CN111340313B - Basic electricity price charging mode selection method, device, equipment and readable storage medium - Google Patents
Basic electricity price charging mode selection method, device, equipment and readable storage medium Download PDFInfo
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Abstract
The embodiment of the application discloses a basic electricity price charging mode selection method, a system, equipment and a readable storage medium, wherein the method comprises the following steps: receiving a basic electricity price charging mode optimization request message sent by a user terminal; acquiring metering data of an ammeter in real time through an RS-485 communication module or an infrared communication module from the ammeter, and acquiring strategy data in real time from private cloud through the communication module, wherein the strategy data comprises basic electricity price, transformer configuration information and a production plan; judging whether the current basic electricity price charging mode is reasonable or not according to the electricity meter metering data and the strategy data; if not, determining a reasonable basic electricity price charging mode and sending the 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 judgment of the basic electricity price charging mode are ensured.
Description
Technical Field
The embodiment of the application relates to the technical field of electric energy, in particular to a basic electricity price charging mode selection method, a basic electricity price charging mode selection device, basic electricity price charging equipment and a readable storage medium.
Background
With the continuous release of the optimization policy of the dispatching and modifying commission on the basic electric charge and the rapid development of the communication technology, no technology capable of analyzing the optimal basic electric charge use scheme of an enterprise and giving the basic electric charge change policy according to the local electric charge, the historical energy, the enterprise energy plan and the transformer configuration condition exists at present.
Disclosure of Invention
Therefore, the embodiment of the application provides a basic electricity price charging mode selection method, a device, equipment and a readable storage medium, which can judge whether the basic electricity price and transformer capacity configuration information adopted currently are reasonable or not according to the charging ammeter precision, the current basic electricity fee, the transformer configuration and other information, and provide the most economical basic electricity price change guiding scheme for users. The timeliness and the accuracy of basic electricity price judgment are ensured.
In order to achieve the above object, the embodiment of the present application provides the following technical solutions:
according to a first aspect of an embodiment of the present application, there is provided a method for selecting a basic electricity price charging mode, the method including:
receiving a basic electricity price charging mode optimization request message sent by a user terminal;
Acquiring ammeter metering data in real time through an RS-485 communication module or an 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;
Judging whether the current basic electricity price charging mode and the current transformer use capacity are reasonable or not according to the electricity meter metering data and the strategy data;
If not, determining a reasonable basic electricity price charging mode and a transformer capacity reduction or increase scheme and sending the basic electricity price charging mode and the transformer capacity reduction or increase scheme to the user terminal.
Optionally, the basic electricity price includes 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;
Judging whether the current basic electricity price charging mode and the current transformer use capacity are reasonable or not according to the electricity meter metering data and the strategy data, and comprising the following steps:
Judging whether the capacity of the transformer is increased, suspended or reduced according to the maximum required amount of the upper metering month, the transformer configuration information, the production plan, the maximum required amount basic electricity price and the transformer capacity electricity price;
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 required quantity and the maximum required quantity basic electricity price of the upper metering month is larger than the product of the total capacity of the transformer and the capacity basic electricity price; if the current price is larger than the basic price of the transformer capacity, the current price charging mode is adopted as the basic price of the transformer capacity, and if the current price is smaller than the basic price of the transformer capacity, the basic price of the transformer capacity is adopted as the basic price of the maximum required quantity.
Optionally, the determining whether the capacity of the transformer needs to be increased, suspended or reduced according to the maximum demand of the upper metering month, 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 expanded or reduced, calculating the preset maximum monthly demand after expanded or reduced;
Judging whether the preset maximum monthly demand is greater than the total capacity of the transformer or not;
If the transformer capacity is larger than the preset value, determining the transformer updating information as transformer capacity increase;
if not, judging whether the number of the transformers is greater than one; if yes, determining the transformer update information as the transformer pause or volume reduction under the condition that the partial transformer capacity is larger than the preset maximum monthly demand.
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 embodiment of the present application, there is provided a basic electricity price charging mode selecting apparatus, the apparatus including:
The message receiving module is used for receiving a basic electricity price charging mode optimization request message sent by the user terminal;
The data acquisition module is used for acquiring metering data of the ammeter from the ammeter 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 current basic electricity price charging mode and the current transformer use capacity are reasonable or not according to the electricity meter metering data and the strategy data;
And the message sending module is used for determining a reasonable basic electricity price charging mode and a transformer capacity reduction or capacity increase scheme and sending the reasonable basic electricity price charging mode and 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 price includes 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 module is specifically configured to:
Judging whether the capacity of the transformer is increased, suspended or reduced according to the maximum required amount of the upper metering month, the transformer configuration information, the production plan, the maximum required amount basic electricity price and the transformer capacity electricity price;
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 required quantity and the maximum required quantity basic electricity price of the upper metering month is larger than the product of the total capacity of the transformer and the capacity basic electricity price; if the current price is larger than the basic price of the transformer capacity, the current price charging mode is adopted as the basic price of the transformer capacity, and if the current price is smaller than the basic price of the transformer capacity, the basic price of the transformer capacity is adopted as the basic price of the maximum required quantity.
Optionally, the determining whether the capacity of the transformer needs to be increased, suspended or reduced according to the maximum demand of the upper metering month, 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 expanded or reduced, calculating the preset maximum monthly demand after expanded or reduced;
Judging whether the preset maximum monthly demand is greater than the total capacity of the transformer or not;
If the transformer capacity is larger than the preset value, determining the transformer updating information as transformer capacity increase;
if not, judging whether the number of the transformers is greater than one; if yes, determining the transformer update information as the transformer pause or volume reduction under the condition that the partial transformer capacity is larger than the preset maximum monthly demand.
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 embodiment of the present application, there is provided a basic electricity price charging mode selecting apparatus, the apparatus 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 used for storing one or more program instructions; the processor is configured to execute one or more program instructions to perform the method according to the first aspect.
According to a fourth aspect of embodiments of the present application, there is provided a computer readable storage medium having embodied therein one or more program instructions for performing the method as described in the first aspect.
In summary, the embodiments of the present application provide a method, an apparatus, a device, and a readable storage medium for selecting a basic electricity price charging mode, by receiving a basic electricity price charging mode optimization request message sent by a user terminal; acquiring metering data of an ammeter in real time from the ammeter through an RS-485 communication module or an infrared communication module, and acquiring strategy data in real time from a private cloud through the communication module, wherein the strategy data comprises basic electricity price, transformer configuration information and a production plan; judging whether the current basic electricity price charging mode is reasonable or not according to the electricity meter metering data and the strategy data; if not, determining a reasonable basic electricity price charging mode and sending the basic electricity price charging mode to the user terminal. The most economical basic electricity price charging mode change and transformer suspension, volume reduction or volume increase change guiding scheme is provided for the user, and the timeliness and accuracy of basic electricity price judgment are ensured.
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 will be apparent to those of ordinary skill in the art that the drawings in the following description are exemplary only and that other implementations can be obtained from the extensions of the drawings provided without inventive effort.
The structures, proportions, sizes, etc. shown in the present specification are shown only for the purposes of illustration and description, and are not intended to limit the scope of the invention, which is defined by the claims, so that any structural modifications, changes in proportions, or adjustments of sizes, which do not affect the efficacy or the achievement of the present invention, should fall within the scope of the invention.
Fig. 1 is a schematic flow chart of a basic electricity price charging mode selection method provided by an embodiment of the application;
FIG. 2 is a basic electricity price optimizing device system architecture provided by an embodiment of the present application;
FIG. 3 is a schematic flow chart of a basic electricity price analysis selection method according to an embodiment of the present application;
Fig. 4 is a block diagram of a basic electricity price charging mode selecting device according to an embodiment of the present application.
Detailed Description
Other advantages and advantages of the present invention will become apparent to those skilled in the art from the following detailed description, which, by way of illustration, is to be read in connection with certain specific embodiments, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The basic electricity charge has two metering modes, and can be metered according to the capacity of a transformer (rated), and can also be metered according to the maximum demand.
The embodiment of the application provides a basic electricity price charging mode selection method, which comprehensively considers the situations of metering precision, transformer capacity, energy consumption planning, latest electricity price and the like based on the selection of optimal basic electricity fees. 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: and acquiring ammeter metering data in real time through an RS-485 communication module or an 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.
Step 103: and judging whether the current basic electricity price charging mode and the current transformer use capacity are reasonable or not according to the electricity meter metering data and the strategy data.
Step 104: if not, determining a reasonable basic electricity price charging mode and a transformer capacity reduction or increase scheme and sending the basic electricity price charging mode and the transformer capacity reduction or increase scheme to the user terminal.
In one possible embodiment, the basic electricity rates include a maximum demand basic electricity rate and a transformer capacity basic electricity rate, and the electricity meter metering data includes real-time power and a monthly maximum demand; then in step 103, the method specifically includes the following steps:
Judging whether the capacity of the transformer is increased, suspended or reduced according to the maximum required amount of the upper metering month, the transformer configuration information, the production plan, the maximum required amount basic electricity price and the transformer capacity electricity price; if so, determining the transformer to update the optimal use capacity, and adopting the basic electricity charge as the basic electricity price of the transformer capacity; if not, judging whether the product of the maximum required quantity and the maximum required quantity basic electricity price of the upper metering month is larger than the product of the total capacity of the transformer and the capacity basic electricity price; if the current price is larger than the basic price of the transformer capacity, the current price charging mode is adopted as the basic price of the transformer capacity, and if the current price is smaller than the basic price of the transformer capacity, the basic price of the transformer capacity is adopted as the basic price of the maximum required quantity.
In one possible implementation manner, the determining whether the capacity of the transformer needs to be increased, suspended or reduced according to the maximum demand of the upper metering month, 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 expanded or reduced, calculating the preset maximum monthly demand after expanded or reduced; judging whether the preset maximum monthly demand is greater than the total capacity of the transformer or not; if the transformer capacity is larger than the preset value, determining the transformer updating information as transformer capacity increase; if not, judging whether the number of the transformers is greater than one; if yes, determining the transformer update information as the transformer pause or volume reduction under the condition that the partial transformer capacity is larger than the preset maximum monthly demand.
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 that the embodiment of the application provides a basic electricity fee optimizing device system architecture. The ammeter interacts with the basic electricity charge optimizing device in an RS-485 and infrared communication (dotted line) mode; the basic electricity charge optimizing device comprises storage of the maximum demand of the last metering month and selection analysis of basic electricity charge mode; the basic electricity charge optimizing device interacts with the private cloud through NB-iot; private cloud module functions include electricity price policy formulation, transformer configuration, expansion/reduction planning.
The device can read electricity consumption data and historical data of the metering ammeter in real time according to RS485 or infrared, and send the latest basic electricity price, transformer configuration, and production expansion and reduction plans to the device in a cloud end through a communication mode. The historical data and the real-time data of the charging ammeter are read through 485 and infrared communication, so that the electric energy value and the precision can be ensured to be consistent with those of a charging system, and the metering difference between the charging system and the charging system caused by reinstallation of a transformer and a metering device at present is avoided. The method and the device are characterized by comprising the steps of tracking and redirecting the electricity utilization policy, the latest electricity price and the production plan in real time, issuing the electricity utilization policy, the latest electricity price and the production plan to the device through the NB-IOT, and dynamically changing the basic electricity fee guiding policy. And the error of a basic electricity fee metering model after the change of external conditions is avoided. A set of comprehensive and dynamic basic electric charge judging method is established, and the maximum required amount of the metering month is read and stored at the same time, so that the timeliness and the accuracy of basic electric charge judgment are ensured.
In order to make the basic electricity price charging mode selection method provided by the embodiment of the application clearer, fig. 3 shows a flow chart of the basic electricity fee analysis selection method provided by the embodiment of the application, and the analysis algorithm is used for guiding a customer to change a basic electricity fee scheme, so that optimal schemes such as suspension, volume reduction, capacity increase and the like of a transformer are adopted, and the distribution plan of the user is optimized.
Step 301: and acquiring ammeter data, the latest basic electricity price, the production expansion plan and transformer configuration.
Step 302: the method comprises the steps of obtaining a maximum demand X of a last metering month from an ammeter, and obtaining the number n of transformers, the total capacity tc of the transformers, the basic electricity price a of the transformer capacity and the basic electricity price b of the maximum demand from a private cloud.
Step 303: judging whether the yield is increased or reduced in the next month according to the yield increasing plan; if not, go to step 304; if yes, go to step 308.
Step 304: judging whether the number n of the transformers is greater than 1, if not, executing step 305; if yes, go to step 312.
Step 305: calculating y=x×b-tc×a.
Step 306: judging whether the calculated value of Y is greater than 0, if so, executing step 307; if not, the maximum required basic electricity price b is adopted as the basic electricity price.
Step 307: the basic electricity price adopts the transformer capacity basic electricity price a.
Step 308: the maximum expected power after the expansion or the reduction of the production is X2, wherein X2 is calculated according to the power and the working time of the expansion equipment or the reduction equipment based on the historical ammeter 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 go to step 304.
Step 311: and the capacity of the transformer is increased to X2-tc, and the basic electricity charge adopts the basic electricity price a of the transformer capacity.
Step 312: judging whether the partial number of voltage devices is larger than X, if not, executing step 305; if yes, go to step 313.
Step 313: and handling the suspension or volume reduction of the rest transformers, wherein the basic electricity price adopts the basic electricity price a of the transformer capacity.
It can be seen that the basic electricity fee 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 ammeter, the current basic electricity price, the 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 fee change guiding scheme is provided for a user more accurately, and the purpose of selecting the basic electricity fee is achieved.
In summary, the embodiment of the application provides a basic electricity price charging mode selection method, which is implemented by receiving a basic electricity price charging mode optimization request message sent by a user terminal; acquiring metering data of an ammeter from the ammeter in real time through an RS-485 communication module and an infrared communication module, and acquiring strategy data from a private cloud in real time through the communication module, wherein the strategy data comprises basic electricity price, transformer configuration information and a production plan; judging whether the current basic electricity price charging mode is reasonable or not according to the electricity meter metering data and the strategy data; if not, determining a reasonable basic electricity price charging mode and sending the basic electricity price charging mode to the user terminal. The most economical basic electricity price charging mode change and transformer capacity increasing/decreasing change guiding scheme is provided for the user, and timeliness and accuracy of basic electricity fee judgment are guaranteed.
Based on the same technical concept, the embodiment of the application also provides a basic electricity price charging mode selecting device, as shown in fig. 4, which comprises:
the message receiving module 401 is configured to receive a basic electricity price charging mode optimization request message sent by a user terminal.
The data acquisition module 402 is configured to acquire, in real time, electric meter metering data from an electric meter through the RS-485 communication module or the infrared communication module, and acquire, in real time, policy data from a private cloud through the communication module, where the policy data includes a latest basic electricity price, transformer configuration information and a production plan.
And the judging module 403 is configured to judge whether the current basic price charging mode and the current transformer usage capacity are reasonable according to the meter measurement data and the policy data.
And the message sending module 404 is configured to determine a reasonable basic price charging mode and a transformer capacity reduction or expansion scheme if the current basic price charging mode is unreasonable, and send the determined basic price charging mode and the transformer capacity reduction or expansion scheme to the user terminal.
In one possible embodiment, the basic electricity rates include a maximum demand basic electricity rate and a transformer capacity basic electricity rate, and the electricity meter metering data includes real-time power and a monthly maximum demand.
The judging module 403 is specifically configured to: judging whether the capacity of the transformer is increased, suspended or reduced according to the maximum required amount of the upper metering month, the transformer configuration information, the production plan, the maximum required amount basic electricity price and the transformer capacity electricity price; 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 required quantity and the maximum required quantity basic electricity price of the upper metering month is larger than the product of the total capacity of the transformer and the capacity basic electricity price; if the current price is larger than the basic price of the transformer capacity, the current price charging mode is adopted as the basic price of the transformer capacity, and if the current price is smaller than the basic price of the transformer capacity, the basic price of the transformer capacity is adopted as the basic price of the maximum required quantity.
In one possible implementation manner, the determining whether the capacity of the transformer needs to be increased, suspended or reduced according to the maximum demand of the upper metering month, 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 expanded or reduced, calculating the preset maximum monthly demand after expanded or reduced; judging whether the preset maximum monthly demand is greater than the total capacity of the transformer or not; if the transformer capacity is larger than the preset value, determining the transformer updating information as transformer capacity increase; if not, judging whether the number of the transformers is greater than one; if yes, determining the transformer update information as the transformer pause or volume reduction under the condition that the partial transformer capacity is larger than the preset maximum monthly demand.
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 conception, the embodiment of the application also provides a basic electricity price charging mode selecting device, which 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 used for storing one or more program instructions; the processor is configured to execute one or more program instructions to perform a method as described in any of the above methods.
Based on the same technical concept, the embodiment of the 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 identical and similar parts of each embodiment are referred to each other, and each embodiment mainly describes differences from other embodiments. For relevance, see the description of the method embodiments.
It should be noted that although the operations of the method of the present invention are depicted in the drawings in a particular order, this does not require or imply that the operations be performed in that particular order or that all illustrated operations be performed to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform.
Although the application provides method operational steps as an example or a flowchart, more or fewer operational steps may be included based on conventional or non-inventive means. The order of steps recited in the embodiments is merely one way of performing the order of steps and does not represent a unique order of execution. When implemented by an apparatus or client product in practice, the methods illustrated in the embodiments or figures may be performed sequentially or in parallel (e.g., in a parallel processor or multi-threaded processing environment, or even in a distributed data processing environment). 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, it is not excluded that additional identical or equivalent elements may be present in a process, method, article, or apparatus that comprises a described element.
The units, devices or modules etc. set forth in the above embodiments may be implemented in particular by a computer chip or entity or by a product having a certain function. For convenience of description, the above devices are described as being functionally divided into various modules, respectively. Of course, when implementing the present application, the functions of each module may be implemented in the same or multiple pieces of software and/or hardware, or a module implementing the same function may be implemented by multiple sub-modules or a combination of sub-units. The above-described apparatus embodiments are merely illustrative, for example, the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
Those skilled in the art will also appreciate that, in addition to implementing the controller in a pure computer readable program code, it is well possible to implement the same functionality by logically programming the method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers, etc. Such a controller can be regarded as a hardware component, and means for implementing various functions included therein can also be regarded as a structure within the hardware component. Or even means for achieving the various functions may be regarded as either software modules implementing the methods or structures within hardware components.
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 embodiments, it will be apparent to those skilled in the art that the present application may be implemented in software plus a necessary general hardware platform. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art 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, etc., including several instructions for causing a computer device (which may be a personal computer, a mobile terminal, a server, or a network device, etc.) to execute the method according to the embodiments or some parts of the embodiments of the present application.
Various embodiments in this specification are described in a progressive manner, and identical or similar parts are all provided for each embodiment, each embodiment focusing on differences from other embodiments. The application is operational with numerous general purpose or special purpose computer system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet 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 foregoing description of the embodiments has been provided for the purpose of illustrating the general principles of the application, and is not meant to limit the scope of the application, but to limit the application to the particular embodiments, and any modifications, equivalents, improvements, etc. that fall within the spirit and principles of the application are intended to be included within the scope of the application.
Claims (4)
1. A basic electricity price charging mode selection method, characterized in that the method comprises:
Step one: receiving a basic electricity price charging mode optimization request message sent by a user terminal;
Step two: acquiring ammeter metering data in real time through an RS-485 communication module or an 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 basic electricity price comprises a maximum required basic electricity price b and a transformer capacity basic electricity price a, and the ammeter metering data comprises real-time power and a monthly maximum required amount X; the transformer configuration information comprises the number n of transformers and the total capacity tc of the transformers;
Step three: judging whether the yield is increased or reduced in the next month according to the yield increasing plan; if not, executing the fourth step; if yes, executing the step eight;
Step four: judging whether the number n of the transformers is larger than 1, if not, executing the fifth step; if yes, executing a step twelve;
Step five: calculating the value obtained by subtracting the product of the total capacity of the transformer and the basic power price of the capacity from the product of the maximum required amount and the basic power price of the maximum required amount in the upper measurement month, and marking the value as Y;
step six: judging whether the calculated value of Y is greater than 0, if so, executing the step seven; if not, the basic electricity price adopts the maximum required basic electricity price b;
step seven: the basic electricity price adopts the basic electricity price a of the transformer capacity;
Step eight: the maximum predicted power after the expansion or the reduction of the yield is X2, wherein X2 is calculated according to the power and the working time of the expansion equipment or the reduction equipment based on the historical ammeter data;
Step nine: judging whether the predicted maximum power is X2 which is smaller than the total capacity tc of the transformer, if so, executing the step ten; if not, executing the step eleventh;
step ten: updating the value of the maximum monthly demand to X2, and turning to the step four;
step eleven: handling capacity increment of the transformer, wherein the capacity increment is X2-tc, and the basic electricity charge adopts the basic electricity price a of the transformer capacity;
step twelve: judging whether the capacity of part of the number of voltage devices is larger than X, if not, executing the fifth step, and if so, executing the thirteenth step;
step thirteen: and handling the suspension or volume reduction of the rest transformers, wherein the basic electricity price adopts the basic electricity price a of the transformer capacity.
2. 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.
3. A basic electricity rate charging mode selection 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 used for storing one or more program instructions; the processor being configured to execute one or more program instructions for performing the method of any of claims 1-2.
4. A computer readable storage medium, characterized in that the computer storage medium contains one or more program instructions for performing the method according to any of claims 1-2.
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