Floor type metering box electricity larceny prevention monitoring control method based on built-in sensor

Abstract

The invention relates to the technical field of electricity larceny prevention monitoring, in particular to a floor type metering box electricity larceny prevention monitoring control method based on a built-in sensor. According to the invention, analysis is preliminarily carried out from the double angles of current and power consumption of the floor type metering box, so that whether the floor type metering box has a suspicious behavior of electricity stealing is judged, and whether monitoring data of the floor type metering box is abnormal due to self abnormity is analyzed from the angle of the equipment state; the accuracy of the anti-electricity-stealing monitoring result of the floor type metering box is further improved, electricity stealing analysis is further carried out from the power factor and the associated electricity consumption, the electricity stealing behavior is accurately recognized and early warned, the recognition accuracy of the electricity stealing behavior is improved, and the accuracy of the anti-electricity-stealing monitoring result of the floor type metering box is improved. And whether the floor type metering box is illegally opened for stealing electricity is deeply determined, so that early warning feedback can be timely carried out, the floor type metering box is reasonably managed, and an electricity stealer is prevented from further damaging the floor type metering box or covering electricity stealing evidences.

Description

Technical Field

[0001] The present invention relates to the technical field of anti-electricity theft monitoring, and in particular to an anti-electricity theft monitoring control method for a floor-standing meter box based on a built-in sensor. Background Art

[0002] With the continuous development of the power industry, electricity theft not only brings huge economic losses to power supply companies, but also seriously affects the normal order and safety of power supply. Floor-standing meter boxes, as important facilities for power metering and distribution, have become a high-incidence area for electricity theft due to their relatively exposed installation location. However, in the existing technology, it is difficult to safely monitor the current and power consumption of floor-standing meter boxes. At the same time, there is a lack of analysis of the causes of abnormal current and power consumption of floor-standing meter boxes, resulting in low efficiency of electricity theft in floor-standing meter boxes and the risk of false alarms. At the same time, it is impossible to accurately identify and feedback the existing electricity theft risks and identify theft behaviors, resulting in the inability of floor-standing meter boxes to effectively prevent electricity theft. In view of the above technical defects, a solution is now proposed. Summary of the Invention

[0003] The present invention aims to provide a method for monitoring and controlling electricity theft prevention for a floor-standing meter box based on a built-in sensor to address the aforementioned technical deficiencies. The present invention initially analyzes the current and power consumption of the floor-standing meter box to determine whether there are any anomalies in the current and power consumption of the floor-standing meter box, thereby determining whether the floor-standing meter box is suspected of electricity theft. Furthermore, the present invention uses information feedback to analyze the status of the floor-standing meter box, that is, to analyze whether an abnormality in the monitoring data of the floor-standing meter box is caused by an abnormality in the equipment status. This helps to further improve the accuracy of the anti-electricity theft monitoring results of the floor-standing meter box and avoid false warnings. Furthermore, the present invention further analyzes the power factor and associated power consumption to accurately identify and issue warnings for electricity theft, thereby improving the accuracy of electricity theft identification. Furthermore, the present invention further determines whether the floor-standing meter box was illegally opened to provide timely warning feedback, thereby rationalizing the management of the floor-standing meter box, such as locking the floor-standing meter box to prevent further damage to the floor-standing meter box or concealing evidence of theft.

[0004] The purpose of the present invention can be achieved by the following technical solution: a floor-standing meter box anti-theft monitoring and control method based on a built-in sensor comprises the following steps: Step 1: Based on the current and power consumption dual perspectives of the floor-standing meter box, the electricity theft risk assessment and management analysis is carried out. The obtained current mutation value and power consumption similarity assessment coefficient are discriminated and processed to obtain a difference signal or a stable signal. Step 2: Based on the interference analysis of electricity theft identification under the difference signal, the obtained status data is discriminated and processed to obtain normal signal or abnormal signal; Step 3: Based on the in-depth electricity theft identification feedback control analysis under information progression, the obtained coordinated electricity consumption index is discriminated and processed to obtain suspicious signals or electricity theft signals; Step 4: Based on the feedback analysis of metering switching safety monitoring under the power theft signal, the obtained switching record identification string is compared and analyzed with the standard record identification string to obtain a normal signal or an abnormal signal.

[0005] Preferably, the electricity theft risk assessment management and analysis process is as follows: The operating time period of the floor-standing meter box is collected and set as a time threshold. Current data and power consumption information of the floor-standing meter box within the time threshold are obtained based on a built-in sensor, where the current data includes a current characteristic curve, and the power consumption information represents a power consumption characteristic curve. Obtain the current characteristic curves and power consumption characteristic curves of multiple historical groups of normal floor-standing meter boxes, fit the current characteristic curves of the multiple historical groups and fit the power consumption characteristic curves of the multiple historical groups respectively, and set the curve obtained by fitting the current characteristic curves of the multiple historical groups as the conventional current characteristic curve, and set the curve obtained by fitting the power consumption characteristic curves of the multiple historical groups as the conventional power consumption curve model.

[0006] Preferably, the maximum value of the difference between the current characteristic curve and the values ​​of the conventional current characteristic curve at corresponding time points is obtained and set as the current mutation value; 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, and the current mutation value and the power consumption similarity evaluation coefficient are discriminated and processed to obtain a difference signal or a stable signal.

[0007] Preferably, the electricity theft identification interference analysis process is as follows: obtaining the status data of the floor-standing meter box within a time threshold, the status data including normal state and abnormal state, and performing discrimination processing on the status data of the floor-standing meter box: 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.

[0008] Preferably, the analysis process of the normal state and the abnormal state is as follows: a surface feature image of the line in the floor-standing meter box within a time threshold is obtained, and the surface feature image is compared and analyzed with a set standard feature image, a difference value between the surface feature image and the set standard feature image is obtained, and the difference value between the surface feature image and the set standard feature image is discriminated; if the difference value between the surface feature image 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 image 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 at the same time; When an interference signal is generated, the leakage current characteristic curve of the floor-standing meter box within the time threshold is obtained, the leakage current of the floor-standing meter box is obtained in real time based on the leakage current characteristic curve, and the leakage current of the floor-standing meter box is judged and processed: if the leakage current is equal to zero, the floor-standing meter box is judged to be in a normal state; if the leakage current is not equal to zero, the floor-standing meter box is judged to be in an abnormal state.

[0009] Preferably, the in-depth electricity theft identification feedback control analysis process is as follows: The power factor of the floor-standing meter box line corresponding to 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 drawn by plotting points. Based on the power factor curve, the maximum value of the power factor change corresponding to adjacent time points is obtained and set as the rapid change index. The rapid change index is then judged and processed. If the rapid change index is greater than or equal to the preset rapid change index threshold, an access signal is generated. If the rapid change index is less than the preset rapid change index threshold, no signal is generated.

[0010] Preferably, when an access signal is generated, the duration between adjacent time points corresponding to the rapid change index is obtained and set as a suspicious period, the increase in power consumption of the floor-standing meter box within the time threshold within the suspicious period is obtained and set as the collaborative power consumption index, and the collaborative power consumption index is judged and processed to obtain a suspicious signal or a power theft signal.

[0011] Preferably, the metering opening and closing safety monitoring feedback analysis process is as follows: Obtain the opening and closing status information of the floor-standing meter box within the time threshold, and obtain the time information of the most recent opening and closing from the current moment based on the opening and closing status information, the time information includes year, month, and day; Extract the characters of the year, month, and day in the time information, and set the string formed by the characters of the year, month, and day in the time information as the opening and closing record identification string. At the same time, retrieve the time information of the most recent opening and closing from the historical maintenance list, and set the string formed by the characters of the most recent opening and closing from the historical maintenance list as the standard record identification string. Compare and analyze the opening and closing record identification string with the standard record identification string to obtain a normal signal or a risk signal.

[0012] The beneficial effects of the present invention are as follows: (1) The present invention initially analyzes the current and power consumption of the floor-standing meter box from two perspectives to determine whether the current and power consumption of the floor-standing meter box are abnormal, and then determines whether the floor-standing meter box has suspicious behavior of stealing electricity. The present invention further analyzes the status of the floor-standing meter box through information feedback, that is, analyzes from the perspective of the equipment status whether the abnormality of the equipment causes the abnormality of the monitoring data of the floor-standing meter box, which helps to further improve the accuracy of the anti-theft monitoring results of the floor-standing meter box and avoid error warnings; (2) The present invention further analyzes electricity theft from the perspectives of power factor and associated power consumption, so as to accurately identify and warn of electricity theft, which helps to improve the accuracy of identifying electricity theft and deeply determine whether the floor-standing meter box is illegally opened to steal electricity, so as to provide timely warning feedback and rationalize the management of the floor-standing meter box, such as locking the floor-standing meter box to prevent the thief from further damaging the floor-standing meter box or covering up evidence of electricity theft. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] The present invention will be further described below with reference to the accompanying drawings; Figure 1 It is a reference analysis diagram of the method of the present invention; Figure 2 This is a local analysis diagram of Example 2 of the present invention. DETAILED DESCRIPTION

[0014] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0015] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present invention. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute a separate or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0016] Example 1: See also Figures 1 to 2 As shown, the present invention is a floor-standing meter box anti-theft monitoring and control method based on a built-in sensor, comprising the following steps: Step 1: Based on the current and power consumption dual perspectives of the floor-standing meter box, the electricity theft risk assessment and management analysis is carried out. The obtained current mutation value and power consumption similarity assessment coefficient are discriminated and processed to obtain a difference signal or a stable signal. Step 2: Based on the interference analysis of electricity theft identification under the difference signal, the obtained status data is discriminated and processed to obtain normal signal or abnormal signal; Step 3: Based on the in-depth electricity theft identification feedback control analysis under information progression, the obtained coordinated electricity consumption index is discriminated and processed to obtain suspicious signals or electricity theft signals; Step 4: Based on the feedback analysis of metering switching safety monitoring under the power theft signal, the obtained switching record identification string is compared with the standard record identification string to obtain a normal signal or an abnormal signal; The specific electricity theft risk assessment, management and analysis process is as follows: The operating time period of the floor-standing meter box is collected, and the operating time period of the floor-standing meter box is set as a time threshold; The current data and power consumption information of the floor-standing meter box within the time threshold are obtained based on built-in sensors, the current data including the current characteristic curve, and the power consumption information representing the power consumption characteristic curve. The built-in sensors include current sensors, temperature sensors, etc. Obtaining multiple historical sets of current characteristic curves and power consumption characteristic curves of normal floor-standing meter boxes, fitting the multiple historical sets of current characteristic curves and the multiple historical sets of power consumption characteristic curves, respectively, setting the curve obtained by fitting the multiple historical sets of current characteristic curves as a normal current characteristic curve, and setting the curve obtained by fitting the multiple historical sets of power consumption characteristic curves as a normal power consumption curve model; The maximum value of the difference between the current characteristic curve and the normal current characteristic curve at the corresponding time point is obtained and set as the current mutation value. It should be noted that the larger the current mutation value, the more suspected theft of electricity exists. Compare and analyze the power consumption characteristic curve 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 calculate the power consumption similarity evaluation coefficient based on the similarity between the power consumption characteristic curve and the conventional power consumption curve model; And the current mutation value and power consumption similarity evaluation coefficient are judged: If the current mutation value is greater than or equal to the preset current mutation value threshold, or the power consumption similarity evaluation coefficient is less than the preset power consumption similarity evaluation coefficient threshold, a difference signal is generated; If the current mutation value is less than the preset current mutation 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, that is, the preset warning text corresponding to the difference signal or the stable signal is displayed in the remote control center, that is, the preset warning text corresponding to the difference signal is "data abnormality", and the preset warning text corresponding to the stable signal is "data normal", so as to intuitively understand whether there is suspicious behavior of electricity theft in the floor-standing meter box through information feedback, that is, to perform fitting discriminant analysis from the two points of current and power consumption, thereby improving the efficiency of electricity theft identification for the floor-standing meter box; The specific electricity theft identification interference analysis process is as follows: The status data of the floor-standing meter box within the time threshold is obtained, and the status data includes normal status and abnormal status. The status data of the floor-standing meter box is discriminated and processed: 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, that is, the preset warning text corresponding to the normal signal or the abnormal signal is displayed in the remote control center, that is, the preset warning text corresponding to the normal signal is "equipment normal", and the preset warning text corresponding to the abnormal signal is "equipment abnormal", so as to analyze from the perspective of equipment status whether the monitoring data of the floor-standing meter box is abnormal due to equipment abnormality, which helps to further improve the accuracy of the anti-theft monitoring results of the floor-standing meter box and avoid error warnings; The analysis process of normal and abnormal states: obtain the surface feature image of the line in the floor-standing meter box within the time threshold, and compare and analyze the surface feature image with the set standard feature image, obtain the difference value between the surface feature image and the set standard feature image, and perform discrimination processing on the difference value between the surface feature image and the set standard feature image. If the difference value between the surface feature image and the set standard feature image is less than the preset threshold, it is judged to be normal. If the difference value between the surface feature image and the set standard feature image is greater than or equal to the preset threshold, it is judged to be interference, and an interference signal is generated at the same time. When the interference signal is generated, the leakage current characteristic curve of the floor-standing meter box within the time threshold is obtained, and the leakage current of the floor-standing meter box is obtained in real time based on the leakage current characteristic curve, and the leakage current of the floor-standing meter box is discriminated: if the leakage current is zero, the floor-standing meter box is judged to be in a normal state. If the leakage current is not equal to zero, the floor-standing meter box is judged to be in an abnormal state.

[0017] Example 2: The specific in-depth analysis process of electricity theft identification feedback control is as follows: The power factor of the floor-standing meter box line corresponding to 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. A power factor curve is drawn by plotting points. Based on the power factor curve, the maximum value of the power factor change corresponding to adjacent time points is obtained and set as the rapid change index. The rapid change index is then judged and processed. If the rapid change index is greater than or equal to the preset rapid change index threshold, an access signal is generated. If the rapid change index is less than the preset rapid change 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 is set as a suspicious period. The increase in the power consumption of the floor-standing meter box within the time threshold in the suspicious period is obtained, and is set as a coordinated power consumption index. The coordinated power consumption index is subjected to discrimination processing. If the coordinated power consumption index is greater than or equal to a preset coordinated power consumption index threshold, a suspicious signal is generated. If the coordinated power consumption index is less than the preset coordinated power consumption index threshold, a power theft signal is generated, i.e., the preset warning text corresponding to the suspicious signal or the power theft signal is displayed in the remote control center, i.e., the preset warning text corresponding to the suspicious signal is "suspicious behavior", and the preset warning text corresponding to the power theft signal is "power theft behavior", so as to further perform power theft analysis from the two points of power factor and associated power consumption, so as to accurately identify and warn the power theft behavior, which helps to improve the accuracy of identifying the power theft behavior; The specific metering opening and closing safety monitoring feedback analysis process is as follows: Obtain the opening and closing status information of the floor-standing meter box within the time threshold, including the number of opening and closing times, opening and closing times, etc. Based on the opening and closing status information, the time information of the most recent opening and closing from the current moment is obtained, and the time information includes year, month, day, etc.; Extract the characters of the year, month, and day in the time information, and set the string formed by the characters of the year, month, and day in the time information as the opening and closing record identification string. At the same time, retrieve the time information of the most recent opening and closing from the historical maintenance list, and set the string formed by the characters of the most recent opening and closing from the historical maintenance list as the standard record identification string. Compare and analyze the opening and closing record identification string with the standard record identification string: If the opening and closing record identification string corresponds to the standard record identification string one by one, a normal signal is generated; If the one-to-one correspondence between the opening and closing record identification string and the standard record identification string is not met, 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 the risk signal is immediately performed, that is, the preset warning text corresponding to the normal signal or the risk signal is displayed in the remote control center, that is, the preset warning text corresponding to the normal signal is "normal", and the preset warning text corresponding to the risk signal is "abnormal opening", so as to further determine whether the floor-standing meter box is illegally opened to steal electricity, so as to provide timely warning feedback and then rationally manage the floor-standing meter box, for example: cutting off the power supply or locking the floor-standing meter box to prevent the electricity thief from further damaging the floor-standing meter box or covering up the evidence of electricity theft; In summary, the present invention initially analyzes the current and power consumption of the floor-standing meter box from two perspectives to determine whether there are abnormalities in the current and power consumption of the floor-standing meter box, and then determines whether there is suspicious behavior of electricity theft in the floor-standing meter box. The information feedback method further analyzes the status of the floor-standing meter box, that is, analyzes from the perspective of the equipment status whether the monitoring data of the floor-standing meter box is abnormal due to equipment abnormality, which helps to further improve the accuracy of the anti-electricity theft monitoring results of the floor-standing meter box and avoid error warnings. At the same time, the power theft analysis is further performed from the two points of view of power factor and related power consumption, so as to accurately identify and warn of electricity theft, which helps to improve the accuracy of identifying electricity theft, and in-depth determination of whether the floor-standing meter box is illegally opened for electricity theft, so as to provide timely warning feedback, and then rationally manage the floor-standing meter box, for example: cutting off the power supply or locking the floor-standing meter box to prevent the electricity thief from further damaging the floor-standing meter box or covering up evidence of electricity theft.

[0018] 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 technicians in this field for each set of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0019] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with the technical field, within the technical scope disclosed by the present invention, who makes equivalent replacements or changes based on the technical solution and inventive concept of the present invention, should be covered by the scope of protection of the present invention.

Claims

1. A floor-standing meter box anti-theft monitoring and control method based on a built-in sensor is characterized in that: The following steps are involved: Step 1: Based on the current and power consumption dual perspectives of the floor-standing meter box, the electricity theft risk assessment and management analysis is carried out. The obtained current mutation value and power consumption similarity assessment coefficient are discriminated and processed to obtain a difference signal or a stable signal. Step 2: Based on the interference analysis of electricity theft identification under the difference signal, the obtained status data is discriminated and processed to obtain normal signal or abnormal signal; Step 3: Based on the in-depth electricity theft identification feedback control analysis under information progression, the obtained coordinated electricity consumption index is discriminated and processed to obtain suspicious signals or electricity theft signals; Step 4: Based on the feedback analysis of metering switching safety monitoring under the power theft signal, the obtained switching record identification string is compared and analyzed with the standard record identification string to obtain a normal signal or an abnormal signal.

2. The anti-electricity theft monitoring and control method for a floor-standing meter box based on a built-in sensor according to claim 1 is characterized in that: The electricity theft risk assessment management and analysis process is as follows: The operating time period of the floor-standing meter box is collected and set as a time threshold. Current data and power consumption information of the floor-standing meter box within the time threshold are obtained based on a built-in sensor, where the current data includes a current characteristic curve, and the power consumption information represents a power consumption characteristic curve. Obtain the current characteristic curves and power consumption characteristic curves of multiple historical groups of normal floor-standing meter boxes, fit the current characteristic curves of the multiple historical groups and fit the power consumption characteristic curves of the multiple historical groups respectively, and set the curve obtained by fitting the current characteristic curves of the multiple historical groups as the conventional current characteristic curve, and set the curve obtained by fitting the power consumption characteristic curves of the multiple historical groups as the conventional power consumption curve model.

3. The anti-electricity theft monitoring and control method for a floor-standing meter box based on a built-in sensor according to claim 2 is characterized in that: Obtaining the maximum value of the difference between the current characteristic curve and the values ​​of the normal current characteristic curve at corresponding time points, and setting it as the current mutation value; 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, and the current mutation value and the power consumption similarity evaluation coefficient are discriminated and processed to obtain a difference signal or a stable signal.

4. The anti-electricity theft monitoring and control method for a floor-standing meter box based on a built-in sensor according to claim 1 is characterized in that: The electricity theft identification interference analysis process is as follows: status data of the floor-standing meter box within a time threshold is obtained, the status data including normal status and abnormal status, and the status data of the floor-standing meter box is discriminated and processed: 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.

5. The anti-electricity theft monitoring and control method for a floor-standing meter box based on a built-in sensor according to claim 4 is characterized in that: Normal and abnormal state analysis process: obtain the surface feature image of the line in the floor-standing meter box within the time threshold, compare and analyze the surface feature image with the set standard feature image, obtain the difference value between the surface feature image and the set standard feature image, and perform discrimination processing on the difference value between the surface feature image and the set standard feature image. If the difference value between the surface feature image and the set standard feature image is less than the preset threshold, it is determined to be normal. If the difference value between the surface feature image 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 at the same time; When an interference signal is generated, the leakage current characteristic curve of the floor-standing meter box within the time threshold is obtained, the leakage current of the floor-standing meter box is obtained in real time based on the leakage current characteristic curve, and the leakage current of the floor-standing meter box is judged and processed: if the leakage current is equal to zero, the floor-standing meter box is judged to be in a normal state; if the leakage current is not equal to zero, the floor-standing meter box is judged to be in an abnormal state.

6. The anti-electricity theft monitoring and control method for a floor-standing meter box based on a built-in sensor according to claim 1 is characterized in that: The in-depth electricity theft identification feedback control analysis process is as follows: The power factor of the floor-standing meter box line corresponding to 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 drawn by plotting points. Based on the power factor curve, the maximum value of the power factor change corresponding to adjacent time points is obtained and set as the rapid change index. The rapid change index is then judged and processed. If the rapid change index is greater than or equal to the preset rapid change index threshold, an access signal is generated. If the rapid change index is less than the preset rapid change index threshold, no signal is generated.

7. The anti-electricity theft monitoring and control method for a floor-standing meter box based on a built-in sensor according to claim 6 is characterized in that: When an access signal is generated, the duration between adjacent time points corresponding to the rapid change index is obtained and set as a suspicious period. The increase in the power consumption of the floor-standing meter box within the time threshold within the suspicious period is obtained and set as the collaborative power consumption index. The collaborative power consumption index is then discriminated and processed to obtain a suspicious signal or a power theft signal.

8. The anti-electricity theft monitoring and control method for a floor-standing meter box based on a built-in sensor according to claim 1 is characterized in that: The metering opening and closing safety monitoring feedback analysis process is as follows: Obtain the opening and closing status information of the floor-standing meter box within the time threshold, and obtain the time information of the most recent opening and closing from the current moment based on the opening and closing status information, the time information includes year, month, and day; Extract the characters of the year, month, and day in the time information, and set the string formed by the characters of the year, month, and day in the time information as the opening and closing record identification string. At the same time, retrieve the time information of the most recent opening and closing from the historical maintenance list, and set the string formed by the characters of the most recent opening and closing from the historical maintenance list as the standard record identification string. Compare and analyze the opening and closing record identification string with the standard record identification string to obtain a normal signal or a risk signal.

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