CN114222206A - 5G communication tower remote monitoring system and method based on Internet of things platform - Google Patents
5G communication tower remote monitoring system and method based on Internet of things platform Download PDFInfo
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Abstract
The invention provides a 5G communication tower remote monitoring system and method based on an Internet of things platform, and relates to the technical field of tower monitoring. Acquiring geological disaster early warning information through a geological disaster information acquisition module; the communication iron tower screening module screens in a preset communication iron tower library according to the regional information in the geological disaster early warning information; the real-time monitoring data acquisition module acquires monitoring data of the current monitoring period of the affected communication iron tower; the monitoring data comparison module compares the monitoring data of the current monitoring period with the monitoring data of the previous monitoring period; the fault prediction module adopts a preset iron tower fault prediction model to perform fault prediction according to the comparison result; the monitoring period adjusting module adjusts the monitoring period of the affected communication iron tower according to the fault prediction information; the iron tower monitoring module monitors the affected communication iron tower according to the new monitoring period, so that the obtained monitoring data is more accurate, and the iron tower is more timely and accurate to monitor.
Description
Technical Field
The invention relates to the technical field of iron tower monitoring, in particular to a 5G communication iron tower remote monitoring system and method based on an internet of things platform.
Background
With the rapid development of the communication industry, the number of communication towers is also rapidly increased, the 5G communication tower is an important facility for ensuring the normal realization of 5G communication, the monitoring of the tower is very important, and the currently common monitoring means is remote monitoring.
With the development of the internet of things technology, the internet of things technology is applied to the monitoring of a communication iron tower, information affecting the safety of the iron tower is collected through iron tower hardware monitoring equipment, the information comprises iron tower inclination data, meteorological data, image data and the like, the information is collected to a central software processing platform through data transmission to be analyzed and managed, and a basis is provided for the monitoring and data analysis of the iron tower.
For some areas with frequent geological disasters, the communication tower needs more timely data for monitoring so as to prepare in advance, but in the prior art, the communication tower is monitored by adopting a fixed monitoring period, so that the monitoring data is not accurate enough.
Disclosure of Invention
The invention aims to provide a 5G communication tower remote monitoring system and method based on an Internet of things platform, which are used for solving the problem that monitoring data are not accurate enough due to the fact that monitoring is carried out in a fixed monitoring period in the prior art.
In a first aspect, an embodiment of the present application provides a 5G communication tower remote monitoring system based on an internet of things platform, including:
the geological disaster information acquisition module is used for acquiring geological disaster early warning information;
the communication iron tower screening module is used for screening in a preset communication iron tower library according to the regional information in the geological disaster early warning information to obtain an affected communication iron tower;
the real-time monitoring data acquisition module is used for acquiring monitoring data of the current monitoring period of the affected communication iron tower;
the monitoring data extraction module is used for extracting monitoring data of a monitoring period on the affected communication iron tower;
the monitoring data comparison module is used for comparing the monitoring data of the current monitoring period with the monitoring data of the previous monitoring period to obtain a comparison result;
the fault prediction module is used for inputting the monitoring data and the geological disaster early warning information of the current monitoring period into a preset iron tower fault prediction model according to the comparison result to obtain fault prediction information;
the monitoring period adjusting module is used for adjusting the monitoring period of the affected communication iron tower according to the fault prediction information to obtain a new monitoring period;
and the iron tower monitoring module is used for monitoring the affected communication iron tower according to the new monitoring period to obtain new monitoring data.
In the implementation process, geological disaster early warning information is acquired through a geological disaster information acquisition module; the communication iron tower screening module screens in a preset communication iron tower library according to the regional information in the geological disaster early warning information to obtain an affected communication iron tower; the real-time monitoring data acquisition module acquires monitoring data of the current monitoring period of the affected communication iron tower; the monitoring data extraction module extracts monitoring data of a previous monitoring period of the affected communication iron tower; the monitoring data comparison module compares the monitoring data of the current monitoring period with the monitoring data of the previous monitoring period to obtain a comparison result, and whether the iron tower changes or not can be known through the comparison result; the fault prediction module inputs the monitoring data of the current monitoring period and the geological disaster early warning information into a preset iron tower fault prediction model according to the comparison result to obtain fault prediction information, and faults of an iron tower can be predicted in advance when the predicted geological disaster occurs through the iron tower fault prediction model; the monitoring period adjusting module adjusts the monitoring period of the affected communication iron tower according to the fault prediction information to obtain a new monitoring period; the iron tower monitoring module monitors the affected communication iron tower according to the new monitoring period to obtain new monitoring data, the new monitoring period enables the collected data of the iron tower to be more timely, the data acquisition lag is reduced, the obtained monitoring data are more accurate, and therefore the iron tower is monitored more timely and accurately. According to the new monitoring data, corresponding measures or preparations can be made in advance, so that the loss can be reduced when a disaster occurs.
Based on the first aspect, in some embodiments of the invention, the monitoring data comparing module includes:
and the inclined distance comparison unit is used for comparing the inclined distance of the iron tower in the monitoring data of the current monitoring period with the inclined distance of the iron tower in the monitoring data of the previous monitoring period to obtain a comparison result.
Based on the first aspect, in some embodiments of the invention, the fault prediction module comprises:
the judging unit is used for judging whether the comparison result is 0, if so, the threshold judging unit is called, and if not, the process is ended;
a threshold judging unit, configured to judge whether the comparison result is within a preset threshold range, and if so, end the process; if not, calling a prediction model unit;
and the prediction model unit is used for inputting the monitoring data and the geological disaster early warning information of the current monitoring period into a preset iron tower fault prediction model to obtain fault prediction information.
Based on the first aspect, in some embodiments of the invention, the failure prediction module further comprises:
and the alarm unit is used for generating alarm information according to the failure prediction information.
Based on the first aspect, in some embodiments of the invention, the monitoring period adjusting module includes:
the theoretical monitoring period unit is used for searching a corresponding theoretical monitoring period in a preset monitoring period table according to the fault prediction information;
and the period adjusting unit is used for adjusting the monitoring period of the influenced communication iron tower into a theoretical monitoring period.
Based on the first aspect, in some embodiments of the present invention, the iron tower monitoring module includes:
the iron tower monitoring terminal unit is used for monitoring the affected communication iron tower according to the new monitoring period to obtain real-time monitoring data;
the encryption unit is used for encrypting the real-time monitoring data to obtain encrypted monitoring data;
and the remote monitoring unit is used for acquiring the encrypted monitoring data as new monitoring data.
In a second aspect, an embodiment of the present application provides a 5G communication tower remote monitoring method based on an internet of things platform, including the following steps:
acquiring geological disaster early warning information;
screening in a preset communication iron tower library according to the regional information in the geological disaster early warning information to obtain an affected communication iron tower;
acquiring monitoring data of the current monitoring period of the affected communication iron tower;
extracting monitoring data of a previous monitoring period of the affected communication iron tower;
comparing the monitoring data of the current monitoring period with the monitoring data of the previous monitoring period to obtain a comparison result;
inputting the monitoring data and geological disaster early warning information of the current monitoring period into a preset iron tower fault prediction model according to the comparison result to obtain fault prediction information;
adjusting the monitoring period of the affected communication iron tower according to the fault prediction information to obtain a new monitoring period;
and monitoring the affected communication iron tower according to the new monitoring period to obtain new monitoring data.
In the implementation process, firstly, geological disaster early warning information is obtained; then, screening in a preset communication iron tower library according to the area information in the geological disaster early warning information to obtain an affected communication iron tower; then acquiring monitoring data of the current monitoring period of the affected communication iron tower; then extracting monitoring data of the last monitoring period of the affected communication iron tower; then comparing the monitoring data of the current monitoring period with the monitoring data of the previous monitoring period to obtain a comparison result, and knowing whether the iron tower changes or not according to the comparison result; then, according to the comparison result, the monitoring data and the geological disaster early warning information of the current monitoring period are input into a preset iron tower fault prediction model to obtain fault prediction information, and faults of the iron tower when the predicted geological disaster occurs can be predicted in advance through the iron tower fault prediction model; then, adjusting the monitoring period of the affected communication iron tower according to the fault prediction information to obtain a new monitoring period; and finally, monitoring the affected communication iron tower according to the new monitoring period to obtain new monitoring data, wherein the new monitoring period can enable the collected data of the iron tower to be more timely, the data acquisition lag is reduced, the obtained monitoring data is more accurate, and the iron tower is more timely and accurate to monitor. According to the new monitoring data, corresponding measures or preparations can be made in advance, so that the loss can be reduced when a disaster occurs.
Based on the second aspect, in some embodiments of the present invention, the step of comparing the monitoring data of the current monitoring period with the monitoring data of the previous monitoring period to obtain the comparison result includes the following steps:
and comparing the iron tower inclination distance in the monitoring data of the current monitoring period with the iron tower inclination distance in the monitoring data of the previous monitoring period to obtain a comparison result.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a memory for storing one or more programs; a processor. The program or programs, when executed by a processor, implement the method of any of the second aspects as described above.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the method according to any one of the above second aspects.
The embodiment of the invention at least has the following advantages or beneficial effects:
the embodiment of the invention provides a 5G communication tower remote monitoring system and method based on an Internet of things platform, wherein geological disaster early warning information is obtained through a geological disaster information obtaining module; the communication iron tower screening module screens in a preset communication iron tower library according to the regional information in the geological disaster early warning information to obtain an affected communication iron tower; the real-time monitoring data acquisition module acquires monitoring data of the current monitoring period of the affected communication iron tower; the monitoring data extraction module extracts monitoring data of a previous monitoring period of the affected communication iron tower; the monitoring data comparison module compares the monitoring data of the current monitoring period with the monitoring data of the previous monitoring period to obtain a comparison result, and whether the iron tower changes or not can be known through the comparison result; the fault prediction module inputs the monitoring data of the current monitoring period and the geological disaster early warning information into a preset iron tower fault prediction model according to the comparison result to obtain fault prediction information, and faults of an iron tower can be predicted in advance when the predicted geological disaster occurs through the iron tower fault prediction model; the monitoring period adjusting module adjusts the monitoring period of the affected communication iron tower according to the fault prediction information to obtain a new monitoring period; the iron tower monitoring module monitors the affected communication iron tower according to the new monitoring period to obtain new monitoring data, the new monitoring period enables the collected data of the iron tower to be more timely, the data acquisition lag is reduced, the obtained monitoring data are more accurate, and therefore the iron tower is monitored more timely and accurately. According to the new monitoring data, corresponding measures or preparations can be made in advance, so that the loss can be reduced when a disaster occurs.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a structural block diagram of a 5G communication tower remote monitoring system based on an internet of things platform according to an embodiment of the present invention;
fig. 2 is a flowchart of a 5G communication tower remote monitoring method based on an internet of things platform according to an embodiment of the present invention;
fig. 3 is a block diagram of an electronic device according to an embodiment of the present invention.
Icon: 110-a geological disaster information acquisition module; 120-a communication tower screening module; 130-a real-time monitoring data acquisition module; 140-a monitoring data extraction module; 150-monitoring data comparison module; 151-slant distance comparing unit; 160-failure prediction module; 161-a judging unit; 162-threshold judging unit; 163-a prediction model unit; 164-an alarm unit; 170-monitoring period adjustment module; 171-theoretical monitoring cycle unit; 172-period adjustment unit; 180-iron tower monitoring module; 181-iron tower monitoring terminal unit; 182-an encryption unit; 183-remote monitoring unit; 101-a memory; 102-a processor; 103-communication interface.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Examples
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments described below and the individual features of the embodiments can be combined with one another without conflict.
Referring to fig. 1, fig. 1 is a structural block diagram of a 5G communication tower remote monitoring system based on an internet of things platform according to an embodiment of the present invention. This 5G communication tower remote monitering system based on thing networking platform includes:
a geological disaster information obtaining module 110, configured to obtain geological disaster early warning information; the geological disaster early warning information comprises information of areas where geological disasters are expected to occur, information of disaster types, information of expected occurrence time and the like. The acquisition may be acquired by a geological disaster early warning system, or may be input by a user. The geological disaster early warning system is mainly used for geological disaster prediction, belongs to the prior art and is not repeated herein.
The communication iron tower screening module 120 is configured to screen in a preset communication iron tower library according to the regional information in the geological disaster early warning information to obtain an affected communication iron tower; the preset communication tower library includes a plurality of 5G communication tower libraries, which may be classified according to the location information of the 5G communication tower, such as: the 5G communication towers in the area A comprise a communication tower A1 and a communication tower A2. The screening process may be performed by searching in a communication tower library according to the region information to find communication towers in corresponding regions, and using the communication towers as affected communication towers.
A real-time monitoring data obtaining module 130, configured to obtain monitoring data of a current monitoring period of an affected communication iron tower; the monitoring data of the current monitoring period refers to the latest acquired monitoring data. The obtaining may be obtained by a remote monitoring system. The monitoring period is a preset time period and represents that monitoring data is acquired at intervals of the time period. Such as: if the monitoring period is 1 hour, the monitoring data is acquired at intervals of 1 hour.
The monitoring data extraction module 140 is configured to extract monitoring data of a previous monitoring period of the affected communication iron tower; after the monitoring data of each monitoring period is obtained, data storage is carried out, so that fault prediction or data checking can be conveniently carried out at the later stage. During the extraction, the latest monitoring data in the historical monitoring data can be searched out, and the latest monitoring data can also be searched out according to the time point of the previous monitoring period.
The monitoring data comparison module 150 is configured to compare the monitoring data of the current monitoring period with the monitoring data of the previous monitoring period to obtain a comparison result; the comparison of the monitoring data mainly refers to the data of the iron tower, including the inclination angle of the iron tower, the inclination distance of the iron tower, and the like, and whether the iron tower is changed or not can be known by comparing the data with the monitoring data of the previous monitoring period, and the obtained comparison result refers to the difference value of the two monitoring data. Considering from the perspective of conveniently obtaining data of the iron tower, the tilt distance of the iron tower may be selected for comparison, specifically, the tilt distance may be compared by the tilt distance comparison unit 151:
and the inclined distance comparison unit 151 is configured to compare the iron tower inclined distance in the monitoring data of the current monitoring period with the iron tower inclined distance in the monitoring data of the previous monitoring period, so as to obtain a comparison result. The iron tower inclination distance can be obtained by adopting the prior art, and is not described herein again.
The fault prediction module 160 is configured to input the monitoring data of the current monitoring period and the geological disaster early warning information into a preset iron tower fault prediction model according to the comparison result to obtain fault prediction information; the preset iron tower fault prediction model is obtained by training through a neural network model according to iron tower monitoring data, geological disaster early warning information and corresponding fault types. In the training process, by acquiring a plurality of sample information, the sample information can be a plurality of historical data, including the inclined distance of the iron tower, the geological disaster early warning type of the area where the iron tower is located, and the corresponding fault type. The above-mentioned training neural network model belongs to the prior art, and is not described herein again. The failure prediction module 160 further includes the following units:
a determining unit 161, configured to determine whether the comparison result is 0, if so, invoke a threshold determining unit 162, and if not, end; the above comparison result may refer to a difference between the tilt distances of the two iron towers, and the tilt distances of the iron towers in the two monitoring periods are the same at that time, the comparison result is 0, that is, the tilt distances of the two iron towers are the same and do not change, and if the tilt distances of the iron towers in the two monitoring periods are different, the comparison result is not 0, that is, the tilt distances of the iron towers change.
A threshold value judging unit 162, configured to judge whether the comparison result is within a preset threshold value range, and if yes, end the process; if not, then the prediction model unit 163 is invoked; on one hand, because the obtained monitoring data has errors, the monitoring data can be considered to be unchanged; on the other hand, if the difference between the monitoring data of the two monitoring periods is within a certain range, the change in the range does not cause a fault, and it can also be considered that no change occurs, the preset threshold is used to determine the error range, and the preset threshold may be a value range set according to experience, for example: the comparison result is 0.2, and the preset threshold value is 0.1-0.3, which is considered to be within the preset threshold value range.
And the prediction model unit 163 is configured to input the monitoring data of the current monitoring period and the geological disaster early warning information into a preset iron tower fault prediction model to obtain fault prediction information. And when the comparison result exceeds a preset threshold range, taking the monitoring data and the geological disaster early warning information of the current monitoring period as the input of a tower fault prediction model to perform fault prediction, wherein the performed fault prediction refers to the fault of the affected tower when the predicted geological disaster occurs. The failure prediction information includes failure types, such as: collapse of the iron tower, deflection of the iron tower, damage of the iron tower and the like.
The monitoring period adjusting module 170 is configured to adjust a monitoring period of the affected communication iron tower according to the failure prediction information to obtain a new monitoring period; the adjustment is to modify the current monitoring period so as to obtain the latest and most accurate monitoring data. The above adjustment process can be completed by the following units:
a theoretical monitoring period unit 171, configured to search a corresponding theoretical monitoring period in a preset monitoring period table according to the failure prediction information; the preset monitoring period table may be a period table obtained by sorting according to actual conditions, and includes failure prediction information and corresponding monitoring periods, for example: the failure prediction information is: and (3) the iron tower collapses, the corresponding monitoring period is 1 minute, namely the iron tower collapses when the failure information is predicted, and the detection period is recommended to be 1 minute. The theoretical monitoring period is the monitoring period in the monitoring period table.
And the period adjusting unit 172 is configured to adjust the monitoring period of the affected communication tower to a theoretical monitoring period. The adjustment is to modify the monitoring period to the theoretical monitoring period.
And the iron tower monitoring module 180 is used for monitoring the affected communication iron tower according to the new monitoring period to obtain new monitoring data. The monitoring is to remotely acquire monitoring information based on an internet of things platform, and can comprise an iron tower monitoring terminal and a remote monitoring platform, wherein the iron tower monitoring terminal is used for acquiring data of an iron tower and sending the data to the remote monitoring platform; the remote monitoring platform is used for acquiring data acquired by the iron tower monitoring terminal and analyzing and monitoring the data. In order to ensure the security of data and avoid the monitored data from being tampered, the monitoring process can be completed by the unit:
the iron tower monitoring terminal unit 181 is configured to monitor the affected communication iron tower according to the new monitoring period to obtain real-time monitoring data; the real-time monitoring data may be real-time data collected by various sensors according to a new monitoring period.
An encryption unit 182, configured to encrypt the real-time monitoring data to obtain encrypted monitoring data; the encryption can be performed by adopting an RSA encryption algorithm, an exclusive-or encryption algorithm and the like, wherein the exclusive-or encryption algorithm is the simplest and is relatively consistent with a use scene.
And a remote monitoring unit 183 for acquiring the encrypted monitoring data as new monitoring data. The new monitoring data are obtained according to the new monitoring period, so that the obtained monitoring data are more accurate, and the iron tower is monitored more timely. According to the new monitoring data, corresponding measures or preparations can be made in advance, so that the loss can be reduced when a disaster occurs.
In the implementation process, geological disaster early warning information is acquired through the geological disaster information acquisition module 110; the communication iron tower screening module 120 screens the area information in the geological disaster early warning information in a preset communication iron tower library to obtain an affected communication iron tower; the real-time monitoring data obtaining module 130 obtains the monitoring data of the current monitoring period of the affected communication iron tower; the monitoring data extraction module 140 extracts the monitoring data of the affected communication tower in the last monitoring period; the monitoring data comparison module 150 compares the monitoring data of the current monitoring period with the monitoring data of the previous monitoring period to obtain a comparison result, and can know whether the iron tower changes or not according to the comparison result; the fault prediction module 160 inputs the monitoring data of the current monitoring period and the geological disaster early warning information into a preset iron tower fault prediction model according to the comparison result to obtain fault prediction information, and faults of the iron tower when the predicted geological disaster occurs can be predicted in advance through the iron tower fault prediction model; the monitoring period adjusting module 170 adjusts the monitoring period of the affected communication tower according to the failure prediction information to obtain a new monitoring period; the iron tower monitoring module 180 monitors the affected communication iron tower according to the new monitoring period to obtain new monitoring data, the new monitoring period enables the collected data of the iron tower to be more timely, the data acquisition lag is reduced, the obtained monitoring data are more accurate, and therefore the iron tower is monitored more timely and accurately. According to the new monitoring data, corresponding measures or preparations can be made in advance, so that the loss can be reduced when a disaster occurs.
The failure prediction module 160 further includes:
and an alarm unit 164 for generating alarm information according to the failure prediction information. The alarm information comprises character information, voice information and the like. By setting the alarm unit 164, the staff can be reminded of the fault in time.
Based on the same inventive concept, the invention further provides a remote monitoring method for the 5G communication tower based on the platform of the internet of things, please refer to fig. 2, and fig. 2 is a flowchart of the remote monitoring method for the 5G communication tower based on the platform of the internet of things provided by the embodiment of the invention. The 5G communication tower remote monitoring method based on the Internet of things platform comprises the following steps:
step S110: acquiring geological disaster early warning information;
step S120: screening in a preset communication iron tower library according to the regional information in the geological disaster early warning information to obtain an affected communication iron tower;
step S130: acquiring monitoring data of the current monitoring period of the affected communication iron tower;
step S140: extracting monitoring data of a previous monitoring period of the affected communication iron tower;
step S150: comparing the monitoring data of the current monitoring period with the monitoring data of the previous monitoring period to obtain a comparison result;
step S160: inputting the monitoring data and geological disaster early warning information of the current monitoring period into a preset iron tower fault prediction model according to the comparison result to obtain fault prediction information;
step S170: adjusting the monitoring period of the affected communication iron tower according to the fault prediction information to obtain a new monitoring period;
step S180: and monitoring the affected communication iron tower according to the new monitoring period to obtain new monitoring data.
In the implementation process, firstly, geological disaster early warning information is obtained; then, screening in a preset communication iron tower library according to the area information in the geological disaster early warning information to obtain an affected communication iron tower; then acquiring monitoring data of the current monitoring period of the affected communication iron tower; then extracting monitoring data of the last monitoring period of the affected communication iron tower; then comparing the monitoring data of the current monitoring period with the monitoring data of the previous monitoring period to obtain a comparison result, and knowing whether the iron tower changes or not according to the comparison result; then, according to the comparison result, the monitoring data and the geological disaster early warning information of the current monitoring period are input into a preset iron tower fault prediction model to obtain fault prediction information, and faults of the iron tower when the predicted geological disaster occurs can be predicted in advance through the iron tower fault prediction model; then, adjusting the monitoring period of the affected communication iron tower according to the fault prediction information to obtain a new monitoring period; and finally, monitoring the affected communication iron tower according to the new monitoring period to obtain new monitoring data, wherein the new monitoring period can enable the collected data of the iron tower to be more timely, the data acquisition lag is reduced, the obtained monitoring data is more accurate, and the iron tower is more timely and accurate to monitor. According to the new monitoring data, corresponding measures or preparations can be made in advance, so that the loss can be reduced when a disaster occurs.
The step of comparing the monitoring data of the current monitoring period with the monitoring data of the previous monitoring period to obtain a comparison result comprises the following steps: and comparing the iron tower inclination distance in the monitoring data of the current monitoring period with the iron tower inclination distance in the monitoring data of the previous monitoring period to obtain a comparison result.
The method comprises the following steps of inputting monitoring data and geological disaster early warning information of a current monitoring period into a preset iron tower fault prediction model according to a comparison result, and obtaining fault prediction information, wherein the step comprises the following steps:
step one, judging whether a comparison result is 0, if so, executing a step two; if not, ending;
secondly, judging whether the comparison result is within a preset threshold range, if so, ending; if not, executing the third step;
and thirdly, inputting the monitoring data and geological disaster early warning information of the current monitoring period into a preset iron tower fault prediction model to obtain fault prediction information.
The method also comprises the step of generating alarm information according to the failure prediction information.
The method comprises the following steps of adjusting the monitoring period of the affected communication tower according to the fault prediction information to obtain a new monitoring period, wherein the step of adjusting the monitoring period of the affected communication tower according to the fault prediction information comprises the following steps:
firstly, searching a corresponding theoretical monitoring period in a preset monitoring period table according to fault prediction information;
and then, adjusting the monitoring period of the affected communication iron tower to be a theoretical monitoring period.
The method comprises the following steps of monitoring the affected communication iron tower according to a new monitoring period to obtain new monitoring data, wherein the steps comprise the following steps:
firstly, monitoring the affected communication iron tower according to a new monitoring period to obtain real-time monitoring data;
then, encrypting the real-time monitoring data to obtain encrypted monitoring data;
and finally, acquiring the encrypted monitoring data as new monitoring data.
Referring to fig. 3, fig. 3 is a schematic structural block diagram of an electronic device according to an embodiment of the present disclosure. The electronic device comprises a memory 101, a processor 102 and a communication interface 103, wherein the memory 101, the processor 102 and the communication interface 103 are electrically connected to each other directly or indirectly to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 101 may be configured to store software programs and modules, such as program instructions/modules corresponding to a 5G communication tower remote monitoring system based on an internet of things platform provided in an embodiment of the present application, and the processor 102 executes various functional applications and data processing by executing the software programs and modules stored in the memory 101. The communication interface 103 may be used for communicating signaling or data with other node devices.
The Memory 101 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like.
The processor 102 may be an integrated circuit chip having signal processing capabilities. The Processor 102 may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.
It will be appreciated that the configuration shown in fig. 3 is merely illustrative and that the electronic device may include more or fewer components than shown in fig. 3 or have a different configuration than shown in fig. 3. The components shown in fig. 3 may be implemented in hardware, software, or a combination thereof.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (10)
1. The utility model provides a 5G communication tower remote monitering system based on thing networking platform which characterized in that includes:
the geological disaster information acquisition module is used for acquiring geological disaster early warning information;
the communication iron tower screening module is used for screening in a preset communication iron tower library according to the regional information in the geological disaster early warning information to obtain an affected communication iron tower;
the real-time monitoring data acquisition module is used for acquiring monitoring data of the current monitoring period of the affected communication iron tower;
the monitoring data extraction module is used for extracting monitoring data of a monitoring period on the affected communication iron tower;
the monitoring data comparison module is used for comparing the monitoring data of the current monitoring period with the monitoring data of the previous monitoring period to obtain a comparison result;
the fault prediction module is used for inputting the monitoring data and the geological disaster early warning information of the current monitoring period into a preset iron tower fault prediction model according to the comparison result to obtain fault prediction information;
the monitoring period adjusting module is used for adjusting the monitoring period of the affected communication iron tower according to the fault prediction information to obtain a new monitoring period;
and the iron tower monitoring module is used for monitoring the affected communication iron tower according to the new monitoring period to obtain new monitoring data.
2. The 5G communication tower remote monitoring system based on the platform of the Internet of things according to claim 1, wherein the monitoring data comparison module comprises:
and the inclined distance comparison unit is used for comparing the inclined distance of the iron tower in the monitoring data of the current monitoring period with the inclined distance of the iron tower in the monitoring data of the previous monitoring period to obtain a comparison result.
3. The Internet of things platform-based 5G communication tower remote monitoring system according to claim 1, wherein the fault prediction module comprises:
the judging unit is used for judging whether the comparison result is 0, if so, the threshold judging unit is called, and if not, the process is ended;
a threshold judging unit, configured to judge whether the comparison result is within a preset threshold range, and if so, end the process; if not, calling a prediction model unit;
and the prediction model unit is used for inputting the monitoring data and the geological disaster early warning information of the current monitoring period into a preset iron tower fault prediction model to obtain fault prediction information.
4. The Internet of things platform-based 5G communication tower remote monitoring system according to claim 3, wherein the fault prediction module further comprises:
and the alarm unit is used for generating alarm information according to the failure prediction information.
5. The Internet of things platform-based 5G communication tower remote monitoring system according to claim 1, wherein the monitoring period adjusting module comprises:
the theoretical monitoring period unit is used for searching a corresponding theoretical monitoring period in a preset monitoring period table according to the fault prediction information;
and the period adjusting unit is used for adjusting the monitoring period of the influenced communication iron tower into a theoretical monitoring period.
6. The 5G communication tower remote monitoring system based on the platform of the Internet of things according to claim 1, wherein the tower monitoring module comprises:
the iron tower monitoring terminal unit is used for monitoring the affected communication iron tower according to the new monitoring period to obtain real-time monitoring data;
the encryption unit is used for encrypting the real-time monitoring data to obtain encrypted monitoring data;
and the remote monitoring unit is used for acquiring the encrypted monitoring data as new monitoring data.
7. A5G communication tower remote monitoring method based on an Internet of things platform is characterized by comprising the following steps:
acquiring geological disaster early warning information;
screening in a preset communication iron tower library according to the regional information in the geological disaster early warning information to obtain an affected communication iron tower;
acquiring monitoring data of the current monitoring period of the affected communication iron tower;
extracting monitoring data of a previous monitoring period of the affected communication iron tower;
comparing the monitoring data of the current monitoring period with the monitoring data of the previous monitoring period to obtain a comparison result;
inputting the monitoring data and geological disaster early warning information of the current monitoring period into a preset iron tower fault prediction model according to the comparison result to obtain fault prediction information;
adjusting the monitoring period of the affected communication iron tower according to the fault prediction information to obtain a new monitoring period;
and monitoring the affected communication iron tower according to the new monitoring period to obtain new monitoring data.
8. The Internet of things platform-based 5G communication tower remote monitoring method according to claim 7, wherein the step of comparing the monitoring data of the current monitoring period with the monitoring data of the previous monitoring period to obtain a comparison result comprises the following steps:
and comparing the iron tower inclination distance in the monitoring data of the current monitoring period with the iron tower inclination distance in the monitoring data of the previous monitoring period to obtain a comparison result.
9. An electronic device, comprising:
a memory for storing one or more programs;
a processor;
the one or more programs, when executed by the processor, implement the method of any of claims 7-8.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 7-8.
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