CN111028510B - Comprehensive emergency management platform architecture for cloud computing - Google Patents
Comprehensive emergency management platform architecture for cloud computing Download PDFInfo
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Abstract
The invention discloses a comprehensive emergency management platform architecture facing cloud computing, which comprises a cloud end, an acquisition end and an execution end, wherein the acquisition end is used for acquiring various information data, the cloud end is used for storing, searching, retrieving and calculating the various information data, and the execution end is used for executing operation executed by the cloud end according to the result of information data calculation, the delay on the journey of the driver caused by the congestion of the viaduct is effectively avoided.
Description
Technical Field
The invention relates to the technical field of cloud computing, in particular to a comprehensive emergency management platform architecture facing cloud computing.
Background
With the continuous development of modern society, the living standard of people is continuously improved, and with the continuous improvement of the living standard, purchasing a scooter to facilitate the travel of family members becomes the first choice of people, although the automobile facilitates the travel of people, the traffic jam and the environmental deterioration follow the automobile, once a traffic accident occurs, the abnormal traffic jam of roads can be caused, especially on the urban viaduct, the construction of the urban viaduct is to relieve the traffic jam of cities, but once the traffic accident occurs on the viaduct, because the rear vehicle can not timely know information and still enters the viaduct from the overhead intersection, the traffic jam can be further aggravated, and if the vehicle is overloaded, the viaduct can be toppled over under severe conditions, and the life and property of people are seriously threatened, therefore, relieving congestion when an accident occurs to the viaduct becomes a central importance, and the existing solution is that police officers arrive at the scene as soon as possible to dredge the scene traffic, but there is no emergency management platform for emergency treatment of such accident situations, so people urgently need a comprehensive emergency management platform architecture facing cloud computing to solve the above problems.
Disclosure of Invention
The invention aims to provide a comprehensive emergency management platform architecture facing cloud computing, and aims to solve the problems in the prior art.
In order to achieve the purpose, the invention provides the following technical scheme: a comprehensive emergency management platform architecture facing cloud computing comprises a cloud end, a collection end and an execution end;
the output end of the acquisition end is electrically connected with the input end of the cloud end, and the output end of the cloud end is electrically connected with the input end of the execution end;
the acquisition end is used for the collection of each item of information data, including manual upload and equipment collection, the high in the clouds is used for storage, search, retrieval and calculation of each item of information data, the execution end is used for carrying out the result execution operation that the high in the clouds calculated according to the information data.
According to the technical scheme, the cloud end comprises a plurality of cloud computing databases, a plurality of cloud computing servers, a classified storage module, an information searching module and an information calling module;
the plurality of cloud computing servers are respectively connected with the plurality of cloud computing databases in a mesh manner through a classified storage module, an information search module and an information retrieval module;
the cloud computing system comprises a plurality of cloud computing databases, a plurality of classification storage modules, an information search module, an information retrieval module and an information retrieval module, wherein the cloud computing databases are used for storing big data, searching and calling the big data conveniently according to requirements in a later period, the plurality of cloud computing servers are used for analyzing and calculating the big data searched and called in the cloud computing databases according to the requirements, the classification storage modules are used for classifying the data collected by a collection end, adding labels to the classified data, storing the classified data into corresponding cloud computing databases, calling the data conveniently according to the classified labels in the later period, saving the time for calling the data, the information search module is used for searching corresponding data from the cloud computing databases according to the computing requirements of the cloud computing servers, and the information retrieval module is used for calling the data searched by the information search module and supplying the data to the cloud computing servers for computing according to an algorithm.
According to the technical scheme, the acquisition end comprises an information uploading module, an overhead speed measuring module and a traffic flow acquisition module;
the output end of the information uploading module is electrically connected with the input end of the cloud computing server, and the overhead speed measuring module and the traffic flow collecting module are both connected with the cloud computing database through the classified storage module;
the information uploading module is used for uploading alarm time, alarm arriving time of the police officer and on-site accident rating grades by the police officer through a computer and the police officer through a handheld terminal, the accident grades comprise minor accidents, general accidents, major accidents and extra-major accidents, the overhead speed measuring module is used for measuring the running speed of a vehicle on an overhead and uploading the measured data to the cloud computing database for storage through the classified storage module, the overhead speed measuring module marks the detected data, the marked data correspond to the label of the overhead detection module for detecting the data, the label is the position of the overhead detection module corresponding to the overhead, the traffic flow collecting module is used for detecting the traffic flow of the overhead vehicle and the traffic flow of each entrance of the overhead and uploading the detected data to the cloud computing server for storage through the classified storage module, the traffic flow acquisition module marks the detection data, the marked data correspond to a label of the traffic flow detection module for detecting the data, and the label is the position of the overhead inlet corresponding to the traffic flow detection module.
According to the technical scheme, the execution end comprises a warning language display screen and an execution mechanism;
the alarm display screen and the execution mechanism are both connected with the cloud end;
the warning display screen is installed at an entrance of the overhead for reminding a vehicle wishing to run on the overhead to go around the overhead, for example: and when a traffic accident happens in XX meters in front of the viaduct, the viaduct is temporarily jammed on the section, and the detour is recommended. Actuating mechanism installs in overhead entrance equally for seal the overhead entrance, avoid the driver not notice warning display screen's warning poster, lead to the mistake to go up the shelf, influence the stroke.
According to the technical scheme, the actuating mechanism comprises an actuating motor, a rotating rod and a road barrier plate, the output shaft of the actuating motor is connected with the rotating rod through a coupling, and the road barrier plate is arranged on the outer side of the rotating rod.
According to the technical scheme, the information uploading module alarms the accident at the time T1Time T for policeman to arrive at accident scene2And uploading the accident judgment levels, searching the vehicle passing time length processed by the corresponding accident levels in a cloud computing database by using an information searching module according to the accident levels uploaded by an information uploading module by the cloud computing server, wherein the vehicle passing time length is the time length from the arrival of the police at the accident site to the smooth vehicle passing, calling the information searched by the information searching module from the cloud computing database by using an information calling module, and forming an accident processing time length set A ═ A1,A2,A3,…,AnPredicting the current accident handling duration according to the data set of the historical accident handling duration:
wherein the content of the first and second substances,
representing the predicted processing time of the current accident;
the cloud computing server searches an accident alarm time point T by using an information search module1The average running speed V (km/h) of the vehicle measured by the overhead speed measuring module is measured according to the publicFormula (II):
wherein S is1Indicating a distance to an accident site S1Vehicles within kilometers can arrive at the accident site before the vehicle is driven to the accident site after the accident is processed.
According to the technical scheme, since the vehicle is driven on the overhead or the vehicle passes through the overhead entrance and is elevated in the period of time before the police arrives at the accident site to start handling the accident, the number of the vehicles needs to be predicted, and the time length from the accident occurrence time to the accident start handling time is (T)2-T1) The cloud computing server searches a distance accident site S from the cloud computing database when an accident occurs through the information searching module1The traffic flow of traffic flow collection module near kilometers, the information calling module calls traffic flow M (vehicles/hour), according to the formula:
Y1＝(T2-T1)*M；
wherein, Y1Indicating the distance from the accident site S1Kilometer (T)2-T1) The sum of vehicles entering the viaduct in a time period;
the cloud computing server searches a distance accident place S from the cloud computing database when an accident occurs through the information searching module1Traffic flow set N ═ N { N } detected by traffic flow detection modules of all overhead inlets within kilometers1,N2,N3,…Nm}；
According to the formula:
wherein, Y2Indicating the distance from the accident site S1Kilometers in (T)2-T1) A vehicle summation over an overpass at an overpass entrance during a time period;
according to the formula:
Y＝Y1+Y2；
wherein Y represents (T)2-T1) In the time period, the number of vehicles jammed on the overpass due to the accident is increased.
According to the technical scheme, the cloud computing server needs to calculate the total length of the jammed vehicles on the viaduct;
according to the formula:
wherein S is2The method is characterized in that the congestion length on the viaduct before the road is dredged is shown, L is the length of a road occupied by one vehicle when the vehicles are congested, and a is the number of lanes of the road where the viaduct is located.
According to the technical scheme, the cloud computing server needs to calculate the safe distance which can be jammed due to accident sites;
according to the formula:
Sgeneral assembly＝S1+S2；
Wherein S isGeneral assemblyIndicating the distance from the accident site SGeneral assemblyVehicles within kilometers of distance are congested on viaducts due to traffic accidents.
According to the technical scheme, the cloud computing server controls the distance S from the accident site according to the computing resultGeneral assemblyAnd an actuating mechanism of the elevated entrance within kilometers executes operation to seal the elevated entrance.
Compared with the prior art, the invention has the beneficial effects that: the method comprises the steps of utilizing an information search module and an information retrieval module to retrieve historical data from a cloud computing database, utilizing data uploaded by an information uploading module, calculating the traffic jam-avoiding safe distance according to a formula, effectively lightening the aggravation of traffic jam conditions of the viaduct due to traffic accidents, avoiding potential safety hazards of high-density traffic jam on the viaduct body, providing guidance for a driver about to get on the viaduct, effectively avoiding delay on the journey of the driver due to the traffic jam of the viaduct, utilizing the calculation of the formula, minimizing the traffic jam condition of the viaduct, and reducing the traffic jam caused by the vehicle getting on the viaduct as far as possible.
Drawings
Fig. 1 is a schematic diagram of a module composition of a cloud computing-oriented comprehensive emergency management platform architecture according to the present invention;
fig. 2 is a schematic diagram of module connection of a cloud computing-oriented comprehensive emergency management platform architecture according to the present invention;
fig. 3 is a schematic diagram of viaduct accident analysis of a cloud-computing-oriented comprehensive emergency management platform architecture according to the present invention;
fig. 4 is an installation schematic diagram of an execution mechanism of a cloud computing-oriented comprehensive emergency management platform architecture according to the present invention.
1. An actuator motor; 2. rotating the rod; 3. a road barricade; 4. an overhead entrance; 5. a receiving groove; 6. a viaduct; 7. the place of accident.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1 to 4, a comprehensive emergency management platform architecture for cloud computing includes a cloud end, an acquisition end and an execution end;
the output end of the acquisition end is electrically connected with the input end of the cloud end, and the output end of the cloud end is electrically connected with the input end of the execution end;
the acquisition end is used for the collection of each item of information data, including manual upload and equipment collection, and the high in the clouds is used for the storage, search, transfer and calculation of each item of information data, and the execution end is used for carrying out the result execution operation that the high in the clouds calculated according to the information data.
The cloud end comprises a plurality of cloud computing databases, a plurality of cloud computing servers, a classified storage module, an information searching module and an information calling module;
the cloud computing servers are respectively connected with the cloud computing databases in a mesh manner through the classified storage module, the information search module and the information retrieval module;
the cloud computing databases are used for storing big data and facilitating searching and calling according to requirements in a later period, the cloud computing servers are used for analyzing and calculating the big data searched and called in the cloud computing databases according to requirements, the classification storage module is used for classifying the data collected by the collection end, labels are added to the classified data, the classified data are stored into the corresponding cloud computing databases and are convenient to call according to the classified labels in the later period, the time for calling the data is saved, the information searching module is used for searching corresponding data from the cloud computing databases according to the computing requirements of the cloud computing servers, and the information calling module is used for calling the data searched by the information searching module and supplying the data to the cloud computing servers for computing according to an algorithm.
The acquisition end comprises an information uploading module, an overhead speed measurement module and a traffic flow acquisition module;
the output end of the information uploading module is electrically connected with the input end of the cloud computing server, and the overhead speed measuring module and the traffic flow collecting module are both connected with the cloud computing database through the classified storage module;
the information uploading module is used for uploading alarm time, alarm arriving time and on-site accident rating grades by a police station through a computer and an alarm police man through a handheld terminal, the accident grades comprise minor accidents, general accidents, major accidents and extra-major accidents, the overhead speed measuring module is used for measuring the running speed of a vehicle on an overhead and uploading the measured data to a cloud computing database through a classification storage module for storage, the overhead speed measuring module marks the detected data, the marked data correspond to a label of an overhead detection module for detecting the data, the label is the position of the overhead detection module corresponding to the overhead, the traffic flow collecting module is used for detecting the traffic flow of the overhead and the traffic flow of each entrance of the overhead and uploading the detected data to a cloud computing server through the classification storage module for storage, and the traffic flow collecting module marks the detected data, the marking data corresponds to a label where a traffic flow detection module for detecting the data is located, and the label is the position of an overhead entrance corresponding to the traffic flow detection module.
The execution end comprises a warning language display screen and an execution mechanism;
the alarm display screen and the execution mechanism are both connected with the cloud;
a warning message display screen is installed at the entrance of the overhead for warning a vehicle wishing to travel on the overhead to bypass the overhead, for example: when a traffic accident happens in XX meters in front of the viaduct 6, the viaduct 6 is temporarily jammed at the section, and the detour is recommended. Actuating mechanism installs at overhead entrance equally for seal overhead entrance, avoid the driver not notice warning display screen's warning poster, lead to the mistake to go up the shelf, influence the stroke.
Actuating mechanism includes actuating motor 1, dwang 2 and obstacle board 3, through coupling joint between actuating motor 1's the output shaft and the dwang 2, the 2 outside of dwang is provided with obstacle board 3, and actuating mechanism installs in overhead entry 4 positions department, and overhead entry 4 positions department has still seted up and has accomodate the groove for accomodate obstacle board 3, make the normal bridge crane that can not influence the vehicle.
Alarm time T of information uploading module for accident occurrence1Time T for policeman to arrive at accident scene2And uploading the accident judgment levels, searching the vehicle passing time length processed by the corresponding accident levels in a cloud computing database by using an information searching module according to the accident levels uploaded by an information uploading module by a cloud computing server, wherein the vehicle passing time length is the time length from the arrival of an alarm at an accident site to the smooth vehicle passing, calling the information searched by the information searching module from the cloud computing database by using an information calling module, and forming an accident processing time length set A { A ═ A1,A2,A3,…,AnTreatment of accidents according to historyPredicting the current accident handling time length by the time length data set:
wherein the content of the first and second substances,
representing the predicted processing time of the current accident;
cloud computing server searches accident alarm time point T by using information search module1And then, the average vehicle speed V (km/h) measured by the overhead speed measuring module is measured according to a formula:
wherein S is1Indicating a distance to an accident site S1The vehicles within kilometers arrive at the accident site 7 before the traffic is completed after the accident is processed.
Since a vehicle is already running on the overhead or a vehicle passes through the overhead entrance and is elevated during the period of time before the police officer arrives at the accident site to start the accident treatment, the number of the vehicles in the part needs to be predicted, and the time period from the accident occurrence to the accident treatment is (T)2-T1) The cloud computing server searches the distance accident site S from the cloud computing database when the accident occurs through the information searching module1The traffic flow that the traffic flow collection module near kilometer gathered, information transfer module transfer traffic flow M (vehicle/hour), according to the formula:
Y1＝(T2-T1)*M；
wherein, Y1Indicating a distance to the accident site 7S1Kilometer (T)2-T1) The sum of vehicles entering the viaduct 6 in a time period;
the cloud computing server searches the distance accident site S from the cloud computing database when the accident occurs through the information searching module1Traffic flow set N ═ N { N } detected by traffic flow detection modules of all overhead inlets within kilometers1,N2,N3,…Nm}；
According to the formula:
wherein, Y2Indicating a distance to the accident site 7S1Kilometers in (T)2-T1) The sum of vehicles passing through the viaduct 6 at the entrance of the viaduct in the time zone;
according to the formula:
Y＝Y1+Y2；
wherein Y represents (T)2-T1) During the time period, the sum of the vehicles jammed on the overpass 6 due to the accident may be obtained.
The cloud computing server needs to calculate the total length of the jammed vehicles on the viaduct 6;
according to the formula:
wherein S is2Indicating the congestion length on the viaduct 6 before the road is dredged, L indicating the length of the road occupied by one vehicle when the vehicle is congested, and a indicating the number of lanes on the road on which the viaduct is located.
The cloud computing server needs to calculate the safe distance which can cause congestion due to the accident site 7;
according to the formula:
Sgeneral assembly＝S1+S2；
Wherein S isGeneral assemblyIndicating a distance to the accident site 7SGeneral assemblyVehicles within a kilometer distance are congested on the viaduct 6 due to traffic accidents.
The cloud computing server controls the distance 7S from the accident site according to the computing resultGeneral assemblyActuator operation of elevated entrance in kilometerThen, the viaduct entrance is closed, calculation is performed again using the formula as time advances, and the closed viaduct entrance 4 farthest from the accident site 7 is gradually opened to allow the vehicle to enter the viaduct 6.
The first embodiment is as follows:
alarm time T of information uploading module for accident occurrence19:00, time T of arrival of policeman at accident site2The method comprises the following steps that (9: 10) and a slight accident grade are uploaded, a cloud computing server searches vehicle passing time for slight accident grade processing in a cloud computing database by using an information searching module according to the slight accident grade uploaded by an information uploading module, an information calling module calls information searched by the information searching module out of the cloud computing database to form an accident processing time set A, wherein the accident processing time set A is {15,18,21, …,16}, and the current accident processing time is predicted according to a data set of historical accident processing time:
cloud computing server searches accident alarm time point T by using information search module1The average vehicle speed V measured by the overhead speed measurement module when the vehicle is running is 9:00, 65(km/h), according to the formula:
wherein S is115.17km means that all vehicles within 15.17km from the accident site arrive at the accident site 7 before the traffic is completed after the accident is processed.
This is required because there is already a vehicle on the overhead or a vehicle has already been on the overhead through the overhead entrance during the period of time before the police officer arrives at the accident site to begin the incident treatmentThe number of the vehicles in the part is predicted, and the time length from the accident occurrence time to the accident starting time is (T)2-T1) The cloud computing server searches traffic flow collected by a traffic flow collection module which is 15.17 kilometers away from an accident site when an accident occurs from a cloud computing database through an information search module, and an information calling module calls the traffic flow M1050 (vehicles/hour), according to a formula:
wherein, Y1175 indicates the distance 7S from the accident site115.17km, (T)2-T1) The sum of vehicles entering the viaduct 6 in a 10min time period;
the cloud computing server searches a traffic flow set N which is {310,305,295} detected by traffic flow detection modules of all overhead entrances within 15.17 kilometers away from an accident site when the accident occurs from a cloud computing database through an information search module;
according to the formula:
wherein, Y2152 represent distance accident site 7S115.17km in (T)2-T1) The sum of vehicles passing through the viaduct 6 at the entrance of the viaduct in a 10min period;
according to the formula:
Y＝Y1+Y2175+152 327 (vehicle);
wherein Y is 327 denotes (T)2-T1) The total number of vehicles jammed on the overpass 6 due to an accident is 10 min.
The cloud computing server needs to calculate the total length of the jammed vehicles on the viaduct 6;
according to the formula:
wherein S is21308m represents the congestion length on the viaduct 6 before the road is dredged, 8m represents the length of the road occupied by one vehicle when the vehicle is congested, and 2 represents the number of lanes on the road on which the viaduct is located.
The cloud computing server needs to calculate the safe distance which can cause congestion due to the accident site 7;
according to the formula:
Sgeneral assembly＝S1+S2＝15.17+1.308＝16.478(km)；
Wherein S isGeneral assembly16.478km indicates the distance 7S from the accident siteGeneral assemblyVehicles within 16.478km are congested on the viaduct 6 due to traffic accidents.
The cloud computing server controls the distance 7S from the accident site according to the computing resultGeneral assemblyThe actuator of the overhead entrance within 16.478km performs the operation of closing the overhead entrance, calculating again using the formula as time advances, gradually opening the closed overhead entrance 4 farthest from the accident site 7, and allowing the vehicle to enter the viaduct 6.
Example two:
alarm time T of information uploading module for accident occurrence110:30, time T of arrival of policeman at accident scene2The method comprises the following steps that (10: 45) and a common accident grade are uploaded, a cloud computing server searches vehicle passing time for common accident grade processing in a cloud computing database by using an information searching module according to the common accident grade uploaded by an information uploading module, an information calling module calls information searched by the information searching module out of the cloud computing database to form an accident processing time set A {35,38,32, …,36}, and the current accident processing time is predicted according to a data set of historical accident processing time:
wherein the content of the first and second substances,
representing the predicted processing time of the current accident;
cloud computing server searches accident alarm time point T by using information search module1When the speed is 10:30, the average speed V measured by the overhead speed measuring module is 65(km/h), according to the formula:
wherein S is133.58km indicates the distance S from the accident site1Vehicles within 33.58km arrive at the accident site 7 before the traffic is completed after the accident has been dealt with.
Since a vehicle is already running on the overhead or a vehicle passes through the overhead entrance and is elevated during the period of time before the police officer arrives at the accident site to start the accident treatment, the number of the vehicles in the part needs to be predicted, and the time period from the accident occurrence to the accident treatment is (T)2-T1) 15min, the cloud computing server searches the distance accident site S from the cloud computing database when the accident occurs through the information searching module1The information calling module calls the traffic flow M of 625 (vehicles/hour) according to the traffic flow collected by the traffic flow collecting module near 33.58 kilometers, and according to the formula:
wherein, Y1156 represent distance accident site 7S133.58km, (T)2-T1) The sum of vehicles entering the viaduct 6 in a 15min time period;
the cloud computing server searches the distance accident site S from the cloud computing database when the accident occurs through the information searching module1Traffic flow detected by traffic flow detection modules of all overhead inlets within 33.58 kilometersSet N ═ {156,162,145,135,143 };
according to the formula:
wherein, Y2185 shows the distance from the accident site 7S133.58km in (T)2-T1) The sum of vehicles passing through the viaduct 6 at the entrance of the viaduct in a 15min period;
according to the formula:
Y＝Y1+Y2156+ 185-343 (vehicle);
wherein Y is 343 (T)2-T1) The total number of vehicles jammed on the overpass 6 due to an accident is 15 min.
The cloud computing server needs to calculate the total length of the jammed vehicles on the viaduct 6;
according to the formula:
wherein S is2915m represents the congestion length of the viaduct 6 before the road is dredged, L8 m represents the length of the road occupied by one vehicle when the vehicles are congested, and a 3 represents the number of lanes of the road on which the viaduct is located.
The cloud computing server needs to calculate the safe distance which can cause congestion due to the accident site 7;
according to the formula:
Sgeneral assembly＝S1+S2＝33.58+0.915＝34.495(km)；
Wherein S isGeneral assembly34.495km indicates the distance 7S from the accident siteGeneral assemblyVehicles within 34.495km are congested on the viaduct 6 due to traffic accidents.
The cloud computing server controls the distance 7S from the accident site according to the computing resultGeneral assemblyActuating mechanism for overhead entrance in kilometerAnd (4) performing operation, sealing the elevated entrance, calculating by using the formula again along with the advance of time, gradually opening the closed elevated entrance 4 farthest from the accident site 7, and allowing the vehicle to enter the viaduct 6.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (3)
1. The utility model provides a comprehensive emergency management platform framework towards cloud calculates which characterized in that: the comprehensive emergency management platform architecture comprises a cloud end, an acquisition end and an execution end;
the output end of the acquisition end is electrically connected with the input end of the cloud end, and the output end of the cloud end is electrically connected with the input end of the execution end;
the acquisition end is used for acquiring various information data, including manual uploading and equipment acquisition, the cloud end is used for storing, searching, calling and calculating the various information data, and the execution end is used for executing operation executed by the cloud end according to the result of the information data calculation;
the cloud end comprises a plurality of cloud computing databases, a plurality of cloud computing servers, a classified storage module, an information searching module and an information calling module;
the plurality of cloud computing servers are respectively connected with the plurality of cloud computing databases in a mesh manner through a classified storage module, an information search module and an information retrieval module;
the cloud computing databases are used for storing big data, the cloud computing servers are used for analyzing and calculating the big data searched and called in the cloud computing databases according to requirements, the classification storage module is used for classifying the data collected by the collection end, adding labels to the classified data and storing the classified data into the corresponding cloud computing databases, the information search module is used for searching corresponding data from the cloud computing databases according to the computing requirements of the cloud computing servers, and the information calling module is used for calling the data searched by the information search module and supplying the data to the cloud computing servers for calculation according to the algorithm;
the acquisition terminal comprises an information uploading module, an overhead speed measurement module and a traffic flow acquisition module;
the output end of the information uploading module is electrically connected with the input end of the cloud computing server, and the overhead speed measuring module and the traffic flow collecting module are both connected with the cloud computing database through the classified storage module;
the system comprises an information uploading module, an overhead speed measuring module, a classified storage module, a traffic flow collecting module, a cloud computing server and a traffic flow monitoring module, wherein the information uploading module is used for uploading alarm time, the time of arrival of an alarm police officer and the grade of field accidents by a police station through a computer and the handheld terminal, the overhead speed measuring module is used for measuring the running speed of an overhead vehicle and uploading measured data to the cloud computing database for storage through the classified storage module, and the traffic flow collecting module is used for detecting the flow of the overhead vehicle and the traffic flow of each entrance of the overhead vehicle and uploading the detected data to the cloud computing server for storage through the classified storage module;
the information uploading module alarms the accident at a time T1Time T for policeman to arrive at accident scene2And uploading the accident judgment levels, searching the traffic time for corresponding accident level processing in a cloud computing database by using an information searching module according to the accident levels uploaded by an information uploading module by the cloud computing server, calling the information searched by the information searching module from the cloud computing database by using an information calling module, and forming an accident processing time set A ═ A1,A2,A3,…,AnPredicting the current accident handling duration according to the data set of the historical accident handling duration:
wherein the content of the first and second substances,
representing the predicted processing time of the current accident;
the cloud computing server searches an accident alarm time point T by using an information search module1And then, the average vehicle speed V (km/h) measured by the overhead speed measuring module during the vehicle running is calculated according to a formula:
wherein S is1Indicating a distance to an accident site S1Vehicles within kilometers can arrive at the accident site before the vehicle is driven to the accident site after the accident is processed;
the time length from the accident occurrence time to the accident treatment starting time is (T)2-T1) The cloud computing server searches a distance accident site S from the cloud computing database when an accident occurs through the information searching module1The traffic flow of traffic flow collection module near kilometers, the information calling module calls traffic flow M (vehicles/hour), according to the formula:
Y1＝(T2-T1)*M；
wherein, Y1Indicating the distance from the accident site S1Kilometer (T)2-T1) The sum of vehicles entering the viaduct in a time period;
the cloud computing server searches a distance accident place S from the cloud computing database when an accident occurs through the information searching module1Traffic flow set N ═ N { N } detected by traffic flow detection modules of all overhead inlets within kilometers1,N2,N3,…Nm}；
According to the formula:
wherein, Y2Indicating the distance from the accident site S1Kilometers in (T)2-T1) A vehicle summation over an overpass at an overpass entrance during a time period;
according to the formula:
Y＝Y1+Y2；
wherein Y represents (T)2-T1) In the time period, the sum of vehicles jammed on the viaduct due to accidents is obtained;
the cloud computing server needs to calculate the total length of the jammed vehicles on the viaduct;
according to the formula:
wherein S is2The method comprises the steps of showing congestion length on an viaduct before a road is dredged, showing the length of a road occupied by a vehicle when the vehicle is congested, and showing the number of lanes of the road where the viaduct is located;
the cloud computing server needs to calculate the safe distance which can cause congestion due to an accident site;
according to the formula:
Sgeneral assembly＝S1+S2；
Wherein S isGeneral assemblyIndicating the distance from the accident site SGeneral assemblyVehicles within kilometers of distance can generate congestion on the viaduct due to traffic accidents;
the cloud computing server controls the distance S from the accident site according to the computing resultGeneral assemblyAnd an actuating mechanism of the elevated entrance within kilometers executes operation to seal the elevated entrance.
2. The cloud-computing-oriented comprehensive emergency management platform architecture according to claim 1, wherein: the execution end comprises a warning language display screen and an execution mechanism;
the alarm display screen and the execution mechanism are both connected with the cloud end;
the alarm display screen is arranged at the entrance of the elevated frame and used for reminding a vehicle which wants to run on the elevated frame to go around the elevated frame, and the actuating mechanism is also arranged at the entrance of the elevated frame and used for sealing the entrance of the elevated frame.
3. The cloud-computing-oriented comprehensive emergency management platform architecture according to claim 2, wherein: actuating mechanism includes actuating motor (1), dwang (2) and roadblock board (3), through the coupling joint between output shaft and dwang (2) of actuating motor (1), dwang (2) outside is provided with roadblock board (3).
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