CN117523795B - Weak current bridge circuit layout abnormality early warning method and system based on Internet of things - Google Patents
Weak current bridge circuit layout abnormality early warning method and system based on Internet of things Download PDFInfo
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Abstract
The invention discloses a weak bridge circuit layout abnormality early warning method and system based on the Internet of things, and relates to the technical field of data processing, wherein the method comprises the following steps: connecting a bridge circuit layout system, and determining a circuit layout visual model; acquiring a plurality of layout partitions; identifying a connector set for a line connection; dividing a connector set according to a plurality of layout partitions, determining connectors to which each layout partition belongs, obtaining a plurality of types of connectors, and identifying and distinguishing the plurality of types of connectors on a line layout visual model by adopting display identification information; screening a characteristic line; and testing, namely acquiring a test signal set on the characteristic line, and generating a first early warning signal according to the transmission quality of the test signal set. The method solves the technical problems of low reliability and inaccurate early warning of weak bridge circuit layout abnormality identification in the prior art, and achieves the technical effects of improving the accuracy of circuit layout abnormality early warning and improving the circuit transmission quality.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a weak bridge circuit layout abnormality early warning method and system based on the Internet of things.
Background
In the weak current circuit wiring process, because of being limited by places, the factors such as scaffold, ladder use difficulty influence, and the circuit layout has the potential safety hazard. When the cable is laid, the cable needs to be connected, and the quality of the cable connection has a very important influence on the reliability of line transmission. At present, pulse testing is carried out on a plurality of sections of lines of a weak bridge line, and then the connection quality of the lines is determined according to test analysis results. However, when analyzing the test data, a unified analysis method is often adopted for the data, and no distinguishing key point is adopted, so that the abnormal early warning has time delay and the abnormal identification is inaccurate. Therefore, the technical problems of low reliability and inaccurate early warning of abnormal layout of the weak bridge circuit exist in the prior art.
Disclosure of Invention
The application provides a weak current bridge circuit layout abnormality early warning method and system based on the Internet of things, which are used for solving the technical problems of low reliability and inaccurate early warning of weak current bridge circuit layout abnormality identification in the prior art.
In a first aspect of the present application, a weak bridge circuit layout abnormality early warning method based on the internet of things is provided, the method includes:
connecting a bridge circuit layout system, and determining a circuit layout visual model;
partitioning the line layout visual model based on different network environments to obtain a plurality of layout partitions, wherein each layout partition corresponds to one network environment;
identifying a connector set for line connection with the line layout visualization model;
dividing the connector set according to the plurality of layout partitions, determining connectors of each layout partition, taking the connector of each layout partition as a category to obtain a plurality of types of connectors, and identifying and distinguishing the plurality of types of connectors on the line layout visual model by adopting display identification information, wherein the display identification information of each type of connectors is different;
screening a characteristic line, wherein the characteristic line is a line of which two connectors passing continuously are different types of connectors;
and testing the line layout visual model, obtaining a test signal set on the characteristic line, and generating a first early warning signal according to the transmission quality of the test signal set.
In a second aspect of the present application, a weak bridge circuit layout abnormality early warning system based on the internet of things is provided, the system includes:
the visual model determining module is used for connecting the bridge circuit layout system and determining a circuit layout visual model;
the layout partition obtaining module is used for partitioning the line layout visual model based on different network environments to obtain a plurality of layout partitions, wherein each layout partition corresponds to one network environment;
the connector set identification module is used for identifying a connector set for line connection by using the line layout visual model;
the identification distinguishing module is used for dividing the connector set according to the plurality of layout partitions, determining the connector to which each layout partition belongs to obtain a plurality of types of connectors, and carrying out identification distinguishing on the plurality of types of connectors on the line layout visual model by adopting display identification information, wherein the display identification information of each type of connectors is different;
the characteristic line screening module is used for screening characteristic lines, wherein the characteristic lines are lines of which two connectors continuously pass through are different types of connectors;
the first early warning signal generation module is used for testing the line layout visual model, acquiring a test signal set on the characteristic line and generating a first early warning signal according to the transmission quality of the test signal set.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the method comprises the steps of determining a line layout visual model through a connection bridge line layout system; partitioning a line layout visual model based on different network environments to obtain a plurality of layout partitions, wherein each layout partition corresponds to one network environment, then using the line layout visual model to identify a connector set for line connection, further dividing the connector set according to the plurality of layout partitions, determining connectors to which each layout partition belongs to obtain a plurality of types of connectors, identifying and distinguishing the plurality of types of connectors on the line layout visual model by adopting display identification information, wherein the display identification information of each type of connectors is different, screening characteristic lines, wherein the characteristic lines are lines of two connectors which continuously pass through and are different types of connectors, then testing the line layout visual model to obtain a test signal set on the characteristic lines, and generating a first early warning signal according to the transmission quality of the test signal set. The technical effects of ensuring the circuit layout quality and improving the early warning reliability of abnormal circuit layout are achieved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a weak bridge circuit layout abnormality early warning method based on the internet of things according to an embodiment of the present application;
fig. 2 is a schematic flow chart of acquiring transmission quality of a test signal set in a weak bridge circuit layout abnormality early warning method based on the internet of things according to an embodiment of the present application;
fig. 3 is a schematic flow chart of configuring network environment coverage ranges of a first connector and a second connector in a weak bridge circuit layout abnormality early warning method based on the internet of things according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a weak bridge circuit layout abnormality early warning system based on the internet of things according to an embodiment of the present application.
Reference numerals illustrate: the system comprises a visual model determining module 11, a layout partition obtaining module 12, a connector set identification module 13, an identification distinguishing module 14, a characteristic line screening module 15 and a first early warning signal generating module 16.
Detailed Description
The application provides a weak bridge circuit layout abnormality early warning method and system based on the Internet of things, which are used for solving the technical problems of low reliability and inaccurate early warning of weak bridge circuit layout abnormality identification in the prior art.
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. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present application based on the embodiments herein.
It should be noted that the terms "comprises" and "comprising," along with any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus, but may include other steps or modules not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
As shown in fig. 1, the application provides a weak bridge circuit layout abnormality early warning method based on the internet of things, wherein the method comprises the following steps:
step S100: connecting a bridge circuit layout system, and determining a circuit layout visual model;
in one possible embodiment, the bridge circuit layout system is a system for designing related data such as the layout number and layout position of weak-current bridge circuits in any area. The line layout position, the layout interface, the layout length and other layout data in the bridge line layout system are extracted, three-dimensional modeling is carried out according to the extracted data by using modeling software such as 3DMAX, MAYA and the like, so that the modeling target of the weak-current bridge line layout system is realized, and the line layout visual model is generated. The line layout visual model is a model which can visually display the layout condition of the weak-current bridge line in the area after the layout condition of the bridge line in the area is visually modeled. And simulating the line transmission condition in the area by using the line layout visual model, and providing reliable analysis data for the subsequent abnormal early warning of line layout. The intelligent degree of the abnormal early warning of the line layout is improved, the fitting degree of the early warning and the actual situation is improved, and the technical effect of false alarm is reduced.
Step S200: partitioning the line layout visual model based on different network environments to obtain a plurality of layout partitions, wherein each layout partition corresponds to one network environment;
in the embodiment of the application, the network in the area is subjected to route path data acquisition, different network segments in the area are acquired according to the route path, and a plurality of different network environments are acquired according to the network segments. And then partitioning the weak bridge circuit in the circuit layout visual model based on different network environments, namely partitioning the circuit laid in the circuit layout visual model according to the boundary of the network environments (the outermost route path in the same network environment), and dividing the circuit belonging to the same network environment into one area, thereby generating a plurality of layout partitions. Wherein each layout partition corresponds to a network environment. The line layout visual model is partitioned according to different network environments, so that the line layout visual model is more fit with actual line running conditions, and a mat is laid for the subsequent differential line signal detection.
Step S300: identifying a connector set for line connection with the line layout visualization model;
in one embodiment, the connector is used as an index to search the line layout visual model, so that positions of all connectors in the line layout visual model are obtained, and then connectors in a plurality of positions are identified by using connector identifiers, so that the aim of identifying the line connectors is fulfilled. Preferably, the location is indicated as having connectors by connector identification for each connector in the line routing visualization model. The connector set is used for connecting two adjacent lines, so that signal transmission is completed.
Preferably, after the connector set is identified, the connection position in the weak bridge line is determined, so that an analysis target is provided for analyzing the connection quality of each joint after the line is laid and the influence degree of the transmission quality of the line. The technical effect of providing basic data for early warning analysis of abnormal line layout is achieved.
Step S400: dividing the connector set according to the plurality of layout partitions, determining connectors of each layout partition, taking the connector of each layout partition as a category to obtain a plurality of types of connectors, and identifying and distinguishing the plurality of types of connectors on the line layout visual model by adopting display identification information, wherein the display identification information of each type of connectors is different;
in one possible embodiment, the connector set is divided according to the area of each layout partition in the plurality of layout partitions, that is, the plurality of connectors in the line with layout positions in the area are divided into one type according to the area defined by each layout partition, so that the connector of each layout partition is determined to belong to, and a plurality of types of connectors are obtained. Wherein, each type of connector corresponds to a layout partition, and each type of connector corresponds to a network environment. Furthermore, the connectors of the same genus are identified by the same display mark, such as the same mark color, while the connectors of different genus are identified by different display marks, such as different mark colors. The display identification information is used for identifying the distribution partition condition of the connector. When the transmission signal passes through the connector and is transmitted across the network environment, the risk of signal transmission quality is high. Therefore, by identifying and distinguishing the multiple types of connectors, a basis is provided for subsequent screening of high-risk lines.
Step S500: screening a characteristic line, wherein the characteristic line is a line of which two connectors passing continuously are different types of connectors;
in one embodiment, all lines in the line layout visual model are analyzed, and the lines with two connectors passing continuously as different types of connectors are taken as characteristic lines. The characteristic line is a line which continuously passes through at least two different network environments, and the risk of signal delay, interruption and the like of the characteristic line is higher due to the fact that the characteristic line passes through different network environments. The characteristic lines are screened, so that the number of lines to be analyzed can be effectively optimized, the analysis data size is reduced, and the technical effect of improving the abnormal line layout early warning efficiency is achieved.
Step S600: and testing the line layout visual model, obtaining a test signal set on the characteristic line, and generating a first early warning signal according to the transmission quality of the test signal set.
Further, as shown in fig. 2, acquiring the test signal set on the characteristic line includes:
the test signal set comprises the recording time of a signal passing through a first connector, the recording time of a signal passing through a second connector and the line transmission length of the first connector and the second connector, wherein the first connector is the first connector passing through the characteristic line in sequence, and the second connector is the second connector passing through the characteristic line in sequence continuously;
further, the transmission quality of the test signal set is that a first delay index is obtained by carrying out delay identification on the test signal set; and taking the first delay index as the transmission quality of the test signal set.
Further, obtaining the first delay indicator by performing delay identification on the test signal set includes:
based on the line transmission lengths of the first connector and the second connector as samples, outputting a sample signal set obtained by signal testing in the same network environment, wherein the sample signal set comprises the recording time of the signal passing through the first connector and the recording time of the signal passing through the second connector;
and carrying out delay identification on the test signal set according to the sample signal set to obtain the first delay index.
Further, delay identifying the set of test signals from the set of sample signals comprises:
aligning the recording time of the sample signal set and the test signal set passing through a first connector, and obtaining the recording time difference of the sample signal set and the test signal set passing through a second connector;
and taking the recorded time difference as the first delay index, and if the first delay index is larger than a preset first delay index threshold value, generating a first early warning signal, wherein the first early warning signal is used for reminding abnormal delay of the signal across the network.
In the embodiment of the application, the line layout visual model is tested, so that the line transmission operation condition of the bridge line layout system is tested and analyzed. Preferably, the transmission line pulse test is performed on the line layout visual model, and pulse signal data acquisition is performed on the characteristic line, so that the test signal set is obtained. The test signal set reflects the transmission quality degree of the characteristic line, and then the first early warning signal is generated according to the transmission quality. The first early warning signal is used for early warning the abnormal delay of signals crossing the network of the lines laid by the bridge line laying system. The aim of reliably early warning the cable laying quality is fulfilled, and the technical effect of improving the accuracy of abnormal early warning is achieved.
In one embodiment, the recording time of the signal on the characteristic line passing through the first connector and the recording time of the signal on the characteristic line passing through the second connector are collected, and the line transmission length between the first connector and the second connector is obtained, so that the test signal set is generated. The first connector is a first connector passing through the characteristic line in sequence, and the second connector is a second connector passing through the characteristic line continuously in sequence. Further, delay identification is performed on the test signals in the test signal set, thereby obtaining a first delay index. The first delay index is used for describing the delay degree of the signal when the signal is transmitted across the network. The method comprises the steps of analyzing the recording time of a signal in a test signal set passing through a first connector, the recording time of a signal passing through a second connector and the line transmission length of the first connector and the second connector, determining the signal delay condition of signal transmission at the connector, and then outputting the first delay index as the transmission quality of the test signal set. The technical effect of reliably analyzing the transmission quality of the line in terms of the delay degree across the network is achieved.
In one embodiment, the line transmission lengths of the first connector and the second connector are used as samples, that is, the matching targets in the process of collecting the sample signal set are used, and when signal testing is performed in the same network environment, test signal data with the same line transmission length are collected to obtain the sample signal set. The sample signal set is obtained by summarizing the recording time of pulse signals passing through the first connector and the second connector when the lines normally transmit under the same network environment, reflects the signal transmission condition under the same line transmission length, and provides a basis for subsequent abnormal identification. The sample signal set includes a recorded time of the signal passing through the first connector and a recorded time of the signal passing through the second connector. The sample signal set reflects the transmission time of the signal passing through the first connector and the second connector under the condition of normal operation of the line, so that the signal set can be used as standard data to be compared with transmission data in the test signal set, and the technical effect of improving the accuracy of abnormal identification is achieved.
Preferably, the recording times of the sample signal set and the test signal set through the first connector are aligned, that is, the recording time difference of the sample signal set and the test signal set through the first connector is calculated as the first alignment time difference. Wherein the first alignment time difference reflects a recorded time difference of the sample signal set and the test signal set passing through the first connector. Further, a recording time of the sample signal set and the test signal set passing through the second connector is obtained, a difference between the two is calculated, and the first alignment time difference is subtracted, so that the recording time difference is obtained. Therefore, errors existing in the subsequently calculated recording time difference due to the fact that the recording time of the sample signal set and the recording time of the test signal set passing through the first connector are inconsistent are eliminated, and the technical effect of improving the reliability and accuracy of delay identification is achieved.
In one embodiment, the recording time difference is used as a first delay indicator, when the first delay indicator is greater than a preset first delay indicator threshold, it indicates that the signal transmission condition reflected by the test signal set cannot meet the requirement, so that early warning reminding needs to be performed on staff, and the first early warning signal is generated. Wherein the preset first delay index threshold is a maximum allowable delay time set by a person skilled in the art. The first early warning signal is used for reminding abnormal delay of the signal across the network.
Further, testing the line layout visualization model includes:
and when the transmission signal of the first connector is received and the transmission signal of the second connector is not received, generating a second early warning signal, wherein the second early warning signal is used for reminding that the connection of the second connector is abnormally interrupted.
In one embodiment, when the transmission signal of the first connector is received and the transmission signal of the second connector is not received, the circuit at the first connector is indicated to work normally, and the circuit connection at the second connector is abnormal, so that the second connector cannot receive the transmission signal and cannot work normally, and a second early warning signal is generated to remind the staff of the abnormal circuit. The second early warning signal is used for reminding that abnormal interruption exists in connection of the second connector.
Further, after generating the first early warning signal according to the transmission quality of the test signal set, the embodiment of the application further includes:
the first early warning signal is sent to an Internet of things configuration module by the bridge circuit layout system, wherein the Internet of things configuration module comprises a database of overlapping area-transmission quality;
and analyzing a network overlapping area corresponding to the first early warning signal to obtain a first configuration parameter, and configuring the network environment coverage range of the first connector and the second connector based on the first configuration parameter by the Internet of things configuration module.
Further, as shown in fig. 3, configuring, by the configuration module of the internet of things, the network environment coverage of the first connector and the second connector based on the first configuration parameter includes:
acquiring a first coverage area of a first network corresponding to the first connector;
acquiring a second coverage area of a second network corresponding to the second connector;
comparing the number of the connectors of the first coverage area with the number of the connectors of the second coverage area to obtain a first configuration object, wherein the first configuration object is a first network or a second network;
and expanding the coverage radius of the first network or the second network according to the first configuration parameter by the Internet of things configuration module.
In the embodiment of the application, the first early warning signal is sent to the internet of things configuration module through a bridge circuit layout system. The Internet of things configuration module is a functional module for configuring network environment coverage corresponding to a connector for bridge circuit layout and comprises a database of overlapping area-transmission quality. The database of overlapping area-transmission quality is a database stored by the person skilled in the art according to the mapping relation between the size of the network overlapping area set based on the historical transmission condition and the transmission quality of the line, and the parameter condition of the network configuration is determined.
Preferably, after the first early warning signal is obtained, when the first early warning signal is determined to be transmitted across the network environments in the two network environments, a region where the coverage areas of the two networks overlap, that is, the network overlapping region, exists. And then, searching a database of the overlapping area-transmission quality in the Internet of things configuration module by taking the network overlapping area as an index to obtain a first configuration parameter. The first configuration parameters are parameters for adjusting network coverage ranges of two network environments in the overlapping area, and include parameters such as uplink and downlink conversion time, transmitting power, frequency and the like. And configuring the network environment coverage ranges of the first connector and the second connector according to the first configuration parameters, so that the technical effect of improving the transmission quality of the circuit layout is achieved.
In one embodiment, by acquiring the first network corresponding to the first connector, a coverage range that can be covered by a network signal of the first network, that is, the first coverage area, is determined according to a configuration situation of the first network. And similarly, acquiring a second network corresponding to the second connector, and determining the coverage range of the network signal of the second network, namely the second coverage area, according to the configuration condition of the second network. And comparing the number of the connectors of the first coverage area with the number of the connectors of the second coverage area, and taking the coverage area with the smaller number of the connectors as a first configuration object. Wherein the first configuration object is a first network or a second network. And further, expanding the coverage radius of the first network or the second network according to the first configuration parameter by using the internet of things configuration module. Thereby achieving the technical effect of improving the network transmission quality.
In summary, the embodiments of the present application have at least the following technical effects:
according to the method, the line layout visual model is built for carrying out line partition layout early warning for follow-up, the aim of improving early warning efficiency and accuracy is achieved, then the connector set for line connection is identified in the line layout visual model, multiple types of connectors are determined based on multiple layout partitions, identification distinction is carried out, convenience is brought to follow-up characteristic line screening, furthermore, the line layout visual model is tested, the test signal set on the characteristic line is obtained, and a first early warning signal is generated according to the transmission quality of the test signal set. The technical effect of improving the abnormal early warning reliability of the weak bridge circuit layout and the circuit layout quality is achieved.
Example two
Based on the same inventive concept as the weak bridge circuit layout abnormality pre-warning method based on the internet of things in the foregoing embodiments, as shown in fig. 4, the present application provides a weak bridge circuit layout abnormality pre-warning system based on the internet of things, and the system and method embodiments in the embodiments of the present application are based on the same inventive concept. The system comprises:
the visual model determining module 11 is used for connecting a bridge circuit layout system and determining a circuit layout visual model;
a layout partition obtaining module 12, configured to partition the line layout visualization model based on different network environments, to obtain a plurality of layout partitions, where each layout partition corresponds to one network environment;
a connector set identification module 13 for identifying a connector set for line connection with the line layout visualization model;
the identification distinguishing module 14 is configured to divide the connector set according to the plurality of layout partitions, determine connectors to which each layout partition belongs, obtain a plurality of types of connectors, and identify and distinguish the plurality of types of connectors on the line layout visual model by using display identification information, where the display identification information of each type of connectors is different;
a characteristic line screening module 15, configured to screen a characteristic line, where the characteristic line is a line that two connectors that continuously pass through are different types of connectors;
the first early warning signal generating module 16 is configured to test the line layout visualization model, obtain a test signal set on the characteristic line, and generate a first early warning signal according to transmission quality of the test signal set.
Further, the first early warning signal generating module 16 is further configured to perform the following steps:
acquiring a test signal set on the characteristic line, wherein the test signal set comprises the recording time of a signal passing through a first connector, the recording time of a signal passing through a second connector and the line transmission length of the first connector and the second connector, the first connector is a first connector passing through the characteristic line in sequence, and the second connector is a second connector passing through the characteristic line in sequence continuously;
obtaining a first delay index by carrying out delay identification on the test signal set;
and taking the first delay index as the transmission quality of the test signal set.
Further, the first early warning signal generating module 16 is further configured to perform the following steps:
based on the line transmission lengths of the first connector and the second connector as samples, outputting a sample signal set obtained by signal testing in the same network environment, wherein the sample signal set comprises the recording time of the signal passing through the first connector and the recording time of the signal passing through the second connector;
and carrying out delay identification on the test signal set according to the sample signal set to obtain the first delay index.
Further, the first early warning signal generating module 16 is further configured to perform the following steps:
aligning the recording time of the sample signal set and the test signal set passing through a first connector, and obtaining the recording time difference of the sample signal set and the test signal set passing through a second connector;
and according to the recorded time difference as the first delay index, if the first delay index is larger than a preset first delay index threshold value, acquiring a first early warning signal, wherein the first early warning signal is used for reminding abnormal delay of the signal across the network.
Further, the first early warning signal generating module 16 is further configured to perform the following steps:
and when the transmission signal of the first connector is received and the transmission signal of the second connector is not received, acquiring a second early warning signal, wherein the second early warning signal is used for reminding that the connection of the second connector is abnormally interrupted.
Further, the first early warning signal generating module 16 is further configured to perform the following steps:
the first early warning signal is sent to an Internet of things configuration module by the bridge circuit layout system, wherein the Internet of things configuration module comprises a database of overlapping area-transmission quality;
and analyzing a network overlapping area corresponding to the first early warning signal to obtain a first configuration parameter, and configuring the network environment coverage range of the first connector and the second connector based on the first configuration parameter by the Internet of things configuration module.
Further, the first early warning signal generating module 16 is further configured to perform the following steps:
acquiring a first coverage area of a first network corresponding to the first connector;
acquiring a second coverage area of a second network corresponding to the second connector;
comparing the number of the connectors of the first coverage area with the number of the connectors of the second coverage area to obtain a first configuration object, wherein the first configuration object is a first network or a second network;
and expanding the coverage radius of the first network or the second network according to the first configuration parameter by the Internet of things configuration module.
It should be noted that the sequence of the embodiments of the present application is merely for description, and does not represent the advantages and disadvantages of the embodiments. And the foregoing description has been directed to specific embodiments of this specification. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
The foregoing description of the preferred embodiments of the present application is not intended to limit the invention to the particular embodiments of the present application, but to limit the scope of the invention to the particular embodiments of the present application.
The specification and drawings are merely exemplary of the application and are to be regarded as covering any and all modifications, variations, combinations, or equivalents that are within the scope of the application. It will be apparent to those skilled in the art that various modifications and variations can be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the present application and the equivalents thereof, the present application is intended to cover such modifications and variations.
Claims (9)
1. The weak bridge circuit layout abnormality early warning method based on the Internet of things is characterized by comprising the following steps of:
connecting a bridge circuit layout system, and determining a circuit layout visual model;
partitioning the line layout visual model based on different network environments to obtain a plurality of layout partitions, wherein each layout partition corresponds to one network environment;
identifying a connector set for line connection with the line layout visualization model;
dividing the connector set according to the plurality of layout partitions, determining connectors of each layout partition, taking the connector of each layout partition as a category to obtain a plurality of types of connectors, and identifying and distinguishing the plurality of types of connectors on the line layout visual model by adopting display identification information, wherein the display identification information of each type of connectors is different;
screening a characteristic line, wherein the characteristic line is a line of which two connectors passing continuously are different types of connectors;
and testing the line layout visual model, obtaining a test signal set on the characteristic line, and generating a first early warning signal according to the transmission quality of the test signal set.
2. The method of claim 1, wherein the set of test signals comprises:
the method comprises the steps of recording time of a signal passing through a first connector, recording time of a signal passing through a second connector and line transmission length of the first connector and the second connector, wherein the first connector is the first connector passing through the characteristic line in sequence, and the second connector is the second connector passing through the characteristic line in sequence continuously.
3. The method of claim 2, wherein the transmission quality of the test signal set is:
performing delay identification on the test signal set to obtain a first delay index;
and taking the first delay index as the transmission quality of the test signal set.
4. A method according to claim 3, wherein performing delay identification on the set of test signals to obtain a first delay indicator comprises:
based on the line transmission lengths of the first connector and the second connector as samples, outputting a sample signal set obtained by signal testing in the same network environment, wherein the sample signal set comprises the recording time of the signal passing through the first connector and the recording time of the signal passing through the second connector;
and carrying out delay identification on the test signal set according to the sample signal set to obtain the first delay index.
5. The method of claim 4, wherein said delaying identifying the set of test signals from the set of sample signals comprises:
aligning the recording time of the sample signal set and the test signal set passing through the first connector, and obtaining the recording time difference of the sample signal set and the test signal set passing through the second connector;
and taking the recorded time difference as the first delay index, and if the first delay index is larger than a preset first delay index threshold value, acquiring a first early warning signal, wherein the first early warning signal is used for reminding abnormal delay of the signal across the network.
6. The method of claim 3, wherein testing the wiring visualization model further comprises:
and when the transmission signal of the first connector is received and the transmission signal of the second connector is not received, generating a second early warning signal, wherein the second early warning signal is used for reminding that the connection of the second connector is abnormally interrupted.
7. A method according to claim 3, wherein after generating the first pre-warning signal based on the transmission quality of the set of test signals, the method further comprises:
the first early warning signal is sent to an Internet of things configuration module by the bridge circuit layout system, wherein the Internet of things configuration module comprises a database of overlapping area-transmission quality;
and analyzing a network overlapping area corresponding to the first early warning signal to obtain a first configuration parameter, and configuring the network environment coverage range of the first connector and the second connector based on the first configuration parameter by the Internet of things configuration module.
8. The method of claim 7, wherein configuring, by the internet of things configuration module, network environment coverage of the first connector and the second connector based on the first configuration parameter comprises:
acquiring a first coverage area of a first network corresponding to the first connector;
acquiring a second coverage area of a second network corresponding to the second connector;
comparing the number of the connectors of the first coverage area with the number of the connectors of the second coverage area to obtain a first configuration object, wherein the first configuration object is a first network or a second network;
and expanding the coverage radius of the first configuration object by the Internet of things configuration module according to the first configuration parameter.
9. Weak current bridge circuit layout abnormality early warning system based on the internet of things, which is characterized by comprising:
the visual model determining module is used for connecting the bridge circuit layout system and determining a circuit layout visual model;
the layout partition obtaining module is used for partitioning the line layout visual model based on different network environments to obtain a plurality of layout partitions, wherein each layout partition corresponds to one network environment;
the connector set identification module is used for identifying a connector set for line connection by using the line layout visual model;
the identification distinguishing module is used for dividing the connector set according to the plurality of layout partitions, determining the connector to which each layout partition belongs to obtain a plurality of types of connectors, and carrying out identification distinguishing on the plurality of types of connectors on the line layout visual model by adopting display identification information, wherein the display identification information of each type of connectors is different;
the characteristic line screening module is used for screening characteristic lines, wherein the characteristic lines are lines of which two connectors continuously pass through are different types of connectors;
the first early warning signal generation module is used for testing the line layout visual model, acquiring a test signal set on the characteristic line and generating a first early warning signal according to the transmission quality of the test signal set.
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