CN117471928B

CN117471928B - Intelligent household electricity monitoring method and system

Info

Publication number: CN117471928B
Application number: CN202311798613.XA
Authority: CN
Inventors: 何家平; 王荣福
Original assignee: Shenzhen Gemvary Technologies Co ltd
Current assignee: Shenzhen Gemvary Technologies Co ltd
Priority date: 2023-12-26
Filing date: 2023-12-26
Publication date: 2024-04-02
Anticipated expiration: 2043-12-26
Also published as: CN117471928A

Abstract

The invention discloses an intelligent household electricity monitoring method and system, wherein the method comprises the following steps: analyzing according to the total actual power curve of the electricity consumption area and the total analog power curve of the electric equipment of the electricity consumption area to obtain first curve similar data; when the first curve similar data is larger than a first preset threshold value, judging that abnormal equipment exists in the current electric equipment; subtracting the total actual power curve from the total analog power curve to obtain a first difference power curve; analyzing the simulated power curve of each electric equipment based on the first difference power curve, and determining second curve similar data of the simulated power curve of each electric equipment; and carrying out abnormal verification on each electric equipment based on the second curve similar data, and determining abnormal equipment. Under the condition of abnormal power utilization of the equipment, determining the abnormal equipment and the actual power curve of the abnormal equipment through the total actual power curve and the total simulated power curve, analyzing the reason of the abnormality and timely adjusting the parameters of the equipment.

Description

Intelligent household electricity monitoring method and system

Technical Field

The application relates to the technical field of electricity consumption monitoring, in particular to an intelligent household electricity consumption monitoring method and system.

Background

With the progress of technology and the development of society, people pay more and more attention to quality of life and environmental protection. The smart home is taken as an innovative home concept combining the information technology, the sensor technology and the internet of things technology, and gradually becomes an important component in life of people. The electricity consumption monitoring is used as one of the core functions of the intelligent home, so that a user can know the service condition and the power consumption of the household appliances in real time, and further, the user can make a more intelligent use decision, the energy is saved, and the environmental pollution is reduced.

However, the existing intelligent household electricity monitoring system mainly analyzes the electricity consumption data of each electric equipment to determine whether the electric equipment has abnormal electricity consumption, and the cost is too high. Meanwhile, the abnormal equipment cannot be positioned under the condition that a plurality of electric equipment are used simultaneously only through non-invasive equipment, and the actual electricity utilization data of the abnormal equipment cannot be determined.

Therefore, the prior art has defects, and improvement is needed.

Disclosure of Invention

In view of the above problems, the invention aims to provide an intelligent household electricity monitoring method and system, which can more effectively and rapidly locate abnormal equipment, adjust parameters according to actual power data and prolong the service life of electric equipment.

The first aspect of the invention provides an intelligent household electricity monitoring method, which comprises the following steps:

analyzing according to the total actual power curve of the electricity consumption area and the total analog power curve of the electric equipment of the electricity consumption area to obtain first curve similar data;

when the first curve similar data is larger than a first preset threshold value, determining that abnormal equipment exists in the current electric equipment;

subtracting the total actual power curve from the total simulated power curve to obtain a first difference power curve;

analyzing the simulated power curve of each electric equipment based on the first difference power curve, and determining second curve similar data of the simulated power curve of each electric equipment;

and carrying out abnormal verification on each electric equipment based on the second curve similar data, and determining abnormal equipment.

In this scheme, still include:

the total actual power curve is obtained through an energy consumption monitoring module;

analyzing according to environmental data and user preference in combination with historical use data of electric equipment, and carrying out simulation operation in combination with the working environment of each electric equipment to obtain a first simulation power curve of each electric equipment;

and accumulating the simulated power curves of all the electric equipment to obtain the total simulated power curve of the electric equipment in the electricity utilization area.

In this scheme, based on the first difference power curve analyzes the analog power curve of each electric equipment, determines second curve similar data of the analog power curve of each electric equipment, including:

adding the first difference power curve with the analog power curve of each electric equipment to obtain a second analog power curve;

and respectively carrying out similarity calculation on the second analog power curve and the first analog power curve of each electric equipment to obtain second curve similarity data of the analog power curve of each electric equipment.

In this scheme, carry out the unusual verification to every consumer based on the similar data of second curve, confirm unusual equipment, include:

selecting the electric equipment with the highest second curve similar data as undetermined abnormal equipment;

selecting a verification method according to the equipment grade of the undetermined abnormal equipment;

if the undetermined abnormal equipment is the first-level equipment, controlling other electric equipment to be powered off in sequence for auxiliary verification;

if the undetermined abnormal equipment is the second level equipment, directly performing power-off verification;

if the power-off verification device is abnormal, determining an actual power curve of the abnormal device according to a total actual power curve of the powered device after power off, a total simulated power curve of the residual powered device and a first simulated power curve of the abnormal device;

Adjusting the abnormal equipment according to the actual power curve of the abnormal equipment;

if the power-off verification device is normal, selecting the next electric equipment to perform abnormal verification according to the second curve similar data.

In this scheme, if the equipment that remains to be determined is first level equipment, then control other consumer and outage in proper order carries out auxiliary verification, includes:

selecting one or more other electric equipment with second curve similar data larger than a second preset threshold value, and sorting in descending order according to the second curve similar data;

selecting other electric equipment with the highest second curve similar data to perform power-off treatment;

after the other electric equipment is powered off, judging whether the total actual power curve is consistent with the total simulated power curve of the residual electric equipment;

if the power consumption conditions are consistent, the other electric equipment is normal equipment;

if the power consumption equipment is inconsistent, the other power consumption equipment is abnormal equipment;

and after all other electric equipment is verified and equipment parameters are adjusted, if the total actual power curve is inconsistent with the total simulated power curve, the undetermined abnormal equipment is abnormal equipment.

In this scheme, if the pending abnormal device is a second level device, directly performing power-off verification, including:

When the undetermined abnormal equipment is powered off, judging whether the total actual power curve is consistent with the total simulated power curve of the residual electric equipment;

if the determined abnormal equipment is consistent, the determined abnormal equipment is abnormal equipment;

if the power failure verification is inconsistent, the undetermined abnormal equipment is normal equipment, and the next electric equipment is selected as the undetermined abnormal equipment according to the similar data size of the second curve to carry out power failure verification until the abnormal equipment is determined.

In this scheme, the determining the actual power curve of the abnormal device according to the total actual power curve of the powered device after power failure, the total simulated power curve of the remaining powered device, and the first simulated power curve of the abnormal device includes:

subtracting the total actual power curve of the powered device after power failure from the total simulated power curve of the remaining powered device to obtain a second difference power curve;

judging whether the second difference power curve is consistent with the first difference power curve or not;

if the power curves are consistent, adding the second difference power curve and the first simulated power curve of the abnormal equipment to obtain an actual power curve of the abnormal equipment;

if the first difference power curve and the second difference power curve are inconsistent, subtracting the first difference power curve and the second difference power curve to obtain a third difference power curve;

And adding the third difference power curve and the first analog power curve of the abnormal equipment to obtain an actual power curve of the abnormal equipment.

In this scheme, still include:

and if the second difference power curve is inconsistent with the first difference power curve, carrying out outage verification on the next electric equipment according to the second difference power curve.

In this scheme, still include:

analyzing according to the actual power curve of the abnormal equipment and the equipment operation parameters, and determining the reason of the abnormality;

if the abnormality cause is a first abnormality cause, controlling the abnormal equipment to stop and dissipate heat;

when the temperature of the abnormal equipment is normal, automatically starting the abnormal equipment to work and canceling an abnormal mark;

if the abnormality cause is a second abnormality cause;

judging whether the total analog power of all electric equipment is larger than the maximum output power of the distribution box or not;

if yes, carrying out power distribution according to a first simulated power curve of each electric equipment;

if not, calculating a power difference value between the total analog power and the maximum output power, and generating a device start-stop suggestion or a parameter adjustment suggestion by combining the electricity score of each electric equipment;

And adjusting the equipment parameters of the corresponding electric equipment according to the user feedback.

The second aspect of the invention provides an intelligent household electricity monitoring system, comprising:

the curve similarity calculation module is used for analyzing according to the total actual power curve of the electricity utilization area and the total simulated power curve of the electric equipment of the electricity utilization area to obtain first curve similarity data;

the abnormality detection module is used for judging that abnormal equipment exists in the current electric equipment when the first curve similar data is larger than a first preset threshold value;

the abnormality verification module is used for subtracting the total actual power curve and the total simulated power curve to obtain a first difference power curve; analyzing the simulated power curve of each electric equipment based on the first difference power curve, and determining second curve similar data of the simulated power curve of each electric equipment; and carrying out abnormal verification on each electric equipment based on the second curve similar data, and determining abnormal equipment.

In this scheme, still include:

if not, the other electric equipment is abnormal equipment,

In this scheme, still include:

If the abnormality cause is a second abnormality cause;

A third aspect of the present invention provides a computer readable storage medium, where the computer readable storage medium includes a smart home electricity monitoring method program, where the smart home electricity monitoring method program, when executed by a processor, implements the steps of a smart home electricity monitoring method according to any one of the above.

Drawings

FIG. 1 shows a flow chart of a smart home electricity monitoring method of the present invention;

FIG. 2 is a flow chart illustrating a method of auxiliary verification of a pending anomaly device of the present invention;

FIG. 3 illustrates a flow chart of a method of power-down verification of a pending anomaly device of the present invention;

fig. 4 shows a block diagram of an intelligent household electricity monitoring system of the present invention.

Detailed Description

In order that the above-recited objects, features and advantages of the present invention will be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments may be combined with each other.

In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those described herein, and therefore the scope of the present invention is not limited to the specific embodiments disclosed below.

Fig. 1 shows a flowchart of a smart home electricity monitoring method of the present invention.

As shown in fig. 1, the invention discloses a method for monitoring electricity consumption of an intelligent home, which comprises the following steps:

s102, analyzing according to a total actual power curve of the electricity consumption area and a total simulated power curve of the electric equipment of the electricity consumption area to obtain first curve similar data;

S104, when the first curve similar data is larger than a first preset threshold value, judging that abnormal equipment exists in the current electric equipment;

s106, subtracting the total actual power curve and the total simulated power curve to obtain a first difference power curve;

s108, analyzing the simulated power curve of each electric equipment based on the first difference power curve, and determining second curve similar data of the simulated power curve of each electric equipment;

s110, carrying out exception verification on each electric equipment based on the second curve similar data, and determining exception equipment.

According to the embodiment of the invention, the total simulated power curve of the electric equipment in the electricity utilization area is obtained by prediction according to the historical use data of the electric equipment, the user preference and other parameters, so that a certain difference exists between the total simulated power curve and the actual power curve. Therefore, when the total actual power curve of the electricity utilization area and the total simulated power curve of the electric equipment of the electricity utilization area are compared, whether abnormal equipment exists in the current electricity utilization area is judged by calculating the curve similarity of the total actual power curve and the total simulated power curve of the electric equipment of the electricity utilization area.

In the case of abnormal electricity utilization of the electric equipment, the actual power curve of the electric equipment also has regular characteristics of the using parameters, for example, the actual power curve generated by the drum washing machine in the working state is related to the running state of the drum motor. Under the condition that the actual power curve obtained by the energy consumption monitoring module is abnormal, a first difference power curve formed according to the difference between the total actual power curve and the total analog power curve is added with each electric equipment, and a second analog power curve of each electric equipment is obtained. And then, calculating the curve similarity of the first simulated power curve and the second simulated power curve of each electric equipment by a system preset method, so as to determine the probability value of power abnormality of each electric equipment, namely second curve similarity data. And then sequentially carrying out abnormality verification on each electric equipment according to the sequence from the large to the small of the second curve similar data, comparing the difference value of the total actual power curve and the total analog power curve to determine abnormal equipment by sequentially powering off each electric equipment, and determining the actual power curve of the abnormal equipment. And under the condition that the total actual power curve is consistent with the total simulated power curve or the curve similarity is greater than a preset threshold value of the system, the simulated power curve of the electric equipment is the actual power curve.

Because the variable-frequency electric equipment has certain difference between the actual power curve and the simulated power curve in the actual working process, when the to-be-determined abnormal equipment is subjected to abnormal verification, on the basis of comparing whether the actual power curve and the simulated power curve are consistent, whether the to-be-determined abnormal equipment is the abnormal equipment or not is judged by calculating the similarity of the actual power curve and the simulated power curve, a corresponding threshold value is set through a system, and whether the similarity of the total actual power curve of the current area of the equipment and the total simulated power curve of the residual electric equipment is larger than the set threshold value is judged. If the power-off equipment is larger than the power-on equipment, the power-off equipment is abnormal equipment; otherwise, the device is a normal device.

According to an embodiment of the present invention, further comprising:

It should be noted that, the energy consumption monitoring module is configured to obtain real-time power of indoor power consumption, and may be set according to a power supply line, for example, set on a main power supply line of each room, so as to monitor power consumption conditions of smart home in each room, and reduce abnormal verification times when power consumption is abnormal.

The user preference can determine the use habit of the user on the current electric equipment, the historical use data of the current equipment is combined, and the working state of the current equipment is simulated by combining the working environment, so that the operation parameters of the current electric equipment in the working process and the power change curve in the working process, namely the first simulated power curve of the electric equipment, are determined. The working environment parameters of different electric equipment are different, for example, when the air conditioner is simulated, the indoor and outdoor initial temperatures and the indoor temperature changes are mainly simulated; when the washing machine is subjected to simulation work, the simulation is mainly performed based on the material and the type of clothes to be washed. Meanwhile, the first simulation power curve of the electric equipment is adjusted in real time according to the operation parameters of the electric equipment in the actual working process, and when the operation parameters of the electric equipment are changed, the first simulation power curve of the electric equipment is correspondingly adjusted.

According to an embodiment of the present invention, the analyzing the simulated power curve of each electric device based on the first difference power curve, determining second curve similarity data of the simulated power curve of each electric device, includes:

It should be noted that, similarity calculation is performed on the second analog power curve and the first analog power curve of the electric equipment through a similarity algorithm preset by the system, such as a cosine similarity algorithm, a pearson correlation coefficient algorithm, and the like, so as to determine curve similarity data between the second analog power curve and the first analog power curve of the electric equipment.

According to an embodiment of the present invention, the performing exception verification on each electric device based on the second curve similar data, and determining an exception device, includes:

It should be noted that, the larger the curve similarity data between the second analog power curve and the first analog power curve of the electric device is, the larger the probability that the first difference power curve is generated for the electric device is. Therefore, in the process of carrying out abnormal verification on the electric equipment, the electric equipment with the highest second curve similar data is preferentially selected for carrying out abnormal verification. In the process of abnormal verification, different modes are selected for verification according to the equipment grade of the to-be-determined abnormal equipment, wherein the first grade equipment is electric equipment which cannot be interrupted in the working process, such as a television, a computer and the like, and auxiliary judgment is needed by judging the use states of other electric equipment; the second level equipment is electric equipment which can be interrupted in overload work, such as a washing machine, an air conditioner, a water heater and the like, and the electric equipment which can not influence the use effect when being powered off for a short time in the use process can be directly powered off for abnormal verification. The power-off time can be set according to actual use requirements.

In the power-off verification process of the electric equipment, if the total actual power curve is inconsistent with the total simulated power curve of the rest electric equipment or the curve similarity is smaller than a system preset threshold, the electric equipment which is verified by current power-off is not abnormal, and the verification of other electric equipment is continued. After the abnormal equipment is determined, comparing a second difference power curve obtained by subtracting the total actual power curve of the abnormal equipment from the total simulated power curve of the residual electric equipment with the first difference power curve to determine whether the current monitoring area (indoor) has abnormal electricity consumption conditions except the current abnormal equipment, and if not, determining the actual power curve of the current abnormal equipment through the second difference power curve and the simulated power curve of the current abnormal equipment; if the current abnormal equipment exists, determining an actual power curve of the current abnormal equipment according to the difference value of the first difference power curve and the second difference power curve and combining the simulated power curve of the current abnormal equipment.

FIG. 2 is a flow chart illustrating a method of auxiliary verification of a pending anomaly device of the present invention.

As shown in fig. 2, according to an embodiment of the present invention, if the pending abnormal device is a first level device, controlling other electric devices to power down in sequence to perform auxiliary verification includes:

S202, selecting one or more other electric equipment with second curve similar data larger than a second preset threshold value, and sorting in descending order according to the second curve similar data;

s204, selecting other electric equipment with the highest second curve similar data to perform power-off treatment;

s206, judging whether the total actual power curve is consistent with the total simulated power curve of the rest electric equipment after the other electric equipment is powered off;

s208, if the power consumption equipment is consistent with the power consumption equipment, the other power consumption equipment is normal equipment;

s210, if the power consumption equipment is inconsistent, the other power consumption equipment is abnormal equipment,

and S212, after all other electric equipment is verified and equipment parameters are adjusted, if the total actual power curve and the total simulated power curve are inconsistent, the undetermined abnormal equipment is abnormal equipment.

It should be noted that, when abnormal verification is performed on the first level device which cannot be powered off in the working process, auxiliary verification is required to be performed through other electric equipment. Because the second curve similar data represents the probability value generated by the current electric equipment by the first difference power curve, when the second curve similar data is smaller than certain data, the first difference power curve can be determined to be irrelevant to the current electric equipment. And sequentially carrying out power-off abnormality verification on each other electric equipment according to the size of the second curve similar data by selecting one or more other electric equipment with the second curve similar data larger than a second preset threshold, and if the total actual power curve of each other electric equipment after power off is consistent with the total simulated power curve of the rest electric equipment or the curve similarity is larger than a system preset threshold, indicating that the first difference power curve is generated by abnormal electric power of the current abnormal equipment, and the current abnormal equipment is abnormal equipment.

The second preset threshold value can be set according to actual use requirements by a person skilled in the art, and other electric equipment can be selected according to the preset number of the system.

FIG. 3 shows a flow chart of a method of power-down verification of a pending anomaly device of the present invention.

As shown in fig. 3, according to an embodiment of the present invention, if the pending abnormal device is a second level device, power-off verification is directly performed, including:

s302, judging whether the total actual power curve is consistent with the total simulated power curve of the residual electric equipment after the undetermined abnormal equipment is powered off;

s304, if the predetermined abnormal equipment is the same, the predetermined abnormal equipment is the abnormal equipment;

and S306, if the equipment is inconsistent, the equipment to be determined is normal equipment, and the next electric equipment is selected as the equipment to be determined to be abnormal according to the similar data size of the second curve to perform power-off verification until the equipment to be determined to be abnormal is determined.

It should be noted that, after the abnormal device is powered off, the total actual power of the current power consumption area should be the same as or similar to the total analog power of the remaining power consumption equipment, that is, the total actual power curve is consistent with the total analog power curve of the remaining power consumption equipment or the curve similarity is greater than the system preset threshold, and according to the second curve similarity data size, the power consumption equipment in the current power consumption area is sequentially determined as the to-be-determined abnormal device to perform power off abnormality detection, and the abnormal device in the current power consumption area is determined through the total actual power curve after each power off and the total analog power curve of the remaining power consumption equipment.

According to an embodiment of the present invention, the determining the actual power curve of the abnormal device according to the total actual power curve of the powered device after power failure, the total simulated power curve of the remaining powered device, and the first simulated power curve of the abnormal device includes:

It should be noted that, by judging whether the second difference power curve is consistent with the first difference power curve or whether the curve similarity is greater than a preset threshold of the system, it may be judged whether other abnormal devices exist in addition to the current other electric devices, if the second difference power curve is consistent with the first difference power curve or the curve similarity is greater than the preset threshold of the system, the current abnormal device is the only abnormal device, and then the actual power curve of the current abnormal device is calculated through the second difference power curve; if the second difference power curve is inconsistent with the first difference power curve or the curve similarity is smaller than a preset threshold value of the system, the third difference power curve obtained by subtracting the first difference power curve from the second difference power curve continuously performs power-off verification on the electric equipment (undetermined abnormal equipment or other electric equipment) needing power-off verification, after each abnormal equipment is determined, the comparison is performed with the last difference power curve, whether other abnormal electric equipment exists is determined, and the power-off verification is stopped until the total actual power curve is consistent with the total analog power curve of the rest electric equipment, or the power-off verification is stopped after the power-off verification of all other electric equipment is completed.

According to an embodiment of the present invention, further comprising:

It should be noted that, under the condition that a plurality of electric devices are used simultaneously in the electricity utilization area, there may be a situation that two or more electric devices are abnormal at the same time, so that after an abnormal device is determined and power is off, the total actual power curve is inconsistent with the total simulated power curve of the remaining electric devices. In this case, the electric equipment which is not subjected to the power-off verification is continuously detected based on the second difference power curve until the total actual power curve is consistent with the total simulated power curve of the rest electric equipment or the curve similarity is larger than the preset threshold value of the system.

According to an embodiment of the present invention, further comprising:

If the abnormality cause is a second abnormality cause,

It should be noted that, the power consumption abnormality of the device in the working process mainly includes two reasons, wherein the first abnormality reason is that the device is overheated due to long-time working of the device, so that the actual power is higher than the analog power; the second cause of the abnormality is that the power consumption of the equipment is unevenly distributed, or the occupied power resources become larger along with the change of the working parameters of the equipment, so that the power resource allocation of other equipment is reduced. For the first abnormal reason, a temperature sensor can be arranged in equipment which is easy to generate accumulated heat, the real-time temperature of the equipment is detected through the temperature sensor, the equipment is started and stopped for management, when the internal temperature of the equipment meets the overheat condition of the equipment, the equipment is stopped for heat dissipation, and when the internal temperature of the equipment is reduced to the preset temperature of the system, the equipment continues to work. In addition, when the first abnormality cause occurs in the first level device, a reminding notification is sent to the user (by playing voice, sending reminding information to the binding intelligent terminal device, and the like), and whether shutdown heat dissipation is performed is selected according to user feedback. For the second abnormality cause, it is first determined whether the simulated power of the currently-started powered device under the current operating parameter is greater than the maximum output power of the power distribution box. If yes, the total power consumption of the current power consumption area is reduced by closing or adjusting parameters of the electric equipment with lower partial power consumption score, so that the maximum output power of the distribution box meets the use requirement of the electric equipment in the current power consumption area; and if not, adjusting the working parameters according to the first power curve of each electric equipment, and distributing power according to the rated power of each electric equipment. The electricity consumption score is obtained according to the sum of products of a plurality of equipment parameters such as the use frequency, the average working time length, the equipment functions and the like of the electric equipment and corresponding influence weights.

According to an embodiment of the present invention, further comprising:

when a new device is detected to be started, performing starting verification on the new device before power supply;

judging whether the sum of rated power data of the new equipment and total power data of all current electric equipment is larger than the maximum output power of a distribution box or not;

if not, the new equipment is powered on;

if yes, the new equipment does not meet the starting condition and reminds the user.

It should be noted that, in order to avoid the situation that the total power of the current power utilization area is greater than the maximum output power of the distribution box after the new equipment enters the working state and overload protection is generated and automatic power failure occurs, before the new equipment is powered on, the new equipment is simulated and started, a simulated power curve of the new equipment is determined, and whether the current power utilization area has the power utilization overload situation after the new equipment is started is judged by combining the simulated power curves of all the current started electric equipment. And accumulating the simulated power curve of the new equipment and the simulated power curves of all the current started electric equipment, wherein the obtained curve peak value is the sum of rated power data of the new equipment and total power data of all the current electric equipment. And when the sum of the total power data is larger than the maximum output power of the distribution box, starting the new equipment is forbidden, and reminding the user in a voice mode and the like. Meanwhile, a reference scheme can be generated according to the equipment scores of the new equipment and the started equipment so as to enable a user to refer to the equipment scores, and under the condition that the new equipment does not meet the starting condition, a power difference value is calculated according to the sum of rated power data of the new equipment and total power data of all current electric equipment and the maximum output power of the distribution box. And determining that the electric equipment B can be closed according to the obtained power difference and the equipment score of the started equipment (the equipment score of the electric equipment B is smaller than the equipment score of the new equipment), namely after the electric equipment B is closed, the new equipment which needs to be started meets the starting condition.

As shown in fig. 4, a second aspect of the present invention provides an intelligent household electricity monitoring system, including:

According to an embodiment of the present invention, further comprising:

According to an embodiment of the present invention, if the pending abnormal device is a first level device, controlling other electric devices to power down in sequence to perform auxiliary verification, including:

if not, the other electric equipment is abnormal equipment,

According to an embodiment of the present invention, if the pending abnormal device is a second level device, directly performing power-off verification, including:

According to an embodiment of the present invention, further comprising:

If the abnormality cause is a second abnormality cause,

According to an embodiment of the present invention, further comprising:

if not, the new equipment is powered on;

In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.

The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.

Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a computer readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, or the like, which can store program codes.

Alternatively, the above-described integrated units of the present invention may be stored in a computer-readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solutions of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.

Claims

1. The intelligent household electricity consumption monitoring method is characterized by comprising the following steps of:

performing exception verification on each electric equipment based on the second curve similar data to determine exception equipment;

performing exception verification on each electric equipment based on the second curve similar data, and determining exception equipment, wherein the exception verification comprises the following steps:

if the power-off verification equipment is normal equipment, selecting the next electric equipment to perform abnormal verification according to the second curve similar data;

the determining the actual power curve of the abnormal device according to the total actual power curve of the powered device after power failure, the total simulated power curve of the remaining powered device and the first simulated power curve of the abnormal device comprises the following steps:

2. The smart home electricity monitoring method as claimed in claim 1, further comprising:

3. The smart home power monitoring method of claim 1, wherein the analyzing the simulated power curve of each powered device based on the first differential power curve, determining second curve similarity data for the simulated power curve of each powered device, comprises:

4. The method for monitoring power consumption of smart home according to claim 1, wherein if the to-be-determined abnormal device is a first-level device, controlling other electric devices to be powered off in sequence for auxiliary verification, includes:

5. The smart home electricity monitoring method according to claim 1, wherein if the pending abnormal device is a second level device, directly performing power-off verification, comprising:

6. The smart home electricity monitoring method as claimed in claim 1, further comprising:

7. The smart home electricity monitoring method as claimed in claim 1, further comprising:

if the abnormality cause is a second abnormality cause;

8. An intelligent household electricity monitoring system, comprising:

the abnormality verification module is used for subtracting the total actual power curve and the total simulated power curve to obtain a first difference power curve; analyzing the simulated power curve of each electric equipment based on the first difference power curve, and determining second curve similar data of the simulated power curve of each electric equipment; performing exception verification on each electric equipment based on the second curve similar data to determine exception equipment;