CN106651731A - Historical-data-based communication tower to-be-solved problem set generation method and system - Google Patents
Historical-data-based communication tower to-be-solved problem set generation method and system Download PDFInfo
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Abstract
The invention discloses a historical-data-based communication tower to-be-solved problem set generation method and system. The system comprises a tower parameter importance matrix setting module, a sensor data timing acquisition and tower current problem coefficient matrix calculation module, a parameter historical data extraction and current problem coefficient matrix modification module, a problem severity matrix calculation module and a problem severity arrangement and to-be-solved problem set generation module. The method comprises: firstly setting a tower parameter importance matrix and a tower current problem severity coefficient matrix; then according to historical generation frequency of problems, performing severity coefficient modification; and finally, calculating a problem severity matrix, and generating a to-be-solved problem set with a problem sequence. The historical-data-based communication tower to-be-solved problem set generation method and system, which are provided by the invention, solve a technical problem that the historical problem data is not considered when the tower problem severity is calculated.
Description
Technical field
The invention belongs to communication iron tower maintenance technology field, the more particularly to communication iron tower based on historical data are to be solved
Problem set creation method and system.
Background technology
At present communication iron tower is completed on a small quantity mainly by manually being detected and being safeguarded by steel tower on-line monitoring system auxiliary,
Due to steel tower Testing index it is more, if system does not analyze the order of severity of the steel tower problem for detecting, may result in steel tower compared with
Urgent issue handling not in time, so as to produce greater loss；In addition, the multiple an open question of history is likely to because obtaining
Serious loss is caused to attention.Currently without the technical side of the current and historical data decision problem order of severity according to problem
Case.For this purpose, proposing the communication iron tower problem set creation method to be solved and system based on historical data.
The content of the invention
It is to be solved by this invention not consider the problem of historical problem data when being and calculating the steel tower problem order of severity, propose
Communication iron tower problem set creation method to be solved and system based on historical data.
Steel tower system application scenarios based on Internet of Things according to the present invention, as shown in Figure 1.In communication iron tower fixed position
Install sensor equipment, sensor collection steel tower relevant parameter is simultaneously transmitted to system by communication module, and system is to sensor number
According to being preserved and being processed, client obtains information needed with system interaction.
Overall system architecture based on the steel tower system of Internet of Things is as shown in Figure 2.Hardware includes communication iron tower
In itself, the sensing equipment on tower body, communication module and the system of sensing equipment carry out real-time Communication for Power；Systems soft ware part
Including system database, data processing platform (DPP), data management distribution platform, wherein system database is received from sensing equipment
Sensing data simultaneously preserves all system journals, and data processing platform (DPP) transfers the data in system database and processed and divided
Analysis, the respective record in the data processed result and system database of data management distribution platform receiving data processing platform is carried out
Management and issue；System application platform includes management equipment and client, and management equipment includes but is not limited to work station, computer etc.
Facility, client includes but is not limited to the forms such as APP, wechat, Html webpages；The application personnel of the system including but not limited to manage
Reason personnel and attendant, its interface is respectively management equipment and client.
The realization of the present invention relies on above-mentioned application scenarios and system architecture, and in tower body certain position various kinds of sensors inspection is installed
Steel tower correspondence parameter is surveyed, and the historical data of all kinds of problems is extracted in system database.
Communication iron tower based on historical data proposed by the present invention problem set to be solved generates system, including arranges steel tower ginseng
Count importance matrix module, timing acquiring sensing data and calculate steel tower current problem coefficient matrix module, extracting parameter and go through
History data simultaneously correct current problem coefficient matrix module, computational problem order of severity matrix module, the arrangement problems order of severity simultaneously
Generate problem set module to be solved.
1st, steel tower parameter importance matrix module is set：The index parameter of detection needed for system identification communication iron tower and its individual
Number N, can include but is not limited to perpendicularity, stability, integrality, connection gap, column foot depression, lightning protection parameter.System
(importance of each index is set by expert of the art or technical staff according to engineering experience to arrange importance values x of each index parameter
Put, span is 0～M, x values are bigger to represent that the index parameter is more important), constitute parameter importance matrix X=(x1,x2,
x3,…,xN)。
2nd, timing acquiring sensing data and steel tower current problem coefficient matrix module is calculated：The each biography being deployed on steel tower
Sensor timing (sampling interval is T) synchronous acquisition sensing data, system is according to the prior steel tower current problem coefficient letter for arranging
Number (function is drawn using fuzzy mathematics by expert of the art or technical staff according to engineering experience) calculates sensing data pair
The steel tower current problem coefficient a (span is that 0～1, a values are bigger represents that the order of severity is higher) for answering, according to index parameter
Sequentially (order of each index parameter in parameter importance matrix X) constitutes current problem coefficient matrices A=diag (a1,a2,
a3,…,aN), wherein matrix A is the diagonal matrix of N × N.
3rd, extracting parameter historical data and current problem coefficient matrix module is corrected：System extracts going through for indices parameter
History problem data, by the prior historical problem coefficient function for arranging, (function adopts mould by expert of the art or technical staff
Paste Mathematics Proof engineering experience draws) (span is that 0～1, b values are bigger represents the question history to calculate historical problem coefficient b
Occurrence frequency and seriousness are higher), according to order (order of each index parameter in the parameter importance matrix X) structure of index parameter
Into historical problem coefficient matrix B=diag (b1,b2,b3,…,bN), matrix B is the diagonal matrix of N × N.Historical problem coefficient b
The serious coefficient diagonal matrix Y=A+B=diag (y of revised problem are constituted with current problem coefficient a sums1,y2,y3,…,
yN)=diag (a1+b1,a2+b2,a3+b3,…,aN+bN), same matrix Y is also the diagonal matrix of N × N.
4th, computational problem order of severity matrix module：Problem order of severity matrix Z=XY=(z1,z2,z3,…,zN),
Wherein zi=xi·yi, 1≤i≤N.Problem severity values z is corresponding revised by parameter importance values x and index parameter
Serious coefficient y is multiplied and obtains.
5th, the arrangement problems order of severity and problem set module to be solved is generated：Each element descending arrangement in matrix Z is obtained
Matrix H (respective function or other sort methods using commonly using in MATLAB), asks according to the corresponding steel tower of each element in matrix H
Topic, obtains the sequence of the steel tower problem order of severity, generates the problem set to be solved with order of severity sequence.
Communication iron tower problem set to be solved based on historical data generates the system block diagram of system, as shown in Figure 3.
The present invention proposes that it is as follows based on the communication iron tower problem set creation method to be solved of historical data：
Step 1, setting steel tower parameter importance matrix.
The index parameter and its number N of detection needed for system identification communication iron tower, can include but is not limited to perpendicularity, steady
Qualitative, integrality, connection gap, column foot depression, lightning protection parameter.System arranges importance values x of each index parameter and (respectively refers to
Target importance is arranged by expert of the art or technical staff according to engineering experience, and span is 0～M, and the bigger expression of x values should
Index parameter is more important), constitute parameter importance matrix X=(x1,x2,x3,…,xN)。
Step 2, timing acquiring sensing data simultaneously calculate steel tower current problem coefficient matrix.
Each sensor timing (sampling interval is T) the synchronous acquisition sensing data being deployed on steel tower, system is according to thing
(function is by expert of the art or technical staff using fuzzy mathematics according to engineering for the steel tower current problem coefficient function for first arranging
Experience draws) (span is that 0～1, a values are bigger represents serious to calculate the corresponding steel tower current problem coefficient a of sensing data
Degree is higher), constitute current problem system according to the order (order of each index parameter in parameter importance matrix X) of index parameter
Matrix number A=diag (a1,a2,a3,…,aN), wherein matrix A is the diagonal matrix of N × N.
Step 3, extracting parameter historical data simultaneously correct current problem coefficient matrix.
System extracts the historical problem data of indices parameter, (should by the prior historical problem coefficient function for arranging
Function is drawn using fuzzy mathematics by expert of the art or technical staff according to engineering experience) calculate historical problem coefficient b (values
Scope is that 0～1, b values are bigger represents that the question history occurrence frequency and seriousness are higher), according to the order (parameter of index parameter
The order of each index parameter in importance matrix X) constitute historical problem coefficient matrix B=diag (b1,b2,b3,…,bN), matrix
B is the diagonal matrix of N × N.Historical problem coefficient b constitutes the serious coefficient pair of revised problem with current problem coefficient a sums
Angular moment battle array Y=A+B=diag (y1,y2,y3,…,yN)=diag (a1+b1,a2+b2,a3+b3,…,aN+bN), same matrix Y
It is the diagonal matrix of N × N.
Step 4, computational problem order of severity matrix.
Problem order of severity matrix Z=XY=(z1,z2,z3,…,zN), wherein zi=xi·yi, 1≤i≤N.Problem is tight
Weight degree value z is to be multiplied to obtain by the corresponding revised serious coefficient y of parameter importance values x and index parameter.
Step 5, the arrangement problems order of severity simultaneously generate problem set to be solved.
Each element descending arrangement in matrix Z is obtained into matrix H (using the respective function commonly used in MATLAB or other sequences
Method), according to the corresponding steel tower problem of each element in matrix H, the sequence of the steel tower problem order of severity is obtained, generate and there is serious journey
The problem set to be solved of degree sequence.So far, the communication iron tower problem set to be solved based on historical data is generated.
The method flow diagram of the communication iron tower problem set creation method to be solved based on historical data, as shown in Figure 4.
The system and method for the present invention has following two advantages：
(1) steel tower current problem coefficient is modified using historical problem data, improves history and take place frequently the place of problem
Reason priority.
(2) by calculating steel tower to steel tower index parameter importance matrix and the serious coefficient matrix of revised problem
Problem order of severity matrix, realizes the accurate calculating of the order of severity to steel tower problem, is easy to preferentially solve the steel tower of most serious
Problem.
Description of the drawings
Fig. 1 is the application scenarios schematic diagram of the present invention；
Fig. 2 is the application scenarios overall system architecture figure of the present invention；
Fig. 3 is the system block diagram of the present invention；
Fig. 4 is method of the present invention flow chart；
Fig. 5 is the perpendicularity parameter order of severity coefficient calculated curve figure used in the embodiment of the present invention；
Fig. 6 is the historical problem coefficient calculated curve figure used in the embodiment of the present invention.
Specific embodiment
The preferred embodiment of the present invention is elaborated below.
Steel tower system application scenarios based on Internet of Things according to the present invention, as shown in Figure 1.In communication iron tower fixed position
Install sensor equipment, sensor collection steel tower relevant parameter is simultaneously transmitted to system by communication module, and system is to sensing data
Preserved and processed, client is obtained information needed with system interaction.
Overall system architecture based on the steel tower system of Internet of Things is as shown in Figure 2.Hardware includes communication iron tower
In itself, the sensing equipment on tower body, communication module and the system of sensing equipment carry out real-time Communication for Power；Systems soft ware part
Including system database, data processing platform (DPP), data management distribution platform, wherein system database is received from sensing equipment
Sensing data simultaneously preserves all system journals, and data processing platform (DPP) transfers the data in system database and processed and analyzed,
Respective record in the data processed result and system database of data management distribution platform receiving data processing platform is managed
Reason and issue；System application platform includes management equipment and client, and management equipment includes but is not limited to work station, computer etc. and sets
Apply, client includes but is not limited to the forms such as APP, wechat, Html webpages；The application personnel of the system including but not limited to manage
Personnel and attendant, its interface is respectively management equipment and client.
The realization of the present invention relies on above-mentioned application scenarios and system architecture, and in tower body certain position various kinds of sensors inspection is installed
Steel tower correspondence parameter is surveyed, and the historical data of all kinds of steel tower problems is extracted in system database.The inventive method and system
Embodiment is realized as follows：
Communication iron tower based on historical data proposed by the present invention problem set to be solved generates system, including arranges steel tower ginseng
Count importance matrix module, timing acquiring sensing data and calculate steel tower current problem coefficient matrix module, extracting parameter and go through
History data simultaneously correct current problem coefficient matrix module, computational problem order of severity matrix module, the arrangement problems order of severity simultaneously
Generate problem set module to be solved.
1st, steel tower parameter importance matrix module is set：The index parameter of detection needed for system identification communication iron tower and its individual
Number N, in the present embodiment, 6 index parameters that need to be detected according to perpendicularity, stability, integrality, connection gap, column foot depression,
The sequential arrangement of lightning protection.(importance of each index is by expert of the art or technology for importance values x of each index of system setting
Personnel are arranged according to engineering experience, and span is 0～M, and x values are bigger to represent that the index parameter is more important), M in the present embodiment
=10, constitute importance matrix X=(x1,x2,x3,…,xN)=(10,10,9,8,8,6).
2nd, timing acquiring sensing data and steel tower current problem coefficient matrix module is calculated：The each biography being deployed on steel tower
Sensor timing (sampling interval is T) synchronous acquisition sensing data, system is according to the prior each index parameter current problem for arranging
Coefficient function (function is drawn using fuzzy mathematics by expert of the art or technical staff according to engineering experience) calculates sensor
The corresponding current problem coefficient value a of data (span is that 0～1, a values are bigger represents that the order of severity is higher), constitutes problem tight
Weight coefficient matrices A=(a1,a2,…,aN).Songs of such as Fig. 5 corresponding to the current problem coefficient function of the present embodiment perpendicularity
Line schematic diagram (intuitively shows the function) using curve synoptic diagram, the inclination data value that abscissa is detected for sensor, ordinate
For perpendicularity current problem coefficient, the current problem coefficient of remaining index parameter calculates similar.In the present embodiment, inclination angle is detected
Data are 10 °, and it is 0.7 that the function according to Fig. 5 calculates perpendicularity current problem coefficient, and remaining index can according to similar approach
The serious coefficient value of computational problem.The present embodiment composition current problem coefficient matrices A=diag (0.7,0.1,0.5,0.2,0), its
Middle A is the diagonal matrix of N × N.
3rd, extracting parameter historical data and current problem coefficient matrix module is corrected：System extracts going through for indices parameter
History problem data, by the prior historical problem coefficient function for arranging, (function adopts mould by expert of the art or technical staff
Paste Mathematics Proof engineering experience draws) (span is that 0～1, b values are bigger represents the question history to calculate historical problem coefficient b
Occurrence frequency is higher), constitute historical problem by the order (order of each index parameter in parameter importance matrix X) of index parameter
Coefficient matrix B=diag (b1,b2,b3,…,bN), matrix B is the diagonal matrix of N × N.Historical problem coefficient b and current problem
Coefficient a sums constitute the serious coefficient diagonal matrix Y=A+B=diag (y of revised problem1,y2,y3,…,yN)=diag (a1+
b1,a2+b2,a3+b3,…,aN+bN), matrix Y is also the diagonal matrix of N × N.Such as Fig. 6 is the present embodiment historical problem coefficient
The corresponding curve synoptic diagram of function (intuitively shows the function) using curve synoptic diagram, and abscissa goes wrong for metric history
Number of times (more than 10 times by 10 notes), ordinate is historical problem coefficient.In this enforcement, each parameters history problem frequency point
Not Wei (2,0,1,0,4,3), then the function according to Fig. 6 be calculated historical problem coefficient matrix B=diag (0.3,0,
0.15,0,0.8,0.5), the serious coefficient matrix Y=A+B=diag (y of revised problem1,y2,y3,…,yN)=diag (1,
0.1,0.65,0.2,0.8,0.5)。
4th, computational problem order of severity matrix module：Problem order of severity matrix Z=XY=(z1,z2,z3,…,zN),
Wherein zi=xi·yi, 1≤i≤N.Problem severity values z revised is asked by parameter importance values x and parameter are corresponding
Inscribe serious coefficient y multiplications to obtain.In the present embodiment, and Z=XY=(10,1,5.85,1.6,6.4,3).
5th, the arrangement problems order of severity and problem set module to be solved is generated：Each element descending arrangement in matrix Z is obtained
Matrix H (respective function or other sort methods using commonly using in MATLAB), asks according to the corresponding steel tower of each element in matrix H
Topic, obtains the sequence of the steel tower problem order of severity, generates problem set to be solved.In the present embodiment, using sort functions in MATLAB
Carry out descending sort to matrix Z, i.e. H=sort (Z, ' descend')=(10,6.4,5.85,3,1.6,1), in recognition matrix H
The corresponding steel tower problem of each element, then the steel tower problem order of severity be ordered as：Perpendicularity problem, column foot depression problem, integrality
Problem, lightning protection problem, attachment structure gap problem, stability problem, the treating with problem order of severity order of generation
Solve problem collection is for { perpendicularity problem, column foot depression problem, integrity issue, lightning protection problem, the upper tower of non-attendant is asked
Topic, attachment structure gap problem, stability problem }.
The present invention proposes that it is as follows based on the communication iron tower problem set creation method to be solved of historical data：
Step 1, setting steel tower parameter importance matrix.
The index parameter and its number N of detection needed for system identification communication iron tower, in the present embodiment, 6 fingers that need to be detected
Mark parameter according to perpendicularity, stability, integrality, connection gap, column foot depression, lightning protection sequential arrangement.System according to
(importance of each index is by expert of the art or technical staff according to engineering Jing for importance values x of each index of one graded setting
Setting is tested, span is 0～M, and x values are bigger to represent that the index parameter is more important), M=10 in the present embodiment constitutes importance
Matrix X=(x1,x2,x3,…,xN)=(10,10,9,8,8,6).
Step 2, timing acquiring sensing data simultaneously calculate steel tower current problem coefficient matrix.
Each sensor timing (sampling interval is T) the synchronous acquisition sensing data being deployed on steel tower, system is according to thing
First arrange each index parameter current problem coefficient function (function by expert of the art or technical staff using fuzzy mathematics according to
Draw according to engineering experience) (span is the bigger expression of 0～1, a values to calculate the corresponding current problem coefficient value a of sensing data
The order of severity is higher), constitute the serious coefficient matrices A=(a of problem1,a2,…,aN).Such as Fig. 5 working as the present embodiment perpendicularity
Curve synoptic diagram (intuitively showing the function using curve synoptic diagram) corresponding to front problem coefficient function, abscissa is sensor
The inclination data value of detection, ordinate is perpendicularity current problem coefficient, and the current problem coefficient of remaining index parameter calculates class
Seemingly.In the present embodiment, inclination data is detected for 10 °, the function according to Fig. 5 calculates perpendicularity current problem coefficient and is
0.7, remaining index can the serious coefficient value of computational problem according to similar approach.The present embodiment composition current problem coefficient matrices A=
(0.7,0.1,0.5,0.2,0), wherein A is the diagonal matrix of N × N to diag.
Step 3, extracting parameter historical data simultaneously correct current problem coefficient matrix.
System extracts the historical problem data of indices parameter, (should by the prior historical problem coefficient function for arranging
Function is drawn using fuzzy mathematics by expert of the art or technical staff according to engineering experience) calculate historical problem coefficient b (values
Scope is that 0～1, b values are bigger represents that the question history occurrence frequency is higher), by order (the parameter importance matrix of index parameter
The order of each index parameter in X) constitute historical problem coefficient matrix B=diag (b1,b2,b3,…,bN), matrix B is N × N
Diagonal matrix.Historical problem coefficient b constitutes the serious coefficient diagonal matrix Y=A of revised problem with current problem coefficient a sums
+ B=diag (y1,y2,y3,…,yN)=diag (a1+b1,a2+b2,a3+b3,…,aN+bN), matrix Y is also N × N to angular moment
Battle array.Such as Fig. 6 is that (intuitively being shown using curve synoptic diagram should for the corresponding curve synoptic diagram of the present embodiment historical problem coefficient function
Function), the number of times (more than 10 times by 10 notes) that abscissa goes wrong for metric history, ordinate is historical problem coefficient.
In this enforcement, respectively (2,0,1,0,4,3), then the function according to Fig. 6 is calculated each parameters history problem frequency
To historical problem coefficient matrix B=diag (0.3,0,0.15,0,0.8,0.5), the serious coefficient matrix Y=A+ of revised problem
B=diag (y1,y2,y3,…,yN)=diag (1,0.1,0.65,0.2,0.8,0.5).
Step 4, computational problem order of severity matrix.
Problem order of severity matrix Z=XY=(z1,z2,z3,…,zN), wherein zi=xi·yi, 1≤i≤N.Problem is tight
Weight degree value z is to be multiplied to obtain by the serious coefficient y of the corresponding revised problem of parameter importance values x and parameter.The present embodiment
In, Z=XY=(10,1,5.85,1.6,6.4,3).
Step 5, the arrangement problems order of severity simultaneously generate problem set to be solved.
Each element descending arrangement in matrix Z is obtained into matrix H (using the respective function commonly used in MATLAB or other sequences
Method), according to the corresponding steel tower problem of each element in matrix H, the sequence of the steel tower problem order of severity is obtained, generate problem to be solved
Collection.In the present embodiment, descending sort is carried out using sort function pairs matrix Z in MATLAB, i.e. H=sort (Z, ' descend')
=(10,6.4,5.85,3,1.6,1), the corresponding steel tower problem of each element in recognition matrix H, then the steel tower problem order of severity row
Sequence is：Perpendicularity problem, column foot depression problem, integrity issue, lightning protection problem, attachment structure gap problem, stability
Problem, the problem set to be solved with problem order of severity order of generation for perpendicularity problem, column foot depression problem, completely
Sex chromosome mosaicism, lightning protection problem, the upper tower problem of non-attendant, attachment structure gap problem, stability problem }.So far, it is based on
The communication iron tower problem set to be solved of historical data is generated.
Certainly, those of ordinary skill in the art is it should be appreciated that above example is intended merely to illustrate this
Bright, and limitation of the invention is not intended as, as long as within the scope of the invention, the change, modification to above example is all
Protection scope of the present invention will be fallen into.
Claims (10)
1. the communication iron tower problem set to be solved based on historical data generates system, it is characterised in that including setting steel tower parameter weight
The property wanted matrix module, timing acquiring sensing data simultaneously calculate steel tower current problem coefficient matrix module, extracting parameter history number
According to and correct current problem coefficient matrix module, computational problem order of severity matrix module, the arrangement problems order of severity and generate
Problem set module to be solved.
2. the communication iron tower based on historical data according to claim 1 problem set to be solved generates system, and it arranges iron
Tower parameter importance matrix module is characterised by：The index parameter and its number N of detection needed for system identification communication iron tower, if
Importance values x of each index parameter are put, parameter importance matrix X=(x are constituted1,x2,x3,…,xN)。
3. the communication iron tower based on historical data according to claim 1 problem set to be solved generates system, and it is regularly adopted
Collect sensing data and calculate steel tower current problem coefficient matrix module and be characterised by：The each sensor being deployed on steel tower is determined
When synchronous acquisition sensing data, then system sensing data is calculated according to the prior steel tower current problem coefficient function for arranging
Corresponding steel tower current problem coefficient a, according to the order of index parameter current problem coefficient matrices A=diag (a are constituted1,a2,
a3,…,aN), wherein matrix A is the diagonal matrix of N × N.
4. the communication iron tower based on historical data according to claim 1 problem set to be solved generates system, and it extracts ginseng
Count historical data and correct current problem coefficient matrix module and be characterised by：System extracts the historical problem of indices parameter
Data, by the prior historical problem coefficient function for arranging historical problem coefficient b is calculated, and is constituted according to the order of index parameter and is gone through
History problem coefficient matrix B=diag (b1,b2,b3,…,bN), matrix B is the diagonal matrix of N × N；Historical problem coefficient b with work as
Front problem coefficient a sums constitute the serious coefficient diagonal matrix Y=A+B=diag (y of revised problem1,y2,y3,…,yN)=
diag(a1+b1,a2+b2,a3+b3,…,aN+bN), matrix Y is also the diagonal matrix of N × N.
5. the communication iron tower based on historical data according to claim 1 problem set to be solved generates system, and its calculating is asked
Topic order of severity matrix module is characterised by：Problem order of severity matrix Z=XY=(z1,z2,z3,…,zN), wherein zi=
xi·yi, 1≤i≤N, problem severity values z are by the corresponding revised serious coefficient y of parameter importance values x and index parameter
Multiplication is obtained.
6. the communication iron tower based on historical data according to claim 1 problem set to be solved generates system, and its arrangement is asked
Inscribe the order of severity and generate problem set module to be solved and be characterised by：Each element descending arrangement in matrix Z is obtained into matrix H,
According to the corresponding steel tower problem of each element in matrix H, the sequence of the steel tower problem order of severity is obtained, generated with order of severity sequence
Problem set to be solved.
7. the communication iron tower problem set creation method to be solved of historical data is based on, it is characterised in that comprised the following steps：
Step 1, setting steel tower parameter importance matrix；
Step 2, timing acquiring sensing data simultaneously calculate steel tower current problem coefficient matrix；
Step 3, extracting parameter historical data simultaneously correct current problem coefficient matrix；
Step 4, computational problem order of severity matrix；
Step 5, the arrangement problems order of severity simultaneously generate problem set to be solved.
8. the communication iron tower based on historical data according to claim 7 problem set creation method to be solved, its step 1
It is characterised by：The index parameter and its number N of detection needed for system identification communication iron tower, arranges the importance values of each index parameter
X, constitutes parameter importance matrix X=(x1,x2,x3,…,xN)；
Its step 2 is characterised by：The each sensor Timing Synchronization being deployed on steel tower gathers sensing data, then system root
The corresponding steel tower current problem coefficient a of sensing data is calculated according to the prior steel tower current problem coefficient function for arranging, according to finger
The order of mark parameter constitutes current problem coefficient matrices A=diag (a1,a2,a3,…,aN), wherein matrix A is the diagonal of N × N
Matrix.
9. the communication iron tower based on historical data according to claim 7 problem set creation method to be solved, its step 3
It is characterised by：System extracts the historical problem data of indices parameter, by the prior historical problem coefficient function meter for arranging
Historical problem coefficient b is calculated, according to the order of index parameter historical problem coefficient matrix B=diag (b are constituted1,b2,b3,…,bN),
Matrix B is the diagonal matrix of N × N；Historical problem coefficient b and current problem coefficient a sums constitute revised problem
Number diagonal matrix Y=A+B=diag (y1,y2,y3,…,yN)=diag (a1+b1,a2+b2,a3+b3,…,aN+bN), matrix Y
It is the diagonal matrix of N × N.
10. the communication iron tower based on historical data according to claim 7 problem set creation method to be solved, its step 4
It is characterised by：Problem order of severity matrix Z=XY=(z1,z2,z3,…,zN), wherein zi=xi·yi, 1≤i≤N asks
Topic severity values z is by amendment in the corresponding step 2 of parameter importance values x and index parameter arranged in the step 1
Serious coefficient y afterwards is multiplied and obtains；
Its step 5 is characterised by：Each element descending arrangement in matrix Z is obtained into matrix H, according to each element correspondence in matrix H
Steel tower problem, obtain the steel tower problem order of severity sequence, generate with the order of severity sequence problem set to be solved.
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