CN116757461B

CN116757461B - Method, device, equipment and medium for displaying updated power grid infrastructure service node information

Info

Publication number: CN116757461B
Application number: CN202311062801.6A
Authority: CN
Inventors: 邵鑫; 胡广林; 李志杰; 李延财; 张昂; 杨运楠
Original assignee: State Grid Information and Telecommunication Co Ltd; Beijing Guodiantong Network Technology Co Ltd
Current assignee: State Grid Information and Telecommunication Co Ltd; Beijing Guodiantong Network Technology Co Ltd
Priority date: 2023-08-23
Filing date: 2023-08-23
Publication date: 2023-11-24
Anticipated expiration: 2043-08-23
Also published as: CN116757461A

Abstract

The embodiment of the invention discloses a method, a device, equipment and a medium for displaying updated grid infrastructure service node information. One embodiment of the method comprises the following steps: acquiring basic information and execution node information of a power grid infrastructure service; determining an interval duration sequence of a power grid infrastructure service node; generating a pre-estimated power grid infrastructure service node time information set; determining estimated power grid infrastructure service node time information corresponding to the execution node identifier as target estimated power grid infrastructure service node time information; generating a node execution type; responding to the fact that the node execution type meets the preset type condition, and carrying out correction processing on the estimated grid infrastructure service node time information set to obtain a corrected grid infrastructure service node time information set; determining a preset power grid infrastructure service node identification sequence, an estimated power grid infrastructure service node time information group and a corrected power grid infrastructure service node time information group as updated power grid infrastructure service node information; and displaying and updating the information of the grid infrastructure service nodes in the grid infrastructure service early warning page. The embodiment can reduce the waste of node resources.

Description

Method, device, equipment and medium for displaying updated power grid infrastructure service node information

Technical Field

The embodiment of the disclosure relates to the technical field of computers, in particular to a method, a device, equipment and a medium for displaying updated grid infrastructure service node information.

Background

In the execution process of the electric power service (for example, the electric power grid infrastructure service), the information of the electric power grid infrastructure service nodes of each execution node of the electric power grid infrastructure service is displayed, so that a user can be helped to intuitively know the execution progress of the electric power grid infrastructure service, and node resources required by each execution node can be conveniently scheduled. At present, when displaying information of a power grid infrastructure service node, the following general method is adopted: and determining the completion date of each subsequent execution node as power grid infrastructure service node information according to the preset completion time required by each execution node according to the power grid infrastructure service start date, and then displaying the determined power grid infrastructure service node information.

However, the inventor finds that when the information of the grid infrastructure service node is displayed in the above manner, the following technical problems often exist:

firstly, in the actual execution process, when the completion date of one execution node changes, the change of the completion date of each subsequent execution node is affected, so that the accuracy of each subsequent completion date determined according to the start date of the power grid infrastructure service is lower, the accuracy of the estimated time of the scheduled node resource is lower, and when the estimated time of the scheduled node resource is earlier than the time of the actual scheduled node resource, the node resource (such as cement and electric wires) is wasted.

Second, the actual completion time length of the same execution node in different periods is also different (for example, when the execution node is project construction for large-scale power grid infrastructure service, the completion time length required in winter is generally longer than the completion time length required in autumn due to the influence of weather), and according to the preset completion time length required by each execution node, the accuracy of determining the completion date of each subsequent execution node is lower, so that the accuracy of estimated time of scheduling node resources is further lower, and when the estimated time of scheduling node resources is earlier than the time of actual scheduling node resources, the waste of node resources is caused.

The above information disclosed in this background section is only for enhancement of understanding of the background of the inventive concept and, therefore, may contain information that does not form the prior art that is already known to those of ordinary skill in the art in this country.

Disclosure of Invention

The disclosure is in part intended to introduce concepts in a simplified form that are further described below in the detailed description. The disclosure is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.

Some embodiments of the present disclosure propose a method, apparatus, electronic device and computer readable medium for updating grid infrastructure service node information display to solve one or more of the technical problems mentioned in the background section above.

In a first aspect, some embodiments of the present disclosure provide a method for updating information display of a grid infrastructure service node, where the method includes: acquiring power grid infrastructure service basic information and execution node information corresponding to the power grid infrastructure service basic information, wherein the power grid infrastructure service basic information comprises a power grid infrastructure service starting date and a power grid infrastructure service type, and the execution node information comprises a completed node information set and an execution node identifier; determining a grid construction service node interval duration sequence corresponding to a preset grid construction service node identification sequence according to the grid construction service type and the grid construction service starting date; generating an estimated grid construction service node time information group corresponding to the preset grid construction service node identification sequence according to the grid construction service start date and the grid construction service node interval duration sequence; determining estimated power grid infrastructure service node time information corresponding to the execution node identification in the estimated power grid infrastructure service node time information group as target estimated power grid infrastructure service node time information; generating node execution types according to the current time and the target estimated grid infrastructure service node time information; responding to the fact that the node execution type meets the preset type condition, and carrying out correction processing on the estimated power grid infrastructure service node time information set according to the completed node information set and the preset power grid infrastructure service node identification sequence to obtain a corrected power grid infrastructure service node time information set; determining the preset power grid infrastructure service node identification sequence, the estimated power grid infrastructure service node time information set and the corrected power grid infrastructure service node time information set as updated power grid infrastructure service node information; and displaying the updated grid infrastructure service node information in a grid infrastructure service early warning page.

In a second aspect, some embodiments of the present disclosure provide an updated grid infrastructure service node information display device, the device including: the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is configured to acquire grid infrastructure service basic information and execution node information corresponding to the grid infrastructure service basic information, the grid infrastructure service basic information comprises a grid infrastructure service starting date and a grid infrastructure service type, and the execution node information comprises a completed node information set and an execution node identifier; the first determining unit is configured to determine a grid construction service node interval duration sequence corresponding to a preset grid construction service node identification sequence according to the grid construction service type and the grid construction service start date; the first generation unit is configured to generate an estimated grid infrastructure service node time information group corresponding to the preset grid infrastructure service node identification sequence according to the grid infrastructure service start date and the grid infrastructure service node interval duration sequence; the second determining unit is configured to determine estimated grid infrastructure service node time information corresponding to the execution node identifier in the estimated grid infrastructure service node time information set as target estimated grid infrastructure service node time information; the second generation unit is configured to generate a node execution type according to the current time and the target estimated grid infrastructure service node time information; the correction unit is configured to respond to the fact that the node execution type meets the preset type condition, and correct the estimated power grid infrastructure service node time information set according to the completed node information set and the preset power grid infrastructure service node identification sequence to obtain a corrected power grid infrastructure service node time information set; a third determining unit configured to determine the preset power grid infrastructure service node identification sequence, the estimated power grid infrastructure service node time information set, and the corrected power grid infrastructure service node time information set as updated power grid infrastructure service node information; and the display unit is configured to display the updated grid infrastructure service node information in the grid infrastructure service early warning page.

In a third aspect, some embodiments of the present disclosure provide an electronic device comprising: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors causes the one or more processors to implement the method described in any of the implementations of the first aspect above.

In a fourth aspect, some embodiments of the present disclosure provide a computer readable medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method described in any of the implementations of the first aspect.

The above embodiments of the present disclosure have the following advantageous effects: the method for displaying the updated grid infrastructure service node information can reduce the waste of node resources. Specifically, the reason why the waste of node resources is caused is that: in the actual execution process, when the completion date of one execution node changes, the change of the completion date of each subsequent execution node is affected, so that the accuracy of each subsequent completion date determined according to the start date of the power grid infrastructure service is lower, the accuracy of the estimated time of the scheduled node resource is lower, and when the estimated time of the scheduled node resource is earlier than the time of the actual scheduled node resource, the node resource (such as cement and electric wires) is wasted. Based on this, in some embodiments of the present disclosure, a method for displaying node information of an updated grid infrastructure service includes first obtaining grid infrastructure service base information and execution node information corresponding to the grid infrastructure service base information. The power grid infrastructure service basic information comprises a power grid infrastructure service starting date and a power grid infrastructure service type, and the execution node information comprises a completed node information set and an execution node identifier. Therefore, the current execution information of the power grid infrastructure service can be obtained, and the method can be used for updating the node information of the power grid infrastructure service. And secondly, determining a grid construction service node interval duration sequence corresponding to a preset grid construction service node identification sequence according to the grid construction service type and the grid construction service starting date. Therefore, the time interval required between the grid infrastructure service nodes corresponding to different grid infrastructure services can be obtained, and the time interval can be used for estimating the date when each grid infrastructure service node is completed. And then, generating an estimated grid construction service node time information group corresponding to the preset grid construction service node identification sequence according to the grid construction service start date and the grid construction service node interval duration sequence. Therefore, the date when each grid infrastructure service node is completed, which is estimated according to the starting date of the grid infrastructure service, can be obtained, and can be used for determining whether each completed grid infrastructure service node is overdue. And then determining the estimated power grid infrastructure service node time information corresponding to the execution node identification in the estimated power grid infrastructure service node time information group as target estimated power grid infrastructure service node time information. Therefore, the date when the power grid infrastructure service node estimated by the power grid infrastructure service node currently executed is completed can be obtained. And then, generating a node execution type according to the current time and the target estimated grid infrastructure service node time information. Thus, whether the currently executing power grid infrastructure service node is overdue can be judged. And then, in response to determining that the node execution type meets the preset type condition, carrying out correction processing on the estimated grid infrastructure service node time information set according to the completed node information set and the preset grid infrastructure service node identification sequence to obtain a corrected grid infrastructure service node time information set. Therefore, when the currently executing power grid infrastructure service node is overdue, the estimated power grid infrastructure service node time information group obtained according to the power grid infrastructure service start date can be updated, and accordingly updated power grid infrastructure service node time information according to actual execution conditions can be obtained. And then determining the preset power grid infrastructure service node identification sequence, the estimated power grid infrastructure service node time information group and the corrected power grid infrastructure service node time information group as updated power grid infrastructure service node information. The updated information of the completion date of the grid-infrastructure service node can be obtained, and can be used for displaying to users responsible for executing the grid-infrastructure service node. And finally, displaying the updated grid infrastructure service node information in a grid infrastructure service early warning page. Therefore, the updated information of the completion date of the power grid infrastructure service node can be displayed to the user responsible for executing the power grid infrastructure service node, and the time for predicting the resource required by dispatching the power grid infrastructure service node can be estimated. And when the current grid infrastructure service node is overdue, the completion date of each subsequent grid infrastructure service node estimated according to the start date of the grid infrastructure service is corrected, and the change of the completion date of each subsequent execution node is influenced when the completion date of one execution node is changed in the actual execution process, so that the accuracy of the displayed completion date of each grid infrastructure service node can be improved, the accuracy of the estimated time for scheduling the resources required by the grid infrastructure service node is further improved, and the waste of node resources can be reduced.

Drawings

The above and other features, advantages, and aspects of embodiments of the present disclosure will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. The same or similar reference numbers will be used throughout the drawings to refer to the same or like elements. It should be understood that the figures are schematic and that elements and components are not necessarily drawn to scale.

FIG. 1 is a flow chart of some embodiments of a method of updating grid infrastructure service node information display according to the present disclosure;

FIG. 2 is a schematic diagram of some embodiments of an updated grid-infrastructure service node information display device according to the present disclosure;

fig. 3 is a schematic structural diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.

Detailed Description

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present disclosure.

It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings. Embodiments of the present disclosure and features of embodiments may be combined with each other without conflict.

It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.

It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.

The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.

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

Fig. 1 illustrates a flow 100 of some embodiments of a method of updating grid infrastructure service node information display according to the present disclosure. The method for displaying the updated power grid infrastructure service node information comprises the following steps:

Step 101, acquiring power grid infrastructure service basic information and execution node information corresponding to the power grid infrastructure service basic information.

In some embodiments, an execution body (for example, a computing device) of the method for updating the information display of the grid infrastructure service node may acquire the grid infrastructure service base information and the execution node information corresponding to the grid infrastructure service base information from the database through a wired connection manner or a wireless connection manner. The power grid infrastructure service basic information is information of power grid infrastructure service. The power grid infrastructure service basic information comprises a power grid infrastructure service starting date and a power grid infrastructure service type. The start date of the grid-based service may be a date when the grid-based service starts to be executed. The type of the grid-based service may be a type to which the corresponding grid-based service belongs. The grid infrastructure service type may be, but is not limited to, one of the following: large-scale construction service, medium-sized construction service, small-sized construction service, electric network construction scientific research service and electric network construction education and training service. The large-scale infrastructure service may be a grid infrastructure service that completes value information (e.g., price) required for the corresponding grid infrastructure service to be greater than or equal to the first preset value information. The first preset value information may be value information required by a preset power grid infrastructure service. The medium-sized infrastructure service may be a grid infrastructure service in which the value information required for completing the corresponding grid infrastructure service is smaller than the first preset value information and greater than or equal to the second preset value information. The second preset value information may be value information required by a preset power grid infrastructure service. It should be noted that the second preset value information is smaller than the first preset value information. The small-sized infrastructure service may be a grid infrastructure service that requires less value information than the second preset value information to complete the corresponding grid infrastructure service. The power grid infrastructure scientific research service can be a service for performing scientific research on the power grid infrastructure service. The power grid infrastructure education and training service can be a service for performing education and training on the power grid infrastructure service.

The execution node information may be information of each grid infrastructure service node that has completed and is completing the grid infrastructure service up to the current time. The grid-based service node may be a node for performing grid-based service segmentation. For example, the grid-infrastructure service node may be a downstream grid-infrastructure service plan. The execution node information may include, but is not limited to, a completed node information set and an execution node identification. The completed node information in the completed node information set may be information of a grid infrastructure service node corresponding to that the grid infrastructure service has been completed. The completed node information may include a completed node identification. The completed node identifier may be an identifier of a completed grid infrastructure service node. The executing node identifier may be an identifier of a power grid infrastructure service node that is being executed at the current time. It should be noted that the wireless connection may include, but is not limited to, 3G/4G connections, wiFi connections, bluetooth connections, wiMAX connections, zigbee connections, UWB (ultra wideband) connections, and other now known or later developed wireless connection means.

Step 102, determining a grid construction service node interval duration sequence corresponding to a preset grid construction service node identification sequence according to the grid construction service type and the grid construction service start date.

In some embodiments, the executing entity may determine a grid construction service node interval duration sequence corresponding to a preset grid construction service node identifier sequence according to the grid construction service type and the grid construction service start date. The preset power grid infrastructure service node identification sequence may be a preset sequence in which power grid infrastructure service node identifications of power grid infrastructure service nodes corresponding to the power grid infrastructure service basic information are arranged according to an execution sequence of the power grid infrastructure service nodes. And the grid infrastructure service nodes included in each grid infrastructure service node are in one-to-one correspondence with the grid infrastructure service node identifiers in the grid infrastructure service node identifiers. The grid infrastructure service node identifiers in the grid infrastructure service node identifiers can be unique identifiers of the corresponding grid infrastructure service nodes. For example, the preset grid infrastructure service node identification sequence may be "{ plan down, grid infrastructure service item, demand report, grid infrastructure service execution, grid infrastructure service completion, grid infrastructure service circulation value information statistics (e.g. grid infrastructure service settlement), and grid infrastructure service shutdown }). In practice, the execution body may determine, according to the grid-based service type, a grid-based service node interval duration sequence corresponding to a preset grid-based service node identifier sequence in various manners.

In some optional implementations of some embodiments, the executing entity may determine the grid-construction service node interval duration sequence corresponding to the preset grid-construction service node identifier sequence according to the grid-construction service type and the grid-construction service start date by:

inputting the power grid infrastructure service type and the power grid infrastructure service start date into a pre-trained first power grid infrastructure service node interval duration sequence generating model to obtain a first power grid infrastructure service node interval duration sequence corresponding to a preset power grid infrastructure service node identification sequence. The first power grid infrastructure service node interval duration sequence generation model may be a time sequence prediction model taking a power grid infrastructure service type and a power grid infrastructure service start date as inputs and taking a power grid infrastructure service node interval duration sequence as an output. The first grid-based service node interval duration in the first grid-based service node interval duration sequence may correspond to the preset grid-based service node identifiers in the preset grid-based service node identifier sequence one by one. The grid infrastructure service node interval duration in the grid infrastructure service node interval duration sequence may be an interval duration between a date when the corresponding grid infrastructure service node is completed and a date when the grid infrastructure service is started. The above sequence of grid-based service node interval durations may be a sequence in which the interval durations of the grid-based service nodes are arranged according to the execution sequence of the corresponding grid-based service nodes. It should be noted that, the first power grid infrastructure service node interval duration sequence generation model may be a time sequence prediction model applicable to time sequence data with periodic characteristics. For example, the above-described time series prediction model may be a seasonal autoregressive integrated moving average model.

And secondly, inputting the power grid infrastructure service type and the power grid infrastructure service starting date into a pre-trained second power grid infrastructure service node interval duration sequence generating model to obtain a second power grid infrastructure service node interval duration sequence corresponding to a preset power grid infrastructure service node identification sequence. The second power grid infrastructure service node interval duration sequence generation model may be a time sequence prediction model taking a power grid infrastructure service type and a power grid infrastructure service start date as inputs and taking a power grid infrastructure service node interval duration sequence as an output. It should be noted that, the second power grid infrastructure service node interval duration sequence generation model may be a time sequence prediction model applicable to a smaller data fluctuation. For example, the timing prediction model may be a differential integrated moving average autoregressive (Autoregressive Integrated Moving Averag, ARIMA) model.

And thirdly, determining a model weight set corresponding to the first power grid infrastructure service node interval duration sequence generation model and the second power grid infrastructure service node interval duration sequence generation model according to the power grid infrastructure service type. In practice, the executing body may determine, in response to determining that the grid-based service type exists in a preset first grid-based service type set, a preset first model weight set as a model weight set corresponding to the first grid-based service node interval duration sequence generation model and the second grid-based service node interval duration sequence generation model. The preset first grid infrastructure service type in the preset first grid infrastructure service type set may be a preset grid infrastructure service type in which the duration of completing the grid infrastructure service node required by each grid infrastructure service node corresponding to the grid infrastructure service is greatly affected by time, season, etc. The preset first grid infrastructure service type set may include, but is not limited to: large-scale and medium-sized infrastructure services. And each preset first model weight in the preset first model weight set corresponds to the first power grid infrastructure service node interval duration sequence generation model and the second power grid infrastructure service node interval duration sequence generation model respectively. It should be noted that, the preset first model weight corresponding to the first power grid infrastructure service node interval duration sequence generating model is greater than the preset first model weight corresponding to the second power grid infrastructure service node interval duration sequence generating model. The sum of the preset first model weights may be 1. The preset first model weight can be the weight of a model generated for the corresponding grid infrastructure service node interval duration sequence. And then, in response to determining that the grid-based service type exists in a preset second grid-based service type set, determining a preset second model weight set as a model weight set corresponding to the first grid-based service node interval duration sequence generation model and the second grid-based service node interval duration sequence generation model. The preset second grid infrastructure service type in the preset second grid infrastructure service type set may be a preset grid infrastructure service type with less influence of time, season, etc. on the time required for completing the grid infrastructure service node for each grid infrastructure service node corresponding to the grid infrastructure service. The preset second set of grid-infrastructure service types may include, but are not limited to: small-sized construction service, electric network construction scientific research service and electric network construction education training service. And each preset second model weight in the preset second model weight set corresponds to the first power grid infrastructure service node interval duration sequence generation model and the second power grid infrastructure service node interval duration sequence generation model respectively. It should be noted that, the preset second model weight corresponding to the first power grid infrastructure service node interval duration sequence generating model is smaller than the preset second model weight corresponding to the second power grid infrastructure service node interval duration sequence generating model. The sum of the preset second model weights may be 1. The preset second model weight can be the weight of the model generated for the corresponding grid infrastructure service node interval duration sequence.

Fourth, for each preset grid infrastructure service node identifier in the preset grid infrastructure service node identifier sequence, executing the following substeps:

and a first sub-step of determining a first grid infrastructure service node interval duration corresponding to the preset grid infrastructure service node identifier in the first grid infrastructure service node interval duration sequence as a first node interval duration.

And a second sub-step of determining a second grid infrastructure service node interval duration corresponding to the preset grid infrastructure service node identifier in the second grid infrastructure service node interval duration sequence as a second node interval duration.

And a third sub-step of determining the product of the first node interval duration and the model weight of the model weight set, which corresponds to the first grid infrastructure service node interval duration sequence generation model, as a first interval duration.

And a fourth sub-step of determining the product of the second node interval duration and the model weight of the model weight set, which corresponds to the second grid infrastructure service node interval duration sequence generation model, as a second interval duration.

And a fifth sub-step of determining the sum of the first interval duration and the second interval duration as the interval duration of the power grid infrastructure service node.

And a sixth sub-step, determining the bit information of the preset power grid infrastructure service node identifier in the preset power grid infrastructure service node identifier sequence as interval time duration information.

And fifthly, sequencing the determined interval duration of each power grid infrastructure service node according to the determined interval duration information to obtain a power grid infrastructure service node interval duration sequence. In practice, the execution main body may perform sorting processing on the determined interval duration of each grid infrastructure service node according to the determined ascending order of the interval duration sequence of each interval duration, so as to obtain a grid infrastructure service node interval duration sequence.

The technical solution and related content thereof are taken as an invention point of the embodiments of the present disclosure, which solves the technical problem mentioned in the background art that the actual completion time lengths of the same execution node in different periods are also different (for example, when the execution node is a project construction for a large-scale power grid infrastructure service, the completion time length required in winter is generally longer than the completion time length required in autumn due to the influence of weather), and the accuracy of determining the completion date of each subsequent execution node is lower according to the preset completion time length required by each execution node, thereby further causing lower accuracy of the estimated time of the scheduled node resource, and when the estimated time of the scheduled node resource is earlier than the time of the actual scheduled node resource, causing the waste of the node resource). Factors that lead to the waste of node resources are often as follows: the actual completion time length of the same execution node in different periods is also different (for example, when the execution node is project construction for large-scale power grid infrastructure service, the execution node is affected by weather, the completion time length required in winter is generally longer than the completion time length required in autumn), and according to the preset completion time length required by each execution node, the accuracy of determining the completion date of each subsequent execution node is lower, so that the accuracy of estimated time of scheduling node resources is further lower, and when the estimated time of scheduling node resources is earlier than the time of actual scheduling node resources, the node resources are wasted. If the above factors are solved, the effect of reducing the waste of node resources can be achieved. To achieve this effect, in some embodiments of the present disclosure, the updated grid-infrastructure service node information display method includes first inputting the grid-infrastructure service type and the grid-infrastructure service start date into a pre-trained first grid-infrastructure service node interval duration sequence generating model to obtain a first grid-infrastructure service node interval duration sequence corresponding to a preset grid-infrastructure service node identification sequence. Therefore, the interval duration between two adjacent grid infrastructure service nodes can be obtained through a time sequence prediction model which is applicable to the condition that the fluctuation is large due to time influence. And secondly, inputting the power grid infrastructure service type and the power grid infrastructure service starting date into a pre-trained second power grid infrastructure service node interval duration sequence generating model to obtain a second power grid infrastructure service node interval duration sequence corresponding to a preset power grid infrastructure service node identification sequence. Therefore, the interval duration between two adjacent grid infrastructure service nodes can be obtained through a time sequence prediction model which is suitable for small fluctuation under the influence of time. And then, determining a model weight set corresponding to the first power grid infrastructure service node interval duration sequence generation model and the second power grid infrastructure service node interval duration sequence generation model according to the power grid infrastructure service type. Therefore, the model weight set can be dynamically adjusted by combining the power grid infrastructure service type, so that the model weight set which is more fit with the actual model weight set can be obtained. Then, for each preset grid infrastructure service node identifier in the preset grid infrastructure service node identifier sequence, executing the following steps: determining the first grid infrastructure service node interval duration corresponding to the preset grid infrastructure service node identifier in the first grid infrastructure service node interval duration sequence as a first node interval duration; determining a second power grid infrastructure service node interval duration corresponding to the preset power grid infrastructure service node identifier in the second power grid infrastructure service node interval duration sequence as a second node interval duration; determining the product of the first node interval duration and the model weight of the model weight set, which corresponds to the first grid infrastructure service node interval duration sequence generation model, as a first interval duration; determining the product of the second node interval duration and the model weight of the model weight set corresponding to the second grid infrastructure service node interval duration sequence generation model as a second interval duration; determining the sum of the first interval duration and the second interval duration as the interval duration of the power grid infrastructure service node; and determining the bit information of the preset power grid infrastructure service node identifier in the preset power grid infrastructure service node identifier sequence as interval time bit information. Therefore, the interval duration of each grid construction service node of the grid construction service start date combined with the grid construction service type can be obtained, and the accuracy of determining the completion date of each follow-up execution node can be improved. And finally, according to the determined interval time length information, sequencing the determined interval time length of each power grid infrastructure service node to obtain a power grid infrastructure service node interval time length sequence. Therefore, the grid infrastructure service node interval duration sequence of the preset grid infrastructure service node identification sequence can be obtained. And when the completion time required by each execution node is long, the prediction is performed through different time sequence prediction models, and the model weight is dynamically adjusted according to the power grid infrastructure service type, so that more accurate power grid infrastructure service node interval time can be obtained, the accuracy of the completion date of each subsequent execution node is improved, the accuracy of the predicted time of scheduling node resources is further improved, and the waste of node resources can be reduced.

And step 103, generating an estimated grid construction service node time information group corresponding to a preset grid construction service node identification sequence according to the grid construction service start date and the grid construction service node interval duration sequence.

In some embodiments, the executing entity may generate the estimated grid infrastructure service node time information set corresponding to the preset grid infrastructure service node identification sequence according to the grid infrastructure service start date and the grid infrastructure service node interval duration sequence. In practice, first, the above-mentioned grid-infrastructure service start date is determined as the upper node start date. For each preset grid-infrastructure service node identifier in the preset grid-infrastructure service node identifier sequence, the executing body may execute the following substeps:

and a first sub-step of determining the grid construction service node interval duration corresponding to the preset grid construction service node identifier in the grid construction service node interval duration sequence as a target grid construction service node interval duration.

And a second sub-step, determining the sum of the grid infrastructure service start date and the interval duration of the target grid infrastructure service node as estimated grid infrastructure service node time information.

And then, determining the determined time information of each estimated power grid infrastructure service node as an estimated power grid infrastructure service node time information group.

Step 104, determining the estimated power grid infrastructure service node time information corresponding to the execution node identifier in the estimated power grid infrastructure service node time information group as target estimated power grid infrastructure service node time information.

In some embodiments, the executing entity may determine the estimated grid-based service node time information corresponding to the executing node identifier in the estimated grid-based service node time information set as the target estimated grid-based service node time information.

And 105, generating a node execution type according to the current time and the target estimated grid infrastructure service node time information.

In some embodiments, the executing entity may generate the node execution type according to the current time and the target estimated grid infrastructure service node time information. The node execution type can represent whether the executing power grid infrastructure service node is overdue or not. In practice, first, the executing entity may determine, as the node execution type, a preset non-exceeding type in response to determining that the current time is earlier than the target estimated grid infrastructure service node time information. The preset non-exceeding type may be a preset type indicating that the grid infrastructure service node is not exceeding. Then, the executing body may determine the preset overrun type as a node executing type in response to determining that the current time is later than or equal to the target estimated grid infrastructure service node time information. The preset out-of-date type can be a preset type representing out-of-date of a power grid infrastructure service node.

And step 106, in response to determining that the node execution type meets the preset type condition, correcting the estimated grid infrastructure service node time information set according to the completed node information set and the preset grid infrastructure service node identification sequence to obtain a corrected grid infrastructure service node time information set.

In some embodiments, the executing body may perform correction processing on the estimated grid infrastructure service node time information set according to the completed node information set and the preset grid infrastructure service node identification sequence in response to determining that the node execution type meets a preset type condition, to obtain a corrected grid infrastructure service node time information set.

Optionally, the completed node information in the completed node information set may further include a node completion date. The node completion date may be a date when the corresponding grid infrastructure service node is completed.

In some optional implementations of some embodiments, the executing body may perform correction processing on the estimated grid infrastructure service node time information set according to the completed node information set and the preset grid infrastructure service node identification sequence to obtain a corrected grid infrastructure service node time information set:

And determining each preset power grid infrastructure service node identifier meeting a first preset position secondary condition in the preset power grid infrastructure service node identifier sequence as a completed power grid infrastructure service node identifier sequence. The first preset bit order condition may be that the bit order of the preset power grid infrastructure service node identifier in the preset power grid infrastructure service node identifier sequence is smaller than the bit order of the executing node identifier.

The second step, for each completed grid infrastructure service node identifier included in the above described sequence of completed grid infrastructure service node identifiers, the following sub-steps are performed:

and a first sub-step of determining the completed node information corresponding to the completed grid infrastructure service node identifier in the completed node information set as target completed node information.

And a second substep, determining the node completion date included in the target completed node information as corrected grid infrastructure service node time information.

And thirdly, acquiring the execution progress information corresponding to the execution node identifier. The execution progress information may be an execution progress of a power grid infrastructure service node. The execution progress may be expressed in the form of a percentage. For example, the execution progress information may be 80%. In practice, the execution subject may acquire the execution progress information corresponding to the execution node identifier from the database by means of wired connection or wireless connection.

And step four, determining the time length to be completed information corresponding to the execution node identification according to the execution progress information. In practice, the execution body may determine the preset to-be-completed duration information corresponding to the execution progress information as to-be-completed duration information corresponding to the execution node identifier. The preset time length information may be a preset time length required for completing the remaining execution progress.

And fifthly, determining the time information of the corrected power grid infrastructure service node corresponding to the execution node identifier according to the current time and the time information to be completed. In practice, the execution body may determine the sum of the target estimated grid infrastructure service node time information and the to-be-completed duration information as corrected grid infrastructure service node time information corresponding to the execution node identifier.

As an example, the target estimated power grid infrastructure service node time information may be "2022 year 7 month 26", the current time may be "2022 year 7 month 28", the time duration to be completed may be 5 days, and the corrected power grid infrastructure service node time information may be "2022 year 8 month 2".

And sixthly, determining each preset power grid infrastructure service node identifier meeting the second preset secondary condition in the preset power grid infrastructure service node identifier sequence as a power grid infrastructure service node identifier sequence to be completed. The second preset bit order condition may be that the bit order of the preset power grid infrastructure service node identifier in the preset power grid infrastructure service node identifier sequence is greater than the bit order of the executing node identifier.

Seventh, for each to-be-completed grid infrastructure service node identifier included in the to-be-completed grid infrastructure service node identifier sequence, executing the following sub-steps:

the first substep, determining an upper node identifier of the to-be-completed power grid infrastructure service node identifier according to the preset power grid infrastructure service node identifier sequence and the to-be-completed power grid infrastructure service node identifier. In practice, the executing body may determine, as the upper node identifier of the to-be-completed power grid infrastructure service node identifier, a preset power grid infrastructure service node identifier that satisfies a preset upper node condition in the preset power grid infrastructure service node identifier sequence. The preset upper node condition may be that a preset power grid infrastructure service node identifier is adjacent to the to-be-completed power grid infrastructure service node identifier, and the rank in the preset power grid infrastructure service node identifier sequence is smaller than the rank of the to-be-completed power grid infrastructure service node identifier.

And a second sub-step of determining the interval duration of the corrected grid infrastructure service node time information corresponding to the upper node identifier and the estimated grid infrastructure service node time information corresponding to the upper node identifier as a target interval duration. The target interval duration may represent an interval duration between a completion date estimated by the power grid infrastructure service node corresponding to the upper node identifier and the corrected completion date. It should be noted that, for the same upper node identifier, when the corrected grid infrastructure service node time information is later than the estimated grid infrastructure service node time information, the target interval duration may be represented by a positive number. When the corrected grid infrastructure service node time information is earlier than the estimated grid infrastructure service node time information, the target interval duration can be represented by a negative number.

As an example, the corrected grid-based service node time information corresponding to the above-mentioned upper node identifier may be "2022 year 7 month 30", the estimated grid-based service node time information corresponding to the above-mentioned upper node identifier may be "2022 year 7 month 31", and then the target interval duration may be "-1 day". The corrected grid-based service node time information corresponding to the upper node identifier may be "2022 year 7 month 30", the estimated grid-based service node time information corresponding to the upper node identifier may be "2022 year 7 month 28", and the target interval duration is "+2 days".

And a third sub-step of inputting the power grid infrastructure service type, the power grid infrastructure service node identification to be completed and the target interval duration into a pre-trained estimated node completion interval duration information generation model to obtain estimated node completion interval duration information. The estimated node completion interval duration information generation model may be a neural network that takes a grid infrastructure service type, a grid infrastructure service node identifier to be completed, and a target interval duration as inputs, and takes estimated node completion interval duration information as output. The neural network may be a recurrent neural network. The estimated node completion interval duration information may be an interval duration between an estimated completion date and an actual completion date of the estimated power grid infrastructure service node corresponding to the power grid infrastructure service node identifier to be completed.

And a fourth sub-step of determining estimated grid construction service node time information corresponding to the to-be-completed grid construction service node identifier in the estimated grid construction service node time information group as to-be-repaired positive grid construction service node time information.

And a fifth substep, determining the sum of the estimated node completion interval time information and the to-be-repaired positive grid infrastructure service node time information as corrected grid infrastructure service node time information corresponding to the to-be-completed grid infrastructure service node identifier.

As an example, the estimated node completion interval duration information may be "-1 day", the estimated grid construction service node time information corresponding to the to-be-completed grid construction service node identifier may be "2022 year 8 month 31", and the corrected grid construction service node time information corresponding to the to-be-completed grid construction service node identifier may be "2022 year 8 month 30".

And eighth step, determining the determined time information of each corrected power grid infrastructure service node as a corrected power grid infrastructure service node time information group.

And step 107, determining a preset power grid infrastructure service node identification sequence, an estimated power grid infrastructure service node time information group and a corrected power grid infrastructure service node time information group as updated power grid infrastructure service node information.

In some embodiments, the executing entity may determine the preset grid-infrastructure service node identification sequence, the estimated grid-infrastructure service node time information set, and the corrected grid-infrastructure service node time information set as updated grid-infrastructure service node information. In practice, the execution body may combine the preset power grid infrastructure service node identification sequence, the estimated power grid infrastructure service node time information set, and the corrected power grid infrastructure service node time information set to obtain updated power grid infrastructure service node information. The combination mode can be character splicing.

And step 108, displaying and updating the grid infrastructure service node information in the grid infrastructure service early warning page.

In some embodiments, the executing entity may display the updated grid infrastructure service node information in a grid infrastructure service early warning page. The grid infrastructure service early warning page may be a page for early warning to the user that the currently executing grid infrastructure service node has exceeded a period and displaying updated grid infrastructure service node information to the user.

Optionally, the above execution body may further execute the following steps:

The first step, a node resource scheduling time information set is generated according to the estimated power grid infrastructure service node time information set and a preset node resource scheduling interval duration set. Each preset node resource scheduling interval duration in the preset node resource scheduling interval duration set may correspond to a preset power grid infrastructure service node identifier. The preset node resource scheduling interval duration in the preset node resource scheduling interval duration set may be an interval duration between a preset time for scheduling node resources required by a corresponding grid infrastructure service node and a grid infrastructure service node start date of a previous grid infrastructure service node. The preset node resource scheduling interval duration in the preset node resource scheduling interval duration set corresponds to a preset node resource scheduling terminal. The preset node resource scheduling terminal can be a terminal corresponding to a user for scheduling resources required by the corresponding power grid infrastructure service node. The preset node resource scheduling terminal can be a computer or a mobile phone. In practice, first, for each preset node resource scheduling interval duration in the preset node resource scheduling interval duration set, the following scheduling time information generating sub-step is executed:

And a first sub-step, determining a preset power grid infrastructure service node identifier corresponding to the preset node resource scheduling interval duration as a power grid infrastructure service node identifier to be scheduled.

And a second sub-step, in response to determining that the frequency of the grid infrastructure service node identifier to be scheduled in the preset grid infrastructure service node identifier sequence is a preset second frequency, determining the sum of the grid infrastructure service start date and the preset node resource scheduling interval duration as node resource scheduling time information. The preset second order may be a preset second order.

And a third sub-step, in response to determining that the frequency of the grid infrastructure service node identifier to be scheduled in the preset grid infrastructure service node identifier sequence is not the preset second frequency, determining the preset grid infrastructure service node identifier meeting the preset node condition in the preset grid infrastructure service node identifier sequence as a reference grid infrastructure service node identifier. The preset node condition may be that the rank of the preset power grid infrastructure service node identifier in the preset power grid infrastructure service node identifier sequence is smaller than the rank of the power grid infrastructure service node identifier to be scheduled, and the rank difference value of the preset power grid infrastructure service node identifier and the power grid infrastructure service node identifier is 2.

And a fourth sub-step of determining estimated grid construction service node time information corresponding to the reference grid construction service node identifier in the estimated grid construction service node time information group as reference grid construction service node time information.

And a fifth sub-step of determining the sum of the reference power grid infrastructure service node time information and the preset node resource scheduling interval time length as node resource scheduling time information.

Then, the determined individual node resource scheduling time information is determined as a node resource scheduling time information group.

And secondly, updating the node resource scheduling time information group according to the corrected power grid infrastructure service node time information group to obtain an updated resource scheduling time information group. In practice, first, the executing body may determine each node resource scheduling time information corresponding to the to-be-completed grid infrastructure service node identifier sequence in the node resource scheduling time information set as a node resource scheduling time information set to be updated. Then, executing the following substeps of:

And a first sub-step, determining a reference power grid infrastructure service node identifier corresponding to the node resource scheduling time information to be updated as a target reference power grid infrastructure service node identifier.

And a second sub-step of determining the preset node resource scheduling interval duration corresponding to the node resource scheduling time information to be updated as the target node resource scheduling interval duration.

And a third sub-step of determining the sum of the corrected grid infrastructure service node time information corresponding to the target reference grid infrastructure service node identifier in the corrected grid infrastructure service node time information group and the target node resource scheduling interval duration as updated resource scheduling time information.

Finally, each of the determined updated resource schedule time information is determined as an updated resource schedule time information group.

And thirdly, for each piece of updated resource scheduling time information included in the updated resource scheduling time information group, sending the updated resource scheduling time information to a preset node resource scheduling terminal corresponding to the updated resource scheduling time information so as to schedule each node resource corresponding to a preset node resource information set by a scheduling user. The preset node resource information included in the preset node resource information set may be preset information of each node resource required by the corresponding power grid infrastructure service node. The preset node resource information may include, but is not limited to, a node resource identification and a node resource number. The node resource identifier may be a unique identifier for the node resource. The number of node resources may be the number of node resources. The node resources may be resources required by the corresponding grid infrastructure service node. As an example, when the type of the grid-based service is a large-scale building service, the preset grid-based service node identifier corresponding to the updated resource scheduling time information is "grid-based service execution", the node resource may be an electric wire or cement.

Optionally, the above execution body may further execute the following steps:

in the first step, in response to detecting a selection operation of any grid infrastructure service node control included in the grid infrastructure service information query page, determining a preset grid infrastructure service node identifier corresponding to the any grid infrastructure service node control included in the preset grid infrastructure service node identifier sequence as a query grid infrastructure service node identifier. The grid infrastructure service information query page may be a page for querying information of each execution node corresponding to each grid infrastructure service. The grid infrastructure service information inquiry page and the grid infrastructure service early warning page both belong to a grid infrastructure service information inquiry interface. The grid infrastructure service information query interface may be an interface for querying information of each execution node corresponding to each grid infrastructure service. The grid-based service node control may be a control for querying information of execution of each grid-based service of the corresponding grid-based service node. The grid infrastructure service node controls and the grid infrastructure service node identifiers can be in one-to-one correspondence.

And secondly, acquiring an execution information set of the power grid infrastructure service. Each grid infrastructure service execution information included in the grid infrastructure service execution information set corresponds to one grid infrastructure service. The grid-based service execution information included in the grid-based service execution information set may be information corresponding to the grid-based service execution. The grid infrastructure service execution information may include, but is not limited to, a grid infrastructure service identifier, a grid infrastructure service type, and a region identifier to which the grid infrastructure service belongs. The grid infrastructure service identifier can be a unique identifier for the grid infrastructure service. The area identifier to which the grid-based service belongs may be a unique identifier to the area to which the grid-based service belongs. The region to which the grid-based service belongs may be a region to which the grid-based service belongs. For example, the area to which the grid-based service belongs may be "shan-xi-da". In practice, the executing body can acquire the power grid infrastructure service executing information set from the database in a wired connection or wireless connection mode.

And thirdly, classifying the power grid infrastructure service execution information included in the power grid infrastructure service execution information set to obtain power grid infrastructure service execution information set corresponding to each preset classification dimension. The preset classification dimension in each preset classification dimension may be a preset dimension for classifying each grid infrastructure service. The foregoing respective preset classification dimensions may include, but are not limited to, a grid infrastructure service type dimension and a grid infrastructure service area dimension. In practice, for each of the respective preset classification dimensions, the execution body may execute the following sub-steps:

The first substep, determining a preset power grid infrastructure service attribution group identification group corresponding to the preset classification dimension as a target power grid infrastructure service attribution group identification group. The preset power grid infrastructure service attribution group identifier group can be preset power grid infrastructure service attribution group identifiers. The power grid infrastructure service attribution group identifiers can be identifiers of the power grid infrastructure services after division according to the preset classification dimension.

As an example, when the preset classification dimension is a grid-based service type dimension, the above-mentioned each grid-based service attribution group identifier may be each grid-based service type included in the grid-based service execution information set.

And a second sub-step of determining each grid infrastructure service execution information corresponding to the target grid infrastructure service attribution group identifier in the grid infrastructure service execution information set as a grid infrastructure service execution information group for each target grid infrastructure service attribution group identifier included in the target grid infrastructure service attribution group identifier.

And a third sub-step of determining each determined power grid infrastructure service execution information group as a power grid infrastructure service execution information group set.

Fourth, for each grid-based service execution information group set in the above-mentioned each grid-based service execution information group set, the following sub-steps are executed:

and a first sub-step of determining a preset classification dimension corresponding to the power grid infrastructure service execution information set in each preset classification dimension as a target classification dimension.

And a second sub-step, for each preset power grid infrastructure service attribution group identifier included in the preset power grid infrastructure service attribution group identifier corresponding to the target classification dimension, generating attribution group control information according to the power grid infrastructure service execution information group corresponding to the preset power grid infrastructure service attribution group identifier in the power grid infrastructure service execution information group set, the target classification dimension and the query power grid infrastructure service node identifier. The home group control information may be information of a control corresponding to a preset power grid infrastructure service home group identifier. In practice, for each preset grid infrastructure service attribution group identifier included in the preset grid infrastructure service attribution group identifier group corresponding to the target classification dimension, the execution body may generate attribution group control information according to the grid infrastructure service execution information group corresponding to the preset grid infrastructure service attribution group identifier, the target classification dimension and the query grid infrastructure service node identifier in the grid infrastructure service execution information group set in various manners.

And a third sub-step of displaying each power grid infrastructure service attribution group control corresponding to the generated attribution group control information in a target classification dimension module included in the power grid infrastructure service information inquiry page. The object classification dimension module corresponds to the object classification dimension. The target classification dimension module may be a page module for displaying the completion information of each home group power grid infrastructure service node corresponding to the target classification dimension.

Optionally, the grid infrastructure service execution information in the grid infrastructure service execution information set may include grid infrastructure service value information and node information corresponding to the query grid infrastructure service node identifier. The grid-infrastructure service value information may be value information (for example, an amount) required for completing the corresponding grid-infrastructure service. The node information may be information of a grid infrastructure service node corresponding to the grid infrastructure service node identifier of the query grid infrastructure service. The node information may include, but is not limited to, node status and node value information. The node status may characterize whether the corresponding grid-infrastructure service node is complete. The node state may be, but is not limited to, one of the following: completed and not completed. The node value information can be value information which is transferred by the corresponding power grid infrastructure service node.

In some optional implementations of some embodiments, the executing entity may generate the home group control information according to the grid-based service execution information set corresponding to the preset grid-based service home group identifier, the target classification dimension, and the query grid-based service node identifier in the grid-based service execution information set by:

the method comprises the steps of firstly, responding to the fact that the node identification of the query power grid infrastructure service meets preset identification conditions, responding to the fact that node information contained in the power grid infrastructure service execution information meets preset state conditions for each power grid infrastructure service execution information contained in the power grid infrastructure service execution information, determining the node information contained in the power grid infrastructure service execution information as target node information, and determining the power grid infrastructure service execution information as completed power grid infrastructure service execution information. The preset identification condition may be that the rank of the query power grid infrastructure service node identification in the preset power grid infrastructure service node identification sequence is not 1. The preset state condition may be that node state representation included in the node information is completed for the corresponding power grid infrastructure service node.

And secondly, determining the number of the determined execution information of each completed power grid infrastructure service as the number of the completed power grid infrastructure services.

And thirdly, determining the quantity of each grid infrastructure service execution information included in the grid infrastructure service execution information group as the estimated total quantity of the grid infrastructure services.

And fourthly, determining the ratio of the number of the completed grid infrastructure services to the estimated total number of the grid infrastructure services as node completion ratio information.

And fifthly, generating node completion value information according to the determined target node information and the grid construction service value information included in the grid construction service execution information group. In practice, first, the above-described execution subject may determine the sum of the individual node value information included in the determined individual target node information as the node completed value information. And then, determining the sum of the value information of each grid infrastructure service included in the grid infrastructure service execution information group as total value information. And finally, determining the ratio of the node finished value information to the total value information as node finished value information.

And step six, generating home group power grid infrastructure service node completion information according to the node completion duty ratio information and the node completion value information. In practice, the executing body may determine the sum of the product of the node completion ratio information and the preset first weight and the product of the node completion value information and the preset second weight as the home grid infrastructure service node completion information. The preset first weight may be a preset weight value occupied by a completion duty ratio on the number of grid infrastructure services. The preset second weight is a preset weight value occupied by the completion duty ratio on the value information. The sum of the preset first weight and the preset second weight may be 1. For example, the preset first weight may be 0.4, and the preset second weight may be 0.6.

And seventhly, generating background color information of the first home group control according to the home group power grid infrastructure service node completion information. In practice, the preset first control background color corresponding to the home group power grid infrastructure service node completion information is determined to be the first home group control background color information. The preset background color of the first control may be a preset background color of the control. For example, when the home grid infrastructure service node completion information is "80%", the background color of the preset control may be red. When the home grid infrastructure service node completion information is "20%", the background color of the preset control may be gray.

And eighth step, determining a home group control style according to a preset control style group set and the target classification dimension. Wherein, the preset control style sets in the preset control style set are in one-to-one correspondence with the preset classification dimension. And the preset control styles in the preset control style group are in one-to-one correspondence with preset power grid infrastructure service attribution group identifiers. The preset control style in the preset control style set may be a style of a preset control. In practice, the executing body may determine, as the home group control style, a preset control style corresponding to the target classification dimension in the preset control style group set and the preset control style corresponding to the preset grid infrastructure service home group identifier.

As an example, when the target classification dimension is a grid infrastructure service type dimension, the home group control style may be a rectangular box.

As yet another example, when the target classification dimension is a dimension of a region to which the grid-based service belongs, and the preset grid-based service attribution group identifier is "shanxi da", the attribution group control style may be a style of a map tile of "shanxi da".

And ninth, determining the background color information of the first home group control and the home group control style as home group control information.

Optionally, the above execution body may further execute the following steps:

and in the first step, in response to determining that the query power grid infrastructure service node identifier does not meet the preset identifier condition, generating power grid infrastructure service total value information according to the power grid infrastructure service value information included in the power grid infrastructure service execution information group. In practice, the executing body may determine, as the total value information of the grid infrastructure service, a sum of the value information of each grid infrastructure service included in the grid infrastructure service execution information group in response to determining that the query grid infrastructure service node identifier does not meet the preset identifier condition.

And secondly, generating attribution group estimated information according to the total value information of the grid infrastructure services and the estimated total number of the grid infrastructure services. In practice, the execution subject may combine the total value information of the grid-based services and the estimated total number of the grid-based services to obtain estimated information of the attribution group.

And thirdly, generating second attribution group control background color information according to the attribution group estimated information. In practice, the preset second control background color information corresponding to the attribution group estimated information is determined to be the second attribution group control background color information. The preset second control background color may be a preset control background color.

And fourthly, determining the background color information of the second home group control and the home group control style as home group control information.

Optionally, the grid infrastructure service early warning page may further include an early warning summary control. The early warning summarizing control can be a control for summarizing the quantity of basic information of each power grid infrastructure service of early warning.

Optionally, the above execution body may further execute the following steps:

and in the first step, in response to determining that the execution node identifier is a preset closing node identifier and the node execution type meets the preset type condition, storing the power grid infrastructure service basic information into an overdue power grid infrastructure service basic information database. The preset closing node identifier may be a preset identifier of a grid infrastructure service node representing the end of the grid infrastructure service. The overdue grid infrastructure service basic information database may be a database for storing grid infrastructure service basic information corresponding to overdue grid infrastructure service.

And secondly, responding to the detection of the selection operation of the early warning summarization control which is acted on the early warning page of the grid infrastructure service, and determining the quantity of each overdue grid infrastructure service basic information in the overdue grid infrastructure service basic information database as the overdue quantity of the grid infrastructure service.

And thirdly, displaying overdue quantity of the grid infrastructure service in the grid infrastructure service early warning page.

With further reference to fig. 2, as an implementation of the method shown in the foregoing figures, the present disclosure provides some embodiments of an apparatus for updating information display of a power grid infrastructure service node, where the embodiments of the apparatus correspond to those shown in fig. 1, and the apparatus may be specifically applied to various electronic devices.

As shown in fig. 2, the updated grid-infrastructure service node information display apparatus 200 of some embodiments includes: an acquisition unit 201, a first determination unit 202, a first generation unit 203, a second determination unit 204, a second generation unit 205, a correction unit 206, a third determination unit 207, and a display unit 208. The acquiring unit 201 is configured to acquire grid infrastructure service basic information and execution node information corresponding to the grid infrastructure service basic information, where the grid infrastructure service basic information includes a grid infrastructure service start date and a grid infrastructure service type, and the execution node information includes a completed node information set and an execution node identifier; the first determining unit 202 is configured to determine a grid construction service node interval duration sequence corresponding to a preset grid construction service node identification sequence according to the grid construction service type and the grid construction service start date; the first generating unit 203 is configured to generate an estimated grid infrastructure service node time information set corresponding to the preset grid infrastructure service node identification sequence according to the grid infrastructure service start date and the grid infrastructure service node interval duration sequence; the second determining unit 204 is configured to determine estimated grid infrastructure service node time information corresponding to the execution node identifier in the estimated grid infrastructure service node time information set as target estimated grid infrastructure service node time information; the second generating unit 205 is configured to generate a node execution type according to the current time and the target estimated grid infrastructure service node time information; the third determining unit 206 is configured to determine, in response to determining that the node execution type meets a preset type condition, each preset grid-infrastructure service node identifier in the preset grid-infrastructure service node identifier sequence that meets a preset identifier condition as a grid-infrastructure service node identifier sequence to be executed; the correction unit 206 is configured to perform correction processing on the estimated power grid infrastructure service node time information set according to the completed node information set and the preset power grid infrastructure service node identification sequence to obtain a corrected power grid infrastructure service node time information set in response to determining that the node execution type meets a preset type condition; the third determining unit 207 is configured to determine the preset grid infrastructure service node identification sequence, the estimated grid infrastructure service node time information set, and the corrected grid infrastructure service node time information set as updated grid infrastructure service node information; the display unit 208 is configured to display the updated grid infrastructure service node information in the grid infrastructure service early warning page.

It will be appreciated that the elements described in updating the grid-infrastructure service node information display device 200 correspond to the individual steps in the method described with reference to fig. 1. Thus, the operations, features and resulting benefits described above for the method are equally applicable to the apparatus 200 and the units contained therein, and are not described in detail herein.

Referring now to fig. 3, a schematic diagram of an electronic device 300 (e.g., a computing device) suitable for use in implementing some embodiments of the present disclosure is shown. 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), car terminals (e.g., car navigation terminals), and the like, as well as stationary terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 3 is merely an example and should not impose any limitations on the functionality and scope of use of embodiments of the present disclosure.

As shown in fig. 3, the electronic device 300 may include a processing means 301 (e.g., a central processing unit, a graphics processor, etc.) that may perform various suitable actions and processes in accordance with a program stored in a Read Only Memory (ROM) 302 or a program loaded from a storage means 308 into a Random Access Memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the electronic apparatus 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 bus 304.

In general, the following devices may be connected to the I/O interface 305: input devices 306 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 307 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 308 including, for example, magnetic tape, hard disk, etc.; and communication means 309. The communication means 309 may allow the electronic device 300 to communicate with other devices wirelessly or by wire to exchange data. While fig. 3 shows an electronic device 300 having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead. Each block shown in fig. 3 may represent one device or a plurality of devices as needed.

In particular, according to some embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such embodiments, the computer program may be downloaded and installed from a network via communications device 309, or from storage device 308, or from ROM 302. The above-described functions defined in the methods of some embodiments of the present disclosure are performed when the computer program is executed by the processing means 301.

It should be noted that, the computer readable medium described 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 two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, 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 disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, the computer-readable signal medium may comprise a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.

In some implementations, the clients, servers 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"), the internet (e.g., the internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed networks.

The computer readable medium may be contained in the electronic device; or may exist alone without being incorporated into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: acquiring power grid infrastructure service basic information and execution node information corresponding to the power grid infrastructure service basic information, wherein the power grid infrastructure service basic information comprises a power grid infrastructure service starting date and a power grid infrastructure service type, and the execution node information comprises a completed node information set and an execution node identifier; determining a grid construction service node interval duration sequence corresponding to a preset grid construction service node identification sequence according to the grid construction service type and the grid construction service starting date; generating an estimated grid construction service node time information group corresponding to the preset grid construction service node identification sequence according to the grid construction service start date and the grid construction service node interval duration sequence; determining estimated power grid infrastructure service node time information corresponding to the execution node identification in the estimated power grid infrastructure service node time information group as target estimated power grid infrastructure service node time information; generating node execution types according to the current time and the target estimated grid infrastructure service node time information; responding to the fact that the node execution type meets the preset type condition, and carrying out correction processing on the estimated power grid infrastructure service node time information set according to the completed node information set and the preset power grid infrastructure service node identification sequence to obtain a corrected power grid infrastructure service node time information set; determining the preset power grid infrastructure service node identification sequence, the estimated power grid infrastructure service node time information set and the corrected power grid infrastructure service node time information set as updated power grid infrastructure service node information; and displaying the updated grid infrastructure service node information in a grid infrastructure service early warning page.

Computer program code for carrying out operations for some embodiments of the present disclosure may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in some embodiments of the present disclosure may be implemented by means of software, or may be implemented by means of hardware. The described units may also be provided in a processor, for example, described as: a processor includes an acquisition unit, a first determination unit, a first generation unit, a second determination unit, a second generation unit, a correction unit, a third determination unit, and a display unit. The names of these units do not limit the unit itself in some cases, and the acquisition unit may also be described as "a unit that acquires grid-infrastructure service base information and execution node information corresponding to the grid-infrastructure service base information" for example.

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: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), and the like.

The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above technical features, but encompasses other technical features formed by any combination of the above technical features or their equivalents without departing from the spirit of the invention. Such as the above-described features, are mutually substituted with (but not limited to) the features having similar functions disclosed in the embodiments of the present disclosure.

Claims

1. A method for updating information display of a power grid infrastructure service node comprises the following steps:

acquiring grid infrastructure service basic information and execution node information corresponding to the grid infrastructure service basic information, wherein the grid infrastructure service basic information comprises a grid infrastructure service starting date and a grid infrastructure service type, the grid infrastructure service starting date is the date of starting execution of the grid infrastructure service, the grid infrastructure service type is the type corresponding to the grid infrastructure service, the execution node information comprises a completed node information set and an execution node identifier, the execution node identifier is an identifier of a grid infrastructure service node which is executing at the current time, and the grid infrastructure service node is a node for sectionally executing the grid infrastructure service;

determining a grid infrastructure service node interval duration sequence corresponding to a preset grid infrastructure service node identification sequence according to the grid infrastructure service type and the grid infrastructure service start date, wherein the preset grid infrastructure service node identification sequence is a preset sequence in which all grid infrastructure service node identifications of all grid infrastructure service nodes corresponding to the grid infrastructure service basic information are arranged according to the execution sequence of the grid infrastructure service nodes, and determining the grid infrastructure service node interval duration sequence corresponding to the preset grid infrastructure service node identification sequence according to the grid infrastructure service type and the grid infrastructure service start date comprises the following steps:

Inputting the power grid infrastructure service type and the power grid infrastructure service starting date into a pre-trained first power grid infrastructure service node interval duration sequence generating model to obtain a first power grid infrastructure service node interval duration sequence corresponding to a preset power grid infrastructure service node identification sequence;

inputting the power grid infrastructure service type and the power grid infrastructure service starting date into a pre-trained second power grid infrastructure service node interval duration sequence generating model to obtain a second power grid infrastructure service node interval duration sequence corresponding to a preset power grid infrastructure service node identification sequence;

determining a model weight set corresponding to the first power grid infrastructure service node interval duration sequence generation model and the second power grid infrastructure service node interval duration sequence generation model according to the power grid infrastructure service type;

for each preset grid-based service node identifier in the preset grid-based service node identifier sequence, executing the following steps:

determining the first grid infrastructure service node interval duration corresponding to the preset grid infrastructure service node identifier in the first grid infrastructure service node interval duration sequence as a first node interval duration;

Determining second grid infrastructure service node interval duration corresponding to the preset grid infrastructure service node identifier in the second grid infrastructure service node interval duration sequence as second node interval duration;

determining the product of the first node interval duration and the model weight of the model weight set corresponding to the first grid infrastructure service node interval duration sequence generation model as a first interval duration;

determining the product of the second node interval duration and the model weight of the model weight set corresponding to the second grid infrastructure service node interval duration sequence generation model as a second interval duration;

determining the sum of the first interval duration and the second interval duration as the interval duration of the power grid infrastructure service node;

determining the bit information of the preset power grid infrastructure service node identifier in the preset power grid infrastructure service node identifier sequence as interval time bit information;

according to the determined interval time length information, sequencing the determined interval time length of each power grid infrastructure service node to obtain an interval time length sequence of the power grid infrastructure service node;

generating an estimated grid infrastructure service node time information group corresponding to the preset grid infrastructure service node identification sequence according to the grid infrastructure service start date and the grid infrastructure service node interval duration sequence;

Determining estimated power grid infrastructure service node time information corresponding to the execution node identification in the estimated power grid infrastructure service node time information group as target estimated power grid infrastructure service node time information;

generating node execution types according to the current time and the target estimated grid infrastructure service node time information;

responding to the fact that the node execution type meets the preset type condition, and carrying out correction processing on the estimated power grid infrastructure service node time information set according to the completed node information set and the preset power grid infrastructure service node identification sequence to obtain a corrected power grid infrastructure service node time information set;

determining the preset power grid infrastructure service node identification sequence, the estimated power grid infrastructure service node time information group and the corrected power grid infrastructure service node time information group as updated power grid infrastructure service node information;

and displaying the updated grid infrastructure service node information in a grid infrastructure service early warning page.

2. The method of claim 1, wherein the method further comprises:

generating a node resource scheduling time information group according to the estimated power grid infrastructure service node time information group and a preset node resource scheduling interval duration set, wherein the preset node resource scheduling interval duration in the preset node resource scheduling interval duration set corresponds to a preset node resource scheduling terminal;

According to the corrected power grid infrastructure service node time information group, updating the node resource scheduling time information group to obtain an updated resource scheduling time information group;

and for each piece of updated resource scheduling time information included in the updated resource scheduling time information group, sending the updated resource scheduling time information to a preset node resource scheduling terminal corresponding to the updated resource scheduling time information so as to schedule each node resource corresponding to a preset node resource information set by a scheduling user.

3. The method of claim 1, wherein the method further comprises:

in response to detecting a selection operation of any grid infrastructure service node control included in a grid infrastructure service information query page, determining a preset grid infrastructure service node identifier corresponding to the any grid infrastructure service node control included in the preset grid infrastructure service node identifier sequence as a query grid infrastructure service node identifier, wherein the grid infrastructure service information query page and the grid infrastructure service early warning page both belong to a grid infrastructure service information query interface;

acquiring a power grid infrastructure service execution information set;

Classifying the power grid infrastructure service execution information included in the power grid infrastructure service execution information set to obtain power grid infrastructure service execution information set corresponding to each preset classification dimension;

executing the following steps for each power grid infrastructure service execution information group set in the power grid infrastructure service execution information group sets:

determining a preset classification dimension corresponding to the power grid infrastructure service execution information group set in each preset classification dimension as a target classification dimension;

generating attribution group control information according to a power grid infrastructure service execution information group corresponding to the preset power grid infrastructure service attribution group identification corresponding to the target classification dimension, the target classification dimension and the query power grid infrastructure service node identification in the power grid infrastructure service execution information group set for each preset power grid infrastructure service attribution group identification included in the preset power grid infrastructure service attribution group identification corresponding to the target classification dimension;

and displaying each power grid construction service attribution group control corresponding to each generated attribution group control information in a target classification dimension module included in the power grid construction service information inquiry page, wherein the target classification dimension module corresponds to the target classification dimension.

4. A method according to claim 3, wherein the grid-infrastructure service execution information in the grid-infrastructure service execution information set includes grid-infrastructure service value information and node information corresponding to the query grid-infrastructure service node identification; and

the generating the home group control information according to the grid infrastructure service execution information group corresponding to the preset grid infrastructure service home group identifier, the target classification dimension and the query grid infrastructure service node identifier in the grid infrastructure service execution information group set includes:

responding to the fact that the node identification of the query power grid infrastructure service meets a preset identification condition, responding to the fact that node information contained in the power grid infrastructure service execution information meets a preset state condition for each power grid infrastructure service execution information contained in the power grid infrastructure service execution information group, determining the node information contained in the power grid infrastructure service execution information as target node information, and determining the power grid infrastructure service execution information as completed power grid infrastructure service execution information;

determining the number of the determined execution information of each completed power grid infrastructure service as the number of the completed power grid infrastructure services;

Determining the quantity of each grid infrastructure service execution information included in the grid infrastructure service execution information group as the estimated total quantity of the grid infrastructure services;

determining the ratio of the number of the completed power grid infrastructure services to the estimated total number of the power grid infrastructure services as node completion ratio information;

generating node completion value information according to the determined target node information and the grid infrastructure service value information included in the grid infrastructure service execution information group;

generating home group power grid infrastructure service node completion information according to the node completion duty ratio information and the node completion value information;

generating first home group control background color information according to the home group power grid infrastructure service node completion information;

determining a home group control style according to a preset control style set and the target classification dimension;

and determining the background color information of the first home group control and the home group control style as home group control information.

5. The method of claim 4, wherein the method further comprises:

responding to the fact that the query power grid infrastructure service node identification does not meet the preset identification condition, and generating power grid infrastructure service total value information according to the power grid infrastructure service value information included in the power grid infrastructure service execution information group;

Generating attribution group estimated information according to the total value information of the grid infrastructure services and the estimated total number of the grid infrastructure services;

generating second attribution group control background color information according to the attribution group estimated information;

and determining the background color information of the second home group control and the home group control style as home group control information.

6. The method of claim 1, wherein the grid infrastructure service early warning page further comprises an early warning summary control; and

the method further comprises the steps of:

responding to the fact that the executing node identification is a preset closing node identification, and the node executing type meets the preset type condition, and storing the power grid infrastructure service basic information into an overdue power grid infrastructure service basic information database;

in response to detecting a selection operation of an early warning summarization control included in the early warning page of the grid infrastructure service, determining the number of each overdue grid infrastructure service basic information in the overdue grid infrastructure service basic information database as the overdue number of the grid infrastructure service;

and displaying overdue quantity of the grid infrastructure service in the grid infrastructure service early warning page.

7. The method of claim 1, wherein the completed node information in the completed node information set includes a node completion date; and

the correcting process is carried out on the estimated power grid infrastructure service node time information group according to the completed node information set and the preset power grid infrastructure service node identification sequence to obtain a corrected power grid infrastructure service node time information group, and the correcting process comprises the following steps:

determining each preset power grid infrastructure service node identifier meeting a first preset sub-condition in the preset power grid infrastructure service node identifier sequence as a completed power grid infrastructure service node identifier sequence;

for each completed grid-infrastructure service node identifier included in the completed grid-infrastructure service node identifier sequence, performing the following steps:

determining the completed node information corresponding to the completed grid infrastructure service node identifier in the completed node information set as target completed node information;

determining the node completion date included in the target completed node information as corrected grid infrastructure service node time information;

acquiring execution progress information corresponding to the execution node identifier;

Determining the time length to be completed information corresponding to the execution node identification according to the execution progress information;

determining the time information of the corrected power grid infrastructure service node corresponding to the execution node identification according to the current time and the to-be-completed time length information;

determining each preset power grid infrastructure service node identifier meeting a second preset secondary condition in the preset power grid infrastructure service node identifier sequence as a power grid infrastructure service node identifier sequence to be completed;

executing the following steps for each to-be-completed power grid infrastructure service node identifier included in the to-be-completed power grid infrastructure service node identifier sequence:

determining an upper node identifier of the to-be-completed power grid infrastructure service node identifier according to the preset power grid infrastructure service node identifier sequence and the to-be-completed power grid infrastructure service node identifier;

determining the interval duration of the corrected power grid infrastructure service node time information corresponding to the upper node identifier and the estimated power grid infrastructure service node time information corresponding to the upper node identifier as a target interval duration;

inputting the power grid infrastructure service type, the power grid infrastructure service node identification to be completed and the target interval duration into a pre-trained estimated node completion interval duration information generation model to obtain estimated node completion interval duration information;

Determining estimated grid construction service node time information corresponding to the to-be-completed grid construction service node identification in the estimated grid construction service node time information group as to-be-repaired positive grid construction service node time information;

determining the sum of the estimated node completion interval duration information and the to-be-repaired positive grid construction service node time information as corrected grid construction service node time information corresponding to the to-be-completed grid construction service node identification;

and determining the determined time information of each corrected power grid infrastructure service node as a corrected power grid infrastructure service node time information group.

8. An updated grid infrastructure service node information display device, comprising:

the system comprises an acquisition unit, a control unit and a control unit, wherein the acquisition unit is configured to acquire grid infrastructure service basic information and execution node information corresponding to the grid infrastructure service basic information, the grid infrastructure service basic information comprises a grid infrastructure service starting date and a grid infrastructure service type, the grid infrastructure service starting date is the date of starting execution of the grid infrastructure service, the grid infrastructure service type is the type corresponding to the grid infrastructure service, the execution node information comprises a completed node information set and an execution node identifier, the execution node identifier is an identifier of a grid infrastructure service node which is currently executed at the current time, and the grid infrastructure service node is a node for segmented execution of the grid infrastructure service;

A first determining unit configured to determine, according to the grid infrastructure service type and the grid infrastructure service start date, a grid infrastructure service node interval duration sequence corresponding to a preset grid infrastructure service node identification sequence, where the preset grid infrastructure service node identification sequence is a preset sequence in which each grid infrastructure service node identification of each grid infrastructure service node corresponding to the grid infrastructure service basic information is arranged according to an execution sequence of the grid infrastructure service nodes, and determining, according to the grid infrastructure service type and the grid infrastructure service start date, a grid infrastructure service node interval duration sequence corresponding to the preset grid infrastructure service node identification sequence includes:

the first generation unit is configured to generate an estimated grid infrastructure service node time information group corresponding to the preset grid infrastructure service node identification sequence according to the grid infrastructure service start date and the grid infrastructure service node interval duration sequence;

the second determining unit is configured to determine estimated grid infrastructure service node time information corresponding to the execution node identifier in the estimated grid infrastructure service node time information group as target estimated grid infrastructure service node time information;

the second generation unit is configured to generate a node execution type according to the current time and the target estimated grid infrastructure service node time information;

The correction unit is configured to respond to the fact that the node execution type meets the preset type condition, and correct the estimated power grid infrastructure service node time information set according to the completed node information set and the preset power grid infrastructure service node identification sequence to obtain a corrected power grid infrastructure service node time information set;

the third determining unit is configured to determine the preset power grid infrastructure service node identification sequence, the estimated power grid infrastructure service node time information group and the corrected power grid infrastructure service node time information group as updated power grid infrastructure service node information;

and the display unit is configured to display the updated grid infrastructure service node information in a grid infrastructure service early warning page.

9. An electronic device, comprising:

one or more processors;

a storage device having one or more programs stored thereon,

when executed by the one or more processors, causes the one or more processors to implement the method of any of claims 1-7.

10. A computer readable medium having stored thereon a computer program, wherein the computer program, when executed by a processor, implements the method of any of claims 1-7.