Power grid construction scheme determination method and device, computer equipment and storage medium

Abstract

The invention relates to a power grid construction scheme determination method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring current construction data of a power grid project under the condition of executing a current power grid construction scheme; inputting the current construction data into the construction progress prediction model to obtain predicted progress data of the power grid project; under the condition that the predicted progress data is smaller than the standard progress data, obtaining at least one initial power grid construction scheme of the power grid project; for each initial power grid construction scheme, determining a scheme evaluation value of the initial power grid construction scheme according to the scheme content, the prediction progress data and the standard progress data of the initial power grid construction scheme; and determining a target power grid construction scheme of the power grid project according to the scheme evaluation value of the initial power grid construction scheme. By the adoption of the method, the construction efficiency can be improved to the maximum extent, and waste and unnecessary cost expenditure are avoided.

Description

Technical Field

[0001] The present application relates to the field of computer technologies, and particularly to a method, apparatus, computer device, and storage medium for determining a power grid construction plan. Background Art

[0002] With the continuous increase in power grid construction and maintenance projects, the management and coordination of construction sites face huge challenges.

[0003] Currently, with the rapid development of technologies such as Internet of Things technology, artificial intelligence, and big data, the application of intelligent control systems has gradually penetrated into all walks of life. However, in the field of power grid construction, there are still problems such as low efficiency, information lag, resource waste, improper personnel allocation, and potential safety hazards when facing complex and changeable construction environments. Especially during the power grid construction process, the construction progress and resource scheduling directly affect the project duration and quality. Environmental factors, equipment status, personnel operation efficiency, material supply, etc. at the construction site may all affect the construction progress, and these factors are often dynamically changing. Therefore, there is an urgent need for a method that can accurately determine the power grid construction plan. Summary of the Invention

[0004] Based on this, in view of the above technical problems, it is necessary to provide a method, apparatus, computer device, and storage medium for determining a power grid construction plan that can accurately determine the power grid construction plan.

[0005] In a first aspect, the present application provides a method for determining a power grid construction plan, including:

[0006] Obtaining current construction data of a power grid project when executing the current power grid construction plan;

[0007] Inputting the current construction data into a construction progress prediction model to obtain predicted progress data of the power grid project;

[0008] When the predicted progress data is less than the standard progress data, obtaining at least one initial power grid construction plan for the power grid project;

[0009] For each initial power grid construction plan, determining a plan evaluation value of the initial power grid construction plan according to the plan content, predicted progress data, and standard progress data of the initial power grid construction plan;

[0010] Determining a target power grid construction plan for the power grid project according to the plan evaluation value of the initial power grid construction plan.

[0011] In one embodiment, determining a plan evaluation value of the initial power grid construction plan according to the plan content, predicted progress data, and standard progress data of the initial power grid construction plan includes:

[0012] According to the content of the initial power grid construction plan, determine the resource utilization rate, resource load degree, and plan risk value of the initial power grid construction plan; and,

[0013] Take the difference between the predicted progress data and the standard progress data as the construction progress difference;

[0014] According to the resource utilization rate, resource load degree, plan risk value, and construction progress difference, determine the plan evaluation value of the initial power grid construction plan.

[0015] In one embodiment, according to the plan evaluation value of the initial power grid construction plan, determine the target power grid construction plan for the power grid project, including:

[0016] Select the initial power grid construction plan with the largest plan evaluation value from each initial power grid construction plan as the first power grid construction plan;

[0017] For each iteration, perform mutation processing on the first power grid construction plan to obtain a second power grid construction plan;

[0018] Determine the plan evaluation value of the second power grid construction plan;

[0019] Select the power grid construction plan with the larger plan evaluation value between the first power grid construction plan and the second power grid construction plan as the first power grid construction plan until the number of iterations reaches the preset threshold;

[0020] Determine the first power grid construction plan obtained in the last iteration process as the target power grid construction plan for the power grid project.

[0021] In one embodiment, the method further includes:

[0022] Obtain the concentration of harmful gases sent by the gas sensor; the gas sensor is installed at the construction site where the power grid project is located;

[0023] When the concentration of harmful gases is greater than the preset first concentration threshold and less than the preset second concentration threshold, output an alarm that there are low-concentration harmful gases at the construction site where the power grid project is located;

[0024] When the concentration of harmful gases is not less than the preset second concentration threshold and less than the preset third concentration threshold, output an alarm that there are medium-concentration harmful gases at the construction site where the power grid project is located;

[0025] When the concentration of harmful gases is not less than the preset third concentration threshold, output an alarm that there are high-concentration harmful gases at the construction site where the power grid project is located;

[0026] Wherein, the first concentration threshold is less than the second concentration threshold; the second concentration threshold is less than the third concentration threshold.

[0027] In one embodiment, the method further includes:

[0028] Obtaining the equipment operation parameters of the engineering equipment at the construction site where the power grid project is located;

[0029] When the equipment operation parameters exceed the preset parameter threshold, outputting a low-risk equipment operation anomaly alarm;

[0030] Obtaining the alarm output duration of the low-risk equipment operation anomaly alarm;

[0031] When the alarm output duration is greater than the preset duration threshold, outputting a high-risk equipment operation anomaly alarm.

[0032] In one embodiment, the method further includes:

[0033] Displaying a power grid project alarm pop-up window and engineering-related charts in the visualization display interface;

[0034] Among them, the alarm pop-up window includes a harmful gas alarm pop-up window and an equipment anomaly alarm pop-up window; the engineering-related charts include a construction data monitoring chart, a construction progress chart, a scheme flow chart, and a resource allocation chart; the construction data monitoring chart is generated based on the current construction data; the construction progress chart is generated based on the predicted progress data and the standard progress data; the scheme flow chart and the resource allocation chart are generated based on the scheme content of the target power grid construction scheme; the harmful gas alarm pop-up window is generated based on the corresponding concentration harmful gas alarm; the equipment anomaly alarm pop-up window is generated based on the corresponding risk equipment operation anomaly alarm.

[0035] In a second aspect, the present application further provides a device for determining a power grid construction scheme, including:

[0036] A data acquisition module, configured to obtain the current construction data of the power grid project when executing the current power grid construction scheme;

[0037] A progress prediction module, configured to input the current construction data into a construction progress prediction model to obtain the predicted progress data of the power grid project;

[0038] A scheme acquisition module, configured to obtain at least one initial power grid construction scheme of the power grid project when the predicted progress data is less than the standard progress data;

[0039] A scheme evaluation module, configured to determine the scheme evaluation value of each initial power grid construction scheme according to the scheme content, the predicted progress data, and the standard progress data of the initial power grid construction scheme;

[0040] A scheme determination module, configured to determine the target power grid construction scheme of the power grid project according to the scheme evaluation value of the initial power grid construction scheme.

[0041] In a third aspect, the present application further provides a computer device, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0042] Obtain the current construction data of the power grid project when executing the current power grid construction plan;

[0043] Input the current construction data into the construction progress prediction model to obtain the predicted progress data of the power grid project;

[0044] When the predicted progress data is less than the standard progress data, obtain at least one initial power grid construction plan for the power grid project;

[0045] For each initial power grid construction plan, determine the plan evaluation value of the initial power grid construction plan according to the plan content, predicted progress data, and standard progress data of the initial power grid construction plan;

[0046] Determine the target power grid construction plan for the power grid project according to the plan evaluation value of the initial power grid construction plan.

[0047] In a fourth aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0048] Obtain the current construction data of the power grid project when executing the current power grid construction plan;

[0049] Input the current construction data into the construction progress prediction model to obtain the predicted progress data of the power grid project;

[0050] When the predicted progress data is less than the standard progress data, obtain at least one initial power grid construction plan for the power grid project;

[0051] For each initial power grid construction plan, determine the plan evaluation value of the initial power grid construction plan according to the plan content, predicted progress data, and standard progress data of the initial power grid construction plan;

[0052] Determine the target power grid construction plan for the power grid project according to the plan evaluation value of the initial power grid construction plan.

[0053] In a fifth aspect, the present application further provides a computer program product, including a computer program. When the computer program is executed by a processor, the following steps are implemented:

[0054] Obtain the current construction data of the power grid project when executing the current power grid construction plan;

[0055] Input the current construction data into the construction progress prediction model to obtain the predicted progress data of the power grid project;

[0056] In the case where the predicted progress data is less than the standard progress data, obtain at least one initial power grid construction plan for the power grid project;

[0057] For each initial power grid construction plan, determine the plan evaluation value of the initial power grid construction plan according to the plan content, predicted progress data, and standard progress data of the initial power grid construction plan;

[0058] Determine the target power grid construction plan for the power grid project according to the plan evaluation value of the initial power grid construction plan.

[0059] The above power grid construction plan determination method, device, computer device, and storage medium, when executing the current power grid construction plan, obtain the current construction data of the power grid project; input the current construction data into the construction progress prediction model to obtain the predicted progress data of the power grid project; in the case where the predicted progress data is less than the standard progress data, obtain at least one initial power grid construction plan for the power grid project; for each initial power grid construction plan, determine the plan evaluation value of the initial power grid construction plan according to the plan content, predicted progress data, and standard progress data of the initial power grid construction plan; determine the target power grid construction plan for the power grid project according to the plan evaluation value of the initial power grid construction plan. In this embodiment, the predicted progress data of the power grid project is predicted through the current construction data, which can identify and handle possible construction delays and other risks earlier, thereby reducing the uncertainty during the construction process and ensuring the smooth progress of the construction according to the plan. At the same time, by dynamically adjusting and optimizing the determination of the target power grid construction plan according to the plan content, predicted progress data, and standard progress data of the initial power grid construction plan, it is possible to ensure the reasonable allocation of resources, reduce resource waste, and effectively respond to emergencies, thereby maximizing the construction efficiency and avoiding waste and unnecessary cost expenditures. Description of the Drawings

[0060] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following will briefly introduce the drawings required for use in the description of the embodiments or related technologies. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0061] Figure 1 It is an application environment diagram of a power grid construction plan determination method provided in this embodiment;

[0062] Figure 2 It is a flowchart of the first power grid construction plan determination method provided in this embodiment;

[0063] Figure 3 A flowchart of a harmful gas detection method provided in this embodiment;

[0064] Figure 4 A flowchart of a method for detecting and determining equipment operation parameters provided in this embodiment;

[0065] Figure 5 A structural block diagram of a power grid construction plan determination device provided in this embodiment;

[0066] Figure 6 An internal structure diagram of a computer device provided in this embodiment. Detailed implementation manners

[0067] In order to make the objectives, technical solutions and advantages of the present application more clear and understandable, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0068] The power grid construction plan determination method provided in the embodiments of the present application can be applied to an application environment as Figure 1 shown. Among them, the terminal 102 communicates with the server 104 through a network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or placed in the cloud or other network servers. When the computer device executes the current power grid construction plan, it obtains the current construction data of the power grid project; inputs the current construction data into the construction progress prediction model to obtain the predicted progress data of the power grid project; when the predicted progress data is less than the standard progress data, obtains at least one initial power grid construction plan of the power grid project; for each initial power grid construction plan, determines the plan evaluation value of the initial power grid construction plan according to the plan content, predicted progress data and standard progress data of the initial power grid construction plan; determines the target power grid construction plan of the power grid project according to the plan evaluation value of the initial power grid construction plan. Among them, the terminal 102 can be, but is not limited to, various personal computers, laptop computers, smart phones, tablet computers, Internet of Things devices and portable wearable devices. The Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart vehicle-mounted devices, etc. The portable wearable devices can be smart watches, smart bracelets, head-mounted devices, etc. The server 104 can be implemented by an independent server or a server cluster composed of multiple servers.

[0069] In an exemplary embodiment, as Figure 2 shown, a power grid construction plan determination method is provided. Taking the method applied to the Figure 1 computer device as an example, the method includes the following steps 201 to 205. Among them:

[0070] Step 201: Obtain the current construction data of the power grid project under the condition of implementing the current power grid construction plan.

[0071] Among them, the current construction data includes: environmental parameters of the construction site where the power grid project is located, the number of construction personnel, the quantity of resource usage, the construction progress of each construction task, etc.

[0072] Specifically, when the power grid project is under construction according to the current power grid construction plan, the computer device obtains the current construction data of the power grid project.

[0073] Step 202: Input the current construction data into the construction progress prediction model to obtain the predicted progress data of the power grid project.

[0074] Among them, the construction progress prediction model can be trained based on a multiple linear regression or non - linear regression model.

[0075] Specifically, the computer device inputs the current construction data into the construction progress prediction model, and the construction progress prediction model analyzes the current construction data to obtain the predicted progress data of the power grid project. It should be noted that in this embodiment, potential risk factors of the power grid project, such as resource shortage, personnel shortage, and weather impact factors, can also be identified according to the predicted progress data and the preset risk threshold, and then a factor identification report can be generated based on the risk factors.

[0076] Optionally, the training method of the construction progress prediction model can be: obtain the historical construction data collected in the past; perform pre - processing such as cleaning, normalization, and feature extraction on the historical construction data; train the construction progress prediction model according to the pre - processed historical construction data.

[0077] Step 203: When the predicted progress data is less than the standard progress data, obtain at least one initial power grid construction plan for the power grid project.

[0078] Step 204: For each initial power grid construction plan, determine the plan evaluation value of the initial power grid construction plan according to the plan content, predicted progress data, and standard progress data of the initial power grid construction plan.

[0079] In another alternative implementation, for each initial power grid construction plan, determine the index evaluation value of the initial power grid construction plan in at least one dimension according to the plan content, predicted progress data, and standard progress data of the initial power grid construction plan; determine the plan evaluation value of the initial power grid construction plan according to the weighted average of each index evaluation value and the corresponding index weight.

[0080] In one optional implementation, according to the content of the initial power grid construction plan, determine the resource utilization rate, resource load degree, and plan risk value of the initial power grid construction plan; and, take the difference between the predicted progress data and the standard progress data as the construction progress difference; according to the resource utilization rate, resource load degree, plan risk value, and construction progress difference, determine the plan evaluation value of the initial power grid construction plan.

[0081] Specifically, according to the content of the initial power grid construction plan and the current construction data, determine the resource utilization rate, resource load degree, and plan risk value of the initial power grid construction plan; according to the difference between the predicted progress data and the standard progress data, determine the construction progress difference; according to the resource utilization rate, resource load degree, plan risk value, and construction progress difference, through the following formula (1-1), determine the plan evaluation value of the initial power grid construction plan.

[0082] (1-1)

[0083] where, w 1 is the weight of the resource utilization rate, w 2 is the resource weight, w 3 is the weight of the resource load degree, w 4 is the weight of the plan risk value. The risk value i is the score of each potential risk (i.e., resource utilization rate, resource load degree, and plan risk value, etc.), and the risk is evaluated based on the status of weather, personnel, and resources. The smaller the risk value, the higher the fitness.

[0084] Furthermore, this embodiment can also integrate the preset construction progress report, predicted construction progress report, and real-time construction site data to form a unified data set; set the basic parameters of the genetic algorithm, including population size, crossover probability, mutation probability, and number of iterations, initialize the population, and each individual represents a construction plan, and then determine the fitness function of each initial construction plan (i.e., the plan evaluation value of the initial power grid construction plan), and the factors considered by this fitness function include the matching degree of construction progress and planned progress, resource utilization efficiency, workload balance of personnel and equipment, and the impact of potential risk factors.

[0085] Step 205, according to the plan evaluation value of the initial power grid construction plan, determine the target power grid construction plan for the power grid project.

[0086] In one optional implementation, according to the plan evaluation value of the initial power grid construction plan, select the initial power grid construction plan with the largest plan evaluation value from each initial power grid as the target power grid construction plan.

[0087] In another alternative implementation, the initial power grid construction plan with the largest plan evaluation value is selected from each initial power grid construction plan as the first power grid construction plan; for each iteration, the first power grid construction plan is mutated to obtain a second power grid construction plan; the plan evaluation value of the second power grid construction plan is determined; the power grid construction plan with the larger plan evaluation value in the first power grid construction plan and the second power grid construction plan is selected as the first power grid construction plan until the number of iterations reaches a preset threshold; the first power grid construction plan obtained in the last iteration process is determined as the target power grid construction plan of the power grid project.

[0088] Specifically, through selection, crossover, and mutation operations, the individuals (initial power grid construction plans) in the population (each initial power grid construction plan) are evolved to generate new construction plans, and the construction plan with the highest fitness is selected; the selected construction plan is subjected to a crossover operation to generate a new construction plan, and then the new construction plan is mutated to introduce random changes to explore a construction plan with higher fitness; the newly generated construction plan replaces some or all of the old construction plans to form a new population; the genetic operation and population update are repeated until the preset number of iterations is reached or the termination condition is met, and the construction plan with the highest current fitness is generated; the construction plan with the highest fitness is output to the visualization module and the on-site construction real-time monitoring module for real-time monitoring and construction execution, ensuring the consistency between the construction progress and the planned progress and effectively coping with potential risk factors.

[0089] For the above power grid construction plan determination method, when the current power grid construction plan is being executed, the current construction data of the power grid project is obtained; the current construction data is input into the construction progress prediction model to obtain the predicted progress data of the power grid project; when the predicted progress data is less than the standard progress data, at least one initial power grid construction plan of the power grid project is obtained; for each initial power grid construction plan, according to the plan content, predicted progress data, and standard progress data of the initial power grid construction plan, the plan evaluation value of the initial power grid construction plan is determined; according to the plan evaluation value of the initial power grid construction plan, the target power grid construction plan of the power grid project is determined. In this embodiment, the predicted progress data of the power grid project is predicted through the current construction data, which can identify and handle possible construction delays and other risks earlier, thereby reducing the uncertainty during the construction process and ensuring the smooth progress of the construction according to the plan. At the same time, by dynamically adjusting and optimizing the determination of the target power grid construction plan according to the plan content, predicted progress data, and standard progress data of the initial power grid construction plan, it is possible to ensure the reasonable allocation of resources, reduce resource waste, and effectively cope with emergencies, thereby maximizing the construction efficiency and avoiding waste and unnecessary cost expenditures.

[0090] In an exemplary embodiment, such as Figure 3As shown, a method for detecting and determining harmful gases is provided. Taking the application of this method to Figure 1 the computer device in

[0091] Step 301: Obtain the concentration of harmful gases sent by the gas sensor.

[0092] Among them, the gas sensor is installed at the construction site where the power grid project is located.

[0093] Specifically, the gas sensor collects the concentration of harmful gases in the harmful gases at the construction site where the power grid project is located, and sends the concentration of harmful gases to the computer device, and the computer device obtains the concentration of harmful gases sent by the gas sensor.

[0094] Step 302: According to the concentration of harmful gases and the preset concentration threshold, output an alarm that there are harmful gases at the construction site of the power grid project.

[0095] Specifically, when the concentration of harmful gases is greater than the preset first concentration threshold (such as 10% of the preset safety threshold) and less than the preset second concentration threshold (such as 50% of the preset safety threshold), output an alarm that there are low-concentration harmful gases at the construction site where the power grid project is located; when the concentration of harmful gases is not less than the preset second concentration threshold and less than the preset third concentration threshold (such as 100% of the preset safety threshold), output an alarm that there are medium-concentration harmful gases at the construction site where the power grid project is located; when the concentration of harmful gases is not less than the preset third concentration threshold, output an alarm that there are high-concentration harmful gases at the construction site where the power grid project is located; among them, the first concentration threshold is less than the second concentration threshold; the second concentration threshold is less than the third concentration threshold.

[0096] It should be noted that when the concentration of harmful gases is not greater than the first concentration threshold (such as 10% of the preset safety threshold), but greater than the fourth concentration threshold (such as the preset safety threshold), only a warning of the existence of harmful gases can be made. Among them, the first concentration threshold is greater than the fourth concentration threshold.

[0097] In the above embodiment, the concentration of harmful gases sent by the gas sensor is obtained, and according to the concentration of harmful gases and the preset concentration threshold, an alarm that there are harmful gases at the construction site of the power grid project is output. By monitoring the harmful gases at the construction site through the gas detection sensor, potential safety hazards such as harmful gas leakage can be detected in real time. Once an abnormality occurs, an alarm will be issued in time to remind the on-site staff to handle it, ensuring the life safety of the construction personnel and the normal operation of the construction equipment.

[0098] In an exemplary embodiment, as Figure 4 shown, a method for detecting and determining equipment operation parameters is provided. Taking the application of this method to Figure 1Taking the computer device in as an example, the following steps 401 to 404 are included. Among them:

[0099] Step 401, obtain the device operation parameters of the engineering equipment at the construction site where the power grid project is located.

[0100] Among them, the device operation parameters may include temperature, pressure, vibration, current, voltage, etc.

[0101] Specifically, by installing sensors on the engineering equipment at the construction site where the power grid project is located, the device operation parameters and device health status of the engineering equipment are detected.

[0102] Step 402, when the device operation parameters exceed the preset parameter threshold, output a low-risk device operation anomaly alarm.

[0103] Specifically, according to the device operation parameters and preset standard parameters, it is determined whether there is a risk of overloading or malfunction of the engineering equipment, and a risk assessment is carried out to determine the severity of the potential risk. When the device operation parameters exceed the preset parameter threshold, a low-risk device operation anomaly alarm is output.

[0104] Exemplarily, in this embodiment, the anomaly value or trend change of the engineering equipment can be determined through the device operation parameters and preset standard parameters; for example, the device temperature suddenly rises, the vibration amplitude increases, the current or voltage fluctuation exceeds the normal range, etc.

[0105] It should be noted that the alarm can be notified to the on-site staff for handling through audible and visual alarms, mobile device notifications or system interface pop-ups. At the same time, the detected safety risk information and handling situation can be integrated into a safety management report, and the safety management report can be recorded and stored.

[0106] Step 403, obtain the alarm output duration of the low-risk device operation anomaly alarm.

[0107] Step 404, when the alarm output duration is greater than the preset duration threshold, output a high-risk device operation anomaly alarm.

[0108] In the above embodiment, by obtaining the device operation parameters of the engineering equipment at the construction site where the power grid project is located, potential safety hazards such as equipment overloading or equipment failure can be detected in real time. Once an anomaly occurs, an alarm will be issued in a timely manner to remind the on-site staff to handle it, ensuring the life safety of the construction personnel and the normal operation of the construction equipment; in addition, timely risk identification and response can effectively reduce the potential losses caused by safety hazards and equipment failures, and reduce the construction risk.

[0109] In one embodiment, the method further includes: displaying a power grid project alert pop-up window and project-related charts in the visualization display interface.

[0110] Among them, the alert pop-up window includes a harmful gas alert pop-up window and a device anomaly alert pop-up window; the project-related charts include a construction data monitoring chart, a construction progress chart, a scheme flow chart, and a resource allocation chart; the construction data monitoring chart is generated based on the current construction data; the construction progress chart is generated based on the predicted progress data and the standard progress data; the scheme flow chart and the resource allocation chart are generated based on the scheme content of the target power grid construction scheme; the harmful gas alert pop-up window is generated based on the corresponding concentration of harmful gas alerts; the device anomaly alert pop-up window is generated based on the corresponding risk device operation anomaly alerts.

[0111] Specifically, set the graphical interface and the screen display content, including the real-time monitoring chart of the construction site data, the progress bar and chart of the construction progress report, the flow chart and resource allocation chart of the construction scheme before and after adjustment, and the alert prompt of the potential safety hazard information; through the graphical interface and the large screen, display the integrated data in real time to ensure that the construction management personnel can intuitively understand the real-time status, construction progress, and adjustment scheme of the construction site. At the same time, if potential safety hazard information is detected, give an audible and visual alarm, and pop up a window on the graphical interface and the large screen to remind the relevant staff to handle it in time. This embodiment can also provide a user interaction function, allowing the construction management personnel to query data, view reports, and adjust the scheme clearly through the graphical interface; ensure the timely transmission of information and the rapid execution of decisions.

[0112] In the above embodiment, by displaying the construction site data, the construction progress report, and the construction scheme before and after adjustment through the graphical interface and the large screen, it enables the management personnel, construction personnel, and relevant personnel to intuitively understand the real-time situation and changes of the construction site, improves the transparency of construction management, and also helps all parties to better coordinate and cooperate. In addition, when the safety management module detects potential safety hazards, it promptly gives an alarm and pops up a reminder window, further improving the safety management level of the construction site.

[0113] It should be understood that although the steps in the flowcharts involved in the above-described embodiments are sequentially shown according to the indications of the arrows, these steps are not necessarily executed sequentially in the order indicated by the arrows. Unless there is a clear description in this article, there is no strict order limit for the execution of these steps, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-described embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be executed alternately or in turn with at least a part of other steps or steps or stages in other steps.

[0114] Based on the same inventive concept, an embodiment of the present application also provides a power grid construction plan determination device for implementing the power grid construction plan determination method described above. The solution provided by this device to solve the problem is similar to the solution described in the above method. Therefore, the specific limitations in one or more embodiments of the power grid construction plan determination device provided below can refer to the limitations on the power grid construction plan determination method in the above text, and will not be repeated here.

[0115] In an exemplary embodiment, as Figure 5 shown, a power grid construction plan determination device is provided, including: a data acquisition module 10, a progress prediction module 11, a plan acquisition module 12, a plan evaluation module 13, and a plan determination module 14, where:

[0116] The data acquisition module 10 is used to acquire the current construction data of the power grid project when the current power grid construction plan is executed;

[0117] The progress prediction module 11 is used to input the current construction data into the construction progress prediction model to obtain the predicted progress data of the power grid project;

[0118] The plan acquisition module 12 is used to acquire at least one initial power grid construction plan of the power grid project when the predicted progress data is less than the standard progress data;

[0119] The plan evaluation module 13 is used to determine the plan evaluation value of each initial power grid construction plan according to the plan content, predicted progress data, and standard progress data of the initial power grid construction plan;

[0120] The plan determination module 14 is used to determine the target power grid construction plan of the power grid project according to the plan evaluation value of the initial power grid construction plan.

[0121] In some embodiments, the solution evaluation module 13 is further configured to determine the resource utilization rate, resource load level, and solution risk value of the initial power grid construction solution according to the solution content of the initial power grid construction solution; and use the difference between the predicted progress data and the standard progress data as the construction progress difference; determine the solution evaluation value of the initial power grid construction solution according to the resource utilization rate, resource load level, solution risk value, and construction progress difference.

[0122] In some embodiments, the solution determination module 14 is further configured to determine the target power grid construction solution for the power grid project according to the solution evaluation value of the initial power grid construction solution, including: selecting the initial power grid construction solution with the largest solution evaluation value from each initial power grid construction solution as the first power grid construction solution; for each iteration, performing a mutation process on the first power grid construction solution to obtain a second power grid construction solution; determining the solution evaluation value of the second power grid construction solution; selecting the power grid construction solution with the larger solution evaluation value between the first power grid construction solution and the second power grid construction solution as the first power grid construction solution until the number of iterations reaches a preset threshold; determining the first power grid construction solution obtained in the last iteration process as the target power grid construction solution for the power grid project.

[0123] In some embodiments, the power grid construction solution determination device further includes:

[0124] A gas detection module, configured to obtain the concentration of harmful gases sent by a gas sensor; the gas sensor is installed at the construction site where the power grid project is located; when the concentration of harmful gases is greater than a preset first concentration threshold and less than a preset second concentration threshold, output an alarm indicating that there are low-concentration harmful gases at the construction site where the power grid project is located; when the concentration of harmful gases is not less than the preset second concentration threshold and less than a preset third concentration threshold, output an alarm indicating that there are medium-concentration harmful gases at the construction site where the power grid project is located; when the concentration of harmful gases is not less than the preset third concentration threshold, output an alarm indicating that there are high-concentration harmful gases at the construction site where the power grid project is located; wherein, the first concentration threshold is less than the second concentration threshold; the second concentration threshold is less than the third concentration threshold.

[0125] In some embodiments, the power grid construction solution determination device further includes:

[0126] An equipment detection module, configured to obtain the equipment operation parameters of the engineering equipment at the construction site where the power grid project is located; when the equipment operation parameters exceed the preset parameter threshold, output a low-risk equipment operation abnormality alarm; obtain the alarm output duration of the low-risk equipment operation abnormality alarm; when the alarm output duration is greater than the preset duration threshold, output a high-risk equipment operation abnormality alarm.

[0127] In some embodiments, the power grid construction solution determination device further includes:

[0128] A chart display module for displaying a power grid project alert pop-up window and project-related charts in a visualization display interface; wherein, the alert pop-up window includes a harmful gas alert pop-up window and a device anomaly alert pop-up window; the project-related charts include a construction data monitoring chart, a construction progress chart, a scheme flow chart, and a resource allocation chart; the construction data monitoring chart is generated based on current construction data; the construction progress chart is generated based on predicted progress data and standard progress data; the scheme flow chart and the resource allocation chart are generated based on the scheme content of the target power grid construction scheme; the harmful gas alert pop-up window is generated based on a harmful gas alert of a corresponding concentration; the device anomaly alert pop-up window is generated based on an operation anomaly alert of a corresponding risk device.

[0129] Each module in the above power grid construction scheme determination device can be implemented in whole or in part by software, hardware, and their combination. Each of the above modules can be embedded in or independent of a processor in a computer device in the form of hardware, or stored in a memory in the computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0130] In an exemplary embodiment, a computer device is provided. The computer device can be a server, and its internal structure diagram can be as Figure 6 shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O), and a communication interface. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, it implements a method for determining a power grid construction scheme.

[0131] Those skilled in the art can understand that Figure 6 the structure shown in

[0132] In one embodiment, a computer device is further provided, which includes a memory and a processor. A computer program is stored in the memory, and when the processor executes the computer program, the steps in the above-mentioned method embodiments are implemented.

[0133] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0134] In one embodiment, a computer program product is provided, which includes a computer program. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0135] It should be noted that the data involved in this application (including but not limited to data for analysis, stored data, displayed data, etc.) are all information and data authorized by users or fully authorized by all parties, and the collection, use, and processing of relevant data need to comply with relevant regulations.

[0136] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memories. Non-volatile memories can include read-only memory (ROM), magnetic tapes, floppy disks, flash memories, optical memories, high-density embedded non-volatile memories, resistive random access memories (ReRAM), magnetoresistive random access memories (MRAM), ferroelectric random access memories (FRAM), phase change memories (PCM), graphene memories, etc. Volatile memories can include random access memory (RAM) or external cache memories, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The databases involved in the embodiments provided in the present application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in the present application can be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, data processing logics based on quantum computing, etc., without limitation.

[0137] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in this specification.

[0138] The above-described embodiments merely represent several implementation manners of the present application. The description is relatively specific and detailed, but it should not be construed as a limitation on the patent scope of the present application. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. A method for determining a power grid construction plan, characterized in that: The method comprises: Under the condition of executing the current power grid construction plan, obtaining the current construction data of the power grid project; Inputting the current construction data into a construction progress prediction model to obtain predicted progress data of the power grid project; When the predicted progress data is less than the standard progress data, obtaining at least one initial power grid construction plan for the power grid project; For each initial power grid construction plan, determining a plan evaluation value of the initial power grid construction plan according to the plan content of the initial power grid construction plan, the predicted progress data and the standard progress data; According to the scheme evaluation value of the initial power grid construction scheme, a target power grid construction scheme of the power grid project is determined.

2. The method according to claim 1, characterized in that Determining the scheme evaluation value of the initial power grid construction scheme according to the scheme content of the initial power grid construction scheme, the predicted progress data and the standard progress data comprises: Determining the resource utilization rate, resource load and scheme risk value of the initial power grid construction scheme according to the scheme content of the initial power grid construction scheme; and, Taking the difference between the predicted progress data and the standard progress data as the construction progress difference; The scheme evaluation value of the initial power grid construction scheme is determined according to the resource utilization rate, the resource load degree, the scheme risk value and the construction progress difference.

3. The method according to claim 1, characterized in that Determining a target power grid construction plan for the power grid project according to the plan evaluation value of the initial power grid construction plan includes: Selecting an initial power grid construction plan with the largest plan evaluation value from each initial power grid construction plan as the first power grid construction plan; For each iteration, the first power grid construction plan is mutated to obtain a second power grid construction plan; Determining a scheme evaluation value of the second power grid construction scheme; Selecting a power grid construction scheme with a larger scheme evaluation value from among the first power grid construction scheme and the second power grid construction scheme as the first power grid construction scheme until the number of iterations reaches a preset threshold; The first power grid construction plan obtained in the last iteration process is determined as the target power grid construction plan of the power grid project.

4. The method according to claim 1, characterized in that: The method further comprises: Acquiring the concentration of harmful gases sent by a gas sensor; the gas sensor is installed at the construction site of the power grid project; When the concentration of the harmful gas is greater than a preset first concentration threshold and less than a preset second concentration threshold, outputting an alarm indicating that a low concentration of harmful gas exists at the construction site of the power grid project; When the concentration of the harmful gas is not less than the preset second concentration threshold and less than the preset third concentration threshold, outputting an alarm indicating that a medium-concentration harmful gas exists at the construction site of the power grid project; When the concentration of the harmful gas is not less than a preset third concentration threshold, outputting an alarm indicating that a high concentration of harmful gas exists at the construction site of the power grid project; Among them, the first concentration threshold is smaller than the second concentration threshold; the second concentration threshold is smaller than the third concentration threshold.

5. The method according to claim 1, characterized in that The method further comprises: Obtaining equipment operating parameters of engineering equipment at the construction site where the power grid project is located; When the equipment operation parameters exceed the preset parameter threshold, output a low-risk equipment operation abnormality alarm; Obtaining the alarm output duration of the low-risk equipment operation abnormality alarm; When the alarm output duration is greater than a preset duration threshold, a high-risk equipment operation abnormality alarm is output.

6. The method according to claim 1, characterized in that The method further comprises: Displaying the power grid project alarm pop-up window and project-related charts in a visual display interface; Among them, the alarm pop-up window includes a harmful gas alarm pop-up window and an equipment abnormality alarm pop-up window; the project-related charts include a construction data monitoring chart, a construction progress chart, a scheme flow chart and a resource allocation chart; the construction data monitoring chart is generated based on the current construction data; the construction progress chart is generated based on the predicted progress data and the standard progress data; the scheme flow chart and the resource allocation chart are generated based on the scheme content of the target power grid construction plan; the harmful gas alarm pop-up window is generated based on the corresponding concentration harmful gas alarm; the equipment abnormality alarm pop-up window is generated based on the corresponding risk equipment operation abnormality alarm.

7. A device for determining a power grid construction plan, characterized in that: The device comprises: A data acquisition module is used to acquire current construction data of the power grid project while executing the current power grid construction plan; A progress prediction module, used for inputting the current construction data into a construction progress prediction model to obtain predicted progress data of the power grid project; A scheme acquisition module, used for acquiring at least one initial power grid construction scheme of the power grid project when the predicted progress data is less than the standard progress data; A scheme evaluation module, for determining, for each initial power grid construction scheme, a scheme evaluation value of the initial power grid construction scheme according to the scheme content of the initial power grid construction scheme, the predicted progress data and the standard progress data; The scheme determination module is used to determine the target power grid construction scheme of the power grid project according to the scheme evaluation value of the initial power grid construction scheme.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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