CN106530114A - Power grid equipment monitoring method and system - Google Patents

Abstract

The invention discloses a method and system for monitoring power grid equipment. The method includes: naming a sensor to obtain a unique identification code corresponding to the sensor; decomposing the sensor into at least one logical node; generating an electronic form corresponding to the logical node; The unique identification code of the sensor, at least one logical node and its corresponding electronic form generate a corresponding abstract data model; the sensor obtains the corresponding logical node parameters, and generates a detection data table according to the abstract data model; the sensor sends the detection data table to Application system; associate the grid equipment with the sensors installed on it to obtain an association table; the application system obtains the logical node parameters in the detection data table, and judges whether the logical node parameters are normal; if not, obtains according to the association table Corresponding grid equipment and prompt. Use the abstract data model to upload the detection data table to realize the intelligent unified monitoring and management of sensor data.

Description

Grid equipment monitoring method and system

technical field

The invention relates to the technical field of data management, in particular to a method and system for monitoring power grid equipment.

Background technique

At present, in order to realize the automation and intelligence of power grid equipment operation management and provide users with more reliable, safe and high-quality power, based on the Internet of Things technology, through the installation of relevant sensor devices, the low-voltage side load of transformers, equipment temperature, and switch status are realized. Real-time monitoring and remote transmission, etc., to realize fault warning and alarm for power grid operation equipment. However, due to the wide variety of sensors and the various information such as the identification, semantics, data expression formats, and communication interfaces of each sensor, it is not easy for each application system in the power Internet of Things to replace sensors and the complexity of software development is high. The data uploaded by the sensors of various manufacturers is managed in a unified manner; with the popularization of power Internet of Things applications, this issue will become more and more important.

Contents of the invention

The technical problem to be solved by the present invention is to provide a monitoring method and system for power grid equipment to realize intelligent unified monitoring and management of sensor data.

In order to solve the above technical problems, the technical solution adopted in the present invention is: a method for monitoring power grid equipment, comprising:

Naming the sensor according to a preset naming rule to obtain a unique identification code corresponding to the sensor;

According to the application function of the sensor, decompose the sensor into at least one logical node;

Generating an electronic form corresponding to the logical node according to a preset data expression format, the electronic form including sensor information and logical node information;

Generate a corresponding abstract data model according to the unique identification code of the sensor, the at least one logical node and its corresponding electronic form;

The sensor obtains the corresponding logical node parameters, and generates a detection data table according to the abstract data model;

The sensor sends the detection data table to the aggregation controller through the monitoring device;

The aggregation controller sends the detection data table to the application system through the gateway;

Associate the grid equipment with the sensors installed on it, obtain the association table, and store it in the application system;

The application system obtains the logical node parameters in the detection data table, and judges whether the logical node parameters are normal;

If it is not normal, according to the association table, obtain the grid equipment corresponding to the sensor corresponding to the detection data table, and give a prompt.

The present invention also relates to a power grid equipment monitoring system, comprising:

A naming module, configured to name the sensor according to a preset naming rule, and obtain a unique identification code corresponding to the sensor;

A decomposition module, configured to decompose the sensor into at least one logical node according to the application function of the sensor;

A first generating module, configured to generate an electronic form corresponding to the logical node according to a preset data expression format, the electronic form including sensor information and logical node information;

The second generation module is used to generate a corresponding abstract data model according to the unique identification code of the sensor, the at least one logical node and its corresponding electronic form;

The third generating module is used for the sensor to obtain corresponding logical node parameters, and generate a detection data table according to the abstract data model;

The first sending module is used for the sensor to send the detection data table to the aggregation controller through the monitoring device;

The second sending module is used for the aggregation controller to send the detection data table to the application system through the gateway;

The association module is used to associate the grid equipment with the sensors installed on it, obtain an association table, and store it in the application system;

A judging module, used for the application system to obtain the logical node parameters in the detection data table, and judge whether the logical node parameters are normal;

The prompting module is configured to obtain, according to the association table, the power grid equipment corresponding to the sensor corresponding to the detection data table if it is abnormal, and give a prompt.

The beneficial effect of the present invention is that: through preset naming rules, each sensor has a corresponding unique identification code; by constructing an abstract data model corresponding to the sensor one-to-one, the unique identification code of the sensor and the sensor Each application function; upload parameter data by using the abstract data model, and the application system can manage the data of each sensor according to the abstract data model; improve the standard uniformity between the data of the power Internet of Things, and facilitate the application system to the sensor The data is managed in a unified manner, and it is convenient to perform fast, accurate and efficient fault judgments, early warnings and alarms according to the unified and standardized parameter data; at the same time, it eliminates the data differences caused by factors such as manufacturers and models, which is convenient The replacement of the sensor reduces the difficulty of development.

Description of drawings

Fig. 1 is the flow chart of embodiment one of the present invention;

FIG. 2 is a schematic diagram of an abstract data model in Embodiment 1 of the present invention;

FIG. 3 is a flowchart of step S1 of the second embodiment of the present invention;

FIG. 4 is a flowchart of step S7 of the second embodiment of the present invention;

Fig. 5 is a schematic structural diagram of a grid equipment monitoring system of the present invention;

FIG. 6 is a schematic diagram of the system structure of Embodiment 3 of the present invention.

Label description:

1. Naming module; 2. Decomposition module; 3. First generating module; 4. Second generating module; 5. Third generating module; 6. First sending module; 7. Second sending module; 8. Associated module; 9. Judgment module; 10. Prompt module; 11. Escape module;

101. Division unit; 102. First allocation unit; 103. Second allocation unit; 104. Obtaining unit;

701. A converting unit; 702. A checking unit; 703. A sending unit.

detailed description

In order to describe the technical content, achieved goals and effects of the present invention in detail, the following will be described in detail in conjunction with the implementation and accompanying drawings.

The most critical idea of the present invention is to upload data by using the abstract data model, so that the application system can obtain unified and standardized data, thereby realizing fast and efficient fault judgment.

Glossary:

Internet of Things (Internet of Things): refers to the deployment of various devices with certain perception, calculation, execution and communication capabilities to obtain information in the physical world or control objects in the physical world, and to realize information transmission and collaboration through the network. and processing, so as to realize the network of communication between people and things, and between things and things.

Application system: refers to a computer system that can access various types of power system status monitoring information based on the Internet of Things, and perform centralized storage, unified processing and application. The application system includes unified access gateway, centralized database, data service, data processing and various state monitoring application function modules.

Unified Acquisition Gateway (Unified Acquisition Gateway): a gateway, a gateway device deployed on the main station system side, can remotely connect to the aggregation controller or monitoring agent in a standard way, and obtain and verify various states sent by the aggregation controller A computer that monitors information and controls the aggregation controller.

Convergence Controller (Acquisition Controller): Deployed in the power distribution line link, it can be connected to monitoring devices of different types, different manufacturers or even on different lines, so as to realize the standardized access, safe access and monitoring of various monitoring devices in the power distribution link. Intelligent access realizes the proxy function of monitoring device data access.

Monitoring Devices: refers to a kind of data collection, monitoring device that is installed near or on the monitored object, can automatically collect and process the status data of the monitored object, and can exchange information with the integrated monitoring unit or aggregation controller. processing and communication devices. The monitoring device can also send control instructions to the data acquisition unit (sensor).

Sensor (Sensor): A device or device that can sense a specified measured object and convert it into a usable signal according to certain rules, usually consisting of a sensitive element and a conversion element. A sensor is a detection device that can feel the measured information, and can convert the detected information into electrical signals or other required forms of information output according to certain rules, so as to meet the needs of information transmission, processing, storage, display, recording and control requirements. It is the first link to realize automatic detection and automatic control.

Common Information Model (Common Information Model): It is an abstract model that describes all the main objects of the power enterprise, especially those related to power operation. The Common Information Model facilitates the integration of different power business systems by providing a standard way of representing power system resources with object classes and attributes and the relationships between them. The public information model specification is defined by the Unified Modeling Language (UML), and models in various other formats can be defined and generated based on the UML model, such as the RDF (Resource Description Framework) schema version, and XML is used to describe the power system model, which is mainly used in various Data exchange between systems.

Please refer to Figure 1, a grid equipment monitoring method, including:

Naming the sensor according to a preset naming rule to obtain a unique identification code corresponding to the sensor;

According to the application function of the sensor, decompose the sensor into at least one logical node;

Generating an electronic form corresponding to the logical node according to a preset data expression format, the electronic form including sensor information and logical node information;

Generate a corresponding abstract data model according to the unique identification code of the sensor, the at least one logical node and its corresponding electronic form;

The sensor obtains the corresponding logical node parameters, and generates a detection data table according to the abstract data model;

The sensor sends the detection data table to the aggregation controller through the monitoring device;

The aggregation controller sends the detection data table to the application system through the gateway;

Associate the grid equipment with the sensors installed on it, obtain the association table, and store it in the application system;

The application system obtains the logical node parameters in the detection data table, and judges whether the logical node parameters are normal;

If it is not normal, according to the association table, obtain the grid equipment corresponding to the sensor corresponding to the detection data table, and give a prompt.

From the above description, it can be seen that the beneficial effect of the present invention is that the sensor uploads the detection data table according to the abstract data model, so that the application system can realize the intelligent unified monitoring and management of the sensor data.

Further, the "name the sensor according to the preset naming rules to obtain the unique identification code corresponding to the sensor" is specifically:

Divide the sensors according to their substations or machine rooms to obtain information island clusters;

allocating a first identification code to each information island in the information island cluster;

assigning a second identification code to the sensor in the information island;

According to the first identification code and the second identification code, a unique identification code corresponding to the sensor is obtained.

It can be seen from the above description that the uniqueness of each sensor identification code in each information island is guaranteed through top-down naming, and the complexity of naming and coding is reduced.

Further, according to the parameter type acquired by the sensor, the sensor is decomposed to obtain at least one logical node, wherein one logical node corresponds to one parameter type.

It can be seen from the above description that the application function of the sensor is decomposed into the smallest entity exchanging information with it, that is, the smallest functional module, so as to classify and divide the parameters acquired by each functional module.

Further, the "convergence controller sends the detection data table to the application system through the gateway" is specifically:

The aggregation controller converts the detection data table into CIM XML format, and sends it to the gateway;

The gateway checks the detection data table;

The gateway sends the qualified detection data table to the application system.

It can be seen from the above description that the establishment of Extensible Markup Language (XML) based on Common Information Model (CIM) can not only realize high-efficiency data exchange, but also facilitate the expansion of the system model.

Further, after the "convergence controller sends the detection data table to the application system through the gateway", it further includes:

The application system converts the data in the detection data table into identifiable data and saves it.

It can be seen from the above description that by escaping the data, relevant personnel in the power grid can also view the data uploaded by the sensor through the application system.

Please refer to Fig. 5, the present invention also proposes a grid equipment monitoring system, including:

A naming module, configured to name the sensor according to a preset naming rule, and obtain a unique identification code corresponding to the sensor;

A decomposition module, configured to decompose the sensor into at least one logical node according to the application function of the sensor;

A first generating module, configured to generate an electronic form corresponding to the logical node according to a preset data expression format, the electronic form including sensor information and logical node information;

The second generation module is used to generate a corresponding abstract data model according to the unique identification code of the sensor, the at least one logical node and its corresponding electronic form;

The third generating module is used for the sensor to obtain corresponding logical node parameters, and generate a detection data table according to the abstract data model;

The first sending module is used for the sensor to send the detection data table to the aggregation controller through the monitoring device;

The second sending module is used for the aggregation controller to send the detection data table to the application system through the gateway;

The association module is used to associate the grid equipment with the sensors installed on it, obtain an association table, and store it in the application system;

A judging module, used for the application system to obtain the logical node parameters in the detection data table, and judge whether the logical node parameters are normal;

The prompting module is configured to obtain, according to the association table, the power grid equipment corresponding to the sensor corresponding to the detection data table if it is abnormal, and give a prompt.

Further, the naming module includes:

The dividing unit is used to divide the sensor according to the substation or machine room to which it belongs, to obtain the information island cluster;

a first allocation unit, configured to allocate a first identification code to each information island in the information island cluster;

a second allocation unit, configured to allocate a second identification code to the sensors in the information island;

The obtaining unit is configured to obtain a unique identification code corresponding to the sensor according to the first identification code and the second identification code.

Further, the decomposing module is specifically configured to decompose the sensor according to the parameter type acquired by the sensor to obtain at least one logical node, wherein one logical node corresponds to one parameter type.

Further, the second sending module includes:

The conversion unit is used for the aggregation controller to convert the detection data table into CIM XML format and send it to the gateway;

A verification unit, used for the gateway to verify the detection data table;

The sending unit is used for the gateway to send the verified detection data table to the application system.

Further, it also includes:

The escaping module is used for the application system to escaping the data in the detection data table into recognizable data and saving them.

Embodiment one

Please refer to Fig. 1, Embodiment 1 of the present invention is: a grid equipment monitoring method, which can be applied to the Internet of Things, based on a bottom-up grid architecture consisting of sensors, monitoring devices, aggregation controllers, gateways, and application systems. Among them, the sensor is installed on the grid equipment, collects the relevant information of the grid equipment, and sends it to the application system through the monitoring device, the convergence controller, and the gateway in turn;

The method comprises the steps of:

S1: Name the sensor according to a preset naming rule, and obtain a unique identification code corresponding to the sensor.

S2: According to the application function of the sensor, decompose the sensor into at least one logical node; that is, according to the parameter type obtained by the sensor, decompose the sensor to obtain at least one logical node, wherein one logical node corresponds to one parameter type.

S3: According to the preset data expression format, generate an electronic form corresponding to the logical node, the electronic form includes sensor information and logical node information; sensor information may include manufacturer number, sensor type number, etc., and logical node information may include A logical node number, where the logical node number may be a corresponding sensor number of the logical node.

S4: Generate a corresponding abstract data model according to the unique identification code of the sensor, the at least one logical node and its corresponding electronic form.

S5: The sensor obtains corresponding logical node parameters, and generates a detection data table according to the abstract data model.

S6: The sensor sends the detection data table to the aggregation controller through the monitoring device. Further, the sensor reports the detection data table at a preset frequency, for example, 15 minutes; if an abnormal situation occurs, the reporting frequency is increased, such as sending the detection data table every 1 minute.

S7: The aggregation controller sends the detection data table to the application system through the gateway. Preferably, after receiving the detection data table, the application system converts the data in the detection data table into identifiable data and saves them; for example, if the data in the detection data table is in hexadecimal, then the It is defined as decimal, so that relevant personnel of the power grid can also view the data uploaded by the sensor through the application system.

S8: Associating the grid equipment with the sensors installed on it to obtain an association table and store it in the application system; the unique identifier of the grid equipment can be associated with the unique identification code of the sensor.

S9: The application system obtains the logical node parameters in the detection data table, and judges whether the logical node parameters are normal, and if not, executes step S10. The logical node parameter can be compared with a preset threshold range, and if it exceeds the threshold range, it is abnormal.

S10: Obtain, according to the association table, the power grid equipment corresponding to the sensor corresponding to the detection data table, and give a prompt.

Preferably, before step S1, a unified semantics is preset so that the nodes communicate with the upper layer using the same language. Specifically, relevant international standards or practices should be followed when describing specific physical quantities, that is, using the English word pair corresponding to the physical quantity It describes.

Regarding the abstract data model, specifically, as shown in FIG. 2 , the abstract data model of the sensor mainly consists of three parts: logical devices, logical nodes and data objects. Among them, the logic device (LD) represents various sensors in the real world. A logical node (LN) represents the smallest functional module of a sensor. A data object (DO) is a data description of a logical node. A logical device can have multiple logical nodes, and a logical node can be described by a data object.

A sensor can generally measure multiple physical parameters, and one physical parameter corresponds to one logical node. For example, for the arrester leakage current monitoring sensor, it includes logic nodes such as CM (current detection), VM (voltage detection), HM (harmonic detection), CO (counter), TP (temperature), HU (humidity), among which, CM is used to monitor the current information of grid equipment, VM is used to monitor the voltage information of grid equipment, HM is used to monitor the harmonic information of grid equipment, CO is used to monitor the operation times of grid equipment, and TP is used to monitor the operating temperature of grid equipment Information, the HU is used to monitor the environmental humidity information during the operation of the power grid equipment. Of course, there are also single-function sensors that only measure one physical parameter, such as a temperature sensor, which includes a logical node TP for monitoring the operating temperature information of grid equipment. At the same time, the logical nodes can be common, for example, the application function of measuring temperature in the sensor all corresponds to the logical node TP.

One data object corresponds to one sensor spreadsheet. The address and function of the sensor can be described by the sensor spreadsheet. Transducer electronic form (TEDS) consists of three parts: basic TEDS, real-time TEDS and user open area. The basic TEDS consists of manufacturer number, sensor type number, logical node type number, and equipment serial number. The basic TEDS consists of 64 bits, which can uniquely identify each logical node. Fill in the 64bits basic TEDS data to the lower 64bits of the sensor uniform identification. The sensor only needs 64bits (16 bytes of hexadecimal number) when it leaves the factory. If necessary, another part of the sensor uniform identification is loaded on the aggregation controller by means of mapping or the like. For example, information such as provincial network companies, prefecture and city companies. Real-time TEDS is used to record logical node parameters, and further, it can also record the measurement range and measurement error of parameters. The user open area is used for grid related personnel to fill in relevant remarks, and it can also be empty. That is to say, the sensor fills the detected logical node parameters into the real-time TEDS of the electronic form of the corresponding logical node in the abstract information model to obtain the detected data table.

For example, for the logical node TP of temperature, its electronic form is shown in Table 1; among them, the manufacturer number is 1, the sensor type number is 05, the logical node type number is 28, the equipment serial number is 149087, and the measurement range is -40°C To +80°C, the measurement error is ±0.5°C, the current measured temperature value is 25°C, the sensor data collection time is 2013-06-09 14:23, the current status of the sensor is 1 (1 means online, 0 means offline ), the battery capacity is 80%.

Table 1

In this embodiment, the abstract data model is used to upload parameter data, and the application system can manage the data of each sensor according to the abstract data model; the standard uniformity among the data of the electric power Internet of Things is improved, and it is convenient for the application system to process the sensor data Unified management, and it is convenient to perform fast, accurate and efficient fault judgment, early warning and alarm according to the parameter data after unified specification; at the same time, it eliminates the data differences caused by factors such as manufacturers and models, and facilitates the sensor Replacement reduces the difficulty of development.

Embodiment two

This embodiment is a further extension of steps S1 and S7 in the first embodiment.

Please refer to Fig. 3, step S1 specifically includes the following steps:

S101: Divide the sensors according to their substations or computer rooms to obtain information island clusters; that is, a substation or a computer room is an information island, sensors installed on a substation or in a computer room, and sensors installed in the substation or the computer room The sensors on the subordinate grid equipment divide these sensors belonging to a substation or a machine room into a collection, that is, an information island cluster.

S102: Allocate a first identification code to each information island in the information island cluster.

S103: Allocate a second identification code to the sensor in the information island.

S104: Obtain a unique identification code corresponding to the sensor according to the first identification code and the second identification code.

The first identification codes of each information island are different, and the second identification codes of each sensor in an information island are different, but the second identification codes of sensors in different information islands can be consistent, thus, top-down The naming ensures the uniqueness of each sensor identification code in each information island, and reduces the complexity of naming and encoding.

Please refer to Fig. 4, step S7 specifically includes the following steps:

S701: The convergence controller converts the detection data table into a CIM XML format, and sends it to the gateway. CIM stands for Common Information Model.

S702: The gateway verifies the detection data table.

S703: the gateway sends the verified detection data table to the application system.

Establishing an Extensible Markup Language (XML) based on the Common Information Model (CIM) can not only realize high-efficiency data exchange, but also facilitate the expansion of the system model. The establishment method of the model is to expand the switch/node model into a bus/branch model, and then describe it in the form of Common Information Model/Extensible Markup Language (CIM/XML).

Embodiment Three

Please refer to Figure 6, this embodiment is a grid equipment monitoring system corresponding to the above embodiments, including:

Naming module 1, configured to name the sensor according to a preset naming rule, and obtain a unique identification code corresponding to the sensor;

Decomposition module 2, configured to decompose the sensor into at least one logical node according to the application function of the sensor;

The first generation module 3 is used to generate an electronic form corresponding to the logical node according to a preset data expression format, and the electronic form includes sensor information and logical node information;

The second generation module 4 is used to generate a corresponding abstract data model according to the unique identification code of the sensor, the at least one logical node and its corresponding electronic form;

The third generating module 5 is used for the sensor to obtain corresponding logical node parameters, and generate a detection data table according to the abstract data model;

The first sending module 6 is used for the sensor to send the detection data table to the aggregation controller through the monitoring device;

The second sending module 7 is used for the aggregation controller to send the detection data table to the application system through the gateway;

An association module 8, configured to associate the grid equipment with the sensors installed thereon, obtain an association table, and store it in the application system;

Judgment module 9, used for the application system to obtain the logical node parameters in the detection data table, and judge whether the logical node parameters are normal;

The prompting module 10 is configured to obtain, according to the association table, the power grid equipment corresponding to the sensor corresponding to the detection data table if it is abnormal, and give a prompt.

Further, the naming module 1 includes:

The dividing unit 101 is used to divide the sensors according to the substations or machine rooms to which they belong, to obtain information island clusters;

A first allocation unit 102, configured to allocate a first identification code to each information island in the information island cluster;

The second allocation unit 103 is configured to allocate a second identification code to the sensors in the information island;

The obtaining unit 104 is configured to obtain a unique identification code corresponding to the sensor according to the first identification code and the second identification code.

Further, the decomposing module 2 is specifically configured to decompose the sensor according to the parameter type acquired by the sensor to obtain at least one logical node, wherein one logical node corresponds to one parameter type.

Further, the second sending module 7 includes:

The conversion unit 701 is used for the aggregation controller to convert the detection data table into CIM XML format and send it to the gateway;

A verification unit 702, configured for the gateway to verify the detection data table;

The sending unit 703 is used for the gateway to send the verified detection data table to the application system.

Further, it also includes:

The escape module 11 is used for the application system to translate the data in the detection data table into recognizable data and store them.

To sum up, the present invention provides a grid equipment monitoring method and its system, through preset naming rules, so that each sensor has a corresponding unique identification code; at the same time, through top-down naming, ensure The uniqueness of each sensor identification code in each information island is reduced, and the complexity of the naming code is reduced; the unique identification code of the sensor and each application function of the sensor are clearly described by constructing an abstract data model corresponding to the sensor one by one; Utilize the abstract data model to upload parameter data, and the application system can manage the data of each sensor according to the abstract data model; improve the standard uniformity between the data of the power Internet of Things, and facilitate the unified management of the sensor data by the application system, And it is convenient to quickly, accurately, and efficiently judge faults based on the unified and standardized parameter data, and carry out early warning and alarm; at the same time, it eliminates the data differences caused by factors such as manufacturers and models, which facilitates the replacement of sensors and reduces development difficulty.

The above is only an embodiment of the present invention, and does not limit the patent scope of the present invention. All equivalent transformations made by using the description of the present invention and the contents of the accompanying drawings, or directly or indirectly used in related technical fields, are all included in the same principle. Within the scope of patent protection of the present invention.

Claims (10)

1. A power grid equipment monitoring method, characterized in that, comprising: Naming the sensor according to a preset naming rule to obtain a unique identification code corresponding to the sensor; According to the application function of the sensor, decompose the sensor into at least one logical node; Generating an electronic form corresponding to the logical node according to a preset data expression format, the electronic form including sensor information and logical node information; Generate a corresponding abstract data model according to the unique identification code of the sensor, the at least one logical node and its corresponding electronic form; The sensor obtains the corresponding logical node parameters, and generates a detection data table according to the abstract data model; The sensor sends the detection data table to the aggregation controller through the monitoring device; The aggregation controller sends the detection data table to the application system through the gateway; Associate the grid equipment with the sensors installed on it, obtain the association table, and store it in the application system; The application system obtains the logical node parameters in the detection data table, and judges whether the logical node parameters are normal; If it is not normal, according to the association table, obtain the grid equipment corresponding to the sensor corresponding to the detection data table, and give a prompt. 2. The grid equipment monitoring method according to claim 1, characterized in that the "according to the preset naming rules, name the sensor to obtain the unique identification code corresponding to the sensor" is specifically: Divide the sensors according to their substations or machine rooms to obtain information island clusters; allocating a first identification code to each information island in the information island cluster; assigning a second identification code to the sensor in the information island; According to the first identification code and the second identification code, a unique identification code corresponding to the sensor is obtained. 3. The grid equipment monitoring method according to claim 1, wherein the "decomposing the sensor into at least one logical node according to the application function of the sensor" is specifically: According to the parameter type acquired by the sensor, the sensor is decomposed to obtain at least one logical node, wherein one logical node corresponds to one parameter type. 4. The power grid equipment monitoring method according to claim 1, characterized in that, the "convergence controller sends the detection data table to the application system through the gateway" is specifically: The convergence controller converts the detection data table into CIM XML format, and sends it to the gateway; The gateway checks the detection data table; The gateway sends the qualified detection data table to the application system. 5. The grid equipment monitoring method according to claim 1, characterized in that, after the "convergence controller sends the detection data table to the application system through the gateway", it further includes: The application system converts the data in the detection data table into identifiable data and saves it. 6. A power grid equipment monitoring system, characterized in that it comprises: A naming module, configured to name the sensor according to a preset naming rule, and obtain a unique identification code corresponding to the sensor; A decomposition module, configured to decompose the sensor into at least one logical node according to the application function of the sensor; A first generating module, configured to generate an electronic form corresponding to the logical node according to a preset data expression format, the electronic form including sensor information and logical node information; The second generation module is used to generate a corresponding abstract data model according to the unique identification code of the sensor, the at least one logical node and its corresponding electronic form; The third generating module is used for the sensor to obtain corresponding logical node parameters, and generate a detection data table according to the abstract data model; The first sending module is used for the sensor to send the detection data table to the aggregation controller through the monitoring device; The second sending module is used for the aggregation controller to send the detection data table to the application system through the gateway; The association module is used to associate the grid equipment with the sensors installed on it, obtain an association table, and store it in the application system; A judging module, used for the application system to obtain the logical node parameters in the detection data table, and judge whether the logical node parameters are normal; The prompting module is configured to obtain, according to the association table, the power grid equipment corresponding to the sensor corresponding to the detection data table if it is abnormal, and give a prompt. 7. The grid equipment monitoring system according to claim 6, wherein the naming module comprises: The dividing unit is used to divide the sensor according to the substation or machine room to which it belongs, to obtain the information island cluster; a first allocation unit, configured to allocate a first identification code to each information island in the information island cluster; a second allocation unit, configured to allocate a second identification code to the sensors in the information island; The obtaining unit is configured to obtain a unique identification code corresponding to the sensor according to the first identification code and the second identification code. 8. The power grid equipment monitoring system according to claim 6, wherein the decomposition module is specifically configured to decompose the sensor according to the type of parameters acquired by the sensor to obtain at least one logical node, wherein one logical node Corresponds to a parameter type. 9. The power grid equipment monitoring system according to claim 6, wherein the second sending module comprises: The conversion unit is used for the aggregation controller to convert the detection data table into CIM XML format and send it to the gateway; A verification unit, used for the gateway to verify the detection data table; The sending unit is used for the gateway to send the verified detection data table to the application system. 10. The grid equipment monitoring system according to claim 6, further comprising: The escaping module is used for the application system to escaping the data in the detection data table into recognizable data and saving them.