CN112671785A - AI algorithm-based safe electricity utilization electric meter system - Google Patents
AI algorithm-based safe electricity utilization electric meter system Download PDFInfo
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- CN112671785A CN112671785A CN202011590381.5A CN202011590381A CN112671785A CN 112671785 A CN112671785 A CN 112671785A CN 202011590381 A CN202011590381 A CN 202011590381A CN 112671785 A CN112671785 A CN 112671785A
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Abstract
The invention relates to a safe electricity consumption electric meter system based on an AI algorithm, which comprises a cloud end used for storing IDs, keys and check passwords of all electric meters and one or more electricity consumption behavior control subsystems matched with the electric meters, wherein the electricity consumption behavior control subsystems are used for acquiring electricity consumption information after the electric meters generate electricity consumption behaviors, generating activation information corresponding to the electric meters, and outputting encrypted activation information after the encryption algorithm is used for encrypting the activation information. The invention ensures the safety of charging on one hand, and on the other hand, the invention is different from the electric meter only having a simple overvoltage and overcurrent protection function, and can judge whether the behavior of using an illegal electric appliance exists on the line or not by analyzing the collected current characteristics based on the implanted AI algorithm after being activated, thereby realizing the electric safety monitoring, not only ensuring the safety of the electric meter, but also ensuring the safety of electric equipment.
Description
Technical Field
The present invention relates to testing; the technical field of measurement, in particular to a safe electricity consumption electric meter system based on an AI algorithm.
Background
An electricity meter is a general term for various electric meters for measuring voltage, current, resistance, electric power, and the like.
In the prior art, the electric meters in the current second-level market generally have only metering and charging and simple overvoltage and overcurrent protection functions, but have no threshold for electricity connection, so that the safety of the electric meters cannot be guaranteed, and the safety of electric equipment cannot be guaranteed well.
Disclosure of Invention
The invention solves the problems in the prior art and provides an optimized safety electricity utilization meter system based on an AI algorithm.
The invention adopts the technical scheme that an AI algorithm-based safe electricity consumption meter system comprises:
the cloud end is used for storing the IDs, the keys and the check passwords of all the electric meters;
and the one or more power consumption behavior control subsystems are matched with the electricity meter, and are used for acquiring power consumption information after the electricity meter generates power consumption behaviors, generating activation information corresponding to the electricity meter, and outputting encrypted activation information after the encryption algorithm is used for encrypting.
Preferably, any one of the electricity consumption behavior control subsystems comprises:
the storage module is used for storing the ID, the secret key and the verification password of the electric meter;
the input module is used for receiving the encryption activation information sent by the cloud end and transmitting the encryption activation information to the operation module;
the operation module is used for decrypting the encrypted activation information based on the secret key in the storage module, extracting a verification password from the decrypted activation information and determining the right;
and the ammeter control module is used for obtaining the right confirming result of the operation module and controlling the ammeter based on the right confirming result.
Preferably, in the operation module, after the verification password is extracted from the decrypted activation information, if the verification password is the same as the verification password in the storage module, the encrypted activation information is valid, and the electrical appliance behavior judgment is performed, otherwise, the electrical appliance behavior judgment is invalid, and the electric meter is directly cut off.
Preferably, the electric appliance behavior judgment is realized based on an AI algorithm, and comprises the following steps:
step 1: acquiring big data, and splitting current characteristics of different electric equipment when the electric meter is used;
step 2: classifying the electric equipment, and marking current characteristics corresponding to the illegal electric appliance and/or the non-electric appliance;
and step 3: performing classifier training by using the marked current characteristics to obtain a stable classifier;
and 4, step 4: and (3) carrying out electric appliance behavior judgment on the trigger signal by using the trained classifier, cutting off the ammeter if the trigger signal is an illegal electric appliance and/or the trigger signal does not enter the electric appliance, and otherwise, feeding back the right-confirming information to the ammeter control module.
Preferably, the trigger signal is obtained by the electric meter control module after the electric meter is initially used, the electric meter control module sends the trigger signal to the cloud, the cloud sends out encryption activation information, and the encryption activation information comprises the current characteristic of the trigger signal.
Preferably, the electricity consumption behavior control subsystem further comprises a statistic module, which is used for counting the service condition of the electricity meter based on the control of the electricity meter by the electricity meter control module.
Preferably, the statistical module includes a payment policy unit, and after receiving control information of the electric meter control module on the electric meter, the statistical module updates the payment scheme and/or the remaining amount of the current electric meter at the cloud, and charges based on the payment policy unit of the current electric meter.
Preferably, the system further comprises an overcurrent and overvoltage protection module matched with the ammeter, and the overcurrent and overvoltage protection module is matched with the electricity consumption behavior control subsystem through the communication module.
Preferably, the system is further provided with an image acquisition module, and the image acquisition module is used for acquiring environmental photos and/or video streams of the plugging positions of the electric appliances and the electric meters.
Preferably, if an arc exists in the video stream at the plugging position of any electric appliance and the electric meter, and the duration of the arc exceeds a threshold value, the electric meter is disconnected;
and processing the environmental photos at regular time to obtain arc patterns at the plugging positions of the electric appliances and the electric meter, searching corresponding video streams, confirming the properties of the electric appliances, and forbidding and checking the current electric appliances.
The invention provides an optimized AI algorithm-based safe electricity consumption electric meter system, which stores IDs, keys and check passwords of all electric meters through a cloud, controls subsystems to cooperate with the electric meters through one or more electricity consumption behaviors, can acquire electricity consumption information after the electric meters generate electricity consumption behaviors, generates activation information corresponding to the electric meters, and outputs encrypted activation information after being encrypted through an encryption algorithm.
The invention can not only ensure the safety of the electric meter, but also ensure the safety of electric equipment.
Drawings
Fig. 1 is a block diagram of the system architecture of the present invention, wherein arrows indicate the direction of information transfer.
Detailed Description
The present invention is described in further detail with reference to the following examples, but the scope of the present invention is not limited thereto.
The invention relates to a safe electricity consumption meter system based on AI algorithm, the system includes:
the cloud end is used for storing the IDs, the keys and the check passwords of all the electric meters;
in the invention, the cloud is only used for managing the electric meter information, when a new electric meter is added, configuration needs to be executed at the cloud to ensure that the new electric meter can be managed, and the cloud does not participate in actual control.
And the one or more power consumption behavior control subsystems are matched with the electricity meter, and are used for acquiring power consumption information after the electricity meter generates power consumption behaviors, generating activation information corresponding to the electricity meter, and outputting encrypted activation information after the encryption algorithm is used for encrypting.
Any of the electricity usage behavior control subsystems includes:
the storage module is used for storing the ID, the secret key and the verification password of the electric meter;
the input module is used for receiving the encryption activation information sent by the cloud end and transmitting the encryption activation information to the operation module;
the operation module is used for decrypting the encrypted activation information based on the secret key in the storage module, extracting a verification password from the decrypted activation information and determining the right;
in the operation module, after the verification password is extracted from the decryption activation information, if the verification password is the same as the verification password in the storage module, the encryption activation information is valid, the electric appliance behavior judgment is carried out, and if the verification password is invalid, the electric meter is directly cut off.
The electric appliance behavior judgment is realized based on an AI algorithm, and comprises the following steps:
step 1: acquiring big data, and splitting current characteristics of different electric equipment when the electric meter is used;
step 2: classifying the electric equipment, and marking current characteristics corresponding to the illegal electric appliance and/or the non-electric appliance;
and step 3: performing classifier training by using the marked current characteristics to obtain a stable classifier;
and 4, step 4: and (3) carrying out electric appliance behavior judgment on the trigger signal by using the trained classifier, cutting off the ammeter if the trigger signal is an illegal electric appliance and/or the trigger signal does not enter the electric appliance, and otherwise, feeding back the right-confirming information to the ammeter control module.
The trigger signal is obtained by an ammeter control module after the ammeter is initially used, the ammeter control module sends the trigger signal to a cloud end, the cloud end sends encryption activation information, and the encryption activation information comprises current characteristics of the trigger signal.
And the ammeter control module is used for obtaining the right confirming result of the operation module and controlling the ammeter based on the right confirming result.
In the invention, the electricity consumption behavior control subsystem is matched with the electric meters, generally, one electricity consumption behavior control subsystem is used for controlling a plurality of electric meters, when the electricity consumption appliances are connected with the electric meters, instantaneous trigger signals are generated, the electric meter control module sends the trigger signals to the cloud end, and the cloud end sends encrypted activation information to confirm the right.
In the invention, the encrypted activation information comprises the encrypted electricity utilization information acquired after the electricity utilization behavior is generated and the corresponding activation information of the electric meter, and is sent out by the cloud; the input module receives the encrypted activation information sent by the cloud, the encrypted activation information is sent to the operation module to be decrypted, the verification password is extracted from the decrypted activation information, the verification password is checked and authenticated with the ID, the secret key and the verification password of the electric meter stored in the storage module, if the verification password is the same as the verification password in the storage module, the encrypted activation information is valid, electric appliance behavior judgment is carried out, and if the verification password is invalid, the electric meter is directly cut off.
In the invention, the right determination comprises electric appliance behavior judgment, namely whether the current electric appliance can be adapted to the current electric meter or not is judged through the electric appliance behavior, and the method is realized based on an AI algorithm and comprises a training stage and an actual working stage; in the training stage, by sorting the big data, current characteristics of different electric equipment when the electric meter is used are obtained, the electric equipment is classified based on the current characteristics, current characteristics corresponding to an illegal electric appliance and/or an inaccurate electric appliance are labeled, classifier training is carried out according to the labeled current characteristics, a stable classifier is obtained, and the classifier can be selected according to the requirements of technicians in the field and can be set by the self, including but not limited to an SVM classifier; and in the actual working stage, the trained classifier is used for judging the behavior of the electric appliance on the trigger signal, if the electric appliance is illegal and/or the electric appliance is not allowed to be accessed, the electric meter is cut off, and otherwise, the right-confirming information is fed back to the electric meter control module.
And the ammeter control module is used for obtaining the right confirming result of the operation module and controlling the ammeter based on the right confirming result.
In the invention, the electric meter control module obtains the access information fed back by the operation module, and then the electric meter and the electric appliance are put through formally, and the electric appliance works.
The electricity consumption behavior control subsystem further comprises a statistics module, and the statistics module is used for carrying out statistics on the service condition of the electric meter based on the control of the electric meter control module on the electric meter.
The statistical module comprises a payment strategy unit, updates the payment scheme and/or the residual amount of the current ammeter at the cloud after receiving the control information of the ammeter control module on the ammeter, and charges based on the payment strategy unit of the current ammeter.
In the invention, a statistical module is used for charging, the charging comprises a plurality of different payment schemes, including but not limited to prepayment, counting, timing and the like, and the actual settlement of the fee is carried out by matching with the residual amount.
The system also comprises an overcurrent and overvoltage protection module matched with the ammeter, and the overcurrent and overvoltage protection module is matched with the electricity consumption behavior control subsystem through the communication module.
The system is also provided with an image acquisition module which is used for acquiring environmental photos and/or video streams of the plugging positions of the electric appliances and the electric meters.
If an electric arc exists in the video stream at the plugging position of any electric appliance and the electric meter, and the duration of the electric arc exceeds a threshold value, switching off the electric meter;
and processing the environmental photos at regular time to obtain arc patterns at the plugging positions of the electric appliances and the electric meter, searching corresponding video streams, confirming the properties of the electric appliances, and forbidding and checking the current electric appliances.
In the invention, the electric meter can be further controlled by taking whether the electric appliance generates electric arcs in actual use as a standard; through the environmental photo and/or the video stream of gathering the plug-in position of electrical apparatus and ammeter, if the video stream shows that the electric arc exists all the time or exceeds threshold value time, it is higher to indicate the risk, directly disconnects with the ammeter electric apparatus, and if there is short time electric arc, the video stream does not report to the police, and through the discovery of tracing back of photo, forbid and investigate the electrical apparatus, can continue to use after confirming inerrably.
In the present invention, the algorithm for monitoring the arc is a technique already disclosed in the art, and a person skilled in the art can process the image according to the prior art to obtain the arc information.
According to the invention, the IDs, the keys and the check passwords of all the electric meters are stored through the cloud, one or more electric consumption behavior control subsystems are matched with the electric meters, the electric consumption information can be obtained after the electric meters generate the electric consumption behaviors, the activation information corresponding to the electric meters is generated, and the encrypted activation information is output after being encrypted by the encryption algorithm, so that on one hand, the charging safety is ensured, and on the other hand, the electric meters are different from the electric meters only having a simple overvoltage and overcurrent protection function, and after being activated, whether behaviors of using illegal electric appliances exist on a line or not can be judged by analyzing the collected current characteristics based on the implanted AI algorithm, and further the electric consumption safety monitoring is realized.
The invention can not only ensure the safety of the electric meter, but also ensure the safety of electric equipment.
Claims (10)
1. The utility model provides a safe electricity consumption ammeter system based on AI algorithm which characterized in that: the system comprises:
the cloud end is used for storing the IDs, the keys and the check passwords of all the electric meters;
and the one or more power consumption behavior control subsystems are matched with the electricity meter, and are used for acquiring power consumption information after the electricity meter generates power consumption behaviors, generating activation information corresponding to the electricity meter, and outputting encrypted activation information after the encryption algorithm is used for encrypting.
2. The AI algorithm-based safe electricity consumption meter system according to claim 1, wherein: any of the electricity usage behavior control subsystems includes:
the storage module is used for storing the ID, the secret key and the verification password of the electric meter;
the input module is used for receiving the encryption activation information sent by the cloud end and transmitting the encryption activation information to the operation module;
the operation module is used for decrypting the encrypted activation information based on the secret key in the storage module, extracting a verification password from the decrypted activation information and determining the right;
and the ammeter control module is used for obtaining the right confirming result of the operation module and controlling the ammeter based on the right confirming result.
3. The AI algorithm-based safe electricity consumption meter system according to claim 2, wherein: in the operation module, after the verification password is extracted from the decryption activation information, if the verification password is the same as the verification password in the storage module, the encryption activation information is valid, the electric appliance behavior judgment is carried out, and if the verification password is invalid, the electric meter is directly cut off.
4. The AI algorithm-based safe electricity consumption meter system according to claim 3, wherein: the electric appliance behavior judgment is realized based on an AI algorithm, and comprises the following steps:
step 1: acquiring big data, and splitting current characteristics of different electric equipment when the electric meter is used;
step 2: classifying the electric equipment, and marking current characteristics corresponding to the illegal electric appliance and/or the non-electric appliance;
and step 3: performing classifier training by using the marked current characteristics to obtain a stable classifier;
and 4, step 4: and (3) carrying out electric appliance behavior judgment on the trigger signal by using the trained classifier, cutting off the ammeter if the trigger signal is an illegal electric appliance and/or the trigger signal does not enter the electric appliance, and otherwise, feeding back the right-confirming information to the ammeter control module.
5. The AI algorithm-based safe electricity consumption meter system according to claim 4, wherein: the trigger signal is obtained by an ammeter control module after the ammeter is initially used, the ammeter control module sends the trigger signal to a cloud end, the cloud end sends encryption activation information, and the encryption activation information comprises current characteristics of the trigger signal.
6. The AI algorithm-based safe electricity consumption meter system according to claim 2, wherein: the electricity consumption behavior control subsystem further comprises a statistics module, and the statistics module is used for carrying out statistics on the service condition of the electric meter based on the control of the electric meter control module on the electric meter.
7. The AI algorithm-based safe electricity consumption meter system according to claim 6, wherein: the statistical module comprises a payment strategy unit, updates the payment scheme and/or the residual amount of the current ammeter at the cloud after receiving the control information of the ammeter control module on the ammeter, and charges based on the payment strategy unit of the current ammeter.
8. The AI algorithm-based safe electricity consumption meter system according to claim 1, wherein: the system also comprises an overcurrent and overvoltage protection module matched with the ammeter, and the overcurrent and overvoltage protection module is matched with the electricity consumption behavior control subsystem through the communication module.
9. The AI algorithm-based safe electricity consumption meter system according to claim 1, wherein: the system is also provided with an image acquisition module which is used for acquiring environmental photos and/or video streams of the plugging positions of the electric appliances and the electric meters.
10. The AI algorithm-based safe electricity consumption meter system according to claim 9, wherein: if an electric arc exists in the video stream at the plugging position of any electric appliance and the electric meter, and the duration of the electric arc exceeds a threshold value, switching off the electric meter;
and processing the environmental photos at regular time to obtain arc patterns at the plugging positions of the electric appliances and the electric meter, searching corresponding video streams, confirming the properties of the electric appliances, and forbidding and checking the current electric appliances.
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| CN111551773A (en) * | 2020-05-14 | 2020-08-18 | 资明 | Intelligent power management system |
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| CN102338834A (en) * | 2010-07-16 | 2012-02-01 | 财团法人工业技术研究院 | Household appliance detection method and system |
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