CN111308251B - Household electricity safety monitoring system based on big data - Google Patents
Household electricity safety monitoring system based on big data Download PDFInfo
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- CN111308251B CN111308251B CN202010214724.1A CN202010214724A CN111308251B CN 111308251 B CN111308251 B CN 111308251B CN 202010214724 A CN202010214724 A CN 202010214724A CN 111308251 B CN111308251 B CN 111308251B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm 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
- G08B25/08—Alarm 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
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- Y—GENERAL 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS 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
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention discloses a household electricity safety monitoring system based on big data, which comprises an equipment safety potential comprehensive analysis platform, a household electricity safety potential comprehensive analysis platform, a real-time abnormal fault comprehensive analysis platform, an intelligent electricity safety protection socket and an intelligent electricity safety protector, wherein the equipment safety potential comprehensive analysis platform comprehensively analyzes and processes household electrical equipment operation working conditions, household electrical equipment operation environments and whole house household electrical equipment operation working conditions uploaded by the intelligent electricity safety protection socket and the intelligent electricity safety protector, and generates analyzed and processed data into a household electrical equipment life cycle big data table and a household line safety potential hazard level big data table.
Description
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 refers to collecting any object or process needing to be monitored, connected and interacted in real time through various devices and technologies such as various information sensors, radio frequency identification technologies, global positioning systems, infrared sensors and laser scanners, collecting various needed information such as sound, light, heat, electricity, mechanics, chemistry, biology and positions, and realizing ubiquitous connection of objects and people through various possible network access, and realizing intelligent sensing, identification and management of objects and processes.
With the rapid development of society, more and more electric appliances are in families in each district, especially in hot summer and cold winter, the time for people to use the refrigerating or heating electric appliances is longer and longer, the electric leakage phenomenon is easy to occur when the circuits in the rooms are excessively used, various electric appliances overloaded for a long time are used in hot summer, the circuits generate heat or large current, fire is easy to occur, and unexpected consequences are generated for the families. Accordingly, a person skilled in the art provides a home electricity safety monitoring system based on big data to solve the problems set forth 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, so that the defects of the prior art are overcome.
In order to solve the technical problems, the invention adopts the following technical scheme:
the household electricity safety monitoring system comprises a device safety potential comprehensive analysis platform, a household electricity safety potential comprehensive analysis platform, a real-time abnormal fault comprehensive analysis platform, an intelligent electricity safety protection socket and an intelligent electricity safety protector, wherein the device safety potential comprehensive analysis platform comprehensively analyzes and processes household electricity device operation working conditions, household electricity device operation environments and whole house household electricity device operation working conditions uploaded by the intelligent electricity safety protection socket and the intelligent electricity safety protector, and generates analyzed and processed data into a household electricity device life cycle big data table and a household line safety potential safety hazard grade big data table, the household electricity safety potential comprehensive analysis platform periodically (monthly or weekly) generates a health state evaluation table, a safety feature evaluation table and a protection grade evaluation table according to household electricity device life cycle big data and household electricity device maintenance data, and the real-time abnormal fault comprehensive analysis platform comprehensively analyzes and processes abnormal fault information uploaded by the intelligent electricity safety protection socket and the intelligent electricity safety protector, and distributes the abnormal fault information to relevant household electricity safety protection devices and household line outside operation personnel according to the abnormal fault conditions and household line distribution information.
Further, the comprehensive analysis platform for the potential safety hazards of the equipment comprises an intelligent electricity safety protection socket, an intelligent electricity safety protector, household appliance safety operation indexes specified based on national standards and a platform expert database, wherein the intelligent electricity safety protection socket collects operation working conditions of household appliance equipment at a long-term fixed position in real time and does not comprise temporarily used electric equipment, the operation working conditions of the household appliance equipment comprise parameters such as voltage, current, power factor, electricity consumption, leakage current, harmonic wave and environmental temperature, the intelligent electricity safety protector is arranged in a distribution box of a household, the intelligent electricity safety protector collects all-house household appliance operation working conditions in real time and comprises parameters such as voltage, current, power factor, electricity consumption, leakage current, harmonic wave, unbalance degree, demand and temperature, the operation working condition data are packaged and then uploaded to the comprehensive analysis platform for the potential safety hazards of the equipment, and after analysis, the platform processing module analyzes the input operation working condition data one by one according to the national standards, and the household appliance safety operation indexes are analyzed and judged to generate the platform expert database which comprises a household appliance life cycle big data table and a household line safety class big data table.
Further, the life cycle big data table of the household electrical appliance comprises fault trend data such as temperature rising trend, electric leakage trend, aging trend, line insulation trend and the like.
Further, the household line potential safety hazard level big data table comprises four levels of early warning, alarming, warning and investigation.
Furthermore, the comprehensive analysis platform for household electricity safety hazards utilizes the large data storage of life cycle of various household appliances on the basis of large data and artificial intelligent analysis technology, combines the large data to summarize information, generates a health state evaluation table, a safety feature evaluation table and a prevention level evaluation table at regular intervals (monthly or weekly) after processing, and uploads relevant analysis results to fire protection and government supervision departments.
Further, the real-time abnormal fault comprehensive analysis platform comprises an intelligent electricity utilization safety protection socket, an intelligent electricity utilization safety protector and an information pushing module, wherein an intelligent electricity utilization safety protection socket monitoring object comprises household electrical equipment at a long-term fixed position and temporarily used electrical equipment, and the intelligent electricity utilization safety protection socket and abnormal fault information uploaded by the intelligent electricity utilization safety protector comprises overload, overcurrent, leakage, fault arc, undervoltage, overvoltage and unbalance.
Further, the real-time abnormal fault comprehensive analysis platform is divided into two cases of household internal equipment or line faults and household external line problems according to abnormal fault conditions, the household internal equipment or line faults are respectively processed by the information pushing module in a telephone voice, short message and APP pushing mode for operation and maintenance personnel and household owners, and the household external line problems are respectively processed by the information pushing module in a telephone voice, short message and APP pushing mode for the operation and maintenance personnel.
Further, the household appliances and household appliances comprise nine products such as an air conditioner, a refrigeration appliance, a cleaning appliance, a soothing ironing appliance, a heating appliance, a face-lifting appliance, a lighting appliance and a household electronic appliance.
Furthermore, the safety operation index of the household appliances based on the national standard is a safety standard formulated by the country for the nine types in the design, manufacture and use processes.
The invention has the beneficial effects that: according to the invention, based on the Internet of things big data cloud platform, the running condition data of household electric equipment and lines are continuously collected all-weather, the abnormal state of the household electric system is automatically captured, and the real-time treatment of household electric safety hidden trouble shooting and abnormal faults is realized by combining with the artificial intelligent analysis platform.
Drawings
FIG. 1 is a flow chart of the inspection data processing of the electric equipment in the invention;
FIG. 2 is a flow chart of the household electricity safety evaluation in the invention;
fig. 3 is a flow chart of the abnormal fault handling of the electric equipment or the circuit in the invention.
The invention is further described below with reference to the drawings and the detailed description.
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.
Referring to fig. 1-3, the household electricity safety monitoring system based on big data of the invention comprises a comprehensive analysis platform for potential safety hazards of equipment, a comprehensive analysis platform for potential safety hazards of household electricity, a comprehensive analysis platform for real-time abnormal faults, an intelligent electricity safety protection socket and an intelligent electricity safety protector, wherein the comprehensive analysis platform for potential safety hazards of equipment comprehensively analyzes and processes the operation conditions of household appliances, the operation environment of household appliances and the operation conditions of household appliances uploaded by the intelligent electricity safety protection socket and the intelligent electricity safety protector, and generates the analyzed and processed data into a large data table for life cycle of household appliances and a large data table for potential safety hazard level of household lines, the household electricity safety hidden danger comprehensive analysis platform is used for generating a health state assessment table, a safety characteristic assessment table and a prevention grade assessment table periodically (monthly or weekly) according to the life cycle big data table of the household electrical equipment and the household line safety hidden danger grade big data table and the service life of the household electrical equipment and the maintenance data of the household electrical equipment, and the real-time abnormal fault comprehensive analysis platform is used for comprehensively analyzing and processing the abnormal fault information uploaded by the intelligent electricity safety protection socket and the intelligent electricity safety protector and dividing the abnormal fault information into household internal equipment or line faults and household external line problems according to abnormal fault conditions, and distributing relevant information to operation and maintenance personnel and household owners.
The intelligent electricity safety protector is arranged in a distribution box of a household, the intelligent electricity safety protector collects parameters such as operation conditions of the household appliances, including parameters such as voltage, current, power factor, electricity consumption, leakage current, harmonic wave and environmental temperature, the intelligent electricity safety protector collects parameters such as voltage, current, power factor, electricity consumption, leakage current, harmonic wave, unbalance degree, demand and temperature in real time, operation condition data are uploaded to the equipment safety comprehensive analysis platform after being packaged, operation condition data transmitted by the platform processing module are analyzed and judged one by one according to the household appliance safety operation indexes specified by the national standard, and the platform processing module generates the platform expert database, including a household appliance life cycle large data table and a household line safety class large data table, and the household appliance life cycle large data table includes life cycle large trend data, household line large trend data, household line warning potential safety class large trend data and warning potential safety class large trend data.
Based on big data and artificial intelligent analysis technology, the household electricity safety hidden danger comprehensive analysis platform utilizes the big data storage of the life cycle of various household appliances, combines the big data to gather information, generates a health state evaluation table, a safety characteristic evaluation table and a prevention grade evaluation table at regular intervals (monthly or weekly) after processing, and uploads relevant analysis results to fire protection and government supervision departments.
The real-time abnormal fault comprehensive analysis platform comprises an intelligent electricity consumption safety protection socket, an intelligent electricity consumption safety protector and an information pushing module, wherein an intelligent electricity consumption safety protection socket monitoring object comprises household electrical equipment at a long-term fixed position and temporarily used electrical equipment, abnormal fault information uploaded by the intelligent electricity consumption safety protection socket and the intelligent electricity consumption safety protector comprises overload, overcurrent, leakage, fault arc, undervoltage, overvoltage and unbalance, the real-time abnormal fault comprehensive analysis platform is divided into two conditions of household internal equipment or line faults and household external line problems according to abnormal fault conditions, the household internal equipment or line faults are processed by the information pushing module in a telephone voice, short message and APP pushing mode for operation and maintenance personnel respectively, the household electrical equipment and the household electrical equipment are processed in a telephone voice, short message and APP pushing mode, and the household electrical equipment comprise an air conditioner, a refrigerating appliance, a cleaning appliance, a ironing appliance, a heating appliance, a face-lifting appliance, a lighting appliance, a household electronic appliance and the like, and the household electrical equipment is manufactured in a nine-state safety standard based on the nine-operation safety standard.
The embodiments of the present invention are not limited to the above examples, and various changes made without departing from the spirit of the present invention are all within the scope of the present invention.
Claims (3)
1. The household electricity safety monitoring system based on big data is characterized by comprising an equipment safety potential comprehensive analysis platform, a household electricity safety potential comprehensive analysis platform, a real-time abnormal fault comprehensive analysis platform, an intelligent electricity safety protection socket and an intelligent electricity safety protector, wherein the equipment safety potential comprehensive analysis platform is used for comprehensively analyzing and processing household equipment operation working conditions, household equipment operation environments and whole house household equipment operation working conditions uploaded by the intelligent electricity safety protection socket and the intelligent electricity safety protector, generating a household equipment life cycle big data table and a household line safety potential grade big data table from the analyzed and processed data, periodically generating a health state evaluation table, a safety feature evaluation table and a protection grade evaluation table monthly or weekly according to household equipment service life limit and household equipment maintenance data by the household electricity safety potential comprehensive analysis platform, and sending the abnormal information uploaded by the intelligent electricity safety protection socket and the intelligent electricity safety protector to a household equipment and the household line safety grade big data table according to the real-time abnormal fault comprehensive analysis platform, and sending the abnormal information to the household equipment and household line outside service personnel according to the abnormal fault or household line maintenance information respectively;
the intelligent electricity safety protector is arranged in a distribution box of a household, the operation conditions of the household appliances, including voltage, current, power factor, electricity consumption, leakage current, harmonic wave, unbalance degree, demand and temperature parameters, are collected in real time, the operation condition data are uploaded to the comprehensive analysis platform of the household appliances at a long-term fixed position after being packaged, the operation condition data transmitted by a platform processing module are analyzed and judged one by one according to the household appliance safety operation indexes specified by the national standard after analysis, and the platform database is generated, and comprises a life cycle big data table of the household appliances and a household line safety class big data table;
the life cycle big data table of the household electrical appliance comprises fault trend data of temperature rising trend, electric leakage trend, aging trend and line insulation trend;
the household line potential safety hazard level big data table comprises four levels of early warning, alarming, warning and investigation;
the comprehensive analysis platform for household electricity safety hazards is used for generating a health state evaluation table, a safety feature evaluation table and a prevention level evaluation table on a regular monthly or weekly basis by combining big data summary information on the basis of storing big data of life cycles of various household appliances under the big data and artificial intelligence analysis technology and uploading related analysis results to fire protection and government supervision departments;
the real-time abnormal fault comprehensive analysis platform comprises an intelligent electricity utilization safety protection socket, an intelligent electricity utilization safety protector and an information pushing module, wherein an intelligent electricity utilization safety protection socket monitoring object comprises household electrical equipment at a long-term fixed position and temporarily used electrical equipment, and abnormal fault information uploaded by the intelligent electricity utilization safety protection socket and the intelligent electricity utilization safety protector comprises overload, overcurrent, leakage, fault arc, undervoltage, overvoltage and unbalance;
the real-time abnormal fault comprehensive analysis platform is divided into two conditions of household internal equipment or line faults and household external line problems according to abnormal fault conditions, the household internal equipment or line fault conditions are respectively processed by the information pushing module in a telephone voice, short message and APP pushing mode for operation and maintenance personnel and household owners, and the household external line problems are respectively processed by the information pushing module in a telephone voice, short message and APP pushing mode for the operation and maintenance personnel.
2. The home electrical safety monitoring system based on big data according to claim 1, wherein the home electrical appliances comprise nine products of air conditioner, refrigeration appliance, cleaning appliance, ironing appliance, heating appliance, face-lifting appliance, lighting appliance, and home electronics appliance.
3. The household electricity safety monitoring system based on big data according to claim 1, wherein the household electrical appliance safety operation index specified based on the national standard is a safety standard formulated by the country in the process of designing, manufacturing and using the nine types.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010214724.1A CN111308251B (en) | 2020-03-24 | 2020-03-24 | Household electricity safety monitoring system based on big data |
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| CN202010214724.1A CN111308251B (en) | 2020-03-24 | 2020-03-24 | Household electricity safety monitoring system based on big data |
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| CN111308251B true CN111308251B (en) | 2023-08-01 |
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Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112071012A (en) * | 2020-09-14 | 2020-12-11 | 深圳创维－Rgb电子有限公司 | Fire monitoring method, television and computer readable storage medium |
| CN112344996B (en) * | 2020-11-16 | 2021-06-15 | 广州瑞鑫智能制造有限公司 | Air compression station based on monitoring of Internet of things |
| CN116125171B (en) * | 2022-12-27 | 2024-01-23 | 江苏师范大学科文学院 | Safety electricity consumption simulation test system for household appliances |
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Address after: Room 426, 4th Floor, Shangkun Zixuan Plaza Commercial Building, No. 338 Zixuan Road, Sandun Town, Xihu District, Hangzhou City, Zhejiang Province, 310012 Applicant after: Hangzhou Xiangrui Intelligent Technology Co.,Ltd. Address before: Room 426, 4th Floor, Shangkun Zixuan Plaza Commercial Building, No. 338 Zixuan Road, Sandun Town, Xihu District, Hangzhou City, Zhejiang Province, 310012 Applicant before: Hangzhou Fengduo Intelligent Technology Co.,Ltd. |
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