Intelligent measurement switch and meter box power anomaly monitoring method

Abstract

The application provides a kind of intelligent measurement switch and meter box electric quantity abnormal monitoring method, comprising: metering unit, for metering the electric energy of supply into meter box;Storage unit, for storing the communication address of each electric energy meter in the meter box;Communication unit, for carrying out directional reading to each electric energy meter in the meter box according to the communication address stored in the storage unit by carrier communication or wireless communication, and obtaining the electric energy of each electric energy meter;Processing unit is configured to compare the sum of the electric energy of each electric energy meter in the same statistical period with the electric energy metered by the metering unit in the statistical period, and determine that the meter box electric quantity is abnormal and generate abnormal event in the case that the difference between the two satisfies the preset condition.The technical method provided by the application realizes accurate and convenient monitoring of meter box electric quantity abnormality.

Description

Technical Field

[0001] This invention relates to the field of power system technology, and in particular to a method for monitoring abnormal power consumption of intelligent measuring switches and metering boxes. Background Technology

[0002] Intelligent metering switches are intelligent power devices that integrate circuit breaker protection and high-precision power measurement functions. They are typically installed at the incoming end of low-voltage metering boxes, serving as circuit protection devices and key sensing nodes for power IoT at the end of the distribution network. Intelligent metering switches provide real-time measurement of parameters such as electrical energy, voltage, and current supplied to the metering box, playing a crucial role in IoT sensing and reliable power supply in new power systems.

[0003] To monitor abnormal power consumption in the metering box, a smart metering switch is physically connected to multiple energy meters within the box via an RS485 bus. After power-on, the smart metering switch reads the energy data from each meter individually via the RS485 line and compares its own measured energy with the sum of the energy measured by all the meters. If the difference exceeds a set threshold, an abnormal power consumption event is detected, thus enabling the monitoring of electricity theft or abnormal line loss within the metering box.

[0004] However, the construction operation of RS485 wiring in the confined space of the low-voltage metering box is difficult and inconvenient. It not only increases the time and cost of on-site installation and commissioning, but also affects the wiring standardization and operational safety of the metering box due to the excessive number of internal flying wires. Summary of the Invention

[0005] The present invention provides a method for monitoring abnormal power levels in intelligent measuring switches and metering boxes, which at least solves the technical problem of low on-site installation and commissioning efficiency of traditional intelligent measuring switches.

[0006] In a first aspect, embodiments of the present invention provide an intelligent measuring switch, comprising:

[0007] Metering unit, used to measure the electrical energy supplied to the metering box;

[0008] A storage unit is used to store the communication addresses of each energy meter in the metering box;

[0009] A communication unit is used to perform directional reading of each energy meter in the metering box according to the communication address stored in the storage unit, through carrier communication or wireless communication, to obtain the electrical energy of each energy meter.

[0010] The processing unit is configured to compare the sum of the electrical energy of each of the electricity meters in the same statistical period with the electrical energy measured by the metering unit in the same statistical period, and if the difference between the two meets a preset condition, determine that the electricity of the metering box is abnormal and generate an abnormal event.

[0011] In one embodiment of the present invention, the processing unit is further configured to:

[0012] Before storing the communication address of the electricity meter into the storage unit, the communication unit sends a verification command to the communication address, and upon receiving a response from the electricity meter corresponding to the communication address, stores the communication address into the storage unit.

[0013] In one embodiment of the present invention, after determining that the power of the metering box is abnormal, the processing unit is further configured to compare the sum of the electrical energy with the amount of electrical energy measured by the metering unit.

[0014] If the electrical energy measured by the metering unit is greater than the sum of the electrical energies, it is determined to be an electricity theft incident from the metering box;

[0015] If the sum of the electrical energy is greater than the electrical energy measured by the metering unit, it is determined to be an out-of-tolerance event of the electricity meter.

[0016] In one embodiment of the present invention, the communication unit is further configured to report the abnormal events generated by the processing unit to the acquisition master station.

[0017] In one embodiment of the present invention, a timing unit is further included; the timing unit is used to trigger the communication unit to perform the directional copying at a preset fixed period, wherein the statistical period is the period between two adjacent directional copying operations.

[0018] In one embodiment of the present invention, the processing unit is further configured to:

[0019] The response frame received by the communication unit is subjected to at least one of the following: frame format verification, address matching verification, check code verification, and data rationality verification. The electrical energy contained in the response frame that passes the verification is then summed.

[0020] In one embodiment of the present invention, a protection unit is further included; the protection unit is used to provide at least one of overload protection, short circuit protection, overvoltage protection and undervoltage protection for the line supplied to the metering box.

[0021] In one embodiment of the present invention, the processing unit is further configured to:

[0022] If the communication unit does not receive a response to the targeted reading of any energy meter, the energy of the corresponding energy meter in the corresponding statistical period is recorded as zero, a reading failure alarm is generated, and the communication unit is controlled to re-perform targeted reading of the energy meter in the next statistical period.

[0023] Secondly, embodiments of the present invention provide a method for monitoring abnormal power levels in a metering box, wherein the method employs the intelligent measuring switch described in any of the above embodiments for monitoring, and the method includes:

[0024] Based on the communication addresses of each energy meter stored inside the smart measuring switch and in the metering box, the energy meters are read in a targeted manner through carrier communication or wireless communication to obtain the energy of each energy meter during the statistical period.

[0025] The sum of the electrical energy of each of the aforementioned electricity meters is obtained to obtain the sum of the electrical energy of the electricity meters in the metering box during the statistical period;

[0026] The sum of the electrical energy is compared with the electrical energy supplied to the metering box during the same statistical period to obtain the difference between the two.

[0027] If the difference meets the preset conditions, the meter box power is determined to be abnormal and an abnormal event is generated.

[0028] In one embodiment of the present invention, the difference satisfying a preset condition includes: the ratio of the absolute value of the difference between the sum of electrical energy and the electrical energy measured by the metering unit to the electrical energy measured by the metering unit is greater than a preset threshold. After determining that the metering box power is abnormal and generating an abnormal event when the difference satisfies the preset condition, the method further includes:

[0029] If the electrical energy measured by the metering unit is greater than the sum of the electrical energies, it is determined to be an electricity theft incident from the metering box;

[0030] If the sum of the electrical energy is greater than the electrical energy measured by the metering unit, it is determined to be an out-of-tolerance event of the electricity meter.

[0031] This invention provides an intelligent metering switch with built-in energy meter files and a method for monitoring meter box anomalies. The intelligent metering switch integrates a storage unit to pre-configure or store the communication addresses of each energy meter within the meter box, forming a file that identifies the energy meters. During operation, the switch's communication unit uses the communication addresses in the file to perform targeted point-to-point readings of the energy meters within the meter box via carrier communication or wireless communication, thereby obtaining the energy consumption of each meter within the same statistical period. The processing unit then compares the sum of the energy consumption of each meter with its own measured energy consumption. When the difference meets preset conditions, it determines that the meter box's energy consumption is abnormal and generates an anomaly event. This establishes the logical boundary of the meter box electronically, solving the inconvenience of RS485 physical wiring and overcoming the difficulty of distinguishing between internal and external energy meters using carrier / wireless communication, thus achieving accurate and convenient monitoring of meter box energy consumption anomalies. Attached Figure Description

[0032] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0033] Figure 1 This is a schematic diagram of the structure of an intelligent measurement switch provided in an embodiment of the present invention.

[0034] Figure 2 This is a flowchart of the electricity meter file configuration provided in one embodiment of the present invention.

[0035] Figure 3 This is a flowchart illustrating a method for monitoring abnormal electricity levels in a metering box, provided in one embodiment of the present invention. Detailed Implementation

[0036] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0037] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the exemplary embodiments according to this application. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0038] Unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps described in these embodiments do not limit the scope of this application. It should also be understood that, for ease of description, the dimensions of the various parts shown in the drawings are not drawn to actual scale. Techniques, methods, and devices known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and devices should be considered part of the specification. In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limitations. Therefore, other examples of exemplary embodiments may have different values. It should be noted that similar reference numerals and letters in the following drawings denote similar items; therefore, once an item is defined in one drawing, it need not be further discussed in subsequent drawings.

[0039] In low-voltage power distribution systems, smart metering switches serve as core sensing and protection devices at the incoming line of metering boxes. One of their basic functions is to monitor abnormal power consumption within the metering box. A typical existing practice involves maintenance personnel physically connecting the smart metering switch to each energy meter within the metering box via an RS485 bus during installation and commissioning. After the switch is powered on, it polls and reads the energy data from each energy meter at a preset cycle, comparing it with the total energy consumption recorded by its own metering unit for the same period. If the difference exceeds a preset threshold, it is considered an abnormal power consumption event.

[0040] The key premise of this RS485 bus-based solution lies in the fact that, through the act of "physical wiring," the smart metering switch and its connected energy meter are naturally bound together as a monitoring unit within a "metering box." Data received by the switch through a specific RS485 physical interface can be reliably identified as originating from the energy meter inside this metering box, thereby ensuring the accuracy of subsequent energy consumption comparisons.

[0041] However, RS485 wiring presents numerous inconveniences during on-site construction. To eliminate physical wiring, a straightforward alternative is to use power line carrier or low-power wireless communication methods to read electricity meter data via search or broadcast commands. However, this approach immediately loses the boundary definition function provided by the physical connection. Specifically, power line carrier communication signals are transmitted along the distribution lines to adjacent metering boxes, and low-power wireless signals may cover multiple surrounding metering boxes. The smart metering switch cannot determine whether the responding meter is located inside or outside the metering box simply by receiving a communication response frame. This ambiguity in the identity of meters inside and outside the box leads to the smart metering switch potentially including data from external meters in the summation comparison incorrectly, or omitting data from internal meters that should be included. This distorts the basic data for electricity comparison, causing systemic misjudgments or omissions of abnormal events.

[0042] Based on this, this application provides a smart metering switch with built-in energy meter files and a method for monitoring meter box anomalies. The smart metering switch integrates a storage unit to pre-configure or store the communication addresses of each energy meter within the meter box, forming a file that identifies the energy meters. During operation, the switch's communication unit uses the communication addresses in the file to perform targeted point-to-point readings of the energy meters within the meter box via carrier communication or wireless communication, thereby obtaining the energy consumption of each meter within the same statistical period. The processing unit then compares the sum of the energy consumption of each meter with its own measured energy consumption. If the difference meets preset conditions, it determines that the meter box's energy consumption is abnormal and generates an anomaly event. Thus, through the technical means of "built-in files" and "targeted reading," the logical boundary of the meter box is established electronically, solving the inconvenience of RS485 physical wiring and overcoming the difficulty of carrier / wireless communication in distinguishing between internal and external energy meters, achieving accurate and convenient monitoring of meter box energy consumption anomalies.

[0043] Please see Figure 1 This application provides an intelligent metering switch. The intelligent metering switch is an intelligent power device that integrates circuit breaker protection and power measurement functions, and has the capability to monitor abnormal power levels in the metering box. Specifically, the intelligent metering switch can be installed at the inlet terminal of the low-voltage metering box, serving as a circuit protection device and a key sensing node for power IoT at the end of the distribution network.

[0044] The intelligent measurement switch includes a measurement unit, a storage unit, a communication unit, and a processing unit.

[0045] A metering unit is a device used to measure the electrical energy supplied to a metering box. Specifically, the metering unit can sample the voltage and current at the input terminal of the metering box, calculate and accumulate the active electrical energy supplied to the metering box in real time. For example, the metering unit can use a high-precision energy metering chip, support forward and reverse active energy metering, and summarize data according to a preset period to obtain the energy increment within each statistical period.

[0046] A storage unit is a device for storing data. Specifically, the storage unit can store the communication addresses of each energy meter within the metering box. A communication address is address information used to uniquely identify an energy meter in a communication network. For example, the communication address can be the energy meter's serial number or an address code specified according to a communication protocol. By storing the communication addresses of each energy meter within the metering box in the storage unit, a file defining the "identity of the energy meters within the box" is created. In some embodiments, the storage unit can be a non-volatile storage medium, such as a Nor Flash chip, so that the stored communication address information is not lost after the smart metering switch is powered off.

[0047] A communication unit is a device used for data interaction with external devices. Specifically, the communication unit can perform targeted readings of each energy meter in the metering box via carrier communication or wireless communication, based on the communication address stored in the storage unit, to obtain the electrical energy of each meter. Targeted reading refers to the process where the communication unit sends a reading instruction frame to a specific energy meter with the communication address in the storage unit as the target address, and receives the data response frame returned by the corresponding energy meter. Carrier communication can be a communication method that uses power lines as the transmission medium, such as narrowband or broadband power line carrier communication based on OFDM modulation.

[0048] Wireless communication can be a communication method that uses electromagnetic waves to transmit in space, such as low-power wireless communication based on the 470MHz~510MHz frequency band. By performing targeted reading based on the communication address pre-configured in the storage unit, rather than performing indiscriminate broadcast or scanning reading, it can be ensured that data is acquired only from the energy meters inside the metering box, avoiding crosstalk from energy meters outside the metering box. Thus, while eliminating the need for physical RS485 wiring, the monitoring boundary of the metering box is precisely defined electronically.

[0049] The processing unit is a device used to perform data processing and logical judgment. Specifically, the processing unit may include a microprocessor. The processing unit is configured to compare the sum of the electrical energy of each energy meter acquired by the communication unit within the same statistical time period with the electrical energy measured by the metering unit within the same statistical time period. If the difference between the two meets a preset condition, the processing unit determines that the metering box's power consumption is abnormal and generates an abnormal event. The statistical time period refers to a time interval for comparing electrical energy. For example, the statistical time period can be the time interval between two adjacent directional readings. Meeting the preset condition can be the ratio of the absolute value of the difference between the electrical energy measured by the metering unit and the sum of the electrical energy of each energy meter to the electrical energy measured by the metering unit is greater than a preset threshold. This preset threshold can be set according to factors such as the allowable range of line loss of the metering box and the allowable range of equipment metering accuracy. An abnormal event refers to recorded information reflecting a deviation of the metering box's operating status from normal. For example, an abnormal event may include a metering box electricity theft event or an energy meter out-of-tolerance event.

[0050] The intelligent metering switch provided in this application embodiment pre-configures and stores the communication addresses of each energy meter in the metering box through a storage unit. Then, the communication unit performs targeted reading based on the communication address, and the processing unit performs energy comparison and anomaly judgment. This eliminates the need for RS485 physical wiring, improves the convenience of on-site installation and wiring standardization, and solves the technical problem of not being able to distinguish between energy meters inside and outside the metering box under carrier or wireless communication methods. It realizes accurate and automated monitoring of abnormal power levels in the metering box.

[0051] like Figure 2As shown, in some embodiments, the processing unit is further configured to send a verification command to the communication address via the communication unit before storing the communication address of the energy meter into the storage unit, and to store the communication address into the storage unit upon receiving a response from the energy meter corresponding to the communication address.

[0052] In this embodiment, before writing the communication address into the storage unit to form a file, the processing unit first performs a validity verification of the communication address. The verification instruction is used to confirm whether the target energy meter actually exists and whether the communication link is normal. For example, the verification instruction can be a meter calibration instruction frame conforming to the DL / T 698 communication protocol. Specifically, when the processing unit receives the communication address to be entered from the data acquisition master station remotely or configured on-site via Bluetooth module, it does not immediately store it in the storage unit, but first sends a verification instruction to the power line carrier or wireless channel with the communication address as the target address through the communication unit.

[0053] If the energy meter corresponding to the communication address does indeed exist in the metering box and its communication function is normal, the energy meter will parse the verification command and return a response frame. The response frame may contain information such as the energy meter model and metering accuracy. After receiving the response frame through the communication unit, the processing unit confirms that the communication address corresponds to an actual and communicable energy meter, and then stores the communication address in the storage unit, completing the effective establishment of the file.

[0054] Conversely, if the processing unit does not receive any response frame within the preset waiting time after sending the verification command, it indicates that the energy meter corresponding to the communication address does not exist, the communication link is abnormal, or the address information is incorrect. In this case, the processing unit can generate an error code of "Invalid Address - No Meter Response" and feed it back to the configuration initiator through the communication unit or Bluetooth module, prompting the maintenance personnel to perform on-site verification or re-entry, thereby avoiding storing invalid addresses in the archive.

[0055] Through the above verification mechanism, it can be ensured that the communication address files stored in the storage unit correspond one-to-one with the actual electricity meters installed in the metering box, providing a reliable data foundation for the subsequent communication unit to perform accurate targeted reading based on the files, reducing the probability of reading failure or abnormal misjudgment due to incorrect file information, and improving the accuracy of electricity abnormality monitoring in the metering box.

[0056] In some embodiments, after determining that the power consumption of the metering box is abnormal, the processing unit is further configured to compare the sum of the electrical energy of each electricity meter in the same statistical period with the electrical energy measured by the metering unit in the same statistical period. If the electrical energy measured by the metering unit is greater than the sum of the electrical energy, it is determined to be an electricity theft event in the metering box; if the sum of the electrical energy is greater than the electrical energy measured by the metering unit, it is determined to be an electricity meter out-of-tolerance event.

[0057] In this embodiment, the processing unit performs further classification and determination on abnormal power events to distinguish the specific type of abnormal event. Specifically, after confirming that the difference meets the preset conditions and that the power of the metering box is abnormal, the processing unit does not stop at a general abnormal alarm, but further compares the sum of electrical energy with the electrical energy measured by the metering unit to determine the type of abnormal event.

[0058] A meter box electricity theft incident refers to an abnormal event in which electrical energy is bypassed from the electricity meter and directly used within the meter box. Specifically, the metering unit measures the total electrical energy supplied to the meter box's inlet, representing the total amount of electricity actually consumed within the meter box; while the sum of the electrical energy measured by each electricity meter represents the amount of electricity measured by the meters. When the electrical energy measured by the metering unit is greater than the sum of the electrical energy measured by each electricity meter, it indicates that a portion of the electrical energy supplied to the meter box has not been measured by any electricity meter, i.e., there is electricity theft such as unauthorized wiring or bypassing the meter. The processing unit determines this as a meter box electricity theft incident.

[0059] An electricity meter out-of-tolerance event refers to an abnormal event in which at least one electricity meter in the metering box has a positive measurement error exceeding the allowable range. Specifically, when the sum of the electrical energy of all electricity meters is greater than the electrical energy measured by the metering unit, it indicates that the total amount of electricity recorded by the meters exceeds the actual total amount of electricity supplied to the metering box, and exceeds the range that can be explained by normal line losses and equipment measurement errors. This indicates that at least one electricity meter has a positive out-of-tolerance measurement performance, resulting in its recorded electricity being higher than expected. The processing unit determines this as an electricity meter out-of-tolerance event.

[0060] Through the aforementioned two-level judgment logic—that is, after the first-level judgment confirms the anomaly, the second-level judgment further distinguishes the type of the abnormal event—the smart metering switch can not only detect abnormal electricity consumption in the metering box but also accurately identify the nature of the anomaly. This provides a clear direction for subsequent operation and maintenance: for metering box electricity theft incidents, the focus can be on investigating the compliance of the power lines; for electricity meter out-of-tolerance incidents, the focus can be on on-site verification of the electricity meters inside the metering box. This improves the targeting and efficiency of abnormal event handling.

[0061] In some embodiments, the communication unit is further configured to report abnormal events generated by the processing unit to the acquisition master station.

[0062] In this embodiment, the communication unit, in addition to performing targeted readings of the electricity meters in the metering box, also undertakes the function of actively reporting abnormal events. The data acquisition master station is a remote monitoring and management platform located on the power system management side, used to receive, store, and process electricity consumption information and abnormal alarm data uploaded from the concentrators of each distribution area. Specifically, when the processing unit generates an abnormal event after comparison and determination, the abnormal event is not simply stored locally on the smart metering switch awaiting query, but rather the processing unit encapsulates the abnormal event information according to a preset data format and hands it over to the communication unit to actively initiate reporting.

[0063] The communication unit can forward encapsulated abnormal event information to the data acquisition master station via power line carrier communication or wireless communication. For example, the communication unit can send abnormal event frames containing information such as event number, event type, occurrence time, switch metering data, total energy meter data, and differential ratio to the concentrator via power line carrier according to the DL / T 698 communication protocol, and then the concentrator can forward them to the data acquisition master station via the public wireless network.

[0064] After receiving abnormal event information, the main station can automatically parse and trigger the corresponding alarm handling process, such as sending SMS alarms to the mobile terminal of the area manager or generating maintenance work orders, thereby realizing rapid response and closed-loop management of abnormal events.

[0065] By integrating the proactive reporting function of abnormal events into the communication unit, the smart metering switch is upgraded from a simple local monitoring node to an IoT sensing terminal with remote proactive alarm capabilities. This shortens the time delay from the occurrence of an anomaly to the awareness of maintenance personnel, and improves the timeliness and efficiency of monitoring and handling abnormal electricity levels in the metering box.

[0066] In some embodiments, please refer to Figure 1 The intelligent measurement switch also includes a timing unit. The timing unit is used to trigger the communication unit to perform directional reading at a preset fixed period, and the statistical period is the period between two adjacent directional readings.

[0067] In this embodiment, the timing unit is a device that provides a timed triggering function for the intelligent measurement switch. Specifically, the timing unit may include a real-time clock, used to send a reading trigger command to the processing unit or communication unit at a preset fixed period to initiate a complete directional reading process. The preset fixed period refers to a pre-set time interval between two adjacent directional reading trigger times. For example, the fixed period can be set to 4 hours, and the timing unit triggers the reading task at times such as 00:00, 04:00, 08:00, 12:00, 16:00, and 20:00 every day. Of course, the fixed period can also be configured remotely or on-site according to actual monitoring needs, such as adjusting it to 2 hours, 6 hours, or 8 hours, to adapt to the power load characteristics and monitoring sensitivity requirements of different transformer areas.

[0068] Based on the fixed-cycle triggering of the timing unit, the statistical period is naturally defined as the period between two adjacent targeted readings. Specifically, when the timing unit triggers the communication unit to perform targeted reading at the current trigger time, the communication unit obtains the accumulated energy increment of each energy meter within the period from the last trigger time to the current trigger time; simultaneously, the metering unit also records the energy increment supplied to the metering box within the same period. Therefore, the processing unit can compare the sum of the energy of each energy meter within this period with the energy measured by the metering unit to perform an anomaly determination for the electricity consumption within this statistical period. For example, if the timing unit triggers the reading task at 08:00, the current statistical period is a 4-hour period from 04:00 to 08:00, and the data used for comparison are all energy increments within these 4 hours.

[0069] By setting the timing unit to trigger directional reading at a preset fixed period, the intelligent measurement switch can continuously, regularly, and automatically monitor the power abnormality of the meter box. It can periodically acquire comparison data and perform anomaly judgment without manual intervention, ensuring the continuity of the monitoring process and the uniformity of data sampling. This provides a reliable time reference for accurately capturing possible electricity theft or out-of-tolerance behavior at different times.

[0070] In some embodiments, the processing unit is further configured to perform at least one of frame format verification, address matching verification, checksum verification, and data rationality verification on the response frame received by the communication unit, and to sum the electrical energy contained in the verified response frame.

[0071] In this embodiment, before using the data in the response frame received by the communication unit for summing electrical energy, the processing unit first performs multi-dimensional data verification on the response frame to ensure the accuracy and reliability of the copied data used for anomaly detection.

[0072] Frame format verification refers to verifying whether the frame structure of a response frame conforms to the communication protocol specifications. Specifically, the processing unit can determine whether the start-of-frame and end-of-frame symbols of the response frame are correct, and whether the length of the data field matches the protocol specifications. If the frame format verification fails, it indicates that the response frame may have experienced frame loss or format errors during transmission, and the frame data should be discarded.

[0073] Address matching verification refers to verifying whether the source address in the response frame matches the target communication address for this targeted meter reading. Specifically, when the communication unit sends the meter reading command, it uses a certain communication address in the storage unit as the target address. The processing unit can determine whether the electricity meter address carried in the received response frame is the same as the target address. If the addresses do not match, it indicates that the response frame may be due to crosstalk from other electricity meters, and the data in this frame should be discarded.

[0074] Checksum verification refers to verifying the integrity of the transmitted data field in the response frame. Specifically, the processing unit can recalculate the checksum for the data field of the response frame and compare the calculated result with the checksum carried in the response frame. For example, the checksum can use CRC16 cyclic redundancy check. If the checksums do not match, it indicates that a bit error occurred during data transmission, and the frame data should be discarded.

[0075] Data rationality verification refers to judging the rationality of the numerical range of electrical energy data contained in the response frame. Specifically, the processing unit can determine whether the electrical energy reading is non-negative, whether it is within the reasonable metering range of the electricity meter, and whether there are any abnormal changes compared to the previous reading. For example, the unit of electrical energy reading on the electricity meter is kWh, and the reasonable numerical range can be 0 to 999999.99 kWh. If the data exceeds the reasonable range or has unreasonable jumps, the data frame should be discarded.

[0076] The processing unit only includes the energy data contained in response frames that have passed all the above checks in the calculation of the sum of energy from all energy meters within the same statistical period. For any response frame that fails the check, the data contained therein is not included in the summation.

[0077] By setting up a multi-dimensional data verification mechanism, invalid or erroneous data caused by factors such as communication interference, crosstalk, bit errors, or meter malfunctions can be effectively identified and eliminated, ensuring that the energy data of each energy meter used for energy comparison is true and accurate, thereby improving the reliability of the meter box's energy anomaly judgment and reducing the false alarm rate of abnormal events.

[0078] In some embodiments, please refer to Figure 1 The intelligent measuring switch also includes a protection unit. The protection unit is used to provide at least one of the following protections for the circuit supplied to the metering box: overload protection, short circuit protection, overvoltage protection, and undervoltage protection.

[0079] In this embodiment, the protection unit is a device used to ensure the safe operation of the power distribution line. Specifically, the protection unit works in conjunction with the metering unit, processing unit, etc., so that the intelligent measuring switch can realize the function of monitoring abnormal power consumption of the metering box while still retaining the basic circuit protection capabilities that a traditional circuit breaker should have.

[0080] Overload protection refers to the function of triggering protection to disconnect the line when the current supplied to the metering box exceeds a certain multiple of the rated current for a specific duration. For example, the protection unit can be set with long-delay overload protection characteristics. The overload protection operating current setting value can be 1.0 to 1.4 times the rated current, and the operating time shortens inversely as the overload current increases, in order to match the thermal tolerance characteristics of the line and load.

[0081] Short-circuit protection refers to the function of triggering protection to quickly disconnect the faulty line when a short-circuit fault occurs and the current increases sharply. For example, the protection unit can be set with two protection characteristics: short-delay protection and instantaneous protection. The former is used to operate after a short delay when the short-circuit current is small, so as to achieve selective coordination with the downstream protection; the latter is used to operate instantaneously when the short-circuit current is extremely large, so as to minimize the fault duration and ensure the safety of equipment and personnel.

[0082] Overvoltage protection refers to the function of triggering protection to disconnect the line when the voltage supplied to the metering box exceeds a preset overvoltage setting value. For example, the overvoltage protection setting value can be set to 270V±5V. When the line voltage continues to exceed this setting value, the protection unit will activate after a preset delay to prevent damage to the energy meter in the metering box and the user's electrical equipment due to overvoltage.

[0083] Undervoltage protection refers to the function of triggering protection to disconnect the line when the voltage supplied to the metering box is lower than the preset undervoltage setting value. For example, the undervoltage protection setting value can be set to 180V±5V. When the line voltage continues to be lower than this setting value, the protection unit will activate after a preset delay to prevent motor loads from stalling or equipment from malfunctioning due to low voltage.

[0084] By integrating the protection unit into the intelligent metering switch, the switch combines abnormal power monitoring and circuit protection functions. While realizing intelligent management functions such as preventing electricity theft from the metering box and controlling line loss, it can still serve as the main protection device at the incoming line to ensure the safe operation of the power distribution line, thereby improving the functional integration and engineering application value of the equipment.

[0085] In some embodiments, the processing unit is further configured to, if the communication unit does not receive a response to the directional reading of any energy meter, record the energy of the corresponding energy meter as zero in the corresponding statistical period, generate a reading failure alarm, and control the communication unit to re-perform directional reading of the energy meter in the next statistical period.

[0086] In this embodiment, the processing unit has set up corresponding fault-tolerant processing and remedial mechanisms for possible communication failures during targeted meter reading. Specifically, when the communication unit sends a targeted meter reading command to a certain energy meter based on the communication address in the storage unit, it may fail to receive a response frame from the energy meter within a preset waiting time due to reasons such as a failure of the energy meter's communication module, instantaneous attenuation of the power line carrier channel, power outage of the energy meter, or invalidation of the communication address. At this time, the processing unit does not interrupt or suspend the entire energy anomaly determination process, but performs the following processing on the meter reading failure.

[0087] First, the processing unit records the energy consumption of the electricity meter for the current statistical period as zero. The purpose of this processing method is to ensure that the calculation of the sum of the energy consumption of each electricity meter can be completed normally, so that the processing unit can still perform energy consumption comparison and anomaly detection based on the existing valid reading data, and avoid the monitoring process of the entire statistical period being interrupted due to the communication failure of a single electricity meter.

[0088] Secondly, the processing unit generates a meter reading failure alarm. This alarm is used to alert maintenance personnel to the communication status of a specific electricity meter. The alarm can be recorded in the local log and reported to the main data acquisition station via the communication unit, enabling maintenance personnel to promptly identify any communication anomalies in a particular electricity meter within the metering box, providing a basis for subsequent on-site troubleshooting and fault handling.

[0089] Next, the processing unit controls the communication unit to re-read the energy meter in the next statistical period. Specifically, the processing unit can mark the communication address as pending retry and, when the timing unit triggers the next fixed-cycle reading task, continue to include the communication address in the target address list for targeted reading, attempting to obtain its energy data again. If the retry is successful, the normal data acquisition and summation process is restored; if the retry still fails, the above-mentioned zero-recording, alarm, and retry processing logic is repeated.

[0090] Through the above-mentioned fault-tolerant processing and remedial mechanisms, the smart metering switch can still maintain the continuous operation of the metering box's abnormal power monitoring function even in the event of communication abnormalities in individual energy meters, avoiding monitoring interruptions caused by single-point failures. At the same time, the generation of reading failure alarms and the automatic retry mechanism also take into account the timely reporting of abnormal situations and the system's self-healing capabilities, improving the robustness and ease of operation and maintenance of the monitoring system.

[0091] In some embodiments, please refer to Figure 3 This application also provides a method for monitoring abnormal power levels in a metering box. This method can be implemented using the intelligent metering switch described in any of the foregoing embodiments. Specifically, the intelligent metering switch includes a metering unit, a storage unit, a communication unit, a processing unit, and optionally a timing unit and a protection unit. This method can be implemented by the processing unit of the intelligent metering switch executing internally stored program instructions. The method may include the following steps.

[0092] Step S210: Based on the communication addresses of each energy meter stored inside the smart metering switch and in the metering box, perform targeted reading of each energy meter through carrier communication or wireless communication to obtain the electrical energy of each energy meter during the statistical period.

[0093] In this embodiment, targeted meter reading refers to the process of sending meter reading command frames one by one to each of the pre-configured communication addresses of the energy meters in the storage unit and receiving response frames returned by the corresponding energy meters. The statistical period refers to a time interval for energy comparison. For example, when the smart metering switch includes a timing unit, the statistical period can be the period between two adjacent targeted meter readings triggered by the timing unit at a preset fixed cycle. The communication unit can send meter reading command frames using power line carrier communication or low-power wireless communication, etc. The meter reading command frame can contain the communication address of the target energy meter and the identifier of the data item to be read, such as the total active energy reading. After receiving a meter reading command frame with a matching address, the energy meter returns a response frame containing its energy data for that statistical period.

[0094] Step S220: Sum the electrical energy of each electricity meter to obtain the sum of the electrical energy of the electricity meters in the metering box during the statistical period.

[0095] In this embodiment, the processing unit extracts the energy data of each energy meter within the statistical period from each verified response frame, and adds up the energy data to obtain the sum of the energy.

[0096] Step S230: Compare the sum of electrical energy with the electrical energy supplied to the metering box measured by the metering unit during the same statistical period to obtain the difference between the two.

[0097] In this embodiment, the electrical energy measured by the metering unit is the increase in total active electrical energy supplied to the metering box during the statistical period, collected by the intelligent measuring switch at the metering box's inlet terminal. Comparison refers to calculating the difference between the sum of electrical energy and the electrical energy measured by the metering unit, and obtaining an index characterizing the degree of difference based on this difference. For example, the difference could be the ratio of the absolute value of the difference to the electrical energy measured by the metering unit.

[0098] Step S240: If the difference meets the preset conditions, determine that the meter box power is abnormal and generate an abnormal event.

[0099] Preset conditions are criteria used to determine whether a difference constitutes an anomaly. For example, a preset condition could be that the ratio of the difference is greater than a preset threshold, which can be set based on factors such as the allowable range of line loss of the metering box and the allowable range of equipment metering accuracy. When the difference meets the preset conditions, the processing unit determines that there is an abnormal power consumption in the metering box during the current statistical period and generates a corresponding abnormal event.

[0100] The above method enables targeted data reading based on the communication address file stored inside the switch, eliminating the need for physical RS485 wiring. This electronically defines the monitoring boundary of the metering box, allowing data acquisition and power comparison only of the electricity meter inside the box, ensuring the accuracy of the comparison data and thus achieving precise and automated monitoring of abnormal power levels in the metering box.

[0101] In some embodiments, the difference meeting the preset conditions includes: the ratio of the absolute value of the difference between the sum of electrical energy and the electrical energy measured by the metering unit to the electrical energy measured by the metering unit is greater than a preset threshold. After step S240, the metering box power abnormality monitoring method may further include the following steps.

[0102] Step S251: If the electrical energy measured by the metering unit is greater than the sum of electrical energies, it is determined to be an electricity theft incident by the metering box.

[0103] Step S252: If the sum of electrical energy is greater than the electrical energy measured by the metering unit, it is determined to be an out-of-tolerance event of the electricity meter.

[0104] In this embodiment, the preset condition is a quantitative criterion used to determine whether a difference constitutes an abnormal power consumption. Specifically, the difference is not an absolute value, but rather a relative difference ratio as the criterion. The relative difference ratio can be calculated using the following formula: ,in, The electrical energy measured by the metering unit within the same statistical period. This represents the sum of the electrical energy consumed by each electricity meter during the statistical period. This represents the relative difference ratio.

[0105] A preset threshold is a critical value that distinguishes the relative difference between normal operation and abnormal power consumption. The preset threshold can be set comprehensively based on factors such as the allowable range of line loss in the metering box, the allowable range of metering accuracy of the equipment, and actual on-site operating data. For example, the line loss rate in a low-voltage metering box should generally be controlled within a certain range. The metering accuracy of the smart metering switch and the metering accuracy of the energy meter each have their own allowable error ranges, and the combined error of both is still within a controllable range. Through on-site measurements of low-voltage metering boxes in multiple distribution areas, the relative difference ratio under normal operation is usually stable at a low level, while the relative difference ratio under abnormal conditions such as electricity theft or energy meter exceeding tolerance is much higher. Therefore, the preset threshold can be set to a reasonable value that can effectively distinguish between normal and abnormal states, such as 5%.

[0106] Of course, this preset threshold can also be flexibly adjusted remotely or on-site according to the actual operating conditions such as the line loss characteristics and equipment metering accuracy of different distribution areas. For example, it can be personalized according to the line loss characteristics and equipment metering accuracy of different distribution areas, with an adjustment range of 3% to 10%, to meet the judgment requirements of different scenarios.

[0107] When the calculated relative difference ratio When the difference exceeds the preset threshold, it indicates that the difference has exceeded the normal range and meets the preset conditions. Based on this, the processing unit determines that the meter box power is abnormal and generates an abnormal event.

[0108] After identifying an anomaly, the method further performs a step to distinguish the type of anomaly event. Specifically, when the electrical energy measured by the metering unit is greater than the sum of electrical energies, it indicates that a portion of the total electrical energy supplied to the metering box has not been measured by any electricity meter, suggesting electricity theft such as unauthorized wiring or bypassing meters; therefore, it is determined to be a metering box electricity theft event. When the sum of electrical energies is greater than the electrical energy measured by the metering unit, it indicates that the total amount of electricity recorded by the electricity meters exceeds the actual total amount of electricity supplied to the metering box, and the excess cannot be explained by normal line losses and equipment measurement errors, indicating that at least one electricity meter has a positive measurement error; therefore, it is determined to be an electricity meter error event.

[0109] The above method refines anomaly detection into two levels of processing: the first level distinguishes between normal and abnormal conditions by comparing the relative difference ratio with a preset threshold; the second level accurately classifies the type of abnormal event by comparing the sum of the switched-metered electricity consumption and the metered electricity consumption. This not only enables timely detection of electricity anomalies in the metering box but also accurately identifies the nature of the anomaly, providing clear guidance for subsequent targeted maintenance and handling, and improving the intelligence level of electricity anomaly monitoring in the metering box.

[0110] In one specific embodiment, the present invention classifies abnormal events into two categories based on the relative difference ratio η and the relationship between the total energy increment of the energy meter and the switch metering increment. The judgment logic is a two-level judgment: the first level determines whether the relative difference ratio exceeds a threshold, and the second level determines the relationship between the total energy increment of the energy meter and the switch metering increment, thereby achieving accurate classification of abnormal events. The specific judgment logic is as follows:

[0111] Level 1 Judgment (Normal / Abnormal Judgment): Calculate the relative difference ratio. Then, it will be compared with a 5% threshold:

[0112] like ≤5%: The system is considered to be operating normally. The switch will record the data read and the judgment result to the local log and wait for the next data reading task.

[0113] like >5%: This is considered an abnormal power level and proceeds to the second level of assessment to distinguish the type of abnormal event.

[0114] Second-level judgment (abnormal event type judgment): Based on the first-level judgment that the power is abnormal, compare the values ​​of the main meter and the switch:

[0115] like The main meter was identified as a case of electricity theft in the metering box because the total amount of electricity measured by the meter inside the box was less than the total amount of incoming electricity measured by the switch. This meant that some electricity was not measured by the meter, which constitutes electricity theft (including unauthorized wiring, meter tampering, and bypassing the meter for electricity use).

[0116] like The event was determined to be an out-of-tolerance event for electricity meters. The reason is that the total amount of electricity measured by the electricity meters in the box is greater than the total amount of incoming electricity measured by the switch, which exceeds the normal line loss and metering error range. This indicates that at least one electricity meter has a metering error (excessive positive error), and the meter needs to be calibrated on-site.

[0117] Based on the actual data read during a statistical period, from 04:00 to 08:00 on January 15, 2025, a demonstration of normal status determination is conducted. The specific steps are as follows:

[0118] Data substitution: kWh, Substituting kWh into the absolute interpolation formula: ΔE = |10.20−9.94| = 0.26kWh. The relative difference ratio is calculated as: η = 2.55%. That is, for the first-level judgment, η = 2.55% ≤ 5%, the operation is considered normal, and there is no need to proceed to the second-level judgment. The switch records the data read, calculation results, and judgment result (normal) to the local log. The log information includes: 2025-01-15 08:00. =10.20kWh, =9.94kWh, η=2.55%, judgment result=normal, line loss rate=2.55% (consistent with the relative difference ratio).

[0119] The result of this assessment is normal, indicating that there was no electricity theft in the metering box between 04:00 and 08:00, the electricity meter reading is normal, and the line loss rate is 2.55%.

[0120] To verify the effectiveness of the electricity theft determination, this implementation method simulates a scenario where electricity theft occurs in the meter box. A data reading task at 12:00 on January 15, 2025 (triggered at 12:00, reading data from 08:00 to 12:00) is selected to simulate data reading under electricity theft conditions. The specific implementation steps are as follows:

[0121] Simulated meter reading data: Assume there is electricity theft within the metering box, with a stolen load of 500W lasting for 4 hours, resulting in a stolen electricity consumption of 0.5kW × 4h = 2.0kWh. This portion of electricity is not measured by any electricity meter, therefore the total increment of the electricity meter in the box remains unchanged. The total increment of the incoming line measured by the switch includes the stolen electricity consumption. The simulated meter reading data is as follows:

[0122] Total increment of 4 electricity meters kWh (consistent with normal conditions);

[0123] Intelligent measurement switch measures incremental =12.2kWh (including normal electricity consumption of 10.20kWh + stolen electricity of 2.0kWh);

[0124] Absolute difference: ΔE = |12.20−9.94| = 2.26 kWh;

[0125] Relative difference ratio: η = 18.52%;

[0126] Level 2 judgment:

[0127] Level 1 judgment: η=18.52%>5%, judged as abnormal power consumption;

[0128] Second-level judgment: This was determined to be an electricity theft incident involving the meter box;

[0129] Event Information Generation: The switch generates standardized information for electricity theft events, including event number, event type, occurrence time, switch metering data, total electricity meter data, difference ratio, and estimated electricity theft amount. Specific information is as follows: Event Number: YC-20250115-1200-001, Event Type: Meter Box Electricity Theft Event, Occurrence Time: 2025-01-15 08:00-12:00. =12.20kWh, =9.94kWh, η=18.52%, estimated electricity theft = 2.26kWh.

[0130] To verify the effectiveness of the electricity meter out-of-tolerance event determination, this implementation method simulates a scenario where meter 1 in the metering box has an out-of-tolerance measurement. A meter reading task at 16:00 on January 15, 2025 (triggered at 16:00, reading data from 12:00 to 16:00) is selected to simulate the meter reading data under the out-of-tolerance condition. The specific implementation steps are as follows:

[0131] Simulated meter reading data: Assuming meter 1 experiences a +20% positive metering error due to an internal component malfunction, meaning the actual metering increment is 2.66 kWh, the meter displays an increment of 2.66 × (1 + 20%) = 3.19 kWh. Other meters and the switch are functioning normally. The simulated meter reading data is as follows:

[0132] Table 1 increment: 3.19 kWh, Table 2 increment: 2.27 kWh, Table 3 increment: 2.56 kWh, Table 4 increment: 2.45 kWh, total increment: 10.47 kWh;

[0133] Intelligent measurement switch measures incremental kWh (normal measurement, no error);

[0134] Absolute difference: ΔE = |10.20−10.47| = 0.27 kWh;

[0135] Relative difference ratio: η=2.65% (for a single meter exceeding the tolerance by 20%, the difference ratio is still ≤5%; simulating multiple meters exceeding the tolerance).

[0136] Adjusting the simulated data: Assuming that both Meters 1 and 2 show a positive measurement error of +20%, the simulated reading data is as follows:

[0137] Table 1 increment: 3.19 kWh, Table 2 increment: 2.72 kWh, Table 3 increment: 2.56 kWh, Table 4 increment: 2.45 kWh, total increment: 10.92 kWh;

[0138] The intelligent metering switch measures an increment of 10.2 kWh.

[0139] Recalculated: Absolute difference: ΔE = |10.20−10.92| = 0.72 kWh; Relative difference ratio: η = 7.06%;

[0140] Level 2 Judgment: Level 1 Judgment: η=7.06%>5%, judged as abnormal power consumption; Level 2 Judgment: kWh> kWh, determined to be an out-of-range event for electricity meters;

[0141] Event Information Generation: Standardized information for switch-generated out-of-tolerance events, including event number, event type, occurrence time, switch metering data, total electricity meter data, and difference ratio. Specific information is as follows: Event Number: CC-20250115-1600-001, Event Type: Electricity Meter Out-of-Tolerance Event, Occurrence Time: 2025-01-15 12:00-16:00. =10.20kWh, =10.92kWh, η=7.06%.

[0142] Upon determining that an event is electricity theft from a metering box or an out-of-tolerance meter event, an active event reporting mechanism will be activated. Through a three-tiered communication link of "switch-concentrator-data acquisition master station," the abnormal event information will be reported to the data acquisition master station in a standardized format. Upon receiving the abnormal event information, the data acquisition master station will immediately send an SMS alarm to the area manager's mobile terminal, enabling rapid response and handling of abnormal events. The entire reporting and alarm process has a response time of ≤30 seconds, significantly improving the efficiency of abnormal event processing. This implementation method, combined with the simulated electricity theft and out-of-tolerance meter events described above, elaborates in detail on the communication link, data format, reporting process, and SMS alarm content and sending mechanism for abnormal event reporting.

[0143] In this invention, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating the relative importance of the indicated features or the number of indicated technical features. Therefore, a feature defined as "first" or "second" can explicitly include at least one of that feature. In this application, "a plurality of" means at least two, such as two, three, etc.; "several" means at least one, such as one, two, three, etc., unless otherwise explicitly specified.

[0144] In this invention, unless otherwise explicitly defined, the terms "installation," "connection," "linking," "fixing," and "setting," etc., should be interpreted broadly. For example, "connection" can be a fixed connection, a detachable connection, or an integral part; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can also refer to the internal communication of two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this application according to the specific circumstances.

[0145] It should be understood that the above embodiments are exemplary and are not intended to encompass all possible implementations included in the claims. Various modifications and changes can be made to the above embodiments without departing from the scope of this disclosure. Similarly, the various technical features of the above embodiments can be arbitrarily combined to form other embodiments of this application that may not be explicitly described. Therefore, the above embodiments only illustrate several implementations of this application and do not limit the scope of protection of this patent application.

Claims

1. An intelligent measuring switch, characterized in that, include: Metering unit, used to measure the electrical energy supplied to the metering box; A storage unit is used to store the communication addresses of each energy meter in the metering box; A communication unit is used to perform directional reading of each energy meter in the metering box according to the communication address stored in the storage unit, through carrier communication or wireless communication, to obtain the electrical energy of each energy meter. The processing unit is configured to compare the sum of the electrical energy of each of the electricity meters in the same statistical period with the electrical energy measured by the metering unit in the same statistical period, and if the difference between the two meets a preset condition, determine that the electricity of the metering box is abnormal and generate an abnormal event.

2. The intelligent measuring switch according to claim 1, characterized in that, The processing unit is further configured to: Before storing the communication address of the electricity meter into the storage unit, the communication unit sends a verification command to the communication address, and upon receiving a response from the electricity meter corresponding to the communication address, stores the communication address into the storage unit.

3. The intelligent measuring switch according to claim 1, characterized in that, After determining that the power of the metering box is abnormal, the processing unit is also configured to compare the sum of the electrical energy with the amount of electrical energy measured by the metering unit. If the electrical energy measured by the metering unit is greater than the sum of the electrical energies, it is determined to be an electricity theft incident from the metering box; If the sum of the electrical energy is greater than the electrical energy measured by the metering unit, it is determined to be an out-of-tolerance event of the electricity meter.

4. The intelligent measuring switch according to claim 1, characterized in that, The communication unit is also used to report abnormal events generated by the processing unit to the main acquisition station.

5. The intelligent measuring switch according to claim 1, characterized in that, It also includes a timing unit; the timing unit is used to trigger the communication unit to perform the directional copying at a preset fixed period, and the statistical period is the period between two adjacent directional copyings.

6. The intelligent measuring switch according to claim 1, characterized in that, The processing unit is further configured to: The response frame received by the communication unit is subjected to at least one of the following: frame format verification, address matching verification, check code verification, and data rationality verification. The electrical energy contained in the response frame that passes the verification is then summed.

7. The intelligent measuring switch according to claim 1, characterized in that, It also includes a protection unit; the protection unit is used to provide at least one of overload protection, short circuit protection, overvoltage protection and undervoltage protection for the lines supplied to the metering box.

8. The intelligent measuring switch according to claim 1, characterized in that, The processing unit is further configured to: If the communication unit does not receive a response to the targeted reading of any energy meter, the energy of the corresponding energy meter in the corresponding statistical period is recorded as zero, a reading failure alarm is generated, and the communication unit is controlled to re-perform targeted reading of the energy meter in the next statistical period.

9. A method for monitoring abnormal electricity levels in a metering box, characterized in that, The method employs the intelligent measuring switch according to any one of claims 1 to 8 for monitoring, and the method includes: Based on the communication addresses of each energy meter stored inside the smart measuring switch and in the metering box, the energy meters are read in a targeted manner through carrier communication or wireless communication to obtain the energy of each energy meter during the statistical period. The sum of the electrical energy of each of the aforementioned electricity meters is obtained to obtain the sum of the electrical energy of the electricity meters in the metering box during the statistical period; The sum of the electrical energy is compared with the electrical energy supplied to the metering box during the same statistical period to obtain the difference between the two. If the difference meets the preset conditions, the meter box power is determined to be abnormal and an abnormal event is generated.

10. The method for monitoring abnormal electricity levels in a metering box according to claim 9, characterized in that, The difference meeting the preset conditions includes: the absolute value of the difference between the sum of electrical energy and the electrical energy measured by the metering unit, and the ratio of the difference to the electrical energy measured by the metering unit, are greater than a preset threshold. After determining that the metering box's power is abnormal and generating an abnormal event when the difference meets the preset conditions, the method further includes: If the electrical energy measured by the metering unit is greater than the sum of the electrical energies, it is determined to be an electricity theft incident from the metering box; If the sum of the electrical energy is greater than the electrical energy measured by the metering unit, it is determined to be an out-of-tolerance event of the electricity meter.

Images