CN111426345A - Distributed cable channel environment monitoring system, method and computer equipment - Google Patents
Distributed cable channel environment monitoring system, method and computer equipment Download PDFInfo
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- CN111426345A CN111426345A CN202010212841.4A CN202010212841A CN111426345A CN 111426345 A CN111426345 A CN 111426345A CN 202010212841 A CN202010212841 A CN 202010212841A CN 111426345 A CN111426345 A CN 111426345A
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Abstract
The application relates to a distributed cable channel environment monitoring system, a method and computer equipment, comprising: the method comprises the steps that environment monitoring data of a cable channel are collected by environment monitoring equipment and transmitted to a gateway node; the gateway node acquires environment monitoring data transmitted by a plurality of environment monitoring devices and transmits the environment monitoring data to the cloud server according to the distributed network; the cloud server calls an environment evaluation model to analyze the environment state of the environment monitoring data to obtain an evaluation result; and when a risk index exists in the evaluation result, sending early warning information to the power grid regulation and control terminal. The power grid regulation and control terminal monitors the state of the acquired environment monitoring data; when early warning information sent by a cloud server is received or risk indexes of environment monitoring data are monitored, a remote control instruction is sent to corresponding cable equipment; and the cable equipment receives and executes the remote control instruction issued by the power grid regulation and control terminal. By adopting the method, the monitoring efficiency of the environmental state and the environmental risk in the cable channel can be effectively improved.
Description
Technical Field
The application relates to the technical field of computers, in particular to a distributed cable channel environment monitoring system, a distributed cable channel environment monitoring method and computer equipment.
Background
The electric power system is an electric energy production and consumption system which consists of links such as a power plant, a power transmission and transformation line, a power supply and distribution station, power utilization and the like. The information and control system of the power system consists of various detection devices, communication devices, safety protection devices, automatic control devices and automatic monitoring and dispatching systems, and reasonable coordination of electric energy production and consumption is realized. The power cable is an important power device in a power system and is used for transmitting and distributing electric energy, and the power cable is commonly used for urban underground power grids, power station leading-out lines, power supply inside industrial and mining enterprises and power transmission lines under river-crossing seawater.
In practical application, most of power cable channels are laid in underground cable channels, cover plates are laid above the power cable channels to protect cables, internal spaces are narrow and closed, internal hidden dangers are difficult to find, large-scale accidents are further caused, and serious economic loss is caused. Because cable channel wide distribution is in each corner of urban power grid, relies on wired communication's mode to be difficult to realize full coverage's on-line monitoring, and traditional mode mainly is patrolled and examined through the manual work of high frequency and manages, and fault detection and environmental condition monitoring's efficiency are lower.
Disclosure of Invention
In view of the foregoing, there is a need to provide a distributed cable channel environment monitoring system, a method and a computer device, which can effectively improve monitoring efficiency of environmental conditions and environmental risks in a cable channel.
A distributed cable trench environmental monitoring system, the system comprising:
the environment monitoring equipment is used for acquiring environment monitoring data of a cable channel and transmitting the environment monitoring data to a related gateway node;
the gateway node is used for acquiring environment monitoring data transmitted by a plurality of environment monitoring devices and sending the acquired environment monitoring data to the cloud server according to the distributed network structure;
the cloud server is used for acquiring environment monitoring data sent by a plurality of gateway nodes, calling a trained environment evaluation model to analyze the environment state of the environment monitoring data, and obtaining an evaluation result; when risk indexes exist in the evaluation result, early warning information is sent to the power grid regulation and control terminal through the mapping interface;
the power grid regulation and control terminal is used for acquiring environment monitoring data and carrying out state monitoring on the environment monitoring data; when early warning information sent by the cloud server is received or the risk indicator of the environment monitoring data is monitored, a remote control instruction is sent to corresponding cable equipment;
and the cable equipment is used for receiving the remote control instruction issued by the power grid regulation and control terminal and executing the remote control instruction.
In one embodiment, the environment monitoring device is deployed in a cable channel in a distributed deployment manner, and includes a plurality of environment sensors, where the environment sensors include a temperature sensor, a humidity sensor, and a gas sensor, and are respectively used for acquiring temperature monitoring data, humidity monitoring data, and gas monitoring data; the environment monitoring device communicates with the gateway node through remote radio connection, and the gateway node communicates with the cloud server through internet of things connection.
In one embodiment, the environmental monitoring device communicates with the gateway node over an L oRa network, and the gateway node communicates with the cloud server over an NB-IoT network.
In one embodiment, the cloud server includes a master node and a plurality of slave nodes, the environment monitoring data includes an area identifier, the master node is configured to generate a plurality of environment evaluation tasks from the environment monitoring data according to the area identifier, and poll current load weights of the plurality of slave nodes to obtain current load balance of each slave node; selecting a corresponding slave node identifier for the environment evaluation task according to the current load balance of each slave node; and sequentially sending the plurality of environment evaluation tasks to the corresponding slave nodes according to the selected slave node identification, so that the plurality of slave nodes respectively call the plurality of distributed threads to process the plurality of environment evaluation tasks.
In one embodiment, an interface mapping table is deployed in the cloud server, and the interface mapping table includes mapping relationships corresponding to access permissions of a plurality of power grid regulation terminal identifiers and mapping relationships between the plurality of power grid regulation terminal identifiers and a plurality of cable devices.
A method of distributed cable trench environment monitoring, the method comprising:
acquiring environment monitoring data acquired by environment monitoring equipment transmitted by a plurality of gateway nodes;
calling a trained environment evaluation model to analyze the environment state of the environment monitoring data to obtain a plurality of analysis results;
when a risk index exists in the analysis result, early warning information is sent to the power grid regulation and control terminal which is associated and bound; and the power grid regulation and control terminal sends a remote control instruction to corresponding cable equipment according to the early warning information and the risk index, so that the cable equipment receives the remote control instruction sent by the power grid regulation and control terminal and executes the remote control instruction.
In one embodiment, the invoking the trained environment assessment model to perform the environment state analysis on the environment monitoring data, and obtaining the analysis result includes: inputting the environmental monitoring data into a trained environmental evaluation model, and extracting a plurality of environmental factor characteristics of the environmental monitoring data; calculating the weights of the environmental factor characteristics, and generating an environmental evaluation matrix corresponding to the environmental monitoring data according to the evaluation index characteristics and the corresponding weights; and calculating an analysis result corresponding to the environment monitoring data according to the environment evaluation matrix.
In one embodiment, the cloud server includes a master node and a plurality of slave nodes, the environment monitoring data includes an area identifier, and the method further includes: the main node generates an environment evaluation task from the environment monitoring data according to the area identification; the master node acquires the current load weights of a plurality of slave nodes, and selects corresponding slave node identifiers for the environment evaluation task according to the current load weight of each slave node; and distributing the plurality of environment evaluation tasks to corresponding slave nodes according to the selected slave node identifications, so that the plurality of slave nodes respectively call the plurality of distributed threads to carry out environment state evaluation processing on the plurality of environment evaluation tasks.
A computer device comprising a memory storing a computer program and a processor implementing the steps of the distributed cable channel environment monitoring method provided in any one of the embodiments of the present application when the computer program is executed.
A computer readable storage medium having stored thereon a computer program which, when executed by a processor, carries out the steps of the distributed cable trench environment monitoring method provided in any one of the embodiments of the present application.
According to the distributed cable channel environment monitoring system, method and computer equipment, the wide-area distributed cable channel online monitoring Internet of things system is built, and environment monitoring data collected by the environment monitoring equipment transmitted through a plurality of gateway nodes can be efficiently acquired. The cloud server carries out environmental state analysis on the obtained environmental monitoring data by calling the trained environmental evaluation model, so that a plurality of analysis index results can be accurately and effectively obtained, and real-time online monitoring of the cable channel can be realized. When risk indexes exist in the analysis index result, early warning information is sent to the power grid regulation and control terminal which is bound in a relevant mode; and the power grid regulation and control terminal sends a remote control instruction to the corresponding cable equipment according to the early warning information and the risk index, so that the corresponding cable equipment receives the remote control instruction sent by the power grid regulation and control terminal and executes corresponding operation processing according to the remote control instruction. Therefore, the environmental state of the environmental monitoring data collected in real time can be effectively evaluated, and the monitoring efficiency of the environmental state and the environmental risk in the cable channel can be effectively improved.
Drawings
FIG. 1 is a diagram illustrating an exemplary embodiment of a distributed cable raceway environment monitoring system;
FIG. 2 is a block diagram of a distributed cable trench environmental monitoring system in one embodiment;
FIG. 3 is a schematic drawing showing a partial plan view of a cable trench environmental monitoring system in one embodiment;
FIG. 4 is a schematic flow chart of a distributed cable channel environment monitoring method according to an embodiment;
FIG. 5 is a flowchart illustrating the environmental status analysis step in one embodiment;
FIG. 6 is a flowchart illustrating the environment assessment task assignment step in one embodiment;
FIG. 7 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The distributed cable channel environment monitoring system provided by the application can be applied to the application environment shown in fig. 1. The plurality of environment monitoring devices 102 communicate with the gateway node 104 through a network, the gateway node 104 communicates with the cloud server 106 through the network, the cloud server 106 communicates with the grid regulation terminal 108 through the network, and the grid regulation terminal 108 communicates with the cable device 110 through the network. The environmental monitoring device 102 collects environmental monitoring data in the cable channel in real time and transmits the collected environmental monitoring data to the gateway node 104. The gateway node 104 acquires environment monitoring data acquired by the plurality of environment monitoring devices 102, and transmits the acquired environment monitoring data to the cloud server 106 according to the distributed network structure. After the cloud server 106 acquires the environment monitoring data sent by the multiple gateway nodes, the trained environment evaluation model is called to perform environment state analysis on the acquired environment monitoring data, and an evaluation result is obtained. And when the risk index exists in the evaluation result, sending early warning information to the power grid regulation and control terminal 108 through the mapping interface. The power grid regulation and control terminal 108 acquires environment monitoring data and performs state monitoring on the environment monitoring data; when receiving the early warning information sent by the cloud server 106 or monitoring that the environmental monitoring data has a risk indicator, sending a remote control instruction to the corresponding cable device 110. The cable device 110 receives the remote control command issued by the grid regulation and control terminal 108 and executes the remote control command. The cloud server 106 may be implemented by a stand-alone server or a server cluster composed of a plurality of servers.
In one embodiment, as shown in fig. 2, a distributed cable channel environmental monitoring system is provided, the system comprising an environmental monitoring device 202, a gateway node 204, a cloud server 206, a grid regulation terminal 208, and a cable device 210, wherein:
the environment monitoring equipment 202 is used for acquiring environment monitoring data of a cable channel and transmitting the environment monitoring data to the gateway node;
the gateway node 204 is configured to acquire environment monitoring data uploaded by a plurality of environment monitoring devices, and send the acquired environment monitoring data to a cloud server according to a distributed network structure;
the cloud server 206 is configured to obtain environment monitoring data sent by multiple gateway nodes, and call a trained environment evaluation model to perform environment state analysis on the obtained environment monitoring data to obtain an evaluation result; when risk indexes exist in the evaluation result, early warning information is sent to the power grid regulation and control terminal through the mapping interface;
the power grid regulation and control terminal 208 is used for acquiring environment monitoring data and performing state monitoring on the environment monitoring data; when early warning information sent by a cloud server is received or risk indexes of environment monitoring data are monitored, a remote control instruction is sent to corresponding cable equipment;
and the cable equipment 210 is configured to receive a remote control instruction issued by the power grid regulation and control terminal and execute the remote control instruction.
In this embodiment of the application, the distributed cable channel environment monitoring system may be an internet of things system based on an internet of things architecture, and the internet of things system may include a sensing layer, a network layer, a data layer, and an application layer. The perception layer includes environmental monitoring equipment, and environmental monitoring equipment includes multiple environmental sensor, and environmental sensor includes temperature sensor, humidity transducer and gas sensor, and temperature sensor can gather the temperature monitoring data in the cable channel in real time, and humidity transducer can gather the humidity monitoring data in the cable channel in real time, and gas sensor can gather the gas monitoring data in the cable channel in real time. The perception layer is mainly used for perceiving and monitoring the environmental state of the cable channel environment, and comprises temperature sensors, humidity sensors, gas sensors and the like which are distributed in the wide-area cable channel.
The network layer comprises environment monitoring equipment and a gateway node, the gateway node can support long-distance Radio communication and Internet of Things communication, the environment monitoring equipment and the gateway node can communicate through long-distance Radio connection, for example, can communicate through L oRa (L ong Range Radio) network, the gateway node can communicate with a cloud server through Internet of Things connection, for example, can communicate through NB-IoT (Narrow Band Internet of Things) network, the gateway node can be gateway equipment supporting L oRa-NB-IoT network, the gateway node is used for acquiring environment monitoring data uploaded by a plurality of environment monitoring equipment and sending the acquired environment monitoring data to the cloud server according to a distributed network structure, the network layer is used for transmitting acquisition quantity, state quantity and control commands of the sensing layer, the sensing layer can communicate with each other through L oRa equipment after acquiring corresponding data and collect data information to the nearest L oRa-NB-IoT gateway, and high-capacity remote data communication is realized through the gateway equipment.
The data layer comprises cloud servers corresponding to the cloud ends, and the cloud servers can be realized by independent servers or a server cluster consisting of a plurality of servers. The data layer is used for storing, managing and analyzing data collected by the network layer at the cloud end, and evaluating the environment state of the cable channel through comparison of a safety threshold and historical data. The cloud server can acquire and store environment monitoring data sent by a plurality of gateway nodes, and call a trained environment evaluation model to analyze the environment state of the acquired environment monitoring data to obtain a plurality of evaluation results. And when a risk index exists in the evaluation result, sending early warning information to the power grid regulation and control terminal through a pre-configured mapping interface.
The application layer comprises a power grid regulation and control terminal and cable equipment corresponding to the power grid regulation and control center. The application layer initiates data access through a standard protocol through a mapping interface reserved in the data layer, performs advanced application on the data processed by the data layer, and is used for sending early warning information to a power grid regulation and control terminal corresponding to operation and maintenance personnel and remotely controlling automation equipment such as cable channel ventilation equipment. And after the power grid regulation and control terminal acquires the environment monitoring data, carrying out state monitoring on a plurality of items of environment monitoring data. And when receiving early warning information sent by the cloud server or monitoring that risk indexes exist in the environment monitoring data, sending a remote control instruction to corresponding cable equipment. And after the cable equipment receives the remote control instruction sent by the power grid regulation and control terminal, carrying out corresponding operation processing according to the remote control instruction.
The distributed cable channel environment monitoring system in the embodiment can efficiently acquire environment monitoring data acquired by environment monitoring equipment transmitted through a plurality of gateway nodes by building a wide-area distributed cable channel online monitoring internet of things system. The problems that cable channels in cities are wide in distribution and large in quantity and are difficult to accurately monitor are solved. The intelligent sensing layer is used for monitoring the humidity, the temperature and the gas content in the cable channel in real time, so that the reliability of the operation of the cable is guaranteed, the risk of the operation of the cable can be effectively reduced, the safety of operation and maintenance personnel is guaranteed, the service life of the cable is prolonged, and the cost is greatly reduced compared with a wired monitoring mode. Therefore, the real-time online monitoring of the cable channel can be realized, and the safety and reliability of the power grid are improved. By establishing the distributed communication network of the environment monitoring equipment and the gateway nodes, a low-cost, large-area, long-distance and low-power-consumption wireless communication mode is provided, the service life of a sensor in the environment monitoring equipment can be obviously prolonged, the cost caused by frequent battery replacement is reduced, and meanwhile, a chain communication network is established between the sensor and between the sensor and the gateway, so that the problems of network construction cost and long-distance transmission can be solved.
In the distributed cable channel environment monitoring system, the environment monitoring data collected by the environment monitoring equipment transmitted through the plurality of gateway nodes can be efficiently acquired by building the wide-area distributed cable channel online monitoring Internet of things system. The cloud server carries out environmental state analysis on the obtained environmental monitoring data by calling the trained environmental evaluation model, so that a plurality of analysis index results can be accurately and effectively obtained, and real-time online monitoring of the cable channel can be realized. When risk indexes exist in the analysis index result, early warning information is sent to the power grid regulation and control terminal which is bound in a relevant mode; and the power grid regulation and control terminal sends a remote control instruction to the corresponding cable equipment according to the early warning information and the risk index, so that the corresponding cable equipment receives the remote control instruction sent by the power grid regulation and control terminal and executes corresponding operation processing according to the remote control instruction. Therefore, the environmental state of the environment monitoring data collected in real time can be effectively evaluated, so that the fault monitoring efficiency of the cable channel and the monitoring efficiency of the environmental state and the environmental risk in the cable channel can be effectively improved
In one embodiment, a plurality of environment monitoring devices are deployed in a cable channel in a distributed deployment manner, each environment monitoring device comprises a plurality of environment sensors, and each environment sensor comprises a temperature sensor, a humidity sensor and a gas sensor which are respectively used for acquiring temperature monitoring data, humidity monitoring data and gas monitoring data; the environment monitoring equipment is communicated with the gateway node through remote wireless connection, and the gateway node is communicated with the cloud server through internet of things connection.
According to the distribution structure of the cable channel, a plurality of environment monitoring devices are distributed in the cable channel, the environment monitoring devices comprise a plurality of environment sensors for detecting environment data, and the environment sensors can comprise temperature sensors, humidity sensors and gas sensors. The temperature sensor, the humidity sensor and the gas sensor can be integrated sensor monitoring equipment or can be independent sensors. The environment monitoring equipment is deployed at the corresponding position according to the distribution structure of the cable channel.
The cable channel can further comprise a plurality of environment monitoring device nodes, each environment monitoring device node can correspond to a plurality of environment monitoring devices in a corresponding area, and the environment monitoring device nodes can acquire environment monitoring data acquired by the plurality of environment monitoring devices bound in a relevant mode. The environmental monitoring device node and the gateway node communicate over a long range radio connection. Each gateway is associated and bound with a plurality of environment monitoring device nodes in a corresponding area, and the gateway node can acquire environment monitoring data transmitted by the plurality of environment monitoring device nodes associated and bound.
The gateway node is connected with the cloud server through the Internet of things for communication. After the gateway node acquires the environment monitoring data transmitted by the environment monitoring equipment node, the acquired environment monitoring data is uploaded to the cloud server through the network, so that the cloud server performs environment state analysis and risk assessment on the acquired environment monitoring data. By establishing the distributed communication network of the environment monitoring equipment and the gateway node as well as the gateway node and the cloud server, the environment state of the environment monitoring data collected in real time can be effectively evaluated, and therefore the fault detection efficiency and the environment state monitoring efficiency of a cable channel can be effectively improved.
In one embodiment, the environmental monitoring device communicates with the gateway node over an L oRa network, and the gateway node communicates with the cloud server over an NB-IoT network.
The IOT (The Internet of things) is a device and technology which collects any object or process needing monitoring, connection and interaction in real time through various information sensors, Radio frequency identification technology, global positioning system, infrared sensor, laser scanner and The like, collects various required information of sound, light, heat, electricity, mechanics, chemistry, biology, position and The like, and realizes The ubiquitous connection of The object and The person through various possible network accesses, thereby realizing The intelligent sensing, identification and management of The object and The process.
The NB-IoT communication mode can effectively support cellular data connection of low-power consumption equipment in a wide area network, can effectively realize efficient connection of network connection of gateway equipment, and can also effectively ensure cellular data connection coverage of a cable channel.
By constructing the L oRa-NB-IoT network-based distributed cable channel environment monitoring system, the environment monitoring data can be effectively collected in real time, so that the environment state of the environment monitoring data can be efficiently evaluated, and the monitoring efficiency of the cable channel environment state is effectively improved.
Fig. 3 is a schematic partial plan view of a cable channel environment monitoring system based on L oRa-NB-IoT network according to an embodiment, where a dotted line portion in fig. 3 may be a local cable channel deployed in a certain region, a plurality of environment monitoring device nodes and a plurality of gateway nodes are deployed in the cable channel, circular dots shown in fig. 3 may be sensor nodes corresponding to the environment monitoring devices, and rectangular dots may be gateway nodes, the plurality of sensor nodes and the gateway nodes perform data transmission through L oRa network, and the gateway nodes communicate with a base station through the NB-IoT network, so as to send environment monitoring data to a cloud server through the base station, thereby effectively monitoring an environment state of the environment monitoring data.
In one embodiment, the cloud server comprises a master node and a plurality of slave nodes, the environment monitoring data comprises area identifiers, the master node is used for generating a plurality of environment evaluation tasks according to the area identifiers from the environment monitoring data, and polling current load weights of the plurality of slave nodes to obtain current load balance of each slave node; selecting a corresponding slave node identifier for the environment evaluation task according to the current load balance of each slave node; and sequentially sending the plurality of environment evaluation tasks to the corresponding slave nodes according to the selected slave node identification, so that the plurality of slave nodes respectively call the plurality of distributed threads to process the plurality of environment evaluation tasks.
The cloud server may be a cloud server cluster, the cloud server cluster includes a master node and a plurality of slave nodes, and the cloud server may be a master server in the server cluster, that is, a master node. After receiving the plurality of environment monitoring data uploaded by the plurality of gateway nodes, the host node of the cloud server generates a plurality of environment evaluation tasks according to the area identification. For example, the cloud server may generate a corresponding environment evaluation task from a plurality of pieces of environment monitoring data corresponding to the same certain area identifier, so as to generate a plurality of corresponding environment evaluation tasks from a plurality of pieces of environment monitoring data of different area identifiers, respectively.
After the master node generates a plurality of environment evaluation tasks, polling is carried out on the current load weights of a plurality of slave nodes in the cluster, and the current load weight of each slave node is obtained. In particular, the current load weight may be a ratio of the current load information of each slave node to the node performance parameter. For example, the node performance parameters may include index parameters such as the number of CPUs, the CPU frequency, the memory capacity, the disk rate, and the network throughput. The current load information of the slave node may include index information such as CPU occupancy, memory occupancy, and network broadband occupancy.
And the master node selects a corresponding slave node identifier for the environment evaluation task according to the current load weight of each slave node. The master node may further perform smoothing processing on the current load weight corresponding to the selected slave node identifier, and select a slave node identifier corresponding to a next resource acquisition request by using a result after the smoothing processing until corresponding slave node identifiers are selected for the plurality of environment evaluation tasks. And the master node sequentially sends the plurality of environment evaluation tasks to the corresponding slave nodes according to the selected slave node identification, so that the plurality of slave nodes respectively call the plurality of distributed threads to process the plurality of environment evaluation tasks.
After receiving the environment evaluation task from the node, inputting the environment monitoring data into a trained environment evaluation model, and extracting a plurality of environment factor characteristics of the environment monitoring data; calculating the weights of the environmental factor characteristics, and generating an environmental evaluation matrix corresponding to the environmental monitoring data according to the evaluation indexes and the corresponding weights; calculating an evaluation result corresponding to the environmental monitoring data according to an environmental evaluation matrix; when an evaluation index exceeding the early warning threshold value exists in the evaluation result, sending early warning prompt information to the power grid regulation and control terminal; and the power grid regulation and control terminal issues a remote control instruction to the cable equipment according to the evaluation result so as to process the corresponding environmental risk and ensure the environmental safety of the cable channel.
In the embodiment, the plurality of environment evaluation tasks are distributed according to the current load weights of the plurality of slave nodes in the cloud server, so that the plurality of slave nodes in the cluster can respectively perform parallel processing on the plurality of environment evaluation tasks, and the processing efficiency of the environment evaluation tasks can be effectively improved.
In one embodiment, an interface mapping table is deployed in the cloud server, and the interface mapping table includes mapping relationships corresponding to access permissions of a plurality of power grid regulation terminal identifiers and mapping relationships between the plurality of power grid regulation terminal identifiers and a plurality of cable devices.
The data layer in the distributed cable channel environment monitoring system comprises a pre-configured mapping interface. Specifically, the distributed cable channel environment monitoring system comprises a plurality of gateway nodes, a plurality of power grid regulation and control terminals and a plurality of cable devices. The cloud server can be associated with the interfaces of the power grid regulation and control terminal, configure mapping relations corresponding to the access authorities of the multiple power grid regulation and control terminal identifications, can also pre-configure mapping relations between the multiple power grid regulation and control terminal identifications and the multiple cable devices, and generate corresponding interface mapping tables. The interface mapping table can also be an interface mapping table corresponding to a distributed system structure corresponding to a distributed cable channel environment monitoring system, so that the environment monitoring data acquired in real time can be effectively acquired, and the environment state of the environment monitoring data of the cable channel can be effectively evaluated.
In an embodiment, as shown in fig. 4, a distributed cable channel environment monitoring method is provided, which is described by taking the method as an example for being applied to the cloud server in fig. 1, and includes the following steps:
And step 404, calling the trained environment evaluation model to perform environment state analysis on the acquired environment monitoring data to obtain a plurality of analysis index results.
A plurality of environment monitoring devices in the distributed cable channel environment monitoring system can acquire environment monitoring data in a cable channel in real time. Wherein, environmental monitoring equipment can include multiple environmental sensor, and environmental sensor can include temperature sensor, humidity transducer and gas sensor, is used for gathering temperature monitoring data, humidity monitoring data and gas monitoring data respectively. The sensor node in the cable channel can acquire environmental monitoring data acquired by a plurality of environmental monitoring devices and upload the acquired environmental monitoring data to the associated and bound gateway node. And the plurality of gateway nodes respectively transmit the received environment monitoring data to the cloud server according to the pre-deployed distributed network.
After the cloud server acquires the environmental monitoring data acquired by the environmental monitoring equipment transmitted by the plurality of gateway nodes, the trained environmental evaluation model is called to analyze the environmental state of the acquired environmental monitoring data, and a plurality of analysis index results are obtained. The environment evaluation model can be obtained by learning and training in advance by using a large amount of historical environment monitoring data.
Specifically, the cloud server inputs the environment monitoring data into a trained environment evaluation model, a plurality of environment factor features of the environment monitoring data are extracted, weights of the environment factor features are calculated, an environment evaluation matrix corresponding to the environment monitoring data is generated according to the evaluation index features and the corresponding weights, an analysis result corresponding to the environment monitoring data is calculated according to the environment evaluation matrix, and therefore the analysis result corresponding to the environment monitoring data can be accurately and effectively evaluated.
When risk indexes exist in the analysis index result, early warning information is sent to the power grid regulation and control terminal which is bound in a relevant mode; and the power grid regulation and control terminal sends a remote control instruction to the corresponding cable equipment according to the early warning information and the risk index, so that the corresponding cable equipment receives the remote control instruction sent by the power grid regulation and control terminal and executes corresponding operation processing according to the remote control instruction.
In the distributed cable channel environment monitoring, the cloud server can efficiently acquire environment monitoring data acquired by environment monitoring equipment transmitted through a plurality of gateway nodes by building a wide-area distributed cable channel online monitoring Internet of things system. The cloud server carries out environmental state analysis on the obtained environmental monitoring data by calling the trained environmental evaluation model, so that a plurality of analysis index results can be accurately and effectively obtained, and real-time online monitoring of the cable channel can be realized. When risk indexes exist in the analysis index result, early warning information is sent to the power grid regulation and control terminal which is bound in a relevant mode; and the power grid regulation and control terminal sends a remote control instruction to the corresponding cable equipment according to the early warning information and the risk index, so that the corresponding cable equipment receives the remote control instruction sent by the power grid regulation and control terminal and executes corresponding operation processing according to the remote control instruction. Therefore, the environmental state of the environmental monitoring data collected in real time can be effectively evaluated, and the monitoring efficiency of the environmental state and the environmental risk in the cable channel can be effectively improved.
In an embodiment, as shown in fig. 5, the step of calling the trained environment assessment model to perform environment state analysis on the environment monitoring data to obtain an analysis result specifically includes the following steps:
And step 504, calculating the weights of the plurality of environmental factor characteristics, and generating an environmental evaluation matrix corresponding to the environmental monitoring data according to the plurality of evaluation index characteristics and the corresponding weights.
And step 506, calculating an analysis result corresponding to the environment monitoring data according to the environment evaluation matrix.
After the cloud server acquires the environmental monitoring data acquired by the environmental monitoring equipment transmitted by the plurality of gateway nodes, the trained environmental evaluation model is called to analyze the environmental state of the acquired environmental monitoring data. Specifically, the cloud server inputs the environmental monitoring data into a trained environmental assessment model, and extracts a plurality of environmental factor characteristics of the environmental monitoring data. And calculating the weights of the plurality of environmental factor characteristics, and generating an environmental evaluation matrix corresponding to the environmental monitoring data according to the plurality of evaluation index characteristics and the corresponding weights.
Further, the cloud server can calculate a first decision weight of the plurality of environmental factor characteristics according to the environmental state index. The cloud server can also calculate information entropy values of the environmental factor characteristics, calculate second decision weights of the environmental factor characteristics according to the information entropy values of the environmental factor characteristics, and further generate a weight matrix corresponding to the environmental monitoring data according to the first decision weights and the second decision weights of the environmental factor characteristics.
And the cloud server calculates an analysis result corresponding to the environment monitoring data according to the environment evaluation matrix. And when the risk indexes exist in the analysis index result, sending early warning information to the power grid regulation and control terminal which is associated and bound. And the power grid regulation and control terminal sends a remote control instruction to the corresponding cable equipment according to the early warning information and the risk index, so that the corresponding cable equipment receives the remote control instruction sent by the power grid regulation and control terminal and executes corresponding operation processing according to the remote control instruction. The environmental monitoring data are analyzed through the environmental evaluation model, so that the environmental state of the collected environmental monitoring data can be accurately and effectively evaluated, and the monitoring efficiency and accuracy of fault detection and environmental state monitoring of the cable channel can be effectively improved.
In one embodiment, as shown in fig. 6, the cloud server includes a master node and a plurality of slave nodes, the environment monitoring data includes an area identifier, and the method further includes a step of an environment evaluation task, where the step specifically includes the following steps:
and step 602, the main node generates an environment evaluation task according to the area identification and the environment monitoring data.
And step 604, the master node acquires the current load weights of the plurality of slave nodes, and selects a corresponding slave node identifier for the environment evaluation task according to the current load weight of each slave node.
The cloud server may be a cloud server cluster, the cloud server cluster includes a master node and a plurality of slave nodes, and the cloud server may be a master server in the server cluster, that is, a master node. The environmental monitoring data includes an area identification, which may be, for example, an identification of an area corresponding to the environmental monitoring device.
After receiving the plurality of environment monitoring data uploaded by the plurality of gateway nodes, the host node of the cloud server generates a plurality of environment evaluation tasks according to the area identification. For example, the cloud server may generate a corresponding environment evaluation task from a plurality of pieces of environment monitoring data corresponding to the same certain area identifier, so as to generate a plurality of corresponding environment evaluation tasks from a plurality of pieces of environment monitoring data of different area identifiers, respectively.
After the master node generates a plurality of environment evaluation tasks, polling is carried out on the current load weights of a plurality of slave nodes in the cluster, and the current load weight of each slave node is obtained. And the master node selects a corresponding slave node identifier for the environment evaluation task according to the current load weight of each slave node. The master node may further perform smoothing processing on the current load weight corresponding to the selected slave node identifier, and select a slave node identifier corresponding to a next resource acquisition request by using a result after the smoothing processing until corresponding slave node identifiers are selected for the plurality of environment evaluation tasks. And the master node sequentially sends the plurality of environment evaluation tasks to the corresponding slave nodes according to the selected slave node identification, so that the plurality of slave nodes respectively call the plurality of distributed threads to process the plurality of environment evaluation tasks.
And after receiving the environment evaluation task from the node, calling the trained environment evaluation model to perform environment state analysis on the acquired environment monitoring data to obtain a plurality of analysis index results. The plurality of environment evaluation tasks are distributed according to the current load weights of the plurality of slave nodes in the cloud server, so that the plurality of slave nodes in the cluster can respectively perform parallel processing on the plurality of environment evaluation tasks, and the processing efficiency of the environment evaluation tasks can be effectively improved.
It should be understood that although the various steps in the flow charts of fig. 4-6 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 4-6 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternating with other steps or at least some of the sub-steps or stages of other steps.
In one embodiment, a computer device is provided, which may be a cloud server, and its internal structure diagram may be as shown in fig. 7. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer equipment is used for storing data such as environment monitoring data, an interface mapping table and the like. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement the steps of the distributed cable channel environment monitoring method provided in any one of the embodiments of the present application.
Those skilled in the art will appreciate that the architecture shown in fig. 7 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the distributed cable channel environment monitoring method provided in any one of the embodiments of the present application.
It will be understood by those of ordinary skill in the art that all or a portion of the processes of the methods of the embodiments described above may be implemented by a computer program that may be stored on a non-volatile computer-readable storage medium, which when executed, may include the processes of the embodiments of the methods described above, wherein any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A distributed cable trench environmental monitoring system, the system comprising:
the environment monitoring equipment is used for acquiring environment monitoring data of a cable channel and transmitting the environment monitoring data to a related gateway node;
the gateway node is used for acquiring environment monitoring data transmitted by a plurality of environment monitoring devices and sending the acquired environment monitoring data to the cloud server according to the distributed network structure;
the cloud server is used for acquiring environment monitoring data sent by a plurality of gateway nodes, calling a trained environment evaluation model to analyze the environment state of the environment monitoring data, and obtaining an evaluation result; when risk indexes exist in the evaluation result, early warning information is sent to the power grid regulation and control terminal through the mapping interface;
the power grid regulation and control terminal is used for acquiring environment monitoring data and carrying out state monitoring on the environment monitoring data; when early warning information sent by the cloud server is received or the risk indicator of the environment monitoring data is monitored, a remote control instruction is sent to corresponding cable equipment;
and the cable equipment is used for receiving the remote control instruction issued by the power grid regulation and control terminal and executing the remote control instruction.
2. The system of claim 1, wherein the environmental monitoring device is deployed in a cable channel in a distributed deployment manner, the environmental monitoring device comprises a plurality of environmental sensors, and the environmental sensors comprise a temperature sensor, a humidity sensor and a gas sensor, and are respectively used for collecting temperature monitoring data, humidity monitoring data and gas monitoring data; the environment monitoring device communicates with the gateway node through remote radio connection, and the gateway node communicates with the cloud server through internet of things connection.
3. The system of claim 2, wherein the environmental monitoring device is in communication with the gateway node over an L oRa network, and wherein the gateway node is in communication with the cloud server over an NB-IoT network.
4. The system according to any one of claims 1 to 3, wherein the cloud server includes a master node and a plurality of slave nodes, the environment monitoring data includes a region identifier, the master node is configured to generate a plurality of environment assessment tasks from the environment monitoring data according to the region identifier, and poll the current load weights of the plurality of slave nodes to obtain the current load balance of each slave node; selecting a corresponding slave node identifier for the environment evaluation task according to the current load balance of each slave node; and sequentially sending the plurality of environment evaluation tasks to the corresponding slave nodes according to the selected slave node identification, so that the plurality of slave nodes respectively call the plurality of distributed threads to process the plurality of environment evaluation tasks.
5. The system according to claim 1, wherein an interface mapping table is deployed in the cloud server, and the interface mapping table includes mapping relationships corresponding to access permissions of a plurality of grid regulation terminal identifiers and mapping relationships between the plurality of grid regulation terminal identifiers and a plurality of cable devices.
6. A distributed cable channel environment monitoring method is characterized by comprising the following steps:
acquiring environment monitoring data acquired by environment monitoring equipment transmitted by a plurality of gateway nodes;
calling a trained environment evaluation model to analyze the environment state of the environment monitoring data to obtain a plurality of analysis results;
when a risk index exists in the analysis result, early warning information is sent to the power grid regulation and control terminal which is associated and bound; and the power grid regulation and control terminal sends a remote control instruction to corresponding cable equipment according to the early warning information and the risk index, so that the cable equipment receives the remote control instruction sent by the power grid regulation and control terminal and executes the remote control instruction.
7. The method of claim 6, wherein the invoking of the trained environment assessment model for performing the environment state analysis on the environment monitoring data to obtain an analysis result comprises:
inputting the environmental monitoring data into a trained environmental evaluation model, and extracting a plurality of environmental factor characteristics of the environmental monitoring data;
calculating the weights of the environmental factor characteristics, and generating an environmental evaluation matrix corresponding to the environmental monitoring data according to the evaluation index characteristics and the corresponding weights;
and calculating an analysis result corresponding to the environment monitoring data according to the environment evaluation matrix.
8. The method of claim 6, wherein the cloud server comprises a master node and a plurality of slave nodes, wherein the environmental monitoring data comprises an area identifier, and wherein the method further comprises:
the main node generates an environment evaluation task from the environment monitoring data according to the area identification;
the master node acquires the current load weights of a plurality of slave nodes, and selects corresponding slave node identifiers for the environment evaluation task according to the current load weight of each slave node;
and distributing the plurality of environment evaluation tasks to corresponding slave nodes according to the selected slave node identifications, so that the plurality of slave nodes respectively call the plurality of distributed threads to carry out environment state evaluation processing on the plurality of environment evaluation tasks.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor realizes the steps of the method of any one of claims 6 to 8 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 6 to 8.
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