A resource configuration identification and storage design method and system for redundant measurement and control devices
By building static and dynamic databases in redundant measurement and control devices and managing virtual measurement and control units, the problems of low configuration efficiency and low reliability of redundant measurement and control devices in substations are solved, and flexible resource allocation and efficient interval management are achieved.
Patent Information
- Application Number
- CN202111282467.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2021-11-01
- Publication Date
- 2025-08-19
- Estimated Expiration
- 2041-11-01
AI Technical Summary
In the prior art, the redundant measurement and control device has low configuration efficiency and low reliability in the substation, making it difficult to flexibly manage and integrate multiple electrical interval measurement and control functions, especially when the substation is renovated and expanded, there is a problem of low configuration efficiency.
By matching the virtual measurement and control CPU in the redundant measurement and control device, defining resource configuration folders, building static and dynamic databases, combining real-time data collection, the management, display, switching and expansion of the virtual measurement and control unit is realized, and changes, upgrades or new additions to the intervals of the physical measurement and control device are supported.
It improves the reliability and ease of use of redundant measurement and control devices, reduces interval configuration time, improves the efficiency of expansion intervals, reduces costs, and enhances the competitiveness of redundant measurement and control products.
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Figure CN114142603B_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of power system measurement and control, and relates to a resource configuration identification and warehousing design method and system for a redundant measurement and control device. Background Art
[0002] With the development of the national economy, the centralized monitoring operation mode has put forward higher requirements on the reliability of the intelligent substation monitoring system. Redundant backup measurement and control devices (referred to as redundant measurement and control) have become a necessary configuration for the stable power supply of substations.
[0003] As a centralized backup device for physical measurement and control devices, redundant measurement and control integrates the measurement and control functions of multiple electrical bays, and provides emergency backup services for several substation measurement and control devices configured according to bays.
[0004] In actual application, due to the differences in voltage levels and the number of interval types in substations, the specific implementation of redundant measurement and control in each substation is somewhat difficult. In particular, when the intervals of the physical measurement and control devices are modified and expanded, the corresponding redundant measurement and control devices have defects such as low configuration efficiency and low reliability.
[0005] If the measurement and control functions of multiple electrical bays can be managed and integrated flexibly, reliably and efficiently, and a fast and effective solution can be provided for the access of new measurement and control devices in subsequent substation renovations and expansions, the cost of redundant measurement and control devices can be effectively controlled, greatly improving the competitiveness of redundant measurement and control products. Summary of the Invention
[0006] In order to address the deficiencies in the prior art, the present application provides a resource configuration identification and warehousing design method and system for redundant measurement and control devices. After the redundant measurement and control device obtains the physical measurement and control information of the substation, it establishes static and dynamic databases and internal management messages of the main body measurement and control and the corresponding virtual measurement and control units according to hardware conditions and specific rules, so that the device can conveniently, reliably and efficiently manage, display, switch, expand and transfer out the virtual measurement and control, thereby improving the reliability and usability of the redundant measurement and control device, reducing the interval configuration time, improving the expansion interval efficiency, and increasing economic benefits.
[0007] In order to achieve the above objectives, the present invention adopts the following technical solutions:
[0008] A resource configuration identification and warehousing design method for redundant measurement and control devices, characterized by:
[0009] The method comprises the following steps:
[0010] Step 1: Configure the hardware system of the redundant measurement and control device according to the model and number of the physical measurement and control devices in the substation, and determine the slot location of the redundant measurement and control board;
[0011] Step 2: Define the resource configuration folder according to the slot location of the virtual measurement and control CPU;
[0012] Step 3: Construct mapping rules to convert resource configuration folders into a static database of device resource configuration;
[0013] Step 4: Import the static database of equipment resource configuration into the redundant measurement and control device;
[0014] Step 5: Each virtual measurement and control CPU in the redundant measurement and control device generates an identifiable address based on its slot position, binds the virtual measurement and control unit corresponding to the resource configuration, collects measurement and control data in real time, and forms a real-time dynamic database;
[0015] Step 6: The redundant measurement and control device is powered on to load the static database of equipment resource configuration, and the virtual measurement and control unit is managed, displayed, switched, expanded and transferred out in combination with the real-time dynamic database, so as to realize the identification and storage of the corresponding redundant measurement and control resources when the substation changes, upgrades or adds the physical measurement and control device interval.
[0016] The present invention further includes the following preferred embodiments:
[0017] Preferably, the redundant measurement and control device includes a power supply plug-in, a MASTER plug-in, an MMI, a DIO plug-in and a plurality of virtual measurement and control CPU plug-ins;
[0018] The power plug-in is used to supply power to the redundant measurement and control device; the MMI is the redundant measurement and control device LCD, used for human-computer interaction; the MASTER plug-in is responsible for MMS communication; the DIO plug-in is responsible for collecting the status of the hard-input node;
[0019] Each virtual measurement and control CPU plug-in board consists of dual-core dual chips and is used to run the virtual measurement and control unit.
[0020] Preferably, in step 2, a corresponding resource configuration folder is defined according to the slot position of the virtual measurement and control CPU, and the corresponding resource configuration file CPU_SDC and model file CID are placed in the folder. At the same time, the body measurement and control file BCU_SDC and the management configuration information file MASTER_SDC are defined;
[0021] The virtual measurement and control resource configuration file CPU_SDC, the main measurement and control BCU_SDC and the management configuration information file MASTER_SDC are stored in the redundant measurement and control device in the form of XML files. Before the redundant measurement and control device is put into operation, it is automatically loaded in the form of files through the SDC2DB module.
[0022] Preferably, in step 2, if the resource configuration file path in the defined resource configuration file contains subfolders named 1 to n, it means that the current redundant measurement and control supports n virtual measurement and control units to be stored, and n≤15;
[0023] Among them, the subfolder names 1 to n correspond to the virtual measurement and control unit serial numbers, and the subfolder contents include: SDC file, words file, LCD file, and model file CID of the virtual measurement and control CPU.
[0024] Preferably, in step 3, the conversion rules are defined in the form of an XML file, and the conversion rules are used to define the resource source and support specifications of the generated database, including SDC file path configuration rules and support specification configuration rules.
[0025] Preferably, the real-time dynamic database in step 5 includes operating status, fault alarm signals, communication conditions, soft pressure plate status, analog information, statistical information, parameters and version data;
[0026] The operating status, fault alarm signal, communication working condition, soft pressure plate status, and analog quantity information are collected by each virtual measurement and control CPU and sent to the MASTER plug-in through internal messages at regular intervals or by changing positions;
[0027] The statistical information is collected by the main body measurement and control CPU;
[0028] The version and parameters are obtained by calling the redundant measurement and control management module.
[0029] Preferably, in step 6, when the redundant measurement and control device is applied to the substation, whether the physical measurement and control device is online is determined by detecting the GOOSE message sending status of the process layer and the station control layer of the physical measurement and control device;
[0030] If the physical measurement and control device is online, the redundant measurement and control device blocks the corresponding virtual measurement and control unit from being put into operation, and the virtual measurement and control unit that has been put into operation automatically exits;
[0031] If the physical measurement and control device is not running online, the virtual measurement and control unit is put into operation and collects the process layer information of the physical measurement and control device and displays it on the LCD screen according to the interval of the physical measurement and control device;
[0032] When the physical measurement and control device is changed or upgraded, the redundant measurement and control device uses the CRC code of CPU_SDC as the criterion for starting the upgrade process to identify and store the corresponding redundant measurement and control resources;
[0033] When a physical measurement and control device is added at intervals, the redundant measurement and control device re-imports the static database originally stored in the warehouse for differential identification, and only adds the newly added virtual measurement and control units without affecting the existing virtual measurement and control units.
[0034] Preferably, when the physical measurement and control device is not running online, the station control layer and process layer message sending of the physical measurement and control device is in a silent state, no data is uploaded, no GOOSE messages are sent to the outside, and no station control layer control operations are received. The main body measurement and control notifies the virtual measurement and control CPU through internal messages whether the message sending is in a silent state, so as to control the redundant measurement and control device to refresh the virtual measurement and control unit's entry and exit status display interface through the LCD and control the communication between the virtual measurement and control unit and the background and monitoring.
[0035] Preferably, when the physical measurement and control device is changed or upgraded at intervals, it is determined whether the CRC code of the CPU_SDC file to be upgraded is consistent with the CRC code of the CPU_SDC file stored in the current project;
[0036] If they are inconsistent, the global variable indicating whether the SDC needs to be upgraded is set to 1, and the relevant files and data are stored in the database;
[0037] Otherwise, the global variable indicating whether SDC needs to be upgraded is set to 0 and the program exits directly without storing related files and data.
[0038] The present invention also discloses a resource configuration identification and warehousing design system for redundant measurement and control devices, the system comprising:
[0039] Redundant measurement and control matching module, used to configure the hardware system of redundant measurement and control devices according to the model and number of physical measurement and control devices in the substation and determine the slot location of redundant measurement and control boards;
[0040] The resource configuration folder definition module is used to define the resource configuration folder according to the slot position of the virtual measurement and control CPU;
[0041] Static database generation module, used to build mapping rules and convert resource configuration folders into device resource configuration static database format;
[0042] Static database import module, used to import the static database of equipment resource configuration into the redundant measurement and control device;
[0043] The dynamic database generation module is used to generate identifiable addresses for each virtual measurement and control CPU in the redundant measurement and control device through the slot position, bind the virtual measurement and control unit corresponding to the resource configuration, collect measurement and control data in real time, and form a real-time dynamic database;
[0044] The redundant measurement and control resource identification and storage module is used to load the static database of equipment resource configuration when the redundant measurement and control device is powered on, and manage, display, switch, expand and transfer out the virtual measurement and control unit in combination with the real-time dynamic database, so as to realize the identification and storage of corresponding redundant measurement and control resources when the substation changes, upgrades or adds the physical measurement and control device interval.
[0045] Beneficial effects achieved by this application:
[0046] The present invention provides flexible and reliable management and integration of measurement and control functions for multiple electrical bays. Based on an embedded database, it matches corresponding virtual measurement and control CPUs within redundant measurement and control systems according to the measurement and control device models within the substation, as provided by the engineering or design. Resource configuration folders are defined based on the slot positions of the virtual measurement and control CPUs within the chassis, and specific mapping rules are used to convert these into a static database of device resource configurations. After importing these into the redundant measurement and control devices, each virtual measurement and control CPU generates a recognizable address based on its slot position, binding the virtual measurement and control units corresponding to the resource configurations to form a real-time dynamic database. When the redundant measurement and control devices are powered on, the static database of device resource configurations can be directly loaded, effectively improving the power-on display speed. Combined with the real-time dynamic database, the virtual measurement and control units can be conveniently managed, displayed, switched, expanded, and switched out.
[0047] Furthermore, the static database of equipment resource configuration of the present invention supports device uploading, downloading, online viewing, upgrading and differential loading of new virtual measurement and control units. The addition and deletion of virtual measurement and control will not affect the previous configuration and data, reducing the impact of new project intervals on redundant devices, and improving the reliability and usability of the device. BRIEF DESCRIPTION OF THE DRAWINGS
[0048] Figure 1 It is a flow chart of the method of the present invention;
[0049] Figure 2 This is the internal architecture diagram of the redundant measurement and control device;
[0050] Figure 3 This is an example of redundant measurement and control resource configuration folder settings and some rule file contents;
[0051] Figure 4 It is a diagram of redundant measurement and control static database and dynamic database storage system;
[0052] Figure 5 This is the SDC upgrade flow chart. DETAILED DESCRIPTION
[0053] The present application will be further described below in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solutions of the present invention and are not intended to limit the scope of protection of the present application.
[0054] like Figure 1 As shown, a resource configuration identification and warehousing design method for a redundant measurement and control device of the present invention includes the following steps:
[0055] Step 1: Configure the hardware system of the redundant measurement and control device according to the model and number of the physical measurement and control devices in the substation, determine the slot positions of the redundant measurement and control boards, and match the corresponding virtual measurement and control CPUs.
[0056] The model and number of physical measurement and control devices in a substation are used to plan and design redundant measurement and control hardware configurations and resource distribution in advance. For example, when redundant measurement and control is used in the 220kV Linhai substation in Zhejiang Province, the replacement physical measurement and control mapping table is detailed in Table 1. As shown in Table 1, two redundant measurement and control devices are configured based on the model and number of physical measurement and control devices in the substation. Redundant measurement and control 1 maps to nine physical measurement and control devices. Plug-ins 7 and 9 each have one virtual measurement and control device, and Plug-in 15 has three virtual measurement and control devices available for future substation expansion and renovation. Redundant measurement and control 2 maps to 15 physical measurement and control devices and is already fully loaded, making expansion impossible.
[0057] Table 1 Linhai Substation Redundant Measurement and Control Mapping Table
[0058]
[0059]
[0060] Figure 1 This is the internal architecture diagram of the redundant measurement and control device. Figure 1 ,From the hardware perspective, the redundant measurement and control ,device includes a power plug-in, a MASTER plug-in, an MMI, a DIO plug-in, and multiple virtual ,measurement and control CPU plug-ins;
[0061] Furthermore, the power plug-in provides power for the redundant measurement and control device; the MMI is the redundant measurement and control device LCD, used for human-computer interaction; the MASTER plug-in is responsible for managing the main body measurement and control, each virtual measurement and control unit, GOOSE board, SV board and communicating with the station control layer through MMS; the DIO plug-in is responsible for collecting the status of the hard-in node;
[0062] Each virtual measurement and control CPU plug-in board consists of dual cores and dual chips, and can run three virtual measurement and control units; for details, see Figure 2 Internal architecture of the measurement and control device.
[0063] Currently, the redundant measurement and control chassis supports up to 5 CPU plug-ins, that is, 15 virtual measurement and control units running simultaneously. The CPU plug-ins can be reasonably configured according to the model and number of physical measurement and control devices in the substation to save costs and improve economic benefits.
[0064] There are four buses connecting the plug-ins, namely the electrical bus, internal communication bus, timing bus and trip bus. The real-time data of the main body measurement and control and virtual measurement and control units are exchanged between the plug-ins through the internal bus.
[0065] Furthermore, from the perspective of software modules, the redundant measurement and control device has a liquid crystal display interface, a management module, an SDC2DB module, and the like.
[0066] Step 2: Define the resource configuration folder according to the slot location of the virtual measurement and control CPU;
[0067] During the specific implementation, define the corresponding resource configuration folder according to the slot position of the virtual measurement and control CPU, and place the corresponding resource configuration file CPU_SDC, model file CID, etc. into the folder. At the same time, define the main measurement and control file BCU_SDC and the management configuration information file MASTER_SDC;
[0068] The virtual measurement and control resource configuration file CPU_SDC, the main measurement and control BCU_SDC and the management configuration information file MASTER_SDC are stored in the redundant measurement and control device in the form of XML files and are automatically imported by the SDC2DB module in the form of files before the redundant measurement and control device is put into operation.
[0069] In the defined resource configuration file, if the resource configuration file path contains subfolders named 1 to n, it means that the current application is redundant measurement and control and supports the storage of n virtual measurement and control units, where n is ≤ 15.
[0070] The subfolder names 1 to n correspond to the serial numbers of the virtual measurement and control units in the cluster measurement and control application. The subfolder contents include: the SDC file, words file, LCD file, and model file CID of the virtual measurement and control CPU.
[0071] Step 3: Construct mapping rules to convert resource configuration folders into a static database of device resource configuration;
[0072] Convert CPU_SDC, CID, BCU_SDC, MASTER_SDC, MMI.xml and other files into a static database of configuration resources, and calculate and save the configuration CRC code of each virtual measurement and control unit;
[0073] Further, such as Figure 4 As shown in the figure, the SDC2BD module generates a static database of device resources based on the SDC, words, and related configuration files of the main measurement and control under the redundant measurement and control resource configuration folder, the SDC, words, and related configuration files of the management module, and the rule information provided by the rule file. At the same time, the configuration CRC code of each virtual measurement and control unit is calculated and saved for verification during subsequent upgrades. Among them, the SDC module is the front module of the static database.
[0074] In the specific implementation, the conversion rules are defined in the form of XML files. The conversion rules are used to define the resource source and support specifications of the generated database, including SDC file path configuration rules and support specification configuration rules. The specific content can be found in Figure 3 , folder No. 1 corresponds to virtual measurement and control unit 1, and matches the corresponding virtual measurement and control communication address and slot position in Table 2, and so on.
[0075] Conversion rules are used to define the resource sources and supported protocols for generating databases, as follows:
[0076] 1)SDC file path configuration (config->filepath): Figure 3 As shown in the first box portion of (b), wherein:
[0077] The path identified by the name attribute is the file path on the PC;
[0078] The path identified by the name_dev attribute is the file path on the device.
[0079] 2) Support protocol configuration (config->cpu->protocols->trans_protocol): Figure 3 As shown in the second box in (b), only the CPU index = "0" needs to be configured, and the other CPUs with index ! = 0 are reserved for backup.
[0080] The number of virtual measurement and control CPUs to be stored depends on the file conditions in the SDC file path specified in the configuration file:
[0081] If the configuration file path contains subfolders named 1 to 15, it indicates that the current application is redundant measurement and control and supports the storage of 15 virtual measurement and control units. The subfolder names 1 to 15 correspond to the virtual measurement and control CPU serial numbers in the cluster measurement and control application. Furthermore, the contents include the SDC file of the virtual measurement and control CPU (the Source Data Configuration file is a resource configuration file that represents the corresponding physical measurement and control unit product software model and data relationship, realizing the descriptiveness and accessibility of the device data, including data information (object structure, data mapping relationship), including the general configuration operation definition of object parameters, and allowing the expansion of specialized configuration methods through object types), the words file (entry file, representing the data name in the SDC file), the LCD file (menu configuration file, i.e., MMI.xml), the model file CID (61850 model configuration file), and the CCD file (SV / GOOSE configuration file). The internal communication addresses of the corresponding virtual measurement and control are allocated according to the corresponding mapping relationship in Table 3.
[0082] Table 2 Mapping relationship between the redundant measurement and control device main body measurement and control, virtual measurement and control communication address and hardware slot position
[0083] CPU name address Location Virtual measurement and control number Body measurement and control 80 X5 slot Master plug-in chip 1core1 0 Virtual measurement and control unit 1 81 X7 slot CPU plug-in 1 chip 1 core 1 1 Virtual measurement and control unit 2 82 X7 slot CPU plug-in 1 chip 2 core 0 2 Virtual measurement and control unit 3 83 X7 slot CPU plug-in 1 chip 2 core 1 3 Virtual measurement and control unit 4 84 X9 slot CPU plug-in 2 chips 1 core 1 4 Virtual measurement and control unit 5 85 X9 slot CPU plug-in 2 chips 2core0 5 Virtual measurement and control unit 6 86 X9 slot CPU plug-in 2 chips 2core1 6 Virtual measurement and control unit 7 87 X11 slot CPU plug-in 3 chips 1 core 1 7 Virtual measurement and control unit 8 88 X11 slot CPU plug-in 3 chips 2 core 0 8 Virtual measurement and control unit 9 89 X11 slot CPU plug-in 3 chips 2 core 1 9 Virtual measurement and control unit 10 90 X13 slot CPU plug-in 4 chips 1core1 10 Virtual measurement and control unit 11 91 X13 slot CPU plug-in 4 chips 2core0 11 Virtual measurement and control unit 12 92 X13 slot CPU plug-in 4 chips 2core1 12 Virtual measurement and control unit 13 93 X15 slot CPU plug-in 5 chips 1core1 13 Virtual measurement and control unit 14 94 X15 slot CPU plug-in 5 chips 2core0 14 Virtual measurement and control unit 15 95 X15 slot CPU plug-in 5 chips 2core1 15
[0084] Table 3 Mapping relationship between SV / GOOSE communication address and hardware slot position in redundant measurement and control device
[0085]
[0086]
[0087] Furthermore, the ontology measurement and control SDC, words and related configuration files, MASTER's SDC, words and related configuration files (i.e. the ontology measurement and control file BCU_SDC and the management configuration information file MASTER_SDC defined in step 1) do not need to be processed and can be directly placed in the resource configuration file path.
[0088] Furthermore, BCU_SDC mainly includes hardware-related resources and information such as maintenance input and unlocking input, which are used for device alarms, device fault driving, panel lighting control, virtual measurement and control pressure plate management, interval input and output logic processing, etc.); MASTER_SDC mainly includes information related to device management settings (such as time synchronization mode, protocol settings, board interruption alarms, etc.), which are used to manage the main body measurement and control, various virtual measurement and control units, GOOSE boards, SV boards, control LCD displays, and conduct MMS communications with the station control layer.
[0089] Step 4: Import the static database of equipment resource configuration into the redundant measurement and control device;
[0090] Step 5: Each virtual measurement and control CPU in the redundant measurement and control device generates an identifiable address based on its slot position, binds the virtual measurement and control unit corresponding to the resource configuration, collects measurement and control data in real time, and forms a real-time dynamic database;
[0091] Import the static database of configuration resources into the virtual measurement and control device, and collect real-time data information of each virtual measurement and control CPU through the internal communication network, including the device's operating status, fault alarm signals, communication conditions, soft pressure plate status, analog quantity, version, parameters and other information, to form a real-time dynamic database;
[0092] The operating status, fault alarm signal, communication working condition, soft pressure plate status, analog information (i.e. Figure 4 Internal message management information, these collected information refresh the dynamic library, and at the same time are sent to the management module through internal messages) collected by each virtual measurement and control CPU, and sent to the MASTER plug-in through internal messages at regular intervals or changes;
[0093] Furthermore, the redundant measurement and control management module runs in the MASTER plug-in, and by loading the static database, obtains the static information in the management setting library (the information comes from the MASTER_SDC file), and obtains the corresponding dynamic value setting information and the virtual measurement and control input status transmitted by the main body measurement and control through the MMI interface setting. It can control the LCD to display the relevant information of the current virtual measurement and control, and switch the corresponding virtual measurement and control unit to communicate with the station control layer for MMS.
[0094] Furthermore, the management setting library belongs to the static database, which mainly includes the settings of redundant measurement and control devices such as password / IP address / time synchronization mode / protocol settings / print settings, etc. The information comes from the management configuration information file MASTER_SDC.
[0095] Statistical information is collected by the main body measurement and control CPU;
[0096] The version and parameters are obtained by the redundant measurement and control management module.
[0097] Step 6: The redundant measurement and control device is powered on to load the static database of equipment resource configuration, and the virtual measurement and control unit is managed, displayed, switched, expanded and transferred out in combination with the real-time dynamic database, so as to realize the identification and storage of the corresponding redundant measurement and control resources when the substation changes, upgrades or adds the physical measurement and control device interval.
[0098] Furthermore, in a specific implementation, after the device is powered on, a static database is loaded to obtain static resource information and data attribute information (including measurement quantity, input, switch, parameter, pressure plate, etc.) of the main measurement and control unit and the virtual measurement and control unit, and corresponding status information is collected to form a real-time dynamic database;
[0099] Among them, the main body measurement and control monitors the communication status of the station control layer GOOSE of the actual measurement and control corresponding to the virtual measurement and control of this device as the basis for the virtual measurement and control to be put into operation. When the virtual measurement and control is put into operation, the management module is notified through internal messages to manage the relevant information of the corresponding virtual measurement and control unit (including displaying the relevant information of the put-in-operation virtual measurement and control, taking over the mms communication and GOOSE communication of the physical measurement and control, etc.).
[0100] When redundant measurement and control devices are used in substations, the GOOSE message sending status of the physical measurement and control device at the process layer and station control layer is detected to determine whether the physical measurement and control device is online.
[0101] If the physical measurement and control device is online, the redundant measurement and control device blocks the corresponding virtual measurement and control unit from being put into operation, and the virtual measurement and control unit that has been put into operation automatically exits;
[0102] Furthermore, the locking logic for the virtual measurement and control unit is detailed in Table 4, and the automatic exit logic for the virtual measurement and control unit is detailed in Table 5.
[0103] Table 4 Virtual measurement and control unit input logic table
[0104] Station control layer GOOSE message sending status Process layer GOOSE message sending status Is the virtual measurement and control unit allowed to be put into use? normal normal no normal abnormal no abnormal normal no abnormal abnormal yes
[0105] Table 5 Virtual measurement and control unit exit logic table
[0106]
[0107]
[0108] If the physical measurement and control device is not running online, the virtual measurement and control unit is put into operation and collects the process layer information of the physical measurement and control device and displays it on the LCD screen according to the interval of the physical measurement and control device;
[0109] The redundant measurement and control device LCD interface uses XML files to configure the measurement and control device interval.
[0110] When the physical measurement and control device is not running online, the station control layer and process layer message sending of the physical measurement and control device is in silent state, no data is uploaded, no GOOSE messages are sent to the outside, and no station control layer control operations are received. The main body measurement and control notifies the virtual measurement and control CPU through internal messages whether the message sending is in silent state, so as to control the redundant measurement and control device to refresh the virtual measurement and control unit input and output status display interface through the LCD and control the communication between the virtual measurement and control unit and the background and monitoring.
[0111] That is, after the physical measurement and control is exited, the corresponding virtual measurement and control is put into use. The redundant measurement and control entity controls the LCD display of the corresponding virtual measurement and control unit and the communication between the virtual measurement and control unit and the background and monitoring MMS through internal messages.
[0112] When the physical measurement and control device is changed or upgraded, the redundant measurement and control device uses the CRC code of CPU_SDC as the criterion for starting the upgrade process to identify and store the corresponding redundant measurement and control resources. Specifically:
[0113] When the physical measurement and control device is changed or upgraded, determine whether the CRC code of the CPU_SDC file to be upgraded is consistent with the CRC code of the CPU_SDC file stored in the current project;
[0114] If they are inconsistent, the global variable indicating whether the SDC needs to be upgraded is set to 1, and the relevant files and data are stored in the database;
[0115] Otherwise, the global variable indicating whether SDC needs to be upgraded is set to 0 and the system exits the system directly without storing related files and data. Figure 5 shown.
[0116] When a physical measurement and control device is added at intervals, the redundant measurement and control device re-imports the static database originally stored in the warehouse for differential identification, and only adds the newly added virtual measurement and control units without affecting the existing virtual measurement and control units.
[0117] A resource configuration identification and warehousing design system for redundant measurement and control devices of the present invention comprises:
[0118] Redundant measurement and control matching module, used to configure the hardware system of redundant measurement and control devices according to the model and number of physical measurement and control devices in the substation and determine the slot location of redundant measurement and control boards;
[0119] The resource configuration folder definition module is used to define the resource configuration folder according to the slot position of the virtual measurement and control CPU;
[0120] Static database generation module, used to build mapping rules and convert resource configuration folders into device resource configuration static database format;
[0121] Static database import module, used to import the static database of equipment resource configuration into the redundant measurement and control device;
[0122] The dynamic database generation module is used to generate identifiable addresses for each virtual measurement and control CPU in the redundant measurement and control device through the slot position, bind the virtual measurement and control unit corresponding to the resource configuration, collect measurement and control data in real time, and form a real-time dynamic database;
[0123] The redundant measurement and control resource identification and storage module is used to load the static database of equipment resource configuration when the redundant measurement and control device is powered on, and manage, display, switch, expand and transfer out the virtual measurement and control unit in combination with the real-time dynamic database, so as to realize the identification and storage of corresponding redundant measurement and control resources when the substation changes, upgrades or adds the physical measurement and control device interval.
[0124] The applicant of the present invention has made a detailed explanation and description of the implementation examples of the present invention in conjunction with the drawings in the specification. However, those skilled in the art should understand that the above implementation examples are only preferred implementation plans of the present invention, and the detailed description is only to help readers better understand the spirit of the present invention, and is not a limitation on the scope of protection of the present invention. On the contrary, any improvements or modifications based on the inventive spirit of the present invention should fall within the scope of protection of the present invention.
Claims
1. A resource configuration identification and warehousing design method for redundant measurement and control devices, characterized by: The method comprises the following steps: Step 1: Configure the hardware system of the redundant measurement and control device according to the model and number of the physical measurement and control devices in the substation, and determine the slot location of the redundant measurement and control board; Step 2: Define the resource configuration folder based on the slot location of the virtual measurement and control CPU, including: Define the corresponding resource configuration folder according to the slot position of the virtual measurement and control CPU, and place the corresponding resource configuration file CPU_SDC and model file CID in the folder. At the same time, define the main measurement and control file BCU_SDC and the management configuration information file MASTER_SDC; The virtual measurement and control resource configuration file CPU_SDC, the main measurement and control BCU_SDC, and the management configuration information file MASTER_SDC are stored in the redundant measurement and control device in the form of XML files. Before the redundant measurement and control device is put into operation, it is automatically loaded in the form of files through the SDC2DB module. In the defined resource configuration file, if the resource configuration file path contains subfolders named 1 to n, it means that the current redundant measurement and control supports the storage of n virtual measurement and control units, where n is ≤ 15. Among them, the subfolder names 1 to n correspond to the virtual measurement and control unit serial numbers, and the subfolder contents include: SDC file, words file, LCD file, and model file CID of the virtual measurement and control CPU; Step 3: Construct mapping rules to convert resource configuration folders into a static database of device resource configuration; Step 4: Import the static database of equipment resource configuration into the redundant measurement and control device; Step 5: Each virtual measurement and control CPU in the redundant measurement and control device generates an identifiable address based on its slot position, binds the virtual measurement and control unit corresponding to the resource configuration, collects measurement and control data in real time, and forms a real-time dynamic database; Step 6: After the redundant measurement and control device is powered on, the static database of equipment resource configuration is loaded. Combined with the real-time dynamic database, the virtual measurement and control unit is managed, displayed, switched, expanded, and rolled out. This allows the identification and storage of corresponding redundant measurement and control resources when the substation changes, upgrades, or adds new physical measurement and control device intervals. This includes: When the physical measurement and control device is changed or upgraded, the redundant measurement and control device uses the CRC code of CPU_SDC as the criterion for starting the upgrade process to identify and store the corresponding redundant measurement and control resources; When a new physical measurement and control device is added at intervals, the redundant measurement and control device is re-imported into the static database of the original storage, and differential identification is performed. Only the newly added virtual measurement and control unit is added without affecting the existing virtual measurement and control units. When the physical measurement and control device is not running online, the station control layer and process layer message sending of the physical measurement and control device is in silent state, no data is sent, no GOOSE message is sent externally, and no station control layer control operation is received. The main body measurement and control notifies the virtual measurement and control CPU through internal messages whether the message sending is in silent state, so as to control the redundant measurement and control device to refresh the virtual measurement and control unit input and output status display interface through the LCD and control the communication between the virtual measurement and control unit and the background and monitoring; When the physical measurement and control device is changed or upgraded, determine whether the CRC code of the CPU_SDC file to be upgraded is consistent with the CRC code of the CPU_SDC file stored in the current project; If they are inconsistent, the global variable indicating whether the SDC needs to be upgraded is set to 1, and the relevant files and data are stored in the database; Otherwise, the global variable indicating whether SDC needs to be upgraded is set to 0 and the program exits directly without storing related files and data.
2. The resource configuration identification and warehousing design method for a redundant measurement and control device according to claim 1, characterized in that: The redundant measurement and control device includes a power supply plug-in, a MASTER plug-in, an MMI, a DIO plug-in and multiple virtual measurement and control CPU plug-ins; The power supply plug-in supplies power to the redundant measurement and control device; MMI is a redundant measurement and control device LCD for human-computer interaction; MASTER plug-in is responsible for MMS communication; DIO plug-in is responsible for collecting hard-input node status; Each virtual measurement and control CPU plug-in board consists of dual-core dual chips and is used to run the virtual measurement and control unit.
3. The resource configuration identification and warehousing design method for a redundant measurement and control device according to claim 1, characterized in that: In step 3, the conversion rules are defined in the form of an XML file. The conversion rules are used to define the resource source and support specifications for generating the database, including SDC file path configuration rules and support specification configuration rules.
4. The resource configuration identification and warehousing design method for a redundant measurement and control device according to claim 1, characterized in that: The real-time dynamic database in step 5 includes operating status, fault alarm signals, communication conditions, soft pressure plate status, analog information, statistical information, parameters and version data; The operating status, fault alarm signal, communication working condition, soft pressure plate status, and analog quantity information are collected by each virtual measurement and control CPU and sent to the MASTER plug-in through internal messages at regular intervals or by changing positions; The statistical information is collected by the main body measurement and control CPU; The version and parameters are obtained by calling the redundant measurement and control management module.
5. The resource configuration identification and warehousing design method for a redundant measurement and control device according to claim 1, characterized in that: In step 6, when the redundant measurement and control device is applied to the substation, the physical measurement and control device is judged to be online by detecting the GOOSE message sending status of the process layer and station control layer of the physical measurement and control device; If the physical measurement and control device is online, the redundant measurement and control device blocks the corresponding virtual measurement and control unit from being put into operation, and the virtual measurement and control unit that has been put into operation automatically exits; If the physical measurement and control device is not running online, the virtual measurement and control unit is put into operation to collect process layer information of the physical measurement and control device and display it on the LCD interface according to the physical measurement and control device interval.
6. A system for identifying and designing resource configurations of redundant measurement and control devices that implements the method for identifying and designing resource configurations of redundant measurement and control devices according to any one of claims 1 to 5, characterized in that: The system comprises: Redundant measurement and control matching module, used to configure the hardware system of redundant measurement and control devices according to the model and number of physical measurement and control devices in the substation and determine the slot location of redundant measurement and control boards; The resource configuration folder definition module is used to define the resource configuration folder according to the slot position of the virtual measurement and control CPU; Static database generation module, used to build mapping rules and convert resource configuration folders into device resource configuration static database format; Static database import module, used to import the static database of equipment resource configuration into the redundant measurement and control device; The dynamic database generation module is used to generate identifiable addresses for each virtual measurement and control CPU in the redundant measurement and control device through the slot position, bind the virtual measurement and control unit corresponding to the resource configuration, collect measurement and control data in real time, and form a real-time dynamic database; The redundant measurement and control resource identification and storage module is used to load the static database of equipment resource configuration when the redundant measurement and control device is powered on, and manage, display, switch, expand and transfer out the virtual measurement and control unit in combination with the real-time dynamic database, so as to realize the identification and storage of corresponding redundant measurement and control resources when the substation changes, upgrades or adds the physical measurement and control device interval.
Citation Information
Patent Citations
Intelligent transformer substation cluster measurement and control device and communication model generation method thereof
CN109474072A
Redundant measurement and control device
CN211859729U