CN111289813A - Power utilization abnormity judgment method and device, storage medium and server - Google Patents
Power utilization abnormity judgment method and device, storage medium and server Download PDFInfo
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- CN111289813A CN111289813A CN201811495165.5A CN201811495165A CN111289813A CN 111289813 A CN111289813 A CN 111289813A CN 201811495165 A CN201811495165 A CN 201811495165A CN 111289813 A CN111289813 A CN 111289813A
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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
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
Abstract
The invention provides a method, a device, a storage medium and a server for judging electricity utilization abnormity, wherein the method comprises the following steps: collecting the power consumption of target electric equipment in a target area in unit time; acquiring rated power consumption of the target electric equipment in unit time and/or average value of power consumption of each electric equipment in the target area, wherein the average value of the power consumption of each electric equipment is the same as that of the target electric equipment in unit time; comparing the unit time electricity consumption of the target electric equipment with the unit time rated electricity consumption and/or the unit time electricity consumption average value; and if the electricity consumption of the target electricity utilization equipment in unit time is determined to be abnormal electricity utilization data, judging that the electricity utilization of the target electricity utilization equipment is abnormal. The scheme provided by the invention can avoid the waste of a large amount of electric quantity for a long time caused by the fact that users continue to use the abnormal electric equipment.
Description
Technical Field
The invention relates to the technical field of power utilization equipment, in particular to a power utilization abnormity judgment method and device, a storage medium and a server.
Background
With the increase of household electric equipment, the normal operation of the electric equipment is more and more emphasized, and whether the electric equipment normally operates depends on whether the electric energy can be converted into effective power, namely, the efficiency can be endured. Generally, when the equipment is abnormal but still can be used, a user does not maintain the equipment, and only when the equipment cannot be normally used, the user can seek for maintenance. When the equipment is used in an abnormal but usable state, a large amount of electricity is consumed, energy waste is caused, and the equipment is not economical and environment-friendly.
Disclosure of Invention
The present invention is mainly intended to overcome the defects in the prior art, and provide a method, an apparatus, a storage medium, and a server for determining power consumption abnormality, so as to solve the problem of power consumption waste caused by the user continuously using an abnormal device in the prior art.
The invention provides a power utilization abnormity judgment method on one hand, which comprises the following steps: collecting the power consumption of target electric equipment in a target area in unit time; acquiring rated power consumption of the target electric equipment in unit time and/or average value of power consumption of each electric equipment in the target area, wherein the average value of the power consumption of each electric equipment is the same as that of the target electric equipment in unit time; comparing the unit time electricity consumption of the target electricity utilization equipment with the unit time rated electricity consumption and/or the unit time electricity consumption average value, and determining whether the unit time electricity consumption of the target electricity utilization equipment is abnormal electricity utilization data or not; and if the electricity consumption of the target electricity utilization equipment in unit time is determined to be abnormal electricity utilization data, judging that the electricity utilization of the target electricity utilization equipment is abnormal.
Optionally, the obtaining of the rated power consumption of the target electrical equipment per unit time includes: and acquiring the rated power of the target electric equipment so as to determine the rated power consumption of the target electric equipment in unit time according to the rated power.
Optionally, the method further comprises: and if the unit-time electricity consumption of the target electricity utilization equipment is determined to be abnormal electricity utilization data, comparing the unit-time electricity consumption with a pre-established normal electricity consumption model feature library corresponding to the target electricity utilization equipment so as to further confirm whether the unit-time electricity consumption is the abnormal electricity utilization data.
Optionally, the normal power consumption model feature library is established according to normal power consumption data corresponding to the target power consumption device based on an anomaly detection algorithm of a classification model; the normal power consumption data corresponding to the target power consumption equipment comprises: and the normal electricity consumption of each electric device in the target area, which is the same as the target electric device, in the unit time.
Optionally, the method further comprises: and if the unit-time power consumption of the target electric equipment is determined to be normal power consumption data, storing the unit-time power consumption for establishing a normal power consumption model feature library corresponding to the target electric equipment.
Optionally, the method further comprises: if the power utilization abnormality of the target electric equipment is judged, sending a power utilization abnormality prompt to a user of the target electric equipment; and/or if the power utilization abnormality of the target electric equipment is judged, matching the power consumption of the target electric equipment in unit time in a pre-established corresponding relation database of equipment faults and abnormal power utilization data to determine a first equipment fault causing the power utilization abnormality of the target electric equipment; and/or calling the use condition data of the target electric equipment to eliminate the abnormal electricity utilization of the target electric equipment caused by the fault reason of the non-electric equipment according to the use condition data; wherein the usage data comprises: and switching times in unit time, voltage and current parameter values in equipment operation, environment parameters of the target area and/or whether the electricity consumption acquisition time in unit time is in the electricity utilization peak period or not.
Optionally, the method further comprises: determining a corresponding electricity utilization exception handling suggestion according to the determined first equipment fault; and/or feeding back the determined electricity utilization abnormity processing suggestion to a user of the target electricity utilization equipment.
Optionally, sending a power utilization abnormality prompt to the user of the target electrical device and/or feeding back the determined power utilization abnormality processing suggestion to the user of the target electrical device includes: and sending a power utilization abnormity prompt to the user of the target power utilization equipment in a voice mode and/or feeding back the power utilization abnormity processing suggestion to the user of the target power utilization equipment.
Another aspect of the present invention provides an electricity consumption abnormality determination apparatus, including: the acquisition unit is used for acquiring the power consumption of target electric equipment in a target area in unit time; the obtaining unit is used for obtaining the rated power consumption of the target electric equipment in unit time and/or the average value of the power consumption of each electric equipment in the target area, wherein the power consumption of each electric equipment is the same as that of the target electric equipment in unit time; the determining unit is used for comparing the unit-time electricity consumption of the target electricity utilization equipment with the unit-time rated electricity consumption and/or the unit-time electricity consumption average value, and determining whether the unit-time electricity consumption of the target electricity utilization equipment is abnormal electricity utilization data or not; and the judging unit is used for judging that the target electric equipment is abnormal in electricity utilization if the determining unit determines that the electricity consumption of the target electric equipment in unit time is abnormal electricity utilization data.
Optionally, the obtaining unit obtains a rated power consumption of the target electrical device per unit time, and includes: and acquiring the rated power of the target electric equipment so as to determine the rated power consumption of the target electric equipment in unit time according to the rated power.
Optionally, the method further comprises: and the confirming unit is used for comparing the electricity consumption in the unit time with a pre-established normal electricity consumption model feature library corresponding to the target electric equipment if the electricity consumption in the unit time of the target electric equipment is determined to be abnormal electricity consumption data so as to further confirm whether the electricity consumption in the unit time is the abnormal electricity consumption data.
Optionally, the normal power consumption model feature library is established according to normal power consumption data corresponding to the target power consumption device based on an anomaly detection algorithm of a classification model; the normal power consumption data corresponding to the target power consumption equipment comprises: and the normal electricity consumption of each electric device in the target area, which is the same as the target electric device, in the unit time.
Optionally, the method further comprises: and the storage unit is used for storing the electricity consumption in unit time so as to establish a normal electricity consumption model feature library corresponding to the target electric equipment if the determining unit determines that the electricity consumption in unit time of the target electric equipment is normal electricity consumption data.
Optionally, the method further comprises: the reminding unit is used for sending power utilization abnormity reminding to a user of the target electric equipment if the power utilization abnormity of the target electric equipment is judged; and/or the fault determining unit is used for matching the unit-time power consumption of the target electric equipment in a pre-established corresponding relation database of equipment faults and abnormal power consumption data to determine a first equipment fault causing the target electric equipment power consumption abnormity if the target electric equipment power consumption abnormity is judged; and/or the eliminating unit is used for calling the use condition data of the target electric equipment so as to eliminate the electricity utilization abnormity of the target electric equipment caused by the fault reason of the non-electric equipment according to the use condition data; wherein the usage data comprises: and switching times in unit time, voltage and current parameter values in equipment operation, environment parameters of the target area and/or whether the electricity consumption acquisition time in unit time is in the electricity utilization peak period or not.
Optionally, the method further comprises: the suggestion determining unit is used for determining a corresponding electricity utilization exception handling suggestion according to the determined first equipment fault; and/or, a suggestion feedback unit for feeding back the determined electricity utilization exception handling suggestion to a user of the target electricity utilization equipment.
Optionally, when the reminding unit is included, the reminding unit sends an electricity abnormality reminder to the user of the target electrical device, including: sending an electricity utilization abnormity prompt to a user of the target electricity utilization equipment in a voice mode; and/or when the recommendation feedback unit is included, the recommendation feedback unit feeds back the determined power utilization abnormity processing recommendation to the user of the target power utilization equipment, and the recommendation feedback unit comprises the following steps: and feeding back the electricity utilization abnormity processing suggestion to a user of the target electricity utilization equipment in a voice mode.
A further aspect of the invention provides a storage medium having stored thereon a computer program which, when executed by a processor, carries out the steps of any of the methods described above.
Yet another aspect of the present invention provides a server comprising a processor, a memory, and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of any of the methods described above when executing the program.
In another aspect, the present invention provides a server, including any one of the foregoing power consumption abnormality determination apparatuses.
According to the technical scheme, the method comprises the steps of collecting the unit-time power consumption of target electric equipment in a target area, and determining whether the unit-time power consumption of the target electric equipment is abnormal power consumption data or not according to the unit-time rated power consumption of the target electric equipment and/or the unit-time power consumption average value of each electric equipment in the target area, wherein the unit-time power consumption of each electric equipment is the same as that of the target electric equipment; and if the abnormal electricity utilization data is determined, the abnormal electricity utilization of the target electricity utilization equipment is judged, so that the phenomenon that a user continues to use the abnormal electricity utilization equipment to cause the waste of a large amount of long-time electricity can be avoided, and the phenomenon that the service life of the equipment is shortened and the equipment cannot normally run due to the long-term use of the equipment is prevented.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram of a method for determining power consumption abnormality according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a method for determining power consumption abnormality according to another embodiment of the present invention;
FIG. 3 is a schematic diagram of a method for determining power consumption abnormality according to another embodiment of the present invention;
FIG. 4 is a schematic diagram illustrating a method for determining power consumption abnormality according to still another embodiment of the present invention;
FIG. 5 is a schematic diagram illustrating a method for determining power consumption abnormality according to still another embodiment of the present invention;
fig. 6 is a schematic structural diagram of an embodiment of an electricity abnormality determination apparatus provided in the present invention;
fig. 7 is a schematic structural diagram of another embodiment of the power consumption abnormality determining apparatus according to the present invention;
fig. 8 is a schematic structural diagram of a power consumption abnormality determining apparatus according to still another embodiment of the present invention;
fig. 9 is a schematic structural diagram of a power consumption abnormality determining apparatus according to still another embodiment of the present invention;
fig. 10 is a schematic structural diagram of a power consumption abnormality determining apparatus according to still another embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the specific embodiments of the present invention and the accompanying drawings. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. 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 invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention 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 invention 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.
Fig. 1 is a schematic method diagram of an embodiment of a power consumption abnormality determining method according to the present invention. The power utilization abnormity judging method is used for judging whether the target power utilization equipment has power utilization abnormity. The method may be implemented in a server.
As shown in fig. 1, according to an embodiment of the present invention, the power consumption abnormality determining method at least includes step S110, step S120, step S130 and step S140.
And step S110, collecting the unit time electricity consumption of the target electric equipment in the target area.
Specifically, the power consumption per unit time of the target electric equipment of each household in the target area may be collected respectively.
And step S120, obtaining the rated power consumption of the target electric equipment in unit time and/or the average value of the power consumption of each electric equipment in the target area, which is the same as the target electric equipment in unit time.
Specifically, the rated power of the target electric equipment is obtained, so that the rated power consumption of the target electric equipment in unit time is determined according to the rated power. The rated power may be specifically a rated power factory-set for the target electric device. The unit-time power consumption of each electric device in the target area, which is the same as the target electric device, is obtained, and the unit-time power consumption of each electric device in the target area is summed and then averaged to be used as the unit-time power consumption average value of each electric device in the target area, which is the same as the target electric device. The electric devices identical to the target electric device include devices of the same type and/or the same model as the target electric device, for example, devices of the same type (for example, all air conditioners) and the same model as the target electric device.
Step S130, comparing the unit time electricity consumption of the target electricity utilization equipment with the unit time rated electricity consumption and/or the unit time electricity consumption average value, and determining whether the unit time electricity consumption of the target electricity utilization equipment is abnormal electricity utilization data.
Specifically, if the absolute value of the difference between the unit-time electricity consumption of the target electric equipment and the unit-time rated electricity consumption exceeds a preset value, determining the unit-time electricity consumption of the target electric equipment as abnormal electricity consumption data; and/or if the absolute value of the difference between the unit-time electricity consumption of the target electricity utilization equipment and the unit-time electricity consumption mean value exceeds a preset value, determining the unit-time electricity consumption of the target electricity utilization equipment as abnormal electricity utilization data.
Step S140, if the unit time electricity consumption of the target electricity utilization equipment is determined to be abnormal electricity utilization data, judging that the electricity utilization of the target electricity utilization equipment is abnormal.
If the electricity consumption of the target electricity utilization equipment in unit time is determined to be abnormal electricity utilization data, the electricity utilization of the target electricity utilization equipment can be determined to be abnormal, and the target electricity utilization equipment may have a fault.
Fig. 2 is a schematic method diagram of another embodiment of the power consumption abnormality determining method according to the present invention. As shown in fig. 2, based on the above embodiment, the power consumption abnormality determining method further includes step S150.
And S150, if the power utilization abnormality of the target electric equipment is judged, sending a power utilization abnormality prompt to a user of the target electric equipment.
In one embodiment, a voice prompt of power utilization abnormality is sent to the user of the target power utilization equipment. For example, a voice prompt file, namely an audio file, of abnormal power utilization is generated, the audio file is sent to the target power utilization equipment, and the audio file is broadcasted through the target power utilization equipment.
Fig. 3 is a schematic method diagram of a power consumption abnormality determining method according to another embodiment of the present invention. As shown in fig. 3, according to the above embodiment, the power consumption abnormality determining method further includes step S160.
Step S160, comparing the power consumption of the target electrical equipment in unit time with a pre-established normal power consumption model feature library corresponding to the target electrical equipment, so as to further determine whether the power consumption in unit time is abnormal power consumption data.
The normal power consumption model feature library is established according to normal power consumption data corresponding to the target power consumption equipment based on an abnormality detection algorithm of a classification model; the normal power utilization data corresponding to the target power utilization equipment comprises the following steps: and the normal electricity consumption of each electric device in the target area, which is the same as the target electric device, in the unit time. Specifically, based on abnormal value detection of the classification model, a bayesian model is established according to existing normal electricity consumption data to obtain a normal model feature library as a reference standard library, the electricity consumption in unit time is compared with normal electricity consumption data in the normal electricity consumption model feature library corresponding to the target electricity consumption equipment, and whether the electricity consumption in unit time of the target electricity consumption equipment is abnormal data is further confirmed. Optionally, the electricity consumption of the target electrical equipment in unit time and/or the corresponding normal electricity consumption in the normal electricity consumption model feature library can be visualized in a mode of programming an operation graph and/or a graph, so that a backstage operation and maintenance worker can quickly and timely know the electricity consumption abnormality of the target electrical equipment and perform manual verification at the same time.
Optionally, the unit-time power consumption may be sent to a cloud server, and the cloud server compares the unit-time power consumption with a pre-established normal power consumption model feature library corresponding to the target electrical equipment, so as to further determine whether the unit-time power consumption is abnormal power consumption data. The specific implementation manner in which the cloud server compares the power consumption per unit time with the pre-established normal power consumption model feature library corresponding to the target electrical device may refer to the foregoing related description.
Optionally, the method based on the above embodiment may further include: and if the unit time electricity consumption of the target electricity utilization equipment is determined to be normal electricity utilization data, storing the unit time electricity consumption so as to establish a normal electricity consumption model feature library corresponding to the target electricity utilization equipment. For example, the target electrical equipment IP and the corresponding power consumption in unit time are correspondingly stored, so as to establish a normal power consumption model feature library corresponding to the target electrical equipment.
Fig. 4 is a schematic method diagram of a power consumption abnormality determining method according to still another embodiment of the present invention. As shown in fig. 4, according to the above embodiment, the power consumption abnormality determining method further includes step S170.
Step S170, if the power utilization abnormality of the target power utilization equipment is judged, matching the power consumption of the target power utilization equipment in unit time in a pre-established corresponding relation database of equipment faults and abnormal power utilization data to determine a first equipment fault causing the power utilization abnormality of the target power utilization equipment.
Specifically, if it is determined that the target electrical equipment is abnormal in power consumption, the cause of the target electrical equipment abnormal in power consumption may be further analyzed, the unit-time power consumption of the target electrical equipment is matched in a pre-established correspondence database of equipment faults and abnormal power consumption data, the unit-time power consumption of the target electrical equipment is compared with the abnormal power consumption data in the correspondence database of the equipment faults and the abnormal power consumption data, whether the unit-time power consumption is matched with the abnormal power consumption data is determined, and the equipment fault corresponding to the abnormal power consumption data matched with the unit-time power consumption is determined as the first equipment fault causing the target electrical equipment abnormal in power consumption. For example, it is determined whether a difference between the power consumption per unit time of the target power consumption device determined as abnormal power consumption data and the power consumptions per unit time of the plurality of abnormal power consumptions stored in the corresponding relationship library is within a preset range, and if the difference between the power consumption per unit time of the target power consumption device and any one of the power consumptions per unit time of the plurality of abnormal power consumptions stored in the corresponding relationship library is within the preset range, it may be determined that the power consumption per unit time of the target power consumption device matches the corresponding abnormal power consumption per unit time, and then the device fault corresponding to the corresponding abnormal power consumption per unit time may be determined as a first device fault causing the power consumption abnormality of the target power consumption device.
Optionally, if it is determined that the target electrical device is abnormal in power consumption, the electric potential time power consumption of the target electrical device may be further sent to a cloud server, and the cloud server matches the electric potential time power consumption of the target electrical device in a pre-established correspondence database between a device fault and abnormal power consumption data to determine a first device fault causing the abnormal in power consumption of the target electrical device.
Based on any of the above embodiments, the method may further include: if the target electric equipment power utilization abnormality is judged, the use condition data of the target electric equipment is called, so that the target electric equipment power utilization abnormality (not shown) caused by the fault reason of the non-electric equipment is eliminated according to the use condition data.
For example, the IP of the target electric equipment is called, and the use condition of the target electric equipment is checked, where the use condition data includes, for example, the number of switching times in a unit time, a voltage and current parameter value during equipment operation, an environmental parameter of the target area, and/or whether the electricity consumption collection time in the unit time is in an electricity consumption peak period, so as to distinguish the abnormal electricity consumption of the target electric equipment caused by the fault reasons of the non-electric equipment, such as a user manual operation factor, an equipment internal factor, an external environmental factor, and the like.
Fig. 5 is a schematic method diagram of a power consumption abnormality determining method according to still another embodiment of the present invention. As shown in fig. 5, according to any of the above embodiments, the power consumption abnormality determining method further includes step S180.
And step S180, determining a corresponding power utilization exception handling suggestion according to the determined first equipment fault.
In a specific embodiment, matching is performed on a pre-established corresponding relation database of the equipment faults and the processing suggestions according to the determined first equipment faults so as to determine corresponding power utilization exception processing suggestions. Specifically, the determined first equipment fault is compared with the equipment fault in the corresponding relation database of the equipment fault and the processing suggestion, whether the equipment fault and the equipment fault are matched is determined, and the processing suggestion matched with the first equipment fault in the corresponding relation database is determined as the electricity utilization abnormity processing suggestion corresponding to the first equipment fault. The electricity utilization exception handling advice specifically includes a repair and/or maintenance measure.
Optionally, the determined first device fault may be sent to a cloud server, and the cloud server matches, according to the determined first device fault, a pre-established device fault and a corresponding relationship database of processing suggestions to determine a corresponding power consumption exception handling suggestion, where please refer to the foregoing description for a specific embodiment.
As shown in fig. 5, the method may further include step S190.
And step S190, feeding back the determined processing suggestion to the user of the target electric equipment.
In one embodiment, the power utilization exception handling suggestion is audibly broadcast to a user of the target power utilization device. For example, the power consumption abnormality handling advice is converted into a voice file (i.e., an audio file) and sent to the target electric equipment, and the target electric equipment performs voice broadcasting, and the power consumption abnormality handling advice is fed back to the user of the target electric equipment.
Optionally, the method may further include determining a corresponding power utilization exception handling suggestion by matching the first determined device fault with a corresponding relationship database of handling suggestions according to the first determined device fault returned by the cloud server, and feeding back the determined power utilization exception handling suggestion to the user of the target electrical device.
Any of the embodiments of the present invention can be used to determine abnormal power consumption of each electrical device of each household in the target area, and can count the power consumption of the same electrical device of each household in the target area in unit time to establish a normal power consumption model feature library of the corresponding electrical device.
Fig. 6 is a schematic structural diagram of an embodiment of an electricity abnormality determination apparatus according to the present invention. The power utilization abnormity judging device is used for judging whether the target power utilization equipment has power utilization abnormity. The apparatus may be implemented in a server.
As shown in fig. 6, the power consumption abnormality determination apparatus 100 includes: an acquisition unit 110, an acquisition unit 120, a determination unit 130 and a determination unit 140.
The collecting unit 110 is configured to collect power consumption of a target electrical device in a target area in unit time; the obtaining unit 120 is configured to obtain a rated power consumption of the target electrical equipment in unit time and/or a mean value of power consumptions of electrical equipment in the target area in unit time, where the electrical equipment is the same as the target electrical equipment; the determining unit 130 is configured to compare the unit-time power consumption of the target electrical device with the unit-time rated power consumption and/or the unit-time power consumption average value, and determine whether the unit-time power consumption of the target electrical device is abnormal power consumption data; the determination unit 140 is configured to determine that the target electrical device is abnormal in power consumption if the determination unit determines that the unit-time power consumption of the target electrical device is abnormal power consumption data.
The obtaining unit 120 obtains a rated power consumption of the target electrical device per unit time, including: and acquiring the rated power of the target electric equipment so as to determine the rated power consumption of the target electric equipment in unit time according to the rated power. The rated power may be specifically a rated power factory-set for the target electric device. The obtaining unit 120 obtains the power consumption per unit time of each power consumption device in the target area, which is the same as the target power consumption device, sums the power consumption per unit time of each power consumption device, and then obtains an average value, which is used as the average value of the power consumption per unit time of each power consumption device in the target area, which is the same as the target power consumption device. The electric devices identical to the target electric device include devices of the same type and/or the same model as the target electric device, for example, devices of the same type (for example, all air conditioners) and the same model as the target electric device.
The determining unit 130 compares the unit-time power consumption of the target electrical equipment with the unit-time rated power consumption and/or the unit-time power consumption average value, and determines whether the unit-time power consumption of the target electrical equipment is abnormal power consumption data. Specifically, the determining unit 130 compares the unit-time electricity consumption of the target electrical equipment with the unit-time rated electricity consumption and/or the unit-time average electricity consumption to determine whether the unit-time electricity consumption is abnormal electricity consumption data. If the absolute value of the difference between the unit-time electricity consumption of the target electric equipment and the unit-time rated electricity consumption exceeds a preset value, determining the unit-time electricity consumption of the target electric equipment as abnormal electricity consumption data; and/or if the absolute value of the difference between the unit-time electricity consumption of the target electricity utilization equipment and the unit-time electricity consumption mean value exceeds a preset value, determining the unit-time electricity consumption of the target electricity utilization equipment as abnormal electricity utilization data.
If the determination unit 130 determines that the electricity consumption of the target electric device per unit time is abnormal electricity consumption data, the determination unit 140 determines that the target electric device is abnormal in electricity consumption. If the determination unit 130 determines that the electricity consumption amount per unit time of the target electrical device is abnormal electricity consumption data, the determination unit 140 may determine that the target electrical device is abnormal in electricity consumption, which may be caused by a fault of the target electrical device.
Fig. 7 is a schematic structural diagram of another embodiment of the power consumption abnormality determining apparatus according to the present invention. As shown in fig. 7, according to the above embodiment, the power consumption abnormality determination apparatus further includes a reminding unit 150.
The reminding unit 150 is configured to send a power consumption abnormality reminder to a user of the target electrical device if the determining unit 140 determines that the target electrical device is power consumption abnormal.
In a specific embodiment, the reminding unit 150 sends a voice reminding of the abnormal power utilization to the user of the target power utilization device. For example, a voice prompt file, namely an audio file, of abnormal power utilization is generated, the audio file is sent to the target power utilization equipment, and the audio file is broadcasted through the target power utilization equipment.
Fig. 8 is a schematic structural diagram of a power consumption abnormality determination device according to still another embodiment of the present invention. As shown in fig. 8, according to the above-described embodiment, the power consumption abnormality determination apparatus further includes a confirmation unit 160.
The determining unit 160 is configured to, if the determining unit 130 determines that the electricity consumption of the target electrical equipment in unit time is abnormal electricity consumption data, compare the electricity consumption of the target electrical equipment in unit time with a pre-established normal electricity consumption model feature library corresponding to the target electrical equipment, so as to further determine whether the electricity consumption in unit time is abnormal electricity consumption data.
The normal power consumption model feature library is established according to normal power consumption data corresponding to the target power consumption equipment based on an abnormality detection algorithm of a classification model; the normal power utilization data corresponding to the target power utilization equipment comprises the following steps: and the normal electricity consumption of each electric device in the target area, which is the same as the target electric device, in the unit time. Specifically, based on the abnormal value detection of the classification model, a bayesian model is established according to the existing normal power consumption data, a normal model feature library is obtained as a reference standard library, and the determination unit 160 compares the power consumption per unit time with the normal power consumption data in the normal power consumption model feature library corresponding to the target power consumption device, which is established in advance, and further determines whether the power consumption per unit time of the target power consumption device is abnormal data. Optionally, the electricity consumption of the target electrical equipment in unit time and/or the corresponding normal electricity consumption in the normal electricity consumption model feature library can be visualized in a mode of programming an operation graph and/or a graph, so that a backstage operation and maintenance worker can quickly and timely know the electricity consumption abnormality of the target electrical equipment and perform manual verification at the same time.
Alternatively, the determining unit 160 may send the power consumption per unit time to a cloud server, and the cloud server compares the power consumption per unit time with a normal power consumption model feature library corresponding to the target electrical equipment, which is established in advance, so as to further determine whether the power consumption per unit time is abnormal power consumption data. The specific implementation manner in which the cloud server compares the power consumption per unit time with the pre-established normal power consumption model feature library corresponding to the target electrical device may refer to the foregoing related description.
Optionally, the apparatus according to the foregoing embodiment may further include a saving unit (not shown), configured to save the unit-time power consumption if the determining unit 130 determines that the unit-time power consumption of the target electrical device is the normal power consumption data, so as to establish a normal power consumption model feature library corresponding to the target electrical device. For example, the target electrical equipment IP and the corresponding power consumption in unit time are correspondingly stored, so as to establish a normal power consumption model feature library corresponding to the target electrical equipment.
Fig. 9 is a schematic structural diagram of a power consumption abnormality determining apparatus according to still another embodiment of the present invention. As shown in fig. 9, according to the above-described embodiment, the electricity abnormality determination apparatus further includes a failure determination unit 170.
If the determination unit 130 determines that the target electrical equipment is abnormal in electricity consumption, the fault determination unit 170 is configured to match the electricity consumption of the target electrical equipment in unit time in a pre-established correspondence database between the equipment fault and the abnormal electricity consumption data, so as to determine a first equipment fault causing the abnormal in electricity consumption of the target electrical equipment.
Specifically, the fault determination unit 170 compares the power consumption of the target electrical equipment per unit time with the abnormal power consumption data in the correspondence database between the equipment fault and the abnormal power consumption data, determines whether the power consumption matches the abnormal power consumption data, and determines the equipment fault corresponding to the abnormal power consumption data matching the power consumption per unit time as the first equipment fault causing the power consumption abnormality of the target electrical equipment. For example, it is determined whether a difference between the power consumption per unit time of the target power consumption device determined as abnormal power consumption data and the power consumptions per unit time of the plurality of abnormal power consumptions stored in the corresponding relationship library is within a preset range, and if the difference between the power consumption per unit time of the target power consumption device and any one of the power consumptions per unit time of the plurality of abnormal power consumptions stored in the corresponding relationship library is within the preset range, it may be determined that the power consumption per unit time of the target power consumption device matches the corresponding abnormal power consumption per unit time, and then the device fault corresponding to the corresponding abnormal power consumption per unit time may be determined as a first device fault causing the power consumption abnormality of the target power consumption device.
Alternatively, if the determination unit 140 determines that the target electrical device is abnormal in power consumption, the fault determination unit 170 may further send the electric potential time power consumption of the target electrical device to a cloud server, and the cloud server matches the unit time power consumption of the target electrical device in a pre-established correspondence database between the device fault and abnormal power consumption data to determine a first device fault causing the target electrical device to be abnormal in power consumption.
Optionally, the apparatus may further include a removing unit (not shown) configured to retrieve the usage data of the target electrical device, so as to remove the electrical abnormality of the target electrical device caused by the failure of the non-electrical device according to the usage data.
For example, the IP of the target electric equipment is called, and the use condition of the target electric equipment is checked, where the use condition data includes, for example, the number of switching times in a unit time, a voltage and current parameter value during equipment operation, an environmental parameter of the target area, and/or whether the electricity consumption collection time in the unit time is in an electricity consumption peak period, so as to distinguish the abnormal electricity consumption of the target electric equipment caused by the fault reasons of the non-electric equipment, such as a user manual operation factor, an equipment internal factor, an external environmental factor, and the like.
Fig. 10 is a schematic structural diagram of a power consumption abnormality determining apparatus according to still another embodiment of the present invention. As shown in fig. 10, based on the above-described embodiment, the electricity abnormality determination apparatus further includes an advice determination unit 180.
The advice determination unit 180 is configured to determine a corresponding power consumption exception handling advice according to the determined first device fault.
In a specific embodiment, the advice determination unit 180 matches the pre-established device failure with the corresponding relationship database of the processing advice according to the determined first device failure to determine the corresponding power consumption exception handling advice. Specifically, the advice determination unit 180 compares the determined first device fault with the device fault in the correspondence relationship database of the device fault and the processing advice, determines whether the determined first device fault and the device fault match, and determines the processing advice matching the first device fault in the correspondence relationship database as the power consumption abnormality processing advice corresponding to the first device fault. The electricity utilization exception handling advice specifically includes a repair and/or maintenance measure.
Optionally, the suggestion determining unit 180 may further send the determined first device fault to a cloud server, and the cloud server matches the pre-established device fault with a corresponding relationship database of processing suggestions according to the determined first device fault to determine a corresponding power utilization exception handling suggestion, which please refer to the foregoing description in a specific embodiment.
As shown in fig. 10, the apparatus may further include an advice feedback unit 190.
The suggestion feedback unit 190 is configured to feed back the determined power consumption exception handling suggestion to the user of the target power consumption device.
In one embodiment, the suggestion feedback unit 190 reports the power consumption abnormality handling suggestion voice to the user of the target power consumption equipment. For example, the power consumption abnormality handling advice is converted into a voice file (i.e., an audio file) and sent to the target electric equipment, and the target electric equipment performs voice broadcasting, and the power consumption abnormality handling advice is fed back to the user of the target electric equipment.
Optionally, the suggestion feedback unit 190 may further receive a corresponding electricity consumption exception handling suggestion determined by matching the first determined equipment fault in a pre-established equipment fault and a corresponding relationship database of the handling suggestion, and feed back the determined electricity consumption exception handling suggestion to the user of the target electrical equipment.
The invention also provides a storage medium corresponding to the electricity utilization abnormity judging method, wherein a computer program is stored on the storage medium, and the computer program realizes the steps of any one of the methods when being executed by a processor.
The invention also provides a server corresponding to the power utilization abnormity judging method, which comprises a processor, a memory and a computer program which is stored on the memory and can run on the processor, wherein the processor realizes the steps of any one of the methods when executing the program.
The invention also provides a server corresponding to the electricity utilization abnormity judging device, which comprises any one of the electricity utilization abnormity judging devices.
According to the scheme provided by the invention, the unit-time power consumption of the target electric equipment in the target area is collected, and whether the unit-time power consumption of the target electric equipment is abnormal power consumption data or not is determined according to the unit-time rated power consumption of the target electric equipment and/or the unit-time power consumption average value of each electric equipment in the target area, which is the same as the target electric equipment; and if the abnormal electricity utilization data is determined, the abnormal electricity utilization of the target electricity utilization equipment is judged, so that the phenomenon that a user continues to use the abnormal electricity utilization equipment to cause the waste of a large amount of long-time electricity can be avoided, and the phenomenon that the service life of the equipment is shortened and the equipment cannot normally run due to the long-term use of the equipment is prevented.
The functions described herein may be implemented in hardware, software executed by a processor, firmware, or any combination thereof. If implemented in software executed by a processor, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Other examples and implementations are within the scope and spirit of the invention and the following claims. For example, due to the nature of software, the functions described above may be implemented using software executed by a processor, hardware, firmware, hardwired, or a combination of any of these. In addition, each functional unit may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or 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 the parts serving as the control device may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: 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 description is only an example of the present invention, and is not intended to limit the present invention, and it is obvious to those skilled in the art that various modifications and variations can be made in the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.
Claims (19)
1. A power utilization abnormality judgment method is characterized by comprising the following steps:
collecting the power consumption of target electric equipment in a target area in unit time;
acquiring rated power consumption of the target electric equipment in unit time and/or average value of power consumption of each electric equipment in the target area, wherein the average value of the power consumption of each electric equipment is the same as that of the target electric equipment in unit time;
comparing the unit time electricity consumption of the target electricity utilization equipment with the unit time rated electricity consumption and/or the unit time electricity consumption average value, and determining whether the unit time electricity consumption of the target electricity utilization equipment is abnormal electricity utilization data or not;
and if the electricity consumption of the target electricity utilization equipment in unit time is determined to be abnormal electricity utilization data, judging that the electricity utilization of the target electricity utilization equipment is abnormal.
2. The method of claim 1, wherein obtaining the rated power usage of the target power consumer per unit time comprises:
and acquiring the rated power of the target electric equipment so as to determine the rated power consumption of the target electric equipment in unit time according to the rated power.
3. The method of claim 1 or 2, further comprising:
and if the unit-time power consumption of the target electric equipment is determined to be abnormal power consumption data, comparing the unit-time power consumption of the target electric equipment with a pre-established normal power consumption model feature library corresponding to the target electric equipment so as to further confirm whether the unit-time power consumption is the abnormal power consumption data.
4. The method of claim 3,
the normal power consumption model feature library is established according to normal power consumption data corresponding to the target power consumption equipment based on an abnormality detection algorithm of a classification model;
the normal power consumption data corresponding to the target power consumption equipment comprises: and the normal electricity consumption of each electric device in the target area, which is the same as the target electric device, in the unit time.
5. The method of claim 3 or 4, further comprising:
and if the unit-time power consumption of the target electric equipment is determined to be normal power consumption data, storing the unit-time power consumption for establishing a normal power consumption model feature library corresponding to the target electric equipment.
6. The method of any one of claims 1-5, further comprising:
if the power utilization abnormality of the target electric equipment is judged, sending a power utilization abnormality prompt to a user of the target electric equipment;
and/or the presence of a gas in the gas,
if the power utilization abnormality of the target electric equipment is judged, matching the power consumption of the target electric equipment in unit time in a pre-established corresponding relation database of equipment faults and abnormal power utilization data to determine a first equipment fault causing the power utilization abnormality of the target electric equipment;
and/or the presence of a gas in the gas,
calling the service condition data of the target electric equipment to eliminate the abnormal electricity utilization of the target electric equipment caused by the fault reason of the non-electric equipment according to the service condition data;
wherein the usage data comprises: and switching times in unit time, voltage and current parameter values in equipment operation, environment parameters of the target area and/or whether the electricity consumption acquisition time in unit time is in the electricity utilization peak period or not.
7. The method of claim 6, further comprising:
determining a corresponding electricity utilization exception handling suggestion according to the determined first equipment fault;
and/or the presence of a gas in the gas,
and feeding back the determined electricity utilization abnormity processing suggestion to a user of the target electricity utilization equipment.
8. The method according to claim 6 or 7,
sending a power utilization abnormality prompt to a user of the target power utilization equipment, comprising:
sending a voice prompt of abnormal electricity utilization to a user of the target electricity utilization equipment;
and/or the presence of a gas in the gas,
feeding back the determined power utilization exception handling suggestion to a user of the target power utilization equipment, wherein the method comprises the following steps:
and broadcasting the electricity utilization abnormity processing suggestion voice to a user of the target electricity utilization equipment.
9. An electricity abnormality determination device, characterized by comprising:
the acquisition unit is used for acquiring the power consumption of target electric equipment in a target area in unit time;
the obtaining unit is used for obtaining the rated power consumption of the target electric equipment in unit time and/or the average value of the power consumption of each electric equipment in the target area, wherein the power consumption of each electric equipment is the same as that of the target electric equipment in unit time;
the determining unit is used for comparing the unit-time electricity consumption of the target electricity utilization equipment with the unit-time rated electricity consumption and/or the unit-time electricity consumption average value, and determining whether the unit-time electricity consumption of the target electricity utilization equipment is abnormal electricity utilization data or not;
and the judging unit is used for judging that the target electric equipment is abnormal in electricity utilization if the determining unit determines that the electricity consumption of the target electric equipment in unit time is abnormal electricity utilization data.
10. The apparatus according to claim 9, wherein the obtaining unit obtains a rated power consumption per unit time of the target electric device, and includes:
and acquiring the rated power of the target electric equipment so as to determine the rated power consumption of the target electric equipment in unit time according to the rated power.
11. The apparatus of claim 9 or 10, further comprising:
and the confirming unit is used for comparing the electricity consumption in the unit time with a pre-established normal electricity consumption model feature library corresponding to the target electric equipment if the electricity consumption in the unit time of the target electric equipment is determined to be abnormal electricity consumption data so as to further confirm whether the electricity consumption in the unit time is the abnormal electricity consumption data.
12. The apparatus of claim 11,
the normal power consumption model feature library is established according to normal power consumption data corresponding to the target power consumption equipment based on an abnormality detection algorithm of a classification model;
the normal power consumption data corresponding to the target power consumption equipment comprises: and the normal electricity consumption of each electric device in the target area, which is the same as the target electric device, in the unit time.
13. The apparatus of claim 11 or 12, further comprising:
and the storage unit is used for storing the electricity consumption in unit time so as to establish a normal electricity consumption model feature library corresponding to the target electric equipment if the determining unit determines that the electricity consumption in unit time of the target electric equipment is normal electricity consumption data.
14. The apparatus of any one of claims 9-13, further comprising:
the reminding unit is used for sending power utilization abnormity reminding to a user of the target electric equipment if the power utilization abnormity of the target electric equipment is judged;
and/or the presence of a gas in the gas,
the fault determination unit is used for matching the electricity consumption of the target electric equipment in unit time in a pre-established corresponding relation database of equipment faults and abnormal electricity consumption data to determine a first equipment fault causing the electricity consumption abnormality of the target electric equipment if the electricity consumption abnormality of the target electric equipment is determined;
and/or the presence of a gas in the gas,
the eliminating unit is used for calling the service condition data of the target electric equipment so as to eliminate the abnormal electricity utilization of the target electric equipment caused by the fault reason of the non-electric equipment according to the service condition data;
wherein the usage data comprises: and switching times in unit time, voltage and current parameter values in equipment operation, environment parameters of the target area and/or whether the electricity consumption acquisition time in unit time is in the electricity utilization peak period or not.
15. The apparatus of claim 14, further comprising:
the suggestion determining unit is used for determining a corresponding electricity utilization exception handling suggestion according to the determined first equipment fault;
and/or the presence of a gas in the gas,
and the suggestion feedback unit is used for feeding back the determined power utilization abnormity processing suggestion to the user of the target power utilization equipment.
16. The apparatus of claim 14 or 15,
when including when reminding the unit, remind the unit, to the user of target consumer sends the power consumption unusual warning, include: sending an electricity utilization abnormity prompt to a user of the target electricity utilization equipment in a voice mode;
and/or the presence of a gas in the gas,
when the recommendation feedback unit is included, the recommendation feedback unit feeds back the determined power consumption abnormal handling recommendation to the user of the target power consumption equipment, and the recommendation feedback unit comprises:
and feeding back the electricity utilization abnormity processing suggestion to a user of the target electricity utilization equipment in a voice mode.
17. A storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 8.
18. A server comprising a processor, a memory, and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method of any one of claims 1 to 8 when executing the program.
19. A server, characterized by comprising the electricity abnormality determination apparatus according to any one of claims 9 to 16.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112597263A (en) * | 2021-03-03 | 2021-04-02 | 浙江和达科技股份有限公司 | Pipe network detection data abnormity judgment method and system |
| CN113407433A (en) * | 2021-07-16 | 2021-09-17 | 山东美能环保科技有限公司 | Electric equipment display processing method |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000193286A (en) * | 1998-12-24 | 2000-07-14 | Matsushita Electric Ind Co Ltd | Fault diagnosing device |
| EP2141898A1 (en) * | 2008-07-04 | 2010-01-06 | Postech Academy-Industry Foundation | Method and apparatus for detecting abnormal power consumption of a battery in mobile devices |
| CN104730366A (en) * | 2013-12-23 | 2015-06-24 | 美的集团股份有限公司 | Fault diagnosis and maintenance assisting device for household appliances |
| CN106249720A (en) * | 2016-08-30 | 2016-12-21 | 镇江惠通电子有限公司 | The power supply management Apparatus and method for of electrical equipment |
| CN106841881A (en) * | 2017-04-12 | 2017-06-13 | 牛栋 | The analysis method and device of electricity consumption module |
| CN107271764A (en) * | 2017-06-19 | 2017-10-20 | 宁波三星医疗电气股份有限公司 | A kind of electrical appliance power consumption method for detecting abnormality and device |
| CN107479472A (en) * | 2017-09-19 | 2017-12-15 | 周正高 | Household appliances electricity consumption intelligent management system |
| CN107478926A (en) * | 2017-07-14 | 2017-12-15 | 宁波三星医疗电气股份有限公司 | A kind of electricity consumption monitoring arrangement and method |
| CN207301710U (en) * | 2017-09-05 | 2018-05-01 | 山东比特智能科技股份有限公司 | A kind of equipment state remote monitoring system |
| CN108776276A (en) * | 2018-06-29 | 2018-11-09 | 合肥工业大学 | Multiplexing electric abnormality detection method and system |
-
2018
- 2018-12-07 CN CN201811495165.5A patent/CN111289813B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000193286A (en) * | 1998-12-24 | 2000-07-14 | Matsushita Electric Ind Co Ltd | Fault diagnosing device |
| EP2141898A1 (en) * | 2008-07-04 | 2010-01-06 | Postech Academy-Industry Foundation | Method and apparatus for detecting abnormal power consumption of a battery in mobile devices |
| CN104730366A (en) * | 2013-12-23 | 2015-06-24 | 美的集团股份有限公司 | Fault diagnosis and maintenance assisting device for household appliances |
| CN106249720A (en) * | 2016-08-30 | 2016-12-21 | 镇江惠通电子有限公司 | The power supply management Apparatus and method for of electrical equipment |
| CN106841881A (en) * | 2017-04-12 | 2017-06-13 | 牛栋 | The analysis method and device of electricity consumption module |
| CN107271764A (en) * | 2017-06-19 | 2017-10-20 | 宁波三星医疗电气股份有限公司 | A kind of electrical appliance power consumption method for detecting abnormality and device |
| CN107478926A (en) * | 2017-07-14 | 2017-12-15 | 宁波三星医疗电气股份有限公司 | A kind of electricity consumption monitoring arrangement and method |
| CN207301710U (en) * | 2017-09-05 | 2018-05-01 | 山东比特智能科技股份有限公司 | A kind of equipment state remote monitoring system |
| CN107479472A (en) * | 2017-09-19 | 2017-12-15 | 周正高 | Household appliances electricity consumption intelligent management system |
| CN108776276A (en) * | 2018-06-29 | 2018-11-09 | 合肥工业大学 | Multiplexing electric abnormality detection method and system |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112597263A (en) * | 2021-03-03 | 2021-04-02 | 浙江和达科技股份有限公司 | Pipe network detection data abnormity judgment method and system |
| CN113407433A (en) * | 2021-07-16 | 2021-09-17 | 山东美能环保科技有限公司 | Electric equipment display processing method |
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|---|---|
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