CN112927540A - Data sensing sharing system and method based on block chain - Google Patents
Data sensing sharing system and method based on block chain Download PDFInfo
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Abstract
The invention discloses a data perception sharing system and a method thereof based on a block chain, comprising the following steps: the device comprises a data perception acquisition unit, a video sharing unit, a block chain, a position relation judgment unit, a congested vehicle number prediction unit, an image identification unit, a congestion reason judgment unit, a GPS positioning unit, a driving suggestion unit and a rescue processing unit, wherein when traffic congestion occurs, the data perception acquisition unit senses and acquires the positions of surrounding congested vehicles by using a sensor of a mobile phone in the vehicle and a WIFI signal detector, judges the position relation between the congested vehicles according to the acquired data to find the vehicles at a congestion source, and shares a site video shot by the mobile phone sensor in the vehicle at the congestion source through the block chain, so that a rescue center is helped to locate the source vehicles when an accident occurs and timely arrive at the site for rescue, and the situation of the vehicles which do not reach the congested road section is helped to know and timely change a route.
Description
Technical Field
The invention relates to the technical field of block chains, in particular to a data perception sharing system and a data perception sharing method based on the block chains.
Background
The data-aware sharing technology refers to a technology that describes data by describing some characteristic information of the data, and by the data-aware sharing technology, the rules can be automatically sensed and shared, the most suitable rules are recommended for each group of data, thereby improving the efficiency of event processing, finding data of block chains and other types for data association through the data perception sharing technology to make up the cognitive deficiency, the data perception sharing technology is also widely applied to intelligent transportation, when traffic jam occurs, the number of jammed vehicles can be perceived and predicted by the aid of the number of clients detected by the in-vehicle mobile phone sensor and the WIFI signal detector to find jammed source vehicles, videos shot by the source vehicles are transmitted to a block chain for sharing, the vehicles which do not reach jammed road sections can be helped to know conditions and timely change routes, and the rescue center can also position the source vehicles and timely catch up to the site for rescue when the traffic accident occurs.
Therefore, a need exists for a data-aware sharing system based on block chains and a method thereof to solve the above problems.
Disclosure of Invention
The present invention is directed to a data sensing sharing system and method based on a block chain, so as to solve the problems in the background art.
In order to solve the technical problems, the invention provides the following technical scheme: a data perception sharing system based on a block chain is characterized in that: the method comprises the following steps: the system comprises a data perception acquisition unit, a video sharing unit, a block chain, a position relation judgment unit, a congested vehicle number prediction unit, an image identification unit, a congestion reason judgment unit, a GPS positioning unit, a driving suggestion unit and a rescue processing unit;
the input end of the block chain is connected with the output ends of the data perception acquisition unit and the video sharing unit, the output end of the block chain is connected with the input ends of the position relation judging unit and the image identification unit, the output end of the position relation judging unit is connected with the input end of the congestion vehicle number predicting unit, the output end of the congestion vehicle number predicting unit is connected with the input end of the video sharing unit, the output end of the image identification unit is connected with the input end of the congestion reason judging unit, the output end of the congestion reason judging unit is connected with the input end of the GPS positioning unit, and the output end of the GPS positioning unit is connected with the input ends of the rescue processing unit and the driving suggestion unit;
the data sensing and collecting unit is used for sensing and collecting the position data of the peripheral blocked vehicles by using a sensor of a mobile phone in the vehicle when traffic jam occurs, the position relation judging unit is used for judging the position relation among all the blocked vehicles according to the collected data so as to find the vehicle at the source of the jam, the congested vehicle number prediction unit is used for predicting and counting the number of congested vehicles according to the sensed data, the video sharing unit is used for sharing the site video shot by the mobile phone sensor in the vehicle at the source of congestion through the block chain, the image identification unit and the congestion cause judgment unit are used for carrying out image identification on the shared video and judging the direct cause of congestion, the GPS positioning unit is used for positioning the accident scene according to the video content under the condition of traffic accident, the rescue processing unit is used for informing the rescue center to carry out rescue after confirming the accident position.
Furthermore, when traffic jam occurs, the data perception collection unit is provided with a 3D acceleration sensor and a WIFI signal detector, the 3D acceleration sensor is used for perceiving other jammed vehicles around each vehicle, the WIFI signal detector is used for detecting the number of clients to confirm the position relation between the vehicles, the number of the vehicle jams is predicted by combining the 3D acceleration sensor and the WIFI signal detector, the vehicle at the jam source is found, videos shot by the vehicle at the jam source position are shared to other vehicles and a rescue center through a block chain, videos shot by the source vehicle are shared to the block chain, the direct reason of the occurrence of the jam can be judged, and the speed of processing the jam condition is increased.
Furthermore, the video shot by a vehicle at the source of congestion is subjected to freeze identification by the image identification unit, the identification result is transmitted to the congestion cause judgment unit, the congestion cause judgment unit judges the cause of traffic congestion according to the identification result, if the congestion cause is the rapid increase of the vehicle caused by small road volume rate, the vehicle which does not reach the congestion site is suggested to change the route in time by the driving suggestion unit, and the driver in congestion is helped to know the congestion cause and congestion situation in time by the video shared by the block chain.
Furthermore, if the congestion is caused by a traffic accident, the position of the accident scene is confirmed through the GPS positioning unit, the positioning data is transmitted to the rescue processing unit, the rescue center confirms the position of the accident scene through the rescue processing unit, the video of the accident scene is checked through the block chain to judge the emergency degree of the rescue, the rescue is implemented, the video shared by the block chain is beneficial for the rescue center to know the emergency degree of the accident in advance, and the user can rapidly go to the scene for rescue according to the positioning.
A data perception sharing method based on a block chain is characterized in that: the method comprises the following steps:
s1: when traffic jam occurs, the 3D acceleration sensor and the WIFI signal are used for detecting the relation between the jammed vehicles and the positions around the jammed vehicles;
s2: predicting the number of vehicle congestion, searching congestion source vehicles, and shooting videos and sharing by using the source vehicles;
s3: carrying out data acquisition perception and image recognition on the shared video, and judging the reason of congestion;
s4: if a traffic accident occurs, positioning a vehicle at a congestion source and transmitting the vehicle to a rescue center to wait for rescue;
s5: if no traffic accident happens, suggesting the vehicles which do not arrive to change the route in time.
Further, in step S1: when traffic jam occurs, the total length of a jammed road section is a by using a data sensing and collecting unit, the road width of the jammed road section is D, other jammed vehicles around each vehicle are sensed by using a 3D acceleration sensor, and the vehicle position of the jammed road section is detected by using a WIFI signal detector: the method comprises the following steps of calculating a WIFI signal detection range S of each vehicle according to the following formula by taking the position of a congested vehicle as a center and the road width d of a congested road section as a detection diameter:
the clients with the same ID name are excluded, and the number set of the clients with different ID names is detected to be A ═ A { A } through a WIFI signal detector of each vehicle1，A2，...，AnAnd establishing a two-dimensional coordinate system by taking the center of the tail end of the congested road section as an origin, and determining that the position coordinate set of the vehicle on the congested road section is (x, y) { (x)1，y1)，(x2，y2)，...，(xn，yn) And n represents the total number of the jammed vehicles, vehicle position coordinate data are transmitted to a position relation judgment unit through a block chain, and a detection range S is defined by taking the road width of a jammed road section as a WIFI detection diameter, so that the number of the vehicles on the jammed road section is accurately found and the positions of the vehicles are determined, the traffic jam reasons can be judged by rapidly finding a jam source vehicle, the number of clients with different ID names is the number of the jammed vehicles, and the defined detection range S is the most reasonable, so that the accuracy of predicting the number of the jammed vehicles can be improved, and the consumption of a WIFI signal detector is also saved.
Further, in step S2: judging the position relationship between the jammed vehicles by using the position relationship judging unit: the method comprises the steps that vehicles with the same vertical coordinate are classified into the same lane, a data sensing acquisition unit acquires the number of lanes in a congested road section as j, if the difference of the horizontal coordinates of the positions of the vehicles is within d/j, the corresponding vehicles are judged to be in adjacent lanes, the position relation data of the vehicles are transmitted to a congested vehicle number prediction unit, and the congested vehicle number prediction unit is used for predicting the number set of the congested vehicles in each lane to be m ═ m1，m2，...，mjWhere, c represents the total number of congested road section lanes,
and finding the vehicle with the minimum longitudinal coordinate of each lane as the congestion source vehicle of each lane, shooting a video by using the source vehicle and sharing through the block chain.
Further, in step S3: the method comprises the steps of utilizing an image recognition unit to recognize a congestion site video shot by a source vehicle, transmitting a recognition result to a congestion cause judgment unit, and utilizing the congestion cause judgment unit to analyze traffic congestion conditions and judge causes.
Further, in step S4: if it occursThe reason of the traffic jam is a traffic accident, the judgment result is transmitted to the GPS positioning unit, and the GPS positioning unit is utilized to position the vehicle coordinate of the jam source as (x)Get up，yGet up) And transmitting the positioning to a rescue processing unit, and waiting for a rescue center to wait for rescue if no traffic accident occurs.
Further, in step S5: if no traffic accident occurs, reminding that the congestion condition exists in front of the vehicle which does not reach the congestion place: confirming the position coordinate of the tail end of the jammed road section as (x) by utilizing a GPS positioning unitFinal (a Chinese character of 'gan')，yFinal (a Chinese character of 'gan')) The vehicle position coordinate set of the unreachable road section is determined to be (x ', y') { (x)1’，y1’)，(x2’，y2’)，...，(xi’，yi') }, wherein i represents the number of vehicles which do not reach the congested section, and the distance D from the vehicle which does not reach the congested section to the tail end of the congested section is calculated according to the following formula:
the data perception acquisition unit is used for acquiring a turnable intersection set in the distance route as A ═ A1，A2，...，ANAnd N represents the number of intersections which can turn, intersection position information is shared through a block chain, vehicles which do not reach a congestion place are informed to turn left and right at proper intersections in advance on the premise that the vehicles can reach a destination, the positions of the tail ends of the congestion road sections and the coordinates of the positions of the vehicles which do not reach the congestion road sections are confirmed by a GPS positioning unit so as to obtain the distance D from the vehicles which do not reach the congestion road sections to the tail ends of the congestion road sections, the purpose is to confirm the intersection position information which can turn in the routes which correspond to the congestion road sections and correspond to different vehicles, and the intersection position information is shared through the block chain, so that a driver can change a driving route timely according to the information, the driving time is saved, and the severity of traffic congestion is relieved to a certain extent.
Compared with the prior art, the invention has the following beneficial effects:
1. when traffic jam occurs, the data sensing and collecting unit is used for collecting the total length of a jammed road section and the road width of the jammed road section, the 3D acceleration sensor is used for sensing other jammed vehicles around each vehicle, and the WIFI signal detector is used for confirming the number and the position relation of the jammed vehicles: the position of the jammed vehicle is taken as the center, the road width of the jammed road section is taken as the detection diameter to obtain the WIFI signal detection range S of each vehicle, the number of clients with different ID names is detected by a WIFI signal detector of each vehicle to confirm the total number and the position relation of the congested vehicles, a position relation judging unit is used for judging whether the congested vehicles are in adjacent lanes or not, the vehicles with the smallest longitudinal coordinates of the lanes are found to be congestion source vehicles of the lanes, the source vehicles are used for shooting videos and are shared through a block chain, the WIFI signal detector sets a proper detection range to facilitate more rapidly confirming the number and the position relation of the congested vehicles and more accurately finding the congestion source vehicles of different lanes, the source vehicle shooting videos are shared to the block chain to facilitate judging the direct reason of congestion, and the speed of processing congestion conditions is increased;
2. the method analyzes the traffic jam condition through the jam reason judging unit, judges the reason of the jam, positions the coordinates of a jam source vehicle by utilizing the GPS positioning unit if the reason of the traffic jam is a traffic accident, transmits the positioning to the rescue processing unit, and the rescue center can confirm the emergency degree of the accident in time by checking the video shared to the block chain and can rapidly go to the accident site for rescue processing through the received positioning; if no traffic accident occurs, the driver is reminded that the congestion situation exists in front of the vehicle which does not arrive at the congestion place, the driver is helped to find the intersection which can turn before the vehicle reaches the congestion road section on the premise that the driver can arrive at the destination, the route can be changed in time, the congestion reason is analyzed through the video shared on the block chain, the condition of the vehicle which does not arrive at the congestion road section can be helped to be known, the route can be changed in time, and the rescue center can also position the source vehicle and timely drive the source vehicle to the site for rescue when the traffic accident occurs.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a system structure diagram of a block chain-based data-aware sharing system and method thereof according to the present invention;
FIG. 2 is a block chain based data-aware sharing system and method steps diagram of the present invention;
fig. 3 is a block link point schematic.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Referring to fig. 1-3, the present invention provides the following technical solutions: a data perception sharing system based on a block chain is characterized in that: the method comprises the following steps: the system comprises a data perception acquisition unit, a video sharing unit, a block chain, a position relation judgment unit, a congested vehicle number prediction unit, an image identification unit, a congestion reason judgment unit, a GPS positioning unit, a driving suggestion unit and a rescue processing unit;
the input end of the block chain is connected with the output ends of the data sensing acquisition unit and the video sharing unit, the output end of the block chain is connected with the input ends of the position relation judging unit and the image identifying unit, the output end of the position relation judging unit is connected with the input end of the congestion vehicle number predicting unit, the output end of the congestion vehicle number predicting unit is connected with the input end of the video sharing unit, the output end of the image identifying unit is connected with the input end of the congestion reason judging unit, the output end of the congestion reason judging unit is connected with the input end of the GPS positioning unit, and the output end of the GPS positioning unit is connected with the input ends of the rescue processing unit;
the data perception collection unit is used for perceiving and collecting the position data of the peripheral blocked vehicles by using a mobile phone sensor in the vehicle when traffic jam occurs, the position relation judgment unit is used for judging the position relation among all the blocked vehicles according to the collected data so as to find the vehicles at the jam source, the jammed vehicle number prediction unit is used for predicting and counting the number of the jammed vehicles according to the perceived data, the video sharing unit is used for sharing the field video shot by the mobile phone sensor in the vehicle at the jam source through a block chain, the image recognition unit and the congestion reason judgment unit are used for carrying out image recognition on the shared video and judging the direct reason of congestion, the GPS positioning unit is used for positioning an accident scene according to the video content under the condition of a traffic accident, and the rescue processing unit is used for informing the rescue center to go to rescue after confirming the position of the accident.
When traffic jam occurs, the data perception collection unit is provided with a 3D acceleration sensor and a WIFI signal detector, other blocked vehicles around each vehicle are perceived by the 3D acceleration sensor, the number of client sides is detected by the WIFI signal detector to confirm the position relation between the vehicles, the number of vehicle jams is predicted by combining the 3D acceleration sensor and the WIFI signal detector, the vehicle at the source of the jam is found, videos shot by the vehicle at the source of the jam are shared to other vehicles and a rescue center through a block chain, the videos shot by the vehicle at the source are shared to the block chain, so that the direct reason of the occurrence of the jam can be judged, and the speed of processing the jam condition can be accelerated.
The video shot by a vehicle at the source of congestion is subjected to stop-motion recognition by an image recognition unit, the recognition result is transmitted to a congestion cause judgment unit, the congestion cause judgment unit judges the cause of traffic congestion according to the recognition result, if the congestion cause is the vehicle surge caused by small road volume rate, the vehicle which does not reach the congestion site is suggested by the running suggestion unit to change the route in time, and the driver in congestion is helped to know the congestion cause and congestion situation in time through the video shared by the block chain.
If the congestion is caused by a traffic accident, the position of the accident scene is confirmed through the GPS positioning unit, the positioning data is transmitted to the rescue processing unit, the rescue center confirms the position of the accident scene through the rescue processing unit, the video of the accident scene is checked through the block chain to judge the emergency degree of the rescue, the rescue is implemented, the video shared by the block chain can help the rescue center to know the emergency degree of the accident in advance, and the rescue can be rapidly carried out when the rescue center goes to the scene according to the positioning.
A data perception sharing method based on a block chain is characterized in that: the method comprises the following steps:
s1: when traffic jam occurs, the 3D acceleration sensor and the WIFI signal are used for detecting the relation between the jammed vehicles and the positions around the jammed vehicles;
s2: predicting the number of vehicle congestion, searching congestion source vehicles, and shooting videos and sharing by using the source vehicles;
s3: carrying out data acquisition perception and image recognition on the shared video, and judging the reason of congestion;
s4: if a traffic accident occurs, positioning a vehicle at a congestion source and transmitting the vehicle to a rescue center to wait for rescue;
s5: if no traffic accident happens, suggesting the vehicles which do not arrive to change the route in time.
In step S1: when traffic jam occurs, the total length of a jammed road section is a by using a data sensing and collecting unit, the road width of the jammed road section is D, other jammed vehicles around each vehicle are sensed by using a 3D acceleration sensor, and the vehicle position of the jammed road section is detected by using a WIFI signal detector: the method comprises the following steps of calculating a WIFI signal detection range S of each vehicle according to the following formula by taking the position of a congested vehicle as a center and the road width d of a congested road section as a detection diameter:
the clients with the same ID name are excluded, and the number set of the clients with different ID names is detected to be A ═ A { A } through a WIFI signal detector of each vehicle1，A2，...，AnAnd establishing a two-dimensional coordinate system by taking the center of the tail end of the congested road section as an origin, and determining that the position coordinate set of the vehicle on the congested road section is (x, y) { (x)1，y1)，(x2，y2)，...，(xn，yn) Therein ofN represents the total number of jammed vehicles, vehicle position coordinate data are transmitted to a position relation judgment unit through a block chain, the detection range S is defined by taking the road width of a jammed road section as a WIFI detection diameter, the purpose of accurately finding the number of vehicles on the jammed road section and determining the position of the vehicles is achieved, the vehicles at the jam source can be conveniently and rapidly found to judge the traffic jam reason, the number of clients with different ID names is the number of jammed vehicles, and the defined detection range S is the most reasonable, so that the accuracy of predicting the number of jammed vehicles can be improved, and the consumption of a WIFI signal detector can be saved.
In step S2: judging the position relationship between the jammed vehicles by using a position relationship judging unit: the method comprises the steps that vehicles with the same vertical coordinate are classified into the same lane, a data sensing acquisition unit acquires the number of lanes in a congested road section as j, if the difference of the horizontal coordinates of the positions of the vehicles is within d/j, the corresponding vehicles are judged to be in adjacent lanes, the position relation data of the vehicles are transmitted to a congested vehicle number prediction unit, and the congested vehicle number prediction unit is used for predicting the number set of the congested vehicles in each lane to be m ═ m1，m2，...，mjJ represents the total number of lanes of the congested road section,
and finding the vehicle with the minimum longitudinal coordinate of each lane as the congestion source vehicle of each lane, and shooting a video by using the source vehicle and sharing the video through a block chain.
In step S3: the image recognition unit is used for recognizing the video of the congestion site shot by the source vehicle, the recognition result is transmitted to the congestion cause judgment unit, and the congestion cause judgment unit is used for analyzing the traffic congestion situation and judging the cause.
In step S4: if the reason of the traffic jam is the traffic accident, the judgment result is transmitted to the GPS positioning unit, and the GPS positioning unit is utilized to position the vehicle coordinate of the jam source as (x)Get up，yGet up) And transmitting the positioning to a rescue processing unit, and waiting for a rescue center to wait for rescue if no traffic accident occurs.
In step S5:if no traffic accident occurs, reminding that the congestion condition exists in front of the vehicle which does not reach the congestion place: confirming the position coordinate of the tail end of the jammed road section as (x) by utilizing a GPS positioning unitFinal (a Chinese character of 'gan')，yFinal (a Chinese character of 'gan')) The vehicle position coordinate set of the unreachable road section is determined to be (x ', y') { (x)1’，y1’)，(x2’，y2’)，...，(xi’，yi') }, wherein i represents the number of vehicles which do not reach the congested section, and the distance D from the vehicle which does not reach the congested section to the tail end of the congested section is calculated according to the following formula:
the data perception acquisition unit is used for acquiring a turnable intersection set in the distance route as A ═ A1，A2，...，ANAnd N represents the number of intersections which can turn, intersection position information is shared through a block chain, vehicles which do not reach a congestion place are informed to turn left and right at proper intersections in advance on the premise that the vehicles can reach a destination, the positions of the tail ends of the congestion road sections and the coordinates of the positions of the vehicles which do not reach the congestion road sections are confirmed by a GPS positioning unit so as to obtain the distance D from the vehicles which do not reach the congestion road sections to the tail ends of the congestion road sections, the purpose is to confirm the intersection position information which can turn in the routes corresponding to the congestion road sections and corresponds to different vehicles, and the intersection position information is shared through the block chain, so that a driver can change the driving route timely according to the information, the driving time is saved, and the severity of traffic congestion can be relieved to a certain extent.
The first embodiment is as follows: the total length a of the congested road section is collected by a data perception collection unit and is 100(km), the road width D of the congested road section is 10.5(m), other congested vehicles around each vehicle are perceived by a 3D acceleration sensor, and the vehicle position of the congested road section is detected by a WIFI signal detector: taking the position of the congested vehicle as the center, taking the road width d of the congested road section as the detection diameter, and calculating the length of the congested road section according to a formula
Calculating the WIFI signal detection range S of each vehicle approximately equal to 86.6 (m)2) And excluding clients with the same ID name, and detecting that the number set of the clients with different ID names is A ═ A by the WIFI signal detector of each vehicle1，A2，...，A30The total number of the jammed vehicles is 30, a two-dimensional coordinate system is established by taking the center of the tail end of the jammed road section as an origin to confirm the position coordinates of the vehicles on each jammed road section, the vehicles with the same vertical coordinate are classified into the same lane, the data sensing and collecting unit collects the number of the lanes on the jammed road section to be 3, if the difference of the horizontal coordinates of the positions of the vehicles is within d/j to 3.5(m), the corresponding vehicles are judged to be in the adjacent lanes, and the jammed vehicle number prediction unit is used for predicting the number set of the jammed vehicles on each lane to be m to m { m to m ═ m1，m2，m3And 5, finding the vehicle with the smallest longitudinal coordinate of each lane as a congestion source vehicle of each lane, and shooting a video by using the source vehicle and sharing the video through a block chain.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A data perception sharing system based on a block chain is characterized in that: the method comprises the following steps: the system comprises a data perception acquisition unit, a video sharing unit, a block chain, a position relation judgment unit, a congested vehicle number prediction unit, an image identification unit, a congestion reason judgment unit, a GPS positioning unit, a driving suggestion unit and a rescue processing unit;
the input end of the block chain is connected with the output ends of the data perception acquisition unit and the video sharing unit, the output end of the block chain is connected with the input ends of the position relation judging unit and the image identification unit, the output end of the position relation judging unit is connected with the input end of the congestion vehicle number predicting unit, the output end of the congestion vehicle number predicting unit is connected with the input end of the video sharing unit, the output end of the image identification unit is connected with the input end of the congestion reason judging unit, the output end of the congestion reason judging unit is connected with the input end of the GPS positioning unit, and the output end of the GPS positioning unit is connected with the input ends of the rescue processing unit and the driving suggestion unit;
the data sensing and collecting unit is used for sensing and collecting the position data of the peripheral blocked vehicles by using a sensor of a mobile phone in the vehicle when traffic jam occurs, the position relation judging unit is used for judging the position relation among all the blocked vehicles according to the collected data so as to find the vehicle at the source of the jam, the congested vehicle number prediction unit is used for predicting and counting the number of congested vehicles according to the sensed data, the video sharing unit is used for sharing the site video shot by the mobile phone sensor in the vehicle at the source of congestion through the block chain, the image identification unit and the congestion cause judgment unit are used for carrying out image identification on the shared video and judging the direct cause of congestion, the GPS positioning unit is used for positioning the accident scene according to the video content under the condition of traffic accident, the rescue processing unit is used for informing the rescue center to carry out rescue after confirming the accident position.
2. The system according to claim 1, wherein: when traffic jam occurs, the data perception collection unit is provided with a 3D acceleration sensor and a WIFI signal detector, the 3D acceleration sensor is used for perceiving other jammed vehicles around each vehicle, the WIFI signal detector is used for detecting the number of clients to confirm the position relation between the vehicles, the 3D acceleration sensor and the WIFI signal detector are combined to predict the number of vehicle jam, the vehicles at the jam source are found, and videos shot by the vehicles at the jam source are shared to other vehicles and the rescue center through a block chain.
3. The system according to claim 1, wherein: the image identification unit is used for carrying out stop-motion identification on a video shot by a vehicle at a source of congestion, an identification result is transmitted to the congestion cause judgment unit, the congestion cause judgment unit judges the cause of traffic congestion according to the identification result, if the congestion cause is the reason that the road volume rate is small and the vehicle is increased rapidly, the running suggestion unit is used for suggesting the vehicle which does not reach the congestion site to change the route in time.
4. The system according to claim 3, wherein: if the congestion is caused by a traffic accident, the position of the accident scene is confirmed through the GPS positioning unit, the positioning data is transmitted to the rescue processing unit, the rescue center confirms the position of the accident scene through the rescue processing unit, the video of the accident scene is checked through the block chain to judge the emergency degree of the rescue, and the rescue is implemented.
5. A data perception sharing method based on a block chain is characterized in that: the method comprises the following steps:
s1: when traffic jam occurs, the 3D acceleration sensor and the WIFI signal are used for detecting the relation between the jammed vehicles and the positions around the jammed vehicles;
s2: predicting the number of vehicle congestion, searching congestion source vehicles, and shooting videos and sharing by using the source vehicles;
s3: carrying out data acquisition perception and image recognition on the shared video, and judging the reason of congestion;
s4: if a traffic accident occurs, positioning a vehicle at a congestion source and transmitting the vehicle to a rescue center to wait for rescue;
s5: if no traffic accident happens, suggesting the vehicles which do not arrive to change the route in time.
6. The method according to claim 5, wherein the method comprises: in step S1: when traffic jam occurs, the total length of a jammed road section is a by using a data sensing and collecting unit, the road width of the jammed road section is D, other jammed vehicles around each vehicle are sensed by using a 3D acceleration sensor, and the vehicle position of the jammed road section is detected by using a WIFI signal detector: the method comprises the following steps of calculating a WIFI signal detection range S of each vehicle according to the following formula by taking the position of a congested vehicle as a center and the road width d of a congested road section as a detection diameter:
the clients with the same ID name are excluded, and the number set of the clients with different ID names is detected to be A ═ A { A } through a WIFI signal detector of each vehicle1，A2，...，AnAnd establishing a two-dimensional coordinate system by taking the center of the tail end of the congested road section as an origin, and determining that the position coordinate set of the vehicle on the congested road section is (x, y) { (x)1，y1)，(x2，y2)，...，(xn，yn) And n represents the total number of the jammed vehicles, and the vehicle position coordinate data is transmitted to the position relation judgment unit through the block chain.
7. The method according to claim 6, wherein the method comprises: in step S2: judging the position relationship between the jammed vehicles by using the position relationship judging unit: the method comprises the steps that vehicles with the same vertical coordinate are classified into the same lane, a data sensing acquisition unit acquires the number of lanes in a congested road section as j, if the difference of the horizontal coordinates of the positions of the vehicles is within d/j, the corresponding vehicles are judged to be in adjacent lanes, the position relation data of the vehicles are transmitted to a congested vehicle number prediction unit, and the congested vehicle number prediction unit is used for predicting the number set of the congested vehicles in each lane to be m ═ m1，m2，...，mjJ represents the total number of lanes of the congested road section,
and finding the vehicle with the minimum longitudinal coordinate of each lane as the congestion source vehicle of each lane, shooting a video by using the source vehicle and sharing through the block chain.
8. The method according to claim 5, wherein the method comprises: in step S3: the method comprises the steps of utilizing an image recognition unit to recognize a congestion site video shot by a source vehicle, transmitting a recognition result to a congestion cause judgment unit, and utilizing the congestion cause judgment unit to analyze traffic congestion conditions and judge causes.
9. The method according to claim 8, wherein the method comprises: in step S4: if the reason of the traffic jam is the traffic accident, the judgment result is transmitted to a GPS positioning unit, the GPS positioning unit is used for positioning the coordinates of the jam source vehicle, the positioning is transmitted to a rescue processing unit, and a rescue center is waited for the rescue, if the traffic accident does not occur.
10. The method according to claim 8, wherein the method comprises: in step S5: if no traffic accident occurs, reminding that the congestion condition exists in front of the vehicle which does not reach the congestion place: confirming the position coordinate of the tail end of the jammed road section as (x) by utilizing a GPS positioning unitFinal (a Chinese character of 'gan')，yFinal (a Chinese character of 'gan')) The vehicle position coordinate set of the unreachable road section is determined to be (x ', y') { (x)1’，y1’)，(x2’，y2’)，...，(xi’，yi') }, wherein i represents the number of vehicles which do not reach the congested section, and the distance D from the vehicle which does not reach the congested section to the tail end of the congested section is calculated according to the following formula:
the data perception acquisition unit is used for acquiring a turnable intersection set in the distance route as A ═ A1，A2，...，ANAnd N represents the number of intersections which can turn, intersection position information is shared through a block chain, and vehicles which do not reach the congestion place are recommended to turn left and right at the appropriate intersections in advance on the premise that the vehicles can reach the destination.
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