Method, device and equipment for safety monitoring of household circuits

Abstract

The present application discloses a method, device and equipment for safety monitoring of household circuits, which relates to the field of safety monitoring technology and can detect data anomalies in a timely manner at the initial stage of fire development, thereby improving the timeliness of safety monitoring of household circuits. The method includes: obtaining at least one type of indicator data output by a household meter, the household meter being a sub-electricity meter connected to a household circuit in a user to be detected, and when it is detected that the first type of indicator data meets the first abnormal condition within a preset time range, obtaining the second type of indicator data within the preset time range, and judging whether the second type of indicator data within the preset time range meets the second abnormal condition. If so, generating safety warning information based on the first type of indicator data and the second type of indicator data, so as to check the household circuit in the user to be detected through the safety warning information.

Description

Technical Field

[0001] The present application relates to the field of security monitoring technology, and in particular to a method, device and equipment for security monitoring of household circuits. Background Art

[0002] Aging household circuits and non-standard construction techniques can easily lead to fire and discharge due to poor contact. Unqualified heating equipment that always forgets to turn off the power supply can also easily cause household fires, seriously threatening people's lives and property safety. For fires, the earlier they are discovered and the earlier measures are taken, the less loss there will be.

[0003] At present, the safety monitoring of household circuits is mainly achieved by installing smoke and temperature sensors. When the fire develops to a certain stage and produces thick smoke, the smoke and temperature sensor probes will issue an alarm after detecting the temperature and thick smoke. Ultraviolet flame fire alarms and infrared fire detectors can also be used. However, these methods of safety monitoring of household circuits through detectors can only issue an alarm after the fire develops to a certain stage, and it is easy to miss the best time to extinguish the fire, resulting in low timeliness of safety monitoring of household circuits. Summary of the invention

[0004] In view of this, the present application provides a method, device and equipment for safety monitoring of household circuits, the main purpose of which is to solve the problem that the existing technology of safety monitoring of household circuits through detectors is easy to miss the best time to extinguish the fire, resulting in low timeliness of fire alarms.

[0005] According to a first aspect of the present application, a method for security monitoring of a household circuit is provided, comprising:

[0006] Obtain at least one type of indicator data output by a household electricity meter;

[0007] When it is detected that the first type of indicator data meets the first abnormal condition within the preset time range, the second type of indicator data within the preset time range is obtained, wherein the first abnormal condition is that the first type of indicator data has a sudden change in value more than a set number of times;

[0008] Determine whether the second type of indicator data within the preset time range meets a second abnormal condition, where the second abnormal condition is that the second type of indicator data and the first type of indicator data have a sudden change in value within the same data range;

[0009] If so, safety warning information is generated according to the first type of indicator data and the second type of indicator data, so as to check the household circuits of the user to be detected through the safety warning information.

[0010] Furthermore, after obtaining at least one type of indicator data output by the household electricity meter, the method further includes:

[0011] Obtaining different types of standard indicator data output by the household electricity meter of the user to be tested during normal electricity consumption;

[0012] Determine electrical parameters formed by a current power usage process and a normal power usage process of the user to be detected according to the standard indicator data and the at least one type of indicator data;

[0013] The first type of indicator data is detected according to the electrical parameter to determine whether it meets a first abnormal condition within a preset time range.

[0014] Furthermore, the step of determining electrical parameters formed by the current power usage process and the normal power usage process of the user to be detected according to the standard indicator data and the at least one type of indicator data includes:

[0015] Respectively mapping the standard indicator data and the indicator data of the corresponding type to a plane space, and determining the position coordinates of the standard indicator parameters and the indicator data of the corresponding type in the plane space;

[0016] According to the position coordinates of the standard indicator parameters and the corresponding type of indicator data, a weighted Euclidean distance algorithm is used to calculate the electrical parameters formed by the current power consumption process and the normal power consumption process of the user to be detected.

[0017] Further, the detecting, according to the electrical parameter, whether the first type of indicator data meets the first abnormal condition within a preset time range includes:

[0018] Acquire, according to the electrical parameters, a value change of a first type of indicator data output by the electric meter within a preset time range;

[0019] The situation where the numerical value change is greater than the set amplitude is regarded as a numerical mutation of the indicator data. According to the statistical number of numerical mutations occurring in the indicator data of the first type within the preset time range, it is detected whether the indicator data of the first type meets the first abnormal condition within the preset time range.

[0020] Furthermore, the determining whether the second type of indicator data within the preset time range meets the second abnormal condition includes:

[0021] Comparing the second type of indicator data within the preset time range with the first type of indicator data within the same data range to determine data changes of the indicator data within the same data range;

[0022] According to the data change of the indicator data within the same data range, it is determined whether there is a sudden value change in the second type of indicator data and the first type of indicator data within the same data range within a preset time range.

[0023] Furthermore, before generating safety warning information according to the first type of indicator data and the second type of indicator data to check the household circuits of the detected user through the safety warning information, the method further includes:

[0024] Detect whether there is a line fault in the total electric energy meter connected to the household circuit of the user to be detected;

[0025] If yes, then obtain the location information of the line fault on the main line of the household circuit, otherwise, obtain the location information of the line fault on the branch line of the household circuit;

[0026] Predicting the fault range of the household circuit according to the location information of the line fault;

[0027] Correspondingly, after generating the security warning information according to the first type of indicator data and the second type of indicator data, the method further includes:

[0028] The predicted fault range of the household circuit is added to the safety warning information, so as to check the household circuit of the user to be detected by using the predicted fault range in the safety warning information.

[0029] Furthermore, before generating safety warning information according to the first type of indicator data and the second type of indicator data to check the household circuits of the detected user through the safety warning information, the method further includes:

[0030] Continuously monitoring the second type of indicator data to obtain characteristic changes characterized by the indicator data on different fault types based on the first type of indicator data and the second type of indicator data, wherein the characteristic change rule is a manifestation rule of the indicator data on the waveform change;

[0031] Predicting the fault type of the household circuit according to the characteristic changes represented by the indicator data on different fault types;

[0032] Correspondingly, after generating the security warning information according to the first type of indicator data and the second type of indicator data, the method further includes:

[0033] The predicted fault type of the household circuit is added to the safety warning information, so as to check the household circuit of the user to be detected according to the predicted fault type in the safety warning information.

[0034] According to a second aspect of the present application, there is provided a safety monitoring device for a household circuit, comprising:

[0035] A first acquisition unit, used to acquire at least one type of indicator data output by a household electricity meter;

[0036] A second acquisition unit is used to acquire the second type of indicator data within a preset time range when it is detected that the first type of indicator data meets the first abnormal condition within the preset time range, wherein the first abnormal condition is that the first type of indicator data has a sudden change in value more than a set number of times;

[0037] A judging unit, configured to judge whether the second type of indicator data within the preset time range meets a second abnormal condition, wherein the second abnormal condition is that the second type of indicator data and the first type of indicator data have a sudden change in value within the same data range;

[0038] A generating unit is used to generate safety warning information according to the first type of indicator data and the second type of indicator data, so as to check the household circuits of the user to be detected through the safety warning information.

[0039] Furthermore, the device also includes:

[0040] A third acquisition unit is used to acquire different types of standard indicator data output by the household electricity meter of the user to be detected during normal electricity use after acquiring at least one type of indicator data output by the household electricity meter;

[0041] a determination unit, configured to determine electrical parameters formed by a current power consumption process and a normal power consumption process of the user to be detected according to the standard indicator data and the at least one type of indicator data;

[0042] The first detection unit is used to detect whether the first type of indicator data meets the first abnormal condition within a preset time range according to the electrical parameter.

[0043] Furthermore, the determining unit is specifically configured to:

[0044] Respectively mapping the standard indicator data and the indicator data of the corresponding type to a plane space, and determining the position coordinates of the standard indicator parameters and the indicator data of the corresponding type in the plane space;

[0045] According to the position coordinates of the standard indicator parameters and the corresponding type of indicator data, a weighted Euclidean distance algorithm is used to calculate the electrical parameters formed by the current power consumption process and the normal power consumption process of the user to be detected.

[0046] Furthermore, the first detection unit is specifically used to:

[0047] Acquire, according to the electrical parameters, a value change of a first type of indicator data output by the electric meter within a preset time range;

[0048] The situation where the numerical value change is greater than the set amplitude is regarded as a numerical mutation of the indicator data. According to the statistical number of numerical mutations occurring in the indicator data of the first type within the preset time range, it is detected whether the indicator data of the first type meets the first abnormal condition within the preset time range.

[0049] Furthermore, the judging unit is specifically configured to:

[0050] Comparing the second type of indicator data within the preset time range with the first type of indicator data within the same data range to determine data changes of the indicator data within the same data range;

[0051] According to the data change of the indicator data within the same data range, it is determined whether there is a sudden value change in the second type of indicator data and the first type of indicator data within the same data range within a preset time range.

[0052] Furthermore, the device also includes:

[0053] A second detection unit is used to detect whether there is a line fault in the total electric energy meter connected to the household circuit of the user to be detected before generating the safety warning information according to the first type of indicator data and the second type of indicator data to check the household circuit of the user to be detected through the safety warning information;

[0054] A fourth acquisition unit, configured to acquire the location information of the line fault on the main line of the household circuit if yes, and acquire the location information of the line fault on the branch line of the household circuit if no;

[0055] A first prediction unit, configured to predict a fault range of the household circuit according to the location information of the line fault;

[0056] Correspondingly, the generation unit is specifically used to generate safety warning information based on the first type of indicator data and the second type of indicator data, and then add the predicted fault range of the household circuit to the safety warning information, so as to check the household circuit of the user to be detected through the predicted fault range in the safety warning information.

[0057] Furthermore, the device also includes:

[0058] A monitoring unit, configured to continuously monitor the second type of indicator data before generating the safety warning information according to the indicator data of the first type and the indicator data of the second type to troubleshoot the household circuits of the detected user through the safety warning information, so as to obtain characteristic changes characterized by the indicator data on different fault types according to the indicator data of the first type and the indicator data of the second type, wherein the characteristic change rule is the expression rule of the indicator data on the waveform change;

[0059] A second prejudgment unit, configured to prejudge the fault type of the safety monitoring of the household circuit according to the characteristic changes characterized by the indicator data on different fault types;

[0060] Correspondingly, the generating unit is further specifically used to generate safety warning information based on the indicator data of the first type and the indicator data of the second type, and then add the predicted fault type of the household circuit to the safety warning information, so as to troubleshoot the household circuit of the user to be detected according to the predicted fault type in the safety warning information.

[0061] According to a third aspect of the present application, a computer device is provided, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method described in the first aspect when executing the computer program.

[0062] According to a fourth aspect of the present application, a readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method described in the first aspect are implemented.

[0063] By means of the above technical scheme, the present application provides a method, device and equipment for safety monitoring of household circuits. Compared with the current existing technology of safety monitoring of household circuits through detectors, the present application obtains at least one type of index data output by a household meter, and the household meter is a sub-electric energy meter connected to the household circuit of the user to be detected. When it is detected that the first type of index data meets the first abnormal condition within the preset time range, the second type of index data within the preset time range is obtained, and the first abnormal condition is that the first type of index data has a numerical mutation of more than a set number of times, and it is judged whether the second type of index data within the preset time range meets the second abnormal condition, and the second abnormal condition is that the second type of index data and the first type of index data have a numerical mutation within the same data range. If so, a safety warning information is generated according to the first type of index data and the second type of index data, so as to check the household circuit of the user to be detected through the safety warning information. The whole process detects the index data output by the household meter to analyze whether the index data within the preset time range meets the abnormal condition, so that the data abnormality can be detected in time at the initial stage of the fire development, so as to avoid serious consequences caused by the fire development to a certain stage, and improve the timeliness of the safety monitoring of household circuits.

[0064] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0066] Figure 1 is a flow chart of a method for safety monitoring of household circuits in one embodiment of the present application;

[0067] Figure 2 yes Figure 1 A schematic diagram of a specific implementation process after step 101;

[0068] Figure 3a is a waveform diagram of voltage changes during normal power use in one embodiment of the present application;

[0069] Figure 3b is a waveform diagram of current changes during normal power use in one embodiment of the present application;

[0070] Figure 4a is a waveform diagram of voltage changes when a fault occurs in one embodiment of the present application;

[0071] Figure 4b is a waveform diagram of current changes when a fault occurs in one embodiment of the present application;

[0072] Figure 5 yes Figure 1 A schematic flow chart of a specific implementation of step 103;

[0073] Figure 6 yes Figure 1 A schematic diagram of a specific implementation process before step 104;

[0074] Figure 7 yes Figure 1 Another specific implementation flow chart before step 104;

[0075] Figure 8 is a structural block diagram of a safety monitoring process of a household circuit in an embodiment of the present application;

[0076] Fig. 9 is a schematic structural diagram of a safety monitoring device for household circuits in one embodiment of the present application;

[0077] Fig.10 It is a schematic diagram of the device structure of a computer device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0078] Now the content of the present invention will be discussed with reference to several exemplary embodiments. It should be understood that these embodiments are discussed only to enable those skilled in the art to better understand and thus implement the content of the present invention, rather than implying any limitation on the scope of the present invention.

[0079] As used herein, the term "including" and variations thereof are to be interpreted as open-ended terms meaning "including but not limited to." The term "based on" is to be interpreted as "based, at least in part, on." The terms "one embodiment" and "an embodiment" are to be interpreted as "at least one embodiment." The term "another embodiment" is to be interpreted as "at least one other embodiment."

[0080] In the related art, the safety monitoring of household circuits is mainly achieved by installing smoke and temperature sensors. When the fire develops to a certain stage and produces thick smoke, the smoke and temperature sensor probes will issue an alarm after detecting the temperature and thick smoke. Ultraviolet flame fire alarms, infrared fire detectors, etc. can also be used. However, these methods of safety monitoring of household circuits through detectors can only issue an alarm after the fire develops to a certain stage, which can easily miss the best time to extinguish the fire, resulting in low timeliness of fire alarms.

[0081] In order to solve this problem, this embodiment provides a method for monitoring the safety of household circuits. Figure 1 As shown, the following steps are included:

[0082] 101. Obtain at least one type of indicator data output by a household electricity meter.

[0083] Generally speaking, considering the operation of electrical appliances in users' homes, smart meters on power consumption terminals are widely used in the measurement, monitoring and transmission of various power consumption information. The power consumption information system in the power system is centrally managed to realize intelligent remote monitoring of the power consumption process. The household meter here is a sub-meter connected to the household circuit of the user to be tested. It can be used as the main tool to measure the power consumption of consumers in the power industry. All household electricity users need to install a power meter.

[0084] Specifically, when the user to be tested is using electricity, the household electricity meter can monitor the energy data output during the electricity use process according to the specification requirements. The energy data here includes different types of indicator data, such as current, voltage, voltage loss, power, etc. In actual application scenarios, the energy meter can freeze energy data every 15 minutes or 1 hour, collect 1200 pulse signals per second, and read different types of indicator data based on the energy meter data.

[0085] It is understandable that when an electrical fire occurs, abnormal fluctuations in current, voltage, etc. usually occur. Moreover, household electricity meters can collect motion data related to the electricity consumption process at all times. This motion data serves as the basis for identifying fires. On the basis of accurate identification of fires, relevant investigators can combine fire investigations, on-site tracking and technical insights with the motion data collected by household electricity meters to conduct safety monitoring of household circuits before electrical fires occur. When an electrical fire occurs, the fire warning can be triggered as soon as possible through changes in indicator data. At the same time, the fault range and fault type of the electrical fire can be analyzed based on the indicator data provided by the fire warning.

[0086] The execution subject of this embodiment can be a safety monitoring device or equipment for household circuits, which can be configured in the safety monitoring module for household circuits in the power system. Considering that various electrical devices used in daily life and production have different operating parameters, for example, ordinary refrigerators, laptops, boilers and motors as ordinary electrical products have different powers and currents, and the changes in index data generated by these devices during use are different. For example, short circuits, surges, bad contacts, leakages and other power line faults may all cause changes in index data, and these changed index data will be stored in the electric meter and sent to the safety monitoring module for household circuits, so that the power system can monitor different types of index data of the user to be detected during the power usage process.

[0087] 102. When it is detected that the indicator data of the first type meets the first abnormal condition within the preset time range, obtain the indicator data of the second type within the preset time range.

[0088] In this embodiment, the first type of indicator data is the basic change data of the equipment operation, for example, current type indicator data and / or voltage type indicator data. When the user to be detected is using electricity normally, the first type of indicator data has regular periodic changes. When a fault and / or electricity operation occurs, the first type of indicator data will produce corresponding characteristic changes. In other words, the first type of indicator data is used to determine whether there is a change in the working status of each electrical device.

[0089] Among them, the first abnormal condition is that the first type of indicator data has a set number of sudden changes in value more than the set number of times. Under normal power usage conditions, the first type of indicator data does not have multiple sudden changes in value within a preset time range. When a fault or power operation occurs, the number of sudden changes in value will increase accordingly.

[0090] It can be understood that if the first type of indicator data meets the first abnormal condition within the preset time range, it can only be said that there is a change in the electrical working state within the preset time range, but it is impossible to infer whether an electrical failure has occurred through the change in the electrical working state. It is necessary to further obtain the second type of indicator data within the preset time range. Here, the second type of indicator data will produce corresponding changes with the first type of indicator data when a failure occurs.

[0091] 103. Determine whether the second type of indicator data within the preset time range meets the second abnormal condition.

[0092] In this embodiment, the second type of indicator data is additional change data of the equipment operation, for example, phase angle type indicator data, harmonic type indicator data and time type indicator data. When the user to be detected is using electricity normally, the second type of indicator data changes steadily. When an electricity operation occurs, the second type of indicator data will change, but the change is not a continuous change. When a fault occurs, the second type of indicator data will produce a corresponding characteristic change with the first type of indicator data. That is to say, by analyzing the second type of indicator data, it can be determined whether the working state of each electrical device has a fault according to the change rule of the indicator data.

[0093] The second abnormal condition is that the second type of indicator data and the first type of indicator data have a sudden change in value within the same data range. Under normal power consumption, the second type of indicator data does not have a sudden change in value within a preset time range or occasionally has a sudden change in value. When a fault or power operation occurs, the second type of indicator data and the first type of indicator data will have a sudden change in value within the same time range.

[0094] It can be understood that before a fire occurs, the first type of indicator data and the second type of indicator data output by the household electricity meter as change data of equipment operation can provide accurate and advantageous electricity consumption data information for the safety monitoring of household circuits, so as to carry out real-time safety monitoring of household electrical lines and electrical equipment.

[0095] 104. If yes, generate safety warning information according to the first type of indicator data and the second type of indicator data, so as to check the household circuits of the user to be detected through the safety warning information.

[0096] In order to provide relevant personnel with effective investigation information on the safety monitoring of household circuits, indicator data such as undervoltage, overvoltage, current interruption, voltage imbalance, current imbalance, power factor, active power, neutral current, etc. in the circuit, as well as the occurrence time and read-back data of the relevant time will be objectively and accurately recorded in real time through the electric meter, which can provide data support for the investigation of the cause of safety accidents in household circuits. Specifically, in the process of generating safety warning information, the abnormal information of the numerical mutation generated by the first type of indicator data can be combined with the abnormal information of the numerical mutation generated by the second type of indicator data for comparative analysis and data calculation, and the abnormal feature points obtained by the analysis are used as safety warning information, and the household circuits of the users to be detected are checked through the safety warning information.

[0097] For example, when the electrical circuit is overloaded, the aging and deterioration of the wire insulation layer is accelerated. When the overload is serious, the temperature of the wire will continue to rise, and the rising wire temperature will increase the resistance of the wire itself, so that the temperature of the wire will continue to rise, and even cause the insulation layer of the wire to burn or cause combustibles near the wire, causing a fire. In the fire caused by electrical circuit overload, the first type of indicator data output by the meter is expressed as: the current value is higher than usual and exceeds the carrying capacity of the wire (line overload) - line heating (after a certain period of overload) - current value decreases (after a period of time, the insulation layer of the line is partially damaged, which can cause a fire) - short circuit, and the second type of indicator data output by the meter is expressed as: the current index increases exponentially, the instantaneous active power increases (which can cause a fire) - circuit breaker action - current and voltage data are 0, and the total power factor is 1. By combining the first type of indicator data with the second type of indicator data for feature analysis, when an abnormality is detected in the indicator data, a safety warning message can be issued to the user to be detected at the first time of the accident to ensure the timeliness of household circuit safety monitoring.

[0098] Compared with the current existing technology of monitoring the safety of household circuits through detectors, the present invention provides a method for monitoring the safety of household circuits by obtaining at least one type of index data output by a household meter, which is a sub-electricity meter connected to the household circuit of the user to be detected. When it is detected that the index data of the first type meets the first abnormal condition within the preset time range, the index data of the second type within the preset time range is obtained. The first abnormal condition is that the index data of the first type has a numerical mutation of more than a set number of times, and it is judged whether the index data of the second type within the preset time range meets the second abnormal condition. The second abnormal condition is that the index data of the second type and the index data of the first type have a numerical mutation within the same data range. If so, a safety warning information is generated according to the index data of the first type and the index data of the second type, so as to check the household circuit of the user to be detected through the safety warning information. The whole process detects the index data output by the household meter to analyze whether the index data within the preset time range meets the abnormal condition, so as to detect the data abnormality in time at the initial stage of the fire development, avoid serious consequences caused by the fire development to a certain stage, and improve the timeliness of the safety monitoring of household circuits.

[0099] Furthermore, considering that different types of indicator data output by the electric meter have different change characteristics in the safety monitoring of household circuits, in order to better predict abnormalities in the indicator data, an abnormality detection model can also be established using standard indicator data of the normal electricity consumption process of the user to be detected, and the abnormality detection model is used to detect whether the first type of indicator data meets the first abnormal condition. Specifically, Figure 2 As shown, after step 101, the method further includes the following steps:

[0100] 201. Obtain different types of standard indicator data output by a household electric meter of a user to be detected during normal electricity usage.

[0101] 202. Determine electrical parameters formed by a current power usage process and a normal power usage process of the user to be detected based on the standard indicator data and the at least one type of indicator data.

[0102] 203. Detect, according to the electrical parameter, whether the first type of indicator data meets a first abnormal condition within a preset time range.

[0103] It is understandable that the standard indicator data of different types of outputs of the meter during normal electricity use of the user to be detected are usually relatively stable fluctuations. For example, the indicator data of the voltage type will present a semi-rectangular or linear wave with small instantaneous changes during normal electricity use. For specific voltage changes during normal electricity use, see Figure 3aSimilarly, the current type indicator data will show a semi-rectangular or linear wave with small instantaneous changes during normal power consumption. For specific current changes during normal power consumption, see Figure 3b As shown. When a poor line contact or sparking fault occurs, the nonlinear voltage and current waveforms will change sharply, and the voltage and current will increase or decrease instantaneously, and the power factor will increase accordingly. The line sparking here is due to the inductive load of normal power consumption becoming a very small resistive load, the instantaneous current increases suddenly, the power factor is close to 1, and the original inductive load is instantly returned to the end of the sparking. The voltage and current return to the previous normal state, and the above voltage and current changes are repeated before the next poor line contact and sparking.

[0104] That is to say, during normal electricity use, when household appliances are started up, the voltage will decrease to a certain extent according to the power of the appliance, the current will increase, and then the voltage and current will tend to a stable state; when the household appliances are turned off, the voltage and current changes are the opposite of the above. When a household appliance has a poor contact fault, the air switch will trip immediately; if the air switch is not configured properly or is damaged, the poor contact fault will persist, causing an electrical fire accident. When the user's electrical equipment has poor contact, the instantaneous contact resistance is very small, which is equivalent to a short circuit. For specific changes in voltage and current when a fault occurs, please refer to 4a and Figure 4b As shown, the voltage drops sharply and the current increases instantly. The moment of disconnection is equivalent to an open circuit, and the voltage and current tend to stable values. When the contact is poor for the second time, the voltage drops sharply again and the current increases instantly, and this cycle repeats until a spark is emitted from the fault point and an accident occurs. Household electricity meters can check whether there are value mutations in the indicator data of the voltage type and the indicator data of the voltage type based on the principle of voltage and current mutations at the moment of poor contact. When it is detected that these two types of indicator data have more than a set number of value mutations within a preset time range, it indicates that the operating status of the equipment may be abnormal, and other types of indicator data are needed to assist in the safety monitoring of household circuits.

[0105] Specifically, in the process of determining the electrical parameters formed by the current power consumption process and the normal power consumption process of the user to be detected according to the standard indicator data and at least one type of indicator data, the standard indicator data and the corresponding type of indicator data can be respectively mapped to the plane space, and the position coordinates of the standard indicator parameters and the corresponding type of indicator data are determined in the plane space. According to the position coordinates of the standard indicator parameters and the corresponding type of indicator data, the weighted Euclidean distance algorithm is used to calculate the electrical parameters formed by the current power consumption process and the normal power consumption process of the user to be detected. For example, the average value of the standard indicator data of the voltage type output in the smooth state is 220v, while the voltage fluctuates in the actual power consumption process. The distance value formed by the standard indicator data and the corresponding type of indicator parameters can be calculated by the Euclidean distance, that is, the distance value between two points in the plane space. That is to say, the greater the voltage fluctuation at a certain moment in the actual power consumption process, the greater the electrical parameter. The electrical parameters formed by the current power consumption process and the normal power consumption process at multiple moments can be obtained through the voltage fluctuation changes at multiple moments. The weighted Euclidean distance algorithm is further used to sum the multiple electrical parameters to obtain the electrical parameters formed by the current power consumption process and the normal power consumption process of the user to be detected.

[0106] Specifically, in the process of detecting whether the first type of indicator data meets the first abnormal condition within the preset time range according to the electrical parameters, the value change of the first type of indicator data output by the meter within the preset time range can be obtained according to the electrical parameters, and the situation where the value change is greater than the set amplitude is regarded as a sudden change in the value of the indicator data, and the first type of indicator data meets the first abnormal condition within the preset time range according to the statistical number of sudden changes in the value of the first type of indicator data within the preset time range. For example, the situation where the corresponding value change of the voltage type indicator data is greater than 15v is regarded as a sudden change in the value of the indicator data, and the number of sudden changes in the value of the voltage type indicator data output by the meter within 10 minutes is counted. If the number of sudden changes in the value is greater than 5 times, it is determined that the first type of indicator data meets the first abnormal condition.

[0107] On the basis that the first type of indicator data meets the first abnormal condition within the preset time range, it does not mean that the user to be detected has a fire hazard. It is necessary to further combine other types of indicator data to predict the fire alarm. Specifically, Figure 5 As shown, step 103 includes the following steps:

[0108] 301. Compare the second type of indicator data within the preset time range with the first type of indicator data within the same data range to determine data changes of the indicator data within the same data range.

[0109] 302. According to data changes of the indicator data within the same data range, determine whether there is a sudden change in value of the second type of indicator data and the first type of indicator data within the same data range within a preset time range.

[0110] In this embodiment, the same data range is usually the same time range. For example, the voltage type indicator data has data changes within 5-10 seconds, and the corresponding power type indicator data has data changes within 5-10 seconds. The comparison process here is whether there are corresponding numerical mutations in different types of indicator data within the same data range. For example, the voltage type indicator data has a numerical mutation in 6-8 seconds, and the power type indicator data also has a numerical mutation in 6-8 seconds.

[0111] It should be noted that although different types of indicator data have value mutations within the same data range, different types of indicator data have different requirements for value mutations, that is, the judgment of value mutations for voltage type indicator data and power type indicator data is different. That is to say, if there is a value mutation in the voltage type indicator data within 5-10 seconds, the power type indicator data may not necessarily have a value mutation within 5-10 seconds. The value mutation in the voltage type indicator data within 5-10 seconds can only indicate that there may be abnormalities in the operation of the equipment. If there is a value mutation in the power type indicator data within 5-10 seconds, it means that there may be fire hazards in the operation of the equipment, and the user to be tested needs to be given a safety warning for the household circuit. If there is no value mutation in the power type indicator data within 5-10 seconds, it means that the operation of the equipment is affected by the power operation and the value mutation occurs, not due to a malfunction.

[0112] Furthermore, in order to be able to predict the scope of the fault before generating the safety warning information, specifically, Figure 6 As shown, before step 104, the method further includes the following steps:

[0113] 401. Detect whether there is a line fault in the total electric energy meter connected to the household circuit of the user to be detected.

[0114] 402a. If yes, then obtain the location information of the line fault on the main line of the household circuit. 402b. Otherwise, obtain the location information of the line fault on the branch line of the household circuit.

[0115] 403. Predict the fault range of the household circuit according to the location information of the line fault.

[0116] Correspondingly, in step 104, safety warning information is generated based on the first type of indicator data and the second type of indicator data, and the predicted fault range of the household circuit is added to the safety warning information, so as to troubleshoot the household circuit of the user to be detected through the predicted fault range in the safety warning information.

[0117] Taking into account that the household electricity meter is a sub-meter connected to the household circuit, its coverage area is usually the branch line of the household circuit, that is, the meter that measures the electricity in the local area, and the total energy meter connected to the household circuit is a meter connected to the main line, that is, the meter that measures the electricity in the overall area. When combined with the sub-meter connected to the household circuit, it can realize the measurement of the electricity consumption of the household circuit. In other words, if the household electricity meter detects an abnormality, it may be caused by an abnormality in the main line or an abnormality in the branch line.

[0118] In order to further investigate the scope of the fault, it is possible to detect whether there is a line fault in the total electric energy meter connected to the household circuit of the user to be detected. If there is an abnormality in the total electric energy meter, it means that the line fault is not in the branch line of the household circuit, but in the main line. Further, the location information of the line fault is obtained on the main line of the household circuit. If there is no abnormality in the total electric energy meter, it means that there is a line fault in the branch line of the household circuit, not in the main line. Further, the location information of the line fault is obtained on the branch line of the household circuit. Finally, the fault scope of the household circuit is predicted according to the location of the line fault.

[0119] Furthermore, in order to be able to predict the fault type before generating safety warning information, specifically, Figure 7 As shown, before step 104, the method further includes the following steps:

[0120] 501. Continuously monitor the second type of indicator data to obtain characteristic change rules characterized by the indicator data on different fault types according to the first type of indicator data and the second type of indicator data.

[0121] 502. Predict the fault type of the household circuit according to the characteristic changes represented by the indicator data on different fault types.

[0122] Correspondingly, in step 104, safety warning information is generated based on the first type of indicator data and the second type of indicator data, and the predicted fault type of the household circuit is added to the safety warning information, so as to troubleshoot the household circuit of the user to be detected according to the predicted fault type in the safety warning information.

[0123] In this embodiment, the characteristic change rule is the manifestation rule of the indicator data in the waveform change. For example, if only the user's electricity meter outputs the first type of indicator data and finds an abnormality, the second type of indicator data can be continuously monitored. If the second type of indicator data continues to be abnormal rectangular wave for a short time and then tends to be stable, the fluctuation change may be caused by the user temporarily plugging and unplugging the electrical socket. If the second type of indicator data has multiple abnormal rectangular waves, the abnormal rectangular waves can be used to obtain the characteristic changes of the second type of indicator data in different fault types. If non-semi-rectangular waves or irregular sawtooth waves are detected for voltage and current, and the power factor fluctuates, the change in the indicator data is consistent with the characteristic change of the poor contact fault type, then the poor contact will be used as a possible fault type for a safety warning.

[0124] Further, as Figure 1-7 The specific implementation of the method, in the actual application scenario, the present application provides a household circuit security monitoring process as follows Figure 8 As shown, first is the data detection part, which is used to monitor the current and voltage output by the meter to detect whether the current and voltage output by the meter have a sudden change, and then there is the analysis and judgment part and the corresponding processing result part. If the current and voltage output by the meter have not a sudden change, it means that the power consumption of the user to be detected is normal. If the current and voltage output by the meter have a sudden change, it means that the power consumption of the user to be detected may be abnormal. Further continuous monitoring is performed to see whether the current and voltage tend to be stable within 1 second. If the current and voltage tend to be stable within 1 second, it means that the power consumption of the user to be detected is normal. If the current and voltage mutate multiple times within 1 second, further detection is performed to see whether at least one type of indicator data has one of the following characteristics: nonlinear or semi-rectangular wave changes in voltage and current, sudden increase in power consumption compared with usual times, and obvious change in power factor. If so, a comprehensive judgment is made on the probability of electrical fire due to poor contact, and safety warning information is generated according to the change characteristics of the indicator data. If not, the change characteristics of the indicator data are continuously detected, and the operation of the meter is checked on site to monitor the operation status of the equipment in real time.

[0125] Further, as Figure 1-8 The specific implementation of the method, the embodiment of the present application provides a safety monitoring device for household circuits, such as Fig. 9 As shown, the device includes: a first acquisition unit 61, a second acquisition unit 62, a judgment unit 63, and a generation unit 64.

[0126] A first acquisition unit 61 is used to acquire at least one type of indicator data output by a household electricity meter;

[0127] The second acquisition unit 62 is used to acquire the second type of indicator data within the preset time range when it is detected that the first type of indicator data meets the first abnormal condition within the preset time range, wherein the first abnormal condition is that the first type of indicator data has a value mutation of more than a set number of times;

[0128] A judging unit 63, configured to judge whether the second type of indicator data within the preset time range meets a second abnormal condition, wherein the second abnormal condition is that the second type of indicator data and the first type of indicator data have a sudden change in value within the same data range;

[0129] The generating unit 64 is configured to generate safety warning information according to the first type of indicator data and the second type of indicator data, so as to check the household circuits of the user to be detected through the safety warning information.

[0130] The safety monitoring device for household circuits provided by the embodiment of the present invention is compared with the safety monitoring method of household circuits through detectors in the existing technology. The present application obtains at least one type of index data output by a household meter, and the household meter is a sub-electric energy meter connected to the household circuit of the user to be detected. When it is detected that the first type of index data meets the first abnormal condition within the preset time range, the second type of index data within the preset time range is obtained. The first abnormal condition is that the first type of index data has a numerical mutation of more than a set number of times, and it is judged whether the second type of index data within the preset time range meets the second abnormal condition. The second abnormal condition is that the second type of index data and the first type of index data have a numerical mutation within the same data range. If so, a safety warning information is generated according to the first type of index data and the second type of index data, so as to check the household circuit of the user to be detected through the safety warning information. The whole process detects the index data output by the household meter to analyze whether the index data within the preset time range meets the abnormal condition, and can detect data abnormality in time at the initial stage of fire development, avoid serious consequences caused by fire development to a certain stage, and improve the timeliness of household circuit safety monitoring.

[0131] In a specific application scenario, the device further includes:

[0132] A third acquisition unit is used to acquire different types of standard indicator data output by the household electricity meter of the user to be detected during normal electricity use after acquiring at least one type of indicator data output by the household electricity meter;

[0133] a determination unit, configured to determine electrical parameters formed by a current power consumption process and a normal power consumption process of the user to be detected according to the standard indicator data and the at least one type of indicator data;

[0134] The first detection unit is used to detect whether the first type of indicator data meets the first abnormal condition within a preset time range according to the electrical parameter.

[0135] In a specific application scenario, the determining unit is specifically used to:

[0136] Respectively mapping the standard indicator data and the indicator data of the corresponding type to a plane space, and determining the position coordinates of the standard indicator parameters and the indicator data of the corresponding type in the plane space;

[0137] According to the position coordinates of the standard indicator parameters and the corresponding type of indicator data, a weighted Euclidean distance algorithm is used to calculate the electrical parameters formed by the current power consumption process and the normal power consumption process of the user to be detected.

[0138] In a specific application scenario, the first detection unit is specifically used to: obtain a value change of a first type of indicator data output by the electric meter within a preset time range according to the electrical parameter;

[0139] The situation where the numerical value change is greater than the set amplitude is regarded as a numerical mutation of the indicator data. According to the statistical number of numerical mutations occurring in the indicator data of the first type within the preset time range, it is detected whether the indicator data of the first type meets the first abnormal condition within the preset time range.

[0140] In a specific application scenario, the judgment unit is specifically used to:

[0141] Comparing the second type of indicator data within the preset time range with the first type of indicator data within the same data range to determine data changes of the indicator data within the same data range;

[0142] According to the data change of the indicator data within the same data range, it is determined whether there is a sudden value change in the second type of indicator data and the first type of indicator data within the same data range within a preset time range.

[0143] In a specific application scenario, the device further includes:

[0144] A second detection unit is used to detect whether there is a line fault in the total electric energy meter connected to the household circuit of the user to be detected before generating the safety warning information according to the first type of indicator data and the second type of indicator data to check the household circuit of the user to be detected through the safety warning information;

[0145] A fourth acquisition unit, configured to acquire the location information of the line fault on the main line of the household circuit if yes, and acquire the location information of the line fault on the branch line of the household circuit if no;

[0146] A first prediction unit, configured to predict a fault range of the household circuit according to the location information of the line fault;

[0147] Correspondingly, the generation unit is specifically used to generate safety warning information based on the first type of indicator data and the second type of indicator data, and then add the predicted fault range of the household circuit to the safety warning information, so as to check the household circuit of the user to be detected through the predicted fault range in the safety warning information.

[0148] In a specific application scenario, the device further includes:

[0149] A monitoring unit, configured to continuously monitor the second type of indicator data before generating the safety warning information according to the indicator data of the first type and the indicator data of the second type to troubleshoot the household circuits of the detected user through the safety warning information, so as to obtain characteristic changes characterized by the indicator data on different fault types according to the indicator data of the first type and the indicator data of the second type, wherein the characteristic change rule is the expression rule of the indicator data on the waveform change;

[0150] A second prejudgment unit, configured to prejudge the fault type of the safety monitoring of the household circuit according to the characteristic changes characterized by the indicator data on different fault types;

[0151] Correspondingly, the generating unit is further specifically used to generate safety warning information based on the indicator data of the first type and the indicator data of the second type, and then add the predicted fault type of the household circuit to the safety warning information, so as to troubleshoot the household circuit of the user to be detected according to the predicted fault type in the safety warning information.

[0152] It should be noted that for other corresponding descriptions of the functional units involved in the security monitoring device for a household circuit provided in this embodiment, reference can be made to Figure 1-Figure 8 The corresponding description in will not be repeated here.

[0153] Based on the above Figure 1-Figure 8 The method shown in the embodiment of the present application accordingly provides a storage medium on which a computer program is stored, and when the program is executed by a processor, the above-mentioned Figure 1-Figure 8 A method for safely monitoring household circuits is shown.

[0154] Based on this understanding, the technical solution of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.), and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each implementation scenario of the present application.

[0155] Based on the above Figure 1-Figure 8 The method shown, and Fig. 9 In order to achieve the above-mentioned purpose, the embodiment of the present application also provides a physical device for security monitoring of household circuits, which can be a computer, a smart phone, a tablet computer, a smart watch, a server, or a network device, etc. The physical device includes a storage medium and a processor; the storage medium is used to store a computer program; the processor is used to execute the computer program to achieve the above-mentioned Figure 1-Figure 8 A method for safely monitoring household circuits is shown.

[0156] Optionally, the physical device may also include a user interface, a network interface, a camera, a radio frequency (RF) circuit, a sensor, an audio circuit, a WI-FI module, etc. The user interface may include a display, an input unit such as a keyboard, etc., and the optional user interface may also include a USB interface, a card reader interface, etc. The network interface may optionally include a standard wired interface, a wireless interface (such as a WI-FI interface), etc.

[0157] In an exemplary embodiment, see Fig.10 The physical device includes a communication bus, a processor, a memory and a communication interface, and may also include an input / output interface and a display device, wherein each functional unit can communicate with each other through the bus. The memory stores a computer program, and the processor is used to execute the program stored in the memory and execute the safety monitoring method of the household circuit in the above embodiment.

[0158] Those skilled in the art will appreciate that the physical device structure for security monitoring of a household circuit provided in this embodiment does not constitute a limitation on the physical device, and may include more or fewer components, or a combination of certain components, or different arrangements of components.

[0159] The storage medium may also include an operating system and a network communication module. The operating system is a program that manages the hardware and software resources of the physical device for the security monitoring of the household circuit, and supports the operation of the information processing program and other software and / or programs. The network communication module is used to realize the communication between the components inside the storage medium, and the communication with other hardware and software in the information processing physical device.

[0160] Through the description of the above implementation methods, those skilled in the art can clearly understand that the present application can be implemented by means of software plus a necessary general hardware platform, or by hardware. By applying the technical solution of the present application, compared with the current existing methods, the present application detects the index data output by the household electricity meter to analyze whether the index data meets the abnormal conditions within the preset time range, and can detect data anomalies in time in the initial stage of fire development, avoid serious consequences caused by the fire development to a certain stage, and improve the timeliness of household circuit safety monitoring.

[0161] Those skilled in the art will appreciate that the accompanying drawings are only schematic diagrams of a preferred implementation scenario, and the modules or processes in the accompanying drawings are not necessarily necessary for implementing the present application. Those skilled in the art will appreciate that the modules in the devices in the implementation scenario can be distributed in the devices of the implementation scenario according to the description of the implementation scenario, or can be changed accordingly and located in one or more devices different from the present implementation scenario. The modules of the above-mentioned implementation scenario can be combined into one module, or can be further split into multiple submodules.

[0162] The above serial numbers of this application are only for description and do not represent the advantages and disadvantages of the implementation scenarios. The above disclosure is only a few specific implementation scenarios of this application, but this application is not limited to them, and any changes that can be thought of by technicians in this field should fall within the scope of protection of this application.

Claims

1. A method for safety monitoring of household circuits, characterized in that: include: Acquire at least one type of indicator data output by a household electricity meter, wherein the household electricity meter is a sub-electricity meter connected to a household circuit of a user to be detected; When it is detected that the first type of indicator data meets the first abnormal condition within the preset time range, the second type of indicator data within the preset time range is obtained, the first abnormal condition is that the first type of indicator data has a value mutation of more than a set number of times, the first type of indicator data is the basic change data of the equipment operation, including current type indicator data and / or voltage type indicator data, the second type of indicator data is additional change data of the equipment operation, including phase angle type indicator data, harmonic type indicator data and time type indicator data; Determine whether the second type of indicator data within the preset time range meets a second abnormal condition, where the second abnormal condition is that the second type of indicator data and the first type of indicator data have a sudden change in value within the same data range; If yes, generating safety warning information according to the first type of indicator data and the second type of indicator data, so as to check the household circuits of the user to be detected through the safety warning information; The determining whether the second type of indicator data within the preset time range meets the second abnormal condition includes: comparing the second type of indicator data within the preset time range with the first type of indicator data within the same data range to determine the data change of the indicator data within the same data range; and determining whether there is a sudden change in value between the second type of indicator data within the preset time range and the first type of indicator data within the same data range based on the data change of the indicator data within the same data range.

2. The method according to claim 1, characterized in that: After obtaining at least one type of indicator data output by the household electricity meter, the method further includes: Obtaining different types of standard indicator data output by the household electricity meter of the user to be tested during normal electricity consumption; Determine electrical parameters formed by a current power usage process and a normal power usage process of the user to be detected according to the standard indicator data and the at least one type of indicator data; The first type of indicator data is detected according to the electrical parameter to determine whether it meets a first abnormal condition within a preset time range.

3. The method according to claim 2, characterized in that The step of determining electrical parameters formed by a current power usage process and a normal power usage process of the user to be detected according to the standard indicator data and the at least one type of indicator data includes: Respectively mapping the standard indicator data and the indicator data of the corresponding type to a plane space, and determining the position coordinates of the standard indicator parameters and the indicator data of the corresponding type in the plane space; According to the position coordinates of the standard indicator parameters and the corresponding type of indicator data, a weighted Euclidean distance algorithm is used to calculate the electrical parameters formed by the current power consumption process and the normal power consumption process of the user to be detected.

4. The method according to claim 2, characterized in that: The detecting, according to the electrical parameter, whether the first type of indicator data meets the first abnormal condition within a preset time range includes: Acquire, according to the electrical parameters, a value change of a first type of indicator data output by the electric meter within a preset time range; The situation where the numerical value change is greater than the set amplitude is regarded as a numerical mutation of the indicator data. According to the statistical number of numerical mutations occurring in the indicator data of the first type within the preset time range, it is detected whether the indicator data of the first type meets the first abnormal condition within the preset time range.

5. The method according to any one of claims 1 to 4, characterized in that Before generating safety warning information according to the first type of indicator data and the second type of indicator data to check the household circuits of the detected user through the safety warning information, the method further includes: Detect whether there is a line fault in the total electric energy meter connected to the household circuit of the user to be detected; If yes, then obtain the location information of the line fault on the main line of the household circuit, otherwise, obtain the location information of the line fault on the branch line of the household circuit; Predicting the fault range of the household circuit according to the location information of the line fault; Correspondingly, after generating the security warning information according to the first type of indicator data and the second type of indicator data, the method further includes: The predicted fault range of the household circuit is added to the safety warning information, so as to check the household circuit of the user to be detected by using the predicted fault range in the safety warning information.

6. The method according to any one of claims 1 to 4, characterized in that Before generating safety warning information according to the first type of indicator data and the second type of indicator data to check the household circuits of the detected user through the safety warning information, the method further includes: Continuously monitoring the second type of indicator data to obtain characteristic variation rules characterized by the indicator data on different fault types based on the first type of indicator data and the second type of indicator data, wherein the characteristic variation rules are the expression rules of the indicator data on the waveform change; Predicting the fault type of the household circuit according to the characteristic changes represented by the indicator data on different fault types; Correspondingly, after generating the security warning information according to the first type of indicator data and the second type of indicator data, the method further includes: The predicted fault type of the household circuit is added to the safety warning information, so as to check the household circuit of the user to be detected according to the predicted fault type in the safety warning information.

7. A safety monitoring device for household circuits, characterized in that: include: A first acquisition unit, used to acquire at least one type of indicator data output by a household electricity meter; A second acquisition unit is used to acquire the second type of indicator data within the preset time range when it is detected that the first type of indicator data meets the first abnormal condition within the preset time range, the first abnormal condition is that the first type of indicator data has a numerical mutation of more than a set number of times, the first type of indicator data is the basic change data of the equipment operation, including current type indicator data and / or voltage type indicator data, and the second type of indicator data is the additional change data of the equipment operation, including phase angle type indicator data, harmonic type indicator data and time type indicator data; A judging unit, configured to judge whether the second type of indicator data within the preset time range meets a second abnormal condition, wherein the second abnormal condition is that the second type of indicator data and the first type of indicator data have a sudden change in value within the same data range; a generating unit, configured to generate safety warning information according to the first type of indicator data and the second type of indicator data, so as to check the household circuits of the user to be detected by using the safety warning information; The judgment unit is specifically used to compare the second type of indicator data within the preset time range with the first type of indicator data within the same data range to determine the data change of the indicator data within the same data range; based on the data change of the indicator data within the same data range, judge whether there is a numerical mutation in the second type of indicator data within the preset time range and the first type of indicator data within the same data range.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method for security monitoring of a household circuit according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for security monitoring of a household circuit according to any one of claims 1 to 6 are implemented.

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