CN111818135A - State monitoring method and device based on edge calculation in transformer substation data center - Google Patents
State monitoring method and device based on edge calculation in transformer substation data center Download PDFInfo
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- CN111818135A CN111818135A CN202010583386.9A CN202010583386A CN111818135A CN 111818135 A CN111818135 A CN 111818135A CN 202010583386 A CN202010583386 A CN 202010583386A CN 111818135 A CN111818135 A CN 111818135A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1029—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers using data related to the state of servers by a load balancer
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1004—Server selection for load balancing
- H04L67/1012—Server selection for load balancing based on compliance of requirements or conditions with available server resources
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/16—Electric power substations
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Abstract
The embodiment of the application provides a state monitoring method and device based on edge calculation in a substation data center, and the method comprises the following steps: deploying a sensor array comprising a preset number of sensors at a server in a substation data center; controlling a sensor array to actively acquire state parameters of each server every preset time; and in each group of sensor arrays, each sensor is used as an edge calculation node to process the state parameters, and the state monitoring parameters of each group of sensor arrays corresponding to each server are obtained. The server is monitored in multiple dimensions by the sensor array comprising the preset number of sensors, the working state of the current server can be effectively acquired, the server is effectively scheduled, and the situation that the permanent response time is prolonged due to the overweight load is reduced.
Description
Technical Field
The invention belongs to the field of data transmission, and particularly relates to a state monitoring method and device based on edge calculation in a substation data center.
Background
The core idea of the edge computing concept is to fully utilize the storage and computing capabilities of devices close to the edge of a network between cloud computing and user terminal devices to provide computing and storage services for terminal users. The edge calculation has the characteristic of being close to the edge of the network, so that the transmission distance can be effectively shortened, and the time delay is reduced; and can alleviate the pressure of cloud data centers in wide area networks.
With the rapid increase of the number of netizens, a large number of web service requests cause heavy load pressure on servers in web sites of the cloud data center, the time delay of obtaining response by a user is increased, and the user experience is influenced.
Disclosure of Invention
In order to overcome the defects and shortcomings in the prior art, the invention provides a state monitoring method and device based on edge calculation in a substation data center.
Specifically, on one hand, the embodiment of the present application provides a state monitoring method based on edge calculation in a substation data center, including:
deploying a sensor array comprising a preset number of sensors at a server in a substation data center;
controlling a sensor array to actively acquire state parameters of each server every preset time;
and in each group of sensor arrays, each sensor is used as an edge calculation node to process the state parameters, and the state monitoring parameters of each group of sensor arrays corresponding to each server are obtained.
Optionally, the deploying a sensor array including a preset number of sensors at a server in the substation data center includes:
constructing a sensor unit comprising a temperature and humidity sensor and a monitoring program for obtaining;
the sensor units are deployed on each server in the substation data center by taking a group as a unit, and a sensor array formed by a preset number of sensor units is obtained.
Optionally, the controlling the sensor array to actively acquire the state parameters of each server every preset time includes:
triggering a pulse signal for activating the sensor array to work in each preset time period;
the sensor array collects the state parameters of the server including the temperature and the humidity and the working parameters of the server according to the preset function types after being stimulated by the pulse signals.
Optionally, in each group of sensor arrays, processing the state parameter by using each sensor as an edge calculation node to obtain the state monitoring parameter output by each group of sensor arrays and corresponding to each server, includes:
in each group of sensor arrays, each sensor acquires a single state parameter;
comparing the single state parameter with a preset threshold value to obtain a processing result containing a server number corresponding to the current sensor and a characterization comparison result type;
and acquiring the state monitoring parameters, which are output by each sensor array and correspond to each server, by combining the position numbers of the sensors in each group of sensor arrays.
Optionally, the comparing the single state parameter with a preset threshold to obtain a processing result including a server number corresponding to the current sensor and a type of a characterization comparison result includes:
determining a parameter type corresponding to a single state parameter, and selecting a numerical range allowed by the parameter type;
if the single state parameter is in the numerical range, generating an instruction representing that the monitoring is passed, and adding a server number to form a processing result;
if the single state parameter is outside or marginal to the value range, an instruction representing the monitoring failure is generated, and a server number is added to form a processing result.
On the other hand, the embodiment of the present application further provides a state monitoring device based on edge calculation in a substation data center, including:
the array deployment unit is used for deploying a sensor array comprising a preset number of sensors at a server in a substation data center;
the parameter acquisition unit is used for controlling the sensor array to actively acquire the state parameters of each server every preset time;
and the parameter generating unit is used for processing the state parameters by using each sensor as an edge calculating node in each group of sensor arrays to obtain the state monitoring parameters of each group of sensor arrays corresponding to each server.
Optionally, the array deployment unit includes:
the sensor deployment subunit is used for constructing a sensor unit comprising a temperature and humidity sensor and an acquired monitoring program;
and the array combination subunit is used for deploying the sensor units on each server in the substation data center by taking the group as a unit to obtain a sensor array formed by a preset number of sensor units.
Optionally, the parameter acquiring unit includes:
the signal generation subunit is used for triggering pulse signals for activating the sensor array to work in each preset time length;
and the parameter acquisition subunit is used for being stimulated by the pulse signal, and the sensor array acquires the state parameters of the server including the temperature and the humidity and the working parameters of the server according to the preset function type.
Optionally, the parameter generating unit is configured to:
the sensor processing subunit is used for acquiring a single state parameter by each sensor in each group of sensor arrays;
the parameter comparison subunit is used for comparing the single state parameter with a preset threshold value to obtain a processing result containing a server number corresponding to the current sensor and a characterization comparison result type;
and the parameter combination subunit is used for combining the position numbers of the sensors in each group of sensor arrays to obtain the state monitoring parameters which are output by each sensor array and correspond to each server.
Optionally, the parameter comparison subunit is specifically configured to:
determining a parameter type corresponding to a single state parameter, and selecting a numerical range allowed by the parameter type;
if the single state parameter is in the numerical range, generating an instruction representing that the monitoring is passed, and adding a server number to form a processing result;
if the single state parameter is outside or marginal to the value range, an instruction representing the monitoring failure is generated, and a server number is added to form a processing result.
The technical scheme provided by the invention has the beneficial effects that:
the server is monitored in multiple dimensions by the sensor array comprising the preset number of sensors, the working state of the current server can be effectively acquired, the server is effectively scheduled, and the situation that the permanent response time is prolonged due to the overweight load is reduced.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
Fig. 1 is a schematic flowchart of a state monitoring method based on edge calculation in a substation data center according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a state monitoring method and device based on edge calculation in a substation data center according to an embodiment of the present application.
Detailed Description
To make the structure and advantages of the present invention clearer, the structure of the present invention will be further described with reference to the accompanying drawings.
Example one
Specifically, the embodiment of the present application provides a state monitoring method based on edge calculation in a substation data center, as shown in fig. 1, including:
11. deploying a sensor array comprising a preset number of sensors at a server in a substation data center;
12. controlling a sensor array to actively acquire state parameters of each server every preset time;
13. and in each group of sensor arrays, each sensor is used as an edge calculation node to process the state parameters, and the state monitoring parameters of each group of sensor arrays corresponding to each server are obtained.
In implementation, the edge calculation further advances the concept of "processing power within LAN" for fog calculation, and the processing power is closer to the data source. The processing is not performed after the arrangement in the central server, but performed in each device in the network. Processing and communication assurance is possible by connecting the sensors to a programmable automation controller. The advantage compared to the fog calculation is that the number of single points of failure is smaller according to its nature. The respective devices act independently, so that the data can be judged to be stored locally, and sent to the cloud. Taking a dust collector as an example, in the solution of the edge calculation, the sensors respectively judge whether the dust is present or not and send a signal for starting the dust collector. With each step moving from cloud computing to fog computing and eventually to edge computing, a "smart device" is a device that processes information closer to the data source. Thus, with edge computing, intelligent analysis can be performed on a single machine, workstation, and mobile device on a local area network. It is like an automation controller in a factory; the intelligent device operates the machine, marks maintenance projects, and "up" shunts biographical data to cloud computing and enterprise deciders. Industrial data scientists receive data from the fog computing or cloud computing or service layer, can gain insight into the current operational state and help to make better predictions.
The embodiment of the application provides a state monitoring method based on edge calculation in a substation data center, and multi-dimensional real-time monitoring of a server is completed by means of a sensor array. Step 11 proposes a scheme for constructing a sensor array, which specifically includes:
111. constructing a sensor unit comprising a temperature and humidity sensor and a monitoring program for obtaining;
112. the sensor units are deployed on each server in the substation data center by taking a group as a unit, and a sensor array formed by a preset number of sensor units is obtained.
In implementation, there are multiple types of servers arranged in a substation data center, and each type of server is deployed with multiple sensors for acquiring network states and topological relations of the server. In an actual use process, the sensor referred to in this embodiment is not a narrow physical sensor, but includes a single program or program component that is capable of acquiring the utilization rate of the memory/CPU and that has a network detection function and a sniffing function, in addition to a single function sensor for acquiring the environmental temperature and humidity of the server device. The status of each server can be obtained in real time by calling so-called "sensors" either individually or in team. Each sensor unit here is the smallest combination that can obtain all kinds of state parameters of a single server. And the combination of a plurality of sensor units forms a sensor array covering a plurality of points to be measured of a single server.
121. triggering a pulse signal for activating the sensor array to work in each preset time period;
122. the sensor array collects the state parameters of the server including the temperature and the humidity and the working parameters of the server according to the preset function types after being stimulated by the pulse signals.
In practice, the activation of the sensor array is controlled by the excitation of a pulse signal, which is set to control all the sensors in the sensor array to start operating at the same time, ensuring that the consistency of the state parameters is obtained.
Optionally, step 13 provides obtaining a state monitoring parameter corresponding to each server output by each sensor array, including:
131. in each group of sensor arrays, each sensor acquires a single state parameter;
132. comparing the single state parameter with a preset threshold value to obtain a processing result containing a server number corresponding to the current sensor and a characterization comparison result type;
133. and acquiring the state monitoring parameters, which are output by each sensor array and correspond to each server, by combining the position numbers of the sensors in each group of sensor arrays.
In implementation, each group of sensor arrays needs to process a single state parameter obtained by each sensor, the specific processing process is 1321, a parameter type corresponding to the single state parameter is determined, and a value range allowed by the parameter type is selected;
1322. if the single state parameter is in the numerical range, generating an instruction representing that the monitoring is passed, and adding a server number to form a processing result;
1323. if the single state parameter is outside or marginal to the value range, an instruction representing the monitoring failure is generated, and a server number is added to form a processing result.
Whether the acquired state parameters are effective or not is judged by judging whether the single state parameters are in a numerical range or not, so that the influence of abnormal data on a final result is screened out. Meanwhile, the detailed state parameters are converted into a single result within a numerical range, so that the monitoring result is simple and clear, and misjudgment possibly caused by a large amount of data is prevented. Therefore, the working state of the current server can be effectively acquired, the server is effectively scheduled, and the situation that the permanent response time is prolonged due to the overweight load is reduced.
Example two
On the other hand, as shown in fig. 2, an embodiment of the present application further provides a state monitoring device 2 based on edge calculation in a substation data center, including:
the array deployment unit 21 is used for deploying a sensor array comprising a preset number of sensors at a server in a substation data center;
the parameter acquisition unit 22 is used for controlling the sensor array to actively acquire the state parameters of each server every preset time;
and the parameter generating unit 23 is configured to, in each group of sensor arrays, use each sensor as an edge calculating node to process the state parameter, so as to obtain a state monitoring parameter output by each group of sensor arrays and corresponding to each server.
In implementation, the edge calculation further advances the concept of "processing power within LAN" for fog calculation, and the processing power is closer to the data source. The processing is not performed after the arrangement in the central server, but performed in each device in the network. Processing and communication assurance is possible by connecting the sensors to a programmable automation controller. The advantage compared to the fog calculation is that the number of single points of failure is smaller according to its nature. The respective devices act independently, so that the data can be judged to be stored locally, and sent to the cloud. Taking a dust collector as an example, in the solution of the edge calculation, the sensors respectively judge whether the dust is present or not and send a signal for starting the dust collector. With each step moving from cloud computing to fog computing and eventually to edge computing, a "smart device" is a device that processes information closer to the data source. Thus, with edge computing, intelligent analysis can be performed on a single machine, workstation, and mobile device on a local area network. It is like an automation controller in a factory; the intelligent device operates the machine, marks maintenance projects, and "up" shunts biographical data to cloud computing and enterprise deciders. Industrial data scientists receive data from the fog computing or cloud computing or service layer, can gain insight into the current operational state and help to make better predictions.
The embodiment of the application provides a state monitoring method based on edge calculation in a substation data center, and multi-dimensional real-time monitoring of a server is completed by means of a sensor array. Wherein the array deployment unit 21 constructs a sensor array, comprising:
the sensor deployment subunit 211 is configured to construct a sensor unit including a temperature and humidity sensor and an acquired monitoring program;
and the array combination subunit 212 is configured to deploy the sensor units on each server in the substation data center in units of groups, so as to obtain a sensor array formed by a preset number of sensor units.
In implementation, there are multiple types of servers arranged in a substation data center, and each type of server is deployed with multiple sensors for acquiring network states and topological relations of the server. In an actual use process, the sensor referred to in this embodiment is not a narrow physical sensor, but includes a single program or program component that is capable of acquiring the utilization rate of the memory/CPU and that has a network detection function and a sniffing function, in addition to a single function sensor for acquiring the environmental temperature and humidity of the server device. The status of each server can be obtained in real time by calling so-called "sensors" either individually or in team. Each sensor unit here is the smallest combination that can obtain all kinds of state parameters of a single server. And the combination of a plurality of sensor units forms a sensor array covering a plurality of points to be measured of a single server.
The parameter collecting unit 22 provides a control sensor array to actively collect the state parameters of each server at preset time intervals, and includes:
the signal generation subunit 221 is configured to trigger a pulse signal for activating the sensor array to operate for each preset time period;
and the parameter acquiring subunit 222 is used for being stimulated by the pulse signal, and the sensor array acquires the state parameters of the server including the temperature and the humidity and the working parameters of the server according to the preset function types.
In practice, the activation of the sensor array is controlled by the excitation of a pulse signal, which is set to control all the sensors in the sensor array to start operating at the same time, ensuring that the consistency of the state parameters is obtained.
Optionally, the parameter generating unit 23 provides a state monitoring parameter for obtaining the output of each group of sensor arrays corresponding to each server, including:
a sensor processing subunit 231 for acquiring a single status parameter for each sensor in each set of sensor arrays;
the parameter comparison subunit 232 is configured to compare the single state parameter with a preset threshold to obtain a processing result including a server number corresponding to the current sensor and a type of a characterization comparison result;
and a parameter combining subunit 233, configured to, in combination with the position numbers of the sensors in each group of sensor arrays, obtain the state monitoring parameters output by each sensor array and corresponding to each server.
In practice, the parameter comparison subunit 232 proposes that the single state parameter obtained by each sensor in each sensor array needs to be processed, and the specific processing procedure is to process the single state parameter obtained by each sensor in each sensor array
Determining a parameter type corresponding to a single state parameter, and selecting a numerical range allowed by the parameter type;
if the single state parameter is in the numerical range, generating an instruction representing that the monitoring is passed, and adding a server number to form a processing result;
if the single state parameter is outside or marginal to the value range, an instruction representing the monitoring failure is generated, and a server number is added to form a processing result.
Whether the acquired state parameters are effective or not is judged by judging whether the single state parameters are in a numerical range or not, so that the influence of abnormal data on a final result is screened out. Meanwhile, the detailed state parameters are converted into a single result within a numerical range, so that the monitoring result is simple and clear, and misjudgment possibly caused by a large amount of data is prevented. Therefore, the working state of the current server can be effectively acquired, the server is effectively scheduled, and the situation that the permanent response time is prolonged due to the overweight load is reduced.
The sequence numbers in the above embodiments are merely for description, and do not represent the sequence of the assembly or the use of the components.
The above description is only exemplary of the present invention and should not be taken as limiting the invention, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The state monitoring method based on edge calculation in the transformer substation data center is characterized by comprising the following steps:
deploying a sensor array comprising a preset number of sensors at a server in a substation data center;
controlling a sensor array to actively acquire state parameters of each server every preset time;
and in each group of sensor arrays, each sensor is used as an edge calculation node to process the state parameters, and the state monitoring parameters of each group of sensor arrays corresponding to each server are obtained.
2. The method for monitoring the state based on the edge calculation in the substation data center according to claim 1, wherein a sensor array including a preset number of sensors is deployed at a server in the substation data center, and the method comprises the following steps:
constructing a sensor unit comprising a temperature and humidity sensor and a monitoring program for obtaining;
the sensor units are deployed on each server in the substation data center by taking a group as a unit, and a sensor array formed by a preset number of sensor units is obtained.
3. The method for monitoring the state based on the edge calculation in the substation data center according to claim 1, wherein the controlling the sensor array to actively acquire the state parameters of each server at intervals of a preset time comprises:
triggering a pulse signal for activating the sensor array to work in each preset time period;
the sensor array collects the state parameters of the server including the temperature and the humidity and the working parameters of the server according to the preset function types after being stimulated by the pulse signals.
4. The method for monitoring the state based on the edge calculation in the substation data center according to claim 1, wherein in each group of sensor arrays, each sensor is used as an edge calculation node to process the state parameters, so as to obtain the state monitoring parameters of each group of sensor arrays, which output the state monitoring parameters corresponding to each server, and the method comprises the following steps:
in each group of sensor arrays, each sensor acquires a single state parameter;
comparing the single state parameter with a preset threshold value to obtain a processing result containing a server number corresponding to the current sensor and a characterization comparison result type;
and acquiring the state monitoring parameters, which are output by each sensor array and correspond to each server, by combining the position numbers of the sensors in each group of sensor arrays.
5. The method for monitoring the state based on the edge calculation in the substation data center according to claim 4, wherein the comparing the single state parameter with a preset threshold value to obtain the processing result including the server number corresponding to the current sensor and the type of the characterization comparison result comprises:
determining a parameter type corresponding to a single state parameter, and selecting a numerical range allowed by the parameter type;
if the single state parameter is in the numerical range, generating an instruction representing that the monitoring is passed, and adding a server number to form a processing result;
if the single state parameter is outside or marginal to the value range, an instruction representing the monitoring failure is generated, and a server number is added to form a processing result.
6. State monitoring devices based on edge calculation in transformer substation's data center, its characterized in that, data transmission device includes:
the array deployment unit is used for deploying a sensor array comprising a preset number of sensors at a server in a substation data center;
the parameter acquisition unit is used for controlling the sensor array to actively acquire the state parameters of each server every preset time;
and the parameter generating unit is used for processing the state parameters by using each sensor as an edge calculating node in each group of sensor arrays to obtain the state monitoring parameters of each group of sensor arrays corresponding to each server.
7. The edge-computing-based condition monitoring device in a substation data center according to claim 6, wherein the array deployment unit comprises:
the sensor deployment subunit is used for constructing a sensor unit comprising a temperature and humidity sensor and an acquired monitoring program;
and the array combination subunit is used for deploying the sensor units on each server in the substation data center by taking the group as a unit to obtain a sensor array formed by a preset number of sensor units.
8. The edge-computing-based condition monitoring device in a substation data center according to claim 6, wherein the parameter acquisition unit comprises:
the signal generation subunit is used for triggering pulse signals for activating the sensor array to work in each preset time length;
and the parameter acquisition subunit is used for being stimulated by the pulse signal, and the sensor array acquires the state parameters of the server including the temperature and the humidity and the working parameters of the server according to the preset function type.
9. The condition monitoring device based on edge calculation in a substation data center according to claim 6, wherein the parameter generation unit is configured to:
the sensor processing subunit is used for acquiring a single state parameter by each sensor in each group of sensor arrays;
the parameter comparison subunit is used for comparing the single state parameter with a preset threshold value to obtain a processing result containing a server number corresponding to the current sensor and a characterization comparison result type;
and the parameter combination subunit is used for combining the position numbers of the sensors in each group of sensor arrays to obtain the state monitoring parameters which are output by each sensor array and correspond to each server.
10. A condition monitoring device based on edge calculation in a substation data center according to claim 9, characterized in that the parameter comparison subunit is specifically configured to:
determining a parameter type corresponding to a single state parameter, and selecting a numerical range allowed by the parameter type;
if the single state parameter is in the numerical range, generating an instruction representing that the monitoring is passed, and adding a server number to form a processing result;
if the single state parameter is outside or marginal to the value range, an instruction representing the monitoring failure is generated, and a server number is added to form a processing result.
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| CN202472920U (en) * | 2011-08-25 | 2012-10-03 | 合肥远见电力科技有限公司 | Automatic monitoring system for transformer station |
| US20140081475A1 (en) * | 2011-06-17 | 2014-03-20 | Limited Liability Company "Laboratoriya Intellektualnikh Setej I Sistem"-Llc "Lysis" | Automated system for monitoring, protecting and controlling electrical substation equipment |
| CN105204474A (en) * | 2015-10-10 | 2015-12-30 | 国家电网公司 | Transformer substation environment intelligent monitoring system |
| CN110830945A (en) * | 2019-11-14 | 2020-02-21 | 南昌诺汇医药科技有限公司 | Intelligent substation monitoring system |
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2020
- 2020-06-23 CN CN202010583386.9A patent/CN111818135B/en active Active
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140081475A1 (en) * | 2011-06-17 | 2014-03-20 | Limited Liability Company "Laboratoriya Intellektualnikh Setej I Sistem"-Llc "Lysis" | Automated system for monitoring, protecting and controlling electrical substation equipment |
| CN202472920U (en) * | 2011-08-25 | 2012-10-03 | 合肥远见电力科技有限公司 | Automatic monitoring system for transformer station |
| CN105204474A (en) * | 2015-10-10 | 2015-12-30 | 国家电网公司 | Transformer substation environment intelligent monitoring system |
| CN110830945A (en) * | 2019-11-14 | 2020-02-21 | 南昌诺汇医药科技有限公司 | Intelligent substation monitoring system |
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