CN114167158B - Intelligent recognition method and system for electrical potential safety hazards of common electrical appliances - Google Patents
Intelligent recognition method and system for electrical potential safety hazards of common electrical appliances Download PDFInfo
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- G—PHYSICS
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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- G—PHYSICS
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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Abstract
The invention discloses an intelligent identification method and system for electrical safety hidden trouble of a common electrical appliance, comprising the steps that a monitoring terminal monitors a tested electrical circuit in real time, and calculates load active power P, active residual power P S and total harmonic residual current I S based on monitoring data; the monitoring terminal calculates P, P S and I S at each moment T N and checks the calculated P, P S and I S to judge whether the electric potential safety hazard exists in the tested electric line; the cloud server automatically adjusts the detection preset value P SET、PSSET、ISSET according to the ratio of the total number A of the single-day alarm information to the total number B of the online monitoring points every day. According to the intelligent identification method and system for the electrical potential safety hazards of the common electrical appliances, the intelligent identification function of the electrical potential hazards of the common electrical appliances is realized on the basis of the hardware of the monitoring terminal with low calculation and low storage capacity, the construction cost of the intelligent sensor network with the intelligent identification function of the electrical potential hazards of the common electrical appliances is reduced, and meanwhile, the applicability of the sensor network is improved.
Description
Technical Field
The invention relates to the technical field related to electrical safety monitoring, in particular to an intelligent identification method and system for electrical safety hidden danger of a common electrical appliance.
Background
An existing common electrical appliance electrical potential safety hazard intelligent identification technology, for example, a Chinese patent with a bulletin number of CN111060838A relates to a medical electronic equipment switching power supply fault diagnosis method based on multi-dimensional feature fusion, and the technical scheme adopts a deep learning algorithm, so that the scheme is required to be completely deployed in a cloud hardware environment with high computing and storage capacity and cannot be deployed under the edge hardware condition with poor computing and storage capacity, and the technical scheme has high construction cost and can only be applied to limited scenes with high added value such as medical instruments; on the other hand, if the technical scheme is applied to a sensor network of an Internet of things architecture, the intelligent diagnosis function is long in delay and cannot be applied to a scene with high time sensitivity requirements.
Disclosure of Invention
The invention provides an intelligent identification method and system for electrical potential safety hazards of common electrical appliances, which are more suitable for a distributed computing architecture, in order to make up market blanks.
The invention aims to provide an intelligent recognition method and system for electrical potential safety hazards of common electrical appliances, and aims to solve the problems that the prior art scheme provided in the background art is difficult to deploy on hardware with low calculation power and low storage capacity and cannot be suitable for millisecond-level time sensitivity requirement scenes.
In order to achieve the above purpose, the present invention provides the following technical solutions: an intelligent recognition method and system for electrical potential safety hazards of common electrical appliances comprises the following steps:
S1, a monitoring terminal monitors load current, load voltage and residual current of a tested electric line in real time, calculates load power P, active residual power P S and total harmonic residual current I S based on the monitoring data, and simultaneously sends real-time monitoring data to a cloud server through a communication terminal;
S2, setting a time T N and a time T N+1 to be 10 milliseconds apart, calculating P, P S and I S at each time T N by the monitoring terminal, comparing and checking with data before T times, wherein T is a preset value, judging whether electrical safety hazards exist in the electrical appliances in the tested electrical circuit according to a checking result, and sending corresponding alarm information to a cloud server through the communication terminal if the electrical safety hazards exist;
S3, the cloud server receives the real-time monitoring data and the alarm information to analyze and process, and issues corresponding potential safety hazard information to the display terminal;
and S4, the cloud server automatically adjusts and tests the preset value P SET、PSSET、ISSET by adopting an annealing algorithm according to the ratio of the total number A of the single-day alarm information to the total number B of the online monitoring points every day so as to adapt to the tested electric line.
Further, in step S1, the load current and the load voltage are input into an electric energy metering chip, and the load active power P can be obtained from the corresponding output;
The residual current is used as a load current and a corresponding load voltage to be input into an electric energy metering chip, and active residual power P S can be obtained at an output position where the load active power is originally obtained;
After the residual current is used as the load current to be input into the electric energy metering chip, the total harmonic residual current I S can be obtained at the output position where the total harmonic load current is originally obtained.
Further, the type of the electric energy metering chip is ATT7022E.
Further, the calculation data checking and judging process in step S2 includes the following steps:
S21, the active power of the load at the moment T X is P X, the active power of the load at the moment T X-t is P X-t, the difference between P X and P X-t is compared with a preset value P SET, if the difference is larger than the preset value P SET, the monitoring terminal adds 1 to the counting function phi 1, and if the difference is smaller than or equal to the preset value P SET, the monitoring terminal clears the counting function phi 1; when the counting function phi 1 is larger than t, the monitoring terminal enables the judging function delta 1 to be 1, and when the counting function phi 1 is smaller than or equal to t, the monitoring terminal enables the judging function delta 1 to be 0;
S22, the active residual power at the moment T Y is P SY, the load active power at the moment T Y-t is P Y-t, the difference between P Y and P Y-t is compared with a preset value P SSET, if the difference is larger than the preset value P SSET, the monitoring terminal adds 1 to the counting function phi 2, and if the difference is smaller than or equal to the preset value P SSET, the monitoring terminal clears the counting function phi 2; when the counting function phi 2 is larger than t, the monitoring terminal enables the judging function delta 2 to be 1, and when the counting function phi 2 is smaller than or equal to t, the monitoring terminal enables the judging function delta 2 to be 0;
S23, the total harmonic residual current at the moment T Z is I SZ, the total harmonic residual current at the moment T Z-t is I SZ-t, the difference between I SZ and I SZ-t is compared with a preset value I SSET, if the difference is larger than the preset value I SSET, the monitoring terminal adds 1 to the counting function phi 3, and if the difference is smaller than or equal to the preset value I SSET, the monitoring terminal clears the counting function phi 3; the monitoring terminal makes the judgment function delta 3 be 1 every time the counting function phi 3 is larger than t, and makes the judgment function delta 3 be 0 every time the counting function phi 3 is smaller than or equal to t;
and S24, checking a judging function delta=delta 1+Δ2+Δ3 at a time T M, and when delta M =3 and delta M-1 is not equal to 3, judging that the electrical safety hidden trouble exists in a certain common electrical appliance just started in the monitored line by the monitoring terminal, and sending corresponding alarm information to the cloud server through the communication terminal.
Further, the preset value t is set to 20, the preset value P SET is set to 200W, the preset value P SSET is set to 6.6W, and the preset value I SSET is set to 10mA.
Further, the step S4 of automatically adjusting the preset check value includes the following steps:
s41, counting the total number A of previous day alarm information and the total number B of online monitoring points of all monitoring points of each project at the time of 0 day by the cloud server, and solving the ratio Q of each project A/B;
S42, the cloud server starts to calculate an average value Q' of all the projects Q every day 1;
S43, automatically adjusting P SET、PSSET、ISSET according to the Q and Q 'when the cloud server starts to perform 2 days, and if the Q of a certain item is larger than Q', the cloud server issues instructions to all monitoring terminals of the item through the communication terminal, and then P SET、PSSET、ISSET is adjusted upwards; if Q of an item is less than or equal to Q', P SET、PSSET、ISSET is down-regulated.
Further, in step S21, P X-PX-t e U, U is the interval where the active power of a common electrical appliance is located when the electrical appliance works normally, the monitoring terminal increases the counting function Φ 0 by 1, if The monitoring terminal clears the counting function phi 0; when the counting function phi 0 is larger than t, the monitoring terminal judges that some common electrical appliances possibly exist in the monitored line to start, and corresponding information is sent to the cloud server through the communication terminal.
An intelligent recognition system for electrical potential safety hazards of common electrical appliances, comprising:
The monitoring terminal is used for collecting real-time monitoring data of the tested electric wire, generating an alarm event according to the monitoring data and an algorithm, and uploading the real-time monitoring data and alarm event information to the cloud server through the communication terminal;
the communication terminal is used for monitoring information interaction between the terminal and the cloud server;
The cloud server receives the real-time monitoring data and the alarm event information and processes the real-time monitoring data and the alarm event information;
and the display terminal is used for displaying the page of the alarm event information.
The intelligent recognition method of the electrical potential safety hazards of the common electrical appliances is mainly aimed at the electrical potential hazards of the switch mode power supply, most of the common electrical appliances are provided with switch power supply modules, the electrical potential hazards are mainly represented by abnormal rising of residual current and harmonic current, and reasonable judgment can be made by combining power characteristics.
The setting of the factory setting value in the intelligent identification method of the electrical potential safety hazard of the common electrical appliance is based on the related threshold requirements in the national standard of electrical safety monitoring and technical practice experience.
Compared with the prior art, the invention has the beneficial effects that: the intelligent recognition method and the intelligent recognition system for the electrical potential hazards of the common electrical appliances realize the intelligent recognition function of the electrical potential hazards of the common electrical appliances on the basis of low-calculation and low-storage-capacity monitoring terminal hardware, reduce the construction cost of an intelligent sensor network with corresponding functions, increase applicable scenes and provide a new effective technical means for electrical safety control in the control work of the society of China.
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FIG. 1 is a flow chart of the intelligent identification method for electrical safety hazards of common electrical appliances;
fig. 2 is a schematic structural diagram of an intelligent recognition system for electrical safety hazards of common electrical appliances.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only 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.
The first embodiment is as follows: referring to fig. 1-2, the present invention provides a technical solution: an intelligent recognition method for electrical potential safety hazards of common electrical appliances comprises the following steps:
S1, a monitoring terminal monitors load current, load voltage and residual current of a tested electric line in real time, calculates load power P, active residual power P S and total harmonic residual current I S, based on the monitoring data, and simultaneously sends real-time monitoring data to a cloud server through a communication terminal;
S2, setting a time T N and a time T N+1 to be 10 milliseconds apart, calculating P, P S and I S at each time T N by the monitoring terminal, comparing and checking with data before 20 times, judging whether electric appliances in the tested electric circuit have potential electrical safety hazards according to the checking result, and sending corresponding alarm information to the cloud server through the communication terminal if the potential electrical safety hazards exist;
S3, the cloud server receives the real-time monitoring data and the alarm information to analyze and process, and issues corresponding potential safety hazard information to the display terminal;
and S4, the cloud server automatically adjusts and tests the preset value P SET、PSSET、ISSET by adopting an annealing algorithm according to the ratio of the total number A of the single-day alarm information to the total number B of the online monitoring points every day so as to adapt to the tested electric line.
When the intelligent identification method for the electrical potential safety hazards of the common electrical appliances is used, a monitoring terminal monitors the load current, the load voltage and the residual current of the monitored electrical lines in real time with the sampling frequency of not less than 10000 times per second, calculates the load active power P, the active residual power P S and the total harmonic residual current I S with the frequency of 100 times per second based on the monitoring data, sends P, P S、IS real-time monitoring data to a cloud server every 3 minutes through the communication terminal, calculates P, P S、IS every 10 milliseconds, subtracts the calculated value at the moment from the calculated value at the first 20 intervals to obtain a corresponding difference value, clears the corresponding counting function by 1 if the difference value is larger than the corresponding preset value, clears the corresponding counting function if the difference value is larger than 20, and otherwise, adds the corresponding judging function to be 0 if the three judging functions at the same moment are not equal to 3, represents that the electrical potential safety hazards exist in the electrical lines to be tested, and sends the electrical potential safety hazards to the monitoring terminal to the communication terminal for displaying the service terminal and the alarm information on the communication terminal.
The second embodiment is as follows: the present embodiment is further limited by the first embodiment, in which in step S1, the load current and the load voltage are input into the electric energy metering chip, and the load active power P can be obtained from the corresponding output;
The residual current is used as load current and corresponding load voltage to be input into an electric energy metering chip, and active residual power P S can be obtained at an output position where the load active power is originally obtained;
After the residual current is used as the load current to be input into the electric energy metering chip, the total harmonic residual current I S can be obtained at the output position where the total harmonic load current is originally obtained.
And a third specific embodiment: this embodiment is further limited to the second embodiment, and the model of the electric energy metering chip is ATT7022E.
The specific embodiment IV is as follows: the present embodiment is further defined in the first embodiment, and the calculation data checking and judging process in step S2 includes the following steps:
S21, the active power of the load at the moment T X is P X, the active power of the load at the moment T X-20 is P X-20, the difference between P X and P X-20 is compared with a preset value P SET, if the difference is larger than the preset value P SET, the monitoring terminal adds 1 to the counting function phi 1, and if the difference is smaller than or equal to the preset value P SET, the monitoring terminal clears the counting function phi 1; when the counting function phi 1 is larger than 20, the monitoring terminal enables the judging function delta 1 to be 1, and when the counting function phi 1 is smaller than or equal to 20, the monitoring terminal enables the judging function delta 1 to be 0;
S22, the active residual power at the moment T Y is P SY, the load active power at the moment T Y-20 is P Y-20, the difference between P Y and P Y-20 is compared with a preset value P SSET, if the difference is larger than the preset value P SSET, the monitoring terminal adds 1 to the counting function phi 2, and if the difference is smaller than or equal to the preset value P SSET, the monitoring terminal clears the counting function phi 2; when the counting function phi 2 is larger than 20, the monitoring terminal enables the judging function delta 2 to be 1, and when the counting function phi 2 is smaller than or equal to 20, the monitoring terminal enables the judging function delta 2 to be 0;
S23, the total harmonic residual current at the moment T Z is I SZ, the total harmonic residual current at the moment T Z-20 is I SZ-20, the difference between I SZ and I SZ-20 is compared with a preset value I SSET, if the difference is larger than the preset value I SSET, the monitoring terminal adds 1 to the counting function phi 3, and if the difference is smaller than or equal to the preset value I SSET, the monitoring terminal clears the counting function phi 3; the monitoring terminal makes the judgment function delta 3 be 1 every time the counting function phi 3 is larger than 20, and makes the judgment function delta 3 be 0 every time the counting function phi 3 is smaller than or equal to 20;
and S24, checking a judging function delta=delta 1+Δ2+Δ3 at a time T M, and when delta M =3 and delta M-1 is not equal to 3, judging that the electrical safety hidden trouble exists in a certain common electrical appliance just started in the monitored line by the monitoring terminal, and sending corresponding alarm information to the cloud server through the communication terminal.
The above steps of time T X, time T Y, time T Z, and time T M are merely for distinguishing and indicating, and the actual test is performed at the same time.
Fifth embodiment: in this embodiment, as a further limitation of the fourth embodiment, the preset value P SET is set to 200W, the preset value P SSET is set to 6.6W, the preset value I SSET is set to 10ma, the basis of the factory setting values of P SSET and I SSET is conversion of the leakage and harmonic alarm threshold values by the national standard, and the setting basis of P SET is practical experience.
Specific embodiment six: the embodiment is further defined in the specific embodiment, and the automatically adjusting the preset check value in step S4 includes the following steps:
s41, counting the total number A of previous day alarm information and the total number B of online monitoring points of all monitoring points of each project at the time of 0 day by the cloud server, and solving the ratio Q of each project A/B;
S42, the cloud server starts to calculate an average value Q' of all the projects Q every day 1;
S43, automatically adjusting P SET、PSSET、ISSET according to the Q and Q 'when the cloud server starts to perform 2 days, and if the Q of a certain item is larger than Q', the cloud server issues instructions to all monitoring terminals of the item through the communication terminal, and then P SET、PSSET、ISSET is adjusted upwards; if the Q of a certain item is smaller than or equal to Q', P SET、PSSET、ISSET is adjusted downwards, the random up-adjustment range is 5% -10%, and the fixed down-adjustment range is 5%, so that the related parameters of the algorithm can be intelligently and automatically adjusted, and manual setting is not needed.
Seventh embodiment: in this embodiment, as a further limitation of the fourth embodiment, in the step S21, P X-PX-20 e U, U is the interval where the active power of a common electrical appliance is located when it is operating normally, the monitoring terminal adds 1 to the count function Φ 0, and ifThe monitoring terminal clears the counting function phi 0; when the counting function phi 0 is larger than 20, the monitoring terminal judges that some common electric appliances possibly exist in the monitored line to be started, corresponding information is sent to the cloud server through the communication terminal immediately, and the effect of starting the common electric appliances in the monitoring circuit is achieved.
Eighth embodiment: referring to fig. 1, an intelligent recognition system for electrical safety hazards of common electrical appliances includes:
The monitoring terminal is used for collecting real-time monitoring data of the tested electric wire, generating an alarm event according to the monitoring data and an algorithm, uploading the real-time monitoring data and alarm event information to the cloud server through the communication terminal, and is a hardware mechanism which has an electric comprehensive monitoring function, can generate an alarm event according to a preset algorithm and the real-time monitoring data, and uploads the real-time monitoring data and the alarm event information to the cloud server through the communication terminal;
the communication terminal is used for information interaction between the monitoring terminal and the cloud server, and refers to a hardware mechanism for uploading real-time monitoring data and alarm event information provided by the monitoring terminal to the cloud server through various wired and wireless communication modes and issuing a command to the monitoring terminal;
The cloud server is used for receiving and processing the real-time monitoring data and the alarm event information, and the cloud server refers to a hardware structure in which cloud platform software is deployed and is used for processing and visually displaying the real-time monitoring data and the alarm event information;
The display terminal is used for displaying the page of the alarm event information, and the display terminal refers to a hardware structure of a mobile phone, a tablet, a notebook, a desktop or a special terminal and the like which can display the page.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (6)
1. The intelligent recognition method for the electrical potential safety hazards of the common electrical appliances is characterized by comprising the following steps of:
S1, a monitoring terminal monitors load current, load voltage and residual current of a tested electric line in real time, calculates load power P, active residual power P S and total harmonic residual current I S based on the monitoring data, and simultaneously sends real-time monitoring data to a cloud server through a communication terminal;
S2, setting a time T N and a time T N+1 to be 10 milliseconds apart, calculating P, P S and I S at each time T N by the monitoring terminal, comparing and checking with data before T times, wherein T is a preset value, judging whether electrical safety hazards exist in the electrical appliances in the tested electrical circuit according to a checking result, and sending corresponding alarm information to a cloud server through the communication terminal if the electrical safety hazards exist;
The calculation data inspection judgment process in step S2 includes the steps of:
S21, the active power of the load at the moment T X is P X, the active power of the load at the moment T X-t is P X-t, the difference between P X and P X-t is compared with a preset value P SET, if the difference is larger than the preset value P SET, the monitoring terminal adds 1 to the counting function phi 1, and if the difference is smaller than or equal to the preset value P SET, the monitoring terminal clears the counting function phi 1; when the counting function phi 1 is larger than t, the monitoring terminal enables the judging function delta 1 to be 1, and when the counting function phi 1 is smaller than or equal to t, the monitoring terminal enables the judging function delta 1 to be 0;
S22, the active residual power at the moment T Y is P SY, the load active power at the moment T Y-t is P Y-t, the difference between P Y and P Y-t is compared with a preset value P SSET, if the difference is larger than the preset value P SSET, the monitoring terminal adds 1 to the counting function phi 2, and if the difference is smaller than or equal to the preset value P SSET, the monitoring terminal clears the counting function phi 2; when the counting function phi 2 is larger than t, the monitoring terminal enables the judging function delta 2 to be 1, and when the counting function phi 2 is smaller than or equal to t, the monitoring terminal enables the judging function delta 2 to be 0;
S23, the total harmonic residual current at the moment T Z is I SZ, the total harmonic residual current at the moment T Z-t is I SZ-t, the difference between I SZ and I SZ-t is compared with a preset value I SSET, if the difference is larger than the preset value I SSET, the monitoring terminal adds 1 to the counting function phi 3, and if the difference is smaller than or equal to the preset value I SSET, the monitoring terminal clears the counting function phi 3; the monitoring terminal makes the judgment function delta 3 be 1 every time the counting function phi 3 is larger than t, and makes the judgment function delta 3 be 0 every time the counting function phi 3 is smaller than or equal to t;
S24, checking a judging function delta=delta 1+Δ2+Δ3 at a time T M, and when delta M =3 and delta M-1 is not equal to 3, judging that electrical safety hazards exist in a certain common electrical appliance just started in a monitored line by a monitoring terminal, and sending corresponding alarm information to a cloud server through a communication terminal;
S3, the cloud server receives the real-time monitoring data and the alarm information to analyze and process, and issues corresponding potential safety hazard information to the display terminal;
S4, the cloud server automatically adjusts and tests a preset value P SET、PSSET、ISSET by adopting an annealing algorithm according to the ratio of the total number A of single-day alarm information to the total number B of online monitoring points every day so as to adapt to the tested electric line;
The step S4 of automatically adjusting the preset value comprises the following steps:
s41, counting the total number A of previous day alarm information and the total number B of online monitoring points of all monitoring points of each project at the time of 0 day by the cloud server, and solving the ratio Q of each project A/B;
S42, the cloud server starts to calculate an average value Q' of all the projects Q every day 1;
S43, automatically adjusting P SET、PSSET、ISSET according to the Q and Q 'when the cloud server starts to perform 2 days, and if the Q of a certain item is larger than Q', the cloud server issues instructions to all monitoring terminals of the item through the communication terminal, and then P SET、PSSET、ISSET is adjusted upwards; if Q of an item is less than or equal to Q', P SET、PSSET、ISSET is down-regulated.
2. The intelligent identification method for electrical potential safety hazards of common electrical appliances according to claim 1 is characterized by comprising the following steps: in step S1, the load current and the load voltage are input into an electric energy metering chip, and the load active power P can be obtained in the corresponding output;
The residual current is used as a load current and a corresponding load voltage to be input into an electric energy metering chip, and active residual power P S can be obtained at an output position where the load active power is originally obtained;
After the residual current is used as the load current to be input into the electric energy metering chip, the total harmonic residual current I S can be obtained at the output position where the total harmonic load current is originally obtained.
3. The intelligent identification method for electrical potential safety hazards of common electrical appliances according to claim 2 is characterized by comprising the following steps: the type of the electric energy metering chip is ATT7022E.
4. The intelligent identification method for electrical potential safety hazards of common electrical appliances according to claim 1 is characterized by comprising the following steps: the preset value t is set to 20 in a factory, the preset value P SET is set to 200W in a factory, the preset value P SSET is set to 6.6W in a factory, and the preset value I SSET is set to 10mA in a factory.
5. The intelligent identification method for electrical potential safety hazards of common electrical appliances according to claim 1 is characterized by comprising the following steps: in step S21, P X-PX-t epsilon U, U is the section where the active power of a common electrical appliance is located when the common electrical appliance works normally, the monitoring terminal adds 1 to the counting function phi 0, ifThe monitoring terminal clears the counting function phi 0; when the counting function phi 0 is larger than t, the monitoring terminal judges that some common electrical appliances possibly exist in the monitored line to start, and corresponding information is sent to the cloud server through the communication terminal.
6. A system generated by the intelligent identification method of electrical safety hazards of a common electrical appliance according to any one of claims 1-5, comprising:
the monitoring terminal is used for collecting real-time monitoring data of the tested electric wire, generating an alarm event according to the monitoring data and an algorithm, and uploading the real-time monitoring data and alarm event information to the cloud server through the communication terminal;
the communication terminal is used for monitoring information interaction between the terminal and the cloud server;
The cloud server receives the real-time monitoring data and the alarm event information and processes the real-time monitoring data and the alarm event information;
and the display terminal is used for displaying the page of the alarm event information.
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| CN111796205A (en) * | 2020-07-08 | 2020-10-20 | 安徽先兆科技有限公司 | AC220V loop electric safety control method and system |
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| FR2690573B1 (en) * | 1992-04-28 | 1997-05-09 | Merlin Gerin | DEVICE FOR CONTROLLING HOMOPOLAR FAULT IN AN ELECTRICAL DISTRIBUTION NETWORK. |
| FR2692086B1 (en) * | 1992-06-03 | 1995-10-06 | Electricite De France | METHOD AND DEVICE FOR SELECTIVE PROTECTION AGAINST EARTH FAULTS OF AN ELECTRICAL NETWORK. |
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