CN116311933A - Method and system for managing traffic crossing risk of drinking water source - Google Patents
Method and system for managing traffic crossing risk of drinking water source Download PDFInfo
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- 239000003651 drinking water Substances 0.000 title claims abstract description 87
- 235000020188 drinking water Nutrition 0.000 title claims abstract description 80
- 238000000034 method Methods 0.000 title claims description 35
- 238000007726 management method Methods 0.000 claims abstract description 134
- 238000004364 calculation method Methods 0.000 claims abstract description 72
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 37
- 238000004458 analytical method Methods 0.000 claims description 25
- 231100000419 toxicity Toxicity 0.000 claims description 16
- 230000001988 toxicity Effects 0.000 claims description 16
- 235000012206 bottled water Nutrition 0.000 claims description 7
- 238000005516 engineering process Methods 0.000 claims description 7
- 238000007405 data analysis Methods 0.000 claims description 3
- 230000000149 penetrating effect Effects 0.000 claims description 3
- 230000000875 corresponding effect Effects 0.000 description 17
- 230000002596 correlated effect Effects 0.000 description 5
- 206010039203 Road traffic accident Diseases 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 239000002352 surface water Substances 0.000 description 3
- 231100000048 toxicity data Toxicity 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000001186 cumulative effect Effects 0.000 description 2
- 238000003911 water pollution Methods 0.000 description 2
- 241001272720 Medialuna californiensis Species 0.000 description 1
- 229910000831 Steel Inorganic materials 0.000 description 1
- 230000001276 controlling effect Effects 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 239000002360 explosive Substances 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 239000003673 groundwater Substances 0.000 description 1
- 231100001231 less toxic Toxicity 0.000 description 1
- 231100000252 nontoxic Toxicity 0.000 description 1
- 230000003000 nontoxic effect Effects 0.000 description 1
- 239000004576 sand Substances 0.000 description 1
- 239000010959 steel Substances 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 230000003442 weekly effect Effects 0.000 description 1
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- 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
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Abstract
The utility model relates to a drinking water source area traffic crossing risk management method and system, belongs to the technical field of drinking water source area management, and is used for solving the problem that the traffic crossing risk of the drinking water source area is difficult to manage, by acquiring vehicle information of a management road section crossing the drinking water source area, combining the vehicle information with pre-acquired drinking water source area attribute information of the drinking water source area, calculating the traffic crossing risk information of the drinking water source area according to a preset crossing risk calculation model, so that the traffic crossing risk of the drinking water source area can be reasonably determined, and an auxiliary management department determines traffic crossing risk determination management time so as to realize effective management and control of the traffic crossing risk of the drinking water source area.
Description
Technical Field
The application relates to the technical field of drinking water source management, in particular to a drinking water source traffic crossing risk management method and system.
Background
The problem that the risk of passing through the transportation exists in the protection area of the drinking water source area is ubiquitous and difficult to avoid nationally, once traffic accidents occur on the road section passing through the protection area of the drinking water source area, the influence on the drinking water source area is larger or smaller, and if the influence cannot be treated in time, the pollution is easily and continuously brought to the drinking water source area.
The drinking water source protection area is provided with a special management department and management personnel, the management department and the management personnel manage the drinking water source in a certain management area, and the transportation crossing risks of the drinking water source need to be supervised by the management personnel so as to reduce the probability of traffic accidents and reduce the risks of polluting the drinking water source. However, after all, the traffic accident is a small probability event, and how to reasonably determine the management time of the management personnel by the management department to effectively control the influence of the traffic crossing risk on the drinking water source is a problem expected to be solved by the person skilled in the art.
Disclosure of Invention
The application provides a method and a system for managing the traffic crossing risk of a drinking water source, which are beneficial to a management department to determine the management time of management personnel, so that the traffic crossing risk is better managed and controlled.
In a first aspect, the present application provides a method for managing the risk of passing through a drinking water source, which adopts the following technical scheme:
a method for managing the risk of crossing traffic in a drinking water source, comprising:
acquiring vehicle information of a management road section penetrating through a drinking water source area, wherein the vehicle information comprises vehicle carrying object attribute information, vehicle carrying capacity information, vehicle speed information and vehicle continuous driving duration information;
and calculating the traffic crossing risk information of the drinking water source according to a preset crossing risk calculation model by combining the vehicle information and the pre-acquired water source attribute information of the drinking water source, wherein the water source attribute information comprises protection area grade information, water source type information and emergency protection engineering facility information.
By adopting the technical scheme, the traffic crossing risk information of the drinking water source area can be reasonably determined, so that powerful data support can be provided for management departments to control the traffic crossing risk, the management opportunity can be reasonably determined, and better control over the traffic crossing risk can be realized.
Optionally, the acquiring the vehicle information of the management road section crossing the drinking water source area includes:
collecting video image information of the management road section;
identifying license plate information, vehicle type information, carried object identification information and carried object image information of the vehicle traversing the management road section in the video image based on an image characteristic identification technology;
determining a first attribute identifier of the carrying object according to the license plate information and the pre-acquired transportation record database; determining a second attribute identifier of the carried object according to the vehicle type information and the vehicle type carrying comparison relation information; determining a third attribute identifier of the carried object according to the carried object identifier information; determining a fourth attribute identifier of the carried object according to the carried object image information;
and determining the attribute information of the carrying object by combining the first attribute identifier of the carrying object, the second attribute identifier of the carrying object, the third attribute identifier of the carrying object and the fourth attribute identifier of the carrying object, wherein the attribute information of the carrying object is a manned vehicle identifier and a cargo vehicle identifier, and the carrying object further carries a fluidity coefficient, a water solubility coefficient, a pollution coefficient and a toxicity coefficient when the attribute information of the carrying object is the cargo vehicle identifier.
Optionally, the acquiring the vehicle information of the management road section crossing the drinking water source area further includes:
acquiring weight information of vehicles passing through the management road section;
and determining vehicle load information according to the vehicle type information, the object-to-be-loaded attribute information and the weight information of the vehicle, wherein the vehicle load information comprises loading quality information and loading volume information.
Optionally, the calculating the traffic crossing risk information of the drinking water source area according to the preset crossing risk calculation model by combining the vehicle information and the pre-acquired water source area attribute information of the drinking water source area includes:
carrying information of each vehicle crossing the management road section in unit time into the preset crossing risk calculation model, and determining a crossing risk value of each vehicle;
and calculating the accumulated value of the crossing risk values of all vehicles crossing the management road section in unit time as the traffic crossing risk information of the drinking water source area in unit time.
Optionally, the preset traversing risk calculation model includes an attribute risk coefficient calculation model, an order risk coefficient calculation model, a vehicle speed and duration risk coefficient calculation model, a grade risk coefficient calculation model, a type risk coefficient calculation model and a facility risk coefficient calculation model;
the step of bringing each vehicle information of the crossing management road section in the unit time into the preset crossing risk calculation model, and the step of determining the crossing risk value of each vehicle comprises the following steps:
inputting the attribute information of the carried object into an attribute risk coefficient calculation model to obtain an attribute risk coefficient; inputting the vehicle carrying capacity information into a magnitude risk coefficient calculation model to obtain a magnitude risk coefficient; inputting vehicle speed information and vehicle continuous driving duration information into a vehicle speed and duration risk coefficient calculation model to obtain a driving risk coefficient; inputting the protection area grade information into a grade risk coefficient calculation model to obtain a grade risk coefficient; inputting the type information of the water source area into a type risk coefficient calculation model to obtain a type risk coefficient; inputting the emergency protection engineering facility information into a facility risk coefficient calculation model to obtain a facility risk coefficient;
and calculating the crossing risk value based on a preset basic crossing risk by combining an attribute risk coefficient, an order risk coefficient, a driving risk coefficient, a grade risk coefficient, a category risk coefficient and a facility risk coefficient.
Optionally, the method further comprises:
acquiring historical data of traffic crossing risk information of a plurality of drinking water source areas in a preset management area;
analyzing the historical data by using a preset analysis model to obtain analysis result information, wherein the preset analysis model comprises a preset management period and a preset risk threshold value, and the analysis result information comprises risk score data determined based on a time period;
and determining management scheme information according to the analysis result information, wherein the management scheme information comprises manager duty information determined based on the time period and the water source place.
Optionally, the analyzing the historical data with a preset analysis model to obtain analysis result information includes:
determining that the traffic crossing risk information higher than a preset risk threshold value is a high-risk unit time period in the historical data;
acquiring the number of high-risk unit time periods occurring in each continuous preset number of unit time, and calculating the time period risk accumulated value of the traffic crossing risk information of each continuous preset number of unit time;
substituting the time period risk accumulated value and the high risk unit time number into a time, risk, quantity and management necessary score comparison table to obtain the risk score data, wherein one risk score data comprises management necessary scores of a continuous preset quantity of units of time corresponding to a time period of a drinking water source.
Optionally, the determining management scheme information according to the analysis result information includes:
in each preset management period, acquiring risk score data with the maximum management necessary score of each drinking water source area as first-echelon risk score data;
acquiring first-echelon risk score data with the management necessary score being greater than a management score threshold value as first necessary risk score data;
analyzing a rule of occurrence of first necessary risk score data of each drinking water source area based on a preset management period based on a data analysis model;
and determining the duty information of the manager according to the rule.
In a second aspect, the present application provides a system for managing risk of passing through traffic in a drinking water source, which adopts the following technical scheme:
a drinking water source site traffic crossing risk management system comprises a vehicle information acquisition subsystem and a server; the vehicle information acquisition subsystem is for acquiring vehicle information, the server being configured for performing any one of the methods as described in the first aspect above.
In summary, the present application includes at least one of the following beneficial technical effects:
1. the method and the system for managing the traffic crossing risk of the drinking water source can reasonably determine the traffic crossing risk of the drinking water source, and assist a management department to determine the traffic crossing risk determination management time so as to realize effective management and control of the traffic crossing risk;
2. the method for determining the traffic crossing risk is reasonable, and is favorable for obtaining the traffic crossing risk with reference value, so that the support can be realized for effectively controlling the traffic risk;
3. the management time of the management personnel is determined by the traffic crossing risk in a reasonable mode, and further support is realized for management and control of the traffic crossing risk.
It should be understood that the description in this summary is not intended to limit key or critical features of embodiments of the present application, nor is it intended to be used to limit the scope of the present application. Other features of the present application will become apparent from the description that follows.
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The above and other features, advantages and aspects of embodiments of the present application will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. In the drawings, wherein like or similar reference numerals denote like or similar elements, in which:
FIG. 1 illustrates an exemplary operating environment in which embodiments of the present application can be implemented.
Fig. 2 shows a flowchart of a method for managing traffic crossing risks in a drinking water source according to an embodiment of the present application.
Fig. 3 shows a schematic diagram of a system for managing the risk of crossing traffic at a potable water source in an embodiment of the present application.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
In addition, the term "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
In the application, the traffic crossing risk of the drinking water source is reasonably determined according to the vehicle information of the vehicles crossing the drinking water source and the inherent information of the drinking water source, so that the traffic crossing risk of the drinking water source can be reasonably managed and controlled.
FIG. 1 illustrates a schematic diagram of an exemplary operating environment 100 in which embodiments of the present application can be implemented. An information acquisition system 110 and a management system 120 are included in the operating environment 100, wherein the information acquisition system 110 is configured to acquire vehicle information and the management system 120 is configured to calculate a management of the risk of traversing traffic.
The information acquisition system 110 includes a camera, a wagon balance, and a data link interface. The camera can be arranged on a management road section penetrating through the drinking water source area and used for collecting video image information of vehicles passing through the management road section; the wagon balance can also be arranged on a management road section of a drinking water source area and used for acquiring weight information of vehicles passing through the management road section, and particularly, a plurality of nodes are respectively arranged on a lane so as to prevent different vehicles from being simultaneously positioned on the same wagon balance and being difficult to acquire weight information of a single vehicle, and the data connection interface is used for linking an external database, such as a transportation record database used for carrying out actual transportation or allowable transportation on vehicles according to license plate numbers, a driving duration statistical database used for carrying out statistics on continuous driving duration of the vehicles and the like. Of course, the continuous driving duration of the vehicle may also be determined by the continuous displacement time of the vehicle-mounted positioning terminal or the mobile terminal held by the occupant.
The management system 120 may specifically include a server, where the management system 120 is connected to the information acquisition system, and according to the video image information, the vehicle weight information, and the data of the external database acquired by the information acquisition system, the vehicle information is acquired, and the attribute information of the water source is acquired in a pre-acquisition manner, so that the calculation of the traffic crossing risk and the management of the traffic crossing risk can be implemented.
Fig. 2 illustrates a flow chart of a method 200 for managing traffic traversing risk in a potable water source in an embodiment of the present application. The method 200 may be specifically performed by the management system 120 of fig. 1.
S210: vehicle information of a management road section crossing a drinking water source area is acquired.
The vehicle information includes vehicle-mounted object attribute information, vehicle load information, vehicle speed information, and vehicle duration information.
The method comprises the following steps: collecting video image information of the management road section; identifying license plate information, vehicle type information, carried object identification information and carried object image information of the vehicle traversing the management road section in the video image based on an image characteristic identification technology; determining a first attribute identifier of the carrying object according to the license plate information and the pre-acquired transportation record database; determining a second attribute identifier of the carried object according to the vehicle type information and the vehicle type carrying comparison relation information; determining a third attribute identifier of the carried object according to the carried object identifier information; determining a fourth attribute identifier of the carried object according to the carried object image information; and determining the attribute information of the carrying object by combining the first attribute identifier of the carrying object, the second attribute identifier of the carrying object, the third attribute identifier of the carrying object and the fourth attribute identifier of the carrying object, wherein the attribute information of the carrying object is a manned vehicle identifier and a cargo vehicle identifier, and the carrying object further carries a fluidity coefficient, a water solubility coefficient, a pollution coefficient and a toxicity coefficient when the attribute information of the carrying object is the cargo vehicle identifier.
Specifically, the transportation record database stores a current transportation item category or a permitted transportation item category range of a specified license plate vehicle, if the current transportation item category is stored, the first attribute identification of the carried object includes the current transportation item category, if the current transportation item category is not stored but the permitted transportation item category range is stored, the first attribute identification includes the permitted transportation item category range, generally, the vehicle requiring the record only permits a specific transportation item or a specific small category of transportation item, i.e. if the record exists, the carried object can be basically determined through the transportation record database, the information can be included in the first attribute identification of the carried object, and if the record does not exist, the first attribute identification of the carried object is empty. The vehicle type loading contrast relation information is preset according to common knowledge of a person skilled in the art, wherein the vehicle type information and loading object type contrast relation is stored, namely, the type of loading object which is used to be loaded or allowed to be loaded is stored, and the loading object second attribute identification can be determined according to the vehicle type information and the vehicle loading contrast relation information, and the loading object second attribute identification comprises the used loading object or the allowed loading object corresponding to the vehicle type information. The custom carried object refers to a certain vehicle type, which is not specified, but is generally used for carrying a certain type or certain types of articles when applied, and the allowed carried object refers to a limitation that certain vehicle types are allowed to carry certain types of articles.
The carried object identification information is an identification printed on the vehicle, such as a dangerous object identification, an explosive identification, or a specific chemical identification, and is generally only marked on a specific vehicle, that is, the carried object identification corresponds to a specific carried object or a specific type of carried object. If the vehicle is marked with the object-to-be-carried identification information, the object-to-be-carried identification can be identified based on the feature identification technology according to the video image information, so that the type of the object to be carried of the vehicle can be determined, the third attribute identification of the object to be carried can include the type of the object to be carried determined based on the object-to-be-carried identification information, and if the vehicle is not marked with the object-to-be-carried identification information, the third attribute identification of the object to be carried is empty.
Some vehicles, such as trucks, are generally loaded with goods such as ores, sand, steel coils, and the like through an open loading bucket or loading platform, and images of the goods are contained in video image information, that is, the type of the loaded object can be determined through the images by acquiring the loaded object image information in the video image information based on the video image recognition technology, and if the loaded object of the vehicle can be presented in the video image information, the loaded object fourth attribute information can include the loaded object type determined according to the loaded object image information.
In combination with the above, the first attribute identifier of the carried object, the second attribute identifier of the carried object, the third attribute identifier of the carried object and the fourth attribute identifier of the carried object each include some restrictions on the type of the carried object, and the type of the attribute of one carried object can be determined by combining the four-part restrictions, and the determined type of the attribute of the carried object can be a specific type, a minor type or a broad major type.
The management system 120 pre-stores the attributes of all the specific kinds of carried objects and the attributes of the minor and major kinds of carried objects, such as fluidity, water solubility, pollution and toxicity, etc., and the attribute identification mode of the minor and major kinds of carried objects can be a fuzzy judgment mode, for example, if the fluidity of all the carried objects in a minor kind is greater than a threshold value, the fluidity of the minor kind of carried object can be directly judged to be a preset value greater than the threshold value by combining setting, and if the toxicity of the major kind of carried object is less and non-toxic, the fluidity data, the water solubility data, the pollution data and the toxicity data of each of the major kind of carried objects can be directly judged to be a preset value close to zero by combining setting. Based on preset content, each fluidity data corresponds to a fluidity coefficient, each water-solubility data corresponds to a water-solubility coefficient, each pollution data corresponds to a pollution coefficient, and each toxicity data corresponds to a toxicity coefficient.
It should be understood that, considering the flowability coefficient, the water solubility coefficient, the pollution coefficient and the toxicity coefficient in combination with practical situations, the smallest value (corresponding to the situation without flowability, water solubility, pollution and toxicity) is 1, that is, the gain is 0, and after the flowability, water solubility, pollution and toxicity are increased, the corresponding gain coefficient also becomes a value greater than 1, and the corresponding relation between the specific flowability data and the flowability coefficient, the water solubility data and the water solubility coefficient, the pollution data and the pollution coefficient, and the toxicity data and the toxicity coefficient can be preset based on the experience of those skilled in the art, and the corresponding flowability coefficient, the water solubility coefficient, the pollution coefficient and the upper limit of the toxicity coefficient can also be determined.
That is, after the carrier attribute information is determined, the corresponding fluidity coefficient, water solubility coefficient, pollution coefficient, and toxicity coefficient may be determined based on the foregoing, that is, the complete carrier attribute information includes the type of the carrier and the fluidity coefficient, water solubility coefficient, pollution coefficient, and toxicity coefficient.
The acquiring vehicle information of the management road section crossing the drinking water source area further comprises: acquiring weight information of vehicles passing through the management road section; and determining vehicle load information according to the vehicle type information, the object-to-be-loaded attribute information and the weight information of the vehicle, wherein the vehicle load information comprises loading quality information and loading volume information.
Specifically, according to the video image information of the management road section and the weight information acquired by the plurality of wagon balance of the management road section, the moment when the vehicle passes by the wagon balance alone can be determined by combining the characteristic recognition technology, and the weight information acquired by the wagon balance at the moment is taken as the weight information of the vehicle. The management system 120 pre-stores the empty load information corresponding to the vehicle type information and the vehicle type information, that is, the management system 120 can determine the corresponding empty load information according to the vehicle type information, and the management system 120 subtracts the corresponding empty load information from the collected vehicle information to obtain the carrying quality information in the vehicle carrying capacity information. Of course, similar to the above, after the mounting quality information is determined, the mounting volume information of the vehicle mounting amount information can be determined in combination with the density of the specific type of mounted object stored in advance in the management system 120 or the preset density determined by blurring the specific type of mounted object or the specific class of mounted object.
The vehicle speed information and the vehicle driving duration information are obtained by a mature technical means, and are not described herein.
In short, based on the method of the step, the acquisition of the attribute information of the vehicle carried object, the information of the vehicle carrying capacity, the information of the vehicle speed and the information of the continuous driving duration of the vehicle in the vehicle information can be realized.
S220: and calculating the traffic crossing risk information of the drinking water source according to a preset crossing risk calculation model by combining the vehicle information and the pre-acquired water source attribute information of the drinking water source.
The water source property information comprises protection zone grade information, water source type information and emergency protection engineering facility information. The protection area level information comprises one of a first-level protection area label, a second-level protection area label and a quasi-protection area label, and one of a provincial protection area label, a city-level protection area label, a county-level protection area label, a village-level protection area label, the protection area level information is defined specifically according to management authorities, reference can be made to the 'people's republic of China water pollution control method ', the' drinking water source protection area division technical specification, the local policy and the like, and the protection area level information is preset according to the division of the drinking water source according to the water pollution environmental law and the local policy, for example, the protection area level information of the provincial-level protection area comprises the provincial protection area label and the first-level protection area label. The type information of the water source area comprises a surface water label and a ground water label, wherein the surface water label reflects that the drinking water source area is a river type drinking water source, a lake type drinking water source or a reservoir type drinking water source. The emergency protection engineering facility information comprises an emergency protection engineering facility label and a non-emergency protection engineering label.
The step of calculating the traffic crossing risk information of the drinking water source area according to a preset crossing risk calculation model by combining the vehicle information and the pre-acquired water source area attribute information of the drinking water source area comprises the following steps: carrying information of each vehicle crossing the management road section in unit time into the preset crossing risk calculation model, and determining a crossing risk value of each vehicle; and calculating the accumulated value of the crossing risk values of all vehicles crossing the management road section in unit time as the traffic crossing risk information of the drinking water source area in unit time.
Specifically, in the method, the actual time can be divided into continuous unit time, the unit time can be any time length of one second, one minute, one hour and the like, the unit time length is generally considered in combination with the single management time length of the management department, at least the minimum value of the single management time length of the management department is required, the single management time length of the management department is 4 hours in combination with specific situations, the unit time length is specifically selected to be one hour, the specific dividing mode is that the reference time is taken as the standard (for example Beijing time), each hour is divided into four unit time lengths, namely the first hour, the second hour, the third hour and the fourth hour of the hour, and the traffic crossing risk information is determined based on the time period in which the unit time is located and is embodied in the time period (for example, 6:00-6:15).
The preset crossing risk calculation model comprises an attribute risk coefficient calculation model, an order risk coefficient calculation model, a vehicle speed and duration risk coefficient calculation model, a grade risk coefficient calculation model, a type risk coefficient calculation model and a facility risk coefficient calculation model.
Specifically, the attribute risk coefficient calculation model is used for inputting carried object attribute information, namely, is used for inputting a carried vehicle identifier or a carried vehicle identifier carrying a mobility coefficient, a water solubility coefficient, a pollution coefficient and a toxicity coefficient, and inputting the attribute risk coefficient calculation model, wherein the attribute risk coefficient calculation model can output the attribute risk coefficient according to the input carried object attribute information, specifically, the attribute risk coefficient calculation model can be specifically selected as a comparison table, the carried vehicle identifier can be directly compared by the attribute risk coefficient calculation model to obtain a corresponding attribute risk coefficient, and the carried vehicle identifier and the carried mobility coefficient, the water solubility coefficient, the pollution coefficient and the toxicity coefficient can be compared to be corresponding attribute risk coefficients. The specific comparison may be determined empirically by those skilled in the art, and generally, the passenger vehicle identification comparison results in a lower attribute risk factor than the cargo vehicle identification comparison, and the flowability factor, water solubility factor, pollution factor, and toxicity factor are all positively correlated with the attribute risk factor.
The magnitude risk coefficient calculation model is specifically used for inputting vehicle carrying capacity information, namely carrying quality information and carrying volume information, and outputting magnitude risk coefficients. The magnitude risk factor calculation model may be specifically set as a comparison table or a proportional function (specific comparison relation or functional relation may be empirically set by those skilled in the art, which is not specifically disclosed herein), and the magnitude risk factor may specifically be selected to be positively correlated with the numerical product of the loading quality information and the loading volume information.
The vehicle speed and long risk coefficient calculation model is used for inputting vehicle speed information and vehicle continuous driving duration information and outputting driving risk coefficients. The driving risk coefficient calculation model may be specifically set as a comparison table or a proportional function (specific comparison relation or functional relation may be empirically determined by a person skilled in the art), and the driving risk coefficient may be specifically selected to be positively correlated with the vehicle speed information and the vehicle driving duration information. The vehicle speed information may be specifically selected as the average vehicle speed here, considering that the vehicle speed collected in the management section may be a variable.
The hierarchical risk coefficient calculation model, the type risk coefficient calculation model, and the facility risk coefficient calculation model may be specifically selected as the data comparison table. The grade risk coefficient calculation model is used for inputting grade information of the protection area and outputting grade risk coefficients, specifically, the grade risk coefficients are based on the principle of control variables: the province level is larger than the city level and larger than the county level and larger than the village level, the first level is larger than the second level and larger than the standard protection area, and the comparison relation between the protection area grade information and the grade risk coefficient can be set independently according to the requirement by combining with the actual requirement. Similarly, the type risk coefficient calculation model is used for inputting type information of a water source area and outputting type risk coefficients, and generally, the type risk coefficients corresponding to surface water are larger than the type risk coefficients corresponding to underground water; the facility risk coefficient calculation model is used for inputting emergency protection engineering facility information and outputting facility risk coefficients, and in general, the facility risk coefficient of the emergency protection channel is smaller than that of the non-emergency protection channel. The comparison of the type risk factor calculation model and the facility risk factor calculation model can also be determined by combining experience and actual requirements of those skilled in the art, and is not described herein.
The step of bringing each vehicle information of the crossing management road section in the unit time into the preset crossing risk calculation model, and the step of determining the crossing risk value of each vehicle comprises the following steps: inputting the attribute information of the carried object into an attribute risk coefficient calculation model to obtain an attribute risk coefficient; inputting the vehicle carrying capacity information into a magnitude risk coefficient calculation model to obtain a magnitude risk coefficient; inputting vehicle speed information and vehicle continuous driving duration information into a vehicle speed and duration risk coefficient calculation model to obtain a driving risk coefficient; inputting the protection area grade information into a grade risk coefficient calculation model to obtain a grade risk coefficient; inputting the type information of the water source area into a type risk coefficient calculation model to obtain a type risk coefficient; inputting the emergency protection engineering facility information into a facility risk coefficient calculation model to obtain a facility risk coefficient; and calculating the crossing risk value based on a preset basic crossing risk by combining an attribute risk coefficient, an order risk coefficient, a driving risk coefficient, a grade risk coefficient, a category risk coefficient and a facility risk coefficient.
In a specific embodiment, the preset basic crossing risk value is a basic value, specifically, any value may be selected, and in this embodiment, specifically, 2 is selected. Based on the foregoing, the traffic traversing risk corresponding to each unit duration may be reasonably quantized into a calculated value, and the management system 120 records the traffic traversing risk information in real time, where the specific recording mode of the traffic traversing risk information is exemplified by time x years x months x days 6:15-6:30, risk value 3.5 (determined according to actual calculation), time x years x months x days 7:45-8:00, and risk value 5.4 (determined according to actual calculation).
Further, the method 200 further comprises: acquiring historical data of traffic crossing risk information of a plurality of drinking water source areas in a preset management area; analyzing the historical data by using a preset analysis model to obtain analysis result information, wherein the preset analysis model comprises a preset management period and a preset risk threshold value, and the analysis result information comprises risk score data determined based on a time period; and determining management scheme information according to the analysis result information, wherein the management scheme information comprises manager duty information determined based on the time period and the water source place.
The preset management period is determined according to actual requirements, and may be daily, hourly, weekly, half-moon, monthly, etc., where the preset management period is specifically set to one week (seven days of the week). The history data range at least includes a plurality of data of a previous preset management period, for example, if the preset management period is one week, the history data range at least includes data of the past five weeks. The preset risk threshold is also determined according to the actual management requirement, and can be combined with the selection of the basic crossing risk value, for example, the selection is twenty times of the basic crossing risk value, namely 40.
Analyzing the historical data by using a preset analysis model to obtain analysis result information, wherein the analysis result information comprises: determining that the traffic crossing risk information higher than a preset risk threshold value is a high-risk unit time period in the historical data; acquiring the number of high-risk unit time periods occurring in each continuous preset number of unit time, and calculating the time period risk accumulated value of the traffic crossing risk information of each continuous preset number of unit time; substituting the time period risk accumulated value and the high risk unit time number into a time, risk, quantity and management necessary score comparison table to obtain the risk score data, wherein one risk score data comprises management necessary scores of a continuous preset quantity of units of time corresponding to a time period of a drinking water source.
The preset number may be specifically determined according to actual requirements, for example, according to the shortest management time length, and if the shortest management time length is 4 hours and the unit time is 15 minutes, the preset number may be 16. Within any continuous 16 units of time, i.e. any continuous 4 hours, per week (if the preset management period is chosen to be one week), for example x years x months x days 5:00-9:00, determining that the number of the unit time periods of the traffic crossing risk information with the risk value higher than a preset risk threshold is the number of the unit time periods with high risk, and calculating that the sum of the risk values of the traffic crossing risk information in all unit time of the four hours is a time period risk accumulated value, so that the number of the unit time periods with high risk and the time period risk accumulated value of any 4 continuous hours can be obtained.
The time, risk, quantity and management necessary score comparison table is a preset comparison table, and the time period risk accumulated value and the high risk unit time quantity are input to obtain risk score data. The management necessary score in the risk score data is positively correlated with both the period risk cumulative value and the high risk unit time number, and specifically can be positively correlated with the product of the period risk cumulative value and the high risk unit time number.
The determining management scheme information according to the analysis result information comprises the following steps: in each preset management period, acquiring risk score data with the maximum management necessary score of each drinking water source area as first-echelon risk score data; acquiring first-echelon risk score data with the management necessary score being greater than a management score threshold value as first necessary risk score data; analyzing a rule of occurrence of first necessary risk score data of each drinking water source area based on a preset management period based on a data analysis model; and determining the duty information of the manager according to the rule.
The rules here are embodied in the relative times at which the first necessary risk score data occurs in a preset management period, such as every week at five afternoons every week, or every weekday early morning, etc. According to the rule, the management personnel duty information can be arranged, namely, the management personnel needs to duty in the time period when the first necessary risk score data occur frequently.
The above is disclosure of the method 200, and the method 200 can calculate the traffic crossing risk according to the inherent information of the drinking water source and the vehicle information of the crossing drinking water source road management section, so as to calculate the management opportunity of the management personnel on the drinking water source, so as to effectively manage the traffic crossing risk of the drinking water source.
It should be noted that, for simplicity of description, the foregoing method embodiments are all expressed as a series of action combinations, but it should be understood by those skilled in the art that the present application is not limited by the order of actions described, as some steps may be performed in other order or simultaneously in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all alternative embodiments, and that the acts and modules referred to are not necessarily required in the present application.
The foregoing description of the embodiments of the method further describes the embodiments of the system.
Fig. 3 illustrates a schematic diagram of a potable water source traffic traversing risk management system 300, according to an embodiment of the present application. The system 300 may be included in the operating environment 100 of fig. 1 or implemented as the operating environment 100. As shown in fig. 3, the system 300 includes: including a vehicle information acquisition subsystem 310 and a server 320; the vehicle information acquisition subsystem 310 is for acquiring vehicle information and the server 320 is configured for performing the method 200 as described above.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the described modules may refer to corresponding procedures in the foregoing method embodiments, which are not described herein again.
The foregoing description is only of the preferred embodiments of the present application and is presented as a description of the principles of the technology being utilized. It will be appreciated by persons skilled in the art that the scope of the disclosure referred to in this application is not limited to the specific combinations of features described above, but it is intended to cover other embodiments in which any combination of features described above or equivalents thereof is possible without departing from the spirit of the disclosure. Such as the above-described features and technical features having similar functions (but not limited to) disclosed in the present application are replaced with each other.
Claims (9)
1. A method for managing the risk of crossing traffic in a drinking water source, comprising the steps of:
acquiring vehicle information of a management road section penetrating through a drinking water source area, wherein the vehicle information comprises vehicle carrying object attribute information, vehicle carrying capacity information, vehicle speed information and vehicle continuous driving duration information;
and calculating the traffic crossing risk information of the drinking water source according to a preset crossing risk calculation model by combining the vehicle information and the pre-acquired water source attribute information of the drinking water source, wherein the water source attribute information comprises protection area grade information, water source type information and emergency protection engineering facility information.
2. The method of claim 1, wherein the obtaining vehicle information for a managed section of travel through a potable water source comprises:
collecting video image information of the management road section;
identifying license plate information, vehicle type information, carried object identification information and carried object image information of the vehicle traversing the management road section in the video image based on an image characteristic identification technology;
determining a first attribute identifier of the carrying object according to the license plate information and the pre-acquired transportation record database; determining a second attribute identifier of the carried object according to the vehicle type information and the vehicle type carrying comparison relation information; determining a third attribute identifier of the carried object according to the carried object identifier information; determining a fourth attribute identifier of the carried object according to the carried object image information;
and determining the attribute information of the carrying object by combining the first attribute identifier of the carrying object, the second attribute identifier of the carrying object, the third attribute identifier of the carrying object and the fourth attribute identifier of the carrying object, wherein the attribute information of the carrying object is a manned vehicle identifier and a cargo vehicle identifier, and the carrying object further carries a fluidity coefficient, a water solubility coefficient, a pollution coefficient and a toxicity coefficient when the attribute information of the carrying object is the cargo vehicle identifier.
3. The method of claim 2, wherein the acquiring vehicle information across a management section of a potable water source site further comprises:
acquiring weight information of vehicles passing through the management road section;
and determining vehicle load information according to the vehicle type information, the object-to-be-loaded attribute information and the weight information of the vehicle, wherein the vehicle load information comprises loading quality information and loading volume information.
4. The method of claim 3, wherein the calculating the traffic traversing risk information of the potable water source based on the preset traversing risk calculation model by combining the vehicle information and the pre-acquired source property information of the potable water source comprises:
carrying information of each vehicle crossing the management road section in unit time into the preset crossing risk calculation model, and determining a crossing risk value of each vehicle;
and calculating the accumulated value of the crossing risk values of all vehicles crossing the management road section in unit time as the traffic crossing risk information of the drinking water source area in unit time.
5. The method of claim 4, wherein the preset ride through risk calculation model comprises an attribute risk coefficient calculation model, a magnitude risk coefficient calculation model, a vehicle speed and duration risk coefficient calculation model, a level risk coefficient calculation model, a type risk coefficient calculation model, and a facility risk coefficient calculation model;
the step of bringing each vehicle information of the crossing management road section in the unit time into the preset crossing risk calculation model, and the step of determining the crossing risk value of each vehicle comprises the following steps:
inputting the attribute information of the carried object into an attribute risk coefficient calculation model to obtain an attribute risk coefficient; inputting the vehicle carrying capacity information into a magnitude risk coefficient calculation model to obtain a magnitude risk coefficient; inputting vehicle speed information and vehicle continuous driving duration information into a vehicle speed and duration risk coefficient calculation model to obtain a driving risk coefficient; inputting the protection area grade information into a grade risk coefficient calculation model to obtain a grade risk coefficient; inputting the type information of the water source area into a type risk coefficient calculation model to obtain a type risk coefficient; inputting the emergency protection engineering facility information into a facility risk coefficient calculation model to obtain a facility risk coefficient;
and calculating the crossing risk value based on a preset basic crossing risk by combining an attribute risk coefficient, an order risk coefficient, a driving risk coefficient, a grade risk coefficient, a category risk coefficient and a facility risk coefficient.
6. The method of claim 5, wherein the method further comprises:
acquiring historical data of traffic crossing risk information of a plurality of drinking water source areas in a preset management area;
analyzing the historical data by using a preset analysis model to obtain analysis result information, wherein the preset analysis model comprises a preset management period and a preset risk threshold value, and the analysis result information comprises risk score data determined based on a time period;
and determining management scheme information according to the analysis result information, wherein the management scheme information comprises manager duty information determined based on the time period and the water source place.
7. The method of claim 6, wherein analyzing the historical data with the predetermined analysis model to obtain analysis result information comprises:
determining that the traffic crossing risk information higher than a preset risk threshold value is a high-risk unit time period in the historical data;
acquiring the number of high-risk unit time periods occurring in each continuous preset number of unit time, and calculating the time period risk accumulated value of the traffic crossing risk information of each continuous preset number of unit time;
substituting the time period risk accumulated value and the high risk unit time number into a time, risk, quantity and management necessary score comparison table to obtain the risk score data, wherein one risk score data comprises management necessary scores of a continuous preset quantity of units of time corresponding to a time period of a drinking water source.
8. The method of claim 7, wherein said determining management scheme information from said analysis result information comprises:
in each preset management period, acquiring risk score data with the maximum management necessary score of each drinking water source area as first-echelon risk score data;
acquiring first-echelon risk score data with the management necessary score being greater than a management score threshold value as first necessary risk score data;
analyzing a rule of occurrence of first necessary risk score data of each drinking water source area based on a preset management period based on a data analysis model;
and determining the duty information of the manager according to the rule.
9. The system for managing the risk of the passing of the traffic in the drinking water source area is characterized by comprising a vehicle information acquisition subsystem and a server; the vehicle information acquisition subsystem is configured to acquire vehicle information, the server being configured to perform the method of any one of claims 1-8.
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