CN114487663A - Power consumption abnormality analysis method and device, electronic device, and storage medium - Google Patents
Power consumption abnormality analysis method and device, electronic device, and storage medium Download PDFInfo
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- CN114487663A CN114487663A CN202210027715.0A CN202210027715A CN114487663A CN 114487663 A CN114487663 A CN 114487663A CN 202210027715 A CN202210027715 A CN 202210027715A CN 114487663 A CN114487663 A CN 114487663A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R22/00—Arrangements for measuring time integral of electric power or current, e.g. electricity meters
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/242—Home appliances
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Abstract
The application relates to a power utilization abnormity analysis method and device, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring electric quantity change information, wherein the electric quantity change information is used for representing the electricity utilization change condition of the electric equipment; and determining an analysis result according to the power consumption demand information and the electric quantity change information, wherein the power consumption demand information is used for representing the power consumption demand change condition of the electric equipment, and the analysis result is used for representing whether the electric equipment is abnormal in power consumption. The power utilization abnormity monitoring method solves the technical problem that in the related art, the power utilization abnormity monitoring method cannot locate specific equipment to cause power utilization faults and is difficult to solve.
Description
Technical Field
The application relates to the field of smart home, in particular to a power utilization abnormity analysis method and device, electronic equipment and a storage medium.
Background
The internet of things is that articles are connected with the internet through information sensing equipment such as radio frequency identification and the like, so that intelligent identification management is realized. With the development of the internet of things technology, people gradually have higher requirements on smart homes. The power consumption abnormity monitoring method in the related technology is used for monitoring the total power consumption of a user, and when the power consumption suddenly increases, the user is reminded to troubleshoot power consumption faults, but because the household power consumption equipment is numerous, the time and the power consumption are wasted in one-by-one troubleshooting, and the user is difficult to find the equipment with power consumption abnormity in time.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The application provides a power utilization abnormity analysis method and device, electronic equipment and a storage medium, and aims to at least solve the technical problem that in the related technology, a power utilization abnormity monitoring method cannot locate specific equipment to cause power utilization faults to be difficult to solve.
According to an aspect of an embodiment of the present application, there is provided a power consumption abnormality analysis method, including: acquiring electric quantity change information, wherein the electric quantity change information is used for representing the electricity utilization change condition of the electric equipment; and determining an analysis result according to the power consumption demand information and the electric quantity change information, wherein the power consumption demand information is used for representing the power consumption demand change condition of the electric equipment, and the analysis result is used for representing whether the electric equipment is abnormal in power consumption.
According to another aspect of the embodiments of the present application, there is also provided an electricity abnormality analysis apparatus including: the acquisition module is used for acquiring electric quantity change information, wherein the electric quantity change information is used for representing the electricity utilization change condition of the electric equipment; and the analysis module is used for determining an analysis result according to the power consumption demand information and the electric quantity change information, wherein the power consumption demand information is used for representing the power consumption demand change condition of the power consumption equipment, and the analysis result is used for representing whether the power consumption of the power consumption equipment is abnormal or not.
According to another aspect of the embodiments of the present application, there is also provided a storage medium including a stored program which, when executed, performs the above-described method.
According to another aspect of the embodiments of the present application, there is also provided an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the above method through the computer program.
According to an aspect of the application, a computer program product or computer program is provided, comprising computer instructions, the computer instructions being stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions to cause the computer device to perform the steps of any of the embodiments of the method described above.
In the embodiment of the application, the method for acquiring the electricity quantity change information is adopted, wherein the electricity quantity change information is used for representing the electricity consumption change condition of the electric equipment, and the analysis result is determined according to the electricity consumption demand information and the electricity quantity change information, wherein the electricity consumption demand information is used for representing the electricity consumption change condition of the electric equipment, and the analysis result is used for representing the way whether the electric equipment is abnormal in electricity consumption or not Energy consumption is reduced.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a schematic diagram of a hardware environment for a power usage anomaly analysis method according to an embodiment of the present application;
FIG. 2 is a flow chart of an alternative power usage anomaly analysis method according to an embodiment of the present application;
FIG. 3 is an alternative overall service flow diagram according to an embodiment of the present application;
FIG. 4 is a schematic diagram of an alternative power utilization anomaly determination algorithm according to an embodiment of the present application;
FIG. 5 is a schematic diagram of an alternative power anomaly analysis device according to an embodiment of the present application; and the number of the first and second groups,
fig. 6 is a block diagram of a terminal according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
According to an aspect of the embodiments of the present application, there is provided an embodiment of a method for analyzing a power consumption abnormality.
Alternatively, in this embodiment, the power consumption abnormality analysis method may be applied to a hardware environment formed by the terminal 101 and the server 103 as shown in fig. 1. As shown in fig. 1, a server 103 is connected to a terminal 101 through a network, which may be used to provide a power consumption abnormality analysis service for the terminal or a client installed on the terminal, and a database 105 may be provided on the server or separately from the server, and is used to provide a data storage service for the server 103, where the network includes but is not limited to: the terminal 101 is not limited to a PC, a mobile phone, a tablet computer, and the like. The power consumption abnormality analysis method according to the embodiment of the present application may be executed by the server 103, the terminal 101, or both the server 103 and the terminal 101. The terminal 101 may execute the power consumption abnormality analysis method according to the embodiment of the present application by a client installed thereon. The following description will be given by taking an example of executing the power consumption abnormality analysis method according to the embodiment of the present application on a server.
Fig. 2 is a flowchart of an alternative power consumption abnormality analysis method according to an embodiment of the present application, and as shown in fig. 2, the method may include the following steps:
step S202, a server acquires electric quantity change information, wherein the electric quantity change information is used for representing the electricity utilization change condition of electric equipment;
and S204, the server determines an analysis result according to the power consumption demand information and the electric quantity change information, wherein the power consumption demand information is used for indicating the power consumption demand change condition of the power consumption equipment, and the analysis result is used for indicating whether the power consumption of the power consumption equipment is abnormal or not.
Through the steps S202 to S204, the power utilization change conditions of different power utilization devices are monitored respectively, the change of the power utilization amount is analyzed by combining the change conditions of the power utilization requirements, the power utilization abnormity analysis result of the power utilization devices is obtained, the purpose of monitoring the power utilization abnormity is achieved, more accurate and efficient information prompt is brought to a user, the technical problem that the power utilization faults are difficult to solve due to the fact that specific devices cannot be located by a power utilization abnormity monitoring method in the related technology is solved, the intelligence of monitoring the power utilization abnormity is improved, and the energy loss is reduced.
In the technical solution provided in step S202, the server obtains power change information, where the power change information is used to indicate a power consumption change condition of the power consumption device.
The electricity quantity change information can be the change condition of the current electricity consumption of the electric equipment relative to the historical electricity consumption and is used for judging whether the current electricity consumption of the electric equipment has the phenomenon of sudden increase or sudden decrease; the electricity quantity change information can also be the change condition of the current electricity consumption of the electric equipment relative to the normal electricity consumption, and is used for judging whether the current electricity consumption of the electric equipment exceeds the normal electricity consumption range so as to find the electric equipment which is possible to have the abnormal electricity consumption condition in time; the electricity consumption change information may be expressed in various forms, for example, in the form of a difference between electricity consumptions before and after the change, a change rate of the electricity consumption, or the like.
The electric equipment can be all electric equipment which has an electric quantity reporting function and can be networked, such as refrigeration equipment, heating equipment, a sweeper, a refrigerator and the like, and can also be electric equipment which can detect the electric quantity through other technical means; the number of the devices included in the electric device is not limited, and the electric device may be one electric device, such as one washing machine, one electric system including a plurality of online devices, such as a central air conditioning system, or a plurality of electric devices of the same type, such as a set of sound devices, or a plurality of devices which are determined according to user requirements and need to monitor whether the electricity consumption is abnormal or not.
In the technical solution provided in step S204, the server determines an analysis result according to the power demand information and the power change information, where the power demand information is used to indicate a power demand change condition of the electric device, and the analysis result is used to indicate whether the electric device is abnormal in power consumption.
The power demand information is expected to be the change of power demand caused by the change of the current equipment quantity, environmental parameters, the number of users and the like according to different properties of the power equipment. For example, for an on-line device such as a central air conditioning system, the change of the number of rooms using electricity (i.e., the number of devices) affects the demand for electricity, for an environmental conditioning device such as a refrigeration device or a heating device, environmental parameters (e.g., temperature and humidity) affect the demand for electricity, and for a multi-user shared device such as a washing machine or a water heater, the number of households affects the demand for electricity.
As an alternative embodiment, the server may obtain the power variation information by: the server acquires historical electric quantity and target electric quantity, wherein the historical electric quantity is used for representing the electricity consumption of the electric equipment in a historical period, the target electric quantity is used for representing the electricity consumption of the electric equipment in a current period, and the electric quantity change information comprises the historical electric quantity and the target electric quantity.
Optionally, in this embodiment, the electric device is an internet of things device, the electric device reports the used electric quantity to the server every two hours, the server stores the electric consumption condition of the electric device including the time tag, and the server obtains the electric quantity change information by obtaining the accumulated electric quantity of the week and the accumulated electric quantity of the last week.
Optionally, in this embodiment, the power change information is a power consumption change rate, and the server determines that the analysis result is that the power consumption of the electrical device is normal when the power consumption change rate of the target power amount relative to the historical power amount does not exceed a first threshold, where the first threshold is a critical value used for determining whether the electrical device needs to perform power consumption abnormality analysis; and under the condition that the electricity utilization change rate exceeds a first threshold value, determining an analysis result according to the electricity utilization demand information and the electricity quantity change information.
Optionally, in this embodiment, the first threshold may be determined according to a user requirement, and may be a numerical value or an interval, for example, whether the refrigerator is normally operated is monitored, the first threshold may be set to an interval greater than-20% and less than 20%, when a change rate of the power consumption of the refrigerator in the current week relative to the last week is 10% (the power consumption is increased by 10% relative to the last week), the analysis result is determined as the normal operation of the refrigerator, and when the change rate of the power consumption of the refrigerator in the current week relative to the last week is-30% (the power consumption is decreased by 30% relative to the last week), in a normal situation, the refrigerator may maintain an operating state for a long time to ensure a safety effect of food, and if the power consumption of the refrigerator is significantly decreased, it is indicated that the refrigerator may malfunction, further analysis needs to be performed according to the power consumption requirement information and the power consumption change information, and the analysis result is determined.
Optionally, in this embodiment, when the power change information matches the power demand information, it is determined that the power consumption of the power consumption device is normal according to the analysis result; and under the condition that the electric quantity change information is not matched with the power consumption demand information, determining that the analysis result is abnormal power consumption of the electric equipment. The matching of the electricity quantity change information and the electricity demand can mean that the change direction of the electricity consumption is consistent with the change direction of the electricity demand or the change amplitude is close to the change direction of the electricity demand, and whether the change direction is consistent can be determined by the positive and negative signs of the change rate of the electricity consumption and the change direction, for example, when the electricity consumption change rate displayed in the electricity quantity change information is 50%, and the electricity demand change rate displayed in the electricity demand information is-20%, it is indicated that the change directions are inconsistent, the electricity quantity change information is not matched with the electricity demand information, and the analysis result is determined to be electricity consumption abnormality of the electricity consumption equipment; whether the change amplitudes are close or not can be judged according to the difference value of the change rates of the two, for example, if the difference value of the change rates of the two is not more than 10%, the power utilization is normal, if the power utilization change rate displayed in the power change information is 50%, the power utilization demand change rate displayed in the power utilization demand information is 45%, and the difference value of the change rates of the two is 5%, the analysis result is that the power utilization of the power utilization equipment is normal.
Optionally, in this embodiment, when the analysis result is that the power consumption of the electrical equipment is abnormal, the server sends a prompt message, where the prompt message is used to prompt the user to investigate whether the power consumption of the electrical equipment is abnormal. The manner of sending the prompt information by the server includes, but is not limited to, controlling the designated device to flash an indicator light, and controlling the designated device to send a sound prompt signal or voice prompt, for example, when the analysis result is that the power consumption of the electric equipment is abnormal, the server sends a message to the user terminal device (a mobile phone, a controller, a smart speaker, etc.), so as to notify the user to check the abnormal power consumption of the equipment in time, and when the analysis result is that the power consumption of the electric equipment is normal, no prompt is given.
As an alternative embodiment, the server obtains a historical electric quantity and a target electric quantity, wherein the historical electric quantity is used for representing the electric consumption of the electric equipment in the historical period, the target electric quantity is used for representing the electric consumption of the electric equipment in the current period, and the electric quantity change information includes the historical electric quantity and the target electric quantity.
Optionally, in this embodiment, before determining the analysis result according to the power demand information and the power variation information, the server may obtain the power demand information as follows: acquiring index variation of the electric equipment, wherein the index variation is used for representing the change of the electric index of the electric equipment in the current period relative to the electric index in the historical period, and the electric index is an index influencing the electricity demand of the electric equipment; and determining a demand variation according to the index variation, wherein the demand variation is the variation of the electricity demand of the electric equipment in the current period relative to the electricity demand in the historical period under the influence of the electricity index.
The power consumption index is determined according to the property of the electric equipment, for example, in the case of a heating equipment, the air temperature is one of the indexes affecting the power consumption demand, when the air temperature is lowered, the heating equipment needs to increase the operation power, and for the power consumption index of the air temperature, the index change amount is the air temperature change amount. For different electricity utilization indexes, index variation of the electric equipment can be acquired in different modes, for example, for the electricity utilization index of air temperature, the weather can be inquired in the internet through positioning information to obtain the air temperature variation, the air temperature can also be detected through temperature detection equipment and stored in a server, and the air temperature variation can be inquired when electricity utilization demand information needs to be acquired; for the electricity utilization index of the number of users, the number of the users using the equipment can be detected by adopting infrared sensing equipment, the detected number of the users is stored in a server, the number variation is inquired when electricity utilization demand information needs to be acquired, inquiry information can also be sent to terminal equipment of the users, the number variation is acquired through the information fed back by the users, the electricity utilization condition of each room can be monitored, and when the number of the electricity utilization rooms is increased, the number of the users is judged to be increased; for the electricity utilization index of the number of times of use, each piece of electricity utilization equipment can upload the opening/closing record through the Internet of things, and the variable quantity of the number of times of use is obtained by inquiring when the electricity utilization demand information needs to be acquired.
Optionally, in this embodiment, the corresponding relationship between the electricity consumption index and the electricity consumption device, and the influence relationship between the index variation and the demand variation may be obtained through a large number of experiments and simulation tests, may be fixedly set and stored in the server, and may also allow the user to add, delete, and modify. For example, the influence of the air temperature change amount on the demand change amount of the air conditioner is that the electricity demand for one week increases by 15 kilowatt-hours every time the average air temperature rises by 1 degree celsius.
Optionally, in this embodiment, in a case that a value of the electricity consumption variation exceeding the demand variation reaches a second threshold, determining that the analysis result is an electricity abnormality of the electrical equipment, where the electricity consumption variation is a variation of the target electricity quantity with respect to the historical electricity quantity, the electricity demand information includes the demand variation, and the second threshold is a critical value for determining whether the electrical equipment is abnormal in electricity consumption; and under the condition that the numerical value of the electricity utilization variation exceeding the demand variation does not reach a second threshold value, determining that the analysis result is that the electricity utilization of the electric equipment is normal. For example, when the second threshold is 20 kilowatt hours, the electricity consumption variation is 45 kilowatt hours, and the demand variation is 20 kilowatt hours, the value of the electricity consumption variation exceeding the demand variation exceeds the second threshold, and the analysis result is determined to be abnormal electricity consumption.
Optionally, in this embodiment, when the analysis result is that the power consumption of the electrical equipment is abnormal, the server sends a prompt message, where the prompt message is used to prompt the user to investigate whether the power consumption of the electrical equipment is abnormal. The mode that the server sends the prompt message can also be that an instruction for turning on an indicator light is sent to the electric equipment, and under the condition that the indicator light is on, a user can know that the equipment is abnormal in electricity utilization.
As an alternative example, the following describes the technical solution of the present application in combination with the specific embodiments:
in this embodiment, the internet of things device reports the use electric quantity to the server every two hours. The server compares and stores the electricity utilization conditions of the equipment, and if a certain equipment is found to be greatly increased compared with the last week electricity utilization (for example, the equipment is increased by 20% compared with the last week electricity utilization), the abnormal equipment is analyzed to be abnormal in normal use or abnormal in electricity utilization through an algorithm. If the power consumption of the air conditioner fan is abnormal in normal use (for example, the power consumption of the air conditioner fan is increased due to weather temperature rise and the like), the user is not reminded, and if the power consumption of the equipment is abnormal (possible to cause circuit failure and the like), a short message or a popup reminder is sent to the client. The execution main bodies of the embodiment are the smart electrical device and the smart App (App, which refers to software installed on the smart phone). According to the embodiment, the intelligent App is required to be downloaded on the user terminal, and the equipment in the room is required to have the functions of electric quantity reporting and networking at the same time. A user registers and logs in an account on the intelligent App, and reported data are uniquely bound with the account. Fig. 3 is an alternative overall service flow diagram according to an embodiment of the present application.
Optionally, the electric equipment includes, but is not limited to, all electric equipment with an electric quantity reporting function and capable of being networked, such as a refrigeration equipment, a heating equipment, a sweeper, a refrigerator, and the like.
Optionally, the algorithm for analyzing whether the electricity consumption abnormality is detected includes, but is not limited to, a content part shown in a schematic diagram of an optional electricity consumption abnormality detection algorithm according to an embodiment of the present application as shown in fig. 4 (note: an increase in electricity consumption room represents an increase in the number of households; the shared device is a multi-user shared appliance such as a living room air conditioner, a household water heater, and the like).
Generally, equipment reports electric quantity information to an internet of things server at regular time (every two hours), the server merges and analyzes data reported by the internet of things, statistics and monitoring are carried out by taking weeks as units, if the electric quantity of certain equipment is excessively increased compared with the last week, an algorithm judges whether the electricity is normal or not (as shown in fig. 4), if the electricity is judged to be increased normally, no prompt is carried out, and if the electricity is increased abnormally, a user is reminded through an intelligent App. The power consumption abnormal condition can be timely and accurately found by the aid of the power consumption abnormal condition detection device, and energy consumption is reduced.
The specific implementation flow is as follows:
1. and the equipment reports the electric quantity information to the server at regular time.
2. And the server merges and counts the electric quantity information, and performs statistical analysis on the electricity consumption by taking weeks as a unit.
3. If the power consumption of a certain device is found to be greatly increased compared with the previous week (for example, the power consumption exceeds 20%), it indicates that the power consumption abnormality of the device may occur.
4. And the server calls an algorithm to judge whether the abnormity belongs to normal electricity consumption increase.
5. If the electricity consumption increasing condition is judged to be the normal electricity consumption requirement, the prompt is not given; and if the electricity consumption increasing condition is judged to belong to abnormal electricity consumption increase, sending a message to the user through the intelligent App, and informing the user to timely eliminate abnormal electricity consumption of the equipment.
The embodiment can accurately detect the abnormal electricity consumption to the abnormal condition of a certain device, and simultaneously analyze which electricity consumption is increased normally and which electricity consumption is increased abnormally through an algorithm. The user can more accurately find the abnormal condition of the power consumption of a certain device, and simultaneously find out abnormal power consumption and normal power consumption, so that more accurate and efficient information prompt is brought to the user, and the energy loss is reduced.
This scheme is through carrying out the monitoring of power consumption change condition respectively to different consumer, the change that combines the power consumption demand carries out the analysis to the change of power consumption, obtain the power consumption anomaly analysis result to consumer, the purpose of power consumption anomaly monitoring has been reached, bring more accurate efficient information prompt for the user, and then solved the power consumption anomaly monitoring method among the correlation technique and can't fix a position concrete equipment and cause the technical problem that the power consumption trouble is difficult to solve, thereby the intelligence of power consumption anomaly monitoring has been promoted, energy loss has been reduced.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present application.
According to another aspect of the embodiments of the present application, there is also provided a power consumption abnormality analysis apparatus for implementing the above power consumption abnormality analysis method. Fig. 5 is a schematic diagram of an alternative power consumption abnormality analysis apparatus according to an embodiment of the present application, and as shown in fig. 5, the apparatus may include:
the obtaining module 52 is configured to obtain power variation information, where the power variation information is used to indicate a power consumption variation condition of a power consumption device;
and the analysis module 54 is configured to determine an analysis result according to the power demand information and the power change information, where the power demand information is used to indicate a power demand change condition of the power consumption device, and the analysis result is used to indicate whether the power consumption device is abnormal.
It should be noted that the obtaining module 52 in this embodiment may be configured to execute step S202 in this embodiment, and the analyzing module 54 in this embodiment may be configured to execute step S204 in this embodiment.
It should be noted that the modules described above are the same as examples and application scenarios realized by corresponding steps, but are not limited to what is disclosed in the foregoing embodiments. It should be noted that the modules described above as a part of the apparatus may operate in a hardware environment as shown in fig. 1, and may be implemented by software or hardware.
Through the module, the technical problem that power utilization faults are difficult to solve because the power utilization abnormity monitoring method in the related technology cannot locate specific equipment is solved, so that the intelligence of power utilization abnormity monitoring is improved, and the energy loss is reduced.
Optionally, the obtaining module 52 is further configured to: acquiring historical electric quantity and target electric quantity, wherein the historical electric quantity is used for representing the electricity consumption of the electric equipment in a historical period, the target electric quantity is used for representing the electricity consumption of the electric equipment in the current period, and the electric quantity change information comprises the historical electric quantity and the target electric quantity.
As an alternative embodiment, the analysis module 54 is further configured to: determining that the analysis result is that the power consumption of the power consumption equipment is normal under the condition that the power consumption change rate of the target power consumption relative to the historical power consumption does not exceed a first threshold value, wherein the first threshold value is a critical value used for determining whether the power consumption equipment needs to be analyzed for power consumption abnormity; and under the condition that the electricity utilization change rate exceeds a first threshold value, determining an analysis result according to the electricity utilization demand information and the electricity quantity change information.
Optionally, the analysis module 54 is further configured to: under the condition that the electric quantity change information is matched with the electricity demand information, determining that the analysis result is that the electricity consumption of the electric equipment is normal; and under the condition that the electric quantity change information is not matched with the power consumption demand information, determining that the analysis result is abnormal power consumption of the electric equipment.
As an alternative embodiment, the analysis module 54 is further configured to: determining that the analysis result is abnormal electricity utilization of the electric equipment under the condition that the numerical value of the electricity utilization variation exceeding the demand variation reaches a second threshold, wherein the electricity utilization variation is the variation of the target electricity quantity relative to the historical electricity quantity, the electricity utilization demand information comprises the demand variation, and the second threshold is a critical value used for determining whether the electricity utilization of the electric equipment is abnormal; and under the condition that the numerical value of the electricity utilization variation exceeding the demand variation does not reach a second threshold value, determining that the analysis result is that the electricity utilization of the electric equipment is normal.
Optionally, the obtaining module 52 is further configured to: acquiring index variation of the electric equipment, wherein the index variation is used for representing the change of the electric index of the electric equipment in the current period relative to the electric index in the historical period, and the electric index is an index influencing the electricity demand of the electric equipment; and determining a demand variation according to the index variation, wherein the demand variation is the variation of the electricity demand of the electric equipment in the current period relative to the electricity demand in the historical period under the influence of the electricity index.
As an alternative embodiment, the analysis module 54 is further configured to: and sending prompt information under the condition that the analysis result is that the power utilization of the electric equipment is abnormal, wherein the prompt information is used for reminding a user to check whether the electric equipment is abnormal.
It should be noted here that the modules described above are the same as the examples and application scenarios implemented by the corresponding steps, but are not limited to the disclosure of the above embodiments. It should be noted that the modules described above as a part of the apparatus may be operated in a hardware environment as shown in fig. 1, and may be implemented by software, or may be implemented by hardware, where the hardware environment includes a network environment.
According to another aspect of the embodiment of the application, a server or a terminal for implementing the power consumption abnormality analysis method is further provided.
Fig. 6 is a block diagram of a terminal according to an embodiment of the present application, where as shown in fig. 6, the terminal may include: one or more processors 601 (only one of which is shown in fig. 6), a memory 603, and a transmitting device 605, as shown in fig. 6, the terminal may further include an input-output device 607.
The memory 603 may be configured to store software programs and modules, such as program instructions/modules corresponding to the power consumption abnormality analysis method and apparatus in the embodiment of the present application, and the processor 601 executes various functional applications and data processing by running the software programs and modules stored in the memory 603, that is, implementing the power consumption abnormality analysis method. The memory 603 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 603 can further include memory located remotely from the processor 601, which can be connected to the terminal over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The above-mentioned transmission device 605 is used for receiving or sending data via a network, and may also be used for data transmission between a processor and a memory. Examples of the network may include a wired network and a wireless network. In one example, the transmission device 605 includes a Network adapter (NIC) that can be connected to a router via a Network cable and other Network devices to communicate with the internet or a local area Network. In one example, the transmission device 605 is a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.
Among them, the memory 603 is used to store an application program, in particular.
The processor 601 may call the application stored in the memory 603 through the transmission device 605 to perform the following steps: acquiring electric quantity change information, wherein the electric quantity change information is used for representing the electricity utilization change condition of the electric equipment; and determining an analysis result according to the power consumption demand information and the electric quantity change information, wherein the power consumption demand information is used for representing the power consumption demand change condition of the electric equipment, and the analysis result is used for representing whether the electric equipment is abnormal in power consumption.
By adopting the embodiment of the application, a scheme for analyzing the power utilization abnormity is provided. Through carrying out the monitoring of the power consumption situation of change respectively to the consumer of difference, the change that combines the power consumption demand carries out the analysis to the change of power consumption, obtain the power consumption anomaly analysis result to the consumer, the purpose of power consumption anomaly monitoring has been reached, bring more accurate efficient information prompt for the user, and then solved the power consumption anomaly monitoring method among the correlation technique and can't fix a position concrete equipment and cause the technical problem that the power consumption trouble is difficult to solve, thereby the intelligence of power consumption anomaly monitoring has been promoted, energy loss has been reduced.
Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments, and this embodiment is not described herein again.
It can be understood by those skilled in the art that the structure shown in fig. 6 is only an illustration, and the terminal may be a terminal device such as a smart phone (e.g., an Android phone, an iOS phone, etc.), a tablet computer, a palm computer, and a Mobile Internet Device (MID), a PAD, etc. Fig. 6 is a diagram illustrating a structure of the electronic device. For example, the terminal may also include more or fewer components (e.g., network interfaces, display devices, etc.) than shown in FIG. 6, or have a different configuration than shown in FIG. 6.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by a program instructing hardware associated with the terminal device, where the program may be stored in a computer-readable storage medium, and the storage medium may include: flash disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
Embodiments of the present application also provide a storage medium. Alternatively, in this embodiment, the storage medium may be a program code for executing the power abnormality analysis method.
Optionally, in this embodiment, the storage medium may be located on at least one of a plurality of network devices in a network shown in the above embodiment.
Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps:
s1, acquiring power change information, wherein the power change information is used for representing the power consumption change condition of the power consumption equipment;
and S2, determining an analysis result according to the power consumption demand information and the power change information, wherein the power consumption demand information is used for representing the power consumption demand change condition of the power consumption equipment, and the analysis result is used for representing whether the power consumption of the power consumption equipment is abnormal or not.
Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments, and this embodiment is not described herein again.
Optionally, in this embodiment, the storage medium may include, but is not limited to: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
The integrated unit in the above embodiments, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in the above computer-readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a storage medium, and including instructions for causing one or more computer devices (which may be personal computers, servers, network devices, or the like) to execute all or part of the steps of the method described in the embodiments of the present application.
In the above embodiments of the present application, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed client may be implemented in other manners. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The foregoing is only a preferred embodiment of the present application and it should be noted that those skilled in the art can make several improvements and modifications without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.
Claims (10)
1. A power consumption abnormality analysis method is characterized by comprising the following steps:
acquiring electric quantity change information, wherein the electric quantity change information is used for representing the electricity utilization change condition of electric equipment;
and determining an analysis result according to the power consumption demand information and the electric quantity change information, wherein the power consumption demand information is used for representing the power consumption demand change condition of the electric equipment, and the analysis result is used for representing whether the electric equipment is abnormal in power consumption.
2. The method of claim 1, wherein the obtaining the power variation information comprises:
acquiring historical electric quantity and target electric quantity, wherein the historical electric quantity is used for representing the electricity consumption of the electric equipment in a historical period, the target electric quantity is used for representing the electricity consumption of the electric equipment in a current period, and the electric quantity change information comprises the historical electric quantity and the target electric quantity.
3. The method of claim 2, wherein determining the analysis result according to the power demand information and the power variation information comprises:
determining that the analysis result is that the electricity consumption of the electric equipment is normal under the condition that the electricity consumption change rate of the target electricity quantity relative to the historical electricity quantity does not exceed a first threshold value, wherein the first threshold value is a critical value used for determining whether the electric equipment needs to perform electricity consumption abnormity analysis;
and determining the analysis result according to the electricity demand information and the electricity quantity change information under the condition that the electricity utilization change rate exceeds the first threshold value.
4. The method according to claim 3, wherein determining the analysis result according to the power consumption demand information and the power amount change information in the case where the power consumption change rate exceeds the first threshold value includes:
under the condition that the electric quantity change information is matched with the electricity demand information, determining that the analysis result is that the electricity consumption of the electric equipment is normal;
and under the condition that the electric quantity change information is not matched with the electricity demand information, determining that the analysis result is that the electricity consumption of the electric equipment is abnormal.
5. The method of claim 2, wherein determining the analysis result according to the power demand information and the power variation information comprises:
determining that the analysis result is the abnormal electricity utilization of the electric equipment when the electricity utilization variation exceeds a value of a demand variation and reaches a second threshold, wherein the electricity utilization variation is a variation of the target electricity quantity relative to the historical electricity quantity, the electricity utilization demand information comprises the demand variation, and the second threshold is a critical value for determining whether the electricity utilization of the electric equipment is abnormal;
and under the condition that the power utilization variation exceeds the numerical value of the demand variation and does not reach a second threshold value, determining that the analysis result is that the power utilization of the electric equipment is normal.
6. The method of claim 5, wherein prior to determining the analysis result from the power demand information and the power change information, the method further comprises:
acquiring index variation of the electric equipment, wherein the index variation is used for representing the change of the electric index of the electric equipment in the current period relative to the electric index in the historical period, and the electric index is an index influencing the electricity demand of the electric equipment;
according to the index variation, determining the demand variation, wherein the demand variation is the variation of the power demand of the electric equipment in the current period relative to the power demand in the historical period under the influence of the power index.
7. The method according to any one of claims 1 to 6, wherein after determining the analysis result according to the power demand information and the power change information, the method further comprises:
and sending prompt information under the condition that the analysis result shows that the power utilization of the electric equipment is abnormal, wherein the prompt information is used for reminding a user to check whether the electric equipment is abnormal.
8. An electricity consumption abnormality analysis device, characterized by comprising:
the acquisition module is used for acquiring electric quantity change information, wherein the electric quantity change information is used for representing the electricity utilization change condition of the electric equipment;
the analysis module is used for determining an analysis result according to the power consumption demand information and the electric quantity change information, wherein the power consumption demand information is used for representing the power consumption demand change condition of the electric equipment, and the analysis result is used for representing whether the electric equipment is abnormal in power consumption.
9. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor executes the steps of the power abnormality analysis method according to any one of claims 1 to 7 by using the computer program.
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 power usage abnormality analysis method according to any one of claims 1 to 7.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117907677A (en) * | 2024-03-13 | 2024-04-19 | 国网山东省电力公司营销服务中心(计量中心) | Electric quantity monitoring device and electric quantity monitoring method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117907677A (en) * | 2024-03-13 | 2024-04-19 | 国网山东省电力公司营销服务中心(计量中心) | Electric quantity monitoring device and electric quantity monitoring method |
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