Integrated fault monitoring method and platform for power supply circuit

Abstract

The application discloses an integrated fault monitoring method and platform for a power supply circuit, relates to the field of power supply circuit fault monitoring, and comprises the following steps: constructing an integrated monitoring module according to the topological structure of the power supply circuit; monitoring the states of various devices, outputting an integrated monitoring data set, analyzing and determining a fault element and the fault monitoring data set; establishing a power flow analysis model, performing fault diffusion analysis, obtaining a first diffusion-related network and a second diffusion-related network; and establishing a double-CAN bus communication system, wherein each device on the first diffusion-related network performs data transmission through a first CAN bus, and each device on the second diffusion-related network performs data transmission through a second CAN bus. The application solves the technical problem of insufficient accuracy and timeliness of fault processing in the existing fault monitoring for the power supply circuit, and achieves the technical effect of improving the accuracy and timeliness of fault processing.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of power supply circuit fault monitoring, and particularly relates to an integrated fault monitoring method and platform for a power supply circuit. BACKGROUND

[0002] With the expansion of the scale and the increase of the complexity of the power system, the number of devices in the power supply circuit increases dramatically. In order to ensure the stable operation of the power system, it is necessary to discover and handle the faults in the power supply circuit in time and accurately. In the existing power supply circuit fault monitoring method, a decentralized monitoring method is usually adopted, that is, each device is monitored separately, and the monitoring data is collected to a central processor for analysis. When the number of devices in the power supply circuit is large, this method may cause communication congestion, affecting the real-time performance and reliability of data transmission, and due to the decentralized monitoring of each device, it is difficult to accurately determine the fault element and its influence range, which may lead to untimely or misjudged fault handling.

[0003] At present, in the related art, the fault monitoring for the power supply circuit has the technical problem of insufficient accuracy and timeliness of fault handling. SUMMARY

[0004] The present application provides an integrated fault monitoring method and platform for a power supply circuit, which adopts the technical means of constructing an integrated monitoring module according to the topology structure of the power supply circuit, analyzing and determining the fault element and its corresponding fault monitoring data set by using the data set output by the integrated monitoring module, establishing a power flow analysis model, performing fault diffusion analysis on the fault element and its influence range, obtaining a main relevant network and a secondary relevant network, establishing a double CAN bus communication system according to the fault diffusion analysis result, and performing independent data transmission of the devices on the main relevant network and the secondary relevant network, so as to achieve the technical effect of improving the accuracy and timeliness of fault handling.

[0005] The application provides an integrated fault monitoring method for a power supply circuit, comprising: constructing an integrated monitoring module according to the topology of the power supply circuit; monitoring the state of each device on the power supply circuit according to the integrated monitoring module, outputting an integrated monitoring data set, analyzing the integrated monitoring data set to determine a fault element and a fault monitoring data set corresponding to the fault element; establishing a power flow analysis model, performing fault diffusion analysis on the fault element and the fault monitoring data set by using the power flow analysis model, obtaining a first diffusion-related network and a second diffusion-related network, the first diffusion-related network being a main related network affected by the fault element, and the second diffusion-related network being a secondary related network affected by the fault element; and establishing a dual-CAN bus communication system, the dual-CAN bus communication system comprising a first CAN bus and a second CAN bus, each device on the first diffusion-related network transmitting data through the first CAN bus, and each device on the second diffusion-related network transmitting data through the second CAN bus.

[0006] In a possible implementation, the following processing is performed: the integrated monitoring module comprises a sensor unit and a communication interface unit, the sensor unit is used to monitor the state of each device on the power supply circuit, including current, voltage, temperature, and frequency; and the communication interface unit is used to transmit the monitoring data of each device on the first diffusion-related network and the second diffusion-related network to a central processing system through the first CAN bus and the second CAN bus, respectively.

[0007] In a possible implementation, the following processing is performed: the first CAN bus and the second CAN bus of the dual-CAN bus communication system are optical fiber communication links, and the bandwidth of the first CAN bus is greater than that of the second CAN bus.

[0008] In a possible implementation, the following processing is performed: the message priority mechanism of the CAN bus protocol is extracted, wherein the message priority mechanism comprises a time slice delay identifier; and the message priority of the first CAN bus is configured to be greater than that of the second CAN bus by using the time slice delay identifier.

[0009] In a possible implementation, the fault diffusion analysis on the fault element and the fault monitoring data set by using the power flow analysis model obtains a first diffusion-related network and a second diffusion-related network, and the following processing is performed: the fault element and the fault monitoring data set are input into the power flow analysis model, voltage fluctuation indexes and current fluctuation indexes of different devices caused by the fault monitoring data set are calculated by using a power flow calculation formula; fluctuation influence degrees of different devices are calculated according to the voltage fluctuation indexes and the current fluctuation indexes, and a fluctuation influence set is output; devices with fluctuation influence greater than or equal to a preset influence index are divided into the first diffusion-related network, and devices with fluctuation influence less than the preset influence index are divided into the second diffusion-related network.

[0010] In a possible implementation, after the voltage fluctuation indexes and the current fluctuation indexes of different devices caused by the fault monitoring data set are calculated by using the power flow calculation formula, the following processing is further performed: voltage fluctuation persistences and current fluctuation persistences of different devices, and voltage fluctuation consistencies and current fluctuation consistencies of the same device at different time nodes are monitored; the fluctuation influence set is output by calculating according to the voltage fluctuation persistences, the current fluctuation persistences, the voltage fluctuation consistencies and the current fluctuation consistencies.

[0011] In a possible implementation, the following processing is performed: voltage fluctuation indexes and current fluctuation indexes of different devices caused by the fault monitoring data set are calculated by using a power flow calculation formula, and the power flow calculation formula includes a node voltage equation and a power balance equation; an expression of the node voltage equation is as follows: ; wherein, is a voltage of node i, is an initial voltage of node i, , is an admittance matrix element between node i and node j, indicating electrical connectivity, and is an impedance between node i and node j, is a voltage of node j, and node i and node j are different nodes in a topology of the power supply circuit; an expression of the power balance equation is as follows: ; wherein, is active power of node i, is reactive power of node i, is a complex conjugate of node j, indicating a conjugate value of a voltage amplitude and a phase of node j.

[0012] The application also provides an integrated fault monitoring platform for a power supply circuit, comprising: an integrated monitoring module construction module, configured to construct an integrated monitoring module according to a topology of the power supply circuit; a device state monitoring module, configured to monitor states of each device on the power supply circuit according to the integrated monitoring module, output an integrated monitoring data set, analyze the integrated monitoring data set to determine a fault element and a fault monitoring data set corresponding to the fault element; a fault diffusion analysis module, configured to establish a power flow analysis model, perform fault diffusion analysis on the fault element and the fault monitoring data set by using the power flow analysis model, obtain a first diffusion-related network and a second diffusion-related network, the first diffusion-related network being a main related network affected by the fault element, and the second diffusion-related network being a secondary related network affected by the fault element; and a communication system establishment module, configured to establish a dual-CAN bus communication system, the dual-CAN bus communication system comprising a first CAN bus and a second CAN bus, each device on the first diffusion-related network performing data transmission through the first CAN bus, and each device on the second diffusion-related network performing data transmission through the second CAN bus.

[0013] The integrated fault monitoring method and platform for a power supply circuit provided by the application first construct an integrated monitoring module according to a topology of the power supply circuit, then monitor states of each device on the power supply circuit according to the integrated monitoring module, output an integrated monitoring data set, analyze the integrated monitoring data set to determine a fault element and a fault monitoring data set corresponding to the fault element, next establish a power flow analysis model, perform fault diffusion analysis on the fault element and the fault monitoring data set by using the power flow analysis model, obtain a first diffusion-related network and a second diffusion-related network, the first diffusion-related network being a main related network affected by the fault element, and the second diffusion-related network being a secondary related network affected by the fault element, and finally establish a dual-CAN bus communication system, the dual-CAN bus communication system comprising a first CAN bus and a second CAN bus, each device on the first diffusion-related network performing data transmission through the first CAN bus, and each device on the second diffusion-related network performing data transmission through the second CAN bus. The technical effect of improving the accuracy and timeliness of fault processing is achieved. BRIEF DESCRIPTION OF DRAWINGS

[0014] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings of the embodiments of the present application. The flow chart is used to illustrate the operation performed by the platform according to the embodiments of the present application. It should be understood that the foregoing or the following operation is not necessarily performed in sequence. On the contrary, according to the needs, various steps can be processed in reverse order or simultaneously. Meanwhile, other operations can be added to these processes, or a step or several steps can be removed from these processes.

[0015] Figure 1 The flow chart of the integrated fault monitoring method for the power supply circuit provided by the embodiments of the present application.

[0016] Figure 2 The structural schematic diagram of the integrated fault monitoring platform for the power supply circuit provided by the embodiments of the present application.

[0017] Label explanation: integrated monitoring module construction module 10, device state monitoring module 20, fault diffusion analysis module 30, communication system establishment module 40. DETAILED DESCRIPTION

[0018] The foregoing description is only a summary of the technical solutions of the present application. In order to more clearly understand the technical means of the present application, the embodiments of the present application can be implemented according to the content of the description, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the following specific embodiments of the present application are described.

[0019] In order to make the purposes, technical solutions and advantages of the present application more clear, the following will further describe the present application in combination with the drawings, and the described embodiments should not be regarded as limiting the present application. All other embodiments obtained by those skilled in the art without making creative efforts belong to the scope of protection of the present application.

[0020] In the following description, "some embodiments" are described, which describe a subset of all possible embodiments, but it can be understood that "some embodiments" can be the same subset or different subset of all possible embodiments, and can be combined with each other without conflict. The term "first\second" is only to distinguish similar objects, and does not represent the specific order of the objects. The terms "include" and "have" and any variations, are intended to cover non-exclusive inclusion, for example, a process, method, platform, product or server including a series of steps or units does not have to be limited to those steps or units clearly listed, but can include other steps or modules not clearly listed or inherent to these processes, methods, products or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as understood by those skilled in the art of the technology to which the present application belongs. The terms used herein are only for the purpose of describing the embodiments of the present application.

[0021] The embodiments of the present application provide an integrated fault monitoring method for a power supply circuit, which comprises the following steps: Figure 1 As shown in the figure, the method comprises the following steps:

[0022] In step S100, an integrated monitoring module is constructed according to the topology of the power supply circuit.

[0023] Specifically, detailed topology information of the power supply circuit is collected, including various devices (such as transformers, circuit breakers, switches, loads, etc.) in the circuit and their connection modes. Using circuit design software, a topology model of the power supply circuit is constructed according to the collected information, which can accurately reflect the connection relationship and electrical characteristics between the devices in the circuit. Based on the constructed topology model, an integrated monitoring module is designed, which includes sensors, data acquisition units, data processing units, etc., for real-time monitoring of the state of the power supply circuit. The sensors are used to monitor the state (such as current, voltage, temperature, etc.) of each device in the circuit in real time, the data acquisition unit is used to collect these state information, and the data processing unit is used to preliminarily process and analyze the collected data. The designed integrated monitoring module is deployed in the power supply circuit to ensure that each key device has a corresponding monitoring sensor and data acquisition unit.

[0024] In one possible implementation, step S100 further comprises step S110, wherein the integrated monitoring module comprises a sensor unit and a communication interface unit, the sensor unit is used to monitor the state of each device on the power supply circuit, including current, voltage, temperature, frequency, and the communication interface unit is used to transmit the monitoring data of each device on the first diffusion-related network and the second diffusion-related network to the central processing system through the first CAN bus and the second CAN bus respectively.

[0025] Specifically, the functional units of the integrated monitoring module include a sensor unit and a communication interface unit. The sensor unit uses high-precision and high-reliability sensors, such as Hall sensors (for current monitoring), voltage dividing resistors or voltage transformers (for voltage monitoring), thermistors or infrared temperature measurement sensors (for temperature monitoring), frequency meters or digital signal processors (for frequency monitoring). The sensors are installed on the key devices of the power supply circuit, such as transformers, circuit breakers, busbars, loads, etc., to ensure that the current, voltage, temperature and frequency of the devices can be monitored in real time. Detailed technical specification table is provided for each sensor, including measurement range, accuracy, response time, operating environment temperature, etc., to ensure that the selected sensor meets the actual application requirements. The sensor unit data specification is shown in Table 1, for example.

[0026]

[0027] Table 1

[0028] The communication interface unit adopts a CAN bus communication interface (a network technology used to connect microcontrollers and devices for data communication), which has the advantages of multi-master, high speed, long distance communication, strong error detection and recovery capability, etc. The sensor unit is equipped with a CAN bus communication module, and the data collected by the sensor is transmitted to the central processing system (a high-performance computer or embedded system) through the CAN bus for receiving, processing and analyzing data from various monitoring modules to achieve fault monitoring and diagnosis of the power supply circuit. At the same time, according to the diffusion-related network division obtained in step S300, two independent CAN bus channels (first CAN bus and second CAN bus) are designed for data transmission of devices on the first diffusion-related network and the second diffusion-related network, respectively. A CAN bus communication protocol table is developed, including data frame format, identifier allocation, data field meaning, etc., to ensure the correctness and consistency of data transmission.

[0029] The designed sensor unit and communication interface unit are integrated into the monitoring module, and the module is deployed to the corresponding position of the power supply circuit to ensure that each key device has a corresponding monitoring module for real-time monitoring. This implementation adopts a modular design idea, integrating the sensor unit and the communication interface unit into the monitoring module, improving the flexibility and scalability of the system. By dividing the diffusion-related network and using independent CAN bus channels for data transmission, the fault element can be quickly located when a fault occurs, and the affected devices can be isolated, reducing the impact of the fault on the power supply circuit.

[0030] Step S200, according to the integrated monitoring module, the state of each device on the power supply circuit is monitored, and the integrated monitoring data set is output, and the integrated monitoring data set is analyzed to determine the fault element and the fault monitoring data set corresponding to the fault element.

[0031] Specifically, the state information of each device on the power supply circuit is monitored in real time by the sensor in the integrated monitoring module. The data acquisition unit is responsible for collecting these state information and storing them in the data processing unit to form the integrated monitoring data set. An example of the integrated monitoring data set is shown in Table 2.

[0032]

[0033] Table 2

[0034] The integrated monitoring data set is analyzed using data analysis algorithms (such as machine learning algorithms, statistical methods, etc.) to identify abnormal device states, i.e. fault elements. For the identified fault elements, their related monitoring data is extracted to form the fault monitoring data set. An example of the integrated monitoring data set is shown in Table 3 (taking the failure of device T001 as an example).

[0035]

[0036] Table 3

[0037] As a specific application example, a power supply system contains multiple transformers, circuit breakers and loads. Through the integrated monitoring module, the system collects real-time data such as current, voltage, temperature and frequency of these devices. In the data preprocessing stage, the system removes some abnormal values caused by sensor failure (sudden surge in current value or voltage value beyond the normal range), and standardizes the data. Then, the system extracts the key features of each device, including the oil temperature rise rate of the transformer, the tripping frequency of the circuit breaker, etc. Using the support vector machine algorithm, the system detects that the oil temperature of a certain transformer is abnormally high, accompanied by an increase in current fluctuation. Through fault location and diagnosis, the system determines that the transformer has a winding short circuit fault. Subsequently, the system collects all monitoring data before and after the fault of the transformer, forming a fault monitoring data set.

[0038] Step S300, establish a power flow analysis model, use the power flow analysis model to analyze the fault diffusion of the fault element and the fault monitoring data set, and obtain a first diffusion related network and a second diffusion related network, the first diffusion related network is a main related network affected by the fault element, and the second diffusion related network is a secondary related network affected by the fault element.

[0039] Specifically, according to the topological structure and electrical characteristics of the power supply circuit, a power flow analysis model is established, which can simulate the distribution and change of current and voltage in the circuit. The power flow analysis model is used to analyze the fault diffusion of the fault element and its fault monitoring data set. During the analysis process, the influence of the fault element on other devices in the circuit is calculated in combination with the electrical connection relationship and mutual influence between the devices in the circuit. According to the results of the fault diffusion analysis, the devices that are greatly affected by the fault element are divided into a first diffusion related network (main related network), and the devices that are less affected by the fault element are divided into a second diffusion related network (secondary related network).

[0040] In a possible implementation, the fault element and the fault monitoring data set are analyzed by the power flow analysis model to obtain a first diffusion-related network and a second diffusion-related network, and step S300 further includes step S310 of inputting the fault element and the fault monitoring data set into the power flow analysis model, and calculating voltage fluctuation indexes and current fluctuation indexes of different devices caused by the fault monitoring data set by using a power flow calculation formula. Specifically, the power flow analysis model is constructed based on physical characteristics and mathematical principles of the power system, and can simulate the distribution and change of current and voltage in the power system. The fault monitoring data set of the fault element includes key parameters such as current, voltage, frequency, and the like before and after the fault occurs. The fault monitoring data set is input into the power flow analysis model, and the position and type of the fault element are specified. The model internally calculates the fluctuation of voltage and current of each device caused by the fault by using a power flow calculation formula (a mathematical formula based on basic principles of the power system, used to calculate current and voltage, such as Kirchhoff's current law, Kirchhoff's voltage law, and the like) and an impedance matrix of the system (a matrix describing impedance relationships between devices in the power system), that is, voltage fluctuation indexes and current fluctuation indexes, which reflect the influence degree of the fault on the electrical state of each device.

[0041] Step S320, according to the voltage fluctuation indexes and the current fluctuation indexes, calculating the fluctuation influence degree of different devices, and outputting a fluctuation influence set. Specifically, according to the requirements of system stability and device safety, the threshold or standard of voltage fluctuation and current fluctuation is set. The fluctuation indexes of each device are compared with the preset threshold to evaluate the fluctuation influence degree (the severity of the influence of the fault on the electrical state fluctuation of each device), for example, the ratio, difference or other quantitative evaluation methods can be used to realize. The evaluation results are arranged into a fluctuation influence set, including a list of affected devices, corresponding fluctuation indexes and fluctuation influence degrees.

[0042] Step S330, according to the set of fluctuation influences, devices with fluctuation influences greater than or equal to a preset influence index are divided into a first diffusion correlation network, and devices with fluctuation influences less than the preset influence index are divided into a second diffusion correlation network. Specifically, according to the importance of the system and the criticality of the devices, the preset influence index is set, which is used to distinguish the main correlation network affected by the fault and the secondary correlation network affected by the fault. Devices with fluctuation influence greater than or equal to the preset influence index are divided into the first diffusion correlation network (main correlation network), which are affected by the fault and need to be paid attention to and processed in priority; devices with fluctuation influence less than the preset influence index are divided into the second diffusion correlation network (secondary correlation network), which are affected by the fault and need to be monitored and evaluated. The division result is output, including the device list of the first diffusion correlation network and the second diffusion correlation network and the corresponding fluctuation influence. This implementation mode can effectively manage the fault and allocate resources by dividing the devices into different diffusion correlation networks according to the influence of the fault on each device in the system, which can adapt to the monitoring needs of power supply circuits of different scales and complexities.

[0043] In a possible implementation mode, the voltage fluctuation index and the current fluctuation index of different devices caused by the fault monitoring data set are calculated by a power flow calculation formula, and step S310 further includes step S311. The power flow calculation formula includes a node voltage equation and a power balance equation. Specifically, the node voltage equation is an equation describing the relationship between the voltages of each node in the power system, which is used to calculate the node voltage. The power balance equation is an equation describing the power balance state of each node in the power system, which is used to analyze power distribution and power flow calculation.

[0044] Step S312, the expression of the node voltage equation is as follows:

[0045] ;

[0046] Wherein, is the voltage of node i, is the initial voltage of node i, , is the admittance matrix element between node i and node j, indicating electrical connectivity, is the impedance between node i and node j, The voltage of node j, and node i and node j are different nodes in the topology of the power supply circuit. Specifically, the node voltage equation is used to calculate the different node voltage fluctuation indicators caused by the fault monitoring data set. The position of the fault element, the fault monitoring data set (including the current, voltage, etc. before and after the fault), and the topology of the power supply circuit (including the admittance matrix between nodes) are taken as input data. According to the expression of the node voltage equation, the voltage of each node is calculated by using a numerical solution method. By comparing the node voltages before and after the fault, the voltage fluctuation indicators are calculated, which reflect the degree of influence of the fault on the voltages of each node.

[0047] In step S313, the expression of the power balance equation is as follows:

[0048] ;

[0049] wherein, is the active power of node i, is the reactive power of node i, is the complex conjugate of node j, indicating the conjugate value of the amplitude and phase of the voltage of node j. Specifically, the power balance equation is used to calculate the different node power fluctuation indicators caused by the fault monitoring data set. As in step S312, the position of the fault element, the fault monitoring data set, and the topology of the power supply circuit are input. According to the expression of the power balance equation, the active power and reactive power of each node are calculated in combination with the known node voltages and the admittance matrix. By comparing the node powers before and after the fault, the power fluctuation indicators are calculated, which reflect the degree of influence of the fault on the powers of each node. This implementation quantitatively evaluates the degree of influence of the fault on the voltages and powers of each node by introducing the node voltage equation and the power balance equation, thereby accurately dividing the main relevant network (the first diffusion relevant network) and the secondary relevant network (the second diffusion relevant network) affected by the fault, and improving the reliability and stability of the power supply circuit.

[0050] In a possible implementation, after calculating the voltage fluctuation indicators and current fluctuation indicators of different devices caused by the fault monitoring data set by the power flow calculation formula, step S320 can further include step S321 of monitoring the voltage fluctuation persistence and current fluctuation persistence of different devices, and the voltage fluctuation consistency and current fluctuation consistency of the same device at different time nodes. Specifically, the voltage and current fluctuation data of each device after the fault are obtained from the power flow analysis model. These data exist in the form of time series, that is, there is a corresponding voltage or current value at each time point. The trend of voltage and current fluctuation is identified by using a time series analysis method (such as moving average, exponential smoothing, etc.), and the persistence of fluctuation is evaluated. Persistence refers to whether the fluctuation remains relatively stable or continuously increases / decreases within a period of time. The fluctuation amplitude, frequency, and other statistical indicators of voltage and current are calculated to quantify the intensity of fluctuation.

[0051] For the same device, compare its voltage and current fluctuation data at different time nodes, and evaluate the consistency of fluctuations using correlation analysis (such as Pearson correlation coefficient, Spearman rank correlation coefficient, etc.). High consistency indicates that the fluctuation behavior of the device at different time points is similar. Examples of voltage and current fluctuation persistence and consistency are shown in Table 4 (taking the failure of device T001 as an example).

[0052]

[0053] Table 4

[0054] Step S322, according to the voltage fluctuation persistence, current fluctuation persistence, voltage fluctuation consistency and current fluctuation consistency, the fluctuation influence set is output. Specifically, according to the actual application requirement, different weights are assigned to the voltage fluctuation persistence, current fluctuation persistence, voltage fluctuation consistency and current fluctuation consistency, which reflect their importance in evaluating the influence of fault diffusion. Multiply the voltage and current fluctuation indicators of each device (after the persistence and consistency test) by their corresponding weights, and then sum them up to get the comprehensive fluctuation influence indicator of each device, forming the fluctuation influence set. This set contains a list of devices affected by the fault to different degrees and their corresponding comprehensive fluctuation influence indicators. This implementation method comprehensively evaluates the diffusion influence of the fault in the power supply circuit by monitoring the voltage and current fluctuation persistence and consistency, which helps to more accurately divide the primary and secondary relevant networks affected by the fault.

[0055] Step S400, a double CAN bus communication system is established, which includes a first CAN bus and a second CAN bus, and each device on the first diffusion relevant network transmits data through the first CAN bus, and each device on the second diffusion relevant network transmits data through the second CAN bus.

[0056] Specifically, the CAN bus technology is selected as the communication means, and a first CAN bus and a second CAN bus system are respectively established according to the divided first diffusion-related network and the second diffusion-related network. Each system includes a CAN bus controller and a plurality of CAN nodes (i.e., devices in the circuit). The parameters (such as baud rate, address allocation, etc.) of the CAN bus are configured according to actual needs to ensure the reliability and efficiency of communication. The devices on the first diffusion-related network transmit data through the first CAN bus, and the devices on the second diffusion-related network transmit data through the second CAN bus, so that when a fault occurs, the fault information is quickly transmitted to the related devices for fault handling and recovery. The embodiments of the present application adopt a topology structure according to the power supply circuit to construct an integrated monitoring module, utilize the data set output by the integrated monitoring module, analyze and determine the fault element and the corresponding fault monitoring data set, establish a power flow analysis model, perform fault diffusion analysis on the fault element and its influence range, obtain the main related network and the secondary related network, according to the fault diffusion analysis result, establish a double CAN bus communication system, and perform independent data transmission of the devices on the main related network and the secondary related network and other technical means, thereby achieving the technical effects of improving the accuracy and timeliness of fault handling.

[0057] In a possible implementation manner, the step S400 further includes a step S410, the first CAN bus and the second CAN bus of the double CAN bus communication system are optical fiber communication links, and the bandwidth of the first CAN bus is greater than the bandwidth of the second CAN bus.

[0058] Specifically, the dual-CAN bus communication system is implemented as a first CAN bus and a second CAN bus using an optical fiber communication link, and the bandwidth of the first CAN bus is greater than that of the second CAN bus. Optical fiber communication is a communication method that uses light waves as information carriers and optical fibers as transmission media, and has advantages such as large transmission capacity, long transmission distance, and strong anti-electromagnetic interference capability. In the integrated fault monitoring system of the power supply circuit, the optical fiber communication link is deployed, including the laying of optical fiber cables, the installation of optical fiber connectors, and the configuration of optical fiber communication equipment, etc. The optical fiber communication link is used to improve the stability and reliability of data transmission. Bandwidth refers to the amount of data transmitted per unit time. In the dual-CAN bus communication system, different bandwidths are allocated to the first CAN bus and the second CAN bus by adjusting the parameters of the communication equipment or configuring the software. The system automatically adjusts the transmission rate and priority of data according to the pre-set bandwidth allocation strategy, ensures that critical data on the main related network (first diffusion related network) can be transmitted preferentially and quickly, and data on the secondary related network (second diffusion related network) can be transmitted at a lower bandwidth, thereby realizing effective management and optimization of data. This implementation method uses an optical fiber communication link to improve the stability and reliability of data transmission, and optimizes the data transmission efficiency by allocating different bandwidths to the first CAN bus and the second CAN bus.

[0059] In a possible implementation, step S400 further includes step S420 of extracting a message priority mechanism of the CAN bus protocol, wherein the message priority mechanism includes a time slice delay identifier. Specifically, in the CAN bus protocol, the message priority mechanism is implemented by assigning each message a priority identifier. This identifier determines the transmission order of the message on the bus. The identifier used to represent the priority of the message, i.e. the time slice delay identifier, is identified and extracted from the CAN bus protocol. This identifier can be a numerical value or a specific set of bits. The extracted priority identifier is recorded and arranged in a format that is easy to understand and apply.

[0060] Step S430, configure the message priority of the first CAN bus to be greater than the message priority of the second CAN bus using the time slice delay identifier. Specifically, according to the time slice delay identifier, different priorities are set for messages on the first CAN bus and the second CAN bus respectively. For the first CAN bus, the priority of the message is set to a lower time slice delay value (indicating high priority); for the second CAN bus, the priority of the message is set to a higher time slice delay value (indicating low priority). After the configuration is completed, verification and testing are performed by simulating data transmission and observing the transmission order to ensure that the message priority mechanism works as expected. This implementation ensures that critical data is not blocked or delayed by low-priority data during transmission by setting different message priorities for the first CAN bus and the second CAN bus, thereby improving the overall efficiency of data transmission.

[0061] In the foregoing, reference has been made to Figure 1 The integrated fault monitoring method for a power supply circuit according to an embodiment of the application is described in detail. Next, the integrated fault monitoring platform for a power supply circuit according to an embodiment of the application will be described with reference to Figure 2 The integrated fault monitoring platform for a power supply circuit according to an embodiment of the application is described in detail. Next, the integrated fault monitoring platform for a power supply circuit according to an embodiment of the application will be described with reference to

[0062] The integrated fault monitoring platform for a power supply circuit according to an embodiment of the application is used to solve the technical problem of insufficient accuracy and timeliness of fault handling in the prior art, achieving the technical effect of improving the accuracy and timeliness of fault handling. The integrated fault monitoring platform for a power supply circuit comprises an integrated monitoring module construction module 10, a device state monitoring module 20, a fault diffusion analysis module 30, and a communication system establishment module 40.

[0063] The integrated monitoring module construction module 10 is used to construct an integrated monitoring module according to the topology of the power supply circuit. The device state monitoring module 20 is used to monitor the state of each device on the power supply circuit according to the integrated monitoring module, output an integrated monitoring data set, analyze the integrated monitoring data set to determine a fault element and a fault monitoring data set corresponding to the fault element. The fault diffusion analysis module 30 is used to establish a power flow analysis model, and perform fault diffusion analysis on the fault element and the fault monitoring data set using the power flow analysis model to obtain a first diffusion-related network and a second diffusion-related network. The first diffusion-related network is a main related network affected by the fault element, and the second diffusion-related network is a secondary related network affected by the fault element. The communication system establishment module 40 is used to establish a dual-CAN bus communication system, which comprises a first CAN bus and a second CAN bus. Each device on the first diffusion-related network transmits data through the first CAN bus, and each device on the second diffusion-related network transmits data through the second CAN bus.

[0064] In the following, the specific configuration of the integrated monitoring module construction module 10 will be described in detail. As described above, the integrated monitoring module construction module 10 can further comprise an integrated monitoring module building unit for building an integrated monitoring module, wherein the integrated monitoring module comprises a sensor unit for monitoring the status of each device on the power supply circuit, including current, voltage, temperature, frequency, and a communication interface unit for transmitting the monitoring data of each device on the first diffusion-related network and the second diffusion-related network to the central processing system through the first CAN bus and the second CAN bus, respectively.

[0065] In the following, the specific configuration of the communication system establishment module 40 will be described in detail. As described above, the communication system establishment module 40 can further comprise a communication system configuration unit for configuring a dual-CAN bus communication system, wherein the first CAN bus and the second CAN bus of the dual-CAN bus communication system are optical fiber communication links, and the bandwidth of the first CAN bus is greater than that of the second CAN bus.

[0066] In the following, the specific configuration of the communication system establishment module 40 will be described in detail. As described above, the communication system establishment module 40 can further comprise a communication system configuration unit for configuring a dual-CAN bus communication system, wherein the first CAN bus and the second CAN bus of the dual-CAN bus communication system are optical fiber communication links, and the bandwidth of the first CAN bus is greater than that of the second CAN bus.

[0067] In the following, the specific configuration of the fault diffusion analysis module 30 will be described in detail. As described above, the fault diffusion analysis module 30 can further comprise a power flow calculation unit for inputting the fault element and the fault monitoring data set into the power flow analysis model, calculating the voltage fluctuation index and the current fluctuation index of different devices caused by the fault monitoring data set through the power flow calculation formula, a fluctuation impact degree calculation unit for calculating the fluctuation impact degree of different devices according to the voltage fluctuation index and the current fluctuation index, outputting a fluctuation impact set, and a diffusion-related network division unit for dividing devices with fluctuation impact greater than or equal to a preset impact index into a first diffusion-related network and devices with fluctuation impact less than the preset impact index into a second diffusion-related network according to the fluctuation impact set.

[0068] Wherein, after calculating the voltage fluctuation indicators and the current fluctuation indicators of different devices caused by the fault monitoring data set through the power flow calculation formula, the fluctuation influence degree calculation unit can further include: a fluctuation monitoring sub-unit for monitoring the voltage fluctuation persistence and the current fluctuation persistence of different devices, and the voltage fluctuation consistency and the current fluctuation consistency of the same device at different time nodes; a fluctuation calculation sub-unit for calculating according to the voltage fluctuation persistence, the current fluctuation persistence, the voltage fluctuation consistency and the current fluctuation consistency, and outputting a fluctuation influence set.

[0069] Wherein, after calculating the voltage fluctuation indicators and the current fluctuation indicators of different devices caused by the fault monitoring data set through the power flow calculation formula, the power flow calculation unit can further include: a power flow calculation formula construction sub-unit for constructing the power flow calculation formula, the power flow calculation formula including a node voltage equation and a power balance equation, the expression of the node voltage equation being as follows: , wherein, is the voltage of node i, is the initial voltage of node i, , is the admittance matrix element between node i and node j, indicating electrical connectivity, is the impedance between node i and node j, is the voltage of node j, node i and node j being different nodes in the topology of the power supply circuit, the expression of the power balance equation being as follows: , wherein, is the active power of node i, is the reactive power of node i, is the complex conjugate of node j, indicating the conjugate value of the amplitude and phase of the voltage of node j.

[0070] The integrated fault monitoring platform for the power supply circuit provided by the embodiments of the present application can execute the integrated fault monitoring method for the power supply circuit provided by any of the embodiments of the present application, and has the corresponding function modules and beneficial effects of executing the method.

[0071] Although the present application makes various references to certain modules in the platform according to the embodiments of the present application, however, any number of different modules can be used and run on the user terminal and / or server, and the various units and modules are only divided according to the functional logic, but are not limited to the above division, as long as the corresponding functions can be realized; in addition, the specific names of each functional unit are only for the convenience of mutual differentiation, and do not limit the protection scope of the present application.

[0072] The foregoing DETAILED DESCRIPTION, including the above section titled "Detailed Description," is not to be taken as limiting the scope of the application. Various modifications, combinations, and equivalents can be apparent to those skilled in the art and can be made once the nature of the application is understood. Any modification, combination, or equivalent, which falls within the principles and the scope of the present application, is intended to be included in the present application. In some instances, the actions or steps can be performed in different order from those described herein, and still achieve desirable results. Additionally, the process depicted in the figures can not necessarily require the particular order shown or sequential order to achieve the desired results. In certain implementations, multitasking and parallel processing can be advantageous.

Claims

1. An integrated fault monitoring method for a power supply circuit, characterized by, The method comprises: According to the topology of the power supply circuit, an integrated monitoring module is constructed; According to the integrated monitoring module, the state of each device on the power supply circuit is monitored, an integrated monitoring data set is output, a fault element and a fault monitoring data set corresponding to the fault element are determined by analyzing the integrated monitoring data set; A power flow analysis model is established, and the fault element and the fault monitoring data set are analyzed by the power flow analysis model to obtain a first diffusion-related network and a second diffusion-related network, the first diffusion-related network is a main related network affected by the fault element, and the second diffusion-related network is a secondary related network affected by the fault element; A double-CAN bus communication system is established, the double-CAN bus communication system comprises a first CAN bus and a second CAN bus, each device on the first diffusion-related network transmits data through the first CAN bus, and each device on the second diffusion-related network transmits data through the second CAN bus; Wherein, the fault element and the fault monitoring data set are input into the power flow analysis model, and the voltage fluctuation index and the current fluctuation index of different devices caused by the fault monitoring data set are calculated by a power flow calculation formula; According to the voltage fluctuation index and the current fluctuation index, the fluctuation influence of different devices is calculated, and a fluctuation influence set is output; According to the fluctuation influence set, devices with fluctuation influence greater than or equal to a preset influence index are divided into a first diffusion-related network, and devices with fluctuation influence less than the preset influence index are divided into a second diffusion-related network; Wherein, the voltage fluctuation index and the current fluctuation index of different devices caused by the fault monitoring data set are calculated by a power flow calculation formula, and the power flow calculation formula comprises a node voltage equation and a power balance equation; The expression of the power balance equation is as follows: The expression of the nodal voltage equation is as follows: ; wherein, Vj is the voltage at node j, V0 is the initial voltage at node i, , Yij is the admittance matrix element between node i and node j, representing the electrical connectivity, Zij is the impedance between node i and node j, Vj is the voltage at node j, node i and node j being different nodes in the topology of the power supply circuit; The integrated monitoring module comprises a sensor unit and a communication interface unit, the sensor unit is used for monitoring the state of each device on the power supply circuit, including current, voltage, temperature, frequency; ； wherein, P is the active power for node i, Q is the reactive power for node i, is the complex conjugate of node j, representing the conjugate values of the magnitude and phase of the voltage of node j.

2. The integrated fault monitoring method for a power supply circuit according to claim 1, wherein, The communication interface unit is used for transmitting the monitoring data of each device on the first diffusion-related network and the second diffusion-related network to a central processing system through a first CAN bus and a second CAN bus respectively. The first CAN bus and the second CAN bus of the double-CAN bus communication system are optical fiber communication links, and the bandwidth of the first CAN bus is greater than that of the second CAN bus.

3. The integrated fault monitoring method for a power supply circuit according to claim 1, wherein, The message priority mechanism of the CAN bus protocol is extracted, wherein the message priority mechanism comprises a time slice delay identifier; 4. The integrated fault monitoring method for a power supply circuit according to claim 3, wherein, The message priority of the first CAN bus is configured to be greater than that of the second CAN bus by using the time slice delay identifier. ​ 5. The integrated fault monitoring method for a power supply circuit according to claim 1, wherein, After calculating the voltage fluctuation index and the current fluctuation index of different devices caused by the fault monitoring dataset through the power flow calculation formula, the method further comprises: monitoring the voltage fluctuation persistence and the current fluctuation persistence of different devices, and the voltage fluctuation consistency and the current fluctuation consistency of the same device at different time nodes; calculating according to the voltage fluctuation persistence, the current fluctuation persistence, the voltage fluctuation consistency and the current fluctuation consistency, and outputting a fluctuation influence set.

6. An integrated fault monitoring platform for power supply circuits, characterized by, The platform is used to implement the integrated fault monitoring method for the power supply circuit according to any one of claims 1-5, and the platform comprises: an integrated monitoring module construction module configured to construct an integrated monitoring module according to the topology of the power supply circuit; a device state monitoring module configured to monitor the state of each device on the power supply circuit according to the integrated monitoring module, output an integrated monitoring dataset, analyze the integrated monitoring dataset to determine a fault element and a fault monitoring dataset corresponding to the fault element; a fault diffusion analysis module configured to establish a power flow analysis model, perform fault diffusion analysis on the fault element and the fault monitoring dataset by using the power flow analysis model, obtain a first diffusion correlation network and a second diffusion correlation network, the first diffusion correlation network being a main correlation network affected by the fault element, and the second diffusion correlation network being a secondary correlation network affected by the fault element; a communication system establishment module configured to establish a double CAN bus communication system, the double CAN bus communication system comprising a first CAN bus and a second CAN bus, each device on the first diffusion correlation network performing data transmission through the first CAN bus, and each device on the second diffusion correlation network performing data transmission through the second CAN bus.

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