CN116738163A - Energy consumption monitoring and management system and method based on rule engine - Google Patents
Energy consumption monitoring and management system and method based on rule engine Download PDFInfo
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Abstract
The invention relates to a data processing system, and provides an energy consumption monitoring management system based on a rule engine, which comprises the following components: the data acquisition module is used for connecting a data source to acquire energy consumption data; the data processing module is used for preprocessing the collected original data to extract effective energy consumption data; the data storage module is used for storing and managing the energy consumption data extracted by the data processing module; the rule definition module is used for configuring business rules according to the energy management requirements; the rule engine module is used for judging and processing the energy consumption data in real time according to the business rules and generating rule execution results; and the business action module is used for executing business actions according to the rule execution result. The energy consumption monitoring management system based on the rule engine can carry out automatic decision and intelligent control according to the real-time energy consumption data, and improves the efficiency and accuracy of energy management. The invention also provides an energy consumption monitoring and managing method based on the rule engine.
Description
Technical Field
The invention relates to a data processing system, in particular to an energy consumption monitoring management system based on a rule engine. In addition, the invention also relates to an energy consumption monitoring and managing method based on the rule engine.
Background
Energy consumption management and control has important significance in modern society, especially in the large-scale energy consumption industry, such as industry, building, traffic and other fields. With increasing concerns about energy consumption and environmental protection, enterprises are facing increasing pressure on energy management.
The traditional energy management and control method has the problems of low efficiency, more manual intervention, human errors, low response speed and the like, and a more intelligent and automatic method is needed to realize the real-time management and control of energy consumption, however, the traditional energy consumption monitoring system is usually used for monitoring and alarming based on fixed rules and preset thresholds, lacks flexibility and intelligence, and cannot be dynamically adjusted and optimized according to real-time energy consumption conditions and service demands.
Disclosure of Invention
The invention aims to provide an energy consumption monitoring management system based on a rule engine, which can carry out automatic decision and intelligent control according to real-time energy consumption data, and improves the efficiency and accuracy of energy management.
The invention also solves the technical problem of providing the energy consumption monitoring and managing method based on the rule engine, which can carry out automatic decision and intelligent control according to the real-time energy consumption data and has high efficiency and accuracy of energy management.
In order to solve the above technical problems, the present invention provides an energy consumption monitoring management system based on a rule engine, including: the data acquisition module is used for connecting a data source to acquire energy consumption data; the data processing module is used for preprocessing the collected original data to extract the effective energy consumption data; the data storage module is used for storing and managing the energy consumption data extracted by the data processing module; the rule definition module is used for configuring business rules according to the energy management requirements; the rule engine module is used for judging and processing the energy consumption data in real time according to the business rules and generating rule execution results; and the business action module is used for executing business actions according to the rule execution result.
Specifically, the energy consumption data includes an energy type, an energy consumption amount, a time stamp, and location information.
Specifically, the method for preprocessing the original data by the data processing module comprises the following steps: data cleaning: cleaning the original data; data conversion: converting the energy consumption data into a unified unit and format; data aggregation: the energy consumption data are aggregated according to a designed time period; data normalization: carrying out standardized processing on the energy consumption data so as to enable the data to have uniform scale and range; abnormality detection: and detecting an abnormal value or an outlier existing in the energy consumption data so as to correct or exclude the abnormal value or the outlier.
Specifically, the rule definition module is further configured to: rule writing and editing: providing a rule definition language or tool for writing and editing rules; rule management and version control: managing and version controlling rules; rule testing and verification: the written rules are tested and validated to enable the rules to match and judge conditions correctly.
Preferably, the rule definition module defines the following rule: abnormal energy consumption alarm rule: comparing the energy data acquired in real time with a threshold value of the set energy consumption, and carrying out abnormal alarm according to a comparison result; energy consumption trend analysis rules: analyzing historical energy consumption data, judging an energy consumption increasing trend, and early warning potential energy consumption problems in advance; energy consumption comparison rule: comparing the energy consumption data of different time periods, different areas or different devices, and judging abnormal energy consumption conditions; energy consumption prediction rules: analyzing and modeling historical energy consumption data, and predicting future energy consumption conditions; energy efficiency evaluation rules: calculating the energy consumption data, evaluating the use efficiency of energy, and triggering a processing action according to an evaluation result; regulation of energy consumption: and adjusting the energy consumption based on the historical energy consumption data and the set threshold.
Specifically, the method for judging and processing the energy consumption data by the rule engine module is as follows: processing the collected energy consumption data by using statistical analysis, trend analysis and anomaly detection, and extracting key indexes and characteristics; matching the business rules defined in the rule definition module by using logic judgment, mathematical operation and mode matching; and carrying out condition judgment on the extracted key indexes and features and the matched business rules, and generating rule execution results according to judgment results.
Specifically, the business action module is used for executing the following operations: and executing the business action: executing corresponding business actions according to the rule execution result; business process management: managing execution of the business process; business action monitoring and reporting: monitoring the execution condition of the service action, and generating a corresponding report so as to evaluate and optimize the execution result of the service action; error handling and exception handling: and processing errors and anomalies in the execution process of the business actions.
Preferably, the system further comprises an operation overview module, wherein the operation overview module is connected with the data acquisition module to acquire the real-time energy consumption data of the equipment, and the operation overview module is connected with the rule engine module to acquire real-time early warning information.
Preferably, the system further comprises a real-time monitoring module, wherein the real-time monitoring module is respectively connected with the data acquisition module, the data processing module, the data storage module and the operation overview module so as to monitor the change condition of the energy consumption data in real time.
Correspondingly, the invention also provides an energy consumption monitoring and managing method based on the rule engine, which comprises the following steps: connecting a data source to collect energy consumption data; preprocessing the collected raw data to extract effective energy consumption data; storing and managing the extracted energy consumption data; configuring business rules according to energy management requirements; judging and processing the energy consumption data in real time according to the business rules to generate rule execution results; and executing the business action according to the rule execution result.
Through the scheme, the beneficial effects of the invention are as follows:
the energy consumption monitoring management system based on the rule engine can collect the energy consumption data in real time, preprocesses the collected original data through the data processing module, ensures the accuracy and the integrity of the data, stores the extracted effective energy consumption data, combines the business rules configured by the rule definition module according to the energy management requirement, automatically judges whether the energy consumption situation accords with the specified business rules through the rule engine module, and generates a corresponding rule execution result according to the judgment result, thereby executing the business action to carry out the energy management.
Additional features and advantages of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate the invention and together with the description serve to explain, without limitation, the invention. In the drawings:
fig. 1 is a schematic diagram of a system module structure of the rule engine-based energy consumption monitoring and management system of the present invention.
FIG. 2 is a system diagram of one embodiment of a rule engine based energy consumption monitoring management system of the present invention.
Description of the reference numerals
1 data acquisition module 2 data processing module
3 data storage Module 4 rule definition Module
5 rule engine module 6 business action module
7 operation overview module 8 real-time monitoring module
Detailed Description
The following detailed description of the embodiments of the invention is provided in connection with the accompanying drawings, it being understood that the embodiments described herein are for purposes of illustration and explanation only, and the scope of the invention is not limited to the following embodiments.
The invention provides an energy consumption monitoring management system based on a rule engine, which improves the efficiency and accuracy of energy management through automatic decision and intelligent control.
For ease of understanding, the present embodiment will be explained below with respect to some technical terms used:
a rule engine is a component embedded in an application that enables the separation of business decisions from application code and the writing of business decisions using predefined semantic modules. And receiving data input, interpreting the business rule, and making a business decision according to the business rule.
As shown in fig. 1, as a specific embodiment of the rule engine-based energy consumption monitoring management system of the present invention, the system includes the following modules:
the data acquisition module 1 is used for connecting a data source to acquire energy consumption data;
the data processing module 2 is used for preprocessing the collected original data to extract effective energy consumption data;
a data storage module 3 for storing and managing the energy consumption data extracted by the data processing module 2;
the rule definition module 4 is used for configuring business rules according to the energy management requirements;
the rule engine module 5 is used for judging and processing the energy consumption data in real time according to the business rules and generating rule execution results;
and the business action module 6 executes business actions according to the rule execution result.
In the embodiment of the energy consumption monitoring management system based on the rule engine of the invention, referring to fig. 2, the data acquisition module 1 is responsible for connecting with various data sources through communication interfaces, including online acquisition, data docking and access of other data, and the communication interfaces define specifications for data transmission through a communication protocol so as to ensure correct transmission and processing of data. The communication interface may use different communication protocols to support different types of data transfer, such as HTTP, TCP/IP, UDP, etc. It should be noted that the communication protocol is a protocol in which data exchange rules and standards are defined during data transmission to ensure proper communication between the transmitting and receiving devices. In the embodiment of the energy consumption monitoring and management system based on the rule engine, the communication protocol refers to rules and standards for transmitting energy consumption data between the data acquisition module 1 and various data sources, including data format, transmission rate, data packet size, sequence and the like. Preferably, the communication interface adopts HTTP (hypertext transfer protocol), and the HTTP protocol supports a wide range of data formats including text, images, audio and video, so that the HTTP protocol can better meet the diversified data source requirements, has better compatibility and expandability, can interoperate with the existing Web application program and browser, and can be extended by adding new functions and options, and meanwhile, the HTTP protocol only needs to establish one connection, so that multiple data transmission can be performed.
The energy consumption data collected by the data collection module 1 include energy types, energy consumption, time stamps, position information and the like, and the data are used for carrying out analysis and application such as energy consumption statistics, energy consumption duty ratio analysis, energy consumption conversion and the like. Among them, energy types include, but are not limited to, electricity, water supply, compressed air, boilers, sewage, air conditioning, etc.; the energy consumption is usually expressed in energy units, for example, the electric power consumption may be expressed in kilowatt-hours, the water supply consumption may be expressed in cubic meters, the compressed air consumption may be expressed in liters, the steam consumption may be expressed in tons (t), etc.; the time stamp is the time of recording data acquisition, including information such as year, month, day, hour and the like, and is used for carrying out energy analysis and statistics of time dimension; the location information is geographical location information of the recorded data collection, such as longitude, latitude and the like, so that a user can know the energy consumption condition under different geographical locations and perform regional energy management and optimization.
In order to ensure the accuracy and integrity of the collected data, the data processing module 2 needs to pre-process the collected raw data to extract effective energy consumption data, which comprises the following specific steps:
data cleaning: cleaning the original data, removing invalid, missing or wrong data, and ensuring the accuracy and the integrity of the data;
data conversion: converting the energy consumption data into a unified unit and format for subsequent data analysis and comparison;
data aggregation: the energy consumption data are aggregated according to a designed time period, such as aggregation is carried out according to hour, day or month and other units, so that statistical indexes and charts can be generated later;
data normalization: the energy consumption data is subjected to standardized processing, so that the data has uniform scale and range, and subsequent comparison and analysis are facilitated;
abnormality detection: and detecting an abnormal value or an outlier existing in the energy consumption data so as to correct or exclude the abnormal value or the outlier.
It should be noted that the data processing technology in the data processing module 2 includes a data warehouse, a database, and a data analysis and processing tool, and an appropriate technology may be selected according to the scale of the system, the data amount, and the processing requirement. For example, for large-scale data processing requirements, distributed databases and large data processing frameworks such as Hadoop and Spark may be selected; for smaller scale data processing requirements, relational databases such as MySQL and non-relational databases such as mongo db, etc. may be selected.
In the embodiment of the rule engine-based energy consumption monitoring management system of the present invention, the data storage module 3 is responsible for interfacing with MIS systems (management information systems), ERP systems (enterprise resource planning systems) and other data sources (such as policy files, production data and manually inputted data) through an interface, writing the energy consumption data transmitted through the data processing module 2 into a relational database, and integrating the data into a data center.
Specifically, the rule definition module 4 is responsible for defining rules through a rule definition language or tool, for rule matching and condition judgment of the rule engine module 5, the condition of the rule is judged based on the collected energy consumption data, and the action of the rule defines an operation that the system needs to execute when the condition is satisfied, such as sending an alarm notification, adjusting energy consumption, time period, and the like. The rule can be flexibly configured and defined according to different business requirements, so that intelligent judgment and processing of the energy consumption condition are realized, and the rule definition module specifically comprises the following functions:
rule writing and editing: providing a rule definition language or tool for compiling and editing rules, including conditions, actions, triggers and the like of the rules;
rule management and version control: the method comprises the steps of managing and version controlling rules, including adding, modifying, deleting, releasing and the like of the rules, so that the rules can be flexibly managed and maintained;
rule testing and verification: and testing and verifying the written rule so that the rule can be correctly matched and judged, thereby ensuring the accuracy and stability of the rule engine.
Specifically, the rule definition module may define the following rules:
abnormal energy consumption alarm rule: comparing the energy data acquired in real time with a threshold value of the set energy consumption, and carrying out abnormal warning according to a comparison result, for example, if the current power consumption exceeds 2 times of the average current power consumption in the month, triggering the abnormal warning of the power consumption, and sending warning notification to related personnel so as to take measures in time for adjustment; illustratively, the calculation formula is as follows:
the threshold value is set: threshold
The current day power consumption: dailyPowerConsumption
Average power usage in month: monthlyAveragePowerConsumption
If the current power consumption exceeds 2 times of the average current power consumption, triggering an abnormal power consumption alarm:
if DailyPowerConsumption>2*MonthlyAveragePowerConsumption:
TriggerAlert (Power usage anomaly)
Energy consumption trend analysis rules: analyzing historical energy consumption data, judging the energy consumption increasing trend, and judging whether the energy consumption shows a trend of annual increase or month increase and the like, so that potential energy consumption problems can be early warned in advance, and measures can be timely taken for adjustment; illustratively, the calculation formula is as follows:
historical power usage: historicalPowerConsumption
Current power usage: currentPowerConsumption
Judging whether abnormal fluctuation occurs in the current power consumption compared with historical data through ring ratio and homonymy analysis:
if CurrentPowerConsumption>1.2*HistoricalPowerConsumption or CurrentPowerConsumption<0.8*HistoricalPowerConsumption:
TriggerAction ('power consumption trend anomaly')
Energy consumption comparison rule: comparing the energy consumption data of different time periods, different areas or different devices, judging the abnormal situation of energy consumption, for example, the energy consumption of a certain area in a certain time period is obviously higher than that of other areas, or the energy consumption of a certain device is obviously lower than that of other devices of the same type, and the like, thereby helping to identify potential energy consumption problems;
energy consumption prediction rules: analyzing and modeling historical energy consumption data, and predicting future energy consumption conditions, so that an energy supply and demand plan is made in advance, and activities such as energy purchasing, production and use are reasonably arranged; illustratively, the calculation formula is as follows:
historical power usage: historicalPowerConsumption
Current power usage: currentPowerConsumption
Judging whether abnormal fluctuation occurs in the current power consumption compared with historical data through ring ratio and homonymy analysis:
if CurrentPowerConsumption>1.2*HistoricalPowerConsumption or CurrentPowerConsumption<0.8*HistoricalPowerConsumption:
TriggerAction ('power consumption trend anomaly')
Energy efficiency evaluation rules: calculating energy consumption data, evaluating the use efficiency of energy, triggering processing actions according to the evaluation result, for example, calculating the ratio of power consumption to output, judging whether the current power consumption is in a reasonable range, if the current power consumption is lower than a set threshold, triggering an energy efficiency evaluation rule, sending an evaluation result to related personnel, and possibly triggering corresponding processing actions, for example, optimizing the running mode of equipment or performing energy adjustment; illustratively, the calculation formula is as follows:
power consumption: powerConsumption
Yield: output (Output)
Calculating the ratio of power consumption to output, and judging whether the current power consumption is in a reasonable range or not:
EnergyEfficiency＝PowerConsumption/Output
if EnergyEfficiency<Threshold:
TriggerAction ('low energy efficiency')
Regulation of energy consumption: based on the historical energy consumption data and the set threshold value, adjusting the energy consumption, for example, during the peak energy consumption period, automatically adjusting the running state of the equipment through rules, and reducing the energy consumption; or in a period of low energy demand, the operation mode of the equipment is automatically adjusted through rules, so that the energy utilization efficiency is improved;
abnormal energy consumption detection rules: based on the historical energy consumption data and the set threshold, reminding the existing energy consumption abnormal conditions, reminding related personnel of possible energy consumption abnormal conditions, such as that the electric power consumption exceeds the set peak threshold, the water supply consumption is lower than the set minimum threshold, and the like. Illustratively, the calculation formula is as follows:
abnormal power usage threshold = average power usage + k standard deviation power usage
If the current power consumption > power consumption abnormality threshold value, it is determined that the power consumption is abnormal
Where k is an adjustable parameter for controlling the detection sensitivity of anomalies, typically taking a value of 1.96, corresponding to a 95% confidence level of the normal distribution. If it is desired to increase the sensitivity, the value of k can be increased; the value of k can be reduced if it is desired to reduce the sensitivity.
The rules defined by the rule definition module are various and can be configured according to the energy management requirements, for example, data of meters or data of pipe networks (such as a water pipe network, a compressed air pipe network, a steam pipe network and the like) exist in the energy consumption data in the data acquisition module 1, and the following fault detection rules can be defined:
metering point fault detection rules: by monitoring and analyzing the data of meters (such as ammeter, thermometer, pressure gauge, etc.), it is detected whether the metering point has a fault condition. For example, by detecting abnormal readings, communication interruption and the like of the ammeter, judging whether the meter is faulty, if so, triggering corresponding processing actions, such as sending an alarm notice, and maintaining or replacing the meter;
pipe network fault detection rules: and detecting whether the pipe network has a fault condition or not by monitoring and analyzing the data of the pipe network. For example, by detecting the conditions of abnormal flow and abnormal pressure of the pipe network, whether the pipe network is faulty or not is judged, if so, corresponding processing actions are triggered, for example, an alarm notification is sent, and the pipe network is maintained or adjusted. For example, the difference between the current water network flow and the historical average flow can be calculated by counting and analyzing the water network flow data, and compared with a preset threshold value, if the current flow exceeds the threshold value, an alarm notification or other processing actions are triggered, and the calculation formula is as follows:
water pipe network flow difference = current moment water pipe network flow-historical average water pipe network flow
And if the water pipe network flow difference is greater than the threshold value, triggering a water pipe network flow abnormality alarm.
Specifically, the method for judging and processing the energy consumption data by the rule engine module 5 is as follows:
processing the collected energy consumption data by using statistical analysis, trend analysis and anomaly detection, extracting key indexes and characteristics, and using the key indexes and the characteristics as the basis for rule judgment;
matching the business rules defined in the rule definition module by using logic judgment, mathematical operation and mode matching;
and (3) carrying out condition judgment on the extracted key indexes and features and the matched business rules, generating rule execution results according to judgment results, and calling corresponding business action functions, such as functions of alarm analysis, alarm processing, alarm pushing, remote control record, IEC61850 remote control record and the like, so as to realize the intellectualization and automation of energy management.
The energy consumption monitoring and managing system based on the rule engine uses the rule engine to define and manage rules, and the rules comprise conditions and actions. The condition is judged based on the collected energy consumption data, can comprise information such as energy consumption, energy efficiency and the like, and can be combined through a logic operator. The actions define operations that the system needs to perform when the conditions are met, such as sending alert notifications, adjusting energy consumption, etc. The rules engine is used as follows: according to actual requirements, defining conditions of rules in a rule definition module, wherein the conditions comprise condition judgment of collected energy consumption data, such as energy consumption greater than a certain threshold value, energy efficiency lower than a certain standard and the like; the action of the rule, i.e. the operation that the system needs to perform when the condition is met, such as sending an alarm notification, adjusting the energy consumption, etc., is defined in the rule definition module. The action function can call a corresponding interface or method to operate according to actual requirements; the defined rules are imported into a rule engine module 5, and the rule engine automatically analyzes the rules and loads the rules into a rule base to prepare for real-time execution; when the system runs, the rule engine module 5 is started to start executing the defined rule in real time, the rule engine judges whether the condition is met according to the rule condition, and the corresponding action function is triggered to process when the condition is met. In the rule engine, the logic code and the service code are decoupled (i.e. the lower the coupling degree is, the lower the dependency degree between the modules is, the stronger the independence, reusability and portability of the modules are), so that the flexibility, expandability and maintainability of the software system can be greatly improved, and the development and maintenance cost is reduced. Specifically, the rule engine module 5 transmits the rule execution result to the service action module 6 according to the triggering condition of the service rule, so that the service action module 6 executes the corresponding service action, invokes the corresponding service logic to process, and executes the corresponding service action. Such as sending alarm notifications, controlling the operating status of the energy device, etc. The business action module 6 includes the following operations:
and executing the business action: according to the matched rules in the rule engine module 5, that is, according to the rule execution result generated in the rule engine module 5, executing corresponding business actions, such as sending alarms, adjusting equipment control parameters, generating reports, and the like;
business process management: management of execution of the business process, including operations such as start, pause, termination, etc. of the business process, so as to flexibly control and manage the business process;
business action monitoring and reporting: monitoring the execution condition of the service action, and generating a corresponding report so as to evaluate and optimize the execution result of the service action;
error handling and exception handling: and processing errors and anomalies in the execution process of the business actions, including measures such as error log record, anomaly processing and error recovery, so as to ensure the stability and reliability of the system.
Preferably, the energy consumption monitoring management system based on the rule engine further comprises an operation overview module 7, wherein the operation overview module 7 is responsible for reflecting the real-time safety condition of the equipment and displaying the real-time state of the main equipment, including power factors, real-time loads and the like. Meanwhile, the peak Gu Ping trend of energy use and real-time early warning information are displayed, wherein the early warning information comprises abnormal equipment operation and the like. Specifically, the operation overview module 7 is connected with the data acquisition module 1 to obtain real-time energy consumption data of the equipment, and the operation overview module 7 is connected with the rule engine module 5 to obtain real-time early warning information, provide real-time equipment state display, energy use trend analysis and real-time early warning information display, help operators comprehensively know real-time operation conditions of the equipment, and timely discover and process abnormal conditions of the equipment, thereby improving efficiency and accuracy of energy management.
Preferably, the energy consumption monitoring management system based on the rule engine further comprises a real-time monitoring module 8, wherein the real-time monitoring module 8 is responsible for monitoring the change condition of the energy consumption data in real time, including energy consumption, energy duty ratio, energy consumption trend and the like. Specifically, the real-time monitoring module 8 is connected with the data acquisition module 1 to acquire real-time operation parameters of the power distribution equipment, such as current, voltage, load and other data, and transmit the real-time operation parameters to the real-time monitoring module 8 for processing and display; the real-time monitoring module 8 is connected with the data processing module 2, so that the real-time monitoring module 8 can display related information, such as a graph, a trend chart and the like, according to requirements; the real-time monitoring module 8 is connected with the data storage module 3 so that the real-time monitoring module 8 can inquire and display historical trends. Specifically, the real-time monitoring module 8 may perform the following processes:
data analysis: the raw data acquired from the data acquisition module 1 are analyzed, and required parameter values such as current, voltage and the like are extracted.
And (3) data calculation: and calculating the acquired real-time operation parameter data, such as indexes of power factor, load factor and the like.
Data screening: and screening the collected real-time operation parameter data according to the requirements of the user, for example, screening the data according to the conditions of equipment, time range and the like.
Data presentation: the processed data is displayed to a user in the form of graphs, tables and the like, such as a graph for displaying real-time operation parameters, a circuit diagram of a power distribution network, a trend graph of historical energy consumption and the like, so that the user can intuitively know the state of the equipment and the energy consumption trend.
The operation overview module 7 and the real-time monitoring module 8 play an important role in monitoring and managing the operation state of the system in the whole system, and help system administrators and business users to better know the operation condition of the system and timely handle abnormal conditions by performing functions of real-time monitoring, information display, alarm, fault diagnosis and the like on the operation state of the system, so that the efficient and stable operation of the system is ensured, and the optimization and improvement of the system are supported. The main functions of the operation overview module 7 and the real-time monitoring module 8 include, but are not limited to, the following:
and (3) monitoring the running state: the operation overview module 7 and the real-time monitoring module 8 can monitor the operation state of the whole intelligent energy consumption monitoring system in real time, and the operation states comprise the operation states of modules such as data acquisition, data processing, a rule engine, business actions and the like. By monitoring the running state, abnormal conditions in the system can be found in time and measures can be taken to process, so that the normal running of the system is ensured;
and (3) displaying running state information: the running overview module 7 and the real-time monitoring module 8 can display running state information of the system to a system administrator and business users in an intuitive mode, for example, the running state information is presented in the form of a dashboard, a chart, a report form and the like, so that the users can comprehensively know the running state of the system, including energy consumption data, rule execution conditions, alarm information and the like, and decision making and management can be better carried out;
and (3) alarming in an operation state: the operation overview module 7 and the real-time monitoring module 8 can monitor the operation state of the system in real time according to the early warning rule configured by the system, and generate corresponding warning information when abnormal conditions are found, for example, the system manager and the service user are reminded in a mode of sending a notice, displaying the warning information and the like so as to take measures in time to solve potential problems;
fault diagnosis and treatment: when the system is in fault or abnormal condition, the operation overview module 7 and the real-time monitoring module 8 can diagnose and process the fault, for example, by means of log record, error report and the like, help a system administrator to quickly locate and solve the problem so as to ensure the stable operation of the system.
It should be noted that, referring to fig. 1 and 2, the real-time monitoring module 8 may be connected with the data collecting module 1 and the data processing module 2 indirectly by connecting with the data storage module 3, and the operation overview module 7 may also be connected with the data collecting module 1 and the rule engine module 5 indirectly by connecting with the real-time monitoring module 8.
The energy consumption monitoring management system based on the rule engine realizes the functions of data acquisition, data processing, rule judgment, service action execution, data storage, display and the like through the co-cooperation of the eight modules, and improves the efficiency and the accuracy of energy management. The real-time monitoring of the energy consumption data and the automatic execution of the alarm notification and control command are realized through the rule engine, so that the intelligent management and control of the energy management are realized.
Furthermore, the invention also provides an energy consumption monitoring and managing method based on the rule engine, which can be realized by adopting the energy consumption monitoring and managing system based on the rule engine, and comprises the following steps:
connecting a data source to collect energy consumption data;
preprocessing the collected raw data to extract effective energy consumption data;
storing and managing the extracted energy consumption data;
configuring business rules according to energy management requirements;
judging and processing the energy consumption data in real time according to the business rules to generate rule execution results;
and executing the business action according to the rule execution result.
The preferred embodiments of the present invention have been described in detail above with reference to the accompanying drawings, but the present invention is not limited to the specific details of the above embodiments, and various simple modifications can be made to the technical solution of the present invention within the scope of the technical concept of the present invention, and all the simple modifications belong to the protection scope of the present invention.
In addition, the specific features described in the above embodiments may be combined in any suitable manner without contradiction. The various possible combinations of the invention are not described in detail in order to avoid unnecessary repetition.
Moreover, any combination of the various embodiments of the invention can be made without departing from the spirit of the invention, which should also be considered as disclosed herein.
Claims (10)
1. An energy consumption monitoring and management system based on a rule engine, comprising:
the data acquisition module (1) is used for connecting a data source to acquire energy consumption data;
the data processing module (2) is used for preprocessing the collected original data to extract the effective energy consumption data;
a data storage module (3) for storing and managing the energy consumption data extracted by the data processing module (2);
the rule definition module (4) is used for configuring business rules according to the energy management requirements;
the rule engine module (5) is used for judging and processing the energy consumption data in real time according to the business rule to generate a rule execution result;
and the business action module (6) executes business actions according to the rule execution result.
2. The rule engine-based energy consumption monitoring management system of claim 1, wherein the energy consumption data comprises an energy type, an energy consumption amount, a time stamp, and location information.
3. The rule engine-based energy consumption monitoring management system according to claim 1, wherein the data processing module (2) pre-processes the raw data by:
data cleaning: cleaning the original data;
data conversion: converting the energy consumption data into a unified unit and format;
data aggregation: the energy consumption data are aggregated according to a designed time period;
data normalization: carrying out standardized processing on the energy consumption data so as to enable the data to have uniform scale and range;
abnormality detection: and detecting an abnormal value or an outlier existing in the energy consumption data so as to correct or exclude the abnormal value or the outlier.
4. The rule engine-based energy consumption monitoring management system according to claim 1, wherein the rule definition module (4) is further configured to:
rule writing and editing: providing a rule definition language or tool for writing and editing rules;
rule management and version control: managing and version controlling rules;
rule testing and verification: the written rules are tested and validated to enable the rules to match and judge conditions correctly.
5. The rule engine-based energy consumption monitoring management system according to claim 1, wherein the rule definition module (4) defines the following rules:
abnormal energy consumption alarm rule: comparing the energy data acquired in real time with a threshold value of the set energy consumption, and carrying out abnormal alarm according to a comparison result;
energy consumption trend analysis rules: analyzing historical energy consumption data, judging an energy consumption increasing trend, and early warning potential energy consumption problems in advance;
energy consumption comparison rule: comparing the energy consumption data of different time periods, different areas or different devices, and judging abnormal energy consumption conditions;
energy consumption prediction rules: analyzing and modeling historical energy consumption data, and predicting future energy consumption conditions;
energy efficiency evaluation rules: calculating the energy consumption data, evaluating the use efficiency of energy, and triggering a processing action according to an evaluation result;
regulation of energy consumption: and adjusting the energy consumption based on the historical energy consumption data and the set threshold.
6. The energy consumption monitoring management system based on a rule engine according to claim 1, wherein the method for judging and processing the energy consumption data by the rule engine module (5) is as follows:
processing the collected energy consumption data by using statistical analysis, trend analysis and anomaly detection, and extracting key indexes and characteristics;
matching the business rules defined in the rule definition module (4) by using logic judgment, mathematical operation and mode matching;
and carrying out condition judgment on the extracted key indexes and features and the matched business rules, and generating rule execution results according to judgment results.
7. The energy consumption monitoring management system based on a rule engine according to claim 6, characterized in that the business action module (6) is adapted to perform the following operations:
and executing the business action: executing corresponding business actions according to the rule execution result;
business process management: managing execution of the business process;
business action monitoring and reporting: monitoring the execution condition of the service action, and generating a corresponding report so as to evaluate and optimize the execution result of the service action;
error handling and exception handling: and processing errors and anomalies in the execution process of the business actions.
8. The energy consumption monitoring management system based on the rule engine according to claim 1, further comprising an operation overview module (7), wherein the operation overview module (7) is connected with the data acquisition module (1) to acquire real-time energy consumption data of a device, and the operation overview module (7) is connected with the rule engine module (5) to acquire real-time early warning information.
9. The energy consumption monitoring management system based on the rule engine according to claim 8, further comprising a real-time monitoring module (8), wherein the real-time monitoring module (8) is respectively connected with the data acquisition module (1), the data processing module (2), the data storage module (3) and the operation overview module (7) to monitor the change condition of the energy consumption data in real time.
10. The energy consumption monitoring and managing method based on the rule engine is characterized by comprising the following steps:
connecting a data source to collect energy consumption data;
preprocessing the collected raw data to extract effective energy consumption data;
storing and managing the extracted energy consumption data;
configuring business rules according to energy management requirements;
judging and processing the energy consumption data in real time according to the business rules to generate rule execution results;
and executing the business action according to the rule execution result.
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