Anti-theft electricity monitoring control method for floor type metering box based on built-in sensor

Abstract

The present application relates to the technical field of electricity larceny prevention monitoring, and particularly relates to a floor type metering box electricity larceny prevention monitoring control method based on a built-in sensor; the present application preliminarily analyzes from the current and power consumption of the floor type metering box, and then determines whether the floor type metering box has suspicious electricity larceny behavior, and analyzes whether the monitoring data of the floor type metering box is abnormal due to its own abnormality from the perspective of the equipment state, and then helps to further improve the accuracy of the floor type metering box electricity larceny prevention monitoring result, and further analyzes the electricity larceny from the power factor and the associated power consumption, so as to accurately identify and warn the electricity larceny behavior, helps to improve the identification accuracy of the electricity larceny behavior, and further determines whether the floor type metering box is illegally opened for electricity larceny, so as to timely give a warning feedback, and then reasonably manages the floor type metering box, prevents the electricity larcener from further damaging the floor type metering box or covering up the electricity larceny evidence.

Description

Anti-theft monitoring and control method for floor-standing metering boxes based on built-in sensors Technical Field

[0001] This invention relates to the field of anti-electricity theft monitoring technology, and in particular to an anti-electricity theft monitoring and control method for floor-standing meter boxes based on built-in sensors. Background Technology

[0002] With the continuous development of the power industry, electricity theft has not only caused huge economic losses to power supply companies, but also seriously affected the normal order and safety of power supply. As an important facility for electricity metering and distribution, floor-mounted meter boxes have become a high-incidence area for electricity theft due to their relatively exposed installation location.

[0003] However, in the existing technology, it is difficult to safely monitor the current and power consumption of floor-mounted metering boxes. At the same time, there is a lack of analysis on the reasons for abnormal current and power consumption of floor-mounted metering boxes, which leads to low efficiency in preventing electricity theft by floor-mounted metering boxes, the risk of false alarms, and the inability to accurately identify and respond to existing electricity theft risks and identify electricity theft behavior. As a result, floor-mounted metering boxes cannot effectively prevent electricity theft.

[0004] To address the aforementioned technical shortcomings, a solution is proposed. Summary of the Invention

[0005] The purpose of this invention is to provide a method for monitoring and controlling electricity theft prevention in floor-standing meter boxes based on built-in sensors, thereby addressing the aforementioned technical deficiencies. This invention initially analyzes the current and power consumption of the floor-standing meter box from two perspectives to determine if these readings are abnormal, and thus whether there is any suspicious electricity theft activity. Further analysis of the meter box's status is conducted through information feedback, specifically analyzing whether equipment malfunctions are causing abnormal monitoring data. This helps improve the accuracy of the electricity theft prevention monitoring results and avoids error warnings. Simultaneously, further analysis of electricity theft is performed from the perspectives of power factor and related power consumption to accurately identify and warn of electricity theft activities, improving the accuracy of identification and further determining whether the meter box has been illegally opened for theft. This allows for timely warning feedback and rational management of the meter box, such as locking it to prevent further damage or concealment of evidence.

[0006] The objective of this invention can be achieved through the following technical solution: a method for monitoring and controlling electricity theft prevention in a floor-standing metering box based on built-in sensors, comprising the following steps:

[0007] Step 1: Based on the dual perspectives of current and power consumption of the floor-mounted metering box, conduct a risk assessment and management analysis of electricity theft, and perform discrimination processing on the obtained current mutation value and power consumption similarity assessment coefficient to obtain the difference signal or stable signal.

[0008] Step 2: Based on the interference analysis of electricity theft identification under the difference signal, the obtained state data is processed to obtain normal or abnormal signals;

[0009] Step 3: Based on the in-depth feedback control analysis of electricity theft identification under the information progression, the obtained collaborative electricity consumption index is processed to obtain suspicious signals or electricity theft signals;

[0010] Step 4: Based on the feedback analysis of metering opening and closing safety monitoring under the electricity theft signal, compare and analyze the obtained opening and closing record identification string with the standard record identification string to obtain the normal signal or abnormal signal.

[0011] Preferably, the electricity theft risk assessment and management analysis process is as follows:

[0012] The running time of the floor-standing metering box is collected, and the running time of the floor-standing metering box is set as a time threshold. Based on the built-in sensor, the current data and power consumption information of the floor-standing metering box within the time threshold are obtained. The current data includes the current characteristic curve, and the power consumption information represents the power consumption characteristic curve.

[0013] The current characteristic curves and power consumption characteristic curves of multiple historical normal floor-standing metering boxes were obtained. The current characteristic curves and power consumption characteristic curves of the multiple historical sets were fitted respectively. The curve obtained by fitting the current characteristic curves of the multiple historical sets was set as the conventional current characteristic curve, and the curve obtained by fitting the power consumption characteristic curves of the multiple historical sets was set as the conventional power consumption curve model.

[0014] Preferably, the maximum value of the difference between the current characteristic curve and the corresponding time point of the conventional current characteristic curve is obtained and set as the current mutation value;

[0015] The power consumption characteristic curve is compared and analyzed with the conventional power consumption curve model to obtain the similarity between the power consumption characteristic curve and the conventional power consumption curve model. The similarity between the power consumption characteristic curve and the conventional power consumption curve model is then used to obtain the power consumption similarity evaluation coefficient. The current mutation value and the power consumption similarity evaluation coefficient are then processed to obtain the difference signal or stable signal.

[0016] Preferably, the electricity theft identification interference analysis process is as follows: the status data of the floor-standing meter box within a time threshold is obtained, the status data includes normal status and abnormal status, and the status data of the floor-standing meter box is judged: if the status data of the floor-standing meter box is normal, a normal signal is generated; if the status data of the floor-standing meter box is abnormal, an abnormal signal is generated.

[0017] The preferred analysis process for normal and abnormal states is as follows: Surface feature images of the circuits inside the floor-mounted metering box are acquired within a time threshold, and the surface feature images are compared and analyzed with a set standard feature image to obtain the difference value between the surface feature images and the set standard feature image. The difference value between the surface feature images and the set standard feature image is then processed for discrimination. If the difference value between the surface feature images and the set standard feature image is less than a preset threshold, it is determined to be normal. If the difference value between the surface feature images and the set standard feature image is greater than or equal to the preset threshold, it is determined to be interference, and an interference signal is generated simultaneously.

[0018] When an interference signal is generated, the leakage current characteristic curve of the floor-standing meter box within the time threshold is obtained. Based on the leakage current characteristic curve, the leakage current of the floor-standing meter box is obtained in real time, and the leakage current of the floor-standing meter box is judged: if the leakage current is equal to zero, the floor-standing meter box is judged to be in normal state; if the leakage current is not equal to zero, the floor-standing meter box is judged to be in abnormal state.

[0019] Preferably, the in-depth electricity theft identification feedback control analysis process is as follows:

[0020] The power factor of the floor-mounted metering box line at different time points within the time threshold is obtained. The power factor represents the ratio between active power and apparent power. A rectangular coordinate system is established with the number of time points as the X-axis and the power factor as the Y-axis. The power factor curve is plotted by plotting points. Based on the power factor curve, the maximum change of power factor at adjacent time points is obtained and set as the speed index. The speed index is then judged. If the speed index is greater than or equal to the preset speed index threshold, an access signal is generated. If the speed index is less than the preset speed index threshold, no signal is generated.

[0021] Preferably, when an access signal is generated, the duration between adjacent time points corresponding to the speed change index is obtained and set as a suspicious period. The increase in electricity consumption of the floor-mounted metering box within the time threshold within the suspicious period is obtained and set as a collaborative electricity consumption index. The collaborative electricity consumption index is then processed to obtain a suspicious signal or an electricity theft signal.

[0022] Preferably, the metering opening and closing safety monitoring feedback analysis process is as follows:

[0023] The system obtains the opening and closing status information of the floor-mounted metering box within a time threshold, and obtains the time information of the most recent switch based on the opening and closing status information, including year, month and day.

[0024] The year, month, and day in the time information are extracted, and the string formed by the extracted characters of the year, month, and day in the time information is set as the opening and closing record identification string. At the same time, the time information of the most recent switch in the historical maintenance list is retrieved, and the string formed by the extracted characters of the most recent switch in the historical maintenance list is set as the standard record identification string.

[0025] By comparing and analyzing the opening and closing record identification string with the standard record identification string, a normal signal or a risk signal can be obtained.

[0026] The beneficial effects of this invention are as follows:

[0027] (1) This invention initially analyzes the current and power consumption of the floor-mounted metering box from two perspectives to determine whether the current and power consumption of the floor-mounted metering box are abnormal, and then determines whether there is any suspicious behavior of electricity theft in the floor-mounted metering box. Furthermore, it analyzes the status of the floor-mounted metering box through information feedback, that is, analyzes whether the monitoring data of the floor-mounted metering box is abnormal due to equipment abnormality from the perspective of equipment status, which helps to further improve the accuracy of the anti-theft monitoring results of the floor-mounted metering box and avoid error warnings.

[0028] (2) The present invention further analyzes electricity theft from two aspects: power factor and related electricity consumption, so as to accurately identify and warn of electricity theft, which helps to improve the accuracy of electricity theft identification and to deeply determine whether the ground-mounted meter box is illegally opened for electricity theft, so as to provide timely warning feedback and then to rationally manage the ground-mounted meter box, such as locking the ground-mounted meter box to prevent electricity thieves from further damaging the ground-mounted meter box or covering up the evidence of electricity theft. Attached Figure Description

[0029] The invention will now be further described with reference to the accompanying drawings;

[0030] Figure 1 is a reference analysis diagram of the method of the present invention;

[0031] Figure 2 is a partial analysis diagram of Embodiment 2 of the present invention. Detailed Implementation

[0032] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0033] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0034] Example 1:

[0035] Please refer to Figures 1 and 2. This invention is a method for monitoring and controlling electricity theft prevention in a floor-standing metering box based on built-in sensors, comprising the following steps:

[0036] Step 1: Based on the dual perspectives of current and power consumption of the floor-mounted metering box, conduct a risk assessment and management analysis of electricity theft, and perform discrimination processing on the obtained current mutation value and power consumption similarity assessment coefficient to obtain the difference signal or stable signal.

[0037] Step 2: Based on the interference analysis of electricity theft identification under the difference signal, the obtained state data is processed to obtain normal or abnormal signals;

[0038] Step 3: Based on the in-depth feedback control analysis of electricity theft identification under the information progression, the obtained collaborative electricity consumption index is processed to obtain suspicious signals or electricity theft signals;

[0039] Step 4: Based on the feedback analysis of metering opening and closing safety monitoring under the electricity theft signal, compare and analyze the obtained opening and closing record identification string with the standard record identification string to obtain the normal signal or abnormal signal;

[0040] The specific process for assessing, managing, and analyzing the risk of electricity theft is as follows:

[0041] The running time of the floor-standing metering box is collected, and the running time of the floor-standing metering box is set as a time threshold.

[0042] The current data and power consumption information of the floor-standing metering box are obtained within a time threshold based on the built-in sensors. The current data includes the current characteristic curve, and the power consumption information represents the power consumption characteristic curve. The built-in sensors include current sensors, temperature sensors, etc.

[0043] The current characteristic curves and power consumption characteristic curves of multiple historical normal floor-standing meter boxes are obtained. The current characteristic curves and power consumption characteristic curves of multiple historical sets are fitted respectively. The curve obtained by fitting the current characteristic curves of multiple historical sets is set as the conventional current characteristic curve, and the curve obtained by fitting the power consumption characteristic curves of multiple historical sets is set as the conventional power consumption curve model.

[0044] The maximum value of the difference between the current characteristic curve and the corresponding time point of the conventional current characteristic curve is obtained and set as the current mutation value. It should be noted that the larger the value of the current mutation value, the more likely there is to be suspicion of electricity theft.

[0045] The power consumption characteristic curve is compared and analyzed with the conventional power consumption curve model to obtain the similarity between the power consumption characteristic curve and the conventional power consumption curve model, and the similarity between the power consumption characteristic curve and the conventional power consumption curve model is used to calculate the power consumption similarity evaluation coefficient.

[0046] The system also performs discrimination processing on the sudden change value of current and the power consumption similarity evaluation coefficient:

[0047] If the current surge value is greater than or equal to the preset current surge value threshold, or the power consumption similarity evaluation coefficient is less than the preset power consumption similarity evaluation coefficient threshold, then a difference signal is generated.

[0048] If the current surge value is less than the preset current surge value threshold and the power consumption similarity evaluation coefficient is greater than or equal to the preset power consumption similarity evaluation coefficient threshold, a stable signal is generated. This means that the preset warning text corresponding to the difference signal or the stable signal is displayed in the remote control center. Specifically, the preset warning text corresponding to the difference signal is "data abnormal" and the preset warning text corresponding to the stable signal is "data normal". This allows for a direct understanding of whether there is any suspicious electricity theft behavior in the floor-mounted metering box through information feedback. In other words, the fitting and discriminant analysis is performed from the two points of current and power consumption, thereby improving the efficiency of electricity theft identification of the floor-mounted metering box.

[0049] The specific process for analyzing interference in electricity theft detection is as follows:

[0050] The system acquires status data of the floor-standing metering box within a time threshold, including normal and abnormal states. It then processes this data: if the metering box is in a normal state, a normal signal is generated; if it is in an abnormal state, an abnormal signal is generated. The system then displays a preset warning text corresponding to either the normal or abnormal signal in the remote control center. Specifically, the preset warning text for a normal signal is "Equipment Normal," and the preset warning text for an abnormal signal is "Equipment Abnormal." This allows for analysis of whether equipment malfunctions are causing abnormal monitoring data from the floor-standing metering box, thereby improving the accuracy of anti-theft monitoring results and preventing error warnings.

[0051] Analysis process for normal and abnormal states: Surface feature images of the wiring inside the floor-standing metering box are acquired within a time threshold. These images are compared with a set standard feature image to obtain the difference value. This difference value is then processed for discrimination. If the difference value is less than a preset threshold, the system is considered normal. If the difference value is greater than or equal to the preset threshold, interference is detected, and an interference signal is generated. When an interference signal is generated, the leakage current characteristic curve of the floor-standing metering box within the time threshold is acquired. Based on this curve, the leakage current of the floor-standing metering box is acquired in real time, and the leakage current is processed for discrimination. If the leakage current is zero, the floor-standing metering box is considered to be in a normal state; if the leakage current is not zero, the floor-standing metering box is considered to be in an abnormal state.

[0052] Example 2:

[0053] The specific in-depth electricity theft identification feedback control analysis process is as follows:

[0054] The power factor of the floor-mounted metering box line at different time points within the time threshold is obtained. The power factor represents the ratio between active power and apparent power. A rectangular coordinate system is established with the number of time points as the X-axis and the power factor as the Y-axis. The power factor curve is plotted by plotting points. Based on the power factor curve, the maximum change of power factor at adjacent time points is obtained and set as the speed index. The speed index is then judged. If the speed index is greater than or equal to the preset speed index threshold, an access signal is generated. If the speed index is less than the preset speed index threshold, no signal is generated.

[0055] When an access signal is generated, the duration between adjacent time points corresponding to the speed index is obtained and set as a suspicious period. The increase in electricity consumption of the floor-mounted metering box within the time threshold of the suspicious period is obtained and set as the collaborative electricity consumption index. The collaborative electricity consumption index is then processed. If the collaborative electricity consumption index is greater than or equal to the preset collaborative electricity consumption index threshold, a suspicious signal is generated. If the collaborative electricity consumption index is less than the preset collaborative electricity consumption index threshold, an electricity theft signal is generated. The preset warning text corresponding to the suspicious signal or the electricity theft signal is displayed in the remote control center. The preset warning text corresponding to the suspicious signal is "suspicious behavior", and the preset warning text corresponding to the electricity theft signal is "electricity theft behavior". This allows for further analysis of electricity theft from the perspectives of power factor and related electricity consumption, so as to accurately identify and warn of electricity theft behavior and help improve the accuracy of electricity theft behavior identification.

[0056] The specific process for the safety monitoring and feedback analysis of meter opening and closing is as follows:

[0057] The opening and closing status information of the floor-mounted metering box within the time threshold is obtained. The opening and closing status information includes the number of times it is switched on and off, the switching time, etc.

[0058] Based on the open / closed status information, the time information of the most recent switch is obtained from the current moment, including year, month, day, etc.

[0059] The year, month, and day in the time information are extracted, and the string formed by the extracted characters of the year, month, and day in the time information is set as the opening and closing record identification string. At the same time, the time information of the most recent switch in the historical maintenance list is retrieved, and the string formed by the extracted characters of the most recent switch in the historical maintenance list is set as the standard record identification string.

[0060] The opening / closing record identification string is compared and analyzed with the standard record identification string:

[0061] If the opening / closing record identification string corresponds one-to-one with the standard record identification string, then a regular signal is generated;

[0062] If the opening / closing record identification string does not correspond one-to-one with the standard record identification string, a risk signal is generated. When a normal signal or a risk signal is generated, the preset warning operation corresponding to the normal signal or risk signal is immediately performed. That is, the preset warning text corresponding to the normal signal or risk signal is displayed in the remote control center. The preset warning text corresponding to the normal signal is "normal", and the preset warning text corresponding to the risk signal is "abnormal opening". This is to further determine whether the floor-mounted meter box is illegally opened for electricity theft, so as to provide timely warning feedback and then to rationally manage the floor-mounted meter box, such as cutting off the power or locking the floor-mounted meter box to prevent electricity thieves from further damaging the floor-mounted meter box or covering up evidence of electricity theft.

[0063] In summary, this invention initially analyzes the current and power consumption of the floor-standing metering box from two perspectives to determine whether there are any abnormalities in these parameters, thereby identifying any suspicious electricity theft. Furthermore, it analyzes the metering box's status through information feedback, specifically examining whether equipment malfunctions are causing abnormal monitoring data. This helps improve the accuracy of the anti-theft monitoring results and avoids error warnings. Simultaneously, it further analyzes electricity theft from the power factor and related power consumption to accurately identify and warn of theft, improving the accuracy of theft detection and further determining whether the metering box has been illegally opened for theft. This allows for timely warning feedback and rational management of the metering box, such as cutting off the power or locking it to prevent further damage or concealment of evidence.

[0064] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by those skilled in the art for each set of sample data; as long as it does not affect the ratio between the parameter and the quantized value, it is acceptable.

[0065] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A method for monitoring and controlling electricity theft prevention in a floor-standing metering box based on built-in sensors, characterized in that: Includes the following steps: Step 1: Based on the dual perspectives of current and power consumption of the floor-mounted metering box, conduct a risk assessment and management analysis of electricity theft, and perform discrimination processing on the obtained current mutation value and power consumption similarity assessment coefficient to obtain the difference signal or stable signal. Step 2: Based on the interference analysis of electricity theft identification under the difference signal, the obtained state data is processed to obtain normal or abnormal signals; Step 3: Based on the in-depth feedback control analysis of electricity theft identification under the information progression, the obtained coordinated electricity consumption index is processed to obtain suspicious signals or electricity theft signals; Step 4: Based on the feedback analysis of meter opening and closing safety monitoring under the electricity theft signal, the obtained opening and closing record identification string and the standard record identification string are compared and analyzed to obtain normal signals or abnormal signals; The electricity theft risk assessment and management analysis process is as follows: The running time of the floor-mounted meter box is collected, and the running time of the floor-mounted meter box is set as a time threshold. Based on the built-in sensor, the data is collected... The system collects current data and power consumption information for floor-standing metering boxes within a time threshold. Current data includes a current characteristic curve, and power consumption information represents a power consumption characteristic curve. It also acquires historical current and power consumption characteristic curves from multiple sets of normal floor-standing metering boxes, fitting both the historical current and power consumption characteristic curves. The curve obtained from fitting the historical current and power consumption characteristic curves is designated as the conventional current characteristic curve, and the curve obtained from fitting the historical power consumption characteristic curve is designated as the conventional power consumption curve model. Finally, it identifies the maximum difference between the values ​​at corresponding time points between the current characteristic curve and the conventional current characteristic curve, and sets this maximum difference as the current abrupt change value. The power consumption characteristic curve is compared and analyzed with a conventional power consumption curve model to obtain the similarity between the two models. A power consumption similarity evaluation coefficient is then calculated based on this similarity. The current surge value and the power consumption similarity evaluation coefficient are then processed to obtain either a difference signal or a stable signal. The interference analysis process for identifying electricity theft is as follows: The status data of the floor-standing metering box within a time threshold is obtained. This status data includes normal and abnormal states. The status data of the floor-standing metering box is then processed to determine whether it is in a normal state or an abnormal state. If an abnormal state is detected, an abnormal signal is generated. The in-depth electricity theft identification feedback control analysis process is as follows: The power factor of the ground-mounted metering box line at different time points within the time threshold is obtained. The power factor represents the ratio between active power and apparent power. A rectangular coordinate system is established with the number of time points as the X-axis and the power factor as the Y-axis. The power factor curve is plotted by plotting points. Based on the power factor curve, the maximum change value of the power factor at adjacent time points is obtained and set as the speed index. The speed index is then judged. If the speed index is greater than or equal to the preset speed index threshold, an access signal is generated. If the speed index is less than the preset speed index threshold, no signal is generated.When an access signal is generated, the duration between adjacent time points corresponding to the rapid change index is obtained and designated as a suspicious period. The increase in electricity consumption of the floor-mounted metering box within a time threshold during the suspicious period is then obtained and designated as a coordinated electricity consumption index. This index is then processed to determine whether a suspicious signal or an electricity theft signal is generated.

2. The method for monitoring and controlling electricity theft prevention in a floor-standing metering box based on a built-in sensor as described in claim 1, characterized in that, Analysis process for normal and abnormal states: Surface feature images of the wiring inside the floor-standing metering box are acquired within a time threshold. These images are compared with a set standard feature image to obtain the difference value. This difference value is then processed for discrimination. If the difference value is less than a preset threshold, the system is considered normal. If the difference value is greater than or equal to the preset threshold, interference is detected, and an interference signal is generated. When an interference signal is generated, the leakage current characteristic curve of the floor-standing metering box within the time threshold is acquired. Based on this curve, the leakage current of the floor-standing metering box is acquired in real time and processed for discrimination. If the leakage current is zero, the floor-standing metering box is considered to be in a normal state; if the leakage current is not zero, the floor-standing metering box is considered to be in an abnormal state.

3. The method for monitoring and controlling electricity theft prevention in a floor-standing metering box based on a built-in sensor as described in claim 1, characterized in that, The metering opening and closing safety monitoring feedback analysis process is as follows: The opening and closing status information of the floor-mounted metering box within the time threshold is obtained. Based on the opening and closing status information, the time information of the most recent switch (including year, month, and day) is obtained. Characters of the year, month, and day in the time information are extracted, and the string formed by the extracted characters is set as the opening and closing record identification string. Simultaneously, the time information of the most recent switch in the historical maintenance list is retrieved, and the string formed by the extracted characters of the most recent switch in the historical maintenance list is set as the standard record identification string. The opening and closing record identification string is compared and analyzed with the standard record identification string to obtain a normal signal or a risk signal.

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