CN116011794A - Infrastructure supervision method and system based on cloud operation and maintenance - Google Patents
Infrastructure supervision method and system based on cloud operation and maintenance Download PDFInfo
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Abstract
The invention provides an infrastructure supervision method and system based on cloud operation and maintenance, which relate to the technical field of data analysis, and are used for reading infrastructure basic information, carrying out environmental temperature monitoring statistics to obtain an environmental temperature monitoring set, and collecting infrastructure monitoring data to obtain first supervision information; obtaining data response time of facility monitoring data, determining second supervision information, reading monitoring time nodes of the facility monitoring data, constructing environment influence data, performing state evaluation to generate supervision operation data, solving the technical problems that in the prior art, a supervision method for technical facilities is more conventional, supervision completeness is insufficient, evaluation on the supervision data is not strict enough, supervision strength is insufficient, large operation and maintenance cost exists, but the technical problem of deficiency still exists in operation and maintenance energy efficiency is solved, and intelligent operation and maintenance analysis is implemented based on multidimensional influence factors by performing an optimized facility supervision and data evaluation mode so as to reduce operation and maintenance cost and realize efficient environment adaptation operation and maintenance management of an infrastructure.
Description
Technical Field
The invention relates to the technical field of data analysis, in particular to an infrastructure supervision method and system based on cloud operation and maintenance.
Background
The infrastructure is a fundamental material foundation for production, operation and life of enterprises and residents, and urban traffic is a basic guarantee for maintaining normal operation of cities, so that the improvement of the infrastructure and the energy efficiency of operation, maintenance and management are the current important solutions.
At present, the operation fault repair of the infrastructure is mainly carried out through regional periodic overhaul, and is mostly finished by manpower or auxiliary related equipment, so that the operation and maintenance cost is high, and meanwhile, certain subjectivity exists to influence the final operation and maintenance energy efficiency, and further technical optimization is needed to ensure that the operation and maintenance energy efficiency of the infrastructure tends to an expected value.
In the prior art, the supervision method of the technical facility is more conventional, the supervision completeness is insufficient, the supervision data is not evaluated strictly, the supervision strength is insufficient, the operation and maintenance cost is high, and the operation and maintenance energy efficiency is still deficient.
Disclosure of Invention
The application provides an infrastructure supervision method and system based on cloud operation and maintenance, which are used for solving the technical problems that in the prior art, the supervision method for technical facilities is more conventional, supervision completeness is insufficient, and evaluation on supervision data is not strict enough, so that supervision force is insufficient, larger operation and maintenance cost exists, but the operation and maintenance energy efficiency is still deficient.
In view of the above problems, the present application provides a cloud operation and maintenance-based infrastructure supervision method and system.
In a first aspect, the present application provides a cloud operation and maintenance-based infrastructure supervision method, the method comprising:
establishing communication connection between the data interaction device and an infrastructure, and reading infrastructure foundation information of the infrastructure;
the temperature acquisition device monitors the environmental temperature of the infrastructure, and the environmental temperature monitoring set is obtained through statistics;
acquiring facility monitoring data of the infrastructure, and performing auxiliary acquisition through the image acquisition device to obtain an auxiliary acquisition result;
monitoring and verifying the facility monitoring data based on the auxiliary acquisition result to obtain first supervision information;
acquiring a data response time length of the facility monitoring data, and acquiring second supervision information based on the data response time length and the facility basic information;
reading a monitoring time node of the facility monitoring data, calling the temperature data of the environment temperature monitoring set through the monitoring time node, and constructing environment influence data;
and performing state evaluation of the infrastructure through the first supervision information, the second supervision information and the environment influence data to generate supervision operation and maintenance data.
In a second aspect, the present application provides a cloud operation and maintenance based infrastructure supervision system, the system comprising:
the information reading module is used for establishing communication connection between the data interaction device and the infrastructure and reading infrastructure information of the infrastructure;
the temperature monitoring module is used for monitoring the environmental temperature of the infrastructure through the temperature acquisition device and obtaining an environmental temperature monitoring set through statistics;
the data acquisition module is used for acquiring facility monitoring data of the infrastructure and carrying out auxiliary acquisition through the image acquisition device to obtain an auxiliary acquisition result;
the first supervision information acquisition module is used for carrying out monitoring verification on the facility monitoring data based on the auxiliary acquisition result to obtain first supervision information;
the second supervision information acquisition module is used for acquiring data response time length of the facility monitoring data and acquiring second supervision information based on the data response time length and the facility basic information;
the data calling module is used for reading monitoring time nodes of the facility monitoring data, calling the temperature data of the environment temperature monitoring set through the monitoring time nodes and constructing environment influence data;
and the facility evaluation module is used for evaluating the state of the infrastructure through the first supervision information, the second supervision information and the environment influence data to generate supervision operation and maintenance data.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
according to the infrastructure supervision method based on cloud operation, communication connection between the data interaction device and an infrastructure is established, infrastructure information of the infrastructure is read, environment temperature monitoring is conducted on the infrastructure, and an environment temperature monitoring set is obtained through statistics; acquiring facility monitoring data of the infrastructure, obtaining an auxiliary acquisition result, and performing monitoring verification on the facility monitoring data based on the auxiliary acquisition result to obtain first supervision information; acquiring a data response time length of the facility monitoring data, and acquiring second supervision information based on the data response time length and the facility basic information; reading monitoring time nodes of the facility monitoring data, calling the temperature data of the environment temperature monitoring set, and constructing environment influence data; based on the first supervision information, the second supervision information and the environmental impact data, performing state evaluation on the infrastructure to generate supervision operation data, solving the technical problems that in the prior art, a supervision method for technical facilities is more conventional, supervision completeness is insufficient, evaluation on the supervision data is not strict enough, supervision strength is insufficient, large operation and maintenance cost exists, but the operation and maintenance energy efficiency is still deficient.
Drawings
Fig. 1 is a schematic flow chart of an infrastructure supervision method based on cloud operation and maintenance;
fig. 2 is a schematic diagram of a first supervision information acquisition flow in a cloud operation-based infrastructure supervision method;
FIG. 3 is a schematic diagram of an environmental impact data acquisition process in a cloud-based infrastructure supervision method;
fig. 4 is a schematic structural diagram of an infrastructure supervision system based on cloud operation and maintenance.
Reference numerals illustrate: the system comprises an information reading module 11, a temperature monitoring module 12, a data acquisition module 13, a first supervision information acquisition module 14, a second supervision information acquisition module 15, a data calling module 16 and a facility evaluation module 17.
Detailed Description
According to the infrastructure supervision method and system based on cloud operation and maintenance, infrastructure basic information is read, environment temperature monitoring statistics is carried out to obtain an environment temperature monitoring set, facility monitoring data are collected to obtain an auxiliary collection result, monitoring verification is carried out on the facility monitoring data, and first supervision information is obtained; obtaining data response time of facility monitoring data, determining second supervision information, reading monitoring time nodes of the facility monitoring data, calling temperature data to construct environment influence data, and carrying out state evaluation on the infrastructure based on the first supervision information, the second supervision information and the environment influence data to generate supervision operation data, so that the technical problems that in the prior art, a supervision method for technical facilities is more conventional, supervision completeness is insufficient, evaluation on the supervision data is not strict enough, supervision force is insufficient, larger operation and maintenance cost exists, and the technical problem of shortage in operation and maintenance energy efficiency still exists are solved.
Example 1
As shown in fig. 1, the present application provides a cloud operation and maintenance-based infrastructure supervision method, where the method is applied to an infrastructure supervision system, and the infrastructure supervision system is in communication connection with a temperature acquisition device, a data interaction device, and an image acquisition device, and the method includes:
step S100: establishing communication connection between the data interaction device and an infrastructure, and reading infrastructure foundation information of the infrastructure;
specifically, the infrastructure is taken as a fundamental material foundation for production, operation and life of enterprises and residents, and urban traffic is a basic guarantee for maintaining normal operation of cities, so that the improvement of the infrastructure and the energy efficiency of operation and maintenance management are the current important solutions. The infrastructure supervision method based on cloud operation and maintenance is applied to an infrastructure supervision system, the system is a general control system for infrastructure detection management of a management area, the system is mainly used for supervising traffic facilities, the system is in communication connection with a temperature acquisition device, a data interaction device and an image acquisition device, the temperature acquisition device and the image acquisition device are auxiliary acquisition devices for infrastructure real-time state perception, and the data interaction device is equipment for data interaction transmission acquisition.
Specifically, the data interaction device is in communication connection with the infrastructure, and the infrastructure mainly refers to traffic facilities such as operation facilities of highways, railways and the like; and monitoring equipment, traffic signs, safety facilities of lighting equipment and the like, reading related information of the infrastructure, such as operation rules, display states and the like, mapping and corresponding the read information with the infrastructure based on the data interaction device, and generating the infrastructure information. The acquisition of the facility basic information provides a basic basis for subsequent facility supervision.
Step S200: the temperature acquisition device monitors the environmental temperature of the infrastructure, and the environmental temperature monitoring set is obtained through statistics;
specifically, the temperature acquisition device is auxiliary equipment for real-time temperature data acquisition, the fluctuation of the ambient temperature can influence the performance of facilities to a certain extent, abnormal operation of the facilities is caused, such as response delay, no signal, signal transmission interruption and the like, and the monitoring effect can be effectively optimized by performing targeted monitoring based on the real-time ambient temperature. And uniformly distributing the temperature acquisition devices in the distribution area of the infrastructure, performing sensing acquisition of real-time environment temperature based on the temperature acquisition devices, and performing position identification and time identification on acquired data to generate the environment temperature monitoring set. And the acquisition of the environmental temperature monitoring set provides a reference data source for the operation and maintenance management of subsequent facilities.
Step S300: acquiring facility monitoring data of the infrastructure, and performing auxiliary acquisition through the image acquisition device to obtain an auxiliary acquisition result;
step S400: monitoring and verifying the facility monitoring data based on the auxiliary acquisition result to obtain first supervision information;
specifically, monitoring equipment is arranged around the infrastructure so as to monitor the infrastructure, and monitoring data under the granularity of the preset time of the infrastructure is called as the monitoring data of the infrastructure, and the operation states of the infrastructure corresponding to different time phases are different, such as the morning, the evening, the working days, the holidays and the like. Because most of the monitoring equipment is directional monitoring, information difference and information blind areas possibly exist due to the difference of monitoring angles. And carrying out image acquisition in an auxiliary way based on the image acquisition device so as to ensure the completeness and accuracy of acquired data and acquire an auxiliary acquisition result. Further, the facility monitoring data is verified based on the auxiliary acquisition result, and real-time effective data in the facility monitoring data is determined to be used as the first supervision information. And taking the first supervision information as a data source to be evaluated to analyze the running state of the infrastructure so as to perform abnormal operation and maintenance evaluation analysis.
Further, as shown in fig. 2, step S400 of the present application further includes:
step S410: obtaining a facility detection result based on the facility monitoring data;
step S420: obtaining an image acquisition result of the image acquisition device, and carrying out data support verification on the image acquisition result to obtain a data support verification result;
step S430: when the data support verification result is verification passing, screening and identifying the image acquisition result, and obtaining a verification detection result according to the screening and identifying result;
step S440: and comparing the result of the verification detection result with the result of the facility detection result to obtain the first supervision information.
Specifically, the facility monitoring data is acquired by performing monitoring data retrieval, facility operation and maintenance detection is performed based on the facility monitoring data, assessment is performed based on a visual state, such as abnormal information display, operation smoothness and the like, and facility detection results including facility abnormality types, abnormality grades and the like are acquired. And based on the image acquisition result obtained by the image acquisition device, respectively judging the data acquisition result, evaluating the information validity of the image, such as image definition, information completeness and the like, so as to perform data support verification, and performing judgment result identification, such as result identification based on 1 and 0, so as to obtain the data support verification result.
Further, based on the data support verification result, extracting the corresponding image set which passes verification in the image acquisition result, namely, the data with the mark of 1, screening and identifying the image set, removing repeated images, screening effective images as the screening and identifying result, and carrying out facility state assessment based on the screening and identifying result to obtain the verification and detection result. The verification detection result and the facility detection result are simultaneous detection data, and have synchronous consistency, and the verification detection result and the facility detection result are mapped and correspond to each other so as to perform result comparison. The image acquisition device has accurate time limitation, response delay judgment of the monitoring equipment is carried out by comparing results, meanwhile, the running state of the monitored facility can be accurately determined based on two groups of monitoring data, and the comparison result is used as the first supervision information.
Step S500: acquiring a data response time length of the facility monitoring data, and acquiring second supervision information based on the data response time length and the facility basic information;
step S600: reading a monitoring time node of the facility monitoring data, calling the temperature data of the environment temperature monitoring set through the monitoring time node, and constructing environment influence data;
step S700: and performing state evaluation of the infrastructure through the first supervision information, the second supervision information and the environment influence data to generate supervision operation and maintenance data.
Specifically, determining a data response time length of the facility monitoring data, mapping and corresponding the data response time length and the facility basic information to determine an information response state of the basic facility so as to analyze environmental impact degree later, and taking an information mapping result as the second supervision information. Fluctuations in ambient temperature may affect the response state of the infrastructure, and the impact states of different ambient temperatures are different, and targeted analysis is performed based on the ambient temperatures of the corresponding time nodes. Specifically, the monitoring time node of the facility monitoring data is read, the environment temperature monitoring set is traversed, the temperature data corresponding to the monitoring time node is matched, further the supplement and the improvement of the temperature data and the time sequence integration are carried out, the environment influence data is obtained, and the environment influence data is provided with a time node identifier.
Further, performing time sequence mapping on the first supervision information, the second supervision information and the environmental impact data to obtain a plurality of data sequences corresponding to the multi-time nodes, performing comprehensive evaluation on each data sequence, determining the state of the infrastructure, performing time node identification, and generating supervision operation and maintenance data, namely an environmental adaptability analysis result of the infrastructure. The supervision operation and maintenance data have real-time effectiveness, and multidimensional supervision influence factors including environmental influence, response aging influence, data accuracy influence and the like are avoided, and supervision of the infrastructure is performed based on the supervision operation and maintenance data.
Further, as shown in fig. 3, step S600 of the present application further includes:
step S610: reading real-time temperature data of the environment temperature monitoring set corresponding to the monitoring time node, and taking the real-time temperature data as first environment identification data;
step S620: setting an environment change monitoring window, and expanding a node window of the monitoring time node based on the environment change monitoring window;
step S630: extracting window temperature data of the environment temperature monitoring set based on the expanded node window, and taking the window temperature data as second environment identification data;
step S640: and constructing the environment influence data according to the first environment identification data and the second environment identification data.
Further, step S640 of the present application further includes:
step S641: calculating the temperature change speed of the window temperature data in unit time to obtain temperature change speed data;
step S642: adding the temperature change rate data to the second environment identification data;
step S643: performing temperature range calculation on the environment temperature monitoring set to obtain a temperature range value, and taking the temperature range value as third environment identification data;
step S644: and constructing the environmental impact data according to the first environmental identification data, the second environmental identification data and the third environmental identification data.
Specifically, the environment temperature monitoring set is traversed, real-time temperature data corresponding to the monitoring time nodes are read, and time node identification and time sequence arrangement are carried out on the real-time temperature data to serve as the first environment identification data. The change speed and the change grade of the environment are monitoring influence factors, the environment change monitoring window is set for monitoring the real-time environment state change, and if the environment is in a stable state within a certain time interval, the current read real-time temperature data can meet the evaluation requirement without adding monitoring nodes; if the environment is in a frequent change state, the first environment identification data does not have real-time effectiveness and is not suitable for the real-time environment, a time interval corresponding to the monitoring time node is determined based on the environment change monitoring window, the environment change key time node in the time interval is monitored and used as a newly added node, and node window expansion is performed on the monitoring time node. Further, traversing the environment temperature detection set, matching and extracting window temperature data corresponding to the expanded node window, and taking the window temperature data as the second environment identification data. And carrying out time sequence integration summarization on the first environment identification data and the second environment identification data to serve as the environment influence data.
Specifically, the window temperature data includes the first environmental identification data and window temperature data of newly added nodes, node data are integrated based on time sequence, a temperature change speed in unit time is calculated, a temperature change speed sequence with time sequence identification is generated, wherein each sequence node, namely, the temperature change speed, has sign identification, so that temperature rise and temperature drop are judged, and the temperature change speed data are obtained. And further adding the temperature change rate to the second environment identification data. And performing temperature correction based on the environment temperature set, determining a maximum temperature value and a minimum temperature value, performing difference calculation on the maximum temperature value and the minimum temperature value, taking the maximum temperature value as the temperature difference value, and taking the temperature difference value as the third environment identification data. And summarizing and integrating the first environment identification data, the second environment identification data and the third environment identification data to obtain environment influence data, wherein the environment influence data has real-time effectiveness and can reflect the fluctuation condition of the environment.
Further, step S800 also exists in the present application, including:
step S810: setting cloud operation and maintenance monitoring feedback nodes;
step S820: performing supervision operation data feature aggregation in the nodes based on the cloud operation monitoring feedback nodes to obtain feature aggregation results;
step S830: and obtaining predicted environment change data, and carrying out operation and maintenance management on the cloud operation and maintenance monitoring feedback node through the environment change data and the characteristic aggregation result.
Further, step S830 of the present application further includes:
step S831: setting a data outlier threshold;
step S832: when the supervision operation and maintenance data in the node can meet the data abnormal value threshold, generating a newly added adjustment node;
step S833: and performing operation and maintenance management through the newly added adjustment node, and recording operation and maintenance management data.
Specifically, a monitoring feedback period of the cloud operation is determined, and the cloud operation monitoring feedback node, namely a timing execution node for operation and maintenance management, is configured based on the monitoring feedback period. And aiming at the cloud operation and maintenance monitoring feedback node, invoking the supervision operation and maintenance data in the node, namely the supervision operation and maintenance data in the corresponding time interval between the current cloud operation and maintenance monitoring feedback node and the upper node, and performing feature aggregation to determine the state features of each infrastructure as the feature aggregation result. And predicting based on the real-time environment data, and can assist the forecast information, and predicting by combining the historical environment change trend to acquire the environment change data. And further performing environment suitability management adjustment on the cloud operation and maintenance monitoring feedback node based on the environment change data and the characteristic aggregation result and on the operation and maintenance live condition so as to ensure the stability and environment suitability of the operation and maintenance management condition in a future time period.
Meanwhile, in the operation process of the infrastructure, when abnormal data are monitored, operation and maintenance adjustment is needed in time so as to avoid influencing normal operation. And setting the data abnormality threshold, namely, a data critical value for performing operation abnormality judgment. Judging whether the supervision operation and maintenance data in the nodes meet the data abnormal threshold, and when the supervision operation and maintenance data in the nodes do not meet the data abnormal threshold, carrying out node new addition on the basis of the arrangement of the cloud operation and maintenance monitoring feedback nodes, and timely carrying out operation and maintenance adjustment to generate the new addition adjustment nodes, wherein the time points of the new addition adjustment nodes are consistent with the monitoring and identification time of the abnormal data. And regulating and controlling the infrastructure based on the supervision operation and maintenance data at the newly added regulating node, and recording the operation and maintenance management data for subsequent operation and maintenance reference.
Further, step S900 also exists in the present application, including:
step S910: carrying out data record on the supervision operation and maintenance data, and carrying out statistics to obtain an operation and maintenance record;
step S920: performing feature analysis on the operation and maintenance records to obtain feature statistics results;
step S930: and performing environment adaptation evaluation according to the characteristic statistical result, the facility basic information and the environment temperature monitoring set, and generating feedback optimization data based on the evaluation result.
And particularly, carrying out statistics record on the supervision operation and maintenance data to obtain the operation and maintenance record, wherein the operation and maintenance record is provided with a time identifier. And determining multi-feature dimensions, mapping the multi-feature dimensions with various abnormal facility operation conditions, respectively carrying out feature extraction statistics, such as visual features of facility structure damage, abnormal operation and the like, correspondingly associating the extracted features with the infrastructure, and generating the feature statistics result. And carrying out feature extraction based on real-time operation and maintenance data so as to ensure the operation and maintenance fit degree of the feature statistical result and the infrastructure, and having more reference value. And carrying out information matching on the characteristic statistical result, the facility basic information and the environment temperature monitoring set, carrying out environment influence analysis of facility operation based on the matching result, obtaining an environment suitability evaluation result, preferably, carrying out attribution judgment by configurable multi-stage environment adaptation level, carrying out adaptation adjustment based on the evaluation result so as to improve environment fitness, generating feedback optimization data, and further improving the accuracy of infrastructure operation and maintenance management by the feedback optimization data.
Example two
Based on the same inventive concept as the infrastructure supervision method based on cloud operation and maintenance in the foregoing embodiment, as shown in fig. 4, the present application provides an infrastructure supervision system based on cloud operation and maintenance, where the system includes:
the information reading module 11 is used for establishing communication connection between the data interaction device and an infrastructure and reading infrastructure foundation information of the infrastructure;
the temperature monitoring module 12 is used for monitoring the environmental temperature of the infrastructure through the temperature acquisition device, and obtaining an environmental temperature monitoring set through statistics;
the data acquisition module 13 is used for acquiring facility monitoring data of the infrastructure, and performing auxiliary acquisition through the image acquisition device to obtain an auxiliary acquisition result;
the first supervision information acquisition module 14 is configured to perform monitoring verification on the facility monitoring data based on the auxiliary acquisition result, so as to obtain first supervision information;
the second supervision information acquisition module 15 is configured to obtain a data response duration of the facility monitoring data, and obtain second supervision information based on the data response duration and the facility basic information;
the data calling module 16 is used for reading a monitoring time node of the facility monitoring data, calling the temperature data of the environment temperature monitoring set through the monitoring time node, and constructing environment influence data;
and the facility evaluation module 17 is used for performing state evaluation of the infrastructure through the first supervision information, the second supervision information and the environmental impact data to generate supervision operation and maintenance data.
Further, the system further comprises:
the first environment identification data acquisition module is used for reading real-time temperature data of the environment temperature monitoring set corresponding to the monitoring time node and taking the real-time temperature data as first environment identification data;
the node window expansion module is used for setting an environment change monitoring window and expanding the node window of the monitoring time node based on the environment change monitoring window;
the window temperature data extraction module is used for extracting window temperature data of the environment temperature monitoring set based on the expanded node window, and taking the window temperature data as second environment identification data;
and the data construction module is used for constructing the environment influence data according to the first environment identification data and the second environment identification data.
Further, the system further comprises:
the temperature change speed calculation module is used for calculating the temperature change speed of the window temperature data in unit time to obtain temperature change speed data;
a second environment identification data determination module for adding the temperature change speed data to the second environment identification data;
the third environment identification data determining module is used for carrying out temperature range calculation on the environment temperature monitoring set to obtain a temperature range value, and the temperature range value is used as third environment identification data;
the environment influence data acquisition module is used for constructing the environment influence data according to the first environment identification data, the second environment identification data and the third environment identification data.
Further, the system further comprises:
the facility detection result acquisition module is used for acquiring a facility detection result based on the facility monitoring data;
the result verification module is used for obtaining an image acquisition result of the image acquisition device, carrying out data support verification on the image acquisition result and obtaining a data support verification result;
the result screening and identifying module is used for screening and identifying the image acquisition result when the data support verification result is verification passing, and obtaining a verification detection result according to the screening and identifying result;
and the result comparison module is used for comparing the result through the verification detection result and the facility detection result to obtain the first supervision information.
Further, the system further comprises:
the node setting module is used for setting cloud operation and maintenance monitoring feedback nodes;
the characteristic aggregation module is used for carrying out characteristic aggregation of supervision operation data in the nodes based on the cloud operation monitoring feedback nodes to obtain characteristic aggregation results;
and the node management module is used for obtaining predicted environment change data and carrying out operation and maintenance management on the cloud operation and maintenance monitoring feedback node through the environment change data and the characteristic aggregation result.
Further, the system further comprises:
the threshold setting module is used for setting a data abnormal value threshold;
the node adding module is used for generating a new adding adjustment node when the supervision operation and maintenance data in the node can meet the data abnormal value threshold;
and the management recording module is used for carrying out operation and maintenance management through the newly added adjusting node and recording operation and maintenance management data.
Further, the system further comprises:
the data recording module is used for recording the data of the supervision operation and maintenance data and obtaining the operation and maintenance record through statistics;
the feature analysis module is used for carrying out feature analysis on the operation and maintenance records to obtain feature statistical results;
and the environment adaptation evaluation module is used for performing environment adaptation evaluation according to the characteristic statistical result, the facility basic information and the environment temperature monitoring set, and generating feedback optimization data based on the evaluation result.
Through the foregoing detailed description of an infrastructure supervision method based on cloud operation and maintenance, those skilled in the art can clearly know an infrastructure supervision method and system based on cloud operation and maintenance in this embodiment, and for the device disclosed in the embodiment, since the device corresponds to the method disclosed in the embodiment, the description is relatively simple, and relevant places refer to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. An infrastructure supervision method based on cloud operation and maintenance, which is characterized in that the method is applied to an infrastructure supervision system, wherein the infrastructure supervision system is in communication connection with a temperature acquisition device, a data interaction device and an image acquisition device, and the method comprises the following steps:
establishing communication connection between the data interaction device and an infrastructure, and reading infrastructure foundation information of the infrastructure;
the temperature acquisition device monitors the environmental temperature of the infrastructure, and the environmental temperature monitoring set is obtained through statistics;
acquiring facility monitoring data of the infrastructure, and performing auxiliary acquisition through the image acquisition device to obtain an auxiliary acquisition result;
monitoring and verifying the facility monitoring data based on the auxiliary acquisition result to obtain first supervision information;
acquiring a data response time length of the facility monitoring data, and acquiring second supervision information based on the data response time length and the facility basic information;
reading a monitoring time node of the facility monitoring data, calling the temperature data of the environment temperature monitoring set through the monitoring time node, and constructing environment influence data;
and performing state evaluation of the infrastructure through the first supervision information, the second supervision information and the environment influence data to generate supervision operation and maintenance data.
2. The method of claim 1, wherein the method comprises:
reading real-time temperature data of the environment temperature monitoring set corresponding to the monitoring time node, and taking the real-time temperature data as first environment identification data;
setting an environment change monitoring window, and expanding a node window of the monitoring time node based on the environment change monitoring window;
extracting window temperature data of the environment temperature monitoring set based on the expanded node window, and taking the window temperature data as second environment identification data;
and constructing the environment influence data according to the first environment identification data and the second environment identification data.
3. The method according to claim 2, wherein the method comprises:
calculating the temperature change speed of the window temperature data in unit time to obtain temperature change speed data;
adding the temperature change rate data to the second environment identification data;
performing temperature range calculation on the environment temperature monitoring set to obtain a temperature range value, and taking the temperature range value as third environment identification data;
and constructing the environmental impact data according to the first environmental identification data, the second environmental identification data and the third environmental identification data.
4. The method of claim 1, wherein the method comprises:
obtaining a facility detection result based on the facility monitoring data;
obtaining an image acquisition result of the image acquisition device, and carrying out data support verification on the image acquisition result to obtain a data support verification result;
when the data support verification result is verification passing, screening and identifying the image acquisition result, and obtaining a verification detection result according to the screening and identifying result;
and comparing the result of the verification detection result with the result of the facility detection result to obtain the first supervision information.
5. The method of claim 1, wherein the method comprises:
setting cloud operation and maintenance monitoring feedback nodes;
performing supervision operation data feature aggregation in the nodes based on the cloud operation monitoring feedback nodes to obtain feature aggregation results;
and obtaining predicted environment change data, and carrying out operation and maintenance management on the cloud operation and maintenance monitoring feedback node through the environment change data and the characteristic aggregation result.
6. The method of claim 5, wherein the method comprises:
setting a data outlier threshold;
when the supervision operation and maintenance data in the node can meet the data abnormal value threshold, generating a newly added adjustment node;
and performing operation and maintenance management through the newly added adjustment node, and recording operation and maintenance management data.
7. The method of claim 1, wherein the method comprises:
carrying out data record on the supervision operation and maintenance data, and carrying out statistics to obtain an operation and maintenance record;
performing feature analysis on the operation and maintenance records to obtain feature statistics results;
and performing environment adaptation evaluation according to the characteristic statistical result, the facility basic information and the environment temperature monitoring set, and generating feedback optimization data based on the evaluation result.
8. An infrastructure supervision system based on cloud operation and maintenance, characterized in that the system is in communication connection with a temperature acquisition device, a data interaction device and an image acquisition device, and the system comprises:
the information reading module is used for establishing communication connection between the data interaction device and the infrastructure and reading infrastructure information of the infrastructure;
the temperature monitoring module is used for monitoring the environmental temperature of the infrastructure through the temperature acquisition device and obtaining an environmental temperature monitoring set through statistics;
the data acquisition module is used for acquiring facility monitoring data of the infrastructure and carrying out auxiliary acquisition through the image acquisition device to obtain an auxiliary acquisition result;
the first supervision information acquisition module is used for carrying out monitoring verification on the facility monitoring data based on the auxiliary acquisition result to obtain first supervision information;
the second supervision information acquisition module is used for acquiring data response time length of the facility monitoring data and acquiring second supervision information based on the data response time length and the facility basic information;
the data calling module is used for reading monitoring time nodes of the facility monitoring data, calling the temperature data of the environment temperature monitoring set through the monitoring time nodes and constructing environment influence data;
and the facility evaluation module is used for evaluating the state of the infrastructure through the first supervision information, the second supervision information and the environment influence data to generate supervision operation and maintenance data.
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