Smart socket power status real-time monitoring system

Abstract

The present invention discloses a real-time monitoring system for the power supply status of an intelligent socket, which relates to the technical field of socket monitoring. The regional monitoring module generates an abnormality score for each use area, and analyzes whether the use area needs to be disabled based on the abnormality score. After the calculation module obtains the historical data of each sub-area, it generates a weight for each sub-area, and obtains the overall abnormality coefficient of the socket after weighted calculation of the abnormality scores of all sub-areas, and analyzes the socket circuit operation score. The socket operation prediction module comprehensively analyzes the overall abnormality coefficient of the socket and the circuit operation score, predicts the development trend of the socket operation status, and generates a corresponding management strategy in combination with the current operation status of the socket. The monitoring system comprehensively analyzes the overall abnormality coefficient and the real-time circuit operation score, analyzes the development trend of the socket operation status, predicts potential faults or abnormal states in advance, and effectively improves the system's ability to evaluate the overall safety and stability of the socket, thereby better ensuring the safe operation of the socket.

Description

Technical Field

[0001] The present invention relates to the technical field of socket monitoring, and in particular to a real-time monitoring system for power supply status of an intelligent socket. Background Art

[0002] With the continuous development of smart home, Internet of Things technology and energy management concepts, smart sockets have come into being. As a device that integrates power control, energy consumption monitoring, communication connection and other functions, smart sockets have become an important part of modern homes, office buildings and industrial scenes. The monitoring system is mainly used to monitor and control the status of smart sockets in real time, ensure electricity safety, improve energy efficiency, and meet the needs of smart homes, industrial monitoring and commercial applications.

[0003] The prior art has the following defects:

[0004] Traditional intelligent socket monitoring systems usually monitor the entire socket as a whole, and cannot be refined to each independent socket (sub-area) inside the socket. They only focus on current real-time data and lack in-depth analysis of historical operation data, resulting in: failure to identify long-term operation trends, potential anomalies may be ignored, failure to predict future operating status, lack of forward-looking early warning and management capabilities, and thus failure to ensure the safety and stability of socket operation.

[0005] Based on this, the present invention proposes a real-time monitoring system for the power status of an intelligent socket, which comprehensively considers the overall abnormality coefficient and the real-time circuit operation score, analyzes the development trend of the socket's operating status, predicts potential faults or abnormal conditions in advance, and effectively improves the system's ability to evaluate the overall safety and stability of the socket, thereby better ensuring the safe operation of the socket. Summary of the invention

[0006] The purpose of the present invention is to provide a real-time monitoring system for the power status of an intelligent socket to solve the deficiencies in the background technology.

[0007] In order to achieve the above object, the present invention provides the following technical solutions: a real-time monitoring system for the power status of an intelligent socket, comprising a region division module, a region monitoring module, a calculation module, and a socket operation prediction module;

[0008] Area division module: Mark each socket of the socket as a separate sub-area. When the socket is in use, record the operating status of each sub-area and divide the sub-area into an idle area or a used area.

[0009] Area monitoring module: After collecting multiple data of the use area in real time, an abnormal score is generated for each use area. Based on the abnormal score, it is analyzed whether the use area needs to be suspended, and corresponding decisions are made according to the analysis results;

[0010] Calculation module: After obtaining the historical data of each sub-area, a weight is generated for each sub-area, and the overall abnormality coefficient of the socket is obtained after weighted calculation of the abnormality scores of all sub-areas. After collecting the real-time circuit data of the socket, the socket circuit operation score is analyzed;

[0011] Socket operation prediction module: After comprehensively analyzing the overall abnormality coefficient of the socket and the circuit operation score, the operating status development trend of the socket is predicted, and the corresponding management strategy is generated based on the current operating status of the socket.

[0012] In a preferred embodiment, after the socket operation prediction module obtains the overall abnormality coefficient of the socket and the circuit operation score, it comprehensively calculates and obtains the state factor, which is expressed as: , where is the state factor, is the overall abnormal coefficient, Score the circuit operation, , are the adjustment coefficients of the overall abnormality coefficient and the circuit operation score, respectively, and , All are greater than 0;

[0013] The obtained status factor is compared with the preset abnormal threshold. If the status factor is less than or equal to the status threshold, it is predicted that the operating status of the socket is developing towards a fault trend. If the status factor is greater than the status threshold, it is predicted that the operating status of the socket is developing towards a stable operation trend. When the operating status of the socket is predicted to develop towards a fault trend, the monitoring system automatically disconnects the power supply of the socket and sends a warning signal to the user.

[0014] In a preferred embodiment, the area monitoring module collects multiple data of the use area in real time, the multiple data including the degree of damage of the power reed, the vibration amplitude of the power reed and the temperature of the power reed, and normalizes the degree of damage of the power reed, the vibration amplitude of the power reed and the temperature of the power reed so that the value ranges of the degree of damage of the power reed, the vibration amplitude of the power reed and the temperature of the power reed are mapped to [0,1], and the normalized value of the degree of damage of the power reed, the normalized value of the vibration amplitude of the power reed and the normalized value of the temperature of the power reed are obtained to obtain the abnormal score of the use area by summing them.

[0015] In a preferred embodiment, the calculation module performs weighted calculation on the abnormality scores of all sub-areas to obtain the overall abnormality coefficient of the socket, which is expressed as: , where is the overall abnormal coefficient, is the number of sub-regions, For the The abnormality score of each sub-region, For the The weight of each sub-region.

[0016] In a preferred embodiment, the calculation module obtains the historical usage frequency and the historical failure frequency of each sub-area, sums the historical usage frequency and the historical failure frequency to obtain the impact index, sums the impact indexes of all sub-areas to obtain the total index, and divides the impact index by the total index to obtain the weight of each sub-area.

[0017] In a preferred embodiment, the calculation module obtains the real-time power output current fluctuation assignment and the voltage cumulative deviation index of the socket, normalizes the real-time power output current fluctuation assignment and the voltage cumulative deviation index, and sums the normalized real-time power output current fluctuation assignment and the voltage cumulative deviation index to obtain the circuit operation score.

[0018] In a preferred embodiment, the calculation logic of the historical usage frequency is: obtain the historical usage times of the sub-area, and obtain the historical usage frequency by dividing the historical usage times by the usage time of the upper socket. The calculation logic of the historical failure frequency is: obtain the historical failure times of the sub-area, and obtain the historical failure frequency by dividing the historical failure times by the usage time of the upper socket.

[0019] In a preferred embodiment, the area division module uses each socket of the socket as a sub-area, assigns a unique identifier, namely: {area 1, area 2, ..., area n}, creates initial state information of the sub-area by initialization, and marks it as an idle area;

[0020] Monitor the current, voltage, and power supply data of each sub-area in real time, collect the current power status of the socket through the sensor, and if the sub-area detects that the current or power is not zero, judge that the sub-area has entered the use area state; if the sub-area detects that the current, voltage, and power are all zero, judge that the sub-area is in the idle area state, record the current sub-area operation status in real time to the system database, and update the status mark;

[0021] The status of each sub-area and the corresponding power data are stored in the database to form a time series record.

[0022] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0023] After the regional monitoring module collects multiple data of the use area in real time, the present invention generates an abnormality score for each use area, analyzes whether the use area needs to be disabled based on the abnormality score, and generates corresponding decisions based on the analysis results. After the calculation module obtains the historical data of each sub-area, it generates a weight for each sub-area, and obtains the overall abnormality coefficient of the socket after weighted calculation of the abnormality scores of all sub-areas. After collecting the real-time circuit data of the socket, the socket circuit operation score is analyzed. The socket operation prediction module comprehensively analyzes the overall abnormality coefficient of the socket and the circuit operation score, predicts the development trend of the socket's operating status, and generates corresponding management strategies in combination with the current operating status of the socket. The monitoring system comprehensively analyzes the overall abnormality coefficient and the real-time circuit operation score, analyzes the development trend of the socket's operating status, predicts potential faults or abnormal states in advance, and effectively improves the system's ability to evaluate the overall safety and stability of the socket, thereby better ensuring the safe operation of the socket. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0025] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0026] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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.

[0027] Example 1: Please refer to Figure 1 As shown, the real-time monitoring system for the power status of the smart socket described in this embodiment includes a region division module, a region monitoring module, a calculation module, and a socket operation prediction module;

[0028] Area division module: Mark each socket of the socket as a separate sub-area. During the use of the socket, record the operating status of each sub-area and divide the sub-area into idle area or use area. The area division result is sent to the area monitoring module.

[0029] Area monitoring module: After collecting multiple data of the use area in real time, an abnormal score is generated for each use area. Based on the abnormal score, it is analyzed whether the use area needs to be deactivated. The corresponding decision is made according to the analysis results, and the abnormal score is sent to the calculation module;

[0030] Calculation module: After obtaining the historical data of each sub-area, a weight is generated for each sub-area, and the overall abnormality coefficient of the socket is obtained after weighted calculation of the abnormality scores of all sub-areas. After collecting the real-time circuit data of the socket, the socket circuit operation score is analyzed, and the overall abnormality coefficient and circuit operation score are sent to the socket operation prediction module;

[0031] Socket operation prediction module: After comprehensively analyzing the overall abnormality coefficient of the socket and the circuit operation score, the operating status development trend of the socket is predicted, and the corresponding management strategy is generated based on the current operating status of the socket.

[0032] This application generates an abnormality score for each use area after collecting multiple data of the use area in real time through the area monitoring module, analyzes whether the use area needs to be disabled based on the abnormality score, and generates corresponding decisions based on the analysis results. After the calculation module obtains the historical data of each sub-area, it generates a weight for each sub-area, and obtains the overall abnormality coefficient of the socket after weighted calculation of the abnormality scores of all sub-areas. After collecting the real-time circuit data of the socket, the socket circuit operation score is analyzed. The socket operation prediction module comprehensively analyzes the overall abnormality coefficient of the socket and the circuit operation score, predicts the development trend of the socket's operating status, and generates corresponding management strategies based on the current operating status of the socket. The monitoring system comprehensively analyzes the overall abnormality coefficient and the real-time circuit operation score, analyzes the development trend of the socket's operating status, predicts potential faults or abnormal conditions in advance, and effectively improves the system's ability to evaluate the overall safety and stability of the socket, thereby better ensuring the safe operation of the socket.

[0033] The specific workflow of the monitoring system is as follows:

[0034] The monitoring system marks each socket of the socket as a separate sub-area. During the use of the socket, the operating status of each sub-area is recorded, and the sub-area is divided into an idle area or a use area. After collecting multiple data of the use area in real time, an abnormality score is generated for each use area. Based on the abnormality score, it is analyzed whether the use area needs to be deactivated, and the corresponding decision is generated according to the analysis result. After obtaining the historical data of each sub-area, a weight is generated for each sub-area. The overall abnormality coefficient of the socket is obtained after weighted calculation of the abnormality scores of all sub-areas. After collecting the real-time circuit data of the socket, the circuit operation score of the socket is analyzed. After comprehensively analyzing the overall abnormality coefficient of the socket and the circuit operation score, the development trend of the socket's operating status is predicted, and the corresponding management strategy is generated in combination with the current operating status of the socket.

[0035] Embodiment 2: The area division module marks each socket of the socket as a separate sub-area, records the operating status of each sub-area during the use of the socket, and divides the sub-area into an idle area or a used area;

[0036] The area division module treats each socket of the socket as a sub-area and assigns a unique identifier (for example, number: area 1, area 2, ... area n). Through system initialization, the initial state information of the sub-area is created, marked as an idle area, and default parameters (such as current, voltage, usage status, etc.) are set.

[0037] Monitor the power data of each sub-area such as current, voltage, and power in real time, and collect the current power status of the socket through sensors. If the sub-area detects that the current or power is not zero, the sub-area is judged to have entered the use area state. If the sub-area detects that the current, voltage, and power are all zero, the sub-area is judged to be in the idle area state. The current sub-area operation status (in use / idle) is recorded in real time in the system database, and the status mark is updated.

[0038] Based on the data collected in real time, the system makes judgments based on the presence or absence of parameters such as current, voltage, and power: if there is power input / output at the socket and the load data is greater than the threshold, the socket is considered to be in use. If there is no power input / output at the socket and the load data is less than or equal to the threshold, the socket is considered to be idle. The system continuously monitors and dynamically updates the status of the sub-areas. When parameters such as current and power change, the idle / in use status division is readjusted.

[0039] The status (used / idle) and corresponding power data of each sub-area are stored in the database to form a time series record, including: sub-area number; current status (idle / used); power parameters such as current, voltage, and power; and status change timestamp, which provides the historical operating status data of the sub-area for subsequent analysis, facilitating further evaluation of usage frequency, anomaly detection, etc.

[0040] By continuously collecting the operating data of each sub-area, the status update mechanism is triggered when significant changes are detected in parameters such as socket current, voltage, and power.

[0041] State change response:

[0042] Idle → Used: When the current or power is detected to exceed the zero value threshold, the corresponding sub-area is immediately marked as a used area.

[0043] Use → Idle: When it is detected that the current or power returns to zero or is below the threshold, the corresponding sub-area is re-marked as an idle area.

[0044] Feedback sub-area status changes to the system interface or background management module in real time for user viewing.

[0045] For example, suppose we have a smart socket with three outlets. The system treats each outlet as an independent sub-area and assigns it a unique identifier:

[0046] Area 1 (Socket 1);

[0047] Area 2 (Socket 2);

[0048] Zone 3 (Socket 3).

[0049] When the system starts, the zone division module initializes each socket:

[0050] Region 1 → Initial state: Idle; Initial current, voltage, power: 0;

[0051] Region 2 → Initial state: Idle; Initial current, voltage, power: 0;

[0052] Region 3 → Initial state: Idle; Initial current, voltage, power: 0;

[0053] The system records the above initial information into the database.

[0054] Assuming that users gradually connect to the device, the system begins to collect parameters such as current, voltage, and power of each socket in real time:

[0055] Area 1 access equipment (such as desk lamp);

[0056] Detected power parameters:

[0057] Current: 0.2A;

[0058] Voltage: 220V;

[0059] Power: 44W;

[0060] Status judgment: Current and power are not zero → Zone 1 status changes to "Used Zone".

[0061] Status Update:

[0062] Area 1: Status → Use; Current: 0.2A; Voltage: 220V; Power: 44W; Change timestamp: 2024-06-17 08:01:00;

[0063] System feedback: The status change of area 1 is updated in real time to the system interface and marked as "used area".

[0064] No device access in area 2:

[0065] Detected power parameters:

[0066] Current: 0A;

[0067] Voltage: 0V;

[0068] Power: 0W;

[0069] Status judgment: Current, voltage, and power are all zero → Area 2 status remains "Idle Area".

[0070] Status update: No changes.

[0071] System feedback: The status of area 2 is displayed as "Idle Area".

[0072] Zone 3 access equipment (such as chargers);

[0073] Detected power parameters:

[0074] Current: 0.1A;

[0075] Voltage: 220V;

[0076] Power: 22W;

[0077] Status judgment: Current and power are not zero → Zone 3 status changes to "Used Zone".

[0078] Status Update:

[0079] Area 3: Status → Use; Current: 0.1A; Voltage: 220V; Power: 22W; Change timestamp: 2024-06-17 08:02:00

[0080] System feedback: The status change of area 3 is displayed in real time on the system interface, marked as "Used Area".

[0081] Example of state change:

[0082] The equipment in zone 1 is powered off (the lamp is turned off);

[0083] Detected power parameters:

[0084] Current: 0A;

[0085] Voltage: 0V;

[0086] Power: 0W;

[0087] Status judgment: Current, voltage, and power are all zero → Area 1 status changes to "Idle Area".

[0088] Status Update:

[0089] Region 1: Status → Idle; Current: 0A; Voltage: 0V; Power: 0W; Change timestamp: 2024-06-17 08:30:00;

[0090] System feedback: The status of area 1 is changed to "free area" in real time, and the system interface is updated synchronously.

[0091] After the regional monitoring module collects multiple data of the use area in real time, it generates an abnormal score for each use area, analyzes whether the use area needs to be deactivated based on the abnormal score, and makes corresponding decisions based on the analysis results;

[0092] The regional monitoring module collects multiple data of the use area in real time, including the damage degree of the connection spring, the vibration amplitude of the connection spring and the temperature of the connection spring, and normalizes the damage degree of the connection spring, the vibration amplitude of the connection spring and the temperature of the connection spring, so that the value range of the damage degree of the connection spring, the vibration amplitude of the connection spring and the temperature of the connection spring is mapped to [0,1], and the normalized value of the damage degree of the connection spring, the normalized value of the vibration amplitude of the connection spring and the normalized value of the connection spring temperature are obtained and summed to obtain the abnormal score of the use area;

[0093] The larger the anomaly score, the more serious the anomaly in the usage area. The regional monitoring module compares the anomaly score with the preset scoring threshold. The scoring threshold is used to analyze whether there is an anomaly in the usage area. If the anomaly score is less than or equal to the scoring threshold, it is analyzed that there is no anomaly in the usage area and there is no need to deactivate the usage area. If the anomaly score is greater than the scoring threshold, it is analyzed that there is an anomaly in the usage area and it is necessary to deactivate the usage area.

[0094] The damage degree of the contact spring is obtained by deploying a micro resistance detection sensor at the contact spring, and judging the damage degree by monitoring the change of contact resistance. When the contact spring is damaged or worn, the contact resistance will increase. The system evaluates the damage degree through the real-time change of the resistance value, that is, the damage degree of the contact spring is the contact resistance value.

[0095] The vibration amplitude of the power-connected reed is obtained by installing a miniature acceleration sensor or a vibration sensor near the power-connected reed to collect the vibration data of the reed in real time.

[0096] The temperature of the contact reed is obtained by installing a micro-thermistor sensor near the contact reed to monitor the temperature of the contact reed in real time.

[0097] The relationship between the damage degree of the power spring and the abnormality of the use area:

[0098] The degree of damage to the contact reed reflects the degree of wear or damage to the contact reed inside the socket. The higher the degree of damage, the greater the risk of abnormal operation of the socket.

[0099] Normal state: low degree of damage, stable contact, and normal current transmission.

[0100] Minor anomalies: The degree of damage gradually increases, which may cause poor contact in current transmission and occasional power fluctuations in the socket.

[0101] Severe abnormality: The damage degree reaches a high threshold, the contact reed may be broken or damaged, the socket cannot supply power normally, and may cause a short circuit or equipment failure.

[0102] The degree of damage of the power spring is positively correlated with the degree of abnormality in the use area. The higher the degree of damage, the greater the risk of abnormality, and maintenance or decommissioning is required in advance.

[0103] The relationship between the vibration amplitude of the power spring and the abnormality of the use area:

[0104] The vibration amplitude of the power reed reflects the mechanical stability of the contact reed inside the socket. When the vibration amplitude is large, the contact stability is reduced, which can easily lead to unstable power transmission.

[0105] Normal state: The vibration amplitude is small, the contact reed remains mechanically stable, and the current transmission is smooth.

[0106] Minor abnormality: The vibration amplitude increases, resulting in unstable contact points, which may cause current fluctuations and affect the power supply quality.

[0107] Serious abnormality: The vibration amplitude is too large, and the contact reed shakes frequently, causing the contact point to loosen, power outage or power supply interruption, or even damage to the socket.

[0108] The vibration amplitude of the power spring is positively correlated with the degree of abnormality in the use area. The larger the vibration amplitude, the higher the abnormality risk and the worse the power supply stability.

[0109] The relationship between the temperature of the power reed and the abnormality of the use area:

[0110] The temperature of the power reed reflects the heating of the socket during operation. Abnormal temperature is usually related to poor contact, excessive current or excessive load.

[0111] Normal status: The temperature is within the safe range, the contact is good, and the current transmission is normal.

[0112] Slight abnormality: The temperature rises slightly, which may be caused by increased contact resistance or gradual increase in load.

[0113] Severe abnormality: The temperature continues to rise and exceeds the safety threshold, indicating that the contact reed has problems such as poor contact, excessive load or current overload, which may cause overheating damage or fire hazards.

[0114] The temperature of the power reed is positively correlated with the degree of abnormality in the use area. The higher the temperature, the greater the risk of abnormality. It is necessary to check the socket load and operating status in time.

[0115] After the calculation module obtains the historical data of each sub-area, it generates a weight for each sub-area, and obtains the overall abnormality coefficient of the socket after weighted calculation of the abnormality scores of all sub-areas. After collecting the real-time circuit data of the socket, it analyzes the socket circuit operation score;

[0116] The calculation module obtains the historical usage frequency and the historical failure frequency of each sub-area, sums the historical usage frequency and the historical failure frequency to obtain the impact index, sums the impact indexes of all sub-areas to obtain the total index, and divides the impact index by the total index to obtain the weight of each sub-area;

[0117] The calculation logic of historical usage frequency is as follows: obtain the historical usage times of the sub-area, and divide the historical usage times by the usage time of the socket (i.e., the time since the socket was put into use) to obtain the historical usage frequency. The greater the historical usage frequency, the more likely the sub-area is to be used, and the greater the weight. The calculation logic of historical fault frequency is as follows: obtain the historical fault times of the sub-area, and divide the historical fault times by the usage time of the socket (i.e., the time since the socket was put into use) to obtain the historical fault frequency. The greater the historical fault frequency, the more likely the sub-area is to have faults, and the greater the weight.

[0118] The calculation module calculates the weighted abnormality scores of all sub-areas to obtain the overall abnormality coefficient of the socket, which is expressed as: , where is the overall anomaly coefficient, is the number of sub-regions, For the The abnormality score of each sub-region, For the The weight of each sub-region.

[0119] The calculation module obtains the real-time power supply output current fluctuation assignment and the voltage cumulative deviation index of the socket, normalizes the real-time power supply output current fluctuation assignment and the voltage cumulative deviation index, and sums the normalized real-time power supply output current fluctuation assignment and the voltage cumulative deviation index to obtain the circuit operation score.

[0120] The calculation expression for the real-time power supply output current fluctuation assignment is: , where Assign values ​​to real-time power supply output current fluctuations, For the The current value obtained at each time point, is the number of time points, The current average value is assigned to the real-time power supply output current fluctuation. The more obvious the current fluctuation of the socket is during the monitoring period, the more abnormalities may exist:

[0121] The internal reed of the socket is worn, oxidized, deformed, etc., resulting in unstable contact. Discontinuity or fluctuation occurs during current transmission, and the standard deviation increases. This may cause intermittent power supply, resulting in unstable equipment operation or overheating of the socket. The electrical equipment connected to the socket has operating state fluctuations, such as frequent start and stop of motor equipment, or large changes in equipment load. The current fluctuation amplitude is obvious, manifested as frequent rises and falls. Accelerate the aging of the socket contact reed, and may also cause voltage fluctuations, affecting other electrical equipment.

[0122] The load connected to the socket exceeds its rated carrying capacity, resulting in increased current fluctuations. The current value continuously approaches or exceeds the rated threshold and fluctuates frequently. The socket temperature rises, which can easily lead to thermal damage, melting or fire hazards. There are problems such as short circuits, open circuits, poor solder joints or aging lines in the socket circuit, which affect the current stability. The current fluctuates abnormally, and may increase or decrease suddenly or jitter frequently. The power supply is unstable, and even causes the device power supply to be interrupted or the socket cannot operate normally.

[0123] The external grid voltage is unstable, which affects the current transmission process. The current fluctuates irregularly during the monitoring period. The socket power supply is unstable, which affects the normal operation of the connected equipment and may accelerate the aging of the internal components of the socket. The mechanical stability of the internal power spring of the socket is poor, and contact vibration is caused by external vibration or loose internal structure. The current transmission is unstable, which is manifested as a small fluctuation in current. Long-term operation may cause poor contact, which in turn causes abnormal current jitter or intermittent.

[0124] Non-linear load devices (such as switching power supplies and frequency conversion devices) connected to the socket generate harmonic currents, which cause the current waveform to be distorted. The current fluctuates abnormally, and the high-order harmonic components in the spectrum increase. Harmonic interference will affect the power quality of the socket and may cause the socket to heat up or the power supply equipment to malfunction.

[0125] The calculation expression of voltage cumulative deviation index is: , where is the voltage cumulative deviation index, is the real-time voltage value, which changes with time. is the rated voltage or target voltage, , The voltage cumulative deviation index is the starting point and end point of the time. The larger the voltage cumulative deviation index is, the longer the cumulative voltage deviation of the socket during use is. The following abnormalities may exist:

[0126] The external power supply grid has voltage instability, such as voltage that is too high, too low, or fluctuates frequently. The socket voltage deviates from the rated voltage value, and the deviation continues to accumulate, resulting in an increase in the voltage cumulative deviation index. The operation of electrical equipment is unstable, and malfunctions or power outages are prone to occur. This may cause the power quality to deteriorate and affect the life of the equipment. The impedance of the socket or internal circuit increases (such as aging of the wiring, poor contact, etc.), causing a significant increase in voltage drop. When the load is running, the voltage value continues to be lower than the rated voltage, and the cumulative deviation index increases. The voltage drop causes the equipment to fail to start or operate normally. Long-term low voltage in the socket may accelerate the aging of the power reed and affect the stability of power supply. The load power connected to the socket exceeds its rated load capacity, resulting in a significant drop in voltage. The socket voltage continues to be lower than the normal range, and the cumulative deviation index increases. Low power supply voltage may affect the working efficiency of the equipment or even cause damage to the equipment. The internal circuit of the socket is prone to overheating, posing a safety hazard.

[0127] The socket reeds may have poor contact due to wear, oxidation or deformation, which affects voltage transmission. The voltage value is unstable, with continuous deviations, and the deviation accumulation index increases. Voltage deviations cause unstable or interrupted power supply to the equipment, increasing contact resistance, further exacerbating internal heating of the socket and leading to failure risks. Non-linear loads (such as switching power supplies, inverters, LED power supplies, etc.) cause voltage waveform distortion and harmonic interference. Voltage deviations fluctuate frequently and accumulate, resulting in an increase in the voltage accumulation deviation index. Harmonic interference affects the quality of the power supply voltage and reduces the performance of the equipment. Long-term harmonic interference may cause heating of socket components and shorten the life of the socket.

[0128] The internal circuit of the socket is aging, the solder joint is poor or the insulation is damaged, resulting in unstable voltage transmission. The voltage deviates from the normal value, and the cumulative deviation index continues to rise. Unstable voltage can easily cause abnormal power supply of equipment or socket failure. There are safety hazards such as short circuit and open circuit. When the socket is powered, the load equipment starts or the current shock is large, resulting in instantaneous voltage deviation. Although the instantaneous voltage deviation is large, if it occurs frequently, the cumulative deviation index will also increase significantly. The instantaneous voltage deviation may cause difficulty in starting the equipment or protective shutdown. Long-term voltage shock affects the stability of the socket and the life of the equipment.

[0129] The socket operation prediction module comprehensively analyzes the overall abnormality coefficient of the socket and the circuit operation score, predicts the development trend of the socket's operating status, and generates corresponding management strategies based on the socket's current operating status;

[0130] After the socket operation prediction module obtains the overall abnormal coefficient of the socket and the circuit operation score, it calculates and obtains the state factor comprehensively. The expression is: , where is the state factor, is the overall anomaly coefficient, Score the circuit operation, , are the adjustment coefficients of the overall abnormality coefficient and the circuit operation score, respectively, and , All are greater than 0;

[0131] The larger the status factor is, the more serious the overall operating status of the socket has declined. The obtained status factor is compared with the preset abnormal threshold. If the status factor is less than or equal to the status threshold, the operating status of the socket is predicted to develop towards a fault trend. If the status factor is greater than the status threshold, the operating status of the socket is predicted to develop towards a stable operating trend. When the operating status of the socket is predicted to develop towards a fault trend, the monitoring system automatically disconnects the power supply of the socket and sends a warning signal to the user.

[0132] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0133] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0134] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. Real-time monitoring system for power status of intelligent socket, characterized by: It includes area division module, area monitoring module, calculation module and socket operation prediction module; Area division module: Mark each socket of the socket as a separate sub-area. When the socket is in use, record the operating status of each sub-area and divide the sub-area into idle area or use area. Area monitoring module: The normalized value of the damage degree of the power reed, the normalized value of the vibration amplitude of the power reed, and the normalized value of the temperature of the power reed are summed to obtain the abnormal score of the use area. Based on the abnormal score, it is analyzed whether the use area needs to be stopped, and corresponding decisions are generated according to the analysis results; Calculation module: sum the historical usage frequency and the historical fault frequency to obtain the impact index, sum the impact indexes of all sub-areas to obtain the total index, divide the impact index by the total index to obtain the weight of each sub-area, calculate the weighted abnormality scores of all sub-areas to obtain the overall abnormality coefficient of the socket, and sum the normalized real-time power output current fluctuation assignment and the voltage cumulative deviation index to obtain the circuit operation score; The calculation logic of the historical usage frequency is as follows: obtain the historical usage count of the sub-area, and divide the historical usage count by the usage time of the socket to obtain the historical usage frequency; Socket operation prediction module: After obtaining the overall abnormal coefficient of the socket and the circuit operation score, the state factor is obtained by comprehensive calculation. The expression is: , where is the state factor, is the overall anomaly coefficient, Score the circuit operation, , are the adjustment coefficients of the overall abnormality coefficient and the circuit operation score, respectively, and , All are greater than 0; The obtained state factor is compared with the preset abnormal threshold. If the state factor is less than or equal to the state threshold, it is predicted that the operating state of the socket is developing towards a fault trend. If the state factor is greater than the state threshold, it is predicted that the operating state of the socket is developing towards a stable operation trend.

2. The real-time monitoring system for power status of a smart socket according to claim 1, characterized in that: The area monitoring module collects multiple data of the use area in real time, including the damage degree of the connection spring, the vibration amplitude of the connection spring and the temperature of the connection spring, and normalizes the damage degree of the connection spring, the vibration amplitude of the connection spring and the temperature of the connection spring, so that the value ranges of the damage degree of the connection spring, the vibration amplitude of the connection spring and the temperature of the connection spring are mapped to [0,1], and the normalized value of the damage degree of the connection spring, the normalized value of the vibration amplitude of the connection spring and the normalized value of the temperature of the connection spring are obtained and summed to obtain the abnormal score of the use area.

3. The real-time monitoring system for power status of a smart socket according to claim 2, characterized in that: The calculation module performs weighted calculation on the abnormal scores of all sub-areas to obtain the overall abnormal coefficient of the socket, which is expressed as: , where is the overall anomaly coefficient, is the number of sub-regions, For the The abnormality score of each sub-region, For the The weight of each sub-region.

4. The real-time monitoring system for power status of a smart socket according to claim 3, characterized in that: The calculation module obtains the historical usage frequency and the historical failure frequency of each sub-area, sums the historical usage frequency and the historical failure frequency to obtain the influence index, sums the influence indexes of all sub-areas to obtain the index sum, and divides the influence index by the index sum to obtain the weight of each sub-area.

5. The real-time monitoring system for power status of a smart socket according to claim 4, characterized in that: The calculation module obtains the real-time power supply output current fluctuation assignment and the voltage cumulative deviation index of the socket, normalizes the real-time power supply output current fluctuation assignment and the voltage cumulative deviation index, and sums the normalized real-time power supply output current fluctuation assignment and the voltage cumulative deviation index to obtain the circuit operation score.

6. The real-time monitoring system for power status of a smart socket according to claim 5, characterized in that: The calculation logic of the historical usage frequency is: obtain the historical usage times of the sub-area, and obtain the historical usage frequency by dividing the historical usage times by the usage time of the upper socket. The calculation logic of the historical failure frequency is: obtain the historical failure times of the sub-area, and obtain the historical failure frequency by dividing the historical failure times by the usage time of the upper socket.

7. The real-time monitoring system for power status of a smart socket according to claim 6, characterized in that: The area division module treats each socket of the socket as a sub-area, assigns a unique identifier, namely: {area 1, area 2, ..., area n}, creates initial state information of the sub-area by initialization, and marks it as an idle area; Monitor the current, voltage, and power supply data of each sub-area in real time, collect the current power status of the socket through the sensor, and if the sub-area detects that the current or power is not zero, judge that the sub-area has entered the use area state; if the sub-area detects that the current, voltage, and power are all zero, judge that the sub-area is in the idle area state, record the current sub-area operation status in real time to the system database, and update the status mark; The status of each sub-area and the corresponding power data are stored in the database to form a time series record.

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