CN116865451A - Intelligent power consumption control management system and method - Google Patents
Intelligent power consumption control management system and method Download PDFInfo
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- CN116865451A CN116865451A CN202311131713.7A CN202311131713A CN116865451A CN 116865451 A CN116865451 A CN 116865451A CN 202311131713 A CN202311131713 A CN 202311131713A CN 116865451 A CN116865451 A CN 116865451A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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Abstract
The invention discloses an intelligent power consumption control management system and method, and belongs to the technical field of intelligent power grids. According to the intelligent power consumption management system, the power consumption acquisition terminal forwards the read real-time power consumption data of each electric equipment to the intelligent power consumption management platform through the gateway communication equipment, the intelligent power consumption management platform obtains the running state and the load characteristic of each electric equipment based on the processed real-time power consumption data, the power consumption evaluation and the power consumption safety evaluation are carried out on each electric equipment, the evaluation result is sent to the monitoring terminal, the monitoring terminal generates corresponding control instructions based on the evaluation result and sends the control instructions to the power consumption acquisition terminal, the control of each electric equipment is achieved, the intelligent power consumption management platform can also generate corresponding visual display interfaces based on the control results and send the visual display interfaces to the user terminal, so that users can check the running state and the load characteristic of each electric equipment, and the effective control of the electric equipment can be achieved.
Description
Technical Field
The invention relates to the technical field of intelligent power grids, in particular to an intelligent power consumption control management system and method.
Background
The non-invasive load monitoring (NILM) technology can monitor the electricity utilization behavior of a user in real time, has low equipment installation cost and high user acceptance, and becomes an important technical means for realizing friendly interaction between the user and a power grid.
The main mode adopted in the current non-invasive load monitoring technology is to represent the running state of each electric appliance by a state code, and to carry out mapping training on the total signal to be decomposed and the state code of the electric appliance on a depth sequence translation model, and to realize load decomposition based on a decomposition frame of a multi-objective evolutionary algorithm. However, the method cannot effectively cope with the scene of more electric appliances, has the problems of slow response and lower precision, and cannot realize the effective control of electricity utilization.
Disclosure of Invention
The invention mainly aims to provide an intelligent electricity utilization control management system and method, and aims to solve the technical problems that the system and the method cannot effectively cope with the scene of more electric appliances, have slow response and lower precision and cannot effectively control the electricity utilization.
In order to achieve the above purpose, the invention provides an intelligent electricity consumption control management system, which comprises an electricity consumption acquisition terminal, gateway communication equipment, an intelligent electricity consumption management platform and a monitoring terminal;
the electricity acquisition terminal is used for reading the real-time electricity data of each electric equipment acquired by the meter reading device, judging whether the meter reading device achieves a preset sampling period when acquiring the real-time electricity data, and if the meter reading device achieves the preset sampling period, forwarding the read real-time electricity data of each electric equipment to the intelligent electricity management platform through the gateway communication equipment;
the intelligent electricity management platform is used for receiving the real-time electricity consumption data of each electric device uploaded by the electricity collection terminal, carrying out data processing on the real-time electricity consumption data of each electric device, dividing the running state of each electric device and decomposing the load according to the processed real-time electricity consumption data to obtain the running state and the load characteristic of each electric device, carrying out electricity consumption assessment and electricity consumption safety assessment on each electric device based on the running state and the load characteristic of each electric device to obtain an assessment result, and sending the assessment result to the monitoring terminal;
the monitoring terminal is used for receiving the evaluation result sent by the intelligent electricity consumption management platform, generating a corresponding control instruction based on the evaluation result, and forwarding the control instruction to the electricity consumption acquisition terminal through the gateway communication equipment so that each electric equipment corresponding to the electricity consumption acquisition terminal responds to the control instruction and executes corresponding operation to control each electric equipment;
the monitoring terminal is used for feeding back a control result to the intelligent electricity management platform;
the intelligent electricity management platform is used for receiving the control result fed back by the monitoring terminal, generating a corresponding visual display interface based on the control result, and sending the visual display interface to the user terminal for the user to check.
Optionally, the intelligent electricity management platform is configured to obtain a device type and historical electricity data of each electric device, obtain a corresponding relation between a historical operation state of each electric device and a device type of each electric device according to the historical electricity data, construct a feature data set, and obtain an operation state of each electric device by comparing the feature data set with the processed real-time electricity data;
the intelligent electricity management platform is used for acquiring the electricity power of each electric equipment from the processed real-time electricity data, and carrying out load decomposition by combining the running state of each electric equipment to obtain the load characteristics of each electric equipment.
Optionally, the intelligent electricity management platform is configured to construct a data matrix corresponding to the processed real-time electricity data, respectively perform dimension reduction on the data matrix according to different dimension reduction modes to obtain multiple groups of dimension reduced data matrices, respectively extract corresponding electricity utilization device features from the multiple groups of dimension reduced data matrices, cluster the extracted multiple electricity utilization device features based on a target cluster center to obtain equipment types of the electricity utilization devices, and perform feature comparison on the feature data set and the processed real-time electricity data based on the equipment types to obtain operation states of the electricity utilization devices.
Optionally, the intelligent electricity management platform is configured to obtain neighborhood data corresponding to the processed real-time electricity data, determine a sample point density of the neighborhood data, determine a data type of the neighborhood data based on the sample point density, where the data type includes full neighborhood data and partial neighborhood data, calculate a neighborhood radius of the neighborhood data through a first parameter if the neighborhood data is the full neighborhood data, calculate the neighborhood radius of the neighborhood data through a second parameter if the neighborhood data is the partial neighborhood data, and determine a target cluster center according to the neighborhood radius if the first parameter is greater than the second parameter.
Optionally, the intelligent electricity management platform is configured to determine complexity of an operation state of each electric device, divide each electric device into an electric device in a first operation state and an electric device in a second operation state based on the complexity, where the complexity of the first operation state is greater than that of the second operation state, combine the electricity power of each electric device obtained from the processed real-time electricity data to respectively construct a first power sequence corresponding to the electric device in the first operation state and a second power sequence corresponding to the electric device in the second operation state, and respectively solve the first power sequence and the second power sequence by using gaussian distribution to obtain load characteristics of each electric device.
Optionally, the intelligent electricity management platform is configured to perform electricity consumption evaluation on each electric device based on the load characteristics of each electric device, obtain an energy consumption value of each electric device, and obtain a first evaluation value of each electric device according to the energy consumption value;
the intelligent electricity management platform is used for detecting whether the operation abnormality exists in each electric equipment based on the operation state of each electric equipment, obtaining the operation safety value of each electric equipment based on the detection result, and obtaining a second evaluation value of each electric equipment according to the operation safety value;
the intelligent electricity management platform is used for obtaining a target evaluation value according to the first evaluation value and the second evaluation value and taking the target evaluation value as an evaluation result.
In addition, to achieve the above object, the present invention also proposes a smart electricity consumption control management method applied to the smart electricity consumption control management system as set forth in any one of the above, the smart electricity consumption control management method comprising:
the electricity acquisition terminal reads the real-time electricity data of each electric equipment acquired by the meter reader, judges whether the meter reader reaches a preset sampling period when acquiring the real-time electricity data, and forwards the read real-time electricity data of each electric equipment to the intelligent electricity management platform through the gateway communication equipment if the meter reader reaches the preset sampling period;
the intelligent electricity management platform receives the real-time electricity data of each electric device uploaded by the electricity acquisition terminal, processes the data of the real-time electricity data of each electric device, divides the running state of each electric device and decomposes the load according to the processed real-time electricity data to obtain the running state and load characteristics of each electric device, evaluates the electricity consumption and the electricity safety of each electric device based on the running state and load characteristics of each electric device to obtain an evaluation result, and sends the evaluation result to the monitoring terminal;
the monitoring terminal receives an evaluation result sent by the intelligent electricity management platform, generates a corresponding control instruction based on the evaluation result, and forwards the control instruction to the electricity acquisition terminal through the gateway communication equipment so that each electric equipment corresponding to the electricity acquisition terminal responds to the control instruction and executes corresponding operation to control each electric equipment;
the monitoring terminal feeds back a control result to the intelligent electricity management platform;
the intelligent electricity management platform receives a control result fed back by the monitoring terminal, generates a corresponding visual display interface based on the control result, and sends the visual display interface to the user terminal for the user to check.
Optionally, the dividing the running state and the load decomposing of each electric equipment according to the processed real-time electricity consumption data to obtain the running state and the load characteristic of each electric equipment, including:
the intelligent electricity management platform acquires the equipment type and the historical electricity data of each electric equipment, acquires the corresponding relation between the historical running state of each electric equipment and the equipment type of each electric equipment according to the historical electricity data, constructs a characteristic data set, and obtains the running state of each electric equipment by comparing the characteristic data set with the processed real-time electricity data;
the intelligent electricity management platform acquires the electricity power of each electric equipment from the processed real-time electricity data, and carries out load decomposition by combining the running state of each electric equipment to obtain the load characteristics of each electric equipment.
Optionally, the obtaining the running state of each electric equipment by comparing the feature data set with the processed real-time electricity data includes:
the intelligent electricity management platform constructs a data matrix corresponding to the processed real-time electricity data, reduces the dimensions of the data matrix according to different dimension reduction modes, obtains a plurality of groups of dimension reduction data matrixes, extracts corresponding electricity utilization device characteristics from each group of dimension reduction data matrixes, clusters the extracted electricity utilization device characteristics based on a target clustering center, obtains the equipment type of the electricity utilization device, and compares the characteristic data set with the processed real-time electricity data based on the equipment type to obtain the running state of each electricity utilization device.
Optionally, the load decomposition is performed by combining the operation states of the electric devices to obtain the load characteristics of the electric devices, including:
the intelligent electricity management platform determines the complexity of the running state of each electric device, divides each electric device into the electric device in the first running state and the electric device in the second running state based on the complexity, wherein the complexity of the first running state is larger than that of the second running state, and the first power sequence corresponding to the electric device in the first running state and the second power sequence corresponding to the electric device in the second running state are respectively constructed by combining the electric power of each electric device obtained from the processed real-time electricity data, and the load characteristics of each electric device are obtained by solving the first power sequence and the second power sequence by Gaussian distribution.
The invention reads the real-time electricity data of each electric equipment acquired by the meter reading device by the electricity acquisition terminal, judges whether the meter reading device reaches a preset sampling period when acquiring the real-time electricity data, if the meter reading device reaches the preset sampling period, the read real-time electricity data of each electric equipment is forwarded to the intelligent electricity management platform through the gateway communication equipment, the intelligent electricity management platform receives the real-time electricity data of each electric equipment uploaded by the electricity acquisition terminal, carries out data processing on the real-time electricity data of each electric equipment, carries out operation state division and load decomposition on each electric equipment according to the processed real-time electricity data, obtains the operation state and load characteristics of each electric equipment, carries out electricity consumption assessment and electricity safety assessment on each electric equipment based on the operation state and load characteristics of each electric equipment, obtaining an evaluation result, sending the evaluation result to the monitoring terminal, receiving the evaluation result sent by the intelligent electricity management platform by the monitoring terminal, generating a corresponding control instruction based on the evaluation result, forwarding the control instruction to the electricity acquisition terminal through the gateway communication equipment, enabling each electric equipment corresponding to the electricity acquisition terminal to respond to the control instruction and execute corresponding operation so as to realize control of each electric equipment, feeding back the control result to the intelligent electricity management platform by the monitoring terminal, receiving the control result fed back by the monitoring terminal by the intelligent electricity management platform, generating a corresponding visual display interface based on the control result, sending the visual display interface to the user terminal for viewing by a user, the method can effectively cope with the scene of multiple electric appliances, and realize effective control of electric equipment.
Drawings
FIG. 1 is a block diagram of a first embodiment of a smart electricity consumption control management system according to the present invention;
FIG. 2 is a flowchart of a first embodiment of the intelligent electricity consumption control management method of the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1, an embodiment of the present invention provides a smart electricity consumption control management system, and fig. 1 is a block diagram of a first embodiment of the smart electricity consumption control management system according to the present invention.
In this embodiment, the intelligent electricity consumption control management system includes an electricity consumption acquisition terminal 10, a gateway communication device 20, an intelligent electricity consumption management platform 30, and a monitoring terminal 40, where the gateway communication device 20 can support bidirectional internet communication; the system can support various communication modes such as Ethernet, WIFI, ethernet, 4G, NB-IOT and the like; the downward serial port communication function and the data calculation and analysis timing storage function are supported; the two-way RS485 communication is supported, and the data acquisition and control functions of the circuit breaker product of the Internet of things are realized; the power consumption information such as real-time voltage, real-time current, real-time leakage current, real-time temperature, electric quantity and the like of each line can be checked, and the alarm information display such as short circuit, leakage, overvoltage and undervoltage, overload, overtemperature, ignition, phase failure alarm and the like is realized; the system has a liquid crystal display function, and can display the number of connected switches of the Internet of things and the state of online or offline products; the original factory setting of the gateway can be restored and restarted; the gateway protocol can support MQTT protocol access; the automatic address allocation function of issuing the internet of things circuit breakers is provided, and the number of automatic connections is not less than 22; operating voltage: inputs 180-264VAC output: DC12V; rated power: 22W, keeping 22W to work for a long time; standby power consumption is less than or equal to 0.65W, and instantaneous maximum power is as follows: 39-40W may last for 10-15 seconds; working environment: -15-45 ℃; working accuracy: the precision range is voltage (error + -1%), current (error + -1%), active power (error + -1%), temperature (error + -1%); (providing detection report), installation site elevation: not higher than 2000m; the installation mode is as follows: DIN standard rail; mounting size: the width is less than or equal to 36 (mm), the whole data transmission process of the intelligent power utilization control system can be safer through the gateway communication equipment 20, the intelligent power utilization control system is not interfered by other signals, and the control precision is improved. The intelligent electricity management platform 30 supports client application, web supports mobile terminal application, and the APP system function Web terminal can realize remote control, remote measurement, remote adjustment and remote signaling, realize remote control equipment, realize remote data monitoring, realize electricity consumption parameter adjustment and realize data communication. In addition, the method also supports maximum 100 timing, alarming and early warning popup window prompts, stores three-year electricity utilization data, remote upgrade, user management, authority management, project creation, energy efficiency analysis, alarming and processing and the like.
In a specific implementation, the electricity collection terminal 10 reads the real-time electricity consumption data of each electric device collected by the meter reader, and forwards the read real-time electricity consumption data of each electric device to the intelligent electricity consumption management platform 30 through the gateway communication device 20. In order to ensure the integrity of the data, it is necessary to determine whether the meter reading device reaches a preset sampling period, and if the meter reading device reaches the preset sampling period, the electricity collection terminal 10 forwards the read real-time electricity consumption data of each electric device to the intelligent electricity consumption management platform 30 through the gateway communication device 20, so that the real-time electricity consumption data can be ensured to be in a complete period, wherein the preset sampling period can be set by itself without limitation.
Further, after receiving the real-time electricity data of each electric device, the intelligent electricity management platform 30 performs data processing on the real-time electricity data of each electric device, so as to obtain processed real-time electricity data, where the data processing process may include removing the electricity data which obviously does not conform to the actual situation, for example, a threshold may be set for the current, and a current value greater than the threshold may be removed, where the electricity data processing in this embodiment may perform, besides processing the abnormal data, further perform data deduplication, for example, remove the repeated data, and perform data processing in other manners, which is also not limited in this embodiment. After obtaining the processed real-time electricity consumption data, the intelligent electricity consumption management platform 30 may obtain the running state and load characteristics of each electric device according to the processed real-time electricity consumption data, then perform electricity consumption assessment and electricity consumption safety assessment on each electric device based on the running state and load characteristics of each electric device, obtain an assessment result, and finally send the assessment result to the monitoring terminal 40.
Further, the intelligent electricity management platform 30 in this embodiment may obtain the device type and the historical electricity data of each electric device, construct a feature data set according to the corresponding relationship between the historical operation state of each electric device and the device type of each electric device obtained by the historical electricity data, obtain the operation state of each electric device by comparing the feature data set with the processed real-time electricity data, obtain the electricity power of each electric device from the processed real-time electricity data, and perform load decomposition in combination with the operation state of each electric device, so as to obtain the load feature of each electric device.
Specifically, a data matrix corresponding to the processed real-time power consumption data is firstly constructed, then the data matrix is subjected to dimension reduction according to different dimension reduction modes to obtain a plurality of groups of data matrices subjected to dimension reduction, the different dimension reduction modes are used for example for carrying out dimension reduction through a projection matrix, the data matrix is assumed to be X, the projection matrix is U, the dimension reduction data matrix Y=UTX, and the dimension reduction data matrix Y=tr (LX), wherein tr () represents the trace of the matrix, L=D-W, D is a degree matrix corresponding to X, W is a weight matrix corresponding to X, and then, if Y= (X-AYT), A is a weight matrix corresponding to X, and Y is a dimension reduction data matrix, different characteristics under the same power consumption data can be obtained through the plurality of dimension reduction modes, then the extracted characteristics of the plurality of power consumption equipment are clustered based on a target clustering center, and the obtained equipment types are used for comparing the characteristic data set with the real-time power consumption data after processing based on the equipment types, so that the running states of the power consumption equipment are obtained.
The method comprises the steps of obtaining neighborhood data corresponding to the processed real-time electricity data, determining sample point density of the neighborhood data, judging the data type of the neighborhood data based on the sample point density, calculating the neighborhood radius of the neighborhood data through a first parameter if the neighborhood data is full neighborhood data, calculating the neighborhood radius of the neighborhood data through a second parameter if the neighborhood data is partial neighborhood data, determining a target clustering center according to the neighborhood radius, and specifically, assuming that the real-time electricity data represent X= (X1, X2..xn), judging the data type of the neighborhood data based on the sample point density, and calculating the neighborhood radius of the neighborhood data based on a first parameter if the neighborhood data is full neighborhood data, for example, R=θ|X-xi|2, wherein θ represents the first parameter. When the sample density does not exceed the preset density, the neighborhood data is partial neighborhood data, and the neighborhood radius of the neighborhood data is calculated based on a second parameter, for example, r=α (X n Xi)/Xi, where α represents the second parameter. After the neighborhood radius is obtained, if the distance between two adjacent sampling points in X and Xi is larger than 2R, the sample point with large density in the neighborhood data Xi is used as a target clustering center.
Further, in this embodiment, the complexity of the running state of each electric device may be determined, based on the complexity, each electric device is divided into an electric device in a first running state and an electric device in a second running state, where the complexity of the first running state is greater than that of the second running state, and the first power sequences corresponding to the electric devices in the first running state are respectively constructed by combining the electric power of each electric device obtained from the processed real-time electric dataAnd solving the first power sequence and the second power sequence by using Gaussian distribution respectively to obtain the load characteristics of each electric equipment. The first operating state is a simple-state electric device, such as an electric lamp, and the second operating state is a complex-state electric device, such as an air conditioner, and in this embodiment, a first power sequence and a second power sequence, such as p1= (Px 1, px2,.. Pxn) and P2 (Py 1, py2,.. Pyn), may be obtained, respectively, where the average value of the gaussian distribution used in this embodiment is μj, the standard deviation is σj, and f (x) =1/(σ2pi) ×exp [ - (P- μ) is substituted for the first power sequence and the second power sequence, respectively 2 /2σ 2 ]Wherein P can be arbitrarily selected from the first power sequence and the second power sequence.
Further, the acquiring process of the evaluation result is to perform power consumption evaluation on each electric device based on the load characteristics of each electric device to obtain an energy consumption value of each electric device, obtain a first evaluation value of each electric device according to the energy consumption value, detect whether each electric device has an abnormal operation condition based on the operation state of each electric device, obtain an operation safety value of each electric device based on the detection result, obtain a second evaluation value of each electric device according to the operation safety value, obtain a target evaluation value according to the first evaluation value and the second evaluation value, and take the target evaluation value as the evaluation result. For example, based on the operation state of each electric device, it may be detected that an abnormal situation exists, if an abnormal daily condition exists, the second evaluation value is B2, if no abnormal condition exists, the second evaluation value is A2, if the energy consumption value is higher than the set value, the first evaluation value is B1, if the energy consumption value is not higher than the set value, the first evaluation value is A1, and finally the target evaluation value may be obtained by weighting or averaging the first evaluation value and the second evaluation value, which is not limited in this embodiment.
In a specific implementation, after receiving the evaluation result, the monitoring terminal 40 can determine the electric equipment running abnormally and the electric equipment with excessive energy consumption based on the evaluation result, and then generate a corresponding control instruction, and the control instruction is forwarded to the electric acquisition terminal 10 through the gateway communication device 20, and the electric acquisition terminal 10 is connected with each electric equipment, so that after receiving the control instruction, the electric acquisition terminal 10 can control the electric equipment to execute a corresponding operation, such as power outage or power limitation, the monitoring terminal 40 can feed back the control result to the intelligent electric management platform 30 after the series of operations are executed, the intelligent electric management platform 30 can send the control result to the user terminal in a network mode for the user to check, and in order to facilitate the user to check, in the embodiment, the intelligent electric management platform 30 can generate a corresponding visual display interface according to the control result, the user can intuitively see the electric equipment running normally and the electric equipment running abnormally, and the electric equipment with higher energy consumption can also be highlighted, and the user experience is improved.
In this embodiment, the electricity collection terminal reads the real-time electricity data of each electric device collected by the meter reader, determines whether the meter reader reaches a preset sampling period when collecting the real-time electricity data, if so, forwards the read real-time electricity data of each electric device to the intelligent electricity management platform through the gateway communication device, the intelligent electricity management platform receives the real-time electricity data of each electric device uploaded by the electricity collection terminal, performs data processing on the real-time electricity data of each electric device, performs operation state division and load decomposition on each electric device according to the processed real-time electricity data to obtain operation states and load characteristics of each electric device, performs electricity consumption evaluation and electricity safety evaluation on each electric device based on the operation states and load characteristics of each electric device, obtains evaluation results, and sends the evaluation results to the monitoring terminal, the monitoring terminal receives the evaluation results sent by the intelligent electricity management platform, generates corresponding control instructions based on the evaluation results, forwards the control instructions to the gateway communication device to the intelligent electricity collection management platform, sends the intelligent electricity management platform to the intelligent electricity management platform based on the control results, and sends the control instructions to the intelligent electricity collection management platform, and sends the control results to the intelligent electricity management platform based on the control information, and the control terminal receives the control results to the intelligent electricity management platform, and the intelligent electricity management platform receives the control results, and the control information, and the control terminal control results are displayed by the intelligent electricity management platform, the method can effectively cope with the scene of multiple electric appliances, and realize effective control of electric equipment.
Referring to fig. 2, fig. 2 is a flowchart illustrating a first embodiment of the intelligent electricity consumption control management method according to the present invention.
In the embodiment of the invention, the intelligent electricity consumption control management method comprises the following steps:
step S100: the electricity consumption acquisition terminal reads the real-time electricity consumption data of each electric equipment acquired by the meter reading device, judges whether the meter reading device achieves a preset sampling period when acquiring the real-time electricity consumption data, and forwards the read real-time electricity consumption data of each electric equipment to the intelligent electricity consumption management platform through the gateway communication equipment if the meter reading device achieves the preset sampling period.
Step S200: the intelligent electricity management platform receives the real-time electricity data of each electric device uploaded by the electricity collection terminal, processes the data of the real-time electricity data of each electric device, divides the running state of each electric device and decomposes the load according to the processed real-time electricity data to obtain the running state and load characteristics of each electric device, evaluates the electricity consumption and the electricity safety of each electric device based on the running state and load characteristics of each electric device to obtain an evaluation result, and sends the evaluation result to the monitoring terminal.
Step S300: the monitoring terminal receives the evaluation result sent by the intelligent electricity management platform, generates a corresponding control instruction based on the evaluation result, and forwards the control instruction to the electricity collection terminal through the gateway communication equipment, so that each electric equipment corresponding to the electricity collection terminal responds to the control instruction and executes corresponding operation, and control of each electric equipment is achieved.
Step S400: and the monitoring terminal feeds back a control result to the intelligent electricity management platform.
Step S500: the intelligent electricity management platform receives a control result fed back by the monitoring terminal, generates a corresponding visual display interface based on the control result, and sends the visual display interface to the user terminal for the user to check.
In this embodiment, the electricity collection terminal reads the real-time electricity data of each electric device collected by the meter reader, determines whether the meter reader reaches a preset sampling period when collecting the real-time electricity data, if so, forwards the read real-time electricity data of each electric device to the intelligent electricity management platform through the gateway communication device, the intelligent electricity management platform receives the real-time electricity data of each electric device uploaded by the electricity collection terminal, performs data processing on the real-time electricity data of each electric device, performs operation state division and load decomposition on each electric device according to the processed real-time electricity data to obtain operation states and load characteristics of each electric device, performs electricity consumption evaluation and electricity safety evaluation on each electric device based on the operation states and load characteristics of each electric device, obtains evaluation results, and sends the evaluation results to the monitoring terminal, the monitoring terminal receives the evaluation results sent by the intelligent electricity management platform, generates corresponding control instructions based on the evaluation results, forwards the control instructions to the gateway communication device to the intelligent electricity collection management platform, sends the intelligent electricity management platform to the intelligent electricity management platform based on the control results, and sends the control instructions to the intelligent electricity collection management platform, and sends the control results to the intelligent electricity management platform based on the control information, and the control terminal receives the control results to the intelligent electricity management platform, and the intelligent electricity management platform receives the control results, and the control information, and the control terminal control results are displayed by the intelligent electricity management platform, the method can effectively cope with the scene of multiple electric appliances, and realize effective control of electric equipment.
It should be understood that the foregoing is illustrative only and is not limiting, and that in specific applications, those skilled in the art may set the invention as desired, and the invention is not limited thereto.
It should be noted that the above-described working procedure is merely illustrative, and does not limit the scope of the present invention, and in practical application, a person skilled in the art may select part or all of them according to actual needs to achieve the purpose of the embodiment, which is not limited herein.
In addition, technical details not described in detail in this embodiment may refer to the intelligent electricity consumption control management system and method provided in any embodiment of the present invention, and are not described herein.
Furthermore, it should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of embodiments, it will be clear to a person skilled in the art that the above embodiment method may be implemented by means of software plus a necessary general hardware platform, but may of course also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. Read Only Memory (ROM)/RAM, magnetic disk, optical disk) and comprising several instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method according to the embodiments of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (10)
1. The intelligent electricity utilization control management system is characterized by comprising an electricity utilization acquisition terminal, gateway communication equipment, an intelligent electricity utilization management platform and a monitoring terminal;
the electricity acquisition terminal is used for reading the real-time electricity data of each electric equipment acquired by the meter reading device, judging whether the meter reading device achieves a preset sampling period when acquiring the real-time electricity data, and if the meter reading device achieves the preset sampling period, forwarding the read real-time electricity data of each electric equipment to the intelligent electricity management platform through the gateway communication equipment;
the intelligent electricity management platform is used for receiving the real-time electricity consumption data of each electric device uploaded by the electricity collection terminal, carrying out data processing on the real-time electricity consumption data of each electric device, dividing the running state of each electric device and decomposing the load according to the processed real-time electricity consumption data to obtain the running state and the load characteristic of each electric device, carrying out electricity consumption assessment and electricity consumption safety assessment on each electric device based on the running state and the load characteristic of each electric device to obtain an assessment result, and sending the assessment result to the monitoring terminal;
the monitoring terminal is used for receiving the evaluation result sent by the intelligent electricity consumption management platform, generating a corresponding control instruction based on the evaluation result, and forwarding the control instruction to the electricity consumption acquisition terminal through the gateway communication equipment so that each electric equipment corresponding to the electricity consumption acquisition terminal responds to the control instruction and executes corresponding operation to control each electric equipment;
the monitoring terminal is used for feeding back a control result to the intelligent electricity management platform;
the intelligent electricity management platform is used for receiving the control result fed back by the monitoring terminal, generating a corresponding visual display interface based on the control result, and sending the visual display interface to the user terminal for the user to check.
2. The system of claim 1, wherein the intelligent electricity management platform is configured to obtain a device type and historical electricity consumption data of each electric device, obtain a feature data set according to a corresponding relation between a historical operation state of each electric device and a device type of each electric device according to the historical electricity consumption data, and obtain an operation state of each electric device by comparing features of the feature data set with the processed real-time electricity consumption data;
the intelligent electricity management platform is used for acquiring the electricity power of each electric equipment from the processed real-time electricity data, and carrying out load decomposition by combining the running state of each electric equipment to obtain the load characteristics of each electric equipment.
3. The system of claim 2, wherein the intelligent electricity management platform is configured to construct a data matrix corresponding to the processed real-time electricity data, respectively perform dimension reduction on the data matrix according to different dimension reduction modes to obtain a plurality of groups of dimension reduced data matrices, respectively extract corresponding electricity utilization device features from each group of dimension reduced data matrices, cluster the extracted plurality of electricity utilization device features based on a target cluster center to obtain equipment types of the electricity utilization devices, and perform feature comparison on the feature data set and the processed real-time electricity data based on the equipment types to obtain operation states of each electricity utilization device.
4. The system of claim 3, wherein the intelligent electricity management platform is configured to obtain neighborhood data corresponding to the processed real-time electricity data, determine a sample point density of the neighborhood data, determine a data type of the neighborhood data based on the sample point density, and determine a target cluster center according to the neighborhood radius, wherein the data type includes full neighborhood data and partial neighborhood data, if the neighborhood data is full neighborhood data, a neighborhood radius of the neighborhood data is calculated by a first parameter, and if the neighborhood data is partial neighborhood data, a neighborhood radius of the neighborhood data is calculated by a second parameter, and the first parameter is greater than the second parameter.
5. The system of claim 2, wherein the intelligent electricity management platform is configured to determine a complexity of an operation state of each electric device, divide each electric device into an electric device in a first operation state and an electric device in a second operation state based on the complexity, wherein the complexity of the first operation state is greater than that of the second operation state, and combine the electric power of each electric device obtained from the processed real-time electricity data to respectively construct a first power sequence corresponding to the electric device in the first operation state and a second power sequence corresponding to the electric device in the second operation state, and respectively solve the first power sequence and the second power sequence by using gaussian distribution to obtain a load characteristic of each electric device.
6. The system of claim 1, wherein the intelligent electricity management platform is configured to perform electricity consumption evaluation on each electric device based on load characteristics of each electric device to obtain an energy consumption value of each electric device, and according to the energy consumption value, obtain a first evaluation value of each electric device;
the intelligent electricity management platform is used for detecting whether the operation abnormality exists in each electric equipment based on the operation state of each electric equipment, obtaining the operation safety value of each electric equipment based on the detection result, and obtaining a second evaluation value of each electric equipment according to the operation safety value;
the intelligent electricity management platform is used for obtaining a target evaluation value according to the first evaluation value and the second evaluation value and taking the target evaluation value as an evaluation result.
7. A smart electricity consumption control management method, characterized in that the method is applied to the smart electricity consumption control management system according to any one of claims 1 to 6, the smart electricity consumption control management method comprising:
the electricity acquisition terminal reads the real-time electricity data of each electric equipment acquired by the meter reader, judges whether the meter reader reaches a preset sampling period when acquiring the real-time electricity data, and forwards the read real-time electricity data of each electric equipment to the intelligent electricity management platform through the gateway communication equipment if the meter reader reaches the preset sampling period;
the intelligent electricity management platform receives the real-time electricity data of each electric device uploaded by the electricity acquisition terminal, processes the data of the real-time electricity data of each electric device, divides the running state of each electric device and decomposes the load according to the processed real-time electricity data to obtain the running state and load characteristics of each electric device, evaluates the electricity consumption and the electricity safety of each electric device based on the running state and load characteristics of each electric device to obtain an evaluation result, and sends the evaluation result to the monitoring terminal;
the monitoring terminal receives an evaluation result sent by the intelligent electricity management platform, generates a corresponding control instruction based on the evaluation result, and forwards the control instruction to the electricity acquisition terminal through the gateway communication equipment so that each electric equipment corresponding to the electricity acquisition terminal responds to the control instruction and executes corresponding operation to control each electric equipment;
the monitoring terminal feeds back a control result to the intelligent electricity management platform;
the intelligent electricity management platform receives a control result fed back by the monitoring terminal, generates a corresponding visual display interface based on the control result, and sends the visual display interface to the user terminal for the user to check.
8. The method of claim 7, wherein the dividing the running state and the load of each electric device according to the processed real-time electricity data to obtain the running state and the load characteristic of each electric device comprises:
the intelligent electricity management platform acquires the equipment type and the historical electricity data of each electric equipment, acquires the corresponding relation between the historical running state of each electric equipment and the equipment type of each electric equipment according to the historical electricity data, constructs a characteristic data set, and obtains the running state of each electric equipment by comparing the characteristic data set with the processed real-time electricity data;
the intelligent electricity management platform acquires the electricity power of each electric equipment from the processed real-time electricity data, and carries out load decomposition by combining the running state of each electric equipment to obtain the load characteristics of each electric equipment.
9. The method of claim 8, wherein the obtaining the operating state of each powered device by comparing the feature data set with the processed real-time power consumption data includes:
the intelligent electricity management platform constructs a data matrix corresponding to the processed real-time electricity data, reduces the dimensions of the data matrix according to different dimension reduction modes, obtains a plurality of groups of dimension reduction data matrixes, extracts corresponding electricity utilization device characteristics from each group of dimension reduction data matrixes, clusters the extracted electricity utilization device characteristics based on a target clustering center, obtains the equipment type of the electricity utilization device, and compares the characteristic data set with the processed real-time electricity data based on the equipment type to obtain the running state of each electricity utilization device.
10. The method of claim 8, wherein the performing load decomposition in combination with the operation state of each powered device to obtain the load characteristic of each powered device comprises:
the intelligent electricity management platform determines the complexity of the running state of each electric device, divides each electric device into the electric device in the first running state and the electric device in the second running state based on the complexity, wherein the complexity of the first running state is larger than that of the second running state, and the first power sequence corresponding to the electric device in the first running state and the second power sequence corresponding to the electric device in the second running state are respectively constructed by combining the electric power of each electric device obtained from the processed real-time electricity data, and the load characteristics of each electric device are obtained by solving the first power sequence and the second power sequence by Gaussian distribution.
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