CN114492947A - Household electrical appliance line aging pre-judging method and equipment based on current fingerprint technology and electronic medium - Google Patents
Household electrical appliance line aging pre-judging method and equipment based on current fingerprint technology and electronic medium Download PDFInfo
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Abstract
The invention discloses a method, equipment and an electronic medium for pre-judging the line aging of household electrical appliances based on a current fingerprint technology, wherein the method comprises the following steps of 1, carrying out high-frequency sampling on each line of a household and judging whether an electrical appliance is connected, if so, executing a step 2, otherwise, repeating the step 1; step 2, calculating target current fingerprint characteristics of the accessed electric appliance, and judging the type of the accessed electric appliance based on a preset current fingerprint characteristic sample set; step 3, establishing a power utilization behavior habit model based on the use condition of the electric appliance; and 4, giving an alarm when the electricity utilization behavior deviates from the electricity utilization behavior habit model. The method comprises the steps of setting a current fingerprint characteristic sample set, accessing target current fingerprint characteristics of the electric appliance for matching, thereby obtaining the type of the currently accessed electric appliance, judging whether the electricity utilization behavior is abnormal or not by combining an electricity utilization behavior habit model, and giving an alarm when the electricity utilization behavior is abnormal.
Description
Technical Field
The invention belongs to the technical field of current fingerprints, and particularly relates to a method and equipment for pre-judging the line aging of a household electrical appliance based on a current fingerprint technology, and an electronic medium.
Background
The aging of the wire line mainly refers to the condition that the insulation layer and the protective layer of the wire lose the insulation and protection functions under the action of factors such as long-time illumination, cold and hot shock caused by temperature change, corrosive gas, pressure change, vibration and the like.
At present, the line inspection and calculation of the electric appliances are manually checked at home. The above method can only be checked by a household calling a person to go to the door periodically, which is troublesome and time-consuming.
Disclosure of Invention
The invention aims to provide a method, equipment and an electronic medium for pre-judging the line aging of a household electrical appliance based on a current fingerprint technology, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
a household electrical appliance line aging prejudging method based on a current fingerprint technology comprises the following steps:
step 1, performing high-frequency sampling on each household line and judging whether an electric appliance is accessed, if so, executing step 2, otherwise, repeating the step 1;
step 2, calculating target current fingerprint characteristics of the accessed electric appliance, and judging the type of the accessed electric appliance based on a preset current fingerprint characteristic sample set;
step 3, establishing a power utilization behavior habit model based on the use condition of the electric appliance;
and 4, giving an alarm when the electricity utilization behavior deviates from the electricity utilization behavior habit model.
Preferably, in step 1, whether an electrical appliance is connected is determined, whether the change of the instantaneous current is greater than a preset value is determined, if yes, the electrical appliance is connected, and if not, no electrical appliance is connected.
Preferably, in step 2, the current fingerprint feature sample set includes a plurality of current fingerprint feature samples, where any fingerprint feature sample includes an electrical appliance type and a corresponding multidimensional feature, and the multidimensional feature includes active power p, reactive power q, third harmonic h, ripple extreme point number e, and power factor f.
Preferably, the step 2 is to calculate a multi-dimensional feature difference condition between the target current fingerprint feature and any current fingerprint feature sample in the current fingerprint feature sample set, obtain an electrical appliance type in the current fingerprint feature sample corresponding to the minimum multi-dimensional feature difference condition, and use the electrical appliance type as the type of the connected electrical appliance.
Preferably, the step 3 is to model the electricity utilization action of the user by using the behavior event analysis model according to the access time and the type of the accessed electric appliance to obtain an electricity utilization behavior habit model, and self-learn and correct the electricity utilization behavior habit model based on the daily electricity utilization condition.
Preferably, the system further comprises a single monitoring backtracking mechanism, wherein the monitoring backtracking triggering mechanism is used for associating each line with monitoring, and calling a monitoring video in a preset time period when an alarm is given.
Preferably, the method further comprises a secondary verification step: the method comprises the steps of collecting daily total power consumption of all lines in a first preset time period, constructing a power consumption prediction model based on a time sequence, collecting daily total power consumption of all lines in a second preset time period, and optimizing the power consumption prediction model; and predicting the total power consumption of the current day based on the power consumption prediction model, and judging whether the deviation value between the actual total power consumption and the predicted total power consumption is greater than a preset value, if so, performing early warning, and otherwise, not performing early warning.
Preferably, the system further comprises a multi-monitoring live-action triggering mechanism, wherein each line is associated with the corresponding monitoring, and the real-time monitoring picture of the corresponding line is called when the alarm is given.
An electronic device comprising a memory for storing a computer executable program; and the data processing device is used for reading the computer executable program in the memory so as to execute the household appliance line aging prejudging method based on the current fingerprint technology.
A computer readable medium for storing a computer readable program for executing any one of the current fingerprint technology-based home appliance line aging prediction methods.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the current fingerprint characteristic sample set is set, and the target current fingerprint characteristics of the accessed electric appliance are matched, so that the type of the currently accessed electric appliance is obtained, whether the power utilization behavior is abnormal or not is judged by combining the power utilization behavior habit model, and an alarm is given out when the power utilization behavior is abnormal, so that the safety of personnel is ensured.
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FIG. 1 is a flow chart of the present invention.
Fig. 2 is an architecture diagram of the electronic device of the present invention.
FIG. 3 is a schematic diagram of a computer readable medium of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without any inventive step, are within the scope of the present invention.
A household electrical appliance line aging prejudging method based on a current fingerprint technology comprises the following steps:
step 1, performing high-frequency sampling on each household line and judging whether an electric appliance is accessed, if so, executing step 2, otherwise, repeating step 1.
In the step 1, whether an electric appliance is connected or not is judged, whether the change of the instantaneous current is larger than a preset value or not is judged, if yes, the electric appliance is connected, and if not, no electric appliance is connected.
In the invention, each line is provided with an acquisition module for high-frequency sampling, and when instantaneous current jumps, an electric appliance is connected.
And 2, calculating the target current fingerprint characteristics of the accessed electric appliance, and judging the type of the accessed electric appliance based on a preset current fingerprint characteristic sample set.
In the invention, the current fingerprint is a general name of a multi-dimensional feature set when the equipment runs. In the step 2, the current fingerprint feature sample set comprises a plurality of current fingerprint feature samples, any fingerprint feature sample comprises an electric appliance type and corresponding multidimensional features, and the multidimensional features comprise active power p, reactive power q, third harmonic h, ripple extreme point number e and power factor f.
In step 2, the judging the type of the accessed electric appliance based on the preset current fingerprint feature sample set comprises: and calculating the multi-dimensional characteristic difference condition of the target current fingerprint characteristic and any current fingerprint characteristic sample in the current fingerprint characteristic sample set, acquiring the type of the electric appliance in the current fingerprint characteristic sample corresponding to the minimum multi-dimensional characteristic difference condition, and taking the type as the type of the connected electric appliance. Here, the multi-dimensional feature difference between the target current fingerprint feature and any current fingerprint feature sample in the current fingerprint feature sample set can be calculated according to an euclidean distance calculation formula, and how to calculate the multi-dimensional feature difference according to the euclidean distance is a conventional technical means in the field, and a person skilled in the art can set the difference according to the actual situation. In the invention, when the multi-dimensional characteristic difference situation of a plurality of current fingerprint characteristic samples A, B in the current fingerprint characteristic sample set is consistent with the multi-dimensional characteristic difference situation of the target current fingerprint characteristic, the type of the accessed electric appliance is set to belong to the electric appliance type corresponding to the current fingerprint characteristic sample A and the electric appliance type corresponding to the current fingerprint characteristic sample B.
And 3, establishing a power utilization behavior habit model based on the use condition of the electric appliance.
Specifically, in the step 3, according to the access time and the type of the accessed electric appliance, the behavior event analysis model is used for modeling the electricity utilization action of the user to obtain an electricity utilization behavior habit model, and the electricity utilization behavior habit model is self-learned and corrected based on the daily electricity utilization condition.
And 4, giving an alarm when the electricity utilization behavior deviates from the electricity utilization behavior habit model.
Furthermore, the invention also comprises a single monitoring backtracking mechanism, wherein the monitoring backtracking triggering mechanism is used for associating each line with a monitor, and calling the monitoring video in a preset time period when an alarm is given. Generally, the preset time period is a monitoring video picture half hour before the alarm.
Furthermore, the monitoring video is a behavior action picture. In the invention, the monitoring video pictures of half an hour are dynamically captured to obtain the dynamic pictures of people, and the dynamic pictures in the preset time period are output as the monitoring video. According to the invention, the monitoring video in the preset time period is filtered, and the artificial action picture is screened out, so that whether a problem occurs or not can be judged quickly.
In the invention, as another option, the monitoring backtracking mechanism can be changed into a multi-monitoring live-action triggering mechanism, each line is associated with corresponding monitoring, and a real-time monitoring picture of the corresponding line is called when an alarm is given. The user side can conveniently and rapidly monitor the state of the user.
Further, the invention also comprises a secondary verification step: the method comprises the steps of collecting daily total power consumption of all lines in a first preset time period, constructing a power consumption prediction model based on a time sequence, collecting daily total power consumption of all lines in a second preset time period, and optimizing the power consumption prediction model; and predicting the total power consumption of the current day based on the power consumption prediction model, and judging whether the deviation value between the actual total power consumption and the predicted total power consumption is greater than a preset value, if so, performing early warning, and otherwise, not performing early warning.
In the following, embodiments of the electronic device of the present invention are described, which may be regarded as an implementation in physical form for the above-described embodiments of the method and apparatus of the present invention. Details described in the embodiments of the electronic device of the invention should be considered supplementary to the embodiments of the method or apparatus described above; for details which are not disclosed in embodiments of the electronic device of the invention, reference may be made to the above-described embodiments of the method or the apparatus.
In addition, the invention also provides electronic equipment which can be used as a household electrical appliance line aging prejudging method based on the current fingerprint technology. Fig. 2 is a schematic structural framework diagram of an electronic device according to the present invention, and as shown in fig. 2, the electronic device includes a memory for storing a computer-executable program and a data processing device for reading the computer-executable program in the memory to execute the method for predicting line aging of a home appliance based on current fingerprint technology. The memory of the invention can be a local memory, and can also be a distributed storage system, such as a cloud storage system. The data processor includes at least one device with digital information processing capability, such as a CPU, GPU, multiprocessor system, or cloud processor.
Furthermore, the invention also provides a computer readable medium for storing a computer readable program, wherein the computer readable program is used for executing the method for predicting the line aging of the household electrical appliance based on the current fingerprint technology. FIG. 3 is a schematic diagram of one computer-readable medium embodiment of the present invention. As shown in fig. 3, the computer program may be stored on one or more computer readable media. The computer readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. When the computer program is executed by one or more data processing devices, the computer readable medium is enabled to implement the household appliance line aging prediction method based on the current fingerprint technology of the present invention.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments of the present invention described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiment of the present invention can be embodied in the form of a software product, which can be stored in a computer-readable storage medium (which can be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to make a data processing device (which can be a personal computer, a server, or a network device, etc.) execute the above-mentioned method according to the present invention.
Claims (10)
1. A household electrical appliance line aging prejudging method based on a current fingerprint technology is characterized by comprising the following steps:
step 1, performing high-frequency sampling on each household line and judging whether an electric appliance is accessed, if so, executing step 2, otherwise, repeating the step 1;
step 2, calculating target current fingerprint characteristics of the accessed electric appliance, and judging the type of the accessed electric appliance based on a preset current fingerprint characteristic sample set;
step 3, establishing a power utilization behavior habit model based on the use condition of the electric appliance;
and 4, giving an alarm when the electricity utilization behavior deviates from the electricity utilization behavior habit model.
2. The method for predicting the line aging of the household electrical appliances based on the current fingerprint technology as claimed in claim 1, wherein in the step 1, whether the electrical appliances are connected or not is judged, whether the change of the instantaneous current is larger than a preset value or not is judged, if yes, the electrical appliances are connected, and if not, no electrical appliances are connected.
3. The method for predicting line aging of household electrical appliances based on the current fingerprint technology as claimed in claim 1, wherein in the step 2, the current fingerprint feature sample set includes a plurality of current fingerprint feature samples, each of the current fingerprint feature samples includes an appliance type and a corresponding multidimensional feature, and the multidimensional feature includes an active power p, a reactive power q, a third harmonic h, a number e of ripple extreme points, and a power factor f.
4. The method for predicting the line aging of the household electrical appliances based on the current fingerprint technology as claimed in claim 3, wherein the step 2 is to calculate the multi-dimensional characteristic difference condition of the target current fingerprint characteristic and any current fingerprint characteristic sample in the current fingerprint characteristic sample set, obtain the electrical appliance type in the current fingerprint characteristic sample corresponding to the minimum multi-dimensional characteristic difference condition, and use the electrical appliance type as the type of the accessed electrical appliance.
5. The method as claimed in claim 4, wherein the step 3 is to model the electricity consumption action of the user by using the behavior event analysis model according to the connection time and the type of the connected electric appliance, to obtain the electricity consumption behavior habit model, and to self-learn and correct the electricity consumption behavior habit model based on the daily electricity consumption condition.
6. The method for predicting the line aging of the household electrical appliances based on the current fingerprint technology as claimed in claim 1, further comprising a single monitoring backtracking mechanism, wherein the monitoring backtracking triggering mechanism is to associate each line with monitoring, and to call a monitoring video within a preset time period when an alarm is given.
7. The method as claimed in claim 1, further comprising a multi-monitoring live-action triggering mechanism for associating each line with a corresponding monitor, and calling a real-time monitoring picture of the corresponding line when an alarm is given.
8. The method for predicting the line aging of the household electrical appliance based on the current fingerprint technology as claimed in claim 1, further comprising a secondary verification step of: the method comprises the steps of collecting daily total power consumption of all lines in a first preset time period, constructing a power consumption prediction model based on a time sequence, collecting daily total power consumption of all lines in a second preset time period, and optimizing the power consumption prediction model; and predicting the total power consumption of the current day based on the power consumption prediction model, and judging whether the deviation value between the actual total power consumption and the predicted total power consumption is greater than a preset value, if so, performing early warning, and otherwise, not performing early warning.
9. An electronic device, comprising
A memory for storing a computer executable program;
a data processing device for reading the computer executable program in the memory to execute the method for predicting the line aging of the household electrical appliance based on the current fingerprint technology in any one of claims 1 to 8.
10. A computer readable medium for storing a computer readable program, wherein the computer readable program is used for executing the method for predicting line aging of a home appliance based on current fingerprint technology of any one of claims 1 to 8.
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| CN202111683531.1A CN114492947A (en) | 2021-12-31 | 2021-12-31 | Household electrical appliance line aging pre-judging method and equipment based on current fingerprint technology and electronic medium |
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| CN202111683531.1A CN114492947A (en) | 2021-12-31 | 2021-12-31 | Household electrical appliance line aging pre-judging method and equipment based on current fingerprint technology and electronic medium |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118033219A (en) * | 2024-04-11 | 2024-05-14 | 广东中城智联科技有限公司 | Power utilization management method and system based on AI current fingerprint |
| CN118033219B (en) * | 2024-04-11 | 2024-07-02 | 广东中城智联科技有限公司 | Power utilization management method and system based on AI current fingerprint |
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2021
- 2021-12-31 CN CN202111683531.1A patent/CN114492947A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118033219A (en) * | 2024-04-11 | 2024-05-14 | 广东中城智联科技有限公司 | Power utilization management method and system based on AI current fingerprint |
| CN118033219B (en) * | 2024-04-11 | 2024-07-02 | 广东中城智联科技有限公司 | Power utilization management method and system based on AI current fingerprint |
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