CN111340313A - Method, device and equipment for selecting basic electricity price charging mode and readable storage medium - Google Patents
Method, device and equipment for selecting basic electricity price charging mode and readable storage medium Download PDFInfo
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- CN111340313A CN111340313A CN202010224319.8A CN202010224319A CN111340313A CN 111340313 A CN111340313 A CN 111340313A CN 202010224319 A CN202010224319 A CN 202010224319A CN 111340313 A CN111340313 A CN 111340313A
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- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
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- G06Q30/0283—Price estimation or determination
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
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Abstract
The embodiment of the application discloses a method, a system, equipment and a readable storage medium for selecting a basic electricity price charging mode, wherein the method comprises the following steps: receiving a basic electricity price charging mode optimization request message sent by a user terminal; the method comprises the steps that ammeter metering data are obtained in real time from an ammeter through an RS-485 communication module or an infrared communication module, and strategy data are obtained in real time from a private cloud through the communication module, wherein the strategy data comprise basic electricity price, transformer configuration information and a production plan; judging whether the currently adopted basic electricity price charging mode is reasonable or not according to the electric meter metering data and the strategy data; and if the charging is not reasonable, determining a reasonable basic electricity price charging mode and sending the reasonable basic electricity price charging mode to the user terminal. The most economical basic electricity price charging mode and the transformer capacity increasing/reducing change guiding scheme are provided for users, and the timeliness and the accuracy of the basic electricity price charging mode judgment are guaranteed.
Description
Technical Field
The embodiment of the application relates to the technical field of electric energy, in particular to a method, a device, equipment and a readable storage medium for selecting a basic electricity price charging mode.
Background
With continuous development of the policy of modifying and committing the optimization of the basic electricity charge and rapid development of the communication technology, no technology exists at present which can analyze the optimal basic electricity charge use scheme of an enterprise and provide a basic electricity charge change policy according to local basic electricity charge, historical energy consumption, enterprise energy consumption plan and transformer configuration conditions.
Disclosure of Invention
Therefore, the embodiment of the application provides a method, a device, equipment and a readable storage medium for selecting a basic electricity price charging mode, which can judge whether the currently adopted basic electricity price and transformer capacity configuration information are reasonable or not according to the information such as the accuracy of a charging electric meter, the current basic electricity price, the transformer configuration and the like, and provide the most economic basic electricity price change guidance scheme for a user. The timeliness and the accuracy of basic electricity price judgment are guaranteed.
In order to achieve the above object, the embodiments of the present application provide the following technical solutions:
according to a first aspect of an embodiment of the present application, a method for selecting a basic electricity rate charging mode is provided, where the method includes:
receiving a basic electricity price charging mode optimization request message sent by a user terminal;
the method comprises the steps that ammeter metering data are obtained in real time through an RS-485 communication module or an infrared communication module, and strategy data are obtained in real time from a private cloud through the communication module, wherein the strategy data comprise the latest basic electricity price, transformer configuration information and a production plan;
judging whether the currently adopted basic electricity price charging mode and the transformer use capacity are reasonable or not according to the electric meter metering data and the strategy data;
and if the charging is not reasonable, determining a reasonable basic electricity price charging mode and a transformer capacity reduction or capacity increase scheme and sending the scheme to the user terminal.
Optionally, the basic electricity prices include a maximum demand basic electricity price and a transformer capacity basic electricity price, and the electricity meter metering data includes real-time power and a monthly maximum demand;
the judging whether the currently adopted basic electricity price charging mode and the transformer use capacity are reasonable or not according to the electric meter metering data and the strategy data comprises the following steps:
judging whether the capacity of the transformer needs to be increased, suspended or reduced according to the maximum monthly demand, the transformer configuration information, the production plan, the basic electricity price of the maximum demand and the capacity electricity price of the transformer;
if so, determining the updated use capacity of the transformer, and adopting the basic electricity charge as the basic electricity price of the transformer capacity;
if not, judging whether the product of the maximum demand and the maximum demand basic electricity price of the previous metering month is larger than the product of the total capacity and the capacity basic electricity price of the transformer or not; if the current electricity price is larger than the maximum demand, the current electricity price charging mode is adopted as the basic electricity price of the transformer capacity, and if the current electricity price is smaller than the maximum demand, the basic electricity price is adopted as the maximum demand basic electricity price.
Optionally, the determining whether capacity increase, suspension, or capacity reduction of the transformer is required according to the measured monthly maximum demand, the transformer configuration information, the production plan, the maximum demand basic electricity price, and the transformer capacity electricity price includes:
if the production plan of the next month is the capacity expansion or the capacity reduction, calculating the preset monthly maximum demand after the capacity expansion or the capacity reduction;
judging whether the preset monthly maximum demand is greater than the total capacity of the transformer;
if so, determining the updating information of the transformer as the capacity increasing of the transformer;
if not, judging whether the number of the transformers is more than one; and if so, determining the updating information of the transformer as the suspension or volume reduction of the transformer under the condition that the capacity of part of the transformer is greater than the preset maximum monthly requirement.
Optionally, the communication module is one or more of a GPRS communication module, an LTE communication module, and an NB-IOT communication module.
According to a second aspect of the embodiments of the present application, there is provided a basic electricity rate charging method selection apparatus, including:
the message receiving module is used for receiving a basic electricity price charging mode optimization request message sent by a user terminal;
the data acquisition module is used for acquiring electric meter metering data from an electric meter in real time through the RS-485 communication module or the infrared communication module, and acquiring strategy data from the private cloud in real time through the communication module, wherein the strategy data comprises the latest basic electricity price, transformer configuration information and a production plan;
the judging module is used for judging whether the currently adopted basic electricity price charging mode and the transformer use capacity are reasonable or not according to the electric meter metering data and the strategy data;
and the message sending module is used for determining a reasonable basic electricity price charging mode, a transformer capacity reduction or capacity increase scheme and sending the reasonable basic electricity price charging mode, the transformer capacity reduction or capacity increase scheme to the user terminal if the current basic electricity price charging mode is unreasonable.
Optionally, the basic electricity prices include a maximum demand basic electricity price and a transformer capacity basic electricity price, and the electricity meter metering data includes real-time power and a monthly maximum demand;
the judgment module is specifically configured to:
judging whether the capacity of the transformer needs to be increased, suspended or reduced according to the maximum monthly demand, the transformer configuration information, the production plan, the basic electricity price of the maximum demand and the capacity electricity price of the transformer;
if so, determining the updated use capacity of the transformer, and adopting the basic electricity charge as the basic electricity price of the transformer capacity;
if not, judging whether the product of the maximum demand and the maximum demand basic electricity price of the previous metering month is larger than the product of the total capacity and the capacity basic electricity price of the transformer or not; if the current electricity price is larger than the maximum demand, the current electricity price charging mode is adopted as the basic electricity price of the transformer capacity, and if the current electricity price is smaller than the maximum demand, the basic electricity price is adopted as the maximum demand basic electricity price.
Optionally, the determining whether capacity increase, suspension, or capacity reduction of the transformer is required according to the measured monthly maximum demand, the transformer configuration information, the production plan, the maximum demand basic electricity price, and the transformer capacity electricity price includes:
if the production plan of the next month is the capacity expansion or the capacity reduction, calculating the preset monthly maximum demand after the capacity expansion or the capacity reduction;
judging whether the preset monthly maximum demand is greater than the total capacity of the transformer;
if so, determining the updating information of the transformer as the capacity increasing of the transformer;
if not, judging whether the number of the transformers is more than one; and if so, determining the updating information of the transformer as the suspension or volume reduction of the transformer under the condition that the capacity of part of the transformer is greater than the preset maximum monthly requirement.
Optionally, the communication module is one or more of a GPRS communication module, an LTE communication module, and an NB-IOT communication module.
According to a third aspect of the embodiments of the present application, there is provided a basic electricity rate charging method selection device, including: the device comprises a data acquisition device, a processor and a memory;
the data acquisition device is used for acquiring data; the memory is to store one or more program instructions; the processor is configured to execute one or more program instructions to perform the method of the first aspect.
According to a fourth aspect of embodiments herein, there is provided a computer-readable storage medium having one or more program instructions embodied therein for performing the method of the first aspect.
To sum up, the embodiment of the present application provides a method, an apparatus, a device and a readable storage medium for selecting a basic electricity price charging method, which optimizes a request message by receiving a basic electricity price charging method sent by a user terminal; the method comprises the steps that ammeter metering data are obtained in real time from an ammeter through an RS-485 communication module or an infrared communication module, and strategy data are obtained in real time from a private cloud through a communication module, wherein the strategy data comprise basic electricity price, transformer configuration information and a production plan; judging whether the currently adopted basic electricity price charging mode is reasonable or not according to the electric meter metering data and the strategy data; and if the charging is not reasonable, determining a reasonable basic electricity price charging mode and sending the reasonable basic electricity price charging mode to the user terminal. The most economical basic electricity price charging mode change and transformer pause, volume reduction or capacity increase change guide scheme is provided for users, and timeliness and accuracy of basic electricity price judgment are guaranteed.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
The structures, ratios, sizes, and the like shown in the present specification are only used for matching with the contents disclosed in the specification, so that those skilled in the art can understand and read the present invention, and do not limit the conditions for implementing the present invention, so that the present invention has no technical significance, and any structural modifications, changes in the ratio relationship, or adjustments of the sizes, without affecting the functions and purposes of the present invention, should still fall within the scope of the present invention.
Fig. 1 is a schematic flowchart of a basic electricity price charging method selection method provided in an embodiment of the present application;
fig. 2 is a basic electricity price optimization device system architecture provided in an embodiment of the present application;
FIG. 3 is a schematic flow chart of a basic electricity price analysis selection method provided in an embodiment of the present application;
fig. 4 is a block diagram of a basic electricity price charging mode selection device according to an embodiment of the present application.
Detailed Description
The present invention is described in terms of particular embodiments, other advantages and features of the invention will become apparent to those skilled in the art from the following disclosure, and it is to be understood that the described embodiments are merely exemplary of the invention and that it is not intended to limit the invention to the particular embodiments disclosed. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
There are two basic electricity charges, which can be measured according to the capacity of the transformer (rated) or the maximum demand.
The embodiment of the application provides a basic electricity price charging mode selection method, based on selection of optimal basic electricity price, the conditions of metering precision, transformer capacity, energy utilization plan, latest electricity price and the like are comprehensively considered. As shown in fig. 1, the method comprises the steps of:
step 101: and receiving a basic electricity price charging mode optimization request message sent by the user terminal.
Step 102: the method comprises the steps of obtaining electric meter metering data in real time through an RS-485 communication module or an infrared communication module, and obtaining strategy data in real time from a private cloud through the communication module, wherein the strategy data comprise the latest basic electricity price, transformer configuration information and a production plan.
Step 103: and judging whether the currently adopted basic electricity price charging mode and the transformer use capacity are reasonable or not according to the electric meter metering data and the strategy data.
Step 104: and if the charging is not reasonable, determining a reasonable basic electricity price charging mode and a transformer capacity reduction or capacity increase scheme and sending the scheme to the user terminal.
In one possible embodiment, the base electricity prices include a maximum demand base electricity price and a transformer capacity base electricity price, and the electricity meter metering data includes real-time power and a monthly maximum demand; then, in step 103, the following steps are specifically included:
judging whether the capacity of the transformer needs to be increased, suspended or reduced according to the maximum monthly demand, the transformer configuration information, the production plan, the basic electricity price of the maximum demand and the capacity electricity price of the transformer; if so, determining the updated optimal use capacity of the transformer, and adopting the basic electricity charge as the basic electricity price of the transformer capacity; if not, judging whether the product of the maximum demand and the maximum demand basic electricity price of the previous metering month is larger than the product of the total capacity and the capacity basic electricity price of the transformer or not; if the current electricity price is larger than the maximum demand, the current electricity price charging mode is adopted as the basic electricity price of the transformer capacity, and if the current electricity price is smaller than the maximum demand, the basic electricity price is adopted as the maximum demand basic electricity price.
In a possible embodiment, the determining whether the capacity increase, pause or capacity reduction of the transformer is required according to the measured monthly maximum demand, the transformer configuration information, the production plan, the maximum demand base electricity price and the transformer capacity electricity price includes:
if the production plan of the next month is the capacity expansion or the capacity reduction, calculating the preset monthly maximum demand after the capacity expansion or the capacity reduction; judging whether the preset monthly maximum demand is greater than the total capacity of the transformer; if so, determining the updating information of the transformer as the capacity increasing of the transformer; if not, judging whether the number of the transformers is more than one; and if so, determining the updating information of the transformer as the suspension or volume reduction of the transformer under the condition that the capacity of part of the transformer is greater than the preset maximum monthly requirement.
In one possible implementation, the communication module is one or more of a GPRS communication module, an LTE communication module, and an NB-IOT communication module.
Fig. 2 shows a basic electric charge optimization device system architecture according to an embodiment of the present application. The electric meter interacts with the basic electric charge optimization device in an RS-485 and infrared communication (dotted line) mode; the basic electricity charge optimization device comprises the storage of the maximum demand of the last metering month and the selection and analysis of the basic electricity price charging mode; the basic electricity charge optimization device interacts with the private cloud through NB-iot; the private cloud module functions comprise electricity price policy making, transformer configuration and production expansion/reduction plan making.
The device can read electricity consumption data and historical data of the metering ammeter in real time according to RS485 or infrared, and issues latest basic electricity price, transformer configuration, expanded production and reduced production plans to the device through a communication mode cloud. Historical data and real-time data of the charging ammeter are read through 485 and infrared communication, the electric energy value and the precision can be consistent with those of a charging system, and the metering difference between the electric energy value and the charging system caused by reinstallation of a mutual inductor and a metering device at present is avoided. And (4) real-time follow-up development and modification of the electricity utilization policy, the latest electricity price and the production plan, issuing the latest electricity price and the production plan to the device through NB-IOT, and dynamically changing the basic electricity charge guidance policy. And the error of the basic electric charge metering model after the external condition is changed is avoided. A set of comprehensive and dynamic basic electricity charge judgment method is established, the maximum demand of the last metering month is read and stored, and timeliness and accuracy of basic electricity charge judgment are guaranteed.
In order to make the basic electricity rate charging method selection method provided by the embodiment of the present application clearer, fig. 3 shows a schematic flow chart of a basic electricity rate analysis selection method provided by the embodiment of the present application, and guides a client to perform optimal schemes such as change of a basic electricity rate scheme, suspension, volume reduction, and capacity expansion of a transformer through an analysis algorithm, so as to optimize a power distribution plan of the user.
Step 301: and acquiring ammeter data, the latest basic electricity price, the production expansion plan and transformer configuration.
Step 302: and acquiring the maximum demand X of the last metering month from the electric meter, and acquiring the number n of the transformers, the total capacity tc of the transformers, the basic electricity price a of the capacity of the transformers and the basic electricity price b of the maximum demand from the private cloud.
Step 303: judging whether the next month increases the yield or reduces the yield according to the yield expansion plan; if not, go to step 304; if yes, go to step 308.
Step 304: judging whether the number n of the transformers is larger than 1, if not, executing a step 305; if yes, go to step 312.
Step 305: and calculating Y-X b-tc a.
Step 306: judging whether the calculated value of Y is greater than 0, if yes, executing step 307; if not, the basic electricity price adopts the maximum demand basic electricity price b.
Step 307: the basic electricity price adopts a transformer capacity basic electricity price a.
Step 308: and (3) predicting the maximum power after the production expansion or the production reduction to be X2, wherein X2 is calculated according to the power and the working time of the production expansion equipment or the production reduction equipment based on historical meter data.
Step 309: judging whether X2 is smaller than tc; if yes, go to step 310; if not, step 311 is performed.
Step 310: update X to X2 and proceed to step 304.
Step 311: and (4) carrying out capacity increase on the transformer, wherein the capacity can be increased to be X2-tc, and the basic electricity fee adopts the basic electricity price a of the transformer capacity.
Step 312: judging whether the capacity of a part of the number of the voltage devices is larger than X, if not, executing a step 305; if yes, go to step 313.
Step 313: and (4) handling the suspension or volume reduction of other transformers, wherein the basic electricity price adopts the basic electricity price a of the transformer capacity.
Therefore, the basic electricity charge analysis method provided by the embodiment of the application can judge whether the currently adopted basic electricity price is reasonable or not according to the accuracy of the charging electric meter and the current basic electricity price, transformer configuration and other information. The change of the electricity price policy, the change of the transformer capacity configuration and the change of the production operation plan are dynamically followed, so that an optimized basic electricity charge change guidance scheme is accurately provided for a user, and the purpose of selecting the basic electricity charge is achieved.
To sum up, the embodiment of the present application provides a method for selecting a basic electricity price charging mode, which optimizes a request message by receiving a basic electricity price charging mode sent by a user terminal; the method comprises the steps that ammeter metering data are obtained in real time from an ammeter through an RS-485 communication module and an infrared communication module, and strategy data are obtained in real time from a private cloud through the communication module, wherein the strategy data comprise basic electricity price, transformer configuration information and a production plan; judging whether the currently adopted basic electricity price charging mode is reasonable or not according to the electric meter metering data and the strategy data; and if the charging is not reasonable, determining a reasonable basic electricity price charging mode and sending the reasonable basic electricity price charging mode to the user terminal. The most economical basic electricity price charging mode change and transformer capacity increasing/reducing change guide scheme is provided for users, and timeliness and accuracy of basic electricity price judgment are guaranteed.
Based on the same technical concept, an embodiment of the present application further provides a device for selecting a basic electricity rate charging mode, as shown in fig. 4, the device includes:
a message receiving module 401, configured to receive a basic electricity price charging mode optimization request message sent by a user terminal.
The data acquisition module 402 is used for acquiring the metering data of the electric meter in real time from the electric meter through the RS-485 communication module or the infrared communication module, and acquiring the strategy data in real time from the private cloud through the communication module, wherein the strategy data comprises the latest basic electricity price, the transformer configuration information and the production plan.
And a judging module 403, configured to judge whether the basic electricity price charging mode and the transformer usage capacity that are currently used are reasonable according to the electricity meter measurement data and the policy data.
And a message sending module 404, configured to determine a reasonable basic electricity price charging manner, a transformer capacity reduction or capacity increase scheme, and send the determined reasonable basic electricity price charging manner, the transformer capacity reduction or capacity increase scheme to the user terminal if the current basic electricity price charging manner is unreasonable.
In one possible embodiment, the base electricity prices include a maximum demand base electricity price and a transformer capacity base electricity price, and the electricity meter measurement data includes real-time power and a monthly maximum demand.
The determining module 403 is specifically configured to: judging whether the capacity of the transformer needs to be increased, suspended or reduced according to the maximum monthly demand, the transformer configuration information, the production plan, the basic electricity price of the maximum demand and the capacity electricity price of the transformer; if so, determining the updated use capacity of the transformer, and adopting the basic electricity charge as the basic electricity price of the transformer capacity; if not, judging whether the product of the maximum demand and the maximum demand basic electricity price of the previous metering month is larger than the product of the total capacity and the capacity basic electricity price of the transformer or not; if the current electricity price is larger than the maximum demand, the current electricity price charging mode is adopted as the basic electricity price of the transformer capacity, and if the current electricity price is smaller than the maximum demand, the basic electricity price is adopted as the maximum demand basic electricity price.
In a possible embodiment, the determining whether the capacity increase, pause or capacity reduction of the transformer is required according to the measured monthly maximum demand, the transformer configuration information, the production plan, the maximum demand base electricity price and the transformer capacity electricity price includes: if the production plan of the next month is the capacity expansion or the capacity reduction, calculating the preset monthly maximum demand after the capacity expansion or the capacity reduction; judging whether the preset monthly maximum demand is greater than the total capacity of the transformer; if so, determining the updating information of the transformer as the capacity increasing of the transformer; if not, judging whether the number of the transformers is more than one; and if so, determining the updating information of the transformer as the suspension or volume reduction of the transformer under the condition that the capacity of part of the transformer is greater than the preset maximum monthly requirement.
In one possible implementation, the communication module is one or more of a GPRS communication module, an LTE communication module, and an NB-IOT communication module.
Based on the same technical concept, an embodiment of the present application further provides a basic electricity price charging mode selecting device, including: the device comprises a data acquisition device, a processor and a memory; the data acquisition device is used for acquiring data; the memory is to store one or more program instructions; the processor is configured to execute one or more program instructions to perform the method according to any of the above methods.
Based on the same technical concept, the embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium contains one or more program instructions, and the one or more program instructions are used for executing the method according to any one of the above methods.
In the present specification, each embodiment of the method is described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. Reference is made to the description of the method embodiments.
It is noted that while the operations of the methods of the present invention are depicted in the drawings in a particular order, this is not a requirement or suggestion that the operations must be performed in this particular order or that all of the illustrated operations must be performed to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions.
Although the present application provides method steps as in embodiments or flowcharts, additional or fewer steps may be included based on conventional or non-inventive approaches. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When an apparatus or client product in practice executes, it may execute sequentially or in parallel (e.g., in a parallel processor or multithreaded processing environment, or even in a distributed data processing environment) according to the embodiments or methods shown in the figures. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus 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 apparatus. Without further limitation, the presence of additional identical or equivalent elements in a process, method, article, or apparatus that comprises the recited elements is not excluded.
The units, devices, modules, etc. set forth in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. For convenience of description, the above devices are described as being divided into various modules by functions, and are described separately. Of course, in implementing the present application, the functions of each module may be implemented in one or more software and/or hardware, or a module implementing the same function may be implemented by a combination of a plurality of sub-modules or sub-units, and the like. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may therefore be considered as a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, classes, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
From the above description of the embodiments, it is clear to those skilled in the art that the present application can be implemented by software plus necessary general hardware platform. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, or the like, and includes several instructions for enabling a computer device (which may be a personal computer, a mobile terminal, a server, or a network device) to execute the method according to the embodiments or some parts of the embodiments of the present application.
The embodiments in the present specification are described in a progressive manner, and the same or similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. The application is operational with numerous general purpose or special purpose computing system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet-type devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable electronic devices, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.
The above-mentioned embodiments are further described in detail for the purpose of illustrating the invention, and it should be understood that the above-mentioned embodiments are only illustrative of the present invention and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. A method for selecting a basic electricity rate charging mode, the method comprising:
receiving a basic electricity price charging mode optimization request message sent by a user terminal;
the method comprises the steps that ammeter metering data are obtained in real time through an RS-485 communication module or an infrared communication module, and strategy data are obtained in real time from a private cloud through the communication module, wherein the strategy data comprise the latest basic electricity price, transformer configuration information and a production plan;
judging whether the currently adopted basic electricity price charging mode and the transformer use capacity are reasonable or not according to the electric meter metering data and the strategy data;
and if the charging is not reasonable, determining a reasonable basic electricity price charging mode and a transformer capacity reduction or capacity increase scheme and sending the scheme to the user terminal.
2. The method of claim 1, wherein the base electricity prices include a maximum demand base electricity price and a transformer capacity base electricity price, and the electricity meter metering data includes real-time power and a monthly maximum demand;
the judging whether the currently adopted basic electricity price charging mode and the transformer use capacity are reasonable or not according to the electric meter metering data and the strategy data comprises the following steps:
judging whether the capacity of the transformer needs to be increased, suspended or reduced according to the maximum monthly demand, the transformer configuration information, the production plan, the basic electricity price of the maximum demand and the basic electricity price of the transformer capacity;
if so, changing the use capacity of the transformer, and adopting the basic electricity charge as the basic electricity price of the transformer capacity;
if not, judging whether the product of the maximum demand and the maximum demand basic electricity price of the previous metering month is larger than the product of the total capacity and the capacity basic electricity price of the transformer or not; if the current demand is larger than the maximum demand, the basic electricity price charging mode is adopted as the basic electricity price of the transformer capacity, and if the current demand is smaller than the maximum demand, the basic electricity price charging mode is adopted as the maximum demand basic electricity price.
3. The method of claim 2, wherein said determining whether a capacity increase, pause, or reduction of the transformer is required based on the measured monthly maximum demand, the transformer configuration information, the production plan, the maximum demand base price, and the transformer capacity base price comprises:
if the production plan of the next month is the capacity expansion or the capacity reduction, calculating the preset monthly maximum demand after the capacity expansion or the capacity reduction;
judging whether the preset monthly maximum demand is greater than the total capacity of the transformer;
if so, determining the updating information of the transformer as the capacity increasing of the transformer;
if not, judging whether the number of the transformers is more than one; and if so, determining the updating information of the transformer as the suspension or volume reduction of the transformer under the condition that the capacity of part of the transformer is greater than the preset maximum monthly requirement.
4. The method of claim 1, wherein the communication module is one or more of a GPRS communication module, an LTE communication module, and an NB-IOT communication module.
5. A basic electricity rate charging mode selecting apparatus, comprising:
the message receiving module is used for receiving a basic electricity price charging mode optimization request message sent by a user terminal;
the data acquisition module is used for acquiring electric meter metering data from an electric meter in real time through the RS-485 communication module or the infrared communication module, and acquiring strategy data from the private cloud in real time through the communication module, wherein the strategy data comprises the latest basic electricity price, transformer configuration information and a production plan;
the judging module is used for judging whether the currently adopted basic electricity price charging mode and the transformer use capacity are reasonable or not according to the electric meter metering data and the strategy data;
and the message sending module is used for determining a reasonable basic electricity price charging mode, a transformer capacity reduction or capacity increase scheme and sending the reasonable basic electricity price charging mode, the transformer capacity reduction or capacity increase scheme to the user terminal if the current basic electricity price charging mode is unreasonable.
6. The apparatus of claim 5, wherein the base electricity prices include a maximum demand base electricity price and a transformer capacity base electricity price, and the electricity meter metering data includes real-time power and a monthly maximum demand;
the judgment module is specifically configured to:
judging whether the capacity of the transformer needs to be increased, suspended or reduced according to the maximum monthly demand, the transformer configuration information, the production plan, the basic electricity price of the maximum demand and the capacity electricity price of the transformer;
if so, determining the updated use capacity of the transformer, and adopting a basic electricity price charging mode as the basic electricity price of the transformer capacity;
if not, judging whether the product of the maximum demand and the maximum demand basic electricity price of the previous metering month is larger than the product of the total capacity and the capacity basic electricity price of the transformer or not; if the current demand is larger than the maximum demand, the basic electricity price charging mode is adopted as the basic electricity price of the transformer capacity, and if the current demand is smaller than the maximum demand, the basic electricity price charging mode is adopted as the maximum demand basic electricity price.
7. The apparatus of claim 6, wherein the determining whether the capacity increase, pause or reduction of the transformer is required according to the measured monthly maximum demand, the transformer configuration information, the production plan, the maximum demand base electricity price and the transformer capacity electricity price comprises:
if the production plan of the next month is the capacity expansion or the capacity reduction, calculating the preset monthly maximum demand after the capacity expansion or the capacity reduction;
judging whether the preset monthly maximum demand is greater than the total capacity of the transformer;
if so, determining the updating information of the transformer as the capacity increasing of the transformer;
if not, judging whether the number of the transformers is more than one; and if so, determining the updating information of the transformer as the suspension or volume reduction of the transformer under the condition that the capacity of part of the transformer is greater than the preset maximum monthly requirement.
8. The apparatus of claim 5, wherein the communication module is one or more of a GPRS communication module, an LTE communication module, and an NB-IOT communication module.
9. A basic electricity rate charging mode selecting apparatus, characterized in that the apparatus comprises: the device comprises a data acquisition device, a processor and a memory;
the data acquisition device is used for acquiring data; the memory is to store one or more program instructions; the processor, configured to execute one or more program instructions to perform the method of any of claims 1-4.
10. A computer-readable storage medium having one or more program instructions embodied therein for performing the method of any of claims 1-4.
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