CN104112345A - Data monitoring method of remote wireless meter reading system - Google Patents
Data monitoring method of remote wireless meter reading system Download PDFInfo
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Abstract
The invention relates to the technical field of wireless meter reading and provides a data monitoring method of a remote wireless meter reading system. The data monitoring method comprises the following steps that an acquisition terminal acquires electric meter data in fixed time and transmits the electric meter data to a concentrator; the concentrator generates an electric meter data index table according to a set electric meter number list, and stores the electric meter data in the index table and transmits the meter reading data to a data server by use of a front-end server; the data server gathers the meter reading data transmitted by the concentrator; a monitoring server calculates a dynamic line loss rate according to the meter reading data in the data server and determines whether the dynamic line loss rate exceeds a preset value; a promoting alarm is generated when the dynamic line loss rate exceeds the preset value, and when the dynamic line loss rate does not exceed the preset value, a line loss analytic statistical form is generated according to the calculated dynamic line loss rate. The data monitoring method of the remote wireless meter reading system realizes monitoring on the whole remote wireless meter reading system, and consequently, the reliability of the whole remote wireless meter reading system is improved.
Description
Technical field
The present invention relates to Wireless Meter Reading Technology field, relate in particular to the data monitoring method of long-distance wireless meter-reading system.
Background technology
Traditional manual meter reading method is time-consuming, effort, and accuracy and promptness also can not get ensureing, proposed remote meter reading scheme for this reason.Wireless kilowatt meter reading-out system of the prior art, comprise user side and management end, user side forms by showing tool, collector, data processor, table tool transfers data to collector, collector and data processor are by wireless way for transmitting data, and data processor and management end, by telephone line transmission data, are realized automatic data logging, but the function of data that gather not being monitored in prior art, has affected the reliability of whole long-distance wireless meter-reading system.
Summary of the invention
The object of the present invention is to provide a kind of data monitoring method of long-distance wireless meter-reading system, be intended to solve the function of data that gather not being monitored in prior art, cause affecting the problem of the reliability of whole long-distance wireless meter-reading system.
The present invention is achieved in that a kind of data monitoring method of long-distance wireless meter-reading system, and described long-distance wireless meter-reading system comprises acquisition terminal, concentrator, data server, front end processor server and monitoring server, and described data monitoring method comprises:
Described acquisition terminal gathers at a fixed time ammeter data and described ammeter data is sent to described concentrator;
Described concentrator, according to the ammeter numbered list of setting, generates ammeter data concordance list, and described ammeter data is stored in described concordance list, and meter reading data is sent to described front end processor server;
Described front end processor server sends to described data server by described meter reading data;
The meter reading data that described data server sends described concentrator gathers, and described meter reading data is stored;
Described monitoring server calculates dynamic line loss per unit according to the meter reading data in described data server, and judge whether described dynamic line loss per unit surpasses preset value, when described dynamic line loss per unit surpasses preset value, sending prompting reports to the police, when described dynamic line loss per unit does not surpass preset value, according to the dynamic line loss per unit calculating, generate line loss analyzing statistical report form.
The data monitoring method of long-distance wireless meter-reading system provided by the invention, by the meter reading data of storing in monitor server Monitoring Data server, and the number of checking meter is managed and analyzed, and carry out according to analysis result the statistical report form that alarm generates different parameters simultaneously, realize the monitoring to whole long-distance wireless meter-reading system, and then promoted the reliability of whole long-distance wireless meter-reading system.
Accompanying drawing explanation
In order to be illustrated more clearly in the technical scheme in the embodiment of the present invention, to the accompanying drawing of required use in embodiment or description of the Prior Art be briefly described below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skills, do not paying under the prerequisite of creative work, can also obtain according to these accompanying drawings other accompanying drawing.
Fig. 1 is the structural representation of a kind of long-distance wireless meter-reading system of providing of an embodiment of the present invention;
Fig. 2 is the process flow diagram of the data monitoring method of a kind of long-distance wireless meter-reading system of providing of an embodiment of the present invention.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearer, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not intended to limit the present invention.
For technical scheme of the present invention is described, below by specific embodiment, describe.
An embodiment of the present invention provides a kind of data monitoring method of long-distance wireless meter-reading system, as shown in Figure 1, long-distance wireless meter-reading system comprises acquisition terminal 10, concentrator 20, data server 30, front end processor server 60 and monitoring server 40, and data monitoring method comprises:
S101. acquisition terminal 10 gathered the ammeter data of electric supply meter 50 and ammeter data is sent to concentrator 20 in predetermined time;
S102. concentrator 20, according to the ammeter numbered list of setting, generates ammeter data concordance list, and ammeter data is stored in concordance list to form meter reading data, and meter reading data is sent to front end processor server 60;
S103. front end processor server 60 sends to data server 30 by meter reading data;
S104. the meter reading data that 30 pairs of concentrators of data server 20 send gathers, and meter reading data is stored;
S105. monitoring server 40 calculates dynamic line loss per unit according to the meter reading data in data server 30, and judges whether dynamic line loss per unit surpasses preset value;
S106. when dynamic line loss per unit surpasses preset value, send prompting and report to the police;
S107. according to the dynamic line loss per unit calculating, generate line loss analyzing statistical report form.
In step S101, acquisition terminal 10 gathers the data of one or more electric supply meter 50 by wired or wireless mode, and by the data of each piece ammeter 50 by radioing to concentrator 20.
In step S102, concentrator 20 is set ammeter numbering to each ammeter 50, and all ammeters numberings are formed to ammeter data concordance lists, and the data of each piece ammeter are stored in and in concordance list, form meter reading data, the quantity of concentrator 20 can have a plurality of, for example, for Yi Ge community, each floor in each in community building can be provided with a concentrator 20, a plurality of floor concentrators 20 in each building form a network, the concentrator 20 in this network Hui Yigaidong building is root node, each of this community building also forms a network, it is root node that this network be take the concentrator 20 of community, the concentrator 20 of community communicates by front end processor and data server 30, front end processor is responsible for data and is sent, the work such as reception and agreement explanation, and support communication, GSM short message communication for example, GPRS data service, wire telephony MODEM, RS232, Ethernet TCP/IP etc.
In step S103,30 pairs of meter reading datas of data server are stored, and saved system parameter, real time data and historical data provide and the related application system data switching planes such as MIS, electricity consumption marketing, distribution automation, dispatching automation.
In step S104, the step that institute's monitoring server 40 calculates dynamic line loss per unit according to the meter reading data in data server 30 is specially: the difference that monitoring server 40 calculates all submeter electric energy under summary table electric energy and summary table obtains line loss value, and obtains line loss per unit according to the ratio of line loss value and summary table electric energy.
Wherein, Yi Yige community is example, and the building of each in community can arrange a summary table, and the ammeter at each family in each building forms each the piece submeter under summary table.
Wherein, the difference that monitoring server 40 calculates submeter electric energy used under summary table electric energy and summary table obtains line loss value, and also comprise according to the step that the ratio of line loss value and summary table electric energy obtains line loss per unit: monitoring server 40 respectively according to hour, day, week, month and Nian Wei unit calculate line loss per unit, to form line loss analyzing statistical report form.
Concrete, get certain several hours of every day, a few days of each week, the like, respectively according to hour, day, week, month and Nian Wei unit calculate line loss per unit, and in step S106, form line loss analyzing statistical report form.
For example, analytic statistics table comprises the contrast of the line loss per unit data of some communities, can according to hour, day, week, month and the line loss per unit contrast of Nian Wei unit, can be also that the line loss per unit of different floors community in contrasts.And when line loss per unit, occurring when abnormal, obtaining abnormal regional receipt data, and whether analyze because sale of electricity data cause the abnormal of line loss per unit, whether further detect due to sale of electricity and the line loss per unit that ammeter does not cause to account is abnormal.
Further, data monitoring method is further comprising the steps of:
Monitoring server 40 according to the meter reading data in data server 30 according to user's electricity consumption classification calculating voltage qualification rate, and formation voltage yield analysis statistical report form.
According to rate of qualified voltage analytic statistics form, can realize the monitoring management to the quality of power supply.
Wherein, monitoring server 40 is specially according to the step of user's electricity consumption classification calculating voltage qualification rate according to the meter reading data in data server 30: monitoring server 40 is divided into residential electricity consumption, business electricity consumption and commercial power etc. by user's electricity consumption classification, and add up respectively voltage that each piece ammeter under each class of subscriber called together the survey time in section sometime whether within the scope of predeterminated voltage, when the voltage of a certain ammeter is during in predeterminated voltage scope, think that ammeter is qualified, and obtain rate of qualified voltage according to the ratio of the passing number of ammeter and ammeter sum.
Further, monitoring server is also for the electricity price rank variant according to the different set of electricity consumption classification, for example, spring or autumn each house power consumption be less than summer or winter each house power consumption, the electricity price in the season of low power consumption is defined as lower than the high power consumption electricity price in season, and the electric power with predetermined electricity price is offered to different class of subscribers, be peak times of power consumption summer, it is peak times of power consumption electricity prices that the 6-10 month can be set, and also can be only set a month.The historical power consumption of monitoring server based on different user classification is predicted power consumption as power information and the Weather information of electric power generation, each season in past and each time period, and electricity price is determined in the power consumption based on prediction.Monitoring server is set the default electric weight of a period of time, different classes of user's default electric weight is different, default electric weight comprises the first default electric weight and the second default electric weight, the second default electric weight is greater than the first default electric weight, monitoring server compares user's power consumption and the first default electric weight, when user power utilization amount surpasses the first default electric weight, promotes the electric price of every degree, when user power utilization amount surpasses the second default electric weight, again promote the electric price of every degree.
Further, data monitoring method is further comprising the steps of: monitoring server 40 calculates power supply reliability according to the meter reading data in data server 30, and generates power supply reliability analytic statistics form.
Wherein, the step that monitoring server 40 calculates power supply reliability according to meter reading data in data server 30 is specially: have a power failure within certain the period table number of ammeter and the ratio of ammeter sum of monitoring server 40 counting statistics obtains power supply reliability.
For example, can be according to day or Yue Wei unit's statistics power supply reliability.
Further, data monitoring method is further comprising the steps of:
Acquisition terminal 10 sends warning message and sends to front end processor server 60 to upload to data server 30 by concentrator 20 when abnormal conditions occur ammeter 50;
When monitoring server 40 monitors packet in data server 30 containing warning message, send prompting and report to the police.
Wherein, acquisition terminal 10 collects the step that warning message uploads to data server 30 by concentrator 20 and is specially:
Described warning message is a status word, the corresponding a kind of abnormal conditions of each status word.
Wherein, when described monitoring server 40 monitors packet in data server 30 containing warning message, the step of sending prompting warning is specially: described monitoring server 40, according to the status word detecting, sends the warning message of the abnormal conditions corresponding with described status word.
For example, in abnormal conditions, electric energy meter stops metering or all corresponding status word of stealing occurs, and monitor database is sent corresponding alarm according to different status words, when there is stealing, send stealing alarm and send cut-offing instruction, cutting off user's load circuit.
The data monitoring method of long-distance wireless meter-reading system provided by the invention, by the meter reading data of storing in monitor server Monitoring Data server, and the number of checking meter is managed and analyzed, and carry out according to analysis result the statistical report form that alarm generates different parameters simultaneously, realize the monitoring to whole long-distance wireless meter-reading system, and then promoted the reliability of whole long-distance wireless meter-reading system.
Above content is in conjunction with concrete preferred implementation further description made for the present invention, can not assert that specific embodiment of the invention is confined to these explanations.For general technical staff of the technical field of the invention; make without departing from the inventive concept of the premise some alternative or obvious modification that are equal to; and performance or purposes identical, all should be considered as belonging to the present invention by the definite scope of patent protection of submitted to claims.
Claims (10)
1. a data monitoring method for long-distance wireless meter-reading system, is characterized in that, described long-distance wireless meter-reading system comprises acquisition terminal, concentrator, data server, front end processor server and monitoring server, and described data monitoring method comprises:
Described acquisition terminal gathers at a fixed time ammeter data and described ammeter data is sent to described concentrator;
Described concentrator, according to the ammeter numbered list of setting, generates ammeter data concordance list, and described ammeter data is stored in described concordance list and forms meter reading data, and described meter reading data is sent to described front end processor server;
Described front end processor server sends to described data server by described meter reading data;
The meter reading data that described data server sends described concentrator gathers, and described meter reading data is stored;
Described monitoring server calculates dynamic line loss per unit according to the meter reading data in described data server, and judge whether described dynamic line loss per unit surpasses preset value, when described dynamic line loss per unit surpasses preset value, sending prompting reports to the police, when described dynamic line loss per unit does not surpass preset value, according to the dynamic line loss per unit calculating, generate line loss analyzing statistical report form.
2. data monitoring method as claimed in claim 1, is characterized in that, the step that described monitoring server calculates dynamic line loss per unit according to the meter reading data in described data server is specially:
Monitoring server calculate all submeters under summary table electric energy and summary table electric energy and difference obtain line loss value, and obtain line loss per unit according to the ratio of described line loss value and described summary table electric energy.
3. data monitoring method as claimed in claim 2, it is characterized in that, the difference that described monitoring server calculates submeter electric energy used under summary table electric energy and summary table obtains line loss value, and also comprises according to the step that the ratio of described line loss value and described summary table electric energy obtains line loss per unit:
Described monitoring server respectively according to hour, day, week, month and Nian Wei unit calculate described line loss per unit, to form line loss analyzing statistical report form.
4. data monitoring method as claimed in claim 1, is characterized in that, the meter reading data that described data server sends described concentrator gathers and backs up, and further comprising the steps of after the step that described meter reading data is stored:
Described monitoring server according to the meter reading data in described data server according to user's electricity consumption classification calculating voltage qualification rate, and formation voltage yield analysis statistical report form.
5. data monitoring method as claimed in claim 4, is characterized in that, described monitoring server is specially according to the step of user's electricity consumption classification calculating voltage qualification rate according to the meter reading data in described data server:
Described monitoring server is divided into residential electricity consumption, business electricity consumption and commercial power by user's electricity consumption classification, and add up respectively voltage that each piece ammeter under each electricity consumption classification called together the survey time in section sometime whether within the scope of predeterminated voltage, when the described voltage of a certain ammeter is during in predeterminated voltage scope, think that described ammeter is qualified, and obtain rate of qualified voltage according to the ratio of the passing number of ammeter and ammeter sum.
6. data monitoring method as claimed in claim 1, is characterized in that, the meter reading data that described data server sends described concentrator gathers and backs up, and further comprising the steps of after the step that described meter reading data is stored:
Described monitoring server calculates power supply reliability according to the meter reading data in described data server, and generates power supply reliability analytic statistics form.
7. data monitoring method as claimed in claim 6, is characterized in that, the step that described monitoring server calculates power supply reliability according to the meter reading data in described data server is specially:
Have a power failure within certain the period table number of ammeter and the ratio of ammeter sum of described monitoring server counting statistics obtains power supply reliability.
8. data monitoring method as claimed in claim 1, is characterized in that, described data monitoring method is further comprising the steps of:
Described acquisition terminal sends warning message and sends to front end processor server to upload to data server by described concentrator when described ammeter generation abnormal conditions;
When described monitoring server monitors packet in data server containing warning message, send prompting and report to the police.
9. data monitoring method as claimed in claim 8, is characterized in that, described acquisition terminal collects warning message and by concentrator, uploads in the step of data server:
Described warning message is a status word, the corresponding a kind of abnormal conditions of each status word.
10. data monitoring method as claimed in claim 9, is characterized in that, when described monitoring server monitors packet in data server containing warning message, sends the step that prompting reports to the police and is specially:
Described monitoring server, according to the status word detecting, sends the warning message of the abnormal conditions corresponding with described status word.
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| CN104505936A (en) * | 2014-12-02 | 2015-04-08 | 国家电网公司 | Power data monitoring method and power data monitoring system |
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| CN111984629A (en) * | 2020-08-31 | 2020-11-24 | 南京工程学院 | Method for constructing platform area line loss rate standard library based on data mining under multidimensional scene |
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| CN111932320A (en) * | 2020-09-22 | 2020-11-13 | 国网浙江省电力有限公司 | Method and device for generating electricity charge preferential multidimensional code for contra-rotating power supply terminal user |
| CN114124966A (en) * | 2021-11-22 | 2022-03-01 | 广东电网有限责任公司江门供电局 | Transformer area line loss analysis pushing method and system, electronic equipment and storage medium |
| CN114124966B (en) * | 2021-11-22 | 2023-06-30 | 广东电网有限责任公司江门供电局 | Method, system, electronic equipment and storage medium for analyzing and pushing line loss of transformer area |
| CN114286203A (en) * | 2021-12-22 | 2022-04-05 | 深圳供电局有限公司 | Electric meter nuclear data shunting processing system and method based on big data |
| CN114286203B (en) * | 2021-12-22 | 2024-03-29 | 深圳供电局有限公司 | Electric meter nuclear data distribution processing system and method based on big data |
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