CN114066305A - Early warning method for high risk area where hazardous chemical substance transport vehicle abnormally resides - Google Patents

Early warning method for high risk area where hazardous chemical substance transport vehicle abnormally resides Download PDF

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CN114066305A
CN114066305A CN202111419329.8A CN202111419329A CN114066305A CN 114066305 A CN114066305 A CN 114066305A CN 202111419329 A CN202111419329 A CN 202111419329A CN 114066305 A CN114066305 A CN 114066305A
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周明
冯益生
王红星
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Clp Hongxin Information Technology Co ltd
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Abstract

The invention discloses an early warning method for an abnormal resident high-risk area of a hazardous chemical substance transport vehicle, which comprises the following steps: step one, acquiring the following original data; step two, synthesizing a residence point: calculating and analyzing a real-time GPS track of the hazardous chemical substance transport vehicle, and extracting a resident node; step three, removing reasonable stopping points aiming at the stopping positions of the vehicles which are continuously in a certain space range within a certain time, and screening out abnormal resident stopping points; and performing overall analysis according to the situation in the last month, and early warning on a high-risk area where frequent (more than 3 times of residence in the last month) abnormal residence points are located. The method is based on the calculation rule and the judgment method of the abnormal residence, deep mining analysis is carried out on the residence information of the dangerous chemical transport vehicle, so that the early warning information suitable for the effective abnormal residence high-risk area in the whole road section is formed, and the method has the advantages of comprehensive rule, wide application range, accurate calculation, accurate judgment and the like.

Description

Early warning method for high risk area where hazardous chemical substance transport vehicle abnormally resides
Technical Field
The invention belongs to the field of hazardous chemical substance vehicle management, and particularly relates to an early warning method for a high-risk area where hazardous chemical substance transport vehicles abnormally reside.
Background
The dangerous chemical substance is a highly toxic chemical substance and other chemical substances which have the properties of toxicity, corrosion, explosion, combustion supporting and the like and have harm to human bodies, facilities and the environment, and the dangerous chemical substance transport vehicle is a special vehicle which is not closed at the top of a container, is provided with a firecrackers preventing device at the front part of an exhaust pipe and transports dangerous chemicals such as petrochemical industry, explosives, firecrackers and the like. In recent years, with the rapid development of economic construction in China, the demands of production and life on hazardous chemicals are increasing, and meanwhile, serious traffic accidents caused by hazardous chemical transport vehicles also cause wide social attention.
The Ministry of transportation requires that a national dangerous goods road transportation safety supervision system is built, and a pattern of networking supervision, accurate supervision, professional supervision and cooperative supervision implemented by using an informatization means is formed, so that the safety supervision capability is obviously improved. The existing system mainly monitors the action track of a vehicle, but lacks an effective early warning mechanism and method for a monitoring scene of abnormal residence of a hazardous chemical substance transport vehicle. Therefore, in order to solve the problem that the existing hazardous chemical substance vehicle is not well managed, the existing hazardous chemical substance vehicle management method needs to be improved.
The technical scheme of the prior art I is as follows: the patent with the application number of CN201520780210.7 is a tracking management early warning system for dangerous chemical vehicles on a highway, which sequentially comprises a center management system, a station level management system and an entrance and exit lane management system; the central management system and the station level management system comprise a charging management system, and the central management system and the station level management system respectively comprise a vehicle management system; the entrance and exit lane management system comprises a vehicle information tracking management device; the vehicle information tracking management device comprises a vehicle-mounted terminal, a road side identification unit, a lane identification unit and a central monitoring unit.
The first prior art has the following defects: the early warning system can only monitor and early warn for expressway sites, cannot cope with real-time supervision of all road sections, is only suitable for early warning and alarming for overspeed driving, border-crossing driving, fatigue driving and the like of vehicles and has no abnormal resident early warning in high-risk areas.
The technical scheme of the prior art II is as follows: the invention patent with application number CN201210056545.5 discloses a travel identification method based on travel track data, which divides track points by speed, merges track points with speed lower than a certain speed threshold into candidate staying positions, and merges the candidate staying positions by using distance and time thresholds, thereby determining real staying nodes.
The second prior art has the following defects: only the stay node is determined, and the stay activity information is not mined and analyzed, so that effective abnormal stay high-risk area early warning information cannot be formed.
Disclosure of Invention
Aiming at the defects in the prior art and solving the problem that the existing method cannot identify the high-risk area where the hazardous chemical substance transport vehicle abnormally resides in the area, the invention provides an early warning method for the high-risk area where the hazardous chemical substance transport vehicle abnormally resides, which can identify the high-risk area where the hazardous chemical substance transport vehicle abnormally resides from GPS track data with higher accuracy; in the method, the resident nodes are extracted by calculating and analyzing the real-time GPS track of the hazardous chemical substance transport vehicle; rejecting reasonable stagnation points and screening out abnormal resident stagnation points aiming at the stagnation positions of the vehicles which are continuously in a certain space range within a certain time; and performing overall analysis according to the situation in the last month, and early warning on a high-risk area where frequent (more than 3 times of residence in the last month) abnormal residence points are located.
The technical scheme adopted by the invention is as follows: an early warning method for a high risk area where hazardous chemical substance transport vehicles abnormally reside comprises the following steps:
step one, acquiring the following original data;
step two, synthesizing a residence point: in a jurisdiction area of a fixed range, sequencing track generation time in sequence according to GPS data track information of a dangerous chemical transport vehicle on the day, judging whether a current vehicle driving position is a residence point or not by combining vehicle driving speed, wherein the speed is 0 to indicate a residence state, and acquiring residence point data information;
step three, carrying out abnormity judgment on the synthesized resident point information: screening out the residence points with the duration of 20-150 minutes according to the residence duration of the residence points; combining the white list, judging whether the residence point is in a certain range around the white list, and if so, excluding the residence point; grouping the screened resident points according to three digits after the longitude and latitude decimal point, if the number of each group of data is more than or equal to N, namely in a certain area, residing for N times or more, and when the residing frequency of the certain area is more than the limited frequency, determining that the resident points are suspected to be abnormally residing; and then, artificially and accurately studying and judging suspected abnormal residence points, for example, comprehensively studying and judging by checking all dangerous chemical enterprise details within a range of 500 meters around the residence points, looking up camera video information around the residence points, looking up the residence vehicle details, looking up a waybill when the residence vehicles reside, residence time and track information, eliminating the misjudgment condition of the system, finally screening dangerous chemical transport vehicle abnormal residence point information frequently occurring in a fixed area, and early warning the high-risk area.
Further, in the first step, the raw data includes: (1) hazardous chemical substance enterprise information; (2) hazardous chemical substance vehicle waybill information; (3) vehicle trajectory data; (4) dangerous chemical information is used by industry and trade enterprises; (5) basic information of the vehicle; (6) a resident point exclusion table, namely a white list, for excluding points which do not need early warning; the above data may be obtained from a large data center or other channels to a local database.
Further, in the second step, the information of the residence point of the hazardous chemical substance transport vehicle in one month is screened out by the following method:
judging whether the parking points are in a parking exclusion table or not, and excluding the parking points data of the surrounding service area, the gas station, the special parking lot for the hazardous chemical substance vehicle and the two sides of the road;
by combining the information of dangerous chemical substances used by the industry and trade enterprises and the electronic waybill information of dangerous chemical substance vehicles, the data of the resident points which are 300 meters around the industry and trade enterprises and are consistent with the dangerous chemical substances used by the industry and trade enterprises are eliminated, and even if the waybill destination of the dangerous chemical substance vehicles is inconsistent with the resident destination, the situation of abnormal residence is not met;
in combination with the electronic waybill, excluding the data of the resident points within 300 meters around the receiving unit;
and (4) finding out the unit to which the vehicle belongs by combining the basic information of the resident vehicle, and combining and complementing the resident point information.
Further, in the second step, the vehicle running speed is judged by calculating the five-minute running distance; the specific algorithm is as follows, wherein the time interval unit is as follows: hour, distance unit: rice, latitude and longitude units: degree;
let the five-minute travel distance be D5MINDecimal point takes 1 bit); the required time is T5MINThe decimal point takes 2 bits; the formula is as follows:
Figure BDA0003376291590000031
Figure BDA0003376291590000032
wherein: long is the current longitude of the vehicle1Longitude of vehicle five minutes ago, long1E (0, 180); lat is the current vehicle latitude, lat1Latitude, lat of a vehicle five minutes ago1E (0, 90); t is the timestamp of the current recording, t1Time stamp recorded five minutes ago, t and t1The units of (A) are seconds;
and calculating the residence time of each residence point by combining the starting time and the ending time of the longitude and latitude, wherein the specific algorithm is as follows:
let the residence time be TStopThen the formula is as follows:
Δt＝tend-tstart
Figure BDA0003376291590000033
Figure BDA0003376291590000034
Ts＝Δt-Th*3600-Tm*60
Tstop＝(Th,Tm,Ts)；
Wherein: t ish、Tm、TsRespectively, the time, minute, second, T of the residence timeh,TmE is Z and Th≥0,0≤Tm＜60,0≤TsLess than 60; rem is the remainder function, tend、tstartAnd Δ t represent an end time, a start time, and a time difference, respectively.
Further, the distance between the stay point and the service area and between the production and operation type hazardous chemical substance enterprises is calculated to judge whether the stay point is beyond a reasonable stay point; the specific algorithm is as follows:
the distance between the stay point and the service area and between the production and operation type hazardous chemical enterprises is Dcase1And the decimal point takes 1 bit, the formula is as follows:
Figure BDA0003376291590000041
wherein: long is the longitude of the stop pointJDLongitude, long of dangerous chemical product enterprise for service area, production and managementJDE (0, 180); lat is the latitude of the dwell point, latWDLat, and the latitude of the production and operation type hazardous chemical enterpriseWD∈(0，90)。
Further, the distances between the stopping points and the parking lot, the gas station and the related dangerous chemical enterprise are calculated, so that whether the distances are outside the reasonable stopping points or not is judged, and the specific algorithm is as follows:
let the distance between the staying point and the parking lot, the gas station and other related dangerous chemical enterprises be Dcase2And the decimal point takes 1 bit, the formula is as follows:
Figure BDA0003376291590000042
wherein: long is the longitude of the stop pointJDLongitude, long and long for parking lot, gas station, and other dangerous chemical enterprisesJDE (0, 180); lat is the latitude of the dwell point, latWDFor parking lot, gas station, other related dangerous chemical enterprisesWD∈(0，90)。
Further, the distance between the stopping point and other stoppable point positions is calculated to judge whether the stopping point is beyond a reasonable stopping point, and the specific algorithm is as follows:
let the distance between the stopping point and other stoppable point positions be Dcase3And the decimal point takes 1 bit, the formula is as follows:
Figure BDA0003376291590000043
wherein: long is the longitude of the stop pointJDFor other possible stopping point longitude, longJDE (0, 180); lat is the latitude of the dwell point, latWDFor other possible lat pointsWD∈(0，90)。
Further, the distance between the stay point and the trade enterprise is calculated to judge whether the distance is beyond the reasonable stay point, and the specific algorithm is as follows:
let the distance between the staying point and the industry and trade enterprises be Dcase4And the decimal point takes 1 bit, the formula is as follows:
Figure BDA0003376291590000044
wherein: longAFor stopping point longitude, longBFor longitude of industry and trade enterprise, longA，longB∈(0，180)；latAFor the latitude of the stop point, latBFor latitude of industry and trade enterprise, latA，latB∈(0，90)。
Further, the distance between the stop point and the receiving unit is calculated to judge whether the distance is beyond the reasonable stop point, and the specific algorithm is as follows:
let the distance between the stopping point and the receiving unit be Dcase5And the decimal point takes 1 bit, the formula is as follows:
Figure BDA0003376291590000051
wherein: long is the longitude of the stop pointPGFor receiving unit longitude, longPGE (0, 180); lat is the latitude of the dwell point, latPGThe latitude, lat, of the unit of receivingPG∈(0，90)。
Further, in the abnormal residence early warning judgment, the screening duration process involves the following calculation:
let the residence time be TStanding stillThen the formula is as follows:
Δt＝tend-tstart
Figure BDA0003376291590000052
Figure BDA0003376291590000053
Ts＝Δt-Th*3600-Tm*60
Tstanding still＝(Th,Tm,Ts)
Wherein: t ish、Tm、TsRespectively, the time, minute, second, T of the residence timeh,TmE is Z and Th≥0,0≤Tm＜60,0≤TsLess than 60; rem is the remainder function, tend、tstartAnd Δ t represent an end time, a start time, and a time difference, respectively.
The invention has the beneficial effects that: the method is based on the calculation rule and the judgment method of the abnormal residence, deep mining analysis is carried out on the residence information of the dangerous chemical transport vehicle, so that the early warning information suitable for the effective abnormal residence high-risk area in the whole road section is formed, and the method has the advantages of comprehensive rule, wide application range, accurate calculation, accurate judgment and the like.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
Fig. 1 is a network topology diagram obtained for a data source according to an embodiment of the present invention: (ii) a
FIG. 2 is a flow chart of the main steps of synthesizing a dwell point.
Fig. 3 is a schematic flow diagram of early warning of high risk areas of frequent dwelling points.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments.
An early warning method for a high risk area where hazardous chemical substance transport vehicles abnormally reside mainly comprises the following steps: (1) acquiring the following raw data; (2) synthesizing a residence point; (3) and carrying out abnormity judgment on the synthesized resident point information.
As shown in fig. 1, the acquired raw data includes:
information of hazardous chemical enterprises: and acquiring information including enterprise names, unified social credit codes, standardization levels, enterprise types, operation states, risk levels, operation duration, legal representatives, occupied areas, industrial and commercial registered addresses, longitude and latitude and operation ranges.
Hazardous chemical substance vehicle waybill information: information including a transportation order number, a transportation vehicle, departure time, an origin, a consignment unit, a destination, a receiving unit, a goods name, and a load weight (t) is acquired.
Vehicle trajectory data: information including a vehicle start time, a vehicle end time, a vehicle real-time speed is obtained.
The industrial and trade enterprises use the information of the hazardous chemical substances: and acquiring information including the Chinese name of the dangerous chemical substance, the English name of the dangerous chemical substance, the CAS number and the UN code.
Basic information of the vehicle: information including license plate number, enterprise to which the vehicle belongs, vehicle specification, vehicle structure, operation state, contact phone number, Vehicle Identification Number (VIN), engine number, and operation range is acquired.
Dwell point exclusion table (white list): and acquiring information including enterprise names, longitude and latitude, information of using hazardous chemicals and types of residence points.
The above data may be obtained from a large data center or other channels to a local database.
As shown in fig. 2, the synthetic residence point mainly includes the following steps:
step S1: and acquiring the GPS data of the last day vehicle from the vehicle track data table.
Step S2: and sequencing the time sequence of generating the track, and judging whether the current vehicle driving position is a residence point or not by combining the speed (the explanation residence with the speed of 0), if so, reserving, and otherwise, excluding.
Step S3: and judging whether the residence point is not in the white list, excluding data of a service area, a gas station, a special parking lot for dangerous chemical vehicles and two sides of a road around the residence point, if not, reserving the residence point, and if so, excluding the residence point.
Step S4: the method comprises the steps of combining the information of dangerous chemicals used by the industrial and trade enterprises and the electronic waybill information of dangerous chemical vehicles, judging whether a residence point is not within 300 meters around the industrial and trade enterprises, eliminating data that the residence point is around the industrial and trade enterprises and dangerous chemicals transported by vehicles are consistent with the dangerous chemicals used by the industrial and trade enterprises, even if the waybill destination of the dangerous chemical vehicles is inconsistent with the residence destination, the dangerous chemical vehicles are not regarded as abnormal residence, and the residence point is not reserved, and then the hazardous chemical vehicles are eliminated.
Step S5: and (4) combining the electronic waybill to judge whether the residence point is not within 300 meters around the receiving unit, if not, reserving, and if not, excluding.
Step S6: and (4) finding out the unit to which the vehicle belongs by combining the basic information of the resident vehicle, and combining and complementing the resident point information.
The algorithm formula involved in the process of synthesizing the residence point is as follows:
(1) and calculating the five-minute driving distance (calculation related to judging the driving speed of the vehicle; time interval unit: hour, distance unit: meter, longitude and latitude unit: degree).
Let the five-minute travel distance be D5MIN(decimal point 1 bit), the required time is T5MIN(decimal point takes 2 bits), then the formula is as follows:
Figure BDA0003376291590000071
Figure BDA0003376291590000072
wherein: long is the current longitude of the vehicle1Longitude of vehicle five minutes ago, long1E (0, 180); lat is the current vehicle latitude, lat1Latitude, lat of a vehicle five minutes ago1E (0, 90); t is the timestamp of the current recording, t1Time stamp recorded five minutes ago, t and t1The units of (A) are seconds.
(2) The start time and the end time of the latitude and longitude are combined, and the staying time (the staying time of each staying point) is calculated.
Let the residence time be TStopThen the formula is as follows:
Δt＝tend-tstart
Figure BDA0003376291590000073
Figure BDA0003376291590000074
Ts＝Δt-Th*3600-Tm*60
Tstop＝(Th,Tm,Ts)
Wherein: t ish、Tm、TsRespectively, the time, minute, second, T of the residence timeh,TmE is Z and Th≥0,0≤Tm＜60,0≤TsLess than 60; rem is the remainder function, tend、tstartAnd Δ t represent the end time, start time, and time difference (the result is converted into seconds), respectively.
(3) And (4) calculating the distance between the stay point and the service area and between the production and operation type hazardous chemical enterprises (for judging whether the stay point is beyond a reasonable stay point).
The distance between the stay point and the service area and between the production and operation type hazardous chemical enterprises is Dcase1(decimal point takes 1 digit), then the formula is as follows:
Figure BDA0003376291590000075
wherein: long is the longitude of the stop pointJDLongitude, long of dangerous chemical product enterprise for service area, production and managementJDE (0, 180); lat is the latitude of the dwell point, latWDLat, and the latitude of the production and operation type hazardous chemical enterpriseWD∈(0，90)。
(4) And (4) calculating the distance between the stop point and the parking lot, the gas station and other dangerous chemical enterprises (for judging whether the distance is beyond the reasonable stop point).
The distance between the stay point and the parking lot, the gas station and other dangerous chemical enterprises is Dcase2(decimal point takes 1 digit), then the formula is as follows:
Figure BDA0003376291590000081
wherein: long is the longitude of the stop pointJDLongitude, long and long for parking lot, gas station, and other dangerous chemical enterprisesJDE (0, 180); lat is the latitude of the dwell point, latWDFor parking lots, gas stations, other dangerous chemical enterprises, latWD∈(0，90)。
(5) The distance between the stop point and other stoppable point positions is calculated (for determining whether the stop point is beyond a reasonable stop point).
Order stop point and itsThe distance between his stop positions is Dcase3(decimal point takes 1 digit), then the formula is as follows:
Figure BDA0003376291590000082
wherein: long is the longitude of the stop pointJDFor other possible stopping point longitude, longJDE (0, 180); lat is the latitude of the dwell point, latWDFor other possible lat pointsWD∈(0，90)。
(6) The distance between the stop point and the trade enterprise is calculated (for judging whether the stop point is beyond the reasonable stop point).
Let the distance between the staying point and the industry and trade enterprises be Dcase4(decimal point takes 1 digit), then the formula is as follows:
Figure BDA0003376291590000083
wherein: longAFor stopping point longitude, longBFor longitude of industry and trade enterprise, longA，longB∈(0，180)；latAFor the latitude of the stop point, latBFor latitude of industry and trade enterprise, latA，latB∈(0，90)。
(7) The stop point and the unit of receipt distance are calculated (to determine if outside of a reasonable stop point).
Let the distance between the stopping point and the receiving unit be Dcase5(decimal point takes 1 digit), then the formula is as follows:
Figure BDA0003376291590000084
wherein: long is the longitude of the stop pointPGFor receiving unit longitude, longPGE (0, 180); lat is the latitude of the dwell point, latPGThe latitude, lat, of the unit of receivingPG∈(0，90)。
As shown in fig. 3, the early warning of the high risk area of the frequent staying point includes the following steps:
step S1: and acquiring the information of the residence point in the last month.
Step S2: and judging whether the duration of the residence point is within 20-150 minutes, if so, retaining the residence point, and if not, excluding the residence point.
Step S3: and judging whether the residence point is not within 300 meters around the white list enterprise, if so, retaining the residence point, and if not, excluding the residence point.
Step S4: and grouping three bits behind the longitude and latitude decimal point of the residence point.
Step S5: and judging that the number of each group of data is more than or equal to 3 (in a certain area, the last month has three times of residence, the three times of residence can be three times of the same vehicle, or a plurality of vehicles of the same vehicle reside, namely the residence time in a certain area is more than or equal to 3 times), if the number is more than or equal to 3, the group of data is reserved, and if the number is less than 3, the group of data is excluded.
Step S6: and determining the suspected abnormal resident area.
Step S7: and manually judging whether the vehicle is abnormally resident or not according to the video information, the vehicle track information, the peripheral enterprises and other information, if so, retaining, and otherwise, eliminating.
Step S8: and early warning is carried out on the high-risk area of the frequent residence point.
Wherein: in the abnormal residence early warning judgment process, the cross-day residence time (the calculation related in the screening time process) is calculated:
let the residence time be TStanding stillThen the formula is as follows:
Δt＝tend-tstart
Figure BDA0003376291590000091
Figure BDA0003376291590000092
Ts＝Δt-Th*3600-Tm*60
Tstanding still＝(Th,Tm,Ts)
Wherein: t ish、Tm、TsRespectively, the time, minute, second, T of the residence timeh,TmE is Z and Th≥0,0≤Tm＜60,0≤TsLess than 60; rem is the remainder function, tend、tstartAnd Δ t represent the end time, start time, and time difference (the result is converted into seconds), respectively.
The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It should be understood by those skilled in the art that the above embodiments do not limit the scope of the present invention in any way, and all technical solutions obtained by using equivalent substitution methods fall within the scope of the present invention.
The parts not involved in the present invention are the same as or can be implemented using the prior art.

Claims (10)

1. An early warning method for a high risk area where hazardous chemical substance transport vehicles abnormally reside is characterized by comprising the following steps:
step one, acquiring the following original data;
step two, synthesizing a residence point: in a jurisdiction area of a fixed range, sequencing track generation time in sequence according to GPS data track information of a dangerous chemical transport vehicle on the day, judging whether a current vehicle driving position is a residence point or not by combining vehicle driving speed, wherein the speed is 0 to indicate a residence state, and acquiring residence point data information;
step three, carrying out abnormity judgment on the synthesized resident point information: screening out the residence points with the duration of 20-150 minutes according to the residence duration of the residence points; combining the white list, judging whether the residence point is in a certain range around the white list, and if so, excluding the residence point; grouping the screened resident points according to three digits after the longitude and latitude decimal point, if the number of each group of data is more than or equal to N, namely in a certain area, residing for N times or more, and when the residing frequency of the certain area is more than the limited frequency, determining that the resident points are suspected to be abnormally residing; and then, artificially and accurately studying and judging suspected abnormal residence points, further judging abnormal behaviors, finally screening abnormal residence point information of dangerous chemical transport vehicles frequently occurring in the fixed area, and early warning the high-risk area.
2. The method for warning the high-risk area where the hazardous chemical substance transportation vehicle abnormally resides according to claim 1, wherein in the first step, the raw data includes: (1) hazardous chemical substance enterprise information; (2) hazardous chemical substance vehicle waybill information; (3) vehicle trajectory data; (4) dangerous chemical information is used by industry and trade enterprises; (5) basic information of the vehicle; (6) a resident point exclusion table, namely a white list, for excluding points which do not need early warning; the above data may be obtained from a large data center or other channels to a local database.
3. The method for early warning of the high-risk area where the hazardous chemical substance transportation vehicle abnormally resides according to claim 1, wherein in the second step, information of a residence point of the hazardous chemical substance transportation vehicle within one month is screened out by the following method:
judging whether the parking points are in a parking exclusion table or not, and excluding the parking points data of the surrounding service area, the gas station, the special parking lot for the hazardous chemical substance vehicle and the two sides of the road;
by combining the information of dangerous chemical substances used by the industry and trade enterprises and the electronic waybill information of dangerous chemical substance vehicles, the data of the resident points which are 300 meters around the industry and trade enterprises and are consistent with the dangerous chemical substances used by the industry and trade enterprises are eliminated, and even if the waybill destination of the dangerous chemical substance vehicles is inconsistent with the resident destination, the situation of abnormal residence is not met;
in combination with the electronic waybill, excluding the data of the resident points within 300 meters around the receiving unit;
and (4) finding out the unit to which the vehicle belongs by combining the basic information of the resident vehicle, and combining and complementing the resident point information.
4. The method for early warning of the high-risk area where the hazardous chemical substance transport vehicle abnormally resides according to claim 1 or 3, wherein in the second step, the vehicle running speed is judged by calculating a five-minute running distance; the specific algorithm is as follows, wherein the time interval unit is as follows: hour, distance unit: rice, latitude and longitude units: degree;
let the five-minute travel distance be D5MINDecimal point takes 1 bit); the required time is T5MINThe decimal point takes 2 bits; the formula is as follows:
Figure FDA0003376291580000021
Figure FDA0003376291580000022
wherein: long is the current longitude of the vehicle1Longitude of vehicle five minutes ago, long1E (0, 180); lat is the current vehicle latitude, lat1Latitude, lat of a vehicle five minutes ago1E (0, 90); t is the timestamp of the current recording, t1Time stamp recorded five minutes ago, t and t1The units of (A) are seconds;
and calculating the residence time of each residence point by combining the starting time and the ending time of the longitude and latitude, wherein the specific algorithm is as follows:
let the residence time be TStopThen the formula is as follows:
Δt＝tend-tstart
Figure FDA0003376291580000023
Figure FDA0003376291580000024
Ts＝Δt-Th*3600-Tm*60
Tstop＝(Th,Tm,Ts)；
Wherein: t ish、Tm、TsRespectively, the time, minute, second, T of the residence timeh,TmE is Z and Th≥0,0≤Tm＜60,0≤TsLess than 60; rem is the remainder function, tend、tstartAnd Δ t represent an end time, a start time, and a time difference, respectively.
5. The method for early warning of the high risk area where the hazardous chemical substance transportation vehicle abnormally resides according to claim 4, wherein the distance between a stopping point and a service area and between production and operation type hazardous chemical substance enterprises is calculated to judge whether the distance is beyond a reasonable stopping point; the specific algorithm is as follows:
the distance between the stay point and the service area and between the production and operation type hazardous chemical enterprises is Dcase1And the decimal point takes 1 bit, the formula is as follows:
Figure FDA0003376291580000025
wherein: long is the longitude of the stop pointJDLongitude, long of dangerous chemical product enterprise for service area, production and managementJDE (0, 180); lat is the latitude of the dwell point, latWDLat, and the latitude of the production and operation type hazardous chemical enterpriseWD∈(0，90)。
6. The method for early warning of the high-risk area where the hazardous chemical substance transportation vehicle abnormally resides according to claim 4, wherein the distance between a stopping point and a parking lot, a gas station and a related hazardous chemical substance-like enterprise is calculated to judge whether the distance is beyond a reasonable stopping point, and a specific algorithm is as follows:
let the distance between the staying point and the parking lot, the gas station and other related dangerous chemical enterprises be Dcase2And the decimal point takes 1 bit, the formula is as follows:
Figure FDA0003376291580000031
wherein: long is the longitude of the stop pointJDLongitude, long and long for parking lot, gas station, and other dangerous chemical enterprisesJDE (0, 180); lat is the latitude of the dwell point, latWDFor parking lot, gas station, other related dangerous chemical enterprisesWD∈(0，90)。
7. The method for early warning of the high-risk area where the hazardous chemical substance transportation vehicle abnormally resides is characterized in that the distance between a stopping point and other stoppable point positions is calculated to judge whether the stopping point is beyond a reasonable stopping point, and a specific algorithm is as follows:
let the distance between the stopping point and other stoppable point positions be Dcase3And the decimal point takes 1 bit, the formula is as follows:
Figure FDA0003376291580000032
wherein: long is the longitude of the stop pointJDFor other possible stopping point longitude, longJDE (0, 180); lat is the latitude of the dwell point, latWDFor other possible lat pointsWD∈(0，90)。
8. The method for warning the high-risk areas where the hazardous chemical substance transportation vehicles abnormally reside according to claim 4, wherein the distance between the stay point and the trade enterprise is calculated to judge whether the stay point is beyond a reasonable stay point, and the specific algorithm is as follows:
let the distance between the staying point and the industry and trade enterprises be Dcase4And the decimal point takes 1 bit, the formula is as follows:
Figure FDA0003376291580000033
wherein: longAFor stopping point longitude, longBFor longitude of industry and trade enterprise, longA，longB∈(0，180)；latAFor the latitude of the stop point, latBFor latitude of industry and trade enterprise, latA，latB∈(0，90)。
9. The method for early warning of the high-risk area where the hazardous chemical substance transportation vehicle abnormally resides according to claim 4, wherein the distance between the stopping point and the receiving unit is calculated to judge whether the distance is beyond the reasonable stopping point, and the specific algorithm is as follows:
let the distance between the stopping point and the receiving unit be Dcase5And the decimal point takes 1 bit, the formula is as follows:
Figure FDA0003376291580000041
wherein: long is the longitude of the stop pointPGFor receiving unit longitude, longPGE (0, 180); lat is the latitude of the dwell point, latPGThe latitude, lat, of the unit of receivingPG∈(0，90)。
10. The early warning method for the high-risk area where the hazardous chemical substance transportation vehicle abnormally resides according to claim 1, wherein in the judgment of the early warning for the abnormal residence, the screening duration process involves the following calculations:
let the residence time be TStanding stillThen the formula is as follows:
Δt＝tend-tstart
Figure FDA0003376291580000042
Figure FDA0003376291580000043
Ts＝Δt-Th*3600-Tm*60
Tstanding still＝(Th,Tm,Ts)
Wherein: t ish、Tm、TsRespectively, the time, minute, second, T of the residence timeh,TmE is Z and Th≥0,0≤Tm＜60,0≤TsLess than 60; rem is the remainder function, tend、tstartAnd Δ t represent an end time, a start time, and a time difference, respectively.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116911511A (en) * 2023-09-14 2023-10-20 中建三局信息科技有限公司 Commercial concrete transportation vehicle real-time management method, device, equipment and storage medium

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116911511A (en) * 2023-09-14 2023-10-20 中建三局信息科技有限公司 Commercial concrete transportation vehicle real-time management method, device, equipment and storage medium
CN116911511B (en) * 2023-09-14 2023-12-12 中建三局信息科技有限公司 Commercial concrete transportation vehicle real-time management method, device, equipment and storage medium

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