Charging pile power dynamic monitoring method and device, computer equipment and storage medium

Abstract

The application relates to the technical field of charging monitoring, in particular to a charging pile power dynamic monitoring method and device, computer equipment and a storage medium, the charging pile power dynamic monitoring method comprises the following steps: monitoring total power of household appliance power consumption in real time, calculating a household appliance power consumption peak value according to the total power of household appliance power consumption; obtaining total power consumption quota, calculating available maximum power of a charging pile according to the household appliance power consumption peak value and the total power consumption quota; when a charging pile starting message is obtained, demodulating the available maximum power of the charging pile to obtain a charging pile working current signal; and responding to the charging pile starting message according to the charging pile working current signal. The application has the effect of improving the stability of power consumption when a user uses a household charging pile to charge.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of charging monitoring, in particular to a charging pile power dynamic monitoring method and device, computer equipment and a storage medium. BACKGROUND

[0002] At present, with the continuous popularity of new energy vehicles, the advantages of energy saving and environmental protection and cost saving of vehicles, users are more and more willing to choose to purchase and use new energy vehicles instead of traditional fuel vehicles. In order to improve the convenience of charging of new energy vehicles, the construction of charging piles is also constantly improved, and private charging piles will also be installed in users' homes to charge new energy vehicles.

[0003] And with more and more charging piles, the demand for electricity will be greater and greater, which is easy to cause voltage overload. For example, in a residential area, a household in a unit may have a total of 10,000 watts of capacity, and after adding a 7,000-watt charging pile, it means that household appliances cannot exceed 3,000 watts. When the household appliances exceed 3,000 watts, if the charging pile is used, the tripping will occur, so there is still room for improvement. SUMMARY

[0004] In order to improve the stability of electricity when users use household charging piles to charge, the application provides a charging pile power dynamic monitoring method, device, computer equipment and storage medium.

[0005] The above application object of the application is achieved by the following technical scheme:

[0006] A charging pile power dynamic monitoring method, the charging pile power dynamic monitoring method comprises:

[0007] Real-time monitoring of total power of household appliances, calculating the peak power of household appliances according to the total power of household appliances;

[0008] Obtaining the total power of the power, calculating the maximum power available for the charging pile according to the peak power of the household appliances and the total power of the power;

[0009] When the charging pile start message is obtained, the maximum power available for the charging pile is demodulated to obtain the charging pile working current signal;

[0010] According to the charging pile working current signal, the charging pile start message is responded.

[0011] By adopting the technical scheme, before charging the vehicle through the household charging pile, the practical situation of the household appliance is monitored to obtain the total power consumption of the household appliance and calculate the peak power consumption of the household appliance, so that the maximum available power of the household charging pile can be calculated according to the total power consumption, and when the charging pile start message is obtained, that is, when the user starts to charge through the charging pile, the charging pile can work according to the maximum available power, thereby playing a role of dynamic load balancing and reducing the occurrence of charging overload. Meanwhile, the maximum available power of the charging pile is generated and sent to the control terminal of the charging pile, the maximum available power of the charging pile is demodulated to obtain the working signal of the charging pile, so that the dynamic load balancing of the charging pile charging can be realized through the power carrier, and the cable wiring is reduced through wireless transmission, thereby reducing the information distortion caused by cable transmission.

[0012] In a preferred example, the application can be further configured to: the real-time monitoring of the total power consumption of the household appliance, calculating the peak power consumption of the household appliance according to the total power consumption of the household appliance, specifically comprising:

[0013] Obtaining user home situation, obtaining current time data and vehicle parking data from the user home situation;

[0014] Inputting the current time data and the vehicle parking data into a preset household appliance power consumption prediction model to obtain a household appliance use prediction result;

[0015] According to the household appliance use prediction result and the total power consumption of the household appliance, the peak power consumption of the household appliance is calculated.

[0016] By adopting the technical scheme, by obtaining the current time data and the vehicle parking data and inputting the data into the preset household appliance power consumption prediction model, the current occupants and the number of occupants in the home can be determined according to whether the user parks the vehicle at the parking space corresponding to the household charging column, and the user's power consumption in the future period of time, that is, the household appliance use prediction result, can be determined according to the current time, so that the calculated peak power consumption of the household appliance is more reliable, and the risk of tripping caused by starting high-power household appliances while the user is charging through the charging pile is reduced.

[0017] In a preferred example, the application can be further configured to: before the current time data and the vehicle parking data are input into the preset household appliance power consumption prediction model to obtain the household appliance use prediction result, the charging pile power dynamic monitoring method comprises:

[0018] Obtaining historical household power consumption data corresponding to each period and vehicle parking data corresponding to each historical household power consumption data;

[0019] After the historical household power consumption data and the corresponding vehicle parking data of each period are associated, a model training set is obtained;

[0020] The model training set is used to train an initial model in sequence of periods to obtain the household appliance power consumption prediction model.

[0021] By using the above technical solution, the initial model is trained through historical data, and the household appliance power consumption prediction model is obtained according to whether the user parks the vehicle on the parking space and the use of the household appliance in each period, so that the use of the household appliance in the future period can be predicted according to the current situation of the user in actual use.

[0022] In a preferred example, the application can be further configured to: obtain the total power consumption, calculate the maximum available power of the charging pile according to the household appliance power consumption peak value and the total power consumption, specifically including:

[0023] Obtain the unused household appliance identifier and the household appliance operating power corresponding to each unused household appliance identifier;

[0024] Input the unused household appliance identifier into the household appliance power consumption prediction model to obtain a household appliance use probability, and calculate a power reservation threshold according to the household appliance use probability and the household appliance operating power;

[0025] Calculate the maximum available power of the charging pile according to the power reservation threshold, the household appliance power consumption peak value and the total power consumption.

[0026] By using the above technical solution, the power reservation threshold is calculated, which can reduce the overload trip of the charging pile when the new energy vehicle is charged according to the maximum available power of the charging pile, and the probability of subsequent use of each currently unused household appliance is calculated through the unused household appliance identifier and the household appliance power consumption prediction model, thereby improving the accuracy of the calculated power reservation threshold.

[0027] In a preferred example, the application can be further configured to: the charging pile working current signal responds to the charging pile start message, specifically including:

[0028] When the household appliance operating message corresponding to the unused household appliance identifier is obtained, a newly operated household appliance identifier and the household appliance operating power corresponding to the newly operated household appliance identifier are obtained from the household appliance operating message as a to-be-calculated operating power;

[0029] The charging pile current signal is recalculated according to the to-be-calculated operating power.

[0030] By using the above technical scheme, by recalculating the to-be-calculated operating power, the charging pile current signal can be dynamically adjusted according to the current use of the household appliance by the user, thereby further improving the overall power stability of the user when using the charging column.

[0031] The second application purpose is achieved by the following technical scheme:

[0032] A charging pile power dynamic monitoring device, comprising:

[0033] A peak calculation module for monitoring the total power of household appliances in real time and calculating the peak power of household appliances according to the total power of household appliances;

[0034] A power calculation module for obtaining the total power of power consumption and calculating the maximum available power of the charging pile according to the peak power of household appliances and the total power of power consumption;

[0035] A data demodulation module for demodulating the maximum available power of the charging pile to obtain a charging pile working current signal when the charging pile start message is obtained;

[0036] A charging response module for responding to the charging pile start message according to the charging pile working current signal.

[0037] By using the above technical scheme, before charging the vehicle through the household charging pile, the total power of household appliances is obtained by monitoring the practical situation of household appliances, and the peak power of household appliances is calculated, so that the maximum available power of the household charging pile can be calculated according to the total power of power consumption. When the charging pile start message is obtained, that is, when the user starts to use the charging pile to charge, the charging pile can work according to the maximum available power of the charging pile, thereby playing a role in dynamic load balancing and reducing the occurrence of charging overload. At the same time, by generating the maximum available power of the charging pile and sending it to the control terminal of the charging pile, the maximum available power of the charging pile is demodulated to obtain the charging pile working signal, so that the dynamic load balancing of the charging pile charging can be realized by the power carrier, and the cable wiring is reduced by wireless transmission, thereby reducing the information distortion of cable transmission.

[0038] The third application purpose is achieved by the following technical scheme:

[0039] A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to realize the steps of the above charging pile power dynamic monitoring method.

[0040] The fourth objective of this application is achieved through the following technical solution:

[0041] A computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the above-described method for dynamic monitoring of power in charging piles.

[0042] In summary, this application includes at least one of the following beneficial technical effects:

[0043] 1. Before charging a vehicle through a home charging station, the usage of home appliances is monitored to obtain the total power consumption of the appliances and calculate the peak power consumption. Based on the total power consumption, the maximum available power of the home charging station can be calculated. When the charging station starts charging, i.e. when the user starts charging, the charging station can operate according to the maximum available power of the charging station, thus playing a role in dynamic load balancing and reducing the occurrence of charging overload.

[0044] 2. By generating the maximum available power of the charging pile and sending it to the control terminal of the charging pile, the maximum available power of the charging pile is demodulated to obtain the working signal of the charging pile. Thus, dynamic load balancing of charging pile charging can be achieved through power line carrier, while wireless transmission reduces cable wiring and thus reduces information distortion caused by cable transmission.

[0045] 3. By acquiring current time data and vehicle parking data, and inputting this data into a preset home appliance electricity consumption prediction model, it is possible to determine the number of people currently living in the house based on whether the user has parked the vehicle in the parking space corresponding to the home charging station. Then, based on the current time, it can predict the user's electricity consumption in the future, i.e., the home appliance usage prediction result. This makes the calculated peak home appliance electricity consumption more reliable and reduces the risk of tripping the circuit breaker when users turn on high-power home appliances while using the charging station.

[0046] 4. By calculating the power reservation threshold, the overload tripping situation can be reduced when the charging pile starts to run high-power home appliances while charging new energy vehicles according to the maximum available power of the charging pile. At the same time, by using the unused home appliance identification and the home appliance power consumption prediction model, the probability of each currently unused home appliance being used later can be calculated, thereby improving the accuracy of the calculated power reservation threshold. Attached Figure Description

[0047] Figure 1 This is a flowchart of a method for dynamic power monitoring of charging piles in one embodiment of this application;

[0048] Figure 2This is a flowchart illustrating the implementation of step S10 in the method for dynamic monitoring of charging pile power in one embodiment of this application.

[0049] Figure 3 This is another implementation flowchart of the method for dynamic power monitoring of charging piles in one embodiment of this application;

[0050] Figure 4 This is a flowchart illustrating the implementation of step S20 in the method for dynamic monitoring of charging pile power in one embodiment of this application;

[0051] Figure 5 This is a flowchart illustrating the implementation of step S40 in the method for dynamic monitoring of charging pile power in one embodiment of this application.

[0052] Figure 6 This is a schematic block diagram of a charging pile power dynamic monitoring device in one embodiment of this application;

[0053] Figure 7 This is a schematic diagram of a device according to one embodiment of this application. Detailed Implementation

[0054] The present application will be further described in detail below with reference to the accompanying drawings.

[0055] In one embodiment, such as Figure 1 As shown, this application discloses a method for dynamic monitoring of the power of charging piles, which specifically includes the following steps:

[0056] S10: Real-time monitoring of total power consumption of home appliances, and calculation of peak power consumption of home appliances based on total power consumption.

[0057] In this embodiment, the total power consumption of household appliances refers to the sum of the power of all currently operating household appliances in the residence. The peak power consumption of household appliances refers to the predicted peak value of the total power consumption of the user over a future period.

[0058] Specifically, a current transformer is installed at the power access point of the household to monitor the power consumption in the residential unit in real time, thereby calculating the total power consumption of the household appliances. At the same time, the charging pile and the current transformer are wirelessly connected through the network, and the total power consumption of the household appliances detected by the current transformer in real time is sent to the control terminal of the charging pile through the wireless network. The control terminal of the charging pile then performs further calculations and processing.

[0059] Furthermore, based on the resident's habits of using electrical appliances and the total power consumption of the appliances, the household's appliance usage in the future is predicted, and the peak power consumption of the appliances is calculated based on the prediction results.

[0060] S20: Obtain the total power consumption and calculate the maximum available power of the charging pile based on the peak power consumption of household appliances and the total power consumption.

[0061] In the embodiment, the total power of electricity refers to the maximum power of electricity that the household can bear. The maximum power available for the charging pile refers to the maximum output power available for the charging pile when the household normally uses household appliances.

[0062] Specifically, according to the installation of the power facility of the residential building where the household is located, the total power of electricity is obtained, for example, the total amount of 10kw, that is, when the total power of the electrical appliances used by the household reaches or exceeds the total power of electricity, voltage overload will occur, resulting in tripping.

[0063] Therefore, in order to reduce the situation that voltage overload occurs due to the excessive working power of the charging pile when charging the new energy vehicle using the charging column, the maximum power available for the charging pile is obtained by subtracting the calculated peak power of household appliances from the total power of electricity.

[0064] S30: When the charging pile starting message is obtained, the maximum power available for the charging pile is demodulated to obtain the charging pile working current signal.

[0065] In the embodiment, the charging pile starting message refers to the message triggered when the user charges the vehicle using the charging pile. The charging pile working current signal refers to the maximum output current of the charging pile when charging.

[0066] Specifically, the charging pile starting message is obtained after the user connects the charging plug of the charging pile to the vehicle and triggers the corresponding message of starting charging on the charging pile.

[0067] Further, the maximum power available for the charging pile is demodulated to obtain the maximum output current for limiting the charging of the charging pile when charging, as the charging pile working current signal.

[0068] S40: Respond to the charging pile starting message according to the charging pile working current signal.

[0069] Specifically, after the charging pile working current signal is demodulated, the charging pile starting message is responded to, and the charging pile is controlled to charge the vehicle according to the charging pile working current.

[0070] In this embodiment, before charging the vehicle through a home charging station, the usage of home appliances is monitored to obtain the total power consumption of the appliances and calculate the peak power consumption. Based on the total power consumption, the maximum available power of the home charging station can be calculated. When a charging station startup message is received, i.e., when the user begins charging, the charging station can operate based on the maximum available power, thus achieving dynamic load balancing and reducing charging overload. Simultaneously, by generating the maximum available power of the charging station and sending it to the charging station's control terminal, the maximum available power is demodulated to obtain the charging station's operating signal. This allows for dynamic load balancing of the charging station via power line carrier communication, while wireless transmission reduces cabling and thus minimizes information distortion caused by cable transmission.

[0071] In one embodiment, such as Figure 2 As shown, in step S10, the total power consumption of household appliances is monitored in real time, and the peak power consumption of household appliances is calculated based on the total power consumption. This specifically includes:

[0072] S11: Obtain user's home status, and retrieve current time data and vehicle parking data from the user's home status.

[0073] In this embodiment, "user home status" refers to the current number of users in the residence and their personal information. "Vehicle parking data" refers to whether there are vehicles parked in the user's parking space where a charging station is installed.

[0074] Specifically, since the application scenario of this embodiment is that the user has installed a private charging pile at the parking space, it can be understood that the parking space is the user's private parking space. Therefore, a corresponding monitoring device can be installed at the parking space, such as a corresponding camera device installed at the charging pile, to obtain the vehicle parking data.

[0075] Furthermore, the current time data, along with the vehicle parking data corresponding to the current time, will be used as the user's home status.

[0076] S12: Input the current time data and vehicle parking data into the preset home appliance electricity consumption prediction model to obtain the home appliance usage prediction results.

[0077] In this embodiment, the household appliance electricity consumption prediction model refers to a model used to predict the household's usage of household appliances over a future period. The household appliance usage prediction result refers to the predicted result of the household's household appliance usage over a future period.

[0078] Specifically, the current time data and vehicle parking data are input into the home appliance electricity consumption prediction model. Based on the vehicle parking data and current time data, the model predicts the number of people currently in the household, and based on the current number of people and the current time, it predicts the usage of home appliances in the future. This future period can be set based on the historical average charging time of vehicles. For example, if the vehicle parking data indicates that the vehicle is parked in the corresponding parking space, then the number of people in the household includes at least the car owner and other users. Combined with the current time data, such as 9:00 PM on August 7th, it can be predicted that the household may turn on the bedroom air conditioner and turn off some currently used appliances, such as the television, in the future. This predicts the types of home appliances that will be turned off and on in the future, serving as the home appliance usage prediction result.

[0079] S13: Calculate the peak power consumption of home appliances based on the predicted home appliance usage results and the total power consumption of home appliances.

[0080] Specifically, based on the predicted types of appliances that may be turned on or off in the future, and the operating power of each type of appliance, combined with the current total power consumption of household appliances, the peak power consumption of household appliances is calculated.

[0081] In one embodiment, such as Figure 3 As shown, before step S12, the charging pile power dynamic monitoring method includes:

[0082] S101: Obtain historical household electricity consumption data for each time period, as well as vehicle parking data corresponding to each historical household electricity consumption data.

[0083] Specifically, this involves acquiring vehicle parking data within the same time period while simultaneously monitoring the total power consumption of home appliances in each real-time monitoring session.

[0084] S102: After associating the historical household electricity consumption data for each time period with the corresponding vehicle parking data, the model training set is obtained.

[0085] Specifically, the system divides the day into hourly time periods and obtains historical household electricity consumption data and vehicle parking data for each time period. After associating the historical household electricity consumption data with the vehicle parking data for each time period of the day, the training set for the model is obtained.

[0086] S103: Train the initial model with the model training set according to the time period to obtain the household appliance electricity consumption prediction model.

[0087] Specifically, the data in the model training set is used to train the initial model in sequence according to the time sequence and the corresponding associated data, so as to obtain the household appliance power consumption prediction model.

[0088] In an embodiment, as shown in FIG. 2, in step S20, the total power consumption is obtained, and the maximum available power of the charging pile is calculated according to the peak power consumption of the household appliance and the total power consumption, specifically including: Figure 4

[0089] S21: Obtain the identification of the unused household appliance and the running power of the household appliance corresponding to each unused household appliance identification.

[0090] Specifically, according to the types of household appliances used by the household, the identification of the corresponding household appliance is set. Further, the identification of the household appliance being operated is obtained from the total power consumption of the household appliance, so as to filter the identification of the household appliance that is not started as the unused household appliance identification.

[0091] Further, the working power of the household appliance corresponding to each unused household appliance identification when the household appliance is running is obtained as the running power of the household appliance.

[0092] S22: Input the unused household appliance identification into the household appliance power consumption prediction model to obtain the household appliance usage probability, and calculate the power reservation threshold according to the household appliance usage probability and the running power of the household appliance.

[0093] In this embodiment, the power reservation threshold refers to a threshold set to reduce the situation that the user starts the household appliance that is not started before starting charging, which causes voltage overload when using the charging pile to charge.

[0094] Specifically, the unused household appliance identification is input into the household appliance power consumption prediction model, and the probability that each unused household appliance is used in a future period of time is predicted according to the number of users currently in the household, to obtain the household appliance usage probability.

[0095] Further, the unused household appliance identification whose household appliance usage probability exceeds a preset value is filtered as the predicted household appliance identification, and the running power of the household appliance corresponding to the predicted household appliance identification is obtained. The running power of the household appliance corresponding to the predicted household appliance identification is multiplied by the corresponding household appliance usage probability, and the sum is obtained as the power reservation threshold.

[0096] S23: Calculate the maximum available power of the charging pile according to the power reservation threshold, the peak power consumption of the household appliance, and the total power consumption.

[0097] Specifically, the maximum available power of the charging pile is obtained by subtracting the power reservation threshold and the peak power consumption of the household appliance from the total power consumption.

[0098] In an embodiment, as shown in FIG. 2, in step S20, the total power consumption is obtained, and the maximum available power of the charging pile is calculated according to the peak power consumption of the household appliance and the total power consumption, specifically including: Figure 5 ​As shown, in step S40, i.e. according to the charging pile working current signal, the charging pile starts to respond to the message, specifically including:

[0099] S41: When the unused household appliance identifier corresponding household appliance running message is obtained, the new running household appliance identifier and the new running household appliance identifier corresponding household appliance running power are obtained from the household appliance running message as the to-be-calculated running power.

[0100] Specifically, when the user starts the household appliance corresponding to the unused household appliance identifier, the household appliance running message is triggered, and the identifier of the started household appliance is taken as the new running household appliance identifier, and the household appliance running power corresponding to the new running household appliance identifier is taken as the to-be-calculated running power.

[0101] S42: Recalculate the charging pile current signal according to the to-be-calculated running power.

[0102] Specifically, the to-be-calculated running power and the total household appliance power before obtaining the household appliance running message are summed up as the new total household appliance power, and the charging pile maximum power is recalculated by using the method of calculating the maximum power of the charging pile in steps S21-S23, and then the charging pile current signal is recalculated.

[0103] It should be understood that the size of the serial number of each step in the above embodiment does not mean the order of execution, and the execution order of each process should be determined according to its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0104] In an embodiment, a charging pile power dynamic monitoring device is provided, which corresponds to the charging pile power dynamic monitoring method in the above embodiment. As shown, Figure 6 The charging pile power dynamic monitoring device includes a peak calculation module, a power calculation module, a data demodulation module, and a charging response module. The functions of each functional module are described in detail as follows:

[0105] The peak calculation module is used to monitor the total household appliance power in real time, and calculate the household appliance power peak according to the total household appliance power;

[0106] The power calculation module is used to obtain the total power consumption, and calculate the maximum available power of the charging pile according to the household appliance power peak and the total power consumption;

[0107] The data demodulation module is used to demodulate the maximum available power of the charging pile to obtain the working current signal of the charging pile when the charging pile start message is obtained;

[0108] The charging response module is used to respond to the charging pile start message according to the working current signal of the charging pile.

[0109] Optionally, the peak value calculation module comprises:

[0110] a case data acquisition submodule, configured to acquire a user home case, and acquire current time data and vehicle parking data from the user home case;

[0111] a model prediction submodule, configured to input the current time data and the vehicle parking data into a preset household appliance power consumption prediction model to obtain a household appliance use prediction result;

[0112] a peak value calculation submodule, configured to calculate a household appliance power consumption peak value according to the household appliance use prediction result and a total household appliance power consumption;

[0113] Optionally, the charging pile power dynamic monitoring device further comprises:

[0114] a historical data acquisition module, configured to acquire historical household power consumption data corresponding to each time period, and vehicle parking data corresponding to each historical household power consumption data;

[0115] a training set acquisition module, configured to obtain a model training set by associating the historical household power consumption data of each time period and the corresponding vehicle parking data;

[0116] a model training module, configured to train an initial model according to the model training set in the order of time periods to obtain a household appliance power consumption prediction model.

[0117] Optionally, the power calculation module comprises:

[0118] an unused power acquisition submodule, configured to acquire unused household appliance identifiers and household appliance operating power corresponding to each unused household appliance identifier;

[0119] a threshold value calculation submodule, configured to input the unused household appliance identifiers into the household appliance power consumption prediction model to obtain a household appliance use probability, and calculate a power reservation threshold value according to the household appliance use probability and the household appliance operating power;

[0120] a power calculation submodule, configured to calculate a maximum available power of the charging pile according to the power reservation threshold value, the household appliance power consumption peak value, and a total power consumption.

[0121] Optionally, the charging response module comprises:

[0122] a to-be-calculated data calculation submodule, configured to, when acquiring a household appliance operating message corresponding to an unused household appliance identifier, acquire a newly operating household appliance identifier and household appliance operating power corresponding to the newly operating household appliance identifier from the household appliance operating message as to-be-calculated operating power;

[0123] a response updating submodule, configured to recalculate a charging pile current signal according to the to-be-calculated operating power.

[0124] The specific limitations of the charging pile power dynamic monitoring device can refer to the limitations of the charging pile power dynamic monitoring method in the foregoing, and will not be described here. Each module in the charging pile power dynamic monitoring device described above can be realized by software, hardware, and a combination thereof, in whole or in part. The above-mentioned modules can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory in the computer device in software form, so that the processor calls and executes the operations corresponding to each of the above modules.

[0125] In one embodiment, a computer device, which can be a server, is provided, and an internal structure diagram of the computer device can be as shown in Figure 7 The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. The processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operating system and the computer program in the non-volatile storage medium to run. The network interface of the computer device is configured to communicate with an external terminal through a network connection. The computer program is executed by the processor to implement a charging pile power dynamic monitoring method.

[0126] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the following steps when executing the computer program:

[0127] monitoring the total power of the household appliances in real time, and calculating the peak power of the household appliances according to the total power of the household appliances;

[0128] obtaining the total power quota, and calculating the maximum available power of the charging pile according to the peak power of the household appliances and the total power quota;

[0129] When the charging pile start message is obtained, the maximum available power of the charging pile is demodulated to obtain a charging pile working current signal;

[0130] The charging pile working current signal is used to respond to the charging pile start message.

[0131] In one embodiment, a computer readable storage medium is provided, and the computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement the following steps:

[0132] monitoring the total power of the household appliances in real time, and calculating the peak power of the household appliances according to the total power of the household appliances;

[0133] obtaining the total power quota, and calculating the maximum available power of the charging pile according to the peak power of the household appliances and the total power quota;

[0134] When the charging pile start message is received, the maximum available power of the charging pile is demodulated to obtain the charging pile operating current signal;

[0135] The charging pile starts up based on the charging pile's operating current signal.

[0136] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0137] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0138] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for dynamic monitoring of the power supply of a charging pile, characterized in that, The method for dynamic power monitoring of charging piles includes: Real-time monitoring of total power consumption of household appliances, and calculation of peak power consumption of household appliances based on the total power consumption of household appliances; Obtain the total power consumption amount, and calculate the maximum available power of the charging pile based on the peak power consumption of the household appliances and the total power consumption amount; When a charging pile start message is received, the maximum available power of the charging pile is demodulated to obtain the charging pile operating current signal; The charging pile starts up in response to the charging pile's operating current signal. The real-time monitoring of total power consumption of household appliances, and the calculation of peak power consumption of household appliances based on the total power consumption of household appliances, specifically includes: Obtain user home status, and from the user home status, obtain current time data and vehicle parking data; The current time data and the vehicle parking data are input into a preset home appliance electricity consumption prediction model to obtain the home appliance usage prediction results; The peak power consumption of home appliances is calculated based on the predicted home appliance usage results and the total power consumption of home appliances. The process of obtaining the total power consumption, specifically calculating the maximum available power of the charging pile based on the peak power consumption of the household appliances and the total power consumption, includes: Obtain the unused appliance identifiers and the operating power of the appliance corresponding to each unused appliance identifier; The unused appliance identifier is input into the appliance power consumption prediction model to obtain the appliance usage probability. The power reservation threshold is calculated based on the appliance usage probability and the appliance operating power. The maximum available power of the charging pile is calculated based on the power reserve threshold, the peak power consumption of the household appliances, and the total power consumption.

2. The method for dynamic monitoring of charging pile power according to claim 1, characterized in that, Before inputting the current time data and the vehicle parking data into a preset household appliance power consumption prediction model to obtain the household appliance usage prediction result, the charging pile power dynamic monitoring method includes: Obtain historical household electricity consumption data for each time period, and vehicle parking data corresponding to each historical household electricity consumption data; By associating the historical household electricity consumption data for each time period with the corresponding vehicle parking data, a model training set is obtained. The initial model is trained using the model training set in the order of time periods to obtain the household appliance electricity consumption prediction model.

3. The method for dynamic monitoring of charging pile power according to claim 1, characterized in that, The step of responding to the charging pile start message based on the charging pile operating current signal specifically includes: When the appliance operation message corresponding to the unused appliance identifier is obtained, the new operating appliance identifier and the appliance operation power corresponding to the new operating appliance identifier are obtained from the appliance operation message as the operation power to be calculated; The charging pile current signal is recalculated based on the operating power to be calculated.

4. A charging pile power dynamic monitoring device, characterized in that, The charging pile power dynamic monitoring device includes: The peak power calculation module is used to monitor the total power consumption of home appliances in real time and calculate the peak power consumption of home appliances based on the total power consumption of home appliances; The power calculation module is used to obtain the total power consumption and calculate the maximum available power of the charging pile based on the peak power consumption of the household appliances and the total power consumption. The data demodulation module is used to demodulate the maximum available power of the charging pile when a charging pile start message is received, and obtain the charging pile operating current signal. The charging response module is used to respond to the charging pile start message based on the charging pile's operating current signal; The peak calculation module includes: The situation data acquisition submodule is used to acquire the user's home situation, and to acquire current time data and vehicle parking data from the user's home situation; The model prediction submodule is used to input the current time data and the vehicle parking data into a preset home appliance electricity consumption prediction model to obtain the home appliance usage prediction results. The peak calculation submodule is used to calculate the peak power consumption of the home appliances based on the predicted home appliance usage results and the total power consumption of the home appliances. The process of obtaining the total power consumption, specifically calculating the maximum available power of the charging pile based on the peak power consumption of the household appliances and the total power consumption, includes: Obtain the unused appliance identifiers and the operating power of the appliance corresponding to each unused appliance identifier; The unused appliance identifier is input into the appliance power consumption prediction model to obtain the appliance usage probability. The power reservation threshold is calculated based on the appliance usage probability and the appliance operating power. The maximum available power of the charging pile is calculated based on the power reserve threshold, the peak power consumption of the household appliances, and the total power consumption.

5. The charging pile power dynamic monitoring device according to claim 4, characterized in that, The charging pile power dynamic monitoring device also includes: The historical data acquisition module is used to acquire historical household electricity consumption data for each time period, as well as vehicle parking data corresponding to each historical household electricity consumption data. The training set acquisition module is used to associate the historical household electricity data and the corresponding vehicle parking data for each time period to obtain the model training set; The model training module is used to train the initial model with the model training set in the order of time periods to obtain the household appliance electricity consumption prediction model.

6. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the charging pile power dynamic monitoring method as described in any one of claims 1 to 3.

7. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the charging pile power dynamic monitoring method as described in any one of claims 1 to 3.

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