Safety monitoring system and method for intelligent electric meter

Abstract

The invention relates to the technical field of intelligent electric meter monitoring, and discloses a safety monitoring system and method for an intelligent electric meter, and the method comprises the steps: obtaining target power utilization data, historical power utilization data and judged power utilization data, forming judgment data, forming abnormal judgment data, judging whether an abnormal circuit is obtained or not, and carrying out the power-off alarm of the abnormal circuit. According to the safety monitoring system and method for the intelligent electric meter, whether the target user has an abnormal power utilization condition or not is judged according to the power utilization condition of the target user, a circuit for abnormal power utilization is judged, and equipment for abnormal power utilization or a socket for supplying power to the equipment is determined, so that whether a poor-contact socket exists in the home of the user or not is determined; equipment overload caused by long-term use of a poor-contact socket by a user is avoided, so that equipment damage and even power utilization fire are avoided, and the power utilization safety of the user is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of smart meter monitoring, and in particular to a safety monitoring system and method for smart meters. Background Art

[0002] Smart meters are a core component of modern power systems and are widely used in power monitoring and management. They can collect power consumption data in real time, transmit it remotely, and provide detailed power usage information. With the networking of smart meters, although the efficiency of monitoring is improved, the risk of data theft or tampering is also increased. Meter data may be obtained by unauthorized personnel, resulting in privacy leakage. Malicious attackers may tamper with meter data, resulting in errors in electricity bill calculation or system failure. Attackers may interfere with power supply, causing system paralysis or service interruption. Although traditional security measures can protect the system to a certain extent, they may not be effective enough in the face of specific challenges of smart meters. The security monitoring system and method of smart meters include: data encryption and transmission security, access control, real-time monitoring and early warning, physical security, and software and firmware updates, which can effectively improve the security of smart meter systems and prevent data leakage, tampering and other security threats. Encrypt meter data to prevent data from being intercepted or tampered with during transmission. Use secure communication protocols to protect data transmission. Authenticate users and devices to ensure that only authorized personnel can access meter data. Set different permission levels to control access to meter data and system functions. Monitor meter data in real time, detect abnormal behavior, and issue alarms in a timely manner. Record all access and operation logs to facilitate subsequent audits and analysis. The meter itself must have a tamper-proof physical design, such as packaging and anti-disassembly functions. Monitor the temperature and humidity of the environment where the meter is located to ensure its normal operation. Regularly update the software and firmware of the meter to patch known security vulnerabilities. Ensure that the source and content of the update package are credible to avoid the insertion of malicious software. Existing safety monitoring systems and methods for smart meters cannot determine whether a target user has abnormal electricity usage based on the target user's electricity usage, cannot determine the circuit of abnormal electricity usage, cannot determine the device with abnormal electricity usage or the socket that powers the device, and thus cannot determine whether there are sockets with poor contact in the user's home. Long-term use of sockets with poor contact can easily cause equipment overload, resulting in equipment damage and even electrical fires. Its practicality has certain limitations. Summary of the invention

[0003] The present invention provides a safety monitoring system and method for a smart electric meter, which has the functions of judging whether a target user has abnormal power usage according to the power usage of the target user, judging the circuit of abnormal power usage, determining the device of abnormal power usage or the socket for powering the device, thereby determining whether there is a socket with poor contact in the user's home, avoiding the user from using the socket with poor contact for a long time to cause device overload, thereby causing device damage or even power fire, and ensuring the safety of user's power use. It solves the problem mentioned in the above background technology that it is impossible to judge whether a target user has abnormal power usage according to the power usage of the target user, it is impossible to judge the circuit of abnormal power usage, it is impossible to determine the device of abnormal power usage or the socket for powering the device, thereby determining whether there is a socket with poor contact in the user's home, and long-term use of the socket with poor contact is likely to cause device overload, thereby causing device damage or even power fire, and its practicality has certain limitations.

[0004] The present invention provides the following technical solution: a safety monitoring method for a smart meter, comprising: Obtain target electricity consumption data; Obtain historical electricity consumption data; Extract and determine electricity consumption data, and form determination data through data determination strategy according to target electricity consumption data, historical electricity consumption data and determination electricity consumption data; If the judgment data is judged as normal power consumption, no judgment is made; If the determination data is determined to be abnormal power consumption, the abnormal analysis strategy is executed to form abnormal determination data; If the abnormal judgment data is safe power usage data, the power-off alarm will not be executed; If the abnormal determination data is dangerous power consumption data, the abnormal circuit is obtained and a power-off alarm is issued for the abnormal circuit; The data determination strategy is specifically as follows: Obtain and determine electricity consumption data; If the target power consumption data ≥ the determined power consumption data × (1 + 5%), the target user is determined to be abnormally using power; If the target power consumption data is less than the determined power consumption data × (1 + 5%), the target user is determined to be using power normally.

[0005] As a safety monitoring method for a smart meter according to the present invention, the acquisition of historical electricity consumption data is specifically as follows: Get the current period; Set the judgment time; Taking the current time period as the starting time period, the duration of each interval is determined to form a determination time period; Set the collection duration; Take the current period as the starting period and calculate the starting collection period, starting collection period = current period - collection duration; The starting collection period is taken as the starting period and the current period is taken as the ending period to form a collection determination period; Acquire all determination time periods within the collection determination time period to form a determination time period set; Obtain the target user's electricity consumption data in each determination period and define it as historical electricity consumption data; Each historical electricity consumption data is matched one by one with each element of the determination period set to form a historical electricity consumption data set; Calculate and determine the power consumption data, where the power consumption data = the sum of all historical power consumption data ÷ the number of elements in the determination period set.

[0006] As a safety monitoring method for a smart meter described in the present invention, the abnormality analysis strategy is specifically: Execute the single-phase determination strategy for each phase circuit in turn; Extract abnormal circuits and define them as target judgment circuits; Obtain all electrical devices corresponding to the target determination circuit and define them as determination devices; Execute the device determination strategy for each determination device respectively; The number of determination devices is obtained, which is defined as the determination number; Get the number of uninterrupted devices and set it as the uninterrupted number; Get the number of discontinuous devices and set it as the discontinuous number; If the determination number = the uninterruptible number, the power consumption analysis strategy is executed for each uninterruptible device in turn; If the number of determinations = the number of discontinuities, the device analysis strategy is executed for each discontinuity device in turn; If the determined number is greater than the uninterrupted number, and the determined number is greater than the intermittent number, the power consumption analysis strategy is executed sequentially for each uninterrupted device, and the device analysis strategy is executed sequentially for each intermittent device.

[0007] As a safety monitoring method for a smart meter described in the present invention, the device determination strategy is specifically: Obtain the daily power consumption duration of the determined equipment and set it as the target duration; Set the analysis duration; If the target duration = analysis duration, the device is considered to be an uninterrupted device; If the target duration ≠ the analysis duration, the device is deemed to be an intermittent device.

[0008] As a safety monitoring method for a smart meter described in the present invention, the single-phase determination strategy is specifically as follows: The power consumption data of the phase circuit is defined as single-phase power consumption data; Obtain the single-phase power consumption data of the phase circuit in the current period and define it as the current single-phase data; Get the determination time period set; Obtaining the single-phase power consumption data of each determination period in the determination period set as single-phase historical data; Each single-phase historical data is matched one by one with each element of the determination period set to form a single-phase historical data set; Calculate the single-phase determination data, the single-phase determination data = the sum of all single-phase historical data ÷ the number of elements in the determination period set; If the current single-phase data ≥ single-phase determination data × (1 + 5%), the phase circuit is determined to be an abnormal circuit; If the current single-phase data < single-phase determination data × (1 + 5%), the phase circuit is determined to be a normal circuit.

[0009] As a safety monitoring method for a smart meter described in the present invention, the power consumption analysis strategy is specifically: The power consumption data of uninterrupted equipment is defined as equipment power consumption data; Obtain the power consumption data of the uninterruptible device in the current period and define it as the current device data; Obtain rated power consumption data of uninterruptible equipment; If the current equipment data ≥ rated power consumption data × (1 + 10%), the current equipment data is determined to be dangerous power consumption data; Identify the uninterruptible equipment corresponding to the dangerous power consumption data as abnormal equipment; Identify the circuit corresponding to the abnormal device as an abnormal circuit; If the current device data is less than the rated power consumption data × (1 + 10%), the current device data is determined to be safe power consumption data.

[0010] As a safety monitoring method for a smart meter described in the present invention, the device analysis strategy is specifically: Obtain the power consumption period corresponding to the intermittent equipment in the current period and set it as the target determination period; Get the power supply interface corresponding to the intermittent device and set it as the target interface; Extract the date corresponding to the current period and set it as the target date; Calculate the analysis date, analysis date = target date - 1; Obtain all power consumption periods of the target interface within the analysis date, set them as target analysis periods, and form an analysis period set; If the target determination period is the last element of the analysis period set, the device power consumption analysis strategy is executed; If the target determination period is not the last element of the analysis period set, the device analysis strategy is repeatedly executed until the target determination period is the last element of the analysis period set.

[0011] As a safety monitoring method for a smart meter described in the present invention, the device power consumption analysis strategy is specifically: Get the analysis period set of the target date and set it as the target period set; Extract the electricity consumption data corresponding to each element in the target time period set and define it as the time period electricity consumption data; Extract the rated power consumption data corresponding to each element in the target time period set and define it as the time period rated data; If the power consumption data of a time period ≥ the rated data of the time period × (1 + 10%), the power consumption data of the time period is determined to be dangerous power consumption data; If the power consumption data of the time period is less than the rated data of the time period × (1 + 10%), the power consumption data of the time period is determined to be safe power consumption data; If the power consumption data corresponding to each element in the target time period set are all safe power consumption data, it is determined that the target interface is abnormal, the target interface is identified as an abnormal interface, and the circuit corresponding to the abnormal interface is identified as an abnormal circuit; If there is an element in the target time period set whose power consumption data is dangerous power consumption data, the intermittent device corresponding to the dangerous power consumption data is identified as an abnormal device, and the circuit corresponding to the abnormal device is identified as an abnormal circuit.

[0012] The present invention also discloses a system for executing a safety monitoring method for a smart meter, which includes: Information collection module: used to obtain target power consumption data, historical power consumption data and determine power consumption data; Information analysis module: used to form judgment data based on target power consumption data, historical power consumption data and judgment power consumption data through data judgment strategy; Abnormal determination module: used to determine whether to execute abnormal analysis strategy according to the determination data, thereby forming abnormal determination data; Safety alarm module: used to determine whether to obtain an abnormal circuit based on abnormal judgment data, and to issue a power-off alarm for the abnormal circuit.

[0013] The present invention has the following beneficial effects: 1. The safety monitoring system and method for smart meters determines whether the user's current electricity usage is abnormal by obtaining the target user's current electricity usage data and historical electricity usage data. Since each person has different habits, they will have relatively fixed electricity usage habits within a certain period. Therefore, the target user's judgment electricity usage data is determined based on the historical electricity usage data within the period. If the current electricity usage data exceeds a certain range of the judgment electricity usage data, it means that the user's current electricity usage is abnormal, and it is necessary to further check the circuits and equipment with abnormal electricity usage. If the current electricity usage data does not exceed a certain range of the judgment electricity usage data, it means that the user's current electricity usage is normal and no further investigation is required, so as to avoid users from using sockets with poor contact for a long time, causing equipment overload, thereby causing equipment damage and even electrical fire, thereby ensuring the safety of users' electricity use.

[0014] 2. The safety monitoring system and method for smart meters obtains the current power consumption data and historical power consumption data of each phase circuit of the target user to determine the circuit with abnormal power consumption in the user's home. Due to the different indoor power consumption designs, the power consumption habits of the devices connected to each circuit are also different. For example, high-power devices such as refrigerators and air conditioners are basically devices with uninterrupted power supply, while low-power devices such as power strips and chargers are basically devices with intermittent power supply, that is, they are connected to the circuit through the socket only when in use. Therefore, based on the historical power consumption data within the cycle, the single-phase judgment data of the target user is determined, thereby determining the circuit with abnormal power consumption, and further investigating the abnormal circuit to determine the device with abnormal power consumption or the socket that supplies power to the device, thereby determining whether there is a socket with poor contact in the user's home, avoiding long-term use of sockets with poor contact by users, causing equipment overload, thereby causing equipment damage, and even electrical fire, to ensure the safety of users' power consumption.

[0015] 3. The safety monitoring system and method for smart meters determines whether each device is an uninterruptible device or an intermittent device according to the power usage habits of each device on the abnormal circuit. If the device is an uninterruptible device, since the uninterruptible device is connected to the circuit through the socket for a long time, the possibility of poor socket contact is small. Therefore, the current power usage data of the device is compared with the rated power usage data to determine whether the device is an abnormal power usage device. If the device is an intermittent device, since the intermittent device is not always connected to the circuit through the socket, it will be frequently plugged in and out, and the possibility of poor socket contact is high. Therefore, the device is extracted. The power consumption period is obtained, and all the power consumption periods of the socket corresponding to the device are obtained. If the devices in all the power consumption periods of the socket have abnormal power consumption, it is determined that the socket has an abnormality, and a power-off alarm is issued for the phase circuit, and the user is prompted that the socket has an abnormality and needs to be replaced. If only the power consumption during the power consumption period corresponding to the device is abnormal, it is determined that the device has an abnormality, and a power-off alarm is issued for the phase circuit, and the user is prompted that the device has an abnormality and needs to be replaced, so as to avoid users from overloading the equipment due to long-term use of sockets with poor contact, thereby causing equipment damage and even electrical fire, thereby ensuring the safety of users' power use. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a flow chart of the safety monitoring method for smart meters of the present invention; Figure 2 A system block diagram of a method for security monitoring of a smart meter according to the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0018] Embodiment 1, a safety monitoring method for a smart meter, see Figure 1 ,include: Acquire target power consumption data, where the target power consumption data is current power; Obtain historical electricity consumption data; Extract and determine electricity consumption data, and form determination data through data determination strategy according to target electricity consumption data, historical electricity consumption data and determination electricity consumption data; If the judgment data is judged as normal power consumption, no judgment is made; If the determination data is determined to be abnormal power consumption, the abnormal analysis strategy is executed to form abnormal determination data; If the abnormal judgment data is safe power usage data, the power-off alarm will not be executed; If the abnormal determination data is dangerous power consumption data, the abnormal circuit is obtained and a power-off alarm is issued for the abnormal circuit; The data determination strategy is specifically as follows: Obtain and determine electricity consumption data; If the target power consumption data ≥ the determined power consumption data × (1 + 5%), the target user is determined to be abnormally using power; If the target power consumption data is less than the determined power consumption data × (1 + 5%), the target user is determined to be using power normally.

[0019] Through the above method, according to the target user's electricity usage, it is determined whether the target user has abnormal electricity usage, the circuit of abnormal electricity usage is determined, and the device with abnormal electricity usage or the socket that supplies power to the device is determined, so as to determine whether there is a socket with poor contact in the user's home, so as to avoid the user's long-term use of sockets with poor contact causing equipment overload, thereby causing equipment damage or even electrical fire, thereby ensuring the user's electricity safety.

[0020] Embodiment 2: This embodiment is an improvement made on the basis of embodiment 1. In the safety monitoring method for smart meters, the acquisition of historical electricity consumption data is specifically as follows: Get the current period; Set the judgment time, which is -24 hours, i.e. one day ahead; Take the current time period as the starting time period, and determine the duration of each interval to form a determination time period. For example, if the current time period is 8:00-9:00 on May 2, and the determination duration is -24 hours, that is, one day ago, then the determination time period is 8:00-9:00 on May 1; Set the collection period, which is 30 days; Take the current period as the starting period and calculate the starting collection period, starting collection period = current period - collection duration; The starting collection period is taken as the starting period and the current period is taken as the ending period to form a collection determination period; Acquire all determination time periods within the collection determination time period to form a determination time period set; Obtain the target user's electricity consumption data in each determination period and define it as historical electricity consumption data; Each historical electricity consumption data is matched one by one with each element of the determination period set to form a historical electricity consumption data set; Calculate and determine the power consumption data, where the power consumption data = the sum of all historical power consumption data ÷ the number of elements in the determination period set.

[0021] Embodiment 3: This embodiment is an improvement made on the basis of Embodiment 2. In this embodiment, the abnormality analysis strategy is specifically as follows: Execute the single-phase determination strategy for each phase circuit in turn; Extract abnormal circuits and define them as target judgment circuits; Obtain all electrical devices corresponding to the target determination circuit and define them as determination devices; Execute the device determination strategy for each determination device respectively; The number of determination devices is obtained, which is defined as the determination number; Get the number of uninterrupted devices and set it as the uninterrupted number; Get the number of discontinuous devices and set it as the discontinuous number; If the determination number = the uninterruptible number, the power consumption analysis strategy is executed for each uninterruptible device in turn; If the number of determinations = the number of discontinuities, the device analysis strategy is executed for each discontinuity device in turn; If the determined number is greater than the uninterrupted number, and the determined number is greater than the intermittent number, the power consumption analysis strategy is executed sequentially for each uninterrupted device, and the device analysis strategy is executed sequentially for each intermittent device.

[0022] The device determination strategy is specifically: Obtain the daily power consumption duration of the determined equipment and set it as the target duration; Set the analysis time, which is 24 hours; If the target duration = analysis duration, the device is considered to be an uninterrupted device; If the target duration ≠ the analysis duration, the device is deemed to be an intermittent device.

[0023] This embodiment also provides that the single-phase determination strategy is specifically: The power consumption data of the phase circuit is defined as single-phase power consumption data; Obtain the single-phase power consumption data of the phase circuit in the current period and define it as the current single-phase data; Get the determination time period set; Obtaining the single-phase power consumption data of each determination period in the determination period set as single-phase historical data; Each single-phase historical data is matched one by one with each element of the determination period set to form a single-phase historical data set; Calculate the single-phase determination data, the single-phase determination data = the sum of all single-phase historical data ÷ the number of elements in the determination period set; If the current single-phase data ≥ single-phase determination data × (1 + 5%), the phase circuit is determined to be an abnormal circuit; If the current single-phase data < single-phase determination data × (1 + 5%), the phase circuit is determined to be a normal circuit.

[0024] This embodiment also provides that the power consumption analysis strategy is specifically: The power consumption data of uninterrupted equipment is defined as equipment power consumption data; Obtain the power consumption data of the uninterruptible device in the current period and define it as the current device data; Acquire rated power consumption data of an uninterruptible device, where the rated power consumption data is the rated power of the device; If the current equipment data ≥ rated power consumption data × (1 + 10%), the current equipment data is determined to be dangerous power consumption data; Identify the uninterruptible equipment corresponding to the dangerous power consumption data as abnormal equipment; Identify the circuit corresponding to the abnormal device as an abnormal circuit; If the current device data is less than the rated power consumption data × (1 + 10%), the current device data is determined to be safe power consumption data.

[0025] This embodiment also provides that the device analysis strategy is specifically: Obtain the power consumption period corresponding to the intermittent equipment in the current period and set it as the target determination period; Get the power supply interface corresponding to the intermittent device and set it as the target interface; Extract the date corresponding to the current period and set it as the target date; Calculate the analysis date, analysis date = target date - 1; Obtain all power consumption periods of the target interface within the analysis date, set them as target analysis periods, and form an analysis period set; If the target determination period is the last element of the analysis period set, the device power consumption analysis strategy is executed; If the target determination period is not the last element of the analysis period set, the device analysis strategy is repeatedly executed until the target determination period is the last element of the analysis period set.

[0026] The device power consumption analysis strategy is specifically as follows: Get the analysis period set of the target date and set it as the target period set; Extract the electricity consumption data corresponding to each element in the target time period set and define it as the time period electricity consumption data; Extract the rated power consumption data corresponding to each element in the target time period set and define it as the time period rated data; If the power consumption data of a time period ≥ the rated data of the time period × (1 + 10%), the power consumption data of the time period is determined to be dangerous power consumption data; If the power consumption data of the time period is less than the rated data of the time period × (1 + 10%), the power consumption data of the time period is determined to be safe power consumption data; If the power consumption data corresponding to each element in the target time period set are all safe power consumption data, it is determined that the target interface is abnormal, the target interface is identified as an abnormal interface, and the circuit corresponding to the abnormal interface is identified as an abnormal circuit; If there is an element in the target time period set whose power consumption data is dangerous power consumption data, the intermittent device corresponding to the dangerous power consumption data is identified as an abnormal device, and the circuit corresponding to the abnormal device is identified as an abnormal circuit.

[0027] Embodiment 4: This embodiment also discloses a system for executing a security monitoring method for a smart meter, see Figure 2 ,include: Information collection module: used to obtain target power consumption data, historical power consumption data and determine power consumption data; Information analysis module: used to form judgment data based on target power consumption data, historical power consumption data and judgment power consumption data through data judgment strategy to determine whether the target user has abnormal power consumption, such as overload, so as to determine whether there is any dangerous power consumption equipment in the target user's home; Abnormal determination module: used to determine whether to execute abnormal analysis strategy according to determination data, so as to form abnormal determination data, so as to determine whether there are dangerous power-using devices in the home of the target user, where dangerous power-using devices include short circuit of devices, damaged devices and devices that cannot be charged at home, such as batteries, etc., so as to determine whether it is necessary to execute power-off alarm; Safety alarm module: used to determine whether to obtain an abnormal circuit based on abnormal judgment data, and to issue a power-off alarm for the abnormal circuit, so as to cut off the power supply and alarm for the power lines corresponding to the sockets of equipment with dangerous electricity use, so as to avoid dangerous situations such as fire caused by long-term dangerous electricity use.

[0028] In this embodiment, based on the target user's electricity usage, it is determined whether the target user has abnormal electricity usage, the circuit of the abnormal electricity usage is determined, and the device with abnormal electricity usage or the socket that supplies power to the device is determined, thereby determining whether there are sockets with poor contact in the user's home, avoiding the user's long-term use of sockets with poor contact that may cause equipment overload, thereby causing equipment damage or even electrical fire, thereby ensuring the user's electricity safety.

[0029] The electronic device in the embodiments of the present disclosure may include, but is not limited to, mobile terminals such as laptop computers, PADs (tablet computers), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), and the like, as well as fixed terminals.

[0030] An electronic device may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) or a program loaded from a storage device into a random access memory (RAM). In the RAM, various programs and data required for the operation of the electronic device are also stored. The processing device, ROM, and RAM are connected to each other via a bus. An input / output (I / O) interface is also connected to the bus.

[0031] Typically, the following devices may be connected to the I / O interface: input devices including, for example, a touch screen, a touch pad, an image sensor, a microphone, etc.; output devices including, for example, a liquid crystal display (LCD), a speaker, etc.; storage devices including, for example, a magnetic tape, a hard disk, etc.; and communication devices. The communication devices may allow the electronic device to communicate with other devices wirelessly or by wire to exchange data.

[0032] The embodiments of the present disclosure also provide a non-transitory computer-readable storage medium, which stores computer instructions, and the computer instructions are used to enable the computer to execute the security monitoring system and method for smart meters in the aforementioned method embodiments.

[0033] It should be noted that more specific examples of computer-readable storage media may include portable computer disks, hard disks, erasable programmable read-only memories (EPROMs or flash memories), optical storage devices, magnetic storage devices, or any suitable combination thereof. In the present disclosure, computer-readable storage media may be any tangible medium that contains or stores a program, which may be used by or in combination with an instruction execution system, apparatus, or device, and the computer-readable medium may be contained in the electronic device; or it may exist independently without being assembled into the electronic device.

[0034] The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device can implement the solution provided by the method embodiment.

[0035] Computer program code for performing operations of the present disclosure may be written in one or more programming languages ​​or a combination thereof, and may be executed entirely on a user's computer, partially on a user's computer, as a separate software package, partially on a user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0036] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0037] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A safety monitoring method for a smart meter, characterized in that: include: Obtain target electricity consumption data; Obtain historical electricity consumption data; Extract and determine electricity consumption data, and form determination data through data determination strategy according to target electricity consumption data, historical electricity consumption data and determination electricity consumption data; If the judgment data is judged as normal power consumption, no judgment is made; If the determination data is determined to be abnormal power consumption, the abnormal analysis strategy is executed to form abnormal determination data; If the abnormal judgment data is safe power usage data, the power-off alarm will not be executed; If the abnormal determination data is dangerous power consumption data, the abnormal circuit is obtained and a power-off alarm is issued for the abnormal circuit; The data determination strategy is specifically as follows: Obtain and determine electricity consumption data; If the target power consumption data ≥ the determined power consumption data × (1 + 5%), the target user is determined to be abnormally using power; If the target power consumption data is less than the determined power consumption data × (1 + 5%), the target user is determined to be using power normally.

2. A safety monitoring method for a smart meter according to claim 1, characterized in that: The acquisition of historical electricity consumption data is specifically as follows: Get the current period; Set the judgment time; Taking the current time period as the starting time period, the duration of each interval is determined to form a determination time period; Set the collection duration; Take the current period as the starting period and calculate the starting collection period, starting collection period = current period - collection duration; The starting collection period is taken as the starting period and the current period is taken as the ending period to form a collection determination period; Acquire all determination time periods within the collection determination time period to form a determination time period set; Obtain the target user's electricity consumption data in each determination period and define it as historical electricity consumption data; Each historical electricity consumption data is matched one by one with each element of the determination period set to form a historical electricity consumption data set; Calculate and determine the power consumption data, where the power consumption data = the sum of all historical power consumption data ÷ the number of elements in the determination period set.

3. A safety monitoring method for a smart meter according to claim 1, characterized in that: The abnormal analysis strategy is specifically: Execute the single-phase determination strategy for each phase circuit in turn; Extract abnormal circuits and define them as target judgment circuits; Obtain all electrical devices corresponding to the target determination circuit and define them as determination devices; Execute the device determination strategy for each determination device respectively; The number of determination devices is obtained, which is defined as the determination number; Get the number of uninterrupted devices and set it as the uninterrupted number; Get the number of discontinuous devices and set it as the discontinuous number; If the determination number = the uninterruptible number, the power consumption analysis strategy is executed for each uninterruptible device in turn; If the number of determinations = the number of discontinuities, the device analysis strategy is executed for each discontinuity device in turn; If the determined number is greater than the uninterrupted number, and the determined number is greater than the intermittent number, the power consumption analysis strategy is executed sequentially for each uninterrupted device, and the device analysis strategy is executed sequentially for each intermittent device.

4. A safety monitoring method for a smart meter according to claim 3, characterized in that: The device determination strategy is specifically: Obtain the daily power consumption duration of the determined equipment and set it as the target duration; Set the analysis duration; If the target duration = analysis duration, the device is considered to be an uninterrupted device; If the target duration ≠ the analysis duration, the device is deemed to be an intermittent device.

5. A safety monitoring method for a smart meter according to claim 3, characterized in that: The single-phase determination strategy is specifically as follows: The power consumption data of the phase circuit is defined as single-phase power consumption data; Obtain the single-phase power consumption data of the phase circuit in the current period and define it as the current single-phase data; Get the determination time period set; Obtaining the single-phase power consumption data of each determination period in the determination period set as single-phase historical data; Each single-phase historical data is matched one by one with each element of the determination period set to form a single-phase historical data set; Calculate the single-phase determination data, the single-phase determination data = the sum of all single-phase historical data ÷ the number of elements in the determination period set; If the current single-phase data ≥ single-phase determination data × (1 + 5%), the phase circuit is determined to be an abnormal circuit; If the current single-phase data < single-phase determination data × (1 + 5%), the phase circuit is determined to be a normal circuit.

6. A safety monitoring method for a smart meter according to claim 3, characterized in that: The power consumption analysis strategy is specifically as follows: The power consumption data of uninterrupted equipment is defined as equipment power consumption data; Obtain the power consumption data of the uninterruptible device in the current period and define it as the current device data; Obtain rated power consumption data of uninterruptible equipment; If the current equipment data ≥ rated power consumption data × (1 + 10%), the current equipment data is determined to be dangerous power consumption data; Identify the uninterruptible equipment corresponding to the dangerous power consumption data as abnormal equipment; Identify the circuit corresponding to the abnormal device as an abnormal circuit; If the current device data is less than the rated power consumption data × (1 + 10%), the current device data is determined to be safe power consumption data.

7. A safety monitoring method for a smart meter according to claim 3, characterized in that: The device analysis strategy is specifically: Obtain the power consumption period corresponding to the intermittent equipment in the current period and set it as the target determination period; Get the power supply interface corresponding to the intermittent device and set it as the target interface; Extract the date corresponding to the current period and set it as the target date; Calculate the analysis date, analysis date = target date - 1; Obtain all power consumption periods of the target interface within the analysis date, set them as target analysis periods, and form an analysis period set; If the target determination period is the last element of the analysis period set, the device power consumption analysis strategy is executed; If the target determination period is not the last element of the analysis period set, the device analysis strategy is repeatedly executed until the target determination period is the last element of the analysis period set.

8. A safety monitoring method for a smart meter according to claim 7, characterized in that: The device power consumption analysis strategy is specifically as follows: Get the analysis period set of the target date and set it as the target period set; Extract the electricity consumption data corresponding to each element in the target time period set and define it as the time period electricity consumption data; Extract the rated power consumption data corresponding to each element in the target time period set and define it as the time period rated data; If the power consumption data of a time period ≥ the rated data of the time period × (1 + 10%), the power consumption data of the time period is determined to be dangerous power consumption data; If the power consumption data of the time period is less than the rated data of the time period × (1 + 10%), the power consumption data of the time period is determined to be safe power consumption data; If the power consumption data corresponding to each element in the target time period set are all safe power consumption data, it is determined that the target interface is abnormal, the target interface is identified as an abnormal interface, and the circuit corresponding to the abnormal interface is identified as an abnormal circuit; If there is an element in the target time period set whose power consumption data is dangerous power consumption data, the intermittent device corresponding to the dangerous power consumption data is identified as an abnormal device, and the circuit corresponding to the abnormal device is identified as an abnormal circuit.

9. A system for executing the safety monitoring method for a smart meter according to claim 1, characterized in that: include: Information collection module: used to obtain target power consumption data, historical power consumption data and determine power consumption data; Information analysis module: used to form judgment data based on target power consumption data, historical power consumption data and judgment power consumption data through data judgment strategy; Abnormal determination module: used to determine whether to execute abnormal analysis strategy according to the determination data, thereby forming abnormal determination data; Safety alarm module: used to determine whether to obtain an abnormal circuit based on abnormal judgment data, and to issue a power-off alarm for the abnormal circuit.

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