CN111667583B - Intelligent passing verification system based on gate - Google Patents

Intelligent passing verification system based on gate Download PDF

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CN111667583B
CN111667583B CN202010420093.9A CN202010420093A CN111667583B CN 111667583 B CN111667583 B CN 111667583B CN 202010420093 A CN202010420093 A CN 202010420093A CN 111667583 B CN111667583 B CN 111667583B
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gate
model
information
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target object
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CN111667583A (en
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张金守
杨增荣
肖东波
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Shenzhen Rona Intelligent Technology Co ltd
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Abstract

The invention provides an automatic passage verification system based on a gate, which comprises: the establishing module is used for establishing a gate model, an object model and an environment model; the building module is used for building a virtual scene based on the environment model and automatically simulating dynamic information of a target object passing through a gate area based on the gate model and the object model in the virtual scene; the server is used for verifying whether the target object in the virtual scene passes the pass-through qualification or not based on the dynamic information, and if so, controlling the gate to be normally opened and closed; otherwise, screening unqualified information to match optimization information, optimizing the automatic simulation process according to the optimization information, and simultaneously, verifying again based on the corresponding optimized dynamic information and alarming for output. By adopting the mode of automatically simulating the dynamic information of the target object, the manual verification can be effectively avoided, the verification efficiency is improved, and the verification cost is reduced.

Description

Intelligent passing verification system based on gate
Technical Field
The invention relates to the technical field of gates, in particular to an intelligent passing verification system based on a gate.
Background
The gate, also called AFC, is a kind of channel barrier (channel management equipment), mainly apply to urban rail transit management, is used for managing the pedestrian stream and regulating the pedestrian to come in and go out, mainly apply to subway gate system, charge ticket gate system, its most basic most core function is to realize only one person of once, can be used for various charge, entrance guard entrance passage of occasion, the common gate system at present, it is the mode of swiping card, or the face identification, however, adopt this way, can't verify the behavioral gesture that users pass this channel, to confirm whether in the course of passing, because the behavioral gesture is not normal, cause the damage to the gate, and, generally verify the verification to the behavioral gesture is manual, therefore, the invention proposes an intelligent pass verification system based on gate.
Disclosure of Invention
The invention provides an intelligent traffic verification system based on a gate, which is used for effectively avoiding manual verification, improving verification efficiency and reducing verification cost by adopting a mode of automatically simulating dynamic information of a target object.
The invention provides an intelligent passing verification system based on a gate, which comprises:
the establishing module is used for establishing a gate model, an object model and an environment model;
the system comprises a building module, a gate area setting module and a dynamic information simulation module, wherein the building module is used for building a virtual scene based on an environment model and automatically simulating the dynamic information of a target object passing through the gate area based on a gate model and an object model in the virtual scene;
the server is used for verifying whether the target object in the virtual scene passes the pass based on the dynamic information, and if so, controlling the gate to be normally opened and closed;
otherwise, screening unqualified information to match optimization information, optimizing the automatic simulation process according to the optimization information, and simultaneously, verifying again based on the corresponding optimized dynamic information and alarming for output.
In one possible implementation manner, the establishing module includes:
the capturing unit is used for dynamically capturing the movement information of the target object in a preset area corresponding to the environment model in real time, and the movement information comprises: the position, the direction and the moving posture of each moving point of the target object in the passing process;
the first establishing unit is used for establishing an object model according to the movement information captured by the capturing unit;
the acquisition unit is used for statically acquiring the area point information of a preset area corresponding to the virtual scene in real time;
the second establishing unit is used for establishing an environment model according to the region point information acquired by the acquisition unit;
and the third establishing unit is used for acquiring the gate parameters from the gate database and establishing a gate model.
In one possible implementation, the building module includes:
the importing unit is used for importing the gate model and the object model;
the projection unit is used for projecting the constructed environment model to a gate area in a three-dimensional manner, and in the projection process, the size of the projection area is adaptively adjusted according to the area size of the gate area, and the projection area is rendered to obtain a virtual scene;
the simulation unit is used for automatically simulating dynamic information of a target object in a virtual scene and passing through a gate area based on a gate model and an object model, and the dynamic information comprises: the dynamic moving route of the target object and the real-time action posture of the target object in the moving process;
wherein the projected area is greater than the gate area.
In one possible implementation manner, the method further includes:
the input module is used for receiving a first adjusting instruction and a second adjusting instruction input by a monitoring object, adjusting the current position of a virtual gate corresponding to the gate model according to the first adjusting instruction based on an adjusting platform, and adjusting the size of an inlet and an outlet of the virtual gate according to the second adjusting instruction;
the server is further used for receiving an input virtual object after the virtual gate is adjusted, inputting N passing modes to the virtual object based on a passing specification database, and recording a passing result of the virtual object when the virtual object walks according to the passing modes;
meanwhile, according to the dynamic adjustment data, adjusting the passing mode corresponding to each recorded passing result, and controlling the virtual object to continue to walk according to the adjusted passing mode until the passing is qualified;
the server is further configured to perform superposition processing on all passing qualified passing modes to obtain maximum boundary information of the virtual object in a passing process, where the maximum boundary information includes: the left interface, the right interface, the upper interface and the lower interface of the maximum action amplitude of the virtual object when the virtual object passes through the virtual gate;
and limiting the passing boundary of the virtual object according to the maximum boundary information.
In one possible implementation manner, the method further includes:
a projection module for projecting a target aperture to a target object;
the server is further used for automatically recording first action characteristic point information lambda of a target object within a preset range from the gate in the simulation process when dynamic information of the target object passing through the gate area is automatically simulated based on the gate model and the object model`1iWherein i ═ 1,2, 3.., n; n represents the total number of first motion feature points, and a first motion evaluation value P1 of the target object is determined;
Figure BDA0002496631380000031
wherein J represents the number of times of change of the motion of the target object within a preset range from the gate; f. ofjRepresenting the corresponding motion amplitude value in the j-th motion change process; f. ofj+1Representing the corresponding motion amplitude value in the j +1 th motion change process; f. ofj+2Representing the corresponding motion amplitude value in the j +2 th motion change process; delta1iRepresenting an action boundary factor corresponding to the first action feature point information;
the server is further used for automatically recording second action characteristic point information lambda of the target object between the preset range boundary and the gate area boundary in the simulation process`2hWherein, h is 1,2, 3. m represents the total number of second motion characteristic points, determines a second motion evaluation value P2 of the target object, and retrieves a relevant motion prediction factor according to the second motion evaluation value P2
Figure BDA0002496631380000032
Figure BDA0002496631380000041
Wherein, H represents the action change times of the target object between the boundary of the preset range and the boundary of the gate area; f. ofj1Representing the corresponding motion amplitude value in the j1 th motion change process; f. ofj1+1Representing the corresponding motion amplitude value in the j1+1 th motion change process; f. ofj1+2Representing the corresponding motion amplitude value in the j1+2 th motion change process; delta2hRepresenting an action boundary factor corresponding to the second action feature point information;
the server is further used for calculating to obtain a final action evaluation value P according to the first action evaluation value and the prediction factor, and matching an entering action gesture entering the gate port according to the final action evaluation value P;
Figure BDA0002496631380000042
Figure BDA0002496631380000043
a∈[0,1],b∈[0,1];
wherein a, b represent constant values related to the motion gesture; rand denotes a random function;
when the entering action gesture meets the entering standard, controlling the projection module to be in a dormant state and controlling the gate opening to be opened or closed;
and when the entering action gesture does not meet the entering standard, controlling the projection module to start working and projecting a target aperture onto the target object.
In a possible implementation manner, the server is further configured to transmit a specification instruction to a display module disposed on the virtual gate to display specification information when the projection module is controlled to project a target aperture on the target object;
meanwhile, monitoring whether the target object regulates the self action according to the standard information within a preset time period, and if so, controlling the opening or closing of the gate machine port;
meanwhile, controlling the projection module to be in a dormant state;
otherwise, the projection module is controlled to work normally, and the alarm module is controlled to give an alarm.
In a possible implementation manner, the server is further configured to determine an unqualified program in the automatically simulated simulation program when the unqualified information is screened out, and optimize the unqualified program according to the matched optimization information to realize optimization of the automatic simulation process.
In one possible implementation manner, the server is further configured to monitor a simulation process in the automatic simulation process, where the simulation process includes: a model building process G1, a scene building process G2, a virtual simulation process G3 and a control opening and closing process G4;
the intelligent passing verification system further comprises:
the checking module is used for establishing a checking matrix G to check each simulation flow;
Figure BDA0002496631380000051
wherein g represents an inspection index value of the inspection matrix;
the calculation module is used for calculating a comprehensive correlation value E of the inspection index value and the simulation process;
E1=G1*Y(g11,g12,g13,g14);
E2=G2*Y(g21,g22,g23,g24);
E3=G3*Y(g31,g32,g33,g34);
E4=G4*Y(g41,g42,g43,g44);
Figure BDA0002496631380000052
wherein E1 represents model building flow and check index value g11,g12,g13,g14The correlation value of (a); e2 represents scene construction flow and inspection index value g21,g22,g23,g24The correlation value of (a); e3 represents the virtual simulation flow and inspection index value g31,g32,g33,g34The correlation value of (a); e4 denotes the control flow and inspection index value g41,g42,g43,g44The correlation value of (a);
Figure BDA0002496631380000053
a weight factor representing a model building process;
Figure BDA0002496631380000054
a weight factor representing a scene construction process;
Figure BDA0002496631380000055
a weight factor representing a virtual simulation flow;
Figure BDA0002496631380000056
a weight factor representing the flow of controlling the opening and closing;
and determining corresponding maintenance operation according to the comprehensive association factor E, E1, E2, E3 and E4, and transmitting the maintenance operation to a display module for displaying.
The invention has the beneficial effects that:
1. by adopting the mode of automatically simulating the dynamic information of the target object, the manual verification can be effectively avoided, the verification efficiency is improved, and the verification cost is reduced.
2. And the qualified passing modes are superposed, so that the passing boundary is convenient to determine.
3. The method comprises the steps of determining a second action evaluation value between a preset range boundary and a gate area boundary, calling a related action prediction factor, determining a first action evaluation value of a target object within a preset range away from a gate, determining a final action evaluation value by combining the prediction factor, and then intelligently matching an entering action gesture entering a gate opening.
4. By determining the simulation flows in the automatic simulation process and establishing the check matrixes related to the four simulation flows, the check matrixes comprise various check index factors, the comprehensive correlation values are conveniently and intelligently calculated by combining with the weight factors, and the corresponding maintenance operation is determined according to the comprehensive correlation factors E, E1, E2, E3 and E4, so that the maintenance optimization of the flows with faults in the system is facilitated, and the normal operation of the flows is ensured.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a block diagram of a gate-based intelligent traffic verification system according to an embodiment of the present invention;
FIG. 2 is a block diagram of a building block in an embodiment of the invention;
FIG. 3 is a block diagram of a building block in an embodiment of the invention;
FIG. 4 is a diagram illustrating a relationship between regions according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
The invention provides an intelligent passing verification system based on a gate, as shown in figure 1, comprising:
the establishing module is used for establishing a gate model, an object model and an environment model;
the system comprises a building module, a gate area setting module and a dynamic information simulation module, wherein the building module is used for building a virtual scene based on an environment model and automatically simulating the dynamic information of a target object passing through the gate area based on a gate model and an object model in the virtual scene;
the server is used for verifying whether the target object in the virtual scene passes the pass based on the dynamic information, and if so, controlling the gate to be normally opened and closed;
otherwise, screening unqualified information to match optimization information, optimizing the automatic simulation process according to the optimization information, and simultaneously, verifying again based on the corresponding optimized dynamic information and alarming for output.
The working principle of this embodiment is: establishing a gate model (including a gate body and a gate door, the size and the position of which can be adjusted at will), an object model (a target object and various action states of the target object in the moving process) and an environment model (a current environment including the gate, such as an office building in-out environment and a subway in-out environment), establishing a virtual scene (three-dimensionally projecting the environment model to form a projection surface to form a projection environment, namely a virtual scene, which includes a gate area), simulating dynamic information of the target object passing through the gate area according to the gate model and the object model (since various action states of the target object in the moving project are simulated in advance and whether the action point in the gate area is qualified or not according to each simulated action point in the moving process), if all the action points are qualified, the passing is judged to be qualified, otherwise, unqualified action points (various gesture actions such as arm swinging action, leg kicking action, yielding action, carrying action and the like) are obtained, and if the action points exist, the method comprises the following steps: 1,2,3,4,5,; and if the action point 4 is not qualified, screening the action point 4, for example, an action program corresponding to the action point 4, matching and optimizing the action program, namely intelligently modifying the action program, and verifying the action program again until the action point is qualified, so that the pass verification efficiency is improved, the user behavior is normalized, and a data basis is provided for applying the action program to an actual gate system in the future.
The beneficial effects of the above technical scheme are: by adopting the mode of automatically simulating the dynamic information of the target object, the manual verification can be effectively avoided, the verification efficiency is improved, and the verification cost is reduced.
The invention provides an intelligent passing verification system based on a gate, as shown in fig. 2, an establishing module comprises:
the capturing unit is used for dynamically capturing the movement information of the target object in a preset area corresponding to the environment model in real time, and the movement information comprises: the position, the direction and the moving posture of each moving point of the target object in the passing process;
the first establishing unit is used for establishing an object model according to the movement information captured by the capturing unit;
the acquisition unit is used for statically acquiring the area point information of a preset area corresponding to the virtual scene in real time;
the second establishing unit is used for establishing an environment model according to the region point information acquired by the acquisition unit;
and the third establishing unit is used for acquiring the gate parameters from the gate database and establishing a gate model.
The working principle of this embodiment is: the method comprises the steps of dynamically capturing movement information (action postures of all moving points, such as the position, the direction and the moving posture of each moving point) of a target object in a preset area (such as a three-dimensional projection area corresponding to an environment model, comprising the external postures of all parts of a body, dynamically acquiring and improving acquisition efficiency because the target object moves in real time), establishing an object model according to the movement information, statically acquiring, presetting area point information (area three-dimensional points) of the area, establishing an environment model (static acquisition because the preset area is static, and acquiring the actual environment including a gate and three-dimensionally projecting the acquired area point information to effectively simulate the reality of a virtual scene) and establishing a gate model, namely acquiring gate parameters from a gate database (because each gate has a corresponding design structure model, therefore, the model and associated parameters are invoked to construct a gate model).
The beneficial effects of the above technical scheme are: the dynamic and static combination collection can improve the collection efficiency, effectively improve the authenticity of a virtual scene by establishing an environment model, improve the reliability of verification by establishing an object model, and provide a foundation for a verification system by establishing a gate model.
The invention provides an intelligent passing verification system based on a gate, as shown in fig. 3, the construction module comprises:
the importing unit is used for importing the gate model and the object model;
the projection unit is used for projecting the constructed environment model to a gate area in a three-dimensional manner, and in the projection process, the size of the projection area is adaptively adjusted according to the area size of the gate area, and the projection area is rendered to obtain a virtual scene;
the simulation unit is used for automatically simulating dynamic information of a target object in a virtual scene and passing through a gate area based on a gate model and an object model, and the dynamic information comprises: the dynamic moving route of the target object and the real-time action posture of the target object in the moving process;
wherein the projected area is greater than the gate area.
The working principle of this embodiment is: through projecting the environmental model three-dimensionally to the floodgate machine region, and through carrying out adaptability adjustment to the floodgate machine region, guarantee that the projection area is complete to cover on the floodgate machine region, and through the processing of rendering up to the projection region, improve the authenticity of virtual scene, the relevant target object of last dynamic model just passes through the regional dynamic information of floodgate machine in virtual scene.
The beneficial effects of the above technical scheme are: the environment model is subjected to three-dimensional projection and rendering, so that the reality of the virtual scene is improved, and a data basis is provided for passage verification.
The invention provides an intelligent passing verification system based on a gate, which further comprises:
the input module is used for receiving a first adjusting instruction and a second adjusting instruction input by a monitoring object, adjusting the current position of a virtual gate corresponding to the gate model according to the first adjusting instruction based on an adjusting platform, and adjusting the size of an inlet and an outlet of the virtual gate according to the second adjusting instruction;
the server is further used for receiving an input virtual object after the virtual gate is adjusted, inputting N passing modes to the virtual object based on a passing specification database, and recording a passing result of the virtual object when the virtual object walks according to the passing modes;
meanwhile, according to the dynamic adjustment data, adjusting the passing mode corresponding to each recorded passing result, and controlling the virtual object to continue to walk according to the adjusted passing mode until the passing is qualified;
the server is further configured to perform superposition processing on all passing qualified passing modes to obtain maximum boundary information of the virtual object in a passing process, where the maximum boundary information includes: the left interface, the right interface, the upper interface and the lower interface of the maximum action amplitude of the virtual object when the virtual object passes through the virtual gate;
and limiting the passing boundary of the virtual object according to the maximum boundary information.
The working principle of this embodiment is: the method comprises the steps of receiving dynamic adjustment (such as position adjustment and size adjustment) of a virtual gate (a gate body and a gate), after the adjustment is finished, receiving an input virtual object (a target object which is virtual), inputting a passing mode in N (the passing mode is preset, and the virtual object can pass according to the passing mode), recording passing results (passing is qualified or unqualified) of each passing mode, and performing superposition processing on the passing modes which pass qualified (according to action postures in all passing processes corresponding to the qualified passing modes, the maximum boundary information allowed in the passing process can be determined), so that the passing boundary is effectively determined.
In this embodiment, if the two passing modes are qualified, the shape boundaries of the action points corresponding to one of the two passing modes are established, and the shape boundaries are fused to obtain the maximum shape boundary, which is the maximum boundary information.
The beneficial effects of the above technical scheme are: the virtual gate is adjusted to ensure the reliability of verification, and the qualified passing modes are overlapped to facilitate the determination of the passing boundary, so that a boundary verification mode is provided for the verification system, the accuracy and the reliability of verification are improved, and the verification efficiency is also improved.
The invention provides an intelligent passing verification system based on a gate, which further comprises:
a projection module for projecting a target aperture to a target object;
the server is further used for automatically recording first action characteristic point information lambda of a target object within a preset range from the gate in the simulation process when dynamic information of the target object passing through the gate area is automatically simulated based on the gate model and the object model`1iWherein i ═ 1,2, 3.., n; n represents the total number of first motion feature points, and a first motion evaluation value P1 of the target object is determined;
Figure BDA0002496631380000111
wherein J represents the number of times of change of the motion of the target object within a preset range from the gate; f. ofjRepresents the corresponding action amplitude in the j action change processA value; f. ofj+1Representing the corresponding motion amplitude value in the j +1 th motion change process; f. ofj+2Representing the corresponding motion amplitude value in the j +2 th motion change process; delta1iRepresenting an action boundary factor corresponding to the first action feature point information;
the server is further used for automatically recording second action characteristic point information lambda of the target object between the preset range boundary and the gate area boundary in the simulation process`2hWherein, h is 1,2, 3. m represents the total number of second motion characteristic points, determines a second motion evaluation value P2 of the target object, and retrieves a relevant motion prediction factor according to the second motion evaluation value P2
Figure BDA0002496631380000112
Figure BDA0002496631380000113
Wherein, H represents the action change times of the target object between the boundary of the preset range and the boundary of the gate area; f. ofj1Representing the corresponding motion amplitude value in the j1 th motion change process; f. ofj1+1Representing the corresponding motion amplitude value in the j1+1 th motion change process; f. ofj1+2Representing the corresponding motion amplitude value in the j1+2 th motion change process; delta2hRepresenting an action boundary factor corresponding to the second action feature point information;
the server is further used for calculating to obtain a final action evaluation value P according to the first action evaluation value and the prediction factor, and matching an entering action gesture entering the gate port according to the final action evaluation value P;
Figure BDA0002496631380000114
Figure BDA0002496631380000115
a∈[0,1],b∈[0,1];
wherein a, b represent constant values related to the motion gesture; rand denotes a random function;
when the entering action gesture meets the entering standard, controlling the projection module to be in a dormant state and controlling the gate opening to be opened or closed;
and when the entering action gesture does not meet the entering standard, controlling the projection module to start working and projecting a target aperture onto the target object.
In this embodiment, as shown in fig. 4, the target object is a1, the range gate a5 is within a predetermined range, the corresponding predetermined range is a2, and the predetermined range boundary is A3 and the gate zone boundary is a4 (gate peripheral boundary), wherein the gate zone boundary range includes the predetermined range.
The beneficial effects of the above technical scheme are: the method comprises the steps of determining a second action evaluation value between a preset range boundary and a gate area boundary, calling a related action prediction factor, determining a first action evaluation value of a target object within a preset range away from a gate, determining a final action evaluation value by combining the prediction factor, and then intelligently matching an entering action gesture entering a gate opening.
The invention provides an intelligent passing verification system based on a gate, wherein a server is also used for transmitting a specification instruction to a display module arranged on a virtual gate and displaying specification information when a projection module is controlled to project a target aperture on a target object;
meanwhile, monitoring whether the target object regulates the self action according to the standard information within a preset time period, and if so, controlling the opening or closing of the gate machine port;
meanwhile, controlling the projection module to be in a dormant state;
otherwise, the projection module is controlled to work normally, and the alarm module is controlled to give an alarm.
In the embodiment, when the action posture of the target object is unqualified, the aperture is projected to the target object, and the specification information is displayed on the display module by transmitting the specification instruction, wherein the specification information specifies that the current action point is within a certain boundary range, the system automatically extracts the keyword (within the certain boundary range), and performs related keyword modification on the program of the unqualified action point, so that the efficiency is improved.
In this embodiment, the alarm warning, such as voice alarm, is qualified after the action is standardized, and the like.
The beneficial effects of the above technical scheme are: by displaying the standard information to the display module of the virtual gate, the target object can conveniently carry out action specification according to the virtual standard, and the passing verification efficiency is improved.
The invention provides an intelligent passing verification system based on a gate machine, wherein a server is also used for determining an unqualified program in an automatic simulation program when unqualified information is screened out, and optimizing the unqualified program according to matched optimization information to realize optimization of the automatic simulation process.
The beneficial effects of the above technical scheme are: by optimizing the program, the passing verification efficiency is effectively improved.
The invention provides an intelligent passing verification system based on a gate, wherein a server is also used for monitoring a simulation process in an automatic simulation process, and the simulation process comprises the following steps: a model building process G1, a scene building process G2, a virtual simulation process G3 and a control opening and closing process G4;
the intelligent passing verification system further comprises:
the checking module is used for establishing a checking matrix G to check each simulation flow;
Figure BDA0002496631380000131
wherein g represents an inspection index value of the inspection matrix;
the calculation module is used for calculating a comprehensive correlation value E of the inspection index value and the simulation process;
E1=G1*Y(g11,g12,g13,g14);
E2=G2*Y(g21,g22,g23,g24);
E3=G3*Y(g31,g32,g33,g34);
E4=G4*Y(g41,g42,g43,g44);
Figure BDA0002496631380000132
wherein E1 represents model building flow and check index value g11,g12,g13,g14The correlation value of (a); e2 represents scene construction flow and inspection index value g21,g22,g23,g24The correlation value of (a); e3 represents the virtual simulation flow and inspection index value g31,g32,g33,g34The correlation value of (a); e4 denotes the control flow and inspection index value g41,g42,g43,g44The correlation value of (a);
Figure BDA0002496631380000133
a weight factor representing a model building process;
Figure BDA0002496631380000134
a weight factor representing a scene construction process;
Figure BDA0002496631380000141
a weight factor representing a virtual simulation flow;
Figure BDA0002496631380000142
a weight factor representing the flow of controlling the opening and closing;
and determining corresponding maintenance operation according to the comprehensive association factor E, E1, E2, E3 and E4, and transmitting the maintenance operation to a display module for displaying.
Maintenance operation in this embodiment, if when the floodgate door-trip and closed became invalid, confirm maintenance operation, maintain it, show maintenance operation, firstly for convenience, when this system was applied to the actual scene, the maintenance personal of being convenient for was in time effectively maintained, secondly, based on this system, be convenient for extract maintenance operation, and then carry out intelligent maintenance and resume.
In the embodiment, the check indexes are respectively related to a model building process G1, a scene building process G2, a virtual simulation process G3 and a control opening and closing process G4;
such as: the four sub-process programs in each process respectively correspond to the inspection indexes, such as: for the model building process, the method comprises the following steps: the method comprises the following steps of (1) checking an object model, an environment model, an object model and comprehensive checking indexes of three models; the scene construction process comprises the following steps: three-dimensional projection check indexes, projection point check indexes, projection coverage check indexes and projection direction check indexes; for the virtual simulation process, the following steps are carried out: a gate inspection index, a scene inspection index, an object inspection index, and a movement action inspection index; the control of the opening and closing processes comprises the following steps: the method comprises the following steps of gate control on logic inspection indexes, gate control off logic inspection indexes, gate overall operation smoothness inspection indexes and gate electric energy inspection indexes.
The beneficial effects of the above technical scheme are: by determining the simulation flows in the automatic simulation process and establishing the check matrixes related to the four simulation flows, the check matrixes comprise various check index factors, the comprehensive correlation values are conveniently and intelligently calculated by combining with the weight factors, and the corresponding maintenance operation is determined according to the comprehensive correlation factors E, E1, E2, E3 and E4, so that the maintenance optimization of the flows with faults in the system is facilitated, and the normal operation of the flows is ensured.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (7)

1. An intelligent pass verification system based on a gate, comprising:
the establishing module is used for establishing a gate model, an object model and an environment model;
the system comprises a building module, a gate area setting module and a dynamic information simulation module, wherein the building module is used for building a virtual scene based on an environment model and automatically simulating the dynamic information of a target object passing through the gate area based on a gate model and an object model in the virtual scene;
the server is used for verifying whether the target object in the virtual scene passes the pass based on the dynamic information, and if so, controlling the gate to be normally opened and closed;
otherwise, screening unqualified information to match optimization information, optimizing the automatic simulation process according to the optimization information, and simultaneously, verifying again based on the corresponding optimized dynamic information and alarming for output;
the server is further used for monitoring a simulation process in the automatic simulation process, and the simulation process comprises the following steps: a model building process G1, a scene building process G2, a virtual simulation process G3 and a control opening and closing process G4;
the intelligent passing verification system further comprises:
the checking module is used for establishing a checking matrix G to check each simulation flow;
Figure FDA0002957695190000011
wherein g represents an inspection index value of the inspection matrix;
the calculation module is used for calculating a comprehensive correlation value E of the inspection index value and the simulation process;
E1=G1*Y(g11,g12,g13,g14);
E2=G2*Y(g21,g22,g23,g24);
E3=G3*Y(g31,g32,g33,g34);
E4=G4*Y(g41,g42,g43,g44);
Figure FDA0002957695190000012
wherein E1 represents model building flow and check index value g11,g12,g13,g14The correlation value of (a); e2 represents scene construction flow and inspection index value g21,g22,g23,g24The correlation value of (a); e3 represents the virtual simulation flow and inspection index value g31,g32,g33,g34The correlation value of (a); e4 denotes the control flow and inspection index value g41,g42,g43,g44The correlation value of (a);
Figure FDA0002957695190000021
a weight factor representing a model building process;
Figure FDA0002957695190000022
a weight factor representing a scene construction process;
Figure FDA0002957695190000023
a weight factor representing a virtual simulation flow;
Figure FDA0002957695190000024
a weight factor representing the flow of controlling the opening and closing;
and determining corresponding maintenance operation according to the comprehensive association factor E, E1, E2, E3 and E4, and transmitting the maintenance operation to a display module for displaying.
2. The intelligent transit verification system of claim 1, wherein the establishment module comprises:
the capturing unit is used for dynamically capturing the movement information of the target object in a preset area corresponding to the environment model in real time, and the movement information comprises: the position, the direction and the moving posture of each moving point of the target object in the passing process;
the first establishing unit is used for establishing an object model according to the movement information captured by the capturing unit;
the acquisition unit is used for statically acquiring the area point information of a preset area corresponding to the virtual scene in real time;
the second establishing unit is used for establishing an environment model according to the region point information acquired by the acquisition unit;
and the third establishing unit is used for acquiring the gate parameters from the gate database and establishing a gate model.
3. The verification system for smart passes of claim 1, wherein the building module comprises:
the importing unit is used for importing the gate model and the object model;
the projection unit is used for projecting the constructed environment model to a gate area in a three-dimensional manner, and in the projection process, the size of the projection area is adaptively adjusted according to the area size of the gate area, and the projection area is rendered to obtain a virtual scene;
the simulation unit is used for automatically simulating dynamic information of a target object in a virtual scene and passing through a gate area based on a gate model and an object model, and the dynamic information comprises: the dynamic moving route of the target object and the real-time action posture of the target object in the moving process;
wherein the projected area is greater than the gate area.
4. The intelligent traffic verification system of claim 1, further comprising:
the input module is used for receiving a first adjusting instruction and a second adjusting instruction input by a monitoring object, adjusting the current position of a virtual gate corresponding to the gate model according to the first adjusting instruction based on an adjusting platform, and adjusting the size of an inlet and an outlet of the virtual gate according to the second adjusting instruction;
the server is further used for receiving an input virtual object after the virtual gate is adjusted, inputting N passing modes to the virtual object based on a passing specification database, and recording a passing result of the virtual object when the virtual object walks according to the passing modes;
meanwhile, according to the dynamic adjustment data, adjusting the passing mode corresponding to each recorded passing result, and controlling the virtual object to continue to walk according to the adjusted passing mode until the passing is qualified;
the server is further configured to perform superposition processing on all passing qualified passing modes to obtain maximum boundary information of the virtual object in a passing process, where the maximum boundary information includes: the left interface, the right interface, the upper interface and the lower interface of the maximum action amplitude of the virtual object when the virtual object passes through the virtual gate;
and limiting the passing boundary of the virtual object according to the maximum boundary information.
5. The intelligent traffic verification system of claim 1, further comprising:
a projection module for projecting a target aperture to a target object;
the server is further used for automatically recording first action characteristic point information lambda of a target object within a preset range from the gate in the simulation process when dynamic information of the target object passing through the gate area is automatically simulated based on the gate model and the object model`1iWherein i ═ 1,2, 3.., n; n represents the total number of first motion feature points, and a first motion evaluation value P1 of the target object is determined;
Figure FDA0002957695190000031
wherein J represents the number of times of change of the motion of the target object within a preset range from the gate; f. ofjRepresenting the corresponding motion amplitude value in the j-th motion change process; f. ofj+1Representing the corresponding motion amplitude value in the j +1 th motion change process; f. ofj+2Representing the corresponding motion amplitude value in the j +2 th motion change process; delta1iRepresenting an action boundary factor corresponding to the first action feature point information;
the server is further used for automatically recording second action characteristic point information lambda of the target object between the preset range boundary and the gate area boundary in the simulation process`2hWherein, h is 1,2, 3. m represents the total number of second motion characteristic points, determines a second motion evaluation value P2 of the target object, and retrieves a relevant motion prediction factor according to the second motion evaluation value P2
Figure FDA0002957695190000044
Figure FDA0002957695190000041
Wherein, H represents the action change times of the target object between the boundary of the preset range and the boundary of the gate area; f. ofj1Representing the corresponding motion amplitude value in the j1 th motion change process; f. ofj1+1Representing the corresponding motion amplitude value in the j1+1 th motion change process; f. ofj1+2Representing the corresponding motion amplitude value in the j1+2 th motion change process; delta2hRepresenting an action boundary factor corresponding to the second action feature point information;
the server is further used for calculating to obtain a final action evaluation value P according to the first action evaluation value and the prediction factor, and matching an entering action gesture entering the gate port according to the final action evaluation value P;
Figure FDA0002957695190000042
Figure FDA0002957695190000043
a∈[0,1],b∈[0,1];
wherein a, b represent constant values related to the motion gesture; rand denotes a random function;
when the entering action gesture meets the entering standard, controlling the projection module to be in a dormant state and controlling the gate opening to be opened or closed;
and when the entering action gesture does not meet the entering standard, controlling the projection module to start working and projecting a target aperture onto the target object.
6. The intelligent traffic verification system of claim 5,
the server is also used for transmitting a specification instruction to a display module arranged on the virtual gate machine and displaying specification information when the projection module is controlled to project a target aperture on the target object;
meanwhile, monitoring whether the target object regulates the self action according to the standard information within a preset time period, and if so, controlling the opening or closing of the gate machine port;
meanwhile, controlling the projection module to be in a dormant state;
otherwise, the projection module is controlled to work normally, and the alarm module is controlled to give an alarm.
7. The intelligent traffic verification system of claim 1,
and the server is also used for determining an unqualified program in the automatically simulated simulation program when the unqualified information is screened out, and optimizing the unqualified program according to the matched optimization information to realize the optimization of the automatic simulation process.
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