CN104410817A - Monitoring alarm method for factory emergency - Google Patents
Monitoring alarm method for factory emergency Download PDFInfo
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- CN104410817A CN104410817A CN201410655608.8A CN201410655608A CN104410817A CN 104410817 A CN104410817 A CN 104410817A CN 201410655608 A CN201410655608 A CN 201410655608A CN 104410817 A CN104410817 A CN 104410817A
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Abstract
The invention discloses a monitoring alarm method for factory emergency. The method comprises the steps that a video sensor converts current sampling image into a horizontal hierarchy slicing (HHS) set and an initial coordinate set through the HHS algorithm, and transmits the data to a monitoring terminal system; and the monitoring terminal system compares by using the received HHS set and the initial coordinate set, so as to realize real-time monitoring and restoring of initial images. According to the method, image change can be monitored in real time through use of the HHS algorithm, while hardware cost is not improved and original data is not changed; undistorted restoring is performed on the initial images when abnormal condition occurs; if the monitoring alarm method is used for monitoring single factory environment, data transmission quantity and transmission energy consumption can be greatly reduced, and the service life of monitoring equipment can be prolonged. The monitoring alarm method for factory emergency can be widely used in video monitoring field.
Description
Technical field
The present invention relates to field of video monitoring, especially a kind of monitoring alarm method for factory's accident.
Background technology
Petrochemical factory's incident detection now often uses wireless monitoring technology, video sensor is arranged in ad-hoc location, landification equipment in petrochemical factory or scene are monitored, and utilize radio wave to come transmission of video or view data, the image scene of key position is transferred to terminal in real time, and can automatically reports to the police to accident.In wireless supervisory control system, video sensor is responsible for making a video recording to guarded region, and converts video and image to the corresponding signal of telecommunication, utilizes sensor node to transmit.Be difficult to arrive or cable is laid with the region of difficulty because equipment multi-section is deployed in personnel, and sensor node self-energy is limited, so need under the prerequisite not changing original video and view data, reduce the data that will transmit as far as possible, extend the useful life of watch-dog.
Existing petrochemical factory wireless monitor scheme is that video sensor module arrangement is on-the-spot at landification equipment, gathers, and extract characteristics of image live video or picture.The video collected and view data carry out processing (typically using data compression technique) by video sensor module, reduce the data volume of transmission, and send the data to terminal system by wireless communication module.Terminal system, by the data that receive of former and later two sampled points of contrast, judges whether the image of former and later two sampled points changes, thus judges petrochemical factory whether an emergency occurred (as leakage, on fire etc.) and report to the police.
Adopt this scheme, the finite energy of video sensor module, require higher to the processing capacity of video and view data in video sensor module.And in petrochemical factory, petrochemical equipment is in a single state for a long time, the identical video of long-time transmission or image easily cause data redundancy, make energy consumption higher, shorten the useful life of watch-dog.
Summary of the invention
In order to solve the problems of the technologies described above, the object of the invention is: the monitoring alarm method that a kind of low amount of transmitting data for factory's accident is provided.
The technical solution adopted in the present invention is: a kind of monitoring alarm method for factory's accident, comprises the following steps:
Present sample image is converted to HHS set and initial coordinate collection preserving by B, video sensor usage level hierarchy slicing algorithm;
HHS set is sent to monitoring terminal system by C, video sensor;
D, the initial coordinate collection of current HHS set and a upper sampled images to be deleted;
The above-mentioned HHS received set is gathered with the HHS of a upper sampled images and is contrasted by E, monitoring terminal system, if data consistent, the HHS deleting a sampled images gathers and repeats described step B to step e, otherwise monitoring terminal system is reported to the police and is obtained the initial coordinate collection of present sample image in video sensor, then carry out the undistorted reduction of image in conjunction with current HHS set, thus obtain the image information of current sampling point.
Further, also steps A is included: if present sample image is first sampled images before described step B, present sample image is converted to HHS set and initial coordinate collection by video sensor usage level hierarchy slicing algorithm, and HHS set and initial coordinate collection are sent to terminal system; After being sent, HHS set is deleted by video sensor; Monitoring terminal system utilizes the HHS received to gather and initial coordinate collection carries out the undistorted reduction of original image.
Further, described horizontal slice Slicing Algorithm comprises the following steps:
S1, the matrix data of present sample image to be rearranged in order, all data are made to form an one-dimension array, and these one-dimension array data are converted to ladder equation, be plotted in two-dimensional coordinate in order to fasten, form the staircase curve figure of image, abscissa is data sequence number, and ordinate is data value;
S2, be that the unit square of 1 is as basic structural element by the length of side;
S3, with in this structural element Matching sub-image region with and the region that only structural element size is corresponding in vertical direction therewith, and calculate the number of matching area and the area of matching area, record the initial coordinate of each matching area;
S4, basic structural element is increased a unit square in the horizontal direction at every turn, forms a new structural element, then repeat step S3 to step S4, until all subgraph regions all mate by structural element;
S5, obtain the set of a matching area according to length sequence's arrangement of structural element, this set is called as HHS set; The all coordinates obtained in above-mentioned steps S3 obtain an initial coordinate collection.
The invention has the beneficial effects as follows: the present invention by horizontal slice Slicing Algorithm when not improving hardware cost, the change of image can be real-time monitored when not changing initial data, and when occurring abnormal, undistorted reduction is carried out to original image, utilize it to carry out monitoring to the single environment of plant and greatly can reduce volume of transmitted data and transmission energy consumption, improve the useful life of watch-dog.
Accompanying drawing explanation
Fig. 1 is the flow chart of steps of the inventive method;
Fig. 2 is the flow chart of steps of horizontal slice Slicing Algorithm in the inventive method;
Fig. 3 is the staircase curve figure of a random matrix;
Fig. 4 is the horizontal slice slice map of one group of random data.
Embodiment
With reference to Fig. 1, a kind of monitoring alarm method for factory's accident, comprises the following steps:
Present sample image is converted to HHS set and initial coordinate collection preserving by B, video sensor usage level hierarchy slicing (Horizontal Hierarchy Slicing, HHS) algorithm;
HHS set is sent to monitoring terminal system by C, video sensor;
D, the initial coordinate collection of current HHS set and a upper sampled images to be deleted;
The above-mentioned HHS received set is gathered with the HHS of a upper sampled images and is contrasted by E, monitoring terminal system, if data consistent, the HHS deleting a sampled images gathers and repeats described step B to step e, otherwise monitoring terminal system is reported to the police and is obtained the initial coordinate collection of present sample image in video sensor, then carry out the undistorted reduction of image in conjunction with current HHS set, thus obtain the image information of current sampling point.
Be further used as preferred embodiment, also steps A is included: if present sample image is first sampled images before described step B, present sample image is converted to HHS set and initial coordinate collection by video sensor usage level hierarchy slicing algorithm, and HHS set and initial coordinate collection are sent to terminal system; After being sent, HHS set is deleted by video sensor; Monitoring terminal system utilizes the HHS received to gather and initial coordinate collection carries out the undistorted reduction of original image.
Be further used as preferred embodiment, described horizontal slice Slicing Algorithm comprises the following steps:
S1, the matrix data of present sample image to be rearranged in order, all data are made to form an one-dimension array, and these one-dimension array data are converted to ladder equation, be plotted in two-dimensional coordinate in order to fasten, form the staircase curve figure of image, abscissa is data sequence number, and ordinate is data value;
S2, be that the unit square of 1 is as basic structural element by the length of side;
S3, with in this structural element Matching sub-image region with and the region that only structural element size is corresponding in vertical direction therewith, and calculate the number of matching area and the area of matching area, record the initial coordinate of each matching area;
S4, basic structural element is increased a unit square in the horizontal direction at every turn, forms a new structural element, then repeat step S3 to step S4, until all subgraph regions all mate by structural element;
S5, obtain the set of a matching area according to length sequence's arrangement of structural element, this set is called as HHS set; The all coordinates obtained in above-mentioned steps S3 obtain an initial coordinate collection.
The specific embodiment of the present invention is illustrated below in conjunction with Fig. 1-4:
With reference in Fig. 3, the image matrix data (Fig. 3 left matrix) collected by each sampled point rearranges in order, all data are made to form an one-dimension array (one-dimension array below Fig. 3), and these one-dimension array data are converted to ladder equation, be plotted in two-dimensional coordinate in order and fasten (X-Y coordinate system), form staircase curve figure (Fig. 3 right side of image, dotted line is raw data plot, solid line is staircase curve), abscissa is data sequence number, and ordinate is data value.
In Fig. 4, the 1st step length of side is that the unit square of 1 is as basic structural element; Step S3 with in this structural element Matching sub-image region with and the region that only structural element size is corresponding in vertical direction therewith, and calculate the number of matching area and the area of matching area, record the initial coordinate of each matching area; Basic structural element is increased a unit square by step S4 at every turn in the horizontal direction, forms a new structural element, then repeats step S3 and step S4, until all subgraph regions all mate by structural element.Rectangles different in Fig. 4 represents the matching area of the structural element of different length, and in Fig. 4, the HHS set of random data set is as shown in table 1 below:
Table 1:
| Slice length | 1 | 3 | 4 | 6 | 8 | 11 | 14 | 16 |
| Section number | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| Initial coordinate | (9，8) | (8,7) | (7,6) | (6,5) | (5,4) | (4,3) | (3,2) | (2,1) |
Video sensor transmits and the HHS set only needing transmission current sampling point to generate.Be transmitted rear video transducer and delete the HHS set of current sampling point and the initial coordinate collection data of previous sampled point, and retain the initial coordinate data of current sampling point.The HHS of the current sampling point received gathers to gather with the HHS of previous sampled point and contrasts by terminal system.If current HHS set is gathered consistent with the HHS of previous sampled point, terminal system will delete the HHS set of last sampled point, and continue the HHS set accepting next sampled point.If current HHS set is gathered inconsistent with the HHS of previous sampled point, terminal system is then reported to the police, and require that video sensor transmits the initial coordinate collection data of current sampling point, then carry out the undistorted reduction of image in conjunction with current HHS set, obtain the image information of current sampling point in real time.
More than that better enforcement of the present invention is illustrated, but the invention is not limited to described embodiment, those of ordinary skill in the art can also make all equivalents or replacement under the prerequisite without prejudice to spirit of the present invention, and these equivalent distortion or replacement are all included in the application's claim limited range.
Claims (3)
1. for a monitoring alarm method for factory's accident, it is characterized in that: comprise the following steps:
Present sample image is converted to HHS set and initial coordinate collection preserving by B, video sensor usage level hierarchy slicing algorithm;
HHS set is sent to monitoring terminal system by C, video sensor;
D, the initial coordinate collection of current HHS set and a upper sampled images to be deleted;
The above-mentioned HHS received set is gathered with the HHS of a upper sampled images and is contrasted by E, monitoring terminal system, if data consistent, the HHS deleting a sampled images gathers and repeats described step B to step e, otherwise monitoring terminal system is reported to the police and is obtained the initial coordinate collection of present sample image in video sensor, then carry out the undistorted reduction of image in conjunction with current HHS set, thus obtain the image information of current sampling point.
2. a kind of monitoring alarm method for factory's accident according to claim 1, it is characterized in that: before described step B, also include steps A: if present sample image is first sampled images, present sample image is converted to HHS set and initial coordinate collection by video sensor usage level hierarchy slicing algorithm, and HHS set and initial coordinate collection are sent to terminal system; After being sent, HHS set is deleted by video sensor; Monitoring terminal system utilizes the HHS received to gather and initial coordinate collection carries out the undistorted reduction of original image.
3. a kind of monitoring alarm method for factory's accident according to claim 1 and 2, is characterized in that: described horizontal slice Slicing Algorithm comprises the following steps:
S1, the matrix data of present sample image to be rearranged in order, all data are made to form an one-dimension array, and these one-dimension array data are converted to ladder equation, be plotted in two-dimensional coordinate in order to fasten, form the staircase curve figure of image, abscissa is data sequence number, and ordinate is data value;
S2, be that the unit square of 1 is as basic structural element by the length of side;
S3, with in this structural element Matching sub-image region with and the region that only structural element size is corresponding in vertical direction therewith, and calculate the number of matching area and the area of matching area, record the initial coordinate of each matching area;
S4, basic structural element is increased a unit square in the horizontal direction at every turn, forms a new structural element, then repeat step S3 to step S4, until all subgraph regions all mate by structural element;
S5, obtain the set of a matching area according to length sequence's arrangement of structural element, this set is called as HHS set; The all coordinates obtained in above-mentioned steps S3 obtain an initial coordinate collection.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110401797A (en) * | 2018-08-14 | 2019-11-01 | 小蚁科技（香港）有限公司 | Method and system for low-power visual sensor |
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Application publication date: 20150311 |