Foundation stability monitoring method and system for equal-open power transmission tower

Abstract

The invention discloses a foundation stability monitoring method for an equal-open power transmission tower. The method comprises the following steps: acquiring data information of a target equal-open power transmission tower; state simulation of foundation settlement and inclination is carried out to obtain a state representation data set, and clustering analysis is adopted to obtain a plurality of state centers; acquiring basic monitoring data information of a target equal-open power transmission tower in real time; calculating the correlation between the basic monitoring data information and a plurality of state centers; and calculating a basic risk state of the target equal-open power transmission tower, and completing basic stability monitoring of the equal-open power transmission tower. The invention further discloses a system for realizing the foundation stability monitoring method for the equal-opening power transmission tower. According to the method, the various state center points of the equal-open power transmission tower foundation are obtained through simulation analysis, the basic data of the equal-open power transmission tower are monitored in real time, the basic stability monitoring of the equal-open power transmission tower is achieved according to the distances between the obtained data and the various state center points, the reliability is higher, the accuracy is better, and the efficiency is higher.

Description

Technical Field

[0001] The invention belongs to the field of electrical automation, and in particular relates to a method and system for monitoring the foundation stability of an equal-opening transmission tower. Background Art

[0002] With the development of economy and technology and the improvement of people's living standards, electricity has become an indispensable secondary energy source in people's production and life, bringing endless convenience to people's production and life. Therefore, ensuring the stable and reliable supply of electricity has become one of the most important tasks of the power system.

[0003] Transmission lines are a key component of the power system and play an important role in the power system. Transmission towers are the load-bearing structures of power lines, so the safety and stability of transmission lines directly affect the safe and stable operation of the power system. Equal-span transmission towers refer to towers with four tower legs on the same horizontal plane. At the same time, equal-span transmission towers are also the most common towers among transmission line towers.

[0004] Due to the long-term adverse weather conditions such as rainfall, high temperature, ice, snow, strong wind, and the impact of human activities such as engineering excavation, stone and soil extraction, and road construction, the tower base of the transmission tower may sink and tilt. Once such a situation occurs, it will seriously affect the safe and stable operation of the transmission tower. Therefore, it is of great significance to monitor the foundation stability of the transmission tower.

[0005] At present, the power system still uses manual inspection or drone inspection to monitor the foundation stability of the transmission tower. Manual inspection means that the power system patrol staff manually monitors the foundation of the transmission line; while the drone inspection scheme uses drones to take photos and videos of the foundation of the transmission tower, and determines the foundation stability through image detection or manual detection. However, the change of the foundation stability of the transmission tower is often a microscopic and extremely subtle process. Ordinary manual detection or image detection schemes cannot accurately identify the change of the foundation stability of the transmission tower. By the time the change or result can be identified, the foundation of the transmission tower has already undergone irreversible and obvious changes, such as obvious tilt and settlement. Therefore, the existing schemes have poor reliability and accuracy. Summary of the invention

[0006] One of the purposes of the present invention is to provide a method for monitoring the foundation stability of an equal-width transmission tower with high reliability, good accuracy and high efficiency.

[0007] A second object of the present invention is to provide a system for implementing the foundation stability monitoring method of the equal-space transmission tower.

[0008] The method for monitoring the foundation stability of an equal-length transmission tower provided by the present invention comprises the following steps:

[0009] S1. Obtain data information of target transmission towers;

[0010] S2. According to the data information obtained in step S1, a simulation software is used to simulate the state of foundation settlement and tilt to obtain a state characterization data set;

[0011] S3. For the state characterization data set obtained in step S2, a cluster analysis is performed to obtain several state centers;

[0012] S4. Real-time acquisition of basic monitoring data information of target transmission towers;

[0013] S5. Based on the correlation analysis scheme, the correlation between the basic monitoring data information obtained in step S4 and several status centers is calculated;

[0014] S6. Based on the distance determination scheme, the basic risk status of the target equal-opening transmission tower is calculated, and the basic stability monitoring of the equal-opening transmission tower is completed.

[0015] The step S1 of acquiring the data information of the target transmission tower includes the following steps:

[0016] Acquire structural information of a target transmission line tower; the structural information includes tower foundation form, tower foundation dimension data, tower leg size, tower leg structure, tower leg strength, tower leg connection method, tower body size, tower body structure, tower body strength, tower body connection method, tower head size, tower head structure, tower head strength and tower head connection method;

[0017] Obtaining environmental information of a target transmission line tower; the environmental information includes location information, terrain information, landform information and soil information of the target transmission line tower.

[0018] According to the data information obtained in step S1, the state simulation of foundation settlement and tilt is performed using simulation software to obtain a state characterization data set, which specifically includes the following steps:

[0019] According to the data information obtained in step S1, a state simulation is performed on the foundation settlement and foundation inclination of the target equal-opening transmission line using finite element simulation software to obtain a state characterization data set;

[0020] The state characterization data set includes a settlement data set and a tilt data set;

[0021] In the sedimentation data set, the format of each data is [b a ,b b ,b c,b d ], where b a is the settlement value of the first tower leg, b b is the settlement value of the second tower leg, b c is the settlement value of the third tower leg, b d is the settlement value of the fourth tower leg; the settlement value includes the foundation settlement value of one tower leg, the foundation settlement values ​​of two tower legs on one side, the foundation settlement values ​​of two diagonal tower legs and the foundation settlement values ​​of three adjacent tower legs; each settlement value corresponds to a normal state, a caution state, an abnormal state and a severe state, wherein the normal state is defined as the deformation and stress of the tower material of the target equal-open transmission line being within the set threshold and outside the set range around the set threshold, the caution state is the deformation and stress of the tower material of the target equal-open transmission line being within the set threshold and within the set range around the set threshold, the abnormal state is the deformation and stress of the tower material of the target equal-open transmission line being outside the set threshold and within the set range around the set threshold, and the severe state is the deformation and stress of the tower material of the target equal-open transmission line being outside the set threshold and outside the set range around the set threshold;

[0022] In the tilted data set, the format of each data is [b a-x ,b a-y ,b a-z ,b b-x ,b b-y ,b b-z ,b c-x ,b c-y ,b c-z ,b d-x ,b d-y ,b d-z ], where b a-x is the X-axis inclination value of the first tower leg, b a-y is the Y-axis inclination value of the first tower leg, b a-z is the Z-axis inclination value of the first tower leg, b b-x is the X-axis inclination value of the second tower leg, b b-y is the Y-axis inclination value of the second tower leg, b b-z is the Z-axis inclination value of the second tower leg, b c-x is the X-axis inclination value of the third tower leg, b c-y is the Y-axis inclination value of the third tower leg, b c-z is the Z-axis inclination value of the third tower leg, b d-x is the X-axis inclination value of the fourth tower leg, b d-y is the Y-axis inclination value of the fourth tower leg, b d-zis the Z-axis inclination value of the fourth tower leg; the inclination value includes the inclination value of one tower leg foundation, the inclination values ​​of two tower legs on one side, the inclination values ​​of two diagonal tower legs and the inclination values ​​of three adjacent tower legs; each inclination value corresponds to a normal state, a caution state, an abnormal state and a severe state, wherein the normal state is defined as the deformation and force of the tower material of the target equal-open transmission line being within the set threshold and outside the set range around the set threshold, the caution state is the deformation and force of the tower material of the target equal-open transmission line being within the set threshold and within the set range around the set threshold, the abnormal state is the deformation and force of the tower material of the target equal-open transmission line being outside the set threshold and within the set range around the set threshold, and the severe state is the deformation and force of the tower material of the target equal-open transmission line being outside the set threshold and outside the set range around the set threshold.

[0023] Step S3 uses cluster analysis to obtain a number of state centers based on the state characterization data set obtained in step S2, which specifically includes the following steps:

[0024] A. Randomly select k data points from the state representation data set obtained in step S2 as the current cluster center;

[0025] B. For each point in the data set, calculate the distance between the point and each current cluster center, and divide the point into the set to which the current cluster center with the closest distance belongs;

[0026] C. Repeat step B until all points in the data set are divided into sets, and k sets are obtained;

[0027] D. For each set, recalculate the center of the set:

[0028]

[0029] Where X i is the calculated center value of the clustering data in the i-th column; |T| is the number of all data in the set; x i is the value of the i-th column of the data in the collection;

[0030] E. Judge the center calculated in step D: if the distance between the calculated center and the center before calculation is less than the set value, the algorithm ends; if the distance between the calculated center and the center before calculation is greater than or equal to the set value, the calculated center is used as the current cluster center, and steps B to D are repeated until the distance between the calculated center and the center before calculation is less than the set value, and the algorithm ends;

[0031] Finally, k cluster centers are obtained, each of which corresponds to a state center, and each state center corresponds to a settlement or tilt state of the target transmission tower.

[0032] The real-time acquisition of basic monitoring data information of the target transmission tower described in step S4 specifically includes the following steps:

[0033] Angle sensors and settlement monitors are installed at the concrete pouring locations of the four tower legs of the target transmission tower; the angle sensors are used to monitor the offsets of the X-axis, Y-axis and Z-axis, and the settlement monitors are used to measure the settlement in the Z-axis direction;

[0034] At any time, the basic monitoring data information d of the target transmission tower can be expressed as

[0035]

[0036] Where d a-c is the settlement value of the first tower leg; d b-c is the settlement value of the second tower leg; d c-c is the settlement value of the third tower leg; d d-c is the settlement value of the fourth tower leg; d a-x is the X-axis inclination value of the first tower leg; d b-x is the X-axis inclination value of the second tower leg; d c-x is the X-axis inclination value of the third tower leg; d d-x is the X-axis inclination value of the fourth tower leg; d a-y is the Y-axis inclination value of the first tower leg; d b-y is the Y-axis inclination value of the second tower leg; d c-y is the Y-axis inclination value of the third tower leg; d d-y is the Y-axis inclination value of the fourth tower leg; d a-z is the Z-axis inclination value of the first tower leg; d b-z is the Z-axis inclination value of the second tower leg; d c-z is the Z-axis inclination value of the third tower leg; d d-z is the Z-axis tilt value of the fourth tower leg.

[0037] The step S5, based on the correlation analysis scheme, calculates the correlation between the basic monitoring data information obtained in step S4 and a number of state centers, and specifically includes the following steps:

[0038] The i-th state center C(i) is represented by C(i)={ci(1),ci(2),...,ci(m)}, where ci(m) is the value of the m-th column of the i-th state center C(i), m=16;

[0039] The basic monitoring data information d of the target transmission tower is expressed as one-dimensional row data dd, and the correlation degree γ between the basic monitoring data information d and the i-th state center is calculated by the following formula i :

[0040]

[0041] Where n is the number of variables in each state; ξ(j) is the intermediate variable, and Δ min is the minimum value among all |ci(j)-dd(j)|, Δ max is the maximum value among all |ci(j)-dd(j)|, Δ t is the value of |ci(j)-dd(j)| of the jth data, and ρ is the set resolution coefficient;

[0042] The correlation between the basic monitoring data information d and all state centers is calculated, and {γ1,γ2,...,γ k}.

[0043] The distance determination scheme described in step S6 calculates the basic risk status of the target transmission tower to complete the basic stability monitoring of the transmission tower, which specifically includes the following steps:

[0044] In a time period D, according to the correlation degree obtained in step S5, the correlation coefficient matrix E' is obtained as follows: Where M is the total number of correlation coefficients obtained in time period D;

[0045] According to the correlation coefficient matrix E', the average value of each column is calculated, and the characteristic state corresponding to the correlation coefficient with the largest average value is taken as the basic risk state judgment result of the target equal-opening transmission tower;

[0046] According to the correlation coefficient matrix E', the average value d' of each column is calculated; according to the normal, caution, abnormal and severe data μ corresponding to the basic risk status judgment results of the target transmission tower, the distance value L is calculated using the following formula:

[0047] L=(d'-μ) T ∑ -1 (d'-μ)

[0048] Where (d'-μ) T Represents the distance between variable d' and variable μ; ∑ -1 (d'-μ) is expressed as the inverse matrix of the covariance matrix of the variable d' and the variable μ;

[0049] The state value corresponding to the minimum distance value L is used as the state result of the basic risk state determination of the target transmission tower;

[0050] Finally, the monitoring of the foundation stability of the transmission towers is completed.

[0051] The present invention also provides a system for implementing the foundation stability monitoring method of the equal-opening transmission iron tower, comprising a data acquisition module, a state simulation module, a cluster analysis module, a real-time monitoring module, a correlation analysis module and a stability monitoring module; the data acquisition module, the state simulation module, the cluster analysis module, the real-time monitoring module, the correlation analysis module and the stability monitoring module are connected in series in sequence; the data acquisition module is used to acquire data information of the target equal-opening transmission iron tower, and upload the data information to the state simulation module; the state simulation module is used to use simulation software to perform state simulation of foundation settlement and inclination according to the received data information and the acquired data information, obtain a state characterization data set, and upload the data information to the cluster analysis module; the cluster analysis module is used to According to the received data information, cluster analysis is used to obtain several state centers for the obtained state characterization data set, and the data information is uploaded to the real-time monitoring module; the real-time monitoring module is used to obtain the basic monitoring data information of the target waiting-to-open transmission tower in real time according to the received data information, and upload the data information to the correlation analysis module; the correlation analysis module is used to calculate the correlation between the basic monitoring data information and several state centers based on the received data information and the correlation analysis scheme, and upload the data information to the stability monitoring module; the stability monitoring module is used to calculate the basic risk state of the target waiting-to-open transmission tower based on the received data information and the distance judgment scheme, and complete the basic stability monitoring of the waiting-to-open transmission tower.

[0052] The method and system for monitoring the foundation stability of an equal-width transmission tower provided by the present invention obtain various state center points of the foundation of the equal-width transmission tower through simulation analysis, monitor the basic data of the equal-width transmission tower in real time, and realize foundation monitoring based on the distance between the acquired data and the various state center points; therefore, the scheme of the present invention can not only realize the monitoring of the foundation stability of the equal-width transmission tower, but also has higher reliability, better accuracy and higher efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 The figure is a schematic diagram of the method flow of the present invention.

[0054] Figure 2 The figure is a schematic diagram of the arrangement of sensors in the method of the present invention.

[0055] Figure 3 Schematic diagram of the functional modules of the system of the present invention. DETAILED DESCRIPTION

[0056] like Figure 1 The method flow chart of the method of the present invention is shown as follows: The foundation stability monitoring method of the equal-opening transmission tower disclosed in the present invention comprises the following steps:

[0057] S1. Obtaining data information of target transmission towers; specifically comprising the following steps:

[0058] Acquire structural information of a target transmission line tower; the structural information includes tower foundation form, tower foundation dimension data, tower leg size, tower leg structure, tower leg strength, tower leg connection method, tower body size, tower body structure, tower body strength, tower body connection method, tower head size, tower head structure, tower head strength and tower head connection method;

[0059] Acquire environmental information of the target transmission line tower; the environmental information includes location information, terrain information, geomorphic information and soil information of the target transmission line tower;

[0060] S2. According to the data information obtained in step S1, a simulation software is used to simulate the state of foundation settlement and tilt to obtain a state characterization data set; specifically comprising the following steps:

[0061] According to the data information obtained in step S1, a state simulation is performed on the foundation settlement and foundation inclination of the target equal-opening transmission line using finite element simulation software to obtain a state characterization data set;

[0062] The state characterization data set includes a settlement data set and a tilt data set;

[0063] In the sedimentation data set, the format of each data is [b a ,b b ,b c ,b d ], where b a is the settlement value of the first tower leg, b b is the settlement value of the second tower leg, b c is the settlement value of the third tower leg, b d is the settlement value of the fourth tower leg; the settlement values ​​include the foundation settlement value of one tower leg (there are four sets of data, corresponding to four tower legs), the foundation settlement value of two tower legs on one side (there are four sets of data, corresponding to the tower surface on four sides), the foundation settlement value of two diagonal tower legs (there are two sets of data, corresponding to two diagonal tower leg groups) and the foundation settlement value of three adjacent tower legs (there are four sets of data, corresponding to four situations, in Figure 2In the figure, the corresponding ones are ABC leg group, BCD leg group, CDA leg group and DAB leg group); each settlement value corresponds to normal state, caution state, abnormal state and severe state, wherein the normal state is defined as the deformation and stress of the tower material of the target equal-open transmission line being within the set threshold and outside the set range around the set threshold, the caution state is the deformation and stress of the tower material of the target equal-open transmission line being within the set threshold and within the set range around the set threshold, the abnormal state is the deformation and stress of the tower material of the target equal-open transmission line being outside the set threshold and within the set range around the set threshold, and the severe state is the deformation and stress of the tower material of the target equal-open transmission line being outside the set threshold and outside the set range around the set threshold;

[0064] In the tilted data set, the format of each data is [b a-x ,b a-y ,b a-z ,b b-x ,b b-y ,b b-z ,b c-x ,b c-y ,b c-z ,b d-x ,b d-y ,b d-z ], where b a-x is the X-axis inclination value of the first tower leg, b a-y is the Y-axis inclination value of the first tower leg, b a-z is the Z-axis inclination value of the first tower leg, b b-x is the X-axis inclination value of the second tower leg, b b-y is the Y-axis inclination value of the second tower leg, b b-z is the Z-axis inclination value of the second tower leg, b c-x is the X-axis inclination value of the third tower leg, b c-y is the Y-axis inclination value of the third tower leg, b c-z is the Z-axis inclination value of the third tower leg, b d-x is the X-axis inclination value of the fourth tower leg, b d-y is the Y-axis inclination value of the fourth tower leg, b d-zis the Z-axis inclination value of the fourth tower leg; the inclination value includes the inclination value of one tower leg foundation, the inclination values ​​of two tower legs on one side, the inclination values ​​of two diagonal tower legs and the inclination values ​​of three adjacent tower legs; each inclination value corresponds to a normal state, a caution state, an abnormal state and a severe state, wherein the normal state is defined as the deformation and force of the tower material of the target equal-open transmission line being within the set threshold and outside the set range around the set threshold, the caution state is the deformation and force of the tower material of the target equal-open transmission line being within the set threshold and within the set range around the set threshold, the abnormal state is the deformation and force of the tower material of the target equal-open transmission line being outside the set threshold and within the set range around the set threshold, and the severe state is the deformation and force of the tower material of the target equal-open transmission line being outside the set threshold and outside the set range around the set threshold;

[0065] S3. For the state characterization data set obtained in step S2, a cluster analysis is performed to obtain several state centers; specifically, the steps include:

[0066] A. Randomly select k data points from the state representation data set obtained in step S2 as the current cluster center;

[0067] B. For each point in the data set, calculate the distance between the point and each current cluster center, and divide the point into the set to which the current cluster center with the closest distance belongs;

[0068] C. Repeat step B until all points in the data set are divided into sets, and k sets are obtained;

[0069] D. For each set, recalculate the center of the set:

[0070]

[0071] Where X i is the calculated center value of the clustering data in the i-th column; |T| is the number of all data in the set; x i is the value of the i-th column of the data in the collection;

[0072] E. Judge the center calculated in step D: if the distance between the calculated center and the center before calculation is less than the set value, it means that the position of the recalculated center has not changed much and tends to be stable or converged. At this time, it can be considered that the clustering has achieved the desired result, and the clustering algorithm ends; if the distance between the calculated center and the center before calculation is greater than or equal to the set value, the calculated center is used as the current clustering center, and steps B to D are repeated until the distance between the calculated center and the center before calculation is less than the set value, and the algorithm ends;

[0073] Finally, k cluster centers are obtained, each of which corresponds to a state center, and each state center corresponds to a state of settlement or tilt of the target transmission tower;

[0074] S4. Real-time acquisition of basic monitoring data information of target transmission towers, etc.; specifically includes the following steps:

[0075] Angle sensors and settlement monitors are installed at the concrete pouring locations of the four tower legs of the target transmission tower; the angle sensors are used to monitor the offsets of the X-axis, Y-axis and Z-axis, and the settlement monitors are used to measure the settlement in the Z-axis direction, such as Figure 2 As shown; the angle measurement requires that it can measure the XYZ three axes with an accuracy of ±0.25°, a resolution of ±0.01°, and a measurement range of up to ±180°; the settlement measurement requires that it can measure the relative settlement between the foundations of each tower leg, with a measurement range of 0 to 200mm in the Z-axis direction and a measurement accuracy of ±0.1mm;

[0076] At any time, the basic monitoring data information d of the target transmission tower can be expressed as

[0077]

[0078] Where d a-c is the settlement value of the first tower leg; d b-c is the settlement value of the second tower leg; d c-c is the settlement value of the third tower leg; d d-c is the settlement value of the fourth tower leg; d a-x is the X-axis inclination value of the first tower leg; d b-x is the X-axis inclination value of the second tower leg; d c-x is the X-axis inclination value of the third tower leg; d d-x is the X-axis inclination value of the fourth tower leg; d a-y is the Y-axis inclination value of the first tower leg; d b-y is the Y-axis inclination value of the second tower leg; d c-y is the Y-axis inclination value of the third tower leg; d d-y is the Y-axis inclination value of the fourth tower leg; d a-z is the Z-axis inclination value of the first tower leg; d b-z is the Z-axis inclination value of the second tower leg; d c-z is the Z-axis inclination value of the third tower leg; d d-z is the Z-axis tilt value of the fourth tower leg;

[0079] S5. Based on the correlation analysis scheme, the correlation between the basic monitoring data information obtained in step S4 and several status centers is calculated; specifically comprising the following steps:

[0080] The i-th state center C(i) is represented by C(i)={ci(1),ci(2),...,ci(m)}, where ci(m) is the value of the m-th column of the i-th state center C(i), m=16;

[0081] The basic monitoring data information d of the target transmission tower is expressed as one-dimensional row data dd, and the correlation degree γ between the basic monitoring data information d and the i-th state center is calculated by the following formula i :

[0082]

[0083] Where n is the number of variables in each state; ξ(j) is the intermediate variable, and Δ min is the minimum value among all |ci(j)-dd(j)|, Δ max is the maximum value among all |ci(j)-dd(j)|, Δ t is the value of |ci(j)-dd(j)| of the jth data, and ρ is the set resolution coefficient;

[0084] The correlation between the basic monitoring data information d and all state centers is calculated, and {γ1,γ2,...,γ k};

[0085] S6. Based on the distance determination scheme, the basic risk status of the target transmission tower is calculated, and the basic stability monitoring of the transmission tower is completed; specifically, the steps include:

[0086] In a time period D, according to the correlation degree obtained in step S5, the correlation coefficient matrix E' is obtained as follows: Where M is the total number of correlation coefficients obtained in time period D;

[0087] According to the correlation coefficient matrix E', the average value of each column is calculated, and the characteristic state corresponding to the correlation coefficient with the largest average value is taken as the basic risk state judgment result of the target equal-opening transmission tower;

[0088] According to the correlation coefficient matrix E', the average value d' of each column is calculated; according to the normal, caution, abnormal and severe data μ corresponding to the basic risk status judgment results of the target transmission tower, the distance value L is calculated using the following formula:

[0089] L=(d'-μ) T ∑ -1 (d'-μ)

[0090] Where (d'-μ) T Represents the distance between variable d' and variable μ; ∑ -1(d'-μ) is expressed as the inverse matrix of the covariance matrix of the variable d' and the variable μ;

[0091] The state value corresponding to the minimum distance value L is used as the state result of the basic risk state determination of the target transmission tower;

[0092] Finally, the monitoring of the foundation stability of the transmission towers is completed.

[0093] The method of the present invention is further described below in conjunction with a specific embodiment:

[0094] Collect environmental information, including stepped foundation, dimensions including the length, width and height of each module, tower leg length and width, tower body height and opening, tower head dimensions, angle steel connection structure, angle steel strength, etc. The terrain where the tower is located is flat, the height and slope of the tower at the location, the soil stratum lithology is plain fill, sandy clay soil, granite, including stratum lithology thickness information, etc.;

[0095] The simulation model is established through finite element simulation software. Specifically, since the main angle steel of the transmission line in this embodiment is mostly connected by multiple bolts, a beam-truss hybrid model can be selected to construct a tower model, where the X-axis is perpendicular to the transmission line, the Y-axis is parallel to the transmission line, and the Z-axis is vertically downward; a tower foundation model is established; the CAD terrain contour lines of the slope to which the specific transmission tower foundation belongs are imported into the software, and the ground surface is automatically generated. According to the rock and soil type, a three-dimensional slope model can be obtained by expanding along the Z axis, and then a rock and soil constitutive model is generated in combination with the rock type;

[0096] Tower settlement simulation: Specifically, the data sets under normal, caution, abnormal and severe conditions are simulated respectively. Assuming that settlement of 10mm is normal, 20mm is caution, 30mm is abnormal and 40mm is severe, the selectable simulation step size is 1mm settlement, ranging from 0-59mm, with a total of 60 sets of data.

[0097] Tower inclination simulation: The data sets under normal, caution, abnormal and severe conditions are simulated respectively. Assuming that the four conditions are covered, there are 80 sets of data in total, including the inclination of 1 tower leg foundation, the inclination of 2 tower leg foundations on one side, the inclination of 2 diagonal tower leg foundations and the inclination of 3 tower leg foundations. At the same time, this embodiment does not consider the situation where the 3 diagonal tower leg foundations are tilted in different directions, but only considers the situation where the 3 diagonal tower legs are tilted in one direction.

[0098] Then cluster analysis was performed: 14 cluster centers were set, and finally 14 state centers were obtained;

[0099] Acquire the monitoring information of the target transmission tower in real time; taking settlement as an example, the correlation coefficients with 14 state centers are calculated to be [0.2, 0.8, 0.1, 0.2, 0.3, 0.1, 0.1, 0.1, 0.1, 0.1, 0.2, 0.3, 0.1, 0.1];

[0100] The calculated correlation coefficient matrix E' is [0.25, 0.82, 0.11, 0.12, 0.23, 0.11, 0.09, 0.12, 0.09, 0.13, 0.24, 0.28, 0.11, 0.08], which represents the correlation coefficient of each cluster center under the time series. Then, the characteristic state is determined according to the correlation coefficient of the maximum value. In this series, the second data is the largest, which means that the B leg of the tower leg foundation has settled.

[0101] In addition, if there is no particularly obvious maximum value, or there are several extreme values ​​that are not much different, such as the settlement of the B leg of one tower leg foundation, and the tilt of the two diagonal tower leg foundations (BD along X), then it is a collection of multiple states, reflecting the various unstable conditions of the tower;

[0102] Then, if there is a state where the B leg of one tower leg foundation is settled and the two diagonal tower leg foundations (BD along X) are tilted, the corresponding Mahalanobis distances are respectively, and the distance values ​​L are calculated to be [2,3,0.2,3] and [4,0.1,2,3]; therefore, it can be obtained that the target equal-opening transmission tower is in an abnormal state of B leg settlement and BD leg is tilted along X. Correspondingly, in subsequent inspections and monitoring, the B leg of the tower needs to be monitored intensively.

[0103] like Figure 3The functional module schematic diagram of the system of the present invention is shown as follows: the system disclosed in the present invention for realizing the foundation stability monitoring method of the equal-opening transmission tower comprises a data acquisition module, a state simulation module, a cluster analysis module, a real-time monitoring module, a correlation analysis module and a stability monitoring module; the data acquisition module, the state simulation module, the cluster analysis module, the real-time monitoring module, the correlation analysis module and the stability monitoring module are connected in series in sequence; the data acquisition module is used to acquire data information of the target equal-opening transmission tower, and upload the data information to the state simulation module; the state simulation module is used to perform state simulation of foundation settlement and inclination using simulation software according to the received data information and the acquired data information, obtain a state characterization data set, and upload the data information to the cluster analysis module ; The cluster analysis module is used to obtain several state centers by cluster analysis for the obtained state characterization data set according to the received data information, and upload the data information to the real-time monitoring module; the real-time monitoring module is used to obtain the basic monitoring data information of the target waiting-to-open transmission tower in real time according to the received data information, and upload the data information to the correlation analysis module; the correlation analysis module is used to calculate the correlation between the basic monitoring data information and several state centers according to the received data information based on the correlation analysis scheme, and upload the data information to the stability monitoring module; the stability monitoring module is used to calculate the basic risk state of the target waiting-to-open transmission tower based on the received data information and the distance judgment scheme, and complete the basic stability monitoring of the waiting-to-open transmission tower.

Claims

1. A method for monitoring the foundation stability of an isotropic transmission tower, comprising the following steps: S1. Obtain data information of target transmission towers; S2. According to the data information obtained in step S1, a simulation software is used to simulate the state of foundation settlement and tilt to obtain a state characterization data set; S3. For the state characterization data set obtained in step S2, a cluster analysis is performed to obtain several state centers; S4. Real-time acquisition of basic monitoring data information of target transmission towers; S5. Based on the correlation analysis scheme, the correlation between the basic monitoring data information obtained in step S4 and several status centers is calculated; S6. Based on the distance determination scheme, the basic risk status of the target equal-opening transmission tower is calculated, and the basic stability monitoring of the equal-opening transmission tower is completed.

2. The method for monitoring the foundation stability of an equal-length transmission tower according to claim 1, characterized in that The step S1 of acquiring the data information of the target transmission tower includes the following steps: Acquire structural information of a target transmission line tower; the structural information includes tower foundation form, tower foundation dimension data, tower leg size, tower leg structure, tower leg strength, tower leg connection method, tower body size, tower body structure, tower body strength, tower body connection method, tower head size, tower head structure, tower head strength and tower head connection method; Obtaining environmental information of a target transmission line tower; the environmental information includes location information, terrain information, landform information and soil information of the target transmission line tower.

3. The method for monitoring the foundation stability of an equal-length transmission tower according to claim 2 is characterized in that According to the data information obtained in step S1, the state simulation of foundation settlement and tilt is performed using simulation software to obtain a state characterization data set, which specifically includes the following steps: According to the data information obtained in step S1, a state simulation is performed on the foundation settlement and foundation inclination of the target equal-opening transmission line using finite element simulation software to obtain a state characterization data set; The state characterization data set includes a settlement data set and a tilt data set; In the sedimentation data set, the format of each data is [b a ,b b ,b c ,b d ], where b a is the settlement value of the first tower leg, b b is the settlement value of the second tower leg, b c is the settlement value of the third tower leg, b d is the settlement value of the fourth tower leg; the settlement value includes the foundation settlement value of one tower leg, the foundation settlement values ​​of two tower legs on one side, the foundation settlement values ​​of two diagonal tower legs and the foundation settlement values ​​of three adjacent tower legs; each settlement value corresponds to a normal state, a caution state, an abnormal state and a severe state, wherein the normal state is defined as the deformation and stress of the tower material of the target equal-open transmission line being within the set threshold and outside the set range around the set threshold, the caution state is the deformation and stress of the tower material of the target equal-open transmission line being within the set threshold and within the set range around the set threshold, the abnormal state is the deformation and stress of the tower material of the target equal-open transmission line being outside the set threshold and within the set range around the set threshold, and the severe state is the deformation and stress of the tower material of the target equal-open transmission line being outside the set threshold and outside the set range around the set threshold; In the tilted data set, the format of each data is [b a-x ,b a-y ,b a-z ,b b-x ,b b-y ,b b-z ,b c-x ,b c-y ,b c-z ,b d-x ,b d-y ,b d-z ], where b a-x is the X-axis inclination value of the first tower leg, b a-y is the Y-axis inclination value of the first tower leg, b a-z is the Z-axis inclination value of the first tower leg, b b-x is the X-axis inclination value of the second tower leg, b b-y is the Y-axis inclination value of the second tower leg, b b-z is the Z-axis inclination value of the second tower leg, b c-x is the X-axis inclination value of the third tower leg, b c-y is the Y-axis inclination value of the third tower leg, b c-z is the Z-axis inclination value of the third tower leg, b d-x is the X-axis inclination value of the fourth tower leg, b d-y is the Y-axis inclination value of the fourth tower leg, b d-z is the Z-axis inclination value of the fourth tower leg; the inclination value includes the inclination value of one tower leg foundation, the inclination values ​​of two tower legs on one side, the inclination values ​​of two diagonal tower legs and the inclination values ​​of three adjacent tower legs; each inclination value corresponds to a normal state, a caution state, an abnormal state and a severe state, wherein the normal state is defined as the deformation and force of the tower material of the target equal-open transmission line being within the set threshold and outside the set range around the set threshold, the caution state is the deformation and force of the tower material of the target equal-open transmission line being within the set threshold and within the set range around the set threshold, the abnormal state is the deformation and force of the tower material of the target equal-open transmission line being outside the set threshold and within the set range around the set threshold, and the severe state is the deformation and force of the tower material of the target equal-open transmission line being outside the set threshold and outside the set range around the set threshold.

4. The method for monitoring the foundation stability of an equal-length transmission tower according to claim 3 is characterized in that Step S3 uses cluster analysis to obtain a number of state centers based on the state characterization data set obtained in step S2, which specifically includes the following steps: A. Randomly select k data points from the state representation data set obtained in step S2 as the current cluster center; B. For each point in the data set, calculate the distance between the point and each current cluster center, and divide the point into the set to which the current cluster center with the closest distance belongs; C. Repeat step B until all points in the data set are divided into sets, and k sets are obtained; D. For each set, recalculate the center of the set: Where X i is the calculated center value of the clustering data in the i-th column; |T| is the number of all data in the set; x i is the value of the i-th column of the data in the collection; E. Judge the center calculated in step D: if the distance between the calculated center and the center before calculation is less than the set value, the algorithm ends; if the distance between the calculated center and the center before calculation is greater than or equal to the set value, the calculated center is used as the current cluster center, and steps B to D are repeated until the distance between the calculated center and the center before calculation is less than the set value, and the algorithm ends; Finally, k cluster centers are obtained, each of which corresponds to a state center, and each state center corresponds to a settlement or tilt state of the target transmission tower.

5. The method for monitoring the foundation stability of an equal-length transmission tower according to claim 4 is characterized in that The real-time acquisition of basic monitoring data information of the target transmission tower described in step S4 specifically includes the following steps: Angle sensors and settlement monitors are installed at the concrete pouring locations of the four tower legs of the target transmission tower; the angle sensors are used to monitor the offsets of the X-axis, Y-axis and Z-axis, and the settlement monitors are used to measure the settlement in the Z-axis direction; At any time, the basic monitoring data information d of the target transmission tower can be expressed as Where d a-c is the settlement value of the first tower leg; d b-c is the settlement value of the second tower leg; d c-c is the settlement value of the third tower leg; d d-c is the settlement value of the fourth tower leg; d a-x is the X-axis inclination value of the first tower leg; d b-x is the X-axis inclination value of the second tower leg; d c-x is the X-axis inclination value of the third tower leg; d d-x is the X-axis inclination value of the fourth tower leg; d a-y is the Y-axis inclination value of the first tower leg; d b-y is the Y-axis inclination value of the second tower leg; d c-y is the Y-axis inclination value of the third tower leg; d d-y is the Y-axis inclination value of the fourth tower leg; d a-z is the Z-axis inclination value of the first tower leg; d b-z is the Z-axis inclination value of the second tower leg; d c-z is the Z-axis inclination value of the third tower leg; d d-z is the Z-axis tilt value of the fourth tower leg.

6. The method for monitoring the foundation stability of an evenly spaced transmission tower according to claim 5 is characterized in that The step S5, based on the correlation analysis scheme, calculates the correlation between the basic monitoring data information obtained in step S4 and a number of state centers, specifically including the following steps: The i-th state center C(i) is represented by C(i)={ci(1),ci(2),...,ci(m)}, where ci(m) is the value of the m-th column of the i-th state center C(i), m=16; The basic monitoring data information d of the target transmission tower is expressed as one-dimensional row data dd, and the correlation degree γ between the basic monitoring data information d and the i-th state center is calculated by the following formula i : Where n is the number of variables in each state; ξ(j) is the intermediate variable, and Δ min is the minimum value among all |ci(j)-dd(j)|, Δ max is the maximum value among all |ci(j)-dd(j)|, Δ t is the value of |ci(j)-dd(j)| of the jth data, and ρ is the set resolution coefficient; The correlation between the basic monitoring data information d and all state centers is calculated, and {γ1,γ2,...,γ k }.

7. The method for monitoring the foundation stability of an evenly spaced transmission tower according to claim 6 is characterized in that The distance determination scheme described in step S6 calculates the basic risk status of the target transmission tower to complete the basic stability monitoring of the transmission tower, which specifically includes the following steps: In a time period D, according to the correlation degree obtained in step S5, the correlation coefficient matrix E' is obtained as follows: Where M is the total number of correlation coefficients obtained in time period D; According to the correlation coefficient matrix E', the average value of each column is calculated, and the characteristic state corresponding to the correlation coefficient with the largest average value is taken as the basic risk state judgment result of the target equal-opening transmission tower; According to the correlation coefficient matrix E', the average value d' of each column is calculated; according to the normal, caution, abnormal and severe data μ corresponding to the basic risk status judgment results of the target transmission tower, the distance value L is calculated using the following formula: L=(d'-μ) T ∑ -1 (d'-m) Where (d'-μ) T Represents the distance between variable d' and variable μ; ∑ -1 (d'-μ) is expressed as the inverse matrix of the covariance matrix of the variable d' and the variable μ; The state value corresponding to the minimum distance value L is used as the state result of the basic risk state determination of the target transmission tower; Finally, the monitoring of the foundation stability of the transmission towers is completed.

8. A system for implementing the method for monitoring the foundation stability of an evenly spaced transmission tower according to any one of claims 1 to 7, characterized in that It includes a data acquisition module, a state simulation module, a cluster analysis module, a real-time monitoring module, a correlation analysis module and a stability monitoring module; the data acquisition module, the state simulation module, the cluster analysis module, the real-time monitoring module, the correlation analysis module and the stability monitoring module are connected in series in sequence; the data acquisition module is used to obtain data information of the target transmission tower, and upload the data information to the state simulation module; the state simulation module is used to use simulation software to perform state simulation of foundation settlement and tilt according to the received data information and the acquired data information, obtain a state characterization data set, and upload the data information to the cluster analysis module; The cluster analysis module is used to obtain several state centers by cluster analysis based on the received data information and the obtained state representation data set, and upload the data information to the real-time monitoring module; The real-time monitoring module is used to obtain the basic monitoring data information of the target transmission tower in real time according to the received data information, and upload the data information to the correlation analysis module; The correlation analysis module is used to calculate the correlation between the basic monitoring data information and several status centers based on the received data information and the correlation analysis scheme, and upload the data information to the stability monitoring module; The stability monitoring module is used to calculate the basic risk status of the target transmission tower according to the received data information and based on the distance judgment scheme, and complete the basic stability monitoring of the transmission tower.

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