CN115047281A

CN115047281A - Intelligent detection system of power grid secondary equipment

Info

Publication number: CN115047281A
Application number: CN202210961635.2A
Authority: CN
Inventors: 郭国伟; 陆志欣; 陈健卯; 刘鹏祥; 陈法文; 廖奉怡; 马科; 杨健
Original assignee: GUANGDONG HUIYING ELECTRIC POWER ENGINEERING CO LTD; Foshan Power Supply Bureau of Guangdong Power Grid Corp
Current assignee: GUANGDONG HUIYING ELECTRIC POWER ENGINEERING CO LTD; Foshan Power Supply Bureau of Guangdong Power Grid Corp
Priority date: 2022-08-11
Filing date: 2022-08-11
Publication date: 2022-09-13
Anticipated expiration: 2042-08-11
Also published as: CN115047281B

Abstract

The invention belongs to the field of power grid detection, and particularly relates to an intelligent detection system for power grid secondary equipment, which comprises a plurality of detection devices respectively positioned in a plurality of intelligent substations, wherein each detection device respectively comprises: the IO module is used for collecting data information of the secondary equipment in a first detection period; and the processing module is used for controlling the data acquisition of the IO module and sending the acquired information of the IO module to the cloud after processing. According to the invention, the processing module is at least one virtual machine deployed on a corresponding detection device, wherein the type of the secondary equipment to be detected is determined by the corresponding detection device according to data information of the secondary equipment to be detected, which is acquired by an IO module of the corresponding detection device, and the processing module loads an operating environment from a cloud according to the type of the secondary equipment to be detected, which is correspondingly determined, and the operating environment is used for initializing the virtual machine for the secondary equipment to be detected.

Description

Intelligent detection system of power grid secondary equipment

Technical Field

The invention relates to the field of power grid detection, in particular to an intelligent detection system for power grid secondary equipment.

Background

The Chinese patent application with the publication number of CN103309779A discloses a method for detecting the state of secondary equipment of an intelligent substation, which comprises the following steps: the method comprises the steps of firstly configuring corresponding equipment detection schemes for various types of secondary equipment, writing detection scheme codes corresponding to the various types of secondary equipment, then generating executable binary operation intermediate codes for the detection scheme codes, reading the binary intermediate codes of the equipment detection schemes corresponding to the types of the secondary equipment when detection is carried out, operating the binary intermediate codes on a virtual machine to obtain detection values of the secondary equipment, and judging the operation states of the secondary equipment by an intelligent substation automation system according to the detection values.

The prior art aims at providing personalized detection schemes for various secondary devices, and binary intermediate codes for the detection schemes are operated on a virtual machine by adopting a full-simulation operation environment; after the binary intermediate code is executed by combining secondary equipment operation data acquired from an intelligent substation automation system, reading an operation result from a virtual machine in real time to obtain a detection value of corresponding secondary equipment; and the intelligent substation automation system judges the running state of each secondary device according to the detection value by sending the detection value to the intelligent substation automation system. According to the invention, the instruction provided by the virtual machine comprises a special instruction for acquiring the operation data of the secondary equipment besides the basic instruction, and the virtual machine can acquire the real-time operation data and the historical operation data of the secondary equipment in the detection of the state of the secondary equipment through the special instruction. However, the virtual machine according to the prior art is not directly used for detecting the state of the secondary device of the intelligent substation, but indirectly obtains the operation data of the secondary device from the intelligent substation automation system to simulate the detection value of the secondary device to be detected, and the detection values simulated by the virtual machine are not directly used for judging the state of the secondary device, but are handed to the intelligent substation automation system to determine the state. In other words, the deployment is substantially only that the secondary device to be tested is simulated by the virtual machine in the intelligent substation automation system. Although real-time performance can be guaranteed, when interference or fluctuation exists in secondary equipment operation data acquired in an intelligent substation automation system, a simulation result of the system is difficult to convince, still needs a large amount of manual intervention, and often cannot be truly deployed due to excessive 'false alarms'.

The Chinese patent application with the publication number of CN110927503A provides a method, a device and a system for detecting secondary equipment of an intelligent station. The method comprises the steps of receiving test item information issued by a cloud platform; classifying the test item information according to the sampling types, and sending the test item information to each corresponding input/output module according to the classification result; generating sine wave output or switching value output with a set sampling rate according to the test item information; and acquiring sampling data information of the secondary equipment to be detected according to sine wave output or switching value output.

The prior art provides a method for detecting parameters of such secondary equipment regularly in a mode of presetting a detection period and outputting a detection result, but does not consider that some electronic components of the secondary equipment need to be analyzed distinctively and apply corresponding adjusting means when the secondary equipment is abnormal, and the detection frequency of the secondary equipment with abnormal conditions needs to be adjusted to ensure the recovery of the abnormal conditions, namely the detection frequency of a detection device needs to be adjusted in real time based on the conditions of the secondary equipment instead of measuring the state of the secondary equipment by using data in a single measurement period, the definition of information to be detected is fuzzy, items to be detected are not explained, corresponding detection methods are not established for different detection items, and the simultaneous measurement of a plurality of items to be detected cannot be achieved, the practicability is poor. The cloud platform adopted by the patent is only used for issuing test item information and receiving test results from the secondary equipment detection device, so that the test results are sent to a user of the mobile terminal or analyzed as necessary, and the user can conveniently and flexibly check test conclusions given by the secondary equipment detection device.

In addition, the technical solution "described in chinese patent application publication No. CN 103309779A" includes: the real-time operation data function is used for acquiring real-time operation data from the intelligent substation automation system, and the historical data function is used for acquiring historical operation data from the intelligent substation automation system. "it can be seen that, although the virtual machine proposed in this comparison document can obtain real-time operation data and historical operation data of the secondary device, both of them are because the virtual machine is deployed in the intelligent substation automation system, and therefore it can only draw experience from the real-time operation data and historical operation data of the deployed substation, but cannot timely improve the secondary device detection of more intelligent substations in a wider range.

Disclosure of Invention

In order to solve at least some of the above disadvantages in the prior art, according to a first aspect of the present invention, the present application provides an intelligent detection system for a power grid secondary device, including a plurality of detection devices respectively located in a plurality of intelligent substations, wherein each detection device respectively includes: the IO module is used for collecting data information of the secondary equipment in a first detection period; and the processing module is used for controlling the data acquisition of the IO module and sending the acquired information of the IO module to the cloud after processing. According to the invention, the processing module is at least one virtual machine deployed on the corresponding detection device, wherein the type of the secondary equipment to be detected is determined by the corresponding detection device according to the data information of the secondary equipment to be detected, which is acquired by the IO module of the corresponding detection device, the processing module loads the operating environment from the cloud according to the type of the secondary equipment to be detected, which is correspondingly determined, and the operating environment is used for initializing the virtual machine for the secondary equipment to be detected.

In the intelligent detection system according to the first aspect of the present invention, the processing module may mark the received data information as abnormal information of different levels, and send the abnormal information to the cloud, and the cloud adjusts the duration of the first detection period based on the abnormal information so as to change the detection frequency of the IO module, where the data information may include basic information, operation information, test detection data, a historical repair report, and/or reference information of a device of the same type of the corresponding to-be-detected secondary device.

The first detection cycle is in an initial state, for example set to start timing in response to connection of the secondary device under test, which in the simplest case may be performed only once, for determining the model, version and wiring form of the secondary device under test and the protection requirements; preferably repeatedly at intervals. Considering that the same secondary equipment to be detected deployed in different intelligent substations can be set with different first detection periods for different situations, so that a plurality of secondary equipment to be detected can be detected in parallel by means of a small number of detection devices, wherein the first detection period can be based on abnormal information to automatically set the first detection period of the secondary equipment to be detected. This is so because "initiating detection in response to a connection of a secondary device under test" is likely to result in erroneous or disturbed data that requires multiple sampling of the data to determine its authenticity and stability. Some secondary devices to be checked output some untrusted data probably first after being wired, and the cloud end can learn the characteristics, and the duration of the first detection period is set specifically by means of the untrusted data transmission interval.

In the intelligent detection system according to the first aspect of the present invention, the plurality of detection devices respectively located at the plurality of intelligent substations are interacted with each other in a sensitive data isolation manner through the cloud.

The sensitive data comprises the geographic position, the IP address and the like of the intelligent substation, and the access of the data needs higher-level authority and is higher than the administrator authority of the virtual machine software system. The intelligent substation belongs to the infrastructure with higher security level, and sensitive data of the intelligent substation are not suitable for being stored in the cloud. In the invention, a plurality of intelligent detection systems can be simultaneously connected to the same cloud end in parallel, and when the data of the respective detection devices are uploaded, the respective sensitive data can be hidden, and the respective sensitive data and the detection data are respectively stored in independent databases with different security levels.

In the intelligent detection system according to the first aspect of the present invention, the intelligent detection system further includes an interface module, an IO module of each detection apparatus is connected to the secondary device to be detected through the interface module, the interface module may include a relay and a photoelectric switching unit, the IO module includes a current unit, a voltage unit, and a switch unit, wherein the relay is configured to connect the secondary device to be detected to the current unit, the voltage unit, and the switch unit in the IO module, and the photoelectric switching unit is configured to connect the secondary device to be detected to a digital unit in the IO module.

Although the prior art is already provided with detection devices equipped with an optical interface and an electrical interface, in the present invention, these interfaces, when performing the detection of the first detection cycle, may first read the signal of the optical-electrical switching unit, which often characteristically gives a signal corresponding to the model of each detection device; in other words, in the present invention, the type of the secondary device to be tested may be determined by the corresponding detection device according to the data information of the secondary device to be tested, which is collected by the optical interface, or may be determined by the signal collected by the relay, and it is also conceivable that the signals respectively collected by the optical interface and the relay are jointly determined; under the condition that the automatic measures are not effective, the automatic measures can be manually input into the detection device and then sent to the cloud. Under the condition of manual entry, the cloud end stores the model of the secondary equipment to be detected and typical values of a relay and a photoelectric exchange unit in a correlated mode, wherein the typical measured value and information such as the model and the version of the secondary equipment to be detected are stored in a secondary equipment database of the cloud end in a correlated mode for future calling.

In the intelligent detection system according to the first aspect of the present invention, a plurality of detection devices respectively located in a plurality of intelligent substations are provided with IO modules and processing modules that are identical to each other, wherein the processing modules of the detection devices respectively determine the type of secondary equipment to be detected according to data acquired by their own IO modules, and load an operating environment from a same cloud according to the correspondingly determined type of secondary equipment to be detected, the operating environment being used to initialize virtual machines for the same secondary equipment to be detected, wherein the cloud provides a plurality of virtual machine operating environments distinguished according to software versions for the same secondary equipment to be detected.

The operating environment can be regarded as a piece of bottom-layer software, the software has the function of installing and deploying the system operating instruction environment, and the software can be updated iteratively or in parallel, so as to form a plurality of versions, each version of the software has at least one function or sub-function difference, for example, at least one configuration parameter is changed, so that the virtual machine under the operating environment configuration has at least one operating environment parameter difference, which makes the operating environment of the virtual machine have a way of updating. Certainly, the type of the secondary equipment to be detected can also be specified by personnel and recorded into the detection device, and for the type (model, version and the like) of the manually recorded secondary equipment to be detected, the detection device responds to the recording of the type of the secondary equipment to be detected and requests the cloud end for the corresponding virtual machine operating environment. If the cloud end does not have the virtual machine running environment corresponding to the type of the secondary equipment to be detected, the detection device can record the relevant events. The maintenance personnel set, establish or adjust the virtual machine operating environment corresponding to the type of the secondary equipment to be detected according to the relevant events, and update the virtual machine operating environment at the cloud.

In the intelligent detection system according to the first aspect of the present invention, when the processing module of the corresponding detection apparatus loads the operation environment for initializing the virtual machine for the secondary device to be detected from the cloud, the operation environment closest to the virtual machine in time is selected for loading according to the latest upgrade time of the corresponding secondary device to be detected recorded by the automation system of the intelligent substation where the current detection apparatus is located.

Once the virtual machine running environment is established, the virtual machine running environment can be flexibly applied to various control hosts and detection devices and is used for determining the state of the secondary equipment to be detected in a simulation mode. The method of the invention updates the virtual machine operating environment corresponding to the secondary equipment to be detected, which is not only beneficial to maintenance, but also beneficial to the product research and development of the secondary equipment to be detected, and especially provides mass operating data corresponding to the real situation on site.

In the intelligent detection system according to the first aspect of the present invention, when a difference between the state data of the secondary device to be detected determined by the automation system of the intelligent substation in which the corresponding detection device is located and the state data determined by the corresponding detection device exceeds a preset range, the corresponding detection device queries the cloud whether there is another virtual machine operating environment for the same secondary device to be detected. And if so, loading another virtual machine operating environment. And if not, sending a troubleshooting notice to the manual work.

In another alternative, in the intelligent detection system according to the first aspect of the present invention, when a difference between the state data of the to-be-detected secondary device determined by the automation system of the intelligent substation in which the corresponding detection device is located and the state data determined by the corresponding detection device exceeds a preset range, the corresponding detection device queries real-time operation data and historical operation data of the automation system of the intelligent substation in which the corresponding detection device is located to determine a change in the peripheral condition determined by the interference state data within the same time range, where the peripheral condition includes a condition related to the operation data of the automation system of the intelligent substation.

The two alternatives to the problem "when the difference between the status data of the secondary device to be detected determined by the automation system of the intelligent substation in which the respective detection device is located and the status data determined by the respective detection device exceeds a preset range" may be determined by manual or automatic selection of the system, for example, the second alternative may be selected in the presence of other sources of interference data.

In the intelligent detection system according to the first aspect of the present invention, when there is a case where the peripheral condition variation exceeds the corresponding peripheral condition preset range, the corresponding detection apparatus requests the cloud to determine whether there is another virtual machine operating environment for the same secondary device to be detected. And if so, loading another virtual machine running environment. And if not, sending a troubleshooting notice to the manual work.

In another alternative, in the intelligent detection system according to the first aspect of the present invention, in the case where there is a change in the peripheral condition beyond the preset range of the peripheral condition corresponding thereto, the data information of the currently connected to-be-detected secondary device, which is acquired at a second detection period shorter than the first detection period, is provided to the automation system of the intelligent substation where the corresponding detection device is located.

The two alternatives for the problem that the peripheral condition change exceeds the preset range of the corresponding peripheral condition can be determined manually or automatically by a system, for example, in the case of acquiring the data information of the secondary equipment to be detected with low power consumption, the second alternative is preferably selected, so that more data information is acquired in a manner of increasing the acquisition frequency, so as to more clearly judge whether the peripheral condition exceeds the range, and to eliminate false alarm.

The preset range of the peripheral condition is different from a preset range in which the difference between the state data of the secondary equipment to be detected and the state data determined by the corresponding detection device exceeds the preset range. For example, when the peripheral condition is configured as a running data version number, the corresponding preset range of the peripheral condition may be set as a preset running data version number list, and when the current running data version number is not in the preset running data version number list, the peripheral condition may be said to be beyond the corresponding preset range of the peripheral condition.

Through the measures, the running environment of the virtual machine can follow up the updating of the secondary equipment to be detected, particularly the software updating, the maintenance workload is greatly reduced, the product research and development of the secondary equipment to be detected are facilitated, particularly the updated running data corresponding to the real on-site situation is given, and the method has a crucial influence on the iteration speed of a new product.

Drawings

FIG. 1 is a schematic view of the structure of the detecting unit of the present invention;

FIG. 2 is a flow chart of the detection method of the present invention.

Reference numerals:

1: a processing module; 3: an IO module; 4: an interface module; 31: a collecting unit; 32: an analysis unit; 33: a transmission unit; 34: a current unit; 35: a voltage unit; 36: a switching unit.

Detailed Description

In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Based on fig. 1, according to a first aspect of the present invention, the present application provides an intelligent detection system for a power grid secondary device, which includes a plurality of detection devices respectively located at a plurality of intelligent substations, wherein each detection device respectively includes: the IO module 3 is used for collecting data information of the secondary equipment in a first detection period; and the processing module 1 is used for controlling data acquisition of the IO module 3 and sending the acquired information of the IO module 3 to the cloud after processing. The "data acquisition" refers to a process of acquiring data information of the secondary device by the IO module 3, and the "acquisition information" refers to data information acquired by the acquisition. According to the present invention, the processing module 1 is at least one virtual machine deployed on a corresponding detection apparatus, wherein the type of the secondary device to be detected is determined by the corresponding detection apparatus according to data information of the secondary device to be detected, which is acquired by the IO module 3 of the corresponding detection apparatus, wherein the processing module 1 loads an operating environment from a cloud according to the type of the secondary device to be detected, which is correspondingly determined, and the operating environment is used for initializing the virtual machine for the secondary device to be detected.

For example, when one detection device is mounted on a mobile cart and operated in an integrated security room of an intelligent substation, since the processing module 1 is implemented by using a virtual machine, the detection device used in the intelligent detection system of the present invention can provide an individualized multi-type secondary device test scheme by using virtual machine simulation without increasing hardware investment, and can also be competent for the task of detecting a plurality of adjacent secondary devices in parallel, for example, by using the interface module 4 which will be described in detail below. In fact, most intelligent substation complexes are not spacious enough to accommodate simultaneous detection of multiple devices, and such virtual machine techniques provide the dual benefits of cost and parallel detection. In addition, because high-grade anti-static measures such as an anti-static floor with weak 4G and 5G signals are generally adopted in the integrated protection room of the intelligent substation, the detection device of the intelligent detection system according to the invention can also adopt other data link measures (such as wire connection) to be connected to the intelligent substation automation system of the secondary equipment to be detected, and thereby establish a data link for accessing the cloud server. According to the invention, when the detection device is connected to the intelligent substation automation system where the secondary equipment to be detected is located, the detection device also acquires the operation data of the secondary equipment to be detected from the intelligent substation automation system, compares the operation data with the data information of the same secondary equipment to be detected, which is acquired by the IO module 3, and only when the operation data of the secondary equipment to be detected acquired from the intelligent substation automation system and the operation data in the data information of the same secondary equipment to be detected, which is acquired by the IO module 3, are within the preset threshold range, the detection device calls the operation environment parameters for initializing the virtual machine of the secondary equipment to be detected from the cloud. When the system is used for the first time or initialized and started for the first time, the first group of virtual operating environment parameters can be manually input manually or initialized and provided based on general settings, the operating environment parameters can only basically maintain the normal work of the virtual machine, and obviously, the detection adaptability of the corresponding secondary equipment is not high in updating version currently stored in the cloud.

Preferably, according to the present invention, the system further includes a verification mode, in the verification mode, the intelligent substation automation system where the secondary device to be detected is located also simulates the secondary device to be detected through a virtual machine technology, and a detection value of the secondary device to be detected is determined in a simulation manner according to the operation data of the secondary device to be detected, which is acquired in the intelligent substation automation system, so as to determine the state of the secondary device to be detected; in parallel, the detection device of the present invention determines the detection value of the same secondary device to be detected by means of the simulation virtual machine for the same secondary device to be detected deployed thereon, according to the operating environment loaded from the cloud for initializing the virtual machine for the secondary device to be detected, and by using the data collected by the IO module 3 of the detection device itself, to simulate and determine the state of the secondary device to be detected.

When the difference between the determined states of the two devices is outside the preset threshold, it means that an error exists in the detection scheme (in other words, the operation environment parameter used for initializing the virtual machine of the secondary device corresponding to the model to be detected) of the model of the secondary device stored in the cloud by the intelligent detection system of the present invention. The reason for this is that, in the present invention, only when the "operation data of the secondary device to be detected obtained in the intelligent substation automation system" and the "operation data in the data information of the same secondary device to be detected collected by the IO module 3" are within the preset threshold range, the detection apparatus of the intelligent detection system of the present invention calls the operation environment parameter of the virtual machine for initializing the secondary device to be detected from the cloud. In view of the fact that the intelligent substation automation system where the secondary equipment to be detected is located is a software system which is attended and maintained regularly, according to the method and the system, the 'virtual machine operating environment of the secondary equipment to be detected of the model of the intelligent substation automation system where the secondary equipment to be detected is located' is loaded to the cloud end to update the virtual machine parameters of the secondary equipment corresponding to the model to be detected. However, the "actual update" also satisfies the condition that, after the "virtual machine operating environment of the model of the to-be-detected secondary device of the intelligent substation automation system in which the to-be-detected secondary device is located" is loaded to the cloud, the detection apparatus of the present invention performs the secondary simulation by using the operating environment parameters, which are secondarily loaded from the cloud and are to be used for initializing the operating environment of the virtual machine of the to-be-detected secondary device, and performs the actual update of the virtual machine parameters of the secondary device corresponding to the to-be-detected model only when a result obtained by the secondary simulation and a result of the simulation of the intelligent substation automation system are within a set threshold range. When the operation data of the secondary equipment to be detected acquired in the intelligent substation automation system and the operation data in the data information of the same secondary equipment to be detected acquired by the IO module 3 are out of the preset threshold range, the detection device of the intelligent detection system does not perform the operation environment parameter configuration work.

Through the operation of mutually verifying the two steps, the secondary equipment parameters frequently updated in the intelligent substation can be accurately and timely synchronized to the cloud under the condition of eliminating abnormal data caused by the conditions of data acquisition errors, data interference or voltage sag and the like which occur with small probability, so that various secondary equipment can be widely monitored in a cross-substation manner; especially, secondary equipment updates of the same model are more and more embodied as software updates rather than hardware updates, the software updates have no short changes to protection actions, protection conditions and protection measures, and the dynamically changed equipment of the type puts higher requirements on state detection. By adopting the method, the synchronous updating of the state monitoring measures is achieved with low cost as much as possible on the premise of fully combining the current control logic and detection measures of the intelligent substation automation system.

In addition, the intelligent substation with the system of the invention does not need to purchase a plurality of detection devices respectively and individually configure various virtual machines for various types of secondary equipment, but quickly forms high-accuracy state detection of the whole type of secondary equipment by mutually referring to environment parameters of the virtual machines formed by each other, and further can accurately pre-judge alarm events, equipment abnormal events and other events which seriously affect the operation of the secondary equipment by less interference channels.

In the intelligent detection system according to the first aspect of the present invention, the processing module 1 may mark the received data information as abnormal information of different levels, and send the abnormal information to the cloud, and the cloud adjusts the duration of the first detection period based on the abnormal information so as to change the detection frequency of the IO module 3, where the data information may include basic information, operation information, test detection data, a historical repair report, and/or reference information of a device of the same type of the corresponding to-be-detected secondary device. The first detection cycle is in an initial state, for example set to start timing in response to connection of the secondary device under test, which in the simplest case may be performed only once, to determine the model, version and wiring form of the secondary device and the protection requirements; preferably repeatedly at intervals. It is considered that the same secondary devices deployed at different intelligent substations can set different first detection periods for different situations so as to detect a plurality of secondary devices in parallel by means of a small number of detection devices, wherein the first detection period can be based on abnormality information to automatically set the first detection period of the secondary devices. This is so because "initiating detection in response to a connection of a secondary device under test" is likely to result in erroneous or disturbed data that requires multiple sampling of the data to determine its authenticity and stability. Some secondary devices may output some untrusted data at first after being wired, and the cloud end can learn the characteristics, and the duration of the first detection period is set specifically by means of the untrusted data transmission interval.

In the intelligent detection system according to the first aspect of the present invention, the plurality of detection devices respectively located at the plurality of intelligent substations are interacted with each other in a sensitive data isolation manner through the cloud. The sensitive data comprises the geographic position, the IP address and the like of the intelligent substation, and the access of the data needs higher-level authority and is higher than the administrator authority of the virtual machine software system. The intelligent substation belongs to the infrastructure with higher security level, and sensitive data of the intelligent substation are not suitable for being stored in the cloud. In the invention, a plurality of intelligent detection systems can be simultaneously connected to the same cloud end in parallel, and when the data of the respective detection devices are uploaded, the respective sensitive data can be hidden, and the respective sensitive data and the detection data are respectively stored in independent databases with different security levels.

In the intelligent detection system according to the first aspect of the present invention, the IO module 3 of each detection apparatus is connected to a secondary device to be detected through the interface module 4, and the interface module 4 may include a relay and a photoelectric switching unit, where the relay is configured to connect the secondary device to be detected to the current unit 34, the voltage unit 35, and the switch unit 36 in the IO module 3, and the photoelectric switching unit is configured to connect the secondary device to be detected to the digital unit in the IO module 3.

In the intelligent detection system according to the first aspect of the present invention, a plurality of detection devices respectively located in a plurality of intelligent substations are provided with IO modules 3 and processing modules 1 that are identical to each other, where the processing modules 1 of these detection devices respectively determine the type of secondary equipment to be detected according to data collected by their own IO modules 3, and load a virtual machine operating environment for initializing the same secondary equipment to be detected from the same cloud according to the correspondingly determined type of secondary equipment to be detected, where the cloud provides a plurality of virtual machine operating environments distinguished according to software versions for the same secondary equipment to be detected. Certainly, the type of the secondary equipment to be detected can also be specified by personnel and recorded into the detection device, and for the type (model, version and the like) of the manually recorded secondary equipment to be detected, the detection device responds to the recording of the type of the secondary equipment to be detected and requests the cloud end for the corresponding virtual machine operating environment. If the cloud end does not have the virtual machine running environment corresponding to the type of the secondary equipment to be detected, the detection device can record the relevant events. And the maintenance personnel sets, establishes or adjusts the virtual machine operating environment corresponding to the type of the secondary equipment to be detected according to the relevant events and updates the virtual machine operating environment at the cloud.

In the intelligent detection system according to the first aspect of the present invention, when the processing module 1 of the corresponding detection apparatus loads the operation environment for initializing the virtual machine for the secondary device to be detected from the cloud, the operation environment of the virtual machine closest in time is selected for loading according to the latest upgrade time of the corresponding secondary device to be detected recorded by the automation system of the intelligent substation where the current detection apparatus is located. Once the virtual machine operating environment is established, the virtual machine operating environment can be flexibly applied to various control hosts and detection devices to simulate and determine the state of secondary equipment. The method of the invention updates the virtual machine operating environment corresponding to the secondary equipment, which is not only beneficial to maintenance, but also beneficial to the product research and development of the secondary equipment, and particularly provides mass operating data corresponding to the real situation on site.

In the intelligent detection system according to the first aspect of the present invention, when a difference between the state data of the secondary device to be detected determined by the automation system of the intelligent substation in which the corresponding detection device is located and the state data determined by the corresponding detection device exceeds a preset range, the corresponding detection device queries the cloud whether there is another virtual machine operating environment for the same secondary device to be detected.

In the intelligent detection system according to the first aspect of the present invention, in another alternative, when a difference between the state data of the to-be-detected secondary device determined by the automation system of the intelligent substation in which the corresponding detection device is located and the state data determined by the corresponding detection device exceeds a preset range, the corresponding detection device queries real-time operation data and historical operation data of the automation system of the intelligent substation in which the corresponding detection device is located, so as to determine a change in the peripheral condition determined by the interference state data within the same time range. The peripheral conditions may include conditions related to operation data of an automation system of the intelligent substation, such as an operation data version number, an operation data recording standard, an operation data recording mode switching, and the like.

In the intelligent detection system according to the first aspect of the present invention, when there is a case where the peripheral condition variation exceeds the corresponding peripheral condition preset range, the corresponding detection apparatus requests the cloud to determine whether there is another virtual machine operating environment for the same secondary device to be detected.

In the intelligent detection system according to the first aspect of the invention, in another alternative, in the event of a change in the peripheral condition outside its corresponding peripheral condition preset range, the respective detection device provides the automation system of the intelligent substation in which it is located with data information collected at a second detection period that is significantly shorter than the first detection period, for which it is currently connected to the secondary device.

The two alternatives for the problem that the peripheral condition changes beyond the preset range of the corresponding peripheral condition can be determined manually or automatically by a system, for example, in the case of acquiring the data information of the secondary device with low power consumption, the second alternative is preferably selected, so that more data information is acquired in a manner of increasing the acquisition frequency, so as to more clearly judge whether the peripheral condition exceeds the range, and thus false alarm is eliminated.

The preset range of the peripheral condition is different from a preset range in which the difference between the state data of the secondary equipment to be detected and the state data determined by the corresponding detection device exceeds the preset range. For example, when the peripheral condition is configured as a running data version number, the corresponding preset range of the peripheral condition may be set as a preset running data version number list, and when the current running data version number is not in the preset running data version number list, the peripheral condition may be said to be out of the corresponding preset range of the peripheral condition.

Through the measures, the running environment of the virtual machine can follow up the updating of the secondary equipment in real time, particularly the software updating, and the maintenance workload is greatly reduced. The method is also beneficial to the product research and development of secondary equipment, particularly provides updated operation data corresponding to the actual situation on site, and has a vital influence on the iteration speed of a new product.

Referring again to fig. 2, according to a second aspect of the present invention, the intelligent detection system for a power grid secondary device of the present invention may include a plurality of detection devices respectively located at a plurality of intelligent substations, wherein each detection device respectively includes: the IO module 3 is used for collecting data information of the secondary equipment based on a first detection period; the system comprises at least one processing module 1 which is deployed in the detection device in a virtual machine mode and used for controlling data acquisition of the IO module 3 and sending acquired information of the IO module 3 to a cloud after processing; the processing module 1 marks the received data information as abnormal information of different levels and sends the abnormal information to a cloud end, the cloud end controls the detection frequency of the IO module 3 based on the abnormal information based on the time length for adjusting the first detection period, wherein the data information can comprise basic information, operation information, test detection data, historical maintenance reports and reference information of the same type of equipment of secondary equipment.

Data fluctuations may also be of interest when the detection device of the present invention plays the role of a real-time monitoring unit. For example, in general, data fluctuation with a small amplitude belongs to a normal state, but when a parameter of the secondary device is abnormal due to a technical reason such as a fault, fluctuation of one or more items of information in the data information acquired by the IO module 3 is caused compared with that of the previous data information, and at this time, it is necessary to investigate the reason for generating the data fluctuation based on the data information, and replace a component with a high loss condition. The invention evaluates the state of the secondary equipment by comparing the previous data or the data of the similar products, alarms the secondary equipment with larger data fluctuation amplitude and strengthens the detection frequency of the secondary equipment so as to achieve the aim of improving the monitoring strength.

Preferably, the processing module 1 divides the data information sent by the IO module 3 into first abnormal information for a change in operating conditions, second abnormal information for an alarm event, and third abnormal information for an equipment abnormal event based on a data fluctuation range with the data information of the last first detection period.

Preferably, the processing module 1 may include an ARM processor and a motherboard FPGA, the ARM processor may detect items received from the cloud and transmit the items to the motherboard FPGA based on information type classification and encoding, wherein the information type may include instructions and data information, the instructions are directly transmitted to the motherboard FPGA when the ARM processor receives the instructions, and the data information is transmitted to the motherboard FPGA after logical operation when the ARM processor receives the data information.

Preferably, IO module 3 can be connected with the secondary equipment of waiting to examine through interface module 4, interface module 4 can include relay and photoelectric switching unit, wherein, the relay be used for the secondary equipment with be connected between current cell 34, voltage cell 35 and the switch element 36 in IO module 3, photoelectric switching unit is used for being connected between the digital unit in secondary equipment and the IO module 3.

Preferably, interface module 4 can receive the switching instruction of relay that mainboard FPGA sent and realize the switching of external interface, wherein, be provided with a plurality of groups of relays and photoelectric switching unit in interface module 4 for interface module 4 can realize the switching to waiting to examine secondary equipment based on the relay and the photoelectric switching unit of switching connection.

Preferably, the IO module 3 generates a sinusoidal output and/or a switching value output of a corresponding set sampling rate based on the received test item information sent by the processing module 1, and the IO module 3 acquires data information of the secondary device based on the sinusoidal output and/or the switching value output.

Preferably, the processing module 1 sends the data information to a cloud based on an information anomaly condition, and the cloud adjusts a first detection period of the corresponding secondary device based on a level of the information anomaly, wherein the cloud shortens the first detection period based on an increase in the level of the information anomaly, so that the detection frequency of the secondary device is improved.

Preferably, the processing module 1 further includes a timing unit, so that the detection clock of the corresponding detection device is synchronized with the cloud.

Preferably, the detection method of the detection device may include the steps of:

s1: receiving test item information issued by the cloud based on a first detection period based on the processing module 1;

s2: classifying the test item information according to sampling items based on the processing module 1 and sending the test item information to the IO module 3 based on a classification result;

s3: controlling the IO module 3 to generate sine output or switching value output of a set sampling rate for the test item information;

s4: controlling the IO module 3 to acquire data information of the secondary equipment based on the generated sine output or switching value output;

s5: the IO module 3 sends the acquired data information to the processing module 1;

s6: the processing module 1 stores the data information and divides the data information acquired this time into first abnormal information aiming at the change of the operating condition, second abnormal information aiming at the alarm event and third abnormal information aiming at the equipment abnormal event based on the data information acquired in the last first fixed period.

Preferably, detection device can carry out remote control through 5G, internet and/or WIFI mode, and wherein, remote control is realized through the high in the clouds mode to the 5G mode, and the WIFI mode is applicable to local short distance in wireless control.

The intelligent high-end detection system for the power grid secondary equipment shown in fig. 1 comprises a processing module 1, an interface module 4 and an IO module 3. The processing module 1 may receive the test item information issued by the cloud, and may classify the test item information and then send the test item information to the corresponding IO module 3 based on the classification result. All cycle information that the secondary device needs to check can be stored on the cloud and corresponding test item information is sent to the processing module 1 based on the cycle information, wherein the information stored on the cloud can come from pre-programming and/or intelligent algorithms. The IO module 3 is configured to generate a sine wave output and/or a switching value output with a set sampling rate based on the received test item information, and sample data information of the secondary device based on the sine wave output and/or the switching value output. The interface module 4 is used for connecting the IO module 3 with the secondary device, so that the IO module 3 collects data information of the secondary device.

According to the invention, the processing module 1 may be at least one virtual machine deployed on the respective detection device. The type of the secondary equipment to be detected can be determined by the corresponding detection device according to the data information of the secondary equipment to be detected, which is acquired by the IO module 3 of the corresponding detection device, and can also be manually input.

According to the invention, the processing module 1 can load the running environment from the cloud according to the type of the secondary device to be detected, which is determined correspondingly, and the running environment is used for initializing the running environment of the virtual machine for the secondary device to be detected. Each detection device can be carried on the movable trolley so as to be convenient for patrolling a plurality of secondary devices in the comprehensive protection room of one intelligent substation. Because the processing module 1 of the detection device is realized by the virtual machine, the detection device adopted by the intelligent detection system can carry an unlimited number of virtual machines aiming at the secondary equipment to be detected on one set of hardware equipment. Therefore, the personalized multi-type secondary device testing scheme is provided by means of virtual machine simulation without increasing hardware investment, and the task of detecting a plurality of adjacent secondary devices in parallel can be performed, for example, by means of an interface module which is further detailed below.

According to the invention, when the detection device is connected to the intelligent substation automation system of the secondary equipment to be detected, the detection device also acquires the operation data of the secondary equipment to be detected from the intelligent substation automation system, and compares the operation data acquired from the intelligent substation automation system with the data information of the same secondary equipment to be detected acquired by the IO module 3. According to the comparison result, the detection device can call the running environment parameters aiming at the secondary equipment to be detected from the cloud end for initializing the corresponding virtual machine running environment.

According to a preferred embodiment, the test item information can be divided into detection information of various substation devices, such as network switch detection information, network analyzer detection information, relay protection device detection information, merging unit detection information, and intelligent terminal detection information, based on the detection object.

The network switch detection information includes: switch VLAN check, throughput test, time delay test, frame loss rate test, back-to-back test and error frame test. The switch VLAN verification comprises the steps of automatically searching switch VLAN division setting, forming a VLAN division table and verifying whether switch VLAN division is correct or not. The throughput testing comprises the following steps: setting test time, frame length and selectable standard frame length; port one-to-one, many-to-many and full-mesh test modes are supported; supporting a step size gradient search mode and a dichotomy search mode; and the result is displayed graphically. The time delay test comprises the following steps: setting test time, frame length, test rate and selectable standard frame length; supporting a storage forwarding mode and a direct connection switching mode; the time delay result comprises maximum time delay, minimum time delay, average time delay, maximum time delay jitter, minimum time delay jitter and average time delay jitter, and supports graphical display results. The frame loss rate test comprises the following steps: setting test time, frame length, test rate and selectable standard frame length; and the result is displayed graphically. The back-to-back test includes: setting test time, frame length, test rate and selectable standard frame length; and the result is displayed graphically. The error frame test functions include: setting an ultra-short frame range; setting an ultra-long frame range; the results should include both transmitted frame statistics and received frame statistics.

The network analyzer detection information includes: sampling precision test, SV and GOOSE data abnormity test, remote signaling deflection and action event test. The sampling precision test comprises the following steps: the processing module 1 respectively applies protection, measures the current and voltage amplitude values to a network analysis device by setting an SV control block, and recovers the sampling value of the network branch for precision test. The SV and GOOSE data anomaly test comprises the following steps: the processing module 1 applies abnormal data of simulated SV (frame loss, wrong order, etc.) and GOOSE (frame loss, heartbeat jitter, etc.), and collects corresponding alarm information of the network branch for testing. The remote signaling deflection and action event test comprises the following steps: the processing module 1 issues the telecommand deflection, and the recovery network divides the telecommand deflection message and the alarm message by issuing the protection action signal, recovering the network branch protection action message and the switch deflection information.

The detection information of the relay protection device comprises: testing current and voltage sampling precision; protection input quantity and output quantity tests; and (4) functional testing. When the protection input quantity test is carried out, the correctness is verified by comparing a calling remote signaling value with a GOOSE input signal, the automatic judgment function of accuracy is provided, and the output quantity test is that a remote control command is sent to the relay protection device to detect the correctness of the GOOSE output quantity of the relay protection device, so that the automatic verification of a channel can be realized. The functional test part can cover three parts of line protection verification, bus protection and transformer protection. The verification of the line protection comprises the following steps: pilot protection, current differential protection, distance protection, zero sequence protection, PT disconnection overcurrent protection, overcurrent protection inspection, three-phase inconsistency, acceleration after reclosing and the like. The bus protection includes: differential protection, failure protection, bus coupling (subsection) dead zone protection, bus coupling (subsection) overcurrent protection and bus coupling (subsection) three-phase inconsistent protection. The transformer protection includes: differential protection, impedance protection, zero-sequence overcurrent protection, gap zero-sequence overcurrent and overvoltage protection, composite-voltage locking direction overcurrent protection, overload starting air-cooled locking voltage regulation and zero-sequence overvoltage protection.

The merging unit detection information includes: the method comprises the following steps of SV message frame loss rate testing, SV message integrity testing, SV message sending frequency testing, SV message interval dispersion testing, SV message quality testing, SV message synchronism testing, maintenance state simulation and sampling precision testing. The SV message frame loss rate test comprises the following steps: the processing module 1 can continuously output messages for at least 30 minutes and detect whether the merging unit loses frames or not. The SV message integrity test comprises the following steps: the SV message serial numbers output by the processing module 1 are continuously increased from 0 to 50N-1 (N is the number of sampling points per week), and then are restored to 0, and whether the serial numbers of any two adjacent frames of SV messages of the merging unit are continuous or not is detected. The SV message sending frequency test comprises the following steps: and the processing module 1 receives and detects whether the SV sending frequency output by the merging unit is consistent with the sampling point frequency or not according to one frame of message of each sampling point of the SV message output by the processing module. The SV message interval dispersion detection comprises the following steps: the SV message output by the processing module 1 is a theoretical value (20/Nms, N is the sampling point number of each cycle), and whether the measured interval jitter is within +/-10 us or not is received. The SV message quality bit test comprises the following steps: the processing module 1 can simulate the SV message quality no setting when the mutual inductor works normally and the SV message quality setting when the mutual inductor works abnormally. The SV message synchronism test comprises the following steps: the processing module 1 can simulate the clock loss and recovery of the merging unit, the SV sending interval jitter is not more than 10us in the whole process, and the 'synchronization mark' in the SV message can be correctly turned. The overhaul state simulation comprises the following steps: the processing module 1 can send an SV message of a to-be-overhauled location, where the "Test" location Ture is located at an overhauled location, and the "Test" location False is an exit from overhaul. The sampling precision test comprises the following steps: the processing module 1 can automatically test amplitude, phase, frequency and compliance errors.

The intelligent terminal detection information comprises: the method comprises the steps of simulating a detection state, detecting the action time of an intelligent terminal opening loop and detecting the action time of an intelligent terminal tripping loop. The simulation of the detection state includes: after the intelligent terminal maintenance pressing plate is put into service, the detector sends a Test position Ture in a GOOSE message; after the maintenance pressing plate is withdrawn, the intelligent terminal device sends a Test position False in a GOOSE message; the intelligent terminal device maintenance lamp is turned on or turned off. The intelligent terminal open loop action time test comprises the following steps: and the time from the intelligent terminal receiving the protection trip command to the time of opening the hard contact is less than or equal to 6 ms. The intelligent terminal is switched into the hard contact access processing module 1, the processing module 1 sends a group of GOOSE tripping and closing commands to the intelligent terminal, response time is checked on a testing device, and the intelligent terminal can reliably act within 6 ms. The testing device is a special intelligent terminal detection device. The intelligent terminal trip loop action time test comprises the following steps: and after the intelligent terminal receives the opening of the hard contact, the time for converting the hard contact into the GOOSE message is less than or equal to 10 ms. The intelligent terminal testing module respectively outputs corresponding switch, isolation knife and other hard contact on-off signals to the intelligent terminal, and receives the GOOSE message sent by the intelligent terminal.

According to a preferred embodiment, the test of the secondary equipment of the intelligent substation is a key link for ensuring the functions of the substation to play a role constantly and ensuring the safe and stable operation of a power system, and is important content of the daily operation and maintenance of the substation.

According to a preferred embodiment, the interface module 4 may comprise a relay and an opto-electronic switching unit. The relays are used for connection between the secondary devices and the current unit 34, the voltage unit 35 and the switch unit 36 in the IO module 3. The optical-electrical switching unit is used for connecting the secondary device with the digital unit in the IO module 3. The IO module 3 includes, in addition to the above units: an acquisition unit 31, an analysis unit 32 and a transmission unit 33. The acquisition unit 31 is configured to acquire data information of the secondary device to be detected based on the test item information sent by the processing module 1 when the IO module 3 is connected to the secondary device based on the interface module 4, for example, when the IO module 3 receives information for performing sampling detection on the dc power supply device sent by the processing module 1, the acquisition unit 31 is controlled to execute a corresponding sampling program so as to acquire the data information of the dc power supply device. The analysis unit 32 analyzes and compiles the data acquired by the acquisition unit 31 into a data stream that can be recognized by the processing module 1. The transmission unit 33 sends the compiled data stream to the processing module 1. Preferably, the data information collected by the collecting unit 31 may be current, voltage, switching information, and the like of the secondary device.

According to a preferred embodiment, the test item information received by the processing module 1 includes instruction and data information. The instruction and the data information may be transmitted to the processing module 1 by the 5G communication receiving cloud based on the first detection period, wherein each secondary device has the respective first detection period and the corresponding instruction and data information and is stored in the cloud in a preset manner. The processing module 1 comprises an ARM processor and a mainboard FPGA. The ARM processor receives the instruction and then directly sends the instruction to the mainboard FPGA, the ARM processor receives the data information and then sends the data information to the mainboard FPGA after ARM logical operation, and finally the mainboard FPGA carries out command operation such as data processing distribution and optical port data configuration, and the mainboard FPGA can also send the FPGA of each module to the IO module 3 to independently control each module of the IO module 3. Each module receives data information and clock information provided by the FPGA of the mainboard and converts the data information into sine wave output or switching value output with a sampling rate of 5000 points. It should be noted that the instruction and data information mainly refer to test item sequence information, test item output state logic, test item output parameter information, and test item receiving feedback logic judgment information, and according to these information, the main board FPGA can determine how each IO module 3 should output. The motherboard FPGA then sends the differentiated IO module requirements to the IO modules 3.

According to a preferred embodiment, the IO module 3 mainly includes a current unit 34, a voltage unit 35, a digital unit and a switching value unit, so that the instruction operation issued to the IO module 3 by the main board FPGA of the processing module 1 includes: the system comprises a group number configuration module, a GOOSE sending and optical port, a GOOSE receiving and optical port, a looped network protocol sending and optical port setting module, a switching value control module, an analog value control module, a synchronous triggering function of a plurality of hardware platforms, a test result data uploading control module and a relay group switching command of an interface module 4. The main functions of the current unit 34 and the voltage unit 35 include: FPGA and control bus interface, 6-channel AC/DC current or AC/DC current amplifier and internal signal acquisition (including power-on self-test, temperature, power supply, amplifier and alarm signal). The main functions of the digital unit are: as an interface for the FPGA and control bus and an IEC60044-7/8 interface. The main functions of the switching value unit include: the module 1 can be processed to be connected and disconnected, and empty joints and point position joints can be automatically identified.

According to a preferred embodiment, the switching value unit and the digital unit FGPA receive the mark timestamp of the Goose, the ring network protocol, the switching value input information and the like, analyze and extract the timestamp, send the information to the mainboard FPGA, provide the information for the ARM for logic processing by the mainboard FGPA, form a closed-loop test, record the action time of the protection device and the like, feed real-time data or a measurement result back to the 5G communication module or the Ethernet communication module, and feed back to the cloud.

According to a preferred embodiment, when the processing module 1 receives the test item information sent by the cloud, the processing module further includes a timing execution step, which is used for synchronizing the secondary device detection apparatuses of different intelligent stations by means of the clocks of the cloud, and for this purpose, each processing module 1 has a timing unit.

According to a preferred embodiment, the detection method of the invention comprises:

s1: the processing module 1 receives test item information issued by a cloud based on a first detection period;

s2: the processing module 1 classifies the test item information according to the sampling items and sends the test item information to the IO module 3 based on the classification result;

s3: the control IO module 3 generates sine output or switching value output of a set sampling rate for the test item information;

s4: the control IO module 3 acquires data information of the secondary equipment based on the generated sine output or switching value output;

According to a preferred embodiment, the first anomaly information, the second anomaly information and the third anomaly information are also promoted or demoted based on a floating between the collected data information and the data information detected in the last first detection period. The first abnormal information is, for example, that the temperature of the secondary device, the ambient temperature, or the relationship between the two exceeds a preset range; the second abnormal information is, for example, information of a partial malfunction of the device such as various kinds of alarm events; the third anomaly information is, for example, an equipment anomaly event, and in this case, the whole function of the equipment is often abnormal.

According to a preferred embodiment, the processing module 1 classifies the abnormal information and then sends the classified abnormal information to the cloud, and the cloud adjusts the first detection period of the corresponding secondary device based on the abnormal level of the data information, wherein the cloud improves the first detection period based on the abnormal level of the data information and shortens the first detection period, so as to increase the detection frequency of the secondary device with the abnormal data information, wherein the higher the abnormal data information amplitude is, the shorter the corresponding detection period is.

According to a preferred embodiment, the importance of the devices in the secondary equipment is different for the transformer substation, wherein the relay protection device detects the fault or abnormal condition occurring in the power system and feeds back the alarm signal, so that the fault part can be directly isolated or cut off. When the power system has operation failure, the maintenance time of the primary equipment is short, and the main maintenance work is performed in the secondary equipment, so that the importance of the relay protection device is highlighted. Therefore, the relay protection device is the device with the highest importance in the entire secondary equipment. When the IO module 3 performs information acquisition on the secondary device based on the first detection period, the information acquisition times of the relay protection device in the secondary device are increased.

According to a preferred embodiment, when the IO module 3 detects a secondary device, the processing module 1 classifies sampling items into important item samples, secondary item samples, general item samples and unnecessary item samples based on importance degrees, wherein the importance degrees of the sampling items are sequentially reduced. The IO module 3 allocates sampling time and/or sampling frequency based on the received information of the sampling item and based on the importance, wherein on the premise that the sampling time is fixed, the IO module 3 allocates more sampling time occupation and/or sampling frequency for sampling of the important item, and the IO module 3 allocates less sampling time occupation and/or sampling frequency for sampling of unnecessary items. For example, 60% of the sampling time is allocated to the relay protection device with the highest importance, and 50% of the sampling time is allocated to the device with the lower importance, such as a measuring meter. Preferably, the sampling time is also allocated by increasing the detection frequency of the device with high importance (such as one hour detection), and correspondingly, decreasing the sampling frequency of the unnecessary items with low importance (such as one month detection).

According to a preferred embodiment, when detecting the secondary device, the IO module 3 can send and store the acquired abnormal information in the processing module 1. The processing module 1 records the type of the secondary equipment with abnormal information while sending the abnormal information in a grading way and compares the type of the abnormal information of the secondary equipment with the type and the interval time of the abnormal information of the conventional secondary equipment, wherein when the processing module 1 detects that the detection result of a certain electrical element of the same secondary equipment is second abnormal information and the frequency of the second abnormal information of the electrical element is accelerated, a first alarm signal is sent to the cloud so as to be sent to the mobile terminal of a corresponding person in charge; when the processing module 1 detects that a detection result of a certain electrical element of the same secondary device is first abnormal information and the abnormal information of the electrical element changes periodically, sending a second alarm signal to the cloud so as to send the second alarm signal to the mobile terminal of the corresponding responsible person; when the processing module 1 detects that the detection results of different secondary devices are all first abnormal information in the primary check, a third alarm signal is sent to the cloud so as to be sent to the mobile terminal of the corresponding responsible person.

According to a preferred embodiment, when the processing module 1 receives that the secondary device detection result is the third anomaly information, the fourth alarm signal is sent to the cloud so as to be sent to the mobile terminal of the corresponding responsible person. Preferably, the processing module 1 can also identify the inspection information sent by the IO module 3 by preprogramming the mode of storing the abnormal information and send corresponding early warning information to the cloud based on the type and frequency of the abnormal information, so that a worker can timely master the operation condition of the secondary equipment of the power grid and overhaul and process the abnormal condition.

According to a preferred embodiment, the cloud end can adjust the duration of the first detection period based on the load of the primary equipment of the power grid. In terms of a single day, most enterprises are on duty at 8-9 hours, so that the industrial power load rapidly increases between 8-9 hours, the power load gradually increases as other power utilization units except the enterprises start working, a first peak generally appears at 11 hours, and a second peak appears at 17 pm correspondingly. And as people enter noon break in next work, the electric load is reduced, the first valley value appears at 13 o 'clock, the second valley value appears at 19 o' clock in the afternoon, the industrial load is reduced after 19 o 'clock in the afternoon, the civil load is increased, the third peak value appears at about 20 o' clock in the power grid, but the proportion of the civil load is usually smaller than that of the industrial load, and therefore the third peak value is usually smaller than the first peak value and the second peak value. Therefore, the cloud end needs to adjust the duration of the first detection period based on the peak value, wherein the cloud end adjusts the starting end of the first detection period at least after each peak value so as to achieve the purpose of detecting data in a high risk period and avoiding the detection from increasing the load of the power grid.

In the case of the above preferred embodiment in reasonable combination with the detection device mounted on the mobile car, the detection device of the present invention operating in the integrated protection room of an intelligent substation can play the role of a dynamic monitoring unit for secondary devices.

According to a preferred embodiment, the data information acquired by the IO module 3 includes characteristic quantities related to evaluation indexes of the secondary equipment generated during manufacturing, operation, maintenance, overhaul, test, and the like of the secondary equipment. Specifically, the method comprises basic information before commissioning, operation information, test detection data, historical overhaul reports, reference information of the same type of equipment and the like.

According to a preferred embodiment, the detection device further comprises a wired communication module and/or a 4G, 5G communication module. The detection device carries out data interaction with the cloud through the wired communication module and/or the 4G and 5G communication modules. The wired communication module and/or the 4G and 5G communication modules may be a sub-module of the processing module 1, or may be separately provided. Processing module 1 can include ARM and FPGA, 5G communication module is a subsection of built-in ARM system of detection device, be the built-in system of detection device and the interactive port module of external information, every detection device's ARM system all has a unique IP address, detection device passes through wired communication module and/or 4G, 5G communication module is connected with the internet communication module at high in the clouds, and inform the high in the clouds with self IP address, realize accurate information and assign and upload, in the test result uploads, can deposit this test platform's IP information in the test result, so that the test result that many test platforms uploaded is distinguished to the high in the clouds. Because high-grade anti-static measures such as an anti-static floor with weak 4G and 5G signals are generally adopted in the comprehensive protection room of the intelligent substation, the detection device of the intelligent detection system can also adopt other data link measures (such as wire connection) to be connected to the intelligent substation automation system of the secondary equipment to be detected, and a data link for accessing the cloud server is established.

According to a preferred embodiment, the interface module 4 may be an external port of the test platform, and may include a protection device interface, a measurement and control device interface, a sub-module interface, and the like. For example, the connection of the different interfaces is realized by internal relay switching. The traditional detection device can only test one device at a time, and the interface module 4 of the scheme can receive a relay switching command provided by the mainboard FPGA to realize the function of switching the relay of the external interface, so that the invention can receive a plurality of groups of data in parallel. Preferably, the interface module 4 is composed of a plurality of sets of relays and/or optical-electrical switching units, for example, all optical ports may be connected to the optical-electrical switching units, and the optical port of the device to be tested is also connected to the optical-electrical switching units, so as to implement the communication connection between the detection apparatus and the optical port of the secondary device to be tested. The voltage, the current and the switching value are connected to the relay switch of the interface module 4, each group of switches corresponds to one or more secondary devices to be tested, for example, the FPGA provides a switching command, and the voltage, the current and the switching value are switched to the corresponding one or more secondary devices to be tested according to the command provided by the FGPA.

According to a preferred embodiment, the processing module 1 may also comprise a timing unit to synchronize the different smart detection system clocks.

According to a preferred embodiment, the cloud is further connected with a monitoring analysis module for monitoring and analyzing the data information transmitted by the detection device.

According to a preferred embodiment, the detection device can be remotely controlled in a 5G, Internet or WIFI manner. Remote control is realized through high in the clouds mode to the 5G mode, and the WIFI mode is applicable to the wireless control in local short distance.

According to a preferred embodiment, the detection device is remotely controlled by a mobile terminal, the mobile terminal is in communication with a cloud terminal through a 5G network or a wireless network, and the mobile terminal is responsible for editing a test item, issuing the test item and receiving a test result returned by the cloud terminal in real time. The cloud host and the internet communication server form a cloud end together, the cloud host stores data, communicates with the mobile terminal and the monitoring analysis system, and achieves data access and interaction, the internet communication server is a 4G communication program, a detection device connected with the internet communication server is searched through a test platform IP, test items issued by the mobile terminal are issued to the test platform, and meanwhile, the internet communication server also receives test result data returned by the test platform in real time and uploads the test result data to the cloud host.

It should be noted that the above-mentioned embodiments are exemplary, and that those skilled in the art, having benefit of the present disclosure, may devise various arrangements that are within the scope of the present disclosure and that fall within the scope of the invention. It should be understood by those skilled in the art that the present specification and figures are illustrative only and are not limiting upon the claims. The scope of the invention is defined by the claims and their equivalents. The present description contains several inventive concepts, such as "preferably", "according to a preferred embodiment" or "optionally", each indicating that the respective paragraph discloses a separate concept, the applicant reserves the right to submit divisional applications according to each inventive concept.

Claims

1. The utility model provides an intelligent detection system of electric wire netting secondary equipment, its includes a plurality of detection device that are located a plurality of intelligent substation respectively, and wherein each detection device includes respectively:

the IO module (3) is used for collecting data information of the secondary equipment in a first detection period;

the processing module (1) is used for controlling data acquisition of the IO module (3) and sending acquired information of the IO module (3) to a cloud after processing;

the method is characterized in that:

the processing module (1) is at least one virtual machine deployed on a corresponding detection device, wherein the type of the secondary equipment to be detected is determined by the corresponding detection device according to data information of the secondary equipment to be detected, acquired by an IO module (3) of the corresponding detection device, the processing module (1) loads an operating environment from a cloud end according to the type of the secondary equipment to be detected, which is correspondingly determined, and the operating environment is used for initializing the virtual machine aiming at the secondary equipment to be detected.

2. The intelligent detection system according to claim 1, wherein the processing module (1) marks the received data information as abnormal information of different levels, and sends the abnormal information to a cloud, and the cloud adjusts the duration of the first detection period based on the abnormal information so as to change the detection frequency of the IO module (3), wherein the data information includes basic information, operation information, test detection data, historical repair report and/or reference information of the same type of equipment of the corresponding secondary equipment to be detected.

3. The intelligent detection system according to claim 1 or 2, wherein the plurality of detection devices respectively located at the plurality of intelligent substations are interactive with each other in a sensitive data isolated manner through a cloud.

4. The intelligent detection system according to claim 1 or 2, further comprising an interface module (4), wherein the IO module (3) of each detection device is connected with the secondary device to be detected through the interface module (4), the interface module (4) comprises a relay and a photoelectric switching unit, the IO module (3) comprises a current unit (34), a voltage unit (35) and a switch unit (36), wherein the relay is used for connecting the secondary device to be detected with the current unit (34), the voltage unit (35) and the switch unit (36) in the IO module (3), and the photoelectric switching unit is used for connecting the secondary device to be detected with the digital unit in the IO module (3).

5. The intelligent detection system according to claim 1 or 2, wherein a plurality of detection devices respectively located in a plurality of intelligent substations are provided with IO modules (3) and processing modules (1) that are identical to each other, wherein the processing modules (1) of these detection devices respectively determine the type of the secondary equipment to be detected according to the data acquired by their own IO modules (3), and load an operating environment from the same cloud according to the correspondingly determined type of the secondary equipment to be detected, the operating environment being used for initializing a virtual machine for the same secondary equipment to be detected, wherein the cloud provides a plurality of virtual machine operating environments distinguished according to software versions for the same secondary equipment to be detected.

6. The intelligent detection system according to claim 1 or 2, wherein when the processing module (1) of the corresponding detection device loads the operation environment for initializing the virtual machine of the secondary device to be detected from the cloud, the temporally closest virtual machine operation environment is selected for loading according to the latest upgrade time of the corresponding secondary device to be detected recorded by the automation system of the intelligent substation where the current detection device is located.

7. The intelligent detection system according to claim 6, wherein when a difference between the state data of the secondary device to be detected determined by the automation system of the intelligent substation in which the corresponding detection device is located and the state data determined by the corresponding detection device exceeds a preset range, the corresponding detection device queries a cloud whether another virtual machine operating environment for the same secondary device to be detected exists.

8. The intelligent detection system according to claim 6, wherein when the difference between the state data of the secondary equipment to be detected determined by the automation system of the intelligent substation where the corresponding detection device is located and the state data determined by the corresponding detection device is beyond a preset range, the corresponding detection device queries real-time operation data and historical operation data of the automation system of the intelligent substation where the corresponding detection device is located to determine a change of peripheral conditions determined by the interference state data within the same time range, wherein the peripheral conditions include conditions related to the operation data of the automation system of the intelligent substation.

9. The intelligent detection system according to claim 8, wherein in case that the peripheral condition variation exceeds the corresponding peripheral condition preset range, the corresponding detection device requests the cloud to determine whether another virtual machine operating environment exists for the same to-be-detected secondary device.

10. The intelligent detection system according to claim 9, wherein in case of a change in the peripheral condition beyond a preset range of the corresponding peripheral condition, the respective detection device provides the automation system of the intelligent substation in which it is located with data information of the currently connected to-be-detected secondary device acquired with a second detection period shorter than the first detection period.