Monitoring method and device of electrical equipment, central control equipment and medium

Abstract

The embodiment of the invention provides an electrical equipment monitoring method and device, central control equipment and a medium. The method comprises the following steps: acquiring equipment information of electrical equipment of a user; the equipment information comprises circuit state information, and the circuit state information comprises at least one of current fluctuation information, infrared temperature information and ultrasonic information of the circuit; according to the equipment information and an electric appliance monitoring model obtained through pre-training, an abnormity monitoring result generated by the electric appliance monitoring model is obtained, and the abnormity monitoring result comprises abnormity position information and abnormity reason information; and outputting an abnormal monitoring result to a user. According to the embodiment of the invention, the abnormity monitoring result is obtained according to the circuit state information, the abnormity can be found in time when the abnormity is tiny, the abnormal position can be positioned, a user can be helped to process quickly, and the safety of using electrical equipment is improved.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to a monitoring method and device for electrical equipment, a central control device and a computer-readable storage medium. Background Art

[0002] With the rapid development of information technology and the Internet of Things, more and more electrical appliances are entering people's field of vision. Through the Internet of Things technology, various electrical appliances in the home, such as refrigerators, washing machines, air conditioners, table lamps, and socket switches, are integrated into one, which can realize a full range of information interaction functions and provide users with higher comfort and better safety performance.

[0003] In the related art, in order to ensure the safe use of electrical equipment, security protection is usually carried out by installing cameras, etc., various electrical equipment in the house are monitored through video images, and safety reminders are issued when abnormal situations are detected.

[0004] Normally, the anomaly needs to develop into a more obvious situation before it can be discovered through video surveillance to alert the user, which may result in the inability to handle the anomaly in a timely manner and fail to meet the actual needs of the user. Summary of the invention

[0005] In view of the above problems, embodiments of the present invention are proposed to provide a method, device, central control device and computer-readable storage medium for monitoring electrical equipment that overcome the above problems or at least partially solve the above problems.

[0006] In one aspect, an embodiment of the present invention provides a method for monitoring an electrical device, the method comprising:

[0007] Acquire device information of the electrical device of the user; the device information includes circuit state information, and the circuit state information includes at least one of current fluctuation information, infrared temperature information and ultrasonic information of the circuit;

[0008] According to the device information and the pre-trained electrical appliance monitoring model, obtaining an abnormal monitoring result generated by the electrical appliance monitoring model, wherein the abnormal monitoring result includes abnormal location information and abnormal cause information;

[0009] The abnormal monitoring result is output to the user.

[0010] Optionally, the electrical appliance monitoring model is trained by the following method:

[0011] Acquire a basic monitoring model, where the basic monitoring model is trained based on parameter information of the electrical equipment of multiple users;

[0012] Obtain parameter information of the electrical device of the user;

[0013] The basic monitoring model is trained according to the parameter information of the electrical equipment of the user to obtain the electrical equipment monitoring model.

[0014] Optionally, the current fluctuation information includes an actual value of the current fluctuation;

[0015] The step of obtaining the abnormal monitoring result generated by the electrical appliance monitoring model according to the device information and the pre-trained electrical appliance monitoring model includes:

[0016] Acquire a current fluctuation prediction value and a current fluctuation threshold for the electrical equipment through the electrical equipment monitoring model;

[0017] Determining a current fluctuation error value between the current fluctuation actual value and the current fluctuation predicted value;

[0018] If the absolute value of the current fluctuation error value is greater than the current fluctuation threshold, it is determined that abnormal current fluctuation exists;

[0019] Determine the electrical device to which the abnormal current fluctuation belongs and use it as the first abnormal electrical device;

[0020] Acquiring structural information of the first abnormal electrical device;

[0021] According to the structural information of the first abnormal electrical device, the abnormal position of the first abnormal electrical device is determined, and first abnormal position information is generated.

[0022] Optionally, the infrared temperature information includes an actual value of the infrared temperature;

[0023] The step of obtaining the abnormal monitoring result generated by the electrical appliance monitoring model according to the device information and the pre-trained electrical appliance monitoring model includes:

[0024] Obtaining infrared temperature prediction values ​​and infrared temperature thresholds for electrical equipment through the electrical equipment monitoring model;

[0025] Determining an infrared temperature error value between the infrared temperature actual value and the infrared temperature predicted value;

[0026] If the absolute value of the infrared temperature error value is greater than the infrared temperature threshold value, it is determined that an abnormal infrared temperature exists;

[0027] Determine the electrical device to which the abnormal infrared temperature belongs and use it as the second abnormal electrical device;

[0028] Acquiring structural information of the second abnormal electrical device;

[0029] According to the structural information of the second abnormal electrical device, the abnormal position of the second abnormal electrical device is determined, and second abnormal position information is generated.

[0030] Optionally, the ultrasonic information includes an actual ultrasonic value;

[0031] The step of obtaining the abnormal monitoring result generated by the electrical appliance monitoring model according to the device information and the pre-trained electrical appliance monitoring model includes:

[0032] Acquire the ultrasonic prediction value and ultrasonic threshold value for the electrical equipment through the electrical equipment monitoring model;

[0033] determining an ultrasonic error value between the ultrasonic actual value and the ultrasonic predicted value;

[0034] If the absolute value of the ultrasonic error value is greater than the ultrasonic threshold value, it is determined that an abnormal ultrasonic wave exists;

[0035] Determine the electrical device to which the abnormal ultrasonic wave belongs and use it as the third abnormal electrical device;

[0036] Acquiring structural information of the third abnormal electrical device;

[0037] According to the structural information of the third abnormal electrical device, the abnormal position of the third abnormal electrical device is determined, and third abnormal position information is generated.

[0038] Optionally, the acquiring device information of the electrical device of the user includes:

[0039] Acquiring the current fluctuation information detected by a current sensor disposed on the electrical device;

[0040] Acquiring the infrared temperature information detected by an infrared detector arranged on the electrical device;

[0041] The ultrasonic information detected by an ultrasonic detector arranged on the electrical device is obtained.

[0042] Optionally, the device information includes the usage time of the electrical device;

[0043] The step of obtaining the abnormal monitoring result generated by the electrical appliance monitoring model according to the device information and the pre-trained electrical appliance monitoring model includes:

[0044] Acquire a usage time threshold for the electrical device through the electrical device monitoring model;

[0045] If the usage duration is greater than or equal to the usage duration threshold, it is determined that there is abnormal usage duration;

[0046] Determine the electrical device to which the abnormal usage duration belongs, and use it as the fourth abnormal electrical device;

[0047] The abnormal electrical device information is generated according to the fourth abnormal electrical device.

[0048] On the other hand, an embodiment of the present invention provides a monitoring device for an electrical device, the device comprising:

[0049] A device information acquisition module, used to acquire device information of the electrical device of the user; the device information includes circuit state information, and the circuit state information includes at least one of current fluctuation information, infrared temperature information and ultrasonic information of the circuit;

[0050] A monitoring result acquisition module, used to obtain an abnormal monitoring result generated by the electrical appliance monitoring model according to the device information and the pre-trained electrical appliance monitoring model, wherein the abnormal monitoring result includes abnormal location information and abnormal cause information;

[0051] The monitoring result output module is used to output the abnormal monitoring result to the user.

[0052] On the other hand, an embodiment of the present invention provides a central control device, including: a processor, a memory, and a computer program stored in the memory and capable of running on the processor, and when the computer program is executed by the processor, the steps of the monitoring method of electrical equipment as described above are implemented.

[0053] On the other hand, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the monitoring method of an electrical device as described above are implemented.

[0054] The embodiments of the present invention include the following advantages:

[0055] By obtaining the device information of the electrical equipment and obtaining the monitoring results based on the device information and the pre-trained electrical monitoring model, when an abnormality occurs in the electrical equipment, the abnormal monitoring results can be directly obtained and output to the user, so that the user can handle the abnormality, thereby ensuring the safe use of the electrical equipment.

[0056] The acquired device information includes at least one of the current fluctuation information, infrared temperature information and ultrasonic information of the circuit. The abnormal monitoring results are generated based on this information, which can detect the abnormality in time when it is relatively subtle, thereby reducing the probability of further deterioration of the abnormal situation. At the same time, the abnormal monitoring results include abnormal location information and abnormal cause information. By locating the specific location of the abnormality and providing cause information, it can help users quickly deal with the abnormality, further improving the safety of using electrical equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments of the present invention. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor.

[0058] Figure 1 is a flowchart of a method for monitoring electrical equipment provided by an embodiment of the present invention;

[0059] Figure 2 is a schematic diagram of a scenario for training an electrical appliance monitoring model provided by an embodiment of the present invention;

[0060] Figure 3 The present invention is a structural block diagram of a monitoring device for electrical equipment provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0061] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0062] With the rapid development of information technology and the Internet of Things, more and more electrical appliances are entering people's field of vision. Through the Internet of Things technology, various electrical appliances in the home, such as refrigerators, washing machines, air conditioners, table lamps, and socket switches, are integrated into one, which can realize a full range of information interaction functions and provide users with higher comfort and better safety performance.

[0063] In the related art, in order to ensure the safety of electrical equipment, security protection is usually carried out by installing cameras, etc., and various electrical equipment in the house are monitored through video images, and safety reminders are issued when abnormal conditions are detected. Usually, the abnormality needs to develop to a more obvious situation before it can be discovered through video monitoring, thereby reminding the user. Therefore, the abnormality cannot be handled in time, which cannot meet the actual needs of users.

[0064] In the embodiment of the present invention, the abnormal monitoring result is obtained according to the device information of the electrical device and the pre-trained electrical monitoring model. The device information includes at least one of the current fluctuation information, infrared temperature information and ultrasonic information of the circuit. According to this information, the specific location of the abnormality can be located and the cause information can be provided, so as to help the user quickly deal with the abnormality and improve the safety of using the electrical device.

[0065] Figure 1 is a flowchart of a method for monitoring an electrical device provided by an embodiment of the present invention. Figure 1 As shown, the method may specifically include the following steps:

[0066] Step 101, obtaining device information of the user's electrical device;

[0067] The equipment information of the electrical equipment includes circuit status information, and the circuit status information includes at least one of current fluctuation information, infrared temperature information and ultrasonic information of the circuit.

[0068] By establishing data communication between the electrical device and the central control device, the electrical device can send device information to the central control device in real time. After the central control device obtains the device information of the electrical device, it can detect whether the electrical device is abnormal according to the device information.

[0069] The electrical equipment may be a refrigerator, a washing machine, an air conditioner, a microwave oven, an electric rice cooker, a television, a socket switch, and other equipment that utilizes electrical energy to work. The embodiment of the present invention does not impose any restriction on the specific type of the electrical equipment.

[0070] The central control device is an electronic device used to centrally control various electrical equipment. It can communicate data with electrical equipment through communication protocols, thereby monitoring the operating status of electrical equipment in real time.

[0071] The central control device may be an electronic device such as a central control screen, a smart phone, a tablet, a laptop computer, etc. The embodiment of the present invention does not impose any limitation on the specific type of the central control device.

[0072] In some embodiments, a time interval may be preset to obtain device information of an electrical device at a certain time interval. In actual application scenarios, a specific value of the time interval may be set according to actual needs, and the present invention does not limit this.

[0073] In some embodiments, step 101 specifically includes the following sub-steps:

[0074] Sub-step S11, obtaining current fluctuation information detected by a current sensor disposed on the electrical device;

[0075] A current sensor is a current detection device that can sense the information of the measured current and convert the sensed information into a form that meets specific standard requirements according to specific rules for output to meet the needs of transmission, processing, storage, display and control.

[0076] When wires are broken or components on a circuit board are damaged, the current will fluctuate. Therefore, it is possible to detect whether there is abnormal current fluctuation by obtaining current fluctuation information, thereby determining whether there is abnormality in the electrical equipment.

[0077] Sub-step S12, obtaining infrared temperature information detected by an infrared detector installed on the electrical device;

[0078] Infrared detector is a device that uses the principle of infrared radiation for detection. It can gather the infrared radiation energy of the target object in its field of view through the optical system, and convert the infrared radiation energy into corresponding electrical signals on the photoelectric detector. The electrical signals are then converted into the temperature value or other related parameters of the measured target after conversion.

[0079] When the circuit is aged, the load is too large or the contact is poor, the temperature of the fault location will also rise. Therefore, it is possible to obtain infrared temperature information to detect whether there is an infrared temperature anomaly, thereby determining whether there is an abnormality in the electrical equipment.

[0080] Sub-step S13, obtaining ultrasonic information detected by an ultrasonic detector installed on the electrical equipment.

[0081] Ultrasonic detector is a device that uses the ultrasonic principle to detect. It uses the characteristics of ultrasonic waves when propagating in the medium, such as reflection, refraction, attenuation, etc., to perform non-destructive detection on the object being tested. Ultrasonic detectors are widely used in many fields, providing efficient and accurate detection methods for industry, medicine, scientific research and other fields.

[0082] When wires are broken or components on a circuit board are damaged, arc discharge will occur between some components and circuits, and arc discharge usually produces sharp, intermittent ultrasonic signals. Therefore, it is possible to obtain ultrasonic information to detect whether there is any abnormality in the ultrasonic information, thereby determining whether there is any abnormality in the electrical equipment.

[0083] The embodiment of the present invention can detect the change of the circuit state of the electrical equipment and find the abnormality in time by arranging the current sensor, infrared detector and ultrasonic detector on the electrical equipment. While ensuring the accuracy of the judgment result, measures can be taken immediately after the potential safety hazard is found to prevent the abnormality from further deteriorating, thereby improving the safety of the electrical equipment.

[0084] Step 102, obtaining an abnormal monitoring result generated by the electrical appliance monitoring model according to the device information and the pre-trained electrical appliance monitoring model;

[0085] Among them, the abnormal monitoring results include abnormal location information and abnormal cause information.

[0086] The abnormal cause is inferred by the electrical equipment monitoring model after comprehensive analysis based on the abnormal location information and the equipment information of the electrical equipment.

[0087] As an example, if the abnormal monitoring results obtained show that the location where the abnormality occurred is a component in a washing machine, according to the equipment information of the washing machine, the washing machine has been used for 10 years, and the service life of this component in this model of washing machine is 8 years, it can be judged that the cause of the abnormality may be the aging of this component.

[0088] The electrical appliance monitoring model is integrated in the central control device. It stores various types of information such as the structure information, model information, and service life of the electrical equipment, and can predict the equipment information of the electrical equipment under normal operation. The electrical appliance monitoring model compares the real-time acquired equipment information with the predicted equipment information. When certain conditions are met, it determines that the real-time acquired equipment information is abnormal. Then the abnormal equipment information is analyzed to obtain the location and cause of the abnormality, thereby generating abnormal monitoring results.

[0089] In some embodiments, step 102 specifically includes the following sub-steps:

[0090] Sub-step S21, obtaining a current fluctuation prediction value and a current fluctuation threshold for the electrical equipment through an electrical equipment monitoring model;

[0091] The predicted value refers to the output value calculated by the trained electrical equipment monitoring model based on the input data (parameter information of electrical equipment). The current fluctuation predicted value is the prediction of the actual value of current fluctuation under the normal operation of electrical equipment based on the laws and data patterns learned by the electrical equipment monitoring model based on the parameter information of a large number of electrical equipment.

[0092] The current fluctuation threshold is a standard value set during the detection process of the electrical appliance monitoring model in order to determine whether the current fluctuation is abnormal.

[0093] Sub-step S22, determining a current fluctuation error value between the actual current fluctuation value and the predicted current fluctuation value;

[0094] The current fluctuation information received by the electrical appliance monitoring model includes the actual value of the current fluctuation. The current fluctuation error value is obtained by calculating the difference between the actual value of the current fluctuation and the predicted value of the current fluctuation.

[0095] Sub-step S23, if the absolute value of the current fluctuation error value is greater than the current fluctuation threshold, it is determined that there is abnormal current fluctuation;

[0096] The current fluctuation threshold is preset and can be used as a standard to determine whether the actual current fluctuation value currently received is within the normal range. When the absolute value of the current fluctuation error value is greater than the current fluctuation threshold, it is determined that the actual current fluctuation value is not within the normal range, thereby determining that there is abnormal current fluctuation.

[0097] Sub-step S24, determining the electrical device to which the abnormal current fluctuation belongs and taking it as the first abnormal electrical device;

[0098] The device information received by the electrical appliance monitoring model also includes information about the electrical appliance to which the current fluctuation information belongs, so that the electrical appliance to which the abnormal current fluctuation belongs can be determined.

[0099] Sub-step S25, obtaining the structural information of the first abnormal electrical device;

[0100] During the training process, the electrical appliance monitoring model obtains parameter information of various electrical appliances of the user, including the structural information of the electrical appliances.

[0101] In some embodiments, the structure information includes circuit board distribution information and wire distribution information. The electrical appliance monitoring model can understand the internal structure of the corresponding electrical appliance according to the structure information of the electrical appliance, so as to analyze the location and cause of the abnormality.

[0102] Sub-step S26, determining the abnormal position of the first abnormal electrical device according to the structural information of the first abnormal electrical device, and generating first abnormal position information;

[0103] The electrical appliance monitoring model infers the faulty device in the first abnormal electrical appliance based on the construction information of the first abnormal electrical appliance and the current fluctuation information of the first abnormal electrical appliance, and determines the location of the device, thereby generating abnormal location information, and further infers the cause of the fault, thereby generating abnormal cause information.

[0104] In some embodiments, step 102 specifically includes the following sub-steps:

[0105] Sub-step S31, obtaining an infrared temperature prediction value and an infrared temperature threshold for the electrical equipment through an electrical equipment monitoring model;

[0106] The infrared temperature prediction value is the prediction of the actual temperature value of the electrical equipment under normal operation of the electrical equipment, which is obtained by the electrical monitoring model based on the rules and data patterns learned from the parameter information of a large number of electrical equipment.

[0107] The infrared temperature threshold is a standard value set during the detection process of the electrical appliance monitoring model in order to determine whether the temperature of the electrical appliance is abnormal.

[0108] Sub-step S32, determining an infrared temperature error value between the actual infrared temperature value and the predicted infrared temperature value;

[0109] The infrared temperature information received by the electrical appliance monitoring model includes the actual infrared temperature value. The infrared temperature error value is obtained by calculating the difference between the actual infrared temperature value and the predicted infrared temperature value.

[0110] Sub-step S33, if the absolute value of the infrared temperature error value is greater than the infrared temperature threshold, it is determined that abnormal infrared temperature exists;

[0111] The infrared temperature threshold is pre-set and can be used as a standard to determine whether the actual infrared temperature value currently received is within the normal range. When the absolute value of the infrared temperature error value is greater than the infrared temperature threshold, it is determined that the actual infrared temperature value is not within the normal range, thereby determining that there is an abnormal infrared temperature.

[0112] Sub-step S34, determining the electrical device to which the abnormal infrared temperature belongs and using it as the second abnormal electrical device;

[0113] The device information received by the electrical appliance monitoring model also includes the electrical appliance information to which the infrared temperature information belongs, so that the electrical appliance to which the abnormal infrared temperature belongs can be determined.

[0114] Sub-step S35, obtaining the structural information of the second abnormal electrical device;

[0115] During the training process, the electrical appliance monitoring model obtains parameter information of various electrical appliances of the user, including the structural information of the electrical appliances.

[0116] In some embodiments, the structure information includes circuit board distribution information and wire distribution information. The electrical appliance monitoring model can understand the internal structure of the corresponding electrical appliance according to the structure information of the electrical appliance, so as to analyze the location and cause of the abnormality.

[0117] Sub-step S36, determining the abnormal position of the second abnormal electrical device according to the structural information of the second abnormal electrical device, and generating second abnormal position information.

[0118] The electrical appliance monitoring model infers the faulty device in the second abnormal electrical appliance based on the construction information of the second abnormal electrical appliance and the infrared temperature information of the second abnormal electrical appliance, and determines the location of the device, thereby generating abnormal location information, and further infers the cause of the fault, thereby generating abnormal cause information.

[0119] In some embodiments, step 102 specifically includes the following sub-steps:

[0120] Sub-step S41, obtaining an ultrasonic prediction value and an ultrasonic threshold for the electrical equipment through an electrical equipment monitoring model;

[0121] The ultrasonic prediction value is the prediction of the actual ultrasonic value under the normal operation of the electrical equipment by the electrical monitoring model based on the rules and data patterns learned from the parameter information of a large number of electrical equipment.

[0122] The ultrasonic threshold is a standard value set during the detection process of the electrical monitoring model in order to determine whether the ultrasonic waves generated by the electrical equipment are abnormal.

[0123] Sub-step S42, determining an ultrasonic error value between an actual ultrasonic value and a predicted ultrasonic value;

[0124] The ultrasonic information received by the electrical appliance monitoring model includes an ultrasonic actual value. The ultrasonic error value is obtained by calculating the difference between the ultrasonic actual value and the ultrasonic predicted value.

[0125] Sub-step S43, if the absolute value of the ultrasonic error value is greater than the ultrasonic threshold, it is determined that an abnormal ultrasonic wave exists;

[0126] The ultrasonic threshold is pre-set and can be used as a standard to determine whether the actual value of the currently received ultrasonic wave is within the normal range. When the absolute value of the ultrasonic error value is greater than the ultrasonic threshold, it is determined that the actual value of the ultrasonic wave is not within the normal range, thereby determining that there is an abnormal ultrasonic wave.

[0127] Sub-step S44, determining the electrical device to which the abnormal ultrasonic wave belongs and taking it as the third abnormal electrical device;

[0128] The device information received by the electrical appliance monitoring model also includes information about the electrical appliance to which the ultrasonic wave information belongs, so that the electrical appliance to which the abnormal ultrasonic wave belongs can be determined.

[0129] Sub-step S45, obtaining the structural information of the third abnormal electrical device;

[0130] During the training process, the electrical appliance monitoring model obtains parameter information of various electrical appliances of the user, including the structural information of the electrical appliances.

[0131] In some embodiments, the structure information includes circuit board distribution information and wire distribution information. The electrical appliance monitoring model can understand the internal structure of the corresponding electrical appliance according to the structure information of the electrical appliance, so as to analyze the location and cause of the abnormality.

[0132] Sub-step S46, determining the abnormal position of the third abnormal electrical device according to the structural information of the third abnormal electrical device, and generating third abnormal position information.

[0133] The electrical appliance monitoring model infers the faulty device in the third abnormal electrical appliance based on the structural information of the third abnormal electrical appliance and the ultrasonic information of the third abnormal electrical appliance, and determines the location of the device, thereby generating abnormal location information, and further infers the cause of the fault, thereby generating abnormal cause information.

[0134] In some embodiments, step 102 specifically includes the following sub-steps:

[0135] Sub-step S51, obtaining a usage time threshold for the electrical equipment through an electrical equipment monitoring model;

[0136] The usage time threshold is a standard value set during the detection process of the electrical appliance monitoring model in order to determine whether the usage time of the electrical appliance is too long.

[0137] Sub-step S52, if the usage duration is greater than or equal to the usage duration threshold, determining that there is abnormal usage duration;

[0138] The device information received by the appliance monitoring model includes the usage time of the appliance. When the usage time of the appliance is greater than or equal to the usage time threshold, it is judged that the usage time of the appliance is too long, thereby determining that there is abnormal usage time.

[0139] Sub-step S53, determining the electrical device to which the abnormal usage duration belongs and using it as the fourth abnormal electrical device;

[0140] The device information received by the electrical appliance monitoring model includes the electrical appliance information to which the usage duration belongs, so that the electrical appliance to which the abnormal usage duration belongs can be determined.

[0141] Sub-step S54, generating abnormal electrical equipment information according to the fourth abnormal electrical equipment.

[0142] The electrical appliance monitoring model generates abnormal electrical appliance information according to the fourth abnormal electrical appliance, wherein the abnormal electrical appliance information includes the name of the fourth abnormal electrical appliance, the continuous use time, and the prescribed continuous use time.

[0143] Step 103: Output the abnormal monitoring result to the user.

[0144] As an example, after the appliance monitoring model outputs the abnormal monitoring result, the abnormal monitoring result can be output to the user through a pop-up window on the central control device screen, a mobile phone message push, and an alarm sound. In other embodiments, other methods can be used to output the abnormal monitoring result to the user, and the present invention is not limited to this.

[0145] In some embodiments, the appliance monitoring model is trained by the following method:

[0146] 1) Obtaining a basic monitoring model, where the basic monitoring model is trained based on parameter information of electrical equipment of multiple users;

[0147] Reference Figure 2 , showing a schematic diagram of a scenario for training an electrical appliance monitoring model provided by an embodiment of the present invention;

[0148] As an example, various electrical devices of the user establish data connection with the central control device, and the central control device can receive various data information of the electrical devices. Each user's central control device establishes data connection with the server, and the central control device can send data information of the electrical devices to the server, and can also receive model information sent by the server, thereby completing the training of the electrical monitoring model and using the electrical monitoring model.

[0149] The basic monitoring model is trained by the server after collecting the models, functions, usage scenarios, and parameter information such as current, voltage, power, etc. of various electrical equipment on the network and other users in normal operation and fault conditions.

[0150] 2) Obtain parameter information of the user's electrical equipment;

[0151] The parameter information of the user's electrical equipment is obtained to fine-tune the basic monitoring model so that it can more accurately monitor the abnormalities of the user's electrical equipment. After obtaining the parameter information of the electrical equipment, the parameter information will also be subjected to operations including data cleaning, feature extraction and data normalization.

[0152] 3) According to the parameter information of the user's electrical equipment, the basic monitoring model is trained to obtain the electrical equipment monitoring model.

[0153] As an example, after collecting the parameter information of electrical equipment, the collected parameter information is cleaned, format converted, feature extracted and dimension reduced through data preprocessing technology to obtain a data set, providing a high-quality data foundation for the establishment of subsequent electrical monitoring models. Convolutional neural networks are used to extract spatial features from the data set, and recurrent neural networks are used to capture time correlation and sequence patterns; through multiple iterative learning of abnormal features, abnormal features in the data set are gradually extracted; an electrical monitoring model is established based on the federated learning algorithm to perform abnormal monitoring of electrical equipment.

[0154] Model training can adopt various machine learning algorithms, such as linear regression, decision tree, support vector machine, or deep learning models such as convolutional neural networks (CNN) and recurrent neural networks (RNN), but the present invention is not limited to this.

[0155] In the embodiment of the present invention, the device information of the electrical device is obtained, and the monitoring result is obtained according to the device information and the pre-trained electrical monitoring model. When an abnormality occurs in the electrical device, the abnormal monitoring result can be directly obtained and output to the user, so that the user can handle the abnormality, thereby ensuring the safety of the use of the electrical device.

[0156] The acquired device information includes at least one of the current fluctuation information, infrared temperature information and ultrasonic information of the circuit. The abnormal monitoring results are generated based on this information, which can detect the abnormality in time when it is relatively subtle, thereby reducing the probability of further deterioration of the abnormal situation. At the same time, the abnormal monitoring results include abnormal location information and abnormal cause information. By locating the specific location of the abnormality and providing cause information, it can help users quickly deal with the abnormality, further improving the safety of using electrical equipment.

[0157] It should be noted that, for the sake of simplicity, the method embodiments are described as a series of action combinations, but those skilled in the art should be aware that the embodiments of the present invention are not limited by the order of the actions described, because according to the embodiments of the present invention, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily required by the embodiments of the present invention.

[0158] Figure 3 is a structural block diagram of a monitoring device for electrical equipment provided by an embodiment of the present invention, such as Figure 3 As shown, the device may specifically include the following modules:

[0159] The circuit state acquisition module 301 is used to acquire device information of the user's electrical device; the device information includes circuit state information, and the circuit state information includes at least one of current fluctuation information, infrared temperature information and ultrasonic information of the circuit;

[0160] By establishing a data connection between the electrical device and the central control device, the electrical device can send device information to the central control device in real time. The central control device can detect whether the electrical device is abnormal based on the device information by obtaining the device information of the electrical device.

[0161] In some embodiments, a time interval may be preset to obtain device information of an electrical device at a certain time interval. In actual application scenarios, a specific value of the time interval may be set according to actual needs, and the present invention does not limit this.

[0162] The electrical equipment may be a refrigerator, a washing machine, an air conditioner, a microwave oven, an electric rice cooker, a television, a socket switch, and other equipment that utilizes electrical energy to work. The embodiment of the present invention does not impose any restriction on the specific type of the electrical equipment.

[0163] The central control device is an electronic device used to centrally control various electrical equipment. It can communicate data with electrical equipment through communication protocols, thereby monitoring the operating status of electrical equipment in real time.

[0164] The central control device may be an electronic device such as a central control screen, a smart phone, a tablet, a laptop computer, etc. The embodiment of the present invention does not impose any limitation on the specific type of the central control device.

[0165] In some embodiments, module 301 includes the following submodules:

[0166] A current fluctuation acquisition submodule is used to acquire current fluctuation information detected by a current sensor provided on the electrical device;

[0167] A current sensor is a current detection device that can sense the information of the measured current and convert the sensed information into a form that meets specific standard requirements according to specific rules for output to meet the needs of transmission, processing, storage, display and control.

[0168] When wires are broken or components on a circuit board are damaged, the current will fluctuate. Therefore, it is possible to detect whether there is abnormal current fluctuation by obtaining current fluctuation information, thereby determining whether there is abnormality in the electrical equipment.

[0169] The infrared temperature acquisition submodule is used to acquire infrared temperature information detected by an infrared detector installed on the electrical equipment;

[0170] Infrared detector is a device that uses the principle of infrared radiation for detection. It can gather the infrared radiation energy of the target object in its field of view through the optical system, and convert the infrared radiation energy into corresponding electrical signals on the photoelectric detector. The electrical signals are then converted into the temperature value or other related parameters of the measured target after conversion.

[0171] When the circuit is aged, the load is too large or the contact is poor, the temperature of the fault location will also rise. Therefore, it is possible to obtain infrared temperature information to detect whether there is an infrared temperature anomaly, thereby determining whether there is an abnormality in the electrical equipment.

[0172] The ultrasonic acquisition submodule is used to acquire ultrasonic information detected by an ultrasonic detector installed on the electrical equipment.

[0173] Ultrasonic detector is a device that uses the ultrasonic principle to detect. It uses the characteristics of ultrasonic waves when propagating in the medium, such as reflection, refraction, attenuation, etc., to perform non-destructive detection on the object being tested. Ultrasonic detectors are widely used in many fields, providing efficient and accurate detection methods for industry, medicine, scientific research and other fields.

[0174] When wires are broken or components on a circuit board are damaged, arc discharge will occur between some components and circuits, and arc discharge usually produces sharp, intermittent ultrasonic signals. Therefore, it is possible to obtain ultrasonic information to detect whether there is any abnormality in the ultrasonic information, thereby determining whether there is any abnormality in the electrical equipment.

[0175] The embodiment of the present invention can detect the change of the circuit state of the electrical equipment and find the abnormality in time by arranging the current sensor, infrared detector and ultrasonic detector on the electrical equipment. While ensuring the accuracy of the judgment result, measures can be taken immediately after the potential safety hazard is found to prevent the abnormality from further deteriorating, thereby improving the safety of the electrical equipment.

[0176] The monitoring result acquisition module 302 is used to obtain the abnormal monitoring result generated by the electrical appliance monitoring model according to the device information and the pre-trained electrical appliance monitoring model, and the abnormal monitoring result includes abnormal location information and abnormal cause information;

[0177] The electrical appliance monitoring model is integrated in the central control device. It stores various types of information such as the structure information, model information, and service life of the electrical equipment, and can predict the equipment information of the electrical equipment under normal operation. The electrical appliance monitoring model compares the real-time acquired equipment information with the predicted equipment information. When certain conditions are met, it determines that the real-time acquired equipment information is abnormal. Then the abnormal equipment information is analyzed to obtain the location and cause of the abnormality, thereby generating abnormal monitoring results.

[0178] In some embodiments, module 302 includes the following submodules:

[0179] A first acquisition submodule is used to acquire a current fluctuation prediction value and a current fluctuation threshold for the electrical equipment through an electrical equipment monitoring model;

[0180] The predicted value refers to the output value calculated by the trained electrical equipment monitoring model based on the input data (parameter information of electrical equipment). The current fluctuation predicted value is the prediction of the actual value of current fluctuation under the normal operation of electrical equipment based on the laws and data patterns learned by the electrical equipment monitoring model based on the parameter information of a large number of electrical equipment.

[0181] The current fluctuation threshold is a standard value set during the detection process of the electrical appliance monitoring model in order to determine whether the current fluctuation is abnormal.

[0182] A first error value determination submodule, used to determine a current fluctuation error value between an actual current fluctuation value and a predicted current fluctuation value;

[0183] The current fluctuation information received by the electrical appliance monitoring model includes the actual value of the current fluctuation. The current fluctuation error value is obtained by calculating the difference between the actual value of the current fluctuation and the predicted value of the current fluctuation.

[0184] A first abnormality determination submodule, configured to determine that an abnormal current fluctuation exists if the absolute value of the current fluctuation error value is greater than a current fluctuation threshold value;

[0185] The current fluctuation threshold is preset and can be used as a standard to determine whether the actual current fluctuation value currently received is within the normal range. When the absolute value of the current fluctuation error value is greater than the current fluctuation threshold, it is determined that the actual current fluctuation value is not within the normal range, thereby determining that there is abnormal current fluctuation.

[0186] A first abnormal device determination submodule, used to determine the electrical device to which the abnormal current fluctuation belongs, and use it as the first abnormal electrical device;

[0187] The device information received by the electrical appliance monitoring model also includes information about the electrical appliance to which the current fluctuation information belongs, so that the electrical appliance to which the abnormal current fluctuation belongs can be determined.

[0188] A first structure information acquisition submodule, used to acquire structure information of a first abnormal electrical device;

[0189] During the training process, the electrical appliance monitoring model obtains parameter information of various electrical appliances of the user, including the structural information of the electrical appliances.

[0190] In some embodiments, the structure information includes circuit board distribution information and wire distribution information. The electrical appliance monitoring model can understand the internal structure of the corresponding electrical appliance according to the structure information of the electrical appliance, so as to analyze the location and cause of the abnormality.

[0191] The first abnormal position acquisition submodule is used to determine the abnormal position of the first abnormal electrical device according to the structural information of the first abnormal electrical device, and generate first abnormal position information.

[0192] The electrical appliance monitoring model infers the faulty device in the first abnormal electrical appliance based on the construction information of the first abnormal electrical appliance and the current fluctuation information of the first abnormal electrical appliance, and determines the location of the device, thereby generating abnormal location information, and further infers the cause of the fault, thereby generating abnormal cause information.

[0193] In some embodiments, module 302 includes the following submodules:

[0194] The second acquisition submodule is used to obtain the infrared temperature prediction value and the infrared temperature threshold value for the electrical equipment through the electrical equipment monitoring model;

[0195] The infrared temperature prediction value is the prediction of the actual temperature value of the electrical equipment under normal operation of the electrical equipment, which is obtained by the electrical monitoring model based on the rules and data patterns learned from the parameter information of a large number of electrical equipment.

[0196] The infrared temperature threshold is a standard value set during the detection process of the electrical appliance monitoring model in order to determine whether the temperature of the electrical appliance is abnormal.

[0197] A second error value determination submodule is used to determine an infrared temperature error value between an actual infrared temperature value and a predicted infrared temperature value;

[0198] The infrared temperature information received by the electrical appliance monitoring model includes the actual infrared temperature value. The infrared temperature error value is obtained by calculating the difference between the actual infrared temperature value and the predicted infrared temperature value.

[0199] A second abnormality determination submodule, configured to determine that an abnormal infrared temperature exists if the absolute value of the infrared temperature error value is greater than an infrared temperature threshold value;

[0200] The infrared temperature threshold is pre-set and can be used as a standard to determine whether the actual infrared temperature value currently received is within the normal range. When the absolute value of the infrared temperature error value is greater than the infrared temperature threshold, it is determined that the actual infrared temperature value is not within the normal range, thereby determining that there is an abnormal infrared temperature.

[0201] A second abnormal device determination submodule is used to determine the electrical device to which the abnormal infrared temperature belongs and use it as the second abnormal electrical device;

[0202] The device information received by the electrical appliance monitoring model also includes the electrical appliance information to which the infrared temperature information belongs, so that the electrical appliance to which the abnormal infrared temperature belongs can be determined.

[0203] A second structure information acquisition submodule, used to acquire structure information of a second abnormal electrical device;

[0204] During the training process, the electrical appliance monitoring model obtains parameter information of various electrical appliances of the user, including the structural information of the electrical appliances.

[0205] The second abnormal position acquisition submodule is used to determine the abnormal position of the second abnormal electrical device according to the structural information of the second abnormal electrical device, and generate second abnormal position information.

[0206] The electrical appliance monitoring model infers the faulty device in the second abnormal electrical appliance based on the construction information of the second abnormal electrical appliance and the infrared temperature information of the second abnormal electrical appliance, and determines the location of the device, thereby generating abnormal location information, and further infers the cause of the fault, thereby generating abnormal cause information.

[0207] In some embodiments, module 302 includes the following submodules:

[0208] A third acquisition submodule is used to acquire an ultrasonic prediction value and an ultrasonic threshold value for the electrical equipment through an electrical equipment monitoring model;

[0209] The ultrasonic prediction value is the prediction of the actual ultrasonic value under the normal operation of the electrical equipment by the electrical monitoring model based on the rules and data patterns learned from the parameter information of a large number of electrical equipment.

[0210] The ultrasonic threshold is a standard value set during the detection process of the electrical monitoring model in order to determine whether the ultrasonic waves generated by the electrical equipment are abnormal.

[0211] A third error value determination submodule, used to determine an ultrasonic error value between an actual ultrasonic value and a predicted ultrasonic value;

[0212] The ultrasonic information received by the electrical appliance monitoring model includes an ultrasonic actual value. The ultrasonic error value is obtained by calculating the difference between the ultrasonic actual value and the ultrasonic predicted value.

[0213] A third abnormality determination submodule, configured to determine that an abnormal ultrasonic wave exists if the absolute value of the ultrasonic wave error value is greater than the ultrasonic wave threshold value;

[0214] The ultrasonic threshold is pre-set and can be used as a standard to determine whether the actual value of the currently received ultrasonic wave is within the normal range. When the absolute value of the ultrasonic error value is greater than the ultrasonic threshold, it is determined that the actual value of the ultrasonic wave is not within the normal range, thereby determining that there is an abnormal ultrasonic wave.

[0215] A third abnormal device determination submodule, used to determine the electrical device to which the abnormal ultrasonic wave belongs, and use it as the third abnormal electrical device;

[0216] The device information received by the electrical appliance monitoring model also includes information about the electrical appliance to which the ultrasonic wave information belongs, so that the electrical appliance to which the abnormal ultrasonic wave belongs can be determined.

[0217] A third structure information acquisition submodule, used to acquire structure information of a third abnormal electrical device;

[0218] During the training process, the electrical appliance monitoring model obtains parameter information of various electrical appliances of the user, including the structural information of the electrical appliances.

[0219] The third abnormal position acquisition submodule is used to determine the abnormal position of the third abnormal electrical device according to the structural information of the third abnormal electrical device, and generate third abnormal position information.

[0220] The electrical appliance monitoring model infers the faulty device in the third abnormal electrical appliance based on the structural information of the third abnormal electrical appliance and the ultrasonic information of the third abnormal electrical appliance, and determines the location of the device, thereby generating abnormal location information, and further infers the cause of the fault, thereby generating abnormal cause information.

[0221] In some embodiments, module 302 includes the following submodules:

[0222] A fourth acquisition submodule is used to acquire a usage time threshold for the electrical equipment through an electrical equipment monitoring model;

[0223] The usage time threshold is a standard value set during the detection process of the electrical appliance monitoring model in order to determine whether the usage time of the electrical appliance is too long.

[0224] A fourth abnormality determination submodule, configured to determine that there is abnormal usage time if the usage time is greater than or equal to the usage time threshold;

[0225] The device information received by the appliance monitoring model includes the usage time of the appliance. When the usage time of the appliance is greater than or equal to the usage time threshold, it is judged that the usage time of the appliance is too long, thereby determining that there is abnormal usage time.

[0226] A fourth abnormal device determination submodule, used to determine the electrical device to which the abnormal usage duration belongs, and use it as the fourth abnormal electrical device;

[0227] The device information received by the electrical appliance monitoring model includes the electrical appliance information to which the usage duration belongs, so that the electrical appliance to which the abnormal usage duration belongs can be determined.

[0228] The abnormal device information acquisition submodule is used to generate abnormal electrical device information according to the fourth abnormal electrical device.

[0229] The electrical appliance monitoring model generates abnormal electrical appliance information according to the fourth abnormal electrical appliance, wherein the abnormal electrical appliance information includes the name of the fourth abnormal electrical appliance, the continuous use time, and the prescribed continuous use time.

[0230] The monitoring result output module 303 is used to output abnormal monitoring results to the user.

[0231] As an example, after the appliance monitoring model outputs the abnormal monitoring result, the abnormal monitoring result can be output to the user through a pop-up window on the central control device screen, a mobile phone message push, and an alarm sound. In other embodiments, other methods can be used to output the abnormal monitoring result to the user, and the present invention is not limited to this.

[0232] In the embodiment of the present invention, the device information of the electrical device is obtained, and the monitoring result is obtained according to the device information and the pre-trained electrical monitoring model. When an abnormality occurs in the electrical device, the abnormal monitoring result can be directly obtained and output to the user, so that the user can handle the abnormality, thereby ensuring the safe use of the electrical device. The acquired device information includes at least one of the current fluctuation information, infrared temperature information and ultrasonic information of the circuit. The abnormal monitoring result is generated based on this information, and the abnormality can be discovered in time when it is relatively subtle, thereby reducing the probability of further deterioration of the abnormal situation. At the same time, the abnormal monitoring result includes abnormal location information and abnormal cause information. By locating the specific location of the abnormality and providing cause information, it can help the user to quickly handle the abnormality, further improving the safety of using electrical equipment.

[0233] As for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0234] An embodiment of the present invention also provides a central control device, including: a processor, a memory, and a computer program stored in the memory and capable of running on the processor. When the computer program is executed by the processor, the various processes of the above-mentioned electrical equipment monitoring method embodiment are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0235] An embodiment of the present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the various processes of the above-mentioned electrical equipment monitoring method embodiment are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0236] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0237] It will be appreciated by those skilled in the art that the embodiments of the present invention may be provided as methods, devices, or computer program products. Therefore, the embodiments of the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the embodiments of the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0238] The embodiments of the present invention are described with reference to the flowcharts and / or block diagrams of the methods, terminal devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing terminal device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing terminal device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0239] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing terminal device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0240] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal device so that a series of operating steps are executed on the computer or other programmable terminal device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable terminal device. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0241] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the embodiments of the present invention.

[0242] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or terminal device including the elements.

[0243] The above is a detailed introduction to the monitoring method, device, central control device and computer-readable storage medium of an electrical equipment provided by the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for general technical personnel in this field, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A method for monitoring electrical equipment, characterized in that: The method comprises: Acquire device information of the electrical device of the user; the device information includes circuit state information, and the circuit state information includes at least one of current fluctuation information, infrared temperature information and ultrasonic information of the circuit; According to the device information and the pre-trained electrical appliance monitoring model, obtaining an abnormal monitoring result generated by the electrical appliance monitoring model, wherein the abnormal monitoring result includes abnormal location information and abnormal cause information; The abnormal monitoring result is output to the user.

2. The method for monitoring electrical equipment according to claim 1, characterized in that: The electrical appliance monitoring model is trained by the following method: Acquire a basic monitoring model, where the basic monitoring model is trained based on parameter information of the electrical equipment of multiple users; Obtain parameter information of the electrical device of the user; The basic monitoring model is trained according to the parameter information of the electrical equipment of the user to obtain the electrical equipment monitoring model.

3. The method for monitoring electrical equipment according to claim 1, characterized in that: The current fluctuation information includes the actual value of the current fluctuation; The step of obtaining the abnormal monitoring result generated by the electrical appliance monitoring model according to the device information and the pre-trained electrical appliance monitoring model includes: Acquire a current fluctuation prediction value and a current fluctuation threshold for the electrical equipment through the electrical equipment monitoring model; Determining a current fluctuation error value between the current fluctuation actual value and the current fluctuation predicted value; If the absolute value of the current fluctuation error value is greater than the current fluctuation threshold, it is determined that abnormal current fluctuation exists; Determine the electrical device to which the abnormal current fluctuation belongs and use it as the first abnormal electrical device; Acquiring structural information of the first abnormal electrical device; According to the structural information of the first abnormal electrical device, the abnormal position of the first abnormal electrical device is determined, and first abnormal position information is generated.

4. The method for monitoring electrical equipment according to claim 1, characterized in that: The infrared temperature information includes an actual value of the infrared temperature; The step of obtaining the abnormal monitoring result generated by the electrical appliance monitoring model according to the device information and the pre-trained electrical appliance monitoring model includes: Obtaining infrared temperature prediction values ​​and infrared temperature thresholds for electrical equipment through the electrical equipment monitoring model; Determining an infrared temperature error value between the infrared temperature actual value and the infrared temperature predicted value; If the absolute value of the infrared temperature error value is greater than the infrared temperature threshold value, it is determined that an abnormal infrared temperature exists; Determine the electrical device to which the abnormal infrared temperature belongs and use it as the second abnormal electrical device; Acquiring structural information of the second abnormal electrical device; According to the structural information of the second abnormal electrical device, the abnormal position of the second abnormal electrical device is determined, and second abnormal position information is generated.

5. The method for monitoring electrical equipment according to claim 1, characterized in that: The ultrasonic information includes an actual ultrasonic value; The step of obtaining the abnormal monitoring result generated by the electrical appliance monitoring model according to the device information and the pre-trained electrical appliance monitoring model includes: Acquire the ultrasonic prediction value and ultrasonic threshold value for the electrical equipment through the electrical equipment monitoring model; determining an ultrasonic error value between the ultrasonic actual value and the ultrasonic predicted value; If the absolute value of the ultrasonic error value is greater than the ultrasonic threshold value, it is determined that an abnormal ultrasonic wave exists; Determine the electrical device to which the abnormal ultrasonic wave belongs and use it as the third abnormal electrical device; Acquiring structural information of the third abnormal electrical device; According to the structural information of the third abnormal electrical device, the abnormal position of the third abnormal electrical device is determined, and third abnormal position information is generated.

6. The method for monitoring electrical equipment according to claim 1, characterized in that: The obtaining of device information of the electrical device of the user includes: Acquiring the current fluctuation information detected by a current sensor disposed on the electrical device; Acquiring the infrared temperature information detected by an infrared detector arranged on the electrical device; The ultrasonic information detected by an ultrasonic detector arranged on the electrical device is obtained.

7. The method for monitoring electrical equipment according to claim 1, characterized in that: The device information includes the usage time of the electrical device; The step of obtaining the abnormal monitoring result generated by the electrical appliance monitoring model according to the device information and the pre-trained electrical appliance monitoring model includes: Acquire a usage time threshold for the electrical device through the electrical device monitoring model; If the usage duration is greater than or equal to the usage duration threshold, it is determined that there is abnormal usage duration; Determine the electrical device to which the abnormal usage duration belongs, and use it as the fourth abnormal electrical device; The abnormal electrical device information is generated according to the fourth abnormal electrical device.

8. A monitoring device for electrical equipment, characterized in that: The device comprises: A device information acquisition module, used to acquire device information of the electrical device of the user; the device information includes circuit state information, and the circuit state information includes at least one of current fluctuation information, infrared temperature information and ultrasonic information of the circuit; A monitoring result acquisition module, used to obtain an abnormal monitoring result generated by the electrical appliance monitoring model according to the device information and the pre-trained electrical appliance monitoring model, wherein the abnormal monitoring result includes abnormal location information and abnormal cause information; The monitoring result output module is used to output the abnormal monitoring result to the user.

9. A central control device, characterized in that: include: A processor, a memory, and a computer program stored in the memory and capable of running on the processor, wherein when the computer program is executed by the processor, the steps of the method for monitoring an electrical device as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for monitoring an electrical device according to any one of claims 1 to 7 are implemented.

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