Prepayment function remote control method based on transfer power supply main body and terminal user

Abstract

The invention discloses a prepaid function remote control method based on a power supply transfer main body and a terminal user, relates to the technical field of prepaid function remote control, and solves the problem that in the prior art, energy consumption data analysis cannot be performed on the terminal user and the corresponding power supply transfer main body when the terminal user performs remote meter reading; the method specifically comprises the following steps: performing energy consumption data analysis on a power supply main body and a terminal user, deducing whether the current power consumption is abnormal or not according to the energy consumption data analysis, and performing remote meter reading when determining that the current power consumption is abnormal; performing real-time energy consumption prediction on the terminal user, and performing prepayment recommendation according to the energy consumption prediction; according to the real-time energy consumption demand prediction analysis of the terminal user, deducing whether the electricity consumption habit and the electricity consumption demand of the current terminal user need to be prepaid or not; and carrying out supply efficiency analysis according to the power supply process of the power supply transfer main body and the terminal user, and formulating an electric loss sharing rule according to an efficiency analysis result.

Description

Technical Field

[0001] The present invention relates to the technical field of remote control of prepaid functions, and in particular to a remote control method of prepaid functions based on a power supply transfer subject and a terminal user. Background Art

[0002] With the application and development of energy big data, carrying out comprehensive energy services has become an important development direction to improve energy service efficiency, reduce energy costs, and promote competition and cooperation. At present, users such as industrial small and micro parks, commercial complexes, properties, and office buildings have large energy demands, and there are generally power supply service links, and the demand for intelligent energy management is increasing.

[0003] However, in the prior art, when the terminal user performs remote meter reading, it is impossible to analyze the energy consumption data of the terminal user and the corresponding power supply entity, so that the eligibility of the remote meter reading data cannot be guaranteed. At the same time, it is impossible to perform terminal user analysis and recommendation based on prepaid payments, resulting in the inability to execute prepaid payments for different types of terminal users, thereby reducing the execution efficiency of prepaid payments.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to solve the above-mentioned problems and to propose a remote control method for the prepaid function based on the power supply transfer subject and the terminal user.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] The remote control method for the prepayment function based on the power supply transfer subject and the terminal user, the specific control method steps are as follows:

[0008] Step 1: Analyze the energy consumption data of the power supply transfer entity and the end user, and infer whether there is any abnormality in the current power consumption based on the energy consumption data analysis, and perform remote meter reading when it is determined that there is no abnormality;

[0009] Step 2: Conduct real-time energy consumption forecasts for end users and make prepayment recommendations based on the energy consumption forecasts; infer the current end user's electricity usage habits and whether prepayment is required based on the real-time energy consumption demand forecast analysis of the end user;

[0010] Step 3: Conduct supply efficiency analysis based on the power supply process of the power supply transfer entity and the end user, and formulate power loss sharing rules based on the efficiency analysis results;

[0011] Step 4: After the prepayment is recommended and executed, a remote control efficiency evaluation is performed on the use of the prepayment to infer whether the use efficiency of the prepayment is qualified.

[0012] As a preferred embodiment of the present invention, the energy consumption data analysis process in step 1 is as follows:

[0013] The subject influence information and user influence information are collected. If the subject influence information exceeds the span value ratio threshold, or the user influence information exceeds the deviation frequency value ratio threshold, a data abnormality signal is generated; if the subject influence information does not exceed the span value ratio threshold, and the user influence information does not exceed the deviation frequency value ratio threshold, a data normal signal is generated.

[0014] As a preferred embodiment of the present invention, the subject impact information and the user impact information are respectively the ratio of the floating span of the corresponding supply loss amount when the power supply subject continuously supplies the same demand power amount during the power supply and distribution process to the span value of the maximum control floating span of the corresponding supply speed, and the ratio of the floating deviation value of the power consumption of the terminal user with the same power equipment when the power supply and distribution process is in operation to the corresponding numerical value of the non-fluctuation frequency of the power consumption of the corresponding same power equipment in operation.

[0015] As a preferred implementation of the present invention, the real-time energy consumption prediction process in step 2 is as follows:

[0016] User usage information and user habit information are obtained. If the user usage information exceeds the power value ratio, or the user habit information exceeds the continuously increasing frequency threshold, a prepaid recommendation signal is generated; if the user usage information does not exceed the power value ratio, and the user habit information does not exceed the continuously increasing frequency threshold, a low-frequency recommendation signal is generated.

[0017] As a preferred embodiment of the present invention, the user usage information and the user habit information are respectively the ratio of the increase span of the initial power consumption demand value of the equipment when the power consuming equipment continues to run during the terminal user's power usage process to the corresponding numerical value of the continuous valley value of the remaining amount of purchased power at the end of a single power usage cycle, and the frequency of continuous increase in the excess of the power consumption time of the power consuming equipment in the terminal user's historical power usage cycle and the actual usage time of the historical user.

[0018] As a preferred embodiment of the present invention, the supply efficiency analysis process in step 3 is as follows:

[0019] The power loss allocation coefficient is collected and substituted into the formula to obtain the power loss allocation coefficient. If the power loss allocation coefficient does not exceed the power loss allocation coefficient threshold, the equal allocation rule is executed, that is, the total power loss is divided according to the proportion of power demand of all terminal users; if the power loss allocation coefficient exceeds the power loss allocation coefficient threshold, the specific allocation rule is executed, that is, the total power loss proportion of the current terminal user's power demand proportion is divided according to the proportion of the terminal user coefficient abnormal duration to the total duration, and the power supply entity increases the power loss division ratio for the terminal users whose power loss allocation coefficient is lower than one-half of the power loss allocation coefficient threshold, and the increase ratio is formulated according to the reduced power loss of the reduced terminal users.

[0020] As a preferred embodiment of the present invention, the power loss sharing coefficient includes the proportion of time when the terminal user's power consumption equipment is not supplied with rated power when the terminal user receives power from the power supply entity in real time during the power supply and distribution process, the numerical deviation of the maximum supply ratio of different terminal users at the same time during the power supply and distribution process, and the corresponding numerical ratio of the span of continuous increase in power loss within the terminal user's real-time power consumption cycle during the power supply and distribution process to the terminal user's power consumption cycle supply frequency.

[0021] As a preferred implementation of the present invention, the process of evaluating the efficiency of prepaid remote control in step 4 is as follows:

[0022] Execution change data and execution impact data are collected. If the execution change data exceeds the parameter ratio threshold, or the execution impact data does not exceed the no-floating duration threshold, a data reanalysis signal is generated; if the execution change data does not exceed the parameter ratio threshold, and the execution impact data exceeds the no-floating duration threshold, an execution efficiency signal is generated.

[0023] As a preferred embodiment of the present invention, the execution change data and the execution impact data are respectively the ratio of the actual total cost deviation for the same electricity usage cycle after the terminal user executes prepayment in the power supply and distribution process and the corresponding parameter ratio of the secondary supplementary frequency reduction span within the power usage cycle, and the constant non-floating duration of the actual operating power of the power consuming equipment after the terminal user executes prepayment in the power supply and distribution process.

[0024] Compared with the prior art, the present invention has the following beneficial effects:

[0025] 1. In the present invention, the energy consumption data of the power supply entity and the terminal user are analyzed to ensure that the electricity consumption is qualified, so as to ensure that the collected electricity consumption data is normal data, thereby improving data availability, and performing remote meter reading when the availability exceeds the set threshold; according to the real-time energy consumption demand forecast analysis of the terminal user, the current terminal user's electricity consumption habits and whether the electricity demand needs to be prepaid are inferred, the frequency of prepaid use is increased while also improving the quality of prepaid use, and suitable terminal users are screened for prepayment. Users can choose the appropriate recharge amount according to their own electricity demand and budget, and flexibly control electricity expenses; when the electricity is exhausted, the meter will automatically cut off the power supply to avoid the user's electricity bill loss caused by forgetting to recharge; it can also effectively solve the problem of users' arrears in electricity bills and reduce the operating risks of power supply companies.

[0026] 2. In the present invention, when the power supply subject (such as commercial complexes, industrial parks, properties, etc.) supplies power to the power supply customers (end users), due to power transmission and the use of public facilities, certain power losses and electricity costs will be generated; these costs need to be borne by all power supply customers through a shared basis; and they shall be reasonably shared according to the power supply needs and power supply quality of different users;

[0027] Conduct remote control efficiency evaluation on the use of prepaid payments to infer whether the efficiency of prepaid payments is qualified; after the prepaid function is executed, evaluate the power supply and distribution efficiency of the power supply entity and end users after prepaid payments, and monitor and evaluate the remote control efficiency of prepaid payments to monitor the efficiency of the prepaid function in real time. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0029] Figure 1 It is a schematic diagram of the principle flow of the present invention;

[0030] Figure 2 It is a flow chart of a specific method of the present invention. DETAILED DESCRIPTION

[0031] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0033] See also Figure 1 - Figure 2 As shown, the remote control method of the prepayment function based on the power supply transfer subject and the terminal user, the specific control method steps are as follows:

[0034] Step 1: Analyze the energy consumption data of the power supply transfer subject and the end user, and infer whether there is any abnormality in the current power consumption based on the energy consumption data analysis, and perform remote meter reading when it is determined that there is no abnormality; ensure that the power consumption is qualified through the energy consumption data analysis of the power supply transfer subject and the end user, so as to ensure that the collected power consumption data is normal data, thereby improving data availability, and perform remote meter reading when the availability exceeds the set threshold; remote meter reading specifically involves placing many meters together, and all meters have built-in single-chip microcomputers, which can read the actual power consumption data through the single-chip microcomputer and communicate with the outside through RS-485 communication; use the RS-485 communication capability of the DTU to connect it in parallel with the meter, and use the DTU to connect to the mobile network and the meter reading data service center, so that the meter reading data service center can directly access each meter and realize remote meter reading;

[0035] Step 2: Conduct real-time energy consumption forecasts for end users, and make prepayment recommendations based on the energy consumption forecasts; Based on the real-time energy consumption demand forecast analysis of end users, infer the current end user's electricity usage habits and whether prepayment is required for electricity demand, increase the frequency of prepayment use while also improving the quality of prepayment use, screen suitable end users for prepayment, and users can choose the appropriate recharge amount based on their own electricity needs and budgets, and flexibly control electricity expenses. When the power is exhausted, the meter will automatically cut off the power supply to avoid electricity bill losses caused by users forgetting to recharge; it can also effectively solve the problem of users defaulting on electricity bills and reduce the operating risks of power supply companies;

[0036] Step 3: Conduct supply efficiency analysis based on the power supply process of the power supply subject and the end user, and formulate power loss sharing rules based on the efficiency analysis results; when the power supply subject (such as commercial complexes, industrial parks, properties, etc.) supplies power to the power supply customers (end users), due to power transmission and the use of public facilities, certain power losses and electricity costs will be incurred; these costs need to be shared by all power supply customers through sharing; and they should be reasonably shared according to the power supply needs and power supply quality of different users;

[0037] Step 4: After the prepayment recommendation is completed and executed, the remote control efficiency of the prepayment is evaluated to infer whether the efficiency of the prepayment is qualified; after the prepayment function is executed, the power supply and distribution efficiency of the power supply subject and the end user after the prepayment is evaluated, and the remote control efficiency of the prepayment is monitored and evaluated, and the efficiency of the prepayment function is monitored in real time;

[0038] The energy consumption data analysis process in step 1 is as follows:

[0039] The numerical ratio of the floating span of the corresponding supply loss amount when the power supply subject of the power supply transfer process continuously supplies the same power demand and the span of the corresponding maximum control floating span of the supply speed is obtained, wherein the numerical ratio is compared with the numerical value of the collected data, without considering the problem of inconsistent data units and only considering the impact of numerical fluctuations; at the same time, the numerical ratio of the floating deviation value of the power consumption of the same power equipment of the terminal user during the power supply and distribution process and the corresponding numerical ratio of the non-fluctuation frequency of the power consumption of the same power equipment during operation is obtained, and the numerical ratio of the floating span of the corresponding supply loss amount when the power supply subject of the power supply transfer process continuously supplies the same power demand and the span of the corresponding maximum control floating span of the supply speed, and the numerical ratio of the floating deviation value of the power consumption of the same power equipment of the terminal user during the power supply and distribution process and the corresponding numerical ratio of the non-fluctuation frequency of the power consumption of the same power equipment during operation are marked as subject impact information and user impact information, respectively, and compared with the span numerical ratio threshold and the deviation frequency numerical ratio threshold respectively:

[0040] If the ratio of the floating span of the corresponding supply loss amount to the corresponding maximum supply speed control floating span when the power supply subject continuously supplies the same power demand during the power supply and distribution process exceeds the span value ratio threshold, or the ratio of the floating deviation value of the power consumption of the same power equipment of the terminal user during the power supply and distribution process to the corresponding non-fluctuating frequency of the power consumption of the same power equipment exceeds the deviation frequency value ratio threshold, it is inferred that the energy consumption data analysis of the power supply subject and the terminal user is abnormal, and a data abnormality signal is generated and sent to the administrator terminal. After receiving the data abnormality signal, the administrator terminal conducts on-site inspection of the statistical meter and the user's electrical equipment;

[0041] If the ratio of the floating span of the corresponding supply loss amount to the corresponding maximum control floating span of the supply speed when the power supply subject continuously supplies the same power demand during the power supply and distribution process does not exceed the span value ratio threshold, and the floating deviation value of the power consumption of the same power equipment of the terminal user during the power supply and distribution process and the corresponding value ratio of the non-fluctuating frequency of the power consumption of the same power equipment during operation do not exceed the deviation frequency value ratio threshold, it is inferred that the energy consumption data analysis of the power supply subject and the terminal user is normal, and a data normal signal is generated and sent to the administrator terminal; after the administrator terminal receives the data normal signal, it completes the remote meter reading by remotely controlling the meter to perform data statistics;

[0042] The real-time energy consumption prediction process in step 2 is as follows:

[0043] Obtain the ratio of the increase span of the initial power consumption demand value of the equipment when the power consuming equipment is continuously running during the power use process of the end user to the corresponding numerical value of the continuous valley value of the remaining amount of power purchased at the end of a single power consumption cycle, and at the same time obtain the continuous increase frequency of the excess of the power consumption time of the power consuming equipment in the historical power consumption cycle of the end user and the actual use time of the historical user, where the actual use time is the processing time of the instructions received by the device using the power consuming equipment by the user, to avoid the increase of power consumption time due to forgetting to operate the equipment and the user not actually using electricity, so as to infer whether prepayment is required through user habit analysis;

[0044] The increase span of the initial power consumption demand value of the equipment when the power consumption equipment is continuously running during the power use process of the end user and the corresponding numerical ratio of the continuous valley value of the remaining amount of power purchased at the end of a single power consumption cycle, and the frequency of the continuous increase of the power consumption time of the power consumption equipment in the historical power consumption cycle of the end user and the actual usage time of the historical user are marked as user usage information and user habit information, and compared with the power value ratio and the continuous increase frequency threshold respectively:

[0045] If the increase span of the initial power consumption demand value of the equipment during the continuous operation of the power consuming equipment during the terminal user's power use exceeds the corresponding value ratio of the continuous valley value of the remaining amount of power purchased at the end of a single power consumption cycle, or the power consumption time of the power consuming equipment in the terminal user's historical power consumption cycle and the actual usage time of the historical user exceed the continuous increase frequency threshold, it is inferred that the real-time energy consumption forecast of the terminal user is marked as a high-demand recommendation type, a prepaid recommendation signal is generated and sent to the administrator terminal, and after receiving the prepaid recommendation signal, the administrator terminal sends the recommendation information to the mobile terminal of the corresponding terminal user;

[0046] If the increase span of the initial power consumption demand value of the equipment when the power consuming equipment is continuously running during the terminal user's power usage and the corresponding value ratio of the continuous valley value of the remaining amount of power purchased at the end of a single power usage cycle do not exceed the power value ratio, and the continuous increase frequency of the excess of the power consumption time of the power consuming equipment in the terminal user's historical power usage cycle and the actual usage time of the historical user does not exceed the continuous increase frequency threshold, it is inferred that the real-time energy consumption forecast of the terminal user is marked as a low-demand recommendation type, a low-frequency recommendation signal is generated and sent to the administrator terminal. After the administrator terminal receives the low-frequency recommendation signal, it makes a prepayment recommendation when the current terminal user's power usage cycle has not ended and the power consumption is insufficient;

[0047] Step 3: Supply efficiency analysis process is as follows:

[0048] The proportion of time when the terminal user's power consumption equipment is not supplied with rated power when the terminal user receives power from the power supply transfer subject in real time during the power supply and distribution process is obtained, and at the same time, the numerical deviation of the maximum supply ratio of different terminal users at the same time in the power supply and distribution process is obtained, and the proportion of time when the terminal user's power consumption equipment is not supplied with rated power when the terminal user receives power from the power supply transfer subject in real time during the power supply and distribution process and the numerical deviation of the maximum supply ratio of different terminal users at the same time in the power supply and distribution process are marked as SCZ and SZP respectively; wherein the supply ratio is expressed as the numerical ratio of the actual supply power of the terminal user at the current moment to the actual required power;

[0049] Obtain the numerical ratio of the continuous increase span of the power loss of the terminal user in the real-time power consumption cycle during the power supply and distribution process to the power consumption cycle supply frequency of the terminal user, and mark the numerical ratio of the continuous increase span of the power loss of the terminal user in the real-time power consumption cycle during the power supply and distribution process to the power consumption cycle supply frequency of the terminal user as SZB;

[0050] The above collected data are uniformly marked as the power loss allocation coefficient, and substituted into the formula to obtain the power loss allocation coefficient of the end user in the power supply and distribution process, where the formula is: Among them, DT is the power loss sharing coefficient, fbz1, fbz2, and fbz3 are preset proportional coefficients respectively, and α is used as the error correction factor, which is set to 1.1;

[0051] Compare the power loss allocation coefficient of the end user in the power supply and distribution process with the power loss allocation coefficient threshold:

[0052] If the power loss allocation coefficient of the terminal user does not exceed the power loss allocation coefficient threshold during the power supply and distribution process, it is inferred that the power loss allocation coefficient analysis of the current terminal user is normal, and the equal allocation rule is implemented, that is, the total power loss is divided according to the proportion of power demand of all terminal users;

[0053] If the power loss allocation coefficient of the terminal user exceeds the power loss allocation coefficient threshold during the power supply and distribution process, it is inferred that the power loss allocation coefficient analysis of the current terminal user is abnormal, and a specific allocation rule is executed, that is, the total power loss ratio of the current terminal user's power demand is divided according to the ratio of the abnormal duration of the terminal user coefficient to the total duration, and the power supply entity increases the power loss division ratio for the terminal users whose power loss allocation coefficient is lower than one-half of the power loss allocation coefficient threshold, and the increase ratio is formulated according to the reduced power loss of the lowered terminal users;

[0054] Step 4: The prepaid remote control efficiency evaluation process is as follows:

[0055] The actual total cost deviation of the same electricity consumption cycle after the terminal user executes prepayment in the power supply and distribution process and the parameter ratio corresponding to the secondary supplementary frequency reduction span within the power consumption cycle are obtained. At the same time, the constant non-floating duration of the actual operating power of the power consumption equipment after the terminal user executes prepayment in the power supply and distribution process is obtained. The actual total cost deviation of the same electricity consumption cycle after the terminal user executes prepayment in the power supply and distribution process and the parameter ratio corresponding to the secondary supplementary frequency reduction span within the power consumption cycle, and the constant non-floating duration of the actual operating power of the power consumption equipment after the terminal user executes prepayment in the power supply and distribution process are marked as execution change data and execution impact data, respectively, and compared with the parameter ratio threshold and the non-floating duration threshold, respectively:

[0056] If the deviation of the actual total cost of the same electricity consumption cycle after the terminal user executes prepayment in the power supply and distribution process exceeds the parameter ratio threshold and the parameter ratio corresponding to the secondary supplementary frequency reduction span within the power consumption cycle, or the constant non-floating duration of the actual operating power of the power consuming equipment after the terminal user executes prepayment in the power supply and distribution process does not exceed the non-floating duration threshold, it is inferred that the prepayment execution efficiency in the power supply and distribution process is low, and a data re-analysis signal is generated and sent to the administrator terminal. After receiving the data re-analysis signal, the administrator terminal re-collects and analyzes the electricity consumption data of the terminal user and re-recommends the prepaid terminal users;

[0057] If the actual total cost deviation of the same electricity consumption cycle after the terminal user executes prepayment in the power supply and distribution process does not exceed the parameter ratio threshold value and the constant non-floating duration of the actual operating power of the power consuming equipment after the terminal user executes prepayment in the power supply and distribution process exceeds the non-floating duration threshold value, it is inferred that the prepayment execution efficiency in the power supply and distribution process is high, and an execution high efficiency signal is generated and sent to the administrator terminal. After receiving the execution high efficiency signal, the administrator terminal continues to perform prepayment remote control on the terminal user;

[0058] The above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The coefficients in the formula are set by technicians in this field according to actual conditions;

[0059] When the present invention is in use, it analyzes the energy consumption data of the power supply transfer entity and the terminal user, and infers whether there is any abnormality in the current power consumption based on the energy consumption data analysis, and performs remote meter reading when it is determined that there is no abnormality; it performs real-time energy consumption forecasting on the terminal user, and makes prepayment recommendations based on the energy consumption forecasting; it infers the current terminal user's power consumption habits and whether the power demand requires prepayment based on the real-time energy consumption demand forecasting analysis of the terminal user; it performs supply efficiency analysis based on the power supply process of the power supply transfer entity and the terminal user, and formulates power loss sharing rules based on the efficiency analysis results; after the prepayment is recommended and executed, it performs remote control efficiency evaluation on the use of the prepayment to infer whether the use efficiency of the prepayment is qualified.

[0060] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A remote control method for prepayment function based on power supply transfer subject and terminal user, characterized in that: The specific control method steps are as follows: Step 1: Analyze the energy consumption data of the power supply entity and the end user, and infer whether there is any abnormality in the current power consumption based on the energy consumption data analysis, and perform remote meter reading when it is determined that there is no abnormality; Step 2: Conduct real-time energy consumption forecasts for end users and make prepayment recommendations based on the energy consumption forecasts; infer the current end user's electricity usage habits and whether prepayment is required based on the real-time energy consumption demand forecast analysis of the end user; Step 3: Conduct supply efficiency analysis based on the power supply process of the power supply transfer entity and the end user, and formulate power loss sharing rules based on the efficiency analysis results; Step 4: After the prepayment is recommended and executed, a remote control efficiency evaluation is performed on the use of the prepayment to infer whether the use efficiency of the prepayment is qualified.

2. The remote control method for prepaid functions based on power supply transfer entities and terminal users according to claim 1 is characterized in that: The energy consumption data analysis process in step 1 is as follows: The subject influence information and user influence information are collected. If the subject influence information exceeds the span value ratio threshold, or the user influence information exceeds the deviation frequency value ratio threshold, a data abnormality signal is generated; if the subject influence information does not exceed the span value ratio threshold, and the user influence information does not exceed the deviation frequency value ratio threshold, a data normal signal is generated.

3. The remote control method for prepaid functions based on power supply transfer entities and terminal users according to claim 2 is characterized in that: The subject impact information and user impact information are respectively the ratio of the floating span of the corresponding supply loss when the power supply subject continuously supplies the same demand power during the power supply and distribution process to the span value of the maximum control floating span of the corresponding supply speed, and the ratio of the floating deviation value of the power consumption of the same power equipment of the terminal user during the power supply and distribution process to the corresponding numerical ratio of the non-fluctuation frequency of the power consumption of the same power equipment.

4. The remote control method for prepaid functions based on power supply transfer entities and terminal users according to claim 1 is characterized in that: The real-time energy consumption prediction process in step 2 is as follows: User usage information and user habit information are obtained. If the user usage information exceeds the power value ratio, or the user habit information exceeds the continuously increasing frequency threshold, a prepaid recommendation signal is generated; if the user usage information does not exceed the power value ratio, and the user habit information does not exceed the continuously increasing frequency threshold, a low-frequency recommendation signal is generated.

5. The remote control method for prepaid functions based on power supply transfer entities and terminal users according to claim 1 is characterized in that: The user usage information and user habit information are respectively the ratio of the increase span of the initial power consumption demand value of the equipment when the power consuming equipment is continuously running during the terminal user's power usage process to the corresponding numerical value of the continuous valley value of the remaining amount of purchased power at the end of a single power usage cycle, and the frequency of continuous increase in the excess amount between the power consumption time of the power consuming equipment in the terminal user's historical power usage cycle and the actual usage time of the historical user.

6. The remote control method for prepaid functions based on power supply transfer entities and terminal users according to claim 1 is characterized in that: Step 3: Supply efficiency analysis process is as follows: The power loss allocation coefficient is collected and substituted into the formula to obtain the power loss allocation coefficient. If the power loss allocation coefficient does not exceed the power loss allocation coefficient threshold, the equal allocation rule is executed, that is, the total power loss is divided according to the proportion of power demand of all terminal users; if the power loss allocation coefficient exceeds the power loss allocation coefficient threshold, the specific allocation rule is executed, that is, the total power loss proportion of the current terminal user's power demand proportion is divided according to the proportion of the terminal user coefficient abnormal duration to the total duration, and the power supply entity increases the power loss division ratio for the terminal users whose power loss allocation coefficient is lower than one-half of the power loss allocation coefficient threshold, and the increase ratio is formulated according to the reduced power loss of the reduced terminal users.

7. The remote control method for prepaid functions based on power supply transfer entities and terminal users according to claim 6 is characterized in that: The electricity loss sharing coefficient includes the proportion of time when the terminal user's power consumption equipment is not supplied at rated power when the terminal user receives power from the power supply entity in real time during the power supply and distribution process, the numerical deviation of the maximum supply ratio of different terminal users at the same time in the power supply and distribution process, and the corresponding numerical ratio of the span of continuous increase in electricity loss during the terminal user's real-time power consumption cycle during the power supply and distribution process and the supply frequency of the terminal user's power consumption cycle.

8. The remote control method for prepaid functions based on power supply transfer entities and terminal users according to claim 1 is characterized in that: Step 4: The prepaid remote control efficiency evaluation process is as follows: Execution change data and execution impact data are collected. If the execution change data exceeds the parameter ratio threshold, or the execution impact data does not exceed the no-floating duration threshold, a data reanalysis signal is generated; if the execution change data does not exceed the parameter ratio threshold, and the execution impact data exceeds the no-floating duration threshold, an execution efficiency signal is generated.

9. The remote control method for prepaid functions based on power transfer entities and end users according to claim 1 is characterized in that: The execution change data and execution impact data are respectively the ratio of the actual total cost deviation in the same electricity consumption cycle after the terminal user executes prepayment in the power supply and distribution process and the corresponding parameter ratio of the secondary replenishment frequency reduction span within the power consumption cycle, and the constant non-floating duration of the actual operating power of the power consumption equipment after the terminal user executes prepayment in the power supply and distribution process.

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