CN117792879A - Bus data transmission management system and method based on Internet of things - Google Patents
Bus data transmission management system and method based on Internet of things Download PDFInfo
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Abstract
The invention relates to the technical field of bus data transmission management, in particular to a bus data transmission management system and method based on the Internet of things, wherein the system comprises a transmission abnormal characteristic extraction module, the transmission abnormal characteristic extraction module acquires abnormal transmission data in a bus data transmission process to be detected in unit time based on the current time and locks a transmission abnormal monitoring interval of a bus to be detected; and acquiring line transmission environment characteristics of a transmission abnormality monitoring interval of the bus to be tested, and generating a bus line abnormality monitoring node set. According to the invention, by monitoring abnormal transmission data which occurs when the bus to be tested carries out data transmission recently, dynamic screening of the range of the fault position in the bus can be realized; locking abnormal monitoring nodes of the bus line by combining the bus surrounding environment information in the dynamic screening interval; and then generating an optimal bus transmission fault investigation route, assisting an administrator in carrying out bus data transmission management decision, and reducing the influence of bus faults on data transmission.
Description
Technical Field
The invention relates to the technical field of bus data transmission management, in particular to a bus data transmission management system and method based on the Internet of things.
Background
A bus bar refers to a common passage to which a plurality of devices are connected in parallel branches. In a computer system, a shared high-speed path on which a plurality of computers are juxtaposed can be used for arbitrarily transmitting data between the computers, but only one device can transmit data at the same time.
In the existing bus data transmission management system and method based on the Internet of things, under the condition that bus data transmission is abnormal, a general investigation mode is generally adopted to gradually screen buses and equipment connected with the buses, and the mode is time-consuming and labor-consuming, and also delays the quick locking of abnormal points of bus transmission, so that the normal transmission of the bus data is affected; furthermore, people are urgently required to a bus data transmission management system and method based on the Internet of things.
Disclosure of Invention
The invention aims to provide a bus data transmission management system and method based on the Internet of things, which are used for solving the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: a bus data transmission management method based on the Internet of things comprises the following steps:
s1, acquiring equipment connected with a bus to be tested, and constructing an equipment connection set of the bus to be tested; collecting position information of the connection positions of the equipment corresponding to each element in the equipment connection set of the bus to be tested and the bus to be tested respectively, and binding the collected position information with the corresponding equipment;
s2, acquiring abnormal transmission data in the bus data transmission process to be detected in unit time based on the current time, and locking a transmission abnormal monitoring interval of the bus to be detected; acquiring line transmission environment characteristics of a transmission abnormality monitoring interval of a bus to be tested, and generating a bus line abnormality monitoring node set;
s3, collecting monitoring data of corresponding positions of all elements in the bus line abnormal monitoring node set through a sensor, and analyzing transmission abnormal risk interference values of the bus line abnormal monitoring node corresponding to each element in the bus line abnormal monitoring node set by combining the position information of the connection part of equipment and the bus to be tested;
s4, ordering elements in the bus line abnormality monitoring node set according to the sequence of the transmission abnormality risk interference values from high to low to obtain a first risk sequence; according to different combination schemes constructed by all elements in the first risk sequence, respectively generating a fault investigation route corresponding to each combination scheme;
and S5, screening each obtained combination scheme according to the complexity of the fault checking route to obtain an optimal checking route of bus transmission faults, feeding back the optimal checking route to an administrator, and assisting the administrator in making bus data transmission management decisions.
Further, each element in the device connection set of the bus to be tested in S1 corresponds to a data interaction device connected with the bus to be tested, and each data interaction device can send or receive data through the bus to be tested.
Further, the method for locking the transmission abnormality monitoring section of the bus to be tested in S2 includes the following steps:
s201, acquiring abnormal transmission data in the bus data transmission process to be detected in unit time based on the current time, and recording the abnormal transmission data as an abnormal transmission reference data set; the abnormal transmission comprises data with transmission delay exceeding a first preset delay and data with transmission result error or missing phenomenon; the time length corresponding to the unit time is a constant preset in a database;
s202, extracting characteristic information of each abnormal transmission data in an abnormal transmission reference data set, wherein the characteristic information comprises starting time of data transmission, data interaction equipment corresponding to a data sender in a data transmission process, data interaction equipment corresponding to a data receiver in the data transmission process and a transmission section, and the transmission section is a section between the data interaction equipment corresponding to the data sender on a bus to be tested and the data interaction equipment corresponding to the data receiver in the corresponding data transmission process;
s203, heterogeneous interference chains corresponding to each abnormal transmission data in the abnormal transmission reference data set are obtained;
when a heterogeneous interference chain corresponding to abnormal transmission data is obtained, selecting any one abnormal transmission data in an abnormal transmission reference data set, marking the abnormal transmission data as A, obtaining a set formed by all abnormal transmission data with the interval duration of the data transmission starting time corresponding to the abnormal transmission reference data set and the data transmission starting time corresponding to the A being less than or equal to a first preset duration and A, and marking the abnormal transmission data as AC; acquiring intersections of transmission sections corresponding to all elements in the AC respectively, and marking the intersections as first intersection sections corresponding to A; acquiring a union of transmission sections corresponding to all elements in the AC respectively, and marking the union as a first union section corresponding to A;
if the first intersection section corresponding to the A is not an empty set, and the interval duration of the corresponding data transmission starting time and the data transmission starting time corresponding to the A is less than or equal to the first preset duration, normal transmission data of which the corresponding transmission section belongs to the first intersection section exist, and elements in the AC are judged to be interfered by network fluctuation, all elements except the A in the AC are branch nodes on the heterogeneous interference chain corresponding to the A, and the A is a main node on the heterogeneous interference chain corresponding to the A; otherwise, determining that the heterogeneous interference chain corresponding to the A is an empty set;
s204, acquiring a union set of elements in heterogeneous interference chains corresponding to each abnormal transmission data in the abnormal transmission reference data set respectively, and marking the union set as a first heterogeneous interference element; removing all elements contained in the first heterogeneous interference element from the abnormal transmission reference data set, and recording the abnormal transmission reference data set after removing the elements as a calibration reference set;
s205, taking the union of transmission abnormal sections corresponding to elements in the calibration reference set as a transmission abnormal monitoring section of the bus to be tested;
the method for generating the bus line abnormality monitoring node set in the S2 comprises the following steps:
s211, acquiring connection positions of each data exchange device and the bus to be tested in a transmission abnormality monitoring interval of the bus to be tested, and taking the middle point of each connection position as a first abnormality type monitoring node;
s212, acquiring each line section interfered by personnel activities in a transmission abnormal monitoring interval of the bus to be tested, and taking the middle point of each line section interfered by the personnel activities as a second abnormal type monitoring node;
in a transmission abnormal monitoring interval of a bus to be tested, a line section which is interfered by personnel activities and is not covered by a wiring pipe exists in a first unit radius of the periphery of a corresponding line in a previous unit time based on the current time; the first unit radius is a constant preset in a database;
s213, taking the obtained set formed by all the first abnormal type monitoring nodes and the second abnormal type monitoring nodes as a bus line abnormal monitoring node set.
When the transmission abnormal monitoring interval of the bus to be tested is locked, the primary locking of the position of the transmission abnormal point of the bus to be tested in the bus to be tested is realized through the abnormal transmission data in the data transmission process of the bus to be tested, and the data reference is further provided for locking the abnormal position in the bus to be tested in the step.
Further, in the step S3, when monitoring data corresponding to positions of each element in the bus line abnormal monitoring node set is collected through the sensor, collected monitoring data types include: the method comprises the steps of monitoring a camera monitoring picture which is closest to and comprises corresponding positions, bus line abnormality monitoring nodes adjacent to the corresponding positions, and line lengths of the adjacent bus line abnormality monitoring nodes and the corresponding positions;
in the invention, one or two bus line abnormality monitoring nodes are arranged adjacent to the corresponding positions; when the bus line abnormality monitoring node corresponding to the monitoring data is a first abnormality type monitoring node or a monitoring node at the end part in the transmission abnormality monitoring section of the bus to be detected, the bus line abnormality monitoring node adjacent to the corresponding position is one.
The method for analyzing the transmission abnormal risk interference value of the bus line abnormal monitoring node corresponding to each element in the bus line abnormal monitoring node set in the S3 comprises the following steps:
s31, acquiring monitoring data of corresponding positions of all elements in a bus line abnormal monitoring node set; the monitoring data of the corresponding position of the ith element in the bus line abnormal monitoring node set is recorded as Qi; acquiring historical fault investigation data of a bus to be tested in a database;
s32, obtaining a transmission abnormal risk interference value of the i element in the bus line abnormal monitoring node set corresponding to the bus line abnormal monitoring node, marking the transmission abnormal risk interference value as Gi,
wherein Ni represents the number of times that the person identified by the camera monitoring picture which is closest to the Qi and monitors the corresponding position contacts the bus to be detected in the unit time based on the current time; beta represents an interference conversion coefficient and beta is a constant preset in a database;
li represents the number of historical monitoring nodes with overlapping areas in the line section corresponding to the i element in the bus line abnormal monitoring node set in the historical fault detection data of the bus to be detected;
zi represents the number of the historical monitoring nodes which are in the historical fault investigation data of the bus to be tested and have the overlapping areas with the line sections corresponding to the ith element in the abnormal monitoring node set of the bus line, and the fault source is the overlapping areas with the line sections corresponding to the ith element in the abnormal monitoring node set of the bus line;
hi represents the sum of the contact times of the person identified by the camera monitoring picture which is closest to the nearest and monitors the corresponding position and the bus to be detected in the monitoring data of each bus line abnormal monitoring node adjacent to the corresponding position of the ith element in the bus line abnormal monitoring node set in the unit time based on the current time;
dm represents the line length between the bus line abnormality monitoring node corresponding to the contact of the mth personnel with the bus to be detected in Hi and the corresponding position of the ith element in the bus line abnormality monitoring node set, and dm is more than 0; b represents the distance disturbance transformation coefficient and b is a constant preset in the database.
The invention analyzes the transmission abnormal risk interference value of each element in the bus line abnormal monitoring node set, which is used for evaluating the risk condition that different bus line abnormal monitoring node positions in a bus to be tested have fault abnormal points, and the larger the corresponding transmission abnormal risk interference value is, the larger the abnormal probability of the corresponding bus line abnormal monitoring node position is, and the higher the inspection requirement of the corresponding position is; in the invention, the bus line abnormal monitoring nodes are taken as inspection analysis objects, and when the bus is abnormal in transmission data, the bus line abnormal monitoring nodes are mainly caused by interference of external environment in the use process, so that the positions of all the monitoring nodes are locked for fault investigation, and the fault positions can be locked rapidly.
Further, when the different combination schemes are constructed according to all the elements in the first risk sequence in S4, each constructed combination scheme includes all the elements in the first risk sequence and only one element is included in each constructed combination scheme;
when generating a fault investigation route corresponding to each combination scheme, generating a shortest route between two adjacent elements in the corresponding combination scheme as a fault investigation route segment through navigation software, and sequentially connecting the obtained fault investigation route segments, wherein the obtained connection result is the fault investigation route corresponding to the corresponding combination scheme.
Further, when the complexity of the troubleshooting route is obtained in the step S5, the complexity of the jth troubleshooting route is denoted as Fj;
wherein Ri represents conversion coefficients corresponding to the execution demand priority of the ith element in the first risk sequence in a preset database form, respectively, where the execution demand priority of the element in the first risk sequence is equal to the first riskThe numerical values of the serial numbers of the corresponding elements in the sequence are equal; i1 represents the total number of elements in the first risk sequence; dj (Dj) i Representing the length of a route from the 1 st element position in the corresponding combination scheme to the i-th element position in the first risk sequence in the j-th fault troubleshooting route; if the 1 st element position in the corresponding combination scheme is the same as the i-th element position in the first risk sequence, determining that the distance between the two element positions is 0;
the optimal bus transmission fault investigation route is the fault investigation route with the lowest complexity.
Bus data transmission management system based on the Internet of things, wherein the system comprises the following modules:
the bus information acquisition module acquires equipment connected with the bus to be detected and constructs an equipment connection set of the bus to be detected; collecting position information of the connection positions of the equipment corresponding to each element in the equipment connection set of the bus to be tested and the bus to be tested respectively, and binding the collected position information with the corresponding equipment;
the transmission abnormal characteristic extraction module is used for acquiring abnormal transmission data in the bus data transmission process to be detected in unit time based on the current time and locking a transmission abnormal monitoring interval of the bus to be detected; acquiring line transmission environment characteristics of a transmission abnormality monitoring interval of a bus to be tested, and generating a bus line abnormality monitoring node set;
the transmission risk analysis module is used for collecting monitoring data of corresponding positions of all elements in the bus line abnormal monitoring node set through a sensor, and analyzing transmission abnormal risk interference values of the bus line abnormal monitoring node corresponding to each element in the bus line abnormal monitoring node set by combining position information of a connecting part of equipment and a bus to be tested;
the obstacle removing scheme generating module is used for sequencing elements in the bus line abnormal monitoring node set according to the sequence from the big to the small of the transmission abnormal risk interference value to obtain a first risk sequence; according to different combination schemes constructed by all elements in the first risk sequence, respectively generating a fault investigation route corresponding to each combination scheme;
and the transmission abnormality investigation management module is used for screening each obtained combination scheme according to the complexity of the fault investigation route to obtain an optimal busbar transmission fault investigation route, feeding the optimal busbar transmission fault investigation route back to an administrator and assisting the administrator in carrying out busbar data transmission management decision.
Further, the transmission abnormal characteristic extraction module comprises an interval locking unit and a monitoring node extraction unit,
the interval locking unit acquires abnormal transmission data in the bus data transmission process to be detected in unit time based on the current time, and locks a transmission abnormal monitoring interval of the bus to be detected;
the monitoring node extraction unit acquires line transmission environment characteristics of a transmission abnormality monitoring interval of the bus to be detected, and generates a bus line abnormality monitoring node set.
Compared with the prior art, the invention has the following beneficial effects: according to the invention, by monitoring abnormal transmission data which occurs when the bus to be tested carries out data transmission recently, dynamic screening of the range of the fault position in the bus can be realized; locking abnormal monitoring nodes of the bus line by combining the bus surrounding environment information in the dynamic screening interval; and then, by combining historical fault investigation data and environmental information around abnormal monitoring nodes of each bus line, generating an optimal bus transmission fault investigation route, assisting an administrator in carrying out bus data transmission management decision, rapidly locking fault points in a bus, and reducing the influence of bus faults on data transmission.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic flow chart of a bus data transmission management method based on the Internet of things;
fig. 2 is a schematic structural diagram of a bus data transmission management system based on the internet of things.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention provides the following technical solutions: a bus data transmission management method based on the Internet of things comprises the following steps:
s1, acquiring equipment connected with a bus to be tested, and constructing an equipment connection set of the bus to be tested; collecting position information of the connection positions of the equipment corresponding to each element in the equipment connection set of the bus to be tested and the bus to be tested respectively, and binding the collected position information with the corresponding equipment;
and each element in the equipment connection set of the bus to be tested in the S1 corresponds to one data interaction equipment connected with the bus to be tested, and each data interaction equipment can send or receive data through the bus to be tested.
S2, acquiring abnormal transmission data in the bus data transmission process to be detected in unit time based on the current time, and locking a transmission abnormal monitoring interval of the bus to be detected; acquiring line transmission environment characteristics of a transmission abnormality monitoring interval of a bus to be tested, and generating a bus line abnormality monitoring node set;
the method for locking the transmission abnormality monitoring interval of the bus to be tested in the S2 comprises the following steps:
s201, acquiring abnormal transmission data in the bus data transmission process to be detected in unit time based on the current time, and recording the abnormal transmission data as an abnormal transmission reference data set; the abnormal transmission comprises data with transmission delay exceeding a first preset delay and data with transmission result error or missing phenomenon; the time length corresponding to the unit time is a constant preset in a database;
s202, extracting characteristic information of each abnormal transmission data in an abnormal transmission reference data set, wherein the characteristic information comprises starting time of data transmission, data interaction equipment corresponding to a data sender in a data transmission process, data interaction equipment corresponding to a data receiver in the data transmission process and a transmission section, and the transmission section is a section between the data interaction equipment corresponding to the data sender on a bus to be tested and the data interaction equipment corresponding to the data receiver in the corresponding data transmission process;
s203, heterogeneous interference chains corresponding to each abnormal transmission data in the abnormal transmission reference data set are obtained;
when a heterogeneous interference chain corresponding to abnormal transmission data is obtained, selecting any one abnormal transmission data in an abnormal transmission reference data set, marking the abnormal transmission data as A, obtaining a set formed by all abnormal transmission data with the interval duration of the data transmission starting time corresponding to the abnormal transmission reference data set and the data transmission starting time corresponding to the A being less than or equal to a first preset duration and A, and marking the abnormal transmission data as AC; acquiring intersections of transmission sections corresponding to all elements in the AC respectively, and marking the intersections as first intersection sections corresponding to A; acquiring a union of transmission sections corresponding to all elements in the AC respectively, and marking the union as a first union section corresponding to A;
if the first intersection section corresponding to the A is not an empty set, and the interval duration of the corresponding data transmission starting time and the data transmission starting time corresponding to the A is less than or equal to the first preset duration, normal transmission data of which the corresponding transmission section belongs to the first intersection section exist, and elements in the AC are judged to be interfered by network fluctuation, all elements except the A in the AC are branch nodes on the heterogeneous interference chain corresponding to the A, and the A is a main node on the heterogeneous interference chain corresponding to the A; otherwise, determining that the heterogeneous interference chain corresponding to the A is an empty set;
s204, acquiring a union set of elements in heterogeneous interference chains corresponding to each abnormal transmission data in the abnormal transmission reference data set respectively, and marking the union set as a first heterogeneous interference element; removing all elements contained in the first heterogeneous interference element from the abnormal transmission reference data set, and recording the abnormal transmission reference data set after removing the elements as a calibration reference set;
s205, taking the union of transmission abnormal sections corresponding to elements in the calibration reference set as a transmission abnormal monitoring section of the bus to be tested;
the method for generating the bus line abnormality monitoring node set in the S2 comprises the following steps:
s211, acquiring connection positions of each data exchange device and the bus to be tested in a transmission abnormality monitoring interval of the bus to be tested, and taking the middle point of each connection position as a first abnormality type monitoring node;
s212, acquiring each line section interfered by personnel activities in a transmission abnormal monitoring interval of the bus to be tested, and taking the middle point of each line section interfered by the personnel activities as a second abnormal type monitoring node;
in a transmission abnormal monitoring interval of a bus to be tested, a line section which is interfered by personnel activities and is not covered by a wiring pipe exists in a first unit radius of the periphery of a corresponding line in a previous unit time based on the current time; the first unit radius is a constant preset in a database;
s213, taking the obtained set formed by all the first abnormal type monitoring nodes and the second abnormal type monitoring nodes as a bus line abnormal monitoring node set.
S3, collecting monitoring data of corresponding positions of all elements in the bus line abnormal monitoring node set through a sensor, and analyzing transmission abnormal risk interference values of the bus line abnormal monitoring node corresponding to each element in the bus line abnormal monitoring node set by combining the position information of the connection part of equipment and the bus to be tested;
in the step S3, when monitoring data of corresponding positions of all elements in the bus line abnormal monitoring node set are collected through the sensor, the collected monitoring data comprises the following types: the method comprises the steps of monitoring a camera monitoring picture which is closest to and comprises corresponding positions, bus line abnormality monitoring nodes adjacent to the corresponding positions, and line lengths of the adjacent bus line abnormality monitoring nodes and the corresponding positions;
the method for analyzing the transmission abnormal risk interference value of the bus line abnormal monitoring node corresponding to each element in the bus line abnormal monitoring node set in the S3 comprises the following steps:
s31, acquiring monitoring data of corresponding positions of all elements in a bus line abnormal monitoring node set; the monitoring data of the corresponding position of the ith element in the bus line abnormal monitoring node set is recorded as Qi; acquiring historical fault investigation data of a bus to be tested in a database;
s32, obtaining a transmission abnormal risk interference value of the i element in the bus line abnormal monitoring node set corresponding to the bus line abnormal monitoring node, marking the transmission abnormal risk interference value as Gi,
wherein Ni represents the number of times that the person identified by the camera monitoring picture which is closest to the Qi and monitors the corresponding position contacts the bus to be detected in the unit time based on the current time; beta represents an interference conversion coefficient and beta is a constant preset in a database;
li represents the number of historical monitoring nodes with overlapping areas in the line section corresponding to the i element in the bus line abnormal monitoring node set in the historical fault detection data of the bus to be detected;
zi represents the number of the historical monitoring nodes which are in the historical fault investigation data of the bus to be tested and have the overlapping areas with the line sections corresponding to the ith element in the abnormal monitoring node set of the bus line, and the fault source is the overlapping areas with the line sections corresponding to the ith element in the abnormal monitoring node set of the bus line;
hi represents the sum of the contact times of the person identified by the camera monitoring picture which is closest to the nearest and monitors the corresponding position and the bus to be detected in the monitoring data of each bus line abnormal monitoring node adjacent to the corresponding position of the ith element in the bus line abnormal monitoring node set in the unit time based on the current time;
dm represents the line length between the bus line abnormality monitoring node corresponding to the contact of the mth personnel with the bus to be detected in Hi and the corresponding position of the ith element in the bus line abnormality monitoring node set, and dm is more than 0; b represents the distance disturbance transformation coefficient and b is a constant preset in the database.
S4, ordering elements in the bus line abnormality monitoring node set according to the sequence of the transmission abnormality risk interference values from high to low to obtain a first risk sequence; according to different combination schemes constructed by all elements in the first risk sequence, respectively generating a fault investigation route corresponding to each combination scheme;
when different combination schemes are constructed according to all elements in the first risk sequence in the step S4, each constructed combination scheme comprises all elements in the first risk sequence and only one element is arranged;
when generating a fault investigation route corresponding to each combination scheme, generating a shortest route between two adjacent elements in the corresponding combination scheme as a fault investigation route segment through navigation software, and sequentially connecting the obtained fault investigation route segments, wherein the obtained connection result is the fault investigation route corresponding to the corresponding combination scheme.
And S5, screening each obtained combination scheme according to the complexity of the fault checking route to obtain an optimal checking route of bus transmission faults, feeding back the optimal checking route to an administrator, and assisting the administrator in making bus data transmission management decisions.
When the complexity of the fault checking route is obtained in the step S5, the complexity of the j-th fault checking route is recorded as Fj;
wherein Ri represents conversion coefficients corresponding to the execution demand priorities of the ith element in the first risk sequence in the database preset form, where the execution demand priorities of the elements in the first risk sequence are equal to the values of the serial numbers of the corresponding elements in the first risk sequence (in this embodiment, the execution demand priorities corresponding to the first element in the first risk sequence)For the first level, similarly, the priority of the execution requirement corresponding to the g-th element in the first risk sequence is g level); i1 represents the total number of elements in the first risk sequence; dj (Dj) i Representing the length of a route from the 1 st element position in the corresponding combination scheme to the i-th element position in the first risk sequence in the j-th fault troubleshooting route; if the 1 st element position in the corresponding combination scheme is the same as the i-th element position in the first risk sequence, determining that the distance between the two element positions is 0;
in this embodiment, if four bus line anomaly monitoring nodes exist in a certain fault detection line, the four bus line anomaly monitoring nodes are a, b, c and t respectively, and the sequence of occurrence of the four elements in the combination scheme corresponding to the fault detection line is { a, b, c, t };
if the sequence of the four elements of A, B, C and D in the first risk sequence is { B, C, A and D };
the distance between first and second lines in the fault checking line is denoted as P1, the distance between second and third lines is denoted as P2, and the distance between third and fourth lines is denoted as P3;
the priority of the execution requirement of the second risk sequence is first level, if the priority of the execution requirement of the database preset form is the conversion coefficient corresponding to the first level, the conversion coefficient is marked as R1;
the priority of the execution demand of the third in the first risk sequence is the second, if the priority of the execution demand in the preset form of the database is the conversion coefficient corresponding to the second, the conversion coefficient is marked as R2;
the priority of the execution requirement of the first risk sequence is three-level, if the priority of the execution requirement in the preset form of the database is three-level, the corresponding conversion coefficient is marked as R3;
the priority of the execution requirement of the step D in the first risk sequence is four, if the priority of the execution requirement in the preset form of the database is four, the conversion coefficient corresponding to the four levels is marked as R4;
then D 1 ＝P1；D 2 ＝P1+P2；D 3 ＝0；D 4 ＝P1+P2+P3；
The complexity of the troubleshooting route is noted as f=r1·d 1 +R2·D 2 +R3·D 3 +R4·D 4 。
The optimal bus transmission fault investigation route is the fault investigation route with the lowest complexity.
As shown in fig. 2, a bus data transmission management system based on the internet of things, the system comprises the following modules:
the bus information acquisition module acquires equipment connected with the bus to be detected and constructs an equipment connection set of the bus to be detected; collecting position information of the connection positions of the equipment corresponding to each element in the equipment connection set of the bus to be tested and the bus to be tested respectively, and binding the collected position information with the corresponding equipment;
the transmission abnormal characteristic extraction module is used for acquiring abnormal transmission data in the bus data transmission process to be detected in unit time based on the current time and locking a transmission abnormal monitoring interval of the bus to be detected; acquiring line transmission environment characteristics of a transmission abnormality monitoring interval of a bus to be tested, and generating a bus line abnormality monitoring node set;
the transmission risk analysis module is used for collecting monitoring data of corresponding positions of all elements in the bus line abnormal monitoring node set through a sensor, and analyzing transmission abnormal risk interference values of the bus line abnormal monitoring node corresponding to each element in the bus line abnormal monitoring node set by combining position information of a connecting part of equipment and a bus to be tested;
the obstacle removing scheme generating module is used for sequencing elements in the bus line abnormal monitoring node set according to the sequence from the big to the small of the transmission abnormal risk interference value to obtain a first risk sequence; according to different combination schemes constructed by all elements in the first risk sequence, respectively generating a fault investigation route corresponding to each combination scheme;
and the transmission abnormality investigation management module is used for screening each obtained combination scheme according to the complexity of the fault investigation route to obtain an optimal busbar transmission fault investigation route, feeding the optimal busbar transmission fault investigation route back to an administrator and assisting the administrator in carrying out busbar data transmission management decision.
The transmission abnormal characteristic extraction module comprises an interval locking unit and a monitoring node extraction unit,
the interval locking unit acquires abnormal transmission data in the bus data transmission process to be detected in unit time based on the current time, and locks a transmission abnormal monitoring interval of the bus to be detected;
the monitoring node extraction unit acquires line transmission environment characteristics of a transmission abnormality monitoring interval of the bus to be detected, and generates a bus line abnormality monitoring node set.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. The bus data transmission management method based on the Internet of things is characterized by comprising the following steps of:
s1, acquiring equipment connected with a bus to be tested, and constructing an equipment connection set of the bus to be tested; collecting position information of the connection positions of the equipment corresponding to each element in the equipment connection set of the bus to be tested and the bus to be tested respectively, and binding the collected position information with the corresponding equipment;
s2, acquiring abnormal transmission data in the bus data transmission process to be detected in unit time based on the current time, and locking a transmission abnormal monitoring interval of the bus to be detected; acquiring line transmission environment characteristics of a transmission abnormality monitoring interval of a bus to be tested, and generating a bus line abnormality monitoring node set;
s3, collecting monitoring data of corresponding positions of all elements in the bus line abnormal monitoring node set through a sensor, and analyzing transmission abnormal risk interference values of the bus line abnormal monitoring node corresponding to each element in the bus line abnormal monitoring node set by combining the position information of the connection part of equipment and the bus to be tested;
s4, ordering elements in the bus line abnormality monitoring node set according to the sequence of the transmission abnormality risk interference values from high to low to obtain a first risk sequence; according to different combination schemes constructed by all elements in the first risk sequence, respectively generating a fault investigation route corresponding to each combination scheme;
and S5, screening each obtained combination scheme according to the complexity of the fault checking route to obtain an optimal checking route of bus transmission faults, feeding back the optimal checking route to an administrator, and assisting the administrator in making bus data transmission management decisions.
2. The bus data transmission management method based on the internet of things according to claim 1, wherein the bus data transmission management method based on the internet of things is characterized in that: and each element in the equipment connection set of the bus to be tested in the S1 corresponds to one data interaction equipment connected with the bus to be tested, and each data interaction equipment can send or receive data through the bus to be tested.
3. The bus data transmission management method based on the internet of things according to claim 1, wherein the bus data transmission management method based on the internet of things is characterized in that: the method for locking the transmission abnormality monitoring interval of the bus to be tested in the S2 comprises the following steps:
s201, acquiring abnormal transmission data in the bus data transmission process to be detected in unit time based on the current time, and recording the abnormal transmission data as an abnormal transmission reference data set; the abnormal transmission comprises data with transmission delay exceeding a first preset delay and data with transmission result error or missing phenomenon; the time length corresponding to the unit time is a constant preset in a database;
s202, extracting characteristic information of each abnormal transmission data in an abnormal transmission reference data set, wherein the characteristic information comprises starting time of data transmission, data interaction equipment corresponding to a data sender in a data transmission process, data interaction equipment corresponding to a data receiver in the data transmission process and a transmission section, and the transmission section is a section between the data interaction equipment corresponding to the data sender on a bus to be tested and the data interaction equipment corresponding to the data receiver in the corresponding data transmission process;
s203, heterogeneous interference chains corresponding to each abnormal transmission data in the abnormal transmission reference data set are obtained;
when a heterogeneous interference chain corresponding to abnormal transmission data is obtained, selecting any one abnormal transmission data in an abnormal transmission reference data set, marking the abnormal transmission data as A, obtaining a set formed by all abnormal transmission data with the interval duration of the data transmission starting time corresponding to the abnormal transmission reference data set and the data transmission starting time corresponding to the A being less than or equal to a first preset duration and A, and marking the abnormal transmission data as AC; acquiring intersections of transmission sections corresponding to all elements in the AC respectively, and marking the intersections as first intersection sections corresponding to A; acquiring a union of transmission sections corresponding to all elements in the AC respectively, and marking the union as a first union section corresponding to A;
if the first intersection section corresponding to the A is not an empty set, and the interval duration of the corresponding data transmission starting time and the data transmission starting time corresponding to the A is less than or equal to the first preset duration, normal transmission data of which the corresponding transmission section belongs to the first intersection section exist, and elements in the AC are judged to be interfered by network fluctuation, all elements except the A in the AC are branch nodes on the heterogeneous interference chain corresponding to the A, and the A is a main node on the heterogeneous interference chain corresponding to the A; otherwise, determining that the heterogeneous interference chain corresponding to the A is an empty set;
s204, acquiring a union set of elements in heterogeneous interference chains corresponding to each abnormal transmission data in the abnormal transmission reference data set respectively, and marking the union set as a first heterogeneous interference element; removing all elements contained in the first heterogeneous interference element from the abnormal transmission reference data set, and recording the abnormal transmission reference data set after removing the elements as a calibration reference set;
s205, taking the union of transmission abnormal sections corresponding to elements in the calibration reference set as a transmission abnormal monitoring section of the bus to be tested;
the method for generating the bus line abnormality monitoring node set in the S2 comprises the following steps:
s211, acquiring connection positions of each data exchange device and the bus to be tested in a transmission abnormality monitoring interval of the bus to be tested, and taking the middle point of each connection position as a first abnormality type monitoring node;
s212, acquiring each line section interfered by personnel activities in a transmission abnormal monitoring interval of the bus to be tested, and taking the middle point of each line section interfered by the personnel activities as a second abnormal type monitoring node;
in a transmission abnormal monitoring interval of a bus to be tested, a line section which is interfered by personnel activities and is not covered by a wiring pipe exists in a first unit radius of the periphery of a corresponding line in a previous unit time based on the current time; the first unit radius is a constant preset in a database;
s213, taking the obtained set formed by all the first abnormal type monitoring nodes and the second abnormal type monitoring nodes as a bus line abnormal monitoring node set.
4. The bus data transmission management method based on the internet of things according to claim 3, wherein the bus data transmission management method based on the internet of things is characterized in that: in the step S3, when monitoring data of corresponding positions of all elements in the bus line abnormal monitoring node set are collected through the sensor, the collected monitoring data comprises the following types: the method comprises the steps of monitoring a camera monitoring picture which is closest to and comprises corresponding positions, bus line abnormality monitoring nodes adjacent to the corresponding positions, and line lengths of the adjacent bus line abnormality monitoring nodes and the corresponding positions;
the method for analyzing the transmission abnormal risk interference value of the bus line abnormal monitoring node corresponding to each element in the bus line abnormal monitoring node set in the S3 comprises the following steps:
s31, acquiring monitoring data of corresponding positions of all elements in a bus line abnormal monitoring node set; the monitoring data of the corresponding position of the ith element in the bus line abnormal monitoring node set is recorded as Qi; acquiring historical fault investigation data of a bus to be tested in a database;
s32, obtaining a transmission abnormal risk interference value of the i element in the bus line abnormal monitoring node set corresponding to the bus line abnormal monitoring node, marking the transmission abnormal risk interference value as Gi,
wherein Ni represents the number of times that the person identified by the camera monitoring picture which is closest to the Qi and monitors the corresponding position contacts the bus to be detected in the unit time based on the current time; beta represents an interference conversion coefficient and beta is a constant preset in a database;
li represents the number of historical monitoring nodes with overlapping areas in the line section corresponding to the i element in the bus line abnormal monitoring node set in the historical fault detection data of the bus to be detected;
zi represents the number of the historical monitoring nodes which are in the historical fault investigation data of the bus to be tested and have the overlapping areas with the line sections corresponding to the ith element in the abnormal monitoring node set of the bus line, and the fault source is the overlapping areas with the line sections corresponding to the ith element in the abnormal monitoring node set of the bus line;
hi represents the sum of the contact times of the person identified by the camera monitoring picture which is closest to the nearest and monitors the corresponding position and the bus to be detected in the monitoring data of each bus line abnormal monitoring node adjacent to the corresponding position of the ith element in the bus line abnormal monitoring node set in the unit time based on the current time;
dm represents the line length between the bus line abnormality monitoring node corresponding to the contact of the mth personnel with the bus to be detected in Hi and the corresponding position of the ith element in the bus line abnormality monitoring node set, and dm is more than 0; b represents the distance disturbance transformation coefficient and b is a constant preset in the database.
5. The bus data transmission management method based on the internet of things according to claim 1, wherein the bus data transmission management method based on the internet of things is characterized in that: when different combination schemes are constructed according to all elements in the first risk sequence in the step S4, each constructed combination scheme comprises all elements in the first risk sequence and only one element is arranged;
when generating a fault investigation route corresponding to each combination scheme, generating a shortest route between two adjacent elements in the corresponding combination scheme as a fault investigation route segment through navigation software, and sequentially connecting the obtained fault investigation route segments, wherein the obtained connection result is the fault investigation route corresponding to the corresponding combination scheme.
6. The bus data transmission management method based on the internet of things according to claim 5, wherein the bus data transmission management method based on the internet of things is characterized in that: when the complexity of the fault checking route is obtained in the step S5, the complexity of the j-th fault checking route is recorded as Fj;
the method comprises the steps that Ri represents conversion coefficients respectively corresponding to execution demand priorities of ith elements in a first risk sequence in a database preset form, wherein the execution demand priorities of the elements in the first risk sequence are equal to numerical values of serial numbers of corresponding elements in the first risk sequence; i1 represents the total number of elements in the first risk sequence; dj (Dj) i Representing the 1 st element position to the first wind in the j-th fault detection routeA path length between the i-th element positions in the risk sequence; if the 1 st element position in the corresponding combination scheme is the same as the i-th element position in the first risk sequence, determining that the distance between the two element positions is 0;
the optimal bus transmission fault investigation route is the fault investigation route with the lowest complexity.
7. Bus data transmission management system based on the internet of things, which is realized by applying the bus data transmission management method based on the internet of things according to any one of claims 1-6, and is characterized by comprising the following modules:
the bus information acquisition module acquires equipment connected with the bus to be detected and constructs an equipment connection set of the bus to be detected; collecting position information of the connection positions of the equipment corresponding to each element in the equipment connection set of the bus to be tested and the bus to be tested respectively, and binding the collected position information with the corresponding equipment;
the transmission abnormal characteristic extraction module is used for acquiring abnormal transmission data in the bus data transmission process to be detected in unit time based on the current time and locking a transmission abnormal monitoring interval of the bus to be detected; acquiring line transmission environment characteristics of a transmission abnormality monitoring interval of a bus to be tested, and generating a bus line abnormality monitoring node set;
the transmission risk analysis module is used for collecting monitoring data of corresponding positions of all elements in the bus line abnormal monitoring node set through a sensor, and analyzing transmission abnormal risk interference values of the bus line abnormal monitoring node corresponding to each element in the bus line abnormal monitoring node set by combining position information of a connecting part of equipment and a bus to be tested;
the obstacle removing scheme generating module is used for sequencing elements in the bus line abnormal monitoring node set according to the sequence from the big to the small of the transmission abnormal risk interference value to obtain a first risk sequence; according to different combination schemes constructed by all elements in the first risk sequence, respectively generating a fault investigation route corresponding to each combination scheme;
and the transmission abnormality investigation management module is used for screening each obtained combination scheme according to the complexity of the fault investigation route to obtain an optimal busbar transmission fault investigation route, feeding the optimal busbar transmission fault investigation route back to an administrator and assisting the administrator in carrying out busbar data transmission management decision.
8. The bus data transmission management system based on the internet of things according to claim 7, wherein: the transmission abnormal characteristic extraction module comprises an interval locking unit and a monitoring node extraction unit,
the interval locking unit acquires abnormal transmission data in the bus data transmission process to be detected in unit time based on the current time, and locks a transmission abnormal monitoring interval of the bus to be detected;
the monitoring node extraction unit acquires line transmission environment characteristics of a transmission abnormality monitoring interval of the bus to be detected, and generates a bus line abnormality monitoring node set.
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