A digital-based intelligent monitoring and analysis system for smart transportation facility faults

Abstract

The present invention discloses a digital-based intelligent monitoring and analysis system for faults of smart traffic facilities. The present invention obtains basic parameters of underground lines of each traffic light, and obtains the underground line fault coefficient of each traffic light by analyzing the basic parameters of the underground lines of each traffic light. At the same time, the support pole frame fault coefficient, display screen fault coefficient and camera fault coefficient of each traffic light are obtained, and the lamp post fault coefficient of each traffic light is obtained by processing. The underground line fault coefficient and the lamp post fault coefficient of each traffic light are comprehensively analyzed to obtain the comprehensive fault index of each traffic light, and corresponding processing is performed, thereby realizing all-round visual monitoring of road traffic lights, improving the accuracy and reliability of traffic light fault monitoring results, being able to timely discover traffic light faults and effectively solve them, and providing guarantees for improving road traffic safety and road use efficiency.

Description

Technical Field

[0001] The present invention relates to the field of traffic facility fault monitoring and analysis, and in particular to a digital-based intelligent traffic facility fault intelligent monitoring and analysis system. Background Art

[0002] With the development of economy and the acceleration of urbanization, the number of motor vehicles has increased dramatically, which has caused increasingly serious traffic problems, such as traffic congestion, frequent traffic accidents and reduced efficiency of public transportation systems. In order to solve this series of problems, it is necessary to implement traffic control and management under the existing road traffic conditions and give full play to the traffic capacity of existing roads.

[0003] Road traffic lights are a type of traffic safety product. They are an important tool for strengthening road traffic management, reducing traffic accidents, improving road use efficiency and improving traffic conditions. The normal operation of road traffic lights directly affects road safety and road use efficiency. Therefore, it is of great significance to monitor and analyze traffic light failures.

[0004] At present, the existing method for monitoring and analyzing road traffic signal light failures mainly relies on road traffic management personnel to check the working status of traffic signal lights. This method is simple and direct, but has the following defects:

[0005] On the one hand, the existing technology for monitoring traffic signal failures mainly focuses on road light poles, ignoring the monitoring of underground line failures. There are problems such as monitoring blind spots, surface wear of underground lines and humid environment of underground line pipelines, which bring hidden dangers to the normal operation of traffic signals.

[0006] On the other hand, the existing technology monitors the light poles in traffic lights by only monitoring the on and off status of the lights, without further analyzing whether the lights are displayed correctly. At the same time, there is a lack of monitoring of the traffic light support poles and cameras, which greatly reduces the accuracy and reliability of traffic light fault monitoring results. Summary of the invention

[0007] In view of the above problems, the present invention proposes a digital-based intelligent traffic facility fault monitoring and analysis system to realize the function of traffic facility fault monitoring and analysis.

[0008] The technical solution adopted by the present invention to solve the technical problem is:

[0009] The present invention provides a digital-based intelligent traffic facility fault intelligent monitoring and analysis system, comprising:

[0010] The traffic light numbering module is used to obtain the position of each traffic light on the urban road to be monitored, and number each traffic light on the urban road to be monitored as 1, 2, ..., i, ..., n according to a preset order;

[0011] The traffic signal light information database is used to store the standard display values ​​of various timers on the display screens of each traffic signal light at each time and the standard tilt angles of each camera of each traffic signal light;

[0012] The underground line basic parameter acquisition module is used to obtain the basic parameters of each traffic light underground line, wherein the basic parameters include the total length of cracks on the main line surface, the total length of cracks on the branch line surface, the total damaged area on the main line surface, the total damaged area on the branch line surface, the concentration of burnt gas in the pipeline, and the humidity of the pipeline;

[0013] The underground line basic parameter analysis module is used to analyze the basic parameters of the underground lines of each traffic light and obtain the underground line fault coefficient of each traffic light;

[0014] The light pole basic parameter acquisition module is used to obtain the basic parameters of the light poles of each traffic light;

[0015] The lamp post basic parameter processing module is used to process the lamp post failure coefficient of each traffic light according to the basic parameters of the lamp post of each traffic light;

[0016] The traffic facility comparison warning module is used to obtain the comprehensive fault index of each traffic light according to the underground line fault coefficient and the light pole fault coefficient of each traffic light, and perform corresponding processing.

[0017] On the basis of the above-mentioned embodiment, the basic parameters of each underground line of the traffic light are obtained in the underground line basic parameters acquisition module, and the specific steps are as follows:

[0018] Through the high-definition cameras arranged in the underground pipelines of each traffic light, the images of the main lines and branch lines of the underground lines of each traffic light are collected;

[0019] Through the images of each main line of each traffic light underground line, the total length of surface cracks and the total surface damage area of ​​the main line in each traffic light underground line are analyzed and recorded as and

[0020] Through the image of each branch line of each traffic light underground line, the total surface crack length and total surface damage area of ​​the branch line in each traffic light underground line are analyzed and recorded as and

[0021] Through the combined gas sensors arranged in the underground pipelines of each traffic light, the concentrations of various gases in the pipelines of each traffic light underground line are collected, and the concentration of burnt gas in the pipelines of each traffic light underground line is screened and recorded as

[0022] The humidity in the pipeline of each traffic light underground line is detected by the humidity sensor arranged in the pipeline of each traffic light underground line, and the pipeline humidity of each traffic light underground line is obtained, which is recorded as

[0023] On the basis of the above-mentioned embodiment, the underground line basic parameter analysis module obtains the underground line fault coefficient of each traffic light, and the specific method is as follows:

[0024] By analyzing the formula Get the underground line fault coefficient α of each traffic light i , where l 裂设 Indicates the preset allowable line crack length, s 损设 represents the preset allowable line damage area, ρ 焦阈 represents the preset safety pipeline burnt gas concentration threshold, ρ 湿阈 represents the preset safety pipeline humidity threshold, and χ1, χ2, χ3, χ4, χ5, and χ6 are the preset weight factors of the main line crack length, branch line crack length, main line damaged area, branch line damaged area, pipeline burnt gas concentration, and pipeline humidity, respectively.

[0025] On the basis of the above-mentioned embodiment, the lamp post basic parameter acquisition module includes a support rod frame parameter acquisition unit, a display screen parameter acquisition unit and a camera parameter acquisition unit.

[0026] On the basis of the above-mentioned embodiment, the support rod frame parameter acquisition unit is used to obtain the total crack length, deformation amount and total adhered foreign matter area of ​​each traffic light support rod frame, and the specific steps are as follows:

[0027] The surface of each traffic light support pole is monitored by a high-definition camera to obtain a surface image of each traffic light support pole;

[0028] The total crack length of each traffic light support rod is obtained by analyzing the surface image of each traffic light support rod, which is recorded as

[0029] The depth of each depression of each traffic light support pole is detected by a laser rangefinder to obtain the deformation of each traffic light support pole;

[0030] Through the surface image of each traffic light support rod rack, the images of each adhered foreign matter on each traffic light support rod rack are obtained, and the total adhered foreign matter area of ​​each traffic light support rod rack is obtained by analysis, which is recorded as

[0031] On the basis of the above embodiment, the display screen parameter acquisition unit is used to obtain the signal light operation abnormality coefficient, the direction light operation abnormality coefficient, the countdown abnormality coefficient, the digital display misalignment coefficient, the signal light brightness abnormality coefficient and the direction light brightness abnormality coefficient of each traffic light display screen, and the specific steps are:

[0032] D1: Monitor each traffic light display screen through a camera to obtain video recordings of each traffic light display screen;

[0033] D2: Analyze the working status of each signal light on each traffic light display screen through the video recording of each traffic light display screen. If a signal light on a traffic light display screen is not on, the signal light on the traffic light display screen is recorded as an abnormal signal light. Filter out the abnormal signal lights on each traffic light display screen, and count the number of abnormal signal lights on each traffic light display screen, which is recorded as By analyzing the formula Get the signal light abnormality coefficient δ of each traffic light display screen i ,in represents the total number of signal lights of the preset i-th traffic signal light display screen, and ε represents the correction factor of the abnormality coefficient of the signal lights of the preset traffic signal light display screen;

[0034] D3: Similarly, according to the analysis method of the abnormal working coefficient of the signal lights of each traffic light display screen, the abnormal working coefficient of the direction lights of each traffic light display screen is obtained. i ;

[0035] D4: Obtain the video of each timer on each traffic light display screen through the video recording of each traffic light display screen, and analyze to obtain the images of each timer on each traffic light display screen at each moment, perform image processing on the images of each timer on each traffic light display screen at each moment, obtain the countdown start value, the display value at each moment, and the number of displayed values ​​of each timer on each traffic light display screen, and record the countdown start value and the total number of displayed values ​​of each timer on each traffic light display screen as and g represents the g-th type of timer, g = 1, 2, 3. The values ​​displayed on each timer on each traffic light display screen at each time are compared with the standard values ​​displayed on each timer on each traffic light display screen at each time stored in the traffic light information database. The number of abnormal display values ​​of each timer on each traffic light display screen is obtained by analysis and recorded as

[0036] By analyzing the formula Get the countdown anomaly coefficient φ of each traffic light display screen i ,in Indicates the countdown standard starting value of the g-th type timer on the preset i-th traffic light display screen, Indicates the countdown abnormal coefficient correction factor of the preset traffic light display screen;

[0037] D5: By analyzing the formula Get the digital display inaccuracy coefficient γ of each traffic light display screen i , where η represents the preset digital display misalignment coefficient correction factor of the traffic signal light display screen;

[0038] D6: Use a brightness meter to detect the brightness of each light on each traffic light display screen to obtain the brightness of each light on each traffic light display screen, and record the brightness of each light on each traffic light display screen as j represents the number of the jth signal light, j = 1, 2, ..., m, by analyzing the formula Get the abnormal brightness coefficient κ of each traffic light display screen i , where L 标 represents the standard brightness of the signal light of the preset traffic light display screen, and λ represents the correction factor of the abnormality coefficient of the brightness of the signal light of the preset traffic light display screen;

[0039] D7: Similarly, according to the signal light brightness abnormality coefficient analysis method of each traffic light display screen, the brightness abnormality coefficient of the direction light of each traffic light display screen is obtained.

[0040] On the basis of the above embodiment, the camera parameter acquisition unit is used to obtain the angle deviation coefficient and the image blur coefficient of each traffic light camera, and the specific method is as follows:

[0041] The tilt angle of each camera of each traffic light is collected by the deployed inclinometer sensor and recorded as p represents the number of the pth camera, p = 1, 2, ..., q, and the standard tilt angle of each camera of each traffic light stored in the traffic light information database is extracted and recorded as By analyzing the formula Get the angle deviation coefficient μ of each traffic light camera i , where ν represents the angle deviation coefficient correction factor of the preset traffic light camera;

[0042] Obtain the monitoring screen images of each camera of each traffic light, obtain the area of ​​each stain in the monitoring screen images of each camera of each traffic light according to the monitoring screen images of each camera of each traffic light, and obtain the total area of ​​stain in the monitoring screen images of each camera of each traffic light by statistics, which is recorded as By analyzing the formula Get the image blur coefficient σ of each traffic light camera i , where SM 阈 Indicates the threshold of the stain area in the monitoring screen image of the preset camera. Indicates the image blur coefficient correction factor of the preset traffic light camera.

[0043] On the basis of the above-mentioned embodiment, the lamp post basic parameter processing module obtains the lamp post failure coefficient of each traffic signal lamp, and the specific steps are as follows:

[0044] F1: By analyzing the formula Get the failure coefficient of each traffic signal support pole in represents the deformation of the i-th traffic light support pole, l 杆架阈 、x 变阈 、s 粘阈 They respectively represent the threshold values ​​of the total crack length, deformation and total adhered foreign matter area of ​​the preset traffic signal light support rod frame;

[0045] F2: By analyzing the formula Get the failure coefficient of each traffic light display screen

[0046] F3: By analyzing the formula Get the failure coefficient of each traffic light camera Where b1 and b2 are the preset angle deviation coefficient and image blur coefficient weight factors of the traffic light camera respectively;

[0047] F4: The failure coefficient of each traffic signal light support pole Failure coefficient of each traffic light display and the failure coefficient of each traffic light camera Substitute into the formula Get the failure coefficient ξ of each traffic light pole i .

[0048] On the basis of the above embodiment, the traffic facility comparison warning module obtains the comprehensive fault index of each traffic light and performs corresponding processing in the specific steps of:

[0049] The underground line fault coefficient α of each traffic light i and the failure coefficient of each traffic light pole ξ i Substituting into the formula β i =ξ i *c1+α i *c2 obtains the comprehensive fault index β of each traffic light i , where c1 and c2 represent the compensation coefficients of the preset underground line fault coefficient and lamp post fault coefficient respectively;

[0050] The comprehensive fault index of each traffic light is compared with the preset standard value of the comprehensive fault index of the traffic light. If the comprehensive fault index of a traffic light is greater than the preset standard value of the comprehensive fault index of the traffic light, the traffic light is recorded as the target traffic light, the target traffic lights are screened out, the numbers of the target traffic lights are counted, and sent to the traffic management platform.

[0051] Compared with the prior art, the digital intelligent traffic facility fault intelligent monitoring and analysis system described in the present invention has the following beneficial effects:

[0052] The present invention provides a digital-based intelligent monitoring and analysis system for faults of smart traffic facilities. The system monitors the surface crack length and the damaged area of ​​the underground lines of each traffic light, and simultaneously monitors the concentration of burnt gas and the humidity in the underground line pipelines of each traffic light. The underground line fault coefficient of each traffic light is obtained by processing, thereby achieving all-round visual monitoring of road traffic lights, and making up for the deficiency of the prior art that ignores the monitoring of underground line faults.

[0053] The present invention provides a digital-based intelligent monitoring and analysis system for intelligent traffic facility faults. The system monitors and analyzes the support pole frame, display screen and camera of each traffic light, and obtains the support pole frame failure coefficient, display screen failure coefficient and camera failure coefficient of each traffic light respectively. The light pole failure coefficient of each traffic light is further obtained. The underground line failure coefficient and the light pole failure coefficient of each traffic light are combined to obtain a comprehensive fault index of each traffic light. Corresponding processing is performed according to the comprehensive fault index of each traffic light, so as to realize multi-dimensional data monitoring of traffic lights, improve the accuracy and reliability of traffic light fault monitoring results, and be able to timely discover and effectively solve traffic light faults, thereby ensuring road traffic safety and road use efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0055] Figure 1 This is a system module connection diagram of the present invention. DETAILED DESCRIPTION

[0056] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0057] See also Figure 1 As shown, the present invention provides a digital-based intelligent monitoring and analysis system for smart traffic facility faults, including a traffic signal light numbering module, a traffic signal light information database, an underground line basic parameter acquisition module, an underground line basic parameter analysis module, a lamp post basic parameter acquisition module, a lamp post basic parameter processing module and a traffic facility comparison and early warning module.

[0058] The traffic light numbering module is respectively connected to the underground line basic parameter acquisition module and the light pole basic parameter acquisition module, the underground line basic parameter analysis module is respectively connected to the underground line basic parameter acquisition module and the traffic facility comparison and early warning module, the light pole basic parameter processing module is respectively connected to the light pole basic parameter acquisition module and the traffic facility comparison and early warning module, and the traffic light information database is connected to the light pole basic parameter acquisition module.

[0059] The traffic light numbering module is used to obtain the position of each traffic light on the urban road to be monitored, and number each traffic light on the urban road to be monitored as 1, 2, ..., i, ..., n in a preset order.

[0060] The traffic light information library is used to store the standard display values ​​of various timers on the display screens of each traffic light at each time and the standard tilt angles of each camera of each traffic light.

[0061] The underground line basic parameter acquisition module is used to obtain the basic parameters of each traffic light underground line, wherein the basic parameters include the total length of cracks on the main line surface, the total length of cracks on the branch line surface, the total damaged area on the main line surface, the total damaged area on the branch line surface, the concentration of burnt gas in the pipeline and the humidity of the pipeline.

[0062] Furthermore, the underground line basic parameter acquisition module acquires the basic parameters of each underground line of the traffic light, and the specific steps are:

[0063] Through the high-definition cameras arranged in the underground pipelines of each traffic light, the images of the main lines and branch lines of the underground lines of each traffic light are collected;

[0064] Through the images of each main line of each traffic light underground line, the total length of surface cracks and the total surface damage area of ​​the main line in each traffic light underground line are analyzed and recorded as and

[0065] Through the image of each branch line of each traffic light underground line, the total surface crack length and total surface damage area of ​​the branch line in each traffic light underground line are analyzed and recorded as and

[0066] Through the combined gas sensors arranged in the underground pipelines of each traffic light, the concentrations of various gases in the pipelines of each traffic light underground line are collected, and the concentration of burnt gas in the pipelines of each traffic light underground line is screened and recorded as

[0067] The humidity in the pipeline of each traffic light underground line is detected by the humidity sensor arranged in the pipeline of each traffic light underground line, and the pipeline humidity of each traffic light underground line is obtained, which is recorded as

[0068] As a preferred solution, the specific method for screening and obtaining the concentration of burnt gas in the pipeline of each underground line of the traffic light is:

[0069] The concentrations of various gases in the pipelines of the underground lines of each traffic light are collected, and the concentration of hydrogen sulfide in the pipelines of each traffic light underground line is screened out. The concentration of hydrogen sulfide in the pipelines of each traffic light underground line is compared with the set safe hydrogen sulfide concentration. If the concentration of hydrogen sulfide in the pipelines of a certain traffic light underground line is greater than the set safe hydrogen sulfide concentration, the concentration of hydrogen sulfide in the pipelines of the traffic light underground line is recorded as the concentration of burnt gas in the pipelines of the traffic light underground line, and the concentration of burnt gas in the pipelines of each traffic light underground line is statistically obtained.

[0070] As a preferred solution, the method for obtaining the total length of surface cracks and the total surface damage area of ​​the main line in each underground line of the traffic signal lights is:

[0071] The surface crack lengths of the main lines in the underground lines of the traffic lights are obtained through the images of the main lines of the underground lines of the traffic lights, and the surface crack lengths of the main lines in the underground lines of the traffic lights are accumulated to obtain the total surface crack lengths of the main lines in the underground lines of the traffic lights;

[0072] The surface damaged area of ​​each main line in each traffic light underground line is obtained through the images of each main line of the underground line of each traffic light. The surface damaged area of ​​each main line in the underground line of each traffic light is accumulated to obtain the total surface damaged area of ​​the main line in the underground line of each traffic light.

[0073] As a preferred solution, the method for obtaining the total length of surface cracks and the total surface damage area of ​​the branch lines in the underground lines of each traffic signal light is:

[0074] The surface crack lengths of the branch lines in the underground lines of the traffic lights are obtained through the images of the branch lines of the underground lines of the traffic lights, and the surface crack lengths of the branch lines in the underground lines of the traffic lights are accumulated to obtain the total surface crack lengths of the branch lines in the underground lines of the traffic lights;

[0075] The surface damaged area of ​​each branch line in each traffic light underground line is obtained through the image of each branch line of each traffic light underground line. The surface damaged area of ​​each branch line in each traffic light underground line is accumulated to obtain the total surface damaged area of ​​the branch lines in each traffic light underground line.

[0076] The underground line basic parameter analysis module is used to analyze the basic parameters of the underground lines of each traffic light to obtain the underground line fault coefficient of each traffic light.

[0077] Furthermore, the underground line basic parameter analysis module obtains the underground line fault coefficient of each traffic light, and the specific method is as follows:

[0078] By analyzing the formula Get the underground line fault coefficient α of each traffic light i , where l 裂设 Indicates the preset allowable line crack length, s 损设 represents the preset allowable line damage area, ρ 焦阈 represents the preset safety pipeline burnt gas concentration threshold, ρ 湿阈 represents the preset safety pipeline humidity threshold, and χ1, χ2, χ3, χ4, χ5, and χ6 are the preset weight factors of the main line crack length, branch line crack length, main line damaged area, branch line damaged area, pipeline burnt gas concentration, and pipeline humidity, respectively.

[0079] It should be noted that the present invention monitors the surface crack length and the damaged area of ​​the underground line of each traffic light, and simultaneously monitors the burnt gas concentration and the humidity in the underground line pipeline of each traffic light, and obtains the underground line fault coefficient of each traffic light, thereby realizing all-round visual monitoring of road traffic lights, and making up for the deficiency of the prior art that ignores the monitoring of underground line faults.

[0080] The lamp post basic parameter acquisition module is used to acquire the basic parameters of the lamp post of each traffic signal lamp.

[0081] Furthermore, the lamp post basic parameter acquisition module includes a support rod frame parameter acquisition unit, a display screen parameter acquisition unit and a camera parameter acquisition unit.

[0082] Furthermore, the support rod frame parameter acquisition unit is used to obtain the total crack length, deformation amount and total adhered foreign matter area of ​​each traffic light support rod frame, and the specific steps are:

[0083] The surface of each traffic light support pole is monitored by a high-definition camera to obtain a surface image of each traffic light support pole;

[0084] The total crack length of each traffic light support rod is obtained by analyzing the surface image of each traffic light support rod, which is recorded as

[0085] The depth of each depression of each traffic light support pole is detected by a laser rangefinder to obtain the deformation of each traffic light support pole;

[0086] Through the surface image of each traffic light support rod rack, the images of each adhered foreign matter on each traffic light support rod rack are obtained, and the total adhered foreign matter area of ​​each traffic light support rod rack is obtained by analysis, which is recorded as

[0087] As a preferred solution, the method for obtaining the total crack length of each traffic signal light support rod frame is:

[0088] Through the surface images of each traffic light support rod frame, the images of each crack of each traffic light support rod frame are obtained, and the lengths of each crack of each traffic light support rod frame are obtained from the images of each crack of each traffic light support rod frame, and the total crack length of each traffic light support rod frame is obtained by accumulation.

[0089] As a preferred solution, the method for obtaining the deformation amount of each traffic signal light support rod frame is:

[0090] The depth of each depression of each traffic light support pole frame is detected by a laser rangefinder to obtain the depth of each depression of each traffic light support pole frame. The average value of the depth of each depression of each traffic light support pole frame is calculated to obtain the average depression depth of each traffic light support pole frame, which is recorded as the deformation amount of each traffic light support pole frame.

[0091] As a preferred solution, the method for obtaining the total adhered foreign matter area of ​​each traffic signal light support rod frame is:

[0092] Through the surface images of each traffic light support pole frame, each adhered foreign matter image of each traffic light support pole frame is obtained, and from the each adhered foreign matter image of each traffic light support pole frame, each adhered foreign matter area of ​​each traffic light support pole frame is obtained, and the each adhered foreign matter area of ​​each traffic light support pole frame is accumulated to obtain the total adhered foreign matter area of ​​each traffic light support pole frame.

[0093] Furthermore, the display screen parameter acquisition unit is used to obtain the signal light operation abnormality coefficient, the turn signal light operation abnormality coefficient, the countdown abnormality coefficient, the digital display inaccuracy coefficient, the signal light brightness abnormality coefficient and the turn signal light brightness abnormality coefficient of each traffic light display screen, and the specific steps are:

[0094] D1: Monitor each traffic light display screen through a camera to obtain video recordings of each traffic light display screen;

[0095] D2: Analyze the working status of each signal light on each traffic light display screen through the video recording of each traffic light display screen. If a signal light on a traffic light display screen is not on, the signal light on the traffic light display screen is recorded as an abnormal signal light. Filter out the abnormal signal lights on each traffic light display screen, and count the number of abnormal signal lights on each traffic light display screen, which is recorded as By analyzing the formula Get the signal light abnormality coefficient δ of each traffic light display screen i ,in represents the total number of signal lights of the preset i-th traffic signal light display screen, and ε represents the correction factor of the abnormality coefficient of the signal lights of the preset traffic signal light display screen;

[0096] D3: Similarly, according to the analysis method of the abnormal working coefficient of the signal lights of each traffic light display screen, the abnormal working coefficient of the direction lights of each traffic light display screen is obtained.

[0097] D4: Obtain the video of each timer on each traffic light display screen through the video recording of each traffic light display screen, and analyze to obtain the images of each timer on each traffic light display screen at each moment, perform image processing on the images of each timer on each traffic light display screen at each moment, obtain the countdown start value, the display value at each moment, and the number of displayed values ​​of each timer on each traffic light display screen, and record the countdown start value and the total number of displayed values ​​of each timer on each traffic light display screen as and g represents the g-th type of timer, g = 1, 2, 3. The values ​​displayed on each timer on each traffic light display screen at each time are compared with the standard values ​​displayed on each timer on each traffic light display screen at each time stored in the traffic light information database. The number of abnormal display values ​​of each timer on each traffic light display screen is obtained by analysis and recorded as

[0098] By analyzing the formula Get the countdown anomaly coefficient φ of each traffic light display screen i ,in Indicates the countdown standard starting value of the g-th type timer on the preset i-th traffic light display screen, Indicates the countdown abnormal coefficient correction factor of the preset traffic light display screen;

[0099] D5: By analyzing the formula Get the digital display inaccuracy coefficient γ of each traffic light display screen i , where η represents the preset digital display misalignment coefficient correction factor of the traffic signal light display screen;

[0100] D6: Use a brightness meter to detect the brightness of each light on each traffic light display screen to obtain the brightness of each light on each traffic light display screen, and record the brightness of each light on each traffic light display screen as j represents the number of the jth signal light, j = 1, 2, ..., m, by analyzing the formula Get the abnormal brightness coefficient κ of each traffic light display screen i , where L 标 represents the standard brightness of the signal light of the preset traffic light display screen, and λ represents the correction factor of the abnormality coefficient of the brightness of the signal light of the preset traffic light display screen;

[0101] D7: Similarly, according to the signal light brightness abnormality coefficient analysis method of each traffic light display screen, the brightness abnormality coefficient of the direction light of each traffic light display screen is obtained.

[0102] As a preferred solution, the various types of timers respectively represent a red light timer, a green light timer and a yellow light timer.

[0103] Furthermore, the camera parameter acquisition unit is used to obtain the angle deviation coefficient and the image blur coefficient of each traffic light camera, and the specific method is:

[0104] The tilt angle of each camera of each traffic light is collected by the deployed inclinometer sensor and recorded as p represents the number of the pth camera, p = 1, 2, ..., q, and the standard tilt angle of each camera of each traffic light stored in the traffic light information database is extracted and recorded as By analyzing the formula Get the angle deviation coefficient μ of each traffic light camera i , where ν represents the angle deviation coefficient correction factor of the preset traffic light camera;

[0105] Obtain the monitoring screen images of each camera of each traffic light, obtain the area of ​​each stain in the monitoring screen images of each camera of each traffic light according to the monitoring screen images of each camera of each traffic light, and obtain the total area of ​​stain in the monitoring screen images of each camera of each traffic light by statistics, which is recorded as By analyzing the formula Get the image blur coefficient σ of each traffic light camera i , where SM 阈 Indicates the threshold of the stain area in the monitoring screen image of the preset camera. Indicates the image blur coefficient correction factor of the preset traffic light camera.

[0106] The lamp post basic parameter processing module is used to process the lamp post basic parameters of each traffic light to obtain the lamp post failure coefficient of each traffic light.

[0107] Furthermore, the lamp post basic parameter processing module obtains the lamp post failure coefficient of each traffic light, and the specific steps are as follows:

[0108] F1: By analyzing the formula Get the failure coefficient of each traffic signal support pole in represents the deformation of the i-th traffic light support pole, l 杆架阈 、x 变阈 、s 粘阈 They respectively represent the threshold values ​​of the total crack length, deformation and total adhered foreign matter area of ​​the preset traffic signal light support rod frame;

[0109] F2: By analyzing the formula Get the failure coefficient of each traffic light display screen

[0110] F3: By analyzing the formula Get the failure coefficient of each traffic light camera Where b1 and b2 are the preset angle deviation coefficient and image blur coefficient weight factors of the traffic light camera respectively;

[0111] F4: The failure coefficient of each traffic signal light support pole Failure coefficient of each traffic light display and the failure coefficient of each traffic light camera Substitute into the formula Get the failure coefficient ξ of each traffic light pole i .

[0112] The traffic facility comparison warning module is used to obtain the comprehensive fault index of each traffic light according to the underground line fault coefficient and the lamp post fault coefficient of each traffic light, and perform corresponding processing.

[0113] Furthermore, the traffic facility comparison warning module obtains the comprehensive fault index of each traffic light and performs corresponding processing in the specific steps of:

[0114] The underground line fault coefficient α of each traffic light i and the failure coefficient of each traffic light pole ξ i Substituting into the formula β i =ξ i *c1+α i *c2 obtains the comprehensive fault index β of each traffic light i , where c1 and c2 represent the compensation coefficients of the preset underground line fault coefficient and lamp post fault coefficient respectively;

[0115] The comprehensive fault index of each traffic light is compared with the preset standard value of the comprehensive fault index of the traffic light. If the comprehensive fault index of a traffic light is greater than the preset standard value of the comprehensive fault index of the traffic light, the traffic light is recorded as the target traffic light, the target traffic lights are screened out, the numbers of the target traffic lights are counted, and sent to the traffic management platform.

[0116] It should be noted that the present invention monitors and analyzes the support pole frame, display screen and camera of each traffic light, and obtains the support pole frame failure coefficient, display screen failure coefficient and camera failure coefficient of each traffic light respectively, and further obtains the lamp post failure coefficient of each traffic light, and comprehensively analyzes the underground line failure coefficient and the lamp post failure coefficient of each traffic light to obtain the comprehensive failure index of each traffic light, and performs corresponding processing according to the comprehensive failure index of each traffic light, so as to realize multi-dimensional data monitoring of traffic lights, improve the accuracy and reliability of traffic light fault monitoring results, and can timely discover traffic light faults and effectively solve them, thereby ensuring road traffic safety and road use efficiency.

[0117] The above contents are merely examples and explanations of the concept of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. A digital intelligent traffic facility fault intelligent monitoring and analysis system, characterized in that: include: The traffic light numbering module is used to obtain the location of each traffic light on the city road to be monitored, and number each traffic light on the city road to be monitored according to a preset order. ; The traffic signal light information database is used to store the standard display values ​​of various timers on the display screens of each traffic signal light at each time and the standard tilt angles of each camera of each traffic signal light; The underground line basic parameter acquisition module is used to obtain the basic parameters of each traffic light underground line, wherein the basic parameters include the total length of cracks on the main line surface, the total length of cracks on the branch line surface, the total damaged area on the main line surface, the total damaged area on the branch line surface, the concentration of burnt gas in the pipeline, and the humidity of the pipeline; The underground line basic parameter analysis module is used to analyze the basic parameters of the underground lines of each traffic light and obtain the underground line fault coefficient of each traffic light; The light pole basic parameter acquisition module is used to obtain the basic parameters of the light poles of each traffic light; The lamp post basic parameter processing module is used to process the lamp post failure coefficient of each traffic light according to the basic parameters of the lamp post of each traffic light; The traffic facility comparison warning module is used to obtain the comprehensive fault index of each traffic light according to the underground line fault coefficient and the light pole fault coefficient of each traffic light, and perform corresponding processing; The basic parameters of each underground line of the traffic light are obtained in the underground line basic parameters acquisition module, and the specific steps are as follows: Through the high-definition cameras arranged in the underground pipelines of each traffic light, the images of the main lines and branch lines of the underground lines of each traffic light are collected; Through the images of each main line of each traffic light underground line, the total length of surface cracks and the total surface damage area of ​​the main line in each traffic light underground line are analyzed and recorded as and ; Through the image of each branch line of each traffic light underground line, the total surface crack length and total surface damage area of ​​the branch line in each traffic light underground line are analyzed and recorded as and ; Through the combined gas sensors arranged in the underground pipelines of each traffic light, the concentrations of various gases in the pipelines of each traffic light underground line are collected, and the concentration of burnt gas in the pipelines of each traffic light underground line is screened and recorded as ; The humidity in the pipeline of each traffic light underground line is detected by the humidity sensor arranged in the pipeline of each traffic light underground line, and the pipeline humidity of each traffic light underground line is obtained, which is recorded as ; The underground line basic parameter analysis module obtains the underground line fault coefficient of each traffic light, and the specific method is as follows: By analyzing the formula Get the underground line fault coefficient of each traffic light ,in Indicates the preset allowable line crack length, Indicates the preset allowable line damage area, Indicates the preset safety pipeline burnt gas concentration threshold, Indicates the preset safe pipe humidity threshold, They are respectively the preset main line crack length, branch line crack length, main line damage area, branch line damage area, pipeline burnt gas concentration and pipeline humidity weight factors; The lamp post basic parameter acquisition module includes a support pole frame parameter acquisition unit, a display screen parameter acquisition unit and a camera parameter acquisition unit; The support rod frame parameter acquisition unit is used to obtain the total crack length, deformation amount and total adhered foreign matter area of ​​each traffic light support rod frame, and the specific steps are as follows: The surface of each traffic light support pole is monitored by a high-definition camera to obtain a surface image of each traffic light support pole; The total crack length of each traffic light support rod is obtained by analyzing the surface image of each traffic light support rod, which is recorded as ; The depth of each depression of each traffic light support pole is detected by a laser rangefinder to obtain the deformation of each traffic light support pole; Through the surface image of each traffic light support rod rack, the images of each adhered foreign matter on each traffic light support rod rack are obtained, and the total adhered foreign matter area of ​​each traffic light support rod rack is obtained by analysis, which is recorded as ; The display screen parameter acquisition unit is used to obtain the signal light operation abnormality coefficient, the turn signal light operation abnormality coefficient, the countdown abnormality coefficient, the digital display inaccuracy coefficient, the signal light brightness abnormality coefficient and the turn signal light brightness abnormality coefficient of each traffic light display screen, and the specific steps are: : Monitor each traffic light display screen through a camera to obtain video recordings of each traffic light display screen; : Through the video recording of each traffic light display screen, the working status of each signal light on each traffic light display screen is analyzed. If a signal light on a traffic light display screen is not on, the signal light on the traffic light display screen is recorded as an abnormal signal light. The abnormal signal lights on each traffic light display screen are screened out, and the number of abnormal signal lights on each traffic light display screen is counted and recorded as , by analyzing the formula Get the signal light abnormality coefficient of each traffic light display screen ,in Indicates the preset The total number of lights on a traffic light display, Indicates the correction factor of the abnormality coefficient of the signal light of the preset traffic signal light display screen; Similarly, according to the analysis method of the abnormal working coefficient of the signal lights of each traffic light display screen, the abnormal working coefficient of the direction lights of each traffic light display screen is obtained. ; : Through the video recording of each traffic light display screen, the video of each timer on each traffic light display screen is obtained, and the images of each timer on each traffic light display screen at each time are obtained by parsing, and the images of each timer on each traffic light display screen at each time are processed to obtain the countdown start value, the display value at each time and the number of displayed values ​​of each timer on each traffic light display screen. The countdown start value and the total number of displayed values ​​of each timer on each traffic light display screen are recorded as and , Indicates Class Timer, , compare the displayed values ​​of various timers on each traffic light display screen at each time with the standard displayed values ​​of various timers on each traffic light display screen at each time stored in the traffic light information database, and analyze the number of abnormal displayed values ​​of various timers on each traffic light display screen, which is recorded as ; By analyzing the formula Get the countdown anomaly coefficient of each traffic light display screen ,in Indicates the preset Traffic light display The standard start value of the countdown of the class timer. Indicates the countdown abnormality coefficient correction factor of the preset traffic light display screen; :Through the analytical formula Get the digital display inaccuracy coefficient of each traffic light display ,in Indicates the correction factor of the digital display misalignment coefficient of the preset traffic signal light display screen; : The brightness of each signal light on each traffic light display screen is detected by a brightness meter to obtain the brightness of each signal light on each traffic light display screen, and the brightness of each signal light on each traffic light display screen is recorded as , Indicates The number of the signal lights, , by analyzing the formula Get the abnormal brightness coefficient of each traffic light display screen ,in Indicates the preset standard brightness of the traffic light display. Indicates the correction factor of the abnormal brightness coefficient of the traffic light display screen; : Similarly, according to the signal light brightness abnormality coefficient analysis method of each traffic light display screen, the brightness abnormality coefficient of the direction light of each traffic light display screen is obtained ; The camera parameter acquisition unit is used to obtain the angle deviation coefficient and image blur coefficient of each traffic light camera, and the specific method is as follows: The tilt angle of each camera of each traffic light is collected by the deployed inclinometer sensor and recorded as , Indicates The camera number, , extract the standard tilt angle of each camera of each traffic light stored in the traffic light information database and record it as , by analyzing the formula Get the angle deviation coefficient of each traffic light camera ,in represents the angle deviation coefficient correction factor of the preset traffic light camera; Obtain the monitoring screen images of each camera of each traffic light, obtain the area of ​​each stain in the monitoring screen images of each camera of each traffic light according to the monitoring screen images of each camera of each traffic light, and obtain the total area of ​​stain in the monitoring screen images of each camera of each traffic light by statistics, which is recorded as , by analyzing the formula Get the image blur coefficient of each traffic light camera ,in Indicates the threshold of the stain area in the monitoring screen image of the preset camera. Indicates the image blur coefficient correction factor of the preset traffic light camera; The lamp post basic parameter processing module obtains the lamp post failure coefficient of each traffic signal lamp, and the specific steps are as follows: :Through the analytical formula Get the failure coefficient of each traffic signal support pole ,in Indicates The deformation of the traffic light support pole, They respectively represent the threshold values ​​of the total crack length, deformation and total adhered foreign matter area of ​​the preset traffic signal light support rod frame; :Through the analytical formula Get the failure coefficient of each traffic light display screen ; :Through the analytical formula Get the failure coefficient of each traffic light camera ,in are respectively the angle deviation coefficient and the image blur coefficient weighting factor of the preset traffic light camera; :The failure coefficient of each traffic signal support pole , Failure coefficient of each traffic light display and the failure coefficient of each traffic light camera Substitute into the formula Get the failure coefficient of each traffic light pole ; The traffic facility comparison and early warning module obtains the comprehensive fault index of each traffic light and performs corresponding processing in the following specific steps: The underground line fault coefficient of each traffic light and the failure coefficient of each traffic light pole Substitute into the formula Get the comprehensive fault index of each traffic light ,in Respectively represent the compensation coefficients of the preset underground line fault coefficient and the lamp post fault coefficient; The comprehensive fault index of each traffic light is compared with the preset standard value of the comprehensive fault index of the traffic light. If the comprehensive fault index of a traffic light is greater than the preset standard value of the comprehensive fault index of the traffic light, the traffic light is recorded as the target traffic light, the target traffic lights are screened out, the numbers of the target traffic lights are counted, and sent to the traffic management platform.

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