CN116014886A - Method and system for judging and monitoring abnormal state of platform - Google Patents
Method and system for judging and monitoring abnormal state of platform Download PDFInfo
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Abstract
The invention provides a method and a system for judging and monitoring abnormal states of a platform area, and belongs to the field of power automation distribution. Comprising the following steps: the intelligent terminal of the district installs an APP for judging the state abnormality of the district, and the APP for judging the state abnormality of the district carries out data interaction with a data center in the intelligent terminal of the district and other APPs through an MQTT message bus based on an MQTT protocol; the method comprises the steps that a platform area state abnormality research and judgment APP obtains real-time data reported to a platform area intelligent terminal by each terminal device through a data center, the real-time data carries device numbers and device basic information, the types of the terminal devices comprise intelligent switch type devices and environment sensing type devices, the real-time data of the intelligent switch type devices are electrical data, and the real-time data of the environment sensing type devices are environment data; the method comprises the steps that a platform area state abnormality research and judgment APP is used for researching and judging real-time data based on a preset judgment standard to obtain research and judgment results; and the station area state abnormality research and judgment APP sends a research and judgment result to the data center.
Description
Technical Field
The invention relates to the technical field of monitoring of a platform area state, in particular to a method and a system for judging and monitoring abnormal platform area state.
Background
Along with the standardization of intelligent distribution transformer terminals established by national power grid companies, intelligent terminals of the transformer areas are online and popularized in batches, the construction of intelligent digital transformer areas is continuously advancing, and the types and the number of intelligent terminal equipment connected into the transformer areas are gradually increased. In the construction of low-voltage transformer areas, the monitoring of the comprehensive state of the transformer areas is mostly based on self-reporting of intelligent equipment bodies, and an effective centralized monitoring mode for the comprehensive running state of the transformer areas and environmental sensing equipment is lacked.
Disclosure of Invention
In view of this, the present invention provides a method and system for determining and monitoring abnormal states of a platform, which improves the comprehensive state monitoring mode of the platform, so as to improve the operation and maintenance efficiency and maintenance effect.
The technical scheme adopted by the embodiment of the invention for solving the technical problems is as follows:
a method for judging and monitoring abnormal states of a platform comprises the following steps:
the intelligent terminal of the platform region installs a platform region state abnormality research and judgment APP, and the platform region state abnormality research and judgment APP performs data interaction with a data center and other APPs in the intelligent terminal of the platform region through an MQTT message bus based on an MQTT protocol;
the method comprises the steps that the station area state abnormality research APP obtains real-time data reported to the station area intelligent terminal by each terminal device through the data center, the real-time data carries basic information of devices, the types of the terminal devices comprise intelligent switch devices and environment sensing devices, the real-time data types of the intelligent switch devices are real-time electric data, the real-time electric data comprise voltage, current, active power, reactive power and gate states, the real-time data types of the environment sensing devices are environment data, and the environment data comprise but are not limited to output water immersion values, smoke concentration values, temperature values and humidity values;
the platform area state abnormality research and judgment APP judges the real-time data based on a preset judgment standard to obtain a research and judgment result;
and the platform state abnormality research and judgment APP sends the research and judgment result to the data center.
Preferably, after the station area state abnormality research APP sends the research result to the data center, the method further includes:
and the intelligent terminal of the platform area sends the research and judgment result in the data center to a monitoring platform.
Preferably, the research and judgment result comprises APP static attribute information and APP real-time research and judgment result, wherein the APP static attribute information comprises APP application name, manufacturer and version, and one or more of the APP real-time research and judgment result abnormality type, abnormality occurrence time, abnormality related data and abnormality equipment detailed information;
when the type of the terminal equipment is the intelligent switch equipment, the area state abnormality research and judgment APP judges the real-time data based on a preset judgment standard, and comprises the following steps:
based on the real-time data of the terminal equipment, obtaining the APP real-time research and judgment result comprising the abnormality type, the abnormality occurrence time, the abnormality related data and the abnormality equipment detailed information, wherein the abnormality equipment basic information comprises equipment names, equipment types, equipment manufacturers, function position numbers, function position names and internet of things identifications of the terminal equipment, the abnormality type comprises but is not limited to overvoltage, undervoltage, open phase, overcurrent and power failure, and the abnormality related data comprises but is not limited to abnormal voltage values, abnormal current values and phase loss names;
when the type of the terminal equipment is the environment sensing equipment, the platform area state abnormality research and judgment APP judges the real-time data based on a preset judgment standard, and the real-time data comprises the following steps:
and judging the environmental data reported by the terminal equipment based on a preset judgment standard for the environmental sensing equipment to obtain the APP real-time research judgment result containing the abnormal type, the abnormal occurrence time and the detailed information of the abnormal equipment, wherein the abnormal type comprises but is not limited to smoke out-of-limit alarm, temperature out-of-limit alarm, humidity out-of-limit alarm and water immersion.
Preferably, after the intelligent terminal of the platform region installs the platform region state abnormality research and judgment APP, before the platform region state abnormality research and judgment APP obtains real-time data reported to the intelligent terminal of the platform region by each terminal device through the data center, the intelligent terminal further comprises:
the platform state abnormality research and judgment APP calls the MQTT message bus to issue a subscription subject request, and the subscription subject request is forwarded to the data center through the MQTT message bus;
the data center generates a subscription response message according to the subscription subject request, and calls the MQTT message bus to publish the subscription response message, and the subscription response message is forwarded to the platform area state abnormality research and judgment APP through the MQTT message bus.
Preferably, the MQTT message bus is used for providing a publishing and subscribing topic interface to the platform region state anomaly research APP and the data center;
the software running environment of the APP for judging the abnormal state of the platform is arm-linux-gnueabi-g++, arm-linux-gnueabi-gcc, vscode; the operating system of the data center is arm-Linux;
the communication interface of the data center adopts an MQTT+JSON mode, and JSON keys and values all adopt string types;
and outputting the zone state abnormality research and judgment APP to the data center, wherein the research and judgment result is a JSON format message body.
The invention also provides a system for judging and monitoring the abnormal state of the platform, which comprises the following steps: the intelligent terminal of the platform region is provided with an APP for judging the abnormal state of the platform region, and the APP for judging the abnormal state of the platform region performs data interaction with a data center and other APPs in the intelligent terminal of the platform region through an MQTT message bus based on an MQTT protocol; the intelligent terminal of the platform area is provided with a data center;
the station area state abnormality research and judgment APP comprises:
the data acquisition and analysis module is used for acquiring real-time data reported to the intelligent terminal of the platform area by each terminal device through the data center, wherein the real-time data carries basic information of the devices, the types of the terminal devices comprise intelligent switch devices and environment sensing devices, the real-time data types of the intelligent switch devices are real-time electric data, the real-time electric data comprise voltage, current, active power, reactive power and gate states, the real-time data types of the environment sensing devices are environment data, and the environment data comprise but are not limited to output water immersion values, smoke concentration values, temperature values and humidity values;
the logic judging module is used for judging the real-time data based on a preset judging standard to obtain a judging result;
the real-time reporting module is used for sending the research and judgment result to the data center;
the data center is used for feeding back the real-time data to the data acquisition and analysis module of the platform area state abnormality research and judgment APP; the device is also used for receiving and storing the research and judgment result;
the intelligent terminal of the platform area further comprises:
the sending module is used for sending the research and judgment result to the monitoring platform;
and the monitoring platform is used for receiving the research and judgment result reported by the intelligent terminal of the platform area.
Preferably, the research and judgment result includes static attribute information of the APP and real-time research and judgment result of the APP, and the logic research and judgment module includes:
the static attribute output unit is used for outputting the APP static attribute information, wherein the APP static attribute information comprises an APP name, a manufacturer and a version;
the dynamic data research and judgment and output unit is used for outputting the APP real-time research and judgment result, wherein the APP real-time research and judgment result is one or more of abnormality type, abnormality occurrence time, abnormality related data and abnormality equipment detailed information.
Preferably, when the type of the terminal device is the intelligent switch device, the dynamic data research, judgment and output unit:
based on the real-time data of the terminal equipment, obtaining the APP real-time research and judgment result comprising the abnormality type, the abnormality occurrence time, the abnormality related data and the abnormality equipment detailed information, wherein the abnormality equipment basic information comprises equipment names, equipment types, equipment manufacturers, function position numbers, function position names and internet of things identifications of the terminal equipment, the abnormality type comprises but is not limited to overvoltage, undervoltage, open phase, overcurrent and power failure, and the abnormality related data comprises but is not limited to abnormal voltage values, abnormal current values and phase loss names;
when the type of the terminal equipment is the environment sensing equipment, the dynamic data research, judgment and output unit:
and judging the environmental data reported by the terminal equipment based on a preset judgment standard for the environmental sensing equipment to obtain the APP real-time research judgment result containing the abnormal type, the abnormal occurrence time and the detailed information of the abnormal equipment, wherein the abnormal type comprises but is not limited to smoke out-of-limit alarm, temperature out-of-limit alarm, humidity out-of-limit alarm and water immersion.
Preferably, the station area state abnormality studying and judging APP further includes:
the subscription module is used for publishing a subscription topic request, and the subscription topic request is forwarded to the data center through the MQTT message bus;
the data center generates a subscription response message according to the subscription subject request and calls the MQTT message bus to publish the subscription response message, and the subscription response message is forwarded to the subscription module through the MQTT message bus.
Preferably, the MQTT message bus is used for providing a publishing and subscribing topic interface to the platform region state anomaly research APP and the data center; the software running environment of the APP for judging the abnormal state of the platform is arm-linux-gnueabi-g++, arm-linux-gnueabi-gcc, vscode; the operating system of the data center is arm-Linux;
the communication interface of the data center adopts an MQTT+JSON mode, and JSON keys and values all adopt string types; and outputting the zone state abnormality research and judgment APP to the data center, wherein the research and judgment result is a JSON format message body.
According to the technical scheme, the method and the system for judging and monitoring the abnormal state of the platform are provided, the intelligent terminal of the platform installs the APP for judging the abnormal state of the platform, wherein the APP for judging the abnormal state of the platform performs data interaction with a data center and other APPs in the intelligent terminal of the platform through an MQTT message bus based on an MQTT protocol; the method comprises the steps that a platform area state abnormality research and judgment APP obtains real-time data reported to a platform area intelligent terminal by each terminal device through a data center, the real-time data carries basic information of the devices, the types of the terminal devices comprise intelligent switch devices and environment sensing devices, the real-time data of the intelligent switch devices comprise electric data, and the real-time data of the environment sensing devices are environment data; the method comprises the steps that a platform area state abnormality research and judgment APP is used for researching and judging real-time data based on a preset judgment standard to obtain research and judgment results; and the station area state abnormality research and judgment APP sends a research and judgment result to the data center. The method of the invention can improve the comprehensive state monitoring mode of the platform area so as to improve the operation and maintenance efficiency and the maintenance effect.
Drawings
Fig. 1 is a flowchart of a method for determining and monitoring abnormal states of a platform according to the present invention.
FIG. 2 is a schematic diagram of data interaction.
Fig. 3 is a software general flow chart.
Fig. 4 is a detailed flowchart.
Detailed Description
The technical scheme and technical effects of the present invention are further elaborated below in conjunction with the drawings of the present invention.
The intelligent monitoring system and the intelligent monitoring method for the state of the intelligent substation are improvement of the existing intelligent substation terminal, comprehensive monitoring of the states of all terminal equipment in the substation is achieved by installing the intelligent substation state abnormality study and judgment APP in the intelligent substation terminal, abnormal states of the equipment are accurately analyzed and reported, abnormal positions are accurately located in real time, intelligent integrated management of a low-voltage distribution substation is achieved, and working efficiency of operation and inspection staff is improved.
The MQTT message bus is used for providing a publishing and subscribing theme interface for the platform area state abnormality research APP and the data center; the software running environment of the APP for judging the abnormal state of the platform region is arm-linux-gnueabi-g++, arm-linux-gnueabi-gcc, vscode; the operating system of the data center is arm-Linux;
the communication interface of the data center adopts an MQTT+JSON mode, and the JSON keys and the values all adopt string types; the output of the station area state abnormality research judging APP points to the data center.
As shown in fig. 1-4, the present invention provides a method for determining and monitoring abnormal states of a platform, which includes:
step S1, installing a platform state abnormality research and judgment APP by a platform intelligent terminal, wherein the platform state abnormality research and judgment APP performs data interaction with a data center and other APPs in the platform intelligent terminal through an MQTT message bus based on an MQTT protocol;
step S2, acquiring real-time data reported to an intelligent terminal of a transformer area by each terminal device through a data center by using a transformer area state abnormality research APP, wherein the types of the terminal devices comprise intelligent switch devices and environment sensing devices, the real-time data types of the intelligent switch devices are real-time electric data, the real-time electric data comprise voltage, current, active power, reactive power and gate states, the real-time data types of the environment sensing devices are environment data, and the environment data comprise but are not limited to output water immersion values, smoke concentration values, temperature values and humidity values;
step S3, the area state abnormality research and judgment APP researches and judges real-time data based on a preset judgment standard to obtain a research and judgment result;
and S4, transmitting a research and judgment result to the data center by the platform state abnormality research and judgment APP.
And S5, the intelligent terminal of the platform area sends the research and judgment result in the data center to the monitoring platform.
The research and judgment result comprises APP static attribute information and APP real-time research and judgment result, wherein the APP static attribute information comprises one or more of APP application name, manufacturer and version, APP real-time research and judgment result abnormality type, abnormality occurrence time, abnormality related data and abnormality equipment detailed information;
when the type of the terminal equipment is intelligent switch equipment, step s3 is specific implementation of the area state abnormality research and judgment APP based on preset judgment standard research and judgment real-time data:
acquiring APP real-time research and judgment results comprising abnormal type, abnormal occurrence time, abnormal related data and detailed information of abnormal equipment based on real-time data of terminal equipment facing to preset judgment standards of intelligent switch equipment, wherein basic information of the abnormal equipment comprises equipment name, equipment type, equipment manufacturer, function position number, function position name and Internet of things identification of the terminal equipment, the abnormal type comprises but is not limited to overvoltage, undervoltage, open phase, overcurrent and power failure, and the abnormal related data comprises but is not limited to abnormal voltage value, abnormal current value and phase missing name;
on the basis of acquiring basic information of the intelligent switch equipment, acquiring voltage data and a threshold value, comparing the voltage data with the threshold value, judging out-of-limit and obtaining an abnormal type, wherein the micro-application currently comprises the judging functions of abnormal conditions (and various abnormal recovery) such as overvoltage, undervoltage, open-phase, overload and power failure of the equipment. If the voltage exceeds 7% of the normal value, the overvoltage condition is considered, and if the voltage is lower than 10% of the normal value, the undervoltage condition is considered, and the brake state 0/1 judges the on/off condition, the power-off state and the like.
On the other hand, when the type of the terminal equipment is the environmental sensing equipment, step s3 is specific implementation of the area state abnormality research and judgment APP based on the preset judgment standard to research and judge real-time data:
based on the environmental data reported by the equipment at the judging end facing the preset judging standard of the environmental sensing equipment, obtaining APP real-time judging results containing abnormal types, abnormal occurrence time and detailed information of the abnormal equipment, wherein the environmental data comprises but is not limited to an output water leaching value, a smoke concentration value, a temperature value and a humidity value, and the abnormal types comprise but are not limited to smoke out-of-limit alarms, temperature out-of-limit alarms, humidity out-of-limit alarms and water leaching.
And acquiring the sensing data, the out-of-limit zone bit and other data of the sensing equipment on the basis of acquiring the basic information of the environmental sensing equipment. Abnormal conditions are judged by two methods: the first method obtains the environment data abnormal condition according to 0/1 of the out-of-limit zone bit, the second method can set a rationalization threshold according to the geographical position of the station area and the actual running condition, and compares the actual sensing value with the rationalization threshold to obtain the environment abnormal condition. The second priority is higher than the first, and the micro-application currently comprises judging functions of temperature and humidity abnormality beyond upper/lower limits, water immersion abnormality beyond limits, smoke concentration abnormality beyond limits, door magnetism abnormality and the like.
Referring to fig. 2, an interaction flow between a platform state abnormality research and judgment application and a data center in a platform intelligent terminal is described:
based on the MQTT protocol, the station state abnormality research and judgment APP writes a message interface according to a set rule, so that orderly interaction between APPs and a data center in the station intelligent terminal is realized. The key mechanism of message interaction is as follows:
(1) The message bus provides a publishing and subscribing topic interface, and the topic interface must conform to the interface specification;
(2) Providing a platform area state abnormality research and judgment APP of data, calling a bus to issue a message after the data is updated, forwarding the message to a data center after the bus receives the message, and feeding back a processing result to the platform area state abnormality research and judgment APP through the message bus by the data center in charge of data storage and management;
(3) The method comprises the steps of reading a platform state abnormality judging APP of data, firstly calling a message bus to issue a message, forwarding the message to a data center through the message bus, and feeding back a processing result to the platform state abnormality judging APP through the message bus after the data center finishes processing.
The data center core function is a call interface for storing and managing data and providing standards to the outside. The data center follows the following principles:
(1) The data center communication interface adopts an MQTT+JSON mode.
(2) The JSON keys and values are all of string type in the interface.
(3) The data model is an abstraction of a physical or virtual device by a data center, which manages the device with the data model.
(4) Data is classified and managed by devices (including physical devices and virtual devices).
(5) The data is classified and managed according to real-time data, frozen data, events and parameters, and each type of data has independent and standard interface call.
The program design of the APP is generally divided into three modules, namely a data acquisition and analysis module (comprising interface interaction, configuration parameter analysis, real-time data acquisition and analysis and the like), a logic research and judgment module (value comparison, core algorithm and the like) and a real-time reporting module (used for time recording, result output, reporting and the like).
The output of the APP points to a data center, and the research and judgment result of the JSON format message body is output, wherein the research and judgment result comprises APP static attribute information and APP real-time research and judgment result.
The overall flow of software is described in conjunction with fig. 3:
after the APP finishes the processes of registration, parameter configuration and the like, inquiring the data reported by the acquisition terminal equipment according to the data model through a specific interface, analyzing the data structure through a program, acquiring specified data items and numerical values, comparing with a configuration threshold value set according to the actual situation of a platform area, outputting out-of-limit alarms of environmental data such as water immersion, smoke concentration, temperature and humidity, outputting abnormal information such as overvoltage, overcurrent and phase failure of intelligent terminal equipment such as a breaker, an LTU and the like, and recording equipment positions, numbers, abnormal events, time information and the like.
The software detailed design description is described in connection with fig. 4:
the micro application (platform state abnormality research and judgment APP) configuration is deployed at a platform intelligent fusion terminal, firstly, a configuration file is read, an MQTT link is created, and the like, relevant topics in data interaction between a data center model and data are subscribed, and the micro application model is registered to the data center. After the registration confirmation of the micro application, operation initialization and configuration parameter analysis and assignment are carried out. And then the micro-application program respectively inquires the models and data of intelligent switch type and environment sensing type equipment in the data center through the MQTT (the inquiry period is configurable and good instantaneity is realized). And carrying out real-time data analysis according to the JSON message body obtained by query.
After the output result is obtained, the result is output to a data center according to a micro-application real-time data reporting interface and a fixed format. This process is performed in a loop during the running of the micro-application.
Further, the invention also provides a system for judging and monitoring abnormal state of the platform, which comprises: the system comprises a platform area intelligent terminal and a monitoring platform, wherein the platform area intelligent terminal is provided with a platform area state abnormality research and judgment APP, and the platform area state abnormality research and judgment APP performs data interaction with a data center and other APPs in the platform area intelligent terminal through an MQTT message bus based on an MQTT protocol; the intelligent terminal of the platform area is provided with a data center and a sending module;
the platform area state abnormality research and judgment APP comprises a subscription module, a data acquisition and analysis module, a logic research and judgment module and a real-time reporting module:
the subscription module is used for publishing a subscription topic request, and the subscription topic request is forwarded to the data center through the MQTT message bus;
the data center generates a subscription response message according to the subscription topic request and calls the MQTT message bus to publish the subscription response message, and the subscription response message is forwarded to the subscription module through the MQTT message bus.
The data acquisition and analysis module is used for acquiring real-time data reported to the intelligent terminal of the transformer area by each terminal device through the data center, wherein the real-time data carries basic information of the devices, the types of the terminal devices comprise intelligent switch devices and environment sensing devices, the real-time data types of the intelligent switch devices are real-time electric data, the real-time electric data comprise voltage, current, active power, reactive power and gate states, the real-time data types of the environment sensing devices are environment data, and the environment data comprise but are not limited to output water logging values, smoke concentration values, temperature values and humidity values;
the logic research and judgment module is used for researching and judging real-time data based on a preset judgment standard to obtain research and judgment results;
the real-time reporting module is used for sending the research and judgment result to the data center;
the data center is used for feeding back real-time data to the data acquisition and analysis module of the platform area state abnormality research and judgment APP; the device is also used for receiving and storing the research and judgment result;
the sending module is used for sending the research and judgment result to the monitoring platform;
and the monitoring platform is used for receiving the research and judgment result reported by the intelligent terminal of the platform area.
The research and judgment result comprises APP static attribute information and APP real-time research and judgment result.
The logic research judgment module comprises:
the static attribute output unit is used for outputting APP static attribute information, wherein the APP static attribute information comprises an APP name, a manufacturer and a version;
the dynamic data research and judgment and output unit is used for outputting one or more of APP real-time research and judgment results, abnormal types, abnormal occurrence time, abnormal related data and abnormal equipment detailed information.
Further, when the type of the terminal equipment is intelligent switch equipment, the dynamic data research, judgment and output unit:
acquiring APP real-time research and judgment results comprising abnormal type, abnormal occurrence time, abnormal related data and detailed information of abnormal equipment based on real-time data of terminal equipment facing to preset judgment standards of intelligent switch equipment, wherein basic information of the abnormal equipment comprises equipment name, equipment type, equipment manufacturer, function position number, function position name and Internet of things identification of the terminal equipment, the abnormal type comprises but is not limited to overvoltage, undervoltage, open phase, overcurrent and power failure, and the abnormal related data comprises but is not limited to abnormal voltage value, abnormal current value and phase missing name;
when the type of the terminal equipment is environment sensing equipment, the dynamic data research and judgment and output unit:
based on the environmental data reported by the equipment at the judging end facing the preset judging standard of the environmental sensing equipment, obtaining APP real-time judging results containing abnormal types, abnormal occurrence time and detailed information of the abnormal equipment, wherein the environmental data comprises but is not limited to an output water leaching value, a smoke concentration value, a temperature value and a humidity value, and the abnormal types comprise but are not limited to smoke out-of-limit alarms, temperature out-of-limit alarms, humidity out-of-limit alarms and water leaching.
The invention aims to effectively cover various intelligent terminal devices of a power distribution network through service application of an intelligent terminal of a transformer area, acquire various data of the low-voltage transformer area terminal device on site, and utilize an edge computing technology to real-time study and judge and accurately position abnormalities in the transformer area state, thereby realizing real-time and centralized intelligent management of the transformer area, reducing the cost and time of on-site operation and maintenance, improving the efficiency of operation and inspection staff and improving the digital construction level of the power distribution transformer area.
The invention has the following advantages: the intelligent fusion terminal has simple internal micro-application mode, the data is sent to a terminal data center, the standardized power distribution automation master station can be accessed, and the construction of a low-voltage distribution network and a station area is promoted; the comprehensive running state of the transformer area is monitored in multiple directions, accurately positioned and reported in real time, intelligent management visualization of the power distribution transformer area is realized, reliable data support is provided for first-line personnel, and the working efficiency of on-site operation and maintenance is improved; the single application can cover various switch type and sensing type devices, and side-to-side centralized monitoring management is realized.
The foregoing disclosure is illustrative of the preferred embodiments of the present invention, and is not to be construed as limiting the scope of the invention, as it is understood by those skilled in the art that all or part of the above-described embodiments may be practiced with equivalents thereof, which fall within the scope of the invention as defined by the appended claims.
Claims (10)
1. The method for judging and monitoring the abnormal state of the platform is characterized by comprising the following steps:
the intelligent terminal of the platform region installs a platform region state abnormality research and judgment APP, and the platform region state abnormality research and judgment APP performs data interaction with a data center and other APPs in the intelligent terminal of the platform region through an MQTT message bus based on an MQTT protocol;
the method comprises the steps that the station area state abnormality research APP obtains real-time data reported to the station area intelligent terminal by each terminal device through the data center, the real-time data carries basic information of devices, the types of the terminal devices comprise intelligent switch devices and environment sensing devices, the real-time data types of the intelligent switch devices are real-time electric data, the real-time electric data comprise voltage, current, active power, reactive power and gate states, the real-time data types of the environment sensing devices are environment data, and the environment data comprise but are not limited to output water immersion values, smoke concentration values, temperature values and humidity values;
the platform area state abnormality research and judgment APP judges the real-time data based on a preset judgment standard to obtain a research and judgment result;
and the platform state abnormality research and judgment APP sends the research and judgment result to the data center.
2. The method for studying and monitoring abnormal state of a platform as set forth in claim 1, wherein after the platform state abnormal studying and judging APP sends the studying and judging result to the data center, further comprising:
and the intelligent terminal of the platform area sends the research and judgment result in the data center to a monitoring platform.
3. The method for studying, judging and monitoring the abnormal state of the platform according to claim 2, wherein the studying and judging result comprises APP static attribute information and APP real-time studying and judging result, the APP static attribute information comprises APP application name, manufacturer and version, and the APP real-time studying and judging result is one or more of abnormal type, abnormal occurrence time, abnormal related data and abnormal equipment detailed information;
when the type of the terminal equipment is the intelligent switch equipment, the area state abnormality research and judgment APP judges the real-time data based on a preset judgment standard, and comprises the following steps:
based on the real-time data of the terminal equipment, obtaining the APP real-time research and judgment result comprising the abnormality type, the abnormality occurrence time, the abnormality related data and the abnormality equipment detailed information, wherein the abnormality equipment basic information comprises equipment names, equipment types, equipment manufacturers, function position numbers, function position names and internet of things identifications of the terminal equipment, the abnormality type comprises but is not limited to overvoltage, undervoltage, open phase, overcurrent and power failure, and the abnormality related data comprises but is not limited to abnormal voltage values, abnormal current values and phase loss names;
when the type of the terminal equipment is the environment sensing equipment, the platform area state abnormality research and judgment APP judges the real-time data based on a preset judgment standard, and the real-time data comprises the following steps:
and judging the environmental data reported by the terminal equipment based on a preset judgment standard for the environmental sensing equipment to obtain the APP real-time research judgment result containing the abnormal type, the abnormal occurrence time and the detailed information of the abnormal equipment, wherein the abnormal type comprises but is not limited to smoke out-of-limit alarm, temperature out-of-limit alarm, humidity out-of-limit alarm and water immersion.
4. The method for studying, judging and monitoring the abnormal state of the platform as set forth in claim 3, wherein after the intelligent terminal of the platform installs the platform state abnormal studying and judging APP, before the platform state abnormal studying and judging APP obtains real-time data reported to the intelligent terminal of the platform by each of the terminal devices through the data center, the method further comprises: the platform state abnormality research and judgment APP calls the MQTT message bus to issue a subscription subject request, and the subscription subject request is forwarded to the data center through the MQTT message bus;
the data center generates a subscription response message according to the subscription subject request, and calls the MQTT message bus to publish the subscription response message, and the subscription response message is forwarded to the platform area state abnormality research and judgment APP through the MQTT message bus.
5. The method for determining and monitoring abnormal state of a cell according to claim 4, wherein,
the MQTT message bus is used for providing a publishing and subscribing theme interface for the platform area state abnormality research and judgment APP and the data center;
the software running environment of the APP for judging the abnormal state of the platform is arm-linux-gnueabi-g++, arm-linux-gnueabi-gcc, vscode; the operating system of the data center is arm-Linux;
the communication interface of the data center adopts an MQTT+JSON mode, and JSON keys and values all adopt string types;
and outputting the zone state abnormality research and judgment APP to the data center, wherein the research and judgment result is a JSON format message body.
6. The system for judging and monitoring the abnormal state of the platform is characterized by comprising the following components: the intelligent terminal of the platform region is provided with an APP for judging the abnormal state of the platform region, and the APP for judging the abnormal state of the platform region performs data interaction with a data center and other APPs in the intelligent terminal of the platform region through an MQTT message bus based on an MQTT protocol; the intelligent terminal of the platform area is provided with a data center;
the station area state abnormality research and judgment APP comprises:
the data acquisition and analysis module is used for acquiring real-time data reported to the intelligent terminal of the platform area by each terminal device through the data center, wherein the real-time data carries basic information of the devices, the types of the terminal devices comprise intelligent switch devices and environment sensing devices, the real-time data types of the intelligent switch devices are real-time electric data, the real-time electric data comprise voltage, current, active power, reactive power and gate states, the real-time data types of the environment sensing devices are environment data, and the environment data comprise but are not limited to output water immersion values, smoke concentration values, temperature values and humidity values;
the logic judging module is used for judging the real-time data based on a preset judging standard to obtain a judging result;
the real-time reporting module is used for sending the research and judgment result to the data center;
the data center is used for feeding back the real-time data to the data acquisition and analysis module of the platform area state abnormality research and judgment APP; the device is also used for receiving and storing the research and judgment result;
the intelligent terminal of the platform area further comprises:
the sending module is used for sending the research and judgment result to the monitoring platform;
and the monitoring platform is used for receiving the research and judgment result reported by the intelligent terminal of the platform area.
7. The system for determining and monitoring abnormal state of a platform as claimed in claim 6, wherein the determination result includes APP static attribute information and APP real-time determination result, and the logic determination module comprises:
the static attribute output unit is used for outputting the APP static attribute information, wherein the APP static attribute information comprises an APP name, a manufacturer and a version;
the dynamic data research and judgment and output unit is used for outputting the APP real-time research and judgment result, wherein the APP real-time research and judgment result is one or more of abnormality type, abnormality occurrence time, abnormality related data and abnormality equipment detailed information.
8. The system for determining and monitoring abnormal states of a platform as claimed in claim 7, wherein:
when the type of the terminal equipment is the intelligent switch equipment, the dynamic data research, judgment and output unit: based on the real-time data of the terminal equipment, obtaining the APP real-time research and judgment result comprising the abnormality type, the abnormality occurrence time, the abnormality related data and the abnormality equipment detailed information, wherein the abnormality equipment basic information comprises equipment names, equipment types, equipment manufacturers, function position numbers, function position names and internet of things identifications of the terminal equipment, the abnormality type comprises but is not limited to overvoltage, undervoltage, open phase, overcurrent and power failure, and the abnormality related data comprises but is not limited to abnormal voltage values, abnormal current values and phase loss names;
when the type of the terminal equipment is the environment sensing equipment, the dynamic data research, judgment and output unit: and judging the environmental data reported by the terminal equipment based on a preset judgment standard for the environmental sensing equipment to obtain the APP real-time research judgment result containing the abnormal type, the abnormal occurrence time and the detailed information of the abnormal equipment, wherein the abnormal type comprises but is not limited to smoke out-of-limit alarm, temperature out-of-limit alarm, humidity out-of-limit alarm and water immersion.
9. The system for determining and monitoring abnormal states of a platform as claimed in claim 8, wherein:
the platform area state abnormality research and judgment APP further comprises:
the subscription module is used for publishing a subscription topic request, and the subscription topic request is forwarded to the data center through the MQTT message bus;
the data center generates a subscription response message according to the subscription subject request and calls the MQTT message bus to publish the subscription response message, and the subscription response message is forwarded to the subscription module through the MQTT message bus.
10. The system for studying and monitoring abnormal state of a platform as set forth in claim 9, wherein the MQTT message bus is used for providing a publish and subscribe topic interface to the platform state abnormality studying APP and the data center; the software running environment of the APP for judging the abnormal state of the platform is arm-linux-gnueabi-g++, arm-linux-gnueabi-gcc, vscode; the operating system of the data center is arm-Linux;
the communication interface of the data center adopts an MQTT+JSON mode, and JSON keys and values all adopt string types; and outputting the zone state abnormality research and judgment APP to the data center, wherein the research and judgment result is a JSON format message body.
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| CN116562852A (en) * | 2023-05-17 | 2023-08-08 | 国网安徽省电力有限公司黄山供电公司 | Distribution network power failure information management system based on knowledge graph |
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