CN110610607A - Traffic-based SCATS control scheme operation cycle automatic diagnosis method and system - Google Patents
Traffic-based SCATS control scheme operation cycle automatic diagnosis method and system Download PDFInfo
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- CN110610607A CN110610607A CN201910680179.2A CN201910680179A CN110610607A CN 110610607 A CN110610607 A CN 110610607A CN 201910680179 A CN201910680179 A CN 201910680179A CN 110610607 A CN110610607 A CN 110610607A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
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- G—PHYSICS
- G08—SIGNALLING
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- G08G1/00—Traffic control systems for road vehicles
- G08G1/097—Supervising of traffic control systems, e.g. by giving an alarm if two crossing streets have green light simultaneously
Abstract
A method for automatically diagnosing the operation period of an SCATS control scheme based on flow comprises the following steps: 1) obtaining effective historical multi-day SCATS traffic parameters and control scheme data of the intersection, dividing the traffic parameters and the control scheme data according to a certain time interval, and obtaining all historical flow and maximum and minimum control scheme cycle data in the time interval; 2) judging whether the running period of the historical control scheme of the intersection is self-adaptive or not; 3) for the intersection with the self-adaptive period, a mapping function of the flow and the period is calculated, a flow specific flow quantile value is found and is respectively mapped to the maximum period and the minimum period, and a class activation function is constructed and used for mapping the fluctuating flow to the period. 4) For intersections with the period which cannot be self-adapted, a judgment result of locking of the period abnormity is given; and for the intersection with the self-adaptive period, calculating the current time flow to obtain a period theoretical value, and diagnosing the rationality of the actual period according to the theoretical value. The invention also includes a system for carrying out the method of the invention.
Description
Technical Field
The invention relates to a diagnostic method and a diagnostic system for a Sydney adaptive traffic control system SCATS control scheme.
Background
Traffic systems are important infrastructure to ensure human production, life, and economic development. With the development of the era and the improvement of science and technology, the contradiction between supply and demand of traffic is increasingly aggravated, and an Intelligent Transportation System (ITS) is used as a novel traffic control service System, so that a new way is provided for solving the problem of urban traffic. The intelligent traffic signal control system is one of the most basic components in the intelligent traffic system, and various perfect traffic signal control systems are available. A Sydney Coordinated Adaptive Traffic System (SCATS), which is developed by the state road Traffic office (RTA) of new south wales in australia, is one of the more advanced urban Traffic signal control systems in the world today.
SCATS has been applied in dozens of cities in China, and the main signal control method of the system comprises fixed timing control, adaptive control and manual regulation. The timing personnel can set different schedule commands for the intersection, so that the intersection fixedly executes a set of control scheme; the timing personnel can also design a plurality of timing schemes according to the historical data of the traffic flow of the intersection, and the timing schemes are input into the signal control system as a preset fixed scheme and a self-adaptive scheme, and the system self-adaptively adjusts the control scheme according to the monitored traffic condition; meanwhile, timing personnel monitor the traffic condition of the road network, and adjust the timing scheme of the special intersection in a targeted manner when major accidents or sudden changes of the traffic flow occur.
In traffic signal timing, the setting of the operation scheme period is an important link, the operation condition of the intersection is related, the short period may not meet the traffic capacity of the road network, the long period may cause the intersection to be free, and the traffic efficiency is reduced. In the SCATS system, the adaptive adjustment of the period is related to the saturation (DS) calculated by the system through the current intersection flow, and as shown in FIG. 1, after a timing person sets the period parameters, the system can adaptively adjust the scheme period according to the real-time road network condition.
However, in recent years, as various signal control systems are put into use, the traffic data volume is increased sharply, various data quality problems are caused, and the adaptive period obtained by the system according to the relation of fig. 1 is not matched with the intersection traffic condition, so that the normal adaptive control of the system is influenced. In addition, the personnel manpower of the timing is limited, when manual regulation or schedule command setting and timing scheme fixing are carried out, the rationality of the regulated and set scheme cannot be ensured, and the traffic passing efficiency can be reduced due to unreasonable traffic parameters or abnormal locking of the scheme. To solve this problem, the rationality of the SCATS signal control scheme needs to be diagnosed in combination with the available traffic capacity of the current road network. The traffic capacity of the road network is described directly and essentially, namely the traffic flow of the road network, and most of the rest traffic parameters are visual or lateral descriptions of the traffic, so that the SCATS control scheme operation period diagnosis method based on the traffic data can be designed.
In the existing research, experts and scholars at home and abroad have a lot of achievements in road traffic capacity, service level and intersection signal setting, but the evaluation method specially aiming at the parameter setting control of the intersection signal control scheme is relatively few. The research on signal control evaluation and diagnosis at home and abroad mostly stays on the establishment of an evaluation index system and the selection of specific indexes, and no consistent conclusion is made in the aspect of intersection signal control effect evaluation. Most researches discuss the intersection signal control effect from the academic aspect, establish an evaluation system based on simulation, do not think how to diagnose the whole process and effect from the aspect of actual operation of the signal control system, and carry out signal optimization on the places where medicines are taken according to symptoms.
Disclosure of Invention
The invention provides a method and a system for automatically diagnosing the operation period of the SCATS control scheme based on the flow, aiming at overcoming the defects in the prior art and improving the matching degree of the intersection control scheme and the road network traffic state in order to realize the reasonability of the operation period of the SCATS control scheme based on the flow.
The technical scheme adopted by the invention for solving the technical problems is as follows:
a method for automatically diagnosing the operation period of a traffic-based SCATS control scheme, the method comprising the steps of:
1) obtaining effective historical multi-day SCATS traffic parameters and control scheme data of the intersection, dividing the traffic parameters and the control scheme data according to a certain time interval, and obtaining all historical flow and maximum and minimum control scheme cycle data in the time interval;
2) judging whether the running period of the historical control scheme of the intersection is self-adaptive or not;
3) for the intersection with the self-adaptive period, a mapping function of the flow and the period is calculated, a flow specific flow quantile value is found and is respectively mapped to the maximum period and the minimum period, and a class activation function is constructed and used for mapping the fluctuating flow to the period.
Further, the method further comprises:
4) for intersections with the period which cannot be self-adapted, a judgment result of locking of the period abnormity is given; and for the intersection with the self-adaptive period, calculating the current time flow to obtain a period theoretical value, and diagnosing the rationality of the actual period according to the theoretical value.
Further, the signal control scheme data includes, but is not limited to, control scheme cycles, times, etc. of operation of the scats system; traffic parameters include, but are not limited to, traffic flow, etc.
Further, the self-adaptive judgment method for the operation period of the control scheme is as follows:
the SCATS system provides functions of manual locking of a control scheme and schedule command setting, and usually locks the control scheme period of the intersection when abnormal conditions occur or are necessary, so that the intersection runs the same control scheme within a certain time, and self-adaptive adjustment is not carried out along with the change of traffic parameters. Generally, a locking scheme does not last for a long time, and if unlocking is forgotten manually, the intersection keeps the same scheme for a long time, so that certain influence is caused on traffic signal control. At this time, the control scheme of the intersection is locked abnormally, and adaptive control cannot be performed normally.
Further, the method for selecting the traffic quantile value comprises the following steps:
statistical time interval TiThe obtained flow distribution has two wave peaks which are respectively positioned at a smaller flow value and a larger flow value. The wave crests have different forms and represent different flow meanings, so that for low-flow wave crests, a quantile value P of flow distribution can be taken1As the threshold flow reaching the minimum period, the high flow wave crest contains more flow values, and the flow quantile value P can be taken2As the threshold flow to reach the maximum period.
Further, the method for constructing the mapping function of the flow and the period is as follows:
in order to ensure the traffic safety and efficiency of the intersection, the periodic scheme of the intersection generally comprises a maximum period and a minimum period. When the flow is less than the quantile value P1Corresponding to the flow threshold, the minimum period is operated; when the flow is greater than the quantile value P2Corresponding to the flow threshold, a maximum period of operation is required; when the flow is in the range of the flow and the period, the corresponding relation between the flow and the period is similar to that of the activation function, so that the activation function can be constructed to represent the mapping relation between the flow and the period, and the mapping relation between the flow and the period is calculatedA reasonable period value.
Further, the method for diagnosing the rationality of the actual cycle is as follows:
for a known time slice, the period rationality of the time slice needs to be diagnosed, the flow average value of the time slice is counted, and the period theoretical value of the time slice is obtained by utilizing the calculated period flow mapping function. And judging that the difference between the theoretical value and the actual value exceeds a threshold value. And judging the difference value between the theoretical value and the actual value. If the difference exceeds the threshold, the period is not reasonable.
A system for implementing the flow-based SCATS control scheme run cycle automatic diagnostic method of the present invention, comprising:
the data acquisition module is used for acquiring signal control scheme data and traffic parameters;
the data storage module is used for storing all data related to the data acquisition module, the periodic diagnosis module and the periodic recommendation module;
and the period diagnosis module is used for judging whether the period is self-adaptive to adjust or not according to the historical traffic data and the period data of the control scheme, calculating the mapping relation between the flow and the period, and calculating the theoretical period corresponding to the current flow according to the obtained mapping function. If the difference value between the theoretical period and the actual period exceeds a threshold value, judging that the current period is unreasonable;
and the period recommendation module is divided into an online mode and an offline mode, acquires the calculation result of the period diagnosis module, combines the real traffic data and the control scheme period data, and judges whether the period is unreasonable or not in the graph display period.
The data acquisition module is connected with the period diagnosis module, the period diagnosis module is connected with the period recommendation module, and the data storage module is connected with the data acquisition module, the period diagnosis module and the period recommendation module.
Further, the periodically recommended operation modes include online diagnosis recommendation and offline diagnosis recommendation. Acquiring real-time data at certain time intervals for analysis according to online diagnosis recommendation; the off-line diagnosis recommends obtaining the data of the previous day, segmenting the data at certain time intervals, carrying out periodic diagnosis on the whole day and analyzing the periodic problem of each time period.
The invention has the following beneficial effects: (1) the control scheme is diagnosed according to the real road network traffic capacity, the requirements of the road network can be accurately reflected, and symptomatic medicine administration is realized. (2) And reference is provided for timing personnel to manually regulate and control or set a fixed timing scheme. (3) And the control scheme is automatically diagnosed in different modes according to the periodic operation of the control scheme, so that the abnormal locking is eliminated in time.
Drawings
FIG. 1 is a graph of SCATS system flow versus saturation for the present invention.
Fig. 2 is a flow histogram after a certain intersection is aggregated at certain time intervals.
Fig. 3 is a total day actual flow chart of a certain intersection.
FIG. 4 is a diagram of a piecewise function and an activation function.
FIG. 5 is a schematic view of a cycle versus flow rate profile.
Fig. 6 is a schematic diagram of a sigmoid function change rate distribution.
Fig. 7 is a system configuration diagram of the present invention.
FIG. 8 is a diagram illustrating the results of the mapping function calculation of the present invention.
Detailed Description
The technical scheme of the invention is further explained by combining the attached drawings.
A method for automatically diagnosing the operation period of a traffic-based SCATS control scheme, the method comprising the steps of:
1. and acquiring effective historical multi-day SCATS traffic parameters and control scheme data of the intersection. The SCATS traffic data is collected by coils buried under each lane or a geomagnetic detector, including flow rate, saturation, cycle start time and length, and the like. The detector is easily damaged due to the installation position of the detector and the like. According to the traffic parameters acquired by the detector, time distribution diagrams (V-t, DS-t) of the flow and saturation of each coil, a relation diagram (DS-V) of the flow saturation and a histogram (Freq (DS/V)) of the ratio of the flow to the saturation are drawn, a series of statistic characteristics of V-t, DS-t and DS-V, Freq (DS/V) are calculated, wherein the statistic characteristics mainly comprise maximum/minimum value/mean value/kurtosis/skewness/5%/10%/50%/90%/95% cumulative probability quantiles and the like, and the working condition and the data quality of the detector are calibrated. The coil working condition and subdivision data quality problems which can be judged are as follows:
a. detector is normal, detector is working normally
b. Detector corruption no data
c. Detector damage flow anomaly
d. Detector failure-saturation anomaly
e. Detector damage flow and saturation anomalies
f. Data anomaly, mass data noise
g. Data exception: data loss is severe
h. Data noise point, small data noise point
i. Communication abnormity, namely short-time communication problem
Recording the detector numbers with the quality analysis results of a, h and i, acquiring historical multi-day data, aggregating the available detector data every day into the flow sum in the time period according to a certain time interval T, and then solving the historical multi-day average flow sum to obtain the historical flow index of the intersection in a certain time period Ti.
The SCATS system can store data of a control scheme which is operated, wherein the control scheme comprises a green ratio scheme and a period scheme. And acquiring an intersection control scheme with the same date as the traffic data, and dividing the intersection control scheme at the same time interval T to obtain the maximum value and the minimum value of the period of the intersection in a certain time period Ti.
2. And judging whether the running period of the control scheme at the intersection is self-adaptive or not. The SCATS system provides functions of manual locking of a control scheme and schedule command setting, and usually locks the control scheme period of the intersection when abnormal conditions occur or are necessary, so that the intersection runs the same control scheme within a certain time, and self-adaptive adjustment is not carried out along with the change of traffic parameters. Generally, a locking scheme does not last for a long time, and if unlocking is forgotten manually, the intersection keeps the same scheme for a long time, so that certain influence is caused on traffic signal control. At this time, the control scheme of the intersection is locked abnormally, and adaptive control cannot be performed normally.
3. And calculating a mapping function of the flow and the period for the intersection with the period self-adaption. The cycle abnormal locked data can not be used as the basis for cycle correction. In order to ensure the traffic safety and the efficiency of the intersection, the periodic scheme of the intersection comprises a maximum period and a minimum period. In the range of smaller flow, the minimum period is operated; when the flow exceeds a certain value, the maximum period needs to be operated; when the flow rate is in the range of the two, a reasonable period can be calculated by utilizing the flow rate in a certain relation.
For a time interval TiThe flow distribution can be obtained from the historical flow values contained in (1). Referring to fig. 2, a flow distribution diagram of a certain intersection divided according to a time interval T can be seen, where two peaks exist in the flow distribution, respectively at a smaller and a larger value of the flow. With reference to fig. 3, a real v (flow) -t (time) graph of a certain day at the intersection is shown, and during a night period (22: 00-07: 00 days next time), the flow is small, the fluctuation is small, the duration is long, and therefore a first peak appears in the flow distribution, and the peak is thin and sharp; during the daytime (07: 00-22: 00), the flow is generally larger and the fluctuation is obvious, so that a second peak appears in the flow distribution, the peak contains more numerical types, and the peak shape is full.
Based on the above observation, the low flow peak contains less flow values, and the flow distribution P is taken1Taking the place value as the flow reaching the minimum period, taking P as the flow value contained in the high flow wave crest2The quantile value is taken as the traffic that reaches the maximum period. The selection of the flow distribution quantile is carried out according to the specific regulation and control requirements, and the flow quantile P of the minimum operation period1，P1Smaller can be opened earlierPeriodic adaptive calculation, P1The larger the minimum period of operation; quantile P for maximum period of operation2，P2The smaller the time for running the maximum period, P2The larger the cycle adaptive calculation range, the shorter the time for running the maximum cycle.
The flow versus period mapping function for time interval T is as follows:
wherein CL is a periodic theoretical value calculated by a formulamax、CLminRespectively representing the maximum period and the minimum period in the history data, CLautoRepresenting periodic results, VO, mapped from traffic according to a certain relationshiprealVO is the current flow value to be diagnosedmodelFor combinations of historical flow values, P1And P2The quantile of the flow distribution for the minimum or maximum period of operation, respectively. In the technical scheme, P1Taking the value of 10%, P2The value is 75%.
According to the rule, the mapping relation between the flow and the period is approximate to a piecewise function. The proportional relation between the flow and the period is not constant, when the flow is between two branch values, the change rate of the mapping period is the largest, the period change caused by the fluctuation of the flow is obvious, and the advantage exerted by the regulation period is larger; when the flow approaches to two branch values, the change rate of the mapping period is smaller, the fluctuation of the flow has little influence on the period, the adjustable range of the period is smaller and approaches to CLmaxAnd CLmin. The relationship is similar to the activation function, see FIG. 4. The activation function is applied to the field of neural networks, the expression capability of the neural networks is enhanced, various different mathematical expression forms exist, and the activation function shown in the figure is a sigmoid function. The number with the value of (-infinity, + ∞) is mapped between (0,1), when the value is 0, the mapping change rate is maximum and is decreased towards two sides, and when the value is infinite, the mapping change rate can be approximate to 0.
Counting the change rate of the historical flow and the period ratio to obtain a distribution graph of the change rate, as shown in fig. 5, the distribution of the change rate has higher similarity with the change rate distribution of the activation function, referring to fig. 6, the curves of the historical flow and the activation function have similar waveforms, the waveforms of the distribution graph are both very thin and sharp, the peak is located at 0 point, the subsequent distribution value is extremely small, and a small bulge exists at the tail of the distribution.
The method applies the form of the activation function to the mapping of the flow and the period, constructs the mapping relation between the class activation function representation flow and the period, and is used for calculating CLauto. Taking sigmoid function as an example, the activation function formula and the constructed class activation function are as follows, and the calculation result refers to fig. 8:
different intersections can be calculated by using different quantiles, and then flow and periodic mapping functions with different intersection characteristics can be obtained.
4. For intersections with the period which cannot be self-adapted, a judgment result of locking of the period abnormity is given; and for the intersection with the self-adaptive period, calculating the current time flow to obtain a period theoretical value, and diagnosing the rationality of the actual period according to the theoretical value. The diagnosis of the rationality of the actual period needs to count the average value of the flow of the known time slice, and the periodic theoretical value of the flow is obtained by utilizing the calculated periodic flow mapping function. And judging that the difference between the theoretical value and the actual value exceeds a threshold value. And judging the difference value between the theoretical value and the actual value. If the difference exceeds the threshold, the period is not reasonable.
The embodiment of the application also provides a periodic recommendation system, as shown in fig. 7, the system includes a data acquisition module, a data storage module, a periodic diagnosis module, and a periodic recommendation module.
The data acquisition module is connected with the period diagnosis module, the period diagnosis module is connected with the period recommendation module, and the data storage module is connected with the data acquisition module, the period diagnosis module and the period recommendation module.
The data acquisition module acquires signal control scheme data and traffic parameters. Signal control scheme data includes, but is not limited to, control scheme cycle data for scats system operation, etc.; traffic parameters include, but are not limited to, flow, saturation, flow rate, etc. information.
And the period diagnosis module is used for judging whether the period is self-adaptive to adjust or not according to the historical traffic data and the period data of the control scheme, calculating the mapping relation between the flow and the period, and calculating the theoretical period corresponding to the current flow according to the obtained mapping function. And if the difference value between the theoretical period and the actual period exceeds the threshold value, judging that the current period is unreasonable.
And the period recommending module reflects the period diagnosis result to the curve graph. The period recommending module acquires the calculation result of the period diagnosing module, and combines the real traffic data and the control scheme period data to judge whether the period is unreasonable or not in the graph display period. Refer to fig. 8.
Further, the periodically recommended operation modes include online diagnosis recommendation and offline diagnosis recommendation. Acquiring real-time data at certain time intervals for analysis according to online diagnosis recommendation; the offline diagnosis recommends obtaining data of the previous day, segmenting the data at certain time intervals, carrying out periodic diagnosis on the whole day, analyzing the periodic problem of each time period, and providing reference for setting a schedule command or eliminating abnormal locking for timing personnel.
And the data storage module is used for storing all data related to the data acquisition module, the periodic diagnosis module and the periodic recommendation module.
The method and the device effectively improve the reasonability of the operation period of the SCATS control scheme, meet the road network requirements, and are favorable for adjusting the control scheme of the signal system in a targeted manner by timing personnel.
The embodiments described in this specification are merely illustrative of implementations of the inventive concept and the scope of the present invention should not be considered limited to the specific forms set forth in the embodiments but rather by the equivalents thereof as may occur to those skilled in the art upon consideration of the present inventive concept.
Claims (10)
1. A method for automatically diagnosing the operation period of an SCATS control scheme based on flow comprises the following steps:
1) obtaining effective historical multi-day SCATS traffic parameters and signal control scheme data of the intersection, dividing the traffic parameters and the signal control scheme data according to a certain time interval, and obtaining all historical flow and maximum and minimum control scheme cycle data in the time interval;
2) judging whether the running period of the historical control scheme of the intersection is self-adaptive or not;
3) for the intersection with the self-adaptive period, a mapping function of the flow and the period is calculated, a flow specific flow quantile value is found and is respectively mapped to the maximum period and the minimum period, and a class activation function is constructed and used for mapping the fluctuating flow to the period.
2. A method for flow based SCATS control scheme run cycle automatic diagnostic as claimed in claim 1 further comprising:
4) for intersections with the period which cannot be self-adapted, a judgment result of locking of the period abnormity is given; and for the intersection with the self-adaptive period, calculating the current time flow to obtain a period theoretical value, and diagnosing the rationality of the actual period according to the theoretical value.
3. A traffic based SCATS control scheme run cycle automatic diagnostic method as claimed in claim 1, wherein: the signal control scheme data in the step 1) includes but is not limited to control scheme period, time and green signal ratio of the operation of scats system; traffic parameters include, but are not limited to, flow, speed, saturation; the traffic parameters may be translated into corresponding flow parameters.
4. A traffic based SCATS control scheme run cycle automatic diagnostic method as claimed in claim 1, wherein: the self-adaptive judgment method for the operation period of the control scheme in the step 2) comprises the following steps:
judging whether the time length with the same signal control scheme data exceeds a threshold value or not, if so, judging that the control scheme is abnormally locked, and cannot perform self-adaptive control scheme regulation and control; and if the threshold value is not exceeded, the self-adaptive control scheme is judged to be normally regulated.
5. A traffic based SCATS control scheme run cycle automatic diagnostic method as claimed in claim 1, wherein: step 3) the method for selecting the traffic quantile value comprises the following steps:
statistical time interval TiThe low flow wave crest is subjected to quantile value P of flow distribution according to the historical flow value contained in the flow meter1As a threshold flow to reach minimum period, high flow peak, taking flow quantile value P2As the threshold flow to reach the maximum period.
6. A traffic based SCATS control scheme run cycle automatic diagnostic method as claimed in claim 1, wherein: step 3) the method for constructing the mapping function of the flow and the period is as follows:
at flows less than quantile P1Corresponding to the flow threshold value, operating a minimum period;
when the flow rate is greater than the quantile P2Running a maximum period corresponding to the flow threshold;
when the flow is in the range of the flow and the period, constructing a class activation function to represent the mapping relation between the flow and the period, and calculating a more reasonable period value:
wherein CL is a periodic theoretical value calculated by a formulamax、CLminRespectively representing the maximum period and the minimum period in the history data, CLautoRepresenting periodic results, VO, mapped from traffic according to a certain relationshiprealVO is the current flow value to be diagnosedmodelFor combinations of historical flow values, P1And P2The quantile of the flow distribution for the minimum or maximum period of operation, respectively.
7. A traffic based SCATS control scheme run cycle automatic diagnostic method as claimed in claim 1, wherein: step 3) the method for selecting the quantiles of the flow distribution in the minimum or maximum running period comprises the following steps:
the selection of the flow distribution quantile is carried out according to the specific regulation and control requirements, and the flow quantile P of the minimum operation period1，P1Smaller the energy, the earlier the start period is, the adaptive calculation is1The larger the minimum period of operation; quantile P for maximum period of operation2，P2The smaller the time for running the maximum period, P2The larger the cycle adaptive calculation range, the shorter the time for running the maximum cycle. In the present claims P1Taking the value of 10%, P2The value is 75%.
8. A traffic based SCATS control scheme run cycle automatic diagnostic method as claimed in claim 1, wherein: the method for diagnosing the rationality of the actual period in the step 4) comprises the following steps:
for a known time slice, the periodic rationality of the time slice needs to be diagnosed, the flow average value of the time slice is counted, and the periodic theoretical value of the time slice is obtained by utilizing a periodic flow mapping function obtained through calculation; judging whether the difference between the theoretical value and the actual value exceeds a threshold value; if the difference exceeds the threshold, the period is not reasonable.
9. A system for implementing the method for flow-based SCATS control scheme run cycle automatic diagnosis of claim 1, wherein: the method comprises the following steps:
the data acquisition module is used for acquiring signal control scheme data and traffic parameters;
the data storage module is used for storing all data related to the data acquisition module, the periodic diagnosis module and the periodic recommendation module;
and the period diagnosis module is used for judging whether the period is self-adaptive to adjust or not according to the historical traffic data and the period data of the control scheme, calculating the mapping relation between the flow and the period, and calculating the theoretical period corresponding to the current flow according to the obtained mapping function. If the difference value between the theoretical period and the actual period exceeds a threshold value, judging that the current period is unreasonable;
the periodic recommendation module is divided into an online mode and an offline mode, obtains a calculation result of the periodic diagnosis module, combines real traffic data and periodic data of a control scheme, and judges whether the period is unreasonable or not in a graph display period;
the data acquisition module is connected with the period diagnosis module, the period diagnosis module is connected with the period recommendation module, and the data storage module is connected with the data acquisition module, the period diagnosis module and the period recommendation module.
10. The system of claim 8, wherein the periodically recommended mode of operation includes online diagnostic recommendations and offline diagnostic recommendations; acquiring real-time data at certain time intervals for analysis according to online diagnosis recommendation; the off-line diagnosis recommends obtaining the data of the previous day, segmenting the data at certain time intervals, carrying out periodic diagnosis on the whole day and analyzing the periodic problem of each time period.
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