Electric power information display method and device applied to electric power area and medium

Abstract

The embodiment of the invention discloses an electric power information display method and device applied to an electric power area and a medium. A specific embodiment of the method comprises the following steps: acquiring at least one historical regional power distribution diagram corresponding to an optimized regional power distribution diagram from a historical regional power distribution diagram set, wherein the time interval of the historical regional power distribution diagram is less than a preset duration; inputting the at least one historical region power distribution diagram and the optimized region power distribution diagram into a pre-trained power distribution change information generation model to obtain power distribution change information; determining power distribution difference information between the historical global region power distribution change information and the power distribution change information; and generating real-time regional power distribution change information corresponding to the historical global regional power distribution change information according to the power distribution difference information and the updated regional power distribution graph set. According to the embodiment, the feature information in the real-time electric power information set can be fully utilized, and the real-time electric power distribution diagram can be accurately generated.

Description

Technical Field

[0001] Embodiments of the present disclosure relate to the computer field, and in particular to a method, device, and medium for displaying power information applied to a power area. Background Art

[0002] At present, the power distribution map can effectively display the power usage of each region, and also effectively display the prosperity of the region and effectively monitor the power. For the display of star map, the usual method is: according to the power consumption of the region, use image drawing software to draw the power consumption distribution map for display.

[0003] However, when using the above method to display starlight maps, the following technical problems often occur: Using image drawing software, the information generated for the power distribution map is not accurate enough and is inefficient.

[0004] The above information disclosed in this Background section is only for enhancement of understanding of the background of the inventive concept and therefore it may contain information that does not form the prior art that is already known in this country to a person of ordinary skill in the art. Summary of the invention

[0005] The content of this disclosure is used to introduce concepts in a brief form, which will be described in detail in the detailed implementation section below. The content of this disclosure is not intended to identify the key features or essential features of the technical solution claimed for protection, nor is it intended to limit the scope of the technical solution claimed for protection.

[0006] Some embodiments of the present disclosure propose a method, device, electronic device and computer-readable medium for displaying power information in a power area to solve one or more of the technical problems mentioned in the above background technology section.

[0007] In a first aspect, some embodiments of the present disclosure provide a method for displaying electric power information applied to an electric power area, the method comprising: obtaining a real-time electric power information set of a target electric power area, wherein the real-time electric power information in the real-time electric power information set comprises: the location of the electric power area and the electric power consumption information of the equipment; generating a corresponding regional electric power distribution map according to the real-time electric power information set through a pre-trained regional electric power distribution map generation model; optimizing the regional electric power distribution map to obtain an optimized regional electric power distribution map; adding the optimized regional electric power distribution map to a pre-stored historical regional electric power distribution map set to obtain an updated regional electric power distribution map set; obtaining historical global regional electric power distribution change information corresponding to the historical regional electric power distribution map set; Obtain at least one historical regional power distribution map whose time interval corresponding to the above-mentioned optimized regional power distribution map is less than a preset time length from the above-mentioned historical regional power distribution map set; input the above-mentioned at least one historical regional power distribution map and the above-mentioned optimized regional power distribution map into a pre-trained power distribution change information generation model to obtain power distribution change information; determine the power distribution difference information between the above-mentioned historical global regional power distribution change information and the above-mentioned power distribution change information; generate real-time regional power distribution change information corresponding to the above-mentioned historical global regional power distribution change information based on the above-mentioned power distribution difference information and the above-mentioned updated regional power distribution map set, and display the above-mentioned real-time regional power distribution change information in an associated display terminal.

[0008] In a second aspect, some embodiments of the present disclosure provide a power information display device applied to a power area, the device comprising: a first acquisition unit, configured to acquire a real-time power information set of a target power area, wherein the real-time power information in the above-mentioned real-time power information set includes: power area location, equipment power consumption information; a first generation unit, configured to generate a corresponding regional power distribution map according to the above-mentioned real-time power information set through a pre-trained regional power distribution map generation model; an optimization unit, configured to optimize the above-mentioned regional power distribution map to obtain an optimized regional power distribution map; an adding unit, configured to add the above-mentioned optimized regional power distribution map to a pre-stored historical regional power distribution map set to obtain an updated regional power distribution map set; a second acquisition unit, configured to acquire a historical global regional power distribution map corresponding to the above-mentioned historical regional power distribution map set. change information; a third acquisition unit, configured to acquire at least one historical regional power distribution map whose time interval corresponding to the above-mentioned optimized regional power distribution map is less than a preset time length from the above-mentioned historical regional power distribution map set; an input unit, configured to input the above-mentioned at least one historical regional power distribution map and the above-mentioned optimized regional power distribution map into a pre-trained power distribution change information generation model to obtain power distribution change information; a determination unit, configured to determine the power distribution difference information between the above-mentioned historical global regional power distribution change information and the above-mentioned power distribution change information; a second generation unit, configured to generate real-time regional power distribution change information corresponding to the above-mentioned historical global regional power distribution change information according to the above-mentioned power distribution difference information and the above-mentioned updated regional power distribution map set, and display the above-mentioned real-time regional power distribution change information in an associated display terminal.

[0009] In a third aspect, some embodiments of the present disclosure provide an electronic device comprising: one or more processors; a storage device on which one or more programs are stored, and when the one or more programs are executed by the one or more processors, the one or more processors implement the method described in any implementation manner of the above-mentioned first aspect.

[0010] In a fourth aspect, some embodiments of the present disclosure provide a computer-readable medium having a computer program stored thereon, wherein when the program is executed by a processor, the method described in any implementation manner of the above-mentioned first aspect is implemented.

[0011] The above-mentioned embodiments of the present disclosure have the following beneficial effects: through the power information display method applied to the power area of ​​some embodiments of the present disclosure, the generation of the power distribution map can be accurately realized, the interactive effect of the display of the power distribution map is improved, and the power display effect of the target power area is improved. First, the real-time power information set of the target power area is obtained, wherein the real-time power information in the above-mentioned real-time power information set includes: the location of the power area and the power consumption information of the equipment. Secondly, according to the above-mentioned real-time power information set, the corresponding regional power distribution map is generated by the pre-trained regional power distribution map generation model. Then, the above-mentioned regional power distribution map is optimized to obtain an optimized regional power distribution map; the above-mentioned optimized regional power distribution map is added to the pre-stored historical regional power distribution map set to obtain an updated regional power distribution map set. Then, the historical global regional power distribution change information corresponding to the above-mentioned historical regional power distribution map set is obtained; at least one historical regional power distribution map corresponding to the above-mentioned optimized regional power distribution map is obtained from the above-mentioned historical regional power distribution map set, and the time interval is less than the preset time length. Afterwards, the at least one historical regional power distribution map and the optimized regional power distribution map are input into a pre-trained power distribution change information generation model to obtain power distribution change information; and the power distribution difference information between the historical global regional power distribution change information and the power distribution change information is determined. Finally, based on the power distribution difference information and the updated regional power distribution map set, real-time regional power distribution change information corresponding to the historical global regional power distribution change information is generated, and the real-time regional power distribution change information is displayed in an associated display terminal. Therefore, by utilizing the power distribution change information generation model, the feature information in the real-time power information set can be fully utilized to accurately generate a real-time power distribution map. The power display effect of the target power area is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the accompanying drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and that components and elements are not necessarily drawn to scale.

[0013] Figure 1 is a flow chart of some embodiments of a method for displaying power information applied to a power area according to the present disclosure; Figure 2 is a schematic structural diagram of some embodiments of a power information display device applied to a power area according to the present disclosure; Figure 3 It is a schematic diagram of the structure of an electronic device suitable for implementing some embodiments of the present disclosure. DETAILED DESCRIPTION

[0014] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments set forth herein. On the contrary, these embodiments are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.

[0015] It should also be noted that, for ease of description, only the parts related to the invention are shown in the drawings. In the absence of conflict, the embodiments and features in the embodiments of the present disclosure can be combined with each other.

[0016] It should be noted that the concepts such as "first" and "second" mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0017] It should be noted that the modifications of "one" and "plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0018] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only used for illustrative purposes and are not used to limit the scope of these messages or information.

[0019] The present disclosure will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

[0020] Figure 1 The flowchart of some embodiments of the method for displaying power information applied to a power area according to the present disclosure is shown. The method for displaying power information applied to a power area according to some embodiments of the present disclosure is shown. The method for displaying power information applied to a power area includes the following steps: Step 101, obtaining a real-time power information set of a target power area.

[0021] In some embodiments, the execution subject (e.g., a computing device) of the power information display method applied to the power area can obtain a real-time power information set of the target power area. Among them, the real-time power information in the above-mentioned real-time power information set includes: power area location, equipment power consumption information. Among them, the target power area may be an area to be tested for power distribution effect. For example, the target power area may include areas of various power areas. The power distribution effect may be a power usage effect. The real-time power information set may be a power information set obtained in real time. Each real-time power information exists in a sub-area (power area) in the corresponding target power area. The real-time power information is the power usage information of each power device in the sub-area. The equipment power consumption information includes: power voltage, current, and power usage. The power area location may be the regional coordinate range of the sub-area corresponding to the real-time power information. The power voltage may be the regional power voltage of the sub-area corresponding to the real-time power information. The power current may be the regional power current of the sub-area corresponding to the real-time power information. The power usage may be the regional total power of the sub-area corresponding to the real-time power information.

[0022] Step 102: Generate a corresponding regional power distribution map based on the above real-time power information set using a pre-trained regional power distribution map generation model.

[0023] In some embodiments, the above-mentioned execution subject can generate a corresponding regional power distribution map according to the above-mentioned real-time power information set through a pre-trained regional power distribution map generation model. For example, the regional power distribution map generation model can be a pre-trained generative adversarial neural network model that takes the real-time power information set as input and the regional power distribution map as output. For example, the regional power distribution map generation model may include: a generative network set and an adversarial network. The generative network set includes: a plurality of generative networks with different network structures. For example, the generative network set may include: convolutional layers with different numbers of layers connected in series, and residual layers with different numbers of layers connected in series.

[0024] In practice, the above-mentioned execution entity can generate the corresponding regional power distribution map through the following steps: In the first step, data standardization is performed on each piece of real-time power information in the real-time power information set to generate a standard real-time power information set. The standardization process may include: information supplementation, information replacement, and outlier deletion.

[0025] In the second step, the standard real-time power information set is input into each generative network in the generative network set included in the regional power distribution map generation model to generate an initial regional power distribution map and obtain an initial regional power distribution map set.

[0026] In the third step, each initial regional power distribution map in the above initial regional power distribution map set is input into the adversarial network to generate power distribution map authenticity information and power distribution map probability information, and obtain a power distribution map authenticity information set and a power distribution map probability information set. The power distribution map authenticity information can be information that characterizes whether the generated regional power distribution map is authentic. The power distribution map probability information can characterize the authenticity of the power distribution map authenticity information.

[0027] The fourth step is to select power distribution map authenticity information that indicates that the generated regional power distribution map is authentic information from the power distribution map authenticity information set, and obtain at least one power distribution map authenticity information.

[0028] Step 5: Select the power distribution map probability information with the largest corresponding probability value from at least one power distribution map probability information as the target power distribution map probability information. Wherein, one power distribution map probability information corresponds to one power distribution map authenticity information.

[0029] In the sixth step, the initial regional power distribution map corresponding to the target power distribution map probability information is determined as the regional power distribution map.

[0030] Therefore, by designing the generative network set and adversarial network form included in the above-mentioned regional power distribution map generation model, a real-time power distribution map can be accurately generated based on the data of the real-time power information set.

[0031] Step 103, optimizing the regional power distribution map to obtain an optimized regional power distribution map.

[0032] In some embodiments, the execution subject may optimize the regional power distribution map to obtain an optimized regional power distribution map. For example, the regional power distribution map may be image enhanced to obtain an enhanced regional power distribution map. Afterwards, the enhanced regional power distribution map may be denoised to obtain a denoised regional power distribution map as the optimized regional power distribution map.

[0033] Step 104: Add the above-mentioned optimized regional power distribution map to the pre-stored historical regional power distribution map set to obtain an updated regional power distribution map set.

[0034] In some embodiments, the execution entity may add the optimized regional power distribution map to a pre-stored historical regional power distribution map set to obtain an updated regional power distribution map set. The historical regional power distribution map in the historical regional power distribution map set may be a regional power distribution map generated at a historical time.

[0035] Step 105, obtaining the historical global regional power distribution change information corresponding to the above historical regional power distribution atlas.

[0036] In some embodiments, the above-mentioned execution subject may obtain the historical global regional power distribution change information corresponding to the above-mentioned historical regional power distribution atlas. Among them, the historical global regional power distribution change information may characterize the overall power distribution change of each historical regional power distribution map in the historical regional power distribution atlas. The historical global regional power distribution change information may include: historical power distribution brightness change information and historical power distribution position change information. The historical power distribution brightness change information may characterize the change of power distribution brightness in the historical time period. The historical power distribution position change information may characterize the change of power distribution position in the historical time period.

[0037] Step 106: acquiring, from the historical regional power distribution map set, at least one historical regional power distribution map corresponding to the optimized regional power distribution map and having a time interval shorter than a preset time length.

[0038] In some embodiments, the execution subject may obtain at least one historical regional power distribution map whose time interval corresponding to the optimized regional power distribution map is less than a preset time length from the historical regional power distribution map set. The preset time length may be a pre-set time length. For example, the preset time length may be 5 days. The historical regional power distribution map in the historical regional power distribution map set has a corresponding historical time.

[0039] Step 107: input the at least one historical regional power distribution map and the optimized regional power distribution map into a pre-trained power distribution change information generation model to obtain power distribution change information.

[0040] In some embodiments, the execution entity may input the at least one historical regional power distribution map and the optimized regional power distribution map into a pre-trained power distribution change information generation model to obtain power distribution change information. The power distribution change information generation model may be a convolutional neural network model + a time series neural network model. The power distribution change information may include: power distribution brightness change information and power distribution position change information. The power distribution brightness change information may characterize the change in power distribution brightness. The power distribution position change information may characterize the change in power distribution position.

[0041] In practice, the execution subject may input the at least one historical regional power distribution map and the optimized regional power distribution map into a pre-trained power distribution change information generation model through the following steps: In the first step, for each historical regional power distribution map in the at least one historical regional power distribution map, each pixel in the historical regional power distribution map is replaced with the corresponding power usage intensity information to obtain a historical power usage intensity matrix. The power usage intensity information represents the numerical value of the power usage intensity of the area corresponding to the pixel, and each pixel has corresponding power usage intensity information. For example, the power usage intensity information may be: value 1, value 2, value 3. The power usage intensity represented by value 1 is greater than the power usage intensity represented by value 2. The power usage intensity represented by value 2 is greater than the power usage intensity represented by value 3. There is a corresponding pixel interval for value 1. There is a corresponding pixel interval for value 2. There is a corresponding pixel interval for value 3.

[0042] In the second step, each pixel in the above-mentioned optimized area power distribution map is replaced with the corresponding power usage intensity information to obtain the optimized power usage intensity matrix.

[0043] The third step is to combine each historical power usage intensity matrix with the above-mentioned optimized power usage intensity matrix in chronological order to generate a power usage intensity matrix sequence, wherein the chronological order may be the generation time corresponding to the power distribution diagram.

[0044] The fourth step is to combine the at least one historical regional power distribution map and the optimized regional power distribution map in chronological order to generate a power distribution map sequence.

[0045] In the fifth step, each power usage intensity matrix in the power usage intensity matrix sequence is matrix-enhanced to generate an enhanced power usage intensity matrix and obtain an enhanced power usage intensity matrix sequence. The matrix dimension corresponding to the enhanced power usage intensity matrix is ​​a preset multiple of the matrix dimension corresponding to the power usage intensity matrix. For example, each power usage intensity matrix in the power usage intensity matrix sequence can be matrix-gradient expanded to generate an enhanced power usage intensity matrix and obtain an enhanced power usage intensity matrix sequence.

[0046] In the sixth step, the enhanced power usage intensity matrix sequence is input into the power usage intensity matrix change information generation network included in the power distribution change information generation model to generate power usage intensity matrix change information. The power usage intensity matrix change information generation network may be a neural network model for generating matrix change information. For example, the power usage intensity matrix change information generation network may be a Transformer model. The power usage intensity matrix change information may characterize the matrix element changes and matrix element change ranges of the enhanced power usage intensity matrix in the enhanced power usage intensity matrix sequence.

[0047] In the seventh step, according to the above-mentioned power usage intensity matrix change information, each power distribution map in the above-mentioned power distribution map sequence is input into the feature extraction network based on the attention mechanism included in the above-mentioned power distribution change information generation model to generate power distribution map feature information and obtain a power distribution map feature information sequence. Among them, the feature extraction network based on the attention mechanism can be a convolutional neural network model with multiple layers connected in series (that is, a network model with attention feature extraction constituted by a convolutional neural network model with multiple layers connected in series). During the convolution process, the feature extraction network based on the attention mechanism will perform high-weight convolution on the matrix element change range corresponding to the matrix change information, so as to especially convolve the pixel information in the power distribution map with the matrix element change range corresponding to the matrix change information, so as to generate the power distribution map feature information.

[0048] In the eighth step, according to the power usage intensity matrix change information, each power usage intensity matrix in the power usage intensity matrix sequence is matrix-cut to generate a cut intensity matrix and obtain a cut intensity matrix sequence. For example, the execution subject may perform matrix cutting on each power usage intensity matrix in the power usage intensity matrix sequence according to the matrix element change range corresponding to the power usage intensity matrix change information to generate a cut intensity matrix and obtain a cut intensity matrix sequence.

[0049] In the ninth step, each of the intercepted intensity matrices in the above-mentioned intercepted intensity matrix sequence is input into the matrix feature extraction network included in the above-mentioned power distribution change information generation model to generate intensity matrix feature information and obtain an intensity matrix feature information sequence. The matrix feature extraction network can be a multi-layer series convolutional neural network model. The intensity matrix feature information can characterize the matrix semantic features of the clipped matrix.

[0050] In the tenth step, the intensity matrix feature information in the intensity matrix feature information sequence and the corresponding power distribution map feature information in the power distribution map feature information sequence are spliced ​​to generate spliced ​​feature information and obtain a spliced ​​feature information sequence. For example, the execution subject may splice the intensity matrix feature information in the intensity matrix feature information sequence and the power distribution map feature information of the same power distribution map in the power distribution map feature information sequence to generate spliced ​​feature information and obtain a spliced ​​feature information sequence.

[0051] In the eleventh step, the above-mentioned concatenated feature information sequence is input into the power distribution change time series model included in the above-mentioned power distribution change information generation model to obtain the power distribution change information. The power distribution change time series model can be a multi-layer series recurrent neural network model.

[0052] Step 108: Determine power distribution difference information between the above historical global regional power distribution change information and the above power distribution change information.

[0053] In some embodiments, the execution subject may determine the power distribution difference information between the historical global area power distribution change information and the power distribution change information. The power distribution difference information may include: first difference sub-information between the historical power distribution brightness change information and the power distribution brightness change information, and second difference sub-information between the historical power distribution position change information and the power distribution position change information.

[0054] Step 109, generating real-time regional power distribution change information corresponding to the historical global regional power distribution change information based on the power distribution difference information and the updated regional power distribution atlas, and displaying the real-time regional power distribution change information in an associated display terminal.

[0055] In some embodiments, the execution subject may generate real-time regional power distribution change information corresponding to the historical global regional power distribution change information based on the power distribution difference information and the updated regional power distribution atlas, and display the real-time regional power distribution change information in an associated display terminal. The associated display terminal may be a display with a display function that is communicatively connected to the execution subject.

[0056] In practice, the above-mentioned execution subject can generate the real-time regional power distribution change information corresponding to the above-mentioned historical global regional power distribution change information through the following steps: The first step is to determine the power change area information group corresponding to the above-mentioned power distribution difference information. Among them, the power change area information group includes: at least one change area information corresponding to the first difference sub-information and at least one change area information corresponding to the second difference sub-information. The first difference sub-information is the difference information between the historical power distribution brightness change information and the power distribution brightness change information. The second difference sub-information is the difference information between the historical power distribution position change information and the power distribution position change information. The power change area information in the power change area information group can be the area information where the power distribution brightness change or the power distribution position change occurs. For example, the power change area information can be the area range information of the power change area.

[0057] In the second step, according to the power change area information group, each update area power distribution map in the update area power distribution map set is segmented to generate a power change area map group, and a power change area map group set is obtained. Each power change area map group in the power change area map group set has a corresponding update area power distribution map. For example, the execution subject can perform regional cropping and segmentation on each update area power distribution map in the update area power distribution map set according to the area range information corresponding to the power change area information group, to generate a power change area map group, and obtain a power change area map group set.

[0058] The third step is to perform regional combination on each power change area map in the power change area map group set to generate a power change area map set group, wherein each power change area map in each power change area map group has the same area range information.

[0059] Step 4: for each power change area atlas in the power change area atlas group, perform the following processing steps: 1. Input each power change area map in the above power change area map set into a pre-trained change core information recognition model to generate change core information and obtain a change core information set. The change core information recognition model may be a neural network model for generating change core information. For example, the change core information recognition model may be a multi-head classification model. The output of each classification model of the change core information recognition model corresponds to the core power distribution element information.

[0060] Wherein, each power change area map in the power change area map set is input into a pre-trained change core information recognition model to generate change core information, including: First, the power change area map is input into the core power area information extraction network based on the attention mechanism included in the core information recognition model to obtain each core power area information. The core power area information extraction network based on the attention mechanism may include: a convolutional neural network model + a multi-head attention mechanism model.

[0061] Secondly, regional information centered on each core power regional information is divided from the above-mentioned power change regional map to obtain a candidate core power consumption regional information set.

[0062] Next, according to the regional distances between the individual candidate core power area information in the above-mentioned candidate core power area information set, the regional information of the individual candidate core power area information in the above-mentioned candidate core power area information set is merged to obtain the individual core power area information. For example, the above-mentioned execution subject may merge the regional information of at least one candidate core power area information in the above-mentioned candidate core power area information set whose regional distance is less than the third predetermined value to generate core power area information, and obtain the individual core power area information.

[0063] Then, for each core power consumption area information in the above core power consumption area information, the average power consumption brightness of the area corresponding to the core power consumption area information is determined as the core power consumption brightness information.

[0064] Finally, each core power area information, each core power area information and each core power brightness information are merged into the core change information. The core power area information may be the pre-registered object information whose power usage exceeds the first predetermined value. The core power area information may be the pre-registered power area information whose power usage exceeds the second predetermined value. The core power brightness information may be the power brightness change information of the area corresponding to the core power area information.

[0065] 2. Generate power change information between each change core information in the above change core information set as real-time power change sub-information.

[0066] The fifth step is to update the above historical global regional power distribution change information according to each real-time power change sub-information to obtain real-time regional power distribution change information. For example, the above execution subject can replace the corresponding information in the historical global regional power distribution change information with each real-time power change sub-information and real-time regional power distribution change information.

[0067] Optionally, based on the above-mentioned real-time regional power distribution change information, it is determined whether there is sub-region information characterizing power anomaly in the power region.

[0068] In some embodiments, the above-mentioned execution subject can determine whether there is sub-region information that characterizes power anomalies in the power area based on the above-mentioned real-time regional power distribution change information. For example, first, the above-mentioned execution subject can obtain the real-time power planning information corresponding to each sub-region in the above-mentioned target power area to obtain a real-time power planning information set. Then, the above-mentioned real-time power planning information set is compared with the above-mentioned real-time power distribution change information to generate comparison information. Finally, in response to determining that the information gap characterized by the comparison information is less than a preset value, it is determined that there is no sub-region information that characterizes abnormal power usage. In response to determining that the information gap characterized by the comparison information is greater than or equal to a preset value, it is determined that there is sub-region information that characterizes abnormal power usage. The real-time power planning information can represent the pre-set power planning information of the sub-region, and can include: voltage threshold, current threshold, power supply threshold.

[0069] Optionally, in response to determining existence, a power area power usage information set corresponding to the above sub-area information is obtained.

[0070] In some embodiments, the execution subject may obtain the power area power usage information set corresponding to the sub-area information in response to determining the existence. For example, in response to determining the existence of sub-area information representing abnormal power usage, the power area power usage information set corresponding to the sub-area information is obtained from the power usage information set.

[0071] Optionally, information verification is performed on the above-mentioned power area power consumption information set to generate power verification information.

[0072] In some embodiments, the execution subject may perform information verification on the power area power usage information set to generate power verification information. For example, the power area power usage information set may be verified for rationality and data authenticity to generate power verification information.

[0073] Optionally, in response to determining that the power verification information indicates that there is abnormal power usage information in the power area, abnormal power usage information in the power area is generated.

[0074] In some embodiments, the execution subject may generate abnormal power usage information in the power area in response to determining that the power verification information indicates abnormal power usage information in the power area, wherein the abnormal power usage information in the power area may be unreasonable power usage information in the power area.

[0075] Optionally, power adjustment information is generated based on the above-mentioned power area power consumption abnormality information.

[0076] In some embodiments, the execution subject may generate power adjustment information based on the abnormal power consumption information of the power area. For example, the execution subject may generate power adjustment information based on the abnormal power consumption information of the power area using a correlation table between the abnormal power consumption information of the power area and the power adjustment information. The correlation table may represent the correlation between the abnormal cause and the power adjustment information.

[0077] Optionally, according to the power adjustment information, power supply is adjusted for the sub-area corresponding to the sub-area information.

[0078] In some embodiments, the execution entity may adjust the power supply to the sub-area corresponding to the sub-area information according to the power adjustment information.

[0079] Optionally, in response to determining that it does not exist, a first future power distribution map sequence for a preset future time period is generated based on the above-mentioned real-time regional power distribution change information and the historical power distribution change information sequence.

[0080] In some embodiments, the execution subject may generate a first future power distribution map sequence for a preset future time period according to the real-time regional power distribution change information and the historical power distribution change information sequence in response to determining that the information does not exist. For example, a time series neural network model (e.g., LSTM model) may be used to generate a first future power distribution map sequence for a preset future time period.

[0081] Optionally, a first core event information set within the above-mentioned preset future time period is obtained.

[0082] In some embodiments, the above-mentioned execution entity can obtain the first core event information set within the above-mentioned preset future time period. Among them, the preset future time period can be a predetermined time period for the power distribution map prediction to be performed. The first core event information in the first core event information set can be event information of core events to be performed in the target power area within the preset future time period. It should be noted that the power required for the event corresponding to the first core event information needs to be pre-configured. The first core event information can be event information that characterizes the formal launch of the target power equipment within the preset future time period.

[0083] Optionally, first power demand information and first power usage time information corresponding to each first core event information in the first core event information set are generated to obtain a first power demand information set and a first power usage time information set.

[0084] In some embodiments, the execution subject may generate the first power demand information and the first power time information corresponding to each first core event information in the first core event information set, and obtain the first power demand information set and the first power time information set. The first power demand information may be a power demand amount predetermined corresponding to the first core event information. The first power time information may be a power time predetermined corresponding to the first core event information.

[0085] Optionally, according to the first power demand information set and the first power consumption time information set, power distribution adjustment is performed on each first future power distribution graph in the first future power distribution graph sequence to obtain a first adjusted power distribution graph sequence.

[0086] In some embodiments, the execution subject may adjust the power distribution of each first future power distribution map in the first future power distribution map sequence according to the first power demand information set and the first power time information set to obtain a first adjusted power distribution map sequence. For example, first, the power demand in the first power demand information is quantified to generate power demand data. Then, the first power time information and the power demand data are data-fused to generate fused data. Next, in response to determining that the demand corresponding to the power demand data is greater than the target demand, a first adjusted power distribution map sequence is generated using a time series neural network model according to the real-time power distribution change information, the historical power distribution change information sequence and the fused data. In response to determining that the demand corresponding to the power demand data is less than or equal to the target demand, the first future power distribution map sequence is determined as the first adjusted power distribution map sequence.

[0087] Optionally, according to the first adjusted power distribution diagram sequence, power equipment scheduling and power supply adjustment are performed on the target power area.

[0088] In some embodiments, the execution subject may perform power equipment scheduling and power supply adjustment for the target power area according to the first adjustment power distribution diagram sequence. The power equipment scheduling may be the equipment scheduling of each power equipment. The power supply adjustment may be the adjustment of power generation and power output.

[0089] Optionally, according to the power adjustment information, the power distribution of the optimized area power distribution map is adjusted to generate an adjusted area power distribution map.

[0090] In some embodiments, the execution subject may adjust the power distribution of the optimized area power distribution map according to the power adjustment information to generate an adjusted area power distribution map. For example, the execution subject may adjust the power distribution of the optimized area power distribution map according to the adjustment process corresponding to the power adjustment information to generate an adjusted area power distribution map.

[0091] Optionally, real-time regional power distribution change information corresponding to the above-mentioned adjusted regional power distribution map is generated as target real-time regional power distribution change information.

[0092] In some embodiments, the execution subject may generate the real-time regional power distribution change information corresponding to the adjusted regional power distribution map as the target real-time regional power distribution change information, wherein the target real-time regional power distribution change information may represent the transformation of each power distribution element in the modified adjusted regional power distribution map.

[0093] Optionally, a second future power distribution map sequence corresponding to a preset future time period is generated according to the above-mentioned target real-time regional power distribution change information and the historical power distribution change information sequence.

[0094] In some embodiments, the execution subject may generate a second future power distribution diagram sequence corresponding to a preset future time period according to the target real-time regional power distribution change information and the historical power distribution change information sequence. The future time in each future time in the preset future time period corresponds to the second future power distribution diagram in the second future power distribution diagram sequence. For example, the execution subject may generate a second future power distribution diagram sequence corresponding to a preset future time period using a time series neural network model.

[0095] Optionally, a second core event information set within the above-mentioned preset future time period is obtained.

[0096] In some embodiments, the execution subject may obtain the second core event information set within the preset future time period. The second core event information in the second core event information set may be event information of a core event to be performed in the target power area within the preset future time period. The power required for the event corresponding to the second core event information needs to be pre-configured.

[0097] Optionally, second power demand information and second power usage time information corresponding to each second core event information in the second core event information set are generated to obtain a second power demand information set and a second power usage time information set.

[0098] In some embodiments, the execution subject may generate the second power demand information and the second power time information corresponding to each second core event information in the second core event information set to obtain the second power demand information set and the second power time information set. The specific implementation method and explanation are not repeated here, please refer to the explanation of the first power demand information and the first power time information.

[0099] Optionally, according to the second power demand information set and the second power usage time information set, power distribution adjustment is performed on each second future power distribution graph in the second future power distribution graph sequence to obtain a second adjusted power distribution graph sequence.

[0100] In some embodiments, the execution subject may adjust the power distribution of each second future power distribution diagram in the second future power distribution diagram sequence according to the second power demand information set and the second power consumption time information set to obtain a second adjusted power distribution diagram sequence. See the method for generating the first adjusted power distribution diagram sequence.

[0101] Optionally, according to the second adjusted power distribution diagram sequence, power equipment scheduling and power supply adjustment are performed on the target power area.

[0102] In some embodiments, the execution entity may perform power equipment scheduling and power supply adjustment for the target power area according to the second adjustment power distribution diagram sequence.

[0103] Further references Figure 2 As an implementation of the methods shown in the above figures, the present disclosure provides some embodiments of a power information display device applied to a power area. These embodiments of the power information display device applied to a power area are similar to Figure 1 Corresponding to the method embodiments shown, the power information display device applied to the power area can be specifically applied to various electronic devices.

[0104] like Figure 2As shown, some embodiments of the power information display device 200 applied to the power area include: a first acquisition unit 201, a first generation unit 202, an optimization unit 203, an adding unit 204, a second acquisition unit 205, a third acquisition unit 206, an input unit 207, a determination unit 208 and a second generation unit 209. Among them, the first acquisition unit 201 is configured to acquire a real-time power information set of a target power area, wherein the real-time power information in the above-mentioned real-time power information set includes: power area location, equipment power consumption information; the first generation unit 202 is configured to generate a corresponding regional power distribution map according to the above-mentioned real-time power information set through a pre-trained regional power distribution map generation model; the optimization unit 203 is configured to optimize the above-mentioned regional power distribution map to obtain an optimized regional power distribution map; the adding unit 204 is configured to add the above-mentioned optimized regional power distribution map to a pre-stored historical regional power distribution map set to obtain an updated regional power distribution map set; the second acquisition unit 205 is configured to acquire the historical global regional power distribution change information corresponding to the above-mentioned historical regional power distribution map set; the third acquisition unit 206 is configured to generate a regional power distribution map according to the above-mentioned real-time power information set ... optimization unit 203 is configured to optimize the above-mentioned regional power distribution map to obtain an optimized regional power distribution map; the optimization unit 203 is configured to optimize the above-mentioned regional power distribution map to obtain an optimized regional power distribution map; the optimization unit 203 is configured to optimize the above-mentioned regional power distribution map to obtain an optimized regional power distribution map; the optimization unit 203 is configured to optimize the above-mentioned regional power distribution map to obtain an optimized regional power distribution map; the optimization unit 2 The invention is configured to obtain at least one historical regional power distribution map whose time interval corresponding to the above-mentioned optimized regional power distribution map is less than a preset time length from the above-mentioned historical regional power distribution map set; the input unit 207 is configured to input the above-mentioned at least one historical regional power distribution map and the above-mentioned optimized regional power distribution map into a pre-trained power distribution change information generation model to obtain power distribution change information; the determination unit 208 is configured to determine the power distribution difference information between the above-mentioned historical global regional power distribution change information and the above-mentioned power distribution change information; the second generation unit 209 is configured to generate real-time regional power distribution change information corresponding to the above-mentioned historical global regional power distribution change information according to the above-mentioned power distribution difference information and the above-mentioned updated regional power distribution map set, and display the above-mentioned real-time regional power distribution change information in an associated display terminal.

[0105] It can be understood that the units described in the power information display device 200 applied to the power area are similar to those described in the reference Figure 1 Therefore, the operations, features and beneficial effects described above for the method are also applicable to the power information display device 200 applied to the power area and the units contained therein, and will not be repeated here.

[0106] Reference below Figure 3, which shows a schematic diagram of the structure of an electronic device 300 (e.g., a computing device) suitable for implementing some embodiments of the present disclosure. The electronic devices in some embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 3 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0107] like Figure 3 As shown, the electronic device 300 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 301, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 302 or a program loaded from a storage device 308 to a random access memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the electronic device 300 are also stored. The processing device 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0108] Typically, the following devices may be connected to the I / O interface 305: an input device 306 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 307 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 308 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 309. The communication device 309 may allow the electronic device 300 to communicate with other devices wirelessly or by wire to exchange data. Figure 3 The electronic device 300 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead. Figure 3 Each block shown in the figure may represent one device, or may represent multiple devices as required.

[0109] In particular, according to some embodiments of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, some embodiments of the present disclosure include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In some such embodiments, the computer program can be downloaded and installed from the network through the communication device 309, or installed from the storage device 308, or installed from the ROM 302. When the computer program is executed by the processing device 301, the above-mentioned functions defined in the method of some embodiments of the present disclosure are executed.

[0110] It should be noted that the computer-readable medium recorded in some embodiments of the present disclosure may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In some embodiments of the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, device or device. In some embodiments of the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer readable signal media may also be any computer readable medium other than computer readable storage media, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0111] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (HyperText Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0112] The above-mentioned computer-readable medium may be included in the above-mentioned electronic device; or it may exist independently without being assembled into the electronic device. The above-mentioned computer-readable medium carries one or more programs. When the above-mentioned one or more programs are executed by the electronic device, the electronic device: obtains a real-time power information set of the target power area, wherein the real-time power information in the above-mentioned real-time power information set includes: power area location, equipment power consumption information; generates a corresponding regional power distribution map based on the above-mentioned real-time power information set through a pre-trained regional power distribution map generation model; optimizes the above-mentioned regional power distribution map to obtain an optimized regional power distribution map; adds the above-mentioned optimized regional power distribution map to a pre-stored historical regional power distribution map set to obtain an updated regional power distribution map set; obtains the historical global regional power distribution changes corresponding to the above-mentioned historical regional power distribution map set. information; obtaining at least one historical regional power distribution map corresponding to the above-mentioned optimized regional power distribution map and having a time interval less than a preset time length from the above-mentioned historical regional power distribution map set; inputting the above-mentioned at least one historical regional power distribution map and the above-mentioned optimized regional power distribution map into a pre-trained power distribution change information generation model to obtain power distribution change information; determining power distribution difference information between the above-mentioned historical global regional power distribution change information and the above-mentioned power distribution change information; generating real-time regional power distribution change information corresponding to the above-mentioned historical global regional power distribution change information according to the above-mentioned power distribution difference information and the above-mentioned updated regional power distribution map set, and displaying the above-mentioned real-time regional power distribution change information in an associated display terminal.

[0113] Computer program code for performing the operations of some embodiments of the present disclosure may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0114] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0115] The units described in some embodiments of the present disclosure may be implemented by software or by hardware. The described units may also be set in a processor, for example, may be described as: a processor comprising: a first acquisition unit, a first generation unit, an optimization unit, an addition unit, a second acquisition unit, a third acquisition unit, an input unit, a determination unit, and a second generation unit. Among them, the names of these units do not constitute a limitation on the unit itself under certain circumstances. For example, the adding unit may also be described as "a unit that adds the above-mentioned optimized regional power distribution map to the pre-stored historical regional power distribution map set to obtain an updated regional power distribution map set."

[0116] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0117] The above descriptions are only some preferred embodiments of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present disclosure is not limited to the technical solutions formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the above features are replaced with (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure.

Claims

1. A method for displaying electric power information in an electric power area, comprising: Acquire a real-time power information set of a target power area, wherein the real-time power information in the real-time power information set includes: power area location, equipment power consumption information; According to the real-time power information set, a corresponding regional power distribution map is generated by a pre-trained regional power distribution map generation model; Optimizing the regional power distribution map to obtain an optimized regional power distribution map; Adding the optimized regional power distribution map to a pre-stored historical regional power distribution map set to obtain an updated regional power distribution map set; Obtaining historical global regional power distribution change information corresponding to the historical regional power distribution atlas; Acquire at least one historical regional power distribution map whose time interval corresponding to the optimized regional power distribution map is less than a preset time length from the historical regional power distribution map set; Inputting the at least one historical regional power distribution map and the optimized regional power distribution map into a pre-trained power distribution change information generation model to obtain power distribution change information; determining power distribution difference information between the historical global regional power distribution change information and the power distribution change information; According to the power distribution difference information and the updated regional power distribution atlas, real-time regional power distribution change information corresponding to the historical global regional power distribution change information is generated, and the real-time regional power distribution change information is displayed in an associated display terminal.

2. The method according to claim 1, wherein: The generating, according to the power distribution difference information and the updated regional power distribution atlas, real-time regional power distribution change information corresponding to the historical global regional power distribution change information comprises: Determine a power change area information group corresponding to the power distribution difference information; According to the power change area information group, each update area power distribution map in the update area power distribution map set is segmented to generate a power change area map group, thereby obtaining a power change area map group set; Performing regional combination on each power change area map in the power change area map set to generate a power change area map set group; For each power change area atlas in the power change area atlas group, the following processing steps are performed: Inputting each power change area map in the power change area map set into a pre-trained change core information recognition model to generate change core information, thereby obtaining a change core information set; generating power change information between each change core information in the change core information set as real-time power change sub-information; According to each real-time power change sub-information, the historical global regional power distribution change information is updated to obtain the real-time regional power distribution change information.

3. The method according to claim 2, wherein: The method further comprises: Determining whether there is sub-region information representing power anomaly in the power region based on the real-time regional power distribution change information; In response to determining that the sub-region information exists, obtaining a power area power consumption information set corresponding to the sub-region information; Performing information verification on the power area power consumption information set to generate power verification information; In response to determining that the power verification information indicates that there is abnormal power usage information in the power area, generating abnormal power usage information in the power area; generating power adjustment information according to the abnormal power consumption information of the power area; According to the power adjustment information, power supply is adjusted for the sub-area corresponding to the sub-area information.

4. The method according to claim 3, wherein: The method further comprises: In response to determining that there is no such information, generating a first future power distribution map sequence for a preset future time period according to the real-time regional power distribution change information and the historical power distribution change information sequence; Acquire a first core event information set within the preset future time period; Generate first power demand information and first power usage time information corresponding to each first core event information in the first core event information set to obtain a first power demand information set and a first power usage time information set; According to the first power demand information set and the first power consumption time information set, adjusting power distribution of each first future power distribution map in the first future power distribution map sequence to obtain a first adjusted power distribution map sequence; According to the first adjusted power distribution map sequence, power equipment scheduling and power supply adjustment are performed on the target power area.

5. The method according to claim 3, wherein: The method further comprises: According to the power adjustment information, the power distribution of the optimized area power distribution map is adjusted to generate an adjusted area power distribution map; Generating real-time regional power distribution change information corresponding to the adjusted regional power distribution map as target real-time regional power distribution change information; Generate a second future power distribution map sequence corresponding to a preset future time period according to the target real-time regional power distribution change information and the historical power distribution change information sequence; Acquire a second core event information set within the preset future time period; Generate second power demand information and second power usage time information corresponding to each second core event information in the second core event information set to obtain a second power demand information set and a second power usage time information set; According to the second power demand information set and the second power consumption time information set, adjusting the power distribution of each second future power distribution diagram in the second future power distribution diagram sequence to obtain a second adjusted power distribution diagram sequence; According to the second adjusted power distribution map sequence, power equipment scheduling and power supply adjustment are performed on the target power area.

6. A power information display device used in a power area, comprising: A first acquisition unit is configured to acquire a real-time power information set of a target power area, wherein the real-time power information in the real-time power information set includes: a power area location and equipment power consumption information; A first generating unit is configured to generate a corresponding regional power distribution map according to the real-time power information set by using a pre-trained regional power distribution map generation model; an optimization unit, configured to optimize the regional power distribution map to obtain an optimized regional power distribution map; an adding unit configured to add the optimized regional power distribution map to a pre-stored historical regional power distribution map set to obtain an updated regional power distribution map set; A second acquisition unit is configured to acquire historical global regional power distribution change information corresponding to the historical regional power distribution atlas; A third acquisition unit is configured to acquire, from the historical regional power distribution map set, at least one historical regional power distribution map corresponding to the optimized regional power distribution map and having a time interval less than a preset time length; An input unit configured to input the at least one historical regional power distribution map and the optimized regional power distribution map into a pre-trained power distribution change information generation model to obtain power distribution change information; a determining unit configured to determine power distribution difference information between the historical global area power distribution change information and the power distribution change information; The second generating unit is configured to generate real-time regional power distribution change information corresponding to the historical global regional power distribution change information based on the power distribution difference information and the updated regional power distribution atlas, and display the real-time regional power distribution change information in an associated display terminal.

7. An electronic device comprising: one or more processors; a storage device having one or more programs stored thereon; When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 5.

8. A computer readable medium having a computer program stored thereon, wherein: When the program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.

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