Abstract: A method for implementing virtual reality roaming path control includes steps that a tag of a passing grid cell is detected from a start point of the roaming path when a roamer roams in the virtual passage, if the passing grid cell is tagged as an impassable cell, then it is determined to be impassable and another grid cell is selected for re-detection; if the passing grid cell is tagged as a passable cell, then whether the roamer is the preset roaming object is further detected, according to the roaming control label for the passable cell, if not, then it is determined to be impassable and another grid cell is selected for re-detection, if yes, then it is determined to be passable and continued to select the next passing grid cell for detection; and a passable roaming path is generated according to a detection result.

Abstract: A system of virtual reality includes a roaming path control unit, where the roaming path control unit includes a decomposing processing module, a tagging processing module, a setting processing module, a control processing module and a roaming path generating module, where the control processing module is configured to, detect a tag of a passing grid cell from a start point of the roaming path when a roamer roams in the virtual passage, if the passing grid cell is tagged as an impassable cell, then select another grid cell for re-detection; if the passing grid cell is tagged as a passable cell, then further detect whether the roamer is the preset roaming object, according to the roaming control label for the passable cell, if not, then select another grid cell for re-detection, if yes, then determine to be passable and continue to select the next passing grid cell for detection.

Abstract: Disclosed is a simulation method for detecting dim environment based on virtual reality, wherein by converting infrared detection images of each direction collected at each sampling point into a virtual detection space for automatically roaming in the virtual detection space to simulate a detection scene, the decision-makers can directly understand the actual situation of the target environment through the simulated virtual detection space without entering the scene, thereby making scientific decisions and reducing the probability of decision errors. And, in the disclosure, images can be acquired through infrared detectors, even for dim environments such as smoke and dust. Further, in the disclosure, it is only necessary to set an infrared detector at the sampling points of the detection path by a robot to collect the images, without the need for a detection personnel to enter or stay for a long time.

Abstract: Disclosed is a virtual detection system, wherein, with each processing module, by converting infrared detection images of each direction collected at each sampling point into a virtual detection space for automatically roaming in the virtual detection space to simulate a detection scene, the decision-makers can directly understand the actual situation of the target environment through the simulated virtual detection space without entering the scene, thereby making scientific decisions and reducing the probability of decision errors. And, in the disclosure, images can be acquired through infrared detectors, even for dim environments such as smoke and dust. Further, in the disclosure, it is only necessary to set an infrared detector at the sampling points of the detection path by a robot to collect the images, without the need for a detection personnel to enter or stay for a long time.