CN114167158A - Intelligent identification method and system for electrical potential safety hazards of common electrical appliances - Google Patents
Intelligent identification method and system for electrical potential safety hazards of common electrical appliances Download PDFInfo
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Abstract
The invention discloses a method and a system for intelligently identifying electrical safety hidden troubles of common electrical appliancesSAnd total harmonic residual current IS(ii) a Monitoring terminal at each moment TNCalculation P, PSAnd ISChecking and judging whether the electrical safety hidden danger exists in the tested power line; the cloud server automatically adjusts the detection preset value P every day according to the ratio of the total A of the single-day alarm information to the total B of the online monitoring pointsSET、PSSET、ISSET. According to the method and the system for intelligently identifying the electrical potential safety hazards of the common electrical appliances, the intelligent identification function of the electrical potential safety hazards of the common electrical appliances is realized on the basis of low-calculation and low-storage-capacity monitoring terminal hardware, and the intelligent identification function of the electrical potential safety hazards of the common electrical appliances is reducedThe construction cost of the intelligent sensor network 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 dangers of common electrical appliances.
Background
The technical scheme applies a deep learning algorithm, so that the scheme needs to be completely deployed in a cloud hardware environment with strong calculation and storage capacities but cannot be deployed under the condition of edge side hardware with poor calculation and storage capacities, and on one hand, the technical scheme has high construction cost and can only be applied to limited scenes with high added values of medical instruments and the like; 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 delayed for a long time and cannot be applied to scenes with high time sensitivity requirements.
Disclosure of Invention
The invention provides a method and a system for intelligently identifying electrical safety hidden dangers of common electrical appliances, which are more suitable for a distributed computing architecture, in order to make up for market gaps.
The invention aims to provide a method and a system for intelligently identifying electrical safety hidden dangers of common electrical appliances, and aims to solve the problem that the prior technical scheme provided in the background technology is difficult to deploy on hardware with low computing power and low storage capacity and cannot be suitable for millisecond time sensitivity requirement scenes.
In order to achieve the purpose, the invention provides the following technical scheme: an intelligent identification method and system for electrical safety hidden dangers of common electrical appliances comprise the following steps:
s1, the monitoring terminal monitors the load current, the load voltage and the residual current of the tested power line in real time, and calculates the load active power P and the active residual power P based on the monitoring dataSAnd total harmonic residual current ISMeanwhile, real-time monitoring data are sent to a cloud server through a communication terminal;
s2, setting time TNAnd time TN+110 milliseconds apart, the monitoring terminal at each time TNCalculation P, PSAnd ISComparing and checking the data with the data before t moments, wherein t is a preset value, judging whether electrical safety hidden dangers exist in electrical appliances in the tested power line according to a checking result, and if yes, sending corresponding warning information to a cloud server through a communication terminal;
s3, the cloud server receives the real-time monitoring data and the warning information, analyzes and processes the real-time monitoring data and the warning information, and issues corresponding potential safety hazard information to the display terminal;
s4, the cloud server automatically adjusts the inspection preset value P by adopting an annealing algorithm according to the ratio of the total A of the single-day alarm information to the total B of the online monitoring points every daySET、PSSET、ISSETSo as to adapt to the tested electric circuit.
Further, in step S1, inputting the load current and the load voltage into an electric energy metering chip, and obtaining load active power P in corresponding output;
inputting the residual current into an electric energy metering chip as a load current and a corresponding load voltage, and obtaining active residual power P at an output position where the active power of the load is originally obtainedS；
After the residual current is taken as the load current and input into the electric energy metering chip, the total harmonic residual current I can be obtained at the output position where the total harmonic load current is originally obtainedS。
Further, the model of the electric energy metering chip is ATT 7022E.
Further, the calculation data verification judgment process in step S2 includes the steps of:
s21, time TXThe active power of the lower load is PXTime TX-tThe active power of the lower load is PX-tBy PXAnd PX-tDifference of (2) and preset value PSETIn contrast, if the difference is greater than the predetermined value PSETThen the monitor terminal makes the count function phi1Adding 1, if the difference is less than or equal to the preset value PSETThen the monitor terminal makes the count function phi1Clearing; when counting function phi1When t is greater than t, the monitoring terminal makes the judgment function delta1Is 1 when the count function phi1When t is less than or equal to t, the monitoring terminal makes the judgment function delta1Is 0;
s22, time TYThe lower active residual power is PSYTime TY-tThe active power of the lower load is PY-tBy PYAnd PY-tDifference of (2) and preset value PSSETIn contrast, if the difference is greater than the predetermined value PSSETThen the monitor terminal makes the count function phi2Adding 1, if the difference is less than or equal to the preset value PSSETThen the monitor terminal makes the count function phi2Clearing; when counting function phi2When t is greater than t, the monitoring terminal makes the judgment function delta2Is 1, every time the counting function phi2When t is less than or equal to t, the monitoring terminal makes the judgment function delta2Is 0;
s23, time TZThe lower total harmonic residual current is ISZTime TZThe lower total harmonic residual current is ISZ-tBy use of ISZAnd ISZ-tDifference of (1) and preset value ISSETIn contrast, if the difference is greater than the preset value ISSETThen the monitor terminal makes the count function phi3Adding 1, if the difference is less than or equal to the preset value ISSETThen the monitor terminal makes the count function phi3Clearing; function of count per time phi3When t is greater than t, the monitoring terminal makes the judgment function delta3Is 1, every time the counting function phi3When t is less than or equal to t, the monitoring terminal makes the judgment function delta3Is 0;
s24, time TMChecking and judging function delta-delta1+Δ2+Δ3When Δ isM3 and ΔM-1And not equal to 3, the monitoring terminal judges that some common electrical appliance which is just started in the monitored line has electrical potential safety hazard, and sends corresponding warning information to the cloud server through the communication terminal.
Further, the preset value t is factory set to 20, and the preset value P is setSETFactory setting is 200W, preset value PSSETFactory setting is 6.6W, preset value ISSETFactory setting is 10 mA.
Further, the step of automatically adjusting the preset checking value in step S4 includes the following steps:
s41, the cloud server starts to count the total number A of the previous-day alarm information of all monitoring points of each project and the total number B of the online monitoring points at 0 day, and the ratio Q of each project A/B is calculated;
s42, the cloud server starts to calculate the average value Q' of all the projects Q at 1 day;
s43, the cloud server starts to automatically perform the operation according to the sizes of Q and Q' at the moment of 2 daysAdjusting PSET、PSSET、ISSETIf Q 'of a certain project is larger than Q', the cloud server issues instructions to all monitoring terminals of the project through the communication terminals, and P is sentSET、PSSET、ISSETAdjusting upwards; if Q of a certain item is less than or equal to Q', P is addedSET、PSSET、ISSET(iii) Down-Regulation.
Further, P in step S21X-PX-tThe E belongs to U, the U is the interval of the active power of a certain common electrical appliance in normal operation, and the monitoring terminal enables the counting function phi0Plus 1, if
The monitoring terminal will count the function phi0Clearing; when counting function phi0And when the t is larger than t, the monitoring terminal judges that some common electric appliance possibly starts in the monitored line and immediately sends corresponding information to the cloud server through the communication terminal.
The utility model provides a common electrical safety hidden danger intelligent recognition system with electrical apparatus, includes:
the monitoring terminal is used for acquiring real-time monitoring data of the tested power line, generating an alarm event according to the monitoring data and an algorithm, and uploading the real-time monitoring data and the 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 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 identification method for the electrical safety hidden danger of the common electrical appliances mainly aims at the electrical safety hidden danger of a switch mode power supply, most of the common electrical appliances are provided with switch power supply modules, the electrical safety hidden danger of the common electrical appliances is mainly reflected as abnormal rise of residual current and harmonic current, and reasonable judgment can be made by combining power characteristics.
The factory setting value in the intelligent identification method for the electrical safety hidden danger of the common electrical appliance is set according to relevant threshold requirements in electrical safety monitoring national standards and technical practical experience.
Compared with the prior art, the invention has the beneficial effects that: the method and the system for intelligently identifying the electrical safety hidden troubles of the common electrical appliances realize the intelligent identification function of the electrical safety hidden troubles of the common electrical appliances on the basis of low-computation 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 management work in national social management work.
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FIG. 1 is a flow diagram of a method for intelligently identifying electrical safety hazards of common electrical appliances according to the present invention;
fig. 2 is a schematic structural diagram of an intelligent identification system for electrical safety hazards of common electrical appliances.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first embodiment is as follows: referring to fig. 1-2, the present invention provides a technical solution: an intelligent identification method for electrical safety hidden dangers of common electrical appliances comprises the following steps:
s1, the monitoring terminal monitors the load current, the load voltage and the residual current of the tested power line in real time, and calculates the load active power P and the active residual power P based on the monitoring dataSAnd total harmonic residual current IS，Meanwhile, real-time monitoring data are sent to a cloud server through a communication terminal;
s2, setting time TNAnd time TN+110 milliseconds apart, the monitoring terminal at each time TNCalculation P, PSAnd ISComparing and checking the data with the data before 20 moments, judging whether electrical safety hidden dangers exist in electrical appliances in the tested power line according to a checking result, and if the electrical safety hidden dangers exist, sending corresponding warning information to a cloud server through a communication terminal;
s3, the cloud server receives the real-time monitoring data and the warning information, analyzes and processes the real-time monitoring data and the warning information, and issues corresponding potential safety hazard information to the display terminal;
s4, the cloud server automatically adjusts the inspection preset value P by adopting an annealing algorithm according to the ratio of the total A of the single-day alarm information to the total B of the online monitoring points every daySET、PSSET、ISSETSo as to adapt to the tested electric circuit.
When the common electrical appliance electrical safety hidden danger intelligent identification method is used, the monitoring terminal monitors the load current, the load voltage and the residual current of the monitored electrical line in real time at the sampling frequency of not less than 10000 times per second, and calculates the load active power P and the active residual power P at the frequency of 100 times per second based on the monitoring dataSTotal harmonic residual current ISAnd sending P, P to the cloud server through the communication terminal every 3 minutesS、ISData was monitored in real time, once every 10 milliseconds P, PS、ISAnd subtracting the calculated value at the previous 20 intervals from the calculated value at the moment to obtain a corresponding difference value, comparing the difference value with a corresponding preset value, if the difference value is greater than the preset value, adding 1 to the corresponding counting function, otherwise, resetting the corresponding counting function, only if the counting function is greater than 20, the corresponding judging function is 1, otherwise, the corresponding judging function is 0, adding 3 to the three judging functions at the same moment, and if the adding of the three judging functions at the previous moment is not equal to 3, representing that electrical safety hidden dangers exist in the electric appliance in the tested power line, generating alarm information by the monitoring terminal and uploading the alarm information to a cloud server by using a communication terminal, and receiving and processing the monitoring data and the alarm information by the cloud server and issuing the alarm information on the display terminal.
The second embodiment is as follows: in step S1, the load current and the load voltage are input to the electric energy metering chip, and the load active power P can be obtained at the corresponding output;
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 can be obtained at an output position where the active power of the load is originally obtainedS；
After the residual current is taken as the load current and input into the electric energy metering chip, the total harmonic residual current I can be obtained at the output position where the total harmonic load current is originally obtainedS。
The third concrete implementation mode: in this embodiment, the model number of the electric energy metering chip is ATT 7022E.
The fourth concrete implementation mode: in this embodiment, as a further limitation of the first embodiment, the calculation data checking and determining process in step S2 includes the following steps:
s21, time TXThe active power of the lower load is PXTime TX-20The active power of the lower load is PX-20By PXAnd PX-20Difference of (2) and preset value PSETIn contrast, if the difference is greater than the predetermined value PSETThen the monitor terminal makes the count function phi1Adding 1, if the difference is less than or equal to the preset value PSETThen the monitor terminal makes the count function phi1Clearing; when counting function phi1When the value is more than 20, the monitoring terminal enables the judgment function delta1Is 1 when the count function phi1When the value is less than or equal to 20, the monitoring terminal makes the judgment function delta1Is 0;
s22, time TYThe lower active residual power is PSYTime TY-20The active power of the lower load is PY-20By PYAnd PY-20Difference of (2) and preset value PSSETIn contrast, if the difference is greater than the predetermined value PSSETThen the monitor terminal makes the count function phi2Adding 1, if the difference is less than or equal to the preset value PSSETThen the monitor terminal makes the count function phi2Clearing; when counting function phi2When the value is more than 20, the monitoring terminal enables the judgment function delta2Is 1, every time the counting function phi2When the value is less than or equal to 20, the monitoring terminal makes the judgment function delta2Is 0;
s23, time TZThe lower total harmonic residual current is ISZTime TZThe lower total harmonic residual current is ISZ-20By use of ISZAnd ISZ-20Difference of (1) and preset value ISSETIn contrast, if the difference is greater than the preset value ISSETThen the monitor terminal makes the count function phi3Adding 1, if the difference is less than or equal to the preset value ISSETThen the monitor terminal makes the count function phi3Clearing; function of count per time phi3When the value is more than 20, the monitoring terminal enables the judgment function delta3Is 1, every time the counting function phi3When the value is less than or equal to 20, the monitoring terminal makes the judgment function delta3Is 0;
s24, time TMChecking and judging function delta-delta1+Δ2+Δ3When Δ isM3 and ΔM-1And not equal to 3, the monitoring terminal judges that some common electrical appliance which is just started in the monitored line has electrical potential safety hazard, and sends corresponding warning information to the cloud server through the communication terminal.
Time T of the above stepXTime TYTime TZTime TMOnly for differential representation, the actual tests are carried out at the same time.
The fifth concrete implementation mode: the fourth specific embodiment is further defined in the present application, wherein the preset value PSETFactory setting is 200W, preset value PSSETFactory setting is 6.6W, preset value ISSETFactory setting is 10mA, PSSETAnd ISSETThe factory setting value is obtained by converting the leakage and harmonic alarm threshold values according to national standard, PSETIs based on practical experience.
The sixth specific implementation mode: the embodiment is further limited to the first specific embodiment, and the automatically adjusting the preset checking value in step S4 includes the following steps:
s41, the cloud server starts to count the total number A of the previous-day alarm information of all monitoring points of each project and the total number B of the online monitoring points at 0 day, and the ratio Q of each project A/B is calculated;
s42, the cloud server starts to calculate the average value Q' of all the projects Q at 1 day;
s43, the cloud server starts to automatically adjust P according to the sizes of Q and Q' at 2 daysSET、PSSET、ISSETIf Q 'of a certain project is larger than Q', the cloud server issues instructions to all monitoring terminals of the project through the communication terminals, and P is sentSET、PSSET、ISSETAdjusting upwards; if Q of a certain item is less than or equal to Q', P is addedSET、PSSET、ISSETAnd (4) down-regulation, wherein the random up-regulation range is 5-10%, the fixed down-regulation is 5%, and the related parameters of the algorithm can be intelligently and automatically regulated without manual setting.
The seventh embodiment: this embodiment is a further limitation of the fourth embodiment, and P in step S21X-PX-20The E belongs to U, the U is the interval of the active power of a certain common electrical appliance in normal operation, and the monitoring terminal enables the counting function phi0Plus 1, if
The monitoring terminal will count the function phi0Clearing; when counting function phi0When the current value is more than 20, the monitoring terminal judges that some common electric appliances possibly start in the monitored circuit, and immediately sends corresponding information to the cloud server through the communication terminal, so that the starting effect of the common electric appliances in the monitoring circuit is realized.
The specific implementation mode is eight: referring to fig. 1, an intelligent identification system for electrical safety hazards of common electrical appliances includes:
the monitoring terminal is a hardware mechanism which has an electrical comprehensive monitoring function, can generate an alarm event according to a preset algorithm and real-time monitoring data, and can upload 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 the communication terminal refers to a hardware mechanism which uploads real-time monitoring data and alarm event information provided by the monitoring terminal to the cloud server in various wired and wireless communication modes and issues a command sent by the cloud server to the monitoring terminal;
the cloud server is a hardware structure which is deployed with cloud platform software and 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 which can be used for displaying the page, such as a mobile phone, a tablet, a notebook, a desktop or a special terminal.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. An intelligent identification method for electrical safety hidden dangers of common electrical appliances is characterized by comprising the following steps:
s1, the monitoring terminal monitors the load current, the load voltage and the residual current of the tested power line in real time, and calculates the load active power P and the active residual power P based on the monitoring dataSAnd total harmonic residual current ISMeanwhile, real-time monitoring data are sent to a cloud server through a communication terminal;
s2, setting time TNAnd time TN+110 milliseconds apart, the monitoring terminal at each time TNCalculation P, PSAnd ISAnd comparing and checking the data with the data before t moments, wherein t is a preset value, judging whether electrical safety hidden dangers exist in electrical appliances in the tested power line according to a checking result, and if yes, sending the electrical safety hidden dangers to a cloud server through a communication terminalSending out corresponding alarm information;
s3, the cloud server receives the real-time monitoring data and the warning information, analyzes and processes the real-time monitoring data and the warning information, and issues corresponding potential safety hazard information to the display terminal;
s4, the cloud server automatically adjusts the inspection preset value P by adopting an annealing algorithm according to the ratio of the total A of the single-day alarm information to the total B of the online monitoring points every daySET、PSSET、ISSETSo as to adapt to the tested electric circuit.
2. The intelligent identification method for the electrical safety hidden danger of the common electrical equipment according to claim 1, characterized in that: inputting the load current and the load voltage into an electric energy metering chip in step S1, and obtaining load active power P in corresponding output;
inputting the residual current into an electric energy metering chip as a load current and a corresponding load voltage, and obtaining active residual power P at an output position where the active power of the load is originally obtainedS；
After the residual current is taken as the load current and input into the electric energy metering chip, the total harmonic residual current I can be obtained at the output position where the total harmonic load current is originally obtainedS。
3. The intelligent identification method for the electrical safety hidden danger of the common electrical equipment, according to claim 2, is characterized in that: the model of the electric energy metering chip is ATT 7022E.
4. The method for intelligently identifying the electrical safety hidden danger of the common electrical equipment according to claim 1, wherein the calculation data checking and judging process in the step S2 comprises the following steps:
s21, time TXThe active power of the lower load is PXTime TX-tThe active power of the lower load is PX-tBy PXAnd PX-tDifference of (2) and preset value PSETIn contrast, if the difference is greater than the predetermined value PSETThen the monitor terminal makes the count function phi1Adding 1, if the difference is less than or equal to the preset value PSETThen the monitor terminal makes the count function phi1Clearing; when counting function phi1When t is greater than t, the monitoring terminal makes the judgment function delta1Is 1 when the count function phi1When t is less than or equal to t, the monitoring terminal makes the judgment function delta1Is 0;
s22, time TYThe lower active residual power is PSYTime TY-tThe active power of the lower load is PY-tBy PYAnd PY-tDifference of (2) and preset value PSSETIn contrast, if the difference is greater than the predetermined value PSSETThen the monitor terminal makes the count function phi2Adding 1, if the difference is less than or equal to the preset value PSSETThen the monitor terminal makes the count function phi2Clearing; when counting function phi2When t is greater than t, the monitoring terminal makes the judgment function delta2Is 1, every time the counting function phi2When t is less than or equal to t, the monitoring terminal makes the judgment function delta2Is 0;
s23, time TZThe lower total harmonic residual current is ISZTime TZThe lower total harmonic residual current is ISZ-tBy use of ISZAnd ISZ-tDifference of (1) and preset value ISSETIn contrast, if the difference is greater than the preset value ISSETThen the monitor terminal makes the count function phi3Adding 1, if the difference is less than or equal to the preset value ISSETThen the monitor terminal makes the count function phi3Clearing; function of count per time phi3When t is greater than t, the monitoring terminal makes the judgment function delta3Is 1, every time the counting function phi3When t is less than or equal to t, the monitoring terminal makes the judgment function delta3Is 0;
s24, time TMChecking and judging function delta-delta1+Δ2+Δ3When Δ isM3 and ΔM-1And not equal to 3, the monitoring terminal judges that some common electrical appliance which is just started in the monitored line has electrical potential safety hazard, and sends corresponding warning information to the cloud server through the communication terminal.
5. The intelligent identification of electrical safety hazards of common electrical appliances according to claim 4The method is characterized in that: the preset value t is factory set to be 20 and preset value PSETFactory setting is 200W, preset value PSSETFactory setting is 6.6W, preset value ISSETFactory setting is 10 mA.
6. The intelligent identification method for the electrical safety hidden dangers of the common electrical appliances according to claim 1, wherein the step of automatically adjusting the inspection preset values in the step S4 comprises the following steps:
s41, the cloud server starts to count the total number A of the previous-day alarm information of all monitoring points of each project and the total number B of the online monitoring points at 0 day, and the ratio Q of each project A/B is calculated;
s42, the cloud server starts to calculate the average value Q' of all the projects Q at 1 day;
s43, the cloud server starts to automatically adjust P according to the sizes of Q and Q' at 2 daysSET、PSSET、ISSETIf Q 'of a certain project is larger than Q', the cloud server issues instructions to all monitoring terminals of the project through the communication terminals, and P is sentSET、PSSET、ISSETAdjusting upwards; if Q of a certain item is less than or equal to Q', P is addedSET、PSSET、ISSET(iii) Down-Regulation.
7. The intelligent identification method for the electrical safety hidden dangers of the common electrical appliances, according to claim 4, is characterized in that: p in step S21X-PX-tThe E belongs to U, the U is the interval of the active power of a certain common electrical appliance in normal operation, and the monitoring terminal enables the counting function phi0Plus 1, if
The monitoring terminal will count the function phi0Clearing; when counting function phi0And when the t is larger than t, the monitoring terminal judges that some common electric appliance possibly starts in the monitored line and immediately sends corresponding information to the cloud server through the communication terminal.
8. The utility model provides a commonly use electrical safety hidden danger intelligent recognition system with electrical apparatus which characterized in that includes:
the monitoring terminal is used for acquiring real-time monitoring data of the tested power line, generating an alarm event according to the monitoring data and an algorithm, and uploading the real-time monitoring data and the 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 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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