CN111598008A - Crowd supervision method and system based on path length management - Google Patents
Crowd supervision method and system based on path length management Download PDFInfo
- Publication number
- CN111598008A CN111598008A CN202010423662.5A CN202010423662A CN111598008A CN 111598008 A CN111598008 A CN 111598008A CN 202010423662 A CN202010423662 A CN 202010423662A CN 111598008 A CN111598008 A CN 111598008A
- Authority
- CN
- China
- Prior art keywords
- position information
- road
- image
- shooting
- client
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 29
- 238000007726 management method Methods 0.000 claims description 112
- 238000012544 monitoring process Methods 0.000 claims description 10
- 238000000605 extraction Methods 0.000 claims description 4
- 230000003993 interaction Effects 0.000 claims description 4
- 238000009825 accumulation Methods 0.000 description 4
- 230000007547 defect Effects 0.000 description 4
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 4
- 241000238631 Hexapoda Species 0.000 description 2
- 241000607479 Yersinia pestis Species 0.000 description 2
- 238000004140 cleaning Methods 0.000 description 2
- 201000010099 disease Diseases 0.000 description 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 2
- 238000002955 isolation Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T1/00—General purpose image data processing
- G06T1/0021—Image watermarking
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Databases & Information Systems (AREA)
- Economics (AREA)
- Primary Health Care (AREA)
- Health & Medical Sciences (AREA)
- Development Economics (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Educational Administration (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Multimedia (AREA)
- Remote Sensing (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Image Processing (AREA)
Abstract
The invention discloses a method and a system for supervising masses based on path length management, which comprises the following steps: the management jurisdiction of each road is defined in the electronic map based on the longitude and latitude, and a unique corresponding road length client is bound for each management jurisdiction; acquiring a road image shot and uploaded by a crowd client, wherein the road image carries an image watermark area, the image watermark area carries shooting time and position information, and the position information comprises shooting point position information and shooting object position information; and extracting position information in the image watermark area of the road image, judging a management jurisdiction in which the position information falls, and forwarding the road image to a road length client corresponding to the management jurisdiction. The invention can report the problem condition of the road in time by using a mode of supervision of the masses.
Description
Technical Field
The invention relates to a method and a system for monitoring the masses based on path length management.
Background
The road length system is named as road length responsibility system, and is used for carrying out gridding and real-name system management on roads, street level roads and village level roads at or above the border crossing district (county) level.
The personnel responsible for the path length include the following management criteria: 1. daily cleaning is in place, the road surface and two sides along the road surface are clean and tidy, exposed garbage is avoided, and bus shelters and stop boards along the line are complete and attractive and are not damaged; 2. the order is standard and orderly, the road is smooth, and the phenomena of random stacking, random placing and random building are avoided along the two sides of the road; 3. the road surface is intact, the water outlet groove is unobstructed, and the road surface is free from damage, mud accumulation and water accumulation; 4. the greening management and protection are in place, no obvious defects, dead trees and plant diseases and insect pests are generated during greening along the road, trees are pruned and reseeded in time, a greening isolation belt and a tree ring are clean, the side stones of the flower bed are clean, and no white garbage, sundries are accumulated in the greening belt and no encirclement phenomenon occurs.
At present, the road length needs to carry out patrol on the road at least once per week, and then the patrol finds problems are fed back, overall coordination is carried out on the fed-back problems, and the problem finding processing is completed. However, with the situation that roads are increased in the area of China and the diversity of the road situation changes, the problem situation in the management standard may occur only after the road length patrol, and the problem situation is easily found out and processed in time, so that certain improvement is provided.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a crowd monitoring method based on path length management, which can report the problem condition of a road in time by using a crowd monitoring mode.
The technical purpose of the invention is realized by the following technical scheme:
a crowd supervision method based on path length management comprises the following steps:
the management jurisdiction of each road is defined in the electronic map based on the longitude and latitude, and a unique corresponding road length client is bound for each management jurisdiction;
acquiring a road image shot and uploaded by a crowd client, wherein the road image carries an image watermark area, the image watermark area carries shooting time and position information, and the position information comprises shooting point position information and shooting object position information;
and extracting position information in the image watermark area of the road image, judging a management jurisdiction in which the position information falls, and forwarding the road image to a road length client corresponding to the management jurisdiction.
Preferably, the method for capturing the road image at the crowd client comprises the following steps:
forming an image alignment area in the center of a public client shooting interface, and shooting an object to be shot in the image alignment area to form a road image;
acquiring current shooting point position information, shooting point height information, shooting point azimuth information and shooting point angle information of the mass client based on shooting operation of the mass client, calculating shooting object position information of an object to be shot in an image alignment area, and generating position information containing longitude and latitude according to the shooting point position information and the shooting object position information;
and establishing an image watermark area on the road image formed by shooting, and generating shooting time and position information into the image watermark area.
Preferably, the method further comprises the following steps:
and establishing an information editing area on the shot road image, and generating the event description information into the image watermark area after the event description information is keyed in the information editing area.
Preferably, after forwarding the road image to the road length client corresponding to the administrative district, the method includes the following steps:
based on the navigation operation of the road length client, the road length client traverses the road image to search the image watermark area;
extracting the position information of a shot point and the position information of a shot object in an image watermark area;
and establishing two-section path information from the current position of the road length client to the position information of the shot point and from the position information of the shot point to the position information of the shot object.
Preferably, the method for extracting the position information in the image watermark area of the road image, judging the management jurisdiction in which the position information falls, and forwarding the road image to the road length client corresponding to the management jurisdiction comprises the following steps:
extracting position information in an image watermark area in a road image, wherein the position information comprises shooting point position information and shooting object position information;
judging a management jurisdiction in which the position information of the shot point and the position information of the shot object fall;
when the position information of the shot point and the position information of the shot object fall into a management jurisdiction, forwarding the road image to a road length client corresponding to the management jurisdiction;
and when the position information of the shot point and the position information of the shot object respectively fall into two different management jurisdictions, forwarding the road image to the road length client corresponding to the two management jurisdictions.
In view of the defects in the prior art, another object of the present invention is to provide a crowd monitoring system based on path length management, which can report the problem status of the road in time by using a mode of crowd monitoring.
The technical purpose of the invention is realized by the following technical scheme:
a crowd supervision system based on path length management comprises a crowd client, a management server and a path length client, wherein data interaction is established among the crowd client, the management server and the path length client; the management server comprises a planning module, an acquisition module and a forwarding module;
the planning module plans the management jurisdiction of each road in the electronic map based on the longitude and latitude, and binds a unique corresponding road length client for each management jurisdiction;
the acquisition module is used for acquiring a road image shot and uploaded by a crowd client, wherein the road image carries an image watermark area, the image watermark area carries shooting time and position information, and the position information comprises shooting point position information and shooting object position information;
the forwarding module is used for extracting the position information in the image watermark area of the road image, judging the management jurisdiction in which the position information falls, and forwarding the road image to the road length client corresponding to the management jurisdiction.
Preferably, the crowd client comprises a shooting module, a computing module and a watermark generating module;
the shooting module is used for forming an image alignment area in the center of a public client shooting interface and shooting an object to be shot in the image alignment area to form a road image;
the computing module collects current shooting point position information, shooting point height information, shooting point azimuth information and shooting point angle information of the mass client based on shooting operation of the mass client, computes shooting object position information of an object to be shot in an image alignment area, and generates position information containing longitude and latitude according to the shooting point position information and the shooting object position information;
the watermark generating module is used for establishing an image watermark area on a road image formed by shooting and generating shooting time and position information into the image watermark area.
Preferably, the crowd client further comprises an information generation module;
the information generation module is used for establishing an information editing area on the shot road image, and generating the event description information into the image watermark area after the event description information is keyed in the information editing area.
Preferably, the road length client comprises a searching module, an extracting module and a navigation module;
the search module traverses the road image to search the image watermark area based on the navigation operation of the road length client;
the extraction module is used for extracting the position information of a shot point and the position information of a shot object in the image watermark area;
the navigation module is used for establishing two-section path information from the current position of the road length client to the position information of the shooting point and from the position information of the shooting point to the position information of the shot object.
Preferably, the forwarding module is configured to extract location information in an image watermark region in the road image, where the location information includes shooting location information and shooting object location information; judging a management jurisdiction in which the position information of the shot point and the position information of the shot object fall; when the position information of the shot point and the position information of the shot object fall into a management jurisdiction, forwarding the road image to a road length client corresponding to the management jurisdiction; and when the position information of the shot point and the position information of the shot object respectively fall into two different management jurisdictions, forwarding the road image to the road length client corresponding to the two management jurisdictions.
In summary, compared with the prior art, the beneficial effects of the invention are as follows:
in the application, when people find that a series of problems such as road potholes and green belts are damaged on a road, road images can be shot and uploaded through the people client side, the management server can forward the road images to the corresponding road length client side according to position information in the road images, the road length client side can check the occurring problem conditions on site according to the road images and carry out coordination to solve the road problems.
Drawings
Fig. 1 is a schematic interaction diagram of a crowd client, a management server and a path length client according to a technical solution of the present invention;
fig. 2 is a schematic flow chart of a crowd monitoring method according to the technical solution of the present invention;
fig. 3 is a schematic flow chart of the road image shooting process by the crowd client in the technical solution of the present invention.
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. It should be noted that: the relative arrangement of parts and steps set forth in these embodiments does not limit the scope of the present invention unless specifically stated otherwise.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses. 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. Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
Example one
In the embodiment, in the periodic interval of the road length patrol, if a series of conditions that do not accord with the management standard occur on the road, the road images can be shot and uploaded through the crowd client, the management server can forward the road images to the corresponding road length client according to the position information in the road images, and the road length client can go to the site according to the road images to check the occurring problem conditions and coordinate to solve the road problems, so that the problems that the problem is not found and the problem is not processed timely are solved.
Wherein the specification of the road management standard includes: 1. daily cleaning is in place, the road surface and two sides along the road surface are clean and tidy, exposed garbage is avoided, and bus shelters and stop boards along the line are complete and attractive and are not damaged; 2. the order is standard and orderly, the road is smooth, and the phenomena of random stacking, random placing and random building are avoided along the two sides of the road; 3. the road surface is intact, the water outlet groove is unobstructed, and the road surface is free from damage, mud accumulation and water accumulation; 4. the greening management and protection are in place, no obvious defects, dead trees and plant diseases and insect pests are generated during greening along the road, trees are pruned and reseeded in time, a greening isolation belt and a tree ring are clean, the side stones of the flower bed are clean, and no white garbage, sundries are accumulated in the greening belt and no encirclement phenomenon occurs.
Referring to fig. 1, a crowd supervision method based on path length management is applied to a management server, and a crowd client is a mobile intelligent terminal, such as a smart phone, in the crowd. The road length client is a mobile intelligent terminal, such as a smart phone, in the road length. The management server, the crowd client and the road keeper client are in wireless communication to establish data connection.
Referring to fig. 2, the method specifically includes the following steps:
and S100, defining the management jurisdiction of each road in the electronic map based on the longitude and latitude, and binding a unique corresponding road length client for each management jurisdiction.
According to the technical scheme defined in the step S100, specifically, the electronic map is stored in the management server, the electronic map is updated in real time according to the municipal road information, each road has a determined road name, the management jurisdiction of each road is defined based on the longitude and latitude, so that the management jurisdiction of each road has a determined longitude and latitude range, wherein each management jurisdiction is bound with a unique corresponding road length client, that is, any road problem occurring in the longitude and latitude range of the management jurisdiction can correspond to a unique road length, and the uploaded information is sent to the road length client corresponding to the road length. It should be noted that there will be crossing administrative districts between roads, such as intersections, so that the crossing administrative districts between roads will be commonly responsible for the length of the crossing two roads.
Step S200, acquiring a road image uploaded by a crowd client, wherein the road image carries an image watermark area, the image watermark area carries shooting time and position information, and the position information comprises shooting point position information and shooting object position information.
According to the technical solution defined in step S200, specifically, when the crowd walks on the road, it is found that the road has a problem as in the above management specification, the crowd captures a road image through the crowd client, and the road image is uploaded to the management server, where, in capturing the road image by the crowd client, as shown in fig. 3, the method includes the following steps:
step S210, forming an image alignment area in the center of a public client shooting interface, and shooting an object to be shot in the image alignment area to form a road image;
step S220, acquiring current shooting point position information, shooting point height information, shooting point azimuth information and shooting point angle information of the mass client based on shooting operation of the mass client, calculating shooting object position information of an object to be shot in an image alignment area, and generating position information containing longitude and latitude according to the shooting point position information and the shooting object position information;
step S230, establishing an image watermark area on the road image formed by shooting, and generating shooting time and position information into the image watermark area;
step S240, an information editing area is established on the captured road image, and after event description information is keyed into the information editing area, the event description information is generated into the image watermark area.
Based on the technical solutions defined in the above steps S210 to S240, specifically, when the people client clicks the shooting button, the shooting interface is generated on the display screen of the people client, wherein an image alignment area is provided in the center of the shooting interface, and the image alignment area may be a dotted frame on the shooting interface, so as to provide a shooting sight for the people during the shooting operation, and the object to be shot is located in the image alignment area to be shot, so that the road image can be formed.
And based on the shooting operation of the crowd client, the road image is collected through a camera of the crowd client. The method comprises the steps of synchronously acquiring the current shooting point position information, the shooting point height information, the shooting point azimuth information and the shooting point angle information of the crowd client during shooting operation. It should be noted that the shooting point described in this embodiment represents a crowd client.
The system comprises a mass client, a GPS positioning module and a mass server, wherein the mass client is internally provided with the GPS positioning module, and the current shooting point position information of the mass client is the longitude and latitude information of the mass client positioned by the GPS positioning module. A height sensor is arranged in the mass client, and shooting point height information of the mass client can be acquired through the height sensor. An electronic compass is arranged in the mass client, and shooting point azimuth information of the mass client can be acquired through the electronic compass. The gyroscope is arranged in the mass client, and shooting point angle information of the mass client can be acquired through the gyroscope.
The shot object position information of the object to be shot in the image alignment area can be calculated through the shot point position information, the shot point height information, the shot point azimuth information and the shot point angle information. However, the shot object position information is not a hundred percent accurate longitude and latitude value, but a predicted longitude and latitude value between the position information and the shot point position information and the position and distance between the shot point position information and the shot point position information.
And generating position information containing longitude and latitude according to the shooting point position information and the shooting object position information, further establishing an image watermark area on the road image formed by shooting, and generating shooting time and position information into the image watermark area.
The time and the position of the road image shot by the crowd client can be determined by generating the shooting time and the position information into the image watermark area, so that the authenticity of the road image is ensured.
The following are exemplified:
the crowd A walks on a sidewalk of a road, and finds that the driving safety is affected by the depression in the middle of a road driving lane, so that the crowd A opens the crowd client, aims a camera of the crowd client at the depression of the road driving lane, and positions the depression in an image alignment area of a shooting interface.
The crowd A finishes shooting operation through the crowd client, and the camera finishes collection of road images containing road pits. During shooting operation, the crowd client acquires shooting point position information through a built-in GPS positioning module, and then calculates the shooting object position information according to the shooting point position information.
Firstly, the crowd client obtains shooting point height information through a built-in height sensor, namely the height of the crowd client lifted by the crowd A, and the crowd client obtains shooting point angle information through a built-in gyroscope, namely the included angle between the straight line direction and the vertical direction of a camera of the crowd client towards a road pit, wherein the included angle is the shooting point angle information. Therefore, the distance value between the position information of the shooting point and the road depression can be obtained through a trigonometric function through the information of the shooting point height and the information of the shooting point angle.
And then the crowd client obtains shooting point azimuth information through an electronic compass, wherein the shooting point azimuth information is the azimuth of the crowd A holding the crowd client camera towards the road hollow, such as the southeast direction 56 degrees.
Therefore, the position information of the shot object containing the longitude and latitude can be obtained through calculation according to the position information of the shot point, the position information containing the longitude and latitude is generated through the position information of the shot point and the position information of the shot object, and the shooting time and the position information are generated into the image watermark area of the road image.
And then the crowd A clicks the road image to trigger an editing instruction, the crowd A can input event description information such as 'road pothole', and after the editing is finished, the event description information can be generated in the image watermark area.
In a road image, an image watermark area is arranged at the lower left corner of the road image, and the following information respectively exists in the image watermark area: 1. shooting time; 2. shooting point position information containing longitude and latitude; 3. shooting object position information containing longitude and latitude and azimuth information between the shooting object position information and the shooting point position information; 4. event description information.
And the crowd A clicks an uploading key in the crowd client, and the road image is uploaded to the management server.
Step S300, extracting position information in the image watermark area of the road image, judging a management jurisdiction in which the position information falls, and forwarding the road image to a road length client corresponding to the management jurisdiction.
According to the technical scheme defined in step S300, specifically, in the management server, the management server scans the road image to obtain the position of the image watermark region, further identifies the position information in the image watermark region to obtain the shooting point position information and the shooting object position information, determines the management jurisdiction into which the position information falls, and forwards the road image to the road length client corresponding to the management jurisdiction.
The method comprises the following steps of extracting position information in an image watermark area of a road image, judging a management jurisdiction where the position information falls, and forwarding the road image to a road length client corresponding to the management jurisdiction, wherein the method comprises the following steps:
step S310, extracting position information in an image watermark area in a road image, wherein the position information comprises shooting point position information and shooting object position information;
step S320, judging a management jurisdiction in which the position information of the shot point and the position information of the shot object fall;
step S330, when the position information of the shot point and the position information of the shot object fall into a management jurisdiction, the road image is forwarded to a road length client corresponding to the management jurisdiction;
and step S340, when the shooting point position information and the shooting object position information respectively fall into two different management jurisdictions, forwarding the road image to the road length client corresponding to the two management jurisdictions.
According to the technical scheme defined in the step S310-step S340, the shooting point position information and the shooting object position information are jointly judged for managing the jurisdiction, so that when a crowd A stands on a road A to shoot a road image of a cross road B, the road image can be respectively sent to the road A and road B road length clients, disputes for managing the jurisdiction are avoided, and effective negotiation between the road A and the road B is ensured to solve the problem.
After the road image is forwarded to the road length client corresponding to the administrative district, the method comprises the following steps:
step S400, based on the navigation operation of the road length client, the road length client traverses the road image to search the image watermark area;
step S500, extracting the position information of a shot point and the position information of a shot object in an image watermark area;
step S600, establishing two-stage path information from the current position of the road length client to the position information of the shooting point and from the position information of the shooting point to the position information of the shot object.
According to the technical scheme defined in the steps S400 to S600, specifically, after the road length passes through the road length client, and then the road length needs to look up the situation of the position of the road image, the navigation button on the road length client is triggered to perform navigation operation, and in the navigation operation of the road length client, the road length client traverses the road image and scans and searches for the image watermark area of the determined road image, so as to extract the shooting point position information and the shooting object position information of the image watermark area, and establish two-stage path information from the current position of the road length client to the shooting point position information and from the shooting point position information to the shooting object position information.
In the second-stage path information, first-stage path information from the current position of the road length client to the position information of the shooting point is established, and when the road length client reaches the position information of the shooting point, the second-stage path information from the position information of the shooting point to the position information of the shot object is established, so that when the road length client is located at the position information of the shooting point, the directions and distances are guided, and if the position information of the shot object is 56 degrees in the southeast direction of the current position information of the shooting point, the distance is X meters.
Therefore, the road length can clearly determine the exact position of the shot object in the road image, and the problem coordination and processing can be effectively carried out.
In the application, when people find that a series of problems such as road potholes and green belts are damaged on a road, road images can be shot and uploaded through the people client side, the management server can forward the road images to the corresponding road length client side according to position information in the road images, the road length client side can check the occurring problem conditions on site according to the road images and carry out coordination to solve the road problems.
Example two
Referring to fig. 1, the embodiment provides a crowd monitoring system based on path length management, which includes a crowd client, a management server, and a path length client, where data interaction is established among the crowd client, the management server, and the path length client. The crowd client and the road length client can adopt mobile intelligent terminals, such as smart phones.
The management server comprises a demarcation module, an acquisition module and a forwarding module. The planning module plans the management jurisdiction of each road in the electronic map based on the longitude and latitude, and binds a unique corresponding road length client for each management jurisdiction; the acquisition module is used for acquiring a road image shot and uploaded by a crowd client, wherein the road image carries an image watermark area, the image watermark area carries shooting time and position information, and the position information comprises shooting point position information and shooting object position information; the forwarding module is used for extracting the position information in the image watermark area of the road image, judging the management jurisdiction in which the position information falls, and forwarding the road image to the road length client corresponding to the management jurisdiction.
The crowd client comprises a shooting module, a computing module and a watermark generating module; the shooting module is used for forming an image alignment area in the center of a public client shooting interface and shooting an object to be shot in the image alignment area to form a road image; the computing module collects current shooting point position information, shooting point height information, shooting point azimuth information and shooting point angle information of the mass client based on shooting operation of the mass client, computes shooting object position information of an object to be shot in an image alignment area, and generates position information containing longitude and latitude according to the shooting point position information and the shooting object position information; the watermark generating module is used for establishing an image watermark area on a road image formed by shooting and generating shooting time and position information into the image watermark area.
The mass client also comprises an information generation module; the information generation module is used for establishing an information editing area on the shot road image, and generating the event description information into the image watermark area after the event description information is keyed in the information editing area.
The road length client comprises a searching module, an extracting module and a navigation module; the search module traverses the road image to search the image watermark area based on the navigation operation of the road length client; the extraction module is used for extracting the position information of a shot point and the position information of a shot object in the image watermark area; the navigation module is used for establishing two-section path information from the current position of the road length client to the position information of the shooting point and from the position information of the shooting point to the position information of the shot object.
When the masses find that a series of problems such as road potholes and green belts are damaged on the road in the application, the road images can be shot and uploaded through the mass client side, the management server can forward the road images to the corresponding road length client side according to the position information in the road images, the road length client side can check the occurring problem conditions on site according to the road images and carry out coordination to solve the road problems.
The forwarding module is used for extracting position information in an image watermark area in a road image, and the position information comprises shooting point position information and shooting object position information; judging a management jurisdiction in which the position information of the shot point and the position information of the shot object fall; when the position information of the shot point and the position information of the shot object fall into a management jurisdiction, forwarding the road image to a road length client corresponding to the management jurisdiction; and when the position information of the shot point and the position information of the shot object respectively fall into two different management jurisdictions, forwarding the road image to the road length client corresponding to the two management jurisdictions.
The above description is intended to be illustrative of the present invention and not to limit the scope of the invention, which is defined by the claims appended hereto.
Claims (10)
1. A crowd supervision method based on path length management is characterized by comprising the following steps:
the management jurisdiction of each road is defined in the electronic map based on the longitude and latitude, and a unique corresponding road length client is bound for each management jurisdiction;
acquiring a road image shot and uploaded by a crowd client, wherein the road image carries an image watermark area, the image watermark area carries shooting time and position information, and the position information comprises shooting point position information and shooting object position information;
and extracting position information in the image watermark area of the road image, judging a management jurisdiction in which the position information falls, and forwarding the road image to a road length client corresponding to the management jurisdiction.
2. The crowd supervision method based on road length management as claimed in claim 1, wherein in the step of capturing the road image by the crowd client, the method comprises the following steps:
forming an image alignment area in the center of a public client shooting interface, and shooting an object to be shot in the image alignment area to form a road image;
acquiring current shooting point position information, shooting point height information, shooting point azimuth information and shooting point angle information of the mass client based on shooting operation of the mass client, calculating shooting object position information of an object to be shot in an image alignment area, and generating position information containing longitude and latitude according to the shooting point position information and the shooting object position information;
and establishing an image watermark area on the road image formed by shooting, and generating shooting time and position information into the image watermark area.
3. The crowd supervision method based on road length management as claimed in claim 2, further comprising the steps of:
and establishing an information editing area on the shot road image, and generating the event description information into the image watermark area after the event description information is keyed in the information editing area.
4. The crowd supervision method based on road length management according to claim 1, wherein after forwarding the road image to the road length client corresponding to the management jurisdiction, the method comprises the following steps:
based on the navigation operation of the road length client, the road length client traverses the road image to search the image watermark area;
extracting the position information of a shot point and the position information of a shot object in an image watermark area;
and establishing two-section path information from the current position of the road length client to the position information of the shot point and from the position information of the shot point to the position information of the shot object.
5. The crowd supervision method according to claim 1, wherein the method comprises the steps of extracting position information in an image watermark region of a road image, judging a management jurisdiction in which the position information falls, and forwarding the road image to a road length client corresponding to the management jurisdiction, and comprises the following steps:
extracting position information in an image watermark area in a road image, wherein the position information comprises shooting point position information and shooting object position information;
judging a management jurisdiction in which the position information of the shot point and the position information of the shot object fall;
when the position information of the shot point and the position information of the shot object fall into a management jurisdiction, forwarding the road image to a road length client corresponding to the management jurisdiction;
and when the position information of the shot point and the position information of the shot object respectively fall into two different management jurisdictions, forwarding the road image to the road length client corresponding to the two management jurisdictions.
6. A crowd supervision system based on path length management is characterized by comprising a crowd client, a management server and a path length client, wherein data interaction is established among the crowd client, the management server and the path length client; the management server comprises a planning module, an acquisition module and a forwarding module;
the planning module plans the management jurisdiction of each road in the electronic map based on the longitude and latitude, and binds a unique corresponding road length client for each management jurisdiction;
the acquisition module is used for acquiring a road image shot and uploaded by a crowd client, wherein the road image carries an image watermark area, the image watermark area carries shooting time and position information, and the position information comprises shooting point position information and shooting object position information;
the forwarding module is used for extracting the position information in the image watermark area of the road image, judging the management jurisdiction in which the position information falls, and forwarding the road image to the road length client corresponding to the management jurisdiction.
7. The crowd monitoring system based on path length management according to claim 6, wherein the crowd client comprises a shooting module, a calculating module and a watermark generating module;
the shooting module is used for forming an image alignment area in the center of a public client shooting interface and shooting an object to be shot in the image alignment area to form a road image;
the computing module collects current shooting point position information, shooting point height information, shooting point azimuth information and shooting point angle information of the mass client based on shooting operation of the mass client, computes shooting object position information of an object to be shot in an image alignment area, and generates position information containing longitude and latitude according to the shooting point position information and the shooting object position information;
the watermark generating module is used for establishing an image watermark area on a road image formed by shooting and generating shooting time and position information into the image watermark area.
8. The system of claim 7, wherein the crowd client further comprises an information generation module;
the information generation module is used for establishing an information editing area on the shot road image, and generating the event description information into the image watermark area after the event description information is keyed in the information editing area.
9. The crowd monitoring system based on road length management as claimed in claim 6, wherein the road length client comprises a search module, an extraction module and a navigation module;
the search module traverses the road image to search the image watermark area based on the navigation operation of the road length client;
the extraction module is used for extracting the position information of a shot point and the position information of a shot object in the image watermark area;
the navigation module is used for establishing two-section path information from the current position of the road length client to the position information of the shooting point and from the position information of the shooting point to the position information of the shot object.
10. The crowd monitoring system based on road length management as claimed in claim 1, wherein the forwarding module is configured to extract location information in an image watermark region in the road image, and the location information includes shot location information and shot object location information; judging a management jurisdiction in which the position information of the shot point and the position information of the shot object fall; when the position information of the shot point and the position information of the shot object fall into a management jurisdiction, forwarding the road image to a road length client corresponding to the management jurisdiction; and when the position information of the shot point and the position information of the shot object respectively fall into two different management jurisdictions, forwarding the road image to the road length client corresponding to the two management jurisdictions.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010423662.5A CN111598008A (en) | 2020-05-19 | 2020-05-19 | Crowd supervision method and system based on path length management |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010423662.5A CN111598008A (en) | 2020-05-19 | 2020-05-19 | Crowd supervision method and system based on path length management |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111598008A true CN111598008A (en) | 2020-08-28 |
Family
ID=72191552
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010423662.5A Pending CN111598008A (en) | 2020-05-19 | 2020-05-19 | Crowd supervision method and system based on path length management |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111598008A (en) |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1652481A (en) * | 2005-02-25 | 2005-08-10 | 北京市东城区信息中心 | Urban managing information acquiring method and apparatus thereof |
| CN104183120A (en) * | 2014-08-22 | 2014-12-03 | 杨锦才 | Real-time road condition sharing and video-on-demand method based on road condition pictures |
| CN106205144A (en) * | 2016-09-07 | 2016-12-07 | 东南大学 | Highway Emergency Vehicle Lane takies supervision punishment method and system |
| CN106408952A (en) * | 2016-12-14 | 2017-02-15 | 浙江工业大学 | Motor vehicle violation shooting system and method |
| CN106447572A (en) * | 2016-09-05 | 2017-02-22 | 乐视控股（北京）有限公司 | Behavior supervision method and apparatus |
| CN106875017A (en) * | 2017-01-03 | 2017-06-20 | 张夏林 | Method is reported in a kind of workout path intellectuality based on mobile Internet for repairment |
| CN108169792A (en) * | 2017-12-12 | 2018-06-15 | 武汉墨锦创意科技有限公司 | A kind of earthquake disaster data capture management method and system |
| US10475338B1 (en) * | 2018-09-27 | 2019-11-12 | Melodie Noel | Monitoring and reporting traffic information |
| CN110728608A (en) * | 2019-09-25 | 2020-01-24 | 哈尔滨哈工大机器人集团嘉利通科技股份有限公司 | Intelligent law enforcement management system and method |
-
2020
- 2020-05-19 CN CN202010423662.5A patent/CN111598008A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1652481A (en) * | 2005-02-25 | 2005-08-10 | 北京市东城区信息中心 | Urban managing information acquiring method and apparatus thereof |
| CN104183120A (en) * | 2014-08-22 | 2014-12-03 | 杨锦才 | Real-time road condition sharing and video-on-demand method based on road condition pictures |
| CN106447572A (en) * | 2016-09-05 | 2017-02-22 | 乐视控股（北京）有限公司 | Behavior supervision method and apparatus |
| CN106205144A (en) * | 2016-09-07 | 2016-12-07 | 东南大学 | Highway Emergency Vehicle Lane takies supervision punishment method and system |
| CN106408952A (en) * | 2016-12-14 | 2017-02-15 | 浙江工业大学 | Motor vehicle violation shooting system and method |
| CN106875017A (en) * | 2017-01-03 | 2017-06-20 | 张夏林 | Method is reported in a kind of workout path intellectuality based on mobile Internet for repairment |
| CN108169792A (en) * | 2017-12-12 | 2018-06-15 | 武汉墨锦创意科技有限公司 | A kind of earthquake disaster data capture management method and system |
| US10475338B1 (en) * | 2018-09-27 | 2019-11-12 | Melodie Noel | Monitoring and reporting traffic information |
| CN110728608A (en) * | 2019-09-25 | 2020-01-24 | 哈尔滨哈工大机器人集团嘉利通科技股份有限公司 | Intelligent law enforcement management system and method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109886096B (en) | Wisdom tourism supervision and safe emergency management linkage command system | |
| US9273976B2 (en) | Defining travel paths in parking areas | |
| US9195987B2 (en) | Systems and methods of correlating business information to determine spam, closed businesses, and ranking signals | |
| WO2020108065A1 (en) | Collection system and collection method used for traffic safety equipment controlled by internet of things | |
| CN111583343B (en) | Visual positioning method, related device, equipment and storage medium | |
| US20230410232A1 (en) | System for Determining Type of Property Inspection Based on Captured Images | |
| CN110032193A (en) | A kind of intelligence tractor field obstruction-avoiding control system and method | |
| KR20170015754A (en) | Vehicle Location Method of Skyline | |
| CN111598008A (en) | Crowd supervision method and system based on path length management | |
| CN206991545U (en) | A kind of intelligent illegal parking punishment system | |
| CN112687023A (en) | Method for inspecting road facilities based on geo-fence | |
| CN115936952A (en) | Intelligent park personnel congestion dredging management system and method | |
| TWI387940B (en) | Traffic information analysis system and method using geographic information module and aerial map | |
| KR100887353B1 (en) | System and method for measuring outdoor advertisement article | |
| JP2005241715A (en) | Map information collecting system | |
| CN108243389A (en) | Method and system is determined based on the hotspot location of multipoint acquisition | |
| KR20230100001A (en) | Road integrated management system for road maintenance | |
| CN113780139A (en) | Greening pruning detection method and system based on video data | |
| CN114708322B (en) | Method for judging separation of formicary of solenopsis invicta by river and highway | |
| CN108256380A (en) | Road traffic exception automatic testing method | |
| CN108721069B (en) | Blind person auxiliary glasses based on multi-mode data for visual positioning | |
| CN102543124A (en) | System and method for providing value-added services based on radio frequency identification technology | |
| CN110853354A (en) | Road traffic depth acquisition system based on GPS | |
| CN214584936U (en) | Road side ditch siltation detection system and device | |
| CN112235380A (en) | Factory network coordination control method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200828 |
|
| RJ01 | Rejection of invention patent application after publication |