CN111796205B - AC220V loop electric safety control method and system - Google Patents
AC220V loop electric safety control method and system Download PDFInfo
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Abstract
The invention provides an AC220V loop electric safety control method and system, and relates to the technical field of electric safety control. The method comprises the following steps: collecting real-time electric signals of a monitored AC220V loop; the chip processes the real-time electric signals to obtain real-time data, alarm event data and time period data, wherein the real-time data comprises fundamental wave load voltage U, fundamental wave load current I and full wave residual current I 0 Fundamental wave residual current I s The U and I s Absolute value of the phase angle difference cosine of (2)
The device is used for classifying the leakage alarm event; and summarizing and storing real-time data, alarm event data and time period data of the loop through the cloud server, and displaying according to page design for reading and analysis of a user. The invention solves the problems of over-high false alarm frequency and over-estimation of the degree of electrical safety hidden danger of the power system in the state of more inductive interference components in the prior art, and realizes more accurate alarm and early warning of the electrical safety hidden danger of the power system.
Description
Technical Field
The invention relates to the technical field of electric safety control, in particular to an AC220V loop electric safety control method and system.
Background
In various safety accidents in the current stage of China, the number and the harmfulness of electric safety accidents such as electric fire and the like are in the first place. And because the electric fire has the characteristics of strong concealment, quick combustion, difficult extinguishment and the like, people are aware of the importance of performing safety control work such as electric fire monitoring and the like.
At present, the electric safety monitoring work is better done, and people start to introduce new electric monitoring indexes based on residual current and temperature detection technology, so that different factors causing electric safety accidents are considered in multiple directions. For example, the invention patent with the publication number of CN109596947A discloses an insulation-based electrical insulation aging monitoring and early warning method and device.
However, the applicant of the present invention has found that in the technical field of electrical safety control, in particular in AC220V circuits, only increasing the measurement of the insulation factor is far from sufficient for warning electrical safety accidents such as electrical fires. Because this fails to solve the problem that the electrical system has too high false alarm frequency and overestimates the degree of electrical safety hidden trouble in the state where there are many inductive interference components.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the invention provides an AC220V loop electric safety control method and system, which solve the problems of over-high false alarm frequency and over-estimated electric safety hidden trouble degree of an electric system in the prior art under the state that more inductive interference components exist.
(II) technical scheme
In order to achieve the above purpose, the invention is realized by the following technical scheme:
an AC220V loop electrical safety control method, the method comprising:
s1, collecting a real-time electric signal of a monitored AC220V loop, filtering and adjusting the real-time electric signal by a signal conditioning circuit, and inputting the real-time electric signal into a chip with an electric energy metering function, wherein the real-time electric signal comprises a load current, a load voltage and a residual current signal;
s2, processing the real-time electric signals by the chip to obtain real-time data, wherein the method specifically comprises the following steps of:
s21, sampling the real-time electric signal by the chip and calculating the effective value of the sliding window, wherein the sliding scale of the sliding window is a preset time period, the chip continuously calculates the real-time electric signal to obtain real-time data, meanwhile, judging the real-time data at intervals of the sliding scale according to a preset threshold value group, generating alarm event data in real time,
The alarm event includes overvoltage, undervoltage, overcurrent and electric leakage of the loop,
the real-time data includes full wave negativesLoad voltage, fundamental load voltage U, full-wave load current, fundamental load current I, full-wave residual current I 0 Fundamental wave residual current I s U and I s Absolute value of the phase angle difference cosine of (2)
/>
The chip comprises a module for calculating active power, generating fundamental wave active power, and combining U, I s Generating
Recombination I 0 、I s For classifying the leakage alarm event,
s22, sampling the real-time electric signal and calculating the jump window time integral, wherein the jump window width is a preset time period, the chip calculates real-time electric signal generation period data every other jump window width, and the period data comprises fundamental wave residual active electric energy which is used for measuring the real electric fire risk of the loop in the jump window width.
Preferably, the classification of the leakage alarm event in step S21 specifically refers to:
when the full wave residual current I 0 When the residual current is larger than the full-wave residual current threshold value, the leakage alarm event is common leakage,
when the fundamental wave residual current I s Greater than the fundamental residual current threshold and
less than or equal to U and I s When the absolute value of the phase angle difference cosine is threshold, the leakage alarm event is capacitive leakage,
When the fundamental wave residual current I s Greater than the fundamental residual current threshold and
greater than U and I s When the absolute value of the phase angle difference cosine is threshold, the leakage alarm event is resistive leakage.
Preferably, the steps ofThe fundamental wave residual active electric energy in step S22 is
The integral over the window width of the jump window is denoted +.>
The measurement specifically refers to: and comparing the fundamental wave residual active power with a preset fundamental wave residual active power threshold value, and judging that the loop has real electric fire risk within the window width of the jump window when the fundamental wave residual active power is higher than the preset fundamental wave residual active power threshold value.
Preferably, the time period data in step S22 further includes a time integral of the fundamental active insulated conductance within the window width of the jump window, denoted as
The method is used for measuring the real insulation condition of the loop in the window width of the jump window;
preferably, it is denoted as
The method is used for judging the position of the occurrence of the leakage alarm event, the real fire risk abnormality or the real insulation condition abnormality.
Preferably, the real-time electric signal in step S1 further includes live wire and zero wire temperature signals, the real-time data in step S2 further includes live wire and zero wire temperature real-time data, and the alarm event further includes loop live wire or zero wire overtemperature.
Preferably, step S1 further includes uploading the real-time electrical signal to a cloud server; step S21 also comprises uploading real-time data and alarm event data to a cloud server; step S22 also comprises uploading the time period data to a cloud server;
The method further comprises the steps of:
and S3, summarizing and storing real-time data, alarm event data and time period data of the loop through the cloud server, and displaying according to page design for reading and analysis of a user.
Preferably, in step S3,
the cloud server is also used for carrying out unread continuous prompt on alarm event data, counting according to a preset period and designing a full closed loop treatment process; the system is also used for automatically generating a monitoring data report for downloading at regular intervals; the system is also used for generating early warning events based on the time period data and the hidden danger analysis expert system, displaying the early warning events, continuously prompting the early warning events without reading, counting according to a preset time period and designing a full closed loop treatment process; the intelligent diagnosis and treatment method is also used for developing intelligent suggestion functions of the hidden danger intelligent diagnosis and treatment method based on real-time data, alarm event data, time period data and early warning event count of the loop and the hidden danger analysis expert system.
Preferably, the system comprises a monitoring terminal;
the monitoring terminal is used for collecting real-time electric signals of the monitored AC220V loop, generating real-time data, alarm event data and time period data according to the calculation of the real-time electric signals, wherein the real-time electric signals comprise load current, load voltage and residual current signals,
The monitoring terminal comprises a transformer group, an edge calculation module, an audible and visual alarm module and a cloud communication module, wherein the transformer group, the audible and visual alarm module and the cloud communication module are respectively connected with the edge calculation module, the edge calculation module outputs corresponding alarm instructions through the audible and visual alarm module, the cloud communication module is used for receiving real-time data, alarm event data and time period data, transmitting and receiving instructions issued by a cloud server to the cloud server and transmitting the instructions to the edge calculation module,
the transformer group comprises a load voltage transformer group, a load current transformer group and a residual current transformer, the transformer group is used for collecting real-time electric signals,
the edge computing module comprises a signal conditioning circuit and a chip with an electric energy metering function, the signal conditioning circuit and the chip are connected with each other, the signal conditioning circuit is used for filtering and adjusting the real-time electric signal and inputting the real-time electric signal into the chip,
the chip processes the real-time electric signal to obtain real-time data, and specifically comprises the following steps:
the chip is used for sampling the real-time data and calculating the effective value of the sliding window, the sliding scale of the sliding window is a preset time period, the chip continuously calculates the real-time electric signal to obtain the real-time data, meanwhile, the real-time data is judged at intervals of the sliding scale according to a preset threshold value group, the alarm event data is generated in real time, the alarm event comprises overvoltage, undervoltage, overcurrent and electric leakage of a loop, and a corresponding real-time alarm instruction is output to the audible and visual alarm module according to the type of the alarm event,
The real-time data comprises a full-wave load voltage, a fundamental wave load voltage U, a full-wave load current, a fundamental wave load current I and a full-wave residual current I 0 Fundamental wave residual current I s U and I s Absolute value of the phase angle difference cosine of (2)
The chip comprises a module for calculating single-phase active power, generating fundamental active power, and combining U, I s Generating
Recombination I 0 、I s For classifying the leakage alarm event,
the chip is also used for sampling the real-time electric signal and calculating the time integral of the jump window, the window width of the jump window is a preset time period, the chip calculates the real-time electric signal every other window width of the jump window to obtain real-time data, the time period data comprises fundamental wave residual active electric energy, and the fundamental wave residual active electric energy is used for measuring the real electric fire risk of the loop within the window width of the jump window.
Preferably, the classification of the leakage alarm event specifically refers to:
when the full wave residual current I 0 When the residual current is larger than the full-wave residual current threshold value, the leakage alarm event is common leakage,
when the fundamental wave residual current I s Greater than the fundamental residual current threshold and
less than or equal to U and I s When the absolute value of the phase angle difference cosine of (2) is thresholdThe leakage alarm event is a capacitive leakage,
when the fundamental wave residual current I s Greater than the fundamental residual current threshold and
greater than U and I s When the absolute value of the phase angle difference cosine is threshold, the leakage alarm event is resistive leakage.
Preferably, the fundamental wave residual active power is
The integral over the window width of the jump window is noted as
The classification of the leakage alarm event specifically refers to: comparing the fundamental wave residual active power with a preset fundamental wave residual active power threshold value, and judging that the real electric fire risk exists in the loop within the window width of the jump window when the fundamental wave residual active power is higher than the preset fundamental wave residual active power threshold value;
the time interval data also comprises the time integral of the active insulated conductance of the fundamental wave in the window width of the jump window, which is recorded as
For measuring the true insulation of the loop within the window width of the jump window,
the time period data also includes fundamental wave demand within the window width of the jump window, recorded as
The method is used for judging the position of the occurrence of the leakage alarm event, the real fire risk abnormality or the real insulation condition abnormality.
(III) beneficial effects
The invention provides an AC220V loop electric safety control method and system. Compared with the prior art, the method has the following beneficial effects:
1. the invention is introduced when the leakage alarm occurs : absolute value of phase angle difference cosine of fundamental wave load voltage and fundamental wave residual current
Full wave residual current I 0 And the fundamental wave residual current Is, so that the residual current overcurrent event Is classified. Different conditions are set for judging the leakage alarm event, the capacitive interference in the monitored AC220V loop is considered in practice, and the problem that the false alarm frequency is too high or the electrical potential safety hazard degree is overestimated when the fundamental capacitive interference is large in the power utilization system is effectively solved.
2. According to the invention, the index of fundamental wave residual active power is introduced, and the fundamental wave residual active power is compared with the preset fundamental wave residual active power threshold, and when the fundamental wave residual active power is higher than the preset fundamental wave residual active power threshold, the AC220V loop is judged to have real electric fire risks in the width of the jump window, so that the real electric fire risks under the conditions of high voltage and high Rong Ganxing interference can be measured more accurately, the early warning and monitoring accuracy is improved, and the system applicability is improved.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of an embodiment of an AC220V loop electrical safety control method;
FIG. 2 is a schematic diagram of an embodiment of an AC220V loop electrical safety control system;
FIG. 3 is a schematic diagram of an edge computation module embodiment;
fig. 4 is a schematic diagram of an AC220V loop electrical safety control system according to another embodiment.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention are clearly and completely described, and it is obvious that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
According to the AC220V loop electrical safety control method and system, the problems that in the prior art, the frequency of false alarm is too high and the degree of electrical safety hidden danger is overestimated under the condition that more inductive interference components exist in an electrical system are solved, and the electrical safety hidden danger of an electrical system is accurately warned and early warned are achieved.
The technical scheme in the embodiment of the application aims to solve the technical problems, and the overall thought is as follows:
when the leakage alarm occurs, the embodiment of the invention is introduced: absolute value of phase angle difference cosine of fundamental wave load voltage and fundamental wave residual current
Full wave residual current I 0 And the fundamental wave residual current Is, so that the residual current overcurrent event Is classified. Different conditions are set for judging the leakage alarm event, the capacitive interference in the monitored AC220V loop is considered in practice, and the risk that the electrical potential safety hazard is easily misreported or overestimated when the fundamental capacitive interference is large by the electrical system is effectively avoided. According to the embodiment of the invention, the index of the fundamental wave residual active power is introduced, and the index is compared with the preset fundamental wave residual active power threshold, and when the fundamental wave residual active power is higher than the preset fundamental wave residual active power threshold, the AC220V loop is judged to have the real electric fire risk in the width of the jump window, so that the real electric fire risk under the conditions of high voltage and high Rong Ganxing interference can be measured more accurately, the early warning monitoring accuracy is improved, and the system applicability is improved.
In order to better understand the above technical solutions, the following detailed description will refer to the accompanying drawings and specific embodiments.
Example 1:
the embodiment of the invention provides an AC220V loop electric safety control method, as shown in fig. 1, comprising the following steps:
s1, collecting real-time electric signals of a monitored AC220V loop, filtering and adjusting the real-time electric signals through a signal conditioning circuit, and inputting the real-time electric signals into a chip with an electric energy metering function.
The real-time electrical signals include load current, load voltage, residual current, live wire and neutral wire temperature signals.
S21, sampling the real-time electric signal and calculating the effective value of a sliding window by the chip, wherein the window width and the sliding scale of the sliding window are both in a preset time period, the window width is 0.5 second, namely 25 cycles, and the sliding scale is 0.005 second, namely one quarter cycle. The chip continuously calculates the real-time electric signals to obtain real-time data, the register is updated 1 time every 1 second, meanwhile, according to a preset threshold value group, the real-time data are judged every sliding scale, namely 0.005 seconds, and alarm event data are generated in real time and uploaded to the cloud server.
The real-time data includes full-wave load voltage, fundamental load voltage U, full-wave load current, fundamental load current I, and full-wave residual current I 0 Fundamental wave residual current I s U and I s Absolute value of the phase angle difference cosine of (2)
Live wire and zero wire temperature real-time data.
Wherein each threshold value in the preset threshold value group corresponds to real-time data one by one, and specifically comprises a full-wave load voltage threshold value, a fundamental wave load voltage threshold value, a full-wave load current threshold value, a fundamental wave load current threshold value, a full-wave residual current threshold value, a fundamental wave residual current threshold value, U and I s An absolute value threshold of the phase angle difference cosine of the power line and zero line temperature signals.
The chip comprises a module for calculating the active power,generating fundamental active power in combination with U, I s Generating
Recombination I 0 、I s The method is used for classifying the leakage alarm event, and specifically comprises the following steps:
when I 0 >At 300mA, the leakage alarm event is a general leakage,
when I s >300mA and
when the leakage alarm event is a capacitive leakage,
when I s >300mA and
the leakage alarm event is a resistive leakage.
By introducing: absolute value of phase angle difference cosine of fundamental wave load voltage and fundamental wave residual current
Full wave residual current I 0 And the fundamental wave residual current Is, so that the residual current overcurrent event Is classified. Different conditions are set for judging the leakage alarm event, the capacitive interference in the monitored AC220V loop is considered in practice, and the risk that the electrical potential safety hazard is easily misreported or overestimated when the fundamental capacitive interference is large by the electrical system is effectively avoided.
S22, sampling the real-time electric signal and calculating the time integral of the jump window by the chip, wherein the width of the jump window is a preset time period, and the width of the jump window is 1 hour. The chip calculates real-time data every 1 hour, generates time period data and uploads the time period data to the cloud server, wherein the time period data comprises fundamental wave residual active electric energy, namely
The integral over the window width of the jump window is denoted +.>
The method is used for measuring the real electric fire risk of the loop within the window width of the jump window, and specifically comprises the following steps:
and comparing the fundamental wave residual active power with a preset fundamental wave residual active power threshold value, and judging that the loop has real electric fire risk within the width of the jump window when the fundamental wave residual active power is higher than the preset fundamental wave residual active power threshold value. The preset fundamental wave residual active power energy threshold value is determined according to a specific application scene of the AC220V loop, for example, 30mA is used as a reference, which is defined by national standards, of a three-level distribution single-phase leakage alarm threshold value, 30mA is multiplied by 220V, and then the three-level distribution single-phase leakage alarm threshold value is integrated according to a preset time period, so that a preset threshold value is obtained, when the fundamental wave residual active power energy is higher than the value, the total energy output by the monitored AC220V loop in a leakage heating mode in the preset time period exceeds the safety standard defined by the national standards, and attention is required, so that the actual electric fire risk of the monitored AC220V loop can be measured. It should be noted that, the national standard is a recommended standard, but not a mandatory standard, so the embodiment of the present invention does not make a unique limitation on the preset fundamental wave residual active power threshold.
The time interval data also comprises the time integral of the active insulated conductance of the fundamental wave in the width of the jump window, which is recorded as
The method is used for measuring the real insulation condition of the loop in the window width of the jump window, and specifically comprises the following steps:
comparing the time integral of the fundamental wave active insulated conductance with a preset time integral threshold value of the fundamental wave active insulated conductance, and judging that the real insulation condition of the loop is abnormal when the time integral of the fundamental wave active insulated conductance is higher than the preset time integral threshold value of the fundamental wave active insulated conductance. The preset time integral threshold value of the active insulated conductance of the fundamental wave is determined according to the specific application scene of the AC220V loop, for example, 30mA is taken as a reference, which is defined by national standards, of the three-level distribution single-phase leakage alarm threshold value, 30mA is divided by 220V, and then the integral is carried out according to a preset time period, so that a preset threshold value is obtained, when the time integral of the active insulated conductance of the fundamental wave is higher than the value, the real insulation condition of the monitored AC220V loop in the preset time period is inferior to the safety standard defined by the national standards, and attention is required, so that the real insulation condition of the monitored AC220V loop can be measured. It should be noted that, the national standard is a recommended standard, but not a mandatory standard, so the embodiment of the present invention does not make a unique limitation on the preset fundamental active insulation conductance threshold.
The time interval data also comprises fundamental wave demand in the window width of the jump window, which is recorded as
The method is used for judging the position of the occurrence of an electric leakage alarm event, a real fire risk abnormality or a real insulation condition abnormality, and specifically comprises the following steps:
the pearson correlation coefficient rho of two time sequences formed by the residual active power of the fundamental wave and the fundamental wave demand value of the loop fundamental wave is calculated by a sliding window method, the window width is 24 hours, the sliding scale is 1 hour, the calculated result per hour is compared with a preset coefficient threshold value, and the preset coefficient threshold value in the embodiment of the invention is 0.5.
When rho is less than or equal to 0.5, if the residual current, the real electric fire risk and the abnormal condition that the real insulation condition is higher than the threshold value occur in the loop in the hour, judging that the actual occurrence position of the abnormality is at the position of a line or a socket with high probability;
when ρ is more than 0.5, if the residual current, the real electric fire risk and the abnormal condition that the real insulation condition is higher than the threshold value occur in the loop within the hour, the abnormal actual occurrence position is judged to be a position of a certain electric appliance.
And S3, summarizing and storing real-time data, alarm event data and time period data of the loop through the cloud server, and displaying according to page design for reading and analysis by a user.
The cloud server is further used for carrying out unread continuous prompt on the alarm event data, counting according to a preset period and designing a full closed loop treatment process; the system is also used for automatically generating a monitoring data report for downloading at regular intervals; the method is also used for generating early warning events based on the time period data and a hidden danger analysis Expert System (Expert System), displaying the early warning events, continuously prompting the early warning events without reading, counting according to a preset time period and designing a full closed loop treatment flow; and the intelligent suggestion function is also used for developing the intelligent diagnosis and treatment method of the hidden danger based on the real-time data, the alarm event data, the time period data, the early warning event count and the hidden danger analysis Expert System (Expert System) of the loop. Wherein, hidden danger analysis Expert System (Expert System) includes hidden danger diagnosis rule base.
In addition, the alarm event in the step S1 specifically includes four types of loop overvoltage, undervoltage, overcurrent and leakage, as shown in table 1.
TABLE 1
The alarm modes corresponding to the different alarm intensities in table 1 are shown in table 2.
TABLE 2
In the step S2, the chip is further configured to continuously calculate real-time electrical signals according to the load current, the load voltage, the residual current, the signal, and the live wire and zero wire temperature signals, and upload 18 real-time data sets of real-time values of the monitored AC220V loop load voltage, the load current, the residual current, the apparent power, the full wave of the active power, the full wave of the reactive power, the fundamental wave, and the harmonic wave, and the live wire and zero wire temperature real-time numbers through the cloud communication module or the communication terminal when receiving the query command sent by the cloud server Based on 2 groups, and the absolute value of the cosine of the phase angle difference between the fundamental load voltage and the fundamental residual current
Real-time data 1 group.
Example 2:
an embodiment of the present invention provides an AC220V loop electrical safety control system, as shown in fig. 2, the system comprising: the system comprises a monitoring terminal, a cloud server and a display and control terminal, wherein the monitoring terminal, the cloud server and the display and control terminal are sequentially connected.
The monitoring terminal is deployed at each level of distribution boxes and distribution cabinets of the low-voltage alternating current system, and is used for collecting real-time electric signals of the monitored AC220V loop, uploading the real-time electric signals to the cloud server, calculating and generating and uploading alarm event data and time period data according to the real-time electric signals, and uploading the alarm event data and time period data to the cloud server.
The monitoring terminal comprises a transformer group, an edge calculation module, an audible and visual alarm module, a cloud communication module, a display screen and key module, a power supply module, a temperature sensor group and a shunt tripping breaker, wherein the transformer group, the audible and visual alarm module, the cloud communication module, the display screen and key module, the power supply module, the temperature sensor group and the shunt tripping breaker are respectively connected with the edge calculation module, the edge calculation module outputs a corresponding alarm instruction through the audible and visual alarm module according to the type of an alarm event, and the edge calculation module executes corresponding operation according to the instruction input by the display screen and key module, the cloud server or the display and control terminal, for example, outputs a specific instruction to a specified module, and displays specific data or information through the display screen and the key module or the display and control terminal.
The mutual inductor group is composed of a plurality of groups of loop monitoring mutual inductor groups, each group of loop monitoring mutual inductor groups comprises 1 load voltage mutual inductor group, 1 load current mutual inductor group and 1 residual current mutual inductor which are respectively used for collecting corresponding real-time electric signals of the loop, the real-time data comprises load current, load voltage and residual current signals,
the temperature sensor group is composed of an AC220V loop temperature sensor group, and the AC220V loop temperature sensor group comprises 1 live wire temperature sensor and 1 zero line temperature sensor which are respectively used for collecting live wire temperature signals and zero line temperature signals of a monitored AC220V loop.
As shown in fig. 3, the edge calculation module includes a signal conditioning circuit and a chip with an electric energy metering function, the signal conditioning circuit and the chip are connected with each other, the signal conditioning circuit is used for filtering the real-time data and inputting the filtered real-time data into the chip, and the model of the chip is ATT7022E.
The chip samples the real-time electric signal and calculates the effective value of the sliding window, wherein the window width and the sliding scale of the sliding window are both in a preset time period, the window width is 0.5 second, namely 25 cycles, and the sliding scale is 0.005 second, namely one quarter cycle. The chip continuously calculates real-time data obtained by the real-time electric signals, updates the register 1 time every 1 second, judges the real-time data every 0.005 second which is the sliding scale according to the preset threshold value group, generates alarm event data in real time and uploads the alarm event data to the cloud server.
The real-time data includes full-wave load voltage, fundamental load voltage U, full-wave load current, fundamental load current I, and full-wave residual current I 0 Fundamental wave residual current I s U and I s Absolute value of the phase angle difference cosine of (2)
Live wire and zero wire temperature real-time data.
Wherein each threshold value in the preset threshold value group corresponds to real-time data one by one, and specifically comprises a full-wave load voltage threshold value, a fundamental wave load voltage threshold value, a full-wave load current threshold value, a fundamental wave load current threshold value, a full-wave residual current threshold value, a fundamental wave residual current threshold value, U and I s An absolute value threshold of the phase angle difference cosine of the power line and zero line temperature signals.
The chip comprises a module for calculating active power, generating fundamental wave active power, and combining U, I s Generating
Recombination I 0 、I s The method is used for classifying the leakage alarm event, and specifically comprises the following steps:
when I 0 >At 300mA, the leakage alarm event is a general leakage,
when I s >300mA and
when the leakage alarm event is a capacitive leakage,
when I s >300mA and
the leakage alarm event is a resistive leakage.
By introducing: absolute value of phase angle difference cosine of fundamental wave load voltage and fundamental wave residual current
Full wave residual current I 0 And the fundamental wave residual current Is, so that the residual current overcurrent event Is classified. Different conditions are set for judging the leakage alarm event, the capacitive interference in the monitored AC220V loop is considered in practice, and the risk of over-high false alarm frequency or overestimation of electrical potential safety hazards when the fundamental capacitive interference of the power utilization system is large is effectively avoided.
The chip samples the real-time electric signal and calculates the time integral of the jump window, the width of the jump window is a preset time period, and the width of the jump window is 1 hour. The chip calculates real-time data every 1 hour, generates time period data and uploads the time period data to the cloud server, wherein the time period data comprises fundamental wave residual active electric energy, namely
The integral over the window width of the jump window is noted as
The method is used for measuring the real electric fire risk of the loop within the window width of the jump window, and specifically comprises the following steps:
comparing the time integral of the fundamental wave active insulated conductance with a preset time integral threshold value of the fundamental wave active insulated conductance, and judging that the real insulation condition of the loop is abnormal when the time integral of the fundamental wave active insulated conductance is higher than the preset time integral threshold value of the fundamental wave active insulated conductance. The preset time integral threshold value of the active insulated conductance of the fundamental wave is determined according to the specific application scene of the AC220V loop, for example, 30mA is taken as a reference, which is defined by national standards, of the three-level distribution single-phase leakage alarm threshold value, 30mA is divided by 220V, and then the integral is carried out according to a preset time period, so that a preset threshold value is obtained, when the time integral of the active insulated conductance of the fundamental wave is higher than the value, the real insulation condition of the monitored AC220V loop in the preset time period is inferior to the safety standard defined by the national standards, and attention is required, so that the real insulation condition of the monitored AC220V loop can be measured. It should be noted that, the national standard is a recommended standard, but not a mandatory standard, so the embodiment of the present invention does not make a unique limitation on the preset fundamental active insulation conductance threshold.
The time interval data also comprises the time integral of the active insulated conductance of the fundamental wave in the width of the jump window, which is recorded as
The method is used for measuring the real insulation condition of the loop in the window width of the jump window, and specifically comprises the following steps:
comparing the time integral of the fundamental wave active insulated conductance with a preset time integral threshold value of the fundamental wave active insulated conductance, and judging that the real insulation condition of the loop is abnormal when the time integral of the fundamental wave active insulated conductance is higher than the preset time integral threshold value of the fundamental wave active insulated conductance. The preset time integral threshold value of the active insulated conductance of the fundamental wave is determined according to the specific application scene of the AC220V loop, for example, 30mA is taken as a reference, which is defined by national standards, of the three-level distribution single-phase leakage alarm threshold value, 30mA is divided by 220V, and then the integral is carried out according to a preset time period, so that a preset threshold value is obtained, when the time integral of the active insulated conductance of the fundamental wave is higher than the value, the real insulation condition of the monitored AC220V loop in the preset time period is inferior to the safety standard defined by the national standards, and attention is required, so that the real insulation condition of the monitored AC220V loop can be measured. It should be noted that, the national standard is a recommended standard, but not a mandatory standard, so the embodiment of the present invention does not make a unique limitation on the preset fundamental active insulation conductance threshold.
The time interval data also comprises fundamental wave demand in the window width of the jump window, which is recorded as
The method is used for judging the position of the occurrence of an electric leakage alarm event, a real fire risk abnormality or a real insulation condition abnormality, and specifically comprises the following steps:
the pearson correlation coefficient rho of two time sequences formed by the residual active power of the fundamental wave and the fundamental wave demand value of the loop fundamental wave is calculated by a sliding window method, the window width is 24 hours, the sliding scale is 1 hour, the calculated result per hour is compared with a preset coefficient threshold value, and the preset coefficient threshold value in the embodiment of the invention is 0.5.
When rho is less than or equal to 0.5, if the residual current, the real electric fire risk and the abnormal condition that the real insulation condition is higher than the threshold value occur in the loop in the hour, judging that the actual occurrence position of the abnormality is at the position of a line or a socket with high probability;
when ρ is more than 0.5, if the residual current, the real electric fire risk and the abnormal condition that the real insulation condition is higher than the threshold value occur in the loop within the hour, the abnormal actual occurrence position is judged to be a position of a certain electric appliance.
The audible and visual alarm module comprises a buzzer and an LED lamp and is used for receiving the instruction output by the edge calculation module to carry out different types of audible and visual alarm.
The display screen and key module comprises a liquid crystal display screen and a keyboard, and is used for displaying specific data or information according to the instruction output by the edge computing module and inputting the instruction to the edge computing module.
The shunt tripping circuit breaker is used for breaking a circuit according to the instruction output by the edge calculation module.
The power supply module is composed of a main power supply, a standby battery and a relay switch and is used for supplying power to the monitoring terminal, and the standby battery and the relay switch can enable the monitoring terminal to work for a period of time after the main power supply is powered off, so that the system has a power-off notification function.
The cloud communication module and the cloud server are in information interaction, and the cloud communication module is used for receiving real-time data, alarm event data and time period data, transmitting the real-time data, the alarm event data and the time period data to the cloud server, receiving an instruction issued by the cloud server and transmitting the instruction to the edge calculation module. In the embodiment of the invention, the cloud communication module is matched with a model with a protocol compatible function, specifically, the cloud communication module can be simultaneously connected with monitoring equipment of other cloud computing architectures such as a microcomputer comprehensive protection device, a smoke detector, a combustible gas alarm, a fire water level sensor, a flowmeter and the like to carry out cloud communication.
The cloud server is used for summarizing and storing the real-time data, the alarm event data and the time period data. In the embodiment of the invention, the cloud server is deployed on a third-party cloud computing platform (such as an Arian cloud) or a server room designated by a user, is used for deploying cloud platform software matched with the system, and has the following functions:
summarizing and storing real-time data, alarm event data and time period data of the loop, and displaying according to page design for reading and analyzing by a user; performing unread continuous prompt on the alarm event data, counting according to a preset period, and designing a full closed loop treatment process; automatically generating a monitoring data report for downloading at regular intervals; generating an early warning event based on the time period data and a hidden danger analysis Expert System (Expert System), displaying the early warning event, continuously prompting the early warning event without reading, counting according to a preset time period, and designing a full closed loop treatment flow; and developing intelligent diagnosis and intelligent suggestion functions of a hidden danger disposal method based on the real-time data, alarm event data, time period data, the early warning event count and the hidden danger analysis Expert System (Expert System) of the loop. Wherein, hidden danger analysis Expert System (Expert System) includes hidden danger diagnosis rule base.
The display and control terminal comprises a desktop computer, a notebook computer, a tablet computer, a mobile phone or a special handheld inspection terminal connected with the cloud server in a wired or wireless communication mode, is deployed at a position appointed by a user or carried by a user appointed person, and is used for displaying specific data or information in a mode of page design of cloud platform software matched with the system and inputting instructions to the cloud server.
In addition, the alarm event specifically comprises four types of loop overvoltage, undervoltage, overcurrent and electric leakage, and is specifically shown in table 3.
TABLE 3 Table 3
The alarm modes corresponding to the different alarm intensities in table 1 are shown in table 4.
TABLE 4 Table 4
In the step S2, the chip is further configured to continuously calculate real-time electrical signals according to the load current, the load voltage, the residual current, the signal, and the live wire and neutral wire temperature signals, upload 18 sets of real-time data of the monitored AC220V loop load voltage, the load current, the residual current, the apparent power, the full wave of the active power, the full wave of the reactive power, the fundamental wave, and the harmonic wave effective value, 2 sets of real-time data of the live wire and neutral wire temperature, and 2 sets of the fundamental wave load voltage and the fundamental wave residual wave through the cloud communication module when receiving the query command sent by the cloud server Absolute value of current phase angle difference cosine
Real-time data 1 group.
In addition, the embodiment of the invention also provides an AC220V loop electric safety control system, as shown in fig. 4, which comprises: the system comprises a non-independent monitoring terminal, a communication terminal, a cloud server and a display and control terminal, wherein the non-independent monitoring terminal, the communication terminal, the cloud server and the display and control terminal are sequentially connected. It should be understood that, the communication terminal herein may be regarded as a cloud communication module that replaces the monitoring terminal in the above embodiment, but the networking communication module is used inside the non-independent monitoring terminal to replace the cloud communication module.
The networking communication module refers to a protocol converter or a communication chip, supports common wired communication modes such as an RS485 and a CAN bus, and CAN also selectively support other wired communication modes such as an RS232 or wireless communication modes such as bluetooth and WIFI.
The combination of the non-independent monitoring terminal and the communication terminal is equivalent to the monitoring terminal in the embodiment, and the working principle of the two whole schemes is completely consistent. And thus can also be regarded as a modification of the above-described embodiments, and will not be described in detail herein.
In summary, compared with the prior art, the method has the following beneficial effects:
1. when the leakage alarm occurs, the invention is introduced: absolute value of phase angle difference cosine of fundamental wave load voltage and fundamental wave residual current
Full wave residual current I 0 And the fundamental wave residual current Is, so that the residual current overcurrent event Is classified. Different conditions are set for judging the leakage alarm event, the capacitive interference in the monitored AC220V loop is considered in practice, and the problem that the false alarm frequency is too high or the electrical potential safety hazard degree is overestimated when the fundamental capacitive interference is large in the power utilization system is effectively solved。
2. According to the embodiment of the invention, the index of the fundamental wave residual active power is introduced, and compared with the preset fundamental wave residual active power threshold, when the fundamental wave residual active power is higher than the preset fundamental wave residual active power threshold, the AC220V loop is judged to have the real electric fire risk in the width of the jump window, so that the real electric fire risk under the conditions of high voltage and high Rong Ganxing interference can be measured more accurately, the early warning and monitoring accuracy is improved, and the system applicability is improved.
3. The embodiment of the invention is introduced by the following steps: the fundamental wave requirement in the window width of the jump window is recorded as 
The method can be used for judging the position where the leakage alarm event, the real fire risk abnormality or the real insulation condition abnormality occurs.
4. The embodiment of the invention is introduced by the following steps: the time integral of the fundamental active insulated conductance over the width of the jump window is noted as
For measuring the true insulation of the loop within the window width of the jump window.
It should be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises an element.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (8)
1. A method of AC220V loop electrical safety management, the method comprising:
s1, collecting a real-time electric signal of a monitored AC220V loop, filtering and adjusting the real-time electric signal by a signal conditioning circuit, and inputting the real-time electric signal into a chip with an electric energy metering function, wherein the real-time electric signal comprises a load current, a load voltage and a residual current signal;
s2, the chip processes the real-time electric signals to obtain real-time data, and the method specifically comprises the following steps:
s21, the chip samples the real-time electric signal and calculates the effective value of a sliding window, the sliding scale of the sliding window is a preset time period, the chip continuously calculates the real-time electric signal to obtain the real-time data, meanwhile, according to a preset threshold value group, the real-time data is judged every other sliding scale, alarm event data is generated in real time,
the alarm event comprises overvoltage, undervoltage, overcurrent and electric leakage of the loop,
the real-time data comprises a full-wave load voltage, a fundamental load voltage U, a full-wave load current, a fundamental load current I and a full-wave residual current I 0 Fundamental wave residual current I s The U and I s Absolute value of the phase angle difference cosine of (2)
The chip comprises a module for calculating active power, generating fundamental wave active power, and combining with the U, I s Generating the said
Re-combining the I 0 、I s For giving alarm to electric leakageThe event is classified into a category of events,
s22, the chip samples the real-time electric signal and calculates a time integral of a jump window, wherein the window width of the jump window is a preset time period, the chip calculates the real-time electric signal to generate time period data every other the window width of the jump window, the time period data comprises fundamental wave residual active electric energy, and the fundamental wave residual active electric energy is used for measuring the real electric fire risk of the loop in the window width of the jump window;
the step S21 of classifying the leakage alarm event specifically refers to:
when the full wave residual current I 0 When the residual current is larger than the full-wave residual current threshold value, the leakage alarm event is a general leakage,
when the fundamental wave residual current I s Greater than the fundamental residual current threshold and
less than or equal to U and I s When the absolute value of the phase angle difference cosine of the phase angle is threshold, the leakage alarm event is capacitive leakage,
when the fundamental wave residual current I s Greater than the fundamental residual current threshold and
is larger than the U and I s The leakage alarm event is a resistive leakage when the absolute value of the phase angle difference cosine of (a) is threshold.
2. The AC220V loop electrical safety control method according to claim 1, wherein the fundamental wave residual active power in step S22 is 
The integral over the window width of the jump window is noted as
The measurement specifically refers to: and comparing the fundamental wave residual active power with a preset fundamental wave residual active power threshold value, and judging that the loop has real electric fire risk within the window width of the jump window when the fundamental wave residual active power is higher than the preset fundamental wave residual active power threshold value.
3. The AC220V loop electrical safety control method according to claim 2, wherein the time period data in step S22 further comprises a time integral of the fundamental active insulation conductance within the window width of the jump window, denoted as
For measuring the true insulation of the loop within the window width of the jump window;
the time period data in the step S22 also comprises fundamental wave demand in the window width of the jump window, which is recorded as
The method is used for judging the position of the occurrence of the leakage alarm event, the real fire risk abnormality or the real insulation condition abnormality.
4. The AC220V loop electrical safety control method of claim 1, wherein said real-time electrical signal in S1 further comprises live and neutral temperature signals, said real-time data in S2 further comprises live and neutral temperature real-time data, and said alarm event further comprises said loop live or neutral overtemperature.
5. The AC220V loop electrical safety control method of claim 1, wherein,
the step S1 is that the real-time electric signal is uploaded to a cloud server; step S21 further includes uploading the real-time data and the alarm event data to a cloud server; step S22 further includes uploading the period data to the cloud server;
the method further comprises the steps of:
and S3, summarizing and storing real-time data, alarm event data and time period data of the loop through the cloud server, and displaying according to page design for reading and analysis by a user.
6. The method for electrical safety control of an AC220V circuit as claimed in claim 5, wherein, in S3,
the cloud server is also used for carrying out unread continuous prompt on the alarm event data, counting according to a preset period and designing a full closed loop treatment process; the system is also used for automatically generating a monitoring data report for downloading at regular intervals; the system is also used for generating early warning events based on the time period data and the hidden danger analysis expert system, displaying the early warning events, continuously prompting the early warning events without reading, counting according to a preset time period and designing a full closed loop treatment flow; and the intelligent suggestion function is also used for developing the intelligent diagnosis and treatment method of the hidden danger based on the real-time data, the alarm event data, the time period data and the early warning event count of the loop and the hidden danger analysis expert system.
7. An AC220V loop electrical safety control system, the system comprising a monitoring terminal;
the monitoring terminal is used for collecting real-time electric signals of the monitored AC220V loop, generating real-time data, alarm event data and time period data according to the calculation of the real-time electric signals, wherein the real-time electric signals comprise load current, load voltage and residual current signals,
the monitoring terminal comprises a transformer group, an edge calculation module, an audible and visual alarm module and a cloud communication module, wherein the transformer group, the audible and visual alarm module and the cloud communication module are respectively connected with the edge calculation module, the edge calculation module outputs corresponding alarm instructions through the audible and visual alarm module, the cloud communication module is used for receiving the real-time data, the alarm event data and the time period data, transmitting and receiving the instructions issued by the cloud server to the edge calculation module,
the transformer group comprises a load voltage transformer group, a load current transformer group and a residual current transformer, the transformer group is used for collecting the real-time electric signals,
the edge calculation module comprises a signal conditioning circuit and a chip with an electric energy metering function, the signal conditioning circuit and the chip are connected with each other, the signal conditioning circuit is used for filtering and adjusting the real-time electric signal and inputting the real-time electric signal into the chip,
The chip processes the real-time electric signal to obtain real-time data, and specifically comprises the following steps:
the chip is used for sampling the real-time data and calculating the effective value of a sliding window, the sliding scale of the sliding window is a preset time period, the chip continuously calculates the real-time electric signal to obtain the real-time data, meanwhile, the real-time data is judged every other the sliding scale according to a preset threshold value group, the alarm event data is generated in real time, the alarm event comprises the overvoltage, the undervoltage, the overcurrent and the electric leakage of the loop, and the corresponding real-time alarm instruction is output to the audible and visual alarm module according to the type of the alarm event,
the real-time data comprises a full-wave load voltage, a fundamental load voltage U, a full-wave load current, a fundamental load current I and a full-wave residual current I 0 Fundamental wave residual current I s The U and I s Absolute value of the phase angle difference cosine of (2)
The chip comprises a module for calculating single-phase active power, generating fundamental active power, and combining with the U, I s Generating the said
Re-combining the I 0 、I s For classifying the leakage alarm event,
the chip is also used for sampling the real-time electric signal and calculating the time integral of a jump window, the window width of the jump window is a preset time period, the chip calculates the real-time electric signal every other window width of the jump window to obtain real-time data, the time period data comprises fundamental wave residual active electric energy, and the fundamental wave residual active electric energy is used for measuring the real electric fire risk of the loop in the window width of the jump window;
The step of classifying the leakage alarm event specifically comprises the following steps:
when the full wave residual current I 0 When the residual current is larger than the full-wave residual current threshold value, the leakage alarm event is a general leakage,
when the fundamental wave residual current I s Greater than the fundamental residual current threshold and
less than or equal to U and I s When the absolute value of the phase angle difference cosine of the phase angle is threshold, the leakage alarm event is capacitive leakage,
when the fundamental wave residual current I s Greater than the fundamental residual current threshold and
is larger than the U and I s The leakage alarm event is a resistive leakage when the absolute value of the phase angle difference cosine of (a) is threshold.
8. The AC220V loop electrical safety control system of claim 7 wherein said fundamental residual active electrical energy is
The integral over the window width of the jump window is denoted +.>
The electric leakage alarm event is specifically classified as follows: comparing the fundamental wave residual active power with a preset fundamental wave residual active power threshold value, and judging that the loop has real electric fire risk in the window width of the jump window when the fundamental wave residual active power is higher than the preset fundamental wave residual active power threshold value;
the time interval data also comprises the time integral of the active insulated conductance of the fundamental wave in the window width of the jump window, which is recorded as 
For measuring the true insulation of the loop within the window width of the jump window,
the time period data also comprises fundamental wave demand in the window width of the jump window, which is recorded as
The method is used for judging the position of the occurrence of the leakage alarm event, the real fire risk abnormality or the real insulation condition abnormality. />
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