A traffic equipment operation supervision method and system based on a GIS map

Abstract

The application provides a traffic equipment operation supervision method and system based on a GIS map, and belongs to the technical field of traffic equipment remote supervision, and comprises the following steps: configuring traffic equipment and a network terminal at a road node position, the traffic equipment is used for acquiring an image at a node of a road or indicating a road passing state; the network terminal is in communication connection with adjacent traffic equipment, and is used for wireless communication with the traffic equipment and a remote host; a state inspection strategy for the traffic equipment and the network terminal at the road node is configured, data fed back by the network terminal within a specified time is used for performance evaluation of the traffic equipment and the network terminal by the remote host according to the fed back data, and an evaluation report of an operation state of the traffic equipment and the network terminal is obtained; after the remote host obtains the evaluation report of the operation state of the traffic equipment and the network terminal, a maintenance work order is sent according to the operation state, and processing is performed in a time limit. The processing time limit is associated with an emergency state of a fault, and the fault is processed in stages.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of remote supervision of traffic equipment, and particularly relates to a traffic equipment operation supervision method and system based on a GIS map. BACKGROUND

[0002] With the continuous improvement of urbanization, the continuous improvement of urban road infrastructure construction, and the increasing number of vehicles, traffic equipment for supervising and indicating road traffic is becoming more and more popular. Traffic equipment is a product with high integration, which is usually manufactured and maintained by corresponding manufacturers, and lacks unified standards. Traditional traffic equipment maintenance and management relies on manual patrol, manual input, and manual distribution of work orders by each manufacturer, resulting in a long maintenance cycle and slow response speed. For fault handling, manual intervention is often used after the fact, which has a certain delay, seriously affecting the efficiency of urban road traffic, and the low level of intelligence also easily leads to traffic accidents.

[0003] The operation and maintenance of traffic equipment are of great significance to traffic safety, which is also a key measure to ensure the efficiency of transportation and the effective use of social resources. Therefore, it is necessary to provide a traffic equipment operation supervision method and system based on a GIS map, which can intelligently judge the operation status of traffic facilities according to the acquired data and automatically distribute maintenance work orders, so as to avoid manual patrol one by one or rely on manual reporting or investigation after the fact, and intervene in time before the degradation of the output result of the equipment, which is beneficial to improve the fault handling efficiency and ensure the reliability of road traffic. SUMMARY

[0004] Therefore, the present application provides a traffic equipment operation supervision method and system based on a GIS map, which periodically and randomly acquires data of traffic equipment and network terminals, judges whether the working status of the facilities is reliable, and timely performs manual intervention and maintenance to suppress faults in the early stage, thereby improving the road traffic efficiency and evaluating the response level of the maintenance department.

[0005] The technical scheme of the present application is as follows:

[0006] On the one hand, the present application provides a traffic equipment operation supervision method based on a GIS map, which comprises the following steps:

[0007] S1: configuring traffic equipment and network terminals at road node positions, the traffic equipment being used to acquire images at the nodes of the road or indicate the road traffic state; the network terminal being in communication connection with the adjacent traffic equipment and being used to perform wireless communication with the traffic equipment and a remote host;

[0008] S2: associating the positions and working states of the traffic equipment and the network terminal at the road nodes with a GIS map;

[0009] S3: configuring a state patrol strategy for the traffic equipment and the network terminal at the road node, for the data feedback of the network terminal within a specified time, the remote host performing performance evaluation on the traffic equipment and the network terminal according to the feedback data, and obtaining an evaluation report of the running state of the traffic equipment and the network terminal;

[0010] S4: after the remote host obtains the evaluation report of the running state of the traffic equipment and the network terminal, issuing a maintenance work order according to the running state and processing the work order in a limited time;

[0011] S5: the remote host evaluating the running maintenance level of the traffic equipment and the network terminal according to the change trend of the evaluation report of the running state of the traffic equipment and the network terminal and the execution of the maintenance work order.

[0012] On the basis of the above technical solution, preferably, the traffic equipment comprises a video monitoring unit, an indicator light unit and an illumination lamp unit; the traffic equipment periodically sends images or running data indicating the road passing state to the network terminal.

[0013] Preferably, in step S3, the configuration of the state patrol strategy for the traffic equipment and the network terminal at the road node is that, according to a fixed first query period T1, the states of the traffic equipment and the network terminal at each road node are sequentially queried according to the range of a section or the extension direction of a road, and the running states of the traffic equipment and the network terminal are evaluated according to the received data feedback of the network terminal; or the states of the traffic equipment and the network terminal at any several non-adjacent road nodes are randomly sampled and queried, and the running states of the traffic equipment and the network terminal are evaluated according to the received data feedback of the network terminal, according to the type of the traffic equipment, the quality of the content of the output data and the processing time of the network terminal, to obtain the evaluation report of the running state of the traffic equipment and the network terminal.

[0014] Preferably, the evaluation of the running state of the video monitoring unit in the traffic equipment includes the following contents:

[0015] Running state A1∈[1, 0];

[0016] Frame loss rate Totalframes is the number of output frames of the video monitoring unit theoretically obtained by the network terminal within the adjacent first query period, and Lostfarames is the deviation of the number of output frames of the video monitoring unit actually obtained by the network terminal within the adjacent first query period T1 from Totalframes;

[0017] Picture freezing Sameframes is the number of output frames of the video monitoring unit with the same content obtained by the network terminal within the adjacent first query period;

[0018] Brightness deviation max{·} is the maximum value operation, Goal_Brightness is the expected brightness of the image of the video monitoring unit, represents the historical brightness value when the video monitoring unit is continuously assessed as qualified for the last J times, J is an odd number greater than or equal to 5, j = 1, 2,..., J, ω j represents the weight of the historical brightness value, ω j J-j , β is the decay index, 0 < β < 1; avg_Brightness is the average brightness of all output frames of the video monitoring unit actually obtained by the network terminal in the current first query period;

[0019] Picture blur index A5 = BlurStrength adj = BlurStrength × (1 + α season + α weather ), wherein BlurStrength is the average gradient of at least one image I(x, y) randomly selected from the output frames of the video monitoring unit actually obtained by the network terminal in the current first query period, is the gradient amplitude of at least one image I(x, y), x and y are pixel coordinates of at least one image I(x, y), x = 1, 2,..., M, y = 1, 2,..., N, G x and G y are the gradients of at least one image I(x, y) in the horizontal direction and the vertical direction, respectively; α season is the seasonal blur factor, α season = 0.01T avg - 0.01H avg , T avg is the average temperature of the last week, H avg is the average relative humidity of the last week; BlurStrength adj is the average gradient of at least one image I(x, y) after adjustment by the weather blur factor and the seasonal blur factor; α weather is the weather blur factor, α weather = 0.05P + 0.01AQI - 0.01V, P is the numerical value of the precipitation of the last week, AQI is the air quality index at the current time, and V is the visibility at the current time.

[0020] Preferably, the running state evaluation of the indicator light unit in the traffic equipment includes the following contents:

[0021] Indicator light availability wherein Run act ​To indicate the running time of the indicator unit in each first query period, SCH is the planned maintenance time, and B1≥95% is set;

[0022] The indicator light synchronization error time B2 is defined as the error of the starting time of the same color of the indicator unit in the same direction of the road, and B2≤3s is set;

[0023] The display accuracy B3 is defined as the accuracy of color switching in the display period of the indicator unit, and B3=100% is set;

[0024] Brightness compliance Where L min is the minimum value of the brightness of the indicator unit, and L max is the maximum value of the brightness of the indicator unit;

[0025] The running state evaluation of the lighting lamp unit in the traffic equipment includes the following contents:

[0026] The brightness compliance rate C1≥20lux; the energy consumption index 0 Where Φ total is the luminous flux of the lighting lamp unit, and ΔΦ is the luminous flux of the lighting lamp unit exceeding the ambient light threshold; the lighting lamp unit life achievement rate Where life act is the actual cumulative normal use time of the lighting lamp unit, and life exp is the nominal life of the lighting lamp unit.

[0027] Preferably, the running state evaluation of the network terminal includes the following contents:

[0028] The transmission delay T trans , Where T conn is the necessary time for the network terminal to establish a communication connection with the traffic equipment or the remote host; pack k represents the kth data packet, k=1,2,...,K, and the data packet is divided into K data packets by dividing the running data of the video monitoring unit, the indicator unit and the lighting lamp unit in the current first query period, and the size of each data packet is the same. The parameter K is obtained by dividing the running data by the standard size of a single data packet and then rounding up; T proc is the processing time of each data packet; R is the transmission rate of the network terminal; T prop is the necessary delay of data transmission, including the time for data to be packaged and stay at the network terminal; Cost(pack k , R max ) represents the additional delay caused by retransmission after data packet transmission fails, R0 represents the actual number of retransmissions, and Rmax R represents the maximum retry number of retransmission, R0≤R max ; T retry is the time interval of adjacent two retransmissions; I is an indication function, which is 1 when the current data packet is lost and 0 when the current data packet is not lost; PW is the priority weight coefficient, For real-time transmission occasions, the transmission delay T trans ≤3s; for non-real-time transmission occasions, the transmission delay T trans ≤30s;

[0029] The receiving success rate SR, Where loss k is the loss rate of the kth data packet.

[0030] Preferably, the evaluation report of the running state of the traffic equipment and the network terminal is graded according to the running state evaluation content of the video monitoring unit, the running state evaluation content of the indicator light unit, the running state evaluation content of the lighting lamp unit and the running state evaluation content of the network terminal:

[0031] 1) Emergency fault state, satisfying any of the following: the running state A1 of the video monitoring unit is 0, the indicator light unit does not work, the display accuracy B3 of the indicator light unit is less than 100% or the network terminal is offline;

[0032] 2) Serious fault state, satisfying any of the following: the frame loss rate A2 of the video monitoring unit is greater than 10%, the picture freezing A3 of the video monitoring unit is greater than 5%, the indicator light availability B1 of the indicator light unit is less than 95%, the indicator light synchronization error time B2 of the indicator light unit is greater than 3s, the brightness compliance B4 of the indicator light unit is 0; the network terminal sends a delay exceeding the set value in multiple different first query periods; the packet loss rate of the network terminal in multiple different first query periods is greater than 10%; the receiving success rate of the network terminal is less than 95%;

[0033] 3) Non-emergency fault state, satisfying any of the following: the brightness deviation A4 of the video monitoring unit is greater than 20%, the picture blurriness A5 of the video monitoring unit is greater than 5, the lighting lamp unit brightness compliance C1 is less than 20 lux, the energy consumption index C2 of the lighting lamp unit is greater than 0.2kwh, the light pollution index C3 of the lighting lamp unit is greater than 25% or the lighting lamp unit life achievement rate C4 is less than 90%;

[0034] 4) Normal state: the running state excluding the cases of 1), 2) and 3) is the normal state.

[0035] Preferably, the maintenance order according to the operating state in step S4 is limited in time, and the corresponding maintenance order is issued for the emergency fault state, the serious fault state and the non-emergency fault state, and the processing time limit is set for the maintenance order;

[0036] wherein T 指示灯 is the processing time limit set for the maintenance order of the indicator light unit, Q is the current intersection flow, Q max is the upper limit of the current intersection flow grading, Q min is the lower limit of the current intersection flow grading, T min is the shortest fault tolerance time when the current intersection flow is not less than the upper limit of the flow grading, which is divided into three grades of 5 minutes, 10 minutes and 15 minutes according to the severity of the fault state; T0 is the time reference corresponding to the lower limit of the flow grading; f is the first flow sensitivity coefficient, γ season is the seasonal flow factor, γ weather is the weather flow factor, T base is the basic travel time of the maintenance personnel from receiving the maintenance order to reaching the fault location, and g is the second flow sensitivity coefficient;

[0037] wherein T 视频监控 is the processing time limit set for the maintenance order of the video monitoring unit, u is the third flow sensitivity coefficient, and h is the congestion amplification coefficient;

[0038] wherein T 照明灯 is the processing time limit set for the maintenance order of the lighting lamp unit, λ is the fourth flow sensitivity coefficient, and δ is the delay coefficient;

[0039] If the maintenance order set processing time limit is reached, and the current period is the daytime traffic peak period, the maintenance personnel has not completed the order or has not reached the fault location, the current fault state grading is increased by one level until the emergency fault state is reached; if the maintenance order set processing time limit is reached, and the current period is the daytime non-traffic peak period or night, the current fault state grading is maintained.

[0040] Preferably, the specific content of step S5 is to define a maintenance level evaluation model E, E = E1 + E2 + E3, E1 is the fault processing efficiency score, T 设定 is the processing time limit set for the maintenance order, T 实际 is the actual processing time of the maintenance order, W is the operating state weight term, the values of the operating state weight terms corresponding to the emergency fault state, the serious fault state and the non-emergency fault state are 0.6, 0.3 and 0.1 respectively, U is the indicator function term, E2 is the fault change trend score, F is the sum of the number of times of emergency failure state and serious failure state in the first query period as the statistical period, and AF is the year-on-year change of the sum of the number of times of emergency failure state and serious failure state; E3 is the work order completion reliability score, E3=30% (V1R colse -V2R tf ), V1, V2 are adjustment coefficients, R close is the number of maintenance work orders closed on time in the statistical period, R tf is the number of times of emergency failure state and serious failure state of the same device occurring again in a given period; according to the score of the maintenance level evaluation model E, the execution department of different maintenance work orders is given a rating.

[0041] In another aspect, the application provides a GIS map-based traffic equipment operation supervision system for implementing the above method, comprising:

[0042] Traffic equipment and network terminals are configured at road node positions, and a remote host in wireless communication with the network terminals;

[0043] A GIS map module is configured to communicate with the remote host, associate the positions and working states of the traffic equipment and network terminals at the road nodes with the GIS map, and realize real-time display of the working states and positions;

[0044] A state patrol measurement configuration module is configured to generate a state patrol strategy for the traffic equipment and network terminals at the road nodes, so that the remote host obtains data fed back by the network terminals within a specified time;

[0045] An evaluation report generation module is in communication connection with the remote host and the GIS map module, configured to synchronize data received by the remote host, perform performance evaluation on the traffic equipment and network terminals, obtain an evaluation report of the running states of the traffic equipment and network terminals, and feed back the evaluation report to the remote host;

[0046] A maintenance work order dispatching module is configured to obtain the evaluation report of the running states of the traffic equipment and network terminals after synchronization with the remote host, issue a maintenance work order according to the running states, assign an execution department of the maintenance work order to process it within a limited time, and feed back the execution of the maintenance work order to the remote host;

[0047] The remote host evaluates the operation and maintenance level of the traffic equipment and network terminals according to the change trend of the evaluation report of the running states of the traffic equipment and network terminals and the execution of the maintenance work order.

[0048] The GIS map-based traffic equipment operation supervision method and system provided by the application have the following beneficial effects compared with the prior art:

[0049] (1) The application respectively formulates index items for the running state evaluation of the traffic equipment and the network terminal, judges whether the current traffic equipment and network terminal are in a reliable working state through the periodic analysis of the content of the index items, thereby timely dispatching maintenance work orders for time-limited and graded processing, avoiding the influence of traffic efficiency caused by faults, and making the traffic equipment work in a reliable state.

[0050] (2) After determining the fault, different levels of maintenance work orders are respectively sent out for emergency fault state, serious fault state and non-emergency fault state, different processing time limits are given, and the traffic flow, seasonal influence and weather factors also simultaneously affect the emergency degree of the fault maintenance work order and the passing time of the maintenance unit, forming a two-way pressure, so the above factors are considered when setting the processing time limit.

[0051] (3) Combined with the running state evaluation of the traffic equipment and the network terminal and the processing of the fault maintenance work order, a maintenance level evaluation model is defined, the level of equipment operation and maintenance is evaluated according to the time, fault ring ratio change and fault secondary occurrence probability executed by different maintenance departments, data-based operation and maintenance control is realized, and equipment risks are timely discovered and prevented. BRIEF DESCRIPTION OF DRAWINGS

[0052] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained without creative labor on the basis of these drawings.

[0053] Figure 1 The step flow chart of the traffic equipment operation monitoring method and system based on GIS map. DETAILED DESCRIPTION

[0054] The technical solutions in the embodiments of the present application will be described clearly and completely in combination with the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0055] The traditional traffic equipment maintenance and management relies on manual patrol, manual input and dispatch of work orders by each manufacturer, resulting in a long maintenance period and slow response speed. For fault processing, there is a certain delay, and this passive maintenance method seriously affects the urban road traffic operation efficiency. In view of this, like Figure 1As shown, in one aspect, the present application provides a GIS map-based traffic equipment operation supervision method, comprising the following steps:

[0056] S1: configure traffic equipment and network terminal at road node position, the traffic equipment is used to acquire image or indicate road traffic state at the node of the road; the network terminal is in communication connection with adjacent traffic equipment, and is used for wireless communication with the traffic equipment and remote host.

[0057] The road node is usually the intersection, T-shaped intersection, ramp and other areas with large flow. The traffic equipment includes video monitoring unit, indicating light unit and lighting lamp unit; the traffic equipment regularly sends image or operation data indicating road traffic state to the network terminal.

[0058] The traffic equipment is usually configured at the part extending to the road width direction on the top of the tower pole, and the network terminal is configured on the side of the tower pole, so as to facilitate debugging and maintenance, and the height of the network terminal does not exceed half of the height of the tower pole. In the embodiment, the network terminal can be selected from NB-IOT Internet of Things terminal, and wireless transmission terminal based on WIFI or 2G / 3G / 4G operator network. The video monitoring unit is mainly used for monitoring vehicle traffic condition, and recording and identifying illegal behavior; the indicating light unit is used for prompting alternating traffic of vehicles / pedestrians at the intersection; and the lighting lamp unit is used for light supplement of the video monitoring unit.

[0059] S2: associate the position and working state of the traffic equipment and network terminal at the road node with the GIS map.

[0060] GIS is the abbreviation of geographic information system, which is a computer-based tool for checking geographic spatial relationship, and is a map visualization tool based on actual geographic data, which is convenient for understanding position information and relative distance, so as to arrange the execution department of maintenance work order to handle the exception according to the distance displayed on the GIS map according to possible faults.

[0061] S3: configure state patrol strategy for the traffic equipment and network terminal at the road node, so that the network terminal feeds back data within a specified time, and the remote host performs performance evaluation on the traffic equipment and network terminal according to the feedback data, to obtain the evaluation report of the running state of the traffic equipment and network terminal.

[0062] The configuration mentioned herein is for the state inspection strategy of the traffic equipment and network terminal at the road node, which is to query the state of the traffic equipment and network terminal at each road node in turn according to the fixed first query period T1, the range of the section or the extension direction of the road, and evaluate the running state of the traffic equipment and network terminal according to the data fed back by the network terminal; or randomly inspect the state of the traffic equipment and network terminal at any several non-adjacent road nodes, and evaluate the running state of the traffic equipment and network terminal according to the type of the traffic equipment, the quality of the content of the output data and the processing time of the network terminal, to obtain the evaluation report of the running state of the traffic equipment and network terminal.

[0063] The step is divided into four different parts for different traffic equipment and network terminals.

[0064] The first part: the running state evaluation of the video monitoring unit in the traffic equipment includes the following contents:

[0065] Running state A1∈[1, 0]; the running state has only two, i.e. running state 1 and stop state 0.

[0066] Frame loss rate Totalframes is the number of output frames of the video monitoring unit theoretically obtained by the network terminal within the adjacent first query period, Lostfarames is the deviation of the number of output frames of the video monitoring unit actually obtained by the network terminal within the adjacent first query period T1 from Totalframes; the frame loss rate reflects the reliability of the output data of the video monitoring unit to the network terminal.

[0067] Picture freezing Sameframes is the number of output frames of the video monitoring unit with the same content obtained by the network terminal within the adjacent first query period; picture freezing is mainly that the picture does not change with the passage of time, which will cause the loss and incompleteness of the video content. Picture freezing is usually continuously detected for a certain number of different frames in different sampling periods, and if the contents of these frames are completely the same, it is considered that the picture is frozen.

[0068] Brightness deviation max{·} is the maximum value operation, Goal_Brightness is the expected brightness of the image of the video monitoring unit, represents the historical brightness value when the video monitoring unit is continuously evaluated qualified for the last J times, J is an odd number greater than or equal to 5, j = 1, 2,..., J, ω j represents the weight of the historical brightness value, ω j = β J-j, β is an attenuation index, 0 < β < 1; avg_Brightness is the average brightness of all output frames of the video monitoring unit actually acquired by the network terminal in the current first query period; the video picture is too bright or too dark, which will affect the quality of imaging, resulting in an undesirable observation effect.

[0069] Picture blur index A5 = BlurStrength adj = BlurStrength x (1 + a season + a weather ), wherein BlurStrength is the average gradient of at least one image I(x, y) randomly selected from the output frames of the video monitoring unit actually acquired by the network terminal in the current first query period, is the gradient amplitude of at least one image I(x, y), and x and y are pixel coordinates of at least one image I(x, y), x = 1, 2,..., M, y = 1, 2,..., N, G x and G y are the gradients of at least one image I(x, y) in the horizontal direction and the vertical direction, respectively; a season is a seasonal blur factor, a season = 0.01T avg - 0.01H avg , T avg is the average temperature of the last week, and H avg is the average relative humidity of the last week; BlurStrength adj is the average gradient of at least one image I(x, y) after adjustment by the weather blur factor and the seasonal blur factor; a weather is a weather blur factor, a weather = 0.05P + 0.01AQI - 0.01V, P is the numerical value of the precipitation of the last week, AQI is the air quality index at the current time, and V is the visibility at the current time.

[0070] Picture blur reflects the degree of image blur, which is usually caused by video monitoring unit shaking or inaccurate focusing. In this embodiment, the gradient and the gradient amplitude of the image are calculated, and finally the average gradient is obtained as an evaluation index. If the image is severely blurred, the average gradient value will be lower, and if the image is clear, the average gradient value will be higher. When calculating the average gradient, the influence of the weather blur factor and the seasonal blur factor is also considered. Seasonal changes will affect factors such as light and humidity, for example, in autumn and winter, humidity and low temperature images can cause image blur; weather factors, such as fog, rain and snow, also have a great influence on image clarity, and poor weather will affect the clarity of the image. The seasonal blur factor is calculated according to the average temperature and the average relative humidity. The weather blur factor is calculated according to the precipitation, air quality and visibility of the last week.

[0071] The second part: the running state evaluation of the indicator light unit in the traffic equipment includes the following contents:

[0072] Indicator light availability Wherein Run act is the running time of the indicator light unit in each first query period, SCH is the planned maintenance time, and B1 is set to be greater than or equal to 95%; the numerator is the cumulative running time excluding the planned maintenance time, and the denominator is all the time including the planned maintenance time, normal use and failure. According to the set threshold, it can be judged whether the proportion of failure time is too high.

[0073] Indicator light synchronization error time B2, defined as the error of the starting time of the same color of the road same direction indicator light unit, set B2≤3s; the same direction indicator light unit should have good synchronous change characteristics, considering the allowable deviation of time, set 3 seconds of acceptable synchronization delay.

[0074] Display accuracy B3, defined as the accuracy of color switching in the display period of the indicator light unit, set B3=100%; in the working time excluding the synchronization delay, the color preparation of the indicator light unit is forced to be 100%, otherwise it indicates a failure.

[0075] Brightness compliance Wherein L min is the minimum value of the brightness of the indicator light unit, L max is the maximum value of the brightness of the indicator light unit; the minimum and maximum values of the brightness are different in the daytime and at night.

[0076] The third part: the running state evaluation of the lighting lamp unit in the traffic equipment includes the following contents:

[0077] Brightness compliance rate C1≥20lux; energy consumption index 0 Wherein Φ total is the luminous flux of the lighting lamp unit, and ΔΦ is the luminous flux of the lighting lamp unit exceeding the ambient light threshold; lighting lamp unit life achievement rate Wherein life act is the actual cumulative normal use time of the lighting lamp unit, and life exp is the nominal life of the lighting lamp unit.

[0078] The fourth part: the running state evaluation of the network terminal includes the following contents:

[0079] Transmission delay T trans , Wherein T connthe necessary time for the network terminal to establish a communication connection with the traffic equipment or the remote host; pack k represents the kth data packet, k = 1, 2, …, K, the data packet packetization is to divide the running data sent by the video monitoring unit, the indicator light unit and the lighting lamp unit in the current first query period into K data packets, the size of each data packet is the same, and the parameter K is obtained by dividing the running data by the standard size of a single data packet and then rounding up; T proc is the processing time of each data packet; R is the transmission rate of the network terminal; T prop is the necessary delay for data transmission, including the packetization and residence waiting time of data at the network terminal; Cost(pack k , R max ) represents the additional delay caused by retransmission after the data packet transmission fails, R0 represents the actual number of retransmissions, R max represents the maximum number of retries for retransmission, R0≤R max ; T retry is the time interval between adjacent two retransmissions; I is an indicator function, which is 1 when the current data packet is lost and 0 when it is not lost; PW is the priority weight coefficient, For real-time transmission occasions, the transmission delay T trans ≤ 3s; for non-real-time transmission occasions, the transmission delay T trans ≤ 30s; the time interval between adjacent two retransmissions can be set to 1 second; the maximum number of retries is more than 3 odd numbers.

[0080] The success rate of receiving SR, where loss k is the packet loss rate of the kth data packet.

[0081] According to the above running state evaluation content of the video monitoring unit, the running state evaluation content of the indicator light unit, the running state evaluation content of the lighting lamp unit and the running state evaluation content of the network terminal, the running state is graded and evaluated, including the following grades:

[0082] 1) Emergency failure state, satisfying any of the following: the running state A1 of the video monitoring unit is 0, the indicator light unit does not work, the display accuracy B3 of the indicator light unit is less than 100% or the network terminal is offline;

[0083] 2) serious fault state, satisfying any of the following: frame loss rate A2 of the video monitoring unit > 10%, picture freezing A3 of the video monitoring unit > 5%, indicator light availability B1 of the indicator light unit < 95%, indicator light synchronization error time B2 of the indicator light unit > 3s, brightness compliance B4 of the indicator light unit = 0; network terminal sending delay exceeds the set value in multiple different first query periods; packet loss rate of the network terminal in multiple different first query periods > 10%; receiving success rate of the network terminal < 95%;

[0084] 3) non-emergency fault state, satisfying any of the following: brightness deviation A4 of the video monitoring unit > 20%, picture blurriness A5 of the video monitoring unit > 5, illumination lamp unit brightness compliance rate C1 < 20 lux, illumination lamp unit energy consumption index C2 > 0.2kwh, illumination lamp unit light pollution index C3 > 25% or illumination lamp unit life achievement rate C4 < 90%;

[0085] 4) normal state: operating state excluding the cases of levels 1), 2) and 3), which is the normal state.

[0086] Different levels correspond to different severity, and the required processing time is extended from top to bottom.

[0087] S4: After the remote host obtains the evaluation report of the operating state of the traffic equipment and the network terminal, a maintenance work order is issued according to the operating state, and the processing is limited in time.

[0088] The specific content of step S4 is to issue corresponding maintenance work orders for the emergency fault state, the serious fault state and the non-emergency fault state, and to set the processing time limit for the maintenance work order;

[0089] wherein T 指示灯 is the processing time limit set for the maintenance work order of the indicator light unit, Q is the current intersection flow, Q max is the upper limit of the current intersection flow level, Q min is the lower limit of the current intersection flow level, T min is the shortest fault tolerance time when the current intersection flow is not less than the upper limit of the flow level, which is divided into three grades of 5 minutes, 10 minutes and 15 minutes according to the severity of the fault state; T0 is the time reference corresponding to the lower limit of the flow level; f is the first flow sensitivity coefficient, γ season is the seasonal flow factor, γ wather is the weather flow factor, T baseThe basic travel time of the maintenance personnel to reach the fault location after receiving the maintenance work order, g is the second flow sensitive coefficient; the indicator light is the device for guiding traffic at the intersection, which has the most important priority, but the traffic flow affects the processing time limit of the work order on the one hand, and on the other hand, it also reflects the road congestion of the maintenance personnel to reach the scene, which may cause the travel time to be prolonged, so the processing time limit needs to be considered comprehensively, and a fixed value cannot be simply set. In spring, summer and autumn, the braking distance usually changes slightly, so the seasonal flow factor can be set to 1, and in winter, if there is an area with icy road, the braking distance will increase, so the seasonal flow factor can be appropriately adjusted to 0.8, which corresponds to the driving safety distance; in the weather flow factor, rain and snow will cause the road surface to be slippery, and the visibility will decrease significantly in foggy weather, so the weather flow factor also needs to be appropriately adjusted, such as 0.5 in rain and snow, 0.7 in fog, and 1 in cloudy and sunny weather.

[0090] T = T 0 * g * h 视频监控 The processing time limit set for the maintenance work order of the video monitoring unit, u is the third flow sensitive coefficient, and h is the congestion amplification coefficient; similarly, the influence of seasons and weather needs to be considered, and in winter, the sunshine time is short, and the monitoring data is more relied on, so the seasonal flow factor can be adjusted to 0.9; in rainy and snowy weather, the accident rate rises, and the video monitoring equipment needs to be quickly restored, so the weather flow factor can be adjusted to 0.5-0.6.

[0091] T = T 0 * g * h 照明灯 The processing time limit set for the maintenance work order of the lighting lamp unit, λ is the fourth flow sensitive coefficient, and δ is the delay coefficient; the working time of the lighting lamp is obviously related to the season and the weather, and in winter, the night time is long, and the demand for lighting is higher, so the seasonal flow factor can be adjusted to 0.7-0.8; in bad weather, the lighting needs to be supplemented to improve the image quality, so the weather flow factor can be adjusted to 0.5.

[0092] If the maintenance work order set processing time limit is reached, and the current period is the daytime traffic peak period, the maintenance personnel have not processed the work order or have not reached the fault location, then the current fault state classification is increased by one level until the emergency fault state is reached; if the maintenance work order set processing time limit is reached, and the current period is the daytime non-traffic peak period or night, then the current fault state classification is maintained. When actually allocating the maintenance work order, the GIS map can be combined to select the maintenance personnel or team closest to the fault location to respond.

[0093] If the maximum time is reached, the fault location is not reached or the maintenance is not completed, the current period and the intersection flow are considered respectively, if it is night or daytime, the traffic flow is less, the current fault state classification can be maintained, and timely maintenance can be performed; if it is a daytime traffic congestion period, the normal work of the traffic equipment needs to be restored in the shortest time, and long time out is not allowed.

[0094] S5: The remote host evaluates the operation and maintenance level of the traffic equipment and the network terminal according to the change trend of the evaluation report of the operation state of the traffic equipment and the network terminal and the execution of the maintenance work order.

[0095] The specific content of step S5 is to define a maintenance level evaluation model E, E=E1+E2+E3, E1 is a fault handling efficiency score, T 设定 The processing time limit set for the maintenance work order, T 实际 The actual processing time of the maintenance work order, W is an operation state weight term, the values of the operation state weight terms corresponding to the emergency fault state, the serious fault state and the non-emergency fault state are 0.6, 0.3 and 0.1 respectively, U is an indicator function term, E2 is a fault change trend score, F is the sum of the number of emergency fault states and serious fault states in a plurality of first query periods as a statistical period, ΔF is the year-on-year change amount of the sum of the number of emergency fault states and serious fault states; E3 is a work order completion reliability score, E3=30% (V1R close -V2R tf ), V1, V2 are adjustment coefficients, R close is the number of maintenance work orders closed on time in the statistical period, R tf is the number of times of emergency fault states and serious fault states of the same equipment occurring again in a given period; according to the score of the maintenance level evaluation model E, the execution department of different maintenance work orders is given a rating.

[0096] The score of the maintenance level evaluation model is normalized to the interval of 0-100, with 60 and 75 as two nodes, less than 60 points indicates that the execution department does not repair the fault in time after receiving the maintenance work order, which leads to the promotion of the fault state classification, and there is a major operation and maintenance loophole that needs to be rectified in time; if the score of the maintenance level evaluation model is between 60-75 points, it indicates that there is obvious processing delay or repeated fault phenomenon, process control needs to be strengthened, and business level needs to be improved; when the score of the maintenance level evaluation model is greater than 75 points, it indicates that the maintenance task can be completed on time.

[0097] On the other hand, the application provides a traffic equipment operation supervision system based on a GIS map, which is used to implement the above method, comprising:

[0098] The traffic equipment and network terminal are configured at the road node position, and a remote host in wireless communication with the network terminal;

[0099] A GIS map module is used to associate the position and working state of the traffic equipment and network terminal at the road node with the GIS map in communication with the remote host, so as to realize real-time display of the working state and position;

[0100] A state patrol measurement configuration module is used to generate a state patrol strategy for the traffic equipment and network terminal at the road node, so that the remote host obtains the data fed back by the network terminal within a specified time;

[0101] An evaluation report generation module is in communication connection with the remote host and the GIS map module, and is used to synchronize the data received by the remote host, to perform performance evaluation on the traffic equipment and network terminal, to obtain an evaluation report of the running state of the traffic equipment and network terminal, and to feed back the evaluation report to the remote host;

[0102] A maintenance work order dispatching module is used to obtain the evaluation report of the running state of the traffic equipment and network terminal after synchronization of the remote host, to issue a maintenance work order according to the running state, to assign an execution department of the maintenance work order to process in a limited time, and to feed back the execution of the maintenance work order to the remote host;

[0103] The remote host evaluates the running maintenance level of the traffic equipment and network terminal according to the change trend of the evaluation report of the running state of the traffic equipment and network terminal and the execution of the maintenance work order.

[0104] The above only describes the preferred embodiments of the present application, and is not used to limit the present application, and any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for supervising the operation of traffic equipment based on GIS map, characterized in that: The steps include: S1: Traffic equipment and network terminals are configured at road nodes. The traffic equipment is used to obtain images of road nodes or indicate road traffic status. The network terminal is connected to adjacent traffic equipment and is used to wirelessly communicate with the traffic equipment and a remote host. The traffic equipment includes a video monitoring unit, an indicator light unit, and a lighting unit. S2: Associating the location and working status of traffic equipment and network terminals at road nodes with the GIS map; S3: Configure a status inspection strategy for traffic equipment and network terminals at road nodes. The remote host evaluates the performance of the traffic equipment and network terminals based on the data fed back by the network terminals within a specified time period, and obtains an evaluation report on the operating status of the traffic equipment and network terminals. The configuration described in step S3 is for the status inspection strategy of the traffic equipment and network terminals at the road nodes. The strategy is to query the status of the traffic equipment and network terminals at each road node in sequence according to the area range or the extension direction of the road according to a fixed first query period T1, and evaluate the operating status of the traffic equipment and network terminals based on the data received from the network terminals; or randomly select the status of the traffic equipment and network terminals at a number of non-adjacent road nodes for query, and evaluate the operating status of the traffic equipment and network terminals based on the data received from the network terminals, the type of traffic equipment, the quality of the output data, and the processing time of the network terminals, to obtain an evaluation report on the operating status of the traffic equipment and network terminals. S4: After the remote host obtains the evaluation report of the operating status of the traffic equipment and network terminals, it issues a maintenance work order based on the operating status and processes it within a limited time; S5: The remote host evaluates the operation and maintenance level of the transportation equipment and network terminals according to the change trend of the evaluation report of the operation status of the transportation equipment and network terminals and the execution status of the maintenance work order.

2. A method for supervising the operation of traffic equipment based on GIS map according to claim 1, characterized in that: Traffic equipment regularly sends images or operating data indicating road traffic status to network terminals.

3. The method for supervising the operation of traffic equipment based on GIS map according to claim 1, characterized in that: The operational status assessment of the video surveillance unit in traffic equipment includes the following: Running state A1∈[1,0]; Frame loss rate Totalframes is the theoretical number of output frames of the video surveillance unit obtained by the network terminal in the adjacent first query cycle, and Lostfarames is the deviation between the number of output frames of the video surveillance unit actually obtained by the network terminal in the adjacent first query cycle T1 and Totalframes; Screen freeze Sameframes is the number of output frames of the video surveillance unit with the same content obtained by the network terminal in adjacent first query cycles; Brightness deviation max{·} is the maximum value operation, Goal_Brightness is the expected brightness of the image of the video surveillance unit, b j =b1, b2, ..., b J Represents the historical brightness value when the video surveillance unit has been continuously evaluated as qualified for the last J times, where J is an odd number greater than or equal to 5, j = 1, 2, ..., J, ω j Represents the weight of the historical brightness value, ω j =β J-j , β is the attenuation index, 0<β<1; avg_Brightness is the average brightness of all output frames of the video surveillance unit actually obtained by the network terminal in the current first query cycle; Image blur index A5 = Blur Strength adj =BlurStrength×(1+α season +α weather ), where BlurStrength is the average gradient of at least one image I(x, y) randomly selected from the output frame of the video surveillance unit actually obtained by the network terminal in the current first query cycle, is the gradient magnitude of at least one image I(x, y), x and y are the pixel coordinates of at least one image I(x, y), x = 1, 2, ..., M, y = 1, 2, ..., N, G x and G y are the gradients of at least one image I(x, y) in the horizontal and vertical directions respectively; α season is the seasonal fuzzy factor, α season =0.01T avg -0.01H avg , T avg is the average temperature in the past week, H avg is the average relative humidity in the past week; BlurStrength adj is the average gradient of at least one image I(x,y) after adjustment by weather fuzzy factor and season fuzzy factor; weather is the weather fuzzy factor, α weather =0.05P+0.01AQI-0.01V, P is the precipitation value in the past week, AQI is the air quality index at the current moment, and V is the visibility at the current moment.

4. The method for supervising the operation of traffic equipment based on GIS map according to claim 3 is characterized in that: The operational status assessment of indicator light units in traffic equipment includes the following: Indicator light availability Run act is the operating time of the indicator unit in each first query cycle, SCH is the planned maintenance time, and B1 is set to ≥ 95%; The indicator light synchronization error time B2 is defined as the error between the start time of the indicator light units of the same color in the same direction of the road, and is set to B2≤3s; Display accuracy B3 is defined as the accuracy of color switching within the display cycle of the indicator light unit, and B3 is set to 100%; Brightness compliance Among them L min L is the minimum brightness of the indicator light unit. max The maximum brightness of the indicator light unit; The operational status assessment of lighting units in traffic equipment includes the following: Brightness compliance rate C1 ≥ 20 lux; energy consumption index 0 < C2 ≤ 0.2 kwh; light pollution index where Φ total is the luminous flux of the lighting unit, ΔΦ is the luminous flux of the lighting unit exceeding the ambient light threshold; the lighting unit life achievement rate Among them life act The actual accumulated normal use time of the lighting unit, life exp It is the nominal life of the lighting unit.

5. The method for supervising the operation of traffic equipment based on GIS map according to claim 4 is characterized in that: The operational status assessment of network terminals includes the following: Transmission delay T trans , Where T conn The time necessary for a network terminal to establish a communication connection with a traffic device or a remote host; k represents the kth data packet, k = 1, 2, ..., K. Data packet segmentation is to divide the operating data sent by the video surveillance unit, indicator light unit, and lighting unit in the current first query cycle into K data packets. The size of each data packet is the same. The parameter K is obtained by dividing the operating data by the standard size of a single data packet and then rounding up. T proc is the processing time of each data packet; R is the transmission rate of the network terminal; T prop Cost (pack k , R max ) indicates the additional delay caused by retransmission after data packet transmission fails. R0 represents the actual number of retransmissions, R max Indicates the maximum number of retry attempts for retransmission, R0≤R max ;T retry is the time interval between two adjacent retransmissions; I is the indicator function, which is 1 when the current data packet is lost and 0 when it is not lost; PW is the priority weight coefficient, For real-time transmission, the transmission delay T trans ≤3s; For non-real-time transmission, the transmission delay is T trans ≤30s; Receiving success rate SR, Among them, loss k is the packet loss rate of the kth data packet.

6. The method for supervising the operation of traffic equipment based on GIS map according to claim 5, characterized in that: The evaluation report on the operating status of traffic equipment and network terminals is a hierarchical evaluation of the operating status based on the evaluation contents of the video monitoring unit, the indicator light unit, the lighting unit, and the network terminal: 1) Emergency fault state, any of the following is met: the operating state A1 of the video surveillance unit is 0, the indicator light unit is not working, the display accuracy rate B3 of the indicator light unit is less than 100%, or the network terminal is offline; 2) Serious fault state, any of the following is met: the frame loss rate A2 of the video surveillance unit is greater than 10%, the screen freeze A3 of the video surveillance unit is greater than 5%, the indicator light availability rate B1 of the indicator light unit is less than 95%, the indicator light synchronization error time B2 of the indicator light unit is greater than 3s, and the brightness compliance of the indicator light unit B4 is 0; the transmission delay of the network terminal exceeds the set value in multiple different first query cycles; the packet loss rate of the network terminal is greater than 10% in multiple different first query cycles; the reception success rate of the network terminal is less than 95%; 3) In a non-emergency fault state, any of the following conditions is met: the brightness deviation of the video surveillance unit A4 is greater than 20%, the image blur of the video surveillance unit A5 is greater than 5, the lighting unit brightness compliance rate C1 is less than 20 lux, the lighting unit energy consumption index C2 is greater than 0.2 kwh, the lighting unit light pollution index C3 is greater than 25%, or the lighting unit life achievement rate C4 is less than 90%; 4) Normal state: The operating state excluding the situations in classification 1), 2) and 3) is the normal state.

7. The method for supervising the operation of traffic equipment based on GIS map according to claim 6, characterized in that: The step S4, in which maintenance work orders are issued according to the operating status and processed within a time limit, is to issue corresponding maintenance work orders for emergency fault status, serious fault status and non-emergency fault status respectively, and set a processing time limit for the maintenance work orders; Where T 指示灯 Set the processing time limit for the maintenance work order of the indicator light unit, Q is the current intersection traffic, Q max is the upper limit of the current intersection traffic classification, Q min is the lower limit of the current intersection traffic classification, T min is the shortest fault tolerance time when the current intersection flow rate is not less than the upper limit of the flow classification, which is divided into three levels of 5 minutes, 10 minutes and 15 minutes according to the severity of the fault state; T0 is the time base corresponding to the lower limit of the flow classification; f is the first flow sensitivity coefficient, γ season is the seasonal flow factor, γ weather is the weather flow factor, T base is the basic travel time for maintenance personnel to reach the fault location after receiving the maintenance work order, and g is the second flow sensitivity coefficient; Where T 视频监控 The processing time limit set for the maintenance work order of the video surveillance unit, u is the third flow sensitivity coefficient, and h is the congestion amplification factor; Where T 照明灯 Set a processing time limit for the maintenance work order of the lighting unit, λ is the fourth flow sensitivity coefficient, and δ is the delay coefficient; If the maintenance work order processing time limit is reached and the current time period is during daytime peak traffic hours, and the maintenance personnel have not completed the work order or have not arrived at the fault location, the current fault status will be upgraded one level until it reaches an emergency fault status; If the processing time limit set for the maintenance work order is reached and the current time period is during non-peak traffic hours during the day or at night, the current fault status classification will be maintained.

8. The method for supervising the operation of traffic equipment based on GIS map according to claim 7 is characterized in that: The specific content of step S5 is to define the maintenance level evaluation model E, E = E1 + E2 + E3, E1 is the fault handling efficiency score, T 设定 The processing time limit set for the maintenance work order, T 实际 To maintain the actual processing time of the work order, W is the operation status weight item. The values ​​of the operation status weight items corresponding to the emergency fault state, serious fault state and non-emergency fault state are 0.6, 0.3 and 0.1 respectively. U is the indicator function item. E2 is the fault change trend score, F is the sum of the number of emergency fault states and serious fault states within the statistical period of several first query cycles, ΔF is the month-on-month change in the sum of the number of emergency fault states and serious fault states; E3 is the work order completion reliability score, E3 = 30% (V1R close -V2R tf ), V1 and V2 are adjustment coefficients, R close is the number of maintenance work orders closed on time during the statistical period, R tf The number of times the same equipment experiences an emergency fault or serious fault within a given period. The rating of the execution department of different maintenance work orders is given based on the score of the maintenance level evaluation model E.

9. A traffic equipment operation supervision system based on GIS map, used to implement the method according to any one of claims 1 to 8, characterized in that: include: Configuring traffic equipment and network terminals at road node locations, as well as a remote host for wireless communication with the network terminals; GIS map module, used to communicate with the remote host, associate the location and working status of traffic equipment and network terminals at road nodes with the GIS map, and realize real-time display of working status and location; The status inspection measurement configuration module is used to generate status inspection strategies for traffic equipment and network terminals at road nodes, so that the remote host can obtain data fed back by the network terminals within a specified time. An evaluation report generation module is connected to the remote host and the GIS map module for synchronizing the data received by the remote host, performing performance evaluation on the traffic equipment and network terminals, obtaining an evaluation report on the operating status of the traffic equipment and network terminals, and feeding the evaluation report back to the remote host; The maintenance work order dispatching module is used to obtain the evaluation report of the operation status of the transportation equipment and network terminals obtained by the remote host, issue maintenance work orders based on the operation status, and assign the execution department of the maintenance work order to process it within a limited time; And feedback the execution status of maintenance work orders to the remote host; The remote host evaluates the operation and maintenance level of the transportation equipment and network terminals based on the change trend of the evaluation report of the operation status of the transportation equipment and network terminals and the execution status of the maintenance work orders.

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