CN116433036B - Cloud-based labor supervision system and supervision method thereof - Google Patents
Cloud-based labor supervision system and supervision method thereof Download PDFInfo
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Abstract
The invention relates to the technical field of labor supervision, in particular to a cloud-based labor supervision system and a supervision method thereof. It includes a supervisory platform and a remedial action planning module. According to the invention, the supervision platform determines the position information of the supervision person according to the simulated site model and the personnel activity information in the site monitored by the monitoring equipment, and positions the positions of all the remedy points, the remedy measure planning module combines the positions of the abnormal personnel and the abnormal site, calls the supervision person closest to the abnormal personnel or the abnormal site as a response supervision person according to the position information of the supervision person, responds to the supervision person to plan a remedy route according to the positioned positions of all the remedy points, responds to the abnormal personnel and the abnormal site in time, plans corresponding remedy measures, improves the elimination efficiency of the abnormal personnel and the abnormal site, kills the abnormal situation in time, improves the safety coefficient of the personnel and reduces the site danger degree.
Description
Technical Field
The invention relates to the technical field of labor supervision, in particular to a cloud-based labor supervision system and a supervision method thereof.
Background
Because of the complexity of construction enterprises and construction sites, the construction sites often involve multiple subcontracting units, and a plurality of private and public attendance systems and devices, the data of the devices cannot be shared, the subcontracting units and the construction enterprises can not be uniformly managed, and the trouble is brought to the personnel management of the construction sites. At present, the construction sites have more dangerous scenes, and construction workers are required to carry out cognitive training on site equipment, safety marks, fire-fighting training, dangerous operation of the construction sites and high-altitude operation, and certain practical operation training experience is required.
The publication number CN111985776A discloses a cloud-based labor management system and a monitoring method thereof, belongs to the technical field of labor information monitoring, and comprises a labor management platform, a training layer, a business management layer, an information acquisition layer, a data application layer and an intelligent decision layer, wherein the intelligent decision layer comprises an assessment recording module and a junction approval module, the assessment recording module is used for recording assessment results of staff in real time, and the junction approval module is used for printing junction certificates for junction staff and pasting generated two-dimensional codes on safety caps of the junction staff. The intelligent decision layer is used for evaluating and judging the assessment results of the staff, and re-training the staff with unqualified training in the link so as to ensure the training effect of each staff and monitor the training quality of the staff.
In the scheme, assessment results of workers are mainly evaluated and qualified, but even if the workers are trained, as working time is continuously increased, a plurality of workers can relax vigilance, if illegal behaviors in the working process of the workers cannot be timely restrained, safety accidents are easy to occur in the long term, meanwhile, artificial illegal behaviors can exist on a construction site, abnormal conditions can occur due to equipment faults, and the abnormal conditions cannot be predicted and avoided.
In order to address the above problems, a cloud-based labor management system and a management method thereof are needed.
Disclosure of Invention
The invention aims to provide a cloud-based labor supervision system and a supervision method thereof, which are used for solving the problems in the background technology.
In order to achieve the above purpose, one of the purposes of the present invention is to provide a cloud-based labor supervision system, which comprises an identity recognition module, a site management and control monitoring module, a site topography simulation module, an abnormal situation response module, a remedial measure planning module and a supervision platform;
the identity recognition module is used for carrying out identity recognition on personnel entering the field;
the output end of the identity recognition module is connected with the input end of the site control monitoring module, and the site control monitoring module monitors the personnel activity information and the site working state in real time through monitoring equipment controlled on site;
the output end of the identity recognition module is also connected with the input end of the site topography simulation module, the input end of the site topography simulation module is connected with the output end of the site control monitoring module, and the site topography simulation module combines the site working state fed back by the monitoring equipment to simulate a site model in equal proportion so as to determine the route between each site building;
the field distribution control monitoring module output end is also connected with the abnormal condition response module output end, the abnormal condition response module input end is connected with the field topography simulation module output end, the abnormal condition response module formulates normal personnel characteristics and normal field characteristics, and captures abnormal personnel and abnormal fields through monitoring equipment in combination with personnel activity information and field working states in the field, and determines positions of the abnormal personnel and the abnormal fields according to the simulated field model;
the monitoring platform determines the position information of a supervisor according to the simulated site model and the personnel activity information in the site monitored by the monitoring equipment, and positions each remedy point at the same time;
the supervision platform output end is connected with the input end of the remedial measure planning module, the input end of the remedial measure planning module is connected with the output end of the abnormal situation response module, the remedial measure planning module combines the positions of abnormal personnel and abnormal sites, invokes a supervisor closest to the abnormal personnel or the abnormal sites as a response supervisor according to the position information of the supervisor, and the response supervisor selects the position of the closest remedial point as the position of the response remedial point according to the positioned positions of the remedial points, and then plans a remedial route through routes among buildings of the sites.
As a further improvement of the technical scheme, the field distribution control monitoring module comprises a monitoring point planning unit, a feedback time making unit and a captured image feedback unit;
the monitoring point planning unit is used for determining the positions of all monitoring devices in the field;
the output end of the monitoring point planning unit is connected with the input end of the feedback time making unit, the feedback time making unit makes unit feedback time, and each monitoring device feeds back a captured image at intervals of the unit feedback time;
the output end of the feedback time making unit is connected with the input end of the captured image feedback unit, and the captured image feedback unit is used for feeding back the captured image.
As a further improvement of the technical scheme, the site topography simulation module comprises a building feature point marking unit and a steering position identification unit, wherein the building feature point marking unit is used for determining feature points of all buildings of the site and distinguishing all the buildings, the output end of the building feature point marking unit is connected with the input end of the steering position identification unit, and the steering position identification unit is used for determining road information among all the buildings and marking the steering road.
As a further improvement of the technical scheme, the output end of the steering position identification unit is connected with a terrain real-time updating unit, and the terrain real-time updating unit is combined with a building flow to update building feature points in real time.
As a further improvement of the technical scheme, the abnormal condition response module comprises a characteristic comparison unit and an abnormal condition classification unit, wherein the characteristic comparison unit is used for determining the characteristics of each abnormal person and each abnormal place and comparing the characteristic with the characteristics of the normal person and the characteristics of the normal place to generate a comparison result, the output end of the characteristic comparison unit is connected with the input end of the abnormal condition classification unit, and the abnormal condition classification unit combines the comparison result to classify the abnormal person and the abnormal place.
As a further improvement of the technical scheme, the characteristic comparison unit adopts a characteristic analysis algorithm, and the algorithm formula is as follows:
；
；
；
wherein the method comprises the steps ofIs a feature point set corresponding to known abnormal personnel and abnormal places>To->For each characteristic point corresponding to known abnormal person and abnormal place, < + >>For the personnel who need to be compared at present, the corresponding characteristic point set of place, the +.>To->For each characteristic point corresponding to the person and place which need to be compared currently,is a feature comparison function->Is->And +.>Coincident feature points ++>For the threshold value of the coincident characteristic point, when the coincident characteristic point +.>Characteristic point threshold value less than coincidence +.>Feature comparison function->The output is 0, which indicates that the personnel and the places which are required to be compared at present do not belong to the abnormal personnel and the abnormal places which are compared, when the coincident characteristic points are +.>Not less than the coincident characteristic point threshold +.>Feature comparison function->And the output is 1, which indicates that the personnel and places which are required to be compared currently belong to the types of abnormal personnel and abnormal places for comparison.
As a further improvement of the technical scheme, the output end of the abnormal condition classification unit is connected with a corresponding remedy equipment matching unit, and the corresponding remedy equipment matching unit matches corresponding remedy equipment for abnormal personnel and abnormal places according to classification processing results.
As a further improvement of the technical scheme, the supervision platform comprises a supervision person position retrieval module and a remedy point positioning module, wherein the supervision person position retrieval module is used for determining geographic positions of abnormal persons and supervision persons near an abnormal place and performing priority matching according to the distance, and the remedy point positioning module is used for determining positions of the abnormal persons and remedy points near the abnormal place.
As a further improvement of the technical scheme, the input end of the supervisor position calling module is connected with the output end of the identity recognition module, and the identity recognition module is used for verifying supervisor identity information of each position.
The second object of the invention is to provide a supervision method based on a cloud labor supervision system, comprising the following steps:
s1, carrying out identity recognition on personnel entering a site through an identity recognition module;
s2, the site distribution control monitoring module monitors the personnel activity information and the site working state in the site in real time through a site monitoring picture fed back by the monitoring equipment;
s3, a site topography simulation module combines the site working state fed back by the monitoring equipment to simulate a site model in equal proportion, and routes among all site buildings are determined;
s4, an abnormal condition response module formulates normal personnel characteristics and normal site characteristics, combines the personnel activity information in the site and the site working state, captures abnormal personnel and the abnormal site through monitoring equipment, and determines the positions of the abnormal personnel and the abnormal site according to the simulated site model;
s5, the supervision platform determines the position information of the supervision person according to the simulated site model and the personnel activity information in the site monitored by the monitoring equipment, and positions each remedy point at the same time;
s6, combining the positions of the abnormal personnel and the abnormal sites, calling a supervisor closest to the abnormal personnel or the abnormal sites as a response supervisor according to the position information of the supervisor, selecting the position of the closest remedy point as the position of the response remedy point according to the positioned positions of the remedy points by the response supervisor, and planning a remedy route through routes among the buildings of the sites.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the cloud labor supervision system and the supervision method thereof, the supervision platform is used for determining the position information of a supervision person according to the simulated site model and the personnel activity information in the site monitored by the monitoring equipment, and simultaneously positioning the positions of all the remedy points, the remedy planning module is used for combining the positions of the abnormal personnel and the abnormal site, calling the supervision person closest to the abnormal personnel or the abnormal site as a response supervision person according to the position information of the supervision person, planning a remedy route according to the positioned positions of all the remedy points, timely responding to the abnormal personnel and the positions of the abnormal site, planning corresponding remedy measures, improving the elimination efficiency of the abnormal personnel and the abnormal site, timely killing the generation of the abnormal situation, improving the safety coefficient of the working personnel and simultaneously reducing the site danger degree.
2. According to the cloud-based labor supervision system and the supervision method thereof, the building characteristic points are updated in real time by combining the building flow through the terrain real-time updating unit, for example, the capping positions of the capped buildings are used as the characteristic points for recognition, so that a real-time remedy route can be provided for later remedy, characteristic point loss caused by building update is avoided, and route abnormality is easy to occur.
Drawings
FIG. 1 is a schematic overall structure of embodiment 1 of the present invention;
fig. 2 is a schematic structural diagram of a field control monitoring module according to embodiment 1 of the present invention;
FIG. 3 is a schematic diagram of a site topography simulation module according to embodiment 1 of the present invention;
fig. 4 is a schematic diagram of an abnormal situation response module structure according to embodiment 1 of the present invention.
The meaning of each reference sign in the figure is:
10. an identity recognition module;
20. a field control monitoring module; 210. a monitoring point planning unit; 220. a feedback time making unit; 230. a captured image feedback unit;
30. a site topography simulation module; 310. a building feature point marking unit; 320. a steering position recognition unit; 330. a terrain real-time updating unit;
40. an abnormal condition response module; 410. a feature comparison unit; 420. an abnormal situation classification unit; 430. a corresponding remediation device matching unit;
50. a remedial measure planning module;
60. a supervisor position retrieval module;
70. and a remedy point positioning module.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the apparatus or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention.
Example 1:
referring to fig. 1-4, one of the purposes of the present embodiment is to provide a cloud-based labor supervision system, which includes an identity recognition module 10, a site management and control monitoring module 20, a site topography simulation module 30, an abnormal situation response module 40, a remedial measure planning module 50 and a supervision platform;
the identity recognition module 10 is used for carrying out identity recognition on personnel entering the site;
the output end of the identity recognition module 10 is connected with the input end of the site control monitoring module 20, and the site control monitoring module 20 monitors the personnel activity information and the site working state in real time through site control monitoring equipment;
the output end of the identity recognition module 10 is also connected with the input end of the site topography simulation module 30, the input end of the site topography simulation module 30 is connected with the output end of the site management and control monitoring module 20, the site topography simulation module 30 combines the site working state fed back by the monitoring equipment to simulate a site model in equal proportion, and the route between each site building is determined;
the output end of the field distribution monitoring module 20 is also connected with the output end of the abnormal condition response module 40, the input end of the abnormal condition response module 40 is connected with the output end of the field topography simulation module 30, the abnormal condition response module 40 formulates normal personnel characteristics and normal field characteristics, and the abnormal personnel and the abnormal field are captured through the monitoring equipment by combining the personnel activity information and the field working state in the field, and the positions of the abnormal personnel and the abnormal field are determined according to the simulated field model;
the output end of the site topography simulation module 30 is connected with the input end of the supervision platform, and the supervision platform determines the position information of the supervision person according to the simulated site model and the personnel activity information in the site monitored by the monitoring equipment, and positions each remedy point at the same time;
the output end of the supervision platform is connected with the input end of the remedial measure planning module 50, the input end of the remedial measure planning module 50 is connected with the output end of the abnormal situation response module 40, the remedial measure planning module 50 combines the positions of abnormal personnel and abnormal sites, and according to the position information of the supervision person, the supervision person closest to the abnormal personnel or the abnormal sites is called as a response supervision person, the response supervision person selects the position of the closest remedial point to the response supervision person according to the positioned positions of the remedial points as the position of the response remedial point, and then the remedial route is planned through the route between the buildings of the sites.
When the method is specifically used, in the supervision work process of a site building, firstly, identity recognition is carried out on personnel entering the site through the identity recognition module 10, whether the personnel belong to site workers or supervision personnel is determined, before that, the site management and control monitoring module 20 monitors the site management and control monitoring equipment in the site, the site monitoring pictures fed back by the monitoring equipment are used for monitoring the activity information of personnel and the site work state in the site in real time, the fed back site monitoring pictures are transmitted to the site topography simulation module 30, the site topography simulation module 30 combines the site work state fed back by the monitoring equipment, a site model is simulated in an equal proportion, and the route between each site building is determined;
the abnormal situation response module 40 formulates normalcy personnel characteristics and normalcy field characteristics, normalcy personnel characteristics: the personnel or the supervision personnel who enter the field wear to meet the requirement, such as wearing safety helmets, wearing working clothes, wearing reflective vests, tidy wearing and the like, and also meet the requirement, such as being unable to make calls, smoking, going out and the like in the working process, and the normal field features: the construction site under the condition of no abnormality, such as open fire, bare soil and vehicle spraying condition according to the requirement and the like, when the abnormality is identified by personnel or sites identified by the abnormality response module 40, the abnormality response module 40 captures the abnormal personnel and sites through the monitoring equipment according to the simulated site model, and determines the positions of the abnormal personnel and sites, at the moment, the supervision platform determines the position information of the supervision person according to the simulated site model and the site personnel activity information monitored by the monitoring equipment, and positions each remedying point, namely the remedying point corresponds to the position of the abnormal personnel and the storage point of the abnormal feature processing equipment, for example, when the abnormal personnel is not wearing a safety helmet, the remedying point is provided with a safety helmet, and the supervision person carries the safety helmet to the position of the abnormal personnel;
the remedial measure planning module 50 then combines the positions of the abnormal personnel and the abnormal sites, calls the supervisor closest to the abnormal personnel or the abnormal sites as a response supervisor according to the position information of the supervisor, and the response supervisor selects the position of the closest remedial point as the position of the response remedial point according to the positioned positions of the remedial points, then passes through the route between the buildings of the sites, plans a remedial route, at the moment, the supervisor arrives at the remedial point according to the remedial route, carries equipment required for remediation to the positions of the abnormal personnel and the abnormal sites, carries out remedial measures, responds to the positions of the abnormal personnel and the abnormal sites in time, plans corresponding remedial measures, improves the removal efficiency of the abnormal personnel and the abnormal sites in time, kills the generation of abnormal situations in time, improves the safety coefficient of the personnel and reduces the site danger degree.
Further, the site deployment and control monitoring module 20 includes a monitoring point planning unit 210, a feedback time making unit 220, and a captured image feedback unit 230;
the monitoring point planning unit 210 is used for determining the positions of all monitoring devices in the field;
the output end of the monitoring point planning unit 210 is connected with the input end of the feedback time making unit 220. The feedback time making unit 220 makes a unit feedback time, and each monitoring device feeds back a captured image at intervals of the unit feedback time;
the output end of the feedback time making unit 220 is connected to the input end of the captured image feedback unit 230, and the captured image feedback unit 230 is used for feeding back the captured image.
When the system is specifically used, in the process of site monitoring, firstly, the positions of all monitoring devices of a site are determined through the monitoring point planning unit 210, the geographic positions of the monitoring areas corresponding to all the monitoring devices can be determined through the positions of the monitoring devices, a reference basis is provided for site model planning and staff position determination in the later stage, then the feedback time of units is formulated through the feedback time formulation unit 220, the units of the feedback time of all the monitoring devices are fed back for one time to capture images, and the captured image feedback unit 230 feeds back the captured images so as to be used for identifying abnormal sites and abnormal staff information through the captured images in the later stage.
Still further, the site topography simulation module 30 includes a building feature point marking unit 310 and a turning position identifying unit 320, the building feature point marking unit 310 determines feature points of each building of the site, and is used for distinguishing each building, an output end of the building feature point marking unit 310 is connected with an input end of the turning position identifying unit 320, the turning position identifying unit 320 is used for determining road information between each building, and marking a turned road, in the process of site topography simulation, firstly, feature points of each building of the site, such as scaffold layer number, building height, shape size and the like of a side surface of the building, are determined through the building feature point marking unit 310, and can be used as feature points of different buildings, and are used for distinguishing each building, the turning position identifying unit 320 is used for determining road information between each building, and marking the turned road for providing reference for later route planning.
Because the whole site is in construction, each building is continuously built, the characteristic points of the building disappear along with the building construction, meanwhile, some roads change in the building process, such as widening or narrowing, which can affect later-stage repairing route planning, specifically, the output end of the turning position identification unit 320 is connected with the terrain real-time updating unit 330, the terrain real-time updating unit 330 is combined with the building flow to update the building characteristic points in real time, the building characteristic points are updated in real time through the terrain real-time updating unit 330 combined with the building flow, for example, the capping positions of the capped buildings are identified as the characteristic points, so that a real-time repairing route can be provided for later-stage repairing, the occurrence of abnormal route conditions due to the fact that the characteristic points are lost due to building updating is avoided, and the abnormal condition of the route is easy to occur.
In addition, the abnormal situation response module 40 includes a feature comparison unit 410 and an abnormal situation classification unit 420, where the feature comparison unit 410 is configured to determine features of each abnormal person and each abnormal place, compare the features with features of normal persons and features of normal places, generate a comparison result, connect an output end of the feature comparison unit 410 with an input end of the abnormal situation classification unit 420, and perform classification processing on the abnormal person and the abnormal places by combining the comparison result, and in a process of performing response on the abnormal person and the abnormal places, firstly determine features of each abnormal person and the abnormal places by the feature comparison unit 410, and compare the features with features of the normal person and features of the normal places, for example, when the worker does not wear a safety helmet, the head does not recognize the features of the safety helmet, and compare the features of the worker carrying the safety helmet in normal places, that the worker can determine the abnormal situation corresponding to the abnormal person by the safety helmet, and then the abnormal situation classification unit 420 combines the comparison result, and performs classification processing on the abnormal person and the abnormal places, such as not wearing a work helmet, not smoking, not wearing a work helmet, and when the worker wearing a fire in the place.
In addition, the feature comparison unit 410 adopts a feature analysis algorithm, and the algorithm formula is as follows:
；
；
；
wherein the method comprises the steps ofIs a feature point set corresponding to known abnormal personnel and abnormal places>To->For each characteristic point corresponding to known abnormal person and abnormal place, < + >>For the personnel who need to be compared at present, the corresponding characteristic point set of place, the +.>To->For each characteristic point corresponding to the person and place which need to be compared currently,is a feature comparison function->Is->And +.>Coincident feature points ++>For the threshold value of the coincident characteristic point, when the coincident characteristic point +.>Characteristic point threshold value less than coincidence +.>Feature comparison function->The output is 0, which indicates that the personnel and the places which are required to be compared at present do not belong to the abnormal personnel and the abnormal places which are compared, when the coincident characteristic points are +.>Not less than the coincident characteristic point threshold +.>Feature comparison function->And the output is 1, which indicates that the personnel and places which are required to be compared currently belong to the types of abnormal personnel and abnormal places for comparison.
Further, the output end of the abnormal situation classifying unit 420 is connected with a corresponding remedying device matching unit 430, the corresponding remedying device matching unit 430 matches corresponding remedying devices for abnormal people and abnormal places according to the classification processing result, when the abnormal situation classifying unit 420 combines the comparison result to classify the abnormal people and the abnormal places, the corresponding remedying device matching unit 430 matches corresponding remedying devices for the abnormal people and the abnormal places according to the classification processing result, identifies the current abnormal people and the abnormal places, immediately transmits the matched remedying device information to the supervision personnel, does not need the supervision personnel to carry out remedying analysis, reduces response time and improves remedying efficiency.
Still further, the supervision platform includes a supervision location invoking module 60 and a remedy point positioning module 70, where the supervision location invoking module 60 is configured to determine the geographical locations of the supervision personnel and the supervision personnel near the exception location, and perform priority matching according to the distance between them, the remedy point positioning module 70 is configured to determine the locations of the remedy points near the exception personnel and the exception location, and in the supervision process, first determine the geographical locations of the supervision personnel and the supervision personnel near the exception location through the supervision location invoking module 60, and perform priority matching according to the distance between them, for example, three supervision personnel A, B and C, a is located near the exception personnel or the exception location, a is located 20m, b is located near the exception personnel or the exception location, C is located at a distance between them from the exception personnel or the exception location of 30m, at which the supervision personnel a has the highest priority, the supervision personnel a is used as a corresponding response personnel a of the exception personnel or the exception location, then, the remedy point positioning module 70 is configured to determine the location of the remedy point near the exception personnel and the exception location, and the closest supervision point to the supervision personnel or the exception location is used as a response point, for providing a response facility for the supervision personnel or the response personnel to the exception location.
Specifically, the input end of the supervisor position retrieving module 60 is connected with the output end of the identity recognition module 10, the identity recognition module 10 is used for verifying supervisor identity information of each position, and in the supervision process, the supervisor identity information of each position needs to be recognized and verified through the identity recognition module 10, so that the supervisor of each position is given with the supervision right, thereby preventing irrelevant personnel from impersonating the supervisor, and easily causing error in the remedy mode to affect the remedy efficiency.
The second purpose of the embodiment is to provide a supervision method based on a cloud labor supervision system, which comprises the following method steps:
s1, carrying out identity recognition on personnel entering a site through an identity recognition module 10;
s2, the site distribution control monitoring module 20 monitors the activity information of personnel in the site and the working state of the site in real time through a site monitoring picture fed back by the monitoring equipment;
s3, a site topography simulation module 30 combines site working states fed back by the monitoring equipment to simulate a site model in equal proportion, and routes among all site buildings are determined;
s4, an abnormal situation response module 40 establishes normal personnel characteristics and normal site characteristics, captures abnormal personnel and abnormal sites through monitoring equipment in combination with the personnel activity information and the site working state in the site, and determines the positions of the abnormal personnel and the abnormal sites according to the simulated site model;
s5, the supervision platform determines the position information of the supervision person according to the simulated site model and the personnel activity information in the site monitored by the monitoring equipment, and positions each remedy point at the same time;
s6, combining the positions of the abnormal personnel and the abnormal sites, calling a supervisor closest to the abnormal personnel or the abnormal sites as a response supervisor according to the position information of the supervisor, selecting the position of the closest remedy point as the position of the response remedy point according to the positioned positions of the remedy points by the response supervisor, and planning a remedy route through routes among buildings of the sites.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the above-described embodiments, and that the above-described embodiments and descriptions are only preferred embodiments of the present invention, and are not intended to limit the invention, and that various changes and modifications may be made therein without departing from the spirit and scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (1)
1. Based on high in clouds labor supervision system, its characterized in that: the system comprises an identity recognition module (10), a site management and control monitoring module (20), a site topography simulation module (30), an abnormal situation response module (40), a remedial measure planning module (50) and a supervision platform;
the identity recognition module (10) is used for carrying out identity recognition on personnel entering a site;
the output end of the identity recognition module (10) is connected with the input end of the site control monitoring module (20), and the site control monitoring module (20) monitors the personnel activity information and the site working state in real time through site control monitoring equipment;
the output end of the identity recognition module (10) is also connected with the input end of the site topography simulation module (30), the input end of the site topography simulation module (30) is connected with the output end of the site control monitoring module (20), the site topography simulation module (30) combines the site working state fed back by the monitoring equipment to simulate a site model in equal proportion, and routes among all site buildings are determined;
the output end of the field distribution monitoring module (20) is also connected with the output end of the abnormal situation response module (40), the input end of the abnormal situation response module (40) is connected with the output end of the field topography simulation module (30), the abnormal situation response module (40) formulates normal personnel characteristics and normal field characteristics, combines the personnel activity information in the field and the field working state, captures abnormal personnel and the abnormal field through monitoring equipment, and determines the positions of the abnormal personnel and the abnormal field according to the simulated field model;
the output end of the site topography simulation module (30) is connected with the input end of the supervision platform, and the supervision platform determines the position information of a supervisor according to the simulated site model and the site personnel activity information monitored by the monitoring equipment and positions each remedy point at the same time;
the monitoring platform output end is connected with the input end of the remedial measure planning module (50), the input end of the remedial measure planning module (50) is connected with the output end of the abnormal situation response module (40), the remedial measure planning module (50) combines the positions of abnormal personnel and abnormal sites, invokes a supervisor closest to the abnormal personnel or the abnormal sites as a response supervisor according to the position information of the supervisor, and the response supervisor selects the position of the closest remedial point as the position of the response remedial point according to the positioned positions of the remedial points, and then plans a remedial route through routes among the sites;
the field control monitoring module (20) comprises a monitoring point planning unit (210), a feedback time making unit (220) and a captured image feedback unit (230);
the monitoring point planning unit (210) is used for determining the positions of all monitoring devices in the field;
the output end of the monitoring point planning unit (210) is connected with the input end of the feedback time making unit (220), the feedback time making unit (220) makes unit feedback time, and each monitoring device feeds back a captured image at intervals of the unit feedback time;
the output end of the feedback time making unit (220) is connected with the input end of the captured image feedback unit (230), and the captured image feedback unit (230) is used for feeding back the captured image;
the site topography simulation module (30) comprises a building feature point marking unit (310) and a steering position identification unit (320), wherein the building feature point marking unit (310) is used for determining feature points of each building of a site and distinguishing each building, the output end of the building feature point marking unit (310) is connected with the input end of the steering position identification unit (320), and the steering position identification unit (320) is used for determining road information among each building and marking a road with steering;
the output end of the steering position identification unit (320) is connected with a terrain real-time updating unit (330), and the terrain real-time updating unit (330) is combined with a building flow to update building characteristic points in real time;
the abnormal condition response module (40) comprises a characteristic comparison unit (410) and an abnormal condition classification unit (420), wherein the characteristic comparison unit (410) is used for determining the characteristics of each abnormal person and each abnormal place and comparing the characteristics with the characteristics of normal persons and the characteristics of the normal places to generate a comparison result, the output end of the characteristic comparison unit (410) is connected with the input end of the abnormal condition classification unit (420), and the abnormal condition classification unit (420) combines the comparison result to classify the abnormal persons and the abnormal places;
the output end of the abnormal condition classification unit (420) is connected with a corresponding remedy equipment matching unit (430), and the corresponding remedy equipment matching unit (430) matches corresponding remedy equipment for abnormal personnel and abnormal places according to classification processing results;
the supervision platform comprises a supervision position retrieval module (60) and a remedy point positioning module (70), wherein the supervision position retrieval module (60) is used for determining geographic positions of abnormal personnel and supervision personnel near an abnormal place and performing priority matching according to the distance, and the remedy point positioning module (70) is used for determining the positions of the abnormal personnel and the remedy point near the abnormal place;
the input end of the supervisor position calling module (60) is connected with the output end of the identity recognition module (10), and the identity recognition module (10) is used for verifying supervisor identity information of each position;
the supervision method based on the cloud labor supervision system comprises the following method steps:
s1, carrying out identity recognition on personnel entering a site through an identity recognition module (10);
s2, a site distribution control monitoring module (20) monitors the personnel activity information and the site working state in the site in real time through a site monitoring picture fed back by monitoring equipment;
s3, a site topography simulation module (30) combines the site working state fed back by the monitoring equipment to simulate a site model in equal proportion, and routes among all site buildings are determined;
s4, an abnormal condition response module (40) establishes normal personnel characteristics and normal site characteristics, captures abnormal personnel and abnormal sites through monitoring equipment in combination with the personnel activity information and the site working state in the site, and determines the positions of the abnormal personnel and the abnormal sites according to the simulated site model;
s5, the supervision platform determines the position information of the supervision person according to the simulated site model and the personnel activity information in the site monitored by the monitoring equipment, and positions each remedy point at the same time;
s6, combining positions of the abnormal personnel and the abnormal sites, calling a supervisor closest to the abnormal personnel or the abnormal sites as a response supervisor according to the position information of the supervisor, selecting the position of the closest remedy point as the position of the response remedy point according to the positioned positions of the remedy points by the response supervisor, and planning a remedy route through routes among buildings of the sites.
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