Asset monitoring system and asset monitoring method for a power distribution system

Abstract

The present disclosure provides an asset monitoring system and an asset monitoring method for a power distribution system. The power distribution system includes a power distribution room level, a power distribution cabinet level, and an element level. The asset monitoring system includes a processor and a memory having program instructions stored thereon that, when executed by the processor, determine a health parameter of the power distribution system, determine an environmental safety parameter of the power distribution system, determine a power supply reliability parameter of the power distribution system, and determine a state of the power distribution system based on at least the health parameter, the environmental safety parameter, and the power supply reliability parameter.

Description

Technical Field

[0001] This disclosure generally relates to the field of power distribution, and more particularly to an asset monitoring system and method for power distribution systems. Background Technology

[0002] Traditional power distribution systems typically rely on experienced maintenance personnel who manage a limited system over extended periods. This accumulated experience allows them to assess the condition of distribution facilities, the system's operational status, and the need for maintenance, ensuring a reliable power supply. However, with rapid technological advancements and the accelerated digitization of power distribution systems in recent years, businesses and power service providers are looking for a comprehensive system combining distribution models, operational data, and evaluation methods to accurately assess the health of power distribution systems and assets. This data will guide their rational and safe operation and maintenance, ensuring a high-quality and efficient supply of reliable power. Existing power monitoring systems, distribution monitoring systems, and energy management systems, as well as competitors' asset management and energy management software, fail to adequately address this issue. Their focus solely on distribution asset management is insufficient, primarily due to the lack of a detailed model encompassing the entire power distribution system, its assets, and the relationships between them, along with a lack of reasonable, professional, and comprehensive evaluation methods.

[0003] Furthermore, existing systems often use qualitative descriptions of asset health status in their asset health assessments, frequently employing grading systems such as healthy, sub-healthy, and abnormal. Alternatively, they may use the Analytic Hierarchy Process (AHP). While these methods can assess asset health levels, the grading results are closely related to the asset itself and still contain a subjective element. Moreover, when multiple asset health assessments fall into the same category, it is difficult to determine which is superior. In practical applications, the AHP suffers from consistency testing, which is conducted within a certain probability range. Within the valid consistency range, constructing different judgment matrices may yield different results, making it difficult to ensure that the assessment results most closely reflect the true situation. Summary of the Invention

[0004] To address one or more deficiencies in the prior art, this disclosure provides an asset monitoring system for a power distribution system, wherein the power distribution system includes a distribution room level, a distribution cabinet level, and a component level, and the asset monitoring system includes:

[0005] processor; and

[0006] A memory that stores program instructions, which, when executed by a processor, perform the following operations:

[0007] Determine the health parameters of the power distribution system;

[0008] Determine the environmental safety parameters of the power distribution system;

[0009] Determine the power supply reliability parameters of the power distribution system; and

[0010] The state of the power distribution system is determined based at least on the health parameters, the environmental safety parameters, and the power supply reliability parameters.

[0011] According to one embodiment of this disclosure, the program instructions, when executed by a processor, also perform the following operations:

[0012] Determine the power quality parameters of the power distribution system;

[0013] Determine the communication quality parameters of the power distribution system;

[0014] Determine the alarm count parameters of the power distribution system;

[0015] The status of the power distribution system is determined based at least on the health parameters, environmental safety parameters, power supply reliability parameters, power quality parameters, communication quality parameters, and alarm count parameters.

[0016] According to one embodiment of this disclosure, the operation of determining the health parameters of the power distribution system includes:

[0017] Determine the health parameters of the power distribution room level;

[0018] Determine the health parameters of the power distribution cabinet level;

[0019] Determine the health parameters of the component level; and

[0020] The minimum value among the health parameters of the power distribution room level, the power distribution cabinet level, and the component level shall be used as the health parameter of the power distribution system.

[0021] According to one embodiment of this disclosure, health parameters for the power distribution room level, the power distribution cabinet level, and the component level are determined by weighted deduction based on the alarm events that occur, wherein each type of alarm event has a corresponding weight.

[0022] According to one embodiment of this disclosure, the operation of determining the environmental safety parameters of the power distribution system includes:

[0023] Determine the environmental safety parameters for the power distribution room level;

[0024] Determine the environmental safety parameters for the power distribution cabinet level;

[0025] The environmental safety parameters of the power distribution system are determined based on the minimum value of the environmental safety parameters at the power distribution room level and the environmental safety parameters at the power distribution cabinet level.

[0026] According to one embodiment of this disclosure, environmental safety parameters for the power distribution room level and the power distribution cabinet level are determined by weighted deduction based on the abnormal events that occur, wherein each type of abnormal event has a corresponding weight.

[0027] According to one embodiment of this disclosure, the operation of determining the power supply reliability parameters of the power distribution system includes:

[0028] Determine the power supply reliability parameters for the aforementioned distribution cabinet level;

[0029] Determine the power supply reliability parameters at the component level; and

[0030] The minimum value among the power supply reliability parameters of the distribution cabinet level and the component level shall be used as the power supply reliability parameter of the power distribution system.

[0031] According to one embodiment of this disclosure, power supply reliability parameters for the distribution cabinet level and the component level are determined by weighted deduction based on the power supply anomaly events that occur, wherein each type of power supply anomaly event has a corresponding weight.

[0032] According to one embodiment of this disclosure, the operation of determining the power quality parameters of the power distribution system includes:

[0033] Determine the power quality parameters of the distribution cabinet level;

[0034] Determine the power quality parameters at the component level; and

[0035] The minimum value among the power quality parameters of the distribution cabinet level and the component level shall be used as the power quality parameter of the power distribution system.

[0036] According to one embodiment of this disclosure, power quality parameters at the distribution cabinet level and the component level are determined by weighted deduction based on the power quality events that occur, wherein each type of power quality anomaly event has a corresponding weight.

[0037] According to one embodiment of this disclosure, the operation of determining the communication quality parameters of the power distribution system includes: determining the communication quality parameters of the power distribution system by weighted deduction based on the communication anomaly events that occur, wherein each type of communication anomaly event has a corresponding weight.

[0038] According to one embodiment of this disclosure, the operation of determining the alarm count parameter of the power distribution system includes: determining the alarm count parameter of the power distribution system based on the proportion of abnormal event time and the number of alarms.

[0039] According to one embodiment of this disclosure, the program instructions perform the operation periodically; or the operation is triggered by a user instruction.

[0040] According to one embodiment of this disclosure, the operation of determining the state of the power distribution system includes: determining the state of the power distribution system by weighting health parameters, environmental safety parameters, power supply reliability parameters, power quality parameters, communication quality parameters, and alarm count parameters of the power distribution system.

[0041] According to one embodiment of this disclosure, when the program instructions are executed by the processor, they also perform the following operation: issuing an alarm when the state of the power distribution system is abnormal.

[0042] This disclosure also provides an asset monitoring method for a power distribution system, wherein the power distribution system includes a substation level, a distribution cabinet level, and a component level, and the asset monitoring method includes:

[0043] Determine the health parameters of the power distribution system;

[0044] Determine the environmental safety parameters of the power distribution system;

[0045] Determine the power supply reliability parameters of the power distribution system; and

[0046] The state of the power distribution system is determined based at least on the health parameters, the environmental safety parameters, and the power supply reliability parameters.

[0047] According to one embodiment of this disclosure, the asset monitoring method further includes:

[0048] Determine the power quality parameters of the power distribution system;

[0049] Determine the communication quality parameters of the power distribution system;

[0050] Determine the alarm count parameters of the power distribution system;

[0051] The step of determining the state of the power distribution system includes: determining the state of the power distribution system based at least on the health parameters, the environmental safety parameters, the power supply reliability parameters, the power quality parameters, the communication quality parameters, and the alarm count parameters.

[0052] According to embodiments of this disclosure, based on an established power distribution system model, and through the collection and recording of system operation data and events, a comprehensive evaluation covering six dimensions—system health, environmental safety, power supply reliability, power quality, communication compliance rate, and alarm proliferation rate—is achieved, enabling effective monitoring of complex power distribution systems. By evaluating the aging life, electrical life, and contact wear of key circuit breakers, maintenance and asset upgrades can be rationally scheduled, preventing malfunctions or failures caused by aging circuit breakers and thus avoiding electrical safety incidents. By evaluating the temperature rise and load at connection points within distribution cabinets, transformers, and power quality cabinets, loose connections can be identified and resolved, preventing overheating. By evaluating the safety of the environment in which the power distribution system operates, the lifespan of power distribution assets can be prevented from being shortened due to overheating, excessive cold, high humidity, high salt, or high fog. The scheme disclosed herein can evaluate whether the electrical parameters supplied by the power distribution system are stable, reliable, and meet the requirements; evaluate whether the power quality supplied by the power distribution system is stable, reliable, and compliant; evaluate the online compliance rate of the sensors in the power distribution system to avoid the inability to identify anomalies in a timely manner due to communication interruptions; and evaluate whether the number and frequency of events occurring in the power distribution monitoring system meet the standards to avoid excessive and frequent events. Attached Figure Description

[0053] The accompanying drawings are provided to further illustrate the present disclosure and form part of the specification. They are used together with the embodiments of the present disclosure to explain the disclosure and do not constitute a limitation thereof. In the drawings:

[0054] Figure 1 A schematic diagram of a power distribution system according to an embodiment of the present disclosure is shown;

[0055] Figure 2 An asset monitoring system for a power distribution system according to one embodiment of the present disclosure is shown;

[0056] Figure 3 A method for determining health parameters of the power distribution system according to an embodiment of the present disclosure is shown;

[0057] Figure 4 A method for determining environmental safety parameters of the power distribution system according to an embodiment of the present disclosure is shown;

[0058] Figure 5 A method for determining power supply reliability parameters of the power distribution system according to an embodiment of the present disclosure is shown;

[0059] Figure 6 A method for determining power quality parameters of the power distribution system according to an embodiment of the present disclosure is shown; and

[0060] Figure 7 An asset monitoring method for a power distribution system according to an embodiment of the present disclosure is shown. Detailed Implementation

[0061] In the following description, only certain exemplary embodiments are briefly described. As those skilled in the art will recognize, the described embodiments can be modified in various ways without departing from the spirit or scope of this disclosure. Therefore, the drawings and description are to be considered exemplary in nature and not restrictive.

[0062] In the description of this disclosure, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," and "counterclockwise," etc., indicating orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, are used only for the convenience of describing this disclosure and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this disclosure. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the stated features. In the description of this disclosure, "a plurality of" means two or more, unless otherwise explicitly and specifically defined.

[0063] In the description of this disclosure, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "joint" should be interpreted broadly. For example, they can refer to fixed connections, detachable connections, or integral connections; they can refer to mechanical connections, electrical connections, or connections that allow for communication; they can refer to direct connections or indirect connections through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this disclosure according to the specific circumstances.

[0064] In this disclosure, unless otherwise expressly specified and limited, "above" or "below" the second feature can include direct contact between the first and second features, or contact between the first and second features through another feature between them. Furthermore, "above," "over," and "on top" of the second feature includes the first feature directly above or diagonally above the second feature, or simply indicates that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature includes the first feature directly below or diagonally below the second feature, or simply indicates that the first feature is at a lower horizontal level than the second feature.

[0065] The following disclosure provides numerous different embodiments or examples for implementing various structures of this disclosure. To simplify the disclosure, specific examples of components and arrangements are described below. These are merely examples and are not intended to limit the scope of this disclosure. Furthermore, reference numerals and / or letters may be repeated in different examples; such repetition is for simplification and clarity and does not in itself indicate a relationship between the various embodiments and / or arrangements discussed. In addition, various specific examples of processes and materials are provided in this disclosure, but those skilled in the art will recognize the application of other processes and / or the use of other materials.

[0066] The embodiments of this disclosure are described below with reference to the accompanying drawings. It should be understood that the embodiments described herein are for illustration and explanation only and are not intended to limit this disclosure.

[0067] To address the problems existing in current technologies, this disclosure employs a reasonable and comprehensive monitoring system and methods for quantification, using quantitative values ​​to characterize the health status of equipment. Based on the current power distribution system, by constructing a detailed model of the entire power distribution system, a comprehensive and accurate assessment of the power distribution system's health can be achieved.

[0068] Figure 1 A schematic diagram of a power distribution system (project) according to an embodiment of the present disclosure is shown. Reference is made below. Figure 1 Detailed description.

[0069] like Figure 1 As shown, a power distribution system includes various types of elements, such as distribution rooms, distribution cabinets, circuits, and components, constructed in a tree-like structure to form the overall power distribution system. A power distribution system includes one or more distribution rooms; distribution room 1 is schematically shown in the figure. Those skilled in the art will readily understand that a power distribution system can include multiple distribution rooms. Distribution cabinets can be placed in the distribution rooms, such as distribution cabinet 1, distribution cabinet 2, and distribution cabinet 3 shown in the figure. Distribution cabinets can include various types, including but not limited to: incoming line cabinets, feeder cabinets, capacitor cabinets, bus tie cabinets, isolation cabinets, metering cabinets, and PT cabinets. Each distribution cabinet can sequentially include one or more circuits, and each circuit consists of one or more components. Alternatively, distribution cabinets and distribution rooms can also directly include components; for example, distribution cabinet 1 includes component 1, and distribution room 1 includes component 12.

[0070] Through the embodiments of this disclosure, the height, width, manufacturing process, busbar wiring method, number of circuits, circuit breaker height and rated capacity, nameplate parameters, etc., of each element can be clearly defined, thus constructing a complete model of the distribution cabinet and its associated circuits and components; constructing models of the environment in which the distribution cabinet is located, such as temperature, humidity, gas concentration, water immersion, latitude, longitude, and altitude; constructing electrical connections and energy supply relationships between power distribution systems; enabling comprehensive data acquisition and management; and allowing real-time recording of various operating indicators and statuses of the power distribution system; as well as periodic recording of the indicators and statuses of various components and equipment in the power distribution system. Based on event alarms, abnormal operation of the power distribution system can be identified.

[0071] exist Figure 1 The power distribution system shown is divided into three levels: distribution room level, distribution cabinet level, and component level. The component level includes components and circuits. By constructing a model of the entire power distribution system as described above, a comprehensive and accurate assessment of the system's health can be achieved.

[0072] Figure 2 An asset monitoring system 100 for a power distribution system, such as an embodiment of the present disclosure, is shown. Figure 1 The power distribution system shown includes the distribution room level, distribution cabinet level, and component level. See below for reference. Figure 2 Detailed description.

[0073] like Figure 2 As shown, the asset monitoring system 100 includes a processor 101 and a memory 103. In some embodiments, the processor 101 may include processing circuitry, a central processing unit (CPU), a microcontroller unit (MCU), a graphics processing unit (GPU), a digital signal processor (DSP), other general-purpose processors, application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), complex programmable logic devices (CPLDs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and other components or circuits.

[0074] In some embodiments, memory 103 may include random access memory (RAM) or non-volatile memory. Further, memory may include at least one of phase-change random access memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), read-only memory (ROM), and electrically erasable programmable read-only memory (EEPROM).

[0075] The processor 101 and the memory 103 can communicate with each other. For example, the processor 101 can read computer program instructions stored in the memory 103. When the computer program instructions are executed by the processor, the following operations are performed:

[0076] S11: Determine the health parameters of the power distribution system;

[0077] S12: Determine the environmental safety parameters of the power distribution system;

[0078] S13: Determine the power supply reliability parameters of the power distribution system; and

[0079] S14: Determine the state of the power distribution system based at least on the health parameters, the environmental safety parameters, and the power supply reliability parameters.

[0080] The health parameters of the power distribution system are used to characterize the health status of various hardware components within the system. These parameters reflect the overall health status of the power distribution system itself, including a comprehensive evaluation of key low- and medium-voltage components such as circuit breaker aging lifespan, dynamic temperature rise at distribution cabinet connection points, and load health. For example, based on... Figure 1 The power distribution system model shown can be used to determine the health parameters at the distribution room level, the distribution cabinet level, and the component level, thereby determining the overall health parameters of the power distribution system.

[0081] Figure 3 A method for determining the health parameters of the power distribution system according to an embodiment of the present disclosure is shown below, with reference to... Figure 3 Detailed description.

[0082] like Figure 3As shown, in step S111, the health parameters of the power distribution room level are determined.

[0083] In step S112, the health parameters of the power distribution cabinet level are determined.

[0084] In step S113, the health parameters of the component level are determined.

[0085] In step S114, the minimum value among the health parameters of the power distribution room level, the power distribution cabinet level, and the component level is taken as the health parameter of the power distribution system.

[0086] For hardware at the distribution room, distribution cabinet, and component levels, various potential (health) alarm events can be pre-configured, and corresponding weights (alarm level weights) can be assigned to each alarm event. Within a certain time period, based on the actual alarm events that occur, the health parameters of the hardware at each level are determined according to the weight of each alarm event. For example, the health parameters of the distribution room, distribution cabinet, and component levels can be determined separately using a weighted deduction method based on the alarm events that occur.

[0087] The following describes a method for determining health parameters at the power distribution room level, power distribution cabinet level, and component level according to an embodiment of the present disclosure.

[0088] Assume the number of distribution rooms in the power distribution system is A, the number of distribution cabinets is B, and the number of components is C. Additionally, several possible alarm events are pre-configured, including: loose spring screws in distribution cabinets causing increased busbar spacing; circuit breaker aging lifespan falling below a threshold alarm; dynamic temperature rise exceeding a threshold alarm; load distribution exceeding a threshold alarm, etc. The alarm events have three weighting levels, for example, 0.6 (low), 0.8 (medium), and 1 (high).

[0089] Acquire all alarm events that occurred within a certain period (e.g., in the past 24 hours) (e.g., from system fault diagnosis or manual triggering), and calculate health parameters at the power distribution room level, power distribution cabinet level, and component level.

[0090] The health parameter of the power distribution room level = 100 - 100 * (the alarm level weight of the first power distribution room that has an alarm event + the alarm level weight of the second power distribution room that has a health alarm + the alarm level weight of the third power distribution room that has a health alarm ...) / A.

[0091] The health parameter of the distribution cabinet level = 100 - 100 * (the alarm level weight of the first distribution cabinet that has an alarm event + the alarm level weight of the second distribution cabinet that has an alarm event + the alarm level weight of the third distribution cabinet that has an alarm event...) / B.

[0092] Component-level health parameter = 100 - 100 * (alarm level weight of the first component that triggered an alarm event + alarm level weight of the second component that triggered an alarm event + alarm level weight of the third component that triggered an alarm event...) / C.

[0093] After determining the health parameters at the distribution room level, distribution cabinet level, and component level, according to an embodiment of this disclosure, the minimum value among the three can be used as the health parameter of the power distribution system:

[0094] The health parameters of the power distribution system = Min (health parameters at the distribution room level, health parameters at the distribution cabinet level, and health parameters at the component level)

[0095] According to one embodiment of this disclosure, the average or weighted average of the above three levels of health parameters can also be used as the health parameters of the power distribution system.

[0096] Environmental safety parameters characterize the environment in which the power distribution system is located, including a comprehensive evaluation of factors such as temperature and humidity, water leakage, and concentration of harmful gases. Figure 4 A method for determining environmental safety parameters of a power distribution system according to an embodiment of this disclosure is illustrated. Reference is made below. Figure 4 Detailed description.

[0097] In step S121, the environmental safety parameters of the power distribution room level are determined.

[0098] In step S122, the environmental safety parameters of the power distribution cabinet level are determined.

[0099] In step S123, the environmental safety parameters of the power distribution system are determined based on the minimum value among the environmental safety parameters of the power distribution room level and the environmental safety parameters of the power distribution cabinet level.

[0100] For the power distribution room and power distribution cabinet levels, various possible environmental anomalies can be pre-configured, and corresponding weights can be assigned to each anomaly. Within a certain time period, based on the actual environmental anomalies that occur, the environmental safety parameters for each level are determined according to the weight of each anomaly. For example, the environmental safety parameters for the power distribution room and power distribution cabinet levels can be determined separately using a weighted deduction method based on the environmental anomalies that occur.

[0101] The following describes a method for determining environmental safety parameters for the power distribution room level and the power distribution cabinet level according to an embodiment of the present disclosure.

[0102] Assume the number of distribution rooms in the power distribution system project is A, and the number of distribution cabinets is B. Additionally, various possible environmental anomalies are pre-configured, such as: excessively high or low temperature; excessively high or low humidity; excessive concentration of harmful gases; water leakage; unauthorized access control; and infrared sensor alarm triggering. Alarm events are assigned weights at multiple levels, such as 0.4 (low), 0.6 (medium), and 0.8 (high).

[0103] Acquire all environmental anomalies that occurred within a certain period (e.g., within the past 24 hours) (e.g., from system fault diagnosis or manual triggering), and calculate environmental safety parameters at the power distribution room level and the power distribution cabinet level.

[0104] The environmental safety parameters of the power distribution room = 100 - 100 * (the alarm level weight of the first power distribution room where an environmental anomaly occurs + the alarm level weight of the second power distribution room where an environmental anomaly occurs + the alarm level weight of the third power distribution room where an environmental anomaly occurs...) / A;

[0105] The environmental safety parameters of the distribution cabinet are calculated as follows: 100 - 100 * (the alarm level weight of the first distribution cabinet that experiences an environmental anomaly + the alarm level weight of the second distribution cabinet that experiences an environmental anomaly + the alarm level weight of the third distribution cabinet that experiences an environmental anomaly, and so on) / B.

[0106] After determining the environmental safety parameters for the power distribution room level and the power distribution cabinet level respectively, according to an embodiment of this disclosure, the minimum value of the two can be used as the environmental safety parameter of the power distribution system:

[0107] Environmental safety parameters of the power distribution system = Mi n (Environmental safety parameters of the power distribution room, environmental safety parameters of the power distribution cabinet)

[0108] According to one embodiment of this disclosure, the average value or weighted average value of the environmental safety parameters at the two levels mentioned above can also be used as the environmental safety parameters of the power distribution system.

[0109] Power supply reliability parameters characterize the power supply reliability of a power distribution system, such as a comprehensive assessment of the stability and reliability of the voltage, current, and load provided. Figure 5 A method for determining power supply reliability parameters of a power distribution system according to an embodiment of the present disclosure is shown. Reference is made below. Figure 5 Detailed description.

[0110] like Figure 5 In step S131, the power supply reliability parameters of the distribution cabinet level are determined.

[0111] In step S132, the power supply reliability parameters of the component level are determined.

[0112] In step S133, the minimum value among the power supply reliability parameters of the distribution cabinet level and the component level is used as the power supply reliability parameter of the power distribution system.

[0113] For both the distribution cabinet and component levels, various potential power supply anomalies can be pre-configured, and corresponding weights can be assigned to each anomaly. Within a certain timeframe, based on the actual power supply anomalies that occur, the power supply reliability parameters for each level are determined according to the weight of each anomaly. For example, the power supply reliability parameters for the distribution cabinet and component levels can be determined separately using a weighted deduction method based on the occurring power supply anomalies.

[0114] The following describes a method for determining power supply reliability parameters at the distribution cabinet level and the component level according to an embodiment of the present disclosure.

[0115] Assume the number of distribution cabinets in the power distribution system project is B, and the number of components is C. Additionally, various possible power supply anomalies are pre-configured, such as: excessively high or low voltage, excessively high or low current, and excessively high or low power consumption. Alarm events have multiple weighting levels, for example, 0.4 (low), 0.6 (medium), and 0.8 (high).

[0116] Obtain all power supply anomalies that occurred within a certain period (e.g., within the past 24 hours) (e.g., from system fault diagnosis or manual triggering), and calculate power supply reliability parameters at the distribution cabinet level and component level.

[0117] Power supply reliability parameters of distribution cabinet = 100 - 100 * (alarm level weight of the first distribution cabinet with a power supply abnormality event + alarm level weight of the second distribution cabinet with a power supply abnormality event + alarm level weight of the third distribution cabinet with a power supply abnormality event...) / B;

[0118] Component power supply reliability parameter = 100 - 100 * (alarm level weight of the first component experiencing a power supply anomaly + alarm level weight of the second component experiencing a power supply anomaly + alarm level weight of the third component experiencing a power supply anomaly ...) / C.

[0119] After determining the power supply reliability parameters at the distribution cabinet level and the component level respectively, according to an embodiment of this disclosure, the minimum value of the two can be used as the power supply reliability parameter of the power distribution system:

[0120] Power supply reliability parameters of the power distribution system = Mi n (power supply reliability parameters of the distribution cabinet, power supply reliability parameters of the components)

[0121] According to one embodiment of this disclosure, the average value or weighted average value of the power supply reliability parameters at the two levels mentioned above can also be used as the power supply reliability parameter of the power distribution system.

[0122] According to one embodiment of this disclosure, the program instructions, when executed by a processor, also perform the following operations:

[0123] Determine the power quality parameters of the power distribution system;

[0124] Determine the communication quality parameters of the power distribution system;

[0125] Determine the alarm count parameters of the power distribution system;

[0126] The status of the power distribution system is determined based at least on the health parameters, environmental safety parameters, power supply reliability parameters, power quality parameters, communication quality parameters, and alarm count parameters.

[0127] Power quality parameters characterize the quality of power supplied by a power distribution system, such as a comprehensive assessment of the power provided by the power, including harmonics, power factor, and frequency. Figure 6 A method for determining power quality parameters of a power distribution system according to an embodiment of the present disclosure is shown. Reference is made below. Figure 6 Detailed description.

[0128] like Figure 6 As shown, in step S141, the power quality parameters of the distribution cabinet level are determined.

[0129] In step S142, the power quality parameters of the component level are determined.

[0130] In step S143, the minimum value among the power quality parameters of the distribution cabinet level and the component level is used as the power quality parameter of the power distribution system.

[0131] For both the distribution cabinet and component levels, various potential power quality anomalies can be pre-configured, and corresponding weights can be assigned to each event. Within a certain timeframe, based on the actual power quality anomalies that occur, the power quality parameters for each level are determined according to the weight of each event. For example, the power quality parameters for the distribution cabinet and component levels can be determined separately using a weighted deduction method based on the power quality anomalies that occur.

[0132] The following describes a method for determining power quality parameters at the distribution cabinet level and the component level according to an embodiment of the present disclosure.

[0133] Assume the number of distribution cabinets in the power distribution system project is B, and the number of components is C. Additionally, various possible power quality anomalies are pre-configured, including issues related to voltage imbalance and harmonics. Alarm events are assigned weights at multiple levels, such as 0.4 (low), 0.6 (medium), and 0.8 (high).

[0134] Acquire all power quality anomalies that occurred within a certain period (e.g., in the past 24 hours) (e.g., from system fault diagnosis or manual triggering), and calculate power quality parameters at the distribution cabinet level and component level.

[0135] Power quality parameters of distribution cabinet = 100 - 100 * (alarm level weight of the first distribution cabinet with a power quality abnormality event + alarm level weight of the second distribution cabinet with a power quality abnormality event + alarm level weight of the third distribution cabinet with a power quality abnormality event...) / B;

[0136] Component power quality parameter = 100 - 100 * (alarm level weight of the first component that experiences a power quality anomaly + alarm level weight of the second component that experiences a power quality anomaly + alarm level weight of the third component that experiences a power quality anomaly ...) / C.

[0137] After determining the power quality parameters at the distribution cabinet level and the component level respectively, according to one embodiment of this disclosure, the minimum value of the two can be used as the power quality parameter of the power distribution system:

[0138] Power quality parameters of a power distribution system = Min (power quality parameters of distribution cabinets, power quality parameters of components)

[0139] According to one embodiment of this disclosure, the average value or weighted average value of the power quality parameters at the two levels mentioned above can also be used as the power quality parameters of the power distribution system.

[0140] Communication quality parameters characterize the online status of secondary digital components in a power distribution system, such as a comprehensive assessment of the online rate of secondary digital components. According to one embodiment of this disclosure, the operation of determining the communication quality parameters of the power distribution system includes: determining the communication quality parameters of the power distribution system separately for each type of communication anomaly event using a weighted deduction method, wherein each type of communication anomaly event has a corresponding weight.

[0141] Assume that the number of distribution rooms in the power distribution system project is A, the number of distribution cabinets is B, and the number of components is C.

[0142] Obtain all communication anomalies that occurred within a certain period (e.g., within the past 24 hours) (e.g., originating from system fault diagnosis or manual triggering) and calculate the communication quality parameters of the power distribution system.

[0143] According to one embodiment of this disclosure, the communication quality parameters of the power distribution system are calculated in the following manner.

[0144] Communication quality parameters = 100 - 100 * (Alarm level weight of the first power distribution room where a communication anomaly occurred + Alarm level weight of the second power distribution room where a communication anomaly occurred + Alarm level weight of the third power distribution room where a communication anomaly occurred ... + Alarm level weight of the first power distribution cabinet where a communication anomaly occurred + Alarm level weight of the second power distribution cabinet where a communication anomaly occurred + Alarm level weight of the third power distribution cabinet where a communication anomaly occurred ... + Alarm level weight of the first component where a communication anomaly occurred + Alarm level weight of the second component where a communication anomaly occurred + Alarm level weight of the third component where a communication anomaly occurred ...) / (A + B + C).

[0145] According to one embodiment of this disclosure, the operation of determining the alarm count parameter of the power distribution system includes: determining the alarm count parameter of the power distribution system based on the proportion of abnormal event time and the number of alarms.

[0146] The alarm count parameter characterizes and describes the total number of alarm events in the power distribution system and whether it is excessive, for example, by comprehensively evaluating factors such as the total number of events occurring in the system and the duration of the excessive alarms. According to an embodiment of this disclosure, the alarm count parameter of the power distribution system is calculated in the following manner.

[0147] Get all abnormal or alarm events that occurred within a certain period of time (e.g., within the past 24 hours or 120 hours) (e.g., from system fault diagnosis or manual triggering), and count the total number A of all abnormal or alarm events.

[0148] Calculate the percentage C of the alarm flooding period. Specifically, for example, using a 10-minute cycle, when 10 or more events occur within 10 minutes, it indicates the start of an alarm flood; when fewer than 5 events occur within 10 minutes, it indicates the end of an alarm flood. Calculate the percentage C of the total alarm flooding period within this timeframe.

[0149] The alarm count parameter is calculated using the following method:

[0150] Points deducted for each alarm occurrence = (288-A) / 288*60. When A is greater than 288, 60 points are deducted.

[0151] Points deducted due to excessive alarms = (1% - C) * 40; when C is greater than 1%, 40 points are deducted.

[0152] Alarm count parameter = 100 - Daily alarm count deduction points - Alarm overload deduction points.

[0153] According to one embodiment of this disclosure, the program instructions can perform the operation periodically, for example, on a daily, weekly, or monthly basis. Alternatively, the program instructions can be triggered by user instructions to perform the operation.

[0154] According to one embodiment of this disclosure, the operation of determining the state of the power distribution system includes: determining the state of the power distribution system by weighting health parameters, environmental safety parameters, power supply reliability parameters, power quality parameters, communication quality parameters, and alarm count parameters. According to embodiments of this disclosure, a comprehensive evaluation of the health status of the entire power distribution system can be achieved using six-dimensional indicators.

[0155] According to one embodiment of this disclosure, when the program instructions are executed by the processor, they also perform the following operation: issuing an alarm when the state of the power distribution system is abnormal.

[0156] According to embodiments of this disclosure, potential health hazards in the power distribution system can be accurately identified, enabling reasonable scheduling of inspections and maintenance. For assets nearing the end of their lifespan, proactive pre-scheduling of inspections and maintenance is possible. For abnormal temperature rise points under low to medium loads, proactive pre-scheduling of safety inspections and maintenance is possible. Proactive operation and maintenance improves power supply reliability. It helps maintenance personnel quickly identify potential health hazards in the power distribution system. Daily automatic health checks and ad-hoc manual health checks help maintenance personnel assess the current system's health status in real time. Through comparative analysis, frequently malfunctioning assets can be identified, and repairs or maintenance can be scheduled to extend the system's lifespan.

[0157] Figure 7 An asset monitoring method 200 for a power distribution system according to an embodiment of the present disclosure is illustrated, wherein the power distribution system includes a substation level, a cabinet level, and a component level. Reference is made below. Figure 7 Detailed description.

[0158] like Figure 7 The asset monitoring method includes:

[0159] Step S11: Determine the health parameters of the power distribution system;

[0160] Step S12: Determine the environmental safety parameters of the power distribution system;

[0161] Step S13, determine the power supply reliability parameters of the power distribution system; and

[0162] Step S14: Determine the state of the power distribution system based at least on the health parameters, the environmental safety parameters, and the power supply reliability parameters.

[0163] According to one embodiment of this disclosure, the asset monitoring method 200 further includes:

[0164] Determine the power quality parameters of the power distribution system;

[0165] Determine the communication quality parameters of the power distribution system;

[0166] Determine the alarm count parameters of the power distribution system.

[0167] The step S14 includes: determining the status of the power distribution system based at least on the health parameters, the environmental safety parameters, the power supply reliability parameters, the power quality parameters, the communication quality parameters, and the alarm count parameters.

[0168] Finally, it should be noted that the above descriptions are merely embodiments of this disclosure and are not intended to limit this disclosure. Although this disclosure has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this disclosure should be included within the protection scope of this disclosure.

Claims

1. An asset monitoring system for a power distribution system, wherein the power distribution system includes a power distribution room level, a power distribution cabinet level, and a component level, and the asset monitoring system includes: processor; and A memory that stores program instructions, which, when executed by a processor, perform the following operations: Determine the health parameters of the power distribution system; Determine the environmental safety parameters of the power distribution system; Determine the power supply reliability parameters of the power distribution system; and The state of the power distribution system is determined based at least on the health parameters, the environmental safety parameters, and the power supply reliability parameters.

2. The asset monitoring system according to claim 1, wherein the program instructions, when executed by the processor, further perform the following operations: Determine the power quality parameters of the power distribution system; Determine the communication quality parameters of the power distribution system; Determine the alarm count parameters of the power distribution system; The status of the power distribution system is determined based at least on the health parameters, environmental safety parameters, power supply reliability parameters, power quality parameters, communication quality parameters, and alarm count parameters.

3. The asset monitoring system according to claim 1, wherein the operation of determining the health parameters of the power distribution system includes: Determine the health parameters of the power distribution room level; Determine the health parameters of the power distribution cabinet level; Determine the health parameters at the component level; and The minimum value among the health parameters of the power distribution room level, the power distribution cabinet level, and the component level shall be used as the health parameter of the power distribution system.

4. The asset monitoring system according to claim 3, wherein health parameters of the power distribution room level, the power distribution cabinet level, and the component level are determined by weighted deduction based on the alarm events that occur, wherein each type of alarm event has a corresponding weight.

5. The asset monitoring system according to claim 1, wherein the operation of determining the environmental safety parameters of the power distribution system includes: Determine the environmental safety parameters for the power distribution room level; Determine the environmental safety parameters for the power distribution cabinet level; The environmental safety parameters of the power distribution system are determined based on the minimum value of the environmental safety parameters at the power distribution room level and the environmental safety parameters at the power distribution cabinet level.

6. The asset monitoring system according to claim 5, wherein environmental safety parameters for the power distribution room level and the power distribution cabinet level are determined by weighted deduction based on the abnormal events that occur, wherein each type of abnormal event has a corresponding weight.

7. The asset monitoring system according to claim 1, wherein the operation of determining the power supply reliability parameters of the power distribution system includes: Determine the power supply reliability parameters for the aforementioned distribution cabinet level; Determine the power supply reliability parameters at the component level; and The minimum value among the power supply reliability parameters of the distribution cabinet level and the component level shall be used as the power supply reliability parameter of the power distribution system.

8. The asset monitoring system according to claim 7, wherein the power supply reliability parameters of the distribution cabinet level and the component level are determined by weighted deduction based on the power supply anomaly events that occur, wherein each type of power supply anomaly event has a corresponding weight.

9. The asset monitoring system according to claim 2, wherein the operation of determining the power quality parameters of the power distribution system includes: Determine the power quality parameters of the distribution cabinet level; Determine the power quality parameters at the component level; and The minimum value among the power quality parameters of the distribution cabinet level and the component level shall be used as the power quality parameter of the power distribution system.

10. The asset monitoring system according to claim 9, wherein power quality parameters at the distribution cabinet level and the component level are determined by weighted deduction based on the power quality events that occur, wherein each type of power quality anomaly event has a corresponding weight.

11. The asset monitoring system according to claim 2, wherein the operation of determining the communication quality parameters of the power distribution system includes: Based on the communication anomaly events that occur, the communication quality parameters of the power distribution system are determined by weighted deduction, wherein each type of communication anomaly event has a corresponding weight.

12. The asset monitoring system according to claim 2, wherein the operation of determining the alarm number parameter of the power distribution system includes: The alarm count parameter of the power distribution system is determined based on the proportion of abnormal event times and the number of alarms.

13. The asset monitoring system according to claim 1, wherein the program instructions execute the operation periodically; or the operation is triggered by a user instruction.

14. The asset monitoring system according to claim 2, wherein the operation of determining the status of the power distribution system includes: The state of the power distribution system is determined by weighting its health parameters, environmental safety parameters, power supply reliability parameters, power quality parameters, communication quality parameters, and alarm count parameters.

15. The monitoring system according to claim 2, wherein the program instructions, when executed by the processor, further perform the following operation: issuing an alarm when the state of the power distribution system is abnormal.

16. An asset monitoring method for a power distribution system, wherein the power distribution system includes a substation level, a distribution cabinet level, and a component level, the asset monitoring method comprising: Determine the health parameters of the power distribution system; Determine the environmental safety parameters of the power distribution system; Determine the power supply reliability parameters of the power distribution system; and The state of the power distribution system is determined based at least on the health parameters, the environmental safety parameters, and the power supply reliability parameters.

17. The asset monitoring method according to claim 16, further comprising: Determine the power quality parameters of the power distribution system; Determine the communication quality parameters of the power distribution system; Determine the alarm count parameters of the power distribution system; The step of determining the state of the power distribution system includes: determining the state of the power distribution system based at least on the health parameters, the environmental safety parameters, the power supply reliability parameters, the power quality parameters, the communication quality parameters, and the alarm count parameters.

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