CN118091297B - Safety monitoring device and method for power terminal and power terminal - Google Patents
Safety monitoring device and method for power terminal and power terminalInfo
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- CN118091297B CN118091297B CN202410501783.5A CN202410501783A CN118091297B CN 118091297 B CN118091297 B CN 118091297B CN 202410501783 A CN202410501783 A CN 202410501783A CN 118091297 B CN118091297 B CN 118091297B
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Abstract
The invention discloses a safety monitoring device and method of an electric power terminal and the electric power terminal, and belongs to the technical field of electric power terminals. The power supply fluctuation monitoring module is connected in parallel with a first voltage collector at the output end of a power supply of the power terminal; the current acquisition module comprises a sampling resistor connected in series between a control chip of the power terminal and a power supply of the power terminal; the resistance value of the sampling resistor is 50mΩ; the two ends of the sampling resistor are connected with a second voltage collector in parallel; the power supply fluctuation monitoring module and the current acquisition module are connected to the first safety monitoring processor through the AD conversion module; according to the safety monitoring device, the monitoring method and the power terminal of the power terminal, interference learning and result prediction are carried out on the power node data which are easy to be interfered, so that safety false alarm of the power terminal can be eliminated, and safety monitoring precision is improved.
Description
Technical Field
The invention particularly relates to a safety monitoring device and method of an electric power terminal and the electric power terminal, and belongs to the technical field of electric power terminals.
Background
The power terminal comprises various power distribution terminals, intelligent electric meters, power mobile operation terminals and other devices, and is responsible for uploading service data generated by metering devices, charging piles, photovoltaic devices and the like to the master station and issuing master station control information; the safety and reliability of the power terminal are fundamental to the stable operation of the power system, the power terminal generally works in an open environment and has certain operation capability and wireless communication, and wide cooperation and resource interaction exist; the intelligent power grid is a weak point for safety protection of the intelligent power grid, so that hidden danger is brought to the safe operation of the intelligent power grid; the existing power terminals, such as Chinese patent publication number: CN114997587A, a safety monitoring method and device of a power terminal and the power terminal are disclosed, and multidimensional power data of each power node are obtained; calculating the average value of the characteristic function values of each power node at different time points in a preset period; calculating a first trust evaluation index of each power node under attack; calculating a second trust evaluation index of each power node; calculating the final trust evaluation index of each power node according to the first trust evaluation index and the second trust evaluation index; determining the safety state of each power node according to the final trust evaluation index; when the power terminal is used for safety monitoring, the accuracy of a data source of the power node cannot be ensured, for example, the data source is influenced by accumulated heat and external temperature interference, and the temperature conduction loss from a control chip to a temperature transmitter is controlled, so that the temperature error and the power consumption of the chip are influenced by the interference fluctuation of a power supply end and the like; the safety state detection accuracy of the power node is lowered.
Disclosure of Invention
In order to solve the problems, the invention provides a safety monitoring device, a monitoring method and a power terminal for a power terminal, which are used for carrying out interference learning and result prediction on power node data which are easy to be interfered, so that safety false alarm of the power terminal can be eliminated, and safety monitoring precision is improved.
The safety monitoring device of the power terminal of the invention comprises:
The power supply fluctuation monitoring module is a first voltage collector connected in parallel to the power supply output end of the power terminal; the first voltage collector collects the voltage value of the power supply output end and can capture the power supply voltage fluctuation in real time;
the current acquisition module comprises a sampling resistor connected in series between a control chip of the power terminal and a power supply of the power terminal; the resistance value of the sampling resistor is 50mΩ; the two ends of the sampling resistor are connected with a second voltage collector in parallel; the voltage drop of the sampling resistor is acquired through the second voltage acquisition device, the current value of the control chip of the power terminal is calculated through the current voltage drop and the resistance value of the sampling resistor, and the working state of the control chip of the power terminal is fed back through the current value;
The power supply fluctuation monitoring module and the current acquisition module are connected to the first safety monitoring processor through the AD conversion module; the first safety monitoring processor is internally provided with an LSTM prediction module; the first safety monitoring processor is connected with a first alarm; the power supply fluctuation monitoring module and the current acquisition module respectively acquire power supply voltage fluctuation data and control chip current fluctuation data of the power terminal, convert the power supply voltage fluctuation data and the control chip current fluctuation data of the power terminal into digital values and send the digital values to the first safety monitoring processor; performing data processing through a first safety monitoring processor; when the power terminal works normally, an LSTM prediction module is trained through reference power supply voltage fluctuation data and control chip current fluctuation data of the power terminal, a power terminal current fluctuation prediction model is obtained, power terminal current fluctuation is predicted and output through real-time power supply voltage fluctuation data, when the predicted value and the actual value have errors, the power terminal is regarded as abnormal working after the control chip is attacked, and a first alarm sends out an alarm signal;
The temperature change sensing module is implanted into the inner side of the first safety monitoring processor and is a diode which is respectively connected to a reference power supply and a grounding end; a conditioning circuit is connected between the diode and the reference power supply in parallel, and the conditioning circuit is connected to the first safety monitoring processor through the AD conversion module; the diode is directly integrated inside the first safety monitoring processor, and the temperature characteristics of the diode are as follows: the diode temperature rises, the forward characteristic shifts left, and the reverse characteristic shifts down; around room temperature, every 1 ℃ of temperature rise; the forward voltage drop is reduced by 2-2.5mV; when the temperature is increased by 10 ℃ near the room temperature, the reverse current is doubled, and the voltage change amount monitored by the diode can be calculated to be a temperature fluctuation value; training an LSTM prediction module through collected environmental temperature fluctuation data in the power terminal, power terminal working time length data and temperature fluctuation data on a control chip of the power terminal to obtain a power terminal temperature fluctuation prediction model, and sending the environmental temperature fluctuation data, the power terminal working time length data and the temperature fluctuation data on the control chip of the power terminal into the power terminal temperature fluctuation prediction model to predict the next temperature fluctuation data of the control chip; when the predicted value and the actual value have errors, namely the control chip is considered to work abnormally after being attacked, the first alarm sends out an alarm signal.
Further, an offline memory is connected to the first security monitor processor.
The utility model provides a safety monitoring method of electric power terminal, adopts the safety monitoring device of electric power terminal, the monitoring method specifically is as follows:
Firstly, monitoring the current of a control chip of a power terminal, firstly establishing training data, connecting an adjustable constant voltage source to the power terminal, connecting a sampling resistor in series between the adjustable constant voltage source and the control chip of the power terminal, connecting an ammeter in series between the sampling resistor and the control chip of the power terminal, connecting a voltmeter in parallel with the output end of the adjustable constant voltage source, then normally carrying out data processing and data transmission on the power terminal, respectively acquiring current data in real time by the ammeter and the voltmeter, and then adjusting the output voltage of an adjustable constant voltage source power supply within the working voltage range of the power terminal for 50-200 times, wherein the adjustable constant voltage source power supply is set and adjusted to step according to the adjustment quantity; thereby obtaining a training sample of the LSTM neural network model; then training the LSTM neural network model through a training sample to obtain a power terminal current fluctuation prediction model; then, the first voltage collector sends the current value collected in real time into a power terminal current fluctuation prediction model, the power terminal current fluctuation prediction model outputs a predicted current value, and the difference value between the predicted current value and the actual current value is calculated; when the absolute value of the difference exceeds a set threshold, adding 1 to the mark pointer, continuously completing 5 times of prediction and data comparison, and when the number of times of the difference exceeding the set threshold reaches 3 times, sending alarm information to a first alarm by a first safety monitoring processor;
The second step, when the power terminal is in a working state, the temperature change sensing module monitors the temperature information of the power terminal in real time, when the temperature of a control chip of the power terminal is increased, the temperature is synchronously conducted to the diode, due to the temperature characteristic of the diode, when the temperature is changed, a conditioning circuit between the diode and a reference power supply can capture and condition voltage change signals, and the voltage change signals are converted into digital signals through the AD conversion module and then are sent to the first safety monitoring processor; the first safety monitoring processor converts the voltage change signal into a current temperature signal of the control chip; meanwhile, an environment temperature transmitter inside the power terminal sends the current environment temperature to a first safety monitoring processor; the first safety monitoring processor processes the temperature data and then outputs a monitoring result;
Thirdly, safety monitoring processing, namely when the first safety monitoring processor transmits an abnormality to the power terminal, enabling a control chip of the power terminal to enter an interrupt flow, closing a power output port, closing an upper communication port and keeping data acquisition polling and first safety monitoring processor monitoring port polling; storing the acquired data into an offline memory, and establishing a data island; the control chip of the power terminal sends an admission request to the upper communication port until the first safety monitoring processor sends an abnormality relieving instruction to the power terminal, and after receiving the admission instruction, the control chip jumps out of the interrupt and sends the next polling acquisition data to the upper communication port; the data in the offline memory is backed up to the upper communication port during the idle period.
Further, the temperature data processing process of the first safety monitoring processor is as follows:
The sample sequence input by the LSTM neural network model is C= { C (1), C (2) … C (t) }, and the LSTM neural network model is continuously trained; obtaining a power terminal current fluctuation prediction model, wherein c (t) represents sample information at t time and comprises { U (t), I (t) }; when U (t) is t, the power supply outputs a voltage value, and when I (t) is t, the chip current data is controlled; continuously predicting the current value of the control chip at the next moment through a power terminal current fluctuation prediction model;
The sample sequence input by the LSTM neural network model is X= { X (1), X (2) … X (t) }, and the LSTM neural network model is continuously trained; wherein x (T) represents sample information at time T, including { OT (T), GT (T-1), T (T) }; when OT (T) is T, the current ambient temperature acquired by the ambient temperature transmitter, GT (T-1) is T, the temperature of the control chip acquired by the temperature change sensing module is T, and when T (T) is T, the power terminal accumulates working time; continuously predicting the temperature value of the control chip at the next moment through the trained LSTM neural network to the time sequence information processing capability, and then carrying out difference value calculation on the predicted temperature value and the actual temperature value; when the absolute value of the difference exceeds a set threshold, the marking pointer is added with 1, 5 times of prediction and data comparison are continuously completed, and when the number of times of the difference exceeding the set threshold reaches 3 times, the first safety monitoring processor sends alarm information to the first alarm.
The power terminal comprises a safety monitoring device of the power terminal, wherein an environment temperature transmitter is installed in the power terminal; the ambient temperature transmitter is accessed to a first safety monitoring processor.
Compared with the prior art, the safety monitoring device, the monitoring method and the power terminal of the power terminal perform interference learning and result prediction on the power node data which is easy to be interfered, compare the prediction result with actual monitoring data, and judge that the power terminal is attacked when the data difference exceeds a set value; the power supply fluctuation, external heat, heat accumulation and heat conduction loss can be removed, and the temperature abnormality or current abnormality and the like caused by operation abnormality due to attack of the control chip can be accurately captured; the safety monitoring precision is improved, and the false alarm is reduced.
Drawings
Fig. 1 is a schematic diagram of the overall structure of a safety monitoring device of an electric power terminal according to the present invention.
Fig. 2 is a schematic overall flow chart of a safety monitoring method of the power terminal.
Fig. 3 is a schematic diagram of a control chip current monitoring workflow of the power terminal of the present invention.
Fig. 4 is a schematic diagram of a control chip temperature monitoring workflow of the power terminal of the present invention.
FIG. 5 is a schematic diagram of a safety monitoring process workflow according to the present invention.
Detailed Description
Example 1:
the safety monitoring device of the power terminal shown in fig. 1 includes:
The power supply fluctuation monitoring module is a first voltage collector connected in parallel to the power supply output end of the power terminal; the first voltage collector collects the voltage value of the power supply output end and can capture the power supply voltage fluctuation in real time;
the current acquisition module comprises a sampling resistor connected in series between a control chip of the power terminal and a power supply of the power terminal; the resistance value of the sampling resistor is 50mΩ; the two ends of the sampling resistor are connected with a second voltage collector in parallel; the voltage drop of the sampling resistor is acquired through the second voltage acquisition device, the current value of the control chip of the power terminal is calculated through the current voltage drop and the resistance value of the sampling resistor, and the working state of the control chip of the power terminal is fed back through the current value;
The power supply fluctuation monitoring module and the current acquisition module are connected to the first safety monitoring processor through the AD conversion module; the first safety monitoring processor is internally provided with an LSTM prediction module; the first safety monitoring processor is connected with a first alarm; the power supply fluctuation monitoring module and the current acquisition module respectively acquire power supply voltage fluctuation data and control chip current fluctuation data of the power terminal, convert the power supply voltage fluctuation data and the control chip current fluctuation data of the power terminal into digital values and send the digital values to the first safety monitoring processor; performing data processing through a first safety monitoring processor; when the power terminal works normally, an LSTM prediction module is trained through reference power supply voltage fluctuation data and control chip current fluctuation data of the power terminal, a power terminal current fluctuation prediction model is obtained, power terminal current fluctuation is predicted and output through real-time power supply voltage fluctuation data, when the predicted value and the actual value have errors, the power terminal is regarded as abnormal working after the control chip is attacked, and a first alarm sends out an alarm signal;
The temperature change sensing module is implanted into the inner side of the first safety monitoring processor and is a diode which is respectively connected to a reference power supply and a grounding end; a conditioning circuit is connected between the diode and the reference power supply in parallel, and the conditioning circuit is connected to the first safety monitoring processor through the AD conversion module; the diode is directly integrated inside the first safety monitoring processor, and the temperature characteristics of the diode are as follows: the diode temperature rises, the forward characteristic shifts left, and the reverse characteristic shifts down; around room temperature, every 1 ℃ of temperature rise; the forward voltage drop is reduced by 2-2.5mV; when the temperature is increased by 10 ℃ near the room temperature, the reverse current is doubled, and the voltage change amount monitored by the diode can be calculated to be a temperature fluctuation value; training an LSTM prediction module through collected environmental temperature fluctuation data in the power terminal, power terminal working time length data and temperature fluctuation data on a control chip of the power terminal to obtain a power terminal temperature fluctuation prediction model, and sending the environmental temperature fluctuation data, the power terminal working time length data and the temperature fluctuation data on the control chip of the power terminal into the power terminal temperature fluctuation prediction model to predict the next temperature fluctuation data of the control chip; when the predicted value and the actual value have errors, namely the control chip is considered to work abnormally after being attacked, the first alarm sends out an alarm signal.
The first safety monitoring processor is connected with an offline memory.
As shown in fig. 2 to 5, a safety monitoring method for an electric power terminal, which adopts a safety monitoring device for an electric power terminal, specifically comprises the following steps:
Firstly, monitoring the current of a control chip of a power terminal, firstly establishing training data, connecting an adjustable constant voltage source to the power terminal, connecting a sampling resistor in series between the adjustable constant voltage source and the control chip of the power terminal, connecting an ammeter in series between the sampling resistor and the control chip of the power terminal, connecting a voltmeter in parallel with the output end of the adjustable constant voltage source, then normally carrying out data processing and data transmission on the power terminal, respectively acquiring current data in real time by the ammeter and the voltmeter, and then adjusting the output voltage of an adjustable constant voltage source power supply within the working voltage range of the power terminal for 50-200 times, wherein the adjustable constant voltage source power supply is set and adjusted to step according to the adjustment quantity; thereby obtaining a training sample of the LSTM neural network model; then training the LSTM neural network model through a training sample to obtain a power terminal current fluctuation prediction model; then, the first voltage collector sends the current value collected in real time into a power terminal current fluctuation prediction model, the power terminal current fluctuation prediction model outputs a predicted current value, and the difference value between the predicted current value and the actual current value is calculated; when the absolute value of the difference exceeds a set threshold, adding 1 to the mark pointer, continuously completing 5 times of prediction and data comparison, and when the number of times of the difference exceeding the set threshold reaches 3 times, sending alarm information to a first alarm by a first safety monitoring processor;
The second step, when the power terminal is in a working state, the temperature change sensing module monitors the temperature information of the power terminal in real time, when the temperature of a control chip of the power terminal is increased, the temperature is synchronously conducted to the diode, due to the temperature characteristic of the diode, when the temperature is changed, a conditioning circuit between the diode and a reference power supply can capture and condition voltage change signals, and the voltage change signals are converted into digital signals through the AD conversion module and then are sent to the first safety monitoring processor; the first safety monitoring processor converts the voltage change signal into a current temperature signal of the control chip; meanwhile, an environment temperature transmitter inside the power terminal sends the current environment temperature to a first safety monitoring processor; the first safety monitoring processor processes the temperature data and then outputs a monitoring result;
Thirdly, safety monitoring processing, namely when the first safety monitoring processor transmits an abnormality to the power terminal, enabling a control chip of the power terminal to enter an interrupt flow, closing a power output port, closing an upper communication port and keeping data acquisition polling and first safety monitoring processor monitoring port polling; storing the acquired data into an offline memory, and establishing a data island; the control chip of the power terminal sends an admission request to the upper communication port until the first safety monitoring processor sends an abnormality relieving instruction to the power terminal, and after receiving the admission instruction, the control chip jumps out of the interrupt and sends the next polling acquisition data to the upper communication port; the data in the offline memory is backed up to the upper communication port during the idle period.
The first safety monitoring processor processes temperature data as follows:
The sample sequence input by the LSTM neural network model is C= { C (1), C (2) … C (t) }, and the LSTM neural network model is continuously trained; obtaining a power terminal current fluctuation prediction model, wherein c (t) represents sample information at t time and comprises { U (t), I (t) }; when U (t) is t, the power supply outputs a voltage value, and when I (t) is t, the chip current data is controlled; continuously predicting the current value of the control chip at the next moment through a power terminal current fluctuation prediction model;
The sample sequence input by the LSTM neural network model is X= { X (1), X (2) … X (t) }, and the LSTM neural network model is continuously trained; wherein x (T) represents sample information at time T, including { OT (T), GT (T-1), T (T) }; when OT (T) is T, the current ambient temperature acquired by the ambient temperature transmitter, GT (T-1) is T, the temperature of the control chip acquired by the temperature change sensing module is T, and when T (T) is T, the power terminal accumulates working time; continuously predicting the temperature value of the control chip at the next moment through the trained LSTM neural network to the time sequence information processing capability, and then carrying out difference value calculation on the predicted temperature value and the actual temperature value; when the absolute value of the difference exceeds a set threshold, the marking pointer is added with 1, 5 times of prediction and data comparison are continuously completed, and when the number of times of the difference exceeding the set threshold reaches 3 times, the first safety monitoring processor sends alarm information to the first alarm.
The power terminal comprises a safety monitoring device of the power terminal, wherein an environment temperature transmitter is installed in the power terminal; the ambient temperature transmitter is accessed to a first safety monitoring processor.
The above embodiments are merely preferred embodiments of the present invention, and all changes and modifications that come within the meaning and range of equivalency of the structures, features and principles of the invention are therefore intended to be embraced therein.
Claims (5)
1. The safety monitoring method of the power terminal is characterized by comprising the following steps of:
Firstly, monitoring the current of a control chip of a power terminal, firstly establishing training data, connecting an adjustable constant voltage source to the power terminal, connecting a sampling resistor in series between the adjustable constant voltage source and the control chip of the power terminal, connecting an ammeter in series between the sampling resistor and the control chip of the power terminal, connecting a voltmeter in parallel with the output end of the adjustable constant voltage source, then normally carrying out data processing and data transmission on the power terminal, respectively acquiring current data in real time by the ammeter and the voltmeter, and then adjusting the output voltage of an adjustable constant voltage source power supply within the working voltage range of the power terminal for 50-200 times, wherein the adjustable constant voltage source power supply is set and adjusted to step according to the adjustment quantity; thereby obtaining a training sample of the LSTM neural network model; then training the LSTM neural network model through a training sample to obtain a power terminal current fluctuation prediction model; then, the first voltage collector sends the current value collected in real time into a power terminal current fluctuation prediction model, the power terminal current fluctuation prediction model outputs a predicted current value, and the difference value between the predicted current value and the actual current value is calculated; when the absolute value of the difference exceeds a set threshold, adding 1 to the mark pointer, continuously completing 5 times of prediction and data comparison, and when the number of times of the difference exceeding the set threshold reaches 3 times, sending alarm information to a first alarm by a first safety monitoring processor; performing data processing through a first safety monitoring processor; when the power terminal works normally, an LSTM prediction module is trained through reference power supply voltage fluctuation data and control chip current fluctuation data of the power terminal, a power terminal current fluctuation prediction model is obtained, power terminal current fluctuation is predicted and output through real-time power supply voltage fluctuation data, when the predicted value and the actual value have errors, the power terminal is regarded as abnormal working after the control chip is attacked, and a first alarm sends out an alarm signal; training an LSTM prediction module through collected environmental temperature fluctuation data in the power terminal, power terminal working time length data and temperature fluctuation data on a control chip of the power terminal to obtain a power terminal temperature fluctuation prediction model, and sending the environmental temperature fluctuation data, the power terminal working time length data and the temperature fluctuation data on the control chip of the power terminal into the power terminal temperature fluctuation prediction model to predict the next temperature fluctuation data of the control chip; when errors occur between the predicted value and the actual value, namely the control chip is considered to work abnormally after being attacked, the first alarm sends an alarm signal;
The second step, when the power terminal is in a working state, the temperature change sensing module monitors the temperature information of the power terminal in real time, when the temperature of a control chip of the power terminal is increased, the temperature is synchronously conducted to the diode, due to the temperature characteristic of the diode, when the temperature is changed, a conditioning circuit between the diode and a reference power supply can capture and condition voltage change signals, and the voltage change signals are converted into digital signals through the AD conversion module and then are sent to the first safety monitoring processor; the first safety monitoring processor converts the voltage change signal into a current temperature signal of the control chip; meanwhile, an environment temperature transmitter inside the power terminal sends the current environment temperature to a first safety monitoring processor; the first safety monitoring processor processes the temperature data and then outputs a monitoring result;
Thirdly, safety monitoring processing, namely when the first safety monitoring processor transmits an abnormality to the power terminal, enabling a control chip of the power terminal to enter an interrupt flow, closing a power output port, closing an upper communication port and keeping data acquisition polling and first safety monitoring processor monitoring port polling; storing the acquired data into an offline memory, and establishing a data island; the control chip of the power terminal sends an admission request to the upper communication port until the first safety monitoring processor sends an abnormality relieving instruction to the power terminal, and after receiving the admission instruction, the control chip jumps out of the interrupt and sends the next polling acquisition data to the upper communication port; the data in the offline memory is backed up to the upper communication port during the idle period.
2. The method for monitoring the safety of the power terminal according to claim 1, wherein: the first safety monitoring processor processes temperature data as follows:
The sample sequence input by the LSTM neural network model is C= { C (1), C (2) … C (t) }, and the LSTM neural network model is continuously trained; obtaining a power terminal current fluctuation prediction model, wherein c (t) represents sample information at t time and comprises { U (t), I (t) }; when U (t) is t, the power supply outputs a voltage value, and when I (t) is t, the chip current data is controlled; continuously predicting the current value of the control chip at the next moment through a power terminal current fluctuation prediction model;
The sample sequence input by the LSTM neural network model is X= { X (1), X (2) … X (t) }, and the LSTM neural network model is continuously trained; wherein x (T) represents sample information at time T, including { OT (T), GT (T-1), T (T) }; when OT (T) is T, the current ambient temperature acquired by the ambient temperature transmitter, GT (T-1) is T, the temperature of the control chip acquired by the temperature change sensing module is T, and when T (T) is T, the power terminal accumulates working time; continuously predicting the temperature value of the control chip at the next moment through the trained LSTM neural network to the time sequence information processing capability, and then carrying out difference value calculation on the predicted temperature value and the actual temperature value; when the absolute value of the difference exceeds a set threshold, the marking pointer is added with 1, 5 times of prediction and data comparison are continuously completed, and when the number of times of the difference exceeding the set threshold reaches 3 times, the first safety monitoring processor sends alarm information to the first alarm.
3. A safety monitoring device for an electric power terminal, employing the safety monitoring method for an electric power terminal according to any one of claims 1 and 2, characterized by comprising:
The power supply fluctuation monitoring module is a first voltage collector connected in parallel to the power supply output end of the power terminal;
The current acquisition module comprises a sampling resistor connected in series between a control chip of the power terminal and a power supply of the power terminal; the resistance value of the sampling resistor is 50mΩ; the two ends of the sampling resistor are connected with a second voltage collector in parallel;
The power supply fluctuation monitoring module and the current acquisition module are connected to the first safety monitoring processor through the AD conversion module; the first safety monitoring processor is internally provided with an LSTM prediction module; the first safety monitoring processor is connected with a first alarm;
The temperature change sensing module is implanted into the inner side of the first safety monitoring processor and is a diode which is respectively connected to a reference power supply and a grounding end; and a conditioning circuit is connected between the diode and the reference power supply in parallel, and the conditioning circuit is connected to the first safety monitoring processor through the AD conversion module.
4. A safety monitoring device for an electric power terminal according to claim 3, characterized in that: the first safety monitoring processor is connected with an offline memory.
5. An electrical power terminal comprising the electrical power terminal safety monitoring device of claim 3, wherein an ambient temperature transmitter is installed in the electrical power terminal; the ambient temperature transmitter is accessed to a first safety monitoring processor.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202410501783.5A CN118091297B (en) | 2024-04-25 | Safety monitoring device and method for power terminal and power terminal |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202410501783.5A CN118091297B (en) | 2024-04-25 | Safety monitoring device and method for power terminal and power terminal |
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| CN118091297B true CN118091297B (en) | 2024-07-02 |
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104360206A (en) * | 2014-12-02 | 2015-02-18 | 国家电网公司 | Electric heating equipment temperature abnormity analysis device and analysis method |
| CN111769649A (en) * | 2020-07-31 | 2020-10-13 | 国网山东省电力公司寿光市供电公司 | Cable intermediate head monitoring system |
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104360206A (en) * | 2014-12-02 | 2015-02-18 | 国家电网公司 | Electric heating equipment temperature abnormity analysis device and analysis method |
| CN111769649A (en) * | 2020-07-31 | 2020-10-13 | 国网山东省电力公司寿光市供电公司 | Cable intermediate head monitoring system |
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