Heterogeneous data compatible processing system and method for signal centralized monitoring system

Abstract

The invention discloses a heterogeneous data compatible processing system and method for a signal centralized monitoring system. The method comprises the following steps: step S1, creating a unified data format specification compatible with new and old system data; s2, converting the identification information and the description information, establishing an index and mapping relation between the data identification of the new system and the data identification of the old system, and converting or unloading the data description information corresponding to the original identification in the old system; s3, converting the operation period data, and performing online format conversion on the operation period data of the stations administered by the old system; and step S4: unified integration processing, including uniformly receiving the old system data converted in the step S3 and the data generated by the new system, and implementing centralized storage, unified distribution and integrated display. Effective compatibility of a new signal centralized monitoring system and an old signal centralized monitoring system is realized, and the operation and maintenance efficiency is improved.

Description

Technical Field

[0001] This invention relates to the field of rail transit, and in particular to a heterogeneous data compatibility processing system and method for a centralized signal monitoring system. Background Technology

[0002] The railway signal centralized monitoring system has undergone years of development, resulting in multiple generations of products such as the TJWX-2006, CSM-2010, and CSM-2020. Due to the independent construction of each system at different times, significant heterogeneity exists in their data formats and configurations. When multiple generations of systems coexist within the same railway bureau, this difference leads to poor interoperability. Maintenance personnel must rely on different terminal devices to access each system separately, making it impossible to achieve unified access and centralized processing of monitoring information across the entire line, thus hindering the improvement of overall system availability. Summary of the Invention

[0003] The purpose of this invention is to solve the problem of incompatibility between monitoring information from different generations of systems. One objective of this invention is to provide a method and system for heterogeneous data compatibility processing applied to centralized signal monitoring systems, thereby improving the data integration and overall availability of railway signal centralized monitoring systems.

[0004] To achieve the above objectives, the present invention provides a heterogeneous data compatibility processing method for a centralized signal monitoring system, comprising the following steps: Step S1: Create a unified data format specification that is compatible with both new and old system data; Step S2: Convert the identification information and description information, including converting the identification information of the old system data online based on the unified data format specification, establishing an index and mapping relationship between the new and old system data identifications, and converting or transferring the data description information corresponding to the original identification in the old system based on the established mapping relationship. Step S3: Convert operational data, including online format conversion of operational data of stations under the old system based on the unified data format specification and the established identifier mapping relationship; Step S4: Unified integration processing, which includes receiving the old system data converted in step S3 and the data generated by the new system in a unified manner, and implementing centralized storage, unified distribution and integrated display.

[0005] Furthermore, the specification includes identification rules, description rules, structural definitions, and association rules.

[0006] Furthermore, the data identification rules are used to define a globally unique identifier for a data entity; The data description rules are used to provide semantic information that supports upper-layer business function analysis and interface display; The data structure definition is used to specify the organization format and type of data during storage and transmission; the data association rules are used to define the logical relationships or mapping rules between different data entities.

[0007] Furthermore, the unified data format specification targets data including: Identification rules, description rules, and structure definition of switch quantity data; Identification rules, description rules, and structure definition of multi-state variable data; Identification rules, description rules, and structural definitions for analog data; Identification rules, description rules, and structure definition for curve-type data; Identification rules and structure definition for statistical data; Identification and association rules for device data; The structure definition and association rules for alarm / event type structured data.

[0008] Furthermore, data identifier conversion includes: The identification information of the data in the old system is divided; Each data source is assigned a globally unique source identifier, and this source identifier is combined with its internal data sequence number and converted into a standard format data identifier according to the identifier rules in the unified data format specification. Establish a one-to-one mapping between the converted data identifier and the data identifier of the old system, and build an index structure to support bidirectional fast queries.

[0009] Furthermore, data description transformation includes: The existing descriptive information in the old system is directly transferred, including data name and data validity identifier; In accordance with the unified data format specification, the data from the old system will be converted into a standardized format; Based on the type of data in the old system, infer and configure its corresponding logical processing mode and interface display mode.

[0010] Furthermore, the identification rule for the switch quantity data is as follows: its unique identifier is composed of the source number of the data acquisition interface and the data sequence number inside the interface; The description rules for the switch quantity data are as follows: its key description information includes data name, type code, data validity identifier, logic processing mode and interface display mode. The structure of the switch data is defined as follows: it adopts the composition form of "timestamp-data unit", wherein the data unit is an ordered queue of all data values ​​under the same acquisition interface.

[0011] Furthermore, the identification rule for the multi-state data is as follows: its unique identifier is composed of the source number of the data acquisition interface and the data sequence number inside the interface; The description rules for the multi-state variable data are as follows: its key description information includes data name, type code, data validity identifier, and semantic description information corresponding to each valid state value.

[0012] The structure of the multi-state data is defined as follows: it adopts the composition form of "timestamp-data unit", wherein the data unit is an ordered queue of all data values ​​under the same acquisition interface.

[0013] Furthermore, the identification rule for the analog data is as follows: its unique identifier is composed of the source number of the data acquisition interface, the analog type, and the data sequence number of the same analog type within the interface; The description rules for the analog data are as follows: its key descriptive information includes data name, unit name, acquisition frequency, data validity identifier, numerical range, and data alarm limit; The structure of the analog data is defined as follows: it adopts the composition form of "timestamp-data unit", wherein the data unit is an ordered queue of all data values ​​of the same type of analog quantity under the same acquisition interface.

[0014] Furthermore, the identification rule for the curve-type data is as follows: its unique identifier is composed of the source number of the data acquisition interface, the curve data type, and the data sequence number within the acquisition interface; The description rules for curve-type data are as follows: its key descriptive information includes data name, unit name, acquisition frequency, data validity identifier, and numerical range. The structure of the curve-type data is defined as follows: it adopts the composition form of "timestamp-data unit-additional information", wherein the data unit is an ordered queue formed by the values ​​of all collected data points of the curve in chronological order, and the additional information is used to record specific business attributes or metadata related to the curve.

[0015] Furthermore, the identification rule for the statistical data is as follows: its unique identifier consists of the statistical data type and the name of the statistical object; The structure of the statistical data is defined as follows: it adopts the composition form of "statistical time period - statistical value" to record the aggregated calculation results within a specific statistical period.

[0016] Furthermore, the identification rule for the device data is as follows: its unique identifier is composed of both the device type and the device name; The association rule for the device data is: the device object is directly associated with the identifier of its corresponding collected data.

[0017] Furthermore, the structure definition is configured to adopt a "key field - extended field" composition; wherein, the key field is used to record the core attributes of the alarm or event, and the extended field is used to carry related auxiliary information; The data association rule is configured to directly associate each alarm or event data record with its corresponding source device identifier.

[0018] In addition, the present invention also proposes a heterogeneous data compatible processing system for a centralized signal monitoring system, for executing the processing method, comprising: a conversion server, an application server, and a terminal device; The conversion server interacts with the old system and is configured to execute steps S2 and S3 to convert data identifiers, description information, and runtime data. The application server, which is communicatively connected to the conversion server and the new system, is configured to perform the data centralized storage and unified distribution functions in step S4. The terminal device is connected to the application server and is configured to perform the integrated display function in step S4, supporting operators to uniformly access and process all monitoring information from the new and old systems.

[0019] The present invention has the following beneficial effects: This invention achieves effective compatibility between the new and old centralized signal monitoring systems without significantly increasing hardware costs, and supports unified access and centralized processing of monitoring information from all stations along the entire line, thereby significantly improving the overall availability and operational efficiency of the centralized signal monitoring system.

[0020] This invention provides a complete data foundation for subsequent global data trend analysis, intelligent diagnosis, and deep data mining by standardizing and transforming the data from the old system's operation period and integrating and storing it with the data from the new system. Attached Figure Description

[0021] Figure 1 This is a diagram illustrating the online conversion of data identification information. Figure 2 This is a diagram illustrating online format conversion of runtime data. Figure 3 This is a block diagram of a heterogeneous data compatible processing system for a centralized signal monitoring system. Detailed Implementation

[0022] The heterogeneous data compatible processing system and method for centralized signal monitoring systems proposed in this invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. The advantages and features of this invention will become clearer from the following description. It should be noted that the drawings are in a very simplified form and use non-precise proportions, only for the purpose of conveniently and clearly illustrating the embodiments of this invention. Please refer to the drawings to make the objectives, features, and advantages of this invention more apparent and understandable. It should be understood that the structures, proportions, sizes, etc., depicted in the accompanying drawings are only for the purpose of assisting those skilled in the art in understanding and reading the content disclosed in the specification, and are not intended to limit the implementation conditions of this invention. Therefore, they have no substantial technical significance. Any modifications to the structure, changes in the proportional relationships, or adjustments to the size, without affecting the effects and objectives achieved by this invention, should still fall within the scope of the technical content disclosed in this invention.

[0023] like Figure 1 , 2 As shown, the present invention proposes a heterogeneous data compatibility processing method for a centralized signal monitoring system, comprising the following steps: Step S1: Create a unified data format specification that is compatible with data from both the new and old centralized signal monitoring systems (hereinafter referred to as the new and old systems), including data identification rules, data description rules, data structure definitions, and data association rules.

[0024] (1) The unified data format specification includes identification rules, description rules, and structure definitions for switch quantity data collected by the centralized signal monitoring system. Specifically: The identification rule for the switch data is as follows: its unique identifier is composed of the source number of the data acquisition interface and the data sequence number inside the interface.

[0025] The description rules for the switch quantity data are as follows: its key description information includes data name, type code, data validity identifier, logic processing mode, and interface display mode.

[0026] The structure of the switch data is defined as follows: it adopts the composition form of "timestamp-data unit", wherein the data unit is an ordered queue of all data values ​​under the same acquisition interface.

[0027] (2) The unified data format specification includes identification rules, description rules, and structure definitions for the multi-state data collected by the monitoring system. Specifically: The identification rule for the multi-state variable data is as follows: its unique identifier is composed of the source number of the data acquisition interface and the data sequence number inside the interface.

[0028] The description rules for the multi-state variable data are as follows: its key description information includes data name, type code, data validity identifier, and semantic description information corresponding to each valid state value.

[0029] The structure of the multi-state data is defined as follows: it adopts the composition form of "timestamp-data unit", wherein the data unit is an ordered queue of all data values ​​under the same acquisition interface.

[0030] (3) The unified data format specification includes identification rules, description rules, and structure definitions for analog data collected by the monitoring system. Specifically: The identification rule for the analog data is as follows: its unique identifier is composed of the source number of the data acquisition interface, the analog type, and the data sequence number of the same analog type within the interface.

[0031] The description rules for the analog data are as follows: its key descriptive information includes data name, unit name, acquisition frequency, data validity identifier, numerical range, and data alarm limit.

[0032] The structure of the analog data is defined as follows: it adopts the composition form of "timestamp-data unit", wherein the data unit is an ordered queue of all data values ​​of the same type of analog quantity under the same acquisition interface.

[0033] (4) The unified data format specification includes identification rules, description rules, and structure definitions for curve-type data collected by the monitoring system. Specifically: The identification rule for curve-type data is as follows: its unique identifier is composed of the source number of the data acquisition interface, the curve data type, and the data sequence number within the acquisition interface.

[0034] The description rules for curve-type data are as follows: its key descriptive information includes data name, unit name, acquisition frequency, data validity identifier, and numerical range.

[0035] The structure of the curve-type data is defined as follows: it adopts the composition form of "timestamp-data unit-additional information", wherein the data unit is an ordered queue formed by the values ​​of all collected data points of the curve in chronological order, and the additional information is used to record specific business attributes or metadata related to the curve.

[0036] (5) The unified data format specification includes the identification rules and structure definitions for statistical data in the monitoring system. Specifically: The identification rule for statistical data is that its unique identifier consists of the statistical data type and the name of the statistical object.

[0037] The structure of the statistical data is defined as follows: it adopts the composition form of "statistical time period - statistical value" to record the aggregated calculation results within a specific statistical period.

[0038] (6) The unified data format specification includes identification rules and data association rules for equipment data in the monitoring system. Specifically: The identification rule for the device data is that its unique identifier is composed of the device type and the device name.

[0039] The association rule for the device data is: the device object is directly associated with the identifier of its corresponding collected data.

[0040] (7) The unified data format specification includes the structure definition and data association rules for structured data of alarm / event types within the monitoring system. Specifically: The structure definition is configured to use a "key field - extended field" composition; where the key field is used to record the core attributes of the alarm or event, and the extended field is used to carry related auxiliary information.

[0041] The data association rule is configured to directly associate each alarm or event data record with its corresponding source device identifier.

[0042] Step S2: Based on the unified data format specification, the data identification information of the stations under the jurisdiction of the old system is converted online, an index and mapping relationship between the identification data of the old and new systems is established, and based on the established mapping relationship, the data description information corresponding to the original identification in the old system is converted or transferred.

[0043] (1) Online conversion of data identification information and data description information of stations under the jurisdiction of the old system, including conversion of switch quantity data identification and data description.

[0044] The specific implementation method of the data identifier conversion is as follows: The switch quantity data of the old system are classified according to the data collection source; Assign a globally unique source identifier to each data source, and combine the source identifier with its internal data sequence number, converting it into a standard format switch quantity data identifier according to the identifier rules in the unified data format specification; Establish a one-to-one mapping between the new identifier and the original identifier in the old system, and build an index structure to support bidirectional fast queries.

[0045] The specific implementation method of the data description transformation is as follows: Key descriptive information already existing in the old system is directly transferred, including data names and data validity identifiers; Based on the unified data format specification, the switch quantity types of the old system are mapped and transformed into standardized type definitions; Based on the meaning of the switch type business in the old system, infer and configure its corresponding logical processing mode and interface display mode.

[0046] (2) Online conversion of data identification information of stations under the jurisdiction of the old system, including conversion of multi-state data identification represented by multi-channel switch quantities in the old system. The specific implementation method is as follows: A unique identifier is added to the multi-state quantity data, and its associated switch quantity acquisition source identifier number is combined with the multi-state quantity data sequence number. In accordance with the identifier rules in the unified data format specification, a standard format multi-state quantity data identifier is generated. Establish a one-to-many mapping relationship between the converted multi-state variable identifier and the original multi-channel switch quantity identifier of the old system.

[0047] (3) Online conversion of data identification information and data description information of stations under the jurisdiction of the old system, including conversion of analog data identification and data description.

[0048] The specific implementation method of the data identifier conversion is as follows: Based on the unified data format specification, the analog data types of the old system are mapped and converted into standardized analog data types; Assign a unique source identifier to each analog acquisition source in the old system, and combine the "standard analog quantity type", "source identifier" and "data sequence number under this source" to reconstruct a standard format analog quantity data identifier according to the identifier rules in the specification.

[0049] Establish a one-to-one mapping between the new identifier and the original identifier in the old system, and build an index structure to support bidirectional fast queries.

[0050] The specific implementation method of the data description transformation is as follows: Key descriptive information already existing in the old system is directly transferred, including data name, unit name, acquisition frequency, data validity identifier, numerical range, and data alarm limit.

[0051] (4) Online conversion of data identification information and data description information of stations under the jurisdiction of the old system, including conversion of curve data identification and data description.

[0052] The specific implementation method of the data identifier conversion is as follows: Based on the unified data format specification, the curve data type of the old system is mapped and converted into a standardized curve data type; Assign a unique source identifier to each curve data acquisition source in the old system, and combine the "standard curve data type", "source identifier" and "data sequence number under this source" to reconstruct a standard format curve data identifier according to the identifier rules in the specification.

[0053] Establish a one-to-one mapping between the new identifier and the original identifier in the old system, and build an index structure to support bidirectional fast queries.

[0054] The specific implementation method of the data description transformation is as follows: Key descriptive information already existing in the old system is directly transferred, including data name, unit name, acquisition frequency, data validity identifier, and numerical range.

[0055] (5) Online conversion of data identification information for stations under the jurisdiction of the old system, including conversion of statistical data identification, specifically implemented as follows: Based on the unified data format specification and the statistical business meaning of the old system, a standardized statistical data type is estimated and configured for the statistical data of the old system; Combine the standard statistical data type with the name of the statistical object, and generate a standard format statistical data identifier according to the identifier rules in the specification.

[0056] Establish a one-to-one mapping between the new identifier and the original identifier in the old system, and build an index structure to support bidirectional fast queries.

[0057] (6) Online conversion of data identification information for stations under the jurisdiction of the old system, including conversion of equipment data identification, specifically implemented as follows: Based on the unified data format specification, the device data types of the old system are mapped and converted into standardized device data types; Combine the standard device data type with the device object name, and generate a standard format device data identifier according to the identifier rules in the specification.

[0058] Establish a one-to-one mapping between the new identifier and the original identifier in the old system, and build an index structure to support bidirectional fast queries.

[0059] Based on the business meaning of the device data, infer and configure the associated data collection identifier.

[0060] Step S3: Based on the unified data format specification and the established identifier mapping relationship, perform online format conversion on the operational data of stations under the jurisdiction of the old system.

[0061] (1) Perform online format conversion on the operational data of stations under the jurisdiction of the old system, including online format conversion of switch data. The specific implementation method is as follows: Receive switch input data from the old system; Based on the old system's switch quantity data identifiers, find the corresponding standard format switch quantity data identifiers through the established mapping relationships; Based on the old system's switch quantity data format, extract the timestamp and data value information, and fill them into the timestamp field and ordered queue field of the standard data structure according to the unified data format specification.

[0062] (2) Perform online format conversion on the operational data of stations under the jurisdiction of the old system, including online format conversion on the multi-state data represented by multi-channel switch quantities in the old system. The specific implementation method is as follows: Receive switch input data from the old system; Extract the multi-channel switch quantity data identifiers that need to be converted, and query the standard format data identifiers of the corresponding target multi-state quantities through the established mapping relationship; Extract the values ​​of the multiple switch quantities that need to be converted, and combine them into the target multi-state quantity values ​​according to the preset business rules; Construct a multi-state data structure according to the unified data format specification, and fill in the timestamp field and the ordered queue field of data values.

[0063] (3) Perform online format conversion on the operational data of stations under the jurisdiction of the old system, including online format conversion of analog data. The specific implementation method is as follows: Retrieve and receive real-time and historical analog data from the old system; Based on the analog data identifiers of the old system, the corresponding standard format analog data identifiers are found through the established mapping relationships; Based on the old system's analog data format, timestamps and data value information are extracted, and the analog values ​​represented by integers in the old system are converted into floating-point data. In accordance with the unified data format specification, the processed timestamp and floating-point data values ​​are filled into the timestamp field and ordered queue field of the standard data structure.

[0064] (4) Perform online format conversion on the operational data of stations under the jurisdiction of the old system, including online format conversion of curve data. The specific implementation method is as follows: Retrieve and receive historical curve data from the old system; Based on the curve data identifiers of the old system, the corresponding standard format curve data identifiers are found through the established mapping relationships; Based on the curve data format of the old system, extract information such as timestamps, data values, and curve rotation direction, and convert the curve values ​​represented by integers in the old system into floating-point data; In accordance with the unified data format specification, the processed timestamp, ordered queue of floating-point data values, and curve rotation direction information are respectively filled into the timestamp field, data value queue field, and additional information field of the standard curve data structure.

[0065] (5) Perform online format conversion on the operational data of stations under the jurisdiction of the old system, including online format conversion of statistical data. The specific implementation method is as follows: Retrieve and receive historical statistical data from the old system according to a preset time period; Based on the statistical data identifiers of the old system, the corresponding standard format statistical data identifiers are found through the established mapping relationships; Based on the statistical data format of the old system, extract the statistical period and statistical value information, and fill them into the corresponding fields of the standard data structure in accordance with the unified data format specifications.

[0066] (6) Perform online format conversion on the operational data of stations under the jurisdiction of the old system, including online format conversion of alarm data. The specific implementation method is as follows: Receive alarm push data from the old system; Based on the alarm data format of the old system, extract key fields such as alarm device information, alarm time, alarm type and alarm text. The key fields are converted according to the unified data format specification, including: finding the corresponding standard format device type and device name based on the alarm device name through the established mapping relationship; mapping and converting the old system alarm type to the standard alarm type.

[0067] Based on the alarm service rules of the old system, infer and generate extended information in the standard format, including alarm summary information.

[0068] Step S4: The converted old system data and the data generated by the new system are received in a unified manner, and then centrally stored, distributed, and displayed in a unified manner.

[0069] In addition, this invention also proposes a heterogeneous data compatible processing system for a centralized signal monitoring system, such as... Figure 3 As shown, the heterogeneous data compatible processing system includes: a conversion server, an application server, and terminal devices. The conversion server is configured to interact with the old signal centralized monitoring system to perform format conversion and mapping of old system data identifiers, description information and operational data. The application server is configured to communicate with both the conversion server and the new signal centralized monitoring system to achieve centralized storage, unified scheduling and distribution of the converted data and the new system data. The terminal device is configured to connect to the application server to achieve integrated display of monitoring information from the old and new systems, and to support operators in uniformly accessing and analyzing monitoring data from all stations along the line.

[0070] The present invention has at least the following beneficial effects: (1) Without significantly increasing hardware costs, the present invention achieves effective compatibility between the new and old centralized signal monitoring systems, supports unified access and centralized processing of monitoring information of all stations along the line, thereby significantly improving the overall availability and operation and maintenance efficiency of the centralized signal monitoring system.

[0071] (2) This invention provides a complete data foundation for subsequent global data trend analysis, intelligent diagnosis and deep data mining by standardizing and converting the old system's operational data and integrating and storing it with the new system's data.

[0072] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0073] In the description of this invention, it should be understood that the terms "center," "height," "thickness," "upper," "lower," "vertical," "horizontal," "top," "bottom," "inner," "outer," "axial," "radial," and "circumferential," etc., indicating orientation or positional relationships, are based on the orientation or positional relationships shown in the accompanying drawings and are only for the convenience of describing the invention 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 the invention. In the description of this invention, unless otherwise stated, "a plurality of" means two or more.

[0074] In the description of this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," and "fixing" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection 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 invention according to the specific circumstances.

[0075] In this invention, unless otherwise explicitly 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.

[0076] Although the present invention has been described in detail through the preferred embodiments above, it should be understood that the above description should not be considered as a limitation of the present invention. Various modifications and substitutions to the present invention will be apparent to those skilled in the art after reading the above description. Therefore, the scope of protection of the present invention should be defined by the appended claims.

Claims

1. A method for heterogeneous data compatibility processing in a centralized signal monitoring system, comprising the following steps: Step S1: Create a unified data format specification that is compatible with both new and old system data; Step S2: Convert the identification information and description information, including converting the identification information of the old system data online based on the unified data format specification, establishing an index and mapping relationship between the new and old system data identifications, and converting or transferring the data description information corresponding to the original identification in the old system based on the established mapping relationship. Step S3: Convert operational data, including online format conversion of operational data of stations under the old system based on the unified data format specification and the established identifier mapping relationship; Step S4: Unified integration processing, which includes receiving the old system data converted in step S3 and the data generated by the new system in a unified manner, and implementing centralized storage, unified distribution and integrated display.

2. The heterogeneous data compatibility processing method as described in claim 1, characterized in that, The specification includes identification rules, description rules, structural definitions, and association rules.

3. The heterogeneous data compatibility processing method as described in claim 2, characterized in that, The data identification rules are used to define globally unique identifiers for data entities; The data description rules are used to provide semantic information that supports upper-layer business function analysis and interface display; The data structure definition is used to specify the organization format and type of data during storage and transmission; the data association rules are used to define the logical relationships or mapping rules between different data entities.

4. The heterogeneous data compatibility processing method as described in claim 2, characterized in that, The unified data format specification covers the following types of data: Identification rules, description rules, and structure definition of switch quantity data; Identification rules, description rules, and structure definition of multi-state variable data; Identification rules, description rules, and structural definitions for analog data; Identification rules, description rules, and structure definition for curve-type data; Identification rules and structure definition for statistical data; Identification and association rules for device data; The structure definition and association rules for alarm / event type structured data.

5. The heterogeneous data compatibility processing method as described in claim 4, characterized in that, Data identifier conversion includes: The identification information of the data in the old system is divided; Each data source is assigned a globally unique source identifier, and this source identifier is combined with its internal data sequence number and converted into a standard format data identifier according to the identifier rules in the unified data format specification. Establish a one-to-one mapping between the converted data identifier and the data identifier of the old system, and build an index structure to support bidirectional fast queries.

6. The heterogeneous data compatibility processing method as described in claim 4, characterized in that, Data description transformation includes: The existing descriptive information in the old system is directly transferred, including data name and data validity identifier; In accordance with the unified data format specification, the data from the old system will be converted into a standardized format; Based on the type of data in the old system, infer and configure its corresponding logical processing mode and interface display mode.

7. The heterogeneous data compatibility processing method as described in claim 4, characterized in that, The identification rule for the switch data is as follows: its unique identifier is composed of the source number of the data acquisition interface and the data sequence number inside the interface; The description rules for the switch quantity data are as follows: its key description information includes data name, type code, data validity identifier, logic processing mode and interface display mode. The structure of the switch data is defined as follows: it adopts the composition form of "timestamp-data unit", wherein the data unit is an ordered queue of all data values ​​under the same acquisition interface.

8. The heterogeneous data compatibility processing method as described in claim 4, characterized in that, The identification rule for the multi-state variable data is as follows: its unique identifier is composed of the source number of the data acquisition interface and the data sequence number inside the interface; The description rule for the multi-state variable data is as follows: its key description information includes data name, type code, data validity identifier, and semantic description information corresponding to each valid state value. The structure of the multi-state data is defined as follows: it adopts the composition form of "timestamp-data unit", wherein the data unit is an ordered queue of all data values ​​under the same acquisition interface.

9. The heterogeneous data compatibility processing method as described in claim 4, characterized in that, The identification rule for the analog data is as follows: its unique identifier is composed of the source number of the data acquisition interface, the analog type, and the data sequence number of the same analog type within the interface. The description rules for the analog data are as follows: its key descriptive information includes data name, unit name, acquisition frequency, data validity identifier, numerical range, and data alarm limit; The structure of the analog data is defined as follows: it adopts the composition form of "timestamp-data unit", wherein the data unit is an ordered queue of all data values ​​of the same type of analog quantity under the same acquisition interface.

10. The heterogeneous data compatibility processing method as described in claim 4, characterized in that, The identification rule for curve-type data is as follows: its unique identifier is composed of the source number of the data acquisition interface, the curve data type, and the data sequence number inside the acquisition interface; The description rules for curve-type data are as follows: its key descriptive information includes data name, unit name, acquisition frequency, data validity identifier, and numerical range. The structure of the curve data is defined as follows: it adopts the composition form of "timestamp-data unit-additional information", wherein the data unit is an ordered queue formed by the time sequence of all collected data points of the curve, and the additional information is used to record specific business attributes or metadata related to the curve.

11. The heterogeneous data compatibility processing method as described in claim 4, characterized in that, The identification rule for statistical data is that its unique identifier consists of the statistical data type and the name of the statistical object. The structure of the statistical data is defined as follows: it adopts the composition form of "statistical time period - statistical value" to record the aggregated calculation results within a specific statistical period.

12. The heterogeneous data compatibility processing method as described in claim 4, characterized in that, The identification rule for the device data is that its unique identifier is composed of both the device type and the device name; The association rule for the device data is: the device object is directly associated with the identifier of its corresponding collected data.

13. The heterogeneous data compatibility processing method as described in claim 4, characterized in that, The structure definition is configured to use a "key field - extended field" composition; where the key field is used to record the core attributes of the alarm or event, and the extended field is used to carry related auxiliary information; The data association rule is configured to directly associate each alarm or event data record with its corresponding source device identifier.

14. A heterogeneous data compatible processing system for a centralized signal monitoring system, used to execute the processing method as described in claims 1 to 13, comprising: Conversion servers, application servers, and terminal devices; The conversion server interacts with the old system and is configured to execute steps S2 and S3 to convert data identifiers, description information, and runtime data. The application server, which is communicatively connected to the conversion server and the new system, is configured to perform the data centralized storage and unified distribution functions in step S4. The terminal device is connected to the application server and is configured to perform the integrated display function in step S4, supporting operators to uniformly access and process all monitoring information from the new and old systems.

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