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CN-121998584-A - Intelligent device management system of self-rescuer

CN121998584ACN 121998584 ACN121998584 ACN 121998584ACN-121998584-A

Abstract

The invention discloses an intelligent device management system of a self-rescuer, which relates to the technical field of intelligent management of safety protection equipment and comprises the steps of collecting images of a sealing joint surface area of the self-rescuer at an imaging station and generating gray images, generating illumination normalization images based on the gray images, extracting sealing joint seam point sets from the illumination normalization images and calculating mass centers, determining an outer sampling direction by the mass centers and acquiring radial gray profiles, calculating a deposition intensity sequence based on the radial gray profiles and acquiring a wedge-shaped deposition black band index based on the radial gray profiles, further reading the available capacity of an isolation bin, sequencing the self-rescuer to be issued according to the index, executing isolation and issuable diversion, and updating a ledger state. The invention can realize the intelligent quantification and automatic diversion of the seal deposition state of the self-rescuer, and perfect the safety management.

Inventors

  • PAN GUANGHUI
  • SHAO YUN

Assignees

  • 常州佳元智能科技有限公司

Dates

Publication Date
20260508
Application Date
20260109

Claims (9)

  1. 1. An intelligent device management system for a self-rescuer, comprising: The image acquisition module is used for acquiring an image of the sealing joint surface area of the self-rescuer at the imaging station and generating a gray image; the illumination normalization module is used for generating an illumination normalization image based on the gray level image; the suture and centroid module is used for extracting a seal joint point set from the illumination normalization image and calculating the centroid of the seal joint point set; The profile sampling and intensity module is used for determining an outer sampling direction according to each point in the center of mass and sealing joint point set, and performing profile sampling on the illumination normalization image along the outer sampling direction so as to generate a deposition intensity sequence; The wedge-shaped index module is used for dividing the seal joint seam point set into an upper half ring set and a lower half ring set according to the mass center, and calculating a wedge-shaped deposition black band index based on the deposition intensity sequence; The capacity distribution module is used for reading the available capacity of the isolation bin, sequencing the to-be-issued self-rescuers according to the wedge-shaped deposit black band indexes, selecting the self-rescuers with the number corresponding to the available capacity of the isolation bin to enter an isolation queue, enabling the rest self-rescuers to enter the issuable queue, and updating the standing account state.
  2. 2. The self-rescuer intelligent device management system of claim 1, wherein generating an illumination normalization image based on the grayscale image comprises: calculating a local window mean image of the gray level image; and carrying out normalization processing on the gray level image and the local window mean value image to obtain an illumination normalization image.
  3. 3. The system of claim 1, wherein extracting a seal joint point set from the illumination normalization image and calculating a centroid of the seal joint point set comprises: Extracting boundary points based on brightness mutation at the joint of the seal in the illumination normalization image to obtain a seal joint point set; and averaging the coordinates of each point of the sealing joint point set to obtain the centroid of the sealing joint point set.
  4. 4. The intelligent device management system of claim 1, wherein the outboard sampling direction is normalized by a reverse vector of the current point in the seal joint seam point set pointing toward the centroid.
  5. 5. The system of claim 4, wherein cross-section sampling the illumination normalization image along the outboard sampling direction to generate a sequence of deposition intensities, comprising: Acquiring a radial gray level profile along the outside sampling direction for each sealing point in the sealing joint seam point set; determining the darkest point gray level and the background gray level in the radial gray level section, and taking the average value of the darkest point gray level and the background gray level as a half-depth level; Determining the left and right intersection point distances of the deposition zone based on the half-depth level to obtain the width of the deposition zone; calculating the blackness of a deposition zone based on the darkest point gray value and the background gray value; Multiplying the width of the deposition belt with the blackness of the deposition belt to obtain the deposition intensity of the corresponding sealing point, and forming a deposition intensity sequence.
  6. 6. The intelligent device management system of claim 1, wherein the upper half ring set is a set of points with a seal joint seam point set ordinate less than the centroid ordinate, and the lower half ring set is a set of points with a seal joint seam point set ordinate greater than the centroid ordinate.
  7. 7. The self-rescuer intelligent device management system of claim 1, wherein calculating a wedge-shaped deposit black band index based on the deposit intensity sequence comprises: respectively calculating a deposition intensity sequence average value corresponding to the lower semi-ring set and a deposition intensity sequence average value corresponding to the upper semi-ring set; subtracting the average value of the deposition intensity sequences corresponding to the upper semi-ring set from the average value of the deposition intensity sequences corresponding to the lower semi-ring set to obtain a deposition intensity difference value; Adding the average value of the deposition intensity sequences corresponding to the lower semi-ring set to the average value of the deposition intensity sequences corresponding to the upper semi-ring set to obtain deposition intensity and value; and obtaining a wedge-shaped deposition black band index according to the ratio of the deposition intensity difference value to the deposition intensity sum value.
  8. 8. The intelligent device management system of claim 1, wherein the number of self-rescuers entering the isolation queue is the smaller of the available capacity of the isolation bin and the number of currently pending self-rescuers.
  9. 9. The intelligent device management system of claim 1, the method is characterized by updating the status of the ledger and comprises the following steps: Writing the self-rescuer entering the isolation queue into an isolation state standing book record, and storing a seal joint surface area image and a wedge-shaped deposition black band index corresponding to the self-rescuer; writing a self-rescuer entering the issuable queue into a issuable state ledger record.

Description

Intelligent device management system of self-rescuer Technical Field The invention relates to the technical field of intelligent management of safety protection equipment, in particular to an intelligent device management system of a self-rescuer. Background The self-rescuer is key emergency breathing protective equipment for operators in closed or semi-closed environments such as underground and tunnels, and the safety and reliability of the self-rescuer are directly related to the life safety of the operators, so that traceable management needs to be realized in the whole process links such as receiving, wearing, returning, storing, maintaining and the like. Under the special working conditions of underground moisture and dust, the joint of the upper cover and the lower cover of the self-rescuer is easy to form sediments due to adhesion and compaction of dust and moisture, and the sediments are accumulated for a long time or are influenced by external forces such as collision and extrusion in the wearing process, so that the sealing performance of the joint is possibly deteriorated implicitly, the normal use of the self-rescuer under an emergency scene is influenced, and potential risks are brought to the safety of operators. The existing intelligent management system for the self-rescuer is mainly focused on basic management functions such as identity binding, inventory standing account statistics, validity period monitoring, access and warehouse record retention and the like, the state inspection of the self-rescuer in the issuing or inspection link still mainly depends on manual quick appearance observation, no accurate analysis means for the sediment state at the joint is lacking, objective quantitative evaluation cannot be carried out on the accumulation degree of the sediment, an automatic linkage mechanism of the sediment state and the issuing and isolation actions of the self-rescuer is not established, the self-rescuer with obvious sediment at the joint and possibly affecting the sealing performance still can enter a issuable link through the existing management flow, the safety management closed loop of the full life cycle of the self-rescuer is difficult to realize, and potential risk hidden danger cannot be effectively intercepted from the source. Disclosure of Invention The invention aims to solve the problems in the prior art and provides an intelligent device management system of a self-rescuer. In order to solve the problems existing in the prior art, the invention adopts the following technical scheme: A self-rescuer intelligent device management system, comprising: The image acquisition module is used for acquiring an image of the sealing joint surface area of the self-rescuer at the imaging station and generating a gray image; the illumination normalization module is used for generating an illumination normalization image based on the gray level image; the suture and centroid module is used for extracting a seal joint point set from the illumination normalization image and calculating the centroid of the seal joint point set; The profile sampling and intensity module is used for determining an outer sampling direction according to each point in the center of mass and sealing joint point set, and performing profile sampling on the illumination normalization image along the outer sampling direction so as to generate a deposition intensity sequence; The wedge-shaped index module is used for dividing the seal joint seam point set into an upper half ring set and a lower half ring set according to the mass center, and calculating a wedge-shaped deposition black band index based on the deposition intensity sequence; The capacity distribution module is used for reading the available capacity of the isolation bin, sequencing the to-be-issued self-rescuers according to the wedge-shaped deposit black band indexes, selecting the self-rescuers with the number corresponding to the available capacity of the isolation bin to enter an isolation queue, enabling the rest self-rescuers to enter the issuable queue, and updating the standing account state. Preferably, generating an illumination normalization image based on the grayscale image includes: calculating a local window mean image of the gray level image; and carrying out normalization processing on the gray level image and the local window mean value image to obtain an illumination normalization image. Preferably, extracting a seal joint point set from the illumination normalization image and calculating a centroid of the seal joint point set includes: Extracting boundary points based on brightness mutation at the joint of the seal in the illumination normalization image to obtain a seal joint point set; and averaging the coordinates of each point of the sealing joint point set to obtain the centroid of the sealing joint point set. Preferably, the outside sampling direction is normalized by an inverse vector of the current point in the seal joint s