CN117909790A - Communication power supply monitoring method and system - Google Patents
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Abstract
The invention discloses a communication power supply monitoring method and a system, wherein the method comprises the following steps: acquiring power supply information corresponding to each communication power supply, and establishing a communication power supply information diagram according to the power supply information; carrying out similar partition according to the communication power supply information graph to obtain a plurality of monitoring areas; selecting one communication power supply as a reference power supply in each monitoring area, and acquiring direct acquisition data of each communication power supply in real time; the reference power supply is optimally collected to obtain optimized collection data, and direct collection data corresponding to the optimized collection data is identified and integrated into correction data; establishing an optimization model of each monitoring area, and correcting the direct acquisition data of each communication power supply in the monitoring area through the optimization model to obtain the accurate acquisition data corresponding to each communication power supply; displaying each accurate acquired data at each communication power supply in the communication power supply information graph in real time; and carrying out real-time monitoring and evaluation on each communication power supply based on the communication power supply information graph. The invention optimizes the monitoring standard and improves the monitoring precision.
Description
Technical Field
The invention relates to the technical field of communication power supply monitoring, in particular to a communication power supply monitoring method and system.
Background
With the daily variation of the internet of things and communication technology, modern communication systems show a trend of expanding power supply capacity and complicating structures. This revolution has prompted a proliferation in the number of elements such as communication devices (e.g., switches, routers, intelligent control boxes), environmental monitoring devices (e.g., temperature and humidity sensors, water logging detectors, smoke detectors), power supply devices (including switching power supplies, uninterruptible Power Supplies (UPS), battery packs, etc.), and air conditioning systems. These devices operate in complex field environments, often subject to multiple risks of human operational errors, natural disasters (e.g., lightning strikes, electrostatic disturbances, power outages), etc., which can lead to device failure or even downtime. Therefore, continuous and accurate monitoring of these critical devices is particularly important.
However, the conventional power management mode of the communication device, that is, operation and maintenance management is performed in units of a single communication site, and periodic inspection and maintenance of the device are performed by configuring a full-time operation and maintenance person for each site, has been difficult to adapt to the current demands. With the rapid expansion of communication sites, the workload of operation and maintenance personnel is continuously increased, and the working efficiency is not improved correspondingly. To effectively address this challenge, the introduction of advanced communication power monitoring systems has become a necessary choice for industry development.
Nevertheless, existing communication power monitoring systems still have shortcomings in terms of monitoring accuracy. In particular, monitoring using a cut-off evaluation criterion often results in deviations in power monitoring data for certain sites due to variability in the power supply systems for the different communication sites. In addition, the incompatibility problem of the device interface may also directly affect the accuracy of the monitoring data.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a communication power supply monitoring method and a system thereof so as to realize accurate monitoring and evaluation of power supply systems of different communication sites, thereby improving the stability and reliability of the whole communication network.
In order to solve the technical problems, the invention provides a communication power supply monitoring method, which comprises the following steps:
step S1, identifying each communication power supply to be monitored, acquiring power supply information corresponding to each communication power supply, and establishing a corresponding communication power supply information diagram according to the acquired power supply information;
Step S2, carrying out feature analysis and classification on the communication power supply based on a preset rule to form a plurality of monitoring areas with similar power supply characteristics, and marking different types of monitoring areas on the communication power supply information graph;
step S3, selecting a communication power supply meeting preset conditions as a reference power supply in each monitoring area;
S4, monitoring data of all communication power supplies are obtained in real time, and the collected monitoring data are marked as direct collection data; the method comprises the steps of performing optimized acquisition on a reference power supply to obtain corresponding optimized acquisition data, identifying direct acquisition data corresponding to the optimized acquisition data in the reference power supply, and integrating the direct acquisition data into correction data;
Step S5, based on the correction data, correcting the direct acquisition data of each communication power supply in the monitoring area through a preset optimization model corresponding to each monitoring area to obtain accurate acquisition data corresponding to each communication power supply;
And S6, displaying the accurate acquisition data in the communication power supply information graph in real time, and carrying out real-time monitoring and evaluation based on the accurate acquisition data and the power supply characteristics.
Preferably, in the step S1, the power information includes a communication power position, a brand type, a model, a date of use, a maintenance record, and surrounding environment data; the establishing a corresponding communication power supply information graph specifically comprises the following steps: and identifying the position of each communication power supply in the power supply information, marking the corresponding communication power supply in the map, supplementing the corresponding power supply information at the marked communication power supply, and marking the current map as a communication power supply information map.
Preferably, the step S2 specifically includes:
Step S21, setting a feature classification template;
Step S22, identifying power supply information corresponding to each communication power supply in the communication power supply information graph, and extracting and classifying power supply characteristics of the power supply information corresponding to each communication power supply according to the characteristic classification template;
and S23, marking different types of monitoring areas on the communication power supply information graph.
Preferably, the step S21 specifically includes:
determining monitoring parameters required for monitoring the communication power supply;
Determining corresponding monitoring items and required monitoring equipment according to each monitoring parameter;
determining a target classification item from the monitoring items;
and integrating all target classification items to form the feature classification template.
Preferably, the step S22 specifically includes:
identifying detailed information of each communication power supply from the communication power supply information map;
extracting power supply characteristics from the detailed information of each communication power supply according to the characteristic classification template;
And carrying out similarity analysis on the extracted power supply characteristics, classifying the same or similar power supply characteristics into one type according to a preset similarity recognition standard, and forming a plurality of monitoring classifications.
Preferably, the similarity analysis specifically includes:
And identifying target item feature data corresponding to each classified target item in the power supply features, matching each target item feature data with a similar range corresponding to the corresponding classified target item, and determining whether each power supply feature is similar.
Preferably, the step S23 specifically includes:
in the communication power supply information graph, the same classification labels are marked for the communication power supplies belonging to the same monitoring classification;
and combining the communication power supplies with the same classification labels to form corresponding monitoring areas, and carrying out corresponding marks in the communication power supply information graph.
Preferably, the step S3 specifically includes:
identifying each communication power supply in the monitoring area, and determining each power supply to be selected according to the power supply characteristics of each communication power supply;
identifying the number of communication power supplies corresponding to each power supply to be selected, and marking the number as an assimilation number;
Analyzing the power supply characteristics of the power supplies to be selected through the established similarity assignment model to obtain a similarity difference XSj between the power supplies to be selected and other power supplies to be selected, wherein j=1, 2, … …, m and m are the number of the power supplies to be selected, and the number of the power supplies to be selected is required to be compared with the number of the priority levels;
According to the priority formula Calculating a corresponding priority value, wherein YW is the priority value, and b1 and b2 are proportionality coefficients; NZ is the assimilation number of the power supply to be selected; nj represents the assimilation number corresponding to other power supplies to be selected;
And selecting the power supply to be selected with the largest priority value as a reference power supply.
Preferably, the calculation method of the similarity difference between the power supply to be selected and other power supplies to be selected is as follows:
analyzing the power supply characteristics of the power supply to be selected through the established similarity assignment model, and calculating to obtain the similarity difference between the power supply to be selected and other power supplies to be selected according to the following formula:
Wherein XS is a similarity difference value, f (xi) is a similarity assignment model, xi is target item characteristic data corresponding to the power supply to be selected and other corresponding power supplies to be selected, and is used for performing similarity assignment, i represents corresponding classification target items, i=1, 2, … …, n and n is the number of the classification target items; εi is a random error term; similarity assignment model is an isolated forest algorithm
The similarity assignment model is established by acquiring historical monitoring data of the same monitoring classified communication power supply, identifying historical power supply characteristics corresponding to the historical monitoring data and according to the acquired historical power supply characteristic data.
Preferably, the step S6 further includes: and setting corresponding matched monitoring standards for each monitoring area, and monitoring and evaluating each communication power supply in the monitoring area according to the set monitoring standards.
Preferably, the monitoring evaluation specifically includes:
acquiring the current monitoring standard of the communication power supply, and identifying each standard item and each standard item standard in the monitoring standard;
identifying the communication power supply state corresponding to each standard item standard, matching corresponding coordinate points in the simulation curve, and marking as target points;
Identifying a reference power supply corresponding to each monitoring area, acquiring power supply characteristics corresponding to the reference power supply, marking corresponding area points in the simulation curve according to the acquired power supply characteristics, matching according to the relation between the power supply characteristics and the communication power supply states, and determining coordinate points corresponding to the corresponding communication power supply states, wherein the coordinate points are marked as area points;
Identifying the position relationship between each regional point and the target point;
when the regional point is not inferior to the target point, taking the current monitoring standard as the monitoring standard of each communication power supply in the monitoring region;
When the regional point is inferior to the target point, identifying a standard result value and a regional result value which correspond to the standard point and the regional point in the simulation curve respectively, and marking the obtained standard result value and regional result value as Pg and Pz respectively; calculating an adjustment coefficient of the standard term according to an adjustment coefficient formula delta=1+exp [ - (Pg-Pz)/(Pg-1), adjusting the standard of the standard term according to the obtained adjustment coefficient, multiplying the adjustment coefficient to obtain a monitoring standard of the monitoring area, and taking the obtained monitoring standard as a monitoring standard of each communication power supply in the monitoring area.
The invention also provides a communication power supply monitoring system, which comprises:
The information identification and mapping module is used for identifying each communication power supply to be monitored, acquiring power supply information corresponding to each communication power supply, and building a corresponding communication power supply information map according to the acquired power supply information;
The characteristic analysis and classification module is used for carrying out characteristic analysis and classification on the communication power supply based on a preset rule to form a plurality of monitoring areas with similar power supply characteristics, and marking different types of monitoring areas on the communication power supply information graph;
the reference power supply selection module is used for selecting a communication power supply meeting preset conditions as a reference power supply in each monitoring area;
the data acquisition and correction module acquires the monitoring data of each communication power supply in real time, and marks the acquired monitoring data as direct acquisition data; the method comprises the steps of performing optimized acquisition on a reference power supply to obtain corresponding optimized acquisition data, identifying direct acquisition data corresponding to the optimized acquisition data in the reference power supply, and integrating the direct acquisition data into correction data; correcting the direct acquisition data of each communication power supply in the monitoring area through a preset optimization model corresponding to each monitoring area according to the correction data to obtain accurate acquisition data corresponding to each communication power supply;
And the real-time monitoring and evaluating module is used for displaying the accurate acquisition data in the communication power supply information graph in real time and carrying out real-time monitoring and evaluation based on the accurate acquisition data and the power supply characteristics.
The implementation of the invention has the following beneficial effects: the method comprises the steps of obtaining power supply information corresponding to each communication power supply, establishing a communication power supply information diagram according to the power supply information, and achieving similar partition according to the communication power supply information diagram to obtain a plurality of monitoring areas; the problem of differentiation of a plurality of communication power supplies is solved by utilizing the monitoring area, and the problem of low monitoring precision caused by the differentiation of a plurality of communication power supplies is solved; meanwhile, continuous optimization of direct data acquisition of each communication power supply in the same monitoring area is realized by utilizing the reference power supply in each monitoring area, so that the monitoring precision is improved; and the monitoring standard is optimized by utilizing the characteristics that the states of all communication power supplies in the same monitoring area are the same or similar, so that accurate monitoring is realized.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of a communication power supply monitoring method according to an embodiment of the invention.
Detailed Description
The following description of embodiments refers to the accompanying drawings, which illustrate specific embodiments in which the invention may be practiced.
Referring to fig. 1, a first embodiment of the present invention provides a method for monitoring a communication power supply, including:
step S1, identifying each communication power supply to be monitored, acquiring power supply information corresponding to each communication power supply, and establishing a corresponding communication power supply information diagram according to the acquired power supply information;
Step S2, carrying out feature analysis and classification on the communication power supply based on a preset rule to form a plurality of monitoring areas with similar power supply characteristics, and marking different types of monitoring areas on the communication power supply information graph;
step S3, selecting a communication power supply meeting preset conditions as a reference power supply in each monitoring area;
S4, monitoring data of all communication power supplies are obtained in real time, and the collected monitoring data are marked as direct collection data; the method comprises the steps of performing optimized acquisition on a reference power supply to obtain corresponding optimized acquisition data, identifying direct acquisition data corresponding to the optimized acquisition data in the reference power supply, and integrating the direct acquisition data into correction data;
Step S5, based on the correction data, correcting the direct acquisition data of each communication power supply in the monitoring area through a preset optimization model corresponding to each monitoring area to obtain accurate acquisition data corresponding to each communication power supply;
And S6, displaying the accurate acquisition data in the communication power supply information graph in real time, and carrying out real-time monitoring and evaluation based on the accurate acquisition data and the power supply characteristics.
Specifically, in step S1, the power information includes relevant data such as a communication power position, a brand type, a model, a date of use, a maintenance record, surrounding environment data, and the like; specifically, data acquisition is carried out according to preset information items, so that power supply information corresponding to each communication power supply is formed. The communication power supply information graph is established according to the power supply information of each communication power supply, the position of each communication power supply in the power supply information is identified, the corresponding communication power supply is marked in the map, the corresponding power supply information is supplemented at the marked communication power supply, and the current map is marked as the communication power supply information graph.
Step S2, carrying out similar partition according to the communication power supply information graph to obtain a plurality of monitoring areas; and corresponding marks are carried out on each monitoring area in the communication power supply information graph. Specifically, the method comprises the following steps:
Step S21, setting a feature classification template;
Step S22, identifying power supply information corresponding to each communication power supply in the communication power supply information graph, and extracting and classifying power supply characteristics of the power supply information corresponding to each communication power supply according to the characteristic classification template;
and S23, marking different types of monitoring areas on the communication power supply information graph.
For the step S21 of setting a feature classification template, the specific flow is as follows:
(1) Acquiring key monitoring parameters: key parameters required for monitoring the communication power supply, such as temperature, humidity, voltage, etc., are determined.
(2) Determining monitoring items and equipment: and determining corresponding monitoring items and required monitoring equipment according to each monitoring parameter, and ensuring the accuracy and effectiveness of data acquisition. The monitoring device may be a corresponding existing monitoring device at the communication power supply or a related monitoring device added later.
(3) Analyzing the target classification item: according to the common sense of monitoring data acquisition of a communication power supply in the prior art, which monitoring items and corresponding monitoring devices can cause the acquired data to be different from real data along with the change of conditions are analyzed, and the monitoring items are defined as target classification items. If the joint of a certain power supply changes over time, so that the voltage detected later is not the real voltage, the corresponding monitoring item is the target classification item; the method specifically can be used for carrying out discussion setting through an expert group, determining corresponding target classification items, forming corresponding target classification detail tables, and carrying out corresponding matching when analysis is carried out subsequently.
(4) Constructing a feature classification template: and integrating all target classification items to form a characteristic classification template for extracting and classifying the subsequent power supply characteristics.
For the step S22 of extracting and classifying the power supply features, the specific flow is as follows:
(1) Identifying power supply information: the detailed information of each communication power supply is identified from the communication power supply information map.
(2) Extracting power supply characteristics: and extracting key data from the power information of each communication power supply according to the characteristic classification template to form corresponding power supply characteristics.
(3) Classifying power supply characteristics: and (3) carrying out similarity analysis on the extracted power supply characteristics, classifying the same or similar power supply characteristics into one type according to a preset similarity identification standard (such as the same range of influences of temperature, humidity and the like), and forming a plurality of monitoring classifications. The similar identification standard is that the influence of all the characteristics in the power supply characteristics on the corresponding monitoring is the same, if the influence is the same, the similarity is judged, otherwise, the dissimilarity is judged; the method comprises the steps that a similarity identification standard corresponding to each target classification item is required to be set, which characteristic data of the target classification item can be identified as corresponding identical to form a corresponding range, such as temperature and humidity influence, which temperature and humidity influence in a section are identical to each other, the corresponding range is set, matching is carried out subsequently, and the existing large amount of monitoring historical data, related specifications, journals, papers and the like can be combined for setting to form each similar range corresponding to the target classification item; identifying target item feature data corresponding to each classified target item in the power supply features, matching each target item feature data with a similar range corresponding to the corresponding classified target item, and determining whether each power supply feature is similar; all are similar, the power supply characteristics are judged to be similar.
For the step S23 of marking the monitoring area, the specific flow is as follows:
(1) Marking a classification label: in the communication power supply information graph, the same class label is marked for the communication power supply belonging to the same monitoring class.
(2) Combination monitoring area: and combining the communication power supplies with the same classification labels to form corresponding monitoring areas, and carrying out corresponding marks in the communication power supply information graph.
Through the steps, the step S2 completes the marking of the same type of partition and the monitoring area based on the communication power supply information graph, and provides important basis for the follow-up accurate monitoring and evaluation. Meanwhile, the classification and marking method is beneficial to improving the monitoring efficiency and reducing the risks of false alarm and missing report.
And step S3, selecting a communication power supply meeting preset conditions as a reference power supply in each monitoring area, and carrying out corresponding marks in a communication power supply information diagram.
In one embodiment, an optional manner of selecting one of the communication power sources as the reference power source may be employed.
In other embodiments, to further eliminate errors and improve the accuracy of subsequent corrections, the reference power supply is selected as follows:
Identifying each communication power supply in the monitoring area, and determining each power supply to be selected according to the power characteristics of each communication power supply, wherein each communication power supply with the same power characteristics is used as one power supply to be selected, and the number corresponding to the different power characteristics is the number of the power supplies to be selected;
identifying the number of communication power supplies corresponding to each power supply to be selected, and marking the number as an assimilation number;
Acquiring historical monitoring data of the same monitoring classified communication power supply, identifying historical power supply characteristics corresponding to the historical monitoring data, and establishing a similar assignment model according to the acquired historical power supply characteristic data; analyzing the power supply characteristics of the power supply to be selected through the established similarity assignment model to obtain a similarity difference value between the power supply to be selected and other power supplies to be selected, wherein the calculation formula of the similarity difference value is as follows Wherein: XS is a similarity difference value, f (xi) is a similarity assignment model, xi is target item feature data corresponding to the power supply to be selected and other corresponding power supplies to be selected, and is used for performing similarity assignment, i represents corresponding classification target items, i=1, 2, … …, n and n is the number of the classification target items; εi is a random error term; the similarity assignment model is an isolated forest algorithm/>And the similarity difference exceeds a preset standard to represent data abnormality, and the historical power supply characteristic data is utilized to establish and train a similarity assignment model.
Marking the similarity difference between the power supply to be selected and other power supplies to be selected as XSj, wherein j=1, 2, … …, m and m are the number of the power supplies to be selected with the priority to be compared;
According to the priority formula Calculating a corresponding priority value, wherein YW is the priority value, b1 and b2 are proportionality coefficients, and the value range is 0< b1 less than or equal to 1,0< b2 less than or equal to 1; NZ is the assimilation number of the power supply to be selected; nj represents the assimilation number corresponding to other power supplies to be selected;
And selecting the power supply to be selected with the largest priority value as a reference power supply.
It can be understood that the above formulas are all formulas with dimensions removed and numerical calculations, and the formulas are formulas obtained by acquiring a large amount of data and performing software simulation to obtain the closest formula to the actual situation, and preset parameters and preset thresholds in the formulas are set by those skilled in the art according to the actual situation or are obtained by simulating a large amount of data.
In step S4, monitoring data of each communication power supply are obtained in real time, and the collected monitoring data are marked as direct collection data; and carrying out optimized acquisition on the reference power supply to obtain corresponding optimized acquisition data, and identifying direct acquisition data corresponding to the optimized acquisition data in the reference power supply to integrate the direct acquisition data into correction data.
Specifically, the reference power supply is optimally monitored by the existing related monitoring technology, such as a part of monitoring equipment for more precise monitoring is matched at the reference power supply, and the monitoring equipment is used for collecting precise monitoring data as optimized collection data; the optimized acquisition can also be performed manually. The specific optimal acquisition mode needs to be selected according to the actual situation of a user; the optimization costs corresponding to different optimization acquisition modes are different.
When the optimized acquisition data are acquired, the original monitoring equipment synchronously acquires the data directly. The optimized acquisition data is more accurate monitoring data than the direct acquisition data and is used for correcting the direct acquisition data of other communication power supplies in the monitoring area.
And S5, correcting the direct acquisition data of each communication power supply in the monitoring area through a preset optimization model corresponding to each monitoring area based on the correction data, and obtaining the accurate acquisition data corresponding to each communication power supply.
According to the conversion relation between the direct acquisition data and the optimized acquisition data in the correction data, the direct acquisition data of other communication power supplies in the same monitoring area are converted, and accurate acquisition data are formed.
The correction model is built based on the existing intelligent model, such as a neural network, and data acquisition is performed in an exemplary and optimized monitoring mode to form a plurality of groups of correction data of the monitoring area, and accurate acquisition data corresponding to other direct acquisition data in the monitoring area is set according to the direct conversion relation between the direct acquisition data and the optimized acquisition data in the correction data; integrating the artificial intelligent models into a training set to construct artificial intelligent models; the artificial intelligent model comprises an error reverse propagation neural network, an RBF neural network and a deep convolution neural network, a training set is input into the artificial intelligent model for training, a primary artificial intelligent model is obtained, and the training set, a test set and a check set 3:2:2, setting a test set and a check set according to the proportion, wherein the test set and the check set take correction data and corresponding direct acquisition data as input data, take accurate acquisition data as output data, train the primary artificial intelligent model again, and mark the primary artificial intelligent model after successful training as an optimization model.
Of course, the correction model may be established by using the existing prior art, as long as the optimization of the directly acquired data based on the correction data can be achieved.
And step S6, displaying the accurate acquisition data in the communication power supply information graph in real time, and carrying out real-time monitoring and evaluation based on the accurate acquisition data and the power supply characteristics.
In the embodiment of the invention, the communication power supply information graph can be optimized according to the monitoring requirement of the user, so that the communication power supply information graph meets the monitoring requirement, for example, the communication power supply information graph is displayed by utilizing various existing data statistics modes.
In one embodiment, each communication power supply is monitored and evaluated in real time based on the communication power supply information graph, and the evaluation analysis can be directly performed by using the related evaluation mode in the existing communication power supply monitoring system to judge whether each communication power supply has an abnormal condition or predict the possible abnormal condition.
In one embodiment, since the communication power sources with the same or similar conditions are already accurately divided into the same monitoring area, the matched monitoring standard can be set for all the communication power sources in the monitoring area, so as to realize more accurate monitoring evaluation. The monitoring standard of each specific monitoring area can be set according to the existing communication power supply monitoring standard setting mode, namely, the monitoring standard is set according to the communication power supply with the same or similar basic conditions in the monitoring area.
The monitoring and evaluating flow disclosed by the embodiment of the invention is as follows:
Acquiring the current monitoring standard of the communication power supply, and identifying each standard item and each standard item standard in the monitoring standard; standard items such as temperature standard, humidity standard, voltage standard and the like; and standard terms such as standard temperature of temperature standard, standard voltage of voltage standard, and the like.
The communication power supply state corresponding to each standard item standard is obtained, namely the communication power supply state is set to be the standard item standard according to what condition of the communication power supply; typically obtained by means of laboratory simulation experiments.
Experimental data of the experimental simulation communication power supply in different states form simulation experimental data, a simulation curve is drawn according to the obtained simulation experimental data, the simulation curve is established by taking the state of the communication power supply as a horizontal axis and taking the quality of an experimental result as a vertical axis, wherein the quality of the experimental result is evaluated according to the performance corresponding to the experimental data and is represented by a result value; corresponding simulation models can be established based on a CNN network or a DNN network and the like, and a corresponding training set is established in a manual mode to train, wherein the training set comprises simulation experiment data and corresponding set coordinate points; the simulation model after successful training is analyzed to obtain corresponding coordinate points, and a corresponding simulation curve is drawn according to the obtained coordinate points, so that the specific building and training process is not described in detail in the invention because the neural network is the prior art in the field.
And identifying the communication power supply state corresponding to each standard item standard, matching corresponding coordinate points in the simulation curve, and marking the corresponding coordinate points as target points.
And identifying a reference power supply corresponding to each monitoring area, acquiring power supply characteristics corresponding to the reference power supply, marking corresponding area points in the simulation curve according to the acquired power supply characteristics, matching according to the relation between the power supply characteristics and the communication power supply state, and determining coordinate points corresponding to the corresponding communication power supply states, wherein the coordinate points are marked as area points.
Identifying the position relationship between each regional point and the target point;
when the regional point is not inferior to the target point, namely the regional point is not below the target point, the current monitoring standard is used as the monitoring standard of each communication power supply in the monitoring region.
When the regional point is inferior to the target point, namely the regional point is below the target point, identifying a standard result value and a regional result value which are respectively corresponding to the standard point and the regional point in the simulation curve, and respectively marking the obtained standard result value and the obtained regional result value as Pg and Pz; and calculating an adjustment coefficient of the standard item according to an adjustment coefficient formula delta=1+exp [ - (Pg-Pz)/(Pg-1), adjusting the standard of the standard item according to the obtained adjustment coefficient, multiplying the adjustment coefficient to obtain a monitoring standard of the monitoring area, and taking the obtained monitoring standard as a monitoring standard of each communication power supply in the monitoring area.
Corresponding to the communication power monitoring method of the first embodiment of the present invention, a second embodiment of the present invention provides a communication power monitoring system, including:
The information identification and mapping module is used for identifying each communication power supply to be monitored, acquiring power supply information corresponding to each communication power supply, and building a corresponding communication power supply information map according to the acquired power supply information;
The characteristic analysis and classification module is used for carrying out characteristic analysis and classification on the communication power supply based on a preset rule to form a plurality of monitoring areas with similar power supply characteristics, and marking different types of monitoring areas on the communication power supply information graph;
the reference power supply selection module is used for selecting a communication power supply meeting preset conditions as a reference power supply in each monitoring area;
the data acquisition and correction module acquires the monitoring data of each communication power supply in real time, and marks the acquired monitoring data as direct acquisition data; the method comprises the steps of performing optimized acquisition on a reference power supply to obtain corresponding optimized acquisition data, identifying direct acquisition data corresponding to the optimized acquisition data in the reference power supply, and integrating the direct acquisition data into correction data; correcting the direct acquisition data of each communication power supply in the monitoring area through a preset optimization model corresponding to each monitoring area according to the correction data to obtain accurate acquisition data corresponding to each communication power supply;
And the real-time monitoring and evaluating module is used for displaying the accurate acquisition data in the communication power supply information graph in real time and carrying out real-time monitoring and evaluation based on the accurate acquisition data and the power supply characteristics.
The reference power supply selection module is specifically configured to:
Identifying each communication power supply in the monitoring area, and determining each power supply to be selected according to the power characteristics of each communication power supply, wherein each communication power supply with the same power characteristics is used as one power supply to be selected, and the number corresponding to the different power characteristics is the number of the power supplies to be selected;
identifying the number of communication power supplies corresponding to each power supply to be selected, and marking the number as an assimilation number;
Acquiring historical monitoring data of the same monitoring classified communication power supply, identifying historical power supply characteristics corresponding to the historical monitoring data, and establishing a similar assignment model according to the acquired historical power supply characteristic data; analyzing the power supply characteristics of the power supply to be selected through the established similarity assignment model to obtain a similarity difference value between the power supply to be selected and other power supplies to be selected, wherein the calculation formula of the similarity difference value is as follows Wherein: XS is a similarity difference value, f (xi) is a similarity assignment model, xi is target item feature data corresponding to the power supply to be selected and other corresponding power supplies to be selected, and is used for performing similarity assignment, i represents corresponding classification target items, i=1, 2, … …, n and n is the number of the classification target items; εi is a random error term; the similarity assignment model is an isolated forest algorithm/>And the similarity difference exceeds a preset standard to represent data abnormality, and the historical power supply characteristic data is utilized to establish and train a similarity assignment model.
Marking the similarity difference between the power supply to be selected and other power supplies to be selected as XSj, wherein j=1, 2, … …, m and m are the number of the power supplies to be selected with the priority to be compared;
According to the priority formula Calculating a corresponding priority value, wherein YW is the priority value, b1 and b2 are proportionality coefficients, and the value range is 0< b1 less than or equal to 1,0< b2 less than or equal to 1; NZ is the assimilation number of the power supply to be selected; nj represents the assimilation number corresponding to other power supplies to be selected;
And selecting the power supply to be selected with the largest priority value as a reference power supply.
For the working principle and process of the present embodiment, please refer to the description of the first embodiment of the present invention, and the description is omitted here.
As can be seen from the above description, compared with the prior art, the embodiment of the present invention has the beneficial effects that by acquiring the power information corresponding to each communication power, and establishing a communication power information diagram according to the power information, the same type of partition is implemented according to the communication power information diagram, and a plurality of monitoring areas are obtained; the problem of differentiation of a plurality of communication power supplies is solved by utilizing the monitoring area, and the problem of low monitoring precision caused by the differentiation of a plurality of communication power supplies is solved; meanwhile, continuous optimization of direct data acquisition of each communication power supply in the same monitoring area is realized by utilizing the reference power supply in each monitoring area, so that the monitoring precision is improved; and the monitoring standard is optimized by utilizing the characteristics that the states of all communication power supplies in the same monitoring area are the same or similar, so that accurate monitoring is realized.
The foregoing disclosure is illustrative of the present invention and is not to be construed as limiting the scope of the invention, which is defined by the appended claims.
Claims (12)
1. A method for monitoring a communication power supply, comprising:
step S1, identifying each communication power supply to be monitored, acquiring power supply information corresponding to each communication power supply, and establishing a corresponding communication power supply information diagram according to the acquired power supply information;
Step S2, carrying out feature analysis and classification on the communication power supply based on a preset rule to form a plurality of monitoring areas with similar power supply characteristics, and marking different types of monitoring areas on the communication power supply information graph;
step S3, selecting a communication power supply meeting preset conditions as a reference power supply in each monitoring area;
S4, monitoring data of all communication power supplies are obtained in real time, and the collected monitoring data are marked as direct collection data; the method comprises the steps of performing optimized acquisition on a reference power supply to obtain corresponding optimized acquisition data, identifying direct acquisition data corresponding to the optimized acquisition data in the reference power supply, and integrating the direct acquisition data into correction data;
Step S5, based on the correction data, correcting the direct acquisition data of each communication power supply in the monitoring area through a preset optimization model corresponding to each monitoring area to obtain accurate acquisition data corresponding to each communication power supply;
And S6, displaying the accurate acquisition data in the communication power supply information graph in real time, and carrying out real-time monitoring and evaluation based on the accurate acquisition data and the power supply characteristics.
2. The method according to claim 1, wherein in the step S1, the power information includes a communication power location, a brand type, a model number, a date of use, a maintenance record, and surrounding environment data; the establishing a corresponding communication power supply information graph specifically comprises the following steps: and identifying the position of each communication power supply in the power supply information, marking the corresponding communication power supply in the map, supplementing the corresponding power supply information at the marked communication power supply, and marking the current map as a communication power supply information map.
3. The method according to claim 1, wherein the step S2 specifically comprises:
Step S21, setting a feature classification template;
Step S22, identifying power supply information corresponding to each communication power supply in the communication power supply information graph, and extracting and classifying power supply characteristics of the power supply information corresponding to each communication power supply according to the characteristic classification template;
and S23, marking different types of monitoring areas on the communication power supply information graph.
4. A method according to claim 3, wherein said step S21 specifically comprises:
determining monitoring parameters required for monitoring the communication power supply;
Determining corresponding monitoring items and required monitoring equipment according to each monitoring parameter;
determining a target classification item from the monitoring items;
and integrating all target classification items to form the feature classification template.
5. The method according to claim 4, wherein the step S22 specifically includes:
identifying detailed information of each communication power supply from the communication power supply information map;
extracting power supply characteristics from the detailed information of each communication power supply according to the characteristic classification template;
And carrying out similarity analysis on the extracted power supply characteristics, classifying the same or similar power supply characteristics into one type according to a preset similarity recognition standard, and forming a plurality of monitoring classifications.
6. The method according to claim 5, wherein the similarity analysis specifically comprises:
And identifying target item feature data corresponding to each classified target item in the power supply features, matching each target item feature data with a similar range corresponding to the corresponding classified target item, and determining whether each power supply feature is similar.
7. The method according to claim 5, wherein the step S23 specifically includes:
in the communication power supply information graph, the same classification labels are marked for the communication power supplies belonging to the same monitoring classification;
and combining the communication power supplies with the same classification labels to form corresponding monitoring areas, and carrying out corresponding marks in the communication power supply information graph.
8. The method according to claim 1, wherein the step S3 specifically includes:
identifying each communication power supply in the monitoring area, and determining each power supply to be selected according to the power supply characteristics of each communication power supply;
identifying the number of communication power supplies corresponding to each power supply to be selected, and marking the number as an assimilation number;
Analyzing the power supply characteristics of the power supplies to be selected through the established similarity assignment model to obtain a similarity difference XSj between the power supplies to be selected and other power supplies to be selected, wherein j=1, 2, … …, m and m are the number of the power supplies to be selected, and the number of the power supplies to be selected is required to be compared with the number of the priority levels;
According to the priority formula Calculating a corresponding priority value, wherein YW is the priority value, and b1 and b2 are proportionality coefficients; NZ is the assimilation number of the power supply to be selected; nj represents the assimilation number corresponding to other power supplies to be selected;
And selecting the power supply to be selected with the largest priority value as a reference power supply.
9. The method of claim 8, wherein the similarity difference between the power source to be selected and the other power sources to be selected is calculated by:
analyzing the power supply characteristics of the power supply to be selected through the established similarity assignment model, and calculating to obtain the similarity difference between the power supply to be selected and other power supplies to be selected according to the following formula:
Wherein XS is a similarity difference value, f (xi) is a similarity assignment model, xi is target item characteristic data corresponding to the power supply to be selected and other corresponding power supplies to be selected, and is used for performing similarity assignment, i represents corresponding classification target items, i=1, 2, … …, n and n is the number of the classification target items; εi is a random error term; similarity assignment model is an isolated forest algorithm
The similarity assignment model is established by acquiring historical monitoring data of the same monitoring classified communication power supply, identifying historical power supply characteristics corresponding to the historical monitoring data and according to the acquired historical power supply characteristic data.
10. The method according to claim 1, wherein the step S6 further comprises: and setting corresponding matched monitoring standards for each monitoring area, and monitoring and evaluating each communication power supply in the monitoring area according to the set monitoring standards.
11. The method according to claim 10, wherein the monitoring evaluation comprises in particular:
acquiring the current monitoring standard of the communication power supply, and identifying each standard item and each standard item standard in the monitoring standard;
identifying the communication power supply state corresponding to each standard item standard, matching corresponding coordinate points in the simulation curve, and marking as target points;
Identifying a reference power supply corresponding to each monitoring area, acquiring power supply characteristics corresponding to the reference power supply, marking corresponding area points in the simulation curve according to the acquired power supply characteristics, matching according to the relation between the power supply characteristics and the communication power supply states, and determining coordinate points corresponding to the corresponding communication power supply states, wherein the coordinate points are marked as area points;
Identifying the position relationship between each regional point and the target point;
when the regional point is not inferior to the target point, taking the current monitoring standard as the monitoring standard of each communication power supply in the monitoring region;
When the regional point is inferior to the target point, identifying a standard result value and a regional result value which correspond to the standard point and the regional point in the simulation curve respectively, and marking the obtained standard result value and regional result value as Pg and Pz respectively; calculating an adjustment coefficient of the standard term according to an adjustment coefficient formula delta=1+exp [ - (Pg-Pz)/(Pg-1), adjusting the standard of the standard term according to the obtained adjustment coefficient, multiplying the adjustment coefficient to obtain a monitoring standard of the monitoring area, and taking the obtained monitoring standard as a monitoring standard of each communication power supply in the monitoring area.
12. A communication power supply monitoring system, comprising:
The information identification and mapping module is used for identifying each communication power supply to be monitored, acquiring power supply information corresponding to each communication power supply, and building a corresponding communication power supply information map according to the acquired power supply information;
The characteristic analysis and classification module is used for carrying out characteristic analysis and classification on the communication power supply based on a preset rule to form a plurality of monitoring areas with similar power supply characteristics, and marking different types of monitoring areas on the communication power supply information graph;
the reference power supply selection module is used for selecting a communication power supply meeting preset conditions as a reference power supply in each monitoring area;
the data acquisition and correction module acquires the monitoring data of each communication power supply in real time, and marks the acquired monitoring data as direct acquisition data; the method comprises the steps of performing optimized acquisition on a reference power supply to obtain corresponding optimized acquisition data, identifying direct acquisition data corresponding to the optimized acquisition data in the reference power supply, and integrating the direct acquisition data into correction data; correcting the direct acquisition data of each communication power supply in the monitoring area through a preset optimization model corresponding to each monitoring area according to the correction data to obtain accurate acquisition data corresponding to each communication power supply;
And the real-time monitoring and evaluating module is used for displaying the accurate acquisition data in the communication power supply information graph in real time and carrying out real-time monitoring and evaluation based on the accurate acquisition data and the power supply characteristics.
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