CN116862164A - Digital twin system for intelligent park - Google Patents

Digital twin system for intelligent park Download PDF

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Publication number
CN116862164A
CN116862164A CN202310809049.0A CN202310809049A CN116862164A CN 116862164 A CN116862164 A CN 116862164A CN 202310809049 A CN202310809049 A CN 202310809049A CN 116862164 A CN116862164 A CN 116862164A
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CN
China
Prior art keywords
value
information
park
defect
pavement
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CN202310809049.0A
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Chinese (zh)
Inventor
马超
马天一
马俪文
刘周
薛倩
谢文洁
黄徐成
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Wuxi Huiyou Information Technology Co ltd
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Wuxi Huiyou Information Technology Co ltd
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Priority to CN202310809049.0A priority Critical patent/CN116862164A/en
Publication of CN116862164A publication Critical patent/CN116862164A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311Scheduling, planning or task assignment for a person or group
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services

Abstract

The invention discloses a digital twin system of an intelligent park, which relates to the technical field of park systems, and the technical scheme is characterized by comprising a park road surface detection module, a road surface analysis module and a reminding module; the park road surface detection module is used for acquiring defect information and attachment information of the park road surface; the pavement analysis module performs joint processing analysis on the defect information and the attachment information of the pavement to obtain a processing value; the processing value comprises a defect value and a cleaning value, wherein the defect value is a value which is obtained by processing and analyzing the defect information of the road surface and used for representing the defect of the road surface, and the cleaning value is a value which is obtained by processing and analyzing the attachment information of the road surface and used for representing the attachment of the road surface; the reminding module reminds workers of processing the pavement according to the processing value, and the effect is that the workers are timely informed of processing when a defective state occurs on the park pavement or attachments exist on the park pavement.

Description

Digital twin system for intelligent park
Technical Field
The invention relates to the technical field of park systems, in particular to a digital twin system of an intelligent park.
Background
The district is that government concentrates on unified planning assigned area, sets up the enterprise of certain specific trade, form, company etc. in the district specially and carries out unified management, typical like industry district, from trade garden, industry garden, animation garden, however current wisdom garden digital twin system can only acquire the defect information on road surface and the attachment information on road surface to can not carry out joint processing analysis to defect information on road surface and attachment information and remind the staff to handle, consequently need the district manager to count road surface defect information and road surface attachment, report to the staff and handle, consequently influence the efficiency that the staff handled the road surface.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide a digital twin system for an intelligent park.
In order to achieve the above purpose, the present invention provides the following technical solutions:
the intelligent garden digital twin system comprises a garden road surface detection module, a road surface analysis module and a reminding module.
The park road surface detection module is used for acquiring the defect information and the attachment information of the park road surface.
The pavement analysis module performs joint processing analysis on the defect information and the attachment information of the pavement to obtain a processing value; the processing values comprise a defect value and a cleaning value, wherein the defect value is a value which is obtained by processing and analyzing the defect information of the road surface and used for representing the defect of the road surface, and the cleaning value is a value which is obtained by processing and analyzing the attachment information of the road surface and used for representing the attachment of the road surface.
The reminding module reminds workers of processing the pavement according to the processing value.
According to the invention, the park pavement is monitored in real time, so that the defect information and the attachment information of the park pavement are obtained, when the park pavement is defective, workers are required to be reminded to repair the defective pavement, and when the park pavement has waste, accumulated water and accumulated snow, the workers are required to be reminded to clean the pavement, so that the road traffic is prevented from being influenced.
Preferably, the defect information of the road surface includes crack number information, collapse area information, and crack width information.
It is noted that the cameras are installed on the park, and the information of the number of cracks, the information of the width of cracks and the information of the collapse area of the park pavement can be obtained through shooting by the cameras, so that the traffic of the pavement and the traffic of pedestrians are affected when the park pavement is cracked and collapsed.
The pavement attachment information comprises discarded object information, accumulated water amount information and accumulated snow amount information.
It is noted that when the article is discarded to the attached thing that has on the garden road surface, then need remind environmental protection staff to clear up, prevent to discard the article and influence garden road surface vehicle and pedestrian and pass, discard the article and include discarded article such as rubbish, if the ponding on garden road surface is more, then influence garden road surface vehicle and pedestrian and pass, need remind environmental protection staff to handle, if the snow volume on garden road surface is more, then influence garden road surface vehicle and pedestrian pass, need remind environmental protection staff to handle garden road surface snow.
Preferably, the cracking quantity information, the collapse area information and the cracking width information are taken and marked to obtain a cracking quantity value KLS, a collapse area value TXM and a cracking width value YDZ.
It should be noted that if the cracking phenomenon occurs on the campus road surface, and the number of cracking occurs on the campus road surface is 3, the value of the cracking quantity value KLS is 3, and if the number of cracking occurs on the campus road surface is 5, the value of the cracking quantity value KLS is 5; if the area value of the subsidence of the park pavement is 10 square decimeters, the value of the subsidence area value TXM is 10, and if the area value of the subsidence of the park pavement is 20 square decimeters, the value of the subsidence area value TXM is 20; if 3 cracks appear on the park pavement, the width of the first pavement crack is 2 cm, the width of the second pavement crack is 3 cm, and the width of the third pavement crack is 4 cm, the cracking width value YDZ is 9; if 2 slits appear on the park road surface and the width of the slit on the first road surface is 3 cm and the width of the slit on the second road surface is 1 cm, the cracking width value YDZ is 4.
And taking and marking the discarded object information, the accumulated water amount information and the accumulated snow amount information to obtain a discarded object occupied area value DQZ, an accumulated water amount depth value JSL and an accumulated snow amount depth value JXL.
It should be noted that if the land occupation area of the land waste on the campus is 10 square decimeters, the value of the land occupation area value DQZ of the discarded object is 10, and if the land occupation area of the land waste on the campus is 6 square decimeters, the value of the land occupation area value DQZ of the discarded object is 6; when water accumulation occurs on the garden pavement, and the water accumulation depth of the garden pavement is 10 cm, the value of the water accumulation depth value JSL is 10, and if the water accumulation depth of the garden pavement is 6 cm, the value of the water accumulation depth value JSL is 6; when snow appears on the garden road surface, if the snow depth on the garden road surface is 8 cm, then the value of snow volume degree of depth value JXL is 8, if the snow depth on the garden road surface is 5 cm, then the value of snow volume degree of depth value JXL is 5.
Preferably, the defect value QXZ is calculated by the defect function QXZ =a1×kls+a2×txm+a3×yds; wherein a1, a2 and a3 are influencing factors and are greater than zero.
It should be noted that, here, the values of a1, a2 and a3 are all set to 1, and when the value of the cracking quantity value KLS is 3, the value of the collapse area value TXM is 10 and the cracking width value YDZ is 9, the defect value QXZ is calculated by the defect function QXZ =a1×kls+a2×txm+a3×yds to be 22; when the value of the fracture number KLS is 5, the value of the collapse area TXM is 20, and the fracture width YDZ is 4, the defect value QXZ is calculated by the defect function QXZ =a1×kls+a2×txm+a3×yds to be 29.
A cleaning value QLZ is calculated by a cleaning function QLZ =b1× DQZ +b2×jsl+b3×jxl; wherein b1, b2 and b3 are influencing factors and are greater than zero.
It should be noted that, here, the values of b1, b2 and b3 are all set to 1, and when the value of the discarded object occupation area value DQZ is 10, the value of the accumulated water depth value JSL is 10 and the value of the accumulated water depth value JXL is 8, the cleaning value QLZ is 19 by calculating the cleaning function QLZ =b1× DQZ +b2×jsl+b3×jxl; when the discarded object occupation area value DQZ is 6, the accumulated water depth value JSL is 6, and the accumulated water depth value JXL is 5, the cleaning value QLZ is 17 by calculating the cleaning function QLZ =b1× DQZ +b2×jsl+b3×jxl.
Preferably, the defect value QXZ is compared with a preset defect threshold a:
if the defect value QXZ is less than the preset defect threshold A, the staff is not required to be notified to repair the park pavement.
If the defect value QXZ is greater than or equal to the preset defect threshold A, the staff is required to be informed to repair the park pavement.
Here, the preset defect threshold a is set to 3, and in the case that the defect value QXZ is 2, because the defect value QXZ is smaller than the preset defect threshold a, the worker is not required to be notified to repair the park road, because the park road does not affect normal traffic; in the case of a defect value QXZ of 22, since the defect value QXZ > the preset defect threshold value a, the operator needs to be notified to repair the park road surface because the park road surface affects normal traffic.
Comparing the cleaning value QLZ with a preset cleaning threshold B:
if the cleaning value QLZ is smaller than the preset cleaning threshold value B, the environment-friendly staff is not required to clean the garden pavement.
If the cleaning value QLZ is more than or equal to the preset cleaning threshold B, an environment-friendly worker is required to clean the garden pavement.
Here set the clearance threshold value B that presets to 5, under the condition that clearance value QLZ is 3, because clearance value QLZ < clearance threshold value B that presets, then need not environmental protection staff clear up the gardens road surface, because the attachment on gardens road surface does not influence vehicle and pedestrian normal traffic this moment, under the condition that reason value QLZ is 17, because clearance value QLZ > preset clearance threshold value B, then need environmental protection staff clear up the gardens road surface, because the attachment on gardens road surface influences vehicle and pedestrian normal traffic this moment.
Preferably, the processed value ZLZ is calculated by a processing function ZLZ =c1× QXZ +c2× QLZ; wherein c1 and c2 are influencing factors and are greater than zero.
Comparing the process value ZLZ with a preset process threshold Q:
if the treatment value ZLZ is less than the preset treatment threshold value Q, no staff is required to treat the campus road surface.
If the treatment value ZLZ is more than or equal to the preset treatment threshold value Q, a worker is required to treat the park pavement.
Preferably, the defect positions of the park are classified into defect areas; dividing an area within a preset distance value range of a defect area into dangerous areas; and dividing the area outside the preset distance value range of the defect area into a safety area.
It should be noted that when a defect occurs on a park pavement, the defect position of the park is classified into a defect area, an area within the preset distance value of 0.5 m of the defect area is classified into a dangerous area, pedestrians and vehicles are prevented from falling into the dangerous area to cause safety accidents, and an area outside the preset distance value of 0.5 m of the defect area is classified into a safe area, namely, installation safety accidents of the pedestrians and the vehicles in the safe area do not need to be worried about.
And arranging a protective fence at the edge of the defect area.
Distance information of the vehicle from the defective area in the running process and distance information of the pedestrian from the defective area in the running process are obtained.
And (3) taking and marking the distance information of the vehicle from the defective area in the running process and the distance information of the pedestrian from the defective area in the running process to obtain a first distance value DIJ and a second distance value DEJ.
Comparing the first distance value DIJ with a preset first distance threshold L1:
if the first distance value DIJ is less than or equal to the preset first distance threshold L1, the vehicle needs to be reminded of safety.
If the first distance value DIJ is greater than the preset first distance threshold L1, the vehicle is not required to be reminded of safety.
Comparing the second distance value DEJ with a preset second distance threshold L2:
if the second distance value DEJ is smaller than or equal to a preset second distance threshold L2, the pedestrian needs to be reminded of safety.
If the second distance value DEJ is greater than the preset second distance threshold L2, the pedestrian is not required to be reminded of safety.
Preferably, if the cleaning value QLZ is greater than or equal to a preset cleaning threshold value B, an environment-friendly worker is required to clean the garden pavement, specifically:
position information of park pavement attachments, position information of environment-friendly staff and workload information of the environment-friendly staff are acquired.
The distance value L of the environment-friendly staff from the park pavement attachments is calculated through the position information of the park pavement attachments and the position information of the environment-friendly staff.
The workload information of the environment-friendly staff is specifically a time value T1 required by the environment-friendly staff to finish the current workload.
By a time functionCalculating to obtain the time T2 required by each environment-friendly staff to walk to the position of the park pavement attachments; wherein V represents the walking speed of the environment-friendly staff.
And comparing the time T2 required by each environment-friendly staff to step to the position of the park pavement attachments, and reminding the environment-friendly staff with the minimum required time T2 to step to the park pavement attachments.
Compared with the prior art, the invention has the following beneficial effects:
1. according to the invention, the pavement analysis module is used for carrying out joint processing analysis on the defect information and the attachment information of the pavement to obtain the processing value, and reminding a worker of processing the pavement according to the processing value, so that whether the pavement of the park has a defect state or not can be timely found, whether the pavement of the park has attachments or not can be timely found, and the worker is timely informed of processing when the pavement of the park has the defect state or the attachments on the pavement of the park.
2. According to the invention, the position information of the attachments on the park road surface, the position information of the environment-friendly staff and the workload information of the environment-friendly staff are obtained, and the positions and the workload of the environment-friendly staff in the park are analyzed, so that the staff capable of processing the attachments on the park road surface at the fastest speed are screened to process, the attachments on the park road surface can be processed in time, and the traffic of vehicles and pedestrians on the park road surface can be recovered in time.
Drawings
FIG. 1 is a schematic diagram of a digital twin system for an intelligent park according to the present invention;
FIG. 2 is a schematic diagram of a process flow of a digital twin system for an intelligent park according to the present invention;
FIG. 3 is a schematic flow chart of reminding an environmental protection worker to walk to a park pavement attachment position in the intelligent park digital twin system.
Detailed Description
Referring to fig. 1 to 3.
Example one further illustrates the digital twin system for the intelligent park according to the present invention.
The intelligent garden digital twin system comprises a garden road surface detection module, a road surface analysis module and a reminding module.
The park road surface detection module is used for acquiring defect information and attachment information of the park road surface.
The pavement analysis module performs joint processing analysis on the defect information and the attachment information of the pavement to obtain a processing value; the processing values comprise a defect value and a cleaning value, wherein the defect value is a value which is obtained by processing and analyzing the defect information of the road surface and is used for representing the defect of the road surface, and the cleaning value is a value which is obtained by processing and analyzing the attachment information of the road surface and is used for representing the attachment of the road surface.
The reminding module reminds workers of processing the pavement according to the processing value.
According to the invention, the park pavement is monitored in real time, so that the defect information and the attachment information of the park pavement are obtained, when the park pavement is defective, workers are required to be reminded to repair the defective pavement, and when the park pavement has waste, accumulated water and accumulated snow, the workers are required to be reminded to clean the pavement, so that the road traffic is prevented from being influenced.
The defect information of the road surface includes cracking quantity information, collapse area information and cracking width information.
It is noted that the cameras are installed on the park, and the information of the number of cracks, the information of the width of cracks and the information of the collapse area of the park pavement can be obtained through shooting by the cameras, so that the traffic of the pavement and the traffic of pedestrians are affected when the park pavement is cracked and collapsed.
The road surface attachment information comprises discarded object information, accumulated water amount information and accumulated snow amount information.
It is noted that when the article is discarded to the attached thing that has on the garden road surface, then need remind environmental protection staff to clear up, prevent to discard the article and influence garden road surface vehicle and pedestrian and pass, discard the article and include discarded article such as rubbish, if the ponding on garden road surface is more, then influence garden road surface vehicle and pedestrian and pass, need remind environmental protection staff to handle, if the snow volume on garden road surface is more, then influence garden road surface vehicle and pedestrian pass, need remind environmental protection staff to handle garden road surface snow.
And (3) taking and marking the information of the number of cracks, the information of the collapse area and the information of the width of the cracks to obtain a value KLS of the number of cracks, a value TXM of the collapse area and a value YDZ of the width of the cracks.
It should be noted that if the cracking phenomenon occurs on the campus road surface, and the number of cracking occurs on the campus road surface is 3, the value of the cracking quantity value KLS is 3, and if the number of cracking occurs on the campus road surface is 5, the value of the cracking quantity value KLS is 5; if the area value of the subsidence of the park pavement is 10 square decimeters, the value of the subsidence area value TXM is 10, and if the area value of the subsidence of the park pavement is 20 square decimeters, the value of the subsidence area value TXM is 20; if 3 cracks appear on the park pavement, the width of the first pavement crack is 2 cm, the width of the second pavement crack is 3 cm, and the width of the third pavement crack is 4 cm, the cracking width value YDZ is 9; if 2 slits appear on the park road surface and the width of the slit on the first road surface is 3 cm and the width of the slit on the second road surface is 1 cm, the cracking width value YDZ is 4.
And taking and marking the discarded object information, the accumulated water amount information and the accumulated snow amount information to obtain a discarded object occupied area value DQZ, an accumulated water amount depth value JSL and an accumulated snow amount depth value JXL.
It should be noted that if the land occupation area of the land waste on the campus is 10 square decimeters, the value of the land occupation area value DQZ of the discarded object is 10, and if the land occupation area of the land waste on the campus is 6 square decimeters, the value of the land occupation area value DQZ of the discarded object is 6; when water accumulation occurs on the garden pavement, and the water accumulation depth of the garden pavement is 10 cm, the value of the water accumulation depth value JSL is 10, and if the water accumulation depth of the garden pavement is 6 cm, the value of the water accumulation depth value JSL is 6; when snow appears on the garden road surface, if the snow depth on the garden road surface is 8 cm, then the value of snow volume degree of depth value JXL is 8, if the snow depth on the garden road surface is 5 cm, then the value of snow volume degree of depth value JXL is 5.
A defect value QXZ is calculated by a defect function QXZ =a1×kls+a2×txm+a3×yds; wherein a1, a2 and a3 are influencing factors and are greater than zero.
It should be noted that, here, the values of a1, a2 and a3 are all set to 1, and when the value of the cracking quantity value KLS is 3, the value of the collapse area value TXM is 10 and the cracking width value YDZ is 9, the defect value QXZ is calculated by the defect function QXZ =a1×kls+a2×txm+a3×yds to be 22; when the value of the fracture number KLS is 5, the value of the collapse area TXM is 20, and the fracture width YDZ is 4, the defect value QXZ is calculated by the defect function QXZ =a1×kls+a2×txm+a3×yds to be 29.
A cleaning value QLZ is calculated by a cleaning function QLZ =b1× DQZ +b2×jsl+b3×jxl; wherein b1, b2 and b3 are influencing factors and are greater than zero.
It should be noted that, here, the values of b1, b2 and b3 are all set to 1, and when the value of the discarded object occupation area value DQZ is 10, the value of the accumulated water depth value JSL is 10 and the value of the accumulated water depth value JXL is 8, the cleaning value QLZ is 19 by calculating the cleaning function QLZ =b1× DQZ +b2×jsl+b3×jxl; when the discarded object occupation area value DQZ is 6, the accumulated water depth value JSL is 6, and the accumulated water depth value JXL is 5, the cleaning value QLZ is 17 by calculating the cleaning function QLZ =b1× DQZ +b2×jsl+b3×jxl.
Comparing the defect value QXZ with a preset defect threshold a:
if the defect value QXZ is less than the preset defect threshold A, the staff is not required to be notified to repair the park pavement.
If the defect value QXZ is greater than or equal to the preset defect threshold A, the staff is required to be informed to repair the park pavement.
Here, the preset defect threshold a is set to 3, and in the case that the defect value QXZ is 2, because the defect value QXZ is smaller than the preset defect threshold a, the worker is not required to be notified to repair the park road, because the park road does not affect normal traffic; in the case of a defect value QXZ of 22, since the defect value QXZ > the preset defect threshold value a, the operator needs to be notified to repair the park road surface because the park road surface affects normal traffic.
Comparing the cleaning value QLZ with a preset cleaning threshold B:
if the cleaning value QLZ is smaller than the preset cleaning threshold value B, the environment-friendly staff is not required to clean the garden pavement.
If the cleaning value QLZ is more than or equal to the preset cleaning threshold B, an environment-friendly worker is required to clean the garden pavement.
Here set the clearance threshold value B that presets to 5, under the condition that clearance value QLZ is 3, because clearance value QLZ < clearance threshold value B that presets, then need not environmental protection staff clear up the gardens road surface, because the attachment on gardens road surface does not influence vehicle and pedestrian normal traffic this moment, under the condition that reason value QLZ is 17, because clearance value QLZ > preset clearance threshold value B, then need environmental protection staff clear up the gardens road surface, because the attachment on gardens road surface influences vehicle and pedestrian normal traffic this moment.
The processed value ZLZ is calculated by the processing function ZLZ =c1× QXZ +c2× QLZ; wherein c1 and c2 are influencing factors and are greater than zero.
Here, the values of c1 and c2 are set to 1, and when the defect value QXZ is 2 and the cleaning value QLZ is 3, the processing value ZLZ is calculated by the processing function ZLZ =c1× QXZ +c2× QLZ to be 5; in the case where the defect value QXZ is 22 and the cleaning value QLZ is 17, the processing value ZLZ is 39 by the processing function ZLZ =c1× QXZ +c2× QLZ.
Comparing the process value ZLZ with a preset process threshold Q:
if the treatment value ZLZ is less than the preset treatment threshold value Q, no staff is required to treat the campus road surface.
If the treatment value ZLZ is more than or equal to the preset treatment threshold value Q, a worker is required to treat the park pavement.
Setting the preset processing threshold value Q to 6, and under the condition that the processing value ZLZ is 5, as the processing value ZLZ is smaller than the preset processing threshold value Q, no staff is required to process the park road surface, and the staff is required to be reminded of processing the park road surface because normal traffic of the park road surface is not affected at the moment; in the case where the processed value ZLZ is 39, the processed value ZLZ > the preset processed threshold Q, the worker is required to process the park road surface because the normal traffic of the park road surface is affected at this time.
The defect positions of the park are classified into defect areas; dividing an area within a preset distance value range of a defect area into dangerous areas; and dividing the area outside the preset distance value range of the defect area into a safety area.
It should be noted that when a defect occurs on a park pavement, the defect position of the park is classified into a defect area, an area within the preset distance value of 0.5 m of the defect area is classified into a dangerous area, pedestrians and vehicles are prevented from falling into the dangerous area to cause safety accidents, and an area outside the preset distance value of 0.5 m of the defect area is classified into a safe area, namely, installation safety accidents of the pedestrians and the vehicles in the safe area do not need to be worried about.
And arranging a protective fence at the edge of the defect area.
Through setting up the rail guard at the edge in defect area, can be better prevent that vehicle and pedestrian from appearing the incident, can obtain the effect of safety guarantee precaution.
Distance information of the vehicle from the defective area in the running process and distance information of the pedestrian from the defective area in the running process are obtained.
It should be noted that, since the camera is installed in the park, the distance information of the vehicle from the defective area in the running process and the distance information of the pedestrian from the defective area in the running process can be obtained through the camera.
And (3) taking and marking the distance information of the vehicle from the defective area in the running process and the distance information of the pedestrian from the defective area in the running process to obtain a first distance value DIJ and a second distance value DEJ.
It should be noted that, if the distance from the defective area during the running of the vehicle is 0.1 meter, the value of the first distance value DIJ is 1, and if the distance from the defective area during the running of the vehicle is 0.5 meter, the value of the first distance value DIJ is 5; the second distance value DEJ has a value of 3 if the distance from the defective area during traveling of the pedestrian is 0.3 m, and a value of 1 if the distance from the defective area during traveling of the pedestrian is 0.1 m.
Comparing the first distance value DIJ with a preset first distance threshold L1:
if the first distance value DIJ is less than or equal to the preset first distance threshold L1, the vehicle needs to be reminded of safety.
If the first distance value DIJ is greater than the preset first distance threshold L1, the vehicle is not required to be reminded of safety.
It should be noted that, here, the first distance threshold L1 is set to 1.5, and when the value of the first distance value DIJ is 1, since the first distance value DIJ is smaller than the preset first distance threshold L1, the vehicle needs to be reminded of safety, which indicates that the vehicle may possibly drive to the inside of the defect area, and the potential safety hazard of the vehicle driving is affected, and meanwhile, since the broadcasting is installed in the park, the vehicle is reminded of driving through the broadcasting; under the condition that the value of the first distance value DIJ is 3, the vehicle is not required to be reminded of safety because the first distance value DIJ is larger than the preset first distance threshold value L1.
Comparing the second distance value DEJ with a preset second distance threshold L2:
if the second distance value DEJ is smaller than or equal to a preset second distance threshold L2, the pedestrian needs to be reminded of safety.
If the second distance value DEJ is greater than the preset second distance threshold L2, the pedestrian is not required to be reminded of safety.
Setting the second distance threshold L2 to 1.5, and under the condition that the value of the second distance value DEJ is 1, reminding pedestrians of safety because the second distance value DEJ is smaller than the preset second distance threshold L2, indicating that the pedestrians possibly enter the defect area to influence the potential safety hazard of walking of the pedestrians, and reminding the vehicles to pay attention to the traveling through broadcasting because broadcasting is installed in a park; under the condition that the value of the second distance value DEJ is 3, the pedestrian is not required to be reminded of safety because the second distance value DEJ is larger than the preset second distance threshold L2.
Example two
The following technical features are added on the basis of the first embodiment:
wisdom garden digital twin system, if clearance value QLZ is greater than or equal to the clearance threshold value B of predetermineeing, then need the environmental protection staff to clear up garden road surface, specifically does:
position information of park pavement attachments, position information of environment-friendly staff and workload information of the environment-friendly staff are acquired.
The distance value L of the environment-friendly staff from the park pavement attachments is calculated through the position information of the park pavement attachments and the position information of the environment-friendly staff.
The workload information of the environment-friendly staff is specifically a time value T1 required by the environment-friendly staff to finish the current workload.
By a time functionCalculating to obtain the time T2 required by each environment-friendly staff to walk to the position of the park pavement attachments; wherein V represents the walking speed of the environment-friendly staff.
And comparing the time T2 required by each environment-friendly staff to step to the position of the park pavement attachments, and reminding the environment-friendly staff with the minimum required time T2 to step to the park pavement attachments.
It should be noted that when more attachments appear on the park pavement, the environment-friendly staff needs to be reminded to clean the park pavement, the distance value L of the environment-friendly staff from the park pavement attachments is calculated through the position information of the park pavement attachments and the position information of the environment-friendly staff, the time T1 required by the current environment-friendly staff to process the ongoing work is acquired, and then a time function is passed throughCalculating to obtain the time T2 required by each environment-friendly staff to walk to the position of the park pavement attachments; compare every environmental protection staff's time T2 that goes to park road surface attachment to remind the minimum corresponding environmental protection staff of required time T2 to walk to park road surface attachment position, can reach the purpose of in time clearing up the park road surface.
The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above examples, and all technical solutions belonging to the concept of the present invention belong to the protection scope of the present invention. It should be noted that modifications and adaptations to the present invention may occur to one skilled in the art without departing from the principles of the present invention and are intended to be within the scope of the present invention.

Claims (8)

1. The intelligent park digital twin system is characterized by comprising a park road surface detection module, a road surface analysis module and a reminding module;
the park road surface detection module is used for acquiring defect information and attachment information of the park road surface;
the pavement analysis module performs joint processing analysis on the defect information and the attachment information of the pavement to obtain a processing value; the processing value comprises a defect value and a cleaning value, wherein the defect value is a value which is obtained by processing and analyzing the defect information of the road surface and used for representing the defect of the road surface, and the cleaning value is a value which is obtained by processing and analyzing the attachment information of the road surface and used for representing the attachment of the road surface;
the reminding module reminds workers of processing the pavement according to the processing value.
2. The smart park digital twinning system of claim 1, wherein the pavement defect information includes crack number information, collapse area information, and crack width information;
the pavement attachment information comprises discarded object information, accumulated water amount information and accumulated snow amount information.
3. The smart park digital twin system of claim 2, wherein the cracking quantity information, collapse area information, and cracking width information are valued and marked to obtain a cracking quantity value KLS, a collapse area value TXM, and a cracking width value YDZ;
and taking and marking the discarded object information, the accumulated water amount information and the accumulated snow amount information to obtain a discarded object occupied area value DQZ, an accumulated water amount depth value JSL and an accumulated snow amount depth value JXL.
4. The smart park digital twinning system of claim 3, wherein the defect value QXZ is calculated by a defect function QXZ = a1×kls+a2×txm+a3×yds; wherein a1, a2 and a3 are influencing factors and are greater than zero;
a cleaning value QLZ is calculated by a cleaning function QLZ =b1× DQZ +b2×jsl+b3×jxl; wherein b1, b2 and b3 are influencing factors and are greater than zero.
5. The smart park digital twinning system of claim 4, wherein the defect value QXZ is compared to a preset defect threshold a:
if the defect value QXZ is smaller than the preset defect threshold A, the staff is not required to be informed to repair the park pavement;
if the defect value QXZ is more than or equal to a preset defect threshold A, notifying a worker to repair the park pavement;
comparing the cleaning value QLZ with a preset cleaning threshold B:
if the cleaning value QLZ is smaller than the preset cleaning threshold B, cleaning of the garden pavement by environment-friendly staff is not needed;
if the cleaning value QLZ is more than or equal to the preset cleaning threshold B, an environment-friendly worker is required to clean the garden pavement.
6. The smart park digital twinning system of claim 5, wherein the processed value ZLZ is calculated by a processing function ZLZ = c1 x QXZ + c2 x QLZ; wherein c1 and c2 are influencing factors and are greater than zero;
comparing the process value ZLZ with a preset process threshold Q:
if the treatment value ZLZ is smaller than the preset treatment threshold value Q, the park pavement is not required to be treated by the staff;
if the treatment value ZLZ is more than or equal to the preset treatment threshold value Q, a worker is required to treat the park pavement.
7. The smart campus digital twin system of claim 6, wherein the locations of defects on the campus are generalized into defect areas; dividing an area within a preset distance value range of a defect area into dangerous areas; dividing an area outside a preset distance value range of the defect area into a safety area;
arranging a protective fence at the edge of the defect area;
acquiring distance information of a vehicle from a defective area in a running process and distance information of a pedestrian from the defective area in the running process;
the distance information of the distance defect area in the running process of the vehicle and the distance information of the distance defect area in the running process of the pedestrian are valued and marked to obtain a first distance value DIJ and a second distance value DEJ;
comparing the first distance value DIJ with a preset first distance threshold L1:
if the first distance value DIJ is less than or equal to a preset first distance threshold L1, reminding the vehicle of safety;
if the first distance value DIJ is greater than the preset first distance threshold L1, the vehicle is not required to be reminded of safety;
comparing the second distance value DEJ with a preset second distance threshold L2:
if the second distance value DEJ is less than or equal to a preset second distance threshold L2, reminding pedestrians of paying attention to safety;
if the second distance value DEJ is greater than the preset second distance threshold L2, the pedestrian is not required to be reminded of safety.
8. The intelligent park digital twin system according to claim 7, wherein if the cleaning value QLZ is greater than or equal to the preset cleaning threshold B, then the environment-friendly staff is required to clean the garden pavement, specifically:
acquiring position information of attachments on a park road surface, position information of environment-friendly staff and workload information of the environment-friendly staff;
calculating a distance value L of the environment-friendly staff from the park pavement attachments according to the position information of the park pavement attachments and the position information of the environment-friendly staff;
the workload information of the environment-friendly staff is specifically a time value T1 required by the environment-friendly staff to finish the current workload;
by a time functionCalculating to obtain the time T2 required by each environment-friendly staff to walk to the position of the park pavement attachments; wherein V represents the walking speed of the environment-friendly staff;
and comparing the time T2 required by each environment-friendly staff to step to the position of the park pavement attachments, and reminding the environment-friendly staff with the minimum required time T2 to step to the park pavement attachments.
CN202310809049.0A 2023-07-04 2023-07-04 Digital twin system for intelligent park Pending CN116862164A (en)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111705585A (en) * 2020-05-21 2020-09-25 中国路桥工程有限责任公司 Maintenance method for traffic infrastructure in severe environment
US20220009502A1 (en) * 2019-03-25 2022-01-13 Denso Corporation Road surface condition determination device for vehicle, driving assistance system, and road surface condition determination method
CN114693025A (en) * 2020-12-28 2022-07-01 广东飞企互联科技股份有限公司 Intelligent park maintenance method and system
CN115862327A (en) * 2022-11-28 2023-03-28 格瑞利(江苏)智能科技有限公司 Visual management system and method for intelligent park
CN115983527A (en) * 2022-12-23 2023-04-18 深圳鹏锐信息技术股份有限公司 Big data management system based on Internet of things

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20220009502A1 (en) * 2019-03-25 2022-01-13 Denso Corporation Road surface condition determination device for vehicle, driving assistance system, and road surface condition determination method
CN111705585A (en) * 2020-05-21 2020-09-25 中国路桥工程有限责任公司 Maintenance method for traffic infrastructure in severe environment
CN114693025A (en) * 2020-12-28 2022-07-01 广东飞企互联科技股份有限公司 Intelligent park maintenance method and system
CN115862327A (en) * 2022-11-28 2023-03-28 格瑞利(江苏)智能科技有限公司 Visual management system and method for intelligent park
CN115983527A (en) * 2022-12-23 2023-04-18 深圳鹏锐信息技术股份有限公司 Big data management system based on Internet of things

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