A method and system for integrating multi-source heterogeneous distribution network operation data

Abstract

This invention discloses a method and system for integrating multi-source heterogeneous distribution network operation data, comprising: classifying distribution network operation data into real-time distribution network operation data, distribution network operation event data, and distribution network operation section data; and encapsulating, transmitting, and parsing the data according to the distribution network operation data interaction protocol corresponding to each data type; the distribution network operation data interaction protocol includes a unified measurement dictionary table and a unified device dictionary table design, uniformly naming and numbering various measurement devices and measurement types involved in distribution network operation. This invention enables multi-source heterogeneous distribution network automation systems to assemble and send distribution network operation data according to standard specifications, and the target system to parse the distribution network operation data according to unified specifications, while preventing misjudgments caused by data jitter.

Description

Technical Field

[0001] This invention relates to a distribution network data integration method, and more particularly to a method and system for integrating multi-source heterogeneous distribution network operation data. Background Technology

[0002] Currently, the distribution network is driving the deepening evolution of multi-source business integration. Management functions such as defect management, hidden danger management, and power outage information management are evolving towards micro-applications based on PMS3.0. Power supply service command and distribution automation are both based on the business middleware platform, undergoing architectural evolution and functional upgrades. Regarding the digital transformation of distribution business, a digital system framework of "two systems and one platform" supporting distribution professional management has been constructed, achieving initial results in supporting basic business operations such as standardized construction, lean operation and maintenance, and intelligent control of the distribution network. Whether the digital transformation of distribution network business can be further deepened depends on whether basic business data can be collected in a timely, effective, and complete manner. Currently, data collection still faces the following problems:

[0003] 1. Lack of unified data integration coding standards: Multi-source heterogeneous systems cannot upload distribution network operation data according to unified coding standards, and the target system cannot adapt to the data assembled by various heterogeneous systems.

[0004] 2. The data collection completeness rate of distribution network operation is not high. The distribution network operation data uploaded by each source system is incomplete and there are data missing issues.

[0005] 3. The timely collection rate of distribution network operation data is not high. The distribution network operation data assembled and sent by each source system is not assembled and sent in a timely manner, and there are cases where distribution network operation data cannot be sent in a timely manner within the specified time.

[0006] 4. The efficiency of data collection for distribution network operation is not high. When the distribution network operation data is assembled and sent by each source system, a large amount of invalid data or jittery data is sent, which cannot be parsed normally by the source system. Summary of the Invention

[0007] Purpose of the invention: To address the above problems, this invention proposes a method and system for integrating multi-source heterogeneous distribution network operation data. This enables the multi-source heterogeneous distribution network automation system to assemble and transmit distribution network operation data according to standard specifications, and the target system to parse the distribution network operation data according to unified specifications, while preventing misjudgments caused by data jitter.

[0008] Technical Solution: The technical solution adopted in this invention is a method for integrating multi-source heterogeneous distribution network operation data, including: classifying distribution network operation data into real-time distribution network operation data, distribution network operation event data, and distribution network operation section data, and encapsulating, transmitting, and parsing the data according to the distribution network operation data interaction protocol corresponding to each data type; the distribution network operation data interaction protocol is a communication protocol formulated in accordance with the distribution network operation data integration standard, which includes a unified measurement dictionary table and a device dictionary table, uniformly naming and numbering various measurement devices and measurement types involved in distribution network operation; the encapsulation of distribution network operation data includes:

[0009] (1) The source system periodically assembles the source system's unified number, the total number of cross-sectional measurement items, the time of assembly, and the array of all measurement items. Each measurement item includes the globally unique resource ID of the device to which the measurement item belongs, the unified code of the device type to which the measurement item belongs, the unified code of the measurement item type, the current value of the measurement item, and the quality code of the measurement item value.

[0010] (2) When the telemetry change in the source system exceeds the specified threshold, the source system unified number, the time of this assembly, and the changed telemetry measurement items are assembled into data. The changed telemetry measurement items include the globally unique resource ID of the device to which the measurement item belongs, the unified code of the device type to which the measurement item belongs, the unified code of the measurement item type, the current value of the measurement item, and the quality code of the measurement item value.

[0011] (3) When a remote signaling change occurs in the source system, the source system's unified number, the time of this assembly, and the changed remote signaling measurement items are assembled into data. The changed remote signaling measurement items include the globally unique resource ID of the device to which the measurement item belongs, the unified code of the device type to which the measurement item belongs, the unified code of the measurement item type, the current value of the measurement item, and the quality code of the measurement item value.

[0012] (4) When a fault event occurs in the source system, the source system unified number, the time of this assembly, and the fault event business data are assembled. The fault event business data includes the fault occurrence time, the global resource ID of the substation bus associated with the fault, the global resource ID of the trip switch, the unified code of the fault type, the fault interval data, the fault description, the fault area details, and the fault isolation operation details.

[0013] (5) When an abnormal operation event occurs in the source system, the source system unified number, the time of this assembly, and the abnormal operation event business data are assembled. The abnormal operation event business data includes the time of the abnormality, the global resource ID of the distribution network equipment associated with the abnormality, the unified code of the abnormality type, and the abnormality description.

[0014] When the target system receives changed remote signaling data transmitted from the source system, if it determines that remote signaling jitter has occurred, it takes measures to filter the remote signaling jitter data, including the following steps:

[0015] (1) For the same switch, excluding reclosing and data transmission time periods, a time window is set. If the total number of opening and closing of the same switch within the time window is greater than the threshold, it is determined that the switch has experienced remote signal jitter.

[0016] (2) When a switch is determined to have experienced remote signal jitter, the switch is marked with a jitter mark, and all subsequent remote signal change data sent by the switch are determined to be invalid data.

[0017] (3) If the switch no longer sends remote signaling change data within N consecutive time windows after the switch is marked with a jitter mark, then the jitter mark of the switch is removed.

[0018] The real-time operation data of the distribution network includes real-time changing telemetry data and real-time changing teleindication data. The real-time changing telemetry data includes the A-phase current, A-phase voltage, and active power of distribution network equipment such as distribution network switches, distribution network loads, distribution network transformers, distribution network disconnectors, distribution network grounding disconnectors, and distribution network busbars. The real-time changing teleindication data includes switch position changes, A-phase phase loss, undervoltage, and overvoltage.

[0019] The data on distribution network operation events includes distribution network operation fault events and operation abnormal events. Operation fault events include fault tripping events and distribution transformer power outage and restoration events. Operation abnormal events include distribution network line operation overload, distribution network area operation overload, distribution network area three-phase imbalance, and distribution network area operation low voltage.

[0020] The distribution network operation section data includes periodic telemetry data and periodic tele-signaling data. The periodic telemetry data includes distribution network switches, distribution network loads, distribution network transformers, distribution network disconnectors, and distribution network grounding disconnectors. The periodic tele-signaling data includes distribution network switches, distribution network disconnectors, and distribution network grounding disconnectors.

[0021] The assembled network operation data is transmitted via Kafka and Alibaba Cloud DataHub message bus.

[0022] The fault area details include all distribution network equipment in the fault area, and the fault isolation operation details include a list of switch operations for fault area isolation.

[0023] The present invention provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the multi-source heterogeneous distribution network operation data integration method.

[0024] The present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the multi-source heterogeneous distribution network operation data integration method described above.

[0025] Accordingly, this invention provides a multi-source heterogeneous distribution network operation data integration system, including a distribution network operation data sender and a distribution network operation data receiver. The distribution network operation data sender refers to a system capable of generating distribution network operation data, including a distribution automation master station conforming to distribution automation functional specifications. The distribution network operation data sender is equipped with a data assembly device for encapsulating distribution network operation section data, real-time distribution network operation data, and distribution network event data according to a distribution network operation data interaction protocol, and transmitting them to the data receiver. The distribution network operation data receiver includes a real-time power grid measurement center or a distribution automation master station system. The distribution network operation data receiver is equipped with a data receiving and parsing device for receiving distribution network operation section data, real-time distribution network operation data, and distribution network event data, and parsing and storing the data according to the distribution network operation data interaction protocol. The distribution network operation data interaction protocol and the encapsulation of distribution network operation data are as described in the multi-source heterogeneous distribution network operation data integration method.

[0026] Beneficial effects: Compared with the prior art, the present invention has the following advantages: This method can standardize the integration of distribution network data of multi-source heterogeneous systems and reduce the waste of manpower and time costs; secondly, it performs anti-remote signal jitter operation on the data parsing of multi-source heterogeneous systems. Due to the addition of the verification step, it avoids misjudgment by the users of distribution network operation data due to data jitter. Attached Figure Description

[0027] Figure 1 This is a flowchart of the multi-source heterogeneous distribution network operation data integration method described in this invention;

[0028] Figure 2 This is a typical distribution network measurement type distribution diagram;

[0029] Figure 3 This is a schematic diagram of the data transmission process in the distribution network operation as described in this invention. Detailed Implementation

[0030] The technical solution of the present invention will be further described below with reference to the accompanying drawings and embodiments.

[0031] The flowchart of the multi-source heterogeneous distribution network operation data integration method described in this invention is as follows: Figure 1 As shown, it includes the following steps:

[0032] Step 1: Create a measurement type dictionary

[0033] Combination Figure 2 Table 1 illustrates the creation of the measurement type dictionary:

[0034] like Figure 2 As shown, this table describes the typical distribution network measurement type distribution, illustrating the measurement types involved in the power supply path from the substation main transformer to low-voltage users, including electrical quantities, environmental quantities, parameter quantities, and control quantities. Table 1 is based on... Figure 2 Measurement type planning was conducted, resulting in M ​​measurement type ranges, including telemetry, remote signaling, parameter, control, and custom extended types. Table 2 shows a portion of the actual measurement type dictionary table designed according to the measurement dictionary table.

[0035] Table 1. Measurement dictionary design

[0036]

[0037] Table 2 Measurement Dictionary (Partial)

[0038] 1 1000 PhV_phsA Phase A voltage 2 1002 PhV_phsB Phase B voltage 3 1004 PhV_phsC C-phase voltage 4 15000 rm_i_protect Residual current protection 5 15002 sc_delay_protect Short circuit delay protection 6 15004 sc_moment_protect Short circuit instantaneous protection 7 25000 nodePhase Phase information 8 25002 nodeAddr From node address 9 30000 ccoWorkType Work mode 10 40000 h2s_content hydrogen sulfide content

[0039] Step 2: Create a Uniform Device Code

[0040] The unified equipment coding is explained in conjunction with Table 3:

[0041] The power grid equipment involved in the data integration process for distribution network operation is categorized into main grid equipment, distribution network equipment, and low-voltage equipment. Main grid equipment primarily refers to equipment within substations of 35kV and above, including busbars, circuit breakers, and disconnectors. Distribution network equipment mainly consists of 10kV or 20kV distribution network equipment, including distribution network switches, distribution network busbars, distribution network transformers, and distribution network secondary terminals. Low-voltage equipment mainly comprises low-voltage distribution area equipment, including low-voltage busbars, low-voltage switches, and low-voltage customers. A unified coding system is used for these equipment types to standardize the transmission and parsing of equipment types during data exchange.

[0042] Table 3 Equipment Uniform Code

[0043]

[0044]

[0045] Step 3: Create a data transmission protocol

[0046] The creation of data transmission protocols is explained in conjunction with Tables 4, 5, and 6:

[0047] Before integrating distribution network operation data, it is necessary to create a data transmission protocol agreed upon by the sender and receiver. The protocol includes the protocol name, the purpose of the protocol, the fields contained in the protocol, the English name, Chinese name, data type, whether it is required, and the meaning of each field.

[0048] Table 4 Data Transmission Protocol for Distribution Network Operation Sections

[0049]

[0050] Appendix: Analog object definition

[0051] 1 Telemetry type measurementType enumerate must The name in Table 1 2 Telemetry values value String must 3 Quality Code qualValue Enumeration value must

[0052] Table 5 Real-time Data Transmission Protocol for Distribution Network Operation

[0053]

[0054] Table 6 Data Transmission Protocols for Distribution Network Events

[0055]

[0056]

[0057] Appendix: Definition of the faulty device defaultDevice object:

[0058] 1 Device ID mRId String must Device's globally unique resource ID 2 Equipment type equipType String must The codes in Table 3 3 logo area_flag enumerate must

[0059] Step 4: Data transmission during distribution network operation

[0060] Combination Figure 3 The data transmission process during distribution network operation is explained below:

[0061] The data sender system prepares distribution network operation data according to the protocol, including distribution network operation section data, distribution network real-time operation data, and distribution network event data. The data is encapsulated according to the protocol and transmitted through a general message bus. The data receiver receives the distribution network operation data from the general message bus and parses and stores the data according to the protocol.

[0062] Step 5: Analysis of Distribution Network Operation Data

[0063] After receiving distribution network operation data from the general message bus, the data receiver performs data parsing according to the protocol, implementing anti-duplication and anti-jitter measures. Due to external environmental vibrations, the remote signaling measurement devices in the distribution network operation may experience poor contact, repeatedly sending remote signaling closing and opening signals, causing difficulties for application systems monitoring the real-time operation status of the distribution network and diagnosing faults. Both the sender and receiver should take measures to suppress remote signaling jitter. This invention provides a feasible method for determining remote signaling jitter, described below:

[0064] (1) For any distribution network switch, to prevent remote signal jitter, continuous changes caused by automatic reclosing should be avoided. This situation is considered normal continuous remote signal changes. When a transient fault occurs on the transmission line, the switch trips due to the fault, and the automatic reclosing device automatically closes the switch. If it is a permanent fault, the switch recloses to the permanently faulty line, the switch trips again, and the reclosing device no longer operates. In this case, the entire process generally takes less than 5 seconds.

[0065] (2) For the same switch, considering reclosing and data transmission, a 10-second time window is set. The total number of times the same switch is opened and closed within 10 seconds should not exceed 4. Otherwise, the switch is judged to have remote signal jitter.

[0066] (3) When a switch is determined to have experienced remote signal jitter, the switch is marked with a jitter mark, and all subsequent remote signal change data sent by the switch are determined to be invalid data.

[0067] (4) If the switch stops sending remote signal changes within three consecutive time windows after the switch is marked with a jitter mark, the jitter mark on the switch shall be removed.

[0068] (5) Repeat (2)(3)(4).

[0069] Step 6: Data storage during distribution network operation

[0070] After parsing the distribution network operation data, the receiving party stores the data in relational databases and NoSQL databases, including but not limited to Redis and ElasticSearch.

[0071] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-described method for integrating multi-source heterogeneous distribution network operation data.

[0072] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the above-described method for integrating multi-source heterogeneous distribution network operation data.

[0073] In one embodiment, this invention provides a multi-source heterogeneous distribution network operation data integration system, including a distribution network operation data sender and a distribution network operation data receiver. The distribution network operation data sender refers to a system capable of generating distribution network operation data, primarily a distribution automation master station conforming to distribution automation functional specifications. The distribution network operation data sender also includes a data assembly device. The distribution network operation data receiver refers to a business system, such as a real-time power grid measurement center or a distribution automation master station system, which needs all distribution network operation data within its jurisdiction due to system business development requirements. The distribution network operation data receiver includes a data receiving and parsing device. The data assembly device encapsulates distribution network operation section data, real-time distribution network operation data, and distribution network event data according to a protocol and transmits them through a general message bus. The data receiver receives the distribution network operation data from the general message bus and parses and stores the data according to the protocol.

[0074] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0075] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0076] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0077] These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable apparatus for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

Claims

1. A method for integrating multi-source heterogeneous distribution network operation data, characterized in that, include: Distribution network operation data is classified into real-time distribution network operation data, distribution network operation event data, and distribution network operation section data. Data is encapsulated, transmitted, and parsed according to the distribution network operation data interaction protocol corresponding to each data type. The distribution network operation data interaction protocol is a communication protocol formulated in accordance with the distribution network operation data integration standard. The distribution network operation data integration standard includes a unified measurement dictionary table and a device dictionary table, which uniformly names and numbers the various measurement devices and measurement types involved in distribution network operation. The encapsulation of distribution network operation data includes: (1) The source system periodically assembles the source system's unified number, the total number of cross-sectional measurement items, the time of assembly, and the array of all measurement items. Each measurement item includes the globally unique resource ID of the device to which the measurement item belongs, the unified code of the device type to which the measurement item belongs, the unified code of the measurement item type, the current value of the measurement item, and the quality code of the measurement item value. (2) When the telemetry change in the source system exceeds the specified threshold, the source system unified number, the time of this assembly, and the changed telemetry measurement items are assembled into data. The changed telemetry measurement items include the globally unique resource ID of the device to which the measurement item belongs, the unified code of the device type to which the measurement item belongs, the unified code of the measurement item type, the current value of the measurement item, and the quality code of the measurement item value. (3) When a remote signaling change occurs in the source system, the source system's unified number, the time of this assembly, and the changed remote signaling measurement items are assembled into data. The changed remote signaling measurement items include the globally unique resource ID of the device to which the measurement item belongs, the unified code of the device type to which the measurement item belongs, the unified code of the measurement item type, the current value of the measurement item, and the quality code of the measurement item value. (4) When a fault event occurs in the source system, the source system unified number, the time of this assembly, and the fault event business data are assembled. The fault event business data includes the fault occurrence time, the global resource ID of the substation bus associated with the fault, the global resource ID of the trip switch, the unified code of the fault type, the fault interval data, the fault description, the fault area details, and the fault isolation operation details. (5) When an abnormal operation event occurs in the source system, the source system unified number, the time of this assembly, and the abnormal operation event business data are assembled. The abnormal operation event business data includes the time of the abnormality, the global resource ID of the distribution network equipment associated with the abnormality, the unified code of the abnormality type, and the abnormality description.

2. The method for integrating multi-source heterogeneous distribution network operation data according to claim 1, characterized in that: When the target system receives changed remote signaling data transmitted from the source system, if it determines that remote signaling jitter has occurred, it takes measures to filter the remote signaling jitter data, including the following steps: (1) For the same switch, excluding reclosing and data transmission time periods, a time window is set. If the total number of opening and closing of the same switch within the time window is greater than the threshold, it is determined that the switch has experienced remote signal jitter. (2) When a switch is determined to have experienced remote signal jitter, the switch is marked with a jitter mark, and all subsequent remote signal change data sent by the switch are determined to be invalid data. (3) If the switch no longer sends remote signaling change data within N consecutive time windows after the switch is marked with a jitter mark, then the jitter mark of the switch is removed.

3. The method for integrating multi-source heterogeneous distribution network operation data according to claim 1, characterized in that: The real-time operation data of the distribution network includes real-time changing telemetry data and real-time changing teleindication data. The real-time changing telemetry data includes the A-phase current, A-phase voltage, and active power of distribution network equipment such as distribution network switches, distribution network loads, distribution network transformers, distribution network disconnectors, distribution network grounding disconnectors, and distribution network busbars. The real-time changing teleindication data includes switch position changes, A-phase phase loss, undervoltage, and overvoltage.

4. The method for integrating multi-source heterogeneous distribution network operation data according to claim 1, characterized in that: The data on distribution network operation events includes distribution network operation fault events and operation abnormal events. Operation fault events include fault tripping events and distribution transformer power outage and restoration events. Operation abnormal events include distribution network line operation overload, distribution network area operation overload, distribution network area three-phase imbalance, and distribution network area operation low voltage.

5. The method for integrating multi-source heterogeneous distribution network operation data according to claim 1, characterized in that: The distribution network operation section data includes periodic telemetry data and periodic tele-signaling data. The periodic telemetry data includes distribution network switches, distribution network loads, distribution network transformers, distribution network disconnectors, and distribution network grounding disconnectors. The periodic tele-signaling data includes distribution network switches, distribution network disconnectors, and distribution network grounding disconnectors.

6. The method for integrating multi-source heterogeneous distribution network operation data according to claim 1, characterized in that: The assembled network operation data is transmitted via Kafka and Alibaba Cloud DataHub message bus.

7. The method for integrating multi-source heterogeneous distribution network operation data according to claim 1, characterized in that: The fault area details include all distribution network equipment in the fault area, and the fault isolation operation details include a list of switch operations for fault area isolation.

8. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the multi-source heterogeneous distribution network operation data integration method according to any one of claims 1 to 7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the multi-source heterogeneous distribution network operation data integration method according to any one of claims 1 to 7.

10. A multi-source heterogeneous distribution network operation data integration system, characterized in that: This includes a distribution network operation data sender and a distribution network operation data receiver. The distribution network operation data sender refers to a system capable of generating distribution network operation data, including a distribution automation master station that conforms to the distribution automation functional specifications. The distribution network operation data sender is equipped with a data assembly device for encapsulating distribution network operation section data, real-time distribution network operation data, and distribution network event data according to the distribution network operation data interaction protocol, and transmitting them to the data receiver. The distribution network operation data receiver includes a power grid real-time measurement center or a distribution automation master station system. The distribution network operation data receiver is equipped with a data receiving and parsing device for receiving distribution network operation section data, real-time distribution network operation data, and distribution network event data, and parsing and storing the data according to the distribution network operation data interaction protocol. The data interaction protocol for distribution network operation includes a unified measurement dictionary and a device dictionary, which uniformly names and numbers the various measurement devices and measurement types involved in distribution network operation. The encapsulation of distribution network operation data includes: (1) The source system periodically assembles the source system's unified number, the total number of cross-sectional measurement items, the time of assembly, and the array of all measurement items. Each measurement item includes the globally unique resource ID of the device to which the measurement item belongs, the unified code of the device type to which the measurement item belongs, the unified code of the measurement item type, the current value of the measurement item, and the quality code of the measurement item value. (2) When the telemetry change in the source system exceeds the specified threshold, the source system unified number, the time of this assembly, and the changed telemetry measurement items are assembled into data. The changed telemetry measurement items include the globally unique resource ID of the device to which the measurement item belongs, the unified code of the device type to which the measurement item belongs, the unified code of the measurement item type, the current value of the measurement item, and the quality code of the measurement item value. (3) When a remote signaling change occurs in the source system, the source system's unified number, the time of this assembly, and the changed remote signaling measurement items are assembled into data. The changed remote signaling measurement items include the globally unique resource ID of the device to which the measurement item belongs, the unified code of the device type to which the measurement item belongs, the unified code of the measurement item type, the current value of the measurement item, and the quality code of the measurement item value. (4) When a fault event occurs in the source system, the source system unified number, the time of this assembly, and the fault event business data are assembled. The fault event business data includes the fault occurrence time, the global resource ID of the substation bus associated with the fault, the global resource ID of the trip switch, the unified code of the fault type, the fault interval data, the fault description, the fault area details, and the fault isolation operation details. (5) When an abnormal operation event occurs in the source system, the source system unified number, the time of this assembly, and the abnormal operation event business data are assembled. The abnormal operation event business data includes the time of the abnormality, the global resource ID of the distribution network equipment associated with the abnormality, the unified code of the abnormality type, and the abnormality description.

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