformation three-phase imbalance values of the distribution transformer of each region at the same time, as the target data corresponding to the analysis indexes in the current dimension; the time is taken as a dimension, the average distribution transformation three-phase imbalance value of each area in the time period is calculated and used as target data corresponding to the analysis index in the current dimension, and the method is not limited in this embodiment.
S402, analyzing the target data under different dimensions according to a preset analysis algorithm to obtain quantitative results of different dimensions corresponding to the analysis indexes.
Optionally, analyzing the target data under different dimensions according to a preset analysis algorithm to obtain quantization results of different dimensions corresponding to the analysis index, including:
and determining the data change rate of the target data in the time dimension according to the target data and the analysis algorithm to obtain a quantitative result corresponding to the analysis index in the time dimension.
In this embodiment, the data analysis system analyzes the target data based on different dimensions and corresponding analysis algorithms, for example, taking time as a dimension, and the data analysis system determines a change rate of the target data based on time transformation and a trend of the target data based on a calendar graph analysis algorithm, so as to obtain a quantitative result of an analysis index in the time dimension.
Optionally, as shown in fig. 5, analyzing the target data under different dimensions according to a preset analysis algorithm to obtain quantization results of different dimensions corresponding to the analysis index includes:
s501, determining data change conditions of the target data of different region dimensions in the same time period according to the target data and an analysis algorithm.
S502, determining a quantization result corresponding to the analysis index according to the change condition of the target data of different region dimensions.
In this embodiment, the data analysis system may further perform vertical analysis on the target data of each region based on a region analysis algorithm with the region, the grid, the power supply unit, the distribution room, and the like as dimensions, and obtain the change condition of the target data of the current region based on the vertical analysis structure. Optionally, the target data of all the regions may be subjected to a transverse analysis, and transverse differences of the target data of all the regions are obtained based on a transverse analysis result, and are used as a quantitative result of the analysis index, and optionally, the data analysis system may further sort the target data of all the regions to determine a degree of divergence of the target data of each region, which is not limited in this embodiment.
In this embodiment, the data analysis system analyzes the target data under each analysis index based on different dimensions and different analysis algorithms, determines the data change condition under the multidimensional data, and obtains a more practical and accurate quantitative result of the analysis index.
Further, in order to visually display the quantitative result of each analysis index, in an embodiment, the method further includes:
and displaying the quantitative results of different dimensions corresponding to the analysis indexes on a display interface.
In this embodiment, the data analysis system may generate a data display interface corresponding to each quantization result based on the quantization results of different dimensions, and optionally, the data analysis system may simultaneously display the data display interfaces of different dimensions under the same analysis index in the display interface, or may display the data display interface corresponding to the interface identifier based on the interface identifier, when receiving the display instruction, according to the interface identifier in the display instruction. In addition, the data analysis system may also display the data display interfaces of different analysis indexes at the same latitude in the display interface at the same time, which is not limited in this embodiment. Optionally, the data analysis system may construct a data display interface corresponding to each quantitative result through a visualization component, where the visualization component includes various icon components, map components, and other components for visually displaying the data quantitative results. Further, the data analysis system may also perform parameter settings such as interface attributes, interface types, interface color matching, and the like on the data display interfaces of the respective quantization results, and optionally, based on different display interfaces, the data analysis system may adapt the parameter settings of the data display interfaces to the parameter settings of the display interfaces, such as display size, display color matching, and the like.
In this embodiment, the data analysis system can display the quantization results of each analysis index under different dimensions in a multi-dimensional linkage manner in multiple forms, so that a user can intuitively determine the change condition of the monitoring data, and the user experience is optimized.
To better explain the above method, as shown in fig. 7, the present embodiment provides a data analysis method, which specifically includes:
s101, acquiring monitoring data of power monitoring equipment under different dimensions;
s102, determining the type of monitoring data corresponding to an analysis index according to a preset analysis index;
s103, determining to-be-processed data corresponding to the type in the monitoring data according to the type of the monitoring data;
s104, calculating target data under different dimensions corresponding to the analysis indexes according to the data to be processed;
s105, analyzing the target data under different dimensions according to a preset analysis algorithm to obtain different dimension quantization results corresponding to the analysis indexes;
and S106, displaying the quantization results of different dimensions corresponding to the analysis indexes on a display interface.
In this embodiment, the data analysis system may obtain the monitoring data of the corresponding power monitoring device based on the interfaces with different dimensions, and perform multidimensional joint analysis on the power data with different dimensions, so that the quantitative result corresponding to the obtained analysis index is more practical and accurate.
The data analysis method provided by the above embodiment has similar implementation principle and technical effect to those of the above method embodiment, and is not described herein again.
It should be understood that although the various steps in the flow charts of fig. 3-7 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 3-7 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the other steps.
In one embodiment, as shown in fig. 8, there is provided a data analysis apparatus including: an obtaining module 01, a determining module 02 and an analyzing module 03, wherein:
the acquisition module 01 is used for acquiring monitoring data of the power monitoring equipment under different dimensions;
the determining module 02 is used for determining to-be-processed data corresponding to the analysis index from the monitoring data according to a preset analysis index;
the analysis module 03 is configured to analyze the data to be processed according to a preset analysis algorithm to obtain a quantization result corresponding to the analysis index.
In one embodiment, the determining module is configured to determine, according to a preset analysis index, a type of monitoring data corresponding to the analysis index; and determining to-be-processed data corresponding to the type in the monitoring data according to the type of the monitoring data.
In one embodiment, the analysis module is configured to calculate target data in different dimensions corresponding to the analysis index according to the data to be processed; and analyzing the target data under different dimensions according to a preset analysis algorithm to obtain quantitative results of different dimensions corresponding to the analysis indexes.
In one embodiment, the dimension comprises a time dimension; and the analysis module is used for determining the data change rate of the target data in the time dimension according to the target data and the analysis algorithm to obtain a quantitative result corresponding to the analysis index in the time dimension.
In one embodiment, the dimension comprises a region dimension analysis module, which is used for determining the data change condition of the target data of different region dimensions in the same time period according to the target data and an analysis algorithm; and determining a quantization result corresponding to the analysis index according to the change condition of the target data of different region dimensions.
In one embodiment, as shown in fig. 9, the apparatus further includes a display module 04 configured to display, on a display interface, the quantization results of different dimensions corresponding to the analysis index.
For specific limitations of the data analysis device, reference may be made to the above limitations of the data analysis method, which are not described herein again. The modules in the data analysis device can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 10. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless communication can be realized through WIFI, an operator network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a data analysis method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 10 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
acquiring monitoring data of the power monitoring equipment under different dimensions;
determining to-be-processed data corresponding to the analysis index from the monitoring data according to a preset analysis index;
and analyzing the data to be processed according to a preset analysis algorithm to obtain a quantitative result corresponding to the analysis index.
The implementation principle and technical effect of the computer device provided by the above embodiment are similar to those of the above method embodiment, and are not described herein again.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring monitoring data of the power monitoring equipment under different dimensions;
determining to-be-processed data corresponding to the analysis index from the monitoring data according to a preset analysis index;
and analyzing the data to be processed according to a preset analysis algorithm to obtain a quantitative result corresponding to the analysis index.
The implementation principle and technical effect of the computer-readable storage medium provided by the above embodiments are similar to those of the above method embodiments, and are not described herein again.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method of data analysis, the method comprising:
acquiring monitoring data of the power monitoring equipment under different dimensions;
determining to-be-processed data corresponding to the analysis index from the monitoring data according to a preset analysis index;
and analyzing the data to be processed according to a preset analysis algorithm to obtain a quantitative result corresponding to the analysis index.
2. The method according to claim 1, wherein the determining, from the monitoring data, to-be-processed data corresponding to a preset analysis index according to the preset analysis index includes:
determining the type of monitoring data corresponding to a preset analysis index according to the analysis index;
and determining to-be-processed data corresponding to the type in the monitoring data according to the type of the monitoring data.
3. The method according to claim 2, wherein analyzing the data to be processed according to a preset analysis algorithm to obtain a quantitative result corresponding to the analysis index comprises:
calculating target data under different dimensions corresponding to the analysis indexes according to the data to be processed;
and analyzing the target data under different dimensions according to a preset analysis algorithm to obtain quantitative results of different dimensions corresponding to the analysis indexes.
4. The method of claim 3, wherein the dimensions comprise a time dimension; the analyzing the target data under different dimensions according to a preset analysis algorithm to obtain the quantization results of different dimensions corresponding to the analysis indexes comprises:
and determining the data change rate of the target data in the time dimension according to the target data and the analysis algorithm to obtain a quantitative result corresponding to the analysis index in the time dimension.
5. The method of claim 3, wherein the dimensions comprise a region dimension; the analyzing the target data under different dimensions according to a preset analysis algorithm to obtain the quantization results of different dimensions corresponding to the analysis indexes comprises:
determining the data change conditions of the target data of different region dimensions in the same time period according to the target data and the analysis algorithm;
and determining a quantitative result corresponding to the analysis index according to the change condition of the target data of different region dimensions.
6. The method of claim 1, further comprising:
and displaying the quantitative results of different dimensions corresponding to the analysis indexes on a display interface.
7. A data analysis system is characterized by comprising a plurality of analysis index modules, a data acquisition module and a data display module; each analysis index module comprises a data determining unit and a data analyzing unit;
the data acquisition module is used for acquiring monitoring data of the power monitoring equipment under different dimensions;
the data determining unit is used for determining to-be-processed data corresponding to the analysis index from the monitoring data according to a preset analysis index;
the data analysis unit is used for analyzing the data to be processed according to a preset analysis algorithm to obtain a quantitative result corresponding to the analysis index;
and the data display module is used for displaying the quantitative results of different dimensions corresponding to the analysis indexes on a display interface.
8. A data analysis apparatus, characterized in that the apparatus comprises:
the acquisition module is used for acquiring monitoring data of the power monitoring equipment under different dimensions;
the determining module is used for determining to-be-processed data corresponding to the analysis index from the monitoring data according to a preset analysis index;
and the analysis module is used for analyzing the data to be processed according to a preset analysis algorithm to obtain a quantitative result corresponding to the analysis index.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 6.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113434575A (en) * | 2021-06-30 | 2021-09-24 | 平安普惠企业管理有限公司 | Data attribution processing method and device based on data warehouse and storage medium |
| CN115512458A (en) * | 2022-09-27 | 2022-12-23 | 上汽通用五菱汽车股份有限公司 | Monitoring data analysis method, device, equipment and storage medium |
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2021
- 2021-03-12 CN CN202110268765.3A patent/CN112990696A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113434575A (en) * | 2021-06-30 | 2021-09-24 | 平安普惠企业管理有限公司 | Data attribution processing method and device based on data warehouse and storage medium |
| CN113434575B (en) * | 2021-06-30 | 2023-09-08 | 上海赢链通网络科技有限公司 | Data attribution processing method, device and storage medium based on data warehouse |
| CN115512458A (en) * | 2022-09-27 | 2022-12-23 | 上汽通用五菱汽车股份有限公司 | Monitoring data analysis method, device, equipment and storage medium |
| CN115512458B (en) * | 2022-09-27 | 2023-09-15 | 上汽通用五菱汽车股份有限公司 | Monitoring data analysis method, device, equipment and storage medium |
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