CN113643249B - Health state generation method and system of road comprehensive pole system - Google Patents
Health state generation method and system of road comprehensive pole system Download PDFInfo
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Abstract
The invention discloses a health state generation method of a road comprehensive pole system, which comprises the following steps: obtaining a color value of the component running state according to the mapping relation between the running states and the colors of the components of the comprehensive rod system with different service types, and further obtaining a state evaluation color value of the comprehensive rod system; generating a spot picture according to the mapping relation between the spot shape and different service types; and performing color smearing on the facula pictures according to different service parameters and data weights to obtain a pseudo-color state diagram of the comprehensive bar state. The method for establishing the color image spots to construct the pseudo-color state image of the combined rod state can evaluate the health state of the comprehensive rod system in real time, discover faults in the combined rod system in time, simplify various environmental factors into pictures and colors to represent, and can remarkably reduce model decision complexity caused by complex factor coupling.
Description
Technical Field
The invention belongs to the technical field of road rod closing, and particularly relates to a method and a system for generating a health state of a road comprehensive rod system.
Background
The urban illumination street lamp rod piece can well meet the signal coverage requirements of the 5G micro base station and the macro base station due to the congenital convenience of reasonable distribution of power and network access. Therefore, the light pole network becomes an important platform for carrying 5G devices.
The entry of numerous highly sensitive devices will significantly change the single function and management attributes of conventional light poles. The intelligent lighting combined rod is taken as a main multi-rod integrated device, so that more new technical management requirements are brought to the traditional lighting device management. Under the new lever-closing requirement, after devices of various types and rights units are concentrated in the traditional lighting service, a prominent contradiction between limited operation and maintenance resources and more complicated fault maintenance is caused.
In the current operation and maintenance, the fault diagnosis is carried out by adopting a rights and interests unit of who holds away the children and separately taking charge of the control, that is to say, adopting a fault diagnosis mode of bulk, and separately carrying out the fault and maintenance of separate equipment. If the camera fails, the fault alarm code returned by the front-end intelligent device is inquired by a special video device management platform to obtain a possible fault category and then listed in a daily maintenance scheduling plan, and professional maintenance personnel are guided to implement periodic maintenance, so that the closed loop of alarm, identification, treatment, maintenance and archiving of the fault state is completed.
The prior art scheme is generally used for diagnosing the reliability of equipment and facilities respectively according to professional types, the equipment is at the optimal service performance level when being built and delivered, but different attenuation and repair characteristics are presented according to different equipment construction properties after entering a service stage.
If the reinforced concrete member is a member, the disintegration curve of the member shows the characteristic of descending gradually according to the fitting rule of the disintegration attenuation of the stress performance of the member. Based on the environment and the use factors in the service period, professional staff of periodic organization can survey and calculate in the field, so that judgment on the health degree of the current state of the facility and prediction on the ecdysis law of a period of time in the future under certain assumption can be realized. In the implementation and maintenance, the main mode of repairing and relieving diseases is that the palliative repair is old and the performance ecdysis curve can be delayed until the service is expired for dismantling or replacing. For the other type of electromechanical equipment, due to the introduction of the Internet of things sensor, the purpose of collecting the current state of the electromechanical equipment in a short period and at high frequency is easily realized by combining regular use and professional inspection, and the performance maintenance of the equipment can be completed quickly and efficiently. And because of the weight, volume and access characteristics, the whole replacement can be implemented when serious diseases occur, and the fault of the electromechanical equipment can be quickly restored to a brand new performance state of the equipment due to the maintenance characteristics of the annular shape, and the performance disintegration curve of the electromechanical equipment can show sawtooth-shaped flat folding lines. It is also common to use hardware devices such as lamp posts and pipes, and because of advances in corrosion protection, welding and installation techniques, the use performance is generally stable and reliable, and diseases are generally mainly rusted, fallen, loosened and inclined. The performance ecdysis curve of the equipment is basically stable, and the equipment is developed around the factory performance in a stable oblique line with a small slope. When the service time limit reaches a certain period, the regular maintenance operation is organized again. During operation, the performance of the vehicle is quickly attenuated due to the events of accidental vehicle collision, construction damage, waterlogging, and the like, so that the service performance of the vehicle is quickly attenuated during the influence of the event until the vehicle is stopped. In addition, in urban environments, various devices are required to be maintained by considering the business influence of socioeconomic activities on the facilities, such as operation period requirements and reconstruction and extension maintenance requirements. When the device needs to be started/disconnected in advance or temporarily dismantled in a specific service scene, the device cannot be judged to have obvious faults under the condition that the running performance of the device is obviously degraded.
After the road rod member enters the integrated rod era, various devices reside in the same integrated rod, and the problems of compatibility, coexistence and sharing among the devices need to be solved. Meanwhile, the problem of cooperative coordination among different professions in maintenance operation can also occur. Therefore, how to reasonably and comprehensively allocate limited maintenance resources so as to judge the system state in time, filter interference alarms, accurately repair fault equipment and reduce the bulkiness and repeated waste of a stacked bed mechanism of a frame house is a key for determining the improvement of the operation and maintenance efficiency of the whole system.
The prior art method is difficult to meet the requirement of intelligent judgment of the sensitivity of the service level and the combined rod system equipment in the daily fault state. The implementation mode is mainly that threshold values of various parameters are preset, and then the program periodically collects parameter data and performs real-time comparison. When the occurrence value exceeds a preset threshold value, alarm information is formed, and the manager is pushed to conduct manual treatment. The mode is only suitable for a single service system model, and is difficult to meet the operation and maintenance service with strong comprehensive performance of a combined system. When coupling between device states occurs, a large number of false positives and disturbances will be generated, and significant constraints will be placed on the limited maintenance resource precision configuration. The invention is therefore based on this.
Disclosure of Invention
Aiming at the technical problems, the invention aims to provide a method and a system for generating the health state of a road comprehensive pole system, and a method for establishing a color pattern to construct a pseudo-color state diagram of a combined pole state.
The technical scheme of the invention is as follows:
a health state generation method of a road comprehensive pole system comprises the following steps:
s01: obtaining a color value of the component running state according to the mapping relation between the running states and the colors of the components of the comprehensive rod system with different service types, and further obtaining a state evaluation color value of the comprehensive rod system;
s02: generating a spot picture according to the mapping relation between the spot shape and different service types;
s03: and performing color smearing on the facula pictures according to different service parameters and data weights to obtain a pseudo-color state diagram of the comprehensive bar state.
In a preferred embodiment, the method for obtaining the color value of the component operation state in step S01 includes:
S11: decomposing the comprehensive system of the system into a single data object set, dividing the service types into sensor data, service setting data and personnel auditing data, defining sub-field data items of running state description subordinate to each service type, and numbering;
s12: and processing to obtain the state value of each sub-field data item, and converting the state value into a color value according to the mapping relation between the state value and the color value.
In a preferred embodiment, the method for converting the state value into the color value in step S12 includes:
s121: according to the dynamic monitoring value or the grading value of the sensor, performing percentile conversion to quantify the state, and taking the quantified state as a state criterion p of the item;
s122: setting a plurality of state change thresholds, and dividing different state levels through the thresholds;
s123: and converting the quantized state into a color value by using the state criterion p as a weight value through a state color conversion coefficient, wherein the state color conversion coefficient k= (weight value/100) is 255.
In a preferred embodiment, the method for obtaining the state evaluation color value of the integrated rod system in step S01 includes:
s13: defining array RN [ i ], GN [ i ], BN [ i ] to respectively represent the color values of the running states of sensor data, service setting data and personnel auditing data, wherein i represents the equipment with the ith serial number, RN [ i ] E [0-255], GN [ i ] E [0-255], BN [ i ] E [0-255];
S14: the RGB three colors of the component are (RN [ i ], GN [ i ], BN [ i ]), and the value rule is as follows: when GN [ i ] e [0-255] and BN [ i ] =0, RN [ i ] =0; when GN [ i ] =0 and BN [ i ] ε [0-255], RN [ i ] =0; when GN [ i ] =0 and BN [ i ] =0, RN [ i ] ε [0-255];
s15: the comprehensive rod system state evaluation color value is [ i ] =r+RN [ i ] +g+GN [ i ] +b ] BN [ i ], wherein r, g and b are weight coefficients of sensor data, service setting data and personnel auditing data respectively.
In a preferred technical solution, the method for generating the facula image in step S02 includes:
s21: defining monitoring data weight and weight value of the component state, wherein the monitoring data weight is used for defining the influence degree of sensor data on the whole comprehensive rod system; the weight value is used for describing the severity of the state of the corresponding part of the record in the corresponding weight under the weight of the monitored data;
s22: establishing mapping relation between the light spot shape and different service types to obtain a light spot shape function, and selecting the number of edge vertices and the radius of wire frames with different shapes through monitoring data weight;
s23: defining a spot size function according to the monitoring data weight, wherein the calculation method is that the standard size of the component is multiplied by N i times of (the monitoring data weight +1), and N i is a conversion coefficient array;
S24: and generating a spot picture by the spot shape function and the spot size function.
In a preferred technical solution, the mapping relationship between the spot shape and different service types in step S22 includes:
the pattern spots of the pole box electrical performance status monitoring sensor class are represented by regular polygons, wherein the subtypes are as follows: 0 voltage, 1 current, 2 instantaneous electric quantity, 3 accumulated electric quantity, 4 phase, 5 active power, 6 reactive power, 7 loop state and 8 others, wherein (serial number+5) is used as the number of the top points of the regular polygon;
the pattern spots of the things-connected sensors in the environment outside the pole box are represented by using regular chrysanthemum-shaped polygons, wherein the sub types comprise a box door state 1, a door access state 2, a water accumulation state 3, a three-way inclination 4, a three-way acceleration 5, a three-way angular speed 6, a three-way angular magnetic field 7, a horizontal azimuth angle 8, a longitudinal azimuth angle 9, a temperature and humidity 10, a wind speed 11, a wind direction 12, a signal intensity 13, a illuminance 14, a rainfall 15, a noise 16, 17PM2.5, a PM10 18, a fan rotating speed 19, 20 electric leakage grounding and 21 others, and the number (serial number+5) is taken as the number of the top points of the rounded rectangle;
the pattern of tubing well condition monitoring sensors is represented using an oval, with subtypes of: 0 well lid displacement, 1 comprehensive well liquid level, 2 pipeline occupation of 0, 3 pipeline occupation of 1, 4 theft prevention, 5 power-on, 6 hydraulic pressure, 7 flow and 8 others, wherein (serial number+5) is used as the minor axis length value of the elliptical end, and (serial number+15) is used as the major axis length value of the ellipse;
The sensor itself and the pattern of data status data are represented using rectangles, where the subtypes are: 0 sensor offline, 1 sensor online, 2 communication abnormality, 3 super general upper limit threshold, 4 super general lower limit threshold, 5 super upper limit threshold, 6 super lower limit threshold, 7 super serious upper limit threshold, 8 super serious lower limit threshold, 9 equipment deactivation, 10 others, taking (serial number +10) as a rectangular short side value and (serial number +25) as a rectangular long side value;
the spots of personnel review data are represented using circles, with subtypes of: the method comprises the steps of 0 accessory damage, 1 appearance stain, 2 dents, 3 scratches, 4 equipment breakage, 5 rust, 6 crack, 7 fracture, 8 drop, 9 water inlet, 10 facility aging, 11 deformation, 12 loosening, 13 theft, 14 heat dissipation, 15 foreign matters, 16 water accumulation, 17 parasitic animal nest, 18 collapse, 19 displacement, 20 shake, 21 neatness, 22 cable joints, 23 deactivation, 24 maintenance, 25 service setting data period strategies, 26 service setting data conventional service strategies, 27 service setting data manual auditing strategies and 28 others, wherein (serial number +10) is used as a circular radius length value.
In a preferred embodiment, the method for color application in step S03 includes:
S31: selecting the gradual change speed of colors in wire frames with different shapes through weight values, and defining a boundary gradual change thickness function Ti;
s32: spreading on the comprehensive pole base graph by utilizing light spots and colors and considering the gradual spreading of edges, wherein the gradual spreading of the edges is performed on the comprehensive pole base graph according to the weight values of all data items, and when the light spots are spread with different colors, the color of the light spots gradually decreases from the center point of the light spots along the radial direction to the periphery, wherein the center color of the light spots is the full, the boundary color of the light spots is the shallowest, and the control data of the gradual spreading speed is determined by a boundary gradual thickness function (Ti).
In the preferred technical scheme, in the step S03, if there is coupling between adjacent components, superposition is performed based on color and gradual change, and the calculation method is that pixel points corresponding to the black-and-white base map of the integrated rod are calculated, meanwhile, color data affecting light spots are calculated, superposition calculation is performed to obtain a final color value of the pixel points, and finally, a pseudo-color state map of the integrated rod state is obtained.
The invention also discloses a health state generation system of the road comprehensive pole system, which comprises:
the state evaluation color value calculation module of the comprehensive bar system obtains the color value of the component running state according to the mapping relation between the running states and the colors of the components of the comprehensive bar of different service types, and further obtains the state evaluation color value of the comprehensive bar system;
The light spot generation module is used for generating a light spot picture according to the mapping relation between the light spot shape and different service types;
and the comprehensive bar state pseudo-color state diagram generating module performs color coating on the facula pictures according to different service parameters and data weights to obtain a comprehensive bar state pseudo-color state diagram.
In a preferred technical scheme, the method for obtaining the color value of the running state of the component in the state evaluation color value calculation module of the comprehensive bar system comprises the following steps:
s11: decomposing the comprehensive system of the system into a single data object set, dividing the service types into sensor data, service setting data and personnel auditing data, defining sub-field data items of running state description subordinate to each service type, and numbering;
s12: and processing to obtain the state value of each sub-field data item, and converting the state value into a color value according to the mapping relation between the state value and the color value.
Compared with the prior art, the invention has the beneficial effects that:
1. the method for establishing the color pattern to construct the pseudo-color state diagram of the combined rod state can evaluate the health state of the comprehensive rod system in real time and discover faults in the combined rod system in time.
The business disturbance of the personnel and the rod state are combined, so that the personalized business scene requirement can be more approximated.
And the complex coupling of different degenerated lesions of multiple devices in the combined rod can be simplified. The intelligent equipment, the steel structural member, the civil engineering equipment and various environmental factors are maintained and are simplified to be represented by pictures and colors, so that the model decision complexity caused by complex factor coupling can be remarkably reduced.
Drawings
The invention is further described below with reference to the accompanying drawings and examples:
FIG. 1 is a flow chart of a method of generating a health status of a road integrated pole system of the present invention;
FIG. 2 is a schematic block diagram of a health status generation system of the road integrated pole system of the present invention;
FIG. 3 is a graph showing the distribution of the road integrated system state evaluation color values according to the present invention;
FIG. 4 is a schematic diagram of a pattern of a pole box electrical performance status monitoring sensor class;
FIG. 5 is a schematic diagram of a spot of an environmental things sensor class outside the pole box;
FIG. 6 is a schematic diagram of a pattern of tubing well condition monitoring sensors;
FIG. 7 is a schematic diagram of the sensor itself and the data status data;
FIG. 8 is a graphical illustration of human audit data;
fig. 9 is a schematic diagram of a state pseudocolor diagram of the integrated pole system.
Detailed Description
The objects, technical solutions and advantages of the present invention will become more apparent by the following detailed description of the present invention with reference to the accompanying drawings. It should be understood that the description is only illustrative and is not intended to limit the scope of the invention. In addition, in the following description, descriptions of well-known structures and techniques are omitted so as not to unnecessarily obscure the present invention.
Examples
Term interpretation:
(1) Comprehensive bar system: the physical carrying platform is composed of a comprehensive rod, a comprehensive equipment box, a comprehensive power box, a comprehensive pipeline and other auxiliary facilities, and provides service guarantees such as carrying carriers, cable laying channels, power supply and the like on the rod and in a case, so that the physical carrying platform is a novel public infrastructure.
(2) Carrying facilities: the various city management and service facilities carried by the integrated pole facility are collectively referred to as "utility facilities".
(3) Comprehensive bar: the rod body mounted on the rod is provided for various mounting facilities needing to be mounted on the rod, and the rod body is assembled by a main rod, an auxiliary rod, a cross arm, a lamp arm and the like.
(4) Comprehensive equipment box: the cabin is used for providing a cabin carrying cabin, a power supply, a grounding and wiring environment for various carrying facilities needing to be installed in the cabin.
(5) Comprehensive pipeline: and the comprehensive pipeline is used for laying communication, control and distribution cables.
(6) And (3) a main rod: the basic rod body of the comprehensive rod can independently form the comprehensive rod or be combined with other components to form the comprehensive rod.
(7) Auxiliary rod: one of the components of the integrated pole is installed on the upper part of the main pole of the integrated pole, and can be used for bearing the carrying facilities such as the lamp arm, the mobile communication base station and the like.
(8) Cross arm: one of the components of the comprehensive bar is arranged on the side surface of the comprehensive bar and can be used for carrying facilities such as signal lamps, cameras, signboards and the like horizontally.
(9) Lamp arm: one of the components of the integrated rod is arranged on the auxiliary rod and can be used for bearing facilities such as lighting fixtures and the like.
As shown in fig. 1, a method for generating a health state of a road integrated pole system includes the following steps:
s01: obtaining a state evaluation color value of the comprehensive bar system according to the mapping relation between the running states and colors of all parts of the comprehensive bar with different service types;
s02: generating a spot picture according to the mapping relation between the spot shape and different service types;
s03: and performing color smearing on the facula pictures according to different service parameters and data weights to obtain a pseudo-color state diagram of the comprehensive bar state.
In a preferred embodiment, the method for obtaining the color value of the component operation state in step S01 includes:
s11: decomposing the comprehensive system of the system into a single data object set, dividing the service types into sensor data, service setting data and personnel auditing data, defining sub-field data items of running state description subordinate to each service type, and numbering;
S12: and processing to obtain the state value of each sub-field data item, and converting the state value into a color value according to the mapping relation between the state value and the color value.
In a preferred embodiment, the method for converting the status value into the color value in step S12 includes:
s121: according to the dynamic monitoring value or the grading value of the sensor, performing percentile conversion to quantify the state, and taking the quantified state as a state criterion p of the item;
s122: setting a plurality of state change thresholds, and dividing different state levels through the thresholds;
s123: and converting the quantized state into a color value by using the state criterion p as a weight value through a state color conversion coefficient, wherein the state color conversion coefficient k= (weight value/100) is 255.
In a preferred embodiment, the method for obtaining the state evaluation color value of the integrated rod system in step S01 includes:
s13: defining array RN [ i ], GN [ i ], BN [ i ] to respectively represent the color values of the running states of sensor data, service setting data and personnel auditing data, wherein i represents the equipment with the ith serial number, RN [ i ] E [0-255], GN [ i ] E [0-255], BN [ i ] E [0-255];
s14: the RGB three colors of the component are (RN [ i ], GN [ i ], BN [ i ]), and the value rule is as follows: when GN [ i ] e [0-255] and BN [ i ] =0, RN [ i ] =0; when GN [ i ] =0 and BN [ i ] ε [0-255], RN [ i ] =0; when GN [ i ] =0 and BN [ i ] =0, RN [ i ] ε [0-255];
S15: the comprehensive rod system state evaluation color value is [ i ] =r+RN [ i ] +g+GN [ i ] +b ] BN [ i ], wherein r, g and b are weight coefficients of sensor data, service setting data and personnel auditing data respectively.
In a preferred embodiment, the method for generating the flare image in step S02 includes:
s21: defining monitoring data weight and weight value of the component state, wherein the monitoring data weight is used for defining the influence degree of sensor data on the whole comprehensive rod system; the weight value is used for describing the severity of the state of the corresponding part of the record in the corresponding weight under the weight of the monitored data;
s22: establishing mapping relation between the light spot shape and different service types to obtain a light spot shape function, and selecting the number of edge vertices and the radius of wire frames with different shapes through monitoring data weight;
s23: defining a spot size function according to the monitoring data weight, wherein the calculation method is that the standard size of the component is multiplied by N i times of (the monitoring data weight +1), and N i is a conversion coefficient array;
s24: and generating a spot picture by the spot shape function and the spot size function.
In a preferred embodiment, the mapping relationship between the spot shape and the different service types in step S22 includes:
The pattern spots of the pole box electrical performance status monitoring sensor class are represented by regular polygons, wherein the subtypes are as follows: 0 voltage, 1 current, 2 instantaneous electric quantity, 3 accumulated electric quantity, 4 phase, 5 active power, 6 reactive power, 7 loop state and 8 others, wherein (serial number+5) is used as the number of the top points of the regular polygon;
the pattern spots of the things-connected sensors in the environment outside the pole box are represented by using regular chrysanthemum-shaped polygons, wherein the sub types comprise a box door state 1, a door access state 2, a water accumulation state 3, a three-way inclination 4, a three-way acceleration 5, a three-way angular speed 6, a three-way angular magnetic field 7, a horizontal azimuth angle 8, a longitudinal azimuth angle 9, a temperature and humidity 10, a wind speed 11, a wind direction 12, a signal intensity 13, a illuminance 14, a rainfall 15, a noise 16, 17PM2.5, a PM10 18, a fan rotating speed 19, 20 electric leakage grounding and 21 others, and the number (serial number+5) is taken as the number of the top points of the rounded rectangle;
the pattern of tubing well condition monitoring sensors is represented using an oval, with subtypes of: 0 well lid displacement, 1 comprehensive well liquid level, 2 pipeline occupation of 0, 3 pipeline occupation of 1, 4 theft prevention, 5 power-on, 6 hydraulic pressure, 7 flow and 8 others, wherein (serial number+5) is used as the minor axis length value of the elliptical end, and (serial number+15) is used as the major axis length value of the ellipse;
The sensor itself and the pattern of data status data are represented using rectangles, where the subtypes are: 0 sensor offline, 1 sensor online, 2 communication abnormality, 3 super general upper limit threshold, 4 super general lower limit threshold, 5 super upper limit threshold, 6 super lower limit threshold, 7 super serious upper limit threshold, 8 super serious lower limit threshold, 9 equipment deactivation, 10 others, taking (serial number +10) as a rectangular short side value and (serial number +25) as a rectangular long side value;
the spots of personnel review data are represented using circles, with subtypes of: the method comprises the steps of 0 accessory damage, 1 appearance stain, 2 dents, 3 scratches, 4 equipment breakage, 5 rust, 6 crack, 7 fracture, 8 drop, 9 water inlet, 10 facility aging, 11 deformation, 12 loosening, 13 theft, 14 heat dissipation, 15 foreign matters, 16 water accumulation, 17 parasitic animal nest, 18 collapse, 19 displacement, 20 shake, 21 neatness, 22 cable joints, 23 deactivation, 24 maintenance, 25 service setting data period strategies, 26 service setting data conventional service strategies, 27 service setting data manual auditing strategies and 28 others, wherein (serial number +10) is used as a circular radius length value.
In a preferred embodiment, the method of color application in step S03 includes:
S31: selecting the gradual change speed of colors in wire frames with different shapes through weight values, and defining a boundary gradual change thickness function Ti;
s32: spreading on the comprehensive pole base graph by utilizing light spots and colors and considering the gradual spreading of edges, wherein the gradual spreading of the edges is performed on the comprehensive pole base graph according to the weight values of all data items, and when the light spots are spread with different colors, the color of the light spots gradually decreases from the center point of the light spots along the radial direction to the periphery, wherein the center color of the light spots is the full, the boundary color of the light spots is the shallowest, and the control data of the gradual spreading speed is determined by a boundary gradual thickness function (Ti).
In a preferred embodiment, in step S03, if there is coupling between adjacent components, stacking is performed based on color and gradual change, and the calculating method is that calculating the pixel point corresponding to the black-and-white base map of the composite rod, calculating the color data affecting the light spot, and performing stacking calculation to obtain the final color value of the pixel point, and finally obtaining the pseudo-color state map of the composite rod state.
As shown in fig. 2, the present invention also discloses a health status generating system of the road comprehensive pole system, which comprises:
the state evaluation color value calculation module 10 of the comprehensive bar system obtains the color value of the component running state according to the mapping relation between the running states and colors of the components of the comprehensive bar of different service types, and further obtains the state evaluation color value of the comprehensive bar system;
The light spot generating module 20 generates a light spot picture according to the mapping relation between the light spot shape and different service types;
the integrated bar state pseudo-color state diagram generating module 30 performs color coating on the facula pictures according to different service parameters and data weights to obtain an integrated bar state pseudo-color state diagram.
The state evaluation color value calculation module 10 of the comprehensive bar system: obtaining a state evaluation value of the comprehensive rod system according to the mapping relation between the running states and the colors of all parts of the comprehensive rod with different service types; the method specifically comprises the following steps:
in order to realize the depiction of the states in the whole comprehensive bar system, the equipment and the components which are particularly sensitive to the influence of the system health state are marked, and each component in the comprehensive bar system needs to be independently decomposed into different metadata. One specific possible scheme is as follows: the comprehensive pole system (system) is disassembled into a single data object set such as a 5G base station, a main pole, an auxiliary pole, a cross arm, a lamp arm, a comprehensive equipment box, a comprehensive power supply box, a comprehensive pipeline, a public service cabin, an electric power metering cabin, an illumination control cabin, a carrying facility power distribution cabin, a comprehensive pipe well and the like for management. Of course, other disassembly methods are also possible.
A single set of data objects of the composite rod is defined, with the data class and object number of the run state description. One specific possible scheme is as follows: the service types can be divided into three categories of sensor data A, service setting data B and personnel auditing data C, and the elements of equipment internet of things monitoring, component self state, manual daily inspection, daily service supervision requirements and the like are respectively classified into the three categories according to the manual qualitative standards of sensor monitoring and service strategies.
The specific states are described as follows:
the sensor data A comprises a bar box external environment and a pipe well state internet-of-things monitoring data item, and specifically comprises the following steps:
0 pole box electrical performance status monitoring sensors (0 voltage, 1 current, 2 instantaneous power, 3 accumulated power, 4 phase, 5 active power, 6 reactive power, 7 loop status, 8 others);
1 bar box external environment thing allies oneself with sensor class (1 box door state, 2 entrance guard state, 3 ponding state, 4 three-way gradient, 5 three-way acceleration, 6 three-way angular velocity, 7 three-way angular magnetic field, 8 horizontal azimuth, 9 longitudinal azimuth, 10 humiture, 11 wind speed, 12 wind direction, 13 signal intensity, 14 illuminance, 15 rainfall, 16 noise, 17PM2.5, 18PM10, 19 fan rotational speed, 20 electric leakage ground connection, 21 others);
2 pipe well state monitoring sensors (0 well lid displacement, 1 comprehensive well liquid level, 2 pipeline occupation 0, 3 pipeline non occupation 1, 4 theft prevention, 5 power on, 6 hydraulic pressure, 7 flow, 8 others);
3 sensor self status (0 on line, 1 off line, 2 off line, 3 in repair, 4 off line, 5 others).
The service setting data, namely the sensor itself and the data state data, comprises: 0 online, 1 offline, 2 out of service, 3 in repair, 4 out of service, 5 normal calibration value range, between 10% and 20% 6 threshold absolute value, 21% and 40% 7 threshold absolute value, 41% and 60% 8 threshold absolute value, 61% and 80% 9 threshold absolute value, 81% and 99% 10 threshold absolute value, 100% and 150% 11 threshold absolute value, 151% and 200% 12 threshold absolute value, 201% and 300% 13 threshold absolute value, 301% or more 14 threshold absolute value, 15 others.
Personnel audit data, including personnel business inspection and appearance data items, including: 3 personnel inspection equipment status (0 accessory damaged, 1 appearance stain, 2 dent, 3 scratch, 4 equipment broken, 5 rust, 6 cracked, 7 broken, 8 dropped, 9 water in, 10 facility aged, 11 deformed, 12 loose, 13 stolen, 14 heat dissipation, 15 foreign matter, 16 water in, 17 parasitic animal nest, 18 collapsed, 19 displaced, 20 sloshed, 21 neat, 22 cable joint, 23 disabled, 24 in repair, 25 other).
The three states of the sensor data A, the service setting data B and the personnel auditing data C define the subordinate sub-field data items respectively. Each subfield data item takes a value from the state value of the item corresponding to each comprehensive trunk component. The original value of the specific data source of the state value can be a sensor dynamic monitoring value or a manual inspection grading value, and the original value can be used as a defined state criterion p of the item after the conversion of the percentile.
The state criteria p are defined in percentages to determine states, for example, five state change thresholds may be defined, and specifically, the states may be classified into normal (20), slightly abnormal with defect (40), abnormal (60), severely faulty (80), deactivated (100) stages, and the states corresponding to the stages are quantized into six stages (0-20, 21-40, 41-60, 61-80, 81-99, 100).
For example: if the appearance score of a certain device has a plurality of indexes including paint, cabin doors, stains, rust and other sub-items, the brand new sound state is 100 points, and the sub-items of the device are judged to be 86, 70, 50 and 20 through manual inspection, the appearance score of the device is 70 points after the comprehensive of the percentage system. The equipment sub-item belongs to the abnormal section (61-80).
Reading the service and the monitoring data of the state sensor in a specific period of time, performing percentage conversion in the process to obtain a state criterion p, and marking the installation quantity information and the monitoring state parameter value at the corresponding equipment/part intersection point;
and defining a corresponding relation between quantized colors and alarm states, and specifically defining various state values in the comprehensive bar system by using a chromaticity relation.
The above-mentioned defined state criterion p is taken as a weight value and dyeing calculation is started, and for convenience of dyeing, a state color conversion coefficient k= (weight value/100) ×255 is defined. The coefficients convert the state values to color values.
The method comprises the steps of respectively defining an array RN [ i ], GN [ i ] and BN [ i ] to respectively represent the color values of the running states of sensor data, service setting data and personnel checking data, wherein i represents equipment with the ith serial number, different service attributes correspond to different color arrays, RN [ i ] represents a red color value, GN [ i ] represents a green color value, BN [ i ] represents a blue color value, and the values of RN [ i ], GN [ i ] and BN [ i ] are from [0-255], namely RN [ i ] E [0-255], GN [ i ] E [0-255] and BN [ i ] E [0-255]. Wherein, the three colors of RGB are respectively (RN [ i ], GN [ i ], BN [ i ]). The value rule is as follows: when GN [ i ] e [0-255] and BN [ i ] =0, RN [ i ] =0; when GN [ i ] =0, and BN [ i ] ε [0-255], RN [ i ] =0; when GN [ i ] =0, and BN [ i ] =0, RN [ i ] ε [0-255].
In order to distinguish that the sensor sampling number exceeds the upper limit threshold and the lower limit threshold, when the lower limit threshold is exceeded, the blue RN [ i ] value is subtracted by 255 and then divided by the quotient of 255, and the integer absolute value of the result is taken. If the upper limit is exceeded, no conversion is performed.
Defining a comprehensive rod system state evaluation color value Sii=rRNi+gGNi+bBN as a color value of the health state of the comprehensive rod, and providing a fault diagnosis method for the comprehensive rod system, wherein r, g and b are weight coefficients of sensor data, service setting data and personnel checking data respectively. The distribution diagram of the state evaluation color values is shown in fig. 3.
Spot generation module 20: generating a spot picture according to the mapping relation between the spot shape and different service types; the method specifically comprises the following steps:
on the basis of the above, a group of specific-Shape light spots are defined to represent the properties and parameter values of the states of all parts of the composite rod, and the specific definition is a spot Shape function S [ i ] (Shape) and a smearing boundary gradient Thickness T [ i ] (Thickness). The different state types and weights (weight values) affecting each other between the components are represented by adjusting the spot shape function si and the boundary gradient thickness function ti, respectively.
Monitor data weights and weight values defining component states. The monitoring data weight definition is used for the influence degree of the sensor data on the whole comprehensive bar system, the non-hazard definition is 0, and the serious hazard and even the need for deactivation are defined as 19. The method comprises the following steps: data are presented 0, 1 mild, 2 mild, 3 mild, 4 moderate, 5 moderate, 6 moderate, 7 big, 8 big, 9 big, 10 severe, 11 severe, 12 severe, 13 fatal, 14 fatal, 15 fatal, 16 advised to deactivate, 17 advised to deactivate, 18 advised to deactivate, 19 must deactivate. The method is used for selecting the number of corner vertexes and the radius of wire frames with different shapes, the more serious the influence degree is, the larger the radius is, and the service is used for drawing the health state map of the composite system. If there are multiple records, the split program uses the "$" half-angle currency symbol as the separator, and the split program uses this to split.
Weight value: this term is used to describe the severity of the state of the corresponding part of the record in the corresponding weight under the monitored data weight, 0 being almost none, 100 being the most severe. The numerical value is 0-100 percent. The item is used for selecting the gradual change speed of colors in wire frames with different shapes and is used for drawing the health status map of the comprehensive system of rods. If there are multiple records, the split program uses the "$" half-angle currency symbol as the separator, and the split program uses this to split.
In addition, a spot size function L [ i ] (Larget) is defined according to the weight of the monitoring data. The calculation method is that the N [ i ] times (the weight of the monitoring data +1) is multiplied on the basis of the standard size (the unit length x [ i ] and the width y [ i ]). x [ i ] and y [ i ] are the horizontal and vertical pixel coordinates of the picture of the device (component), and N [ i ] is a conversion coefficient array, which can be customized according to the requirements in practical application.
Center point position coordinate x of light spot 0 、y 0 Starting from the center of the component icon of the composite bar, i.e., half the icon length and width pixel values. The spot shape function definition is designed as follows:
0 pole box electrical performance status monitoring sensors: the pattern spots are represented by regular polygons, wherein the sub types are 0 voltage, 1 current, 2 instantaneous electric quantity, 3 accumulated electric quantity, 4 phase, 5 active power, 6 reactive power, 7 loop state and 8 others, and the serial number +5 is the number of the top points of the regular polygons. The generated component state property parameter patch diagram is shown in fig. 4.
The environment outside the pole box is thing allies oneself with sensor class: the pattern spots are represented by using a regular chrysanthemum-shaped polygon, wherein the sub types include a 1-chamber door state, a 2-chamber door state, a 3-water accumulation state, a 4-way gradient, a 5-way acceleration, a 6-way angular velocity, a 7-way angular magnetic field, an 8-level azimuth angle, a 9-way azimuth angle, a 10-temperature and humidity, an 11-wind speed, a 12-wind direction, a 13-signal intensity, a 14-illuminance, a 15-rainfall, a 16-noise, 17PM2.5, 18PM10, 19-fan rotating speed, 20-leakage grounding and 21 others, and the serial number +5 of the pattern spots is the number of the tops of the rounded rectangle. The generated component state property parameter patch diagram is shown in fig. 5.
Tubing well condition monitoring sensors: the pattern is represented by an ellipse, wherein the subtype has 0 well lid displacement, 1 comprehensive well liquid level, 2 pipeline occupation 0, 3 pipeline non-occupation 1, 4 theft prevention, 5 power on, 6 hydraulic pressure, 7 flow, 8 others, the serial number +5 is the ellipse end short axis length value, and the serial number +15 is the ellipse long axis length value. The generated component state property parameter patch diagram is shown in fig. 6.
Sensor itself and data status data: the spots are represented using rectangles (not shown in the figure), where the subtypes are: 0 sensor offline, 1 sensor online, 2 communication abnormality, 3 supernormal upper limit threshold, 4 supernormal lower limit threshold, 5 supernormal upper limit threshold, 6 supernormal lower limit threshold, 7 superserious upper limit threshold, 8 superserious lower limit threshold, 9 equipment deactivation, 10 others, taking (serial number +10) as a rectangle short side value and (serial number +25) as a rectangle long side value. The generated component state property parameter patch diagram is shown in fig. 7.
Personnel audit data: the pattern is represented by circles, 0 accessory damage, 1 appearance stain, 2 dent, 3 scratch, 4 equipment rupture, 5 rust, 6 crack, 7 break, 8 drop, 9 water in, 10 facility aging, 11 deformation, 12 looseness, 13 theft, 14 heat dissipation, 15 foreign matter, 16 water accumulation, 17 parasitic animal nest, 18 collapse, 19 displacement, 20 shake, 21 neatness, 22 cable joint, 23 out of service, 24 in repair, 25 service setting data period policy, 26 service setting data regular service policy, 27 service setting data manual auditing policy, 28 others. The serial number +10 is a circular radius length value. The generated component state property parameter patch diagram is shown in fig. 8.
The boundary gradient thickness function T [ i ] corresponds to the weight value of each data item.
The integrated stick state pseudo-color state diagram generation module 30: and performing color smearing on the facula pictures according to different service parameters and data weights to obtain a pseudo-color state diagram of the comprehensive bar state.
And reading the number of the installation attributes and detecting the state information, and implementing specific shape and color coating at specific positions of the two-dimensional composite-rod-system pseudo-color picture asset according to the mapping relation of the threshold value and the shape and color to generate the composite-rod-system state pseudo-color picture, as shown in fig. 9.
And (3) spreading on the comprehensive bar base graph by utilizing the light spots and the colors and considering the gradual spreading of the edges, and if coupling exists between adjacent elements, overlapping is implemented based on the colors and the gradual spreading, so that the comprehensive bar state pseudo-color state graph is finally obtained.
The edge gradually changes into a color gradually decreasing method for gradually fading colors along the radial direction from the center point of the light spot to the periphery when the colors are smeared on different light spots according to the weight value of each data item. The control data of specific gradual change speed is determined by boundary gradual change thickness function (Ti) and the control data of the specific gradual change speed are determined by the control data. For example, the same component may have different status data, or different status data for adjacent components may result in different light spots being drawn on the integrating rod and the integrating box components. At this time, the similar light spots have influence on the color value of the same pixel, and coupling between the light spots is formed at this time. At this time, the calculation rule is the pixel point corresponding to the black-and-white base map of the comprehensive bar, meanwhile, the color data of the light spots with influence are calculated, and the final color value of the pixel point is obtained after superposition calculation.
It is to be understood that the above-described embodiments of the present invention are merely illustrative of or explanation of the principles of the present invention and are in no way limiting of the invention. Accordingly, any modification, equivalent replacement, improvement, etc. made without departing from the spirit and scope of the present invention should be included in the scope of the present invention. Furthermore, the appended claims are intended to cover all such changes and modifications that fall within the scope and boundary of the appended claims, or equivalents of such scope and boundary.
Claims (9)
1. The method for generating the health state of the road comprehensive pole system is characterized by comprising the following steps of:
s01: obtaining a color value of the component running state according to the mapping relation between the running states and the colors of the components of the comprehensive rod system with different service types, and further obtaining a state evaluation color value of the comprehensive rod system; the method for obtaining the state evaluation color value of the comprehensive bar system comprises the following steps:
s13: defining array RN [ i ], GN [ i ], BN [ i ] to respectively represent the color values of the running states of sensor data, service setting data and personnel checking data, wherein i is represented as a component of the ith serial number, RN [ i ] E [0-255], GN [ i ] E [0-255], BN [ i ] E [0-255];
s14: the three colors of RGB of the component are as follows: RN [ i ], GN [ i ], BN [ i ], take the following value rules: when GN [ i ] e [0-255] and BN [ i ] =0, RN [ i ] =0; when GN [ i ] =0 and BN [ i ] ε [0-255], RN [ i ] =0; when GN [ i ] =0 and BN [ i ] =0, RN [ i ] ε [0-255];
s15: the comprehensive rod system state evaluation color value is [ i ] =r+RN [ i ] +g+GN [ i ] +b ] BN [ i ], wherein r, g and b are weight coefficients of sensor data, service setting data and personnel auditing data respectively;
s02: establishing a mapping relation between the light spot shape and different service types, obtaining a light spot shape function according to the mapping relation between the light spot shape and the different service types, defining a light spot size function according to the weight of the monitoring data, and generating a light spot picture according to the light spot shape function and the light spot size function;
S03: color painting is carried out on the facula pictures according to different service parameters and data weights, and a pseudo-color state diagram of the comprehensive rod state is obtained; the method for applying the color comprises the following steps:
s31: selecting the gradual change speed of colors in wire frames with different shapes through weight values, and defining a boundary gradual change thickness function Ti;
s32: spreading on the comprehensive pole base graph by utilizing light spots and colors and considering the gradual spreading of edges, wherein the gradual spreading of the edges is performed on the comprehensive pole base graph according to the weight values of all data items, and when the light spots are spread with different colors, the color of the light spots gradually decreases from the center point of the light spots along the radial direction to the periphery, wherein the center color of the light spots is the full, the boundary color of the light spots is the shallowest, and the control data of the gradual spreading speed is determined by a boundary gradual thickness function (Ti).
2. The method for generating the health status of the road integrated pole system according to claim 1, wherein the method for obtaining the color value of the component operation status in the step S01 includes:
s11: decomposing the comprehensive system of the system into a single data object set, dividing the service types into sensor data, service setting data and personnel auditing data, defining sub-field data items of running state description subordinate to each service type, and numbering;
S12: and processing to obtain the state value of each sub-field data item, and converting the state value into a color value according to the mapping relation between the state value and the color value.
3. The method for generating the health status of the road integration rod system according to claim 2, wherein the method for converting the status value into the color value in the step S12 comprises:
s121: according to the dynamic monitoring value or the grading value of the sensor, performing percentile conversion to quantify the state as a state criterion p;
s122: setting a plurality of state change thresholds, and dividing different state levels through the thresholds;
s123: and converting the quantized state into a color value by using the state criterion p as a weight value through a state color conversion coefficient, wherein the state color conversion coefficient k= (weight value/100) is 255.
4. The method for generating a health status of a road junction system according to claim 1, wherein the step S02 further comprises:
defining monitoring data weight and weight value of the component state, wherein the monitoring data weight is used for defining the influence degree of sensor data on the whole comprehensive rod system; the weight value is used for describing the severity of the state of the corresponding part in the corresponding weight under the monitoring data weight;
The number of the vertex points and the radius of the angles of the wire frames with different shapes are selected by monitoring the data weight.
5. The method for generating a health status of a road integrated pole system according to claim 1, wherein the method for calculating the spot size function in step S02 is that the standard size of the component is multiplied by N [ i ] times of "monitoring data weight+1", where N [ i ] is a conversion coefficient array.
6. The method for generating a health status of a road integration rod system according to claim 5, wherein the mapping relationship between the spot shape and different traffic types comprises:
the pattern spots of the pole box electrical performance status monitoring sensor class are represented by regular polygons, wherein the subtypes are as follows: 0 voltage, 1 current, 2 instantaneous electric quantity, 3 accumulated electric quantity, 4 phase, 5 active power, 6 reactive power, 7 loop state and 8 others, and taking a sequence number of +5 as the number of the top points of the regular polygon;
the pattern spots of the things-connected sensors in the environment outside the pole box are represented by using regular chrysanthemum-shaped polygons, wherein the sub types comprise a box door state 1, a door access state 2, a water accumulation state 3, a three-way inclination 4, a three-way acceleration 5, a three-way angular velocity 6, a three-way angular magnetic field 7, a horizontal azimuth angle 8, a longitudinal azimuth angle 9, a temperature and humidity 10, a wind speed 11, a wind direction 12, a signal intensity 13, a illuminance 14, a rainfall 15, a noise 16, 17PM2.5, a PM10 18, a fan rotating speed 19, a 20 electric leakage grounding state 21 and the like, and the number of the 'serial number +5' is used as the number of the top points of the rounded rectangle;
The pattern of tubing well condition monitoring sensors is represented using an oval, with subtypes of: 0 well lid displacement, 1 comprehensive well liquid level, 2 pipeline occupation of 0, 3 pipeline non-occupation of 1, 4 theft prevention, 5 power-on, 6 hydraulic pressure, 7 flow and 8 others, wherein 'serial number +5' is used as the minor axis length value of the elliptical end, and 'serial number +15' is used as the major axis length value of the elliptical end;
the sensor itself and the pattern of data status data are represented using rectangles, where the subtypes are: 0 sensor offline, 1 sensor online, 2 communication abnormality, 3 super general upper limit threshold, 4 super general lower limit threshold, 5 super upper limit threshold, 6 super lower limit threshold, 7 super serious upper limit threshold, 8 super serious lower limit threshold, 9 equipment deactivation, 10 others, taking 'serial number +10' as a rectangle short side value and 'serial number +25' as a rectangle long side value;
the spots of personnel review data are represented using circles, with subtypes of: the method comprises the steps of 0 accessory damage, 1 appearance stain, 2 dent, 3 scratch, 4 equipment fracture, 5 rust, 6 crack, 7 fracture, 8 drop, 9 water inlet, 10 facility aging, 11 deformation, 12 loosening, 13 theft, 14 heat dissipation, 15 foreign matter, 16 water accumulation, 17 parasitic animal nest, 18 collapse, 19 displacement, 20 shake, 21 neatness, 22 cable joint, 23 deactivation, 24 maintenance, 25 service setting data period strategy, 26 service setting data conventional service strategy, 27 service setting data manual auditing strategy and 28 others, and taking 'serial number +10' as a circular radius length value.
7. The method for generating a health status of a road integrated pole system according to claim 1, wherein in the step S03, if there is coupling between adjacent components, the superposition is performed based on the color and the gradation, and the calculation method is that the pixel point corresponding to the integrated pole black-white base map is calculated, the color data affecting the light spot is calculated at the same time, and the superposition calculation is performed to obtain the final color value of the pixel point, and finally the integrated pole status pseudo-color status map is obtained.
8. A system for generating a health status of a road pole system, comprising:
the state evaluation color value calculation module of the comprehensive bar system obtains the color value of the component running state according to the mapping relation between the running states and the colors of the components of the comprehensive bar of different service types, and further obtains the state evaluation color value of the comprehensive bar system; the method for obtaining the state evaluation color value of the comprehensive bar system comprises the following steps:
s13: defining array RN [ i ], GN [ i ], BN [ i ] to respectively represent the color values of the running states of sensor data, service setting data and personnel checking data, wherein i is represented as a component of the ith serial number, RN [ i ] E [0-255], GN [ i ] E [0-255], BN [ i ] E [0-255];
S14: the three colors of RGB of the component are as follows: RN [ i ], GN [ i ], BN [ i ], take the following value rules: when GN [ i ] e [0-255] and BN [ i ] =0, RN [ i ] =0; when GN [ i ] =0 and BN [ i ] ε [0-255], RN [ i ] =0; when GN [ i ] =0 and BN [ i ] =0, RN [ i ] ε [0-255];
s15: the comprehensive rod system state evaluation color value is [ i ] =r+RN [ i ] +g+GN [ i ] +b ] BN [ i ], wherein r, g and b are weight coefficients of sensor data, service setting data and personnel auditing data respectively;
the light spot generating module establishes mapping relation between the light spot shape and different service types, obtains a light spot shape function according to the mapping relation between the light spot shape and the different service types, defines a light spot size function according to the weight of the monitoring data, and generates a light spot picture according to the light spot shape function and the light spot size function;
the comprehensive bar state pseudo-color state diagram generating module is used for carrying out color coating on the facula pictures according to different service parameters and data weights to obtain a comprehensive bar state pseudo-color state diagram; the method for applying the color comprises the following steps:
s31: selecting the gradual change speed of colors in wire frames with different shapes through weight values, and defining a boundary gradual change thickness function Ti;
s32: spreading on the comprehensive pole base graph by utilizing light spots and colors and considering the gradual spreading of edges, wherein the gradual spreading of the edges is performed on the comprehensive pole base graph according to the weight values of all data items, and when the light spots are spread with different colors, the color of the light spots gradually decreases from the center point of the light spots along the radial direction to the periphery, wherein the center color of the light spots is the full, the boundary color of the light spots is the shallowest, and the control data of the gradual spreading speed is determined by a boundary gradual thickness function (Ti).
9. The system for generating a health status of a road integrated pole system according to claim 8, wherein the method for obtaining the color value of the component operation status in the status evaluation color value calculation module of the integrated pole system comprises:
s11: decomposing the comprehensive system of the system into a single data object set, dividing the service types into sensor data, service setting data and personnel auditing data, defining sub-field data items of running state description subordinate to each service type, and numbering;
s12: and processing to obtain the state value of each sub-field data item, and converting the state value into a color value according to the mapping relation between the state value and the color value.
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