A fire early warning monitoring method and monitoring device for a low-voltage meter box

Abstract

The present invention relates to the field of fire risk warning technology, and specifically discloses a fire warning monitoring method and monitoring device for a low-voltage meter box. It includes: obtaining real-time current data collected by the low-voltage meter box; judging whether the real-time current data is greater than a preset current threshold; if the real-time current data is greater than the preset current threshold, performing short-circuit analysis based on the real-time current data, and generating a short-circuit analysis result; if the short-circuit analysis result is characterized by the existence of a short circuit, disconnecting the power output end of the low-voltage meter box, and outputting a first fire warning message; if the short-circuit analysis result is characterized by the absence of a short circuit, performing a fire analysis, and outputting a corresponding second fire warning message. By monitoring the short-circuit and aging conditions of the line and generating corresponding fire warning information, hierarchical monitoring and warning of fire risks are achieved, and the predicted fire moment can be determined by the second temperature rise rate, the heat dissipation rate and the preset temperature threshold, effectively reducing the hazards caused by the fire.

Description

Technical Field

[0001] The present invention relates to the technical field of fire risk early warning, and in particular to a fire early warning monitoring method and a monitoring device for a low-voltage meter box. Background Art

[0002] Low-voltage meter boxes usually refer to electrical equipment used to install electric energy metering instruments (such as electric energy meters), transformers and other equipment. It provides installation, protection and insulation measures for these equipment. The meter box is the shell of fixed installation electric meters, current transformers and other electric instruments. It has the characteristics of protection, safety, beauty and visibility, and is convenient for the installation or replacement of electric meters.

[0003] With the increase of high-power electrical appliances in residents' homes, the capacity of the meter box may not be able to bear such a high power load. If the power load in the home exceeds the standard for a long time, it will cause the household circuits and equipment to heat up, and the line joints of the meter box will also be oxidized, have poor contact or even loosen, which will aggravate the heating and sparking phenomenon of the contact points. At the same time, if the lines in the meter box are aging, the insulation layer of the wires may be damaged, resulting in short circuits or poor contact, causing electric sparks, which may cause fires.

[0004] Since low-voltage meter boxes are usually installed in residential buildings, once a fire occurs, if it is not controlled in time, it is easy to cause harm to the life and property safety of the entire building. Therefore, early warning and monitoring of fires in low-voltage meter boxes has become a problem to be solved. Summary of the invention

[0005] In order to overcome the above-mentioned technical problems existing in the prior art, an embodiment of the present invention provides a fire warning monitoring method and a monitoring device for a low-voltage meter box. When the real-time current is greater than a set threshold, a short-circuit analysis is performed on the real-time current, and corresponding warning information is output according to the short-circuit analysis result, thereby realizing fire warning and monitoring of the low-voltage meter box.

[0006] In order to achieve the above-mentioned purpose, an embodiment of the present invention provides a fire warning monitoring method for a low-voltage meter box, the method comprising: acquiring real-time current data collected by the low-voltage meter box; judging whether the real-time current data is greater than a preset current threshold; if the real-time current data is greater than the preset current threshold, performing a short-circuit analysis based on the real-time current data to generate a short-circuit analysis result; if the short-circuit analysis result indicates that a short circuit exists, disconnecting the power output terminal of the low-voltage meter box and outputting a first fire warning information; if the short-circuit analysis result indicates that there is no short circuit, performing a fire analysis and outputting a corresponding second fire warning information.

[0007] Preferably, the short-circuit analysis is performed based on the real-time current data to generate a short-circuit analysis result, including: determining the collection time of the current real-time current data; obtaining historical current data; determining the user's electricity usage habits based on the historical current data; determining the maximum electricity usage current data from the user's electricity usage habits; judging whether the current real-time current data is less than the maximum electricity usage current data; if so, generating a short-circuit analysis result that there is no short circuit; otherwise, generating a short-circuit analysis result that there is a short circuit.

[0008] Preferably, executing the fire analysis and outputting the corresponding second fire warning information includes: performing an aging analysis on the low-voltage meter box to obtain an aging analysis result; determining the fire risk current based on the aging analysis result; judging whether the fire risk current is less than or equal to the real-time current data; if so, generating a second fire warning information with a high fire risk; otherwise, generating a second fire warning information with a low fire risk.

[0009] Preferably, performing an aging analysis on the low-voltage meter box to obtain an aging analysis result includes: obtaining an aging curve of the low-voltage meter box, the aging curve being used to characterize the minimum current that causes a fire in a unit time; obtaining the temperature rise rate of the low-voltage meter box under current real-time current data; correcting the aging curve based on the first temperature rise rate to generate a corrected curve; and generating an aging analysis result based on the collection time and the corrected curve.

[0010] Preferably, the generating of the second fire warning information indicating a low fire risk comprises: acquiring the ambient temperature, and determining the heat dissipation rate based on the ambient temperature; determining the predicted fire moment based on the temperature rise rate, the heat dissipation rate and a preset temperature threshold; and generating the second fire warning information based on the predicted fire moment.

[0011] On the other hand, an embodiment of the present invention provides a fire warning monitoring device for a low-voltage meter box, the device comprising: a data acquisition unit, used to acquire real-time current data collected by the low-voltage meter box; a judgment unit, used to judge whether the real-time current data is greater than a preset current threshold; a short-circuit analysis unit, used to perform short-circuit analysis based on the real-time current data and generate a short-circuit analysis result when the real-time current data is greater than the preset current threshold; a first monitoring unit, used to disconnect the power output end of the low-voltage meter box and output a first fire warning message if the short-circuit analysis result indicates that a short circuit exists; a second monitoring unit, used to perform fire analysis and output a corresponding second fire warning message if the short-circuit analysis result indicates that there is no short circuit.

[0012] Preferably, the short-circuit analysis unit includes: a time determination module, used to determine the collection time of the current real-time current data; a historical data acquisition module, used to acquire historical current data; a user habit determination module, used to determine the user's power usage habits based on the historical current data; a maximum data determination module, used to determine the maximum power usage current data from the user's power usage habits; a first judgment module, used to judge whether the current real-time current data is less than the maximum power usage current data; if so, generate a short-circuit analysis result that there is no short circuit; otherwise, generate a short-circuit analysis result that there is a short circuit.

[0013] Preferably, the second monitoring unit includes: an aging analysis module, used to perform aging analysis on the low-voltage meter box to obtain an aging analysis result; a risk current determination module, used to determine the fire risk current based on the aging analysis result; a second judgment module, used to judge whether the fire risk current is less than or equal to the real-time current data; if so, generating a second fire warning information with a high fire risk; otherwise, generating a second fire warning information with a low fire risk.

[0014] Preferably, the aging analysis module is specifically used to: obtain an aging curve of the low-voltage meter box, the aging curve being used to characterize the minimum current that causes a fire in unit time; obtain the temperature rise rate of the low-voltage meter box under current real-time current data; correct the aging curve based on the temperature rise rate to generate a corrected curve; and generate an aging analysis result based on the acquisition time and the corrected curve.

[0015] Preferably, the generating of the second fire warning information indicating a low fire risk comprises: acquiring the ambient temperature, and determining the heat dissipation rate based on the ambient temperature; determining the predicted fire moment based on the temperature rise rate, the heat dissipation rate and a preset temperature threshold; and generating the second fire warning information based on the predicted fire moment.

[0016] Through the technical solution provided by the present invention, the present invention has at least the following technical effects:

[0017] By monitoring the short circuit and aging of the lines, and comparing the fire risk current with the real-time current, the corresponding fire warning information is generated, which enables graded monitoring and warning of fire risks. The fire time can be predicted by the second temperature rise rate, heat dissipation rate and preset temperature threshold, effectively reducing the hazards caused by the fire.

[0018] Other features and advantages of the embodiments of the present invention will be described in detail in the subsequent detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the accompanying drawings:

[0020] Figure 1 It is a specific implementation flow chart of a fire early warning monitoring method for a low-voltage meter box provided by an embodiment of the invention;

[0021] Figure 2 It is a specific implementation flow chart of performing short circuit analysis and generating short circuit analysis results provided by an embodiment of the invention;

[0022] Figure 3 It is a specific implementation flow chart of executing fire analysis and outputting second fire warning information provided by an embodiment of the invention;

[0023] Figure 4 It is a specific implementation flow chart of performing aging analysis on a low-voltage meter box and obtaining aging analysis results provided by an embodiment of the invention;

[0024] Figure 5 It is a specific implementation flow chart of generating the second fire warning information provided by an embodiment of the invention. DETAILED DESCRIPTION

[0025] The specific implementation of the embodiment of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the embodiment of the present invention, and is not used to limit the embodiment of the present invention.

[0026] The terms "system" and "network" in the embodiments of the present invention can be used interchangeably. "Multiple" means two or more than two. In view of this, "multiple" can also be understood as "at least two" in the embodiments of the present invention. "And / or" describes the association relationship of associated objects, indicating that three relationships can exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / ", unless otherwise specified, generally indicates that the previous and subsequent associated objects are in an "or" relationship. In addition, it should be understood that in the description of the embodiments of the present invention, the words "first", "second", etc. are only used to distinguish the purpose of description, and cannot be understood as indicating or implying relative importance, nor can they be understood as indicating or implying order.

[0027] In the prior art, the monitoring of the low-voltage meter box collects on-site environmental information through a temperature sensor. This method may produce false alarms, and may cause an alarm only after a fire has occurred due to the insensitivity of the sensor monitoring.

[0028] To improve monitoring accuracy and safety, please refer to Figure 1, an embodiment of the present invention provides a fire early warning monitoring method for a low-voltage meter box, the method comprising:

[0029] S10: Acquire real-time current data collected by the low-voltage meter box;

[0030] S20: Determine whether the real-time current data is greater than a preset current threshold;

[0031] S30: If the real-time current data is greater than the preset current threshold, perform short-circuit analysis based on the real-time current data to generate a short-circuit analysis result;

[0032] S31: If the short-circuit analysis result indicates that a short circuit exists, disconnecting the power output terminal of the low-voltage meter box and outputting a first fire warning message;

[0033] S32: If the short circuit analysis result indicates that there is no short circuit, perform fire analysis and output corresponding second fire warning information.

[0034] In an embodiment of the present invention, the fire warning monitoring method of the low-voltage meter box provided in the embodiment of the present invention is applied to a fire warning monitoring device. In the process of fire monitoring, the real-time current data collected by the low-voltage meter box is first monitored. For example, the low-voltage meter box is arranged at the power distribution entrance of each electricity user / user. First, the real-time current data is collected by the low-voltage meter box, and then it is determined whether the real-time current data exceeds the preset current threshold. For example, in one embodiment, by setting a current threshold, such as 7A, the collected real-time current data is compared with the set current threshold. If the collected real-time current data is greater than the set current threshold, a short-circuit analysis is performed on the real-time current data to generate a short-circuit analysis result; if the short-circuit analysis result indicates that a short circuit exists, the power output end of the low-voltage meter box is disconnected, and a first fire warning information is output; if the short-circuit analysis result indicates that there is no short circuit, a fire analysis is performed, and the corresponding second fire warning information is output.

[0035] Through the fire warning monitoring method for the low-voltage meter box provided by the present embodiment, when an abnormality is found in the current user's electricity consumption, a short-circuit analysis is performed on it. When the short-circuit analysis result indicates that a short circuit exists, the power output end of the low-voltage meter box is immediately disconnected and a corresponding prompt message is output to avoid the occurrence of potential fires and improve the safety of electricity use. When the short-circuit analysis result indicates that there is no short circuit, a fire analysis is performed and a corresponding second fire warning message is output. Although the short circuit is ruled out at this time, since the real-time current exceeds the preset current threshold, power overload or line aging may also cause a fire. Therefore, this method improves the accuracy of fire monitoring of the low-voltage meter box.

[0036] However, in actual applications, for adequate safety assurance, the power consumption threshold is often set low. Sometimes, users may experience an increase in power consumption or the magnitude of power consumption due to actual power demand (e.g., starting a high-power air conditioner, entertaining friends and family at night, etc.). Therefore, simply setting a current threshold and directly comparing the threshold with real-time current data may lead to inaccurate short-circuit risk analysis results, or even misjudgment, thereby reducing user experience.

[0037] To solve the above technical problems, please see Figure 2 , the short-circuit analysis is performed based on the real-time current data to generate a short-circuit analysis result, including: determining the collection time of the current real-time current data; obtaining historical current data; determining the user's power usage habits based on the historical current data; determining the maximum power usage current data from the user's power usage habits; judging whether the current real-time current data is less than the maximum power usage current data; if so, generating a short-circuit analysis result that there is no short circuit; otherwise, generating a short-circuit analysis result that there is a short circuit.

[0038] In a possible embodiment, the collection time of the current real-time current data is first determined by the fire warning monitoring device, and then the historical current data is obtained and analyzed to determine the user's electricity usage habits. Specifically, the technicians in this field set 7 days as the time period to be analyzed through the fire warning monitoring device. The device extracts the corresponding periodic electricity usage data from the historical normal electricity usage data obtained by the acquisition unit according to a period of 7 days, and then extracts the electricity usage time characteristics, electricity usage intensity characteristics and habit fluctuation characteristics from the obtained periodic electricity usage data, and then extracts the electricity usage time characteristics, electricity usage intensity characteristics and habit fluctuation characteristics from the obtained periodic electricity usage data, and analyzes the historical current data to determine the user's electricity usage habits, and determines the maximum electricity current data according to the user's electricity usage habits. Then, based on the maximum electricity current data and the current real-time current data, analyze whether there is a short circuit at present to generate a more accurate short circuit analysis result.

[0039] The fire warning monitoring provided by the embodiment of the present application analyzes and determines the user's electricity usage habits, and performs a more accurate analysis of whether a short circuit currently exists, and generates an accurate short circuit analysis result. This further improves the accuracy of the expected power consumption obtained by subsequent analysis, thereby improving the accuracy of fire warning monitoring.

[0040] However, in actual application, although there is no short circuit situation for the current user, the long-term high current will increase the temperature inside the low-voltage meter box, and the long-term high temperature may also cause a fire in the low-voltage meter box. Therefore, only relying on judging whether there is a short circuit to monitor the fire will have a certain deviation from the actual situation, which will result in the real-time current being lower than the maximum power consumption current data, but the fire caused by long-term high load has not been monitored.

[0041] To solve the above technical problems, please see Figure 3 and Figure 4 , the executing fire analysis and outputting the corresponding second fire warning information include: executing aging analysis on the low-voltage meter box to obtain aging analysis results; determining the fire risk current based on the aging analysis results; judging whether the fire risk current is less than or equal to the real-time current data; if so, generating the second fire warning information with high fire risk; otherwise, generating the second fire warning information with low fire risk.

[0042] Preferably, performing an aging analysis on the low-voltage meter box to obtain an aging analysis result includes: obtaining an aging curve of the low-voltage meter box, the aging curve being used to characterize the minimum current that causes a fire in a unit time; obtaining the temperature rise rate of the low-voltage meter box under current real-time current data; correcting the aging curve based on the temperature rise rate to generate a corrected curve; and generating an aging analysis result based on the acquisition time and the corrected curve.

[0043] In a possible embodiment, an aging analysis is first performed on the low-voltage meter box. Specifically, an aging curve of the low-voltage meter box is obtained. The aging curve can be drawn in advance by a technician. The vertical axis of the aging curve is current, and the horizontal axis is time. It is used to characterize the minimum current that causes a fire in a unit time; the aging curve of the low-voltage meter box is obtained through a fire warning device.

[0044] However, in actual application, different low-voltage meter boxes are set in different geographical locations, environments, etc., resulting in different aging progress. Therefore, the standard aging curve may deviate from the actual aging curve. In order to correct this deviation, the temperature rise rate of the low-voltage meter box under the current real-time current data is further obtained. For example, the temperature in the low-voltage meter box is collected in real time by a temperature sensor set in the low-voltage meter box, and the temperature rise rate of the low-voltage meter box is determined according to its temperature change. Then, the aging curve is corrected based on the temperature rise rate to generate a corrected curve; the aging analysis results are generated based on the collection time and the corrected curve. Specifically, the aging curve of the low-voltage meter box is first obtained. A standard temperature rise rate can be obtained through the aging curve. At this time, the temperature rise rate of the low-voltage meter box under the current real-time current data is obtained, and the standard temperature rise rate is corrected based on the temperature rise rate to generate a corrected temperature rise rate.

[0045] For example, in one embodiment, it can be known from the standard aging curve that when the average current per unit time is 9.8A in one minute, a fire will occur in the low-voltage meter box. Therefore, 9.8A is used as the fire risk current, and the temperature rise rate under the current of 9.8A is obtained. For example, it is defined that a fire will occur if the temperature rises from 20 degrees to 80 degrees in one minute, which is equivalent to a rise of 60 degrees Celsius in one minute. From this, a standard temperature rise rate can be obtained. However, since the current aging rate of the low-voltage meter box exceeds expectations, the temperature rise rate will increase accordingly. For example, when the current is 9.8A, the temperature rise amplitude has already exceeded 60 degrees Celsius in one minute, which is easy to cause harm to the untimely fire warning. Therefore, by analyzing the actual temperature rise rate of the low-voltage meter box, its standard temperature rise rate is calibrated to correct its aging curve, evaluate its actual aging degree, and further generate the corresponding aging analysis results.

[0046] In an embodiment of the present invention, the actual degree of aging of the low-voltage meter box is corrected by the actual temperature rise rate of the low-voltage meter box, so as to more accurately evaluate the actual degree of aging. Based on this, whether there is a fire risk is accurately evaluated, thereby improving the accuracy of fire monitoring.

[0047] At this time, the fire risk current is further determined based on the aging analysis results to determine whether the fire risk current is less than or equal to the real-time current data; when the fire risk current is less than or equal to the real-time current data, that is, maintaining the real-time current within a unit time will inevitably lead to the occurrence of a fire, and thus a second fire warning information with a high fire risk is generated, and a warning is issued; when the fire risk current is greater than the real-time current data, that is, maintaining the real-time current within a unit time may not lead to the occurrence of a fire, but there is still a potential fire risk, and thus a second fire warning information with a low fire risk is generated.

[0048] Through the electricity theft monitoring method provided in this embodiment, the real-time temperature rise rate is used to correct the aging curve to obtain a risk current that can accurately assess whether a fire will occur. By comparing the current with the real-time current, it is possible to more accurately assess whether a fire will occur, and to provide corresponding early warnings or alerts in a timely manner, thereby improving the accuracy of fire monitoring.

[0049] However, in actual application, if only the second fire warning information of low fire risk is output, it is easy for people to relax, and the low fire risk does not mean that there will be no fire, which may easily lead to failure to receive timely warning when a fire occurs.

[0050] To solve the above technical problems, please see Figure 5, the generating of the second fire warning information with a low fire risk includes: obtaining the ambient temperature, determining the heat dissipation rate based on the ambient temperature; determining the predicted fire moment based on the temperature rise rate, the heat dissipation rate and a preset temperature threshold; and generating the second fire warning information based on the predicted fire moment.

[0051] In a possible embodiment, the second fire warning information is further configured. First, the ambient temperature is obtained, and the heat dissipation rate is determined based on the ambient temperature. Specifically, the heat dissipation rate can be determined by the temperature difference between the low-pressure meter box and the ambient temperature, as well as the ventilation conditions of the low-pressure meter box, the size of the internal space and other parameters. The fire moment is predicted by the heat dissipation rate, the preset temperature threshold and the temperature rise rate, and the second warning information is generated based on the predicted fire moment.

[0052] For example, in one embodiment, based on the real-time temperature rise rate, it can be known that based on a current of 9.75A, the temperature will rise from 20 degrees Celsius to 100 degrees Celsius within one minute, and its heat dissipation rate is -20°C / min. Therefore, it can be determined that the temperature will rise from the current 18°C ​​to 78°C in one minute, and no fire will occur. However, it will reach the preset temperature threshold of 138°C in 2 minutes, which means the predicted fire moment is determined, and a second warning information is generated based on the predicted fire moment.

[0053] The fire monitoring method provided in this embodiment improves the existing passive fire monitoring method and adopts active fire monitoring. The present invention can not only analyze short circuits and line aging, but also determine the predicted fire moment based on the temperature rise rate, heat dissipation rate and preset temperature threshold. While improving the accuracy of fire monitoring, it can also predict the fire moment, further avoiding the harm caused by the fire.

[0054] On the other hand, an embodiment of the present invention provides a fire warning monitoring device for a low-voltage meter box, the device comprising: a data acquisition unit, used to acquire real-time current data collected by the low-voltage meter box; a judgment unit, used to judge whether the real-time current data is greater than a preset current threshold; a short-circuit analysis unit, used to perform short-circuit analysis based on the real-time current data and generate a short-circuit analysis result when the real-time current data is greater than the preset current threshold; a first monitoring unit, used to disconnect the power output end of the low-voltage meter box and output a first fire warning message if the short-circuit analysis result indicates that a short circuit exists; a second monitoring unit, used to perform fire analysis and output a corresponding second fire warning message if the short-circuit analysis result indicates that there is no short circuit.

[0055] In an embodiment of the present invention, the short-circuit analysis unit includes: a time determination module, used to determine the collection time of the current real-time current data; a historical data acquisition module, used to acquire historical current data; a user habit determination module, used to determine the user's power usage habits based on the historical current data; a maximum data determination module, used to determine the maximum power usage current data from the user's power usage habits; a first judgment module, used to judge whether the current real-time current data is less than the maximum power usage current data; if so, generate a short-circuit analysis result that there is no short circuit; otherwise, generate a short-circuit analysis result that there is a short circuit.

[0056] In an embodiment of the present invention, the second monitoring unit includes: an aging analysis module, used to perform aging analysis on the low-voltage meter box to obtain an aging analysis result; a risk current determination module, used to determine the fire risk current based on the aging analysis result; a second judgment module, used to judge whether the fire risk current is less than or equal to the real-time current data; if so, generating a second fire warning information with a high fire risk; otherwise, generating a second fire warning information with a low fire risk.

[0057] In an embodiment of the present invention, the aging analysis module is specifically used to: obtain an aging curve of the low-voltage meter box, the aging curve being used to characterize the minimum current that causes a fire in unit time; obtain the temperature rise rate of the low-voltage meter box under current real-time current data; correct the aging curve based on the temperature rise rate to generate a corrected curve; and generate an aging analysis result based on the acquisition time and the corrected curve.

[0058] In an embodiment of the present invention, the generating of the second fire warning information indicating a low fire risk includes: obtaining the ambient temperature, and determining the heat dissipation rate based on the ambient temperature; determining the predicted fire moment based on the temperature rise rate, the heat dissipation rate and a preset temperature threshold; and generating the second fire warning information based on the predicted fire moment.

[0059] The optional implementation modes of the embodiments of the present invention are described in detail above in conjunction with the accompanying drawings. However, the embodiments of the present invention are not limited to the specific details in the above implementation modes. Within the technical concept of the embodiments of the present invention, various simple modifications can be made to the technical scheme of the embodiments of the present invention, and these simple modifications all belong to the protection scope of the embodiments of the present invention.

[0060] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, the embodiments of the present invention will not further describe various possible combinations.

[0061] Those skilled in the art can understand that all or part of the steps in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a program, and the program is stored in a storage medium, including a number of instructions to enable a single-chip microcomputer, a chip or a processor to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0062] In addition, various implementation modes of the embodiments of the present invention may be arbitrarily combined, and as long as they do not violate the concept of the embodiments of the present invention, they should also be regarded as the contents disclosed by the embodiments of the present invention.

Claims

1. A fire early warning monitoring method for a low-voltage meter box, characterized in that: The method comprises: Acquiring real-time current data collected by the low-voltage meter box; Determining whether the real-time current data is greater than a preset current threshold; If the real-time current data is greater than the preset current threshold, performing short-circuit analysis based on the real-time current data to generate a short-circuit analysis result; If the short-circuit analysis result indicates that a short circuit exists, disconnecting the power output terminal of the low-voltage meter box and outputting a first fire warning message; If the short circuit analysis result indicates that there is no short circuit, performing fire analysis and outputting corresponding second fire warning information; The performing short circuit analysis based on the real-time current data to generate a short circuit analysis result includes: Determine the collection time of current real-time current data; Get historical current data; determining the user's electricity usage habits based on the historical current data; Determining maximum power consumption current data from the user's power consumption habits; Determine whether the current real-time current data is less than the maximum power consumption current data; If so, generate a short-circuit analysis result in which no short-circuit exists; Otherwise, a short-circuit analysis result is generated indicating that a short-circuit condition exists; The performing of fire analysis and outputting corresponding second fire warning information includes: Performing aging analysis on the low-voltage meter box to obtain aging analysis results; determining a fire risk current based on the aging analysis result; Determining whether the fire risk current is less than or equal to the real-time current data; If so, a second fire warning message of high fire risk is generated; Otherwise, a second fire warning message indicating a low fire risk is generated; The performing aging analysis on the low-voltage meter box to obtain an aging analysis result includes: Obtaining an aging curve of the low-voltage meter box, where the aging curve is used to characterize a minimum current that causes a fire to occur within a unit time; Obtaining the temperature rise rate of the low-voltage meter box under the current real-time current data; Correcting the aging curve based on the temperature rise rate to generate a corrected curve; Generate an aging analysis result based on the acquisition time and the corrected curve; The generating of the second fire warning information with low fire risk comprises: Acquiring an ambient temperature, and determining a heat dissipation rate based on the ambient temperature; Determining a predicted fire moment based on the temperature rise rate, the heat dissipation rate and a preset temperature threshold; The second fire warning information is generated based on the predicted fire time.

2. A fire early warning monitoring device for a low-voltage meter box, characterized in that: The device comprises: A data acquisition unit, used to acquire real-time current data collected by the low-voltage meter box; A judging unit, used to judge whether the real-time current data is greater than a preset current threshold; a short circuit analysis unit, configured to perform short circuit analysis based on the real-time current data and generate a short circuit analysis result when the real-time current data is greater than the preset current threshold; A first monitoring unit is configured to disconnect the power output terminal of the low-voltage meter box and output first fire warning information if the short-circuit analysis result indicates that a short circuit exists; A second monitoring unit is configured to perform fire analysis and output corresponding second fire warning information if the short circuit analysis result indicates that there is no short circuit; The short circuit analysis unit comprises: A time determination module is used to determine the collection time of the current real-time current data; A historical data acquisition module is used to acquire historical current data; A user habit determination module, used to determine the user's electricity usage habits based on the historical current data; A maximum data determination module, used to determine maximum power consumption current data from the user's power consumption habits; The first judgment module is used to judge whether the current real-time current data is less than the maximum power consumption current data; if so, generate a short-circuit analysis result indicating that there is no short-circuit; otherwise, generate a short-circuit analysis result indicating that there is a short-circuit; The second monitoring unit comprises: An aging analysis module, used to perform aging analysis on the low-voltage meter box to obtain an aging analysis result; A risk current determination module, used to determine the fire risk current based on the aging analysis result; The second judgment module is used to judge whether the fire risk current is less than or equal to the real-time current data; if so, generate the second fire warning information of high fire risk; otherwise, generate the second fire warning information of low fire risk; The aging analysis module is specifically used for: Obtaining an aging curve of the low-voltage meter box, where the aging curve is used to characterize a minimum current that causes a fire to occur within a unit time; Obtaining the temperature rise rate of the low-voltage meter box under the current real-time current data; Correcting the aging curve based on the temperature rise rate to generate a corrected curve; Generate an aging analysis result based on the acquisition time and the corrected curve; The generating of the second fire warning information with low fire risk comprises: Acquiring an ambient temperature, and determining a heat dissipation rate based on the ambient temperature; Determining a predicted fire moment based on the temperature rise rate, the heat dissipation rate and a preset temperature threshold; The second fire warning information is generated based on the predicted fire time.

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