Railway power supply equipment alarm method, device and equipment based on signal aggregation and medium

Abstract

The invention discloses a railway power supply equipment alarm method and device based on signal aggregation, equipment and a medium. The method comprises the following steps: acquiring parameter data of railway power supply equipment; parameter analysis is carried out on the multiple pieces of parameter data so as to group the multiple pieces of parameter data, influence factors of each group of parameter data are set, and parameter analysis comprises correlation analysis, phenomenon analysis and correlation analysis; determining an alarm rule corresponding to each group of parameter data, and incorporating a plurality of alarm rules into an alarm model library; and inputting a plurality of to-be-detected parameter data of the to-be-detected railway power supply equipment into the alarm model library to judge whether an alarm signal is sent out or not. The invention belongs to the field of power supply equipment alarm. According to the invention, the operation condition of the power supply equipment can be truly and effectively expressed or evaluated, and false alarm, missing alarm and repeated alarm are not easy to generate.

Description

Technical Field

[0001] The present invention relates to the field of power supply equipment alarm, and in particular to a railway power supply equipment alarm method, device, equipment and medium based on signal aggregation. Background Art

[0002] Railway power supply equipment refers to various facilities and devices that provide power support for railway operations, mainly including the following parts: traction substation, overhead line, substation, switch station, high-voltage transmission line, auxiliary power supply equipment. In addition to the main power supply system, there are also equipment that provides power for auxiliary equipment such as railway signals, communications, lighting, air conditioning, etc., remote power supply equipment, and power monitoring systems. These devices together constitute a complete railway power system, ensuring that electric locomotives and other railway equipment can obtain continuous, stable and efficient power supply. With the advancement of technology, equipment is also constantly being updated to adapt to higher operating speeds and greater transportation needs.

[0003] The current mainstream railway power supply equipment alarms are all single behavior alarms for the over-limit or state change of a certain parameter of the equipment. This alarm can only express that a certain aspect or a certain parameter of the equipment is abnormal, but cannot truly and effectively express or evaluate the operation of the power supply equipment itself, and is prone to false alarms, missed alarms, and repeated alarms. Therefore, it is urgent to propose a method that can truly reflect the operation of railway power supply equipment. Summary of the invention

[0004] The present invention solves the technical problems in the prior art that the operating conditions of the power supply equipment itself cannot be truly and effectively expressed or evaluated, and that false alarms, missed alarms, and repeated alarms are easily generated by providing a railway power supply equipment alarm method, device, equipment, and medium based on signal aggregation, thereby achieving a technical effect that can accurately and truly reflect the operating conditions of the power supply equipment.

[0005] In a first aspect, the present invention provides a railway power supply equipment alarm method based on signal aggregation, the method comprising:

[0006] Acquire parameter data of railway power supply equipment, wherein the parameter data of railway power supply equipment includes parameter data of railway power supply equipment body, parameter data of railway power supply equipment parts, parameter data of auxiliary monitoring equipment and parameter data of associated equipment, wherein the associated equipment and railway power supply equipment are connected in the same power supply network;

[0007] Performing parameter analysis on a plurality of parameter data to group the plurality of parameter data and setting an influencing factor for each group of parameter data, wherein the parameter analysis includes correlation analysis, phenomenon analysis and relevance analysis;

[0008] Determine the alarm rules corresponding to each set of parameter data, and incorporate several alarm rules into the alarm model library;

[0009] Several parameter data to be detected of the railway power supply equipment to be detected are input into the alarm model library to determine whether to issue an alarm signal.

[0010] Furthermore, parameter data of railway power supply equipment is obtained, including:

[0011] According to the electrical characteristics, mechanical characteristics and functional characteristics of the railway power supply equipment, the parameter data of the railway power supply equipment is obtained;

[0012] According to the composition relationship between the components of the railway power supply equipment, the parameter data of the components of the railway power supply equipment are obtained;

[0013] Acquiring parameter data of the auxiliary monitoring equipment according to the auxiliary monitoring equipment monitoring the railway power supply equipment;

[0014] According to the connection relationship between the associated equipment and the railway power supply equipment, the parameter data of the associated equipment is obtained.

[0015] Further, regarding parameter analysis, it includes:

[0016] Conduct correlation analysis on a number of parameter data, including: analyzing the data change relationship between the parameter data according to the logical relationship or physical relationship between the parameter data; or,

[0017] Performing phenomenon analysis on a number of parameter data, including: inputting the parameter data into a preset phenomenon relationship knowledge base to obtain the performance relationship between the parameter data and the phenomenon; or,

[0018] The correlation analysis is performed on a plurality of parameter data, including: inputting the parameter data into a preset correlation relationship knowledge base to obtain the influence relationship between the parameter data of the railway power supply equipment.

[0019] Furthermore, the alarm rules corresponding to each set of parameter data are determined, and several alarm rules are incorporated into the alarm model library, which also includes:

[0020] Obtain some parameter data of railway power supply equipment again;

[0021] Construct an extended model library based on several parameter data of railway power supply equipment acquired again;

[0022] Several groups of parameter data are expanded and supplemented by extending the model library.

[0023] Furthermore, a number of parameter data to be detected of the railway power supply equipment to be detected are input into the alarm model library to determine whether to issue an alarm signal, including:

[0024] When any alarm rule is triggered by some parameter data of the railway power supply equipment to be detected, an alarm signal is issued.

[0025] Furthermore, after the alarm signal is issued, the method further includes:

[0026] Review the device corresponding to the alarm signal and store the alarm snapshot information of the device;

[0027] Output the alarm information of the device to the client of the target user.

[0028] Furthermore, it also includes

[0029] The influencing factors and alarm rules are adjusted based on the results of several reviews, where the results of the reviews include whether the alarm is accurate or inaccurate.

[0030] In a second aspect, the present invention provides a railway power supply equipment alarm device based on signal aggregation, the device comprising:

[0031] An acquisition module is used to acquire parameter data of railway power supply equipment, wherein the parameter data of railway power supply equipment includes parameter data of railway power supply equipment body, parameter data of railway power supply equipment parts, parameter data of auxiliary monitoring equipment and parameter data of associated equipment, wherein the associated equipment and the railway power supply equipment are connected in the same power supply network;

[0032] A grouping module is used to perform parameter analysis on a plurality of parameter data, so as to group the plurality of parameter data and set the influencing factors of each group of parameter data, wherein the parameter analysis includes correlation analysis, phenomenon analysis and relevance analysis;

[0033] A model building module is used to determine the alarm rules corresponding to each set of parameter data and incorporate several alarm rules into the alarm model library;

[0034] The judgment module is used to input a number of parameter data to be detected of the railway power supply equipment to be detected into the alarm model library to determine whether to issue an alarm signal.

[0035] In a third aspect, the present invention provides an electronic device, comprising:

[0036] processor;

[0037] a memory for storing processor-executable instructions;

[0038] Wherein, the processor is configured to execute to implement the railway power supply equipment alarm method based on signal aggregation as provided in the first aspect above.

[0039] In a fourth aspect, the present invention provides a non-temporary computer-readable storage medium, which, when the instructions in the storage medium are executed by a processor of an electronic device, enables the electronic device to execute the railway power supply equipment alarm method based on signal aggregation as provided in the first aspect above.

[0040] One or more technical solutions provided in the present invention have at least the following technical effects or advantages:

[0041] The railway power supply equipment alarm method based on signal aggregation of the present invention comprises: obtaining parameter data of the railway power supply equipment, wherein the parameter data of the railway power supply equipment comprises parameter data of the railway power supply equipment body, parameter data of the railway power supply equipment parts, parameter data of the auxiliary monitoring equipment and parameter data of the associated equipment, wherein the associated equipment and the railway power supply equipment are connected in the same power supply network; performing parameter analysis on a plurality of parameter data to group the plurality of parameter data, and setting the influencing factors of each group of parameter data, wherein the parameter analysis comprises correlation analysis, phenomenon analysis and correlation analysis; determining the alarm rules corresponding to each group of parameter data, and incorporating the plurality of alarm rules into the alarm model library; inputting a plurality of parameter data to be detected of the railway power supply equipment to be detected into the alarm model library to determine whether to issue an alarm signal. The present invention forms a railway power supply equipment alarm rule or alarm model based on the electrical characteristics, mechanical characteristics, functional characteristics, etc. of the railway power supply equipment itself, as well as various information such as the component composition of the equipment, the auxiliary monitoring sensors, and the status of the associated equipment. According to the parameters gathered from various telesignals, telemetering, etc. from multiple angles, dimensions, and data sources, the influencing factors of each type / group of parameters on the behavioral alarm of railway power supply equipment are estimated, and then input into the alarm model or alarm rules of the power supply equipment, so as to comprehensively evaluate the actual operation status of the power supply equipment, and finally give an effective equipment operation status alarm. Compared with the current mainstream railway power supply equipment alarms, which are all single behavior alarms for the over-limit / state change of a certain parameter of the equipment, the present invention can truly and effectively express or evaluate the operation status of the power supply equipment itself, and is not prone to false alarms, missed alarms, and repeated alarms. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0043] Figure 1 A schematic diagram of a flow chart of a railway power supply equipment alarm method based on signal aggregation provided by the present invention;

[0044] Figure 2 A schematic flow chart of another railway power supply equipment alarm method based on signal aggregation provided by the present invention. DETAILED DESCRIPTION

[0045] The embodiment of the present invention solves the technical problems in the prior art that the operation status of the power supply equipment itself cannot be truly and effectively expressed or evaluated, and false alarms, missed alarms and repeated alarms are easily generated by providing a railway power supply equipment alarm method based on signal aggregation.

[0046] The technical solution of the present invention is to solve the above technical problems, and the overall idea is as follows:

[0047] A railway power supply equipment alarm method based on signal aggregation, the method comprising: obtaining parameter data of the railway power supply equipment, wherein the parameter data of the railway power supply equipment includes parameter data of the railway power supply equipment body, parameter data of parts and components of the railway power supply equipment, parameter data of auxiliary monitoring equipment and parameter data of associated equipment, wherein the associated equipment and the railway power supply equipment are connected in the same power supply network; performing parameter analysis on a number of parameter data to group the number of parameter data and setting an influencing factor for each group of parameter data, wherein the parameter analysis includes correlation analysis, phenomenon analysis and correlation analysis; determining the alarm rules corresponding to each group of parameter data and incorporating the number of alarm rules into an alarm model library; inputting a number of parameter data to be detected of the railway power supply equipment to be detected into the alarm model library to determine whether to issue an alarm signal.

[0048] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0049] First of all, the term "and / or" in this article is only a description of the association relationship of the associated objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0050] The present invention provides Figure 1 The railway power supply equipment alarm method based on signal aggregation shown includes steps S11-S14:

[0051] Regarding step S11, parameter data of the railway power supply equipment is obtained, wherein the parameter data of the railway power supply equipment includes parameter data of the railway power supply equipment body, parameter data of components of the railway power supply equipment, parameter data of auxiliary monitoring equipment and parameter data of associated equipment, wherein the associated equipment and the railway power supply equipment are connected in the same power supply network.

[0052] Obtaining parameter data of railway power supply equipment includes: obtaining parameter data of the railway power supply equipment body according to the electrical characteristics, mechanical characteristics and functional characteristics of the railway power supply equipment body; obtaining parameter data of the parts of the railway power supply equipment according to the composition relationship between the parts of the railway power supply equipment; obtaining parameter data of the auxiliary monitoring equipment according to the auxiliary monitoring equipment that monitors the railway power supply equipment; obtaining parameter data of the associated equipment according to the connection relationship between the associated equipment and the railway power supply equipment.

[0053] Railway power supply equipment refers to various facilities and devices that provide power support for railway operations, which may include traction substations, contact lines, substations, and switch stations.

[0054] A parameter is used to describe any one of a set of physical properties that determine the characteristics or behavior of a system.

[0055] Electrical characteristics refer to the input and output voltage values ​​of the device when it is running, the current intensity flowing through the device, the electrical power consumed or generated by the device, the frequency of the electrical energy, etc.

[0056] Mechanical characteristics refer to the actual physical size of the equipment, the mass of the equipment, the vibration level of the equipment when it is running, the temperature of the equipment when it is working, the noise level generated by the equipment when it is running, etc.

[0057] Functional characteristics refer to the energy efficiency of the equipment in converting input energy into useful output, the maximum load that the equipment can handle, the response time, the probability that the equipment will operate without failure under specified conditions, the expected service life of the equipment, and the ability of the equipment to work in conjunction with other systems or components.

[0058] Railway power supply equipment is composed of several parts. Detailed records are kept of the various components that make up the power supply equipment, and the parameters defined for each component. For example:

[0059] For transformers: rated capacity, voltage ratio, winding resistance, no-load loss, load loss, insulation resistance, etc.; for circuit breakers: rated current, rated voltage, breaking capacity, closing time, opening time, mechanical life, etc.; for cables: length, cross-sectional area, insulation type, maximum allowable temperature rise, etc.

[0060] The parameter data of the auxiliary monitoring device refers to the data obtained by the auxiliary monitoring device, for example, the temperature obtained by the temperature sensor and the pressure obtained by the pressure sensor.

[0061] Acquiring parameter data of associated devices of a power supply device based on the connection relationship of the power supply device in the power supply network means that we should not only pay attention to the performance parameters of a single power supply device itself, but also consider the status and performance of other devices connected to it.

[0062] The structure of the power supply network can be obtained first (in this field, the structure of the power supply network is also the main wiring diagram of the power supply network), that is, how the various power supply equipment are connected to each other, including the connection relationship between the main power supply lines, branch lines, switch stations, substations, etc., and then all related associated equipment can be obtained, including but not limited to transformers, circuit breakers, relay protection devices, contact networks, cables, distribution boards, and finally the parameter data of each associated equipment can be obtained.

[0063] In addition, path parameters can also be obtained, such as image recognition, infrared temperature measurement, voiceprint monitoring, geomagnetic wave partial discharge monitoring, weather, etc.

[0064] Regarding step S12, parameter analysis is performed on a plurality of parameter data to group the plurality of parameter data and set an influencing factor for each group of parameter data, wherein the parameter analysis includes correlation analysis, phenomenon analysis and relevance analysis.

[0065] Regarding parameter analysis, it includes: performing correlation analysis on a number of parameter data, including: analyzing the data change relationship between the parameter data based on the logical relationship or physical relationship between the parameter data.

[0066] For example, the mathematical relationship between total active power and phase voltage, current and line voltage and line current in a three-phase symmetrical circuit is:

[0067]

[0068] Among them U x is the phase voltage, I x is the phase current, U L is the line voltage, I L is the line current, is the power factor, P is the total active power;

[0069] For example, the mathematical relationship between voltage and power factor in a three-phase asymmetrical circuit and a three-phase current is as follows:

[0070]

[0071] Among them, P A , P B , P C are the power of each of the three items, U A , U B , U C are the voltages of each of the three items, I A ,I B ,I C are the currents of each of the three terms respectively.

[0072] Performing phenomenon analysis on a number of parameter data includes: inputting the parameter data into a preset phenomenon relationship knowledge base to obtain the performance relationship between the parameter data and the phenomenon.

[0073] For example, when the isolating switch is closed, arcing and high temperature are seen in the thermal imaging camera image, and a sudden high voltage and large current are generated in the circuit. The isolating switch may not be closed properly, resulting in poor contact of the contacts, thus generating high temperature, high pressure and overcurrent.

[0074] The correlation analysis is performed on a plurality of parameter data, including: inputting the parameter data into a preset correlation relationship knowledge base to obtain the influence relationship between the parameter data of the railway power supply equipment.

[0075] For example, the relationship between the trend of severe weather changes and the number of switch tripping times (the more rainfall, the stronger wind speed, the lower or higher the temperature, the more obvious the upward trend of the switch tripping times).

[0076] The parameter data with any relationship are divided into one category or one group. It can be understood that the parameter data in a group are all related, and when any parameter data in a group changes, it can affect the other parameter data.

[0077] The impact factors are weights used to adjust the importance of each group.

[0078] Regarding step S13, the alarm rules corresponding to each group of parameter data are determined, and several alarm rules are incorporated into the alarm model library.

[0079] Set corresponding alarm rules for each group of parameter data. When the parameter data in a group triggers the alarm rule of the group, an alarm signal is issued. For example, if the current of a certain associated device exceeds 50A for more than 5 minutes, the alarm rule is triggered; the change amount / rate of a certain parameter within a specified period does not exceed the specified range, etc.

[0080] It is understandable that an alarm rule corresponding to a set of parameter data may include several trigger conditions, which may be determined here according to actual conditions.

[0081] In order to expand and supplement the parameter data and improve the probability of successful early warning, it is also possible to: obtain some parameter data of the railway power supply equipment again; build an extended model library based on the some parameter data of the railway power supply equipment obtained again; and expand and supplement some groups of parameter data with the extended model library.

[0082] The parameter data supplemented in the process or the parameter data after analysis are used to establish an extended rule or an extended model library to supplement the parameter data so as to enhance the alarm rules or alarm model library of the power supply equipment.

[0083] Regarding step S14, a number of parameter data to be detected of the railway power supply equipment to be detected are input into the alarm model library to determine whether to issue an alarm signal.

[0084] Several parameter data to be tested of the railway power supply equipment to be tested can be obtained from multiple angles, multiple dimensions and multiple data sources.

[0085] Multi-angle acquisition: Obtain parameter data from different perspectives to avoid the limitations of a single perspective.

[0086] For example, the image recognition results of the robotic arm show that the isolating switch cannot be closed properly; the image recognition results of the opening and closing indicator lights show that it is closed; from the real-time telemetry data acquisition, the infrared temperature measurement shows high temperature, high voltage and overcurrent in the circuit, and the phenomenon is that it cannot be closed properly; from the thermal imaging picture of remote viewing, high temperature, high heat and arcing phenomena appear. Finally, observe and analyze from different perspectives to screen out the correct parameter data.

[0087] Multi-dimensional acquisition: obtain parameter data of different attributes of the same railway power supply equipment, and obtain information presentation forms of railway power supply equipment in different dimensions.

[0088] For example, video or image recognition is the acquisition of the appearance attributes of railway power supply equipment; SCADA is the acquisition of the electrical, mechanical and functional characteristics of power supply equipment; monitoring sensors are the acquisition of the performance attributes of power supply equipment, etc.

[0089] Acquisition of multiple data sources: Acquiring signals with the same meaning from different acquisition channels.

[0090] For example, the on / off status of a disconnector can be obtained from the SCADA system, from the image recognition results of video inspections, or from remote video images. Rich data acquisition channels can avoid blocking a certain channel and causing missed alarms; improve the credibility of the signal and reduce false alarms; and avoid repeated alarms of signals with the same meaning.

[0091] Several parameter data of the railway power supply equipment to be detected are input into the alarm model library to conduct alarm evaluation of the railway power supply equipment to be detected. When the alarm rule is triggered or the alarm condition of the alarm model is met, an alarm signal of the railway power supply equipment to be detected is generated.

[0092] After sending out the alarm signal, the method further includes: reviewing the device corresponding to the alarm signal and storing the snapshot information of the device; and outputting the alarm information of the device to the client of the target user.

[0093] It also includes: conducting cause analysis and adjusting influencing factors and alarm rules based on the results of several reviews, wherein the results of the reviews include whether the alarm is accurate or inaccurate.

[0094] In addition, the railway power supply equipment alarm method based on signal aggregation provided by the present invention can also be referred to Figure 2 .

[0095] In summary, the railway power supply equipment alarm method based on signal aggregation of the present invention includes: obtaining parameter data of the railway power supply equipment, wherein the parameter data of the railway power supply equipment includes parameter data of the railway power supply equipment body, parameter data of the railway power supply equipment parts, parameter data of the auxiliary monitoring equipment and parameter data of the associated equipment, wherein the associated equipment and the railway power supply equipment have a connection relationship in the same power supply network; performing parameter analysis on a number of parameter data to group a number of parameter data, and setting the influencing factors of each group of parameter data, wherein the parameter analysis includes correlation analysis, phenomenon analysis and correlation analysis; determining the alarm rules corresponding to each group of parameter data, and incorporating a number of alarm rules into the alarm model library; inputting a number of parameter data to be detected of the railway power supply equipment to be detected into the alarm model library to determine whether to issue an alarm signal. The present invention jointly constitutes the railway power supply equipment alarm rules or alarm models based on the electrical characteristics, mechanical characteristics, functional characteristics, etc. of the railway power supply equipment itself, as well as various information such as the component composition of the equipment, the auxiliary monitoring sensors, and the status of the associated equipment. According to the parameters gathered from various telesignals, telemetering, etc. from multiple angles, dimensions, and data sources, the influencing factors of each type / group of parameters on the behavioral alarm of railway power supply equipment are estimated, and then input into the alarm model or alarm rules of the power supply equipment, so as to comprehensively evaluate the actual operation status of the power supply equipment, and finally give an effective equipment operation status alarm. Compared with the current mainstream railway power supply equipment alarms, which are all single behavior alarms for the over-limit / state change of a certain parameter of the equipment, the present invention can truly and effectively express or evaluate the operation status of the power supply equipment itself, and is not prone to false alarms, missed alarms, and repeated alarms.

[0096] Based on the same inventive concept, the present invention also provides a railway power supply equipment alarm device based on signal aggregation, the device comprising:

[0097] An acquisition module is used to acquire parameter data of railway power supply equipment, wherein the parameter data of railway power supply equipment includes parameter data of railway power supply equipment body, parameter data of railway power supply equipment parts, parameter data of auxiliary monitoring equipment and parameter data of associated equipment, wherein the associated equipment and the railway power supply equipment are connected in the same power supply network;

[0098] A grouping module is used to perform parameter analysis on a plurality of parameter data, so as to group the plurality of parameter data and set the influencing factors of each group of parameter data, wherein the parameter analysis includes correlation analysis, phenomenon analysis and relevance analysis;

[0099] A model building module is used to determine the alarm rules corresponding to each set of parameter data and incorporate several alarm rules into the alarm model library;

[0100] The judgment module is used to input a number of parameter data to be detected of the railway power supply equipment to be detected into the alarm model library to determine whether to issue an alarm signal.

[0101] Based on the same inventive concept, the present invention also provides an electronic device as shown, including:

[0102] processor;

[0103] a memory for storing processor-executable instructions;

[0104] The processor is configured to execute to implement the railway power supply equipment alarm method based on signal aggregation as provided above.

[0105] Based on the same inventive concept, the present invention also provides a non-temporary computer-readable storage medium. When the instructions in the storage medium are executed by the processor of the electronic device, the electronic device can execute the railway power supply equipment alarm method based on signal aggregation as provided above.

[0106] Since the electronic device introduced in this embodiment is an electronic device used to implement the information processing method in the embodiment of the present invention, based on the information processing method introduced in the embodiment of the present invention, a person skilled in the art can understand the specific implementation of the electronic device of this embodiment and its various variations, so how the electronic device implements the method in the embodiment of the present invention is not described in detail here. As long as the electronic device used by a person skilled in the art to implement the information processing method in the embodiment of the present invention, it belongs to the scope of protection of the present invention.

[0107] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0108] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0109] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0110] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0111] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0112] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A railway power supply equipment alarm method based on signal aggregation, characterized in that: The method comprises: Acquire parameter data of railway power supply equipment, wherein the parameter data of railway power supply equipment includes parameter data of railway power supply equipment body, parameter data of railway power supply equipment parts, parameter data of auxiliary monitoring equipment and parameter data of associated equipment, wherein the associated equipment and railway power supply equipment are connected in the same power supply network; Performing parameter analysis on a plurality of parameter data to group the plurality of parameter data and setting an influencing factor for each group of parameter data, wherein the parameter analysis includes correlation analysis, phenomenon analysis and relevance analysis; Determine the alarm rules corresponding to each set of parameter data, and incorporate several alarm rules into the alarm model library; Several parameter data to be detected of the railway power supply equipment to be detected are input into the alarm model library to determine whether to issue an alarm signal.

2. The railway power supply equipment alarm method based on signal aggregation according to claim 1 is characterized in that: Obtain parameter data of railway power supply equipment, including: According to the electrical characteristics, mechanical characteristics and functional characteristics of the railway power supply equipment, the parameter data of the railway power supply equipment is obtained; According to the composition relationship between the components of the railway power supply equipment, the parameter data of the components of the railway power supply equipment are obtained; Acquiring parameter data of the auxiliary monitoring equipment according to the auxiliary monitoring equipment monitoring the railway power supply equipment; According to the connection relationship between the associated equipment and the railway power supply equipment, the parameter data of the associated equipment is obtained.

3. The railway power supply equipment alarm method based on signal aggregation according to claim 1 is characterized in that: Regarding parameter analysis, including: Conduct correlation analysis on a number of parameter data, including: analyzing the data change relationship between the parameter data according to the logical relationship or physical relationship between the parameter data; or, Performing phenomenon analysis on a number of parameter data, including: inputting the parameter data into a preset phenomenon relationship knowledge base to obtain the performance relationship between the parameter data and the phenomenon; or, The correlation analysis is performed on a plurality of parameter data, including: inputting the parameter data into a preset correlation relationship knowledge base to obtain the influence relationship between the parameter data of the railway power supply equipment.

4. The railway power supply equipment alarm method based on signal aggregation according to claim 1 is characterized in that: Determine the alarm rules corresponding to each set of parameter data, and incorporate several alarm rules into the alarm model library, including: Obtain some parameter data of railway power supply equipment again; Construct an extended model library based on several parameter data of railway power supply equipment acquired again; The extended model library is used to extend and supplement several groups of parameter data.

5. The railway power supply equipment alarm method based on signal aggregation according to claim 1, characterized in that: Inputting a number of parameter data to be detected of the railway power supply equipment to be detected into the alarm model library to determine whether to issue an alarm signal, including: When any alarm rule is triggered by some parameter data of the railway power supply equipment to be detected, an alarm signal is issued.

6. The railway power supply equipment alarm method based on signal aggregation as claimed in claim 5, characterized in that: After the alarm signal is issued, it also includes: Review the device corresponding to the alarm signal and store the alarm snapshot information of the device; Output the alarm information of the device to the client of the target user.

7. The railway power supply equipment alarm method based on signal aggregation according to claim 6 is characterized in that: Also includes The influencing factors and alarm rules are adjusted based on the results of several reviews, where the results of the reviews include whether the alarm is accurate or inaccurate.

8. A railway power supply equipment alarm device based on signal aggregation, characterized in that: The device comprises: An acquisition module is used to acquire parameter data of railway power supply equipment, wherein the parameter data of railway power supply equipment includes parameter data of railway power supply equipment body, parameter data of railway power supply equipment parts, parameter data of auxiliary monitoring equipment and parameter data of associated equipment, wherein the associated equipment and the railway power supply equipment are connected in the same power supply network; A grouping module, used for performing parameter analysis on a plurality of parameter data, so as to group the plurality of parameter data and set an influencing factor for each group of parameter data, wherein the parameter analysis includes correlation analysis, phenomenon analysis and relevance analysis; A model building module is used to determine the alarm rules corresponding to each set of parameter data and incorporate several alarm rules into the alarm model library; The judgment module is used to input a number of parameter data to be detected of the railway power supply equipment to be detected into the alarm model library to determine whether to issue an alarm signal.

9. An electronic device, characterized in that: include: processor; a memory for storing instructions executable by the processor; The processor is configured to execute to implement the railway power supply equipment alarm method based on signal aggregation as described in any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium, characterized in that: When the instructions in the storage medium are executed by the processor of the electronic device, the electronic device is enabled to implement the railway power supply equipment alarm method based on signal aggregation as described in any one of claims 1 to 7.

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