Current loop state comprehensive monitoring device

Abstract

The invention discloses a comprehensive monitoring device for a current loop state. The comprehensive monitoring device comprises a high-precision multi-range current measuring circuit, an MCU main control chip circuit, an output relay, a device power supply circuit, a touch screen socket, a current transformer, a wiring terminal, a 220V input wiring terminal, a touch screen, an MCU program downloading port and a 5V-to-3. 3V stabilized voltage supply. The high-precision multi-range current measurement circuit collects and processes current signals through the signal amplification module and the range switching module, and is connected with the MCU main control chip circuit for data analysis and logic processing. The MCU main control chip circuit outputs alarm signals through a relay, is linked with the touch screen, the sound-light alarm module and the communication interface module, and displays or transmits alarm information to a remote monitoring system. According to the invention, current loop abnormity can be monitored in real time, abnormal information can be rapidly fed back through a plurality of alarm modes, remote communication is supported, and the comprehensiveness and the intelligent level of monitoring are improved.

Description

Technical Field

[0001] The invention belongs to the technical field of power system monitoring and automation, and in particular relates to a current loop state comprehensive monitoring device. Background Art

[0002] At present, the CT disconnection judgment criteria are only determined within the protection, measurement and control devices, and cannot be fully monitored, leaving safety hazards. The device cannot detect the simultaneous disconnection of the three phases, cannot monitor the open circuit of the standby current loop winding, has great limitations, and cannot monitor the current loop insulation reduction causing the current loop N line and ground line to have current. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a current circuit state comprehensive monitoring device which can monitor current circuit abnormalities in real time, can quickly feedback abnormal information, and can support remote communication, thereby improving the comprehensiveness and intelligence level of monitoring.

[0004] The technical solution of the present invention is:

[0005] A current loop state comprehensive monitoring device comprises: a high-precision multi-range current measurement circuit, an MCU main control chip circuit, an output relay, a device power supply circuit, a touch screen socket, a current transformer, a wiring terminal, a 220V input wiring terminal, a touch screen, an MCU program download port and a 5V to 3.3V voltage-stabilized power supply, wherein the high-precision multi-range current measurement circuit is connected to the MCU main control chip circuit, the MCU main control chip circuit is connected to the output relay, the output relay is connected to the wiring terminal, the device power supply circuit is respectively connected to the 220V input wiring terminal and the 5V to 3.3V voltage-stabilized power supply, the touch screen socket is respectively connected to the MCU main control chip circuit and the touch screen, the current transformer is arranged on the current loop secondary line and is electrically connected to the wiring terminal, the 220V input wiring terminal is also connected to the 220V AC power supply, the MCU program download port is respectively connected to the MCU main control chip circuit and the touch screen, and the 5V to 3.3V voltage-stabilized power supply is connected to the MCU main control chip circuit.

[0006] Furthermore, it also includes an alarm system, which includes: a logic processing module, an alarm signal output module, a touch screen display module, an audio-visual alarm module and a communication interface module, the logic processing module is integrated in the MCU main control chip circuit and is respectively connected to the high-precision multi-range current measurement circuit and the current transformer, the alarm signal output module is integrated in the output relay and is connected to the MCU main control chip circuit, the touch screen display module is connected to the touch screen through the touch screen socket or the MCU program download port, the audio-visual alarm module is connected to the MCU main control chip circuit and controls the issuance and closing of sound or light signals through GPIO, the communication interface module is connected to the MCU main control chip circuit through an expansion interface, and the communication interface module transmits the alarm information to the remote monitoring system or cloud platform through RS485, Ethernet, or Wi-Fi.

[0007] Furthermore, the high-precision multi-range current measurement circuit is an OPA333 (U1) operational amplifier.

[0008] Furthermore, the MCU main control chip circuit is a STM32F070F6P6 microcontroller.

[0009] Furthermore, the high-precision multi-range current measurement circuit includes a signal amplification module and a range switching module, the signal amplification module is respectively connected to the range switching module and the ADC input end of the MCU main control chip circuit, and the range switching module is connected to the current transformer through a wiring terminal.

[0010] Furthermore, the 5V to 3.3V regulated power supply includes a low voltage dropout linear regulator, and the output voltage fluctuation of the 5V to 3.3V regulated power supply is less than ±0.1V.

[0011] Furthermore, the MCU program download port is connected to the MCU main control chip circuit via a serial communication protocol UART or JTAG.

[0012] An alarm method of an alarm system of a current loop state comprehensive monitoring device, comprising the following steps:

[0013] Step 1: Define the alarm threshold: Set I threshold It is the current alarm threshold, and the user adjusts the current alarm threshold through the touch screen;

[0014] Step 2: Real-time monitoring of current value: The current value I collected by the current transformer measured ;

[0015] Step 3: Calculate alarm conditions, which include early warning conditions, severe alarm conditions, and multiple abnormal alarm conditions. The early warning condition is: when 0.9×I threshold ≤I measured <Ithreshold When the warning is triggered; the serious alarm condition is: when I measured ≥I threshold When a serious alarm is triggered; the multiple abnormal alarm conditions are: the number of alarms N is recorded within the set time period alerts , when N alerts >3, multiple abnormal alarms are triggered; namely:

[0016]

[0017] Among them, I threshold Indicates the alarm threshold, I measured Indicates the current value monitored in real time;

[0018] Step 4: Display and output: The alarm information is displayed through the touch screen, and the alarm signal is output through the output relay.

[0019] A method for storing and analyzing historical data of a current loop state comprehensive monitoring device comprises the following steps:

[0020] Step 1: Historical data storage, including the following steps:

[0021] S1. Data collection and recording: collect current value I at every set time interval Δt measured , and store it together with the timestamp t, that is:

[0022] Data Record: i , I measured,i ,Alert Status i}, i=1,2,...,n,

[0023] Among them, t i Represents the timestamp, that is, the time point of the i-th data record, I measured，i Indicates the current value measured in the i-th data record, Alert Status i Indicates the alarm status of the system at the time of the i-th data record, i represents the index of the data record, and n represents the total number of data currently stored;

[0024] S2. Data storage method: Data storage uses a circular queue or database system. The data is stored in the MCU's built-in Flash memory for short-term data, and the data is uploaded to the cloud platform or local server through the communication interface.

[0025] S3, storage optimization: use compression algorithms RLE or Delta Encoding to reduce storage space and regularly clean up useless data;

[0026] Step 2: Data analysis and visualization, including the following steps:

[0027] S4. Trend analysis: Calculate the mean value and standard deviation. The calculation formula of the mean value is:

[0028]

[0029] in, It represents the average value of the current measured in n samples, I measured，i represents the current value obtained by the i-th sampling, and n represents the total number of sampling times of the current value;

[0030] The calculation formula of the standard deviation is:

[0031]

[0032] Where σ represents the standard deviation, that is, the deviation of the current value from the average value in n samples. The degree of n represents the total number of sampling times of the current value, I measured，i represents the current value obtained by the i-th sampling, Represents the average value of the current value measured in n samplings;

[0033] S5. Abnormal statistics: Count the number of alarms N alerts and time period, calculate the maximum current I exceeding the threshold max and the corresponding time t max ,Right now:

[0034] If I measured,i >I max ,

[0035] I max =I measured，i ,

[0036] t max =t i ,

[0037] Among them, I measured，i represents the current value obtained by the i-th sampling, t i Represents the timestamp, that is, the time point of the i-th data record;

[0038] S6. Correlation analysis: Combine the data of multiple devices to analyze the correlation between different current loops, and use the Pearson correlation coefficient to determine the linkage of currents in different loops. The expression of the Pearson correlation coefficient is:

[0039]

[0040] Where r represents the correlation coefficient, and -1≤r≤1, I 1,i Indicates the value of the first set of current data in the i-th sampling, I 2,irepresents the value of the second set of current data in the i-th sampling, represents the average value of the first set of current data, represents the average value of the second set of current data;

[0041] S7. Predictive analysis based on big data algorithms: The ARIMA model, a time series prediction algorithm, is used to predict future current trends and estimate the probability of abnormal occurrence. The expression of the ARIMA model is:

[0042] I t =φ1I t-1 +φ2I t-2 +…+φ p I t-p +∈ t ,

[0043] Among them, I t Indicates the current value at the current time t, I t-1 , I t-1 , ..., I t-p represents the current value at the previous 1, 2, ..., p moments, φ1, φ2, ..., φ p represents the autoregressive coefficient, ∈ t represents the noise term;

[0044] S8. Visual display: draw a historical curve on the touch screen interface and provide a bar chart and a pie chart to display the alarm distribution, the alarm distribution includes: the proportion of different alarm levels and the number of alarms in a time period;

[0045] Step 3, decision support, includes the following steps:

[0046] S9. Identification of key circuits: Combined with abnormal statistics, identify circuits with frequent alarms and recommend inspection or replacement of equipment;

[0047] S10. Predictive maintenance: Based on historical trends and forecast results, regular maintenance times are recommended to avoid failures due to equipment aging or overload;

[0048] S11. Optimization strategy generation: According to the results of multi-loop correlation analysis, adjust the load distribution, balance the loop current and provide adjustment suggestions.

[0049] Beneficial effects of the present invention:

[0050] 1. High-precision current monitoring: The present invention can accurately collect and process weak current signals with a wide dynamic range through a high-precision multi-range current measurement circuit (such as an OPA333 operational amplifier) ​​and a signal amplification module to ensure measurement accuracy. At the same time, the high-precision multi-range current measurement circuit of the present invention supports a range switching function and can effectively adapt to changes in different current loads;

[0051] 2. Real-time alarm function: The present invention provides early warning, serious alarm and multiple abnormal alarm mechanisms, which can monitor the abnormal current state in real time. The alarm information is displayed on the touch screen and output to the relay. It also supports sound and light alarm and communication interface alarm. The alarm modes are diverse and suitable for multiple scene requirements. The alarm system of the present invention has the user-defined function of the alarm threshold, which can flexibly meet the needs of different current loops;

[0052] 3. Historical data management and analysis: The present invention supports the storage and optimization of historical data, uses circular queues and compression algorithms (RLE or Delta Encoding) to improve storage efficiency, and saves short-term and long-term data through MCU flash memory and cloud platform. It also provides multi-dimensional data analysis functions such as trend analysis, abnormal statistics and correlation analysis, which can help users fully understand the operating status of the current loop;

[0053] 4. Predictive maintenance and decision support: The present invention uses the ARIMA model, a time series prediction algorithm, to estimate future current trends and the probability of abnormal occurrence, formulate maintenance plans in advance, reduce the occurrence rate of failures, and generate optimized load distribution strategies based on historical data and correlation analysis results to balance current distribution and improve the efficiency of power grid operation;

[0054] 5. Diversified data output and display: The present invention provides real-time data display, alarm status display and visual display of historical data (including curves, bar charts, pie charts, etc.) through the touch screen. The information is intuitive and clear, and supports RS485, Ethernet or Wi-Fi interface, which is convenient for uploading monitoring and alarm information to the remote monitoring system or cloud platform to achieve centralized management;

[0055] 6. Intelligence and high stability: The present invention integrates the STM32F070F6P6 microcontroller, combines multiple algorithms to achieve intelligent monitoring and control, and uses a low-dropout linear regulator (LDO) to ensure that the output fluctuation of the regulated power supply is less than ±0.1V, providing a high-stability power supply for the device;

[0056] 7. Comprehensive coverage of current loop status monitoring: The present invention supports comprehensive monitoring of multiple current loop states (such as open circuit, overload or abnormal current). Combined with alarm and analysis functions, it can quickly feedback problems and provide solutions. It can also monitor the current data of multiple devices at the same time, analyze the correlation between loops, and identify potential problems. 8. User-friendliness and scalability: The present invention provides a touch screen interactive function, which is convenient for users to adjust the alarm threshold, view data and manage equipment in real time. The modular design supports extended communication interfaces, sound and light alarm modules, etc., and is suitable for different application scenarios.

[0057] In summary, the current loop status comprehensive monitoring device of the present invention realizes comprehensive monitoring of the current loop status by integrating high-precision measurement, intelligent alarm, multi-dimensional data analysis and predictive maintenance functions, significantly improves the safety, stability and management efficiency of equipment operation, and has wide application value and practicality. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 It is a structural schematic diagram of a current loop state comprehensive monitoring device of the present invention.

[0059] In the figure: 1- high-precision multi-range current measurement circuit; 2- MCU main control chip circuit; 3- output relay; 4- device power supply circuit; 5- touch screen socket; 6- current transformer; 7- wiring terminal; 8- 220V input wiring terminal; 9- touch screen; 10- MCU program download port; 11- 5V to 3.3V regulated power supply. DETAILED DESCRIPTION

[0060] like Figure 1 As shown, a current loop state comprehensive monitoring device comprises: a high-precision multi-range current measurement circuit 1, an MCU main control chip circuit 2, an output relay 3, a device power supply circuit 4, a touch screen socket 5, a current transformer 6, a wiring terminal 7, a 220V input wiring terminal 8, a touch screen 9, an MCU program download port 10 and a 5V to 3.3V regulated power supply 11, wherein the high-precision multi-range current measurement circuit 1 is connected to the MCU main control chip circuit 2, the MCU main control chip circuit 2 is connected to the output relay 3, and the output relay 3 is connected to the wiring terminal 7. The device power supply circuit 4 is connected to the 220V input terminal 8 and the 5V to 3.3V regulated power supply 11 respectively, the touch screen socket 5 is connected to the MCU main control chip circuit 2 and the touch screen 9 respectively, the current transformer 6 is arranged on the secondary line of the current loop and is electrically connected to the terminal 7, the 220V input terminal 8 is also connected to the 220V AC power supply, the MCU program download port 10 is connected to the MCU main control chip circuit 2 and the touch screen 9 respectively, and the 5V to 3.3V regulated power supply 11 is connected to the MCU main control chip circuit 2.

[0061] Preferably, the high-precision multi-range current measurement circuit 1 is an OPA333 (U1) operational amplifier.

[0062] Preferably, the MCU main control chip circuit 2 is a STM32F070F6P6 microcontroller.

[0063] Preferably, the high-precision multi-range current measurement circuit 1 includes a signal amplification module and a range switching module, the signal amplification module is respectively connected to the range switching module and the ADC input end of the MCU main control chip circuit 2, and the range switching module is connected to the current transformer 6 through the wiring terminal 7.

[0064] Preferably, the 5V to 3.3V regulated power supply 11 includes a low voltage dropout linear regulator, and the output voltage fluctuation of the 5V to 3.3V regulated power supply 11 is less than ±0.1V.

[0065] Preferably, the MCU program download port 10 is connected to the MCU main control chip circuit 2 via a serial communication protocol UART or JTAG.

[0066] An alarm method of an alarm system of a current loop state comprehensive monitoring device, comprising the following steps:

[0067] Step 1: Define the alarm threshold: Set I threshold is the current alarm threshold, and the user adjusts the current alarm threshold through the touch screen 9;

[0068] Step 2: Real-time monitoring of current value: The current value I collected by the current transformer 6 measured ;

[0069] Step 3: Calculate alarm conditions, which include early warning conditions, severe alarm conditions, and multiple abnormal alarm conditions. The early warning condition is: when 0.9×I threshold ≤I measured <I threshold When the warning is triggered; the serious alarm condition is: when I measured ≥I threshold When a serious alarm is triggered; the multiple abnormal alarm conditions are: the number of alarms N is recorded within the set time period alerts , when N alerts >3, multiple abnormal alarms are triggered; namely:

[0070]

[0071] Among them, I threshold Indicates the alarm threshold, I measured Indicates the current value monitored in real time;

[0072] Step 4: Display and output: The alarm information is displayed via the touch screen 9 , and the alarm signal is output via the output relay 3 .

[0073] A method for storing and analyzing historical data of a current loop state comprehensive monitoring device comprises the following steps:

[0074] Step 1: Historical data storage, including the following steps:

[0075] S1. Data collection and recording: collect current value I at every set time interval Δt measured , and store it together with the timestamp t, that is:

[0076] Data Record: i ,I measured,i ,Alert Status i}, i=1,2,...,n,

[0077] Among them, t i Represents the timestamp, that is, the time point of the i-th data record, I measured，i Indicates the current value measured in the i-th data record, Alert Status i Indicates the alarm status of the system at the time of the i-th data record, i represents the index of the data record, and n represents the total number of data currently stored;

[0078] S2. Data storage method: Data storage uses a circular queue or database system. The data is stored in the MCU's built-in Flash memory for short-term data, and the data is uploaded to the cloud platform or local server through the communication interface.

[0079] S3, storage optimization: use compression algorithms RLE or Delta Encoding to reduce storage space and regularly clean up useless data;

[0080] Step 2: Data analysis and visualization, including the following steps:

[0081] S4. Trend analysis: Calculate the mean value and standard deviation. The calculation formula of the mean value is:

[0082]

[0083] in, It represents the average value of the current measured in n samples, I measured，i represents the current value obtained by the i-th sampling, and n represents the total number of sampling times of the current value;

[0084] The calculation formula of the standard deviation is:

[0085]

[0086] Where σ represents the standard deviation, that is, the deviation of the current value from the average value in n samples. The degree of n represents the total number of sampling times of the current value, I measured，i represents the current value obtained by the i-th sampling, Represents the average value of the current value measured in n samplings;

[0087] S5. Abnormal statistics: Count the number of alarms N alerts and time period, calculate the maximum current I exceeding the threshold max and the corresponding time t max ,Right now:

[0088] If I measured,i >I max ,

[0089] I max =I measured，i ,

[0090] t max =t i ,

[0091] Among them, I measured，i represents the current value obtained by the i-th sampling, t i Represents the timestamp, that is, the time point of the i-th data record;

[0092] S6. Correlation analysis: Combine the data of multiple devices to analyze the correlation between different current loops, and use the Pearson correlation coefficient to determine the linkage of currents in different loops. The expression of the Pearson correlation coefficient is:

[0093]

[0094] Where r represents the correlation coefficient, and -1≤r≤1, I1,i represents the value of the first set of current data in the i-th sampling, and I2,i represents the value of the second set of current data in the i-th sampling. represents the average value of the first set of current data, represents the average value of the second set of current data;

[0095] S7. Predictive analysis based on big data algorithms: The ARIMA model, a time series prediction algorithm, is used to predict future current trends and estimate the probability of abnormal occurrence. The expression of the ARIMA model is:

[0096] I t =φ1I t-1 +φ2I t-2 +…+φ p I t-p +∈ t ,

[0097] Among them, I t Indicates the current value at the current time t, I t-1 , I t-2 , ..., I t-p represents the current value at the previous 1, 2, ..., p moments, φ1, φ2, ..., φ p represents the autoregressive coefficient, ∈t represents the noise term;

[0098] S8. Visual display: draw a historical curve on the touch screen interface and provide a bar chart and a pie chart to display the alarm distribution, the alarm distribution includes: the proportion of different alarm levels and the number of alarms in a time period;

[0099] Step 3, decision support, includes the following steps:

[0100] S9. Identification of key circuits: Combined with abnormal statistics, identify circuits with frequent alarms and recommend inspection or replacement of equipment;

[0101] S10. Predictive maintenance: Based on historical trends and forecast results, regular maintenance times are recommended to avoid failures due to equipment aging or overload;

[0102] S11. Optimization strategy generation: According to the results of multi-loop correlation analysis, adjust the load distribution, balance the loop current and provide adjustment suggestions.

[0103] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A current loop status comprehensive monitoring device, characterized in that: include: A high-precision multi-range current measurement circuit (1), an MCU main control chip circuit (2), an output relay (3), a device power supply circuit (4), a touch screen socket (5), a current transformer (6), a wiring terminal (7), a 220V input wiring terminal (8), a touch screen (9), an MCU program download port (10) and a 5V to 3.3V regulated power supply (11), wherein the high-precision multi-range current measurement circuit (1) is connected to the MCU main control chip circuit (2), the MCU main control chip circuit (2) is connected to the output relay (3), the output relay (3) is connected to the wiring terminal (7), and the device power supply circuit (4) is connected to the MCU main control chip circuit (2). The power supply circuit (4) is respectively connected to the 220V input terminal (8) and the 5V to 3.3V regulated power supply (11); the touch screen socket (5) is respectively connected to the MCU main control chip circuit (2) and the touch screen (9); the current transformer (6) is arranged on the secondary line of the current loop and is electrically connected to the terminal (7); the 220V input terminal (8) is also connected to the 220V AC power supply; the MCU program download port (10) is respectively connected to the MCU main control chip circuit (2) and the touch screen (9); and the 5V to 3.3V regulated power supply (11) is connected to the MCU main control chip circuit (2).

2. A current loop status comprehensive monitoring device according to claim 1, characterized in that: The device also comprises an alarm system, which comprises: a logic processing module, an alarm signal output module, a touch screen display module, an audio and video alarm module and a communication interface module. The logic processing module is integrated in the MCU main control chip circuit (2) and is respectively connected to the high-precision multi-range current measurement circuit (1) and the current transformer (6). The alarm signal output module is integrated in the output relay (3) and is connected to the MCU main control chip circuit (2). The touch screen display module is connected to the touch screen (9) via a touch screen socket (5) or an MCU program download port (10). The audio and video alarm module is connected to the MCU main control chip circuit (2) and controls the sending and closing of sound or light signals via GPIO. The communication interface module is connected to the MCU main control chip circuit (2) via an expansion interface. The communication interface module transmits alarm information to a remote monitoring system or a cloud platform via RS485, Ethernet, or Wi-Fi.

3. A current loop status comprehensive monitoring device according to claim 1, characterized in that: The high-precision multi-range current measurement circuit (1) is an OPA333 (U1) operational amplifier.

4. A current loop status comprehensive monitoring device according to claim 1, characterized in that: The MCU main control chip circuit (2) is an STM32F070F6P6 microcontroller.

5. The current loop status comprehensive monitoring device according to claim 1, characterized in that: The high-precision multi-range current measurement circuit (1) comprises a signal amplification module and a range switching module, the signal amplification module being connected to the range switching module and the ADC input end of the MCU main control chip circuit (2) respectively, and the range switching module being connected to the current transformer (6) via a wiring terminal (7).

6. The current loop status comprehensive monitoring device according to claim 1, characterized in that: The 5V to 3.3V regulated power supply (11) comprises a low voltage difference linear regulator, and the output voltage fluctuation of the 5V to 3.3V regulated power supply (11) is less than ±0.1V.

7. The current loop status comprehensive monitoring device according to claim 1, characterized in that: The MCU program download port (10) is connected to the MCU main control chip circuit (2) via a serial communication protocol UART or JTAG.

8. The alarm method of the alarm system of the current loop status comprehensive monitoring device according to claim 2, characterized in that: The following steps are involved: Step 1: Define the alarm threshold: Set I threshold is a current alarm threshold, and a user adjusts the current alarm threshold through a touch screen (9); Step 2: Real-time monitoring of current value: The current value I collected by the current transformer (6) measured ; Step 3: Calculate alarm conditions, which include early warning conditions, severe alarm conditions, and multiple abnormal alarm conditions. The early warning condition is: when 0.9×I threshold ≤I measured <I threshold When the warning is triggered; the serious alarm condition is: when I measured ≥I threshold When a serious alarm is triggered; the multiple abnormal alarm conditions are: recording the number of alarms N within the set time period alerts , when N alerts >3, multiple abnormal alarms are triggered; namely: Among them, I threshold Indicates the alarm threshold, I measured Indicates the current value monitored in real time; Step 4: Display and output: The alarm information is displayed via the touch screen (9), and the alarm signal is output via the output relay (3).

9. The historical data storage and analysis method of the current loop status comprehensive monitoring device according to claim 1, characterized in that: The following steps are involved: Step 1: Historical data storage, including the following steps: S1. Data collection and recording: collect current value I at every set time interval Δt measured , and store it together with the timestamp t, that is: Data Rccord:{t i ,I measured，i ,Alert Status i },i=1,2,...,n, Among them, t i Represents the timestamp, i.e., the time point of the i-th data record, I measured，i Indicates the current value measured in the i-th data record, Alert Status i Indicates the alarm status of the system at the time of the i-th data record, i represents the index of the data record, and n represents the total number of data currently stored; S2. Data storage method: Data storage uses a circular queue or database system. The data is stored in the MCU's built-in Flash memory for short-term data, and the data is uploaded to the cloud platform or local server through the communication interface. S3, storage optimization: use compression algorithms RLE or Delta Encoding to reduce storage space and regularly clean up useless data; Step 2: Data analysis and visualization, including the following steps: S4. Trend analysis: Calculate the mean value and standard deviation. The calculation formula of the mean value is: in, It represents the average value of the current measured in n samples, I measured，i represents the current value obtained by the i-th sampling, and n represents the total number of sampling times of the current value; The calculation formula of the standard deviation is: Where σ represents the standard deviation, that is, the deviation of the current value from the average value in n samples. The degree of n represents the total number of sampling times of the current value, I measured，i represents the current value obtained by the i-th sampling, Represents the average value of the current value measured in n samplings; S5. Abnormal statistics: Count the number of alarms N alerts and time period, calculate the maximum current I exceeding the threshold max and the corresponding time t max ,Right now: If I measured，i >I max , I max =I measured，i , t max =t i , Among them, I measured，i represents the current value obtained by the i-th sampling, t i Represents the timestamp, that is, the time point of the i-th data record; S6. Correlation analysis: Combine the data of multiple devices to analyze the correlation between different current loops, and use the Pearson correlation coefficient to determine the linkage of currents in different loops. The expression of the Pearson correlation coefficient is: Where r represents the correlation coefficient, and -1≤r≤1, I 1，j represents the value of the first set of current data in the i-th sampling, I 2，i represents the value of the second set of current data in the i-th sampling, represents the average value of the first set of current data, represents the average value of the second set of current data; S7. Predictive analysis based on big data algorithms: The ARIMA model, a time series prediction algorithm, is used to predict future current trends and estimate the probability of abnormal occurrence. The expression of the ARIMA model is: I t =φ1I t-1 +φ2I t-2 +…+φ p I t-p +∈ t , Among them, I t Indicates the current value at the current time t, I t-1 , I t-2 , ..., I t-p represents the current value at the previous 1, 2, ..., p moments, φ1, φ2, ..., φ p represents the autoregressive coefficient, ∈ t represents the noise term; S8. Visual display: draw a historical curve on the touch screen interface and provide a bar chart and a pie chart to display the alarm distribution, the alarm distribution includes: the proportion of different alarm levels and the number of alarms in a time period; Step 3, decision support, includes the following steps: S9. Identification of key circuits: Combined with abnormal statistics, identify circuits with frequent alarms and recommend inspection or replacement of equipment; S10. Predictive maintenance: Based on historical trends and forecast results, regular maintenance times are recommended to avoid failures due to equipment aging or overload; S11. Optimization strategy generation: According to the results of multi-loop correlation analysis, adjust the load distribution, balance the loop current and provide adjustment suggestions.

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