CN111966662A - Multi-user-side comprehensive energy monitoring service application platform - Google Patents
Multi-user-side comprehensive energy monitoring service application platform Download PDFInfo
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Abstract
The invention relates to a multi-user-side comprehensive energy monitoring service application platform, which expands the functions of multi-user-side comprehensive energy monitoring analysis and data service application and provides an application platform, and comprises the following components: the comprehensive energy monitoring, tracking and analyzing module is used for monitoring the user energy condition on line, and comprises comprehensive energy on-line monitoring, energy utilization inquiry, energy utilization cost analysis, energy utilization analysis prediction, energy efficiency analysis, power load analysis and basic information management; the automatic demand response module is used for providing demand response events, including event publishing, event feedback, event monitoring and event result statistics and multi-dimensional statistics of demand response customers; the data service management module is used for providing comprehensive energy data acquisition and access management services for the multi-user, and comprises energy data acquisition, data access management and terminal meter configuration.
Description
Technical Field
The invention relates to the field of comprehensive energy service, in particular to a multi-user-side comprehensive energy monitoring service application platform.
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 service platform on a multi-user side needs to be established, and application functions such as energy data access, management and energy consumption monitoring, power demand response and energy efficiency analysis are provided for the users, so that the data value is mined, and the value of the service is increased.
Disclosure of Invention
The invention aims to overcome at least one defect of the prior art, and provides a multivariate user-side comprehensive energy monitoring, tracking and analyzing system which is used for expanding the application functions of multivariate user-side comprehensive energy monitoring and analyzing and data service on the basis of the existing architecture of a power demand-side management platform and providing a unified application platform for demonstration.
The technical scheme adopted by the invention is that a multi-user-side comprehensive energy monitoring service application platform comprises: the system comprises an integrated energy monitoring, tracking and analyzing module, an automatic demand response module and a data service management module, wherein,
the comprehensive energy monitoring, tracking and analyzing module is used for monitoring the user energy consumption condition on line, and comprises comprehensive energy consumption on-line monitoring, energy consumption inquiry, energy consumption cost analysis, energy consumption analysis prediction, energy efficiency analysis, power load analysis and basic information management;
the automatic demand response module is used for providing demand response events, including event issuing, event feedback, event monitoring and event result statistics and multi-dimensional statistics of demand response customers;
the data service management module is used for providing comprehensive energy data acquisition and access management services for the multi-user, and comprises energy data acquisition, data access management and terminal meter configuration.
The invention relates to a multi-user-side comprehensive energy monitoring service application platform which comprises an energy monitoring, tracking and analyzing module, an automatic demand response module and a data service management function module, wherein the energy monitoring, tracking and analyzing module can be used for monitoring and discovering the running problems of an energy consumption system on line for users, and specifically comprises a plurality of functions of comprehensive energy online monitoring, energy consumption inquiring, energy consumption cost analyzing, energy consumption analyzing and predicting, energy consumption analyzing, power consumption load analyzing, basic information management and the like; the automatic demand response module is used for comprehensively applying energy supply and energy demand optimization balance in a large system range by means of Internet, intelligent technology and marketization, and specifically comprises event release, event schedule, event monitoring, event result query, event feedback, demand response resource management, demand response strategy management and the like, uncontrollable power loads become partially flexible and controllable through the automatic demand response module, the power loads have certain self-adaptive capacity, and the automatic demand response module can be used for peak load regulation and peak load shifting of the power system, so that intelligent electric equipment has the capacity of automatically tracking system change, and the power grid safety is favorably guaranteed; the energy consumption information pushing module provides the functions of subscribing, setting and unsubscribing information and checking information notification for the user, fully integrates energy and information, provides more comprehensive energy consumption information and reasonable energy consumption suggestions for the user, and refreshes the life experience of the user; and the data service management module is used for providing the acquisition and access management service of the energy data for the multi-user and ensuring the safety, stability and reliability of the energy data acquisition and storage of the user. According to the invention, through the multi-user-side comprehensive energy monitoring service application platform, multiple functions of comprehensive energy monitoring and analysis management are realized, so that the user experience is more refined and intelligent, huge benefits are brought to multi-user, the user is helped to know the energy consumption condition, bad energy consumption habits are changed, the energy waste is reduced, and the energy consumption cost is reduced. For industrial and commercial users, the labor productivity of an enterprise energy system is greatly improved by monitoring the energy system in a centralized manner; energy scheduling is realized by using the online monitoring function of the system, so that economic and reasonable operation of the system is ensured, and the contribution of energy-saving and environment-friendly benefits is outstanding; when the energy system is abnormal and has accidents, the system provides real-time data through centralized monitoring, timely, fast and accurate scheduling is facilitated, the influence caused by the faults of the energy system is controlled to the minimum, the stable operation of the energy system is ensured, a power grid manager is facilitated to know the power utilization condition of a user more clearly, and the customer satisfaction degree is improved.
Further, the integrated energy monitoring, tracking and analyzing module comprises:
the online monitoring unit is used for monitoring and receiving energy consumption data and associated data influencing energy consumption in real time, wherein the associated data influencing the energy consumption comprise weather, time, raw materials, yield, equipment utilization rate and production shift;
the energy consumption analysis and prediction unit is used for carrying out prediction analysis on the energy consumption condition of the energy consumption unit according to historical energy consumption data and the related data influencing the energy consumption;
and the energy consumption cost analysis unit is used for analyzing and calculating energy consumption cost according to the prediction analysis result of the energy consumption analysis prediction unit and configuring multiple energy types of energy consumption units according to the energy consumption cost.
Further, the energy consumption analysis prediction unit specifically includes: and predicting the energy consumption of the energy consumption unit in a future period according to historical energy consumption data and the related data influencing consumption, and supporting the comparative analysis of a predicted value and an actual value of the energy consumption.
The comprehensive energy monitoring, tracking and analyzing module comprises an online monitoring unit, an energy consumption analyzing and predicting unit and an energy consumption cost analyzing unit, wherein energy consumption data of an energy consumption unit and associated data influencing energy consumption can be monitored and received in real time through the online monitoring unit, the associated data influencing the energy consumption comprise a plurality of external influencing factors such as weather, time, raw materials, yield, equipment utilization rate, production shift and the like, and can be obtained through corresponding hardware equipment; the energy consumption analysis and prediction unit carries out prediction and analysis on the energy consumption condition of the energy consumption unit by the received energy consumption data and the associated data to obtain an energy consumption condition analysis result of the energy consumption unit, and the energy consumption cost analysis unit calculates the energy consumption cost of the analysis result, thereby realizing the optimal configuration of various energy types.
Further, the online monitoring unit includes: an energy on-line monitoring subunit, an abnormal energy monitoring subunit and an acquisition integrity monitoring subunit are used,
the energy consumption online monitoring subunit is used for monitoring real-time energy consumption data of the enterprise meter;
the abnormal energy monitoring subunit is used for monitoring whether the real-time energy consumption data of each level of energy consumption unit exceeds the energy consumption alarm condition of the threshold value in real time according to a preset threshold value;
and the acquisition integrity monitoring subunit is used for counting the acquisition integrity and monitoring the acquisition integrity in real time according to screening conditions, wherein the screening conditions comprise meter types, connection states, data types, time types and time periods.
The on-line monitoring unit needs to pay attention to the energy utilization problem and hidden danger of real-time processing, and displays the real-time energy utilization condition in a chart form, wherein the real-time energy utilization condition comprises the following specific steps: the energy consumption online monitoring subunit is used for monitoring the real-time energy consumption data of the enterprise meter, providing a graphical real-time energy consumption monitoring interface for energy management personnel of the enterprise, and respectively displaying an energy consumption metering network diagram (comprising 1. an energy supply circuit 2. energy consumption units at all levels 3. metering equipment (a gateway table and a non-gateway table) 4. objects such as a metering network) for different energy types in the form of a logic diagram or a schematic diagram, wherein the energy consumption monitoring subunit is used for displaying the running state and the real-time energy consumption information of the energy consumption equipment in the diagram; the abnormal energy consumption monitoring subunit monitors energy consumption alarm information of each level of energy consumption unit in real time, monitors whether the real-time energy consumption data of each level of energy consumption unit exceeds the energy consumption alarm condition of a threshold value in real time according to a preset threshold value, displays the energy consumption alarm condition 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 subunit counts the acquisition integrity and monitors the acquisition integrity in real time according to the type of the screening condition table, the connection state, the data type, the time type and the time period. The energy consumption state of an enterprise is monitored on line in real time by the energy consumption on-line monitoring subunit, so that a powerful guarantee is provided for the treatment of energy consumption problems and hidden dangers, the alarm information is subjected to statistical analysis and treatment by the abnormal energy consumption monitoring subunit, the alarm problem can be fed back in a detailed and traceable manner, the energy consumption data is accurately and conveniently collected by the acquisition integrity monitoring subunit, and the basis of data analysis and application of the system is ensured.
Further, the energy consumption analysis prediction unit includes: the energy utilization trend analysis subunit is used for carrying out comparative analysis on the energy trends of different energy types according to the historical energy utilization data and the associated data, wherein the energy utilization trend analysis subunit is used for carrying out comparative analysis on the energy trends of the different energy types, and the energy types comprise electric energy, water energy, gas energy, heat energy and carbon emission;
the energy structure analysis subunit is used for judging the comparison trend of the energy structure in the same time period according to the analysis result obtained by the energy use trend analysis subunit to obtain the energy consumption proportion of the enterprise;
and the energy consumption prediction subunit is used for carrying out comparative analysis on the energy consumption at the selected time according to the energy consumption proportion and carrying out energy prediction analysis from day, month, season and year.
The energy consumption analysis and prediction unit predicts the future energy consumption based on the associated data, specifically, through a plurality of sub-units, comprises: the energy utilization trend analysis subunit selects different time granularities according to historical energy utilization data and associated data to carry out future energy trend analysis aiming at the change trend of the emission consumption of comprehensive energy, electric energy, water energy, gas energy, heat energy and carbon; the energy structure analysis subunit judges the comparison trend of the energy structure in the same time period according to the analysis result obtained by the energy use trend analysis subunit, obtains the energy consumption proportion of the enterprise, checks the energy consumption structure of the enterprise (electricity, gas, heat and oil), displays the energy consumption structure in the forms of a histogram, a pie chart and a table, and selects different time granularities (day, month, season and year) to display the energy consumption structure; the energy consumption prediction subunit 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 subunit, the energy consumption comparison and analysis subunit, the energy structure analysis subunit and the energy consumption prediction subunit, the energy consumption in a period of time can be predicted and judged based on historical data and associated data, and planning of energy consumption in the next quarter or the next strategic time by enterprises are facilitated.
Further, the energy consumption cost analysis unit includes: the energy cost analysis subunit is used for analyzing the energy cost in the time range according to the selected time range;
the energy consumption cost trend subunit is used for analyzing the cost change trend of the multiple energy types in the time range according to the selected time range;
and the energy consumption unit cost distribution subunits at all levels are used for carrying out distribution configuration on comprehensive energy, electric energy, water energy, gas energy, heat energy and carbon emission of the energy consumption units at all levels according to the energy consumption cost of various energy types and the energy prediction analysis result of the enterprise.
The energy consumption cost analysis unit can perform statistical analysis on energy consumption cost, perform trend analysis, comparative analysis and ranking analysis on the energy consumption cost, and calculate the average electricity price based on the peak-valley electricity price and the electric quantity, wherein the energy consumption cost analysis unit specifically comprises the following steps: the trigger energy cost analysis subunit selects a time range to be analyzed, and calculates the energy cost in the time range through the trigger energy cost analysis unit; the energy consumption cost trend subunit uses a curve graph to represent cost change curves of electricity, water, gas and heat according to the energy consumption cost in the selected time range; and the energy consumption unit cost analysis subunits at all levels analyze and rank the comprehensive energy, electric energy, hydroenergy, gas energy, heat energy and carbon emission consumption of the energy consumption units at all levels according to the current different time granularities (the current day, the current month, the current season and the current year), and display the results through a stacked histogram. The energy consumption cost analysis subunit, the energy consumption cost trend subunit and the energy consumption unit cost distribution subunit are triggered to analyze and count the energy of each level of energy consumption units of the enterprise, manage the energy in a planned way, realize the optimal allocation of the resources and promote the energy conservation.
Further, the integrated energy monitoring, tracking and analyzing module comprises:
the energy consumption comprehensive analysis unit is used for analyzing and displaying the current energy consumption information of the enterprise, and 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 energy efficiency analysis unit 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 the enterprises can be quantitatively managed, and the energy efficiency of the enterprises can be digitally evaluated;
and the power load analysis unit 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.
The invention discloses a comprehensive energy tracking and analyzing module, which specifically comprises a plurality of functional units: the energy consumption comprehensive analysis unit 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 energy efficiency analysis unit 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; and the power load analysis unit is used for managing and analyzing the current total power load information of the enterprise, and comprises electric quantity and load trend of different time granularities, actual value of a reference time period 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 invention establishes a multi-user-side comprehensive energy monitoring service application platform based on an electric 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 optimization configuration, promotes energy conservation by using a management means, conforms to the variation trend of the user demand, improves the experience of the user electricity 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 unit comprises: the energy trend analysis sub-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 subunit 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 subunit is used for checking the relevant index value according to the preset KPI.
The energy consumption comprehensive analysis unit specifically comprises: the energy trend analysis subunit 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 comparison and analysis in the same period (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 subunit 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 subunit presets a plurality of KPI, and reflects 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 subunit, the energy consumption and cost ranking subunit and the KPI (key performance indicator) subunit in the energy consumption comprehensive analysis module, the current total energy consumption situation 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 planned.
Further, the energy efficiency analysis unit includes: the energy balance analysis subunit is used for analyzing energy balance data in a selected time range through a moreski diagram;
the benchmarking analysis subunit is used for comparing and analyzing the KPI 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 subunit 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 subunit is used for analyzing the energy efficiency KPI indexes and the load characteristic indexes in the time period.
The energy efficiency analysis unit obtains an energy balance moroks diagram in a selected time range through the energy efficiency balance analysis subunit, and visually analyzes the energy; through the benchmarking analysis subunit, the KPI indexes of the enterprises are compared with the energy efficiency indexes of other advanced enterprises in the same industry to obtain the size of the index difference, so that the targeted adjustment is realized; by the peak-valley analysis subunit, the power consumption unit power consumption, 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 subunit, the energy efficiency KPI indicator and the load characteristic indicator 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 unit includes: the system comprises a load characteristic analysis subunit, a load forecasting subunit and a demand forecasting subunit, wherein the load characteristic analysis subunit is used for displaying and analyzing the power utilization trend and the load characteristic indexes of the enterprise by extracting the load capacity and lightening the load capacity of the enterprise, and the load characteristic indexes comprise a load rate, a peak-valley difference rate and an average power factor;
the load forecasting subunit is used for obtaining the load forecasting condition of the enterprise by comparing the actual value of the electric load in the selected time period with the preset load forecasting value;
and the demand forecasting subunit 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 unit can display the total power load information of an enterprise, and comprises the following steps: the load characteristic analysis subunit 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 forecasting subunit selects a forecasting period and a reference time interval, then selects time intervals, and then performs trend comparison analysis on the actual value and the forecasting value of the electric load, so that load forecasting can be performed from day, month, season and year; the demand forecasting subunit carries out forecasting of declared quantity in the next month according to the monthly maximum load of the selected reference time interval, and the demand forecasting subunit is mainly divided into 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.
Compared with the prior art, the invention has the beneficial effects that:
1. based on the existing architecture of the power demand side management platform, the application function of the comprehensive energy monitoring service of the multi-user side is expanded, and a unified application platform is provided for demonstration.
2. The access of the energy data for the itemized integration and the equipment remote control platform are provided for multiple users (industrial, commercial and residential), and the safe, stable and reliable acquisition and storage of the energy data for the users are realized.
3. Providing platform support for automated demand response. And providing data, information and service support for the information push application.
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Fig. 1 is a network structure diagram of a hardware system according to an embodiment of the present invention.
Fig. 2 is a system configuration diagram according to 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.
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 the system network structure in the aspect of hardware deployment is shown as a title 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
Fig. 2 shows a multi-user-side integrated energy monitoring service application platform according to an embodiment of the present invention, which includes: an integrated energy monitoring, tracking and analyzing module, an automatic demand response module, an energy consumption information pushing module and a data service management module, wherein,
the comprehensive energy monitoring, tracking and analyzing module is used for monitoring the user energy consumption condition on line, and comprises comprehensive energy consumption on-line monitoring, energy consumption inquiry, energy consumption cost analysis, energy consumption analysis prediction, energy efficiency analysis, power load analysis and basic information management;
the automatic demand response module is used for providing demand response events, including event issuing, event feedback, event monitoring and event result statistics and multi-dimensional statistics of demand response customers;
the energy consumption information pushing module is used for providing the functions of subscribing, setting and unsubscribing messages and checking message notifications for the user;
the data service management module is used for providing comprehensive energy data acquisition and access management services for the multi-user, and comprises energy data acquisition, data access management and terminal meter configuration.
Preferably, the integrated energy monitoring, tracking and analyzing module comprises:
the energy consumption comprehensive analysis unit is used for analyzing and displaying the current energy consumption information of the enterprise, and 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;
specifically, the energy consumption comprehensive analysis unit comprises:
the energy trend analysis subunit is used for analyzing the current energy consumption and energy consumption cost change trend of the enterprise according to different time granularity and synchronization comparison; wherein the energy types include comprehensive energy, electricity, water, gas, heat and carbon emissions, the time granularity includes day, month, season, year, and the presentation form includes a line graph, a bar graph, and the like.
The energy consumption and cost ranking subunit is used for ranking the energy consumption and energy cost of each level of energy consumption unit and main energy consumption equipment; wherein, rank is carried out to energy consumption data and the energy cost of secondary energy consumption unit and main energy consumption equipment. The types are: 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 days, months, seasons and years (dates are selected according to the energy trend analysis function module).
And the KPI subunit is used for checking the relevant index value according to the preset KPI.
The abnormal use can remind the subunit, and the main function divide into: and checking abnormal energy reminding, processing abnormal energy reminding and more reminding information. The abnormal use energy prompt checking is a prompt for equipment abnormity of a user factory, the abnormal use energy prompt processing is an automatic analysis and processing suggestion of the abnormity reason of the system, the user gives a user, the user selects to process the abnormity or ignore, and more prompt information is to jump to an online monitoring page.
The online monitoring unit is used for monitoring energy consumption data and information of an enterprise in real time, wherein the energy consumption data and information comprise an energy consumption metering network diagram and a motion working condition of the enterprise, real-time abnormal alarm information, terminal meter communication condition information and meter acquisition integrity rate statistical information;
specifically, the online monitoring unit includes:
the energy consumption online monitoring subunit 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 on-line monitoring subunit for the energy consumption comprises 3 cases: checking the energy-consumption online monitoring network graph: and checking the online monitoring network graph of various energy sources, and displaying the online monitoring network graph by using a meter topological graph. A certain meter can be selected to check the historical energy consumption abnormity and real-time energy consumption data; checking the history energy consumption abnormal record of the meter: by selecting a meter capable of monitoring the network diagram on line, checking the historical energy consumption abnormal record of the selected meter; checking real-time energy consumption data of the meter: and checking the real-time energy consumption data of the selected meter by selecting the meter capable of monitoring the network graph on line.
The abnormal energy monitoring subunit is used for monitoring the energy utilization alarm condition of each level of energy utilization unit in real time; the unusual energy monitoring subunit comprises 3 cases: and checking an exception record: checking abnormal energy consumption records, inquiring abnormal records by screening conditions such as alarm objects, abnormal types, confirmation states, abnormal occurrence time periods and the like, and selecting records to check the load curve of the energy consumption unit on the abnormal occurrence date; processing exception records: the user processes and confirms the abnormal record; and (3) exporting the exception record: exporting the searched record to the local.
And the acquisition integrity monitoring subunit 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 method is divided into two cases: and checking the acquired integrity rate data and exporting the acquired integrity rate data.
And the communication connection state monitoring subunit is used for monitoring the connection state of each meter in real time and presenting data in a form of a table. The method is divided into two cases: and checking the communication connection condition and exporting the communication connection condition.
The energy consumption query unit is used for providing various real-time energy consumption data query functions of energy consumption units at all levels for enterprises, and comprises the steps of performing trend analysis on selected data types through selection of the energy consumption units and energy sources, wherein the selected data types comprise table code data and real-time working condition data query; specifically, by making a selection of energy usage units and energy data, the energy sources include electricity, water, gas, heat. Performing trend curve analysis and data query derivation on the selected data types, wherein the data types are divided into two types: and (5) inquiring the data of the table code and the real-time working condition data. The table code data can be inquired in real time and in time-sharing amount, and the displayed curve graphs have two types, namely real-time table code data and time-sharing table code data. The energy consumption data can be displayed in a maximum, minimum and average value mode and can be compared synchronously, and the real-time working condition data can be inquired only in real time. (the meter codes comprise a total meter code (a forward active total meter code and a forward reactive total meter code) of the electric meter, a peak-to-valley meter code (a forward active peak meter code, a forward active flat meter code and a forward active valley meter code), a water meter, a gas meter and a heat meter, and the real-time working condition data comprise active power, reactive power, a power factor, current, voltage, A-phase harmonic voltage, B-phase harmonic voltage, C-phase harmonic voltage, A-phase harmonic current, B-phase harmonic current and C-phase harmonic current.)
The energy consumption cost analysis unit 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 of the energy consumption cost;
specifically, the energy consumption cost analysis unit includes:
a trigger energy cost analysis subunit for analyzing the energy cost in the time range according to the selected time range;
the energy consumption cost trend subunit 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 each level of energy consumption unit cost distribution subunit 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 unit 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;
specifically, the energy consumption analysis and prediction unit establishes an associated energy model of energy consumption and associated data influencing energy consumption based on the associated data influencing energy consumption (external factors influencing energy consumption such as weather, time, raw materials, yield, equipment utilization rate, production shift and the like), predicts energy consumption of users, departments and typical energy consumption equipment for a period of time (a day, a week and a month) in the future by using a mathematical method based on the model, and supports comparative analysis of a predicted energy consumption value and an actual energy consumption value. The method specifically comprises the following steps:
the energy trend analysis subunit is used for carrying out comparative analysis on the energy trend according to the energy types or the selected time, wherein the energy types comprise electric energy, water energy, gas energy, heat energy and carbon emission;
the energy consumption comparison and analysis subunit is used for comparing the reference object with the comparison object according to the acquired energy consumption data; the energy structure analysis subunit 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 the enterprise;
and the energy consumption prediction subunit 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 unit 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 the enterprises can be quantitatively managed, and the energy efficiency of the enterprises can be digitally evaluated;
specifically, the energy efficiency analysis unit includes:
the energy balance analysis subunit is used for analyzing the energy balance data in the selected time range through a morsyl diagram;
the benchmarking analysis subunit is used for comparing and analyzing the KPI 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 subunit 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 subunit is used for analyzing the energy efficiency KPI indexes and the load characteristic indexes in the time period.
And the power load analysis unit 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.
Specifically, the electrical load analysis unit includes:
the load characteristic analysis subunit 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 forecasting subunit is used for obtaining the load forecasting condition of the enterprise by comparing the actual value of the electric load in the selected time period with the preset load forecasting value;
and the demand forecasting subunit 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.
Preferably, the automatic demand response module includes:
the event schedule viewing unit is used for displaying the notification and the plan arrangement of the recent demand response of the user through an event schedule and performing response feedback on the participation demand response event through event detailed information;
the event monitoring unit is used for monitoring the basic information of the demand response event and the participation condition of the response user, and comprises a participated client list, a resource list and a load curve;
the event result unit is used for counting the condition of the client participating in the demand response, including the notification times, the participation times and the participation rate;
the resource management unit is used for configuring and maintaining demand response resources for users, adding, deleting and classifying the resources by the users, binding the resources and the meter, and starting and stopping the resources;
and the strategy management unit is used for creating different response strategies for the user, simplifying response operation by selecting different resource combinations, and configuring a default response strategy by setting client parameters.
The embodiment of the invention has the beneficial effects that:
1. based on the existing architecture of the power demand side management platform, the application function of the comprehensive energy monitoring service of the multi-user side is expanded, and a unified application platform is provided for demonstration.
2. The access of the energy data for the itemized integration and the equipment remote control platform are provided for multiple users (industrial, commercial and residential), and the safe, stable and reliable acquisition and storage of the energy data for the users are realized.
3. Providing platform support for automated demand response. And providing data, information and service support for the information push application.
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 (10)
1. The utility model provides a many first user side integrated energy monitoring service application platform which characterized in that includes: the system comprises an integrated energy monitoring, tracking and analyzing module, an automatic demand response module and a data service management module, wherein,
the comprehensive energy monitoring, tracking and analyzing module is used for monitoring the user energy consumption condition on line, and comprises comprehensive energy consumption on-line monitoring, energy consumption inquiry, energy consumption cost analysis, energy consumption analysis prediction, energy efficiency analysis, power load analysis and basic information management;
the automatic demand response module is used for providing demand response time, including event issuing, event feedback, event monitoring and event result statistics and multi-dimensional statistics of demand response customers;
the data service management module is used for providing comprehensive energy data acquisition and access management services for the multi-user, and comprises energy data acquisition, data access management and terminal meter configuration.
2. The multi-user integrated energy monitoring service application platform according to claim 1, wherein the integrated energy monitoring tracking analysis module comprises:
the online monitoring unit is used for monitoring and receiving energy consumption data and associated data influencing energy consumption in real time, wherein the associated data influencing the energy consumption comprise weather, time, raw materials, yield, equipment utilization rate and production shift;
the energy consumption analysis and prediction unit is used for carrying out prediction analysis on the energy consumption condition of the energy consumption unit according to historical energy consumption data and the related data influencing the energy consumption;
and the energy consumption cost analysis unit is used for analyzing and calculating energy consumption cost according to the prediction analysis result of the energy consumption analysis prediction unit and configuring multiple energy types of energy consumption units according to the energy consumption cost.
3. The multi-user integrated energy monitoring service application platform according to claim 2, wherein the energy consumption analysis and prediction unit specifically comprises: and predicting the energy consumption of the energy consumption unit in a future period according to historical energy consumption data and the related data influencing consumption, and supporting the comparative analysis of a predicted value and an actual value of the energy consumption.
4. The multi-user-side integrated energy monitoring service application platform according to claim 2, wherein the online monitoring unit comprises: the energy consumption online monitoring subunit is used for monitoring real-time energy consumption data of the enterprise meter;
the abnormal energy monitoring subunit is used for monitoring the energy utilization alarm condition that the real-time energy utilization data of each level of energy utilization unit exceeds the threshold value in real time according to a preset threshold value;
and the acquisition integrity monitoring subunit is used for counting the acquisition integrity and monitoring the acquisition integrity in real time according to screening conditions, wherein the screening conditions comprise meter types, connection states, data types, time types and time periods.
5. The multi-user-side integrated energy monitoring service application platform according to claim 2, wherein the energy consumption analysis and prediction unit comprises: the energy utilization trend analysis subunit is used for carrying out comparative analysis on the energy trends of different energy types according to the historical energy utilization data and the associated data, wherein the energy utilization trend analysis subunit is used for carrying out comparative analysis on the energy trends of the different energy types, and the energy types comprise electric energy, water energy, gas energy, heat energy and carbon emission;
the energy structure analysis subunit is used for judging the comparison trend of the energy structure in the same time period according to the analysis result obtained by the energy use trend analysis subunit to obtain the energy consumption proportion of the enterprise;
and the energy consumption prediction subunit is used for carrying out comparative analysis on the energy consumption at the selected time according to the energy consumption proportion and carrying out energy prediction analysis from day, month, season and year.
6. The multi-user-side integrated energy monitoring service application platform according to claim 4, wherein the energy consumption cost analysis unit comprises: a triggering energy cost analysis subunit, an energy cost trend subunit, energy unit cost distribution subunits at all levels,
a trigger energy cost analysis subunit for analyzing the energy cost in the time range according to the selected time range;
the energy consumption cost trend subunit is used for analyzing the cost change trend of the multiple energy types in the time range according to the selected time range;
and the energy consumption unit cost distribution subunits at all levels are used for carrying out distribution configuration on comprehensive energy, electric energy, water energy, gas energy, heat energy and carbon emission of the energy consumption units at all levels according to the energy consumption cost of various energy types and the energy prediction analysis result of the enterprise.
7. The multi-user integrated energy monitoring service application platform according to claim 2, wherein the integrated energy monitoring tracking analysis module further comprises:
the energy consumption comprehensive analysis unit 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 energy types and different time granularities, energy ranking of energy consumption units and main energy consumption equipment at all levels, KPI (key performance indicator) information, latest emergency abnormal alarm information and power grid pushing information;
the energy efficiency analysis unit 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 the enterprises can be quantitatively managed, and the energy efficiency of the enterprises can be digitally evaluated;
and the power load analysis unit 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.
8. The multi-user-side integrated energy monitoring service application platform according to claim 2, wherein the energy consumption integrated analysis unit comprises: the energy trend analysis sub-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 subunit 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 subunit is used for checking the relevant index value according to the preset KPI.
9. The multi-user-side integrated energy monitoring service application platform according to claim 2, wherein the energy efficiency analysis unit comprises: an energy balance analysis subunit, a benchmarking analysis subunit, a peak-to-valley analysis subunit and an energy efficiency evaluation subunit,
the energy balance analysis subunit is used for analyzing the energy balance data in the selected time range through a morsyl diagram;
the benchmarking analysis subunit is used for comparing and analyzing the KPI 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 subunit 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 subunit is used for analyzing the energy efficiency KPI indexes and the load characteristic indexes in the time period.
10. The multi-user-side integrated energy monitoring service application platform according to claim 2, wherein the power load analysis unit comprises: the system comprises a load characteristic analysis subunit, a load forecasting subunit and a demand forecasting subunit, wherein the load characteristic analysis subunit is used for displaying and analyzing the power utilization trend and the load characteristic indexes of the enterprise by extracting the load capacity and lightening the load capacity of the enterprise, and the load characteristic indexes comprise a load rate, a peak-valley difference rate and an average power factor;
the load forecasting subunit is used for obtaining the load forecasting condition of the enterprise by comparing the actual value of the electric load in the selected time period with the preset load forecasting value;
and the demand forecasting subunit 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.
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