Construction electricity cost management risk identification method, electronic device and storage medium

Abstract

The application provides a construction electricity cost management risk identification method, an electronic device and a storage medium. The construction stage includes a construction progress stage. The method comprises the following steps: obtaining electricity data of the construction progress stage, wherein the electricity data comprises daily average electricity consumption and electricity duration; determining the magnitude of the daily average electricity consumption deviating from a preset daily electricity consumption interval and the magnitude of the electricity duration deviating from a preset electricity duration interval based on the daily average electricity consumption and the electricity duration; in response to determining that the magnitude of the daily average electricity consumption of the construction progress stage deviating from the preset daily electricity consumption interval is greater than or equal to a preset electricity magnitude, and the magnitude of the electricity duration deviating from the preset electricity duration interval is greater than or equal to a preset duration magnitude, it is preliminarily determined that the construction progress stage has an electricity undercharge risk. The method in the application solves the problem of insufficient undercharge risk identification and early warning capability in the construction electricity management scenario.

Description

Technical Field

[0001] This application relates to the field of electricity risk identification technology, and in particular to a method, electronic device and storage medium for identifying risks in construction electricity cost management. Background Technology

[0002] In current construction power management scenarios, while existing technologies can collect basic power consumption data, they lack the ability to dynamically analyze power consumption trends. Power supply companies often cannot comprehensively and promptly monitor users' actual power consumption behavior, resulting in insufficient risk identification and early warning capabilities. Under these circumstances, phenomena such as arrears and evasion of payments occur frequently, and there is considerable uncertainty in electricity fee collection, causing unnecessary economic losses to power supply companies. Summary of the Invention

[0003] In view of this, the purpose of this application is to propose a risk identification method for construction electricity cost management, so as to solve the problem that in the current construction electricity management scenario, it is impossible to comprehensively and timely monitor the actual electricity consumption behavior of users, resulting in insufficient risk identification and early warning capabilities.

[0004] To achieve the above objectives, this application provides a method for identifying risks in construction electricity cost management, characterized in that the construction phase includes a construction execution phase, and the method includes:

[0005] Obtain electricity consumption data during the construction phase, wherein the electricity consumption data includes average daily electricity consumption and electricity consumption duration; Based on the average daily electricity consumption and electricity usage duration, the deviation of the average daily electricity consumption from the preset daily electricity consumption range and the deviation of the electricity usage duration from the preset electricity usage duration range during the construction phase are determined. In response to the determination that the average daily electricity consumption during the construction phase deviates from the preset daily electricity consumption range by a margin greater than or equal to the preset electricity consumption range, and the electricity consumption duration deviates from the preset electricity consumption duration range by a margin greater than or equal to the preset duration range, it is preliminarily determined that there is a risk of electricity arrears during the construction phase.

[0006] Optionally, the construction phase further includes a construction completion phase, and the method further includes: Obtain electricity consumption data during the construction completion phase, including daily electricity consumption and application time data for converting temporary electricity consumption to formal electricity consumption; Based on the daily electricity consumption, the daily electricity consumption attenuation rate is determined, wherein the daily electricity consumption attenuation rate is the percentage decrease in the current daily electricity consumption relative to the average daily electricity consumption during the previous stable electricity consumption period; Based on the various daily electricity consumption attenuation rates, the fluctuation value of the daily electricity consumption attenuation rate is determined; In response to the determination that the daily electricity consumption attenuation during the construction completion phase is greater than or equal to the preset electricity consumption attenuation range, and that no application for conversion from temporary to formal electricity use has been submitted within the preset number of days following the attenuation, and the fluctuation value of the daily electricity consumption attenuation range is less than or equal to the preset daily electricity consumption attenuation range fluctuation value, it is preliminarily determined that there is a risk of electricity arrears during the construction completion phase.

[0007] Optionally, obtaining the electricity consumption data during the construction phase includes: Obtain electricity consumption data for the current and previous periods during the construction phase, wherein the electricity consumption data for the current and previous periods both include daily electricity consumption for multiple consecutive days; The method further includes: The average daily electricity consumption for the previous period is determined based on the daily electricity consumption of multiple consecutive days in the previous period. Based on the average daily electricity consumption of the previous period and the daily electricity consumption of multiple consecutive days in the current period, determine the variation range of daily electricity consumption of multiple consecutive days in the current period. In response to determining that there is a daily electricity consumption change range greater than or equal to a preset daily electricity consumption change range within the current time period, and the duration is greater than or equal to a preset duration, it is further determined whether the daily electricity consumption change range is within a preset electricity consumption change range, wherein the value within the preset electricity consumption change range is greater than the preset daily electricity consumption change range. In response to determining that the daily electricity consumption change range is within the preset electricity consumption change range and the first duration is greater than or equal to the preset maintenance duration, the current stage is determined to be the pouring stage of the construction process, and there is no risk of arrears. The first duration is the duration during which the changed electricity consumption is maintained at or greater than the preset electricity consumption.

[0008] Optionally, the method further includes: In response to determining that the daily electricity consumption change is not within the preset electricity consumption change range, or that the daily electricity consumption change is within the preset electricity consumption change range and the duration of the changed electricity consumption is less than the preset duration, it is determined whether there is a staged change in the daily electricity consumption change during the current period. In response to the determination that the daily electricity consumption changes in the current period are in stages, and the daily electricity consumption after the stage changes is stable within the preset stable electricity consumption range and meets the first preset electricity consumption conditions, it is determined that the current stage is the stage of large equipment entering the site during the construction process, and there is no risk of abnormal electricity consumption. The first preset power consumption condition is that power consumption is highest in the morning and lowest in the evening.

[0009] Optionally, the method further includes: In response to determining that the daily electricity consumption for the current period meets the first judgment condition, the second judgment condition is executed, wherein the first judgment condition includes at least one of the following: The daily electricity consumption fluctuations during the current period do not exhibit a phased change. The daily electricity consumption fluctuates in stages during the current period, and the daily electricity consumption after these stages has not stabilized within the preset stable electricity consumption range. The current daily electricity consumption does not meet the first preset electricity consumption conditions; The second judgment condition includes: In the current time period, determine the target daily electricity consumption corresponding to different target days, and perform the first step for the target daily electricity consumption corresponding to each target day: determine the average daily electricity consumption for a preset number of days before the target day, so as to obtain the change range of the target daily electricity consumption relative to the average daily electricity consumption; If the result of the first step in response to determining that the target day electricity consumption for at least two consecutive target days has a change greater than a preset range, then the second judgment condition is met. In response to the determination that the target day in the current period meets the second judgment condition, and the stable duration of the changed daily electricity consumption is greater than or equal to the preset stable duration, and meets the second preset electricity consumption condition, it is determined that the current stage is the concentrated construction stage of multiple operations in the construction process stage, and there is no risk of abnormal electricity consumption. The second preset electricity consumption condition is that the electricity consumption during the daytime is greater than the electricity consumption during the nighttime.

[0010] Optionally, the method further includes: If the target day within the current time period meets the third judgment condition, it is preliminarily determined that there is a risk of abnormal electricity consumption in the current stage. The third judgment condition includes at least one of the following: The target date in the current period does not meet the second judgment condition; The target day in the current period meets the second judgment condition, and the stable duration of the changed daily electricity consumption is less than the preset stable duration; The electricity consumption on the target day during the current period does not meet the second preset electricity consumption conditions.

[0011] Optionally, obtaining the electricity consumption data during the construction phase includes: Obtain the initial power consumption data for the construction phase; The initial electricity consumption data is preprocessed, and the preprocessed initial electricity consumption data is used as the electricity consumption data during the construction phase. The preprocessing includes removing outliers and filling in missing values.

[0012] Optionally, after initially determining that there is a risk of electricity arrears during the construction phase, the process further includes: Compare the electricity consumption data during the construction phase with the electricity consumption data during the standard normal construction phase to determine the similarity between the two. If the similarity is determined to be greater than or equal to a preset similarity value, then it is determined that there is no risk of unpaid fees during this construction phase. If the similarity is determined to be less than the preset similarity value, then it is further determined that there is a risk of unpaid fees during this construction phase.

[0013] Based on the same inventive concept, this disclosure also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable by the processor, wherein the processor implements the method described above when executing the computer program.

[0014] Based on the same inventive concept, this disclosure also provides a non-transitory computer-readable storage medium that stores computer instructions for causing a computer to perform the method described above.

[0015] As can be seen from the above, the construction electricity cost management risk identification method provided in this application includes: acquiring electricity consumption data during the construction phase, wherein the electricity consumption data includes average daily electricity consumption and electricity consumption duration; based on the average daily electricity consumption and the electricity consumption duration, determining the deviation of the average daily electricity consumption from a preset daily electricity consumption range and the deviation of the electricity consumption duration from a preset electricity consumption duration range during the construction phase; in response to determining that the deviation of the average daily electricity consumption from the preset daily electricity consumption range during the construction phase is greater than or equal to a preset electricity consumption range, and the deviation of the electricity consumption duration from the preset electricity consumption duration range is greater than or equal to a preset duration range, then it is preliminarily determined that there is a risk of electricity arrears during the construction phase. This method, by acquiring the average daily electricity consumption and electricity consumption duration during the construction phase and comparing them with preset standard ranges (preset daily electricity consumption range and preset electricity consumption duration range), can effectively capture changes in electricity consumption patterns caused by abnormal construction progress by measuring the deviation from the preset standard ranges. When the average daily electricity consumption and duration of electricity use during the construction phase both deviate from the preset standard range by more than the preset amount, it usually indicates a significant slowdown in the construction pace and a marked decrease in on-site work. These situations are often important precursors to the risk of unpaid bills. By identifying such anomalies, power supply companies can promptly discover potential users with outstanding bills, significantly improving the timeliness and accuracy of identifying the risk of unpaid bills for temporary construction electricity use. This allows for the implementation of targeted risk prevention and early warning measures in advance, helping to reduce the uncertainty of electricity bill collection and improve the reliability and effectiveness of construction electricity cost management. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in this application or related technologies, the drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, the drawings described below are only embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This application provides a flowchart illustrating a method for identifying risks in construction electricity cost management. Figure 2 This is a schematic diagram illustrating the daily electricity consumption at each stage of the construction process, as shown in the embodiments of this application. Figure 3 This is a schematic diagram of a construction electricity cost management risk identification device according to an embodiment of this application; Figure 4 This is a schematic diagram showing the structure of an electronic device according to an embodiment of this application. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with specific embodiments and the accompanying drawings.

[0019] It should be noted that, unless otherwise defined, the technical or scientific terms used in the embodiments of this application should have the ordinary meaning understood by one of ordinary skill in the art to which this application pertains. The terms "first," "second," and similar terms used in the embodiments of this application do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Terms such as "comprising" or "including" mean that the element or object preceding the word encompasses the elements or objects listed after the word and their equivalents, without excluding other elements or objects. Terms such as "connected" or "linked" are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. Terms such as "upper," "lower," "left," and "right" are only used to indicate relative positional relationships; when the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0020] As described in the background section, while existing technologies can collect basic electricity consumption data in current construction power management scenarios, they generally lack the ability to dynamically analyze electricity consumption trends. Because data analysis methods are relatively limited, often remaining at the level of data recording and simple statistics, they cannot deeply analyze user electricity consumption patterns or determine trends, making it difficult for power supply companies to accurately identify abnormal electricity consumption behaviors and potential risks.

[0021] Furthermore, temporary construction power supply is characterized by dispersed power usage locations, high operational mobility, large load fluctuations, and complex types of electrical equipment. These factors further exacerbate the management challenges. Construction sites often change continuously with the progress of the project, and the power load fluctuates frequently accordingly, making it difficult for power supply companies to comprehensively, timely, and effectively monitor users' actual power consumption. Traditional management methods often rely on manual inspections and post-event statistics, which are not only inefficient but also prone to information delays, making it difficult to detect abnormal power consumption behavior in a timely manner, further weakening the timeliness of risk identification and early warning.

[0022] In the aforementioned circumstances, instances of unpaid or evaded electricity bills frequently occur in the management of temporary construction power supply, leading to significant uncertainty in electricity fee collection. Some users engage in malicious arrears, unauthorized capacity increases, and unauthorized wiring, disrupting normal electricity usage and causing substantial economic losses to power supply companies. Furthermore, due to the lack of effective risk assessment and precise collection mechanisms, power supply companies often invest considerable manpower and resources in collecting overdue payments, yet fail to achieve the desired results, resulting in high management costs and low efficiency.

[0023] With the deepening of power market reforms, power supply companies are facing increasingly higher demands for refined management and risk control capabilities. Improving the ability to identify and warn of risks associated with temporary electricity use not only helps reduce the risk of electricity bill collection and ensure the company's operating efficiency, but also helps to regulate the order of construction electricity use and improve overall management. Therefore, how to establish a temporary electricity use risk early warning system to achieve early identification and precise control of high-risk users who are in arrears or evade payments has become a crucial technical problem that power supply companies urgently need to solve.

[0024] To address the aforementioned issues, this application provides a method for identifying risks in construction electricity cost management.

[0025] The following is in conjunction with the appendix Figure 1-4 The embodiments in this application will be described below.

[0026] A method for identifying risks in construction electricity cost management, wherein the construction phase includes the construction process phase; like Figure 1 As shown, the method includes: S100: Obtain electricity consumption data during the construction phase, wherein the electricity consumption data includes average daily electricity consumption and electricity consumption duration; In this step, based on the construction project schedule, the entire construction process can be divided into different stages, typically including the foundation and substructure stage, the main structure stage, and the finishing stage. To accurately reflect the actual power consumption during construction, the power consumption data acquired in this step can come from various data collection devices such as smart meters, load monitoring terminals, and edge computing gateways, enabling real-time collection and periodic aggregation of temporary construction power consumption.

[0027] S101: Based on the average daily electricity consumption and electricity usage duration, determine the deviation of the average daily electricity consumption from the preset daily electricity consumption range and the deviation of the electricity usage duration from the preset electricity usage duration range during the construction phase; In this step, the preset daily electricity consumption range and preset electricity consumption duration range can be obtained through a construction phase electricity behavior analysis library. This analysis library is trained and statistically analyzed based on a large amount of historical construction project electricity consumption data, and can establish corresponding standard electricity consumption-duration data for different types of projects (such as residential buildings, commercial complexes, industrial plants, etc.). For example, in a certain analysis library, for projects such as… Figure 2 The construction project shown includes the foundation and substructure stage, the main structure stage, and the decoration stage. The corresponding preset daily average electricity consumption range is set to 700–1400 kWh, and the preset electricity consumption duration range is set to 500–700 days. These standard ranges are all pre-stored in the analysis library for the system to directly call and compare when performing anomaly detection.

[0028] The actual daily average electricity consumption and actual electricity consumption duration during the current construction phase are compared with the corresponding standard ranges to calculate the deviation. For example, if the standard daily average electricity consumption range for a certain construction phase is 700–1400 kWh, while the actual daily average electricity consumption during the current phase is 450 kWh, then the deviation is (700-450) / 700 = 35.7%. Similarly, if the standard duration for this phase is 500-700 days, while the actual duration of the current phase is only 300 days, then the deviation is (500-300) / 500 = 40%. By quantifying the deviation, it is possible to objectively assess whether the current electricity consumption behavior is abnormal.

[0029] S102: In response to determining that the average daily electricity consumption during the construction phase deviates from the preset daily electricity consumption range by a margin greater than or equal to the preset electricity consumption range, and the electricity consumption duration deviates from the preset electricity consumption duration range by a margin greater than or equal to the preset duration range, it is preliminarily determined that there is a risk of electricity arrears during the construction phase.

[0030] In this step, when both deviations simultaneously meet preset thresholds (e.g., both exceeding 30%), it indicates a significant difference between the electricity consumption behavior during this construction phase and the normal construction pattern. This difference often reflects abnormal construction progress, such as a sudden slowdown in construction pace, a significant reduction in on-site work, or the shutdown of major construction equipment. Further analysis reveals that such anomalies are usually highly correlated with situations such as the construction company's financial difficulties, project stoppages, and team withdrawals, which are important precursors to electricity bill arrears, evasion, or even malicious non-payment.

[0031] For example, if the average daily electricity consumption of a residential building project during its construction phase is 450 kWh, deviating from the standard range of 700–1400 kWh by more than 30%, and the actual duration of this phase is only 300 days, deviating from the standard range of 500–700 days by more than 30%, it may mean that the construction team has suspended major construction procedures, with only a small amount of power remaining for maintenance. In this case, the power supply company can preliminarily determine that the customer has an abnormal construction progress and a risk of overdue payments. It needs to further monitor the project's progress and financial situation, and promptly take measures such as prepayment reminders, on-site verification, and contract risk assessment to reduce the risk of unpaid electricity bills.

[0032] In practical applications, a systematic early warning mechanism can be established based on the above-mentioned abnormal electricity consumption behavior identification results: when the system detects that two deviations simultaneously exceed preset thresholds (e.g., both exceeding 30%), it automatically marks the construction stage as "abnormal electricity consumption behavior" and triggers the early warning process. According to the severity of the deviation, the early warning can be divided into different levels: a deviation between 30% and 50% is a Level 1 warning, indicating that the construction pace may fluctuate and subsequent trends need to be continuously monitored; a deviation between 50% and 80% is a Level 2 warning, indicating a significant decrease in workload, possibly leading to partial work stoppages or a reduction in work shifts; a deviation exceeding 80% or the abnormal state lasting for more than a certain number of days is a Level 3 warning, indicating a possible complete work stoppage on-site and a high risk of unpaid fees. The system continuously tracks the abnormal stage; if the abnormal state lasts for more than a preset period (e.g., 10 days), it automatically generates an "abnormal confirmation" and pushes it to management personnel. Management personnel can cross-verify information from multiple sources, such as on-site inspection records, construction progress plans, equipment operating status, and project fund disbursement, to quickly determine the cause of anomalies. For example, they can determine whether work stoppages are due to financial constraints or weather conditions. If work stoppages, site withdrawals, or financial pressures are confirmed, the system will automatically mark the project as a "high-risk user" and trigger corresponding risk management measures. These measures include sending reminder notifications, activating electricity bill collection plans, strengthening on-site electricity consumption monitoring, and, if necessary, implementing contractually agreed risk control measures. This allows for early intervention before outstanding payments occur, effectively reducing the possibility of delayed, evaded, or even malicious electricity bill payments.

[0033] In this embodiment, a method for identifying risks in construction electricity cost management includes: acquiring electricity consumption data during the construction phase, wherein the electricity consumption data includes average daily electricity consumption and electricity consumption duration; based on the average daily electricity consumption and electricity consumption duration, determining the deviation of the average daily electricity consumption from a preset daily electricity consumption range and the deviation of the electricity consumption duration from a preset electricity consumption duration range during the construction phase; in response to determining that the deviation of the average daily electricity consumption from the preset daily electricity consumption range during the construction phase is greater than or equal to a preset electricity consumption range, and the deviation of the electricity consumption duration from the preset electricity consumption duration range is greater than or equal to a preset duration range, then it is preliminarily determined that there is a risk of electricity arrears during the construction phase. This method, by acquiring the average daily electricity consumption and electricity consumption duration during the construction phase and comparing them with preset standard ranges (preset daily electricity consumption range and preset electricity consumption duration range), can effectively capture changes in electricity consumption patterns caused by abnormal construction progress by measuring the deviation from the preset standard ranges. When the average daily electricity consumption and duration of electricity use during the construction phase both deviate from the preset standard range by more than the preset amount, it usually indicates a significant slowdown in the construction pace and a marked decrease in on-site work. These situations are often important precursors to the risk of unpaid bills. By identifying such anomalies, power supply companies can promptly discover potential users with outstanding bills, significantly improving the timeliness and accuracy of identifying the risk of unpaid bills for temporary construction electricity use. This allows for the implementation of targeted risk prevention and early warning measures in advance, helping to reduce the uncertainty of electricity bill collection and improve the reliability and effectiveness of construction electricity cost management.

[0034] In some embodiments, the construction phase further includes a construction completion phase, and the method further includes: S200: Obtain the electricity consumption data during the construction completion phase, including daily electricity consumption and application time data for converting temporary electricity consumption to formal electricity consumption; In this step, the construction phase includes the construction in progress phase and the construction completion phase. The construction completion phase is usually a critical period for the transition from construction power consumption to formal power consumption, and its power consumption behavior exhibits a clear and consistent downward trend. The daily power consumption data obtained in this step can come from smart meters or power consumption data acquisition terminals to reflect the changing trend of the actual power load on site during the completion phase; the data on the application time for the conversion from temporary power consumption to formal power consumption comes from the power supply company's business system to determine whether the construction party is proceeding with the switch of power consumption mode according to the normal process.

[0035] S201: Based on the daily electricity consumption, determine the daily electricity consumption attenuation rate, wherein the daily electricity consumption attenuation rate is the percentage decrease in the current daily electricity consumption relative to the average daily electricity consumption in the previous stable electricity consumption phase; In this step, during the final stages of construction, on-site construction activities gradually decrease, and the electricity load typically shows a gradual downward trend. To accurately identify abnormal attenuation, this step compares the current daily electricity consumption with the average daily electricity consumption of the previous stable electricity consumption phase, calculating the percentage decrease, thus obtaining the daily electricity consumption attenuation rate. The previous stable electricity consumption phase refers to the period before the final stages of construction, during which construction activities are relatively stable, and the electricity load remains at a high level with minimal fluctuations. This phase is typically the later, more stable stage of the construction process, such as the later stages of interior decoration construction. At this time, the main equipment on-site is still running continuously, the construction pace is stable, and therefore the daily electricity consumption remains within a relatively stable range.

[0036] For example, if the average daily electricity consumption in the later stages of renovation and construction is 600 kWh, and the current daily electricity consumption has dropped to 250 kWh, then the decrease in daily electricity consumption is approximately 58.3%.

[0037] S202: Determine the fluctuation value of the daily power consumption attenuation range based on the multiple daily power consumption attenuation ranges; In this step, to determine the changes in the attenuation rate, a statistical analysis of the attenuation rate over several consecutive days is performed to calculate its fluctuation. The daily electricity consumption attenuation fluctuation value can be obtained by calculating the standard deviation, variance, or the difference between the maximum and minimum values, and is used to reflect the stability of the attenuation process. If the fluctuation value is small, it indicates that the attenuation process is stable, with no obvious recovery or fluctuation, which usually means that on-site construction activities have basically stopped.

[0038] For example, if the daily electricity consumption decreases by 58%, 65%, and 58% respectively within three days after the initial decrease during the final stages of construction, the calculation steps are as follows: First, calculate the average decrease over the three days: (58% + 65% + 58%) / 3 ≈ 60.33%; Second, calculate the squared deviation of each data point from the average: (58% - 60.33%)² ≈ 5.43, (65% - 60.33%)² ≈ 21.81, (58% - 60.33%)² ≈ 5.43; Third, calculate the average of the squared deviations (i.e., the variance): (5.43 + 21.81 + 5.43) / 3 ≈ 10.89; Fourth, calculate the square root of the variance, i.e., the standard deviation, which is 3.3%. The resulting fluctuation value is approximately 3.3%. Regardless of the calculation method used, a small fluctuation value indicates that the attenuation process is stable with no obvious recovery or fluctuation, which usually means that on-site construction activities have basically stopped.

[0039] S203: In response to determining that the daily power consumption attenuation during the construction completion phase is greater than or equal to the preset power consumption attenuation, and that no application for conversion from temporary to formal power consumption has been submitted within the preset number of days after the attenuation, and the fluctuation value of the daily power consumption attenuation is less than or equal to the preset daily power consumption attenuation fluctuation value, it is preliminarily determined that there is a risk of electricity arrears during the construction completion phase.

[0040] In this step, during the final stage of the construction project, as finishing processes such as decoration and electromechanical commissioning are gradually completed, large construction equipment (such as tower cranes and mixers) will be gradually taken out of use, and the frequency of use of small auxiliary equipment will also be greatly reduced, resulting in a reasonable trend of gradual decline in power load. Before the on-site construction power demand is basically exhausted, the construction party will take the initiative to submit an application to the power supply company to switch from temporary power to permanent power. When submitting the application, relevant documents must be filed and on-site survey appointments must be made simultaneously. After the power supply company completes the review and on-site acceptance, both parties will cooperate to complete the connection of the permanent power line and the dismantling of the temporary power line, ultimately achieving a smooth switch of power supply mode.

[0041] Therefore, if, during the final stage of construction, the daily electricity consumption decreases by a factor greater than or equal to a preset decrease (e.g., 50%), and no application to convert temporary electricity consumption to permanent electricity consumption is submitted within a preset number of days (e.g., 3 days) after this decrease, and the fluctuation value of the daily electricity consumption decrease is less than or equal to a preset fluctuation value (e.g., 5%), it indicates that the construction party maintained low power consumption after a significant decrease in electricity load and did not submit any application to the power supply company to convert temporary electricity consumption to permanent electricity consumption according to the standard procedure. This type of anomaly is a typical signal of temporary electricity customers abruptly withdrawing from the site and maliciously defaulting on payments. When construction parties face problems such as broken cash flow and unfinished projects, they often choose to abruptly withdraw from the site to evade subsequent debts, and electricity fees, as one of the important debts, become a key target for their evasion.

[0042] For example, if a residential building project experiences a sudden drop in daily electricity consumption from 600 kWh to 250 kWh within 24 hours during the final stages of construction, representing a decrease of 58.3% and exceeding the preset 50% threshold; and the construction company fails to submit an application to convert temporary electricity to permanent electricity within three days of the drop; and if the standard deviation calculation shows that the fluctuation in daily electricity consumption over these three days is approximately 3.3%, less than the preset 5% threshold, it indicates that on-site electricity consumption is at an extremely low and stable level, and construction activities have essentially ceased. In this case, it can be determined that there is a risk of unpaid electricity bills during the final stages of construction, and the construction company may be attempting to abruptly withdraw from the site to evade electricity fees.

[0043] In this embodiment, the method determines abnormal construction completion stages based on the following three conditions: the daily power consumption attenuation is greater than or equal to a preset power consumption attenuation attenuation at the construction completion stage; no application for conversion from temporary power consumption to formal power consumption is submitted within a preset number of days after the attenuation; and the fluctuation value of the daily power consumption attenuation is less than or equal to a preset daily power consumption attenuation fluctuation value. These three conditions can exclude normal completion scenarios. Compared with the one-sidedness of judging with a single indicator, these three conditions effectively avoid misjudging normal step-by-step attenuation, temporary work stoppage fluctuations, and other scenarios as having a risk of arrears, significantly improving the accuracy of judging abnormal construction completion status, and thus achieving accurate identification of arrears risks.

[0044] In some embodiments, in step S100, acquiring the electricity consumption data during the construction phase includes: S1001: Obtain the electricity consumption data for the current time period and the previous time period during the construction phase, wherein the electricity consumption data for the current time period and the previous time period both include the daily electricity consumption for multiple consecutive days; In this step, the previous period refers to the consecutive days immediately preceding the current period where the power consumption was relatively stable, while the current period refers to the subsequent consecutive days that need to be monitored closely. This period contains preliminary abnormal power consumption data. Specifically, the preliminary abnormal power consumption data refers to data that appears in the current period where the daily power consumption fluctuates significantly compared to the normal power consumption level (suspected abnormal power consumption data that has not yet been accurately determined). For example, the daily power consumption may suddenly increase or decrease significantly. This type of data is the core object of further analysis to determine whether it is a normal power consumption fluctuation during the pouring stage.

[0045] Daily electricity consumption data for both the previous and current time periods are collected in real time through smart meters, electricity consumption data acquisition terminals, and other devices to ensure data continuity and timeliness, providing a reliable data foundation for subsequent analysis of changes.

[0046] The method further includes: S300: Determine the average daily electricity consumption for the previous period based on the daily electricity consumption of multiple consecutive days in the previous period; In this step, the average daily electricity consumption of the previous period is used as the benchmark reference value for the change in electricity consumption in the current period. Its calculation needs to be based on continuous and stable electricity consumption data. For example, the average daily electricity consumption of 5-7 consecutive days in the previous period can be selected to avoid deviation of the benchmark value due to abnormal electricity consumption data on a single day, and to ensure the accuracy of subsequent judgment of the change range.

[0047] S301: Based on the average daily electricity consumption of the previous period and the daily electricity consumption of multiple consecutive days in the current period, determine the variation range of daily electricity consumption of multiple consecutive days in the current period. In this step, the daily electricity consumption variation is calculated as (current daily electricity consumption - previous daily average electricity consumption) / previous daily average electricity consumption × 100%. This calculation can accurately quantify the fluctuation of daily electricity consumption in the current period compared to the baseline period, and intuitively reflect the changing trend of electricity load.

[0048] S302: In response to determining that there is a daily electricity consumption change range greater than or equal to a preset daily electricity consumption change range within the current time period, and the duration is greater than or equal to a preset duration, it is further determined whether the daily electricity consumption change range is within a preset electricity consumption change range, wherein the value within the preset electricity consumption change range is greater than the preset daily electricity consumption change range. In this step, the core objective is to first identify scenarios with significant and continuous electricity consumption fluctuations by determining that the daily electricity consumption change is greater than or equal to a preset daily electricity consumption change (e.g., 30%) and lasts for a duration greater than or equal to a preset duration (e.g., 3 days). Then, the focus shifts to specific fluctuation ranges. This may include normal high electricity consumption scenarios during the pouring stage, which require further differentiation in subsequent steps.

[0049] The pouring stage is a typical sub-stage of the construction process (especially the main structure stage), and its electricity consumption characteristics are significant: because concrete pouring requires the use of large vibrating equipment, curing equipment, etc., the daily electricity consumption will increase by 40-60% compared with the average of the previous period, and this high electricity consumption state needs to be maintained for more than one day to ensure the continuous progress of pouring and curing work, while the fluctuation is relatively small.

[0050] If the daily electricity consumption change rate is within the preset range (e.g., 40%-60%), it is preliminarily determined that the abnormal electricity consumption data may be electricity consumption data during the pouring stage.

[0051] S303: In response to determining that the daily electricity consumption change range is within the preset electricity consumption change range and the first duration is greater than or equal to the preset maintenance duration, the current stage is determined to be the pouring stage of the construction process, and there is no risk of arrears. The first duration is the duration during which the changed electricity consumption is maintained at or greater than the preset electricity consumption.

[0052] In this step, the first duration refers to the duration during which the changed electricity consumption remains greater than or equal to the preset electricity consumption. The preset electricity consumption is a threshold set based on the typical electricity demand of the pouring process during the construction phase. Specifically, it can be determined through a construction phase electricity behavior analysis database. This involves extracting the lowest stable electricity load from the pouring phase of similar projects as a reference. For example, combining the average daily electricity consumption of the previous period and the 40%-60% variation range mentioned earlier, the preset electricity consumption is calculated to be 1.4 times the average daily electricity consumption of the previous period (corresponding to the lowest value of the 40% variation range), ensuring that only stable high load states that meet the minimum electricity demand of the pouring process are included in the judgment scope. This step aligns with the construction characteristics of the pouring phase: concrete pouring and subsequent curing processes need to be carried out continuously without interruption, thus exhibiting a unique electricity consumption characteristic of a sustained stable high load after a sudden increase in electricity consumption. Specifically, when a sudden increase of 40%-60% in daily electricity consumption is detected compared to the previous period (consistent with load increases during the pouring stage), and this surge in electricity consumption can be stably maintained for more than 24 hours (meeting the continuous operation requirements of pouring and curing, excluding non-pouring scenarios such as brief equipment starts), the current stage can be accurately determined as the pouring stage. Since the pouring stage is a normal core procedure in the construction process, its sudden increase in electricity consumption is a reasonable construction demand and not a precursor to payment defaults. Therefore, this step can clearly eliminate interference from such normal abnormal data, avoiding misjudging reasonable changes in construction load as payment default signals, and further improving the accuracy of payment default risk identification during the construction phase.

[0053] In this embodiment, the method simultaneously acquires continuous daily electricity consumption data for the current and previous periods, using the average of stable electricity consumption data from the previous period as a benchmark. This effectively avoids the random interference of single-date data, ensuring the accuracy of the calculation of electricity consumption variation in the current period and laying a solid data foundation for subsequent anomaly screening and differentiation from normal scenarios. Furthermore, it first filters out significant fluctuation scenarios by identifying daily electricity consumption variation ranges greater than or equal to a preset daily electricity consumption variation range (e.g., 30%) and lasting for a duration greater than or equal to a preset duration (e.g., 3 days). Then, it further locks into a specific range within a preset electricity consumption variation range (e.g., 40%-60%), precisely focusing on the typical electricity consumption increase range during the pouring stage. This significantly reduces the cost of invalid judgments and makes the analysis more targeted. Finally, considering the continuous operation and stable high load characteristics of the pouring stage, by matching the load characteristics with the preset range of power variation, and then verifying the stability of the high load state with the preset maintenance duration, it is possible to effectively distinguish between normal power consumption during the pouring stage and non-risk fluctuations such as short-term equipment startup and temporary construction adjustments. This avoids misjudging reasonable construction load surges as a precursor to payment risks and significantly improves the accuracy and scientific nature of overall risk identification.

[0054] In some embodiments, a method for identifying risks in construction electricity cost management further includes: S304: In response to determining that the daily electricity consumption change range is not within the preset electricity consumption change range, or that the daily electricity consumption change range is within the preset electricity consumption change range and the duration of the changed electricity consumption is less than the preset duration, it is determined whether there is a staged change in the daily electricity consumption change range during the current period. In this step, in response to the determination that the daily electricity consumption change is not within the preset electricity consumption change range (e.g., 40%-60%), or that the daily electricity consumption change is within the preset electricity consumption change range but the duration of the changed electricity consumption is less than the preset duration (e.g., 24 hours), it is determined whether there is a phased change in the daily electricity consumption change during the current period. This phased change is different from the one-time surge followed by stabilization during the pouring stage. Specifically, it refers to a step-like increase in daily electricity consumption from the previous stable range (the increase is still ≥30%), and after the increase, it enters a new stable range without continuous fluctuations or a downward trend. This is a typical characteristic of electricity consumption changes during the large equipment arrival stage. The purpose of this step is to further subdivide significant fluctuation scenarios that are not identified as part of the pouring stage, and to avoid misjudging electricity consumption changes during the normal construction stage of large equipment arrival as a risk.

[0055] S305: In response to the determination that the daily electricity consumption change range in the current period has a phased change, and the daily electricity consumption after the phased change is stable within the preset stable electricity consumption range and meets the first preset electricity consumption conditions, then the current stage is determined to be the stage of large equipment entering the site in the construction stage, and there is no risk of abnormal electricity consumption. The first preset power consumption condition is that power consumption is highest in the morning and lowest in the evening.

[0056] In this step, the preset stable power consumption range can be obtained from the power behavior analysis library during the construction phase. That is, the power load range of normal operation after the arrival of large equipment in similar projects is extracted as the standard. For example, combined with the average daily power consumption of the previous period and the jump rate of ≥30%, it is set to 1.3 to 1.8 times the average daily power consumption of the previous period to ensure that only the stable state of the large equipment's operating load is included in the judgment. The first preset power consumption condition is that the power consumption is highest in the morning and lowest in the evening. This condition closely follows the operating pattern of large equipment. Large construction equipment (such as tower cranes, excavators, large mixers, etc.) usually follow the work schedule of working during the day and stopping at night. After the equipment is started in the morning, it enters the full load operation state, and the power consumption reaches the peak. In the evening, the equipment is stopped, and the power consumption drops to the trough, forming a typical daily power consumption curve of high in the morning and low in the evening.

[0057] To illustrate with an example from the reference content: If a construction project's average daily electricity consumption in the previous period was 500 kWh, and the current daily electricity consumption jumps by 40% to 700 kWh, then stabilizes within a preset stable electricity consumption range of 680-720 kWh, and the electricity consumption curves for several consecutive days show the characteristic of highest electricity consumption in the morning and lowest electricity consumption in the evening, then the current stage can be determined as the large equipment arrival stage. Since the arrival of large equipment is a normal construction phase (especially in the foundation and initial stage of the main structure), the resulting step-by-step increase in electricity consumption is a reasonable construction demand. Therefore, this step can accurately exclude such normal fluctuations, further improve the normal scenario identification system for the construction phase, and enhance the accuracy of overall arrears risk identification.

[0058] In this embodiment, the method matches the load fluctuation pattern of large equipment arrival with the "phased change" feature, matches the normal operating load range after the large equipment arrives with the "preset stable power range," and combines the time period feature of "high power consumption in the morning and low power consumption at night" to match the actual operating pattern of large equipment working during the day and stopping at night. Through the accurate matching of these three features, it can effectively distinguish the normal construction scenario of large equipment arrival from other abnormal power consumption scenarios, avoid misjudging reasonable power fluctuations as risks, and provide power supply companies with a more accurate basis for early warning of construction power arrears risks.

[0059] In some embodiments, a method for identifying risks in construction electricity cost management further includes: S306: In response to determining that the daily electricity consumption for the current period meets the first judgment condition, the second judgment condition is executed, wherein the first judgment condition includes at least one of the following: The daily electricity consumption variation during the current period does not exhibit a phased change. The daily electricity consumption fluctuates in stages during the current period, and the daily electricity consumption after these stages has not stabilized within the preset stable electricity consumption range. The current daily electricity consumption does not meet the first preset electricity consumption conditions; The second judgment condition includes: In the current time period, determine the target daily electricity consumption corresponding to different target days, and perform the first step for the target daily electricity consumption corresponding to each target day: determine the average daily electricity consumption for a preset number of days before the target day, so as to obtain the change range of the target daily electricity consumption relative to the average daily electricity consumption; In this step, in response to determining that the daily electricity consumption for the current period meets the first judgment condition, the second judgment condition is executed. The first judgment condition is used to filter out electricity consumption scenarios not identified as part of the large equipment arrival phase, specifically including at least one of the following: First, the daily electricity consumption fluctuation range for the current period does not exhibit a phased change, i.e., it does not meet the core load characteristics of large equipment arrival; second, the daily electricity consumption fluctuation range for the current period exhibits a phased change, but the daily electricity consumption after the phased change does not stabilize within a preset stable electricity range, and there is no stable state after the load jump, which does not meet the normal operating characteristics of large equipment; third, the daily electricity consumption for the current period does not meet the first preset electricity consumption condition, i.e., it does not exhibit the time period characteristic of "high electricity consumption in the morning and low electricity consumption in the evening," thus excluding large equipment operation scenarios. The core purpose of this step is to further screen significant fluctuation scenarios outside of the large equipment arrival phase, avoiding misjudging electricity consumption changes during the normal phase of multiple concentrated construction operations as a risk of unpaid bills.

[0060] If the daily electricity consumption for the current period meets the first judgment condition, then it is determined that the abnormal electricity consumption data is not data from the large equipment entry phase, and further judgment is required, i.e., the second judgment condition is executed.

[0061] The second judgment condition is implemented as follows: First, determine the target daily electricity consumption for different target days in the current time period. The target days can be selected as consecutive natural days within the current time period. For the target daily electricity consumption of each target day, perform the first step - determine the average daily electricity consumption of the preset number of days (e.g., 5 days) before the target day, and then calculate the change in the target day electricity consumption relative to the average daily electricity consumption to preliminarily determine whether there is a "gradually increasing" electricity consumption trend, and then determine whether it meets the scenario of multiple operations being carried out in a concentrated manner.

[0062] S307: If the result of the first step in response to determining that the target day electricity consumption for at least two consecutive target days has a change greater than a preset range, then the second judgment condition is met; In this step, when the change range of at least two consecutive target days is greater than the preset range (e.g., 15%-25%, corresponding to the initial incremental increase of multiple operations being carried out in a concentrated manner), the second judgment condition is met, and it is preliminarily determined that there is a "gradually increasing" electricity consumption trend, which is consistent with the scenario of multiple operations being carried out in a concentrated manner.

[0063] For example, assuming the current period selects four consecutive calendar days as target days (days 6, 7, 8, and 9 respectively), with a preset number of days of 5 and a preset range of 15%-25%. Day 6 (the first target day): looking back 5 days to days 1-5, the average daily electricity consumption during this period is 500 kWh. The daily electricity consumption on day 6 is 580 kWh, with a change range of (580-500) / 500×100%=16% (within the 15%-25% range). Day 7 (the second target day): looking back 5 days to days 2-6, the average daily electricity consumption during this period is 516 kWh (the baseline is slightly higher than the previous target day due to the inclusion of the 580 kWh electricity consumption on day 6). The daily electricity consumption on day 7 is 610 kWh, with a change range of (610-516) / 516×100%≈18.2% (still within the 15%-25% range). Since the daily electricity consumption changes of the two consecutive target days, the 6th and 7th, relative to their respective previous 5 days, both meet the preset range requirements, the second judgment condition is met. It can be preliminarily determined that there is a "gradually increasing" electricity consumption trend, which matches the scenario characteristics of multiple operations being carried out in a concentrated manner.

[0064] S308: In response to determining that the target day in the current period meets the second judgment condition, and the stable duration of the changed daily electricity consumption is greater than or equal to the preset stable duration, and meets the second preset electricity consumption condition, determine that the current stage is the concentrated construction stage of multiple operations in the construction process stage, and there is no risk of abnormal electricity consumption. The second preset electricity consumption condition is that the electricity consumption during the daytime is greater than the electricity consumption during the nighttime.

[0065] In this step, the stable duration of the changed daily electricity consumption refers to the duration during which the daily electricity consumption gradually increases and then enters a stable state. The preset stable duration can be set according to the conventional cycle of multiple operations being carried out simultaneously in similar projects (such as 7 days) to ensure that fluctuations caused by short-term temporary operations are eliminated. The second preset electricity consumption condition is that the electricity consumption during the daytime is greater than that during the nighttime. This condition conforms to the operational pattern of multiple operations being carried out simultaneously—multiple operations are usually arranged to be carried out during the daytime (such as multiple teams working simultaneously in the main structure construction, or multiple processes running in parallel during the decoration stage), and the work stops or is greatly reduced at night, thus presenting a daily electricity consumption curve that is high during the day and low at night.

[0066] If the target day in the current period meets the second judgment condition, and the stable duration of the changed daily electricity consumption is greater than or equal to the preset stable duration, and the electricity consumption shows a pattern of high electricity consumption during the daytime and low electricity consumption at night for several consecutive days, then the current stage can be determined as a stage of concentrated construction of multiple tasks. Since concentrated construction of multiple tasks is a normal construction arrangement during the construction phase (such as the mid-term of the main structure or the concentrated decoration phase), the resulting gradual increase in stable electricity consumption is a reasonable construction demand. Therefore, this step can accurately determine that the abnormal electricity consumption data belongs to the data of the concentrated construction phase of multiple tasks and is a normal fluctuation, further improving the normal scenario identification system during the construction phase and enhancing the accuracy of overall arrears risk identification.

[0067] In this embodiment, for the identification of multiple concentrated construction phases, this method forms a precise judgment logic that fits the construction pattern, with significant results. Specifically, the method first filters by ensuring that at least two consecutive target days in the current time period meet the second judgment condition, accurately capturing the core electricity consumption characteristics of the gradual increase in multiple concentrated construction phases, and initially identifying suspected scenarios from significant fluctuation scenarios; then, it verifies the continuity of the electricity consumption status by verifying that the stable duration of the changed daily electricity consumption is greater than or equal to the preset stable duration, and at the same time, combined with the second preset electricity consumption condition of high electricity consumption during the day and low electricity consumption at night, it fits the actual operation pattern of multiple concentrated construction phases being carried out during the day, effectively distinguishing multiple concentrated construction phases from other abnormal electricity consumption scenarios, and greatly reducing the probability of misjudging such normal construction electricity consumption fluctuations as a risk of overdue payments.

[0068] In some embodiments, a method for identifying risks in construction electricity cost management further includes: S309: In response to determining that the target day within the current time period meets the third judgment condition, it is preliminarily determined that there is a risk of abnormal electricity consumption in the current stage, wherein the third judgment condition includes at least one of the following: The target date in the current period does not meet the second judgment condition; The target day in the current period meets the second judgment condition, and the stable duration of the changed daily electricity consumption is less than the preset stable duration; The electricity consumption on the target day during the current period does not meet the second preset electricity consumption conditions.

[0069] In this step, in response to determining that the target day within the current time period meets the third judgment condition, it is preliminarily determined that there is an abnormal power consumption risk in the current stage. The third judgment condition includes at least one of the following: First, the target day in the current time period does not meet the second judgment condition, i.e., there are no two consecutive target days where the daily power consumption changes more than a preset range (e.g., 15%-25%) relative to the average daily power consumption of the previous 5 days. This indicates that the power consumption fluctuation does not possess the core characteristic of "gradual increase" in concentrated construction of multiple operations, and other normal stages have been excluded, thus constituting an abnormal fluctuation. Second, the target day in the current time period meets the second judgment condition (possessing a gradual increase characteristic), but the stable duration of the changed daily power consumption is less than the preset stable duration (e.g., 7 days). This indicates that the increased power consumption status has not formed a continuous and stable trend, which does not conform to the conventional pattern of concentrated construction of multiple operations. Third, the power consumption of the target day in the current time period does not meet the second preset power consumption condition, i.e., it does not exhibit the time period characteristic of "high power consumption during the day and low power consumption at night." For example, there is a surge in power consumption at night, or no significant difference between day and night power consumption, which deviates from the normal work and rest pattern of construction, constituting an abnormal power consumption performance. If the target date within the current period meets the third judgment condition, it proves that the abnormal power consumption risk does not originate from a scenario where multiple operations are concentrated during the construction phase.

[0070] To accurately identify abnormal electricity usage risks during construction phases, after eliminating normal scenarios such as the pouring and large equipment arrival phases, multiple scenarios involving concentrated construction work were also eliminated. This ensured that abnormal electricity usage data did not originate from these scenarios, as such abnormal electricity usage data easily leads to disputes during subsequent payment processes. When construction parties encounter unexpected electricity charges, they often refuse to acknowledge the charges, claiming abnormal electricity usage data, denying that they used the corresponding amount, or even raising questions about external wiring or faulty metering equipment, thus evading their electricity payment obligations. Furthermore, precise monitoring of this abnormal electricity usage data allows power company personnel to carry relevant data and evidence to the construction site for verification, enabling early communication and verification with the construction party regarding abnormal electricity usage. This early intervention and verification method effectively reduces the construction party's room for subsequent questioning and denial, preventing payment disputes at the source, and making risk assessment more convincing, thus improving the reliability and efficiency of construction electricity cost management. It should be noted that the elimination of the above-mentioned normal scenarios is not in any particular order; that is, it is sufficient to confirm that the abnormal electricity usage data does not originate from any of these scenarios.

[0071] In this embodiment, if the target day within the current time period meets the third judgment condition, it proves that the abnormal electricity consumption risk does not originate from a scenario involving multiple concentrated construction operations. That is, it proves that the abnormal data does not originate from the pouring stage, the large equipment entry stage, or the concentrated construction operation stage. This is highly likely to cause disputes in the subsequent payment process. Power supply company staff need to bring relevant data vouchers to the construction site for verification and confirmation, and communicate and verify with the construction party in advance regarding the abnormal electricity consumption situation. This will prevent payment disputes from the source and improve the reliability and efficiency of construction electricity cost management.

[0072] In some embodiments, in step S100, acquiring the electricity consumption data during the construction phase includes: S1002: Obtain the initial power consumption data for the construction phase; S1003: The initial power consumption data is preprocessed, and the preprocessed initial power consumption data is used as the power consumption data during the construction phase. The preprocessing includes removing outliers and filling in missing values.

[0073] Specifically, initial electricity consumption data may become abnormal during the collection process due to factors such as equipment failure, communication interruption, and environmental interference. For example, a smart meter malfunction could cause a sudden increase in daily electricity consumption to more than 10 times the normal value, or signal interruption could result in missing electricity consumption data for several consecutive days. Abnormal values ​​are defined as electricity consumption data that deviates significantly from the normal electricity consumption range during the construction phase and is not caused by normal construction procedures (such as pouring concrete or the arrival of large equipment). Examples include data exceeding three times the conventional electricity load of similar projects at the same construction phase, and abnormally high electricity consumption data occurring during periods without any construction activity. By clearly defining the criteria for such abnormal values, it can be ensured that genuine abnormal data is removed, rather than reasonable fluctuations caused by normal construction. Missing values ​​can be filled using the average of adjacent time periods to ensure data integrity and continuity. Through preprocessing steps, the quality of electricity consumption data during the construction phase can be effectively improved, avoiding deviations in subsequent normal scenario exclusion and abnormal risk assessment due to abnormal or missing original data, thus laying a more reliable data foundation for the entire risk identification process.

[0074] In this embodiment, preprocessing the initial power consumption data can effectively improve the quality of power consumption data during the construction phase, avoid deviations in the subsequent exclusion of normal scenarios and judgment of abnormal risks due to abnormal or missing original data, and lay a more reliable data foundation for the entire risk identification process.

[0075] In some embodiments, after step S102, the preliminary determination of the risk of electricity arrears during the construction phase further includes: S103: Compare the electricity consumption data during the construction phase with the electricity consumption data during the standard normal construction phase to determine the similarity between the two. In this step, the electricity consumption data during the standard normal construction phase is obtained by constructing a construction phase electricity behavior analysis database. This database extracts normal electricity consumption data from similar projects (e.g., projects of the same building type, similar construction scale, and similar construction progress) during the construction phase. This data covers core dimensions such as daily electricity consumption fluctuation range, time-period electricity consumption characteristics (e.g., the daytime / nighttime electricity consumption ratio during normal construction), and electricity load intervals corresponding to different work processes, forming standardized normal electricity consumption data samples. During the comparison process, the similarity between the electricity consumption data to be judged and the standard data can be calculated from multiple dimensions such as daily electricity consumption change trends, time-period electricity consumption distribution, and load fluctuation patterns, quantifying the degree of fit between the two.

[0076] S104: In response to determining that the similarity is greater than or equal to the preset similarity value, it is determined that there is no risk of arrears during the construction phase; S105: In response to determining that the similarity is less than the preset similarity value, it is further determined that there is a risk of unpaid fees during the construction phase.

[0077] In this step, the preset similarity value can be calibrated and set based on historical data of similar projects (e.g., 80%). If the similarity is ≥80%, it indicates that the core characteristics of the electricity consumption data to be judged are highly consistent with the normal construction electricity consumption pattern. The previously initially judged "abnormality" may be caused by non-risk factors such as data fluctuation deviations or short-term special construction adjustments. Therefore, the judgment is corrected to no arrears risk. If the similarity is <80%, it indicates that the electricity consumption data to be judged significantly deviates from the normal construction electricity consumption pattern, further confirming the previous risk judgment result and strengthening the reliability of risk warning. Through this series of secondary verification steps, the preliminary risk judgment result can be reviewed and corrected, effectively avoiding the misjudgment problem caused by single-dimensional judgment, and providing power supply companies with a more accurate basis for risk decision-making.

[0078] It should be noted that the secondary verification of abnormal data is not limited to data initially identified as having a risk of electricity arrears during the construction phase. Its scope also includes abnormal electricity usage data initially identified during the construction completion phase, as well as abnormal electricity usage data filtered out from the three normal scenarios during the construction phase: the pouring stage, the large equipment arrival stage, and the stage of concentrated multi-operation work. By expanding the coverage of the secondary verification, a comprehensive review of all types of suspected abnormal electricity usage data throughout the entire construction cycle can be achieved, ensuring the consistency and rigor of risk assessment.

[0079] In this embodiment, by comparing the electricity consumption data during the construction phase with the electricity consumption data during the standard normal construction phase, if the similarity is high, it indicates that the core characteristics of the electricity consumption data to be judged are highly consistent with the normal construction electricity consumption pattern. The previously initially judged "abnormality" may be caused by non-risk factors such as data fluctuation deviation or short-term special construction adjustments. Therefore, the judgment is revised to no risk of arrears. If the similarity is low, it indicates that the electricity consumption data to be judged deviates significantly from the normal construction electricity consumption pattern, further confirming the previous risk judgment results and strengthening the reliability of risk warning.

[0080] It should be noted that the method of this embodiment can be executed by a single device, such as a computer or server. The method of this embodiment can also be applied in a distributed scenario, where multiple devices cooperate to complete the task. In such a distributed scenario, one of these devices may execute only one or more steps of the method of this embodiment, and the multiple devices will interact with each other to complete the method described.

[0081] It should be noted that the above description describes some embodiments of this application. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in a different order than that shown in the above embodiments and still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0082] Based on the same inventive concept, corresponding to any of the above embodiments, this application also provides a construction electricity cost management risk identification device.

[0083] refer to Figure 3 The device includes: The acquisition device 401 is configured to acquire electricity consumption data during the construction phase, wherein the electricity consumption data includes average daily electricity consumption and electricity consumption duration. The first control module 402 is configured to: determine, based on the average daily electricity consumption and the duration of electricity consumption, the extent to which the average daily electricity consumption deviates from the preset daily electricity consumption range and the extent to which the duration of electricity consumption deviates from the preset duration of electricity consumption range during the construction phase; The second control module 403 is configured to: in response to determining that the average daily electricity consumption during the construction phase deviates from the preset daily electricity consumption range by a margin greater than or equal to the preset electricity consumption range, and the electricity consumption duration deviates from the preset electricity consumption duration range by a margin greater than or equal to the preset duration range, it is preliminarily determined that there is a risk of electricity arrears during the construction phase.

[0084] Furthermore, The acquisition device 401 is further configured to: acquire the electricity consumption data of the construction completion stage, the electricity consumption data including daily electricity consumption and application time data for converting temporary electricity consumption to formal electricity consumption; The first control module 402 is further configured to: determine the daily power consumption attenuation rate based on the daily power consumption, wherein the daily power consumption attenuation rate is the percentage decrease in the current daily power consumption relative to the average daily power consumption in the previous stable power consumption phase; The first control module 402 is also configured to: determine the fluctuation value of the daily power consumption attenuation amplitude based on the multiple said daily power consumption attenuation amplitudes; The second control module 403 is further configured to: in response to determining that the daily power consumption attenuation is greater than or equal to a preset power consumption attenuation during the construction completion stage, and that no application for conversion from temporary power consumption to formal power consumption is submitted within a preset number of days after the attenuation, and the fluctuation value of the daily power consumption attenuation is less than or equal to the preset daily power consumption attenuation fluctuation value, then preliminarily determine that there is a risk of power arrears during the construction completion stage.

[0085] Furthermore, the acquisition device 401 is also configured to: acquire electricity consumption data for the current time period and the previous time period during the construction phase, wherein the electricity consumption data for the current time period and the previous time period both include daily electricity consumption for multiple consecutive days; The first control module 402 is also configured to: determine the average daily electricity consumption of the previous period based on the daily electricity consumption of multiple consecutive days in the previous period; The first control module 402 is further configured to: determine the variation range of daily electricity consumption for multiple consecutive days in the current period based on the average daily electricity consumption of the previous period and the daily electricity consumption for multiple consecutive days in the current period; The second control module 403 is further configured to: in response to determining that there is a daily power consumption change range greater than or equal to a preset daily power consumption change range and a duration greater than or equal to a preset duration within the current time period, further determine whether the daily power consumption change range is within a preset power consumption change range, wherein the value within the preset power consumption change range is greater than the preset daily power consumption change range. The second control module 403 is further configured to: in response to determining that the daily electricity consumption change range is within a preset electricity consumption change range and the first duration is greater than or equal to a preset maintenance duration, determine that the current stage is the pouring stage of the construction process and there is no risk of arrears, wherein the first duration is the duration during which the changed electricity consumption is maintained at or greater than or equal to the preset electricity consumption.

[0086] Furthermore, the second control module 403 is also configured to: in response to determining that the daily electricity consumption change range is not within the preset electricity consumption change range, or that the daily electricity consumption change range is within the preset electricity consumption change range and the duration of the changed electricity consumption is less than the preset duration, determine whether there is a staged change in the daily electricity consumption change range during the current period. The second control module 403 is further configured to: in response to determining that the daily power consumption change range of the current period has a phased change, and the daily power consumption after the phased change is stable within a preset stable power consumption range and meets the first preset power consumption conditions, then determine that the current stage is the stage of large equipment entering the site during the construction process, and there is no risk of abnormal power consumption. The first preset power consumption condition is that power consumption is highest in the morning and lowest in the evening.

[0087] Furthermore, the second control module 403 is also configured to: in response to determining that the daily electricity consumption in the current period meets the first judgment condition, execute the second judgment condition, wherein the first judgment condition includes at least one of the following: The daily electricity consumption variation during the current period does not exhibit a phased change. The daily electricity consumption fluctuates in stages during the current period, and the daily electricity consumption after these stages has not stabilized within the preset stable electricity consumption range. The current daily electricity consumption does not meet the first preset electricity consumption conditions; The second judgment condition includes: In the current time period, determine the target daily electricity consumption corresponding to different target days, and perform the first step for the target daily electricity consumption corresponding to each target day: determine the average daily electricity consumption for a preset number of days before the target day, so as to obtain the change range of the target daily electricity consumption relative to the average daily electricity consumption; The second control module 403 is also configured to: if the result of the first step in determining that the target day electricity consumption of at least two consecutive target days changes by a magnitude greater than a preset magnitude, then the second judgment condition is met. The second control module 403 is further configured to: in response to determining that the target day in the current period meets the second judgment condition, and the stable duration of the changed daily electricity consumption is greater than or equal to the preset stable duration, and meets the second preset electricity consumption condition, determine that the current stage is the concentrated construction stage of multiple operations in the construction process stage, and there is no risk of abnormal electricity consumption, wherein the second preset electricity consumption condition is that the electricity consumption during the daytime is greater than the electricity consumption during the nighttime.

[0088] Furthermore, the second control module 403 is also configured to: in response to determining that the target day within the current time period meets a third judgment condition, preliminarily determine that there is a risk of abnormal power consumption in the current stage, wherein the third judgment condition includes at least one of the following: The target date in the current period does not meet the second judgment condition; The target day in the current period meets the second judgment condition, and the stable duration of the changed daily electricity consumption is less than the preset stable duration; The electricity consumption on the target day during the current period does not meet the second preset electricity consumption conditions.

[0089] Furthermore, the acquisition module 401 is also configured as follows: Obtain the initial power consumption data for the construction phase; The initial electricity consumption data is preprocessed, and the preprocessed initial electricity consumption data is used as the electricity consumption data during the construction phase. The preprocessing includes removing outliers and filling in missing values.

[0090] Furthermore, the second control module 403 is also configured as follows: Compare the electricity consumption data during the construction phase with the electricity consumption data during the standard normal construction phase to determine the similarity between the two. If the similarity is determined to be greater than or equal to a preset similarity value, then it is determined that there is no risk of unpaid fees during this construction phase. If the similarity is determined to be less than the preset similarity value, then it is further determined that there is a risk of unpaid fees during this construction phase.

[0091] For ease of description, the above devices are described in terms of function, divided into various modules. Of course, in implementing this application, the functions of each module can be implemented in one or more software and / or hardware.

[0092] The apparatus described above is used to implement the corresponding construction electricity cost management risk identification method in any of the foregoing embodiments, and has the beneficial effects of the corresponding method embodiments, which will not be repeated here.

[0093] Based on the same inventive concept, corresponding to the methods of any of the above embodiments, this application also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the construction electricity cost management risk identification method described in any of the above embodiments.

[0094] Figure 4 This embodiment illustrates a more specific hardware structure of an electronic device. The device may include a processor 1010, a memory 1020, an input / output interface 1030, a communication interface 1040, and a bus 1050. The processor 1010, memory 1020, input / output interface 1030, and communication interface 1040 are interconnected internally via the bus 1050.

[0095] The processor 1010 can be implemented using a general-purpose CPU (Central Processing Unit), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this specification.

[0096] The memory 1020 can be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory), static storage device, dynamic storage device, etc. The memory 1020 can store the operating system and other applications. When the technical solutions provided in the embodiments of this specification are implemented by software or firmware, the relevant program code is stored in the memory 1020 and is called and executed by the processor 1010.

[0097] The input / output interface 1030 is used to connect input / output modules to realize information input and output. Input / output modules can be configured as components within the device (not shown in the figure) or externally connected to the device to provide corresponding functions. Input devices may include keyboards, mice, touchscreens, microphones, various sensors, etc., while output devices may include displays, speakers, vibrators, indicator lights, etc.

[0098] The communication interface 1040 is used to connect a communication module (not shown in the figure) to enable communication between this device and other devices. The communication module can communicate via wired means (such as USB, Ethernet cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.).

[0099] Bus 1050 includes a pathway for transmitting information between various components of the device, such as processor 1010, memory 1020, input / output interface 1030, and communication interface 1040.

[0100] It should be noted that although the above-described device only shows the processor 1010, memory 1020, input / output interface 1030, communication interface 1040, and bus 1050, in specific implementations, the device may also include other components necessary for normal operation. Furthermore, those skilled in the art will understand that the above-described device may only include the components necessary for implementing the embodiments of this specification, and not necessarily all the components shown in the figures.

[0101] The electronic devices described above are used to implement the corresponding construction electricity cost management risk identification method in any of the foregoing embodiments, and have the beneficial effects of the corresponding method embodiments, which will not be repeated here.

[0102] Based on the same inventive concept, corresponding to the methods of any of the above embodiments, this application also provides a non-transitory computer-readable storage medium storing computer instructions for causing the computer to execute the construction electricity cost management risk identification method as described in any of the above embodiments.

[0103] The computer-readable medium of this embodiment includes permanent and non-permanent, removable and non-removable media, and information storage can be implemented by any method or technology. Information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transfer medium that can be used to store information accessible by a computing device.

[0104] The computer instructions stored in the storage medium of the above embodiments are used to cause the computer to execute the construction electricity cost management risk identification method as described in any of the above embodiments, and have the beneficial effects of the corresponding method embodiments, which will not be repeated here.

[0105] It is understood that before using the technical solutions of the various embodiments in this disclosure, users will be informed of the type, scope of use, and usage scenarios of the personal information involved in an appropriate manner, and user authorization will be obtained.

[0106] For example, upon receiving a user's active request, a prompt message is sent to the user to explicitly inform them that the requested operation will require the acquisition and use of the user's personal information. This allows the user to independently choose, based on the prompt message, whether to provide personal information to the software or hardware such as electronic devices, applications, servers, or storage media performing the operations of this disclosed technical solution.

[0107] As an optional but not limited implementation, in response to a user's active request, sending a prompt message to the user can be done via a pop-up window, where the prompt message can be presented in text format. Furthermore, the pop-up window can also include a selection control allowing the user to choose "agree" or "disagree" to provide personal information to the electronic device.

[0108] It is understood that the above notification and user authorization process are merely illustrative and do not constitute a limitation on the implementation of this disclosure. Other methods that comply with relevant laws and regulations may also be applied to the implementation of this disclosure.

[0109] Those skilled in the art should understand that the discussion of any of the above embodiments is merely exemplary and is not intended to imply that the scope of this application is limited to these examples; under the concept of this application, the technical features of the above embodiments or different embodiments can also be combined, the steps can be implemented in any order, and there are many other variations of different aspects of the embodiments of this application as described above, which are not provided in detail for the sake of brevity.

[0110] Additionally, to simplify the description and discussion, and to avoid obscuring the embodiments of this application, the well-known power / ground connections to integrated circuit (IC) chips and other components may or may not be shown in the provided drawings. Furthermore, the apparatus may be shown in block diagram form to avoid obscuring the embodiments of this application, and this also takes into account the fact that the details of the implementation of these block diagram apparatuses are highly dependent on the platform on which the embodiments of this application will be implemented (i.e., these details should be fully understood by those skilled in the art). While specific details (e.g., circuits) have been set forth to describe exemplary embodiments of this application, it will be apparent to those skilled in the art that the embodiments of this application can be implemented without these specific details or with variations thereof. Therefore, these descriptions should be considered illustrative rather than restrictive.

[0111] Although this application has been described in conjunction with specific embodiments thereof, many substitutions, modifications, and variations of these embodiments will be apparent to those skilled in the art from the foregoing description. For example, other memory architectures (e.g., dynamic RAM (DRAM)) may be used with the embodiments discussed.

[0112] The embodiments of this application are intended to cover all such substitutions, modifications, and variations that fall within the broad scope of the claims of this application. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the embodiments of this application should be included within the protection scope of this application.

Claims

1. A method for identifying risks in construction electricity cost management, characterized in that, The construction phase includes the construction execution phase, and the method includes: Obtain electricity consumption data during the construction phase, wherein the electricity consumption data includes average daily electricity consumption and electricity consumption duration; Based on the average daily electricity consumption and the duration of electricity consumption, the deviation of the average daily electricity consumption from the preset daily electricity consumption range and the deviation of the duration of electricity consumption from the preset duration of electricity consumption range during the construction phase are determined. In response to the determination that the average daily electricity consumption during the construction phase deviates from the preset daily electricity consumption range by a margin greater than or equal to the preset electricity consumption range, and the electricity consumption duration deviates from the preset electricity consumption duration range by a margin greater than or equal to the preset duration range, it is preliminarily determined that there is a risk of electricity arrears during the construction phase.

2. The method for identifying risks in construction electricity cost management according to claim 1, characterized in that, The construction phase also includes a construction completion phase, and the method further includes: Obtain electricity consumption data during the construction completion phase, including daily electricity consumption and application time data for converting temporary electricity consumption to formal electricity consumption; Based on the daily electricity consumption, the daily electricity consumption attenuation rate is determined, wherein the daily electricity consumption attenuation rate is the percentage decrease in the current daily electricity consumption relative to the average daily electricity consumption during the previous stable electricity consumption period; Based on the various daily electricity consumption attenuation rates, the fluctuation value of the daily electricity consumption attenuation rate is determined; In response to the determination that the daily electricity consumption attenuation during the construction completion phase is greater than or equal to the preset electricity consumption attenuation range, and that no application for conversion from temporary to formal electricity use has been submitted within the preset number of days following the attenuation, and the fluctuation value of the daily electricity consumption attenuation range is less than or equal to the preset daily electricity consumption attenuation range fluctuation value, it is preliminarily determined that there is a risk of electricity arrears during the construction completion phase.

3. The method for identifying risks in construction electricity cost management according to claim 1, characterized in that, The acquisition of electricity consumption data during the construction phase includes: Obtain electricity consumption data for the current and previous periods during the construction phase, wherein the electricity consumption data for the current and previous periods both include daily electricity consumption for multiple consecutive days; The method further includes: The average daily electricity consumption for the previous period is determined based on the daily electricity consumption of multiple consecutive days in the previous period. Based on the average daily electricity consumption of the previous period and the daily electricity consumption of multiple consecutive days in the current period, determine the variation range of daily electricity consumption of multiple consecutive days in the current period. In response to determining that there is a daily electricity consumption change range greater than or equal to a preset daily electricity consumption change range within the current time period, and the duration is greater than or equal to a preset duration, it is further determined whether the daily electricity consumption change range is within a preset electricity consumption change range, wherein the value within the preset electricity consumption change range is greater than the preset daily electricity consumption change range. In response to determining that the daily electricity consumption change range is within the preset electricity consumption change range and the first duration is greater than or equal to the preset maintenance duration, the current stage is determined to be the pouring stage of the construction process, and there is no risk of arrears. The first duration is the duration during which the changed electricity consumption is maintained at or greater than the preset electricity consumption.

4. The method for identifying risks in construction electricity cost management according to claim 3, characterized in that, Also includes: In response to determining that the daily electricity consumption change is not within the preset electricity consumption change range, or that the daily electricity consumption change is within the preset electricity consumption change range and the duration of the changed electricity consumption is less than the preset duration, it is determined whether there is a staged change in the daily electricity consumption change during the current period. In response to the determination that the daily electricity consumption changes in the current period are in stages, and the daily electricity consumption after the stage changes is stable within the preset stable electricity consumption range and meets the first preset electricity consumption conditions, it is determined that the current stage is the stage of large equipment entering the site during the construction process, and there is no risk of abnormal electricity consumption. The first preset power consumption condition is that power consumption is highest in the morning and lowest in the evening.

5. The method for identifying risks in construction electricity cost management according to claim 4, characterized in that, Also includes: In response to determining that the daily electricity consumption for the current period meets the first judgment condition, the second judgment condition is executed, wherein the first judgment condition includes at least one of the following: The daily electricity consumption variation during the current period does not exhibit a phased change. The daily electricity consumption fluctuates in stages during the current period, and the daily electricity consumption after these stages has not stabilized within the preset stable electricity consumption range. The current daily electricity consumption does not meet the first preset electricity consumption conditions; The second judgment condition includes: In the current time period, determine the target daily electricity consumption corresponding to different target days, and perform the first step for the target daily electricity consumption corresponding to each target day: determine the average daily electricity consumption for a preset number of days before the target day, so as to obtain the change range of the target daily electricity consumption relative to the average daily electricity consumption; If the result of the first step in response to determining that the target day electricity consumption for at least two consecutive target days has a change greater than a preset range, then the second judgment condition is met. In response to the determination that the target day in the current period meets the second judgment condition, and the stable duration of the changed daily electricity consumption is greater than or equal to the preset stable duration, and meets the second preset electricity consumption condition, it is determined that the current stage is the concentrated construction stage of multiple operations in the construction process stage, and there is no risk of abnormal electricity consumption. The second preset electricity consumption condition is that the electricity consumption during the daytime is greater than the electricity consumption during the nighttime.

6. The method for identifying risks in construction electricity cost management according to claim 5, characterized in that, Also includes: If the target day within the current time period meets the third judgment condition, it is preliminarily determined that there is a risk of abnormal electricity consumption in the current stage. The third judgment condition includes at least one of the following: The target date in the current period does not meet the second judgment condition; The target day in the current period meets the second judgment condition, and the stable duration of the changed daily electricity consumption is less than the preset stable duration; The electricity consumption on the target day during the current period does not meet the second preset electricity consumption conditions.

7. The method for risk identification in construction electricity cost management according to claim 1, characterized in that, The acquisition of electricity consumption data during the construction phase includes: Obtain the initial power consumption data for the construction phase; The initial electricity consumption data is preprocessed, and the preprocessed initial electricity consumption data is used as the electricity consumption data during the construction phase. The preprocessing includes removing outliers and filling in missing values.

8. The method for identifying risks in construction electricity cost management according to claim 1, characterized in that, After initially determining that there is a risk of electricity arrears during the construction phase, the following also includes: Compare the electricity consumption data during the construction phase with the electricity consumption data during the standard normal construction phase to determine the similarity between the two. If the similarity is determined to be greater than or equal to a preset similarity value, then it is determined that there is no risk of unpaid fees during this construction phase. If the similarity is determined to be less than the preset similarity value, then it is further determined that there is a risk of unpaid fees during this construction phase.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the program, it implements the method as described in any one of claims 1 to 8.

10. A non-transitory computer-readable storage medium storing computer instructions, characterized in that, The computer instructions are used to cause the computer to perform the method according to any one of claims 1 to 8.

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