CN117077899A - Intelligent park energy consumption anomaly monitoring and analyzing method, system, terminal and medium - Google Patents
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Abstract
The application discloses a monitoring and analyzing method, a system, a terminal and a medium for energy consumption abnormality of an intelligent park, which relate to the technical field of data analysis and have the technical scheme that: collecting a real-time energy consumption value of electric equipment; determining an energy increment coefficient according to the ratio of the real-time energy consumption value to the historical energy consumption value; establishing energy consumption distribution according to the energy increment coefficient; calculating an energy increment coefficient mean value in a first diameter range and an energy increment coefficient mean value in a second diameter range in the energy consumption distribution diagram; calculating the difference between the two energy increment coefficient mean values to obtain a coefficient fall value, and outputting an abnormal signal when the coefficient fall value exceeds a fall threshold; and carrying out abnormality early warning on the electric equipment in the second diameter range in the energy consumption distribution diagram according to the abnormality signal. The application reduces the occurrence of misjudgment in the intelligent park energy consumption abnormality monitoring process, and the whole process does not need to continuously adjust the set threshold value of abnormality judgment, thereby effectively improving the stability and reliability of intelligent park energy consumption abnormality monitoring.
Description
Technical Field
The application relates to the technical field of data analysis, in particular to a method, a system, a terminal and a medium for monitoring and analyzing energy consumption abnormality of an intelligent park.
Background
The intelligent park energy consumption monitoring mainly provides basic data for realizing park energy consumption scheduling and early warning of park energy consumption abnormality. For realizing the early warning function of park energy consumption abnormality, generally, intelligent ammeter or sensor equipment is adopted to collect the electricity consumption data of each electric equipment in real time, then the collected electricity consumption data is compared with the previous electricity consumption data to judge, when the difference between the collected electricity consumption data and the previous electricity consumption data exceeds a set threshold value, the corresponding electric equipment is judged to be in an abnormal electricity consumption state.
However, the electricity consumption data of the electric equipment are directly compared and judged, so that the electricity consumption difference caused by the business change of the campus enterprise is easily ignored, so that a large number of normal electric equipment are misjudged as abnormal electric equipment, the workload of abnormal condition confirmation is improved, and the electricity consumption requirement of an enterprise is continuously improved in the business development stage; in addition, along with factors such as seasonal variation, trade economic change influence, the electricity consumption data of same consumer has the difference at different times, in order to ensure the accuracy and the reliability of the abnormal monitoring of wisdom garden power consumption, need constantly adjust foretell settlement threshold value, reduced the stability of the abnormal monitoring of whole wisdom garden power consumption to a certain extent.
Therefore, how to research and design a method, a system, a terminal and a medium for monitoring and analyzing the energy consumption abnormality of the intelligent park, which can overcome the defects, is an urgent problem to be solved at present.
Disclosure of Invention
In order to solve the defects in the prior art, the application aims to provide the intelligent park energy consumption abnormality monitoring and analyzing method, the system, the terminal and the medium, so that the occurrence of misjudgment in the intelligent park energy consumption abnormality monitoring process is reduced, the whole process does not need to continuously adjust the set threshold value of abnormality judgment, and the stability and the reliability of intelligent park energy consumption abnormality monitoring are effectively improved.
The technical aim of the application is realized by the following technical scheme:
in a first aspect, a method for monitoring and analyzing energy consumption abnormality of an intelligent park is provided, which includes the following steps:
collecting real-time energy consumption values of all electric equipment in an electricity utilization unit in a current period;
determining an energy increment coefficient of the corresponding electric equipment according to the ratio of the real-time energy consumption value to the historical energy consumption value of the corresponding electric equipment in the historical period;
establishing an energy consumption distribution diagram of an electricity unit according to the energy increment coefficients of all electric equipment, wherein the energy increment coefficient of the central position in the energy consumption distribution diagram is larger than that of the edge position;
calculating an energy increment coefficient mean value in a first diameter range and an energy increment coefficient mean value in a second diameter range in the energy consumption distribution diagram, wherein the diameter of the first diameter range is larger than that of the second diameter range;
calculating to obtain a coefficient drop value according to the difference between the energy increment coefficient mean value in the second diameter range and the energy increment coefficient mean value in the first diameter range, and outputting an abnormal signal when the coefficient drop value exceeds a drop threshold;
and carrying out abnormality early warning on the electric equipment in the second diameter range in the energy consumption distribution diagram according to the abnormality signal.
Further, the historical energy consumption value of the historical period is an average value of energy consumption values corresponding to all moments in the historical period.
Further, the energy consumption distribution diagram of the electricity consumption unit is specifically established by the following steps:
establishing a grid base diagram formed by closely arranging a plurality of unit grids, wherein each unit grid corresponds to one electric equipment;
and filling corresponding numerical values or colors into the corresponding unit grids according to the energy increment coefficients to obtain an energy consumption distribution diagram.
Further, a ratio of a diameter of the first diameter range to a diameter of the second diameter range is not less than 2:1.
further, the current period of time adopts any one of one day, one hour and half hour;
the history period takes any one of half year, quarter, month and week.
Further, the electricity consumption units are divided by enterprises, floors or buildings.
Further, the abnormality early warning process specifically includes:
the energy consumption distribution diagram is visually displayed in a thermodynamic diagram mode;
flashing and/or voice alerting the region of the second diameter range in the energy consumption profile.
In a second aspect, an energy consumption anomaly monitoring and analyzing system for an intelligent park is provided, including:
the data acquisition module is used for acquiring the real-time energy consumption value of each electric equipment in the electricity utilization unit in the current period;
the increment analysis module is used for determining an energy increment coefficient of the corresponding electric equipment according to the ratio of the real-time energy consumption value to the historical energy consumption value of the corresponding electric equipment in the historical period;
the distribution diagram construction module is used for building an energy consumption distribution diagram of an electricity unit according to the energy increment coefficients of all electric equipment, wherein the energy increment coefficient of the central position in the energy consumption distribution diagram is larger than that of the edge position;
the average value calculation module is used for calculating an energy increment coefficient average value in a first diameter range and an energy increment coefficient average value in a second diameter range in the energy consumption distribution diagram, wherein the diameter of the first diameter range is larger than that of the second diameter range;
the abnormality judgment module is used for calculating to obtain a coefficient drop value according to the difference between the energy increment coefficient mean value in the second diameter range and the energy increment coefficient mean value in the first diameter range, and outputting an abnormality signal when the coefficient drop value exceeds a drop threshold;
and the abnormality early warning module is used for carrying out abnormality early warning on the electric equipment in the second diameter range in the energy consumption distribution diagram according to the abnormality signal.
In a third aspect, a computer terminal is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements a method for monitoring and analyzing energy consumption anomalies in an intelligent campus according to any one of the first aspects when executing the program.
In a fourth aspect, a computer readable medium is provided, on which a computer program is stored, the computer program being executable by a processor to implement a method for monitoring and analyzing energy consumption anomalies in a smart park according to any one of the first aspects.
Compared with the prior art, the application has the following beneficial effects:
1. according to the intelligent park energy consumption anomaly monitoring and analyzing method provided by the application, the energy increment coefficient of the corresponding electric equipment is determined according to the ratio of the real-time energy consumption value to the historical energy consumption value of the corresponding electric equipment in the historical period, whether the electric equipment is in the anomaly condition with potential safety hazards or not is judged according to the coefficient fall condition in two different diameter ranges in the energy consumption distribution map, the occurrence of misjudgment in the intelligent park energy consumption anomaly monitoring process is reduced, the setting threshold value of anomaly judgment is not required to be continuously adjusted in the whole process, and the stability and reliability of intelligent park energy consumption anomaly monitoring are effectively improved;
2. the application takes the average value of the energy consumption values corresponding to all moments in the historical period as the historical energy consumption value of the historical period, so that the influence of randomness and fluctuation of electricity consumption on the accuracy of anomaly monitoring can be reduced;
3. the application can not only synchronously monitor the abnormality of all the electric equipment in the whole electricity utilization unit, but also accurately position the electric equipment with abnormal conditions, thereby improving the work efficiency of abnormal inspection.
Drawings
The accompanying drawings, which are included to provide a further understanding of embodiments of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the principles of the application. In the drawings:
FIG. 1 is a flow chart in embodiment 1 of the present application;
fig. 2 is a system block diagram in embodiment 2 of the present application.
Detailed Description
For the purpose of making apparent the objects, technical solutions and advantages of the present application, the present application will be further described in detail with reference to the following examples and the accompanying drawings, wherein the exemplary embodiments of the present application and the descriptions thereof are for illustrating the present application only and are not to be construed as limiting the present application.
Example 1: an intelligent park energy consumption abnormality monitoring and analyzing method, as shown in figure 1, comprises the following steps:
s1: collecting real-time energy consumption values of all electric equipment in an electricity utilization unit in a current period;
s2: determining an energy increment coefficient of the corresponding electric equipment according to the ratio of the real-time energy consumption value to the historical energy consumption value of the corresponding electric equipment in the historical period;
s3: establishing an energy consumption distribution diagram of an electricity unit according to the energy increment coefficients of all electric equipment, wherein the energy increment coefficient of the central position in the energy consumption distribution diagram is larger than that of the edge position;
s4: calculating an energy increment coefficient mean value in a first diameter range and an energy increment coefficient mean value in a second diameter range in the energy consumption distribution diagram, wherein the diameter of the first diameter range is larger than that of the second diameter range;
s5: calculating to obtain a coefficient drop value according to the difference between the energy increment coefficient mean value in the second diameter range and the energy increment coefficient mean value in the first diameter range, and outputting an abnormal signal when the coefficient drop value exceeds a drop threshold;
s6: and carrying out abnormality early warning on the electric equipment in the second diameter range in the energy consumption distribution diagram according to the abnormality signal.
The application can not only synchronously monitor the abnormality of all the electric equipment in the whole electricity utilization unit, but also accurately position the electric equipment with abnormal conditions, thereby improving the work efficiency of abnormal inspection.
In this embodiment, the historical energy consumption value of the historical period is an average value of energy consumption values corresponding to all moments in the historical period, so that the influence of randomness and fluctuation of electricity consumption on the accuracy of anomaly monitoring can be reduced. The historical period may be half a year and a quarter, or a month and a week. Further, the current time period may take one day and one hour, and may take half an hour and 15 minutes. The duration of the historical period and the current period can be flexibly selected according to requirements, and is not limited herein.
In this embodiment, the energy consumption profile creation process of the electricity consumption unit specifically includes: establishing a grid base diagram formed by closely arranging a plurality of unit grids, wherein each unit grid corresponds to one electric equipment; and filling corresponding numerical values or colors into the corresponding unit grids according to the energy increment coefficients to obtain an energy consumption distribution diagram.
The shape of the unit mesh in the mesh base graph is not limited, and can be round, rectangular, triangular or other polygons. Each unit grid is configured with additional information of the corresponding electric equipment, wherein the additional information comprises, but is not limited to, the name of an enterprise where the electric equipment is located, the area range of the electric equipment, the attribute of a room where the electric equipment is located, and the like, such as: restaurants, conference rooms, stairways, toilets, workspaces, workshops, machine rooms, etc.
In general, the ratio of the diameter of the first diameter range to the diameter of the second diameter range is not less than 2:1, the specific distribution of the material can be flexibly adjusted according to the requirements. When calculating the coefficient drop value, the energy increment coefficient mean value corresponding to the large diameter range is subtracted from the energy increment coefficient mean value corresponding to the small diameter range, and the drop threshold is a positive value.
In this embodiment, the electricity consumption units are divided by enterprises, that is, an independent enterprise is an electricity consumption unit, and may be further divided by floors or buildings.
In this embodiment, the process of abnormality early warning specifically includes: the energy consumption distribution diagram is visually displayed in a thermodynamic diagram mode; flashing and/or voice alerting the region of the second diameter range in the energy consumption profile.
Example 2: the system is used for realizing the intelligent park energy consumption abnormality monitoring and analyzing method described in the embodiment 1, and as shown in fig. 2, the system comprises a data acquisition module, an incremental analysis module, a distribution diagram construction module, a mean value calculation module, an abnormality judgment module and an abnormality early warning module.
The data acquisition module is used for acquiring the real-time energy consumption value of each electric equipment in the electricity utilization unit in the current period; the increment analysis module is used for determining an energy increment coefficient of the corresponding electric equipment according to the ratio of the real-time energy consumption value to the historical energy consumption value of the corresponding electric equipment in the historical period; the distribution diagram construction module is used for building an energy consumption distribution diagram of an electricity unit according to the energy increment coefficients of all electric equipment, wherein the energy increment coefficient of the central position in the energy consumption distribution diagram is larger than that of the edge position; the average value calculation module is used for calculating an energy increment coefficient average value in a first diameter range and an energy increment coefficient average value in a second diameter range in the energy consumption distribution diagram, wherein the diameter of the first diameter range is larger than that of the second diameter range; the abnormality judgment module is used for calculating to obtain a coefficient drop value according to the difference between the energy increment coefficient mean value in the second diameter range and the energy increment coefficient mean value in the first diameter range, and outputting an abnormality signal when the coefficient drop value exceeds a drop threshold; and the abnormality early warning module is used for carrying out abnormality early warning on the electric equipment in the second diameter range in the energy consumption distribution diagram according to the abnormality signal.
Working principle: according to the method, the energy increment coefficient of the corresponding electric equipment is determined according to the ratio of the real-time energy consumption value to the historical energy consumption value of the corresponding electric equipment in the historical period, whether the electric equipment is in the abnormal condition with potential safety hazards or not is judged according to the coefficient fall conditions in two different diameter ranges in the energy consumption distribution diagram, the occurrence of misjudgment in the intelligent park energy consumption abnormal monitoring process is reduced, the set threshold value of abnormal judgment is not required to be continuously adjusted in the whole process, and the stability and reliability of intelligent park energy consumption abnormal monitoring are effectively improved.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The foregoing detailed description of the application has been presented for purposes of illustration and description, and it should be understood that the application is not limited to the particular embodiments disclosed, but is intended to cover all modifications, equivalents, alternatives, and improvements within the spirit and principles of the application.
Claims (10)
1. The intelligent park energy consumption abnormality monitoring and analyzing method is characterized by comprising the following steps:
collecting real-time energy consumption values of all electric equipment in an electricity utilization unit in a current period;
determining an energy increment coefficient of the corresponding electric equipment according to the ratio of the real-time energy consumption value to the historical energy consumption value of the corresponding electric equipment in the historical period;
establishing an energy consumption distribution diagram of an electricity unit according to the energy increment coefficients of all electric equipment, wherein the energy increment coefficient of the central position in the energy consumption distribution diagram is larger than that of the edge position;
calculating an energy increment coefficient mean value in a first diameter range and an energy increment coefficient mean value in a second diameter range in the energy consumption distribution diagram, wherein the diameter of the first diameter range is larger than that of the second diameter range;
calculating to obtain a coefficient drop value according to the difference between the energy increment coefficient mean value in the second diameter range and the energy increment coefficient mean value in the first diameter range, and outputting an abnormal signal when the coefficient drop value exceeds a drop threshold;
and carrying out abnormality early warning on the electric equipment in the second diameter range in the energy consumption distribution diagram according to the abnormality signal.
2. The method for monitoring and analyzing energy consumption abnormality of an intelligent park according to claim 1, wherein the historical energy consumption value of the historical period is an average value of energy consumption values corresponding to all moments in the historical period.
3. The method for monitoring and analyzing the energy consumption abnormality of the intelligent park according to claim 1, wherein the energy consumption distribution diagram of the electricity consumption unit is established by the following steps:
establishing a grid base diagram formed by closely arranging a plurality of unit grids, wherein each unit grid corresponds to one electric equipment;
and filling corresponding numerical values or colors into the corresponding unit grids according to the energy increment coefficients to obtain an energy consumption distribution diagram.
4. The method for monitoring and analyzing energy consumption abnormality of intelligent park according to claim 1, wherein the ratio of the diameter of the first diameter range to the diameter of the second diameter range is not less than 2:1.
5. the method for monitoring and analyzing the energy consumption abnormality of the intelligent park according to claim 1, wherein the current period of time is any one of one day, one hour and half hour;
the history period takes any one of half year, quarter, month and week.
6. The method for monitoring and analyzing energy consumption abnormality of intelligent park according to claim 1, wherein the electricity consumption units are divided by enterprises, floors or buildings.
7. The method for monitoring and analyzing the energy consumption abnormality of the intelligent park according to claim 1, wherein the abnormality early warning process specifically comprises the following steps:
the energy consumption distribution diagram is visually displayed in a thermodynamic diagram mode;
flashing and/or voice alerting the region of the second diameter range in the energy consumption profile.
8. An energy consumption anomaly monitoring and analyzing system for an intelligent park is characterized by comprising:
the data acquisition module is used for acquiring the real-time energy consumption value of each electric equipment in the electricity utilization unit in the current period;
the increment analysis module is used for determining an energy increment coefficient of the corresponding electric equipment according to the ratio of the real-time energy consumption value to the historical energy consumption value of the corresponding electric equipment in the historical period;
the distribution diagram construction module is used for building an energy consumption distribution diagram of an electricity unit according to the energy increment coefficients of all electric equipment, wherein the energy increment coefficient of the central position in the energy consumption distribution diagram is larger than that of the edge position;
the average value calculation module is used for calculating an energy increment coefficient average value in a first diameter range and an energy increment coefficient average value in a second diameter range in the energy consumption distribution diagram, wherein the diameter of the first diameter range is larger than that of the second diameter range;
the abnormality judgment module is used for calculating to obtain a coefficient drop value according to the difference between the energy increment coefficient mean value in the second diameter range and the energy increment coefficient mean value in the first diameter range, and outputting an abnormality signal when the coefficient drop value exceeds a drop threshold;
and the abnormality early warning module is used for carrying out abnormality early warning on the electric equipment in the second diameter range in the energy consumption distribution diagram according to the abnormality signal.
9. A computer terminal comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements a method for monitoring and analyzing energy consumption anomalies in an intelligent park as claimed in any one of claims 1 to 7 when executing the program.
10. A computer readable medium having a computer program stored thereon, wherein execution of the computer program by a processor implements a method for monitoring and analyzing energy consumption anomalies in a smart park as claimed in any one of claims 1 to 7.
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| CN117421690A (en) * | 2023-12-18 | 2024-01-19 | 中节能物业管理有限公司 | Intelligent park energy consumption real-time monitoring method and system |
| CN117951502A (en) * | 2024-03-26 | 2024-04-30 | 国网江苏省电力有限公司苏州供电分公司 | Intelligent park collection-oriented electricity consumption pretreatment device and method |
| CN118052593A (en) * | 2024-04-16 | 2024-05-17 | 四川邕合科技有限公司 | Campus abnormal energy user identification method and system based on big data |
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