Intelligent electric meter power load analysis system and method

Abstract

The invention relates to the technical field of power load analysis, and discloses an intelligent ammeter power load analysis system and method, and the method comprises the steps: obtaining the current overall power consumption of a user, judging whether the power consumption of the user is abnormal or not, forming abnormal analysis data, and carrying out the corresponding abnormal prompt for the user according to the abnormal analysis data. According to the intelligent electric meter power load analysis system and method, whether the electric equipment is abnormal or not is judged according to the power utilization data collected by the electric meter, the abnormal reason of the electric equipment is judged according to the power utilization data, and a user is timely notified to carry out adjustment according to the abnormal reason of the electric equipment; therefore, the service life of the electric equipment is prevented from being shortened due to the fact that the use condition of the electric equipment cannot be adjusted in time, the equipment is prevented from being damaged due to the fact that equipment abnormity cannot be perceived in time, the service life of the equipment is prolonged, property loss of a user is reduced, fire catching of the electric equipment is reduced, and personal injury to personnel due to fire disasters is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of power load analysis, and in particular to a smart meter power load analysis system and method. Background Art

[0002] With the continuous growth of global energy demand and the increasing prominence of environmental problems, the effective management and optimal utilization of power resources have become the focus of global attention. Traditional power management methods have many shortcomings and cannot meet the needs of modern society for efficient, intelligent and sustainable power management. Therefore, the smart meter power load analysis system and method came into being, aiming to achieve refined management and optimal control of power loads through advanced technical means, solve many problems in traditional power management, and provide new solutions for the effective management and optimal utilization of power resources. Traditional power management has limitations such as untimely data collection, single analysis method, low prediction accuracy and poor user experience. The emergence of smart meters has brought revolutionary changes to power management. Smart meters can not only collect users' electricity consumption data in real time, but also have communication functions, which can transmit data to data centers or local servers, providing basic data support for power load analysis. With the development of big data and artificial intelligence technology, data analysis technology is more and more widely used in power management. Through advanced data analysis methods, power load can be deeply analyzed and predicted to improve the accuracy and efficiency of power management. The smart meter power load analysis system combines smart meters and advanced data analysis technology, with the advantages of real-time, accuracy, intelligence and improved user experience. The existing smart meter power load analysis system and method cannot determine whether there is an abnormality in the electrical equipment based on the electricity consumption data collected by the meter, cannot determine the cause of the abnormality in the electrical equipment based on the electricity consumption data, and cannot promptly notify the user to make adjustments based on the cause of the abnormality in the electrical equipment. As a result, the service life of the electrical equipment is easily shortened due to the failure to adjust the usage in time. At the same time, it is easy to cause equipment damage due to the failure to detect equipment abnormalities in time, and even electrical equipment may catch fire, thereby causing property loss or even personal injury to the user. Its practicality has certain limitations. Summary of the invention

[0003] The present invention provides a smart meter power load analysis system and method, which are used to promote the solution of the problems mentioned in the background technology.

[0004] The present invention provides the following technical solution: a method for analyzing power load of a smart meter, comprising: Get the user's current overall electricity consumption; Implement historical electricity usage analysis strategies; Obtain and determine the power consumption; If the current overall power consumption is less than the determined power consumption × (1 + 30%), the power consumption is determined to be normal and no abnormal prompt is given; If the current overall power consumption ≥ the determined power consumption × (1 + 30%), the power consumption is determined to be abnormal, and the abnormal analysis strategy is executed to form abnormal analysis data; The abnormality analysis data includes line abnormalities and equipment abnormalities; If the abnormal analysis data indicates that the line is abnormal, the user is prompted that the line is abnormal; If the abnormal analysis data indicates that the equipment is abnormal, the equipment power consumption analysis strategy is executed to generate equipment analysis data; According to the device analysis data, the user is given corresponding abnormal prompts.

[0005] As a smart meter power load analysis method described in the present invention, the historical power consumption analysis strategy is specifically: Get the current time point; Set the duration of electricity collection; Calculate the collection time point, which is the current time point - electricity collection duration; The collection time point is taken as the starting time point and the current time point is taken as the ending time point to form a power consumption collection cycle; Set the interval duration; Taking the collection time point as the starting time point, a determination time point is formed at every interval time; Obtain the number of determination time points within the power consumption collection cycle, which is defined as the total number of determinations; Obtain the power consumption corresponding to each determination time point in the power consumption collection cycle, and define it as the analysis power consumption; Calculate the power consumption for determination: power consumption for determination = sum of all analyzed power consumption ÷ total number of determinations.

[0006] As a smart meter power load analysis method described in the present invention, the abnormal analysis strategy is specifically: Obtain the electricity consumption collection cycle; Extract all judgment time points and total number of judgments within the electricity consumption collection cycle; Obtain all the user's devices connected to the power supply line and define them as analysis devices; Get the current power consumption of each analyzed device and set it as the current power consumption of the device; For each analysis device, the power consumption corresponding to each determination time point in the power consumption collection cycle is obtained and defined as the historical power consumption of the device; Calculate the device judgment power for each analyzed device respectively. The device judgment power = the sum of all device historical power of the analyzed device / the total number of judgments; If the current power of the device is less than the determined power of the device × (1 + 30%), the device is considered to be in normal power consumption; If the current power of the device ≥ the determined power of the device × (1 + 30%), the device is considered to be using abnormal power; The number of analytical devices that determine abnormal power consumption of the equipment is obtained, and is defined as the number of abnormal equipment; If the number of abnormal devices is ≥1, the device is considered abnormal; If the number of abnormal devices is less than 1, the line is determined to be abnormal.

[0007] As a smart meter power load analysis method described in the present invention, the device power consumption analysis strategy is specifically: Obtain an analysis device for determining abnormal power consumption of the device and define it as the determination device; Obtain the current power of the device to determine the current power consumption; Extract and determine the collection start time of current power consumption and set it as the target collection time; Set the device judgment time; Get the current time point; If the current time point - target collection time ≥ device judgment time, it is judged that the device has been used for too long; If the current time point - target collection time < device determination time, the device usage time is determined to be normal, and the device usage analysis strategy is executed.

[0008] As a smart meter power load analysis method described in the present invention, wherein: the device uses an analysis strategy, specifically: Obtain the electricity consumption collection cycle; Obtain the change start time and change end time of the determination device; The change start time is taken as the starting time point, and the period between the change start time and the change end time is defined as the use period; The duration corresponding to the usage period is defined as the usage duration; Obtain all usage time periods of the determination device within the power consumption collection cycle, and form a usage time period set according to the sequence of the change start time corresponding to each usage time period; Obtain the time difference between each two adjacent elements in the usage time period set, and define it as the analysis time difference; Calculate the average analysis time difference, average analysis time difference = the sum of all analysis time differences in the use period set ÷ (the number of elements in the use period set - 1); Calculate the average usage time difference, which is the sum of all usage durations in the usage time set ÷ the number of elements in the usage time set; Setting a first determination time difference and a second determination time difference; If the average analysis time difference is ≤ the first judgment time difference × (1 + 20%) or the average use time difference is ≤ the second judgment time difference × (1 + 20%), the equipment operation is judged to be abnormal; If the average analysis time difference > the first judgment time difference × (1 + 20%) and the average usage time difference > the second judgment time difference × (1 + 20%), the device is judged to be operating normally and the device power analysis strategy is executed.

[0009] As a smart meter power load analysis method described in the present invention, the device power analysis strategy is specifically: Execute device power analysis strategies; Obtain power usage data of the determination device; Obtain power supply data of the determination device; If the used power data ≠ the power supply data, it is determined that the line power supply is abnormal; If the power supply data = the power supply data, it is determined that the line power supply is normal, and the target power supply data of the determination device is obtained; If the target power data = the used power data, it is determined that the device is powered normally; If the target power data ≠ the used power data, it is determined that the device power supply is abnormal.

[0010] As a smart meter power load analysis method described in the present invention, the device power supply analysis strategy is specifically: Obtain the power supply line to which the determination device is connected and determine it as the target line; Obtain the location of the power source of the target line and set it as the starting point; Obtain all analysis devices on the target line and define them as line distribution devices; Obtain the interface location of each line distribution device connected to the target line and set it as the analysis location point; Obtain the distance between the analysis position point and the starting position point, which is defined as the power supply length; Sort all line devices according to the value of power supply length from small to large to form a power supply set; Extract the line distribution device corresponding to the first element in the power supply set and define it as the nearest device; Extract the line distribution device corresponding to the last element in the power supply set and define it as the farthest device; Extract the positions of the nearest device and the farthest device, and define them as the nearest position point and the farthest position point respectively; Get the distance between the farthest point and the nearest point, and define it as the interval distance; Obtain the distance between the nearest position point and the starting position point, and define it as the determination distance; Obtain power supply data of the determination device; If the interval distance is ≤ the judgment distance ÷ 3, the power supply loss of the judgment line is small, and the power supply data of the judgment equipment is calculated. The power supply data = the power supply data; If the interval distance is greater than the determination distance ÷ 3, it is determined that the line power supply loss is large and the loss analysis strategy is executed.

[0011] As a smart meter power load analysis method described in the present invention, the loss analysis strategy is specifically: Obtain the interface location of the device connected to the target line and determine it as the device location point; Get the power supply collection; Extract the nearest location point; If the device location point = the nearest location point, obtain the determination distance; Obtain line resistance data corresponding to the determination distance and define it as first resistance data; Obtain current data of the target line; Calculate line voltage data, line voltage data = current data × first resistance data; Calculate and determine the actual power data of the equipment, actual power data = power supply data - line voltage data; If the actual power data is less than or equal to the power supply data × 95%, the power data used by the equipment is calculated and determined, and the power data used = the actual power data; If the actual power data>power supply data×95%, then calculate the power data of the equipment, and the power data=power supply data; If the device location point ≠ the nearest location point, calculate the device distance, device distance = device location point - starting location point; Obtain line resistance data corresponding to the device distance and set it as second resistance data; Obtain current data of the target line; Calculate the line voltage data, line voltage data = current data × second resistance data; Calculate and determine the power usage data of the equipment: power usage data = power supply data - line voltage data.

[0012] The present invention also discloses a system for executing a smart meter power load analysis method, which includes: Collection module: obtain the current overall power consumption of users and equipment through smart meters; Storage module: stores data on the user's electricity consumption during the electricity collection cycle; Determination module: determines whether there is any abnormality in the user's electricity consumption; Analysis module: When there is an abnormality in the user's electricity consumption, the user's lines and electrical equipment are analyzed to determine the cause of the abnormal electricity consumption; Warning module: According to the cause of abnormal power consumption, the user will be given corresponding abnormal prompts.

[0013] The present invention has the following beneficial effects: 1. The smart meter power load analysis system and method collects the user's overall power consumption data and equipment power consumption data through the meter, and judges whether the power consumption of each device is abnormal based on the power consumption data collected by the meter, thereby judging whether there is an abnormality in the power consumption equipment. If the power consumption of all power consumption equipment is normal, it means that there is an abnormality in the user's power line, and the user is promptly prompted to repair the abnormal power line to avoid damage to the equipment on the abnormal power line, and also avoid the situation where all equipment on the power line is shut down for maintenance due to an abnormal device, so that the user cannot use other normal power consumption equipment in time, thereby reducing the user's property loss, reducing the fire of power consumption equipment, and avoiding personal injury to personnel caused by fire.

[0014] 2. The smart meter power load analysis system and method determines whether there is a deviation between the power supply voltage used by the power consumer and the rated voltage of the power consumer by obtaining the location where the power consumer is connected to the power supply line and the location of the power interface of the power supply line. If there is a deviation, it determines whether the deviation is too large, so as to determine whether the failure of the power consumer is caused by long-term use of a power supply voltage with a large deviation, and promptly prompts the user to repair the abnormal equipment. At the same time, the user is reminded to pay attention to the deviation between the rated voltage of the equipment and the voltage of the power interface when using the power interface in the future, so as to avoid the shortening of the service life of the equipment due to the failure to adjust the use of the equipment in time, avoid damage to the equipment due to the failure to detect equipment abnormalities in time, extend the service life of the equipment, reduce the property loss of users, reduce the fire of power consumer equipment, and avoid personal injury to personnel caused by fire.

[0015] 3. The smart meter power load analysis system and method obtains the power consumption of the equipment with abnormal power consumption to determine whether the equipment with abnormal power consumption has been running under long-term overload or has been frequently started and stopped manually. If the equipment has been running under long-term overload or has been frequently started and stopped manually, the user is promptly prompted to repair the abnormal equipment. At the same time, the user is prompted to reduce the occurrence of such operations when using the equipment in the future, so as to avoid shortening the service life of the equipment due to failure to adjust the usage in time, avoid damage to the equipment due to failure to detect equipment abnormalities in time, extend the service life of the equipment, reduce the property loss of users, reduce the fire of electrical equipment, and avoid personal injury to personnel caused by fire. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a flow chart of the smart meter power load analysis method of the present invention; Figure 2 A system block diagram of the method for analyzing power load 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 method for analyzing power load of a smart meter, referring to Figure 1 ,include: Get the user's current overall electricity consumption; Implement historical electricity usage analysis strategies; Obtain and determine the power consumption; If the current overall power consumption is less than the determined power consumption × (1 + 30%), the power consumption is determined to be normal and no abnormal prompt is given; If the current overall power consumption ≥ the determined power consumption × (1 + 30%), the power consumption is determined to be abnormal, and the abnormal analysis strategy is executed to form abnormal analysis data; The abnormality analysis data includes line abnormalities and equipment abnormalities; If the abnormal analysis data indicates that the line is abnormal, the user is prompted that the line is abnormal; If the abnormal analysis data indicates that the equipment is abnormal, the equipment power consumption analysis strategy is executed to generate equipment analysis data; According to the device analysis data, the user is given corresponding abnormal prompts.

[0019] Through the above method, based on the electricity consumption data collected by the electric meter, it is determined whether there is an abnormality in the electrical equipment, and the cause of the abnormality in the electrical equipment is determined based on the electricity consumption data. According to the cause of the abnormality in the electrical equipment, the user is promptly notified to make adjustments, thereby avoiding the shortening of the service life of the equipment due to the failure to take timely adjustments, avoiding damage to the equipment due to the failure to detect the abnormality in time, extending the service life of the equipment, reducing the property loss of the user, reducing the fire of the electrical equipment, and avoiding personal injury to personnel caused by fire.

[0020] Embodiment 2: This embodiment is an improvement made on the basis of embodiment 1. The smart meter power load analysis method and the historical power consumption analysis strategy are specifically: Get the current time point; Set the electricity consumption collection period, which is 3 months; Calculate the collection time point, which is the current time point - electricity collection duration; The collection time point is taken as the starting time point and the current time point is taken as the ending time point to form a power consumption collection cycle; Set the interval time, which is 24 hours; Taking the collection time point as the starting time point, a determination time point is formed at every interval time; Obtain the number of determination time points within the power consumption collection cycle, which is defined as the total number of determinations; Obtain the power consumption corresponding to each determination time point in the power consumption collection cycle, and define it as the analysis power consumption; Calculate the power consumption for determination: power consumption for determination = sum of all analyzed power consumption ÷ total number of determinations.

[0021] This embodiment also provides that the abnormal analysis strategy is specifically: Obtain the electricity consumption collection cycle; Extract all judgment time points and total number of judgments within the electricity consumption collection cycle; Obtain all the user's devices connected to the power supply line and define them as analysis devices; Get the current power consumption of each analyzed device and set it as the current power consumption of the device; For each analyzed device, the power consumption corresponding to each determination time point in the power consumption collection cycle is obtained and defined as the historical power consumption of the device; Calculate the device judgment power for each analyzed device respectively. The device judgment power = the sum of all device historical power of the analyzed device / the total number of judgments; If the current power of the device is less than the determined power of the device × (1 + 30%), the device is considered to be in normal power consumption; If the current power of the device ≥ the determined power of the device × (1 + 30%), the device is considered to be using abnormal power; The number of analytical devices that determine abnormal power consumption of the equipment is obtained, and is defined as the number of abnormal equipment; If the number of abnormal devices is ≥1, the device is considered abnormal; If the number of abnormal devices is less than 1, the line is determined to be abnormal.

[0022] Embodiment 3: This embodiment is an improvement made on the basis of Embodiment 2. In this embodiment, the device power consumption analysis strategy is specifically as follows: Obtain an analysis device for determining abnormal power consumption of the device and define it as the determination device; Obtain the current power of the device to determine the current power consumption; Extract and determine the collection start time of the current power consumption, and set it as the target collection time. When the device is in working state, the power consumption will change. The collection start time is the time when the power consumption starts to change most recently from the current time, that is, the most recent startup time of the device from the current time; Setting a device determination time, where the device determination time is the maximum time for which the device is recommended to be used, such as one month or three months; Get the current time point; If the current time point - target collection time ≥ device judgment time, it is judged that the device has been used for too long, that is, the abnormal power consumption of the device may be due to the long-term overload operation of the device, which has shortened the service life of some of its components, and further manual maintenance of the device is required; If the current time point - target collection time < device determination time, the device usage time is determined to be normal, and the device usage analysis strategy is executed.

[0023] The device usage analysis strategy is specifically: Obtain the electricity consumption collection cycle; Obtain the change start time and change end time of the determination device. When the device is in working state, the power consumption will change. The change start time is the time when the power consumption starts to change, that is, the start time of the device, and the change end time is the time when the power consumption ends to change, that is, the stop time of the device; The change start time is taken as the starting time point, and the period between the change start time and the change end time is defined as the use period; The duration corresponding to the usage period is defined as the usage duration; Obtain all usage time periods of the determination device within the power consumption collection cycle, and form a usage time period set according to the sequence of the change start time corresponding to each usage time period; Obtain the time difference between each two adjacent elements in the usage period set, which is defined as the analysis time difference. The time difference between each two adjacent elements is the time length between the end time of the change of the previous element and the start time of the change of the next element. Calculate the average analysis time difference, average analysis time difference = the sum of all analysis time differences in the use period set ÷ (the number of elements in the use period set - 1); Calculate the average usage time difference, which is the sum of all usage durations in the usage time set ÷ the number of elements in the usage time set; Set a first determination time difference and a second determination time difference, wherein the first determination time difference is the recommended interval between each device startup and the previous device shutdown, and the second determination time difference is the recommended working time after each device startup; If the average analysis time difference is ≤ the first judgment time difference × (1 + 20%) or the average use time difference is ≤ the second judgment time difference × (1 + 20%), it is determined that the equipment operation is abnormal, that is, the abnormal power consumption of the equipment may be due to the frequent start and stop of the equipment during manual operation, which shortens the service life of some of its components, and further manual maintenance of the equipment is required; If the average analysis time difference > the first judgment time difference × (1 + 20%) and the average usage time difference > the second judgment time difference × (1 + 20%), the device is judged to be operating normally and the device power analysis strategy is executed.

[0024] The device power analysis strategy is specifically as follows: Execute device power analysis strategies; Obtain power usage data of the determination device; Acquire power supply data of the determination device, where the power supply data is the power supply voltage value of the power supply line to which the device is connected; If the power supply data is used ≠ the power supply data, it is determined that the line power supply is abnormal, that is, the abnormal power consumption of the equipment may be due to the large use environment. When designing the power supply line and the interface position for powering each device, the distance between the interfaces is large, and there is a certain loss of power during the transmission process. The power supply interface used by the abnormal power device does not reach the rated voltage of the device, so that the device uses an inappropriate voltage for a long time, which shortens the service life of some of its components. It is necessary to manually inspect the equipment further and consider the rated voltage of the equipment in the subsequent use of the equipment; If the power supply data is equal to the power supply data, it is determined that the line power supply is normal, and the target power supply data of the determination device is obtained, and the target power supply data is the rated voltage value of the device; If the target power data = the used power data, the device is judged to be powered normally. At this time, the specific cause of the abnormality cannot be determined, and manual maintenance of the device is required; If the target power data ≠ the used power data, the device power supply is determined to be abnormal, that is, the abnormal power consumption of the device may be caused by connecting the device to an inappropriate power supply interface during manual installation, causing the device to use an inappropriate voltage for a long time, resulting in the shortening of the service life of some of its components, and further manual maintenance of the equipment is required.

[0025] The device power supply analysis strategy is specifically as follows: Obtain the power supply line to which the determination device is connected and determine it as the target line; Obtain the location of the power supply of the target line and set it as the starting point. The power supply of the target line is the power supply for all devices in the entire line, such as a transformer; Get all analysis devices on the target line and define them as line distribution devices; Obtain the interface location of each line distribution device connected to the target line and set it as the analysis location point; Obtain the distance between the analysis position point and the starting position point, which is defined as the power supply length; Sort all line devices according to the value of power supply length from small to large to form a power supply set; Extract the line distribution device corresponding to the first element in the power supply set and define it as the nearest device; Extract the line distribution device corresponding to the last element in the power supply set and define it as the farthest device; Extract the positions of the nearest device and the farthest device, and define them as the nearest position point and the farthest position point respectively; Get the distance between the farthest point and the nearest point, and define it as the interval distance; Obtain the distance between the nearest position point and the starting position point, and define it as the determination distance; Acquire power supply data of the determination device, where the power supply data is the power supply voltage value of the power supply line to which the device is connected; If the interval distance is less than or equal to the determination distance ÷ 3, the power supply loss of the determination line is small, and the power supply data of the determination device is calculated, where the power supply data = the power supply data, and the power supply data is the voltage value of the interface of the device connected to the power supply line; If the interval distance is greater than the determination distance ÷ 3, it is determined that the line power loss is large and the loss analysis strategy is executed.

[0026] The loss analysis strategy is specifically as follows: Obtain the interface location of the device connected to the target line and determine it as the device location point; Get the power supply collection; Extract the nearest location point; If the device location point = the nearest location point, obtain the determination distance; Obtaining line resistance data corresponding to the determination distance, which is defined as first resistance data, wherein the line resistance data is the resistance corresponding to each length of the power supply line used by the user; Acquire current data of the target line, where the current data is the current value of the target line under the power supply voltage value of the power supply line; Calculate line voltage data, line voltage data = current data × first resistance data; Calculate and determine the actual power data of the equipment, actual power data = power supply data - line voltage data; If the actual power data is less than or equal to the power supply data × 95%, the power data used by the equipment is calculated and determined, and the power data used = the actual power data; If the actual power data>power supply data×95%, then calculate the power data of the equipment, and the power data=power supply data; If the device location point ≠ the nearest location point, calculate the device distance, device distance = device location point - starting location point; Obtain line resistance data corresponding to the device distance, which is defined as second resistance data, wherein the line resistance data is the resistance corresponding to each length of the power supply line used by the user; Acquire current data of the target line, where the current data is the current value of the target line under the power supply voltage value of the power supply line; Calculate the line voltage data, line voltage data = current data × second resistance data; Calculate and determine the power usage data of the equipment: power usage data = power supply data - line voltage data.

[0027] Embodiment 4: This embodiment also discloses a system for executing a smart meter power load analysis method, see Figure 2 ,include: Collection module: obtain the current overall power consumption of users and equipment through smart meters; Storage module: stores data on the user's electricity consumption during the electricity collection cycle; Determination module: determines whether there is any abnormality in the user's electricity consumption; Analysis module: When there is an abnormality in the user's electricity consumption, the user's lines and electrical equipment are analyzed to determine the cause of the abnormal electricity consumption; Warning module: According to the cause of abnormal power consumption, the user will be given corresponding abnormal prompts.

[0028] In this embodiment, based on the electricity consumption data collected by the electric meter, it is determined whether there is an abnormality in the electrical equipment, and the cause of the abnormality in the electrical equipment is determined based on the electricity consumption data. According to the cause of the abnormality in the electrical equipment, the user is promptly notified to make adjustments, thereby avoiding the shortening of the service life of the equipment due to the failure to take timely adjustments, avoiding damage to the equipment due to the failure to detect the abnormality in time, extending the service life of the equipment, reducing the property loss of the user, reducing the fire of the electrical equipment, and avoiding personal injury to personnel caused by fire.

[0029] 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.

[0030] 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 method for analyzing power load of a smart meter, characterized in that: include: Get the user's current overall electricity consumption; Implement historical electricity usage analysis strategies; Obtain and determine the power consumption; If the current overall power consumption is less than the determined power consumption × (1 + 30%), the power consumption is determined to be normal and no abnormal prompt is given; If the current overall power consumption ≥ the determined power consumption × (1 + 30%), the power consumption is determined to be abnormal, and the abnormal analysis strategy is executed to form abnormal analysis data; The abnormality analysis data includes line abnormalities and equipment abnormalities; If the abnormal analysis data indicates that the line is abnormal, the user is prompted that the line is abnormal; If the abnormal analysis data indicates that the equipment is abnormal, the equipment power consumption analysis strategy is executed to generate equipment analysis data; According to the device analysis data, the user is given corresponding abnormal prompts.

2. A smart meter power load analysis method according to claim 1, characterized in that: The historical electricity consumption analysis strategy is specifically as follows: Get the current time point; Set the duration of electricity collection; Calculate the collection time point, which is the current time point - electricity collection duration; The collection time point is taken as the starting time point and the current time point is taken as the ending time point to form a power consumption collection cycle; Set the interval duration; Taking the collection time point as the starting time point, a determination time point is formed at every interval time; Obtain the number of determination time points within the power consumption collection cycle, which is defined as the total number of determinations; Obtain the power consumption corresponding to each determination time point in the power consumption collection cycle, and define it as the analysis power consumption; Calculate the power consumption for determination: power consumption for determination = sum of all analyzed power consumption ÷ total number of determinations.

3. The method for analyzing power load of a smart meter according to claim 1, characterized in that: The abnormal analysis strategy is specifically: Obtain the electricity consumption collection cycle; Extract all judgment time points and total number of judgments within the electricity consumption collection cycle; Obtain all the user's devices connected to the power supply line and define them as analysis devices; Get the current power consumption of each analyzed device and set it as the current power consumption of the device; For each analysis device, the power consumption corresponding to each determination time point in the power consumption collection cycle is obtained and defined as the historical power consumption of the device; Calculate the device judgment power for each analyzed device respectively. The device judgment power = the sum of all device historical power of the analyzed device / the total number of judgments; If the current power of the device is less than the determined power of the device × (1 + 30%), the device is considered to be in normal power consumption; If the current power of the device ≥ the determined power of the device × (1 + 30%), the device is considered to be using abnormal power; The number of analytical devices that determine abnormal power consumption of the equipment is obtained, and is defined as the number of abnormal equipment; If the number of abnormal devices is ≥1, the device is considered abnormal; If the number of abnormal devices is less than 1, the line is determined to be abnormal.

4. The method for analyzing power load of a smart meter according to claim 1, characterized in that: The device power consumption analysis strategy is specifically as follows: Obtain an analysis device for determining abnormal power consumption of the device and define it as the determination device; Obtain the current power of the device to determine the current power consumption; Extract and determine the collection start time of current power consumption and set it as the target collection time; Set the device judgment time; Get the current time point; If the current time point - target collection time ≥ device judgment time, it is judged that the device has been used for too long; If the current time point - target collection time < device determination time, the device usage time is determined to be normal, and the device usage analysis strategy is executed.

5. A smart meter power load analysis method according to claim 4, characterized in that: The device usage analysis strategy is specifically: Obtain the electricity consumption collection cycle; Obtain the change start time and change end time of the determination device; The change start time is taken as the starting time point, and the period between the change start time and the change end time is defined as the use period; The duration corresponding to the usage period is defined as the usage duration; Obtain all usage time periods of the determination device within the power consumption collection cycle, and form a usage time period set according to the sequence of the change start time corresponding to each usage time period; Obtain the time difference between each two adjacent elements in the usage time period set, and define it as the analysis time difference; Calculate the average analysis time difference, average analysis time difference = the sum of all analysis time differences in the use period set ÷ (the number of elements in the use period set - 1); Calculate the average usage time difference, which is the sum of all usage durations in the usage time set ÷ the number of elements in the usage time set; Setting a first determination time difference and a second determination time difference; If the average analysis time difference is ≤ the first judgment time difference × (1 + 20%) or the average use time difference is ≤ the second judgment time difference × (1 + 20%), the equipment operation is judged to be abnormal; If the average analysis time difference > the first judgment time difference × (1 + 20%) and the average usage time difference > the second judgment time difference × (1 + 20%), the device is judged to be operating normally and the device power analysis strategy is executed.

6. A smart meter power load analysis method according to claim 5, characterized in that: The device power analysis strategy is specifically: Execute device power analysis strategies; Obtain power usage data of the determination device; Obtain power supply data of the determination device; If the used power data ≠ the power supply data, it is determined that the line power supply is abnormal; If the power supply data = the power supply data, it is determined that the line power supply is normal, and the target power supply data of the determination device is obtained; If the target power data = the used power data, it is determined that the device is powered normally; If the target power data ≠ the used power data, it is determined that the device power supply is abnormal.

7. A smart meter power load analysis method according to claim 6, characterized in that: The device power supply analysis strategy is specifically: Obtain the power supply line to which the determination device is connected and determine it as the target line; Obtain the location of the power source of the target line and set it as the starting point; Obtain all analysis devices on the target line and define them as line distribution devices; Obtain the interface location of each line distribution device connected to the target line and set it as the analysis location point; Obtain the distance between the analysis position point and the starting position point, which is defined as the power supply length; Sort all line devices according to the value of power supply length from small to large to form a power supply set; Extract the line distribution device corresponding to the first element in the power supply set and define it as the nearest device; Extract the line distribution device corresponding to the last element in the power supply set and define it as the farthest device; Extract the positions of the nearest device and the farthest device, and define them as the nearest position point and the farthest position point respectively; Get the distance between the farthest point and the nearest point, and define it as the interval distance; Obtain the distance between the nearest position point and the starting position point, and define it as the determination distance; Obtain power supply data of the determination device; If the interval distance is ≤ the judgment distance ÷ 3, the power supply loss of the judgment line is small, and the power supply data of the judgment equipment is calculated. The power supply data = the power supply data; If the interval distance is greater than the determination distance ÷ 3, it is determined that the line power loss is large and the loss analysis strategy is executed.

8. A smart meter power load analysis method according to claim 7, characterized in that: The loss analysis strategy is specifically as follows: Obtain the interface location of the device connected to the target line and determine it as the device location point; Get the power supply collection; Extract the nearest location point; If the device location point = the nearest location point, obtain the determination distance; Obtain line resistance data corresponding to the determination distance and define it as first resistance data; Obtain current data of the target line; Calculate line voltage data, line voltage data = current data × first resistance data; Calculate and determine the actual power data of the equipment, actual power data = power supply data - line voltage data; If the actual power data is less than or equal to the power supply data × 95%, the power data used by the equipment is calculated and determined, and the power data used = the actual power data; If the actual power data>power supply data×95%, then calculate the power data of the equipment, and the power data=power supply data; If the device location point ≠ the nearest location point, calculate the device distance, device distance = device location point - starting location point; Obtain line resistance data corresponding to the device distance and set it as second resistance data; Obtain current data of the target line; Calculate the line voltage data, line voltage data = current data × second resistance data; Calculate and determine the power usage data of the equipment: power usage data = power supply data - line voltage data.

9. A system for executing the smart meter power load analysis method according to claim 1, characterized in that: include: Collection module: obtain the current overall power consumption of users and equipment through smart meters; Storage module: stores data on the user's electricity consumption during the electricity collection cycle; Determination module: determines whether there is any abnormality in the user's electricity consumption; Analysis module: When there is an abnormality in the user's electricity consumption, the user's lines and electrical equipment are analyzed to determine the cause of the abnormal electricity consumption; Warning module: According to the cause of abnormal power consumption, the user will be given corresponding abnormal prompts.

Images