CN109731171B - Safety protection system for medical place - Google Patents
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- CN109731171B CN109731171B CN201910024845.7A CN201910024845A CN109731171B CN 109731171 B CN109731171 B CN 109731171B CN 201910024845 A CN201910024845 A CN 201910024845A CN 109731171 B CN109731171 B CN 109731171B
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Abstract
As a classification of diseases, injuries can be acute, such as poisoning by chemicals, burns, etc., and the damage can be immediately manifested, with clear etiology; it may also be chronic, and it takes many years, even the next generation, to show up, and the etiology needs to be revealed through investigation. Chronic poisoning of humans can occur in natural conditions, such as excessive fluorine content in drinking water, which can cause mottled glaze and even affect bone growth to form fluorosis. However, more diseases are caused artificially, and many occupational diseases and public diseases, such as silicosis, organic mercury poisoning caused water bearing diseases, cadmium poisoning caused pain diseases and the like, are all the same. Many drug-induced diseases are also a chemical injury. The invention relates to a safety protection system for a medical place. The reliability of the use of the medical equipment can be improved through the invention.
Description
Technical Field
The invention relates to the field of disease diagnosis, in particular to a safety protection system for a medical place.
Background
As a classification of diseases, injuries can be acute, such as poisoning by chemicals, burns, etc., and the damage can be immediately manifested, with clear etiology; it may also be chronic, and it takes many years, even the next generation, to show up, and the etiology needs to be revealed through investigation. Chronic poisoning of humans can occur in natural conditions, such as excessive fluorine content in drinking water, which can cause mottled glaze and even affect bone growth to form fluorosis. However, more diseases are caused artificially, and many occupational diseases and public diseases, such as silicosis, organic mercury poisoning caused water bearing diseases, cadmium poisoning caused pain diseases and the like, are all the same. Many drug-induced diseases are also a chemical injury. Some chemical damage is manifested in the next generation, such as seal strange fetus (brachial deformity) caused by reaction cessation is a well-known example, and estrogen drugs taken in early gestation can cause vaginal cancer in the next generation of girls in their teens.
Frostbite, burn, electric shock, radiation injury, altitude sickness, caisson's disease and the bad influence of noise on hearing and blood pressure caused by physical factors are well known, but the wide application of radio telegraph, telephone, radio, television and radar makes modern people soak in electromagnetic waves of various frequencies to discuss life regardless of people, which is a new environment which has not been contacted in human development history and has influence on human survival and proliferation, still a problem to be explored.
Disclosure of Invention
According to an aspect of the invention, there is provided a medical facility security system, the system comprising:
the clinical gastric lavage structure comprises a control module, a display module, a power supply module, a positive and negative pressure pump and a positive and negative pressure regulating valve;
wherein, in the clinical gastric lavage structure, the control module is respectively connected with the display module, the power module, the positive and negative pressure pump and the positive and negative pressure regulating valve.
More specifically, in the medical site safety protection system, the system further comprises:
and the button camera shooting equipment is arranged at the top of the positive and negative pressure regulating valve and used for shooting around the positive and negative pressure regulating valve so as to obtain a button camera shooting image.
More specifically, in the medical site safety protection system, the system further comprises:
the image restoration device is connected with the button camera device and used for receiving a button camera image, averagely dividing the button camera image into blocks with the sizes of the corresponding blocks based on the distance between the average brightness of the button camera image and the central value of a preset brightness range, selecting corresponding images with different dynamics for each block based on the image degradation degree of the block to restore so as to obtain restored blocks, and splicing the obtained restored blocks so as to obtain a restored spliced image;
the median filtering device is connected with the image restoration device and used for receiving the restored spliced image, executing median filtering processing based on noise amplitude on the restored spliced image to obtain a corresponding field filtering image and outputting the field filtering image;
a distortion degree extraction device, connected to the median filtering device, for receiving the live filtered image, performing a geometric distortion degree extraction operation on the live filtered image to obtain a corresponding live geometric distortion degree, and outputting the live geometric distortion degree, where the performing a geometric distortion degree extraction operation on the live filtered image to obtain a corresponding live geometric distortion degree includes: executing geometric distortion degree extraction operation on the field filtering image based on each R component value of each pixel point of the field filtering image so as to obtain corresponding field geometric distortion degree;
the data judgment device is connected with the geometric distortion degree extraction device and used for receiving the field geometric distortion degree, sending a continuous processing command when the field geometric distortion degree exceeds a preset geometric distortion degree and sending a stop processing command when the field geometric distortion degree does not exceed the preset geometric distortion degree;
a multi-time correction device, connected to the data determination device and the geometric distortion extraction device, respectively, for performing a plurality of times of image geometric correction processing on the field filtered image to obtain a plurality of times of corrected images and outputting the plurality of times of corrected images when receiving the continuous processing command, and for directly taking the field filtered image as the plurality of times of corrected images and outputting the plurality of times of corrected images when receiving the stop processing command;
and the FPM DRAM storage equipment is connected with the multi-time correction equipment and used for receiving the multi-time correction images and temporarily storing the multi-time correction images.
The invention has at least the following two important points:
(1) whether the reference pixel points used around are stripe points or not is analyzed, so that each stripe point is removed in the subsequent mean value filtering process, and the image filtering precision is improved;
(2) on the basis of executing median filtering processing based on noise amplitude on an image to be processed, whether multiple times of geometric correction processing meeting the image data requirement after the median filtering processing is started or not is determined according to the geometric distortion degree judgment result of the image after the median filtering processing.
Detailed Description
Embodiments of the medical facility security system of the present invention will now be described in detail.
The specific operation mode of the clinical gastric lavage machine is as follows, the gastric lavage machine is provided with two large glass bottles (one is used for filling gastric lavage liquid and the other is used for collecting gastric extract) with scales and capable of metering and a positive-negative two-way motor, the gastric lavage liquid is filled into the stomach by opening positive pressure, and after a preset amount (generally 500ml each time) is reached, the liquid in the stomach can be pumped out by closing the positive pressure and using negative pressure suction instead. This is repeated for a plurality of times until the cleaning is completed. The catheter inserted into the stomach is preferably made of thicker stomach tube or other rubber tube, and is usually inserted through mouth.
In order to overcome the defects of the clinical gastric lavage machine in the prior art, the invention builds a safety protection system in a medical place.
The medical site safety protection system shown according to the embodiment of the invention comprises:
the clinical gastric lavage structure comprises a control module, a display module, a power supply module, a positive and negative pressure pump and a positive and negative pressure regulating valve;
wherein, in the clinical gastric lavage structure, the control module is respectively connected with the display module, the power module, the positive and negative pressure pump and the positive and negative pressure regulating valve.
Next, a detailed description of the structure of the medical-site safeguard system according to the present invention will be further described.
In the medical facility safety protection system, the system further comprises: and the button camera shooting equipment is arranged at the top of the positive and negative pressure regulating valve and used for shooting around the positive and negative pressure regulating valve so as to obtain a button camera shooting image.
In the medical facility safety protection system, the system further comprises:
the image restoration device is connected with the button camera device and used for receiving a button camera image, averagely dividing the button camera image into blocks with the sizes of the corresponding blocks based on the distance between the average brightness of the button camera image and the central value of a preset brightness range, selecting corresponding images with different dynamics for each block based on the image degradation degree of the block to restore so as to obtain restored blocks, and splicing the obtained restored blocks so as to obtain a restored spliced image;
the median filtering device is connected with the image restoration device and used for receiving the restored spliced image, executing median filtering processing based on noise amplitude on the restored spliced image to obtain a corresponding field filtering image and outputting the field filtering image;
a distortion degree extraction device, connected to the median filtering device, for receiving the live filtered image, performing a geometric distortion degree extraction operation on the live filtered image to obtain a corresponding live geometric distortion degree, and outputting the live geometric distortion degree, where the performing a geometric distortion degree extraction operation on the live filtered image to obtain a corresponding live geometric distortion degree includes: executing geometric distortion degree extraction operation on the field filtering image based on each R component value of each pixel point of the field filtering image so as to obtain corresponding field geometric distortion degree;
the data judgment device is connected with the geometric distortion degree extraction device and used for receiving the field geometric distortion degree, sending a continuous processing command when the field geometric distortion degree exceeds a preset geometric distortion degree and sending a stop processing command when the field geometric distortion degree does not exceed the preset geometric distortion degree;
a multi-time correction device, connected to the data determination device and the geometric distortion extraction device, respectively, for performing a plurality of times of image geometric correction processing on the field filtered image to obtain a plurality of times of corrected images and outputting the plurality of times of corrected images when receiving the continuous processing command, and for directly taking the field filtered image as the plurality of times of corrected images and outputting the plurality of times of corrected images when receiving the stop processing command;
the FPM DRAM storage device is connected with the multi-time correction device and used for receiving the multi-time correction images and temporarily storing the multi-time correction images;
the region measuring device is connected with the multi-time correction device and used for receiving the multi-time correction images, measuring fringe regions in the multi-time correction images and determining the total number of pixel points occupied by the fringe regions;
the noise balance device is connected with the region measuring device and used for determining the total number of pixel points of the multi-time correction image based on the resolution of the multi-time correction image and dividing the total number of the pixel points occupied by the fringe region by the total number of the pixel points of the multi-time correction image to obtain a balance proportion;
the filtering triggering device is connected with the noise balancing device and used for sending out a filtering starting signal when the balancing proportion exceeds the limit and sending out a filtering closing signal when the balancing proportion does not exceed the limit;
the self-adaptive filtering equipment is respectively connected with the filtering triggering equipment and the area measuring equipment, and is used for entering a self-adaptive filtering mode when receiving the filtering starting signal and exiting the self-adaptive filtering mode when receiving the filtering closing signal; the adaptive filtering apparatus performs the following filtering processing in the adaptive filtering mode: determining a reference pixel point extraction area based on the resolution of the multi-time correction image, taking each pixel point in the multi-time correction image as a pixel point to be processed, extracting each reference pixel point of the pixel point to be processed based on the reference pixel point extraction area, and determining the pixel average value of the pixel point to be processed based on each reference pixel point;
and the clothing identification device is connected with the self-adaptive filtering device and used for receiving the filtered image, matching clothing of the person object in the filtered image based on various preset medical person clothing, outputting a person reliable instruction if matching is successful, and outputting a person unreliable instruction if matching is failed.
In the healthcare facility security system: performing a noise amplitude-based median filtering process on the restored stitched image comprises: the larger the noise amplitude of the restored stitched image is, the more times the median filtering process is performed on the restored stitched image is.
In the healthcare facility security system: the preset brightness range is a brightness range limited by a preset brightness upper threshold and a preset brightness lower threshold, and the preset brightness upper threshold is larger than the preset brightness lower threshold.
In the healthcare facility security system: in the image restoration apparatus, the closer the average brightness of the button camera image is to the center value of the preset brightness range, the larger the corresponding block into which the button camera image is equally divided.
In the healthcare facility security system: in the image restoration device, for each block, the greater the degree of image degradation of the block, the greater the strength of selected image restoration.
In the medical facility safety protection system, the system further comprises: and the MMC storage equipment is connected with the image restoration equipment and is used for pre-storing the preset brightness range.
In the healthcare facility security system: determining the pixel average value of the pixel point to be processed based on the reference pixel points comprises: one or more pixel points located in the fringe region are removed from the reference pixel points to obtain pixel points to be used, and mean value calculation is performed on the pixel points to be used to obtain a pixel average value of the pixel points to be processed; and the self-adaptive filtering equipment outputs a filtered image with the resolution same as that of the multi-time corrected image based on the average value of each pixel point to be processed.
In the healthcare facility security system: determining a reference pixel point extraction region based on the resolution of the multiple corrected images: the determined extraction area of the fixed reference pixel points is in direct proportion to the resolution of the multiple corrected images; wherein determining the total number of pixel points of the multiple corrected images based on the resolutions of the multiple corrected images comprises: and the resolution of the multiple corrected images comprises a horizontal resolution and a vertical resolution, and the horizontal resolution and the vertical resolution are multiplied to obtain the total number of pixel points of the multiple corrected images.
In addition, FPM DRAM (Fast Page Mode RAM): fast page mode memory. Is a memory that was commonly used during time 486 (also used as video memory). 72 lines, 5V voltage, 32bit bandwidth and basic speed of more than 60 ns. His read cycle begins with the triggering of a row in the DRAM array and then moves to the location indicated by the memory address, i.e., contains the desired data. The first message must be validated and stored to the system in preparation for the next cycle. This introduces a "wait state" because the CPU must wait for the memory to complete a cycle in a foolproof manner. One important reason for the widespread use of FPM is that it is a standard and safe product and is inexpensive.
By adopting the medical place safety protection system, aiming at the technical problem that the intellectualization level of clinical gastric lavage equipment in the prior art is not high, the medical place safety protection system adopts a clinical gastric lavage structure and comprises a control module, a display module, a power supply module, a positive and negative pressure pump and a positive and negative pressure regulating valve; in the clinical gastric lavage structure, the control module is respectively connected with the display module, the power supply module, the positive and negative pressure pump and the positive and negative pressure regulating valve; the button camera shooting equipment is arranged at the top of the positive and negative pressure regulating valve and used for shooting around the positive and negative pressure regulating valve to obtain a button camera shooting image; the clothing identification device is connected with the self-adaptive filtering device and used for receiving the filtered images, matching clothing of the person objects in the filtered images based on various preset medical person clothing, outputting a person reliable instruction if matching is successful, and outputting a person unreliable instruction if matching is failed; thereby avoiding unreliable personnel to operate the clinical gastric lavage equipment.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (8)
1. A medical facility security system, the system comprising:
the clinical gastric lavage structure comprises a control module, a display module, a power supply module, a positive and negative pressure pump and a positive and negative pressure regulating valve;
wherein, in the clinical gastric lavage structure, the control module is respectively connected with the display module, the power supply module, the positive and negative pressure pump and the positive and negative pressure regulating valve;
the button camera shooting equipment is arranged at the top of the positive and negative pressure regulating valve and used for shooting around the positive and negative pressure regulating valve to obtain a button camera shooting image;
the image restoration device is connected with the button camera device and used for receiving a button camera image, averagely dividing the button camera image into blocks with the sizes of the corresponding blocks based on the distance between the average brightness of the button camera image and the central value of a preset brightness range, selecting corresponding images with different dynamics for each block based on the image degradation degree of the block to restore so as to obtain restored blocks, and splicing the obtained restored blocks so as to obtain a restored spliced image;
the median filtering device is connected with the image restoration device and used for receiving the restored spliced image, executing median filtering processing based on noise amplitude on the restored spliced image to obtain a corresponding field filtering image and outputting the field filtering image;
a distortion degree extraction device, connected to the median filtering device, for receiving the live filtered image, performing a geometric distortion degree extraction operation on the live filtered image to obtain a corresponding live geometric distortion degree, and outputting the live geometric distortion degree, where the performing a geometric distortion degree extraction operation on the live filtered image to obtain a corresponding live geometric distortion degree includes: executing geometric distortion degree extraction operation on the field filtering image based on each R component value of each pixel point of the field filtering image so as to obtain corresponding field geometric distortion degree;
the data judgment device is connected with the geometric distortion degree extraction device and used for receiving the field geometric distortion degree, sending a continuous processing command when the field geometric distortion degree exceeds a preset geometric distortion degree and sending a stop processing command when the field geometric distortion degree does not exceed the preset geometric distortion degree;
a multi-time correction device, connected to the data determination device and the geometric distortion extraction device, respectively, for performing a plurality of times of image geometric correction processing on the field filtered image to obtain a plurality of times of corrected images and outputting the plurality of times of corrected images when receiving the continuous processing command, and for directly taking the field filtered image as the plurality of times of corrected images and outputting the plurality of times of corrected images when receiving the stop processing command;
the FPM DRAM storage device is connected with the multi-time correction device and used for receiving the multi-time correction images and temporarily storing the multi-time correction images;
the region measuring device is connected with the multi-time correction device and used for receiving the multi-time correction images, measuring fringe regions in the multi-time correction images and determining the total number of pixel points occupied by the fringe regions;
the noise balance device is connected with the region measuring device and used for determining the total number of pixel points of the multi-time correction image based on the resolution of the multi-time correction image and dividing the total number of the pixel points occupied by the fringe region by the total number of the pixel points of the multi-time correction image to obtain a balance proportion;
the filtering triggering device is connected with the noise balancing device and used for sending out a filtering starting signal when the balancing proportion exceeds the limit and sending out a filtering closing signal when the balancing proportion does not exceed the limit;
the self-adaptive filtering equipment is respectively connected with the filtering triggering equipment and the area measuring equipment, and is used for entering a self-adaptive filtering mode when receiving the filtering starting signal and exiting the self-adaptive filtering mode when receiving the filtering closing signal; the adaptive filtering apparatus performs the following filtering processing in the adaptive filtering mode: determining a reference pixel point extraction area based on the resolution of the multi-time correction image, taking each pixel point in the multi-time correction image as a pixel point to be processed, extracting each reference pixel point of the pixel point to be processed based on the reference pixel point extraction area, and determining the pixel average value of the pixel point to be processed based on each reference pixel point;
and the clothing identification device is connected with the self-adaptive filtering device and used for receiving the filtered images, matching clothing of the person object in the filtered images based on various preset medical person clothing, outputting a person reliable instruction if matching is successful, and outputting a person unreliable instruction if matching is failed.
2. The medical facility security system of claim 1, wherein:
performing a noise amplitude-based median filtering process on the restored stitched image comprises: the larger the noise amplitude of the restored stitched image is, the more times the median filtering process is performed on the restored stitched image is.
3. The medical facility security system of claim 2, wherein:
the preset brightness range is a brightness range limited by a preset brightness upper threshold and a preset brightness lower threshold, and the preset brightness upper threshold is larger than the preset brightness lower threshold.
4. The medical facility security system of claim 3, wherein:
in the image restoration apparatus, the closer the average brightness of the button camera image is to the center value of the preset brightness range, the larger the corresponding block into which the button camera image is equally divided.
5. The medical facility security shield system of claim 4, wherein:
in the image restoration device, for each block, the greater the degree of image degradation of the block, the greater the strength of selected image restoration.
6. The medical facility security shield system of claim 5, wherein said system further comprises:
and the MMC storage equipment is connected with the image restoration equipment and is used for pre-storing the preset brightness range.
7. The medical facility security shield system of claim 6, wherein:
determining the pixel average value of the pixel point to be processed based on the reference pixel points comprises: one or more pixel points located in the fringe region are removed from the reference pixel points to obtain pixel points to be used, and mean value calculation is performed on the pixel points to be used to obtain a pixel average value of the pixel points to be processed;
and the self-adaptive filtering equipment outputs a filtered image with the resolution same as that of the multi-time corrected image based on the average value of each pixel point to be processed.
8. The medical facility security system of claim 7, wherein:
determining a reference pixel point extraction region based on the resolution of the multiple corrected images: the determined extraction area of the fixed reference pixel points is in direct proportion to the resolution of the multiple corrected images;
wherein determining the total number of pixel points of the multiple corrected images based on the resolutions of the multiple corrected images comprises: and the resolution of the multiple corrected images comprises a horizontal resolution and a vertical resolution, and the horizontal resolution and the vertical resolution are multiplied to obtain the total number of pixel points of the multiple corrected images.
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