Power line marking method, device, marking system, medium and program product

Abstract

The embodiment of the invention provides a power line marking method and device, a marking system, a medium and a program product, and relates to the field of financial science and technology or other related fields. The method is applied to a control chip of the marking system, the control chip is in communication connection with edge calculation chips integrated in power lines, and the method comprises the following steps: acquiring state data of corresponding power lines and electric equipment connected with the power lines acquired by the edge calculation chips integrated in the power lines; determining an abnormal power line and an abnormal type thereof according to the state data; and marking the abnormal power line based on the abnormal type. Through the control chip and the edge calculation chip integrated in the power line, the abnormal power line is identified, the abnormal power line is marked according to the abnormal type, the position of the abnormal power line can be rapidly positioned through the mark, then related personnel are guided to perform maintenance operation, the maintenance efficiency is improved, and meanwhile, the maintenance cost is reduced. And the risk of misoperation is also reduced.

Description

Technical Field

[0001] This application relates to the field of financial technology or other related fields, and in particular to a power cord marking method, device, marking system, medium and program product. Background Technology

[0002] Data centers within banks and other financial institutions are the core infrastructure supporting financial operations. These data centers house a large number of servers, each responsible for key functions such as transaction processing, data storage, and business support. Within the data center, each server is connected to a power distribution unit (PDU) via power cables. The PDU provides power to the servers, ensuring uninterrupted financial operations.

[0003] However, due to the large number of servers in data centers, there are a large number of power cables. The power cables are dense and the wiring is complex. When a server loses power, it is necessary to manually check for faults, which is inefficient. At the same time, in the scenario of dense power cables and complex wiring, the maintenance process faces a high risk of operation error, such as accidentally unplugging the power cable. Once an operation error occurs, it may cause the server to stop running, thereby affecting the operation of business. Summary of the Invention

[0004] This application provides a power cord marking method, device, marking system, medium, and program product. It collects status data of each power cord and its connected devices by an edge computing chip integrated in the power cord to achieve anomaly detection. After an anomaly is detected, the abnormal power cord is marked. The marking can guide the operation of relevant personnel. Relevant personnel can quickly locate the abnormal power cord according to the marking, which improves maintenance efficiency and reduces the risk of misoperation.

[0005] In a first aspect, this application provides a power line marking method applied to a control chip of a marking system, wherein the control chip is communicatively connected to an edge computing chip integrated in the power line, and the method includes:

[0006] Acquire the status data of the corresponding power lines and the connected electrical devices collected by the edge computing chips integrated in each power line;

[0007] Based on the status data, identify the abnormal power line and its abnormality type;

[0008] Based on the type of abnormality, abnormal power lines are marked.

[0009] Secondly, this application provides a power line marking device, applied to a control chip in a marking system, wherein the control chip is communicatively connected to an edge computing chip integrated in the power line, and the device includes:

[0010] The status data acquisition module is used to acquire the status data of the corresponding power lines and the connected electrical equipment collected by the edge computing chips integrated in each power line.

[0011] The abnormal power line determination module is used to determine the abnormal power line and its abnormality type based on status data.

[0012] The labeling module is used to label abnormal power lines based on the type of abnormality.

[0013] Thirdly, this application provides an identification system, including: a control chip, and an edge computing chip integrated in a power line;

[0014] Edge computing chips are used to collect status data of the corresponding power lines and the electrical equipment connected to them.

[0015] The control chip is used to implement the method provided in the first aspect above.

[0016] Fourthly, this application provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the method provided in the first aspect above.

[0017] Fifthly, this application provides a computer program product, including a computer program that, when executed by a processor, implements the method provided in the first aspect above.

[0018] The power cord marking method, device, marking system, medium, and program products provided in this application acquire status data of each power cord and the connected electrical equipment by integrating edge computing chips into each power cord. This enables real-time data acquisition, significantly reducing acquisition time and providing immediate data support for subsequent steps. Then, the acquired status data is analyzed and processed to identify abnormal power cords and their types, enabling real-time anomaly detection of the power supply status of electrical equipment. This avoids manual troubleshooting and improves detection efficiency. Finally, based on the anomaly type, the abnormal power cord is marked with its status, allowing personnel to quickly and accurately locate the power cord requiring repair during subsequent maintenance, improving maintenance efficiency. Furthermore, in scenarios with dense and complex power cord routing, this enhances operational safety by preventing accidental operation of other power cords. Attached Figure Description

[0019] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0020] Figure 1 A schematic diagram of a data center scenario provided for an embodiment of this application;

[0021] Figure 2 A flowchart illustrating a power cord marking method provided in an embodiment of this application;

[0022] Figure 3 A flowchart illustrating another power cord marking method provided in an embodiment of this application;

[0023] Figure 4 A flowchart illustrating yet another power cord marking method provided in this application embodiment;

[0024] Figure 5 A schematic diagram of a power cord marking device provided in an embodiment of this application;

[0025] Figure 6 This is a schematic diagram of the structure of an identification system provided in an embodiment of this application;

[0026] Figure 7 This is a schematic diagram of the structure of the application system provided in the embodiments of this application.

[0027] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0028] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0029] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties. Furthermore, the collection, storage, use, processing, transmission, provision, disclosure, and application of the relevant data all comply with the relevant laws, regulations, and standards of the relevant countries and regions, have taken necessary confidentiality measures, do not violate public order and good morals, and provide corresponding operation access points for users to choose to authorize or refuse.

[0030] It should be noted that the power cord marking method, device, marking system, medium and program products provided in this application can be used in the financial technology field, or in any field other than the financial technology field. The application field of the power cord marking method, device, marking system, medium and program products in this application is not limited.

[0031] The application scenario of this application is the management of power lines in data centers. Figure 1 This is a schematic diagram of a data center scenario provided as an embodiment of this application. Figure 1 As shown, a data center deploys multiple servers, power distribution units, and multiple power cables. The servers, located in server racks, are the core carriers for data storage, processing, and interaction within the data center, playing crucial roles in business processing, data storage, and business support. Power distribution units (such as PDUs) are devices used to provide power to the multiple servers; they act as the terminal interface for power transmission, connecting to the servers to supply power and ensure their basic operation. Power cables are the core components connecting the server's power supply module and the power distribution unit, providing stable power transmission.

[0032] In some data centers, especially those within banks and other financial institutions, the complexity of their operations often necessitates the deployment of a large number of servers to meet business demands. Furthermore, to ensure stable server operation and prevent service interruptions caused by a single power cable malfunction, a single server in a data center may be connected to multiple power cables, such as two or four. This results in a large number of servers and power cables in the data center, leading to dense and complex power cable routing.

[0033] However, when a server in a data center loses power, i.e., experiences a power supply anomaly, maintenance personnel typically need to troubleshoot the problem. This involves identifying the server's power cable from a large number of power cords to pinpoint the fault, such as whether it's a problem with the server's power module or power distribution unit, before proceeding with further troubleshooting. Figure 1 The dense power cords make it difficult to directly identify the corresponding power cords, resulting in a long time consumption and low maintenance efficiency.

[0034] In addition, due to the dense and complex wiring of the power cables, misoperation is prone to occur during operation, such as unplugging the wrong power cable. Since each power cable is connected to a server, if another power cable is accidentally unplugged during operation, it may cause the server connected to that power cable to lose power, resulting in business interruption.

[0035] The power cord marking method provided in this application aims to solve the above-mentioned technical problems. Specifically, an edge computing chip is integrated into the power cord. The edge computing chip collects status data of the power cord and the devices connected to it. Based on the status data, abnormal power cords and their abnormality types are determined, realizing automatic anomaly identification and avoiding manual troubleshooting, thereby improving maintenance efficiency. In addition, after identifying the abnormal power cord, it is marked based on the anomaly type. This marking distinguishes between power cords that require operation and those that do not. Relevant maintenance personnel can quickly and accurately locate the fault point, improving maintenance efficiency while reducing the risk of accidentally operating other power cords and improving operational safety.

[0036] The technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will now be described with reference to the accompanying drawings.

[0037] Figure 2 This is a flowchart illustrating a power cord marking method provided in an embodiment of this application. Figure 2 As shown, the method provided in this application embodiment includes the following steps:

[0038] Step S201: Obtain the status data of the corresponding power line and the connected electrical equipment collected by the edge computing chip integrated in each power line.

[0039] The power line marking method provided in this application is applied to the control chip of the marking system, and the control chip is communicatively connected to the edge computing chip integrated in the power line.

[0040] A control chip is a chip used to receive and process data and output instructions to control the operation of an edge computing chip. In this application, the control chip can be an MCU (Microcontroller Unit), an MPU (Microprocessor Unit), an FPGA (Field-Programmable Gate Array), or a dedicated control chip, etc.

[0041] Power cords are components that connect electrical equipment and power distribution equipment, such as... Figure 1 The power cord serves as the physical channel between electrical equipment and power distribution equipment. Specifically, one end of the power cord connects to the power transmission interface of the power distribution equipment, and the other end connects to the power module of the electrical equipment. The electrical equipment is a device that relies on the power distribution equipment to provide power for its operation, such as… Figure 1The server in the middle. Power distribution equipment is equipment that provides power to electrical equipment, such as... Figure 1 The power distribution unit in the system.

[0042] An edge computing chip is a chip integrated into the power supply line to acquire real-time status data and respond to commands sent by the control chip. Specifically, the edge computing chip can be integrated at the power supply line interface and / or intermediate interface, or a small control box can be connected in series in the middle of the power supply line, with the edge computing chip housed within the small control box, thus integrating the edge computing chip into the power supply line.

[0043] In some embodiments, the edge computing chip can be a low-power, small-size computing chip to reduce system power consumption.

[0044] Edge computing chips also integrate sensors, including but not limited to current sensors, voltage sensors, and temperature sensors. Each sensor is set at a relevant location on the power line, such as the middle interface of the power line or the interface where the power line connects to the electrical equipment, to collect status data of the power line and the electrical equipment connected to it.

[0045] Power line status data are parameters generated during power transmission and used to reflect the operating status of the power line, including at least the operating current. In some embodiments, the power line status data also includes power line temperature, insulation resistance, etc.

[0046] The status data of power-connected electrical equipment, also known as the status data of the power module of the power-connected equipment, is generated during the operation of the equipment and reflects its power supply status. The status data of power-connected electrical equipment includes at least input voltage, input resistance, and operating status. In some embodiments, the status data also includes voltage ripple, power supply frequency, leakage current, input circuit temperature, and the number of overvoltage / overcurrent protection triggers.

[0047] In this step, the edge computing chip integrated in each power line collects the status data of the power line it is located on, as well as the status data of the electrical devices connected to that power line, and sends the collected status data of the corresponding power line and its connected electrical devices to the control chip. The control chip receives the status data of the corresponding power lines and their connected electrical devices sent by each edge computing chip.

[0048] In some embodiments, the control chip can enable the edge computing chip to collect status data of the corresponding power line and the connected electrical equipment at a preset period, such as 10 seconds, and send it to the control chip.

[0049] Step S202: Based on the status data, determine the abnormal power line and its abnormal type.

[0050] An abnormal power line is a power line in which any one of the following is faulty or at risk of failure: the power line itself, the electrical equipment connected to the power line, or the power distribution equipment connected to the power line.

[0051] Anomalies can be categorized according to the core location where the fault or fault risk occurs, such as power line anomalies, electrical equipment anomalies, or power distribution equipment anomalies.

[0052] Abnormalities can also be classified according to the manifestation of faults or fault risks, such as voltage abnormalities, current abnormalities, power outage abnormalities, and leakage abnormalities.

[0053] In this step, for each power line, the control chip determines whether the status data is abnormal based on whether the status data sent by its integrated edge computing chip meets preset abnormal conditions. If an abnormality is found, the power line is identified as an abnormal power line. Furthermore, based on the preset abnormal conditions it meets, the abnormality type corresponding to the preset abnormal conditions is determined as the abnormality type.

[0054] The preset abnormal conditions are the characteristic manifestations of the state data under each pre-set abnormality type. For example, when the voltage is abnormal, it is often manifested as the voltage being less than or equal to the voltage threshold. Therefore, the preset abnormal condition for voltage abnormality is set to the input voltage being less than or equal to the voltage threshold. When the current is abnormal, it is often manifested as the current being less than or equal to the current threshold. Therefore, the preset abnormal condition for current abnormality is set to the operating current being less than or equal to the current threshold.

[0055] In some embodiments, the status data of the power line and the electrical equipment connected to it can also be input into a pre-trained anomaly determination model to determine the abnormal power line and its anomaly type by using the features of the status data learned by the anomaly determination model.

[0056] An anomaly determination model is a deep learning model. By training the anomaly determination model, it can learn the characteristics of state data under various anomaly types. Then, after inputting state data into the trained anomaly determination model, the anomaly determination module can determine whether the power line corresponding to the state data is an abnormal power line based on whether the input state data matches the learned characteristics of the state data under the anomaly type, and output the anomaly type when it is determined to be an abnormal power line.

[0057] The training method for the anomaly determination model involves acquiring multiple state data points under no-anomaly conditions and multiple state data points under each anomaly type within a historical time period. The state data is used as the training set, and the corresponding no-anomaly or anomaly type is used as the label to train the anomaly determination model. The specific training process can refer to existing deep learning model training methods and will not be elaborated upon here.

[0058] Step S203: Based on the abnormality type, mark the abnormal power line.

[0059] In this step, the corresponding flags for different fault types can be preset and stored in the control chip. Then, the control chip displays the flag corresponding to the fault type on the faulty power line based on the fault type.

[0060] In some embodiments, this step may specifically involve the control chip generating an identification instruction based on the anomaly type and sending it to the edge computing chip integrated with the abnormal power line. The edge computing chip executes the identification instruction and displays the corresponding identification to complete the identification of the abnormal power line.

[0061] Edge computing chips may also include at least one of a display screen, indicator lights, and a buzzer, which displays the markings. In this scenario, the markings include text markings, optical markings, and sound markings.

[0062] In some embodiments, the corresponding labeling parameter can be determined from the pre-set labeling parameters corresponding to each abnormality type based on the abnormality type; the labeling parameter is used to display the label corresponding to the abnormality type on the abnormal power line.

[0063] For example, if the edge computing chip includes a display screen, indicator lights, and a buzzer, the control chip determines the content displayed on the screen (such as the exception type), the color and / or brightness and / or flashing frequency of the indicator lights, and the volume of the buzzer based on the exception type. The content displayed on the screen (such as the exception type), the color and / or brightness and / or flashing frequency of the indicator lights, and the volume of the buzzer are the identification parameters. The control chip sends an identification command carrying the identification parameters to the edge computing chip. Based on the identification parameters in the identification command, the edge computing chip controls its display screen to display the corresponding content, and controls the color and / or brightness and / or flashing frequency of the indicator lights and the volume of the buzzer.

[0064] The power cord marking method provided in this application acquires the status data of each power cord and the connected electrical equipment by integrating edge computing chips into each power cord. This enables real-time data acquisition, significantly reducing acquisition time and providing immediate data support for subsequent steps. Then, the acquired status data is analyzed and processed to identify abnormal power cords and their types, enabling real-time anomaly detection of the power supply status of electrical equipment. This avoids manual troubleshooting and improves detection efficiency. Finally, based on the anomaly type, the abnormal power cord is marked with its status, allowing personnel to quickly and accurately locate the power cord requiring repair during subsequent maintenance, improving maintenance efficiency. Furthermore, in scenarios with dense and complex power cord routing, this method enhances operational safety by preventing accidental operation of other power cords.

[0065] Figure 3 This is a flowchart illustrating another power cord marking method provided in an embodiment of this application. The method provided in this embodiment... Figure 2 Based on the illustrated embodiment, a step of marking according to instructions has been added, and steps S202 and S203 have been refined.

[0066] like Figure 3 As shown, the method provided in this embodiment includes:

[0067] Step S301: In response to the operation command of the target power line, the target power line is marked based on the operation type in the operation command.

[0068] In some scenarios, personnel need to manipulate power cables. For example, in a data center, when removing a server from the warehouse, the server must first be powered off, and the connected power cables removed from the power distribution equipment. However, in reality, each server rack often houses multiple servers, resulting in dense and complex power cable routing. If other power cables are accidentally manipulated while removing the power cable of one server, it can cause those connected servers to crash or lose power, leading to service interruptions for those servers.

[0069] To address the aforementioned issues, this application generates an operation command for the target power line when operation is required, and sends it to the control chip. Upon receiving the operation command, the control chip identifies the target power line based on the operation type specified in the command. Relevant maintenance personnel can then determine the power line requiring operation based on the identification, significantly reducing the risk of misoperation.

[0070] The target power line is the power line that needs to be operated on. The operation command is used to indicate that an operation needs to be performed on the target power line. The operation type can be divided according to the action performed, that is, the operation type includes at least connection and disconnection.

[0071] In some embodiments, the specific implementation of marking the target power line based on the operation type in the operation instruction is similar to step S203 in the above embodiment, which marks the abnormal power line based on the abnormal type. The only difference is that the abnormal type is replaced with the operation type, and the abnormal power line is replaced with the target power line. This will not be elaborated here.

[0072] In some embodiments, each power line is covered with an electroluminescent material. In this case, the step can also involve the control chip responding to an operation command for the target power line, determining control parameters of the electroluminescent material covering the target power line based on the operation type in the operation command, and generating an identification command for the target power line based on the control parameters. The identification command is then sent to the edge computing chip integrated in the target power line to identify the target power line.

[0073] For example, when power line A needs to be unplugged, an operation command pointing to power line A is generated and sent to the control chip. After receiving the operation command, the control chip, based on the operation type in the operation command, assuming the corresponding label is label A, then labels the target power line with label A.

[0074] In some embodiments, to ensure reliable and smooth communication between the control chip and the edge computing chip integrated in the power line, redundant communication paths can be established, meaning there are multiple communication paths between the control chip and the edge computing chip. When the control chip interacts with the edge computing chip integrated in the power line, communication can occur through any one of these communication paths.

[0075] For example, a dual communication path can be established. One communication path uses a network communication protocol to communicate through the out-of-band management interface of the power-consuming equipment connected by the power line, while the other path uses power line communication (PLC) technology to communicate through the power distribution equipment interface. Furthermore, when the control chip interacts with the edge computing chip integrated in the power line, the path that can communicate normally between the two communication paths is detected, and one of the normally communicating paths is arbitrarily selected for interaction.

[0076] In some embodiments, if multiple communication paths are unavailable, the power line on which the edge computing chip is integrated is marked to indicate that the edge computing chip integrated on that power line cannot communicate with the control chip.

[0077] Optionally, if the operation instruction is a pairing operation instruction, then the paired power line that is paired with the target power line is determined from the pre-set pairing relationships; the pairing operation instruction is an instruction that instructs to perform a specified operation on the target power line and requires simultaneous associated operation on the paired power line; the target power line and the paired power line are marked based on the operation type corresponding to the pairing operation instruction.

[0078] In some scenarios, to ensure the reliability of power supply to electrical equipment, redundant power supply paths are typically configured for each powered device. This means that a single device is connected to two or four power lines, which simultaneously provide power to the device. Furthermore, a single power distribution device may also be connected to multiple power lines, allowing it to provide power to multiple servers.

[0079] In the scenarios described above, operating power cords often requires operating multiple power cords at once. For example, if server A is connected to four power cords, then when performing a product removal from inventory for server A, all four power cords must be removed from the power distribution equipment. If an operation command needs to be generated for each power cord operation, it may result in too many operation commands being generated, consuming system hardware resources and potentially causing the control chip to lag. In severe cases, it may even cause the control chip to crash, affecting the reliability of the power cord markings.

[0080] This application addresses the aforementioned issues through pairing operation instructions.

[0081] Pairing commands are instructions that, when operating on a target power line, will also be associated with operations on other power lines. Specifically, a pairing command instructs that when a specified operation is performed on a target power line, an associated operation must be performed on the paired power lines bound to the target power line. The associated operation and the command operation can be the same operation, such as unplugging, or they can be different operations.

[0082] A mating power cord is a power cord that is connected to the same electrical device as the target power cord.

[0083] In this embodiment, the pairing relationships between power lines can be preset and stored in the control chip. If a pairing operation command is received, the paired power line that matches the target power line is determined from the pairing relationships.

[0084] In some embodiments, the mating power cord may also be a power cord that is connected to the same power distribution device as the target power cord.

[0085] In this scenario, a first pairing relationship and a second pairing relationship can be preset between power lines. The first pairing relationship refers to the pairing relationship between power lines connected to the same electrical device, and the second pairing relationship refers to the pairing relationship between power lines connected to the same power distribution device. If a pairing operation command is received, the first or second pairing relationship is selected based on the command, and then the paired power line that matches the target power line is determined from the first or second pairing relationship.

[0086] For example, if the operation instruction indicates that the operation is to power off the electrical equipment, then the first pairing relationship is selected; if the operation instruction indicates that the operation is to replace the power distribution equipment, then the second pairing relationship is selected.

[0087] After identifying the paired power cord, both the target power cord and the paired power cord are labeled based on the operation type corresponding to the pairing operation command.

[0088] In some embodiments, each power line is covered with electroluminescent material. Based on the operation type corresponding to the pairing operation command, the target power line and the paired power line are marked. This can be achieved by the control chip determining a first control parameter of the electroluminescent material covered by the target power line and a second control parameter of the electroluminescent material covered by the paired power line, based on the operation type corresponding to the pairing operation command. Then, based on the first and second control parameters, marking commands for the target power line and the paired power line are generated respectively. These marking commands are then sent to the edge computing chips integrated in the corresponding power lines to achieve the marking of the target power line and the paired power line.

[0089] The first control parameter and the second control parameter can be the same or different control parameters, and this is not limited here.

[0090] By using pairing operation commands, multiple power lines can be marked with a single command, avoiding the generation of multiple operation commands, reducing the consumption of system hardware resources, reducing the risk of control chip lag or crash, and improving the reliability of power line marking.

[0091] In one possible implementation, the paired power line can also be determined based on the unique identifier of the target power line, the unique identifier of the server to which the target power line is connected, and the unique identifier of the power distribution unit to which the target power line is connected.

[0092] Step S302: Obtain the status data of the corresponding power line and the connected electrical equipment collected by the edge computing chip integrated in each power line.

[0093] Step S303: For each power line, if the preset operating status in the status data of the connected electrical equipment indicates that the electrical equipment should be in the power-on state, and the status data of the power line meets the preset abnormal conditions, then the power line is determined to be an abnormal power line.

[0094] The status data collected by the edge computing chip from the power-connected devices includes preset operating states. Preset operating states refer to the operating states that the devices should be in, as pre-configured in the edge computing chip integrated in the power line.

[0095] An operating status flag can be set in the edge computing chip. If the device needs to work normally, it should be in the power-on state. The operating status flag in the edge computing chip is set to 1 to indicate that the preset operating state is power-on. If the device is not needed, it should be in the power-off state. The operating status flag in the edge computing chip is set to 0 to indicate that the preset operating state is power-off.

[0096] In this step, for each power line, if the preset operating status of the connected electrical equipment indicates that the equipment should be powered on, then the power line needs to transmit power to the equipment. Furthermore, if the status data of the power line meets preset abnormal conditions, it indicates that the power line is failing to transmit power normally, and thus the power line is identified as an abnormal power line.

[0097] If the preset operating status in the status data of the connected electrical equipment indicates that the electrical equipment should be in the off state, then the subsequent steps will not be executed.

[0098] Preset abnormal conditions include, but are not limited to, operating current less than or equal to current threshold, operating voltage less than or equal to voltage threshold, and temperature greater than or equal to temperature threshold.

[0099] Step S304: Determine the abnormality type of the abnormal power line based on the status data of the abnormal power line and the electrical equipment connected to it.

[0100] In this step, the abnormality type of the abnormal power line can be determined based on the preset abnormality conditions satisfied by the status data of the abnormal power line and the electrical equipment connected to it.

[0101] For example, if the operating current is less than or equal to the current threshold, the abnormality type of the abnormal power line is determined to be current abnormality; if the operating voltage is less than or equal to the voltage threshold, the abnormality type of the abnormal power line is determined to be voltage abnormality; if the temperature is greater than or equal to the temperature threshold, the abnormality type of the abnormal power line is determined to be temperature abnormality.

[0102] Optionally, the abnormality types include abnormality of electrical equipment connected to abnormal power lines, and abnormality of power distribution equipment connected to abnormal power lines.

[0103] In this embodiment, the preset abnormal conditions may include abnormal conditions corresponding to abnormal electrical equipment (such as the input voltage and / or input resistance being in an abnormal range in the status data of the electrical equipment) and abnormal conditions corresponding to abnormal power distribution equipment (such as the output voltage and / or output resistance being in an abnormal range in the status data of the power distribution equipment).

[0104] If the status data meets the abnormal conditions corresponding to the abnormality of the electrical equipment, then the abnormality type is determined to be an abnormality of the electrical equipment; if the status data meets the abnormal conditions corresponding to the abnormality of the power distribution equipment, then the abnormality type is determined to be an abnormality of the power distribution equipment.

[0105] In this embodiment, by classifying the abnormality types into electrical equipment abnormalities and power distribution equipment abnormalities, and then marking them according to the abnormality type, it is possible not only to quickly locate the abnormal power line, but also to quickly pinpoint the fault point based on the marking content, thereby further improving the efficiency of subsequent maintenance.

[0106] Optionally, an AI (Artificial Intelligence) model can also be used to determine the type of anomaly.

[0107] In some embodiments, the status data of the abnormal power line and the status data of the electrical equipment connected to the abnormal power line are input into a pre-trained first anomaly recognition model, so that the first anomaly recognition model can determine whether the electrical equipment connected to the abnormal power line is abnormal based on the features of the pre-learned status data.

[0108] The first anomaly detection model is an AI model. By pre-training the first anomaly detection model, it can learn the characteristics of the state data when the electrical equipment is in an abnormal state as well as the characteristics of the state data when there is no anomaly.

[0109] Then, after inputting the status data of the abnormal power line and the status data of the electrical equipment connected to the abnormal power line into the pre-trained first anomaly recognition model, the first anomaly recognition model can determine whether the electrical equipment connected to the abnormal power line is abnormal based on the pre-learned features of the status data of the electrical equipment under abnormal and normal conditions.

[0110] The training method for the first anomaly detection model is as follows: First, acquire the status data of multiple power lines under anomaly-free conditions stored within a historical time period, along with the status data of the electrical equipment connected to those power lines. Use this status data as the first training sample, labeled "no anomaly." Second, acquire the status data of multiple power lines under anomaly conditions stored within a historical time period, along with the status data of the electrical equipment connected to those power lines. Use this status data as the second training sample, labeled "abnormal electrical equipment." The first anomaly detection model is trained using the first and second training samples to adjust its parameters.

[0111] In other embodiments, the status data of the power distribution equipment connected to the abnormal power line is obtained; the status data of the abnormal power line and the status data of the power distribution equipment connected to the abnormal power line are input into a pre-trained second anomaly recognition model, so that the second anomaly recognition model determines whether the power distribution equipment connected to the abnormal power line is abnormal based on the features of the pre-learned status data.

[0112] The status data of the power distribution equipment connected to the abnormal power line is generated during the operation of the power distribution equipment and is used to reflect the status of the power supply provided by the power distribution equipment, including at least output voltage and output resistance. In some embodiments, the status data of the power distribution equipment also includes voltage ripple, supply frequency, leakage current, input circuit temperature, and overvoltage / overcurrent protection trigger count, etc.

[0113] The second anomaly detection model is also an AI model. The second anomaly detection model can be the same type of model as the first anomaly detection model, only the training samples used in the training process are different.

[0114] The training method for the second anomaly detection model is as follows: First, acquire the status data of multiple power lines under anomaly-free conditions from historical time periods, along with the status data of the power distribution equipment connected to those power lines. Use this status data as the third training sample, labeled "no anomaly." Second, acquire the status data of multiple power lines under anomaly conditions from historical time periods, along with the status data of the power distribution equipment connected to those power lines. Use this status data as the fourth training sample, labeled "power distribution equipment anomaly." The second anomaly detection model is then trained using the third and fourth training samples to adjust its parameters.

[0115] In this embodiment, the edge computing chip's sensor can also be installed at the interface where the power line connects to the power distribution equipment to collect status data of the power distribution equipment connected to the power line. The control chip acquires the status data of the power distribution equipment connected to the abnormal power line collected by the edge computing chip integrated with the abnormal power line. The control chip inputs the status data of the abnormal power line and the status data of the power distribution equipment connected to the abnormal power line into a pre-trained second anomaly recognition model. The second anomaly recognition model determines whether the power distribution equipment connected to the abnormal power line is abnormal based on the pre-learned features of the status data of the power distribution equipment under abnormal and normal conditions.

[0116] Leveraging the powerful learning and reasoning capabilities of AI models, it can identify whether connected electrical equipment and power distribution equipment are malfunctioning. Compared to relying on preset abnormal conditions, it can extract complex correlations between status data, resulting in more accurate identification.

[0117] Step S305: Based on the anomaly type, determine the control parameters of the electroluminescent material covered by the abnormal power line, and generate an identification instruction for the abnormal power line based on the control parameters.

[0118] In this embodiment, each power line is covered with an electroluminescent material. The optical properties of the electroluminescent material change under the influence of an applied electric field, and this change is directly manifested in the appearance as a change in color, brightness, or transparency. The electroluminescent material is connected to an edge computing chip integrated in the power line. The edge computing chip outputs electrical signals to the electroluminescent material to change its optical properties, thereby altering its color, brightness, or transparency.

[0119] The control parameters of electroluminescent materials are used to control their optical properties. The specific values ​​of the control parameters can be determined based on the selected electroluminescent material and preset markings, and will not be elaborated here.

[0120] In this embodiment, control parameters corresponding to each type of abnormality can be preset. For example, when the abnormality type is electrical equipment abnormality, the control parameter is parameter C; when the abnormality type is power distribution equipment abnormality, the control parameter is parameter D.

[0121] In this step, the control chip determines the control parameters corresponding to the abnormality type from the pre-set control parameters corresponding to each abnormality type, and generates an identification instruction for the abnormal power line based on the control parameters, that is, generates an identification instruction pointing to the control parameters.

[0122] Step S306: Send the identification instruction to the edge computing chip integrated in the abnormal power line to identify the abnormal power line.

[0123] In this step, the control chip sends a flag instruction to the edge computing chip integrated in the corresponding abnormal power line. Based on the control parameters, the edge computing chip outputs an electrical signal to the electroluminescent material, ultimately causing the electroluminescent material to display the flag of the abnormal power line.

[0124] In some embodiments, the indication of an abnormal power line may include color and flashing frequency.

[0125] Specifically, the control parameters include the polarity, magnitude, and frequency of the output voltage. The polarity and magnitude of the voltage adjust the color displayed by the electroluminescent material; for example, with a positive voltage input, the color gradually deepens as the voltage increases, changing from colorless and transparent to blue. The frequency of the color display by the output voltage adjusts the frequency of the electroluminescent material.

[0126] For example, when the anomaly type is electrical equipment anomaly, the control parameter is determined to be parameter C, and an indication command C pointing to parameter C is generated; the indication command C is sent to the edge computing chip integrated in the abnormal power line, and the edge computing chip outputs parameter C so that the abnormal power line displays the indication C. When the anomaly type is power distribution equipment anomaly, the control parameter is determined to be parameter D, and an indication command D pointing to parameter D is generated; the indication command D is sent to the edge computing chip integrated in the abnormal power line, and the edge computing chip outputs parameter D so that the abnormal power line displays the indication D.

[0127] Step S307: Generate an alarm notification based on the associated information of the abnormal power line to notify relevant personnel to handle the abnormal power line.

[0128] The associated information for abnormal power lines includes the unique identifier of the abnormal power line, the unique identifier of the server connected to the abnormal power line, and the unique identifier of the power distribution unit connected to the abnormal power line.

[0129] Unique identifiers are unique codes or strings assigned to power lines, electrical devices, and power distribution equipment for management purposes. For example, a unique identifier for an electrical device could be the serial number of its motherboard; a unique identifier for a power distribution device could be the serial number of its socket. Specifically, edge computing chips can read the unique identifiers of electrical devices and power distribution equipment through the out-of-band management interface of the electrical device and PLC protocols.

[0130] In this step, the edge computing chip integrated in the power line communicates with the power-consuming equipment and the power distribution equipment to obtain the association information of the abnormal power line, that is, to obtain the unique identifier of the abnormal power line, the unique identifier of the power-consuming equipment connected to the abnormal power line, and the unique identifier of the power distribution equipment connected to the abnormal power line.

[0131] Then, based on the association information of the abnormal power line, an alarm notification carrying the association information is generated so that relevant personnel can remotely locate the abnormal power line and take subsequent actions after receiving the alarm notification, based on the association information carried.

[0132] In some embodiments, alarm notifications may be in JSON format, which is easy for computers to understand.

[0133] By generating alarm notifications, remote dynamic monitoring is also achieved. This means that relevant personnel can receive alarm notifications remotely and be aware of an anomaly in a specific area without needing on-site inspection, thus reducing manpower investment. Upon entering the area, they can then handle the anomaly according to the markings, reducing overall response time and improving maintenance efficiency.

[0134] In this embodiment, by covering the power line with an electroluminescent material, the power line can display markings with different optical properties, making the markings more obvious and further improving the efficiency of power line positioning while reducing the risk of misoperation. Furthermore, abnormal power lines are identified based on preset operating states, avoiding the detection of power lines connected to non-operating devices, reducing the computational load of detection, and improving resource utilization. Simultaneously, when an operation command is issued, the power line indicated by the command is marked, preventing accidental operation of other power lines and improving operational safety. This further completes the power line marking method beyond simply marking abnormal power lines.

[0135] Figure 4 This is a flowchart illustrating yet another power cord marking method provided in this application embodiment. This embodiment provides a detailed description of the power cord marking method. Figure 4 As shown, the method provided in this embodiment includes:

[0136] Step S401: Does the operation command for the target power line exist? If it does, proceed to step S402; otherwise, proceed to step S406.

[0137] Step S402: Determine whether the operation instruction is a paired operation instruction. If yes, proceed to step S403; otherwise, proceed to step S405.

[0138] Step S403: Determine the matching power line that is paired with the target power line.

[0139] In this step, the paired power cord that is matched with the target power cord can be determined from the pre-set pairing relationships.

[0140] Alternatively, the matching power line can be determined based on the unique identifier of the target power line, the unique identifier of the server to which the target power line is connected, and the unique identifier of the power distribution unit to which the target power line is connected.

[0141] Step S404: Based on the operation type corresponding to the pairing operation command, mark the target power line and the pairing power line.

[0142] In this step, the target power cable and the mating power cable can be labeled with the symbol B.

[0143] Step S405: In response to the operation command of the target power line, the target power line is marked based on the operation type in the operation command.

[0144] In this step, the target power line can be labeled A.

[0145] Step S406: Obtain the status data of the corresponding power line and the connected electrical equipment collected by the edge computing chip integrated in each power line.

[0146] Step S407: Determine whether there is an abnormal power line based on the status data; if there is, proceed to step S408; if not, proceed to step S412.

[0147] In this step, for each power line, if the preset operating status of the connected electrical equipment indicates that the electrical equipment should be in the power-on state, and the status data of the power line meets the preset abnormal conditions, then the power line is determined to be an abnormal power line.

[0148] Step S408: Check if the electrical equipment is abnormal.

[0149] The status data of the abnormal power line and the status data of the electrical equipment connected to the abnormal power line are input into the pre-trained first anomaly recognition model, so that the first anomaly recognition model can determine whether the electrical equipment connected to the abnormal power line is abnormal based on the features of the pre-learned status data.

[0150] Step S409: Check if the power distribution equipment is abnormal.

[0151] In this step, the status data of the power distribution equipment connected by the abnormal power line is obtained; the status data of the abnormal power line and the status data of the power distribution equipment connected by the abnormal power line are input into a pre-trained second anomaly identification model, so that the second anomaly identification model can determine whether the power distribution equipment connected by the abnormal power line is abnormal based on the features of the pre-learned status data.

[0152] Step S410: Based on the abnormality type, mark the abnormal power line.

[0153] In this step, if the electrical equipment is abnormal, the abnormal power line will be marked with the symbol C; if the power distribution equipment is abnormal, the abnormal power line will be marked with the symbol D.

[0154] If both the electrical equipment and the power distribution equipment are malfunctioning, the abnormal power line will be marked with the symbol E.

[0155] Step S411: Generate an alarm notification based on the associated information of the abnormal power line to notify relevant personnel to handle the abnormal power line.

[0156] Step S412: Read the association information of each power line and send it up.

[0157] In this step, the unique identifiers of the power cord, the electrical equipment connected to the power cord, and the power distribution equipment connected to the power cord are read and sent to the management platform so that the management platform can monitor the connection of the power cord for easy management.

[0158] The power cord marking method provided in this application has similar technical effects to the method provided in any of the above embodiments of this application, and will not be described again here.

[0159] Figure 5 This is a schematic diagram of a power cord marking device provided in an embodiment of this application. Figure 5 As shown, the power cord marking device provided in this embodiment is applied to the control chip of the marking system. The control chip is communicatively connected to the edge computing chip integrated in the power cord. The device includes a status data acquisition module 501, an abnormal power cord determination module 502, and a marking module 503.

[0160] The status data acquisition module 501 is used to acquire the status data of the corresponding power line and the connected power equipment collected by the edge computing chip integrated in each power line; the abnormal power line determination module 502 is used to determine the abnormal power line and its abnormal type based on the status data; the marking module 503 is used to mark the abnormal power line based on the abnormal type.

[0161] Optionally, each power cord is covered with an electroluminescent material; the marking module 503 is specifically used for:

[0162] Based on the anomaly type, the control parameters of the electroluminescent material covered by the abnormal power line are determined, and based on the control parameters, an identification instruction for the abnormal power line is generated. The identification instruction is then sent to the edge computing chip integrated in the abnormal power line to identify the abnormal power line.

[0163] Optionally, the abnormal power line determination module 502 includes an abnormal power line determination unit and an abnormality type determination unit, wherein:

[0164] The abnormal power line determination unit is used to determine the power line as an abnormal power line if the preset operating status of the connected electrical equipment indicates that the electrical equipment should be in the power-on state, and the status data of the power line meets the preset abnormal conditions. The abnormality type determination unit is used to determine the abnormality type of the abnormal power line based on the status data of the abnormal power line and the connected electrical equipment.

[0165] Optionally, the abnormality types include abnormality of electrical equipment connected to abnormal power lines, and abnormality of power distribution equipment connected to abnormal power lines.

[0166] Optionally, this exception type determination unit is specifically used for:

[0167] The status data of the abnormal power line and the status data of the electrical equipment connected to the abnormal power line are input into the pre-trained first anomaly recognition model, so that the first anomaly recognition model can determine whether the electrical equipment connected to the abnormal power line is abnormal based on the features of the pre-learned status data.

[0168] Optionally, this exception type determination unit is specifically used for:

[0169] Obtain the status data of the power distribution equipment connected by the abnormal power line; input the status data of the abnormal power line and the status data of the power distribution equipment connected by the abnormal power line into a pre-trained second anomaly identification model, so that the second anomaly identification model can determine whether the power distribution equipment connected by the abnormal power line is abnormal based on the features of the pre-learned status data.

[0170] Optionally, the power cord marking device further includes a first marking module, the first marking module being used for:

[0171] In response to the operation command of the target power line, the target power line is marked based on the operation type in the operation command.

[0172] Optionally, the power cord marking device further includes a second marking module, the second marking module being used for:

[0173] If the operation command is a pairing operation command, the paired power line that is paired with the target power line is determined from the pre-set pairing relationships; the pairing operation command is an instruction to perform a specified operation on the target power line and to perform an associated operation on the paired power line simultaneously; the target power line and the paired power line are marked based on the operation type corresponding to the pairing operation command.

[0174] Optionally, the power cord indicator device further includes a remote alarm module, which is used for:

[0175] Based on the association information of the abnormal power line, an alarm notification is generated to notify relevant personnel to handle the abnormal power line. The association information of the abnormal power line includes the unique identifier of the abnormal power line, the unique identifier of the electrical equipment connected to the abnormal power line, and the unique identifier of the power distribution equipment connected to the abnormal power line.

[0176] The power cord marking device provided in this application can be used to implement the power cord marking method provided in any of the above embodiments of this application. Its implementation principle and technical effect are similar, and will not be described again here.

[0177] Figure 6 This is a schematic diagram of the structure of a marking system provided in an embodiment of this application. For example... Figure 6 As shown, the identification system in this embodiment may include: a control chip 610 and an edge computing chip 620 integrated in the power line.

[0178] The edge computing chip 620 is used to collect status data of the corresponding power line and the electrical equipment connected to it; the control chip 610 is used to implement the power line identification method provided in the above embodiment.

[0179] Optional, Figure 7 This is a schematic diagram of the application system provided in an embodiment of this application. Figure 7 As shown, the application system includes a signage system, a power cord 710, a power-consuming device 720, and a power distribution device 730. The power cord 710 connects the power-consuming device 720 and the power distribution device 730; specifically, it connects the power module of the power-consuming device 720 to the power distribution device 730. The signage system includes a control chip 610, an edge computing chip 620, an electroluminescent material 630, and a buzzer 640. The electroluminescent material 630 covers the power cord 710 and is connected to the edge computing chip 620. The buzzer 640 is connected to the edge computing chip 620. The electroluminescent material 630 and the buzzer 640 are used for displaying the signage.

[0180] The edge computing chip 620 and the control chip can communicate through dual communication paths. One communication path uses a network communication protocol and communicates through the out-of-band management interface 721 of the power-consuming device 720 connected by a power line. The other path uses power line communication technology and communicates through the interface of the power distribution device 730.

[0181] Optionally, the edge computing chip 620 and the control chip 610 also include magnetic interfaces, and other devices can be connected to the edge computing chip 620 or the control chip 610 through the corresponding magnetic interfaces to perform on-site control of the edge computing chip 620 and the control chip 610.

[0182] The implementation principle and technical effects of the signage system provided in this embodiment can be found in the foregoing embodiments, and will not be repeated here.

[0183] This application also provides a computer-readable storage medium storing computer-executable instructions. When the computer-executable instructions are executed by a processor, the methods provided in any of the foregoing embodiments can be implemented.

[0184] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the method provided in any of the foregoing embodiments.

[0185] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily essential to this application.

[0186] It should be further noted that although the steps in the flowchart are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowchart may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the sub-steps or stages of other steps.

[0187] It should be understood that the above-described device embodiments are merely illustrative, and the device of this application can also be implemented in other ways. For example, the division of units / modules in the above embodiments is only a logical functional division, and there may be other division methods in actual implementation. For example, multiple units, modules, or components may be combined, or integrated into another system, or some features may be ignored or not executed.

[0188] Furthermore, unless otherwise specified, the functional units / modules in the various embodiments of this application can be integrated into one unit / module, or each unit / module can exist physically separately, or two or more units / modules can be integrated together. The integrated units / modules described above can be implemented in hardware or as software program modules.

[0189] When integrated units / modules are implemented in hardware, the hardware can be digital circuits, analog circuits, etc. The physical implementation of the hardware structure includes, but is not limited to, transistors, memristors, etc. Unless otherwise specified, the processor can be any suitable hardware processor, such as a CPU, GPU, FPGA, DSP, and ASIC, etc. Unless otherwise specified, the storage unit can be any suitable magnetic or magneto-optical storage medium, such as Resistive Random Access Memory (RRAM), Dynamic Random Access Memory (DRAM), Static Random Access Memory (SRAM), Enhanced Dynamic Random Access Memory (EDRAM), High-Bandwidth Memory (HBM), Hybrid Memory Cube (HMC), etc.

[0190] If the integrated unit / module is implemented as a software program module and sold or used as an independent product, it can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned memory includes various media capable of storing program code, such as a USB flash drive, read-only memory (ROM), random access memory (RAM), portable hard drive, magnetic disk, or optical disk.

[0191] In the above embodiments, the descriptions of each embodiment have their own emphasis. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments. The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as the combination of these technical features does not contradict each other, it should be considered within the scope of this specification.

[0192] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this application are indicated by the following claims.

[0193] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.

Claims

1. A method for marking power cords, characterized in that, A control chip used in an identification system, wherein the control chip is communicatively connected to an edge computing chip integrated in a power supply line, the method comprising: Acquire the status data of the corresponding power lines and the connected electrical devices collected by the edge computing chips integrated in each power line; Based on the status data, determine the abnormal power line and its abnormality type; The abnormal power line is marked based on the type of abnormality.

2. The method according to claim 1, characterized in that, Each of the power lines is covered with an electroluminescent material; the marking of the abnormal power lines based on the abnormality type includes: Based on the anomaly type, the control parameters of the electroluminescent material covered by the abnormal power line are determined, and based on the control parameters, an identification instruction for the abnormal power line is generated. The identification instruction is sent to the edge computing chip integrated in the abnormal power line to identify the abnormal power line.

3. The method according to claim 1, characterized in that, The step of determining the abnormal power line and its abnormality type based on the status data includes: For each of the power lines, if the preset operating status in the status data of the connected electrical equipment indicates that the electrical equipment should be in the power-on state, and the status data of the power line meets the preset abnormal conditions, then the power line is determined to be an abnormal power line. Based on the status data of the abnormal power line and the electrical equipment connected to it, the abnormal type of the abnormal power line is determined.

4. The method according to claim 3, characterized in that, The abnormality types include abnormalities in the electrical equipment connected to the abnormal power line and abnormalities in the power distribution equipment connected to the abnormal power line.

5. The method according to claim 4, characterized in that, The step of determining the abnormality type of the abnormal power line based on the status data of the abnormal power line and the electrical equipment connected to it includes: The status data of the abnormal power line and the status data of the electrical equipment connected to the abnormal power line are input into a pre-trained first anomaly recognition model, so that the first anomaly recognition model can determine whether the electrical equipment connected to the abnormal power line is abnormal based on the features of the pre-learned status data.

6. The method according to claim 5, characterized in that, The method further includes: Obtain the status data of the power distribution equipment connected to the abnormal power line; The status data of the abnormal power line and the status data of the power distribution equipment connected to the abnormal power line are input into a pre-trained second anomaly identification model, so that the second anomaly identification model can determine whether the power distribution equipment connected to the abnormal power line is abnormal based on the features of the pre-learned status data.

7. The method according to any one of claims 1-6, characterized in that, The method further includes: In response to an operation command for the target power line, the target power line is marked based on the operation type in the operation command.

8. The method according to claim 7, characterized in that, The method further includes: If the operation instruction is a pairing operation instruction, then a paired power line that is paired with the target power line is determined from the preset pairing relationships; the pairing operation instruction is an instruction that instructs to perform a specified operation on the target power line and requires synchronous association operation on the paired power line. The target power line and the paired power line are identified based on the operation type corresponding to the pairing operation command.

9. The method according to any one of claims 1-6, characterized in that, The method further includes: Based on the associated information of the abnormal power line, an alarm notification is generated to notify relevant personnel to handle the abnormal power line. The associated information of the abnormal power line includes the unique identifier of the abnormal power line, the unique identifier of the electrical equipment connected to the abnormal power line, and the unique identifier of the power distribution equipment connected to the abnormal power line.

10. A power cord marking device, characterized in that, A control chip for use in an identification system, the control chip being communicatively connected to an edge computing chip integrated in a power line, the device comprising: The status data acquisition module is used to acquire the status data of the corresponding power lines and the connected electrical equipment collected by the edge computing chips integrated in each power line. An abnormal power line determination module is used to determine the abnormal power line and its abnormality type based on the status data. The marking module is used to mark the abnormal power line based on the abnormality type.

11. A signage system, characterized in that, This includes: control chips, and edge computing chips integrated into the power supply line; The edge computing chip is used to collect status data of the corresponding power lines and the electrical equipment connected to them. The control chip is used to implement the method as described in any one of claims 1 to 9.

12. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1 to 9.

13. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method of any one of claims 1 to 9.

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