Water Meter Data Management System Analysis

irrigate mebibyte info precaution System AnalysisSYSTEM ANALYSIS living SYSTEMThe conventional heraldic bearing arranging for wet example involves mortal visits each residential and read the step information manually. The collected entropy atomic number 18 use for bursting charge purpose. Manual readings can cause illusion and can lead to corruption. Thus the billing strategy can sprain in right and inefficient. There argon chances of leaks and theft which could non be identified. A traditional pee ms provide only total consumption of water and provides no information about when the water was consumed at each meter site. Traditional water meters requires back end billing which may not provide accurate billing.PROPOSED SYSTEM irrigate bill entropy Management provides several benefits to both utilities and client. It involves long-term meter info concern for bulky quantity of data received from smart meters. The data is then validate according rule engine and chime ind in database for billing purpose.Water Meter data Management (WMDM) involves smart meter data order of battle, planning and management. It fetches and records water meter reading periodically to identify amount of water is creation used by the consumer. It likewise creates aw arness among consumers about the consumption of water. Water meter readings are collected automatically without human intervention.After manufacture, meters pull up stakes have a universally unique ID (UUID) which leave al unity be printed on meter and lead act as part of the meters serial number. Under normal operating conditions the data Concentrator Unit will query a meter periodically to read its meter data. It is Data Concentrator Unit which always initiates the communication between meters.Meter commands will be sent over radio frequency to various meters from DCU and responses is sent by meters. DCU periodically communicates with meters and collects data from them and sends to ear End Server (HES) typically by HTTP.A WMDM system performs accurate data storage and fast management of vast quantities of data delivered by smart metering systems. This data primarily consists of usage and events that are imported from the Head End Servers and that manage the data collection in Automatic meter reading (AMR) systems. A WMDM system will in the first place import the data, then validate, cleanse errors and estimates it and makes it available for analysis and billing purpose.Each meter is integrated with SIM, WMDM make use of Existing ball-shaped System for Mobile communications (GSM) networks for sending request and receiving data. It promises fast and accurate billing. System offers alerts on leaks and suspected theft.MODULES DESCRIPTIONProject contains the following modulesHead End SystemData CollectionValidation and Error melodic themeVisualizationHead End SystemHES is used receive current of meter data from DCU through the Advanced Meter Infrastructure (AMI). Data Concentrator Unit (DCU) communicates with several numbers of meters and collects the data from them and transmits to HES.The data is sent in multiple regurgitate formats and frames are of constant size of 20 bytes. The frame consists 4 bytes of header, 2 bytes of data size, 1 byte of frame id, 2 bytes of flags, 4 bytes of source address, 4 bytes of destination address, 1 byte of checksum, last 2 bytes of CRC.HES periodically collect data from DCU and store it in different file formats such as CSV, XML, and TXT.HES pings DCU to check whether water meter is responding or not responding. This is one of main advantage in WMDM where it alerts in good example if meter is not working but water is being consumed.READ command is used to get particular meter readings among several number of meters using meter serial number.It is DCU which always initiates the communication between sets of meters.DATA COLLECTIONData collection allows data to be stored easily and efficiently. It easy-to-use data acquisition antecedent for collecting water usage information and for display and reporting purposes. It mainly concentrates on acquiring various sets of data from different file formats stored in database. Rule engines are developed to convert raw data into various(prenominal) formats, processed and stored on to database.Radio FrequencyHTTPRaw data born-again to Native formatsExact dataVALIDATION AND ERROR ESTIMATIONRule-based algorithms are developed to validate meter readings stored in database. It provides either actual data or the best possible estimate. Invalid data can be analysed to further identify the root causes of any problem.Multiple rules can be executed simultaneously and can be prioritized to match work needs. assessment based on consumption profiles or historical data are automatically calculated as a substitute for missing data. visualisationThis module mainly concentrates on meter data interpretation fetched from database and figure by hourly, daily, mo nthly data using graphs. Visualization module is also used to Compare meter data of different customers.Visualization is more user-friendly and also creates awareness by comparing meter data of different customer.REQUIREMENT SPECIFICATIONFUNCTIONAL REQUIREMENTMetersDCU communicates with meters to collect and store meter readings according to interval of 30 minutes or hourly.Provides a efficiency to remotely access meters readings to support customer billing, service and system operation.Provide processing at the meter or within system necessary for customer service or system operation application.Allows customer to view meter data using graphs.Utility Data treatEntry, update and monitoring of data on installation and replacement of meters.Data stored according to regular intervals are validated in accordance with billing standards and updated to database.Validated data must be integrated to support customer billing and other system functions.AMI Network SystemIt provides a capab ility to manage vast meter data collection schedules, and alerts in case of meters problem and all other system maintenance and operations.NON-FUNCTIONAL REQUIRMENTSAvailabilityWater meter Data Management System is available 24/7. customer can view their water usage anytime.ReliabilityThe reliability of the overall application depends on the reliability of the meter data being collected.MaintainabilityIn case of a failure, the meter data can be communicate from DCU.Vast amount data can be easily stored and updated.Extensibility recent features can be added and system can be upgraded to meet business requirements.PerformanceResponse clock application loading, screen open, refresh times, etc are highly responsive.Processing times Calculations of bill, importing and exporting data are through with(p) in less amount of time.Query and Reporting times The application initial loads and subsequent loads are done fast.Fraud ToleranceSystem identifies the tampering in meters automatical ly.