CN117870781A - Municipal road surface water detection early warning method and system based on road surface water remote measurement terminal - Google Patents
Municipal road surface water detection early warning method and system based on road surface water remote measurement terminal Download PDFInfo
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- CN117870781A CN117870781A CN202410283059.XA CN202410283059A CN117870781A CN 117870781 A CN117870781 A CN 117870781A CN 202410283059 A CN202410283059 A CN 202410283059A CN 117870781 A CN117870781 A CN 117870781A
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- 238000001514 detection method Methods 0.000 title claims abstract description 111
- 238000000034 method Methods 0.000 title claims abstract description 99
- 239000002352 surface water Substances 0.000 title claims description 52
- 238000005259 measurement Methods 0.000 title abstract description 4
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 129
- 230000007613 environmental effect Effects 0.000 claims description 22
- 238000012545 processing Methods 0.000 claims description 19
- 238000009825 accumulation Methods 0.000 claims description 11
- 239000013049 sediment Substances 0.000 claims description 6
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- 230000003068 static effect Effects 0.000 abstract description 3
- 230000000694 effects Effects 0.000 abstract description 2
- 206010039203 Road traffic accident Diseases 0.000 description 4
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- 238000011161 development Methods 0.000 description 1
- 238000001704 evaporation Methods 0.000 description 1
- 238000011065 in-situ storage Methods 0.000 description 1
- 230000000149 penetrating effect Effects 0.000 description 1
- 239000011148 porous material Substances 0.000 description 1
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- 238000005096 rolling process Methods 0.000 description 1
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- 238000005303 weighing Methods 0.000 description 1
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
- G01F23/00—Indicating or measuring liquid level or level of fluent solid material, e.g. indicating in terms of volume or indicating by means of an alarm
- G01F23/14—Indicating or measuring liquid level or level of fluent solid material, e.g. indicating in terms of volume or indicating by means of an alarm by measurement of pressure
- G01F23/18—Indicating, recording or alarm devices actuated electrically
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
- G01F23/00—Indicating or measuring liquid level or level of fluent solid material, e.g. indicating in terms of volume or indicating by means of an alarm
- G01F23/22—Indicating or measuring liquid level or level of fluent solid material, e.g. indicating in terms of volume or indicating by means of an alarm by measuring physical variables, other than linear dimensions, pressure or weight, dependent on the level to be measured, e.g. by difference of heat transfer of steam or water
- G01F23/28—Indicating or measuring liquid level or level of fluent solid material, e.g. indicating in terms of volume or indicating by means of an alarm by measuring physical variables, other than linear dimensions, pressure or weight, dependent on the level to be measured, e.g. by difference of heat transfer of steam or water by measuring the variations of parameters of electromagnetic or acoustic waves applied directly to the liquid or fluent solid material
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Abstract
The utility model relates to a municipal road surface ponding detects early warning method and system based on road surface ponding telemetry terminal, solved static pressure fluviograph and easily influenced by road silt and led to the fact the measurement deviation to can only install the road tooth at the roadside and avoid the vehicle to roll, must go local reading of checking meter extremely unchanged when needs ponding data, and because the equipment is huge installs inconvenient and influence the pleasing to the eye problem in city, its method includes: and analyzing and acquiring the early warning degree according to the municipal road drainage capacity grade, the range of an environment temperature interval in which the average environment temperature falls, the corresponding relation between the range of a water level detection value in which the water level detection value falls and the early warning degree, and if the analyzed and acquired early warning degree exceeds the first early warning degree, sending road section management and control information to a terminal held by a responsible person responsible for the corresponding road section. The application has the following effects: the detection accuracy of the ponding water level is improved, and relevant responsible persons can be timely notified when the ponding water level is high.
Description
Technical Field
The invention relates to the technical field of traffic, in particular to a municipal road surface water detection and early warning method and system based on a road surface water telemetry terminal.
Background
With the development of society, automobiles become increasingly important vehicles in people's life, and play an important role in the transportation field. In the existing traffic accidents, the proportion of the traffic accidents caused by road condition factors of the driving road sections is very high, and besides the own characteristics of the driving road sections and the influence of environmental factors, such as steep mountain roads, large turning angles, poor lighting conditions, wet roads and the like, the reasons for the occurrence of the accidents are very important, namely drivers cannot know the situation of accumulated water on the road surfaces of the driving road sections, and further cannot take corresponding measures in time, so that the traffic accidents are caused. The road surface on which the vehicle passes through the water is usually watched and judged by a driver, and the obtained information is extremely inaccurate, so that the probability of occurrence of traffic accidents is increased.
The prior art adopts a static pressure type water level meter and is provided with a solar power supply local display terminal, but the static pressure type water level meter is easily influenced by road silt blockage to cause measurement deviation, road teeth which can only be installed on the roadside are used for avoiding rolling of vehicles, when water accumulation data are needed, local meter reading is required to be unchanged, and the equipment is inconvenient to install and the urban attractiveness is influenced.
Disclosure of Invention
In order to improve the detection accuracy of ponding water level, and can in time inform relevant responsible person when ponding water level is higher, this application provides municipal road surface ponding detection early warning method and system based on road surface ponding.
In a first aspect, the application provides a municipal road surface water detection and early warning method and system based on a road surface water telemetry terminal, which adopts the following technical scheme:
municipal road surface ponding detection early warning method based on road surface ponding telemetry terminal, road surface ponding telemetry terminal is installed in the in-situ open pore buried type of detection ponding area, and road surface ponding telemetry terminal includes conductivity detection device, ultrasonic detection device, pressure detection device, temperature detection device, and municipal road surface ponding detection early warning method includes:
step S100, starting a preset conductivity detection device to detect whether water exists on a road surface; if not, executing step S200; if yes, go to step S300;
step S200, starting a pressure detection device to detect and acquire pressure data of a sediment covering on the surface of the pavement water telemetry terminal;
step S300, starting an ultrasonic detection device to measure water level data, and analyzing whether the water level data exceeds preset water level data; if not, executing step S400; if yes, go to step S500;
step S400, analyzing whether the blind area range detected by ultrasonic waves exceeds a preset range, if so, starting a pressure detection device to detect and acquire pressure data when water exists, calculating real water pressure data according to the pressure data when water exists and the pressure data of the weight of the sediment covering when no water exists, analyzing and acquiring real water level data determined based on the pressure data according to the corresponding relation between the pressure data and the water level data, and executing step S700 after executing step S400, wherein the real water level data is used as a water level detection value of municipal road surface accumulated water;
step S500, judging that the water level data is a high water level, starting a pressure detection device to detect and acquire the pressure data when water exists, analyzing and acquiring the water level data determined based on the pressure data according to the corresponding relation between the pressure data and the water level data, and executing step S600 after executing step S500;
step S600, according to the water level data determined by the pressure data and the water level data measured by the ultrasonic detection device, analyzing and calculating to obtain a water level data difference, and if the water level data difference is within a preset difference range, taking the water level data measured by the ultrasonic detection device as a water level detection value of municipal road surface water;
step S700, obtaining drainage grades of municipal road surface water accumulation areas, simultaneously starting a temperature detection device to detect the environmental temperature of the municipal road surface water accumulation areas, analyzing and obtaining average environmental temperature in a preset time range according to the detected environmental temperature, analyzing and obtaining the environmental temperature range in which the average environmental temperature falls, and analyzing and obtaining the early warning degree according to the corresponding relation between the municipal road surface drainage capacity grades, the environmental temperature range in which the average environmental temperature falls, the range of water level detection values in which the water level detection values fall and the early warning degree, wherein the municipal road surface drainage capacity grades correspond to the range of the range in which the water drainage amount in unit time falls;
step S800, if the analyzed and acquired early warning degree exceeds the first early warning degree, transmitting road section management and control information to a terminal held by a responsible person in charge of the corresponding road section, analyzing and determining a time interval of limiting processing according to a corresponding relation between an early warning degree interval range in which the analyzed and acquired early warning degree falls and the time interval of limiting processing, and taking the analyzed and determined time interval of limiting processing as a preset time interval for the responsible person to arrive at the site to manage and control the vehicle in charge of the site after receiving the information;
step S900, if the analyzed early warning degree is less than or equal to the first early warning degree, no reminding is performed.
Through adopting above-mentioned technical scheme, combining conductivity detection device, ultrasonic detection device and pressure detection device's combination setting can improve the accurate analysis to the water level, on the basis of accurate analysis water level, comprehensively consider municipal road surface ponding regional drainage grade, municipal road surface ponding regional ambient temperature and the risk that water level detection value can effectively analyze the water level and bring to according to the condition concrete determination process time of early warning degree, be favorable to responsible personnel in time to know the condition and in time handle, reduce the risk that the water level rose and bring.
Optionally, the analyzing the time interval of the determining the limiting process includes:
acquiring the traffic flow of the municipal road surface with the early warning degree exceeding the first early warning degree;
and analyzing and determining the time interval of the limiting process according to the corresponding relation between the range of the traffic flow interval, the range of the early warning degree interval and the time interval of the limiting process, wherein the traffic flow falls into the range of the traffic flow interval, and the early warning degree falls into the range of the early warning degree.
By adopting the technical scheme, the traffic flow of the municipal road surface is further analyzed, and the time interval of the limiting treatment is determined by combining the traffic flow and the early warning degree, so that the determined time interval of the limiting treatment is more reasonable.
Optionally, obtaining the traffic flow of the municipal road surface with the early warning degree exceeding the first early warning degree includes:
acquiring a time period and a week number of the time when the early warning degree exceeds the first early warning degree;
and analyzing and obtaining the traffic flow of the municipal road surface with the early warning degree exceeding the first early warning degree according to the corresponding relation between the time period, the number of weeks and the traffic flow of the time with the early warning degree exceeding the first early warning degree.
By adopting the technical scheme, the vehicle flow is determined by comprehensively considering the time period and the number of weeks, so that the analyzed and determined vehicle flow is more reasonable.
Optionally, according to a correspondence between a traffic flow interval range in which traffic flow falls, an early warning degree interval range in which early warning degree falls, and a time interval of limiting processing, analyzing and determining the time interval of limiting processing includes:
according to the corresponding relation between the time period, the number of weeks and the vehicle type distribution probability when the early warning degree exceeds the first early warning degree, analyzing and determining the vehicle type distribution probability, wherein the vehicle type comprises a sedan, an SUV, a sedan, a passenger car, a trailer and a motorcycle;
and analyzing and determining the time interval of the limiting process according to the corresponding relation between the vehicle type distribution probability, the vehicle flow interval range in which the vehicle flow falls, the early warning degree interval range in which the early warning degree falls and the time interval of the limiting process.
By adopting the technical scheme, the situation that the chassis is different in height due to different vehicle types is further considered, so that risks are also different, and the vehicle type distribution probability is analyzed by combining time periods and week numbers, so that the time interval for analysis and determination of limiting treatment is more reasonable.
Optionally, the analyzing the time interval of the determining the limiting process includes:
obtaining rainfall capacity of municipal road surfaces with early warning degrees exceeding the first early warning degree;
and analyzing and determining the time interval of the limiting process according to the corresponding relation between the rainfall interval range in which the rainfall falls, the early warning degree interval range in which the early warning degree falls and the time interval of the limiting process.
By adopting the technical scheme, the time interval of the limiting treatment is determined by comprehensively considering the rainfall and the early warning degree, so that the time interval of the limiting treatment determined by analysis can be more reasonable.
Optionally, obtaining the rainfall of the municipal road surface with the early warning degree exceeding the first early warning degree includes:
obtaining rainfall capacity of the municipal road surface with the early warning degree exceeding the first early warning degree in a future preset time range;
and analyzing and determining the time interval of the limiting process according to the corresponding relation between the rainfall interval range in which the rainfall falls in the future preset time range, the early warning degree interval range in which the early warning degree falls and the time interval of the limiting process.
By adopting the technical scheme, the rainfall and the early warning degree in the future preset time range are comprehensively considered, so that the time interval of the analyzed and determined limiting treatment can be more reasonable.
Optionally, the analyzing the time interval of the determining the limiting process includes:
obtaining traffic flow and rainfall of municipal road surfaces with early warning degrees exceeding the first early warning degree;
and analyzing and determining the time interval of the limiting process according to the corresponding relation between the vehicle flow interval range in which the vehicle flow falls, the rainfall interval range in which the rainfall falls, the early warning degree interval range in which the early warning degree falls and the time interval of the limiting process.
By adopting the technical scheme, the traffic flow, the rainfall and the early warning degree are comprehensively considered, so that the time interval of the analyzed and determined limiting treatment can be more reasonable.
Optionally, the municipal surface water detection and early warning method based on the surface water telemetry terminal further comprises the step of taking the analyzed and determined time interval of limiting treatment as a preset time interval for limiting responsible personnel to arrive at the site to be responsible for controlling the on-site vehicle after receiving the information, and specifically comprises the following steps:
analyzing the basic information of the preset time interval for limiting the person in charge to arrive at the site to be in charge of controlling the vehicle on site after receiving the information, and the time rate for the person in charge to arrive at the site;
if the punctual rate of the responsible person arriving at the site is smaller than the preset value, the reminding information is sent at regular time before the responsible person arrives at the site.
By adopting the technical scheme, the situation that the responsible personnel arrive on site untimely is considered, and reminding information can be sent under the condition of need.
In a second aspect, the application provides a municipal road surface ponding detection early warning system based on a road surface ponding telemetry terminal, which adopts the following technical scheme:
the municipal surface water detection and early warning system based on the surface water telemetry terminal comprises a memory, a processor and a program which is stored in the memory and can run on the processor, wherein the program can realize the municipal surface water detection and early warning method based on the surface water telemetry terminal according to the first aspect when loaded and executed by the processor.
Through adopting above-mentioned technical scheme, through relevant procedure transfer, can combine conductivity detection device, ultrasonic detection device and pressure detection device's combination setting can improve the accurate analysis to the water level, on accurate analysis water level's basis, comprehensively consider municipal road surface ponding regional drainage grade, municipal road surface ponding regional ambient temperature and water level detection value can effectively analyze the risk that the water level brought to according to the condition concrete determination process time of early warning degree, be favorable to responsible personnel in time to know the condition and in time handle, reduce the risk that the water level rose and bring.
In summary, the beneficial technical effects of the application are:
the accuracy rate of water level detection is improved.
When the water level detection value is higher, factors such as vehicle flow and rainfall can be comprehensively considered, risk conditions brought by analysis can be analyzed, and corresponding responsible persons can be timely notified and timely processed.
Drawings
Fig. 1 is a schematic overall flow chart of a municipal surface water detection and early warning method based on a surface water telemetry terminal according to an embodiment of the application.
FIG. 2 is a flow chart illustrating an analysis of time intervals for determining a constraint process according to another embodiment of the present application.
Fig. 3 is a schematic flow chart of obtaining a vehicle flow of a municipal road surface with an early warning degree exceeding a first early warning degree according to another embodiment of the application.
Fig. 4 is a flow chart of analyzing and determining a time interval of the limiting process according to a corresponding relationship between a traffic flow interval range in which traffic flow falls, an early warning degree interval range in which early warning degree falls, and the time interval of the limiting process according to another embodiment of the present application.
Fig. 5 is a flow chart illustrating a process for analyzing a time interval of determining a constraint process according to another embodiment of the present application.
Fig. 6 is a schematic flow chart of obtaining rainfall of a municipal road surface with early warning degree exceeding a first early warning degree according to another embodiment of the application.
Fig. 7 is a flow chart illustrating a process for analyzing a time interval of determining a constraint process according to another embodiment of the present application.
Fig. 8 is a flowchart of steps followed by another embodiment of the present application to take the time interval of the determined restriction process as a preset time interval after which the person in charge of restriction arrives at the site to be responsible for on-site vehicle management after receiving the information.
Fig. 9 is a schematic structural view of a pavement water telemetry terminal in the present application.
Detailed Description
The present application is described in further detail below with reference to the accompanying drawings.
Referring to fig. 1, in order to disclose a municipal road surface water detection and early warning method based on a road surface water telemetry terminal, before specifically introducing the municipal road surface water detection and early warning method, the road surface water telemetry terminal is first introduced, specifically as follows:
the pavement water accumulation telemetry terminal is installed in an on-site hole buried mode in a water accumulation detection area, the pavement water accumulation telemetry terminal comprises a conductivity detection device, an ultrasonic detection device, a pressure detection device and a temperature detection device, and particularly referring to fig. 9, the conductivity detection device is a conductivity electrode in fig. 9, and the conductivity electrode can be used for conducting signal acquisition through a preset conductivity electrode sampling circuit; the temperature detection device is the temperature sensor in fig. 9 and is used for sensing the ambient temperature; the pressure detection device is a strain gauge in fig. 9, which senses the water level by a weighing principle; the ultrasonic detection device is the ultrasonic sensor in fig. 9, which measures the water level using the ultrasonic ranging principle.
Referring to fig. 1, the municipal road surface ponding detection and early warning method includes:
step S100, starting a preset conductivity detection device to detect whether water exists on the road surface. If not, executing step S200; if yes, step S300 is performed.
The conductivity detection device is different in the conductivity detection result of water, so that whether accumulated water exists on the road surface can be effectively judged through the conductivity detection device.
Step S200, a pressure detection device is started to detect and acquire pressure data of a sediment covering on the surface of the pavement water telemetry terminal.
Because the pavement does not have water, then the object that covers on the surface of pavement ponding telemetry terminal is silt covering, can detect through pressure detection device and acquire the pressure data of silt covering.
Step S300, starting an ultrasonic detection device to measure water level data and analyzing whether the water level data exceeds preset water level data. If not, executing step S400; if yes, step S500 is performed.
The preset water level data can be set according to the requirement, can be 0.1 meter, and can also be at other heights.
Step S400, analyzing whether the blind area range detected by ultrasonic waves exceeds a preset range, if so, starting a pressure detection device to detect and acquire pressure data when water exists, calculating real pressure data of water according to the pressure data when water exists and the pressure data of the weight of the sediment covering when water does not exist, and analyzing and acquiring real water level data determined based on the pressure data according to the corresponding relation between the pressure data and the water level data to serve as a water level detection value of municipal road surface accumulated water. After step S400 is performed, step S700 is performed.
Wherein, ultrasonic detection's blind area preset range is decided according to ultrasonic detection device specific range, and ultrasonic detection's blind area range can be analyzed according to echo signal, and equivalent range is the same, and ultrasonic level meter's blind area and the intensity of transmitting wave are directly proportional, and the transmitting wave is stronger, and the echo signal of receipt is also stronger, but the aftervibration is also big, and the blind area is then big. Conversely, the weaker the transmitted wave, the smaller the dead zone. Under the condition that the intensity of the emitted waves is the same, the closer the detection distance is, the stronger the received echo signal is, the larger the blind area of the ultrasonic liquid level meter is, and the blind area range of ultrasonic detection can be indirectly analyzed by establishing the corresponding relation between the blind area range and the echo signal.
If the range of the blind area detected by ultrasonic waves is smaller than or equal to the preset range, the water level data is measured by the ultrasonic detection device to serve as a water level detection value of the municipal road surface ponding.
And S500, judging that the water level data is a high water level, starting a pressure detection device to detect and acquire the pressure data when water exists, and analyzing and acquiring the water level data determined based on the pressure data according to the corresponding relation between the pressure data and the water level data. After the step S500 is performed, a step S600 is performed.
Wherein the analysis of the water level data determined based on the pressure data is as follows: and inquiring water level data determined by acquiring the pressure data from a preset database storing the corresponding relation between the pressure data and the water level data by taking the pressure data as an inquiry object.
And S600, analyzing, calculating and obtaining a water level data difference according to the water level data determined by the pressure data and the water level data measured by the ultrasonic detection device, and taking the water level data measured by the ultrasonic detection device as a water level detection value of the municipal road surface water if the water level data difference is within a preset difference range.
The water level data difference is the difference value between the water level data determined by the pressure data and the water level data measured by the ultrasonic detection device.
Step S700, obtaining drainage grades of municipal road surface water accumulation areas, simultaneously starting a temperature detection device to detect the environmental temperature of the municipal road surface water accumulation areas, analyzing and obtaining average environmental temperature in a preset time range according to the detected environmental temperature, analyzing and obtaining the environmental temperature range in which the average environmental temperature falls, and analyzing and obtaining the early warning degree according to the corresponding relation between the municipal road surface drainage capacity grade, the environmental temperature range in which the average environmental temperature falls, the range of the water level detection value in which the water level detection value falls and the early warning degree, wherein the municipal road surface drainage capacity grade corresponds to the range of the range in which the water drainage amount in unit time falls.
The drainage grade of the municipal road surface water accumulation area can be obtained by inquiring a preset database which stores the interval range in which the drainage grade of the municipal road surface and the drainage amount of unit time fall.
The analysis of the early warning level is as follows: the method comprises the steps of taking municipal road surface drainage capacity level, an environment temperature interval range in which average environment temperature falls and a water level detection value in which a water level detection value falls as common query objects, and querying and acquiring the early warning degree from a database which is stored with the corresponding relation between the municipal road surface drainage capacity level, the environment temperature interval range in which average environment temperature falls and the water level detection value interval range in which the water level detection value falls and the early warning degree.
Step S800, if the analyzed and acquired early warning degree exceeds the first early warning degree, transmitting road section management and control information to a terminal held by a responsible person in charge of the corresponding road section, analyzing and determining a time interval of limiting processing according to the corresponding relation between the early warning degree interval range in which the analyzed and acquired early warning degree falls and the time interval of limiting processing, and taking the analyzed and determined time interval of limiting processing as a preset time interval for the responsible person to arrive at the site in charge of on-site vehicle management and control after receiving the information.
The first early warning degree can be 2 or 3, and can be set according to the needs, and the terminal held by responsible personnel can be a mobile phone or a computer or other terminal equipment; the analysis of the time interval of the limiting process is determined as follows: and inquiring the time interval of the limitation processing from a preset database storing the corresponding relation between the early warning degree interval range in which the early warning degree is analyzed and obtained and the time interval of the limitation processing by taking the early warning degree interval range in which the early warning degree is analyzed and obtained as an inquiry object.
Step S900, if the analyzed early warning degree is less than or equal to the first early warning degree, no reminding is performed.
In step S800 of fig. 1, it is also necessary to consider analysis of the time interval of the limiting process and also consider the case of the vehicle flow, and this will be described in detail with reference to the embodiment shown in fig. 2.
Referring to fig. 2, the analysis determines the time interval of the limiting process includes:
and step S810, acquiring the traffic flow of the municipal road surface with the early warning degree exceeding the first early warning degree.
The traffic flow is represented by a formula by taking vehicles passing through a certain road section in unit time as a standard and the number of vehicles passing through a certain road point in a certain time: the formula of the traffic flow is: traffic flow = passing number of vehicles/time, traffic flow for a municipal road surface with an early warning degree exceeding the first early warning degree may be obtained by querying a database in which traffic flow for a municipal road surface with an early warning degree exceeding the first early warning degree is recorded by current implementation.
Step S820, analyzing and determining the time interval of the limiting process according to the corresponding relation between the range of the traffic flow interval in which the traffic flow falls, the range of the early warning degree in which the early warning degree falls and the time interval of the limiting process.
Wherein the analysis of the time interval of the limiting process is determined as follows: and inquiring and acquiring the time interval of the limiting process from a preset database storing the corresponding relation between the range of the traffic flow interval in which the traffic flow falls, the range of the early warning degree in which the early warning degree falls and the time interval of the limiting process by taking the range of the traffic flow interval in which the traffic flow falls and the range of the early warning degree in which the early warning degree falls as query objects.
In step S810 of fig. 2, further consideration is given to the fact that the traffic flow of the municipal road surface with the early warning degree exceeding the first early warning degree should not only consider the current time node, but also comprehensively consider the traffic flow of the future preset time range, which is described in detail with reference to the embodiment shown in fig. 3.
Referring to fig. 3, obtaining the traffic flow of the municipal road surface with the early warning degree exceeding the first early warning degree includes:
step S811, the time period and the week number of the time when the early warning degree exceeds the first early warning degree are obtained.
Step S812, according to the corresponding relation between the time period, the number of weeks and the traffic flow when the early warning degree exceeds the first early warning degree, the traffic flow of the municipal road surface with the early warning degree exceeding the first early warning degree is obtained through analysis.
The analysis of the traffic flow of the municipal road surface with the early warning degree exceeding the first early warning degree is obtained as follows: and taking the time period and the week number of the time when the early warning degree exceeds the first early warning degree as query objects, and querying and acquiring the traffic flow of the municipal road surface with the early warning degree exceeding the first early warning degree from a preset database storing the corresponding relation between the time period and the week number of the time when the early warning degree exceeds the first early warning degree and the traffic flow.
In step S820 of fig. 2, further analysis of the time interval of the braking process is required, considering that the type of specific driving is different and the influence of different types of vehicles is different due to different chassis heights, and the embodiment shown in fig. 4 will be described in detail.
Referring to fig. 4, according to the correspondence between the traffic flow interval range in which the traffic flow falls, the early warning degree interval range in which the early warning degree falls, and the time interval of the limitation processing, the analysis and determination of the time interval of the limitation processing includes:
step S821, analyzing and determining the vehicle type distribution probability according to the corresponding relation between the time period, the number of weeks and the vehicle type distribution probability when the early warning degree exceeds the first early warning degree.
Wherein, the vehicle type comprises a sedan, an SUV, a sedan, a passenger car, a trailer and a motorcycle; the analysis of the probability of the vehicle type distribution is determined as follows: and taking the time period and the week number of the time when the early warning degree exceeds the first early warning degree as query objects, and querying and acquiring the vehicle type distribution probability from a preset database storing the corresponding relation between the time period and the week number of the time when the early warning degree exceeds the first early warning degree and the vehicle type distribution probability.
Step S822, analyzing and determining a time interval of the limitation process according to the correspondence between the vehicle type distribution probability, the vehicle flow interval range in which the vehicle flow falls, the pre-warning degree interval range in which the pre-warning degree falls, and the time interval of the limitation process.
Wherein the analysis of the time interval of the limiting process is determined as follows: the method comprises the steps of taking a vehicle type distribution probability, a vehicle flow interval range in which the vehicle flow falls and an early warning degree interval range in which the early warning degree falls as query objects, and querying and obtaining time intervals of limiting processing from a database which is stored with corresponding relations of the vehicle type distribution probability, the vehicle flow interval range in which the vehicle flow falls, the early warning degree interval range in which the early warning degree falls and the time intervals of limiting processing.
In step S800 of fig. 1, the factor of the rainfall should also be taken into consideration when analyzing the time interval of the determination limiting process, specifically described in detail with reference to the embodiment shown in fig. 5.
Referring to fig. 5, the analysis determines the time interval of the limiting process includes:
and S8a0, obtaining the rainfall of the municipal road surface with the early warning degree exceeding the first early warning degree.
The rainfall refers to the total rainfall (snow) in 12 or 24 hours. [7] It may also refer to liquid or solid (melted) water that falls from the sky to the ground and accumulates in the horizontal plane without evaporating, penetrating, or losing. The precipitation is in mm, and one decimal place is taken in meteorological observation.
Step S8b0, analyzing and determining the time interval of the limiting process according to the corresponding relation between the rainfall interval range in which the rainfall falls, the early warning degree interval range in which the early warning degree falls and the time interval of the limiting process.
Wherein the analysis of the time interval of the limiting process is determined as follows: and inquiring and acquiring the time interval of the limiting process from a preset database storing the corresponding relation between the rainfall interval range in which the rainfall falls, the early warning range in which the early warning degree falls and the time interval of the limiting process by taking the rainfall interval range in which the rainfall falls and the early warning range in which the early warning degree falls as query objects.
In step S8a0 of fig. 5, it should be further considered that the rainfall of the municipal road surface with the early warning degree exceeding the first early warning degree should be considered not only when the present time but also when the preset time range in the future, and the detailed description will be made with reference to the embodiment shown in fig. 6.
Referring to fig. 6, obtaining rainfall of a municipal road surface with an early warning degree exceeding a first early warning degree includes:
and step S8a1, obtaining the rainfall of the municipal road surface with the early warning degree exceeding the first early warning degree in a future preset time range.
Wherein the future preset time range may be 3 hours or 6 hours.
Step S8a2, analyzing and determining the time interval of the limiting process according to the corresponding relation between the rainfall interval range in which the rainfall falls in the future preset time range, the early warning degree interval range in which the early warning degree falls and the time interval of the limiting process.
Wherein the analysis of the time interval of the limiting process is determined as follows: and inquiring the time interval of the restriction processing from a database which is stored with the corresponding relation between the rainfall interval range in which the rainfall falls in the future preset time range, the early warning interval range in which the early warning degree falls and the time interval of the restriction processing.
In step S800 of fig. 1, the determination of the vehicle flow rate and the rainfall should be comprehensively considered in further consideration of the analysis of the time interval of the limiting process, specifically described in detail with reference to the embodiment shown in fig. 7.
Referring to fig. 7, the analysis determines the time interval of the restriction process includes:
and S8A0, acquiring the traffic flow and the rainfall of the municipal road surface with the early warning degree exceeding the first early warning degree.
Step S8B0, analyzing and determining the time interval of the limiting process according to the corresponding relation between the vehicle flow interval range in which the vehicle flow falls, the rainfall interval range in which the rainfall falls, the early warning degree interval range in which the early warning degree falls and the time interval of the limiting process.
Wherein the analysis of the time interval of the limiting process is determined as follows: and inquiring and acquiring the time interval of the limiting process from a database which stores the corresponding relation between the vehicle flow interval range in which the vehicle flow falls, the rainfall interval range in which the rainfall falls, the early warning interval range in which the early warning degree falls and the time interval of the limiting process.
After step S800 in fig. 1, it should also be considered whether the responsible person can arrive at the site in time, and specifically, the details will be described with reference to the embodiment shown in fig. 8.
Referring to fig. 8, the municipal surface water detection and early warning method based on the surface water telemetry terminal further includes a step of taking the analyzed and determined time interval of the limiting process as a preset time interval for a limiting responsible person to arrive at a site responsible site for vehicle management and control after receiving information, and specifically includes the following steps:
and step SA00, analyzing the basic information of the preset time interval for limiting the person in charge to arrive at the site to be in charge of controlling the vehicle on the site after receiving the information, and analyzing the time rate of the person in charge to arrive at the site.
Step SB00, if the time rate of the person in charge arriving at the site is smaller than the preset value, the reminding information is sent at fixed time before the person in charge arrives at the site.
The timing may be 1 hour or half an hour, and may be specifically set as needed.
Based on the same inventive concept, the embodiment of the invention provides a municipal road surface water detection and early warning system based on a road surface water telemetry terminal, which comprises a memory and a processor, wherein a program capable of realizing any one of the methods shown in fig. 1-8 is stored in the memory.
The embodiments of the present invention are all preferred embodiments of the present application, and are not intended to limit the scope of the present application in this way, therefore: all equivalent changes in structure, shape and principle of this application should be covered in the protection scope of this application.
Claims (9)
1. Municipal road surface ponding detection early warning method based on road surface ponding telemetry terminal, characterized in that, road surface ponding telemetry terminal is buried in the installation in the regional on-site trompil of detection ponding, and road surface ponding telemetry terminal includes conductivity detection device, ultrasonic detection device, pressure detection device, temperature detection device, and municipal road surface ponding detection early warning method includes:
step S100, starting a preset conductivity detection device to detect whether water exists on a road surface; if not, executing step S200; if yes, go to step S300;
step S200, starting a pressure detection device to detect and acquire pressure data of a sediment covering on the surface of the pavement water telemetry terminal;
step S300, starting an ultrasonic detection device to measure water level data, and analyzing whether the water level data exceeds preset water level data; if not, executing step S400; if yes, go to step S500;
step S400, analyzing whether the blind area range detected by ultrasonic waves exceeds a preset range, if so, starting a pressure detection device to detect and acquire pressure data when water exists, calculating real water pressure data according to the pressure data when water exists and the pressure data of the weight of the sediment covering when no water exists, analyzing and acquiring real water level data determined based on the pressure data according to the corresponding relation between the pressure data and the water level data, and executing step S700 after executing step S400, wherein the real water level data is used as a water level detection value of municipal road surface accumulated water;
step S500, judging that the water level data is a high water level, starting a pressure detection device to detect and acquire the pressure data when water exists, analyzing and acquiring the water level data determined based on the pressure data according to the corresponding relation between the pressure data and the water level data, and executing step S600 after executing step S500;
step S600, according to the water level data determined by the pressure data and the water level data measured by the ultrasonic detection device, analyzing and calculating to obtain a water level data difference, and if the water level data difference is within a preset difference range, taking the water level data measured by the ultrasonic detection device as a water level detection value of municipal road surface water;
step S700, obtaining drainage grades of municipal road surface water accumulation areas, simultaneously starting a temperature detection device to detect the environmental temperature of the municipal road surface water accumulation areas, analyzing and obtaining average environmental temperature in a preset time range according to the detected environmental temperature, analyzing and obtaining the environmental temperature range in which the average environmental temperature falls, and analyzing and obtaining the early warning degree according to the corresponding relation between the municipal road surface drainage capacity grades, the environmental temperature range in which the average environmental temperature falls, the range of water level detection values in which the water level detection values fall and the early warning degree, wherein the municipal road surface drainage capacity grades correspond to the range of the range in which the water drainage amount in unit time falls;
step S800, if the analyzed and acquired early warning degree exceeds the first early warning degree, transmitting road section management and control information to a terminal held by a responsible person in charge of the corresponding road section, analyzing and determining a time interval of limiting processing according to a corresponding relation between an early warning degree interval range in which the analyzed and acquired early warning degree falls and the time interval of limiting processing, and taking the analyzed and determined time interval of limiting processing as a preset time interval for the responsible person to arrive at the site to manage and control the vehicle in charge of the site after receiving the information;
step S900, if the analyzed early warning degree is less than or equal to the first early warning degree, no reminding is performed.
2. The method for municipal surface water detection and early warning based on surface water telemetry terminals of claim 1, wherein analyzing and determining the time interval of the limiting process comprises:
acquiring the traffic flow of the municipal road surface with the early warning degree exceeding the first early warning degree;
and analyzing and determining the time interval of the limiting process according to the corresponding relation between the range of the traffic flow interval, the range of the early warning degree interval and the time interval of the limiting process, wherein the traffic flow falls into the range of the traffic flow interval, and the early warning degree falls into the range of the early warning degree.
3. The method for detecting and warning municipal surface water based on a surface water telemetry terminal according to claim 2, wherein obtaining the traffic flow of the municipal surface with the warning degree exceeding the first warning degree comprises:
acquiring a time period and a week number of the time when the early warning degree exceeds the first early warning degree;
and analyzing and obtaining the traffic flow of the municipal road surface with the early warning degree exceeding the first early warning degree according to the corresponding relation between the time period, the number of weeks and the traffic flow of the time with the early warning degree exceeding the first early warning degree.
4. The municipal surface water detection and early warning method based on the surface water telemetry terminal according to claim 3, wherein the step of analyzing and determining the time interval of the limiting process according to the correspondence between the vehicle flow interval range in which the vehicle flow falls, the early warning degree interval range in which the early warning degree falls and the time interval of the limiting process comprises the steps of:
according to the corresponding relation between the time period, the number of weeks and the vehicle type distribution probability when the early warning degree exceeds the first early warning degree, analyzing and determining the vehicle type distribution probability, wherein the vehicle type comprises a sedan, an SUV, a sedan, a passenger car, a trailer and a motorcycle;
and analyzing and determining the time interval of the limiting process according to the corresponding relation between the vehicle type distribution probability, the vehicle flow interval range in which the vehicle flow falls, the early warning degree interval range in which the early warning degree falls and the time interval of the limiting process.
5. The method for municipal surface water detection and early warning based on surface water telemetry terminals of claim 1, wherein analyzing and determining the time interval of the limiting process comprises:
obtaining rainfall capacity of municipal road surfaces with early warning degrees exceeding the first early warning degree;
and analyzing and determining the time interval of the limiting process according to the corresponding relation between the rainfall interval range in which the rainfall falls, the early warning degree interval range in which the early warning degree falls and the time interval of the limiting process.
6. The method for detecting and warning municipal surface water based on a surface water telemetry terminal according to claim 5, wherein obtaining the rainfall of the municipal surface with the warning degree exceeding the first warning degree comprises:
obtaining rainfall capacity of the municipal road surface with the early warning degree exceeding the first early warning degree in a future preset time range;
and analyzing and determining the time interval of the limiting process according to the corresponding relation between the rainfall interval range in which the rainfall falls in the future preset time range, the early warning degree interval range in which the early warning degree falls and the time interval of the limiting process.
7. The method for municipal surface water detection and early warning based on surface water telemetry terminals of claim 1, wherein analyzing and determining the time interval of the limiting process comprises:
obtaining traffic flow and rainfall of municipal road surfaces with early warning degrees exceeding the first early warning degree;
and analyzing and determining the time interval of the limiting process according to the corresponding relation between the vehicle flow interval range in which the vehicle flow falls, the rainfall interval range in which the rainfall falls, the early warning degree interval range in which the early warning degree falls and the time interval of the limiting process.
8. The municipal surface water detection and early warning method based on a surface water telemetry terminal according to any one of claims 1 to 7, further comprising the step of taking the time interval of the analyzed and determined limitation process as a preset time interval after the person in charge of limitation arrives at the site in charge of on-site vehicle management after receiving the information, specifically comprising the following steps:
analyzing the basic information of the preset time interval for limiting the person in charge to arrive at the site to be in charge of controlling the vehicle on site after receiving the information, and the time rate for the person in charge to arrive at the site;
if the punctual rate of the responsible person arriving at the site is smaller than the preset value, the reminding information is sent at regular time before the responsible person arrives at the site.
9. The municipal surface water detection and early warning system based on the surface water telemetry terminal is characterized by comprising a memory, a processor and a program stored on the memory and capable of running on the processor, wherein the program can realize the municipal surface water detection and early warning method based on the surface water telemetry terminal according to any one of claims 1 to 8 when loaded and executed by the processor.
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