CN111308251A - Household electricity safety monitoring system based on big data - Google Patents

Household electricity safety monitoring system based on big data Download PDF

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Publication number
CN111308251A
CN111308251A CN202010214724.1A CN202010214724A CN111308251A CN 111308251 A CN111308251 A CN 111308251A CN 202010214724 A CN202010214724 A CN 202010214724A CN 111308251 A CN111308251 A CN 111308251A
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household
big data
safety
analysis platform
comprehensive analysis
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CN111308251B (en
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吴军伟
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Hangzhou Fengduo Intelligent Technology Co Ltd
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Hangzhou Fengduo Intelligent Technology Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18Status alarms
    • G08B21/182Level alarms, e.g. alarms responsive to variables exceeding a threshold
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B25/00Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
    • G08B25/01Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
    • G08B25/08Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • Emergency Management (AREA)
  • Alarm Systems (AREA)

Abstract

The invention discloses a household electricity safety monitoring system based on big data, which comprises an equipment safety hidden danger comprehensive analysis platform, a household electricity safety hidden danger comprehensive analysis platform, a real-time abnormal fault comprehensive analysis platform, an intelligent electricity safety socket and an intelligent electricity safety protector, wherein the equipment safety hidden danger comprehensive analysis platform comprehensively analyzes and processes the running working condition of household appliances, the running environment of the household appliances and the running working condition of the whole household appliances which are uploaded by the intelligent electricity safety socket and the intelligent electricity safety protector, and generates a life cycle big data table of the household appliances and a safety hidden danger level big data table of a household line by using the analyzed and processed data. And the safety hidden danger of the household power utilization and the real-time processing of abnormal faults are realized by combining an artificial intelligent analysis platform.

Description

Household electricity safety monitoring system based on big data
Technical Field
The invention relates to the technical field of Internet of things, in particular to a household electricity safety monitoring system based on big data.
Background
The internet of things is that any object or process needing monitoring, connection and interaction is collected in real time through various devices and technologies such as various information sensors, radio frequency identification technologies, global positioning systems, infrared sensors, laser scanners and the like, various required information such as sound, light, heat, electricity, mechanics, chemistry, biology, positions and the like is collected, ubiquitous connection of objects and objects, and ubiquitous connection of objects and people are realized through various possible network accesses, and intelligent sensing, identification and management of the objects and the processes are realized.
With the rapid development of society, the number of electrical appliances in households in each community is increasing, particularly in hot summer and cold winter, the time for people to use the refrigeration or heating electrical appliances is also increasing, the electric leakage phenomenon is easy to occur due to the overuse of circuits in rooms, and in hot summer, the fire disaster is easy to occur due to the use of various electrical appliances overloaded for a long time and the heating or large current generation of the circuits, so that the household is unsuspected. Therefore, the technical personnel in the field provide a household electricity safety monitoring system based on big data to solve the problems in the background art.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a household electricity safety monitoring system based on big data, thereby overcoming the defects of the prior art.
In order to solve the technical problems, the invention adopts the following technical scheme:
a household electricity safety monitoring system based on big data comprises an equipment potential safety hazard comprehensive analysis platform, a household electricity potential safety hazard comprehensive analysis platform, a real-time abnormal fault comprehensive analysis platform, an intelligent electricity safety socket and an intelligent electricity safety protector, wherein the equipment potential safety hazard comprehensive analysis platform comprehensively analyzes and processes the intelligent electricity safety socket and the running working conditions of household appliances, the running environment of the household appliances and the running working conditions of the whole household appliances uploaded by the intelligent electricity safety protector, generates a household appliance life cycle big data table and a household line potential safety hazard grade big data table according to the analyzed and processed data, uses the household appliance life cycle big data table and the household line potential safety hazard grade big data table according to the service life of the household appliances and the maintenance data of the household appliances, and a health state evaluation table, a safety feature evaluation table and a precautionary level evaluation table are generated regularly (monthly or weekly), the real-time abnormal fault comprehensive analysis platform comprehensively analyzes and processes abnormal fault information uploaded by the intelligent power utilization safety protection socket and the intelligent power utilization safety protector, the abnormal fault information is divided into household internal equipment or line faults and household external line problems according to abnormal fault conditions, and relevant information is pushed to operation and maintenance personnel and household owners in a distributed mode.
Furthermore, the equipment potential safety hazard comprehensive analysis platform comprises an intelligent power utilization safety socket, an intelligent power utilization safety protector, household electrical appliance safety operation indexes regulated based on national standards and a platform expert database, wherein the intelligent power utilization safety socket acquires the operation working conditions of the household electrical appliance at a long-term fixed position in real time without temporarily used electrical appliances, the operation working conditions of the household electrical appliance comprise parameters such as voltage, current, power factor, power consumption, leakage current, harmonic wave, ambient temperature and the like, the intelligent power utilization safety protector is installed in a household distribution box and acquires the operation working conditions of the household electrical appliances in a whole house in real time, wherein the operation working conditions comprise parameters such as voltage, current, power factor, power consumption, leakage current, harmonic wave, unbalance, demand, temperature and the like, and the operation working condition data are packaged and then are uploaded to the equipment potential safety hazard comprehensive analysis platform, after the analysis, the platform processing module analyzes and judges the transmitted operating condition data one by one according to the safety operating indexes of the household appliances specified by the national standard, and generates the platform expert database which comprises a life cycle big data table of the household appliances and a safety hidden danger level big data table of the household lines.
Further, the life cycle big data table of the household electrical appliance comprises fault trend data such as a temperature rise trend, a leakage trend, an aging trend, a line insulation degree trend and the like.
Further, the big data table of the household line potential safety hazard levels comprises four levels of early warning, alarming, warning and troubleshooting.
Further, the comprehensive analysis platform for the potential safety hazard of household power consumption is based on big data and artificial intelligence analysis technologies and by utilizing big data storage of life cycles of various types of household appliances, combined with big data summary information, processed, and periodically (monthly or weekly) generated into a health state evaluation table, a safety feature evaluation table and a precautionary level evaluation table, and related analysis results are uploaded to fire-fighting and government supervision departments.
Further, real-time unusual trouble integrated analysis platform includes intelligent power consumption security socket, intelligent power consumption safety protector, information propelling movement module, intelligence power consumption security socket monitoring object includes the domestic appliance equipment of long-term fixed position and the electrical equipment of interim use, intelligence power consumption security socket with the unusual fault information that intelligent power consumption safety protector uploaded, including overload, overflow, electric leakage, trouble electric arc, under-voltage, excessive pressure, disequilibrium.
Further, real-time unusual trouble integrated analysis platform divide into two situations of domestic internal device or line fault and domestic external line problem according to the unusual trouble condition, and domestic internal device or line fault condition pass through information push module gives fortune dimension personnel and the owner of family with phone voice, SMS, APP propelling movement mode respectively and handles, and domestic external line problem passes through information push module gives fortune dimension personnel with phone voice, SMS, APP propelling movement mode respectively and handles.
Further, the household appliances and household appliances include nine types of products, such as air conditioners, refrigeration appliances, cleaning appliances, ironing appliances, heating appliances, face-lifting appliances, lighting appliances, household electronic appliances and the like.
Further, the domestic appliance safe operation index specified based on the national standard is a safety standard established by the country for the nine types in the design, manufacture and use processes.
The invention has the beneficial effects that: the intelligent household power utilization system based on the Internet of things big data cloud platform collects the running working condition data of household power utilization equipment and lines all weather and uninterruptedly, automatically captures the abnormal state of the household power utilization system, and is combined with an artificial intelligence analysis platform to realize the troubleshooting of the safety hidden danger of the household power utilization and the real-time processing of abnormal faults.
Drawings
FIG. 1 is a flow chart of the data processing of the inspection of the electric equipment in the invention;
FIG. 2 is a flow chart of the present invention for evaluating the safety of household power consumption;
fig. 3 is a flow chart of the processing of the abnormal fault of the electric equipment or the line in the invention.
The invention is further described with reference to the following figures and detailed description.
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.
Referring to fig. 1 to 3, the household electricity safety monitoring system based on big data of the invention comprises an equipment safety hazard comprehensive analysis platform, a household electricity safety hazard comprehensive analysis platform, a real-time abnormal fault comprehensive analysis platform, an intelligent electricity safety socket and an intelligent electricity safety protector, wherein the equipment safety hazard comprehensive analysis platform comprehensively analyzes and processes the running conditions of household appliances, the running environment of the household appliances and the running conditions of the whole household appliances uploaded by the intelligent electricity safety socket and the intelligent electricity safety protector, generates a household appliance life cycle big data table and a household line safety hazard level big data table according to the analyzed and processed data, uses the household appliance life cycle big data table and the household line safety hazard level big data table according to the service life of the household appliances and the maintenance data of the household appliances, and a health state evaluation table, a safety feature evaluation table and a precautionary level evaluation table are generated regularly (monthly or weekly), the real-time abnormal fault comprehensive analysis platform comprehensively analyzes and processes abnormal fault information uploaded by the intelligent power utilization safety protection socket and the intelligent power utilization safety protector, the abnormal fault information is divided into household internal equipment or line faults and household external line problems according to abnormal fault conditions, and relevant information is pushed to operation and maintenance personnel and household owners in a distributed mode.
The equipment potential safety hazard comprehensive analysis platform comprises an intelligent power utilization safety protection socket, an intelligent power utilization safety protector, household electrical appliance safety operation indexes regulated based on national standards and a platform expert database, wherein the intelligent power utilization safety protection socket acquires the operation working conditions of the household electrical appliance at a long-term fixed position in real time and does not comprise temporarily used electrical appliances, the operation working conditions of the household electrical appliances comprise parameters such as voltage, current, power factor, power consumption, leakage current, harmonic wave, environmental temperature and the like, the intelligent power utilization safety protector is installed in a household distribution box and acquires the operation working conditions of the household electrical appliances in a whole house in real time and comprises parameters such as voltage, current, power factor, power consumption, leakage current, harmonic wave, unbalance, demand, temperature and the like, and the operation working condition data are packaged and then uploaded to the equipment potential safety hazard comprehensive analysis platform, after the analysis, the platform processing module analyzes and judges the transmitted operating condition data one by one according to the safety operating indexes of the household appliances specified by the national standard to generate the platform expert database which comprises a life cycle big data table of the household appliances and a safety hidden danger level big data table of the household lines, wherein the life cycle big data table of the household appliances comprises fault trend data such as temperature rise trend, electric leakage trend, aging trend, line insulation degree trend and the like, and the safety hidden danger level big data table of the household lines comprises four levels of early warning, alarming, warning and troubleshooting.
The comprehensive analysis platform for the potential safety hazards of the household power consumption is characterized in that under the big data and artificial intelligence analysis technology, on the basis of storing big data of life cycles of various types of household appliances, big data summary information is combined to generate a health state evaluation table, a safety feature evaluation table and a precautionary level evaluation table periodically (monthly or weekly) after being processed, and related analysis results are uploaded to fire-fighting and government supervision departments.
The real-time abnormal fault comprehensive analysis platform comprises an intelligent power consumption security socket, an intelligent power consumption safety protector and an information pushing module, wherein the monitoring object of the intelligent power consumption security socket comprises household electrical equipment with a long-term fixed position and electrical equipment used temporarily, the abnormal fault information uploaded by the intelligent power consumption security socket and the intelligent power consumption safety protector comprises overload, overcurrent, electric leakage, fault electric arc, undervoltage, overvoltage and unbalance, the real-time abnormal fault comprehensive analysis platform is divided into two conditions of household internal equipment or line fault and household external line problem according to the abnormal fault condition, the household internal equipment or line fault condition is respectively processed by the information pushing module in the modes of telephone voice, short message and APP pushing for operation and maintenance personnel and household owners, and the household external line problem is processed by the information pushing module, the household appliance and the household appliance are respectively processed by telephone voice, short message and APP pushing modes for operation and maintenance personnel, the household appliance and the household appliance comprise nine products such as an air conditioner, a refrigerating appliance, a cleaning appliance, a soothing and scalding appliance, a heating appliance, a face-lifting appliance, a lighting appliance and a household electronic appliance, and the safety operation index of the household appliance is specified based on the national standard and is the safety standard formulated by the country in the design, manufacture and use processes of the nine products.
The embodiments of the present invention are not limited to the above-described examples, and various changes made without departing from the spirit of the present invention are within the scope of the present invention.

Claims (9)

1. A household electricity safety monitoring system based on big data is characterized by comprising an equipment potential safety hazard comprehensive analysis platform, a household electricity potential safety hazard comprehensive analysis platform, a real-time abnormal fault comprehensive analysis platform, an intelligent electricity safety socket and an intelligent electricity safety protector, wherein the equipment potential safety hazard comprehensive analysis platform comprehensively analyzes and processes the intelligent electricity safety socket and the household appliance operation condition, the household appliance operation environment and the whole household appliance operation condition uploaded by the intelligent electricity safety protector, generates a household appliance life cycle big data table and a household line potential safety hazard grade big data table according to the analyzed and processed data, uses the household appliance life cycle big data table and the household line potential safety hazard grade big data table as well as according to the service life of the household appliance and the maintenance data of the household appliance, and a health state evaluation table, a safety feature evaluation table and a precautionary level evaluation table are generated regularly (monthly or weekly), the real-time abnormal fault comprehensive analysis platform comprehensively analyzes and processes abnormal fault information uploaded by the intelligent power utilization safety protection socket and the intelligent power utilization safety protector, the abnormal fault information is divided into household internal equipment or line faults and household external line problems according to abnormal fault conditions, and relevant information is pushed to operation and maintenance personnel and household owners in a distributed mode.
2. The household electricity safety monitoring system based on big data of claim 1, characterized in that, the equipment safety hazard comprehensive analysis platform includes intelligent electricity safety socket, intelligent electricity safety protector, household electrical appliance safety operation index and platform expert database based on national standard regulation, the intelligent electricity safety socket collects the operation condition of the household electrical appliance at a long-term fixed position in real time, and does not include the temporarily used electrical appliance, the operation condition of the household electrical appliance includes voltage, current, power factor, electricity consumption, leakage current, harmonic wave, ambient temperature and other parameters, the intelligent electricity safety protector is installed in the household distribution box, and collects the operation condition of the household electrical appliance in whole house in real time, including voltage, current, power factor, electricity consumption, leakage current, harmonic wave, The system comprises a platform expert database, a household appliance life cycle big data table, a household line potential safety hazard level big data table, a platform processing module and a household appliance safety hazard level big data table, wherein the platform expert database is generated by uploading operation working condition data to an equipment potential safety hazard comprehensive analysis platform after being packaged, and analyzing and judging the transmitted operation working condition data one by one according to national standard specified household appliance safety operation indexes after being analyzed.
3. The household electrical safety monitoring system based on big data as claimed in claim 1, wherein the big data table of life cycle of household electrical appliance comprises fault trend data such as temperature rise trend, leakage trend, aging trend, line insulation trend, etc.
4. The household electricity safety monitoring system based on big data as claimed in claim 1, wherein the big data table of household line potential safety hazard levels comprises four levels of early warning, warning and troubleshooting.
5. The household electricity safety monitoring system based on big data as claimed in claim 1, wherein the comprehensive analysis platform for household electricity safety hazards utilizes big data storage of life cycle of various types of household appliances under big data and artificial intelligence analysis technology, combines big data summary information to be processed, periodically (monthly or weekly) generates a health status evaluation table, a safety feature evaluation table and a precautionary level evaluation table, and uploads the related analysis results to fire-fighting and government supervision departments.
6. The household electricity safety monitoring system based on big data according to claim 1, characterized in that the real-time abnormal fault comprehensive analysis platform comprises an intelligent electricity safety socket, an intelligent electricity safety protector and an information push module, the monitored object of the intelligent electricity safety socket comprises household electrical equipment at a long-term fixed position and electrical equipment used temporarily, and the abnormal fault information uploaded by the intelligent electricity safety socket and the intelligent electricity safety protector comprises overload, overcurrent, electric leakage, fault arc, undervoltage, overvoltage and unbalance.
7. The household power consumption safety monitoring system based on big data of claim 1, characterized in that, the real-time abnormal fault comprehensive analysis platform is divided into two cases of household internal equipment or line fault and household external line fault according to the abnormal fault condition, the household internal equipment or line fault condition is processed by the information push module respectively in the telephone voice, short message and APP push mode for operation and maintenance personnel and household owner, and the household external line fault is processed by the information push module respectively in the telephone voice, short message and APP push mode for operation and maintenance personnel.
8. The big data based household electricity safety monitoring system according to claim 1, wherein the household appliances comprise nine types of products, namely air conditioners, refrigeration appliances, cleaning appliances, ironing appliances, heating appliances, face-lifting appliances, lighting appliances, household electronic appliances and the like.
9. The household electricity safety monitoring system based on big data as claimed in claim 2, wherein the household electrical appliance safety operation index specified based on national standard is the safety standard specified by the country for the nine types in the design, manufacture and use process.
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CN112344996A (en) * 2020-11-16 2021-02-09 广州瑞鑫智能制造有限公司 Air compression station based on monitoring of Internet of things
CN116125171A (en) * 2022-12-27 2023-05-16 江苏师范大学科文学院 Safety electricity consumption simulation test system for household appliances

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