VR-based environment monitoring assessment method, apparatus and device, and medium

Abstract

The invention relates to an environment monitoring assessment method, device and equipment based on VR and a medium, and belongs to the field of environment monitoring. The method comprises the following steps: establishing an environment monitoring assessment simulation scene; a user enters the environment monitoring assessment simulation scene through the VR equipment, environment monitoring assessment is carried out under interference of the interference scene, and the environment monitoring assessment comprises unorganized monitoring suitability assessment, wind speed and direction measurement assessment, stink pollution source positioning assessment, downwind distribution assessment and instrument operation assessment. According to the invention, VR is applied to assessment of the whole odor concentration sampling process, and standardization of the odor concentration sampling process and standardization of sampling operation are realized.

Description

Technical Field

[0001] The present invention belongs to the technical field of environmental monitoring, and in particular relates to a VR-based environmental monitoring assessment method, device, equipment and medium. Background Art

[0002] Odor on-site sampling assessment is an important task in the field of environmental monitoring. It involves a comprehensive assessment of the professional knowledge, skills and operating specifications of sampling personnel. At present, the odor on-site sampling assessment is mainly based on operation demonstration and on-site questioning. There are problems such as inconsistent assessment gestures by experts, narrow coverage of assessment content, low assessment efficiency, and inability to carry out large-scale centralized assessment: (1) The assessment experts have different gestures. Due to the uneven level of assessment experts, there are differences in the focus of on-site assessments, and the individual evaluation standards cannot be unified, which makes on-site assessments There are many uncertainties. (2) The assessment efficiency needs to be improved. Since the selection of on-site assessment sites is usually selected by the assessed units, the assessment sites are relatively arbitrary. The assessment sites are mostly outdoor environments and are easily restricted by weather conditions. In addition, the on-site assessment test is mainly "one-to-one" and has not adopted a large-scale unified assessment model. The above factors have led to low assessment efficiency. (3) The assessment content is not comprehensive enough. The current assessment situation is that there are many assessed personnel, few assessment experts, and limited assessment time for each person, resulting in the inability to cover all assessment points. Moreover, the original assessment model focused on instrument operation, and the monitoring point distribution content was usually assessed through oral inquiries. The inquiries were basically derived from some fragments in the standards, which was more like a theoretical assessment and could not better reflect the examinee's ability in monitoring point distribution. Summary of the invention

[0003] In order to solve the above problems existing in the prior art, the present invention provides a VR-based environmental monitoring and assessment method, device, equipment and medium.

[0004] The purpose of the present invention can be achieved through the following technical solutions:

[0005] A VR-based environmental monitoring and assessment method, the implementation of which includes the following steps:

[0006] Build a simulation scenario for environmental monitoring and assessment;

[0007] The user enters the environmental monitoring assessment simulation scene through the VR device and conducts the environmental monitoring assessment under the interference of the interference scene. The environmental monitoring assessment includes the assessment of the suitability of unorganized monitoring, the assessment of wind speed and direction measurement, the assessment of the location of the source of odor pollution, the assessment of the downwind point layout, and the assessment of instrument operation.

[0008] Preferably, the construction of the environmental monitoring assessment simulation scenario includes:

[0009] Acquire simulation scene construction data, wherein the simulation scene construction data includes odor pollution source data, odor gas data, environmental data, and interference item data;

[0010] The environmental monitoring assessment simulation scenario is constructed based on the simulation scenario construction data.

[0011] Preferably, the step of building the environmental monitoring assessment simulation scenario based on the simulation scenario building data includes:

[0012] Based on the odor pollution source data, the odor pollution source is projected onto a virtual scene by using holographic projection technology, and based on the odor gas data, the odor gas diffusion process is simulated;

[0013] Simulating the on-site environment based on the environmental data, including wind speed simulation, wind direction simulation, temperature simulation, humidity simulation, and atmospheric pressure simulation;

[0014] The interference scenario is simulated based on the interference item data.

[0015] Preferably, the environmental monitoring assessment includes:

[0016] Obtaining environmental monitoring assessment questions, and conducting the unorganized monitoring suitability assessment based on the environmental monitoring assessment questions;

[0017] The wind speed and wind direction measurement assessment includes wind speed measurement time assessment, wind speed measurement accuracy assessment, and wind direction measurement accuracy assessment. The wind speed measurement time assessment is performed by obtaining the time when the user performs wind speed measurement, the wind speed measurement accuracy assessment is performed by comparing the preset simulated wind speed value with the user's wind speed measurement value, and the wind direction measurement accuracy assessment is performed by comparing the preset simulated wind direction with the user's measured wind direction;

[0018] The odor pollution source location assessment is an assessment of the accuracy of the user's location of the odor pollution source. The user obtains the measured location of the odor pollution source by marking the location of the odor pollution source on the plane map, and the odor pollution source location assessment is performed by comparing the measured location of the odor pollution source with the preset location of the odor pollution source;

[0019] The downwind point distribution assessment is for the user to determine the downwind point distribution range of the odor pollution source, and the downwind point distribution assessment is performed by comparing the downwind point distribution range with a preset downwind point distribution preferred range;

[0020] The instrument operation assessment is an assessment of the standard of the user's actions in operating the relevant instrument, and the instrument operation assessment is performed by capturing the user's hand movements to obtain the operation similarity.

[0021] Preferably, the step of obtaining the operation similarity by capturing the user's hand movements to conduct the instrument operation assessment includes:

[0022] Construct a 3D hand skeleton model;

[0023] The operation similarity is obtained according to the three-dimensional hand skeleton model.

[0024] Preferably, the constructing of a three-dimensional hand skeleton model comprises:

[0025] In the process of the user operating the relevant instrument, the hand operation video is captured by the camera and processed in frames. The camera follows the user's hand movement to ensure that the user's hand is always in the camera capture screen, randomly selects hand feature points, and obtains the camera coordinates of the hand feature points. The hand feature point camera coordinates include the first hand feature point camera coordinates, the second hand feature point camera coordinates, ..., the nth hand feature point camera coordinates, n is the total number of frames of the hand operation video, the first hand feature point camera coordinates are the imaging plane coordinates of the hand feature point on the camera in the first frame, the second hand feature point camera coordinates are the imaging plane coordinates of the hand feature point on the camera in the second frame, and the nth hand feature point camera coordinates are the imaging plane coordinates of the hand feature point on the camera in the nth frame;

[0026] Acquire an operation capture position, wherein the operation capture position includes a first operation capture position, a second operation capture position, ..., and an nth operation capture position, wherein the first operation capture position is a position of the camera in a first frame, the second operation capture position is a position of the camera in a second frame, and the nth operation capture position is a position of the camera in an nth frame;

[0027] Get the posture transformation formula;

[0028] Acquire the operation conversion parameters according to the posture transformation formula, and acquire the posture transformation matrix according to the operation conversion parameters;

[0029] Taking the origin of the camera of the first frame as the origin of the world coordinate system, calculating the world coordinates of the hand feature points in the world coordinate system according to the posture transformation matrix;

[0030] The world coordinates of the hand feature points of all hand feature points are obtained by analogy and the three-dimensional hand skeleton model is constructed, wherein the three-dimensional hand skeleton model includes a first-frame three-dimensional hand skeleton model, a second-frame three-dimensional hand skeleton model, ..., and an n-th-frame three-dimensional hand skeleton model.

[0031] Preferably, acquiring the operation similarity according to the three-dimensional hand skeleton model comprises:

[0032] Acquire a standard operation 3D hand skeleton model, wherein the standard operation 3D hand skeleton model includes a first frame standard operation 3D hand skeleton model, a second frame standard operation 3D hand skeleton model, ..., an nth frame standard operation 3D hand skeleton model; acquire hand bone connections, wherein the hand bone connections include a first hand bone connection, a second hand bone connection, ..., an Mth hand bone connection;

[0033] Acquire a standard operation vector based on the standard operation three-dimensional hand skeleton model, wherein the standard operation vector includes a first standard operation vector, a second standard operation vector, ... an M-1th standard operation vector, and the standard operation vector is a vector pointing from the mth hand bone connection to the m+1th hand bone connection in the standard operation three-dimensional hand skeleton model, where m∈M-1;

[0034] Acquire an operation vector based on the three-dimensional hand skeleton model, the operation vector comprising a first operation vector, a second operation vector, ... an M-1th operation vector, the operation vector being a vector from an mth hand bone connection to an m+1th hand bone connection in the three-dimensional hand skeleton model, m∈M-1;

[0035] The operation similarity is calculated based on the standard operation vector and the operation vector.

[0036] A VR-based environmental monitoring and assessment device, used to execute the above-mentioned environmental monitoring and assessment method, including a scene building module and a monitoring and assessment module;

[0037] The scenario building module is used to build an environmental monitoring assessment simulation scenario;

[0038] The monitoring and assessment module is used for users to enter the environmental monitoring and assessment simulation scene through VR equipment, and conduct environmental monitoring and assessment under the interference of the interference scene. The environmental monitoring assessment includes unorganized monitoring suitability assessment, wind speed and direction measurement assessment, odor pollution source positioning assessment, downwind point layout assessment, and instrument operation assessment.

[0039] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the above-mentioned environmental monitoring and assessment method is implemented.

[0040] A storage medium containing computer executable instructions, which are used to execute the above-mentioned environmental monitoring and assessment method when executed by a computer processor.

[0041] The beneficial effects of the present invention are:

[0042] (1) Through the environmental monitoring assessment simulation scene, users enter the environmental monitoring assessment simulation scene through VR equipment, conduct environmental monitoring assessment under the interference of the interference scene, and develop a human-computer interaction assessment system for the entire process of odor concentration sampling, so as to unify the operation gestures, realize the standardization of the odor concentration sampling process and the standardization of sampling operations, thereby improving the monitoring quality, ensuring the authenticity and representativeness of the monitoring data, and not being restricted by the venue and the number of people, maximizing the assessment efficiency. At the same time, it can better reflect the actual hands-on ability of the examinees, rather than being limited to theoretical assessment;

[0043] (2) A three-dimensional hand skeleton model is constructed to judge the standard of the examinees' operation. The spatial relationship between the human body's feature points and movements is fully utilized, and the skeleton is obtained through time-space superposition to eliminate individual differences. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0045] Figure 1 The present invention is a flowchart of the steps of a VR-based environmental monitoring and assessment method. DETAILED DESCRIPTION

[0046] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the specific implementation methods, structures, features and effects of the present invention are described in detail below in conjunction with the accompanying drawings and preferred embodiments.

[0047] The working principle and use process of the present invention:

[0048] See also Figure 1 , a VR-based environmental monitoring and assessment method, comprising:

[0049] S1: Build a simulation scenario for environmental monitoring and assessment;

[0050] S2: The user enters the environmental monitoring assessment simulation scene through the VR device and conducts the environmental monitoring assessment under the interference of the interference scene. The environmental monitoring assessment includes unorganized monitoring suitability assessment, wind speed and direction measurement assessment, odor pollution source positioning assessment, downwind point placement assessment, and instrument operation assessment.

[0051] In this embodiment, the construction of the environmental monitoring assessment simulation scenario can be implemented through the following steps:

[0052] S101: Acquire simulation scene construction data, wherein the simulation scene construction data includes odor pollution source data, odor gas data, environmental data, and interference item data;

[0053] S102: Building the environmental monitoring assessment simulation scenario based on the simulation scenario building data.

[0054] In this embodiment, the environmental monitoring assessment simulation scene is built based on the simulation scene building data, which can be implemented by the following steps:

[0055] S102-1: projecting the odor pollution source onto a virtual scene using holographic projection technology based on the odor pollution source data, and simulating the odor gas diffusion process based on the odor gas data;

[0056] S102-2: simulating the on-site environment based on the environmental data, including but not limited to wind speed simulation, wind direction simulation, temperature simulation, humidity simulation, and atmospheric pressure simulation;

[0057] S102-3: Simulate the interference scenario based on the interference item data, for example, simulate setting up a fragrance factory upwind of the odor pollution source as an upwind interference scenario, and set up a green belt at the boundary of the odor pollution source as a boundary interference scenario.

[0058] In this embodiment, environmental monitoring and assessment is performed under the interference of the interference scene, which can be specifically implemented through the following steps:

[0059] S201: Obtaining environmental monitoring assessment questions, and conducting the unorganized monitoring suitability assessment based on the environmental monitoring assessment questions;

[0060] S202: The wind speed and wind direction measurement assessment includes wind speed measurement time assessment, wind speed measurement accuracy assessment, and wind direction measurement accuracy assessment. The wind speed measurement time assessment is performed by obtaining the time when the user performs wind speed measurement, the wind speed measurement accuracy assessment is performed by comparing a preset simulated wind speed value with a user's wind speed measurement value, and the wind direction measurement accuracy assessment is performed by comparing a preset simulated wind direction with a user's measured wind direction;

[0061] S203: The odor pollution source location assessment is to assess the accuracy of the user in locating the odor pollution source. The user obtains the odor pollution source measurement location by marking the odor pollution source location on the plane map, and the odor pollution source location assessment is performed by comparing the odor pollution source measurement location with the preset odor pollution source location;

[0062] S204: The downwind point distribution assessment is that the user determines the downwind point distribution range of the odor pollution source based on the Technical Guidelines for Monitoring Unorganized Emissions of Air Pollutants (HJ / T 55-2000), and performs the downwind point distribution assessment by comparing the downwind point distribution range with a preset downwind point distribution preferred range;

[0063] S205: The instrument operation assessment is an assessment of the standard of the user's operation of the relevant instrument, and the instrument operation assessment is performed by capturing the user's hand movements to obtain the operation similarity.

[0064] In this embodiment, the instrument operation assessment is performed by capturing the user's hand movements to obtain the operation similarity, which can be specifically implemented through the following steps:

[0065] S205-1: Construct a 3D hand skeleton model;

[0066] In the process of the user operating the relevant instrument, the hand operation video is captured by the camera and processed in frames. The camera follows the user's hand movement to ensure that the user's hand is always in the camera capture screen, randomly selects hand feature points, and obtains the camera coordinates of the hand feature points. The hand feature point camera coordinates include the first hand feature point camera coordinates, the second hand feature point camera coordinates, ..., the nth hand feature point camera coordinates, n is the total number of frames of the hand operation video, the first hand feature point camera coordinates are the imaging plane coordinates of the hand feature point on the camera in the first frame, the second hand feature point camera coordinates are the imaging plane coordinates of the hand feature point on the camera in the second frame, and the nth hand feature point camera coordinates are the imaging plane coordinates of the hand feature point on the camera in the nth frame;

[0067] Acquire an operation capture position, wherein the operation capture position includes a first operation capture position, a second operation capture position, ..., and an nth operation capture position, wherein the first operation capture position is a position of the camera in a first frame, the second operation capture position is a position of the camera in a second frame, and the nth operation capture position is a position of the camera in an nth frame;

[0068] Get the posture transformation formula, the expression of the posture transformation formula is in, is the vector from the capture position of the i-th operation to the capture position of the j-th operation, R ij is the operation conversion parameter, P i is the camera coordinate of the i-th hand feature point, P j is the camera coordinate of the jth hand feature point, and n is the total number of frames of the hand operation video;

[0069] The operation conversion parameters are obtained according to the posture transformation formula, and the posture conversion matrix is ​​obtained according to the operation conversion parameters. The expression of the posture conversion matrix is: Among them, T ij is the pose transformation matrix of the hand feature point from the i-th operation capture position to the j-th operation capture position;

[0070] Taking the origin of the first frame camera as the origin of the world coordinate system, the world coordinates of the hand feature points in the world coordinate system are calculated according to the posture transformation matrix. The calculation formula is: in, is the world coordinates of the hand feature points in the i-th frame, T 12 is the pose transformation matrix of the hand feature points from the first operation capture position to the second operation capture position, T 23 is the pose transformation matrix of the hand feature points from the second operation capture position to the third operation capture position, T i(i-1) is the pose transformation matrix of the hand feature point from the i-th operation capture position to the i-1-th operation capture position, P i is the camera coordinate of the i-th hand feature point;

[0071] The world coordinates of the hand feature points of all hand feature points are obtained by analogy and the three-dimensional hand skeleton model is constructed, which makes full use of the spatial relationship between human body feature points and actions, obtains the skeleton through time-space superposition, and eliminates individual differences. The three-dimensional hand skeleton model includes a first frame three-dimensional hand skeleton model, a second frame three-dimensional hand skeleton model, ..., and an n-th frame three-dimensional hand skeleton model.

[0072] S205-2: Obtain the operation similarity according to the three-dimensional hand skeleton model.

[0073] Acquire a standard operation 3D hand skeleton model, wherein the standard operation 3D hand skeleton model includes a first frame standard operation 3D hand skeleton model, a second frame standard operation 3D hand skeleton model, ..., an nth frame standard operation 3D hand skeleton model; acquire hand bone connections, wherein the hand bone connections include a first hand bone connection, a second hand bone connection, ..., an Mth hand bone connection;

[0074] Acquire a standard operation vector based on the standard operation three-dimensional hand skeleton model, wherein the standard operation vector includes a first standard operation vector, a second standard operation vector, ... an M-1th standard operation vector, and the standard operation vector is a vector pointing from the mth hand bone connection to the m+1th hand bone connection in the standard operation three-dimensional hand skeleton model, where m∈M-1;

[0075] Acquire an operation vector based on the three-dimensional hand skeleton model, the operation vector comprising a first operation vector, a second operation vector, ... an M-1th operation vector, the operation vector being a vector from an mth hand bone connection to an m+1th hand bone connection in the three-dimensional hand skeleton model, m∈M-1;

[0076] The operation similarity is calculated based on the standard operation vector and the operation vector, and the calculation formula is: Among them, C is the operation similarity, n is the total number of frames of hand operation video, M is the total number of hand bone connections, (xαm ,y αm ,z αm ) is the coordinate of the mth standard operation vector of the i-th frame, (x βm ,y βm ,z βm ) is the coordinate of the mth operation vector of the i-th frame.

[0077] A VR-based environmental monitoring and assessment device, comprising a scene building module and a monitoring and assessment module;

[0078] The scenario building module is used to build an environmental monitoring assessment simulation scenario;

[0079] The monitoring and assessment module is used for users to enter the environmental monitoring and assessment simulation scene through VR equipment, and conduct environmental monitoring and assessment under the interference of the interference scene. The environmental monitoring assessment includes unorganized monitoring suitability assessment, wind speed and direction measurement assessment, odor pollution source positioning assessment, downwind point layout assessment, and instrument operation assessment.

[0080] The computer storage medium of the embodiment of the present invention may adopt any combination of one or more computer-readable media. The computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device or device.

[0081] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0082] The program code included on the computer readable medium can be transmitted with any appropriate medium, including but not limited to wireless, electric wire, optical cable, RF, etc., or any suitable combination of the above. The computer program code for performing the operation of the present invention can be written in one or more programming languages ​​or their combinations, and the programming language includes object-oriented programming languages-such as Java, Smalltalk, C++, and also includes conventional procedural programming languages-such as "C" language or similar programming languages. The program code can be executed completely on the user's computer, partially on the user's computer, as an independent software package, partially on the user's computer and partially on the remote computer, or completely on the remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (for example, using an Internet service provider to connect through the Internet).

[0083] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technical personnel in this field can make some changes or modify the technical contents disclosed above into equivalent embodiments without departing from the scope of the technical solution of the present invention. However, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention without departing from the content of the technical solution of the present invention still fall within the scope of the technical solution of the present invention.

Claims

1. A VR-based environmental monitoring and assessment method, characterized in that: The implementation of the environmental monitoring assessment method includes the following steps: Build a simulation scenario for environmental monitoring and assessment; The user enters the environmental monitoring assessment simulation scene through VR equipment and conducts environmental monitoring assessment under the interference of the interference scene. The environmental monitoring assessment includes unorganized monitoring suitability assessment, wind speed and direction measurement assessment, odor pollution source positioning assessment, downwind point layout assessment, and instrument operation assessment.

2. The environmental monitoring and assessment method according to claim 1, characterized in that: The construction of the environmental monitoring assessment simulation scenario includes: Acquire simulation scene construction data, wherein the simulation scene construction data includes odor pollution source data, odor gas data, environmental data, and interference item data; The environmental monitoring assessment simulation scenario is constructed based on the simulation scenario construction data.

3. The environmental monitoring and assessment method according to claim 2, characterized in that: The construction of the environmental monitoring assessment simulation scenario based on the simulation scenario construction data includes: Based on the odor pollution source data, the odor pollution source is projected onto a virtual scene by using holographic projection technology, and based on the odor gas data, the odor gas diffusion process is simulated; Simulating the on-site environment based on the environmental data, including wind speed simulation, wind direction simulation, temperature simulation, humidity simulation, and atmospheric pressure simulation; The interference scenario is simulated based on the interference item data.

4. The environmental monitoring and assessment method according to claim 1, characterized in that: The environmental monitoring assessment includes: Obtaining environmental monitoring assessment questions, and conducting the unorganized monitoring suitability assessment based on the environmental monitoring assessment questions; The wind speed and wind direction measurement assessment includes wind speed measurement time assessment, wind speed measurement accuracy assessment, and wind direction measurement accuracy assessment. The wind speed measurement time assessment is performed by obtaining the time when the user performs wind speed measurement, the wind speed measurement accuracy assessment is performed by comparing the preset simulated wind speed value with the user's wind speed measurement value, and the wind direction measurement accuracy assessment is performed by comparing the preset simulated wind direction with the user's measured wind direction; The odor pollution source location assessment is an assessment of the accuracy of the user's location of the odor pollution source. The user obtains the measured location of the odor pollution source by marking the location of the odor pollution source on the plane map, and the odor pollution source location assessment is performed by comparing the measured location of the odor pollution source with the preset location of the odor pollution source; The downwind point distribution assessment is for the user to determine the downwind point distribution range of the odor pollution source, and the downwind point distribution assessment is performed by comparing the downwind point distribution range with a preset downwind point distribution preferred range; The instrument operation assessment is an assessment of the standard of the user's actions in operating the relevant instrument, and the instrument operation assessment is performed by capturing the user's hand movements to obtain the operation similarity.

5. The environmental monitoring and assessment method according to claim 4, characterized in that: The method of obtaining the operation similarity by capturing the user's hand movements to conduct the instrument operation assessment includes: Construct a 3D hand skeleton model; The operation similarity is obtained according to the three-dimensional hand skeleton model.

6. The environmental monitoring and assessment method according to claim 5, characterized in that: The constructing of the three-dimensional hand skeleton model comprises: In the process of the user operating the relevant instrument, the hand operation video is captured by the camera and processed in frames. The camera follows the user's hand movement to ensure that the user's hand is always in the camera capture screen, randomly selects hand feature points, and obtains the camera coordinates of the hand feature points. The hand feature point camera coordinates include the first hand feature point camera coordinates, the second hand feature point camera coordinates, ..., the nth hand feature point camera coordinates, n is the total number of frames of the hand operation video, the first hand feature point camera coordinates are the imaging plane coordinates of the hand feature point on the camera in the first frame, the second hand feature point camera coordinates are the imaging plane coordinates of the hand feature point on the camera in the second frame, and the nth hand feature point camera coordinates are the imaging plane coordinates of the hand feature point on the camera in the nth frame; Acquire an operation capture position, wherein the operation capture position includes a first operation capture position, a second operation capture position, ..., and an nth operation capture position, wherein the first operation capture position is a position of the camera in a first frame, the second operation capture position is a position of the camera in a second frame, and the nth operation capture position is a position of the camera in an nth frame; Get the posture transformation formula; Acquire the operation conversion parameters according to the posture transformation formula, and acquire the posture transformation matrix according to the operation conversion parameters; Taking the origin of the camera of the first frame as the origin of the world coordinate system, calculating the world coordinates of the hand feature points in the world coordinate system according to the posture transformation matrix; The world coordinates of the hand feature points of all hand feature points are obtained by analogy and the three-dimensional hand skeleton model is constructed, wherein the three-dimensional hand skeleton model includes a first-frame three-dimensional hand skeleton model, a second-frame three-dimensional hand skeleton model, ..., and an n-th-frame three-dimensional hand skeleton model.

7. The environmental monitoring and assessment method according to claim 5, characterized in that: The obtaining the operation similarity according to the three-dimensional hand skeleton model comprises: Acquire a standard operation 3D hand skeleton model, wherein the standard operation 3D hand skeleton model includes a first frame standard operation 3D hand skeleton model, a second frame standard operation 3D hand skeleton model, ..., an nth frame standard operation 3D hand skeleton model; acquire hand bone connections, wherein the hand bone connections include a first hand bone connection, a second hand bone connection, ..., an Mth hand bone connection; Acquire a standard operation vector based on the standard operation three-dimensional hand skeleton model, wherein the standard operation vector includes a first standard operation vector, a second standard operation vector, ... an M-1th standard operation vector, and the standard operation vector is a vector pointing from the mth hand bone connection to the m+1th hand bone connection in the standard operation three-dimensional hand skeleton model, where m∈M-1; Acquire an operation vector based on the three-dimensional hand skeleton model, the operation vector comprising a first operation vector, a second operation vector, ... an M-1th operation vector, the operation vector being a vector from an mth hand bone connection to an m+1th hand bone connection in the three-dimensional hand skeleton model, m∈M-1; The operation similarity is calculated based on the standard operation vector and the operation vector.

8. A VR-based environmental monitoring and assessment device, characterized in that: The device is applied to the environmental monitoring and assessment method as described in any one of claims 1 to 7, including a scene building module and a monitoring and assessment module; The scenario building module is used to build an environmental monitoring assessment simulation scenario; The monitoring and assessment module is used for users to enter the environmental monitoring and assessment simulation scene through VR equipment, and conduct environmental monitoring and assessment under the interference of the interference scene. The environmental monitoring assessment includes unorganized monitoring suitability assessment, wind speed and direction measurement assessment, odor pollution source positioning assessment, downwind point layout assessment, and instrument operation assessment.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the environmental monitoring and assessment method as described in any one of claims 1-7 is implemented.

10. A storage medium containing computer executable instructions, characterized in that: The computer executable instructions, when executed by a computer processor, are used to execute the environmental monitoring and assessment method as described in any one of claims 1 to 7.

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