CN111966664A - Multi-user-side comprehensive energy monitoring, tracking and analyzing system - Google Patents

Multi-user-side comprehensive energy monitoring, tracking and analyzing system Download PDF

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CN111966664A
CN111966664A CN202010789694.7A CN202010789694A CN111966664A CN 111966664 A CN111966664 A CN 111966664A CN 202010789694 A CN202010789694 A CN 202010789694A CN 111966664 A CN111966664 A CN 111966664A
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energy
energy consumption
analysis
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module
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刘军
钟晓聪
黎智文
钟超军
万健辉
罗志明
钟永燃
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Guangdong Topway Network Co ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
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    • G06F16/21Design, administration or maintenance of databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315Needs-based resource requirements planning or analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393Score-carding, benchmarking or key performance indicator [KPI] analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply
    • 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
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00Energy efficient computing, e.g. low power processors, power management or thermal management
    • 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
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    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P80/00Climate change mitigation technologies for sector-wide applications
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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
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/80Management or planning
    • Y02P90/82Energy audits or management systems therefor

Abstract

The invention relates to a multi-user-side comprehensive energy monitoring, tracking and analyzing system, which comprises an energy consumption comprehensive analysis module, a tracking and analyzing module and a tracking and analyzing module, wherein the energy consumption comprehensive analysis module is used for analyzing and displaying current total energy consumption information of an enterprise; the online monitoring module is used for monitoring the energy consumption data and information of enterprises in real time and paying attention to the energy consumption problem and hidden danger needing to be processed in real time; the energy consumption query module is used for providing a real-time energy consumption data query function of each level of energy consumption unit; the energy consumption cost analysis module is used for counting and analyzing the energy consumption cost and supporting trend analysis, comparative analysis and ranking analysis of the energy consumption cost; the energy consumption analysis and prediction module is used for carrying out prediction analysis on the energy consumption condition based on the associated data influencing the energy consumption; the energy efficiency analysis module is used for carrying out statistical analysis on the energy efficiency KPI indexes and the peak-to-valley power utilization conditions; the power load analysis module is used for managing the power load condition of the enterprise; and the energy plan actual performance analysis module is used for analyzing and comparing deviation values and deviation rates of actual energy consumption and plan energy consumption every year.

Description

Multi-user-side comprehensive energy monitoring, tracking and analyzing system
Technical Field
The invention relates to the field of energy management, in particular to a multi-user-side comprehensive energy monitoring, tracking and analyzing system.
Background
With the continuous promotion of smart power grid construction and power market reformation work, on one hand, power demand side management improves demand elasticity and stabilizes fluctuation caused by intermittent new energy accessed to a power grid by virtue of the property that the power demand side management participates in a competitive power market in an economic way; on the other hand, a large amount of energy space is provided for the society, energy conservation and emission reduction are promoted while the energy utilization efficiency is improved, and green development is promoted. In order to further enhance the demand side management taking users as the center, based on the power demand side management platform, a comprehensive energy monitoring, tracking and analyzing system on a multi-user side needs to be established, application functions such as management and energy monitoring are provided for the users, and the like, so that the data value is mined, and the value of services is increased.
Disclosure of Invention
The invention aims to overcome at least one defect of the prior art, and provides a multi-user-side comprehensive energy monitoring, tracking and analyzing system which is used for realizing management and energy consumption monitoring, can find the running problem of an energy consumption system through online monitoring of user energy consumption, standardizes user energy consumption habits, further realizes resource optimal configuration, promotes energy conservation by using a management means, conforms to the change trend of user requirements, and improves user power consumption service experience.
The technical scheme adopted by the invention is that a multi-user-side comprehensive energy monitoring, tracking and analyzing system comprises: an energy consumption comprehensive analysis module, an online monitoring module, an energy consumption inquiry module, an energy consumption cost analysis module, an energy consumption analysis and prediction module, an energy efficiency analysis module, an electricity load analysis module and an energy plan actual performance analysis module, wherein,
the energy consumption comprehensive analysis module is used for analyzing and displaying the current energy consumption information of the enterprise, wherein the energy consumption information of the enterprise comprises energy consumption and cost curves of different types of energy at different time granularities, energy consumption ranking of each level of energy consumption units and main energy consumption equipment, KPI (key performance indicator) information, latest emergency abnormal alarm information and power grid pushing information;
the online monitoring module is used for monitoring the energy consumption data and information of enterprises in real time and paying attention to the energy consumption problem and hidden danger needing to be processed in real time; the energy consumption query module is used for providing various real-time energy consumption data query functions of energy consumption units at all levels for enterprises;
the energy consumption cost analysis module is used for carrying out statistical analysis on energy consumption cost according to enterprises, departments and typical energy consumption equipment and supporting trend analysis, comparative analysis and ranking analysis on the energy consumption cost;
the energy consumption analysis and prediction module is used for carrying out prediction analysis on the energy consumption conditions of all levels of energy consumption units based on the associated data influencing the energy consumption so as to support the prediction of the total energy consumption of the short-term or medium-term enterprises;
the energy efficiency analysis module is used for carrying out statistical analysis on the energy efficiency KPI indexes and the peak-to-valley power utilization conditions, so that the energy efficiency of enterprises can be quantitatively managed, and the energy efficiency of the enterprises can be digitally evaluated;
and the power load analysis module is used for managing the power load conditions of the enterprise, wherein the power load conditions comprise load characteristic analysis, load prediction and demand management.
And the energy plan actual performance analysis module is used for analyzing and comparing deviation values and deviation rates of actual energy consumption and plan energy consumption every year.
The invention relates to a multi-user-side comprehensive energy monitoring, tracking and analyzing system, which mainly focuses on comprehensive energy monitoring management and specifically comprises a plurality of modules: the energy consumption comprehensive analysis module displays the current energy consumption and energy consumption cost change trend of an enterprise, energy consumption ranking of each level of energy consumption unit and main energy consumption equipment, KPI (key performance indicator) information, latest emergency abnormal alarm information, power grid pushing information and the like according to different time granularities (day, month, season, year and the like); the online monitoring module monitors the energy consumption data of the enterprise in real time, pays attention to the energy consumption problem and hidden danger needing to be processed in real time, and feeds back monitoring information such as an energy consumption metering network diagram of the enterprise, a motion working condition, real-time abnormal alarm information, terminal meter communication condition information, meter acquisition integrity rate statistical information and the like in time; the energy consumption query module is used for analyzing trend curves and querying data to derive electric energy, water energy, gas energy and heat energy through selecting energy consumption units and energy data, the energy consumption data can be displayed in a maximum mode, a minimum mode and an average value mode and can be compared at the same time, and real-time working condition data can be queried only in real time; the energy consumption cost analysis module is used for carrying out statistical analysis on energy consumption cost according to enterprises, departments, typical energy consumption equipment and the like, supporting trend analysis, comparative analysis and ranking analysis on the energy consumption cost, calculating average electricity price in a period of time based on peak-to-valley electricity price and electric quantity, and supporting trend analysis, comparative analysis and ranking analysis on the average electricity price; the energy consumption analysis and prediction module is used for establishing an associated energy model of energy consumption and associated data influencing energy consumption based on the associated data influencing energy consumption (such as weather, time, raw materials, yield, equipment utilization rate, production shift and other external factors influencing the energy consumption), predicting the energy consumption of users, departments and typical energy consumption equipment for a period of time (one day, one week and one month) in the future by using a mathematical method based on the model, and supporting the comparative analysis of a predicted energy value and an actual value; the energy efficiency analysis module is used for carrying out quantitative management on the energy efficiency of the enterprise and carrying out digital evaluation on the energy efficiency of the enterprise by analyzing the trend of the energy efficiency KPI indexes, comprehensively evaluating the energy efficiency, analyzing the peak-to-valley power utilization condition, analyzing the energy balance and the like; the power load analysis module is used for managing and analyzing the current total power load information of the enterprise, wherein the current total power load information comprises electric quantity and load capacity trends of different time granularities, actual values of reference time periods and load prediction of a certain period of time in the future, demand information of the next month obtained according to the load prediction and the like; the energy plan actual performance analysis module analyzes and presents deviation values and deviation rates of actual energy consumption and plan energy consumption through graphs and table forms, and effectively reflects annual energy consumption trends, so that plan energy consumption is made more pertinently, and the purpose of overall planning energy consumption and energy conservation is achieved. The invention establishes a multi-user-side comprehensive energy monitoring, tracking and analyzing system based on a power demand side management platform, realizes management and energy consumption monitoring, can find the running problem of an energy consumption system through online monitoring of the energy consumption of a user, standardizes the energy consumption habit of the user, further realizes resource optimal configuration, promotes energy conservation by using a management means, conforms to the variation trend of the user demand, improves the experience of the user power consumption service, and has important significance for realizing friendly interaction and mutual coordination of a power supply, a power grid and the user resources.
Further, the energy consumption comprehensive analysis module comprises: an energy trend analysis unit, an energy consumption and cost ranking unit, a KPI index unit,
the energy trend analysis unit is used for analyzing the current energy consumption and energy cost change trend of the enterprise according to different time granularity and synchronization comparison;
the energy consumption and cost ranking unit is used for ranking the energy consumption and energy cost of each level of energy consumption unit and main energy consumption equipment; and the KPI unit is used for checking the relevant index value according to the preset KPI.
The energy consumption comprehensive analysis module specifically comprises: the energy trend analysis unit is used for displaying the current energy consumption and energy consumption cost change trend of the enterprise according to different time granularity (day, month, season, year and the like) and support synchronous comparison analysis (the energy comprises comprehensive energy, electric energy, hydroenergy, gas energy, heat energy and carbon emission, wherein the carbon emission is not an energy type but an emission index, and the carbon emission can be obtained by conversion and calculation of the comprehensive energy consumption and is treated as the energy in the system); the energy consumption ranking unit ranks the energy consumption and the energy cost of each level of energy consumption unit and main energy consumption equipment according to different time granularities, wherein the energy consumption ranking and the cost ranking are included, the energy of the energy consumption ranking is comprehensive energy, electric energy, hydroenergy, gas energy, heat energy and carbon emission, and the energy of the cost ranking is comprehensive energy, electric energy, hydroenergy, gas energy and heat energy; and the KPI unit is used for presetting a plurality of KPI, and reflecting index values, rating values, recent industry benchmarking values, rating deviation values and rating deviation rates according to different KPI analysis year benchmarking analysis graphs. According to the invention, through the energy trend analysis unit, the energy consumption and cost ranking unit and the KPI unit in the energy consumption comprehensive analysis module, the current total energy consumption condition of an enterprise can be visually displayed from multiple dimensions through multiple expression forms such as graphs or tables, and the management and the scheduling of power grid resources are more favorably and comprehensively planned.
Further, the online monitoring module comprises: the system comprises an energy consumption online monitoring unit, an abnormal energy consumption monitoring unit, an acquisition integrity rate monitoring unit and an energy consumption online monitoring unit, wherein the energy consumption online monitoring unit is used for checking an enterprise energy consumption online monitoring network diagram, checking a meter historical energy consumption abnormal record and checking meter real-time energy consumption data;
the abnormal energy monitoring unit is used for monitoring the energy utilization alarm condition of each level of energy utilization unit in real time;
and the acquisition integrity monitoring unit is used for counting the acquisition integrity and monitoring in real time according to the type of the screening meter, the connection state, the data type, the time type and the time period.
The on-line monitoring module needs to pay attention to the energy utilization problem and hidden danger processed in real time, and displays the real-time energy utilization condition in a chart form, wherein the on-line monitoring module specifically comprises the following components: the energy utilization online monitoring unit provides a graphical real-time energy utilization monitoring interface for enterprise energy management personnel, and an enterprise energy utilization metering network diagram (comprising 1 an energy supply circuit 2, energy utilization units at all levels 3, metering equipment (a gateway table and a non-gateway table) 4, metering network and other objects) is respectively displayed for different energy types in the form of a logic diagram or a schematic diagram, and the running state and the real-time energy utilization information of the energy utilization equipment are displayed in the diagram; the abnormal energy consumption monitoring unit monitors energy consumption alarm information of each level of energy consumption units in real time, displays the energy consumption alarm information in a table form, supports statistics and filtering according to alarm types, alarm objects, processing states, alarm occurrence time and the like, and supports batch online processing of alarms; and the acquisition integrity monitoring unit monitors the acquisition integrity of the energy data in real time. The energy consumption state of an enterprise is monitored on line in real time through the energy consumption on-line monitoring unit, powerful guarantee is provided for processing of energy consumption problems and hidden dangers, the alarm information is subjected to statistical analysis and processing through the abnormal energy consumption monitoring unit, the alarm problems can be fed back in a detailed and traceable mode, the energy consumption data is accurately and conveniently acquired through the acquisition integrity monitoring unit, and the basis of data analysis and application of the system is guaranteed.
Further, the energy consumption cost analysis module comprises: the energy consumption cost analysis unit is used for analyzing the energy consumption cost in the time range according to the selected time range;
the energy consumption cost trend unit is used for analyzing the cost change trend of electricity, water, gas and heat in the time range according to the selected time range;
the unit cost distribution unit of energy consumption of each level is used for counting the comprehensive energy, electric energy, water energy, gas energy, heat energy and carbon emission of the unit of energy consumption of each level according to different time granularities;
the energy consumption cost analysis module can perform statistical analysis on energy consumption cost, perform trend analysis, comparative analysis and ranking analysis on the energy consumption cost, and calculate average electricity price based on peak-valley electricity price and electric quantity, wherein the energy consumption cost analysis module specifically comprises the following steps: the trigger energy cost analysis unit selects a time range needing analysis, and calculates the energy cost in the time range through the trigger energy cost analysis unit; the energy consumption cost trend unit uses a curve graph to represent the cost change curve of electricity, water, gas and heat according to the energy consumption cost in the selected time range; and the unit cost analysis unit for each level of energy consumption unit analyzes and ranks the comprehensive energy, electric energy, hydroenergy, gas energy, heat energy and carbon emission consumption of each level of energy consumption unit according to the current different time granularity (the current day, the current month, the current season and the current year), and displays the comprehensive energy, electric energy, hydroenergy, gas energy, heat energy and carbon emission consumption by a stacked histogram. The energy consumption cost analysis unit, the energy consumption cost trend unit and the energy consumption unit cost distribution unit are triggered to analyze and count the energy of each level of energy consumption units of an enterprise, so that the energy is managed in a planned way, the optimal allocation of resources is realized, and the aim of saving energy is promoted.
Further, the energy consumption analysis prediction module comprises: the energy utilization trend analysis unit is used for carrying out comparative analysis on the trend of the energy sources according to the energy source types or the selected time, wherein the energy source types comprise electric energy, water energy, gas energy, heat energy and carbon emission;
the energy consumption comparison and analysis unit is used for comparing the reference object with the comparison object according to the acquired energy consumption data;
the energy structure analysis unit is used for judging the comparison trend of the energy structures in the same time period according to the acquired energy consumption data and acquiring the energy consumption proportion of an enterprise;
and the energy consumption prediction unit is used for carrying out comparative analysis on the energy consumption according to the selected time and carrying out energy prediction analysis from days, months, seasons and years.
The energy consumption analysis and prediction module predicts the future energy consumption based on the associated data, specifically performs prediction analysis through a plurality of units, and comprises the following steps: the energy utilization trend analysis unit selects different time granularities to carry out future energy trend analysis aiming at the change trend of the comprehensive energy, electric energy, water energy, gas energy, heat energy and carbon emission consumption; energy consumption comparison and analysis are carried out, energy consumption data of an enterprise are obtained, the comparison trend of a certain energy reference object and a comparison object of the enterprise in a certain period of time is helped to be judged, and the energy consumption condition of the enterprise is comprehensively displayed; the energy structure analysis unit is used for checking the energy (electricity, gas, heat and oil) consumption structure of the enterprise, displaying the energy in the forms of a bar chart, a pie chart and a table, and selecting different time granularities (day, month, season and year) for displaying; the energy consumption prediction unit selects the prediction period and the reference period, then selects the time period, and then performs energy consumption prediction analysis from days, months, seasons and years. According to the energy consumption trend analysis unit, the energy consumption comparison and analysis unit, the energy structure analysis unit and the energy consumption prediction unit, the energy consumption in a period of time can be predicted and judged based on historical data and associated data, and planning and overall planning and scheduling of energy consumption in the next quarter or the next strategic time by enterprises are facilitated.
Further, the energy efficiency analysis module comprises: an energy balance analysis unit, a benchmarking analysis unit, a peak-valley analysis unit and an energy efficiency evaluation unit,
the energy balance analysis unit is used for analyzing the energy balance data in the selected time range through a morsyl diagram;
the benchmarking analysis unit is used for comparing and analyzing the KPI indexes of the enterprise with other advanced enterprise energy efficiency indexes of the same line to obtain the KPI index difference;
the peak-to-valley analysis unit is used for analyzing the peak-to-valley electricity quantity ratio analysis and the peak-to-valley electricity price ratio analysis by day;
and the energy efficiency evaluation and analysis unit is used for analyzing the energy efficiency KPI indexes and the load characteristic indexes in the time period.
The energy efficiency analysis module obtains an energy balance moroks diagram in a selected time range through an energy efficiency balance analysis unit, and visually analyzes energy; through the benchmarking analysis unit, KPI indexes of an enterprise are compared with energy efficiency indexes of other advanced enterprises in the same industry to obtain the size of an index difference, so that targeted adjustment is realized; by the peak-valley analysis unit, the power consumption unit, the reference electric charge, the peak-valley time-sharing histogram, the peak-valley electric quantity ratio analysis and the peak-valley electric price ratio analysis can be checked according to the day; by the energy efficiency evaluation analysis unit, the energy efficiency KPI index and the load characteristic index in the selected time period can be analyzed by using the histogram and the graph. The invention can make effective judgment on energy evaluation and comparison from different analysis dimensions, and provides more comprehensive support for a service platform for comprehensive energy monitoring.
Further, the power load analysis module includes: a load characteristic analysis unit, a load prediction unit, a demand prediction unit,
the load characteristic analysis unit is used for displaying and analyzing the power utilization tendency and the load characteristic indexes of the enterprise by extracting the load capacity and lighting the enterprise, wherein the load characteristic indexes comprise a load rate, a peak-valley difference rate and an average power factor;
the load prediction unit is used for obtaining the load prediction condition of an enterprise by comparing the actual value of the electric load in the selected time period with a preset load prediction value;
and the demand forecasting unit is used for calculating and forecasting the next month demand according to the maximum load of the reference year and calculating the next month basic electricity fee according to the capacity, the current-period declaration demand and the forecasted next month declaration demand.
The power load analysis module can display the total power load information of an enterprise, and comprises the following steps: the load characteristic analysis unit shows and analyzes the enterprise power utilization trend by extracting the load capacity and the electric quantity of the enterprise, and simultaneously calculates the load characteristic indexes of the enterprise, and comprises the following steps: the load rate, the peak-valley difference rate and the average power factor are displayed in a pie chart form together with the homonymy data; the load prediction unit selects a prediction period and a reference time interval, then selects time intervals, and then performs trend comparison analysis on the actual value and the predicted value of the electric load, so that the load prediction can be performed from day, month, season and year; the demand prediction unit predicts the declaration quantity of the next month according to the monthly maximum load of the selected reference time interval, and mainly comprises four steps: 1. selecting time as year, displaying the maximum load of each month history in the current year, displaying the maximum load of the month in the current selected year by using a bar graph of a left graph, and simultaneously displaying the demand data of the current month and the transformer capacity data on the right graph, 2, inputting the early warning demand and the next-month maximum production operating rate, 3, simulating and predicting demand and report, 4, estimating the next-month basic electricity charge according to the predicted demand and report, and mainly comprising three forms: and comparing the three electric charge values by adopting capacity calculation, current declaration demand calculation and suggestion declaration demand calculation to obtain the most cost-effective declaration mode. The method helps the enterprise to judge the comparison trend of the same object after the prediction period and the reference period are selected in a certain period of time by analyzing the load characteristic indexes of the enterprise and the load prediction and demand prediction, and comprehensively displays the electric quantity prediction condition of the enterprise in a certain period of time.
Further, the query module performs trend analysis on the selected data types through selection of energy consumption units and energy sources, and the selected data types comprise table code data and real-time working condition data query.
The invention selects energy unit and energy data, analyzes the trend curve of the selected data type and inquires and derives the data, and the data type is divided into two types: the method comprises the steps of inquiring table code data and real-time working condition data, wherein the table code data can be inquired in real time and in a time-sharing amount, and the displayed curve graphs have two types, namely the real-time table code data and the time-sharing table code data. The invention carries out more detailed and deep measurement on the table codes and the real-time working condition data of different energy sources through the query module, and provides powerful data support for the comprehensive energy source monitoring, tracking and analyzing system.
The enterprise energy consumption statistics system further comprises a report generation module, wherein the report generation module is used for counting the enterprise energy consumption condition according to different report types, energy types and report periods.
The invention discloses a multivariate user-side comprehensive energy monitoring, tracking and analyzing system, which further comprises a report generating module, wherein the report types comprise energy consumption, energy consumption cost, online state, acquisition condition, abnormal alarm statistics, abnormal alarm detail, load rate, average power factor, unit output value energy consumption and the like, and according to the selection of the report types, the energy types, the report periods and the time periods, the energy consumption statistics of enterprises, all levels of energy consumption units and all equipment is carried out, so that the effective management of the system is realized.
Compared with the prior art, the invention has the beneficial effects that: the invention establishes a multi-user-side comprehensive energy monitoring, tracking and analyzing system based on a power demand side management platform, realizes management and energy consumption monitoring, can find the running problem of an energy consumption system through online monitoring of the energy consumption of a user, standardizes the energy consumption habit of the user, further realizes resource optimal configuration, promotes energy conservation by using a management means, conforms to the variation trend of the user demand, improves the experience of the user power consumption service, and has important significance for realizing friendly interaction and mutual coordination of a power supply, a power grid and the user resources.
Drawings
FIG. 1 is a diagram of a system network architecture in terms of hardware deployment.
Fig. 2 is a block diagram of an embodiment of the present invention.
Detailed Description
The drawings are only for purposes of illustration and are not to be construed as limiting the invention. For a better understanding of the following embodiments, certain features of the drawings may be omitted, enlarged or reduced, and do not represent the size of an actual product; it will be understood by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted.
On the basis of the existing architecture of a power demand side management platform, the comprehensive energy monitoring, tracking and analyzing system for the multiple user sides expands the application functions of comprehensive energy monitoring and analyzing and data service for the multiple user sides, provides a unified application platform for demonstration, provides an access and equipment remote control platform for the comprehensive energy data of different items for multiple users (industrial, commercial and residents) in each test point market on one hand, and realizes safe, stable and reliable acquisition and storage of energy data of users; and on the other hand, the system provides automatic platform support for the test point city and provides data, information and service support for the test point city information push application.
The embodiment of the invention provides a multi-user-side comprehensive energy monitoring, tracking and analyzing system which is composed of two aspects of hardware deployment and software functions, wherein a system network structure diagram in the aspect of hardware deployment is shown in figure 1 and mainly comprises an IDC network, a DMZ area network, a power private network and the Internet, the main part of the system is deployed in a safe IDC network and the DMZ network of a provincial dispatching machine room, and the system is based on an internal and external network data safety platform, realizes the butt joint of the IDC network and the DMZ network through the power private network and is connected with the Internet through the DMZ area.
Examples
As shown in fig. 2, an embodiment of the present invention provides a multi-user-side integrated energy monitoring, tracking and analyzing system, which includes: an energy consumption comprehensive analysis module, an online monitoring module, an energy consumption inquiry module, an energy consumption cost analysis module, an energy consumption analysis and prediction module, an energy efficiency analysis module and an electricity consumption load analysis module, wherein,
the energy consumption comprehensive analysis module is used for analyzing and displaying the current energy consumption information of the enterprise, wherein the energy consumption information of the enterprise comprises energy consumption and cost curves of different types of energy at different time granularities, energy consumption ranking of each level of energy consumption units and main energy consumption equipment, KPI (key performance indicator) information, latest emergency abnormal alarm information and power grid pushing information;
preferably, the energy consumption comprehensive analysis module comprises: an energy trend analysis unit, an energy consumption and cost ranking unit, a KPI index unit,
the energy trend analysis unit is used for analyzing the current energy consumption and energy cost change trend of the enterprise according to different time granularity and synchronization comparison;
the energy consumption cost trend analysis unit is used for checking a power consumption change trend chart of enterprise energy (comprehensive energy, electric energy, water energy, gas energy and heat energy), selecting different time granularities (the current day, the current month, the current season and the current year), and supporting the simultaneous comparison and display;
the energy consumption and cost ranking unit is used for ranking the energy consumption and energy cost of each level of energy consumption unit and main energy consumption equipment, and specifically, the types are as follows: energy consumption ranking and cost ranking. The energy sources of the energy consumption ranking are: energy, electric energy, hydroenergy, gas energy, heat energy and carbon emission are synthesized, the ranking is divided into secondary energy consumption unit ranking and main energy consumption equipment ranking, energy consumption analysis can be carried out from day, month, season and year, and the energy of cost ranking is divided into: energy sources, electric energy, water energy, gas energy and heat energy are integrated, the ranking is divided into secondary energy utilization unit ranking and main energy utilization equipment ranking, and energy consumption analysis can be performed from day, month, season and year (the date is selected according to the energy trend analysis function module);
and the KPI unit is used for checking the relevant index value according to the preset KPI.
The online monitoring module is used for monitoring the energy consumption data and information of enterprises in real time and paying attention to the energy consumption problem and hidden danger needing to be processed in real time;
preferably, the online monitoring module comprises: an energy consumption on-line monitoring unit, an abnormal energy consumption monitoring unit and an acquisition integrity monitoring unit,
the energy consumption online monitoring unit is used for checking an enterprise energy consumption online monitoring network diagram, checking the historical energy consumption abnormal record of the meter and checking the real-time energy consumption data of the meter; the energy utilization online monitoring unit comprises 3 cases: the method comprises the steps of checking an energy consumption online monitoring network diagram, checking a meter historical energy consumption abnormal record and checking meter real-time energy consumption data, providing a graphical real-time energy consumption monitoring interface for enterprise energy management personnel, and respectively displaying the energy consumption metering network diagram (comprising 1. an energy supply circuit 2. each level of energy consumption units 3. metering equipment (a gateway table and a non-gateway table) 4. objects such as a metering network) for different energy types in a logic diagram or schematic diagram form, wherein the running state and the real-time energy consumption information of the energy consumption equipment are displayed in the diagram. And clicking a metering equipment object in the graph, and displaying corresponding real-time energy utilization information such as a load curve of the day, a current curve of the day and the like through a pop-up window. The selectable operation states of the energy utilization equipment comprise fault shutdown, planned shutdown, no-load, overload, light load, normal operation and the like, wherein the first 2 states can be classified into the shutdown state, and the last 4 states can be classified into the operation states.
The abnormal energy monitoring unit is used for monitoring the energy utilization alarm condition of each level of energy utilization unit in real time;
and the acquisition integrity monitoring unit is used for counting the acquisition integrity and monitoring in real time according to the type of the screening meter, the connection state, the data type, the time type and the time period.
The energy consumption query module is used for providing various real-time energy consumption data query functions of energy consumption units at all levels for enterprises;
the energy consumption cost analysis module is used for carrying out statistical analysis on energy consumption cost according to enterprises, departments and typical energy consumption equipment and supporting trend analysis, comparative analysis and ranking analysis on the energy consumption cost;
preferably, the energy consumption cost analysis module comprises: a triggering energy cost analysis unit, an energy cost trend unit, a unit cost distribution unit of energy consumption of each level,
a trigger energy cost analysis unit for analyzing the energy cost in the time range according to the selected time range;
the energy consumption cost trend unit is used for analyzing the cost change trend of electricity, water, gas and heat in the time range according to the selected time range;
the unit cost distribution unit of each level of energy consumption is used for counting the comprehensive energy, electric energy, water energy, gas energy, heat energy and carbon emission of each level of energy consumption unit according to different time granularities
The energy consumption analysis and prediction module is used for carrying out prediction analysis on the energy consumption conditions of all levels of energy consumption units based on the associated data influencing the energy consumption so as to support the prediction of the total energy consumption of the short-term or medium-term enterprises;
preferably, the energy consumption analysis prediction module comprises: an energy consumption trend analysis unit, an energy consumption comparison analysis unit, an energy structure analysis unit and an energy consumption prediction unit,
the energy utilization trend analysis unit is used for carrying out comparative analysis on energy trends according to energy types or selected time, wherein the energy types comprise electric energy, water energy, gas energy, heat energy and carbon emission;
the energy consumption comparison and analysis unit is used for comparing the reference object with the comparison object according to the acquired energy consumption data;
the energy structure analysis unit is used for judging the comparison trend of the energy structures in the same time period according to the acquired energy consumption data and acquiring the energy consumption proportion of an enterprise;
and the energy consumption prediction unit is used for carrying out comparative analysis on the energy consumption according to the selected time and carrying out energy prediction analysis from days, months, seasons and years.
The energy efficiency analysis module is used for carrying out statistical analysis on the energy efficiency KPI indexes and the peak-to-valley power utilization conditions, so that the energy efficiency of enterprises can be quantitatively managed, and the energy efficiency of the enterprises can be digitally evaluated;
preferably, the energy efficiency analysis module includes: an energy balance analysis unit, a benchmarking analysis unit, a peak-valley analysis unit and an energy efficiency evaluation unit,
the energy balance analysis unit is used for analyzing the energy balance data in the selected time range through a morsyl diagram;
the benchmarking analysis unit is used for comparing and analyzing the KPI indexes of the enterprise with other advanced enterprise energy efficiency indexes of the same line to obtain the KPI index difference;
the peak-to-valley analysis unit is used for analyzing the peak-to-valley electricity quantity ratio analysis and the peak-to-valley electricity price ratio analysis by day;
and the energy efficiency evaluation and analysis unit is used for analyzing the energy efficiency KPI indexes and the load characteristic indexes in the time period.
And the power load analysis module is used for managing the power load conditions of the enterprise, wherein the power load conditions comprise load characteristic analysis, load prediction and demand management.
Preferably, the power load analysis module includes: a load characteristic analysis unit, a load prediction unit, a demand prediction unit,
the load characteristic analysis unit is used for displaying and analyzing the power utilization tendency and the load characteristic indexes of the enterprise by extracting the load capacity and lighting the enterprise, wherein the load characteristic indexes comprise a load rate, a peak-valley difference rate and an average power factor;
the load prediction unit is used for obtaining the load prediction condition of an enterprise by comparing the actual value of the electric load in the selected time period with a preset load prediction value;
and the demand forecasting unit is used for calculating and forecasting the next month demand according to the maximum load of the reference year and calculating the next month basic electricity fee according to the capacity, the current-period declaration demand and the forecasted next month declaration demand.
The embodiment of the invention has the beneficial effects that: the embodiment of the invention establishes a multi-user-side comprehensive energy monitoring, tracking and analyzing system based on a power demand side management platform, realizes management and energy consumption monitoring, can find the running problem of an energy consumption system through online monitoring of the energy consumption of a user, standardizes the energy consumption habit of the user, further realizes resource optimal configuration, promotes energy conservation by using a management means, conforms to the change trend of the user demand, improves the power consumption service experience of the user, and has important significance for realizing friendly interaction and mutual coordination of a power supply, a power grid and the user resources
It should be understood that the above-mentioned embodiments of the present invention are only examples for clearly illustrating the technical solutions of the present invention, and are not intended to limit the specific embodiments of the present invention. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention claims should be included in the protection scope of the present invention claims.

Claims (9)

1. The utility model provides a many first user side comprehensive energy monitoring tracking analytic system which characterized in that includes: an energy consumption comprehensive analysis module, an online monitoring module, an energy consumption inquiry module, an energy consumption cost analysis module, an energy consumption analysis and prediction module, an energy efficiency analysis module, an electricity load analysis module and an energy plan actual performance analysis module, wherein,
the energy consumption comprehensive analysis module is used for analyzing and displaying the current energy consumption information of the enterprise, wherein the energy consumption information of the enterprise comprises energy consumption and cost curves of different types of energy at different time granularities, energy consumption ranking of each level of energy consumption units and main energy consumption equipment, KPI (key performance indicator) information, latest emergency abnormal alarm information and power grid pushing information;
the online monitoring module is used for monitoring enterprise energy consumption data and information in real time, wherein the energy consumption data and information comprise an enterprise energy consumption metering network diagram, a motion working condition, real-time abnormal alarm information, terminal meter communication condition information and meter acquisition integrity rate statistical information;
the energy consumption query module is used for providing various real-time energy consumption data query functions of energy consumption units at all levels for enterprises;
the energy consumption cost analysis module is used for carrying out statistical analysis on energy consumption cost according to enterprises, departments and typical energy consumption equipment and supporting trend analysis, comparative analysis and ranking analysis on the energy consumption cost;
the energy consumption analysis and prediction module is used for carrying out prediction analysis on the energy consumption conditions of all levels of energy consumption units based on the associated data influencing the energy consumption so as to support the prediction of the total energy consumption of the short-term or medium-term enterprises;
the energy efficiency analysis module is used for carrying out statistical analysis on the energy efficiency KPI indexes and the peak-to-valley power utilization conditions, so that the energy efficiency of enterprises can be quantitatively managed, and the energy efficiency of the enterprises can be digitally evaluated;
the power load analysis module is used for managing the power load conditions of the enterprise, wherein the power load conditions comprise load characteristic analysis, load prediction and demand management;
and the energy plan actual performance analysis module is used for analyzing and comparing deviation values and deviation rates of actual energy consumption and plan energy consumption every year.
2. The system for monitoring, tracking and analyzing comprehensive energy resources at the multi-user side of claim 1, wherein the comprehensive energy utilization analyzing module comprises: the energy trend analysis unit is used for analyzing the current energy consumption and energy consumption cost change trend of an enterprise according to different time granularity and synchronization comparison;
the energy consumption and cost ranking unit is used for ranking the energy consumption and energy cost of each level of energy consumption unit and main energy consumption equipment;
and the KPI unit is used for checking the relevant index value according to the preset KPI.
3. The system of claim 1, wherein the online monitoring module comprises: the system comprises an energy consumption online monitoring unit, an abnormal energy consumption monitoring unit, an acquisition integrity rate monitoring unit and an energy consumption online monitoring unit, wherein the energy consumption online monitoring unit is used for checking an enterprise energy consumption online monitoring network diagram, checking a meter historical energy consumption abnormal record and checking meter real-time energy consumption data;
the abnormal energy monitoring unit is used for monitoring the energy utilization alarm condition of each level of energy utilization unit in real time;
and the acquisition integrity monitoring unit is used for counting the acquisition integrity and monitoring in real time according to the type of the screening meter, the connection state, the data type, the time type and the time period.
4. The system of claim 1, wherein the energy cost analysis module comprises: a triggering energy cost analysis unit, an energy cost trend unit, a unit cost distribution unit of energy consumption of each level,
a trigger energy cost analysis unit for analyzing the energy cost in the time range according to the selected time range;
the energy consumption cost trend unit is used for analyzing the cost change trend of electricity, water, gas and heat in the time range according to the selected time range;
and the unit cost distribution unit of each level of energy consumption is used for counting the comprehensive energy, electric energy, water energy, gas energy, heat energy and carbon emission of each level of energy consumption unit according to different time granularities.
5. The system for monitoring, tracking and analyzing comprehensive energy resources at the multi-user side of claim 1, wherein the energy consumption analyzing and predicting module comprises: an energy consumption trend analysis unit, an energy consumption comparison analysis unit, an energy structure analysis unit and an energy consumption prediction unit,
the energy utilization trend analysis unit is used for carrying out comparative analysis on energy trends according to energy types or selected time, wherein the energy types comprise electric energy, water energy, gas energy, heat energy and carbon emission;
the energy consumption comparison and analysis unit is used for comparing the reference object with the comparison object according to the acquired energy consumption data;
the energy structure analysis unit is used for judging the comparison trend of the energy structures in the same time period according to the acquired energy consumption data and acquiring the energy consumption proportion of an enterprise;
and the energy consumption prediction unit is used for carrying out comparative analysis on the energy consumption according to the selected time and carrying out energy prediction analysis from days, months, seasons and years.
6. The system for monitoring, tracking and analyzing comprehensive energy at the multi-user side of claim 1, wherein the energy efficiency analysis module comprises: the system comprises an energy balance analysis unit, a benchmarking analysis unit, a peak-valley analysis unit, an energy efficiency evaluation unit and an energy balance analysis unit, wherein the energy balance analysis unit is used for analyzing energy balance data in a selected time range through a moresky graph;
the benchmarking analysis unit is used for comparing and analyzing the KPI indexes of the enterprise with other advanced enterprise energy efficiency indexes of the same line to obtain the KPI index difference;
the peak-to-valley analysis unit is used for analyzing the peak-to-valley electricity quantity ratio analysis and the peak-to-valley electricity price ratio analysis by day;
and the energy efficiency evaluation and analysis unit is used for analyzing the energy efficiency KPI indexes and the load characteristic indexes in the time period.
7. The system of claim 1, wherein the power load analysis module comprises: a load characteristic analysis unit, a load prediction unit, a demand prediction unit,
the load characteristic analysis unit is used for displaying and analyzing the power utilization tendency and the load characteristic indexes of the enterprise by extracting the load capacity and lighting the enterprise, wherein the load characteristic indexes comprise a load rate, a peak-valley difference rate and an average power factor;
the load prediction unit is used for obtaining the load prediction condition of an enterprise by comparing the actual value of the electric load in the selected time period with a preset load prediction value;
and the demand forecasting unit is used for calculating and forecasting the next month demand according to the maximum load of the reference year and calculating the next month basic electricity fee according to the capacity, the current-period declaration demand and the forecasted next month declaration demand.
8. The multi-user-side integrated energy monitoring, tracking and analyzing system of claim 1, wherein the query module comprises a trend analysis module for performing trend analysis of selected data types by selection of energy usage units and energy sources, the selected data types comprising meter data and real-time condition data query.
9. The multi-user-side integrated energy monitoring, tracking and analyzing system according to claim 1, further comprising a report generating module, wherein the report generating module is configured to count the energy consumption of the enterprise according to different report types, energy types and report periods.
CN202010789694.7A 2020-08-07 2020-08-07 Multi-user-side comprehensive energy monitoring, tracking and analyzing system Pending CN111966664A (en)

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