A construction temporary power utilization state abnormality monitoring method based on internet of things perception

Abstract

The application discloses a kind of based on construction temporary power utilization state abnormality monitoring method of sensing of Internet of Things, it is related to the technical field of temporary power supply monitoring of Internet of Things, including, in construction temporary power utilization field layout sensing node of Internet of Things, to temporary power distribution object carries out Internet of Things data acquisition, and the power sensing data of collection is time series arrangement, node binding and state coding, generates electric real-time state data frame;Based on electric real-time state data frame, to target power distribution branch superimposes low amplitude short time tracer signal, according to the response of target power distribution branch and associated power node to tracer signal, form tracer electric state feature, and determine node response matching relationship based on tracer electric state feature, according to node response matching relationship to initial power supply topology carries out self-correction, obtains temporary power utilization topology relationship;The application reaches the effect of improving abnormal positioning accuracy and disposal pertinence.

Description

Technical Field

[0001] This invention relates to the field of temporary power supply IoT monitoring technology, and in particular to a method for monitoring abnormal temporary power supply status during construction based on IoT sensing. Background Technology

[0002] As the safety management of temporary power supply at construction sites gradually moves towards informatization and online operation, existing technologies have begun to deploy sensing devices for current, voltage, leakage current, temperature, power, and switch status at main distribution boxes, sub-distribution boxes, switch boxes, and key electrical equipment. These devices are then used to collect IoT data through edge gateways, communication modules, and monitoring platforms. Through IoT data collection, managers can obtain the operating parameters of temporary power distribution objects, remotely alert to abnormal conditions such as overload, leakage, overtemperature, and circuit breakers, and generate power consumption records, alarm records, and equipment operation ledgers, thereby improving the real-time nature and traceability of temporary power supply management at construction sites.

[0003] Temporary construction power systems are characterized by frequent branch adjustments, high equipment mobility, significant load start-stop changes, and easily changing on-site wiring conditions. Existing monitoring methods based on IoT data acquisition mostly rely on initially registered power distribution relationships and single-point thresholds for anomaly detection. While they can reflect local electrical parameter changes, they lack dynamic correction and joint identification mechanisms to ensure consistency between the acquisition node and the actual power supply path, whether the abnormal state propagates along the power supply topology, and whether changes in electrical state match changes in temperature rise. When situations such as construction machinery impacting electricity, normal load switching, and hidden poor contact intertwine, the location and impact range of the anomaly source are difficult to accurately determine, affecting the targeted nature of subsequent early warning, load limiting, and power outage responses. Summary of the Invention

[0004] In view of the aforementioned existing problems, the present invention is proposed.

[0005] Therefore, this invention provides a method for monitoring abnormal temporary power supply status during construction based on Internet of Things (IoT) sensing, which solves the problems of difficulty in dynamically correcting the relationship between the data acquisition node and the actual power supply topology and the difficulty in accurately defining the scope of abnormal impact.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: This invention provides a method for monitoring abnormal temporary construction power supply status based on Internet of Things (IoT) sensing, comprising: IoT sensing nodes are deployed at the construction site for temporary power supply to collect IoT data from temporary power distribution objects. The collected power consumption sensing data is then processed in a time sequence, with nodes bound and status encoded to generate real-time power status data frames. Based on these real-time power status data frames, low-amplitude short-time tracer signals are superimposed onto the target power distribution branches. The responses of the target power distribution branches and associated power consumption nodes to the tracer signals are used to form tracer power status characteristics. Based on these characteristics, node response matching relationships are determined. The initial power supply topology is then self-corrected based on these matching relationships to obtain the temporary power supply topology. The system integrates temporary power supply topology relationships and real-time power status data frames to form temporary power status characteristics. It then identifies power status anomalies based on these characteristics, obtaining topological electrothermal consistency constraints. These constraints differentiate between operational disturbances and hidden power supply hazards, resulting in abnormal temporary power supply states. Based on these abnormal states and the temporary power supply topology relationships, the system determines the location and impact range of the anomaly source, generates power supply handling control parameters, and sequentially executes early warning control, load limiting control, and power outage control according to these parameters. Finally, it generates monitoring information on abnormal temporary power supply during construction, based on the handling feedback.

[0007] As a preferred embodiment of the IoT-based method for monitoring abnormal status of temporary construction power supply according to the present invention, the specific steps for deploying IoT sensing nodes at the temporary construction power supply site are as follows: IoT sensing nodes are deployed according to the power supply path of the temporary power supply site, and node binding relationships between IoT sensing nodes and temporary power distribution objects are established based on the location of the IoT sensing nodes on the power supply path. The hierarchical relationship between adjacent IoT sensing nodes on the same power supply path is written into the field edge gateway to form the node deployment relationship.

[0008] As a preferred embodiment of the IoT-based method for monitoring abnormal temporary power consumption during construction as described in this invention, the steps of collecting IoT data from temporary power distribution objects and performing time-series processing, node binding, and status encoding on the collected power consumption sensing data to generate real-time power status data frames are as follows: According to the node deployment relationship, the IoT sensing nodes are controlled to synchronously sample the temporary power distribution objects, and the power consumption sensing data within the same collection window are processed in time sequence based on a unified time reference to obtain the node time sequence power consumption data. Based on the node binding relationship, the node time-series power consumption data is assigned to the corresponding temporary power distribution object, and the power supply status of the temporary power distribution object is encoded to generate a real-time power status data frame.

[0009] As a preferred embodiment of the IoT-based method for monitoring abnormal temporary construction power supply status according to the present invention, the step of superimposing a low-amplitude short-time tracer signal onto the target power distribution branch based on real-time power status data frames includes the following specific steps: Match the real-time power status data frames with the node deployment relationship to obtain the node affiliation verification status of each power supply path. Filter the distribution branches that have node affiliation verification requirements and meet the tracer injection conditions to obtain the target distribution branches. Based on the hierarchical relationship of the target distribution branch in the node layout, the tracer injection position is generated, and based on the power consumption change status of the target distribution branch in the current acquisition window, the tracer signal characteristic parameters are generated. The field edge gateway generates tracer control commands based on the tracer injection location and tracer signal characteristic parameters, and superimposes low-amplitude short-time tracer signals onto the target power distribution branch according to the tracer control commands to form a tracer acquisition window with tracer markers.

[0010] As a preferred embodiment of the IoT-based method for monitoring abnormal temporary construction power consumption, the specific steps for forming tracer power status characteristics based on the response of the target power distribution branch and associated power consumption nodes to the tracer signal are as follows: Within the tracer acquisition window with tracer markers, response segments are extracted from the node time-series power consumption data of the target power distribution branch and associated power consumption nodes to obtain tracer response data segments. The tracer response data segments are matched with the tracer signal characteristic parameters to obtain the tracer response dynamic characteristics. Then, according to the sampling time sequence and node layout relationship, the tracer response dynamic characteristics are continuously calibrated and the nodes are associated to form the node tracer response trajectory. Based on the node deployment relationship, the node tracer response trajectory of the target power distribution branch and the node tracer response trajectory of the associated power consumption node are correlated across nodes to generate tracer electrical state characteristics.

[0011] As a preferred embodiment of the IoT-based method for monitoring abnormal temporary power supply status during construction as described in this invention, the steps of determining node response matching relationships based on tracer power state characteristics and performing self-correction on the initial power supply topology based on the node response matching relationships to obtain the temporary power supply topology are as follows: The transmission direction of the tracer electrical state characteristics is restored, and a tracer transmission sequence is generated according to the response order of the tracer signal between the target power distribution branch and the associated power consumption node. The tracer transmission sequence is imported into the temporary topology state diagram. In the temporary topology state diagram, the IoT sensing node is used as the state node, the adjacent power supply relationship is used as the candidate connection edge, and the response consistency degree is generated for the candidate connection edge. Based on response consistency, the candidate connection edges between the target power distribution branch and the associated power consumption node are classified to obtain the node response candidate matching relationship. The node response candidate matching relationship is conflict-identified with the connection relationship in the initial power supply topology. The confidence of the conflicting connection relationship is corrected by combining the response repeatability in multiple trace acquisition windows to obtain the node response matching relationship. Based on the node response matching relationship, the branch affiliation relationship and the upper and lower level connection relationship in the initial power supply topology are reconstructed to generate the temporary power supply topology relationship.

[0012] As a preferred embodiment of the IoT-based method for monitoring abnormal status of temporary construction power supply as described in this invention, the steps of fusing temporary power supply topology relationships and real-time power status data frames to form temporary power supply status features, identifying abnormal power status based on these features, and obtaining topological electrothermal consistency constraints are as follows: The real-time power status data frames are mapped to the corresponding nodes and power supply paths in the temporary power topology to form a temporary power status relationship diagram. The temporary power status relationship diagram is then associated with paths according to the upper and lower level connection directions to obtain the temporary power status characteristics. By correlating and identifying the changes in electrical state and thermal state in the characteristics of the electrical state, an electrothermal correlation state is obtained. Based on the transmission direction and deviation of the electrothermal correlation state in the power supply path, a topological electrothermal consistency constraint is generated to distinguish between operating condition disturbances and hidden electrical hazards.

[0013] As a preferred embodiment of the IoT-based method for monitoring abnormal temporary power supply status during construction as described in this invention, the specific steps for distinguishing between operational disturbances and hidden power supply hazards based on topological electrothermal consistency constraints to obtain the abnormal temporary power supply status are as follows: By comparing the electrothermal correlation state with the topological electrothermal consistency constraint, the node segments in the power supply path that maintain the corresponding relationship between changes in electrical state and changes in thermal state are identified, and the consistent state segments are obtained. For node segments that do not meet the topological electrothermal consistency constraint, the deviation position and deviation direction between the electrical state change and the thermal state change are extracted to form an electrothermal deviation state segment; According to the temporary power supply topology, the transmission direction of the electric heating deviation state segment is tracked. If the electric heating deviation state segment corresponds to the load change direction, the transmission direction of the upper and lower level nodes and the load fall-off process, the operating condition disturbance judgment information is generated. If the electric heating deviation state segment does not correspond to the load change direction, and the load remains in the power supply path corresponding to the local node after falling back, a hidden danger residence relationship is generated. Based on the consistent state segment, operating condition disturbance judgment information, and hidden danger residence relationship, the abnormal state of temporary power distribution objects is marked to obtain the abnormal state of temporary power consumption.

[0014] As a preferred embodiment of the IoT-based method for monitoring abnormal temporary construction power supply status according to the present invention, the specific steps for determining the location and impact range of the abnormal source based on the abnormal temporary power supply status and the temporary power supply topology, and generating power supply control parameters, are as follows: The abnormal state of temporary power supply is mapped to the corresponding node segment in the temporary power supply topology, and upstream backtracking and downstream verification are performed along the power supply path to determine the location of the abnormal source. Starting from the location of the anomaly source, the power supply path boundary affected by the anomaly transmission in the temporary power supply topology is identified to obtain the range of anomaly influence. Power supply handling control parameters are then generated based on the location of the anomaly source, the range of anomaly influence, and the abnormal state of temporary power supply.

[0015] As a preferred embodiment of the IoT-based method for monitoring abnormal temporary construction power supply status according to the present invention, the steps of sequentially executing early warning control, load limiting control, and power outage control according to power supply handling control parameters, and generating abnormal monitoring information of temporary construction power supply based on handling feedback, are as follows: Determine the handling level and target power supply path based on the power consumption handling control parameters, and execute early warning control on the temporary power distribution objects corresponding to the abnormal source location and the abnormal impact range to generate early warning handling status; If the abnormal temporary power supply status is not eliminated under the early warning and handling status, determine the downstream power supply path of the load that needs to be restricted according to the temporary power supply topology, and execute load limiting control to generate a load limiting status. If there are still hidden power consumption hazards under the load limit treatment state, power outage control is performed on the power supply path where the abnormal source is located, and the data frames of the early warning treatment state, the load limit treatment state and the real-time power status after treatment are correlated to generate construction temporary power consumption abnormal monitoring information.

[0016] The beneficial effects of this invention are as follows: real-time electrical status data frames are generated through IoT data acquisition, providing a data foundation for identifying anomalies in temporary construction power supply; node response matching relationships are determined and power supply topology is corrected through tracer signals, achieving dynamic matching between acquisition nodes and actual power supply paths; and the operating condition disturbances and hidden power supply hazards are distinguished by combining topology electrothermal consistency constraints, and graded handling is carried out according to the location and impact range of the anomaly source, thereby improving the accuracy of anomaly location and the targeted nature of handling. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a flowchart of a method for monitoring abnormal temporary power supply status during construction based on Internet of Things (IoT) sensing.

[0019] Figure 2 A flowchart for generating temporary power supply topology relationships.

[0020] Figure 3 A flowchart for generating topological electrothermal consistency constraints.

[0021] Figure 4 A flowchart for generating temporary power outages. Detailed Implementation

[0022] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0023] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0024] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0025] Reference Figures 1-4 This is one embodiment of the present invention, which provides a method for monitoring abnormal status of temporary construction power supply based on Internet of Things (IoT) sensing, including the following steps: S1. Deploy IoT sensing nodes at the temporary power supply site during construction to collect IoT data from the temporary power distribution objects. Then, perform time-series processing, node binding, and status coding on the collected power consumption sensing data to generate real-time power status data frames.

[0026] IoT sensing nodes are deployed according to the power supply path of the temporary power supply site, and node binding relationships are established between IoT sensing nodes and temporary power distribution objects based on the location of the IoT sensing nodes on the power supply path.

[0027] Furthermore, according to the power supply route from the main distribution box, sub-distribution box, and switch box to the electrical equipment at the construction site, each power supply branch is divided into several node installation positions. Internet of Things (IoT) sensing nodes are installed at the outgoing end of the main distribution box, the incoming end of the sub-distribution box, and the outgoing end of the switch box, so that the IoT sensing nodes are located at the electrical connection positions of the corresponding temporary power distribution objects.

[0028] Each IoT sensing node is configured with a node number, and the node number is associated with the temporary power distribution object number, power supply branch number, distribution box level, circuit name, and installation location identifier to form a node binding relationship. This is used to indicate that the data collected by the IoT sensing node belongs to the corresponding temporary power distribution object, and to provide a basis for subsequent node identification, branch differentiation, and topology correction of power consumption sensing data.

[0029] The hierarchical relationship between adjacent IoT sensing nodes on the same power supply path is written into the field edge gateway to form the node deployment relationship.

[0030] Furthermore, the electrical connection sequence between adjacent IoT sensing nodes is determined along the same power supply path. IoT sensing nodes closer to the power supply side are marked as superior nodes, and IoT sensing nodes closer to the power-consuming equipment side are marked as subordinate nodes. The superior node number, subordinate node number, power supply branch number, and corresponding temporary power distribution object number are grouped and registered.

[0031] The on-site edge gateway receives the node association information after group registration and establishes a node hierarchy table according to the power supply path direction. The node hierarchy table stores the superior node number, subordinate node number, power distribution level and branch affiliation information of each IoT sensing node, forming a node deployment relationship. This is used to limit the superior and subordinate sources of power consumption sensing data in the same power supply path, providing a basis for subsequent power supply topology correction and abnormal location positioning.

[0032] According to the node deployment relationship, the IoT sensing nodes are controlled to synchronously sample temporary power distribution objects, and the power consumption sensing data within the same collection window is processed in time sequence based on a unified time reference to obtain the node time sequence power consumption data.

[0033] Furthermore, the on-site edge gateway, based on the node deployment relationship, determines the sampling objects, branch affiliations, and sampling order of each IoT sensing node within the same power supply path, and issues synchronous sampling instructions to the corresponding IoT sensing nodes. Following the synchronous sampling instructions, the IoT sensing nodes collect data on the current, voltage, temperature, leakage current status, and switch status of temporary power distribution objects within the same acquisition window, and append node numbers, power supply branch numbers, and acquisition time identifiers to the collected power consumption sensing data.

[0034] For power consumption sensing data from different IoT sensing nodes within the same acquisition window, the field edge gateway aligns the acquisition time markers based on a unified time base and organizes the data according to the power supply path direction and node hierarchy. Power consumption sensing data with time deviations within the allowable synchronization range are grouped into the same acquisition window, forming node time-series power consumption data that includes node number, acquisition time, branch affiliation, and power consumption status value, providing a data foundation for subsequent node binding and status coding.

[0035] Based on the node binding relationship, the node time-series power consumption data is assigned to the corresponding temporary power distribution object, and the power supply status of the temporary power distribution object is encoded to generate a real-time power status data frame.

[0036] Furthermore, after the node time-series power consumption data enters the field edge gateway, the corresponding node binding relationship is found based on the node number and power supply branch number. Data belonging to the same temporary power distribution object within the same acquisition window is aggregated into an object power consumption record. The object power consumption record retains the acquisition time, node number, branch affiliation, voltage status, current status, temperature status, leakage status, and switch status, which are used to distinguish the source of power consumption status under different power distribution levels and different power supply branches.

[0037] After completing object aggregation, the field edge gateway matches the power supply status value of each temporary power distribution object with the preset status coding rules, converting power supply statuses such as normal power supply, overload, undervoltage, overtemperature, leakage, disconnection, and communication abnormality into corresponding status identifiers. The temporary power distribution object number, node number, acquisition window identifier, branch affiliation information, and status identifier are combined and encapsulated to form a real-time power status data frame, which is used to represent the real-time power supply status of each temporary power distribution object in the current acquisition window and provides input for subsequent tracer signal response analysis and power supply topology correction.

[0038] S2. Based on the real-time electrical status data frame, a low-amplitude short-time tracer signal is superimposed on the target power distribution branch. According to the response of the target power distribution branch and associated power consumption nodes to the tracer signal, tracer electrical status characteristics are formed. Based on the tracer electrical status characteristics, the node response matching relationship is determined. The initial power supply topology is self-corrected according to the node response matching relationship to obtain the temporary power consumption topology relationship.

[0039] The real-time power status data frames are matched with the node deployment relationship to obtain the node ownership verification status of each power supply path. Distribution branches that have node ownership verification requirements and meet the tracer injection conditions are screened to obtain the target distribution branches.

[0040] Furthermore, after the real-time power status data frame enters the field edge gateway, the field edge gateway matches the temporary power distribution object number, node number, power supply branch number, and acquisition window identifier with the node hierarchy, adjacent node relationship, and branch affiliation information recorded in the node deployment relationship; it verifies the hierarchical order of IoT sensing nodes in the same branch, the binding consistency between temporary power distribution objects and IoT sensing nodes, and the continuity of power supply status of upper and lower level nodes in the same acquisition window along the power supply path to obtain the node affiliation verification status of each power supply path.

[0041] Node attribution verification status includes consistent attribution, missing node hierarchy, cross-attribution of branches, abnormal superior-subordinate relationship, and inconsistent binding object. When a power supply path is in at least one of the following states: missing node hierarchy, cross-attribution of branches, abnormal superior-subordinate relationship, or inconsistent binding object, the field edge gateway will mark the corresponding distribution branch as having a node attribution verification requirement. Combining the voltage, current, switch, and communication status in the real-time power status data frame, the gateway will perform tracer injection condition judgment on the distribution branch with node attribution verification requirement, and determine the distribution branch that is in the energized state, switch closed state, normal communication state, and not in the overload protection state as the target distribution branch.

[0042] It should be noted that the tracer injection conditions are set by the field edge gateway based on the rated power supply parameters of the power distribution branch, the status of the protection device, the amplitude and duration constraints of the tracer signal, and the real-time operating status in the real-time electrical status data frame.

[0043] Based on the hierarchical relationship of the target power distribution branch in the node layout, the tracer injection position is generated, and based on the power consumption change status of the target power distribution branch in the current acquisition window, the tracer signal characteristic parameters are generated.

[0044] Furthermore, based on the connection positions of the superior nodes, subordinate nodes, and temporary power distribution objects recorded in the node deployment relationship, the field edge gateway determines that the tracer signal should be superimposed on the power supply side node, branch access point, or switch box outgoing side node of the target power distribution branch, and generates a tracer injection position containing branch number, injection node number, adjacent response node number, and power distribution level information.

[0045] The power consumption change status is determined by the voltage fluctuations, current changes, load start / stop status, and switch status of the target distribution branch within the current acquisition window. The field edge gateway adjusts the amplitude level, duration, injection interval, and injection identifier of the tracer signal according to the power consumption change status, so that the tracer signal can be distinguished from the normal power consumption fluctuations of the target distribution branch, and generates tracer signal characteristic parameters.

[0046] It should be noted that the tracer signal characteristic parameters include the tracer signal amplitude level, duration, injection interval, injection frequency, injection window identifier, and branch identifier, which are used to limit the superposition method of subsequent tracer signals and provide a comparison benchmark for the response identification of associated power consumption nodes.

[0047] The field edge gateway generates tracer control commands based on the tracer injection location and tracer signal characteristic parameters, and superimposes low-amplitude short-time tracer signals onto the target power distribution branch according to the tracer control commands to form a tracer acquisition window with tracer markers.

[0048] Furthermore, after the tracer injection location and tracer signal characteristic parameters are determined, the field edge gateway generates tracer control commands. The tracer control commands include the target power distribution branch number, injection node number, injection start time, tracer amplitude level, duration, injection interval, and tracer window identifier. The tracer control commands are used to control the tracer injection unit to output low-amplitude short-time voltage disturbances or current disturbances at the injection node corresponding to the target power distribution branch, so that the tracer signal is superimposed on the normal power supply signal of the target power distribution branch.

[0049] During the superposition of tracer signals, the field edge gateway defines the corresponding acquisition window according to the injection start time and duration, and writes the tracer window identifier, target power distribution branch number and injection node number into the acquisition window record, so that the node power consumption data collected in the same time period are marked with tracer, forming a tracer acquisition window, which is used to limit the time range and branch range of subsequent response identification, and avoid misjudging ordinary load fluctuations as tracer responses.

[0050] Within the tracer acquisition window with tracer markers, response segments are extracted from the node timing power consumption data of the target power distribution branch and associated power consumption nodes to obtain tracer response data segments.

[0051] Furthermore, the field edge gateway extracts the corresponding node of the target power distribution branch and the data sequence of associated power consumption nodes that have a hierarchical connection with the target power distribution branch from the node time-series power consumption data within the same acquisition window, according to the tracer window identifier, target power distribution branch number and injection node number.

[0052] In the data sequence, the field edge gateway uses the injection start time and duration of the tracer signal as a reference to extract local data segments corresponding to voltage fluctuations, current fluctuations, switch state changes, and sampling time identifiers. The local data segments are then compared with the amplitude level, duration, and injection interval in the tracer signal characteristic parameters. Data segments that match the tracer signal change characteristics are marked as tracer response segments and encapsulated according to node number, branch number, response time, response amplitude, and response duration to obtain tracer response data segments.

[0053] The tracer response data segments are matched with the tracer signal characteristic parameters to obtain the tracer response dynamic characteristics. Then, according to the sampling time sequence and node layout relationship, the tracer response dynamic characteristics are continuously calibrated and the nodes are associated to form the node tracer response trajectory.

[0054] Furthermore, the field edge gateway uses the tracer window identifier and the target power distribution branch number as indexes to call the corresponding tracer signal characteristic parameters, and matches the response amplitude, response start and end time, response duration, fluctuation direction and response interval of each IoT sensing node with the amplitude level, duration and injection interval in the tracer signal characteristic parameters to obtain the tracer response dynamic characteristics including response intensity changes, response delay, attenuation changes and following consistency.

[0055] Within the scope of the hierarchical node order, branch affiliation, and power distribution hierarchy defined by the node deployment relationship, the field edge gateway uses the tracer signal injection start time as a reference to arrange the dynamic characteristics of the tracer response of each IoT sensing node according to the sampling time, and labels each response segment with the response sequence number, response start and end time, duration, response interval, fluctuation direction, and amplitude change level. When the time interval between adjacent response segments falls within the continuous time range set according to the sampling period and tracer duration, and the fluctuation direction is consistent and the amplitude change level corresponds to the tracer signal characteristic parameters, the adjacent response segments are marked as the same continuous response. When any of the following occurs: the time interval exceeds the continuous time range, the fluctuation direction is inconsistent, or the amplitude change level is mismatched, the corresponding response segment is marked as an intermittent response.

[0056] Based on the node deployment relationship, the node tracer response trajectory of the target power distribution branch and the node tracer response trajectory of the associated power consumption node are correlated across nodes to generate tracer electrical state characteristics.

[0057] Furthermore, the hierarchical connection order, branch affiliation, and power distribution level defined by the node deployment relationship serve as the basis for cross-node association. The field edge gateway uses the node tracer response trajectory of the target power distribution branch as a reference trajectory and compares the node tracer response trajectories of the associated power consumption nodes in the order of sampling time to verify whether the time delay, fluctuation direction, amplitude attenuation, and response duration between the response of the target power distribution branch and the response of the associated power consumption node conform to the transmission relationship on the power supply path.

[0058] For IoT sensing nodes that are on the same power supply path and have a sequential relationship in response time, the field edge gateway marks the corresponding nodes as the same tracer response link and records the target power distribution branch number, response node number, upper and lower level node relationship, response delay, amplitude attenuation level and response consistency identifier. The tracer electrical state characteristics are composed of the response link, response delay, attenuation change, node affiliation status and consistency identifier, which are used to indicate the electrical state transmission of the tracer signal between the target power distribution branch and the associated power consumption node.

[0059] The transmission direction of the tracer electrical state characteristics is restored, and a tracer transmission sequence is generated according to the response sequence of the tracer signal between the target power distribution branch and the associated power consumption node.

[0060] Furthermore, taking the IoT sensing node corresponding to the tracer injection location as the transmission starting point, the response time, response delay, response amplitude attenuation level, fluctuation direction, and hierarchical connection relationship of each effective response node are extracted from the tracer electrical state characteristics. The field edge gateway determines the node that is closer to the injection location and has an earlier response time as the preceding response node, and the node that is farther away from the injection location and has a later response time as the following response node, according to the power supply path direction in the node deployment relationship. It also verifies whether the preceding response node and the following response node satisfy the hierarchical connection relationship and the increasing response delay relationship.

[0061] Under the conditions that the power supply path connection relationship, the response time is sequentially delayed, the fluctuation direction is consistent, and the amplitude attenuation conforms to the transmission law, the field edge gateway will arrange the corresponding nodes according to the response occurrence order, and mark the sequence position, node number, response time, response delay and branch level of each node; the sorted node information is combined to form a tracer transmission sequence, which is used to represent the path and order of the tracer signal being transmitted from the target power distribution branch to the associated power consumption node level by level, providing a basis for subsequent node response matching relationship judgment.

[0062] The tracer transmission sequence is imported into a temporary topology state graph. In the temporary topology state graph, IoT sensing nodes are used as state nodes, adjacent power supply relationships are used as candidate connection edges, and response consistency is generated for the candidate connection edges.

[0063] Furthermore, in the temporary topology state diagram, each state node corresponds to an IoT sensing node. The state node contains the node number, temporary power distribution object number, power supply branch number, power distribution level, superior node number, subordinate node number, and current tracer response identifier. The field edge gateway maps the node numbers in the tracer transmission sequence to the state nodes one by one, and writes the response sequence number, response time, response delay, amplitude attenuation level, and fluctuation direction identifier into the corresponding state node, so that each state node has the response position and response sequence within the current tracer acquisition window.

[0064] Candidate connection edges are generated based on the power supply connection relationship between adjacent state nodes. Within the same power supply branch, the field edge gateway connects two state nodes registered as hierarchical in the node deployment relationship as candidate connection edges, and writes the upper-level node number, lower-level node number, branch number, connection level, and candidate connection identifier into the candidate connection edge. For each candidate connection edge, the field edge gateway compares the response time difference, response order, fluctuation direction, amplitude attenuation level, and duration matching of the two end state nodes. When the response time difference falls within the allowable transmission time range, the response order conforms to the power supply direction, the fluctuation direction is consistent, the amplitude attenuates as expected, and the duration matches each other, the candidate connection edge is marked as having high response consistency. If some conditions are not met, it is marked as having low response consistency. Response consistency is used to indicate whether the candidate connection edge can reflect the actual transmission relationship of the tracer signal between adjacent IoT sensing nodes.

[0065] It should be noted that the temporary topology state diagram is constructed by the field edge gateway based on node binding relationships and node deployment relationships, by converting IoT sensing nodes into state nodes, converting adjacent power supply relationships into candidate connection edges, and writing the response information in the trace transmission sequence into the corresponding state nodes.

[0066] Based on response consistency, the candidate connection edges between the target power distribution branch and the associated power consumption node are classified to obtain the node response candidate matching relationship.

[0067] Furthermore, based on response consistency, when determining the affiliation of candidate connection edges between the target power distribution branch and associated power consumption nodes, the field edge gateway uses the injection node corresponding to the target power distribution branch as the reference node, and judges the response order, response time difference, fluctuation direction, amplitude attenuation level and response duration of the state nodes at both ends of the candidate connection edge according to the connection direction of the candidate connection edge. When a state node closer to the injection node generates a tracer response earlier than a state node farther from the injection node, and the response order is consistent with the power supply direction in the node layout relationship, the candidate connection edge is determined to meet the response order condition; when the response time difference between the two state nodes falls within the allowable transmission time range, the candidate connection edge is determined to meet the response time condition; when the electrical state fluctuation direction of the two state nodes is consistent with the rise, fall, and same-direction disturbance change corresponding to the tracer signal, the candidate connection edge is determined to meet the fluctuation direction condition; when the lower-level state node forms an amplitude attenuation within the allowable range relative to the upper-level state node, and the amplitude attenuation level meets the preset consistency requirement, the candidate connection edge is determined to meet the amplitude attenuation condition; when the response duration of the two state nodes covers the effective response interval corresponding to the tracer signal, the candidate connection edge is determined to meet the continuous response condition.

[0068] When the response sequence condition, response time condition, fluctuation direction condition, amplitude attenuation condition, and continuous response condition are all met, the field edge gateway marks the candidate connection edge as a valid response candidate edge; if any condition is not met, the candidate connection edge is marked as an invalid response candidate edge. For valid response candidate edges, the field edge gateway writes the target distribution branch number, reference node number, associated power consumption node number, superior node number, subordinate node number, candidate connection edge number, response consistency, and matching status into the candidate matching record, obtaining the node response candidate matching relationship; the node response candidate matching relationship is used to indicate that the tracer response of the target distribution branch can be transmitted to the associated power consumption node along the corresponding candidate connection edge, providing a basis for confirmation of the connection for subsequent power supply topology self-correction.

[0069] It should be noted that the attribution criteria are set by the field edge gateway based on the power supply direction in the node deployment relationship, the allowable transmission time range of the status nodes at both ends of the candidate connection edge, the fluctuation direction and duration in the tracer signal characteristic parameters, and the preset response consistency requirements.

[0070] The node response candidate matching relationship is conflict identified with the connection relationship in the initial power supply topology. The credibility of the conflicting connection relationship is corrected by combining the response repeatability in multiple tracer acquisition windows to obtain the node response matching relationship.

[0071] Furthermore, the field edge gateway uses the target distribution branch number, base node number, associated power consumption node number, candidate connection edge number, and upper / lower level connection direction in the node response candidate matching relationship as comparison objects to find the corresponding registered connection relationship in the initial power supply topology. It also verifies whether the candidate connection edge exists, whether the upper / lower level directions of the two end nodes are consistent, whether the branch affiliation is consistent, whether the distribution level is continuous, and whether the same associated power consumption node is registered under multiple upper-level node names. If any of the following situations occur, such as missing registered connection, opposite upper / lower level directions, inconsistent branch affiliation, distribution level jump, or multiple affiliations of the same node, the corresponding connection relationship will be marked as a conflicting connection relationship.

[0072] The field edge gateway retrieves response records of candidate connection edges corresponding to conflicting connection relationships from multiple tracer acquisition windows. Based on the frequency of response occurrence, stability of response order, fluctuation range of response time difference, consistency of fluctuation direction, and stability of amplitude attenuation level, the credibility of candidate connection edges is corrected. Candidate connection edges that meet the valid response conditions in multiple tracer acquisition windows have their credibility increased, while candidate connection edges with unstable responses have their credibility decreased. Candidate connection edges whose credibility reaches the preset confirmation conditions are determined as valid matching edges, and the target power distribution branch number, associated power consumption node number, upper and lower level node relationship, branch affiliation, response consistency, response repeatability identifier, and corrected credibility are written into the matching result record to obtain the node response matching relationship.

[0073] It should be noted that the effective response conditions are set by the field edge gateway based on the tracer signal characteristic parameters, the allowable range of response time, the consistency of fluctuation direction, the amplitude attenuation relationship, the response duration matching relationship, and the upper and lower level transmission direction in the node deployment relationship; The confirmation conditions are set by the field edge gateway based on the tracer signal characteristic parameters, the allowed transmission time range, the response consistency threshold, the number of times the multi-window response is repeated, and the temporary power safety verification rules.

[0074] Based on the node response matching relationship, the branch affiliation relationship and the upper and lower level connection relationship in the initial power supply topology are reconstructed to generate the temporary power supply topology relationship.

[0075] Furthermore, valid matching edges in the node response matching relationship serve as the basis for topology updates, used to correct branch affiliation records and upper / lower level connection records in the initial power supply topology. Connections consistent with valid matching edges are retained in the initial power supply topology; missing connections in the initial power supply topology but confirmed by the node response matching relationship are added to the corresponding power supply branches; connection relationships where the upper / lower level direction is inconsistent with the tracer transmission direction are rewritten according to the upper-level node number and lower-level node number in the node response matching relationship; IoT sensing nodes with inconsistent branch affiliations are assigned to target distribution branches with higher response consistency and corrected reliability.

[0076] When there are multiple candidate parent nodes for the same IoT sensing node, the connection relationship with the highest credibility after correction and that meets the confirmation conditions is retained, and the connection relationship that does not meet the confirmation conditions is marked as a connection to be reviewed. After the branch affiliation adjustment, the upper and lower level direction correction and the invalid connection elimination are completed, the IoT sensing node number, temporary power distribution object number, power supply branch number, parent node number, lower node number, connection credibility and update time are written into the topology record to generate a temporary power supply topology relationship, which is used to represent the actual power supply connection status between each temporary power distribution object in the current construction temporary power supply site.

[0077] S3. Integrate the temporary power supply topology relationship and real-time power status data frames to form temporary power status features. Identify abnormal power status based on the temporary power status features to obtain topological electrothermal consistency constraints. Based on the topological electrothermal consistency constraints, distinguish between operating condition disturbances and hidden power supply hazards to obtain abnormal temporary power supply status.

[0078] The real-time power status data frames are mapped to the corresponding nodes and power supply paths in the temporary power topology to form a temporary power status relationship diagram. The temporary power status relationship diagram is then associated with paths according to the upper and lower level connection directions to obtain the temporary power status characteristics.

[0079] Furthermore, the temporary power distribution object number, IoT sensing node number, power supply branch number, and acquisition window identifier in the real-time power status data frame serve as the basis for status attachment, corresponding item by item with the topology nodes and power supply paths in the temporary power consumption topology. Voltage status, current status, temperature status, leakage status, switch status, and communication status are written into the corresponding topology nodes, while branch affiliation, hierarchical node relationships, and connection reliability are written into the corresponding power supply paths. The topology nodes and power supply paths together form a temporary power status relationship diagram, which is used to simultaneously represent the power consumption status and actual power supply connection relationships within the current acquisition window.

[0080] During the path association process, the state change relationships on the same power supply path are organized from the power supply side node to the load side node according to the upper and lower level connection direction in the temporary power supply topology. The current transmission status, voltage level change, temperature change trend, leakage current status transmission relationship and switch on / off status between adjacent nodes are also associated. State records with consistent state change direction of upper and lower level nodes, consistent branch affiliation and the same acquisition window are grouped into the same path state chain. The node status, adjacent connection status, hierarchical position and state change sequence in the path state chain are combined to obtain the temporary power status characteristics, which are used for subsequent power status anomaly identification.

[0081] The electrical state changes and thermal state changes in the characteristics of the electrical state are correlated and identified to obtain the electrothermal correlation state.

[0082] Furthermore, the power status characteristics include the voltage status, current status, leakage status, switching status, temperature status, and connection direction of adjacent nodes within the same acquisition window. The field edge gateway, according to the power supply path and node hierarchy, aligns the current changes, voltage fluctuations, and temperature changes of adjacent nodes on the same path over time, and extracts the current rise amplitude, voltage drop change, temperature rise amplitude, temperature rise duration, and temperature difference between upper and lower levels, forming an electrothermal change record within the same power supply path.

[0083] After the electrothermal change record is entered into the association judgment rule, if the current increase and temperature increase occur synchronously in the same or adjacent acquisition window, and the temperature rise location falls within the range of the corresponding power supply branch or the lower-level power consumption node, it is marked as a load-related electrothermal state; if the current change is not obvious but the local temperature continues to rise, it is marked as a local contact heating state; if the current increases abnormally and is accompanied by a rapid temperature rise, it is marked as an overload heating state; if the leakage current state is abnormal and is accompanied by a local temperature change, it is marked as a leakage current heating abnormal state; the electrothermal association state is composed of the electrical state change type, thermal state change type, corresponding node number, power supply path number, time association identifier, and abnormal association type.

[0084] Based on the transmission direction and deviation of the electrothermal correlation state in the power supply path, a topological electrothermal consistency constraint is generated to distinguish between operating condition disturbances and hidden electrical hazards.

[0085] Furthermore, the electrical state change type, thermal state change type, node number, power supply path number, and time association identifier in the electrical-thermal association status are used as the basis for consistency judgment. Along the upper and lower level connection direction in the temporary power supply topology, the current change, voltage drop change, temperature rise position, and temperature rise duration of each node in the same power supply path are sorted, and it is determined whether the electrical state change can form a matching thermal state change in the corresponding lower level node or adjacent connection position. When the current rise position, temperature rise position, and load node position correspond to each other, and the change direction is consistent with the power supply path transmission direction, it is marked as an electrical-thermal consistency state.

[0086] When there are situations such as positional offset, abnormal time delay, inconsistent temperature rise direction with power supply transmission direction, or small current change but persistent local temperature rise between changes in electrical state and changes in thermal state, these are marked as electrical-thermal deviation states. The topological electrical-thermal consistency constraint is formed by the electrical-thermal consistency state, the electrical-thermal deviation state, the deviation node number, the deviation power supply path, the deviation duration, and the deviation type. The topological electrical-thermal consistency constraint is used to limit the disturbance under normal operating conditions to ensure that the current change and temperature rise change are transmitted synchronously along the power supply path. Hidden electrical hazards usually manifest as local temperature rise, abnormal delay, heating at non-load locations, or inconsistent electrical-thermal change directions.

[0087] The expression for response consistency is as follows: ; in, In response to consistency, and This indicates that the range of the tracer acquisition window is limited. Indicates the effective response indicator factor of candidate connection edges. This indicates the degree of matching between the oscillation directions of the two nodes, obtained by comparing whether the signs of the response changes at adjacent sampling times are consistent. This represents the deviation of the response time difference between the two nodes relative to the allowable transmission time. Used to smooth the denominator. The influence weights used to adjust amplitude attenuation matching are typically pre-calibrated using historical tracer samples, line length, line impedance, and load fluctuations. This indicates whether the attenuation of the response amplitude at both ends conforms to the power supply path transmission law. It is judged by the ratio of the response amplitudes at both ends. If the amplitude of the lower-level node is not greater than that of the upper-level node and the amplitude ratio falls within the preset attenuation range, it conforms to the transmission law and is set to 1; otherwise, it does not conform and is set to 0.

[0088] By comparing the electrothermal correlation state with the topological electrothermal consistency constraint, the node segments in the power supply path where the electrical state change and thermal state change maintain a corresponding relationship are identified, thus obtaining the consistent state segment.

[0089] Furthermore, the node number, power supply path number, current change location, temperature rise location, time association identifier, and abnormal association type in the electrothermal association status are checked against the consistent transmission direction, allowable time deviation, allowable location range, and electrothermal deviation type in the topological electrothermal consistency constraints, respectively. Along the upper and lower level connection directions of the power supply path, it is determined whether the current change and temperature change within the same node segment fall into the same acquisition window or adjacent acquisition windows, whether the temperature rise location is located at the load node, terminal, or lower level connection location corresponding to the current change, and whether the voltage drop change and temperature rise direction are consistent with the power supply transmission direction.

[0090] Node segments that satisfy the time correspondence, location correspondence, and transmission direction correspondence are marked as consistent state segments. A consistent state segment contains the start node number, end node number, power supply path, current change type, temperature change type, time correspondence identifier, and consistency level. This indicates that the thermal state changes within the node segment can be explained by the corresponding electrical state changes, providing a basis for subsequently distinguishing between normal operating condition disturbances and hidden electrical hazards.

[0091] For node segments that do not meet the topological electrothermal consistency constraint, the deviation position and direction between the electrical state change and the thermal state change are extracted to form an electrothermal deviation state segment.

[0092] Furthermore, for node segments that do not meet the topology electrothermal consistency constraints, the field edge gateway will separately mark them from the power supply path and extract the current change location, temperature rise location, voltage drop change direction, temperature rise expansion direction, acquisition window identifier, and upper and lower level node relationship within the node segment. If the temperature rise location does not fall on the load node, terminal, or lower level connection location corresponding to the current change, or if the temperature rise time exceeds the allowable time deviation range, the corresponding node segment will be marked as having an electrothermal position deviation.

[0093] The field edge gateway compares the transmission direction of electrical state changes with the expansion direction of thermal state changes along the upper and lower level connection directions of the power supply path. When the current change is transmitted from the upper level node to the lower level node, and the temperature rise is concentrated on the non-load side, the reverse node, or the local connection position, a deviation direction identifier is generated. When the current change is small but the temperature rise continues to increase, a local thermal deviation identifier is generated. The combination of deviation node number, deviation power supply path, deviation position, deviation direction, deviation duration, and deviation type forms the electrothermal deviation state segment.

[0094] The expression for the electrothermal deviation is: ; in, Indicates the degree of deviation from electrical heating; Indicates the length of the power supply path; Indicates the power supply path; Indicates path location Is there any effective electrical heating anomaly at this location? This indicates the positional deviation between the location of the current change and the location of the temperature rise; This indicates the time deviation between the time of current change and the time of temperature rise change; The correlation strength between current change and temperature change is represented by the normalized correlation between the current change sequence and the temperature change sequence within the same acquisition window; This indicates the temperature rise at the path location after the load decreases. The degree of residence at a point can be obtained by combining the duration of the temperature at path position s remaining higher than the reference temperature after the load drops to the stable threshold and the magnitude of the residual temperature rise. The time deviation adjustment coefficient is pre-calibrated based on the allowable lag time range between the current change and the temperature rise response. This represents the temperature rise residence adjustment coefficient, which is pre-calibrated from historical temperature rise residence samples. This represents the smoothing parameter.

[0095] According to the temporary power supply topology, the transmission direction of the electric heating deviation state segment is tracked. If the electric heating deviation state segment corresponds to the load change direction, the transmission direction of the upper and lower level nodes, and the load fall-off process, the operating condition disturbance judgment information is generated.

[0096] Furthermore, when the electrical thermal deviation segment enters the operating condition disturbance judgment process, the field edge gateway tracks the current change location, temperature rise expansion location, and load change node corresponding to the deviation segment along the direction from the power supply side to the load side, according to the upper-level node, lower-level node, and power supply branch affiliation in the temporary power supply topology. When the load starts, the load increases, or the load switches, causing the current to rise, the temperature rise location expands to the lower level along the load node, and the current change time is earlier than the temperature rise change time. The deviation segment is marked as corresponding to the load change direction.

[0097] During the load reduction process, the field edge gateway continues to check the current drop location, temperature drop location, and transmission direction of upstream and downstream nodes. The current drop and load reduction occur simultaneously, the temperature rise intensity gradually weakens as the acquisition window continues, and when the temperature drop path is consistent with the original temperature rise expansion path, the corresponding electrothermal deviation state segment is determined to be a working condition disturbance caused by normal load start-up and shutdown, load fluctuation, or equipment switching, and a working condition disturbance judgment information including power supply path number, start node number, end node number, load change type, deviation duration, and disturbance judgment result is generated.

[0098] If the electric heating deviation state segment does not correspond to the load change direction, and the load remains within the power supply path corresponding to the local node after it falls back, a potential hazard is generated.

[0099] Furthermore, when the thermal deviation state segment enters the hidden danger retention judgment process, the on-site edge gateway checks the load change node, temperature rise retention node, and upper and lower level connection position corresponding to the deviation state segment according to the power supply path direction in the temporary power supply topology. If the load current change occurs along the load side, but the temperature rise position remains at local nodes such as the wiring terminal, branch connection point, and switch box outgoing terminal, and the temperature rise expansion direction does not pass down to the lower level node with the load change direction, the thermal deviation state segment is marked as not corresponding to the load change direction.

[0100] During the load reduction period, the field edge gateway continues to compare the current decrease and temperature decrease states. After the current returns to the normal range, if the temperature rise of a local node remains, intensifies, or slowly decays within the continuous acquisition window, and the dwell position is always within the fixed node range of the same power supply path, the corresponding node number, power supply path number, dwell position, dwell duration, temperature rise trend, and load reduction identifier are written into the hazard record to generate a hazard dwell relationship. This is used to indicate that the abnormal thermal state has not disappeared with the load change, which may correspond to electrical hazards such as poor contact, loose terminals, local overheating, or hidden leakage.

[0101] Based on the consistent state segment, operating condition disturbance judgment information, and hidden danger residence relationship, the abnormal state of temporary power distribution objects is marked to obtain the abnormal state of temporary power consumption.

[0102] Furthermore, after the consistent state segment, operating condition disturbance judgment information, and hidden danger residence relationship enter the abnormal state marking process, a corresponding relationship is established according to the temporary power distribution object number, power supply path number, start node number, and end node number; temporary power distribution objects belonging to the consistent state segment are marked as electric heating corresponding state; temporary power distribution objects with operating condition disturbance judgment information but without forming a hidden danger residence relationship are marked as operating condition disturbance state; temporary power distribution objects with hidden danger residence relationship are marked as hidden power consumption hidden danger state, and associated with residence node, residence duration, temperature rise change trend, and load drop indicator.

[0103] When marking abnormal states, the hazard residence relationship is used as the basis for hazard judgment, the operating condition disturbance judgment information is used as the basis for disturbance elimination, and the consistent state segment is used as the basis for normal electrical heating. The temporary power distribution object number, abnormal type, abnormal node location, power supply path, state source, duration, and marking time are written into the abnormal state record to obtain the temporary power abnormal state. This is used to distinguish between normal load changes, short-term operating condition disturbances, and hidden power hazards, and to provide a basis for subsequent abnormal location, alarm output, and handling instruction generation.

[0104] S4. Determine the location and impact range of the abnormal source based on the abnormal status and topology of temporary power supply, generate power supply handling control parameters, and execute early warning control, load limit control and power outage control in sequence according to the power supply handling control parameters. Combine the handling feedback to generate construction temporary power supply abnormal monitoring information.

[0105] The abnormal state of temporary power supply is mapped to the corresponding node segment in the temporary power supply topology, and upstream backtracking and downstream verification are performed along the power supply path to determine the location of the abnormal source.

[0106] Furthermore, the temporary power distribution object number, abnormal node location, power supply path number, abnormal type and marking time in the abnormal state of temporary power use correspond to the node number, branch affiliation and upper and lower level connection records in the temporary power use topology. The abnormal type is then attached to the corresponding topology node or adjacent node segment to form an abnormal node segment identifier.

[0107] The process proceeds step-by-step along the abnormal node segment towards the power supply side, checking whether the same abnormal marker exists in the upper-level node, whether the abnormal occurrence time is earlier than the current node, and whether the power supply status change can be transmitted to the current node. If the upper-level node is in normal condition, or the abnormal intensity of the upper-level node is lower than that of the current node, then the vicinity of the current node is considered as a candidate location for the abnormal source. The process continues step-by-step along the abnormal node segment towards the load side, checking the lower-level nodes to determine whether the lower-level nodes only exhibit changes in current, temperature rise attenuation, or state delay. If the abnormality of the lower-level node gradually weakens with the changes of the current node and does not form a new independent resident abnormality, then the candidate location for the abnormal source is determined as the location of the abnormal source.

[0108] Starting from the location of the anomaly source, the power supply path boundary affected by the anomaly transmission in the temporary power supply topology is identified to obtain the range of anomaly influence. Power supply handling control parameters are then generated based on the location of the anomaly source, the range of anomaly influence, and the abnormal state of temporary power supply.

[0109] Furthermore, the topology node corresponding to the anomaly source location serves as the starting point for impact tracing. Affected node segments are marked level by level along the connection direction from the power supply side to the load side, based on the power supply path number, superior node number, inferior node number, and connection reliability in the temporary power supply topology. It is verified whether adjacent nodes exhibit the same or related anomalies as the temporary power supply anomaly, such as current anomalies, temperature rise anomalies, leakage current anomalies, switch anomalies, or communication anomalies. If the anomaly of an adjacent node occurs later than the anomaly source location, the anomaly intensity gradually weakens as the power supply path extends, or the anomaly type can be explained by the anomaly source location, the corresponding node segment is included in the anomaly impact range. When any of the following occurs: the status returns to normal, the connection reliability is lower than the effective connection requirement, the protection device is disconnected, or the branch boundary node no longer exhibits associated anomalies, the current location is taken as the boundary of the anomaly impact range.

[0110] The power consumption control parameters are jointly formed by the location of the abnormal source, the scope of the abnormal impact, and the temporary abnormal power consumption status. For the status of hidden power consumption hazards, the control parameters include the abnormal source node number, the affected power supply branch number, the recommended disconnection node, the alarm level, the verification node, and the handling priority; for the status of operating condition disturbance, the control parameters include the disturbance path number, the observation window, the alarm suppression indicator, and the status verification indicator; for the status of electric heating, the control parameters include the continuous monitoring indicator and the status recording indicator. The power consumption control parameters are used to limit the execution objects and execution scope of subsequent alarm output, branch isolation, manual verification, and continuous monitoring.

[0111] The handling level and target power supply path are determined based on the power consumption handling control parameters, and early warning control is executed on the temporary power distribution objects corresponding to the abnormal source location and the abnormal impact range to generate an early warning handling status.

[0112] Furthermore, the anomaly type, alarm level, affected power supply branch number, recommended disconnection node, and handling priority in the power consumption handling control parameters serve as the basis for determining the handling level and target power supply path. The state of hidden power consumption hazards corresponds to a higher handling level, and the target power supply path includes the branch where the anomaly source is located and the lower-level branches within the range of the anomaly's influence; the state of operating condition disturbance corresponds to the observation handling level, and the target power supply path is the branch where the disturbance is located; the state of electric heating corresponds to the continuous monitoring level, and the target power supply path is the branch with the corresponding state record.

[0113] The on-site edge gateway outputs abnormal alarm information to the temporary power distribution objects corresponding to the abnormal source location according to the handling level, and outputs graded prompt information to the temporary power distribution objects within the scope of the abnormal impact. Under the higher handling level, it generates load limiting, branch isolation prompts, disconnection suggestions, or manual verification prompts; under the observation handling level, it generates an observation window and alarm suppression flag; under the continuous monitoring level, it maintains sampling and status recording; the combination of handling level, target power supply path, abnormal source node, affected node, and executed action forms an early warning handling status.

[0114] If the abnormal temporary power supply status is not eliminated under the early warning and handling status, the downstream power supply path of the load that needs to be restricted is determined according to the temporary power supply topology, and load limiting control is executed to generate the load limiting handling status.

[0115] Furthermore, within the observation window corresponding to the early warning and handling status, the on-site edge gateway continuously receives real-time power status data frames from the location of the abnormal source and the area of ​​impact of the abnormality, and verifies whether the temporary power supply abnormality still exists. If the temperature rise, leakage, overload, or hidden danger indicators of the abnormal source node continue to appear, and the abnormal status is not resolved by the graded early warning, manual review prompt, or branch isolation prompt, the corresponding power supply path will be marked as a path requiring load limiting.

[0116] The path requiring load limiting is determined by the abnormal source node, lower-level nodes, branch affiliation, and load connection relationship in the temporary power supply topology. The lower-level power supply path directly affected by the abnormal source is located along the load side, and branches that are not connected to the abnormal source or whose status has returned to normal are excluded. For lower-level power supply paths where abnormal transmission or increased load still exists, the field edge gateway generates a load limiting command, controls the corresponding switch box, distribution box, or electrical equipment to reduce the allowable load, restrict new power access, or prompt the disconnection of unnecessary loads, and combines the load limiting path number, load limiting object, load limiting action, execution time, and feedback result to generate a load limiting handling status.

[0117] If there are still hidden power consumption hazards under the load limit treatment state, power outage control is performed on the power supply path where the abnormal source is located, and the data frames of the early warning treatment state, the load limit treatment state and the real-time power status after treatment are correlated to generate construction temporary power consumption abnormal monitoring information.

[0118] Furthermore, within the observation window corresponding to the load-limiting status, the on-site edge gateway continuously verifies the real-time electrical status data frames of the power supply path where the abnormal source is located. If, after load limiting, the abnormal source node still exhibits temperature rise, leakage abnormalities, overload conditions, local thermal deviations, or lingering hidden dangers, it indicates that the load-limiting control has failed to eliminate hidden electrical hazards. The on-site edge gateway then marks the power supply path where the abnormal source is located as a power outage control path and determines the power outage control node, affected downstream branches, and reserved power supply branches based on the temporary power supply topology. The power outage control node can be the switch box, distribution box outgoing switch, or upstream protection switch corresponding to the abnormal source location. The power outage range is limited to the abnormal source location and the area affected by the abnormality, avoiding the expansion of the power outage impact.

[0119] When the power outage control is executed, the field edge gateway outputs a power outage command to the power outage control node and records the power outage time, power supply path, power outage object, feedback status, and handling result. The alarm level and alarm object in the early warning handling status, the load limiting path and load limiting action in the load limiting handling status, and the voltage status, current status, temperature status, leakage current status, and switch status in the real-time electrical status data frame after the power outage are combined into an abnormal handling record according to the abnormal source node number and power supply path number. This generates construction temporary power supply abnormal monitoring information, which is used to represent the complete process of abnormality detection, early warning, load limiting, power outage, and status changes after handling.

[0120] In summary, this invention achieves the following: First, it generates real-time electrical status data frames through IoT data acquisition, providing a data foundation for identifying temporary power supply anomalies during construction. Second, it determines node response matching relationships and corrects the power supply topology through tracer signals, enabling dynamic matching between data acquisition nodes and actual power supply paths. Third, it distinguishes between operational disturbances and hidden power supply hazards by combining topological electrothermal consistency constraints, and performs tiered handling according to the location and impact range of the anomaly source, thereby improving the accuracy of anomaly location and the targeted nature of handling.

[0121] 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, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for monitoring abnormal status of temporary construction power supply based on Internet of Things (IoT) sensing, characterized in that, include: IoT sensing nodes are deployed at the construction site for temporary power supply to collect IoT data from the temporary power distribution objects. The collected power consumption sensing data is then processed in a time sequence, bound to nodes, and encoded in a status to generate real-time power status data frames. Based on the real-time electrical status data frame, a low-amplitude short-time tracer signal is superimposed on the target distribution branch. According to the response of the target distribution branch and associated power consumption nodes to the tracer signal, tracer electrical status characteristics are formed. Based on the tracer electrical status characteristics, the node response matching relationship is determined. The initial power supply topology is self-corrected according to the node response matching relationship to obtain the temporary power consumption topology relationship. By integrating the temporary power supply topology and real-time power status data frames, temporary power supply status features are formed. The temporary power supply status features are used to identify power status anomalies, and topological electrothermal consistency constraints are obtained. Based on the topological electrothermal consistency constraints, operating condition disturbances and hidden power supply hazards are distinguished to obtain temporary power supply anomaly status. Based on the abnormal status of temporary power supply and the topology of temporary power supply, the location and scope of the abnormal source are determined, power supply handling control parameters are generated, and early warning control, load limiting control and power outage control are executed in sequence according to the power supply handling control parameters. Combined with the handling feedback, abnormal monitoring information of temporary power supply during construction is generated.

2. The method for monitoring abnormal status of temporary construction power supply based on Internet of Things sensing as described in claim 1, characterized in that, The specific steps for deploying IoT sensing nodes at the temporary power supply site during construction are as follows: IoT sensing nodes are deployed according to the power supply path of the temporary power supply site, and node binding relationships between IoT sensing nodes and temporary power distribution objects are established based on the location of the IoT sensing nodes on the power supply path. The hierarchical relationship between adjacent IoT sensing nodes on the same power supply path is written into the field edge gateway to form the node deployment relationship.

3. The method for monitoring abnormal status of temporary construction power supply based on Internet of Things sensing as described in claim 2, characterized in that, The steps for collecting IoT data from temporary power distribution objects, and for processing the collected power consumption sensing data in a time sequence, binding nodes, and encoding status to generate real-time power status data frames are as follows: According to the node deployment relationship, the IoT sensing nodes are controlled to synchronously sample the temporary power distribution objects, and the power consumption sensing data within the same collection window are processed in time sequence based on a unified time reference to obtain the node time sequence power consumption data. Based on the node binding relationship, the node time-series power consumption data is assigned to the corresponding temporary power distribution object, and the power supply status of the temporary power distribution object is encoded to generate a real-time power status data frame.

4. The method for monitoring abnormal status of temporary construction power supply based on Internet of Things sensing as described in claim 3, characterized in that, The specific steps for superimposing a low-amplitude, short-time tracer signal onto the target distribution branch based on the real-time electrical status data frame are as follows: Match the real-time power status data frames with the node deployment relationship to obtain the node affiliation verification status of each power supply path. Filter the distribution branches that have node affiliation verification requirements and meet the tracer injection conditions to obtain the target distribution branches. Based on the hierarchical relationship of the target distribution branch in the node layout, the tracer injection position is generated, and based on the power consumption change status of the target distribution branch in the current acquisition window, the tracer signal characteristic parameters are generated. The field edge gateway generates tracer control commands based on the tracer injection location and tracer signal characteristic parameters, and superimposes low-amplitude short-time tracer signals onto the target power distribution branch according to the tracer control commands to form a tracer acquisition window with tracer markers.

5. The method for monitoring abnormal status of temporary construction power supply based on Internet of Things sensing as described in claim 4, characterized in that, The process of forming tracer electrical state characteristics based on the response of the target power distribution branch and associated power consumption nodes to the tracer signal involves the following steps: Within the tracer acquisition window with tracer markers, response segments are extracted from the node time-series power consumption data of the target power distribution branch and associated power consumption nodes to obtain tracer response data segments. The tracer response data segments are matched with the tracer signal characteristic parameters to obtain the tracer response dynamic characteristics. Then, according to the sampling time sequence and node layout relationship, the tracer response dynamic characteristics are continuously calibrated and the nodes are associated to form the node tracer response trajectory. Based on the node deployment relationship, the node tracer response trajectory of the target power distribution branch and the node tracer response trajectory of the associated power consumption node are correlated across nodes to generate tracer electrical state characteristics.

6. The method for monitoring abnormal status of temporary construction power supply based on Internet of Things sensing as described in claim 5, characterized in that, The process of determining node response matching relationships based on tracer electrical state characteristics, and then performing self-correction on the initial power supply topology based on these matching relationships to obtain temporary power supply topology relationships, is as follows: The transmission direction of the tracer electrical state characteristics is restored, and a tracer transmission sequence is generated according to the response order of the tracer signal between the target power distribution branch and the associated power consumption node. The tracer transmission sequence is imported into the temporary topology state diagram. In the temporary topology state diagram, the IoT sensing node is used as the state node, the adjacent power supply relationship is used as the candidate connection edge, and the response consistency degree is generated for the candidate connection edge. Based on response consistency, the candidate connection edges between the target power distribution branch and the associated power consumption node are classified to obtain the node response candidate matching relationship. The node response candidate matching relationship is conflict-identified with the connection relationship in the initial power supply topology. The confidence of the conflicting connection relationship is corrected by combining the response repeatability in multiple trace acquisition windows to obtain the node response matching relationship. Based on the node response matching relationship, the branch affiliation relationship and the upper and lower level connection relationship in the initial power supply topology are reconstructed to generate the temporary power supply topology relationship.

7. The method for monitoring abnormal status of temporary construction power supply based on Internet of Things sensing as described in claim 1, characterized in that, The process of fusing temporary power supply topology relationships and real-time electrical status data frames forms temporary power supply status features. These features are then used to identify electrical state anomalies, resulting in topological electrothermal consistency constraints. The specific steps are as follows: The real-time power status data frames are mapped to the corresponding nodes and power supply paths in the temporary power topology to form a temporary power status relationship diagram. The temporary power status relationship diagram is then associated with paths according to the upper and lower level connection directions to obtain the temporary power status characteristics. By correlating and identifying the changes in electrical state and thermal state in the characteristics of the electrical state, an electrothermal correlation state is obtained. Based on the transmission direction and deviation of the electrothermal correlation state in the power supply path, a topological electrothermal consistency constraint is generated to distinguish between operating condition disturbances and hidden electrical hazards.

8. The method for monitoring abnormal status of temporary construction power supply based on Internet of Things sensing as described in claim 7, characterized in that, The steps for distinguishing between operating condition disturbances and hidden power consumption hazards based on topological electrothermal consistency constraints to obtain temporary abnormal power consumption states are as follows: By comparing the electrothermal correlation state with the topological electrothermal consistency constraint, the node segments in the power supply path that maintain the corresponding relationship between changes in electrical state and changes in thermal state are identified, and the consistent state segments are obtained. For node segments that do not meet the topological electrothermal consistency constraint, the deviation position and deviation direction between the electrical state change and the thermal state change are extracted to form an electrothermal deviation state segment; According to the temporary power supply topology, the transmission direction of the electric heating deviation state segment is tracked. If the electric heating deviation state segment corresponds to the load change direction, the transmission direction of the upper and lower level nodes and the load fall-off process, the operating condition disturbance judgment information is generated. If the electric heating deviation state segment does not correspond to the load change direction, and the load remains in the power supply path corresponding to the local node after falling back, a hidden danger residence relationship is generated. Based on the consistent state segment, operating condition disturbance judgment information, and hidden danger residence relationship, the abnormal state of temporary power distribution objects is marked to obtain the abnormal state of temporary power consumption.

9. The method for monitoring abnormal status of temporary construction power supply based on Internet of Things sensing as described in claim 1 or 8, characterized in that, The steps for determining the location and impact range of the anomaly source based on the abnormal state and topology of temporary power supply, and generating power supply control parameters, are as follows: The abnormal state of temporary power supply is mapped to the corresponding node segment in the temporary power supply topology, and upstream backtracking and downstream verification are performed along the power supply path to determine the location of the abnormal source. Starting from the location of the anomaly source, the power supply path boundary affected by the anomaly transmission in the temporary power supply topology is identified to obtain the range of anomaly influence. Power supply handling control parameters are then generated based on the location of the anomaly source, the range of anomaly influence, and the abnormal state of temporary power supply.

10. The method for monitoring abnormal status of temporary construction power supply based on Internet of Things sensing as described in claim 9, characterized in that, The steps are as follows: Early warning control, load limiting control, and power outage control are executed sequentially according to the power consumption control parameters. Based on the feedback from the handling process, abnormal monitoring information on temporary construction power consumption is generated. Determine the handling level and target power supply path based on the power consumption handling control parameters, and execute early warning control on the temporary power distribution objects corresponding to the abnormal source location and the abnormal impact range to generate early warning handling status; If the abnormal temporary power supply status is not eliminated under the early warning and handling status, determine the downstream power supply path of the load that needs to be restricted according to the temporary power supply topology, and execute load limiting control to generate a load limiting status. If there are still hidden power consumption hazards under the load limit treatment state, power outage control is performed on the power supply path where the abnormal source is located, and the data frames of the early warning treatment state, the load limit treatment state and the real-time power status after treatment are correlated to generate construction temporary power consumption abnormal monitoring information.

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