Working area danger warning system and method

Abstract

The invention discloses a working area danger warning system and method, a model building module comprises a laser unit, an image unit and a modeling unit, and the modeling unit is used for processing a point cloud coordinate group and a three-dimensional model data group which are respectively generated by the laser unit and the image unit and generating a working area model. And the analysis module comprises an obstacle recognition unit and a scene division unit. The monitoring module comprises a monitoring unit and a judgment unit, the monitoring unit monitors a working area in real time and outputs monitoring information to the judgment unit, the monitoring information at least comprises a moving object form and an equipment state, and the judgment unit outputs a corresponding alarm instruction to the alarm module according to analysis of the monitoring information; and the alarm module is used for starting alarm equipment to execute corresponding alarm operation according to the alarm instruction. The safety and the management efficiency of the working area are effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of work area safety protection, and in particular to a work area warning system and method. Background Art

[0002] In all kinds of work areas, especially those involving complex equipment and dangerous operations, it is crucial to ensure the safety of personnel and equipment. However, the existing safety protection measures for work areas are often insufficient and cannot effectively identify and respond to various potential safety risks. The need for "technology-driven safety" in construction site safety management is becoming more and more urgent. However, using scientific and technological means to strengthen safety management in work areas has become a question worth considering. Summary of the invention

[0003] In order to overcome the problems in the prior art, an object of the present invention is to provide a work area warning system to improve the safety and management efficiency of the work area.

[0004] To achieve the above purpose, a work area danger warning system includes: The acquisition module includes a laser unit and an image unit, wherein the laser unit is used to acquire the working area environment in real time and generate a point cloud coordinate group, and the image unit is used to photograph the working area environment in real time to obtain image information and generate a three-dimensional model data group; A modeling module, used for processing the point cloud coordinate group and the three-dimensional model data group generated by the laser unit and the image unit respectively and generating a working area model; The analysis module includes an obstacle recognition unit and a scene division unit, wherein the obstacle recognition unit is used to recognize the names of obstacles in the working area and divide the obstacles into working equipment and environmental objects according to the names of the obstacles, and the scene division unit is used to divide the working area into at least two areas, wherein the two areas are a warning area and a buffer area; The monitoring module includes a monitoring unit and a determination unit. The monitoring unit monitors the working area in real time and outputs monitoring information to the determination unit. The monitoring information includes at least the form of the moving object and the equipment status. The determination unit determines whether there is an alarm situation based on the analysis of the monitoring information and outputs a corresponding alarm instruction to the alarm module. The alarm module is used to start the alarm device to perform corresponding alarm operations according to the alarm instruction.

[0005] Furthermore, the laser unit includes at least two laser measuring devices, which are respectively arranged on the ground and above the working area to be measured. The laser measuring device located on the ground emits laser upwards, and the laser measuring device located in the air emits laser downwards to generate a point cloud coordinate group.

[0006] Further, the modeling module includes a data processing unit and a data modeling unit, the data processing unit is used to receive the point cloud coordinate group and the three-dimensional model data group generated by the laser unit and the image unit respectively, and subtract the three-dimensional coordinates of the point cloud coordinate group and the three-dimensional model data group, and the data processing subunit sets a comparison threshold; When the difference between the three-dimensional coordinates of the point cloud coordinate group and the three-dimensional model data group exceeds the comparison threshold range, a request for field measurement is issued, and the field measurement data is used as a data set of the working area model and output to the data modeling unit; When the difference between the three-dimensional coordinates of the point cloud coordinate group and the three-dimensional model data group does not exceed the comparison threshold range, the average value of the sum of the three-dimensional coordinates of the point cloud coordinate group and the three-dimensional model data group is used as the data set of the working area model and output to the data modeling unit.

[0007] Furthermore, the data modeling subunit performs preprocessing of outliers removal, simplification, and smoothing on the data set of the working area model, and generates the working area model according to the processed data set of the working area model.

[0008] Furthermore, the scene division unit sets at least one warning area range threshold, sets the warning area range threshold with the working equipment as the center, sets the area smaller than the warning area range threshold as the warning area, and sets the area larger than the warning area range threshold but within the working area as the buffer zone.

[0009] Furthermore, the determination unit includes a warning area determination subunit and a buffer area determination subunit, and both the warning area determination subunit and the buffer area determination subunit are provided with a biometric recognition system for identifying the type of the moving object according to the shape of the moving object.

[0010] Furthermore, the warning zone determination subunit is used to configure weights for all indicator factors in the warning zone through a risk value model. The indicator factors include all types of moving objects and equipment types in the warning zone. The input end of the warning zone determination subunit receives monitoring information data of the warning zone, and outputs an alarm instruction to the alarm module according to the coupling weight result of the indicator factors in the warning zone.

[0011] Further, the buffer zone determination subunit input end receives the monitoring information data of the buffer zone, and the buffer zone determination subunit identifies whether the moving object is a person or an animal; When it is determined that the moving object is a person and there is a fault in the equipment, it is determined whether the person entering the buffer zone is a maintenance personnel according to the color of the clothes worn by the person and the color of the memory helmet. If the person entering the buffer zone is a maintenance personnel, the buffer zone determination subunit does not output any alarm instruction to the alarm module; if it is not a maintenance personnel, the buffer zone determination subunit outputs the first alarm instruction to the alarm module; when there is no fault in the equipment, the buffer zone determination subunit directly outputs the first alarm instruction to the alarm module; When the moving object is determined to be an animal, the buffer zone determination subunit outputs a second alarm instruction to the alarm module; When all moving objects are away from the buffer zone, the buffer zone determination subunit outputs an alarm stop instruction to the alarm module.

[0012] Further, the alarm module includes a voice device and a lighting device, and the alarm module performs a first alarm operation according to a first alarm instruction and performs a second alarm operation according to a second alarm instruction; The first alarm operation is: the lighting device emits a group of light beams to the location of the person, and the voice device issues a voice prompt to follow the light beams; The second alarm operation is: the lighting device emits moving light to the animal's position to guide the animal to move, and the voice device emits sounds that the animal dislikes.

[0013] The present invention also provides a working area danger warning method, wherein the working area danger warning system is used to implement the working area danger warning system as described above, comprising: S1: Start the control terminal, send out an environment scanning signal, use the laser unit to generate a point cloud coordinate group, and use the image unit to capture the surrounding environment image information to generate a three-dimensional model; obtain the point cloud coordinate group and the three-dimensional model data group, and obtain the data set of the working area model by comparing and adjusting the three-dimensional coordinates of the calculated point cloud coordinate group and the three-dimensional model data group, and establish the working area model according to the data set of the working area model; S2: judging the name of the obstacle according to the shape of the obstacle refracted by the laser unit, dividing the working area model into at least two areas according to the name of the obstacle, the two areas being a warning area and a buffer area, and performing real-time monitoring on the warning area and the buffer area; S3: Build a risk value calculation model for the warning area, set alarm conditions for the buffer zone, obtain monitoring information in the warning zone and buffer zone respectively, analyze the shape of moving objects and equipment status in the monitoring information, and output corresponding alarm instructions; S4: The alarm device performs corresponding alarm operations according to the alarm instruction.

[0014] The present invention effectively divides the working area into different safety levels, which helps to improve the applicability in different working scenarios and improves the ability to identify and warn of potential dangers. Through accurate identification and classification of moving objects, targeted expulsion measures are implemented, reducing the probability of safety accidents. Through risk calculation and mobile object identification, safety strategies can be flexibly adjusted according to actual conditions, ensuring that the impact of equipment downtime on work progress is minimized while ensuring the safety of personnel lives. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 A structural diagram of a work area danger warning system provided in Example 1 of the present invention; Figure 2 A schematic diagram of the division of the U-shaped warning area and the buffer zone provided in Example 1 of the present invention; Figure 3 A flow chart of a work area hazard warning method provided in Example 2 of the present invention. DETAILED DESCRIPTION

[0016] The present invention is further described below in conjunction with the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. The terms such as "upper", "lower", "left", "right" and the like cited in this specification are only for the convenience of description, and are not used to limit the scope of the implementation of the present invention. The change or adjustment of the relative relationship shall also be regarded as the scope of the implementation of the present invention without substantially changing the technical content.

[0017] Embodiment 1: This embodiment provides a work area danger warning system, which is characterized by: Figure 1 As shown, including: A modeling module is established, including a laser unit, an image unit and a modeling unit. The laser unit is used to collect the working area environment in real time and generate a point cloud coordinate group. The image unit is used to collect the working area environment image information in real time and generate a three-dimensional model data group. The modeling unit is used to process the point cloud coordinate group and the three-dimensional model data group generated by the laser unit and the image unit respectively and generate a working area model.

[0018] The analysis module includes an obstacle recognition unit and a scene division unit, wherein the obstacle recognition unit is used to recognize the name of the obstacle in the working area and divide the obstacle into working equipment and environmental objects according to the name of the obstacle, and the scene division unit is used to divide the working area into at least two areas, the two areas being a warning area and a buffer area. Specifically, the obstacle recognition unit generates a laser measuring device to generate a shape of an obstacle refracted by laser and recognizes the name of the obstacle, and divides the obstacle into working equipment and environmental objects according to the name of the obstacle.

[0019] The monitoring module includes a monitoring unit and a determination unit. The monitoring unit monitors the working area in real time and outputs monitoring information to the determination unit. The monitoring information includes at least the form of the moving object and the status of the equipment. The determination unit outputs a corresponding alarm instruction to the alarm module according to the analysis of the monitoring information. The alarm module is used to start the alarm device to perform corresponding alarm operations according to the alarm instruction.

[0020] Specifically, the laser unit includes at least two laser measuring devices, which are located on the ground and in the air of the space to be measured, respectively. The laser measuring device located on the ground emits laser upwards, and the laser measuring device located in the air emits laser downwards. The coverage area of ​​the two laser measuring devices exceeds the working area to be modeled, and a point cloud coordinate group is generated. The image unit is used to obtain the image information of the working area environment in real time and generate a three-dimensional model data group. The laser unit and the image unit output the point cloud coordinate group and the three-dimensional model data group to the modeling unit.

[0021] The modeling unit includes a data processing subunit and a data modeling subunit. The data processing subunit forms control group data with the received point cloud coordinate group and the three-dimensional model data group, performs subtraction on the three-dimensional coordinates of the point cloud coordinate group and the three-dimensional model data group, and the data processing subunit has a comparison threshold set therein; When the difference between the three-dimensional coordinates of the point cloud coordinate group and the three-dimensional model data group exceeds the comparison threshold range, a request for retrieving on-site measurement is issued, and the data recorded in the on-site measurement is used as a data set of the working area model and output to the data modeling subunit; When the difference between the three-dimensional coordinates of the point cloud coordinate group and the three-dimensional model data group does not exceed the comparison threshold range, the average value of the sum of the three-dimensional coordinates of the point cloud coordinate group and the three-dimensional model data group is used as the data set of the working area model and output to the data modeling subunit; The modeling subunit performs preprocessing of outliers removal, simplification, and smoothing on the data set of the working area model, and establishes the working area model using the Poisson algorithm and the forward algorithm for the preprocessed data set. The methods of performing preprocessing of outliers removal, simplification, and smoothing on the data set of the working area model and establishing the model using the Poisson algorithm and the forward algorithm are prior arts and will not be described in detail here.

[0022] The obstacle recognition unit generates laser light refracted by the laser measuring device to reflect the shape of the obstacle and recognizes the name of the obstacle, and divides the obstacles into working equipment and environmental objects according to the name of the obstacle. The working equipment includes: tower cranes, distribution boxes, booms, wires, etc., and the environmental objects include: trees, rivers, stones, etc.

[0023] The scene division unit is provided with at least one warning zone range threshold, which is set with the working equipment as the center, and the area smaller than the warning zone range threshold is set as the warning zone, and the area larger than the warning zone range threshold but within the working area is set as the buffer zone.

[0024] The method of dividing the warning zone and buffer zone is as follows: the warning zone range threshold is set with the working equipment as the center. For example, with the tower crane as the center, the center line of the tower crane is used as the baseline, and it is extended 50 meters in the four directions of east, west, south and north respectively, and 35 meters upward in the vertical direction from the center point of the tower crane base. The enclosed cube is used as the warning zone range threshold. The area smaller than the warning zone range threshold is set as the warning zone, and the area larger than the warning zone range threshold but within the working area is set as the buffer zone. Specifically, Figure 2 As shown, the warning area and the buffer zone form a "U" shape.

[0025] It is also possible to set a buffer area range threshold. For example, with the tower crane as the center, the center line of the tower crane is used as the baseline, and extended 200 meters in the four directions of east, west, south and north respectively, and 20 meters above the ground level as the buffer area range threshold. The area smaller than the buffer area range threshold but larger than the warning area range threshold is set as the buffer zone, and the area larger than the buffer area range threshold but within the working area is set as the free zone.

[0026] The monitoring unit monitors the shape of moving objects, equipment working status, environmental status, etc. in the working area model in real time, and outputs monitoring information data and equipment working abnormality signals to the determination unit.

[0027] The determination unit comprises a warning area determination subunit and a buffer area determination subunit. Both the warning area determination subunit and the buffer area determination subunit are provided with a biometric recognition system for identifying the type of the moving object according to the shape of the moving object.

[0028] The warning zone determination subunit is used to configure weights for all indicator factors in the warning zone through a risk value model. The indicator factors include all types of moving objects, equipment types and environmental conditions in the warning zone. The input end of the warning zone determination subunit receives monitoring information data of the warning zone, and outputs an alarm instruction to the alarm module according to the coupling weight result of the indicator factors in the warning zone.

[0029] Specifically, all objects in the warning area are classified according to the type of mobile object, equipment status, and environmental status. The types of mobile objects include staff, non-staff, animals or other floating objects. The equipment includes stoppable equipment, non-stoppable equipment, confidential equipment or non-confidential equipment. The environmental status includes: the altitude of the equipment, the number of surrounding trees, etc., and weights are assigned to all indicator factors respectively.

[0030] In this embodiment, a smaller weight is configured for stoppable or non-confidential equipment, and a larger weight is configured for staff and non-staff in moving objects. When a person is identified as entering the warning area, the monitoring module sends an equipment stop signal to the control terminal, and the control terminal stops all running equipment until the moving object exceeds the contact threshold alarm, that is, life is weighted first.

[0031] When the device is a non-stop or confidential device, the device weight is adjusted to be larger. When a moving object is detected entering the warning area, the warning area determination subunit outputs a first alarm instruction to the alarm module.

[0032] The buffer zone determination subunit input end receives the monitoring information data of the buffer zone, and the buffer zone determination subunit identifies whether the moving object is a person or an animal; When it is determined that the moving object is a person and there is a fault in the equipment, it is determined whether the person entering the buffer zone is a maintenance personnel according to the color of the clothes worn by the person and the color of the memory helmet. If the person entering the buffer zone is a maintenance personnel, the buffer zone determination subunit does not output any alarm instruction to the alarm module; if it is not a maintenance personnel, the buffer zone determination subunit outputs the first alarm instruction to the alarm module; when there is no fault in the equipment, the buffer zone determination subunit directly outputs the first alarm instruction to the alarm module; When the moving object is determined to be an animal, the buffer zone determination subunit outputs a second alarm instruction to the alarm module; When all moving objects are away from the buffer zone, the buffer zone determination subunit outputs an alarm stop instruction to the alarm module.

[0033] The alarm module includes a voice device and a lighting device. The alarm module performs a first alarm operation according to a first alarm instruction and performs a second alarm operation according to a second alarm instruction. The first alarm operation is: the lighting device emits a group of light beams to the location of the person, and the voice device issues a voice prompt to follow the light beams; The second alarm operation is: the lighting device emits moving light to the animal's position to guide the animal to move, and the voice device emits sounds that the animal dislikes.

[0034] Example 2 This embodiment provides a work area danger warning method, such as Figure 3 As shown, the method is applied to implement a work area danger warning system as described in Example 1, including the following steps: S1: Start the control terminal, send out an environment scanning signal, use the laser unit to generate a point cloud coordinate group, and use the image unit to capture the surrounding environment image information to generate a three-dimensional model; obtain the point cloud coordinate group and the three-dimensional model data group, and obtain the data set of the working area model by comparing and adjusting the three-dimensional coordinates of the calculated point cloud coordinate group and the three-dimensional model data group, and establish the working area model according to the data set of the working area model; S2: judging the name of the obstacle according to the shape of the obstacle refracted by the laser unit, dividing the working area model into at least two areas according to the name of the obstacle, the two areas being a warning area and a buffer area, and performing real-time monitoring on the warning area and the buffer area; S3: Build a risk value calculation model for the warning area, set alarm conditions for the buffer zone, obtain monitoring information in the warning zone and buffer zone respectively, analyze the shape of moving objects and equipment status in the monitoring information, and output corresponding alarm instructions; S4: The alarm device performs corresponding alarm operations according to the alarm instruction.

Claims

1. A work area danger warning system, characterized in that: include: The acquisition module includes a laser unit and an image unit, wherein the laser unit is used to acquire the working area environment in real time and generate a point cloud coordinate group, and the image unit is used to photograph the working area environment in real time to obtain image information and generate a three-dimensional model data group; A modeling module, used for processing the point cloud coordinate group and the three-dimensional model data group generated by the laser unit and the image unit respectively and generating a working area model; The analysis module includes an obstacle recognition unit and a scene division unit, wherein the obstacle recognition unit is used to recognize the names of obstacles in the working area and divide the obstacles into working equipment and environmental objects according to the names of the obstacles, and the scene division unit is used to divide the working area into at least two areas, wherein the two areas are a warning area and a buffer area; The monitoring module includes a monitoring unit and a determination unit. The monitoring unit monitors the working area in real time and outputs monitoring information to the determination unit. The monitoring information includes at least the form of the moving object and the equipment status. The determination unit determines whether there is an alarm situation based on the analysis of the monitoring information and outputs a corresponding alarm instruction to the alarm module. The alarm module is used to start the alarm device to perform corresponding alarm operations according to the alarm instruction.

2. A work area danger warning system according to claim 1, characterized in that: The laser unit includes at least two laser measuring devices, which are respectively arranged on the ground and above the working area to be measured. The laser measuring device located on the ground emits laser upwards, and the laser measuring device located in the air emits laser downwards to generate a point cloud coordinate group.

3. A work area danger warning system according to claim 1, characterized in that: The modeling module includes a data processing unit and a data modeling unit, wherein the data processing unit is used to receive the point cloud coordinate group and the stereo model data group generated by the laser unit and the image unit respectively, and to subtract the three-dimensional coordinates of the point cloud coordinate group and the stereo model data group, and the data processing subunit sets a comparison threshold; When the difference between the three-dimensional coordinates of the point cloud coordinate group and the three-dimensional model data group exceeds the comparison threshold range, a request for field measurement is issued, and the field measurement data is used as a data set of the working area model and output to the data modeling unit; When the difference between the three-dimensional coordinates of the point cloud coordinate group and the three-dimensional model data group does not exceed the comparison threshold range, the average value of the sum of the three-dimensional coordinates of the point cloud coordinate group and the three-dimensional model data group is used as the data set of the working area model and output to the data modeling unit.

4. A work area danger warning system according to claim 3, characterized in that: The data modeling subunit performs preprocessing of outliers removal, simplification and smoothing on the data set of the working area model, and generates the working area model according to the processed data set of the working area model.

5. A work area danger warning system according to claim 1, characterized in that: The scene division unit sets at least one warning area range threshold, sets the warning area range threshold with the working equipment as the center, sets the area smaller than the warning area range threshold as the warning area, and sets the area larger than the warning area range threshold but within the working area as the buffer area.

6. A work area danger warning system according to claim 1, characterized in that: The determination unit comprises a warning area determination subunit and a buffer area determination subunit. Both the warning area determination subunit and the buffer area determination subunit are provided with a biometric recognition system for identifying the type of the moving object according to the shape of the moving object.

7. A work area danger warning system according to claim 6, characterized in that: The warning zone determination subunit is used to configure weights for all indicator factors in the warning zone through a risk value model. The indicator factors include all types of moving objects and equipment types in the warning zone. The input end of the warning zone determination subunit receives monitoring information data of the warning zone, and outputs an alarm instruction to the alarm module according to the coupling weight result of the indicator factors in the warning zone.

8. A work area danger warning system according to claim 6, characterized in that: The buffer zone determination subunit input end receives the monitoring information data of the buffer zone, and the buffer zone determination subunit identifies whether the moving object is a person or an animal; When it is determined that the moving object is a person and there is a fault in the equipment, it is determined whether the person entering the buffer zone is a maintenance personnel according to the color of the clothes worn by the person and the color of the memory helmet. If the person entering the buffer zone is a maintenance personnel, the buffer zone determination subunit does not output any alarm instruction to the alarm module; if not, the buffer zone determination subunit outputs the first alarm instruction to the alarm module; When there is no fault in the device, the buffer determination subunit directly outputs the first alarm instruction to the alarm module; When the moving object is determined to be an animal, the buffer zone determination subunit outputs a second alarm instruction to the alarm module; When all moving objects are away from the buffer zone, the buffer zone determination subunit outputs an alarm stop instruction to the alarm module.

9. A work area hazard warning system according to any one of claims 8, characterized in that: The alarm module includes a voice device and a lighting device. The alarm module performs a first alarm operation according to a first alarm instruction and performs a second alarm operation according to a second alarm instruction. The first alarm operation is: the lighting device emits a group of light beams to the location of the person, and the voice device issues a voice prompt to follow the light beams; The second alarm operation is: the lighting device emits moving light to the animal's position to guide the animal to move, and the voice device emits sounds that the animal dislikes.

10. A working area danger warning method, applied to a working area danger warning system as claimed in any one of claims 1 to 9, characterized in that: The following steps are involved: S1: Start the control terminal, send out an environment scanning signal, use the laser unit to generate a point cloud coordinate group, and use the image unit to capture the surrounding environment image information to generate a three-dimensional model; obtain the point cloud coordinate group and the three-dimensional model data group, and obtain the data set of the working area model by comparing and adjusting the three-dimensional coordinates of the calculated point cloud coordinate group and the three-dimensional model data group, and establish the working area model according to the data set of the working area model; S2: judging the name of the obstacle according to the shape of the obstacle refracted by the laser unit, dividing the working area model into at least two areas according to the name of the obstacle, the two areas being a warning area and a buffer area, and performing real-time monitoring on the warning area and the buffer area; S3: Build a risk value calculation model for the warning area, set alarm conditions for the buffer zone, obtain monitoring information in the warning zone and buffer zone respectively, analyze the shape of moving objects and equipment status in the monitoring information, and output corresponding alarm instructions; S4: The alarm device performs corresponding alarm operations according to the alarm instruction.

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