Construction site temporary power supply state monitoring method using a SCADA system

Abstract

The application relates to the technical field of line monitoring, and discloses a construction site temporary power supply state monitoring method applying a SCADA system, which comprises the following steps: comparing zero sequence current data of a construction site, marking a distribution line with weak fluctuation existing for more than a set time length and lower than an action threshold value as a suspected fault line of the construction site; extracting a zero sequence current phase feature in a healthy state of the suspected fault line as a capacitive phase reference value of the suspected fault line; putting a preset characteristic impedance into the end of the suspected fault line to obtain a characteristic disturbance current of the suspected fault line; collecting a characteristic disturbance current injection response to obtain injection response waveform data of the suspected fault line; performing phase analysis on the injection response waveform data to obtain phase feature quantities of the injection response waveform data; and distinguishing the difference between the phase feature quantities and the capacitive phase reference value, if the phase feature quantities present a resistive lag feature and exceed a preset phase shift threshold value, the suspected fault line is re-marked as a fault line of the construction site.

Description

Technical Field

[0001] This invention relates to the field of line monitoring technology, and in particular to a method for monitoring the temporary power supply status at construction sites using a SCADA system. Background Technology

[0002] In power supply and distribution systems at construction sites, zero-sequence current monitoring is a crucial means of ensuring the safe operation of power lines. Currently, common line status monitoring methods primarily rely on real-time monitoring of the zero-sequence current amplitude. When the zero-sequence current amplitude exceeds a preset threshold, the system triggers protective actions, such as issuing an alarm signal or tripping a circuit breaker to isolate the fault. These threshold-based protection methods are quite effective in dealing with grounding faults with significant amplitude changes and form the basis of current electrical safety monitoring at construction sites.

[0003] In existing technologies, traditional monitoring methods based on fixed thresholds are difficult to effectively identify fault precursors or high-resistance grounding conditions that exhibit weak but prolonged fluctuations in zero-sequence current amplitude. This results in the system's inability to capture such slowly developing line anomalies in a timely manner. Furthermore, when identifying these weak fluctuations, some normally operating lines in construction sites, such as distribution lines with long-distance cables at their ends, exhibit capacitive zero-sequence current amplitude fluctuations due to distributed capacitance effects that are highly similar to high-resistance grounding fault precursors. Existing technologies rely solely on amplitude and duration for judgment, lacking effective means to distinguish between these two fundamentally different electrical phenomena. This makes it highly likely that the physical characteristics of normal lines will be misjudged as fault precursors. Summary of the Invention

[0004] This invention provides a method for monitoring the temporary power supply status at construction sites using a SCADA system, in order to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides a method for monitoring the temporary power supply status at construction sites using a SCADA system, comprising: S1: Continuously compare the zero-sequence current data at the construction site, and mark the power distribution lines with weak fluctuations that exceed the set time but are below the action threshold as suspected fault lines at the construction site. S2: Extract the zero-sequence current phase characteristics of the suspected faulty line under healthy conditions, and use them as the capacitive phase reference value of the suspected faulty line. S3: Input the preset characteristic impedance to the end of the suspected faulty line to obtain the characteristic disturbance current on the suspected faulty line. S4: Synchronously acquire the injection response of the characteristic disturbance current to obtain the injection response waveform data of the suspected faulty line; S5: Perform phase analysis on the injected response waveform data to obtain the phase characteristic quantities of the injected response waveform data; S6: Distinguish between the phase characteristic quantity and the capacitive phase reference value. If the phase characteristic quantity exhibits resistive hysteresis characteristics and exceeds the preset phase offset threshold, remark the suspected faulty line as a faulty line at the construction site.

[0006] In a preferred embodiment, the process of marking suspected faulty lines at the construction site is as follows: Current recording was performed on the power distribution lines at the construction site to obtain the zero-sequence current data sequence of the power distribution lines; By scanning the zero-sequence current data sequence point by point, the zero-sequence current fluctuation curve of the power distribution line is obtained. Based on the zero-sequence current fluctuation curve, the amplitude fluctuation of the zero-sequence current in the distribution line is analyzed over a continuous period to obtain the amplitude variation and duration of the zero-sequence current in the distribution line. The amplitude variation and duration of the zero-sequence current are compared with the preset action threshold and the preset duration threshold, respectively, to obtain the amplitude status identifier and duration status identifier of the power distribution line. If the amplitude status indicator shows that the zero-sequence current amplitude change is consistently lower than the action threshold, and the duration status indicator shows that the fluctuation duration exceeds the duration threshold, the corresponding power distribution line will be marked as a suspected fault line at the construction site.

[0007] In a preferred embodiment, the process of obtaining the amplitude variation and duration of the zero-sequence current of the power distribution line is as follows: Based on the zero-sequence current fluctuation curve, the zero-sequence current amplitude of the power distribution line is segmented by time period to obtain the zero-sequence current fluctuation segment of the power distribution line in a continuous time period. Extreme value search is performed on the zero-sequence current amplitude fluctuation segment to obtain the maximum and minimum zero-sequence current amplitude of the distribution line in a continuous time period; The difference between the maximum and minimum values ​​of the zero-sequence current amplitude is calculated to obtain the variation range of the zero-sequence current amplitude in the power distribution line. Time-domain features are extracted from the zero-sequence current amplitude fluctuation segment to obtain the fluctuation duration of the power distribution line.

[0008] In a preferred embodiment, the process for using the capacitive phase reference value as the suspected faulty line is as follows: By filtering the historical operating data of suspected faulty lines by time period, the historical zero-sequence current of the suspected faulty lines under healthy conditions can be obtained. Phase analysis of the zero-sequence current historical records yields the phase characteristics of the zero-sequence current in suspected faulty lines. The zero-sequence current phase characteristic is set as the capacitive phase reference value for the suspected faulty line.

[0009] In a preferred embodiment, the characteristic disturbance current on the suspected faulty line is obtained through the following process: Based on the line topology information of the suspected faulty line, the location of the terminal node of the suspected faulty line is identified to obtain the terminal access node of the suspected faulty line. The preset characteristic impedance is incorporated into the end access node to establish an electrical connection between the characteristic impedance and the end access node; Based on the electrical connection relationship, a voltage excitation is applied to the suspected faulty line to form a disturbance current flow path between the characteristic impedance and the suspected faulty line; Based on the path of the disturbance current, the current is sampled at the connection point of the characteristic impedance to obtain the steady-state current waveform record of the characteristic impedance. The waveform of the steady-state current waveform is tuned to obtain the characteristic disturbance current on the suspected faulty line.

[0010] In a preferred embodiment, a disturbance current flow path is formed between the characteristic impedance and the suspected faulty line, the process being as follows: Based on the electrical connection relationship, the voltage application point is located at the access node with characteristic impedance to obtain the voltage excitation application node of the suspected faulty line; Based on the voltage excitation application node, voltage injection is performed on the suspected faulty line to establish the voltage difference driving state between the voltage excitation application node and the characteristic impedance. Based on the voltage difference driving state, a current path is established between the characteristic impedance and the suspected faulty line to obtain the disturbance current flow path between the characteristic impedance and the suspected faulty line.

[0011] In a preferred embodiment, the injected response waveform data of the suspected faulty line is obtained through the following process: Based on the injection time of the characteristic disturbance current, the voltage and current signals of the suspected faulty line are sampled synchronously to obtain the instantaneous voltage sampling data and instantaneous current sampling data of the suspected faulty line. By extracting the instantaneous voltage and current sampling data during the response period, voltage waveform segments and current waveform segments during the injection period of the suspected faulty line are obtained. By correlating and integrating the voltage waveform segment and the current waveform segment during the injection period, the injection response waveform data of the suspected faulty line is obtained.

[0012] In a preferred embodiment, the phase characteristic of the injected response waveform data is obtained through the following process: The fundamental frequency waveform record of the injection response waveform data is obtained by deconstructing the injected response waveform data. Based on the capacitive phase reference value, the fundamental frequency waveform record is phase reference aligned to obtain the phase offset waveform of the fundamental frequency waveform record relative to the capacitive phase reference value; Based on the phase offset waveform, peak value is extracted from the phase offset waveform to obtain the peak phase offset amount of the phase offset waveform; By performing attribute deconstruction on the peak phase offset, the phase characteristic of the injected response waveform data is obtained.

[0013] In a preferred embodiment, the process of remarking a suspected faulty line as a faulty line is as follows: Based on the capacitive phase reference value, identify whether the phase characteristic quantity exhibits resistive hysteresis characteristics, and obtain the resistive hysteresis attribute identifier of the phase characteristic quantity; The preset phase offset threshold is compared with the threshold verification of the phase feature quantity to obtain the threshold exceedance indicator of the phase feature quantity. By logically combining the resistive hysteresis attribute identifier and the threshold exceedance identifier, a fault confirmation identifier of the phase characteristic quantity is obtained. Based on the fault confirmation markers, the suspected faulty lines are identified, and the faulty lines at the construction site are obtained.

[0014] In a preferred embodiment, the fault confirmation identifier of the phase characteristic quantity is obtained through the following process: The existence of resistive hysteresis attribute identifier and threshold exceedance identifier is verified to obtain the coexistence determination criteria of resistive hysteresis attribute identifier and threshold exceedance identifier. Based on the coexistence determination criteria, the resistive hysteresis attribute identifier and the threshold exceedance identifier are logically combined to obtain the coexistence status identifier of the resistive hysteresis attribute identifier and the threshold exceedance identifier. Based on the coexistence state identifier, the phase characteristic quantity is assigned a state to obtain the fault confirmation identifier of the phase characteristic quantity.

[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. This invention continuously compares the zero-sequence current of power distribution lines at construction sites, analyzes the amplitude variation and duration of fluctuation based on the zero-sequence current fluctuation curve, and marks lines with amplitude variation below the action threshold and fluctuation duration exceeding the duration threshold as suspected fault lines. This process improves upon the traditional fixed threshold monitoring method. Specifically, it introduces the time dimension of fluctuation duration as a judgment condition, expanding the original judgment based solely on the amplitude threshold to a mechanism that jointly judges both amplitude and duration conditions. This enables the capture of slow-developing abnormal states where amplitude changes do not reach the action threshold but fluctuations persist, overcoming the shortcomings of existing technologies in identifying weak fault precursors such as high-resistance grounding.

[0016] 2. By extracting the zero-sequence current phase characteristics of a suspected faulty line under healthy conditions as a capacitive phase reference value, and then injecting a characteristic impedance at the end of the line and collecting the injected response waveform data, the phase characteristic quantity is analyzed and compared with the capacitive phase reference value. This process distinguishes the physical essence of the line's electrical characteristics. Specifically, it establishes the line's own capacitive reference by using the zero-sequence current phase characteristics under healthy conditions, and then quantifies the line's phase attributes into comparable numerical indicators by actively injecting characteristic disturbances and analyzing the phase shift characteristics of the response waveform. This allows for accurate identification of normal lines that originally generated capacitive zero-sequence current due to distributed capacitance effects, avoiding misjudging them as faulty conditions.

[0017] 3. When the phase characteristic quantity exhibits resistive hysteresis and exceeds the preset phase offset threshold, the suspected faulty line is remarked as a faulty line. This process achieves secondary confirmation and accurate calibration of the suspected faulty line. Specifically, it introduces a differentiated discrimination step of phase characteristics on the basis of the initial marking. The fault confirmation mark is formed by the logical combination of the resistive hysteresis attribute mark and the threshold exceedance mark, and finally the fault calibration is completed. This improves the judgment basis from a single amplitude and duration dimension to a composite dimension that includes phase characteristics. This effectively solves the problem that the existing technology misjudges the physical characteristics of normal lines as fault precursors due to the lack of differentiation means, and improves the accuracy of fault identification. Attached Figure Description

[0018] Figure 1 This is a flowchart illustrating a method for monitoring the temporary power supply status at a construction site using a SCADA system, as provided in an embodiment of the present invention. The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0019] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0020] This application provides a method for monitoring the temporary power supply status at construction sites using a SCADA system. The executing entity of this method includes, but is not limited to, at least one of the following electronic devices that can be configured to execute the method provided in this application: a server, a terminal, etc. In other words, the method for monitoring the temporary power supply status at construction sites using a SCADA system can be executed by software or hardware installed on a terminal device or a server device. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster. The server can be an independent server or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (CDN), and big data and artificial intelligence platforms.

[0021] Reference Figure 1 The diagram shown is a flowchart illustrating a method for monitoring the temporary power supply status at a construction site using a SCADA system, according to an embodiment of the present invention. In this embodiment, the method for monitoring the temporary power supply status at a construction site using a SCADA system includes: S1. Continuously compare the zero-sequence current data at the construction site, and mark the power distribution lines with weak fluctuations that exceed the set time but are below the action threshold as suspected fault lines at the construction site. In this embodiment of the invention, the process of marking a suspected faulty line at a construction site is as follows: Current recording was performed on the power distribution lines at the construction site to obtain the zero-sequence current data sequence of the power distribution lines; Current recording devices are installed on each power distribution line at the construction site. These devices continuously collect electrical signals of the zero-sequence current of the line. During the collection process, the zero-sequence current value collected each time is recorded at fixed time intervals. These values ​​are then arranged in chronological order of collection time and integrated into an ordered set of values. This ordered set of values ​​is the zero-sequence current data sequence of the power distribution line.

[0022] By scanning the zero-sequence current data sequence point by point, the zero-sequence current fluctuation curve of the power distribution line is obtained. Starting from the first value in the zero-sequence current data sequence, each zero-sequence current value within the sequence is extracted one by one. At the same time, the validity of each extracted value is verified. After confirming that there is no acquisition error, the valid value coordinates corresponding to each time point are marked in a Cartesian coordinate system with time as the horizontal axis and zero-sequence current value as the vertical axis. Then, adjacent valid coordinates are connected in sequence with a smooth curve to form a curve that can intuitively reflect the trend of zero-sequence current change over time. This curve is the zero-sequence current fluctuation curve of the power distribution line.

[0023] Based on the zero-sequence current fluctuation curve, amplitude fluctuation analysis is performed on the zero-sequence current amplitude of the distribution line over a continuous period to obtain the amplitude variation and duration of the zero-sequence current fluctuation. The process is as follows: Based on the zero-sequence current fluctuation curve, the zero-sequence current amplitude of the power distribution line is segmented by time period to obtain the zero-sequence current fluctuation segment of the power distribution line in a continuous time period. Observe the changes in the amplitude of the zero-sequence current presented by the zero-sequence current fluctuation curve, find the complete time interval in which the amplitude of the zero-sequence current in the curve fluctuates continuously, and use the start and end times of this interval as the interception boundary to completely extract the part of the curve in the zero-sequence current fluctuation curve within the boundary range. This extracted curve segment is the zero-sequence current fluctuation segment of the power distribution line in the continuous time period.

[0024] Extreme value search is performed on the zero-sequence current amplitude fluctuation segment to obtain the maximum and minimum zero-sequence current amplitude of the distribution line in a continuous time period; The zero-sequence current amplitude corresponding to all coordinate points on the zero-sequence current amplitude fluctuation segment is checked one by one. At the same time, a comprehensive numerical comparison is made of these amplitudes. The zero-sequence current amplitude with the largest value is selected from all the amplitude values ​​participating in the comparison. This value is the maximum value of the zero-sequence current amplitude of the distribution line in the continuous period. At the same time, the zero-sequence current amplitude with the smallest value is selected from these values. This value is the minimum value of the zero-sequence current amplitude of the distribution line in the continuous period.

[0025] The difference between the maximum and minimum values ​​of the zero-sequence current amplitude is calculated to obtain the variation range of the zero-sequence current amplitude in the power distribution line. The specific numerical result obtained by subtracting the minimum value of the zero-sequence current amplitude from the maximum value of the zero-sequence current amplitude obtained through this subtraction operation is the variation range of the zero-sequence current amplitude of the power distribution line. This value can directly reflect the actual variation range of the zero-sequence current amplitude over a continuous period of time.

[0026] Time-domain features are extracted from the zero-sequence current amplitude fluctuation segment to obtain the fluctuation duration of the power distribution line; First, determine the complete time interval corresponding to the zero-sequence current amplitude fluctuation segment. Accurately read the specific time values ​​of the start and end times of the fluctuation segment. Subtract the start time value from the end time value. The time result obtained by this subtraction operation is the fluctuation duration of the power distribution line. This time can directly reflect the actual duration of the continuous fluctuation of the zero-sequence current amplitude.

[0027] The amplitude variation and duration of the zero-sequence current are compared with the preset action threshold and the preset duration threshold, respectively, to obtain the amplitude status identifier and duration status identifier of the power distribution line. First, clarify the specific definitions of the action threshold and duration threshold. The action threshold is a fixed amplitude value used to determine whether the fluctuation of the zero-sequence current amplitude reaches the fault action standard. The duration threshold is a fixed time value used to determine whether the duration of the zero-sequence current amplitude fluctuation reaches the suspected fault standard. The calculated amplitude change of the zero-sequence current is directly compared with the action threshold. Based on the actual comparison result, an identifier is generated that clearly represents the state of the amplitude change of the zero-sequence current relative to the action threshold. This identifier is the amplitude status identifier. Then, the calculated fluctuation duration is directly compared with the duration threshold. Based on the actual comparison result, an identifier is generated that clearly represents the state of the fluctuation duration relative to the duration threshold. This identifier is the duration status identifier. Both the amplitude status identifier and the duration status identifier have fixed status representation forms. When the amplitude change is lower than the action threshold, the amplitude status identifier directly represents low amplitude fluctuation. When the fluctuation duration exceeds the duration threshold, the duration status identifier directly represents excessive duration fluctuation.

[0028] Based on the amplitude status indicator indicating that the amplitude change of the zero-sequence current is continuously lower than the action threshold, and the duration status indicator indicating that the duration of the fluctuation exceeds the duration threshold, the corresponding power distribution line is marked as a suspected fault line at the construction site. The representation content of amplitude status identifier and duration status identifier is jointly verified. If the amplitude status identifier clearly shows that the zero-sequence current amplitude change of the distribution line is always below the action threshold, and the duration status identifier also clearly shows that the duration of the zero-sequence current amplitude fluctuation of the distribution line has exceeded the duration threshold, a unique line identifier is added to the distribution line. This identifier will clearly mark the line attribute as a suspected fault line at the construction site, and this unique identifier will achieve real-time data linkage with the power supply monitoring system at the construction site, and the suspected fault status of the line will be displayed synchronously in the line monitoring interface of the monitoring system.

[0029] S2: Extract the zero-sequence current phase characteristics of the suspected faulty line under healthy conditions, and use them as the capacitive phase reference value of the suspected faulty line. In this embodiment of the invention, the process for using the capacitive phase reference value as the suspected faulty line is as follows: By filtering the historical operating data of suspected faulty lines by time period, the historical zero-sequence current of the suspected faulty lines under healthy conditions can be obtained. The historical operational data of a suspected faulty line consists of all the data continuously collected and archived by the SCADA system for power supply monitoring at the construction site after the line was put into use. This data includes the zero-sequence current value at each collection time point, the collection timestamp, and the line's associated operational status monitoring information. When performing time period screening, the system first extracts all fault-free operating periods from these historical operational data. The criteria for fault-free operation are that the line does not exhibit any fault characteristics such as current tripping, voltage abnormality, or line grounding during the corresponding time period, and the zero-sequence current value does not fluctuate abnormally. Then, continuous and sufficiently long operating periods are selected from these fault-free operating periods and defined as healthy operating periods. Finally, the system extracts all corresponding records of zero-sequence current values ​​and collection timestamps within the healthy operating periods. The resulting set of records is the historical zero-sequence current history of the suspected faulty line in a healthy state.

[0030] Phase analysis of the zero-sequence current historical records yields the phase characteristics of the zero-sequence current in suspected faulty lines. The zero-sequence current historical record is a set of records corresponding to the zero-sequence current values ​​and acquisition timestamps under the healthy state of a suspected faulty line. When performing phase analysis, each acquisition timestamp and its corresponding zero-sequence current value are matched as waveform coordinate points according to the order of acquisition timestamps. Then, all coordinate points are connected sequentially to form a continuous zero-sequence current waveform. Next, the harmonic components in the zero-sequence current waveform are removed, and only the fundamental waveform that reflects the basic change law of the zero-sequence current is retained. Then, the power frequency voltage phase of the power supply system at the construction site is used as a fixed phase reference. The time difference between the current zero-crossing point and the reference voltage zero-crossing point in each cycle of the fundamental waveform is calculated. Combined with the power frequency, the time difference is converted into the corresponding phase angle. Then, the phase angles of all cycles of the fundamental waveform are statistically analyzed as a whole, and the average value of all phase angles is taken as the core phase feature. This core phase feature is the zero-sequence current phase feature quantity of the suspected faulty line.

[0031] The zero-sequence current phase characteristic is set as the capacitive phase reference value of the suspected faulty line. The extracted zero-sequence current phase characteristic is entered into the parameter configuration module of the SCADA system for power supply monitoring at the construction site, corresponding to the suspected faulty line. A unique reference value identifier is added to this phase characteristic in this module. This identifier specifically represents that the value is the capacitive phase reference under the healthy state of this suspected faulty line. At the same time, a direct retrieval relationship is established between this reference value and the subsequent phase characteristic comparison in the data analysis program of the SCADA system. This allows the system to directly retrieve this value from the parameter configuration module for data comparison when performing phase difference judgment in the future, thereby completing the setting of the capacitive phase reference value for the suspected faulty line.

[0032] S3: Input the preset characteristic impedance to the end of the suspected faulty line to obtain the characteristic disturbance current on the suspected faulty line. In this embodiment of the invention, the characteristic disturbance current on the suspected faulty line is obtained through the following process: Based on the line topology information of the suspected faulty line, the location of the terminal node of the suspected faulty line is identified to obtain the terminal access node of the suspected faulty line. Line topology information is a record of all information in the power distribution system at the construction site, including the route, node distribution, and equipment connection relationships of suspected faulty lines. When identifying the location of the terminal node of a suspected faulty line, all node markings in this topology information are examined one by one to clearly distinguish the starting node, intermediate nodes, and terminal nodes of the line. Combined with the actual physical laying of the power distribution lines at the construction site, the farthest electrical connection node of the line is confirmed as the terminal node. This confirmed terminal node is directly designated as the terminal access node of the suspected faulty line. This terminal access node is the physical node that achieves electrical connection between the characteristic impedance and the suspected faulty line.

[0033] The preset characteristic impedance is incorporated into the end access node to establish an electrical connection between the characteristic impedance and the end access node; The preset characteristic impedance is a fixed impedance device specifically selected for detecting the status of power distribution lines at the construction site. When this characteristic impedance is connected to the end access node, the two terminals of the characteristic impedance are firmly physically connected to the phase line and neutral line of the end access node, respectively. During the connection process, it is necessary to ensure that the conductivity of the contact parts is good and that there is no abnormal contact resistance. Through such a physical connection, a stable electrical conduction relationship can be formed between the characteristic impedance and the end access node. This electrical connection relationship is the basic electrical condition for applying voltage excitation to suspected faulty lines to form a current path.

[0034] Based on the electrical connection relationship, a voltage excitation is applied to the suspected faulty line to create a disturbance current flow path between the characteristic impedance and the suspected faulty line. The process is as follows: Based on the electrical connection relationship, the voltage application point is located at the access node with characteristic impedance to obtain the voltage excitation application node of the suspected faulty line; The electrical connection relationship is the established stable electrical conduction relationship between the characteristic impedance and the terminal access node. Based on this relationship, when locating the voltage application point of the characteristic impedance access node, the line terminal closest to the characteristic impedance access point is selected on the line segment adjacent to the terminal access node of the suspected faulty line as the positioning reference point. The electrical connection attributes and line current carrying capacity of this reference point are first fully checked. After confirming that the reference point fully meets the electrical conditions for voltage injection, this reference point is designated as the voltage excitation application node of the suspected faulty line. This voltage excitation application node is a dedicated physical point for applying voltage excitation to the suspected faulty line.

[0035] Based on the voltage excitation application node, voltage injection is performed on the suspected faulty line to establish the voltage difference driving state between the voltage excitation application node and the characteristic impedance. Based on the determined voltage excitation application node, voltage injection is performed on the suspected faulty line. Through a dedicated voltage excitation device, a voltage value that matches the operating specifications of the power distribution line at the construction site is stably delivered to the voltage excitation application node. During the transmission process, the amplitude and phase of the voltage output must remain stable, without any sudden changes or abrupt changes. By injecting voltage into the voltage excitation application node, a significant and stable potential difference is formed between the potential of the node and the potential across the characteristic impedance. This potential difference becomes the driving force for the current to flow in the line. In this way, a stable voltage difference driving state can be established between the voltage excitation application node and the characteristic impedance. This voltage difference driving state is the core driving condition for the formation of the disturbance current flow path.

[0036] Based on the voltage difference driving state, the current path is connected between the characteristic impedance and the suspected fault line to obtain the disturbance current flow path between the characteristic impedance and the suspected fault line. Based on the established voltage difference driving state, and relying on the electrical connection between the characteristic impedance and the end access node, a current flow path is established between the characteristic impedance and the suspected faulty line. This allows the current to start from the voltage excitation application node, flow steadily along the corresponding line segment of the suspected faulty line to the end access node, and then continue to flow through the characteristic impedance through the electrical connection between the end access node and the characteristic impedance, ultimately forming a complete and closed current flow loop. This actually established closed current flow loop is defined as the disturbance current flow path between the characteristic impedance and the suspected faulty line. This disturbance current flow path is the exclusive physical channel through which the characteristic disturbance current is formed and flows in the line.

[0037] Based on the path of the disturbance current, the current is sampled at the connection point of the characteristic impedance to obtain the steady-state current waveform record of the characteristic impedance. The disturbance current flow path is a complete closed current flow loop formed between the characteristic impedance and the suspected faulty line. When sampling the current at the connection point of the characteristic impedance based on this path, a dedicated current sampling device is installed at the electrical connection position between the characteristic impedance and the end connection node. This device continuously collects the electrical signal of the current flowing through the characteristic impedance connection point in the disturbance current flow path at fixed time intervals. At the same time, it also records the current amplitude, current phase and other related information at each time point. The collection stops when the amplitude and phase of the collected current signal remain stable and there are no obvious fluctuations. Then, all the collected current signal information is organized into continuous waveform data in chronological order. This organized continuous waveform data is the steady-state current waveform record of the characteristic impedance. This steady-state current waveform record is the original data for subsequent tuning to obtain the characteristic disturbance current.

[0038] The steady-state current waveform record is calibrated to obtain the characteristic disturbance current on the suspected faulty line. The steady-state current waveform records of the acquired characteristic impedance are calibrated. First, all waveform data in the steady-state current waveform records are checked point by point to accurately remove invalid data points caused by factors other than the line itself, such as interference from the acquisition device and noise at the moment of line contact. Then, the waveform data after removing invalid data points is smoothed to keep the waveform change trend continuous and stable, without abrupt amplitude or phase changes. Finally, the steady-state current value and waveform characteristics that reflect the core characteristics of the current are extracted from the calibrated waveform data. This current with stable electrical characteristics obtained after extraction and calibration is defined as the characteristic disturbance current on the suspected fault line. This characteristic disturbance current is a special disturbance current signal used to detect the actual operating state of the suspected fault line.

[0039] S4: Synchronously acquire the injection response of the characteristic disturbance current to obtain the injection response waveform data of the suspected faulty line; In this embodiment of the invention, the injected response waveform data of the suspected faulty line is obtained through the following process: Based on the injection time of the characteristic disturbance current, the voltage and current signals of the suspected faulty line are sampled synchronously to obtain the instantaneous voltage sampling data and instantaneous current sampling data of the suspected faulty line. At the instant the characteristic disturbance current is injected, a synchronous sampling command is sent to the SCADA system at the construction site. This command simultaneously activates the voltage sampling device and the current sampling device deployed on the suspected faulty line. The voltage sampling device is physically installed by directly attaching it to the phase and neutral lines of the suspected faulty line. It collects the voltage signal on the line at fixed time intervals and records the voltage physical quantity value at each moment in strict chronological order of collection. The current sampling device is connected in series in the main line of the suspected faulty line and collects the current signal in the line at the exact same time interval as the voltage sampling device. It also records the current physical quantity value at each moment in chronological order of collection. The set of voltage physical quantity values ​​arranged in time series is defined as instantaneous voltage sampling data, and the set of current physical quantity values ​​arranged in the same time series is defined as instantaneous current sampling data.

[0040] By extracting the instantaneous voltage and current sampling data during the response period, voltage waveform segments and current waveform segments during the injection period of the suspected faulty line are obtained. The injection moment of the characteristic disturbance current is used as the starting moment for data interception. Voltage and current signals on the suspected faulty line are observed, and the point at which their amplitudes no longer change significantly is used as the ending moment. The time interval between these two moments is the response period. Using the time boundary of this response period as a screening criterion, the instantaneous voltage sampling data is numerically filtered, extracting all voltage physical quantity values ​​within this time boundary and removing all irrelevant values ​​outside the boundary. The extracted voltage physical quantity values ​​are then arranged according to their original time sequence, transforming them into waveform data that intuitively reflects the voltage change over time. This waveform data is the voltage waveform segment of the injection period. Simultaneously, the instantaneous current sampling data is numerically filtered using the same time boundary, extracting all current physical quantity values ​​within the boundary and removing irrelevant values. The extracted current physical quantity values ​​are then arranged according to their original time sequence, transforming them into waveform data that intuitively reflects the current change over time. This waveform data is the current waveform segment of the injection period.

[0041] By performing waveform correlation and integration on the voltage waveform segment and the current waveform segment during the injection period, the injection response waveform data of the suspected faulty line is obtained. Using time as a unified reference dimension, the time axes of the voltage waveform segment and the current waveform segment during the injection period are precisely aligned and calibrated, ensuring that the values ​​of the two waveform data at each time node form a one-to-one correlation. After the two waveform data have been calibrated, they are fused together, and the voltage waveform values ​​and current waveform values ​​at the same time node are integrated into a set of correlated data. Then, according to the chronological order, all sets of correlated data are arranged sequentially, finally forming an integrated waveform data that simultaneously possesses voltage and current waveform characteristics and has a completely matched time dimension. This integrated waveform data is the injection response waveform data of the suspected faulty line.

[0042] S5: Perform phase analysis on the injected response waveform data to obtain the phase characteristic quantities of the injected response waveform data; In this embodiment of the invention, the phase characteristic of the injected response waveform data is obtained through the following process: The fundamental frequency waveform record of the injection response waveform data is obtained by deconstructing the injected response waveform data. When deconstructing the injected response waveform data, firstly, all voltage and current waveform values ​​corresponding to each time node in the injected response waveform data are extracted. Then, harmonic separation processing is performed on these extracted values. Using the power frequency of the power distribution system at the construction site as the reference, various harmonic components such as the second and third harmonics in the data are stripped one by one, and only the waveform components that are consistent with the power frequency are retained. Then, all voltage and current values ​​corresponding to the retained power frequency waveform components are rearranged according to the original time sequence of the injected response waveform data to form a continuous and complete waveform record. This waveform record is the fundamental frequency waveform record of the injected response waveform data. The fundamental frequency waveform record is the core data of the injected response waveform that retains only the basic waveform characteristics of the power frequency after removing harmonic interference.

[0043] Based on the capacitive phase reference value, the fundamental frequency waveform record is phase reference aligned to obtain the phase offset waveform of the fundamental frequency waveform record relative to the capacitive phase reference value; When aligning the fundamental frequency waveform record with the capacitive phase reference value, the time points of the current zero-crossing points in each cycle are first extracted from the fundamental frequency waveform record. The time points of the current zero-crossing points corresponding to the capacitive phase reference value are used as fixed reference points. The time difference between each current zero-crossing point in the fundamental frequency waveform record and the fixed reference point is calculated. Combined with the power frequency of the power distribution system at the construction site, each time difference is converted into the corresponding phase angle difference. Then, with time as the horizontal axis and phase angle difference as the vertical axis, the phase angle difference corresponding to each time node is marked as a coordinate point. Adjacent coordinate points are connected sequentially with a smooth curve to form a continuous waveform. This waveform is the phase offset waveform of the fundamental frequency waveform record relative to the capacitive phase reference value. The phase offset waveform is waveform data that can intuitively reflect the phase change of the fundamental frequency waveform record relative to the capacitive phase reference value.

[0044] Based on the phase offset waveform, peak value is extracted from the phase offset waveform to obtain the peak phase offset amount of the phase offset waveform; When performing peak finding based on the phase shift waveform, first extract all the phase angle differences corresponding to all coordinate points on the phase shift waveform, check these phase angle differences point by point, and then perform a full numerical comparison. Select the phase angle difference with the largest value from all the phase angle differences involved in the comparison. This value is the peak phase shift of the phase shift waveform. The peak phase shift is the maximum value in the phase shift waveform that reflects the degree of phase shift, and it is also the core value that characterizes the phase shift amplitude of the fundamental frequency waveform record relative to the capacitive phase reference value.

[0045] By performing attribute deconstruction on the peak phase offset, the phase characteristic of the injected response waveform data is obtained; When deconstructing the attributes of the peak phase offset, the phase attribute of the peak phase offset is first determined according to the phase characteristic definition standard of capacitive phase and resistive phase in the power distribution system of the construction site. It is then determined whether the phase attribute corresponding to the peak phase offset is a capacitive leading characteristic or a resistive lagging characteristic. The specific value of the peak phase offset is then extracted, and the phase attribute information obtained from the determination is organized. These two types of information are integrated together to form a feature set that has both numerical magnitude and phase attribute. This feature set is the phase feature quantity of the injected response waveform data. The phase feature quantity is the core data set that reflects the overall phase change characteristics of the injected response waveform data.

[0046] S6: Distinguish between the phase characteristic quantity and the capacitive phase reference value. If the phase characteristic quantity exhibits resistive hysteresis characteristics and exceeds the preset phase offset threshold, remark the suspected faulty line as a faulty line at the construction site. In this embodiment of the invention, the process of remarking a suspected faulty line as a faulty line is as follows: Based on the capacitive phase reference value, identify whether the phase characteristic quantity exhibits resistive hysteresis characteristics, and obtain the resistive hysteresis attribute identifier of the phase characteristic quantity; Based on the capacitive phase reference value, it is determined whether the phase characteristic quantity exhibits resistive hysteresis, thus obtaining the resistive hysteresis attribute identifier of the phase characteristic quantity. The capacitive phase reference value is the zero-sequence current phase characteristic quantity extracted from the suspected faulty line under healthy conditions. The phase characteristic quantity is a set of features that combine peak phase offset value and phase attribute after the injected response waveform data is analyzed. In practice, the core phase attribute of the capacitive phase reference value is first extracted, which is itself a capacitive leading characteristic. Then, the calibrated phase attribute information is extracted from the phase characteristic quantity, and this information is directly compared with the capacitive leading characteristic to determine the phase attribute. For example, if the phase attribute of a phase characteristic quantity exhibits a resistive characteristic where the current phase lags behind the voltage phase, a resistive hysteresis attribute identifier is generated for that phase characteristic quantity to represent the presence of resistive hysteresis. If the phase attribute of a phase characteristic quantity does not exhibit this resistive characteristic where the current phase lags behind the voltage phase, a resistive hysteresis attribute identifier is generated for that phase characteristic quantity to represent the absence of resistive hysteresis. This resistive hysteresis attribute identifier is a fixed state identifier that specifically identifies whether a phase characteristic quantity possesses a resistive hysteresis phase attribute. By completing the generation operation of this identifier, the resistive hysteresis attribute identifier corresponding to the phase characteristic quantity can be obtained.

[0047] The preset phase offset threshold is compared with the threshold verification of the phase feature quantity to obtain the threshold exceedance indicator of the phase feature quantity. The phase characteristic quantity is subjected to threshold verification using a preset phase offset threshold to obtain a threshold exceedance indicator for the phase characteristic quantity. The preset phase offset threshold is a critical value of phase offset that is set in advance based on the actual operating standards of the power distribution line at the construction site and the fault judgment requirements. When conducting threshold verification, the specific value of the peak phase offset is first extracted from the phase characteristic quantity. This value is then directly compared with the preset phase offset threshold. If the peak phase offset value is greater than the preset phase offset threshold, a threshold exceedance indicator indicating that the phase offset exceeds the critical value is generated for the phase characteristic quantity. If the peak phase offset value is less than or equal to the preset phase offset threshold, a threshold exceedance indicator indicating that the phase offset does not exceed the critical value is generated for it. This threshold exceedance indicator is a fixed state indicator that specifically indicates whether the peak phase offset of the phase characteristic quantity exceeds the critical value. After completing the generation operation of this indicator, the threshold exceedance indicator corresponding to the phase characteristic quantity can be obtained.

[0048] The resistive hysteresis attribute identifier and the threshold exceedance identifier are logically combined for judgment to obtain the fault confirmation identifier of the phase characteristic quantity. The process is as follows: The existence of resistive hysteresis attribute identifier and threshold exceedance identifier is verified to obtain the coexistence determination criteria of resistive hysteresis attribute identifier and threshold exceedance identifier. The existence of resistive hysteresis attribute identifiers and threshold exceedance identifiers is verified to obtain the coexistence determination criteria for these identifiers. During the existence verification, the generated resistive hysteresis attribute identifiers and threshold exceedance identifiers are retrieved from the SCADA system for power supply monitoring at the construction site. Their specific state representations are viewed and recorded. Then, the states of the two identifiers are checked sequentially: first, it is checked whether the resistive hysteresis attribute identifier represents the presence of resistive hysteresis characteristics; then, it is checked whether the threshold exceedance identifier represents a phase offset exceeding a critical value. The state results from both checks are fully integrated and recorded. The integrated record clearly indicates the state representation results of each identifier and whether the states required for fault determination occur simultaneously. This integrated record is the coexistence determination criteria for the resistive hysteresis attribute identifiers and threshold exceedance identifiers. This coexistence determination criteria is the basic record file that provides data support for subsequent logical combination operations. Generating this record file yields the corresponding coexistence determination criteria.

[0049] Based on the coexistence determination criteria, the resistive hysteresis attribute identifier and the threshold exceedance identifier are logically combined to obtain the coexistence status identifier of the resistive hysteresis attribute identifier and the threshold exceedance identifier. Based on the coexistence determination criteria, the resistive hysteresis attribute identifier and the threshold exceedance identifier are logically combined to obtain the coexistence state identifier of the resistive hysteresis attribute identifier and the threshold exceedance identifier. When performing the logical combination, the state characterization results of the two identifiers recorded in the coexistence determination criteria are first used to perform a combination determination according to the core logical requirements of the power distribution line fault determination at the construction site. If the resistive hysteresis attribute identifier in the coexistence determination criteria indicates that there is a resistive hysteresis characteristic and the threshold exceedance identifier indicates that the phase offset exceeds the critical value, it is determined that the two identifiers simultaneously meet the state required for fault determination. If either identifier in the coexistence determination criteria does not meet the state required for fault determination, it is determined that the two identifiers do not simultaneously meet the state required for fault determination. Then, based on the result of this combination determination, the corresponding coexistence state identifier is generated. If the state required for fault determination is met, a coexistence state identifier representing the state required for fault determination of the coexistence of the two identifiers is generated. If the state required for fault determination is not met, a coexistence state identifier representing the state required for fault determination of the non-coexistence of the two identifiers is generated. This coexistence state identifier is a fixed state identifier that specifically indicates whether the two identifiers simultaneously meet the fault determination requirements. By completing the generation operation of this identifier, the corresponding coexistence state identifier can be obtained.

[0050] Based on the coexistence state identifier, the phase characteristic quantity is assigned a state to obtain the fault confirmation identifier of the phase characteristic quantity; The phase characteristic quantity is assigned a state based on the coexistence state identifier to obtain the fault confirmation identifier of the phase characteristic quantity. When assigning the state, the specific state representation content of the coexistence state identifier is first retrieved from the SCADA system of the power supply monitoring at the construction site. If the coexistence state identifier is an identifier representing the state required for fault determination of two coexisting identifiers, the phase characteristic quantity is assigned a fault confirmation state, and a fault confirmation identifier representing that the phase characteristic quantity meets the fault determination standard is generated. If the coexistence state identifier is an identifier representing the state required for fault determination of two non-coexisting identifiers, the phase characteristic quantity is assigned a non-fault confirmation state, and a fault confirmation identifier representing that the phase characteristic quantity does not meet the fault determination standard is generated. This fault confirmation identifier is a fixed state identifier that specifically identifies whether the phase characteristic quantity of the suspected faulty line meets the fault determination requirements. After completing the generation operation of this identifier, the fault confirmation identifier corresponding to the phase characteristic quantity can be obtained.

[0051] Based on the fault confirmation mark, the suspected faulty lines are identified, and the faulty lines at the construction site are obtained. Based on the fault confirmation identifier, suspected faulty lines are identified, and the faulty lines at the construction site are determined. During fault identification, the specific status representation of the fault confirmation identifier is retrieved from the SCADA system monitoring the power supply at the construction site. If the fault confirmation identifier represents a phase characteristic quantity that meets the fault judgment criteria, a unique fault identification identifier is added to the suspected faulty line in the SCADA system. This identifier clearly marks the line attribute as a faulty line at the construction site. Simultaneously, the fault status of this line is synchronized in real time to the line monitoring interface of the SCADA system, enabling a visual display of the faulty line's status. After completing the addition of the fault identification identifier and the synchronization of the fault status, the suspected faulty line is officially identified as a faulty line at the construction site. Completing all fault identification operations yields the corresponding faulty line at the construction site.

[0052] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0053] This application embodiment can acquire and process relevant data based on artificial intelligence technology. Artificial intelligence is the theory, method, technology, and application system that uses digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use that knowledge to obtain optimal results.

[0054] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for monitoring the temporary power supply status at construction sites using a SCADA system, characterized in that, The method includes: S1: continuously comparing the zero-sequence current data at the construction site, and marking the power distribution lines with weak fluctuations that exceed the set time and are below the action threshold as suspected fault lines at the construction site. S2: Extract the zero-sequence current phase characteristics of the suspected faulty line under healthy conditions, and use them as the capacitive phase reference value of the suspected faulty line. S3: Apply the preset characteristic impedance to the end of the suspected faulty line to obtain the characteristic disturbance current on the suspected faulty line. The process is as follows: Based on the line topology information of the suspected faulty line, the location of the terminal node of the suspected faulty line is identified to obtain the terminal access node of the suspected faulty line. The preset characteristic impedance is incorporated into the end access node to establish an electrical connection between the characteristic impedance and the end access node; Based on the electrical connection relationship, a voltage excitation is applied to the suspected faulty line to form a disturbance current flow path between the characteristic impedance and the suspected faulty line; Based on the path of the disturbance current, the current is sampled at the connection point of the characteristic impedance to obtain the steady-state current waveform record of the characteristic impedance. The steady-state current waveform record is calibrated to obtain the characteristic disturbance current on the suspected faulty line. S4: Synchronously acquire the injection response of the characteristic disturbance current to obtain the injection response waveform data of the suspected faulty line; S5: Perform phase analysis on the injected response waveform data to obtain the phase characteristic quantities of the injected response waveform data; S6: Distinguish between the phase characteristic quantity and the capacitive phase reference value. If the phase characteristic quantity exhibits resistive hysteresis characteristics and exceeds the preset phase offset threshold, remark the suspected faulty line as a faulty line at the construction site.

2. The method for monitoring the temporary power supply status at a construction site using a SCADA system as described in claim 1, characterized in that, The suspected faulty line marked as being at the construction site is described as follows: Current recording was performed on the power distribution lines at the construction site to obtain the zero-sequence current data sequence of the power distribution lines; By scanning the zero-sequence current data sequence point by point, the zero-sequence current fluctuation curve of the power distribution line is obtained. Based on the zero-sequence current fluctuation curve, the amplitude fluctuation of the zero-sequence current in the distribution line is analyzed over a continuous period to obtain the amplitude variation and duration of the zero-sequence current in the distribution line. The amplitude variation and duration of the zero-sequence current are compared with the preset action threshold and the preset duration threshold, respectively, to obtain the amplitude status identifier and duration status identifier of the power distribution line. If the amplitude status indicator shows that the zero-sequence current amplitude change is consistently lower than the action threshold, and the duration status indicator shows that the fluctuation duration exceeds the duration threshold, the corresponding power distribution line will be marked as a suspected fault line at the construction site.

3. The method for monitoring the temporary power supply status at a construction site using a SCADA system as described in claim 2, characterized in that, The process of obtaining the amplitude variation and duration of the zero-sequence current in a power distribution line is as follows: Based on the zero-sequence current fluctuation curve, the zero-sequence current amplitude of the power distribution line is segmented by time period to obtain the zero-sequence current fluctuation segment of the power distribution line in a continuous time period. Extreme value search is performed on the zero-sequence current amplitude fluctuation segment to obtain the maximum and minimum zero-sequence current amplitude of the distribution line in a continuous time period; The difference between the maximum and minimum values ​​of the zero-sequence current amplitude is calculated to obtain the variation range of the zero-sequence current amplitude in the power distribution line. Time-domain features are extracted from the zero-sequence current amplitude fluctuation segment to obtain the fluctuation duration of the power distribution line.

4. The method for monitoring the temporary power supply status at a construction site using a SCADA system as described in claim 1, characterized in that, The process for using the capacitive phase reference value as a suspected faulty line is as follows: By filtering the historical operating data of suspected faulty lines by time period, the historical zero-sequence current of the suspected faulty lines under healthy conditions can be obtained. Phase analysis of the zero-sequence current historical records yields the phase characteristics of the zero-sequence current in suspected faulty lines. The zero-sequence current phase characteristic is set as the capacitive phase reference value for the suspected faulty line.

5. The method for monitoring the temporary power supply status at a construction site using a SCADA system as described in claim 1, characterized in that, The process of creating a disturbance current path between the characteristic impedance and the suspected faulty line is as follows: Based on the electrical connection relationship, the voltage application point is located at the access node with characteristic impedance to obtain the voltage excitation application node of the suspected faulty line; Based on the voltage excitation application node, voltage injection is performed on the suspected faulty line to establish the voltage difference driving state between the voltage excitation application node and the characteristic impedance. Based on the voltage difference driving state, a current path is established between the characteristic impedance and the suspected faulty line to obtain the disturbance current flow path between the characteristic impedance and the suspected faulty line.

6. The method for monitoring the temporary power supply status at a construction site using a SCADA system as described in claim 1, characterized in that, The process of obtaining the injection response waveform data of the suspected faulty line is as follows: Based on the injection time of the characteristic disturbance current, the voltage and current signals of the suspected faulty line are sampled synchronously to obtain the instantaneous voltage sampling data and instantaneous current sampling data of the suspected faulty line. By extracting the instantaneous voltage and current sampling data during the response period, voltage waveform segments and current waveform segments during the injection period of the suspected faulty line are obtained. By correlating and integrating the voltage waveform segment and the current waveform segment during the injection period, the injection response waveform data of the suspected faulty line is obtained.

7. The method for monitoring the temporary power supply status at a construction site using a SCADA system as described in claim 3, characterized in that, The process of obtaining the phase characteristic of the injected response waveform data is as follows: The fundamental frequency waveform record of the injection response waveform data is obtained by deconstructing the injected response waveform data. Based on the capacitive phase reference value, the fundamental frequency waveform record is phase reference aligned to obtain the phase offset waveform of the fundamental frequency waveform record relative to the capacitive phase reference value; Based on the phase offset waveform, peak value is extracted from the phase offset waveform to obtain the peak phase offset amount of the phase offset waveform; By performing attribute deconstruction on the peak phase offset, the phase characteristic of the injected response waveform data is obtained.

8. The method for monitoring the temporary power supply status at a construction site using a SCADA system as described in claim 1, characterized in that, The process of remarking suspected faulty lines as faulty lines is as follows: Based on the capacitive phase reference value, identify whether the phase characteristic quantity exhibits resistive hysteresis characteristics, and obtain the resistive hysteresis attribute identifier of the phase characteristic quantity; The preset phase offset threshold is compared with the threshold verification of the phase feature quantity to obtain the threshold exceedance indicator of the phase feature quantity. By logically combining the resistive hysteresis attribute identifier and the threshold exceedance identifier, a fault confirmation identifier of the phase characteristic quantity is obtained. Based on the fault confirmation markers, the suspected faulty lines are identified, and the faulty lines at the construction site are obtained.

9. The method for monitoring the temporary power supply status at a construction site using a SCADA system as described in claim 8, characterized in that, The process for obtaining the fault confirmation identifier of the phase characteristic quantity is as follows: The existence of resistive hysteresis attribute identifier and threshold exceedance identifier is verified to obtain the coexistence determination criteria of resistive hysteresis attribute identifier and threshold exceedance identifier. Based on the coexistence determination criteria, the resistive hysteresis attribute identifier and the threshold exceedance identifier are logically combined to obtain the coexistence status identifier of the resistive hysteresis attribute identifier and the threshold exceedance identifier. Based on the coexistence state identifier, the phase characteristic quantity is assigned a state to obtain the fault confirmation identifier of the phase characteristic quantity.

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