CN107612592B - Energy efficiency interaction system based on power line transmission - Google Patents

Energy efficiency interaction system based on power line transmission Download PDF

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CN107612592B
CN107612592B CN201710759366.0A CN201710759366A CN107612592B CN 107612592 B CN107612592 B CN 107612592B CN 201710759366 A CN201710759366 A CN 201710759366A CN 107612592 B CN107612592 B CN 107612592B
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data
power
power utilization
energy efficiency
mining
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CN107612592A (en
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陈宏�
黄长贵
许倩
孙振升
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State Grid Corp of China SGCC
State Grid Information and Telecommunication Co Ltd
State Grid Zhejiang Electric Power Co Ltd
Great Power Science and Technology Co of State Grid Information and Telecommunication Co Ltd
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State Grid Corp of China SGCC
State Grid Information and Telecommunication Co Ltd
State Grid Zhejiang Electric Power Co Ltd
Great Power Science and Technology Co of State Grid Information and Telecommunication Co Ltd
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    • 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • 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
    • Y04S40/00Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/12Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
    • Y04S40/126Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wireless data transmission

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Abstract

The invention provides an energy efficiency interaction system based on power line transmission, which comprises: the system comprises a data acquisition layer, a data transmission layer, a data mining layer and a service application layer; the data acquisition layer is used for acquiring data of a power utilization site; the data transmission layer comprises a plurality of intelligent power terminals installed on a power utilization site, a plurality of user mobile terminals and a communication front-end processor far away from the power utilization site; the data mining layer comprises a power utilization database and a mining server, the power utilization database is installed far away from a power utilization site and used for summarizing and storing power utilization site data received by the communication front-end processor, and the mining server is used for mining and analyzing the power utilization site data stored in the power utilization database according to a data mining model to form an energy efficiency analysis result; and the service application layer is used for sending the energy efficiency analysis result to the user according to the presented energy efficiency analysis result and/or receiving the feedback of the user.

Description

Energy efficiency interaction system based on power line transmission
Technical Field
The invention relates to information interaction of a power system, in particular to an energy efficiency interaction system based on power line transmission.
Background
The energy efficiency interaction is an important aspect of smart grid construction, and the energy efficiency interaction is mainly embodied in two aspects: firstly, demand side (power consumption user, for example enterprise, school, hospital, residential quarter, office building etc.) knows user's energy consumption condition through the on-the-spot monitoring facilities of installation in inside, provides accurate, reliable data for implementing energy consumption statistics, energy-conserving transformation etc.. And secondly, a power supply side (power enterprise) analyzes and evaluates the running state and running efficiency of the regional power distribution network by combining data of a power distribution network automation related information system and customer site monitoring equipment, and develops distribution network transformation which can be promoted, wherein the distribution network transformation comprises line transformation, transformer transformation, low-voltage promotion, feedback of information of a demand side and the like.
Obviously, the energy efficiency interaction is based on information transmission between a power supply side and a demand side, and currently, the main information transmission technologies are as follows: spread spectrum communication, microwave communication, optical fiber communication, local communication, and GPRS communication. The spread spectrum communication has the advantages of strong anti-interference capability and higher transmission efficiency, but has the defect that the two ends of the communication are required to be free of blocking, and the requirement is difficult to meet for an urban distribution network located in a high-rise forest stand, so the spread spectrum communication is generally used in occasions with few communication points, wider environment and longer transmission distance. Microwave communication is a point-to-point wireless transmission mode, is mainly applied to transmission of scheduling automation and comprehensive automation data of a transformer substation, and has the same problem as spread spectrum communication in a distribution network automation system, namely that routing selection is difficult. The optical fiber communication has the main characteristics of high transmission rate, good reliability, no influence of environmental conditions and convenient use and maintenance. However, optical fiber communication requires the installation of optical fiber circuits between the central station and each controllable device, and secondary wiring is disadvantageous for construction due to various factors. Meanwhile, because the distribution network has a plurality of devices which need to be controlled and is quite dispersed, the optical fiber communication technology adopted in the distribution network is large in investment and high in implementation difficulty. The local communication solves the transmission of power production data by utilizing a channel of a public communication network, and has the advantages of no infrastructure construction problem and short opening time. However, the currently adopted DDN special line, GSM carrier wave, GPRS and other modes have the defects of poor communication confidentiality, high operation and maintenance cost, low channel rate and the like to different degrees.
In order to overcome the above-mentioned drawbacks, especially the drawback of requiring a second-order hypothetical communication network, a technology using power line carrier communication, including low voltage communication, medium voltage communication, and high voltage communication, has been developed. However, no matter the alarm clock communication mode, the alarm clock communication mode is limited by various factors, and the power line communication often receives interference of various noises, and particularly under the condition that the power line load is large, the interference is more serious, so that the efficiency of data transmission is influenced.
Disclosure of Invention
In order to solve the problems, the invention provides an energy efficiency interaction system based on power line transmission, which is characterized by comprising a data acquisition layer, a data transmission layer, a data mining layer and a service application layer from bottom to top; the data acquisition layer comprises a plurality of monitoring devices which are arranged on a power utilization site and used for acquiring data of the power utilization site; the data transmission layer comprises a plurality of intelligent power terminals, a plurality of user mobile terminals and a communication front-end processor, wherein the intelligent power terminals are installed on a power utilization site, the communication front-end processor is far away from the power utilization site, the intelligent power terminals and the communication front-end processor are in medium-voltage power line communication connection, and the user mobile terminals and the communication front-end processor are in wireless communication connection; the intelligent power terminal is in communication connection with the monitoring equipment through a low-voltage power line and is used for storing and processing power utilization field data collected by the monitoring equipment and transmitting the processed power utilization field data to the communication front-end processor; the user mobile terminal is used for receiving the early warning information sent by the communication front-end processor; the data mining layer comprises a power utilization database and a mining server which are arranged far away from a power utilization site, and the power utilization database, the mining server and the communication front-end processor can carry out data interaction; the power utilization database is used for summarizing and storing power utilization field data received by the communication front-end processor, and the mining server is used for mining and analyzing the data of the power utilization field data stored in the power utilization database according to the data mining model to form an energy efficiency analysis result; and the service application layer is used for sending the energy efficiency analysis result to the user according to the presented energy efficiency analysis result and/or receiving the feedback of the user.
Furthermore, in the medium-voltage and low-voltage communication processes, the data volume running on the power line is reduced as much as possible in a software control mode, so that the communication load of the power line is reduced, and the transmission quality is ensured.
Detailed Description
The present invention will be described in further detail in order to make the objects, technical solutions and advantages of the present invention more apparent. This description is made by way of example and not limitation to specific embodiments consistent with the principles of the invention, the description being in sufficient detail to enable those skilled in the art to practice the invention, other embodiments may be utilized and the structure of various elements may be changed and/or substituted without departing from the scope and spirit of the invention. The following detailed description is, therefore, not to be taken in a limiting sense.
The invention provides an energy efficiency interaction system based on power line transmission, which comprises a data acquisition layer, a data transmission layer, a data mining layer and a service application layer from bottom to top.
The data acquisition layer comprises a plurality of monitoring devices installed on the power utilization site and is used for acquiring data of the power utilization site.
The data transmission layer comprises a plurality of intelligent power terminals installed on a power utilization site, a plurality of user mobile terminals and a communication front-end processor far away from the power utilization site, the intelligent power terminals and the communication front-end processor are in medium-voltage power line communication connection, and the user mobile terminals and the communication front-end processor are in wireless communication connection (including WiFi or mobile communication networks and the like); the intelligent power terminal is in communication connection with the monitoring equipment through a low-voltage power line and is used for storing and processing power utilization field data collected by the monitoring equipment and transmitting the processed power utilization field data to a communication front-end processor (preferably, the front-end processor is implemented as a software module of a server); the user mobile terminal is used for receiving the early warning information sent by the communication front-end processor (for example, the front-end processor sends the early warning information to the user in a short message, email or WeChat mode).
The data mining layer comprises a power utilization database and a mining server which are arranged far away from a power utilization site, and the power utilization database, the mining server and the communication front-end processor can carry out data interaction; the power utilization database is used for summarizing and storing power utilization field data received by the communication front-end processor, and the mining server is used for mining and analyzing the data of the power utilization field data stored in the power utilization database according to the data mining model to form an energy efficiency analysis result. According to the present invention, the data mining model may employ any data mining model disclosed in the prior art that is adapted to the analysis of power system data, which may be loaded to a mining server and executed to mine and analyze aggregated field data. According to the invention, the mining server is configured to develop the data mining model for the second time so as to obtain more excellent data mining and energy efficiency analysis results.
According to a further preferred embodiment of the present invention, the data mining model is a data mining model established according to international energy saving effect measurement and certification regulations (IPMVP), and the formed energy efficiency analysis result includes, but is not limited to, an analysis result and a display of data such as annual energy saving amount, user electricity saving, annual node income, annual energy saving cost, user benefit ratio, life unit electricity saving cost, life unit capacity saving cost, life benefit ratio, investment recovery period, and the like. According to the preferred embodiment, further, according to the energy efficiency analysis result, the mining server also establishes a standard model database for various electric equipment, perfects various parameters, and finds out an electricity-saving calculation formula for replacing low-efficiency equipment by high-efficiency equipment according to different equipment characteristics, so as to provide decision support for purchasing equipment by electric customers. According to the preferred embodiment, the mining server also compares the data of the communication front-end processor with a set threshold value or similar user data, analyzes the energy consumption condition of the user, automatically compiles an energy efficiency diagnosis report through energy efficiency intelligent diagnosis, provides reference and suggestion for energy-saving reconstruction of the user, and provides verification for the implementation effect of an energy efficiency project. The technical effects of energy efficiency market potential analysis, user energy efficiency project online pre-evaluation, energy efficiency information release and exchange and the like are achieved.
And the service application layer is used for sending the energy efficiency analysis result to the user according to the presented energy efficiency analysis result and/or receiving the feedback of the user. According to the invention, the service application layer comprises a Web application and/or an APP application. That is, the user is allowed to obtain the energy efficiency analysis result (for example, a power consumption statistical histogram in the unit of month, etc.) by means of a Web page or an App program.
According to the invention, the monitoring device further comprises an electric meter, and the electric meter comprises a collection module, a transmission module and a cache queue. The collection module (preferably implemented as an embedded computer program) is used for acquiring power consumption data recorded by the electric meter within a period T1 (for example, 1 day); the transmission module (preferably realized as a special communication chip) is used for transmitting the electricity consumption data to the intelligent power terminal; the buffer queue (preferably implemented as a non-volatile FLASH memory) is used to store the power consumption data that the transmission module failed to send.
According to the present invention, the electricity consumption data includes at least an electricity meter ID, a collection time, and a user's electricity consumption during the time.
Furthermore, the electric meter is an intelligent electric meter and at least comprises a register and a clock, the register is used for storing the power consumption data in the current period acquired by the acquisition module, the clock is used for providing a trigger signal to the transmission module on time (for example, 1 point every morning), and the transmission module reads the power consumption data in the register and sends the data to the intelligent electric power terminal after receiving the trigger signal.
After sending the power consumption data in the register, the transmission module is further configured to perform the following steps:
step S110, if the transmission module does not receive the ACK signal (transmission failure) of the intelligent power terminal, adding the electricity consumption data in the register to the tail of the buffer queue, and turning to step S190; if an ACK signal is received (transmission is successful), the ACK signal is not acknowledged, and the process goes directly to step S120.
Step S120, judging whether the cache queue is Null, and if the cache queue is Null, turning to step S190; otherwise, go to step S130.
Step S130, extracting the head power consumption data of the cache queue, and sending the head power consumption data to the intelligent power terminal; and then proceeds to perform step S110.
And step S190, finishing the operation and waiting for the trigger signal of the next clock.
According to the above operation of the electricity meter of the present invention, the following technical effects can be obtained: firstly, sending in the morning to avoid the peak time of the electric load, so that the sending data is on a no-load power line with higher transmission performance, and the sending success rate is improved; secondly, when the transmission is unsuccessful, the data is not forcibly tried continuously, but is stored in a buffer queue to wait for the opportunity of successful transmission, and when the transmission is successful, the data is not responded to the ACK signal any more, so that the bandwidth is saved in two aspects; thirdly, under the condition of low real-time requirement, the method can also avoid occasional line faults.
According to the invention, the intelligent power terminal is connected to a plurality of electric meters through low-voltage power line communication; the intelligent power terminal comprises a processor, an ammeter ID vector IDVec, a collection time vector TVec, a data matrix DMat and an exception marking matrix ExMat (preferably, the exception marking matrix is a nonvolatile FLASH FLASH memory). Wherein the content of the first and second substances,
IDVec=[idv1,idv2,...,idvn];
TVec=[tv1,tv2,...,tvm];
Figure BDA0001392856580000041
dmijacquiring the number of power consumption transmitted by the jth ammeter (j takes a value from 1 to n) in the ith (i takes a value from 1 to m) acquisition time period; tviTo correspond to dmijThe ith acquisition time period of (c), idvjTo correspond to dmijThe jth electric meter of (1).
When receiving the power consumption data sent by the transmission module of the electric meter, the processor executes the embedded computer program to realize the interaction step of the intelligent electric power terminal and the electric meter, and the method specifically comprises the following steps:
step S210, analyzing the electricity consumption data to obtain an ammeter ID, acquisition time and electricity consumption in the electricity consumption data;
step S220, traversing IDVec and TVec according to the ID of the electric meter and the acquisition time, and determining the corresponding position P of the electricity consumption in the data matrix DMat and the abnormal mark matrix ExMatij
Step S230, if the position P of DMatijIs Null (the description is the newly acquired data or the first few times of the reasonData stored in the buffer queue by sending a failure), the power consumption is written into the position PijAt least one of (1) and (b); judging whether the analyzed power consumption is abnormal, and if so, determining the position P of the ExMatijSet to "1" (indicating abnormal case 1), and then perform step S290;
otherwise, if position P of DMatijNull (indicating that the last ACK sent was not received by the meter), step S250 is executed;
step S250, if the electricity consumption and the position P are analyzedijIf the power consumption is the same or the difference does not exceed a specific threshold, the power consumption data is discarded, and then step S290 is performed;
otherwise, if the difference exceeds a certain threshold, performing step S260;
step S260, the position P of ExMatijThe abnormal flag at (2) is set to "2" (indicating abnormal case 2), and then step S290 is performed;
and step S290, sending an ACK signal to the ammeter for response.
According to the invention, in the intelligent power terminal and the related steps S210-S290, by marking abnormal data, on one hand, possible electricity stealing early warning information can be provided for users, on the other hand, the data quality used by a data mining layer is improved, and the adverse effect of the abnormal data on data mining and analysis is avoided.
Further, the method for determining whether the power consumption analyzed in step S230 is abnormal includes:
step S232, judging whether the analyzed electricity consumption exceeds 3 times of the recommended value, if so, executing step S234, and if not, judging the electricity consumption is normal;
and step S234, judging whether the analyzed electricity consumption exceeds 2 times of the maximum value of the historical normal electricity consumption, if so, judging the electricity consumption to be abnormal, and if not, judging the electricity consumption to be normal.
By executing the steps S232 and S234, the present invention adopts the manner as tolerant as possible for the determination of the abnormality in a single time period, for example, the maximum value of the power consumption is used as the determination basis instead of the average value of the power consumption, so as to avoid the erroneous determination that the normal power consumption of the user is regarded as abnormal, thereby causing unnecessary stress to the user. The recommended value is an estimated value of the power consumption of the user predicted according to experience, and is generally related to parameters such as the area of a corresponding area of the electric meter, resident population and the like. In one embodiment, the recommended values also differ depending on seasons and regions, for example, the recommended value is higher in summer due to the use of air conditioners, the recommended value is lower in areas with warm air in winter, and the recommended value is higher in areas without warm air.
According to the invention, further, the processor of the intelligent power terminal executes an embedded computer program to realize the interaction step between the intelligent power terminal and the communication front-end processor, and the method specifically comprises the following steps:
step S310, reading the data vector DVec ═ dv in the current period from the DMat1,dv2,...,dvn](i.e., the amount of power uploaded by the n meters during the current cycle).
Step S320, calculating the total electricity consumption in the current period
Figure BDA0001392856580000051
Wherein n is the number of the electric meters, and k is the number of non-Null and non-abnormal data in the DVec; when dviIs Null or abnormal, dv'i0, otherwise dv'i=dvi
And step S330, sending the total electricity consumption Es, the abnormal electricity consumption data and the abnormal mark to the communication front-end processor.
According to the invention, further, during the statistical period T2 (for example, 1 month), the processor of the intelligent power terminal executes the embedded computer program to complete the following steps:
step S410, calculating [ e ] as the power consumption vector EVec in the statistical period1,e2,...,en]Wherein
Figure BDA0001392856580000061
j has a value range of 1 … m; when dmijIs Null or abnormal, dv'i0, otherwise dm'ij=dmij
And step S420, transmitting the power consumption vector EVec to the communication front-end processor.
The present invention implements steps S310-S330 and steps S410-S420 based on at least the following considerations: first, only the data of the total electricity consumption in the T1 period (for example, daily) and the statistical data of the electricity consumption of each user in the T2 period (for example, monthly), which are more concerned by the communication front-end processor and the data mining layer, are sent, so that the transmission load of the medium-voltage power line is reduced; secondly, when the total amount is calculated, the Null and abnormal data are subjected to prediction processing, so that the accuracy of subsequent processing of the data is ensured.
According to the present invention, further, the intelligent power terminal further includes an update flag vector UpVec ═ up corresponding to the rows of the data matrix DMat1,up2,...,upm]If any value in the jth line in DMat is updated, the corresponding update is marked upjIs placed in 1. Step S330 is followed by:
step S340, scanning the update flag vector UpVec, if the value of one update flag in the UpVec is 1, recalculating the total power consumption in the period corresponding to the update flag, and sending the recalculated total power consumption to the communication front-end processor.
Step S350, after receiving the confirmation signal of the communication front-end processor, resets the value of the update flag to 0.
Through the step S340 and the step S350, when the electricity consumption data in the buffer queue is transmitted to the intelligent power terminal, the update flag vector is updated, so that the total electricity consumption in the period is calculated again, and the data of the communication front-end processor is updated, so as to ensure that the communication front-end processor obtains the data as accurate as possible.
According to the invention, when the front-end communicator receives the data with the abnormal mark of '1', the front-end communicator sends early warning information to the user in real time so as to prompt the user that the situation of electricity stealing possibly exists.
According to a further preferred embodiment of the present invention, a medium voltage power line carrier transmission model is established according to medium voltage power line channel noise characteristics, a medium voltage channel attenuation model is established according to measurement and analysis of channel attenuation characteristics, and a connection mode and a topology structure of a medium voltage power line communication connection between the intelligent power terminal and the communication front-end processor are determined according to the medium voltage power line carrier transmission model and the medium voltage channel attenuation model. The establishment of the medium-voltage power line carrier transmission model and the medium-voltage channel attenuation model specifically comprises the following steps:
according to the topological structure and the basic characteristics of the medium-voltage power line channel, a basic channel model based on the physical characteristics of the medium-voltage power line channel is established, and main parameters and a measuring method for characterizing the channel characteristics are determined.
The noise characteristics are deeply and comprehensively researched, and the noise level of a medium-voltage power network channel, various distribution characteristics of noise and the relation between the power grid operation state and the noise characteristics are counted.
A statistical model of background noise in channel noise is established, and the adaptability of the model is verified through Pearson x 2 test.
Impedance characteristics of the medium voltage power network are determined and impedance matching of the communication coupling device impedance parameters and the channel is optimized in accordance with the impedance specifics. Research experiments have shown that the impedance characteristics of a medium voltage power line channel are related to the structure and configuration of the system. Below the 1MHz band, the dynamic range of the input impedance is tens to hundreds of ohms. As the frequency increases, the dynamic range gradually decreases, eventually approaching the order of tens of ohms and being substantially purely resistive. The input impedance at each node of the network is different but the characteristic impedance is substantially the same. The input impedance of the 10kV power line channel does not change basically along with the power frequency load.
In the embodiment of the invention, the communication between the intelligent power terminal and the communication front-end processor is configured according to the power line carrier transmission model and the medium-voltage channel attenuation model, so that the problem of interference of the medium-voltage carrier communication channel can be effectively relieved under the condition of the same data transmission quantity, and the high-speed communication transmission performance of the equipment is met.
According to a further preferred embodiment of the present invention, the real-time sharing of the power quality data of the power supply line between the intelligent power terminal and the communication front-end processor further comprises: the real-time data of the voltage, the load, the distribution transformer load rate, the distribution transformer heavy overload condition, the three-phase unbalance, the harmonic wave, the power factor, the power supply radius and the like of the line. And the mining server mines and analyzes the power quality data to obtain an analysis result. One exemplary embodiment of the analysis results includes: and judging that the power supply side and the demand side of the power supply line need to be rectified and modified together, and providing a referential rectifying and modifying scheme.
Moreover, other implementations of the invention will be apparent to those skilled in the art from consideration of the specification of the invention disclosed herein. The embodiments and/or aspects of the embodiments can be used in the systems and methods of the present invention alone or in any combination. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims.

Claims (3)

1. An energy efficiency interaction system based on power line transmission is characterized by comprising a data acquisition layer, a data transmission layer, a data mining layer and a service application layer from bottom to top;
the data acquisition layer comprises a plurality of monitoring devices installed on a power utilization site and is used for acquiring data of the power utilization site;
the data transmission layer comprises a plurality of intelligent power terminals, a plurality of user mobile terminals and a communication front-end processor, wherein the intelligent power terminals are installed on a power utilization site, the communication front-end processor is far away from the power utilization site, the intelligent power terminals and the communication front-end processor are in medium-voltage power line communication connection, and the user mobile terminals and the communication front-end processor are in wireless communication connection; the intelligent power terminal is in communication connection with the monitoring equipment through a low-voltage power line and is used for storing and processing the power utilization field data acquired by the monitoring equipment and transmitting the processed power utilization field data to the communication front-end processor; the user mobile terminal is used for receiving the early warning information sent by the communication front-end processor;
the data mining layer comprises a power utilization database and a mining server which are installed far away from a power utilization site, and the power utilization database, the mining server and the communication front-end processor can carry out data interaction; the power utilization database is used for summarizing and storing power utilization field data received by the communication front-end processor, and the mining server is used for mining and analyzing the data of the power utilization field data stored in the power utilization database according to a data mining model to form an energy efficiency analysis result;
the business application layer is used for sending the energy efficiency analysis result to a user according to the presented energy efficiency analysis result and/or receiving the feedback of the user;
the monitoring equipment comprises an ammeter, wherein the ammeter comprises an acquisition module, a transmission module and a cache queue;
the acquisition module is used for acquiring power consumption data recorded by the electric meter within a period T1;
the transmission module is used for transmitting the electricity consumption data to the intelligent electric power terminal;
the buffer queue is used for storing the power consumption data which is failed to be sent by the transmission module;
the electricity consumption data comprises an ID of the electricity meter, acquisition time and electricity consumption of a user in the acquisition time;
the electric meter further comprises a register and a clock, the register is used for storing the power consumption data in the current period acquired by the acquisition module, the clock is used for providing a trigger signal to the transmission module on time, and the transmission module reads the power consumption data in the register and sends the power consumption data to the intelligent electric power terminal after receiving the trigger signal;
after sending the power consumption data in the register, the transmission module is further configured to perform the following steps:
step S110, if the transmission module does not receive the ACK signal of the intelligent electric power terminal, adding the electricity consumption data in the register to the tail of the buffer queue, and turning to step S190; if the ACK signal is received, the ACK signal is not responded, and the process goes directly to step S120;
step S120, judging whether the cache queue is Null, and if the cache queue is Null, turning to step S190; otherwise, go to step S130;
step S130, extracting the head power consumption data of the cache queue, and sending the head power consumption data to the intelligent power terminal; then go to execute step S110;
step S190, finishing the operation, and waiting for the trigger signal of the next clock;
the intelligent power terminal is connected to a plurality of electric meters through low-voltage power line communication; the intelligent power terminal comprises a processor, an ammeter ID vector IDVec, a collection time vector TVec, a data matrix DMat and an abnormal mark matrix ExMat corresponding to the data matrix DMat;
IDVec=[idv1,idv2,...,idvn];
TVec=[tv1,tv2,...,tvm];
Figure FDA0002670940640000021
dmijthe power consumption number transmitted by the jth ammeter in the ith acquisition time period; tviTo correspond to dmijThe ith acquisition time period of (c), idvjTo correspond to dmijThe jth electric meter of (1); wherein, the value range of i is 1 to m, and the value range of j is 1 to n;
when receiving the power consumption data sent by the transmission module of the electric meter, the processor executes the embedded computer program to realize the interaction step of the intelligent electric power terminal and the electric meter, and the method specifically comprises the following steps:
step S210, analyzing power consumption data to obtain an ammeter ID, acquisition time and power consumption in the power consumption data;
step S220, traversing IDVec and TVec according to the ID of the electric meter and the acquisition time, and determining the corresponding position P of the electricity consumption in the data matrix DMat and the abnormal mark matrix ExMatij
Step S230, if the position P of DMatijIs Null, then the power usage is written to location PijAt least one of (1) and (b); judging whether the analyzed power consumption is abnormal, and if so, determining the position P of the ExMatijIs set to "1", and then step S290 is performed;
otherwise, if position P of DMatijIf it is not Null, go to step S250;
step S250, if the electricity consumption and the position P are analyzedijWhere the electricity usage is the same or differs by no more than a certain threshold, the electricity usage data is discarded and thenStep S290 is executed;
otherwise, if the difference exceeds a certain threshold, performing step S260;
step S260, the position P of ExMatijThe abnormality flag at (2) is set to "2", and then step S290 is performed;
and step S290, sending an ACK signal to the ammeter for response.
2. The energy-efficient interactive system of claim 1, wherein the business application layer comprises a Web application and/or an APP application.
3. The energy efficiency interactive system according to claim 1, wherein the method for determining whether the power consumption analyzed in step S230 is abnormal includes:
step S232, judging whether the analyzed electricity consumption exceeds 3 times of the recommended value, if so, executing step S234, and if not, judging the electricity consumption is normal;
and step S234, judging whether the analyzed electricity consumption exceeds 2 times of the maximum value of the historical normal electricity consumption, if so, judging the electricity consumption to be abnormal, and if not, judging the electricity consumption to be normal.
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