CN111983382A - Intelligent cable monitoring platform and method based on multiple nodes - Google Patents
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Abstract
The embodiment of the application discloses an intelligent cable monitoring platform and method based on multiple nodes. According to the technical scheme provided by the embodiment of the application, the plurality of node monitoring systems are arranged to monitor and judge the cable operation parameters in different areas or different scenes, and data comparison is carried out at the corresponding node monitoring systems to realize data reporting analysis, so that the conventional mode that all data are collected to a central system to carry out data judgment is changed, and the data processing performance is greatly improved. According to the scheme of the embodiment of the application, the monitoring is more targeted by adopting a multi-node monitoring system to analyze and process data, the burden of a system platform can be reduced, and the monitoring platform is stronger in flexibility and higher in platform stability by adopting a block node unit information control processing mode.
Description
Technical Field
The embodiment of the application relates to the technical field of cable detection, in particular to an intelligent cable monitoring platform and method based on multiple nodes.
Background
Modern electric energy is related to various aspects of daily life, production and the like of people, so once an electric accident happens, serious consequences are very likely to be caused, and the fault needs to be quickly positioned and repaired. At present, in order to better monitor the running state of the cable in real time and realize better operation and maintenance effects on the cable, the operation and maintenance setting of the cable tends to be more and more intelligent. The intelligent cable can realize real-time monitoring on parameters such as voltage, current, local current and the like of the cable through detection setting of relevant operation states, and even can monitor cable faults, so that operation management on the cable can be well realized, and the operation and maintenance effects of the cable are optimized.
However, most of the conventional methods for detecting power adopt a data centralized management method, and data transmission and reception of all nodes are centrally controlled and data judgment is performed on the nodes. When the method is adopted, the requirement on the information processing capacity of the system platform is higher, and the flexibility of the platform adopting the method for data processing is insufficient. Therefore, it is an urgent technical problem to be solved by those skilled in the art to design a scheme for more targeted data processing and reducing the burden of the system platform.
Disclosure of Invention
The embodiment of the application provides an intelligent cable monitoring platform and method based on multiple nodes, a plurality of node monitoring systems are arranged to monitor and judge cable operation parameters of different areas or different scenes, data comparison is carried out at the corresponding node monitoring systems to achieve data reporting analysis, the mode that the multiple node monitoring systems are adopted to carry out data analysis processing enables the monitoring to be more pertinent, the burden of a system platform can be reduced, the information control processing mode of block node units is adopted, the flexibility of the monitoring platform is enabled to be stronger, and the platform stability is higher.
In a first aspect, an embodiment of the present application provides a multi-node-based intelligent cable monitoring platform, including:
the node monitoring system comprises a node monitoring module and a node analysis module; the node monitoring module is used for monitoring operation monitoring data of the intelligent cable and transmitting the operation monitoring data to the corresponding node analysis module, the node analysis module is used for carrying out data analysis on the received operation monitoring data to judge whether the operation monitoring data meets preset conditions or not, and if the operation monitoring data meets the preset conditions, the operation monitoring data is sent to the central monitoring system; the number of the node monitoring systems is at least two;
and the central monitoring system is used for receiving and storing the operation monitoring data sent by each node monitoring system.
Furthermore, the plurality of node monitoring systems are in communication connection, each node monitoring system comprises a first node monitoring system and a second node monitoring system, and the first node monitoring system is used for receiving second operation monitoring data monitored by the second node monitoring system and comparing the second operation monitoring data with first operation monitoring data monitored by the first node monitoring system to perform data comparison.
Furthermore, the first node monitoring system is used for monitoring the intelligent cables in the same type of use scenes.
Further, a plurality of the node monitoring systems are used for monitoring different geographical areas or different use scenes, wherein the use scenes comprise one or more of a submarine scene, a tunnel scene, a mountain scene and a city scene.
Furthermore, the node monitoring module comprises a monitoring module corresponding to the intelligent cable and a gateway unit, the gateway unit is electrically connected with the monitoring module, and the gateway unit is used for collecting operation monitoring data transmitted by each monitoring module and transmitting the operation monitoring data to the node analysis module.
Furthermore, the monitoring module comprises a temperature monitoring module, a current monitoring module, a partial discharge monitoring module and a vibration monitoring module which are distributed at each position of the intelligent cable.
Furthermore, each temperature monitoring module, the current monitoring module, the partial discharge monitoring module, the vibration monitoring module and the gateway unit form a wireless clustering network, wherein the gateway unit serving as a cluster head collects operation monitoring data collected by all monitoring modules of a monitored object, and transmits the operation monitoring data to the gateway unit.
Furthermore, the node monitoring module further comprises a shielding unit electrically connected with the partial discharge monitoring module, and the shielding unit is used for shielding and protecting the partial discharge monitoring module to filter the interference of environmental noise on the partial discharge signal monitored by the partial discharge monitoring module;
the monitoring module also comprises a camera module, and the camera module is used for acquiring image data corresponding to the intelligent cable;
the node analysis module further comprises an aging detection unit, and the aging detection unit is used for determining the aging condition and the service life state of the corresponding intelligent cable according to the image data.
In a second aspect, an embodiment of the present application provides a method for monitoring an intelligent cable based on multiple nodes, including:
the node monitoring system transmits the detected operation monitoring data of the intelligent cable in the corresponding area to the node analysis module through the node detection module;
performing data analysis on the received operation monitoring data at the node analysis module to judge whether the operation monitoring data meet preset conditions, and if so, executing the next step;
and the node monitoring system sends the operation monitoring data meeting the preset conditions to the central monitoring system for data storage.
Further, the performing data analysis on the received operation monitoring data to determine whether the received operation monitoring data meets a preset condition includes:
inputting the received operation monitoring data into an input end of a preset fault recognition model, and obtaining corresponding fault data at an output end of the fault recognition model; the fault data comprises a fault type and a fault size;
judging whether the fault type and the fault size meet preset conditions or not;
correspondingly, the node monitoring system sends the operation monitoring data meeting the preset conditions to the central monitoring system for data storage, and the method further comprises the following steps:
and the node monitoring system sends the operation monitoring data and the fault data meeting the preset conditions to the central monitoring system for data storage.
Further, after the node monitoring system sends the operation monitoring data and the fault data meeting the preset conditions to the central monitoring system for data storage, the method further includes:
performing data matching on the fault data and the operation monitoring data in a pre-stored fault strategy model at a central monitoring system to obtain a corresponding fault solution strategy;
and transmitting the fault resolution strategy to corresponding operation and maintenance personnel.
Further, the number of the node monitoring systems is multiple;
before the node monitoring system transmits the detected operation monitoring data of the intelligent cable in the corresponding area to the node analysis module through the node detection module, the method further comprises the following steps:
carrying out data marking on the node monitoring system to obtain data marking contents, wherein the data marking contents comprise one or more of cable model, laying time, environment and region;
after the judging whether the fault type and the fault size meet the preset conditions, the method further comprises the following steps:
when the preset conditions are met, acquiring data mark contents in the node monitoring system with the cable fault;
and determining whether other node monitoring systems exist according to the marked content, acquiring the data of the operation monitoring data monitored by the other node monitoring systems, and transmitting the data to the central monitoring system.
In a third aspect, embodiments of the present application provide a storage medium containing computer-executable instructions for performing the multi-node based intelligent cable monitoring method according to the first aspect when executed by a computer processor.
According to the embodiment of the application, the plurality of node monitoring systems are arranged to monitor and judge the cable operation parameters in different areas or different scenes, and data comparison is carried out at the corresponding node monitoring systems to realize data reporting analysis, so that the conventional mode that all data are collected to a central system to carry out data judgment is changed, and the data processing performance is greatly improved. According to the scheme of the embodiment of the application, the monitoring is more targeted by adopting a multi-node monitoring system to analyze and process data, the burden of a system platform can be reduced, and the monitoring platform is stronger in flexibility and higher in platform stability by adopting a block node unit information control processing mode.
Drawings
Fig. 1 is a block diagram illustrating a structure of a multi-node-based intelligent cable monitoring platform according to an embodiment of the present application;
FIG. 2 is a flowchart of a multi-node based intelligent cable monitoring method provided by an embodiment of the present application;
fig. 3 is a schematic flowchart of data analysis performed by a node analysis module according to an embodiment of the present disclosure;
fig. 4 is a schematic flowchart of sending a failover policy provided in an embodiment of the present application;
fig. 5 is a schematic structural diagram of a node monitoring module according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, specific embodiments of the present application will be described in detail with reference to the accompanying drawings. It is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting of the application. It should be further noted that, for the convenience of description, only some but not all of the relevant portions of the present application are shown in the drawings. Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the operations (or steps) as a sequential process, many of the operations can be performed in parallel, concurrently or simultaneously. In addition, the order of the operations may be re-arranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like.
At present, most of the modes for detecting the electric power adopt a data centralized management mode, and data receiving and sending of all nodes are controlled through a central control unit, and data judgment is carried out on the nodes. When the method is adopted, the requirement on the information processing capacity of the system platform is higher, and the flexibility of the platform adopting the method for data processing is insufficient. Based on this, the multi-node-based intelligent cable monitoring platform provided by the application monitors and judges cable operation parameters of different areas or different scenes by arranging the plurality of node monitoring systems, and performs data comparison at the corresponding node monitoring systems to realize data reporting analysis, so that the conventional mode of collecting all data to a central system for data judgment is changed, and the data processing performance is greatly improved. According to the scheme of the embodiment of the application, the monitoring is more targeted by adopting a multi-node monitoring system to analyze and process data, the burden of a system platform can be reduced, and the monitoring platform is stronger in flexibility and higher in platform stability by adopting a block node unit information control processing mode.
Fig. 1 is a block diagram of a multi-node-based intelligent cable monitoring platform according to an embodiment of the present disclosure, and as shown in fig. 1, an embodiment of the present disclosure provides a multi-node-based intelligent cable monitoring platform, including:
the node monitoring system comprises a node monitoring module and a node analysis module; the node monitoring module is used for monitoring operation monitoring data of the intelligent cable and transmitting the operation monitoring data to the corresponding node analysis module, the node analysis module is used for carrying out data analysis on the received operation monitoring data to judge whether the operation monitoring data meets preset conditions or not, and if the operation monitoring data meets the preset conditions, the operation monitoring data is sent to the central monitoring system; the number of the node monitoring systems is at least two;
and the central monitoring system is used for receiving and storing the operation monitoring data sent by each node monitoring system.
Specifically, in the embodiment of the present application, the node monitoring systems are disposed at the intelligent cable line for data acquisition and processing, each node monitoring system has an independent data processing capability, and each node monitoring system also has a data coordination function. More specifically, the node monitoring module is arranged at the front end and used for collecting operation monitoring data of each intelligent cable line, wherein the operation monitoring data can be periodically collected by the node monitoring module according to a set data collection period and uploaded to the node analysis module. Or the node analysis module periodically issues a data acquisition request to acquire the operation monitoring data cached in the node monitoring module. It should be noted that the operation monitoring data collected by the node monitoring module needs to include the line number information of the intelligent cable corresponding to the operation monitoring data, so as to ascertain the intelligent cable line to which the corresponding operation monitoring data belongs when performing the storage and analysis of the operation monitoring data subsequently.
And the node analysis module is used for monitoring and analyzing the operation faults in real time based on the received operation monitoring data. The fault analysis model constructed through the neural network model in advance can be used for fault analysis, and the fault analysis and judgment can also be carried out based on the big data analysis model, so that corresponding fault data can be finally obtained. The fault data are sent to a data matching unit for strategy matching, and corresponding fault solving strategies are obtained according to the fault data matching and are provided for operation and maintenance personnel, so that the fault identification efficiency is greatly improved.
Fig. 2 is a flowchart illustrating an intelligent cable monitoring method based on multiple nodes according to an embodiment of the present application, where the intelligent cable monitoring method based on multiple nodes provided in this embodiment may be executed by an intelligent cable monitoring device based on multiple nodes, the intelligent cable monitoring device based on multiple nodes may be implemented in a software and/or hardware manner, and the intelligent cable monitoring device based on multiple nodes may be formed by two or more physical entities or may be formed by one physical entity. Generally, the multi-node based smart cable monitoring device may be a computer, a mobile phone, a tablet or a server.
The following server is described for an example of an apparatus for performing the multi-node based smart cable monitoring method. Referring to fig. 2, the intelligent cable monitoring method based on multiple nodes specifically includes:
s101: the node monitoring system transmits the detected operation monitoring data of the intelligent cable in the corresponding area to the node analysis module through the node detection module.
More preferably, fig. 5 is a schematic structural diagram of the node monitoring module provided in the embodiment of the present application, and as shown in fig. 5, the node monitoring module includes a monitoring module corresponding to the smart cable and a gateway unit, the gateway unit is electrically connected to the monitoring module, and the gateway unit is configured to collect operation monitoring data transmitted by each monitoring module and transmit the operation monitoring data to the node analysis module. The monitoring module comprises a temperature monitoring module, a current monitoring module, a partial discharge monitoring module and a vibration monitoring module which are distributed at each position of the intelligent cable.
Furthermore, when the temperature monitoring module, the current monitoring module, the partial discharge monitoring module and the vibration monitoring module are used for collecting operation monitoring data, the distributed setting mode is adopted to set the operation monitoring data at each position of the intelligent cable, and the quantity of each type of monitoring module is set according to the collection requirement of the operation monitoring data of the intelligent cable. Furthermore, it should be noted that when various monitoring modules upload operation monitoring data, the corresponding monitoring module numbers of the monitoring modules need to be attached to the operation monitoring data, so that when the operation monitoring data are uploaded to a fault analysis server for analysis and storage, it can be known that the operation monitoring data come from a certain monitoring module of a certain line intelligent cable. Therefore, different monitoring module numbers and the set geographic positions are bound, and a certain position of the intelligent cable from which certain operation monitoring data comes can be confirmed. In one embodiment, the current monitoring module position can be determined by using GPS positioning, and the operation monitoring data is uploaded together with the current GPS positioning information. Specifically, when various monitoring modules of this application are gathering operation monitoring data to the gateway, each monitoring module can establish communication link with the gateway one by one through wired or wireless mode to gather operation monitoring data to the gateway. In one embodiment, the data can be uploaded in a data hopping mode. For example, a plurality of temperature monitoring modules are correspondingly arranged on one intelligent cable, the temperature monitoring modules are distributed on the line of the intelligent cable according to set intervals, and one or more host nodes are selected as data transmission host nodes. Furthermore, after each temperature monitoring module collects temperature data, the temperature data is subjected to skip transmission to the adjacent temperature monitoring modules, and by analogy, the temperature data is subjected to skip transmission on the temperature monitoring modules on the intelligent cable line and is gathered to the nearest main node, and the main node uploads the temperature data to the gateway, so that data skip transmission is completed. The monitoring modules can adopt communication modules such as Bluetooth or ZigBee and the like to realize communication among the monitoring modules. Compared with the remote transmission of monitoring data to a gateway, the embodiment of the application carries out data skip transmission and collection through Bluetooth or ZigBee, so that the interference in the data transmission process can be reduced, and the communication charge is reduced.
More preferably, in addition to the detection data, the monitoring module further includes a camera module, and the camera module is configured to obtain image data corresponding to the smart cable;
the node analysis module further comprises an aging detection unit, and the aging detection unit is used for determining the aging condition and the service life state of the corresponding intelligent cable according to the image data. The intelligent cable aging detection method has the advantages that the image data which is more visual is obtained through the image data to carry out aging detection, when the cable is aged to a certain degree, operation and maintenance personnel are reminded through sending information to help the operation and maintenance personnel to carry out protection in advance so as to cause more serious cable accidents due to follow-up improper operation.
More preferably, the node monitoring module further includes a shielding unit electrically connected to the partial discharge monitoring module, and the shielding unit is configured to shield and protect the partial discharge monitoring module to filter interference of environmental noise on the partial discharge signal monitored by the partial discharge monitoring module; because when adopting partial discharge monitoring module to carry out data monitoring, receive environmental noise to its influence easily, in order to further carry out noise filtering interference to the data that obtains, adopted the shielding module to carry out the shielding of data in this application embodiment and handled, and then filtering environmental noise is right the interference of the partial discharge signal of the monitoring of partial discharge monitoring module improves the accuracy of data monitoring.
In this embodiment, it is more preferable that each of the temperature monitoring modules, the current monitoring module, the partial discharge monitoring module, the vibration monitoring module, and the gateway unit constitute a wireless clustering network, and the gateway unit serving as a cluster head collects operation monitoring data collected by all monitoring modules of a monitored object, and transmits the operation monitoring data to the gateway unit. Specifically, the monitoring module and the gateway unit form a network in a clustering manner, and the forming process of the clustering network is as follows: first, the cluster head (gateway unit) broadcasts a beacon frame. After receiving the beacon frame, the proximity monitoring module can apply for joining the cluster. The cluster head determines whether the node can become a cluster member. If the request is allowed, the node will join the cluster head's neighbor list as a member of the cluster. The newly joined node will join the cluster head as its parent node into its own neighbor list. In this way, a tree cluster network is formed. The cluster head may designate another node as a new cluster head for the adjacency to form more clusters. The new cluster head can also select other nodes to become a cluster head, and the coverage range of the network is further expanded.
S102: and performing data analysis on the received operation monitoring data at the node analysis module to judge whether the operation monitoring data meet preset conditions, and if so, executing the next step.
In the step, data processing is mainly performed, and the operation monitoring data is subjected to data analysis by each node monitoring system so as to judge whether a corresponding intelligent cable has a fault.
Specifically, fig. 3 is a schematic flow chart of data analysis performed by the node analysis module according to the embodiment of the present application, and as shown in fig. 3, the performing data analysis on the received operation monitoring data to determine whether the operation monitoring data meets the preset condition includes:
s102 a: inputting the received operation monitoring data into an input end of a preset fault recognition model, and obtaining corresponding fault data at an output end of the fault recognition model; the fault data comprises a fault type and a fault size;
s102 b: and judging whether the fault type and the fault size meet preset conditions.
The fault identification model in the embodiment of the application is constructed by adopting a neural network model, wherein the neural network model comprises any one of a BP neural network model, a radial basis function neural network model or a convolutional neural network model. Specifically, when data is constructed, the obtained historical monitoring data needs to be marked, wherein the historical monitoring data is the data monitored when a fault occurs, when the fault occurs, various monitoring index data are obtained, then fault confirmation marking is carried out manually, and after the marking is completed, a corresponding training set is generated in a combined mode; and then, in the neural network model, the fault recognition model is recognized and trained by taking the monitoring training set as input and the fault data as output until the training requirement is met. And when the identification accuracy reaches the set target, determining that the corresponding fault identification model can be put into use when meeting the standard requirement.
More preferably, a plurality of the node monitoring systems are used for monitoring different geographical areas or different usage scenarios, where the usage scenarios include one or more of a submarine scenario, a tunnel scenario, a mountain scenario, and a city scenario. Different node monitoring systems are needed to be configured for different use scenes, on one hand, line deployment is facilitated, and on the other hand, the actual use conditions of the intelligent cable under different use scenes can be found based on different use scenes. By deploying the corresponding node monitoring systems under different scenes, various data in the node monitoring systems can be deeply mined, for example, the tunnel is wet and dark, and the influence of the factors on the intelligent cable can be avoided.
When the node monitoring system is configured for different use scenes, the setting of the node monitoring module is different, and generally the node monitoring system comprises a temperature monitoring module, a current monitoring module, a partial discharge monitoring module, a vibration monitoring module and the like, but the node monitoring system can also be configured for more special scenes such as a humidity monitoring module, a smoke sensor, an oxygen sensor, a water level detection module and the like. As the detection indexes with finer granularity are set for different scenes, the operation and maintenance management personnel can be helped to carry out more accurate diagnosis on the faults.
More preferably, the number of the node monitoring systems is multiple; the node monitoring systems are in communication connection and comprise a first node monitoring system and a second node monitoring system, the first node monitoring system is used for receiving second operation monitoring data monitored by the second node monitoring system and comparing the second operation monitoring data with first operation monitoring data monitored by the first node monitoring system for data comparison. The first node monitoring system and the second node monitoring system are arranged in the same scene, such as the sea bottom, the tunnel, the mountain area and the like, and the data are conveniently compared by being arranged in the same scene, and then the data are cooperatively judged. For example, when a first node monitoring system located in a tunnel monitors that an intelligent cable has a fault, a second node monitoring system is called to call operation monitoring data of the first node monitoring system to judge whether the second node monitoring system has a corresponding problem, and the first node monitoring system and the second node monitoring system can be further locked in the whole line laying process and the using process by comparing the first node monitoring system and the second node monitoring system.
After fine-grained scene division is carried out in the mode, different models can be set according to different scenes when fault recognition models are correspondingly set, so that the monitoring indexes have different functions in different scenes when the models are built, and more accurate recognition models can be assisted to be built by setting different recognition models based on different scenes.
S103: and the node monitoring system sends the operation monitoring data meeting the preset conditions to the central monitoring system for data storage.
The method mainly comprises the following steps that a node monitoring system sends operation monitoring data meeting conditions to a central monitoring system, and the central monitoring system performs unified management; the central monitoring system can manage the node monitoring system aiming at different scenes and can also manage data aiming at different areas. Due to the adoption of a multi-node monitoring setting mode, the information processing pressure of a central system is greatly reduced, and the optimization of information management and fault identification models can be better focused on.
More preferably, before the node monitoring system transmits the detected operation monitoring data of the smart cable corresponding to the area to the node analysis module through the node detection module, the method further includes:
carrying out data marking on the node monitoring system to obtain data marking contents, wherein the data marking contents comprise one or more of cable model, laying time, environment and region;
after the judging whether the fault type and the fault size meet the preset conditions, the method further comprises the following steps:
when the preset conditions are met, acquiring data mark contents in the node monitoring system with the cable fault;
and determining whether other node monitoring systems exist according to the marked content, acquiring the data of the operation monitoring data monitored by the other node monitoring systems, and transmitting the data to the central monitoring system.
In the above-mentioned specific embodiment of data marking, the data marking is mainly performed to facilitate subsequent data cooperative transmission and information processing. For example, if there are two node monitoring systems, the cable models are the same, the laying time is the same, the environments are the same, even the areas are the same, but at this time, the operation monitoring data monitored by one of the node monitoring systems meets the fault condition, and data reporting is performed; and if the marking contents are the same, judging that the other node monitoring system has a problem in a high probability, and reporting the data monitored by the other node monitoring system. And then, comparing data in the central monitoring system to judge whether a corresponding problem exists, and if the problem does not exist, carrying out specific data analysis on the central monitoring system and the central monitoring system to further lock what different factors affect the central monitoring system and further optimize a corresponding fault identification model.
In addition to the above-mentioned manner, when the plurality of monitoring data matches the failure data, but one of the monitoring data is not determined to be a failure, the data is associated and transmitted to the central monitoring system for further determination.
More preferably, fig. 4 is a schematic flow chart of sending the troubleshooting policy provided in the embodiment of the present application, and as shown in fig. 4, after step S103, the method further includes:
s104: performing data matching on the fault data and the operation monitoring data in a pre-stored fault strategy model at a central monitoring system to obtain a corresponding fault solution strategy;
s105: and transmitting the fault resolution strategy to corresponding operation and maintenance personnel.
This step is mainly to confirm the matching problem between the specific fault type and the fault resolution strategy, because even if the corresponding fault type is identified, if the corresponding resolution strategy is not provided, the maintenance management of the manager is not convenient, and the auxiliary function is not obvious enough. Therefore, in the application embodiment, a corresponding fault resolution strategy is also provided to assist the operation maintenance personnel in cable repair.
In the embodiments of the present application, several faults and corresponding measures for handling are listed for exemplary illustration: cable line ground fault and handling measures: the underground moving soil is damaged, the insulation is damaged, the ground can be dug, and the insulation can be repaired; the artificial grounding is not removed, and the grounding wire needs to be removed; the load is too large, the temperature is too high, the insulation is aged, the load is adjusted, the temperature is reduced, the aged insulation is replaced, and some cables which are seriously aged are replaced; the sleeve is dirty, and discharge is generated due to cracks, and the dirty sleeve needs to be cleaned and replaced by the cracked sleeve.
The embodiment of the application transmits the corresponding fault data and the fault solving strategy to the corresponding maintainer, the two data are transmitted to the maintainer instead of transmitting the solving strategy to the technical staff, so that the maintainer can further know the actual situation on the basis of knowing the actual situation, but not know the solving content singly, and the constructed strategy cannot cover some situations which do not occur, so that when some unexpected situations occur, the maintainer can conveniently operate and comprehensively know the data by providing complete data. By providing the above strategy to the operation and maintenance manager, the operation and maintenance manager can know various conditions of the intelligent cable and then find out a proper solution strategy. After the corresponding policy is selected, data storage is needed to know the actual processing situation.
Because the cable laying amount is large, the situations encountered in the actual process are more various, and therefore, data fed back by operation and maintenance personnel in the actual process need to be further stored, and then the data are summarized. Therefore, in the embodiment of the application, the repair data fed back by the operation and maintenance personnel is received, and the corresponding repair data comprises a fault repair strategy, fault data and the like. The accuracy of constructing the fault identification model can be further improved by the method for knowing the processing mode after the fault.
According to the embodiment of the application, the areas can be divided according to different cable types or different scene categories or geographical positions, wherein each area is correspondingly provided with a node monitoring unit, the node monitoring unit monitors the cable parameters of the area, and the node monitoring unit mainly has the functions of: judging the acquired parameters, and reporting the parameters meeting the conditions, wherein the meeting conditions can be set according to different analysis and alarm functions; similarly, the node unit receives parameters sent by other node units at the same time, and performs data comparison to realize collaborative data reporting and analysis. The scheme of the embodiment of the application enables the data analyzed by the system platform to be more targeted, can reduce the burden of the system platform, and simultaneously adopts the information control and processing mode of the block node units, so that the flexibility is stronger, and the data communication can be carried out among all the nodes, so that the data can be monitored and reported cooperatively, the system stability is stronger, and the uploading early warning of the data is not influenced even if a certain node goes wrong.
According to the embodiment of the application, the plurality of node monitoring systems are arranged to monitor and judge the cable operation parameters in different areas or different scenes, and data comparison is carried out at the corresponding node monitoring systems to realize data reporting analysis, so that the conventional mode that all data are collected to a central system to carry out data judgment is changed, and the data processing performance is greatly improved. According to the scheme of the embodiment of the application, the monitoring is more targeted by adopting a multi-node monitoring system to analyze and process data, the burden of a system platform can be reduced, and the monitoring platform is stronger in flexibility and higher in platform stability by adopting a block node unit information control processing mode.
Embodiments of the present application also provide a storage medium containing computer-executable instructions, which when executed by a computer processor 31, are configured to perform a multi-node based intelligent cable monitoring method, including:
the node monitoring system transmits the detected operation monitoring data of the intelligent cable in the corresponding area to the node analysis module through the node detection module;
performing data analysis on the received operation monitoring data at the node analysis module to judge whether the operation monitoring data meet preset conditions, and if so, executing the next step;
and the node monitoring system sends the operation monitoring data meeting the preset conditions to the central monitoring system for data storage.
According to the embodiment of the application, the plurality of node monitoring systems are arranged to monitor and judge the cable operation parameters in different areas or different scenes, and data comparison is carried out at the corresponding node monitoring systems to realize data reporting analysis, so that the conventional mode that all data are collected to a central system to carry out data judgment is changed, and the data processing performance is greatly improved. According to the scheme of the embodiment of the application, the monitoring is more targeted by adopting a multi-node monitoring system to analyze and process data, the burden of a system platform can be reduced, and the monitoring platform is stronger in flexibility and higher in platform stability by adopting a block node unit information control processing mode.
Storage medium-any of various types of memory devices or storage devices. The term "storage medium" is intended to include: mounting media such as CD-ROM, floppy disk, or tape devices; computer system memory or random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, Lanbas (Rambus) RAM, etc.; non-volatile memory such as flash memory, magnetic media (e.g., hard disk or optical storage); registers or other similar types of memory elements, etc. The storage medium may also include other types of memory or combinations thereof. In addition, the storage medium may be located in a first computer system in which the program is executed, or may be located in a different second computer system connected to the first computer system through a network (such as the internet). The second computer system may provide program instructions to the first computer for execution. The term "storage medium" may include two or more storage media residing in different locations, e.g., in different computer systems connected by a network. The storage medium may store program instructions (e.g., embodied as a computer program) that are executable by one or more processors 31.
Of course, the storage medium containing the computer-executable instructions provided in the embodiments of the present application is not limited to the multi-node based intelligent cable monitoring method described above, and may also perform related operations in the multi-node based intelligent cable monitoring method provided in any embodiments of the present application.
The multi-node-based intelligent cable monitoring apparatus, the storage medium, and the electronic device provided in the above embodiments may perform the multi-node-based intelligent cable monitoring method provided in any embodiment of the present application, and reference may be made to the multi-node-based intelligent cable monitoring method provided in any embodiment of the present application without detailed technical details described in the above embodiments.
The foregoing is considered as illustrative of the preferred embodiments of the invention and the technical principles employed. The present application is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present application has been described in more detail with reference to the above embodiments, the present application is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present application, and the scope of the present application is determined by the scope of the claims.
Claims (12)
1. A multi-node based intelligent cable monitoring platform, comprising:
the node monitoring system comprises a node monitoring module and a node analysis module; the node monitoring module is used for monitoring operation monitoring data of the intelligent cable and transmitting the operation monitoring data to the corresponding node analysis module, the node analysis module is used for carrying out data analysis on the received operation monitoring data to judge whether the operation monitoring data meets preset conditions or not, and if the operation monitoring data meets the preset conditions, the operation monitoring data is sent to the central monitoring system; the number of the node monitoring systems is at least two;
and the central monitoring system is used for receiving and storing the operation monitoring data sent by each node monitoring system.
2. The multi-node based intelligent cable monitoring platform according to claim 1, wherein a plurality of the node monitoring systems are communicatively connected to each other, and the node monitoring systems include a first node monitoring system and a second node monitoring system, and the first node monitoring system is configured to receive second operation monitoring data monitored by the second node monitoring system and compare the second operation monitoring data with first operation monitoring data monitored by the first node monitoring system for data comparison.
3. The multi-node based smart cable monitoring platform of claim 2, wherein the first node monitoring system is configured to monitor smart cables for the same type of usage scenario.
4. The multi-node based smart cable monitoring platform of claim 1, wherein a plurality of the node monitoring systems are configured to monitor different geographic areas or different usage scenarios, the usage scenarios comprising one or more of a submarine scenario, a tunnel scenario, a mountain scenario, and a city scenario.
5. The multi-node based intelligent cable monitoring platform according to any one of claims 1-4, wherein the node monitoring module comprises monitoring modules corresponding to the intelligent cable and a gateway unit, the gateway unit is electrically connected to the monitoring modules, and the gateway unit is configured to collect operation monitoring data transmitted by each monitoring module and transmit the operation monitoring data to the node analysis module.
6. The multi-node based smart cable monitoring platform of claim 5, wherein the monitoring modules comprise a temperature monitoring module, a current monitoring module, a partial discharge monitoring module and a vibration monitoring module which are distributed at each position of the smart cable.
7. The multi-node based intelligent cable monitoring platform according to claim 6, wherein each of the temperature monitoring modules, the current monitoring module, the partial discharge monitoring module, the vibration monitoring module and the gateway unit form a wireless clustering network, and wherein the gateway unit as a cluster head collects operation monitoring data collected by all monitoring modules of a monitored object and transmits the operation monitoring data to the gateway unit.
8. The multi-node based intelligent cable monitoring platform according to claim 6, wherein the node monitoring module further comprises a shielding unit electrically connected to the partial discharge monitoring module, the shielding unit being configured to shield and protect the partial discharge monitoring module to filter interference of environmental noise on the partial discharge signal monitored by the partial discharge monitoring module;
the monitoring module also comprises a camera module, and the camera module is used for acquiring image data corresponding to the intelligent cable;
the node analysis module further comprises an aging detection unit, and the aging detection unit is used for determining the aging condition and the service life state of the corresponding intelligent cable according to the image data.
9. A multi-node-based intelligent cable monitoring method is characterized by comprising the following steps:
the node monitoring system transmits the detected operation monitoring data of the intelligent cable in the corresponding area to the node analysis module through the node detection module;
performing data analysis on the received operation monitoring data at the node analysis module to judge whether the operation monitoring data meet preset conditions, and if so, executing the next step;
and the node monitoring system sends the operation monitoring data meeting the preset conditions to the central monitoring system for data storage.
10. The multi-node based intelligent cable monitoring method of claim 9, wherein the performing data analysis on the received operation monitoring data to determine whether it meets a preset condition comprises:
inputting the received operation monitoring data into an input end of a preset fault recognition model, and obtaining corresponding fault data at an output end of the fault recognition model; the fault data comprises a fault type and a fault size;
judging whether the fault type and the fault size meet preset conditions or not;
correspondingly, the node monitoring system sends the operation monitoring data meeting the preset conditions to the central monitoring system for data storage, and the method further comprises the following steps:
and the node monitoring system sends the operation monitoring data and the fault data meeting the preset conditions to the central monitoring system for data storage.
11. The multi-node based intelligent cable monitoring method according to claim 10, after the node monitoring system transmits the operation monitoring data and the fault data satisfying the preset condition to the central monitoring system for data storage, further comprising:
performing data matching on the fault data and the operation monitoring data in a pre-stored fault strategy model at a central monitoring system to obtain a corresponding fault solution strategy;
and transmitting the fault resolution strategy to corresponding operation and maintenance personnel.
12. The multi-node based intelligent cable monitoring method according to claim 10, wherein the number of the node monitoring systems is plural;
before the node monitoring system transmits the detected operation monitoring data of the intelligent cable in the corresponding area to the node analysis module through the node detection module, the method further comprises the following steps:
carrying out data marking on the node monitoring system to obtain data marking contents, wherein the data marking contents comprise one or more of cable model, laying time, environment and region;
after the judging whether the fault type and the fault size meet the preset conditions, the method further comprises the following steps:
when the preset conditions are met, acquiring data mark contents in the node monitoring system with the cable fault;
and determining whether other node monitoring systems exist according to the marked content, acquiring the data of the operation monitoring data monitored by the other node monitoring systems, and transmitting the data to the central monitoring system.
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