CN115530767B - Disposable medical endoscope system and module - Google Patents
Disposable medical endoscope system and module Download PDFInfo
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Abstract
The invention relates to the technical field of endoscopes, in particular to a disposable medical endoscope system and a module, which comprise an endoscopic transmission acquisition module, an endoscopic cloud storage module, an internal state analysis processing module, an internal state judgment module, an endoscopic early warning module and an endoscopic display module.
Description
Technical Field
The invention relates to the technical field of endoscopes, in particular to a disposable medical endoscope system and a module.
Background
The endoscope is a detection instrument integrating traditional optics, ergonomics, precision machinery, modern electronics, mathematics and software into a whole, and is provided with an image sensor, an optical lens, a light source illumination device, a mechanical device and the like, and can enter the stomach through the oral cavity or enter the body through other natural pores; since a lesion which cannot be displayed by an X-ray can be seen by an endoscope, it is very useful for a doctor.
At present, to the function that is only a simple data acquisition and transmission in the endoscope module, people can't confirm whether the data of his collection is correct and comprehensive, whether caused losing and the transmission mistake of data when the transmission, and can't carry out numerical signal conversion with the combination analysis of data, the technical staff's of being not convenient for directly perceived understanding.
To this end, we propose disposable medical endoscope systems and modules.
Disclosure of Invention
The invention aims to provide a disposable medical endoscope system and a module, the endoscope system collects data of the internal condition of a patient through an endoscope module, transmits, stores and updates the collected data to ensure the reliability of the data, performs data analysis according to the collected and transmitted related data, analyzes a plurality of related data groups, correlates different data to increase the accuracy of the data analysis, performs numerical conversion calculation according to the plurality of related data groups, performs evaluation calculation according to the converted numerical value to increase the intuition of the data, facilitates observation of technicians, performs the reliability of the collected and transmitted data in the endoscope module according to the numerical result of the evaluation calculation to increase the accuracy of the detection result, avoids data loss and data errors, saves time and improves the working efficiency.
The purpose of the invention can be realized by the following technical scheme: the disposable medical endoscope system comprises an endoscopic transmission acquisition module, an endoscopic cloud storage module, an internal state analysis processing module, an internal condition judgment module, an endoscopic early warning module and an endoscopic display module;
the endoscopic transmission and acquisition module is used for acquiring and transmitting data of the internal body condition of a patient and marking the acquired data as endoscopic information;
the endoscopic cloud storage module is used for storing and updating data acquired and transmitted by a patient in real time;
the internal state analysis processing module is used for extracting data in the endoscopic cloud storage module, and performing endoscopic acquisition and transmission processing operation on the data acquired and transmitted by the endoscope to obtain a positive acquisition array and a negative acquisition array, wherein the positive acquisition array comprises a positive acquisition and storage floating value, a positive acquisition frequency grade value and a positive mass signal group, and the negative acquisition array comprises a negative acquisition and storage floating value, a negative acquisition frequency grade value and a negative mass signal group;
the internal condition judging module is used for carrying out endoscopic position judging operation on the positive mining array and the negative mining array to obtain a judging signal group, and the judging signal group comprises a normal signal or an abnormal signal;
the endoscopic early warning module is used for identifying normal signals and abnormal signals, generating a character of 'no error in acquisition and transmission' when the normal signals are identified, generating a character of 'no error in acquisition and transmission' when the abnormal signals are identified, sending an abnormal alarm, and transmitting the character of 'no error in acquisition and transmission' and the character of 'error in acquisition and transmission' to the endoscopic display module;
the endoscopic display module is used for receiving and displaying the words of 'collection and transmission are error-free' and the words of 'collection and transmission are error'.
Further, the endoscopic information comprises internal acquisition data, acquisition and storage data, acquisition and frequency data, frame transmission data and identification transmission data according to the internal acquisition data;
the internal acquisition data represents patient information acquired during operation of the endoscope, the acquisition data represents the size of a data occupied space corresponding to the internal acquisition data, the acquisition data represents the real-time frequency of operation of a chip of the endoscope during operation of the endoscope, the transmission frame data represents the number of frames of a real-time transmission video of the acquisition data during the operation time, and the transmission data represents the resolution of the real-time transmission video of the acquisition data during the operation time.
Further, the specific operation process of the endoscopic acquisition and transmission treatment operation comprises the following steps:
selecting corresponding acquisition and storage data according to a plurality of different internal acquisition data, setting a preset value corresponding to the acquisition and storage data, calibrating the preset value corresponding to the acquisition and storage data as an acquisition and storage threshold value, comparing the acquisition and storage data with the acquisition and storage threshold value, judging that the acquisition and storage data is completely acquired when the acquisition and storage data is greater than the acquisition and storage threshold value, generating an acquisition and combination signal, judging that the acquisition and storage data is incompletely acquired when the acquisition and storage data is less than or equal to the acquisition and storage threshold value, generating an acquisition and deterioration signal, identifying the acquisition and deterioration signal, selecting the acquisition and storage data corresponding to the acquisition and combination signal and calibrating the acquisition and storage data as positive acquisition data, selecting the acquisition and storage data corresponding to the acquisition and deterioration signal and calibrating the acquisition and deterioration signal as negative acquisition data;
carrying out mean value calculation on a plurality of acquisition and storage data corresponding to the acquisition and storage data, calculating an acquisition and storage mean value, carrying out difference value calculation on the acquisition and storage mean value and the acquisition and storage data corresponding to the plurality of data respectively, calculating a plurality of acquisition and storage difference values, carrying out mean value calculation on the plurality of acquisition and storage difference values, calculating an acquisition and storage mean difference value, and substituting the acquisition and storage mean value and the acquisition and storage mean difference value into an acquisition and storage floating calculation formula:
wherein, in the step (A),
the conversion factor is expressed as a positive mining and storing floating value, cj is expressed as a positive mining and storing average value, cc is expressed as a positive mining and storing average difference value, and u1 is expressed as a conversion factor of the positive mining and storing average difference value;
calculating a negative mining and storing floating value according to a calculation method of the positive mining and storing floating value;
extracting corresponding sampling data, transmission frame data and identification data according to the sampling data to perform sampling array processing, and processing to obtain a sampling frequency grade value and a forward quality signal group;
extracting corresponding sampling frequency data, transmission frame data and transmission identification data from the negative sampling data according to a processing mode of the positive sampling array processing, and performing negative sampling array processing to obtain a negative sampling frequency grade value and a negative quality signal group;
and transmitting the positive sampling and storing floating value, the positive sampling frequency grade value and the positive mass signal group corresponding to the positive sampling data, and the negative sampling and storing floating value, the negative sampling frequency grade value and the negative mass signal group corresponding to the negative sampling data to the internal condition judgment module.
Further, the concrete process of the positive array processing is as follows:
performing difference calculation on a plurality of corresponding sampling data and a sampling threshold to obtain a plurality of sampling difference values, respectively comparing the plurality of sampling difference values with a grade decision value, when the grade decision value is smaller than the sampling difference value by less than two times, deciding to be a first-grade sampling value, when the two times of grade decision value is smaller than the sampling difference value by less than three times, deciding to be a second-grade sampling value, when the sampling difference value is greater than the three times of grade decision value, deciding to be a third-grade sampling value, wherein the grade decision value is a preset value, and marking the first-grade sampling value, the second-grade sampling value and the third-grade sampling value as positive sampling grade values, and the sampling threshold value and the grade decision value are both preset values;
marking the transmitted and identified data as Cb, and marking the transmitted frame data as Zs;
according to the calculation formula:
calculating the video transmission quality value of the plurality of corresponding transmission frame data and the transmission identification data;
wherein CZ is expressed as a video transmission quality value, delta is expressed as a deviation correction factor, e1 is expressed as a weight coefficient of transmission and identification data, and e2 is expressed as a weight coefficient of transmission frame data;
and comparing the video transmission quality value with a quality threshold, generating an exquisite signal when the video transmission quality value is greater than the quality threshold, generating a common signal when the video transmission quality value is equal to the quality threshold, generating an inferior signal when the video transmission quality value is less than the quality threshold, and marking the exquisite signal, the common signal and the inferior signal as a forward quality signal group together, wherein the quality threshold is a preset value.
Further, the specific operation process of the endoscopic judgment operation comprises the following steps:
sequentially assigning a first-level frequency sampling value, a second-level frequency sampling value and a third-level frequency sampling value to numerical values a1, a2 and a3;
giving the values b1, b2 and b3 to the refinement signal, the ordinary signal and the inferior signal in sequence;
calibrating positive sampling data and negative sampling data into a sampling array, calibrating a positive sampling and storage floating value and a negative sampling and storage floating value into a floating array, calibrating a positive sampling frequency grade value and a negative sampling frequency grade value into a sampling frequency grade array, and calibrating a positive mass signal group and a negative mass signal group into a mass signal array;
selecting real-time internal acquisition data in endoscopic information, matching the real-time internal acquisition data with an acquisition array, matching acquisition and storage data, acquisition frequency data, transmission frame data and transmission identification data corresponding to the real-time internal acquisition data with a floating array, a frequency grade array and a quality signal array respectively, and calibrating the matched numerical values into a real-time data group;
calculating the real-time data set according to the evaluation calculation formula to obtain a working evaluation value of the endoscope module;
and comparing the working evaluation value Pj of the endoscope module with an evaluation threshold value M, generating a normal signal when Pj is larger than M, generating an abnormal signal when Pj is smaller than or equal to M, and transmitting the normal signal and the abnormal signal to the endoscopic early warning module.
Further, the specific process of the real-time data set for evaluation and calculation is as follows:
marking the work evaluation value of the endoscope module as Pj, and marking the matching result of the acquisition and storage data corresponding to the internal acquisition data and the floating array as
And r is 1,2, when r is 1, selecting the floating value of the current collection and storage
When the value of r is 2, selecting the negative sampling and storing floating value
；
Marking the matching result of the sampling data corresponding to the real-time internal sampling data and the frequency grade array as a mark
F is 1,2, when f is 1, a positive frequency acquisition grade value is selected, when f is 2, a negative frequency acquisition grade value is selected, w is 1,2,3, when w is 1, an assignment a1 of a first-level frequency acquisition value is selected, when w is 2, an assignment a2 of a second-level frequency acquisition value is selected, and when w is 3, an assignment a3 of a third-level frequency acquisition value is selected;
matching the data of the frame and the identification data with the quality signal array corresponding to the real-time internal dataMarking of matching results
And the value of k is 1,2, when the value of k is 1, selecting a positive quality signal group, when the value of k is 2, selecting a negative quality signal group, when the value of i is 1,2,3, when the value of i is 1, selecting the assignment b1 of the delicate signal, when the value of i is 2, selecting the assignment b2 of the common signal, when the value of i is 3, selecting the assignment b3 of the poor signal;
according to the calculation formula:
and calculating the work evaluation value Pj of the endoscope module, wherein t1 is represented by a floating array weight coefficient, t2 is represented by a frequency level array weight coefficient, t3 is represented by a quality signal array weight coefficient, and glc is represented by a calculated deviation adjustment factor.
A disposable medical endoscope system, the use method of the disposable medical endoscope system comprises the following steps:
the method comprises the following steps: the endoscopic transmission acquisition module is used for acquiring the internal state of a patient, transmitting the acquired data to the endoscopic cloud storage module, and storing the acquired and transmitted data through the endoscopic cloud storage module;
step two: analyzing and processing the acquired data of the stored data in the endoscopic cloud storage module through an internal state analysis and processing module, so as to obtain a positive acquisition array and a negative acquisition array through analysis;
step three: carrying out numerical calculation and judgment on the positive mining array and the negative mining array through an internal condition judgment module so as to obtain a judgment signal group;
step four: the judgment signal group is identified through an endoscopic early warning module, and a character pattern of' collection and transmission are generated, and an abnormal alarm is given out;
step five: the endoscopic display module displays the words of 'acquisition and transmission are error-free' and the words of 'acquisition and transmission are error'.
The invention has the beneficial effects that:
the endoscope module is used for collecting data of the internal condition of a patient, transmitting, storing and updating the collected data, so that the reliability of the data is ensured, data analysis is carried out according to the collected and transmitted related data, a plurality of related data groups are obtained through analysis, different data are related, so that the accuracy of data analysis is improved, numerical conversion calculation is carried out according to the plurality of related data groups, evaluation calculation is carried out according to the converted numerical values, the intuitiveness of the data is improved, the observation of technicians is facilitated, the reliability of the collected and transmitted data in the endoscope module is carried out according to the numerical result of the evaluation calculation, so that the accuracy of detection results is improved, data loss and data errors are avoided, the time is saved, and the working efficiency is improved.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a system block diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention is a disposable medical endoscope system and module, including an endoscopic transmission sampling module, an endoscopic cloud storage module, an internal state analysis processing module, an internal condition determination module, an endoscopic early warning module, and an endoscopic display module;
the endoscopic transmission acquisition module is used for acquiring and transmitting data of the internal state of a patient, marking the acquired data as endoscopic information, and performing acquisition, transmission, division and processing operation on the endoscopic information, wherein the specific operation process of the acquisition, transmission, division and processing operation is as follows:
acquiring endoscopic information, marking patient information acquired during operation of an endoscope in the endoscopic information as internal acquisition data, marking the size of a data occupied space corresponding to the internal acquisition data acquired during operation of the endoscope in the endoscopic information as acquisition and storage data, marking the real-time frequency of operation of a chip of the endoscope during operation of the endoscope in the endoscopic information as acquisition and frequency data, marking the frame number of real-time transmission videos of the internal acquisition data during operation time in the endoscopic information as transmission frame data, and marking the resolution of the real-time transmission videos of the internal acquisition data during operation time in the endoscopic information as transmission and identification data;
dividing and integrating the internally acquired data, the frequency data, the frame transmission data and the identification data according to the internally acquired data, performing similar integration on the acquired data, the frequency data, the frame transmission data and the identification data corresponding to the internally acquired data, and transmitting an integrated data group to an endoscopic cloud storage module;
the endoscopic cloud storage module is used for receiving internal acquisition data and corresponding acquisition and storage data, acquisition frequency data, frame transmission data and identification transmission data, and updating and storing the data in real time;
the internal state analysis processing module is used for acquiring internal acquisition data and corresponding acquisition and storage data, frequency acquisition data, frame transmission data and identification transmission data from the endoscopic cloud storage module, and performing endoscopic acquisition and transmission processing operation on the conditions of the acquisition data and the transmission data when the endoscope operates according to the internal acquisition data and the corresponding acquisition and storage data, frequency acquisition data, frame transmission data and identification transmission data, and the specific operation process of the endoscopic acquisition and transmission processing operation is as follows:
selecting corresponding acquisition and storage data according to a plurality of different internal acquisition data, setting a preset value corresponding to the acquisition and storage data, calibrating the preset value corresponding to the acquisition and storage data as an acquisition and storage threshold value, comparing the acquisition and storage data with the acquisition and storage threshold value, judging that the acquisition and storage data is completely acquired when the acquisition and storage data is greater than the acquisition and storage threshold value, generating an acquisition and combination signal, judging that the acquisition and storage data is incompletely acquired when the acquisition and storage data is less than or equal to the acquisition and storage threshold value, generating an acquisition and deterioration signal, identifying the acquisition and deterioration signal, selecting the acquisition and storage data corresponding to the acquisition and combination signal and calibrating the acquisition and storage data as positive acquisition data, selecting the acquisition and storage data corresponding to the acquisition and deterioration signal and calibrating the acquisition and deterioration signal as negative acquisition data;
carrying out mean value calculation on a plurality of acquisition and storage data corresponding to the acquisition and storage data, calculating an acquisition and storage mean value, carrying out difference value calculation on the acquisition and storage mean value and the acquisition and storage data corresponding to the plurality of data respectively, calculating a plurality of acquisition and storage difference values, carrying out mean value calculation on the plurality of acquisition and storage difference values, calculating an acquisition and storage mean difference value, and substituting the acquisition and storage mean value and the acquisition and storage mean difference value into an acquisition and storage floating calculation formula:
wherein, in the process,
expressed as a positive mining storage floating value, cj is expressed as a positive mining storage average value, cc is expressed as a positive mining storage average difference value, u1 is expressed as a conversion factor of the positive mining storage average difference value, and meanwhile
A range value is indicated;
carrying out mean value calculation on a plurality of mining and storage data corresponding to the negative mining data, calculating a negative mining and storage mean value, carrying out difference value calculation on the negative mining and storage mean value and the mining and storage data corresponding to the plurality of respectively, calculating a plurality of negative mining and storage difference values, carrying out mean value calculation on the plurality of negative mining and storage difference values, calculating a negative mining and storage average difference value, and substituting the negative mining and storage mean value and the negative mining and storage average difference value into a mining and storage floating calculation formula:
wherein, in the step (A),
expressed as a negative acquisition memory floating value,
expressed as a negative sampling and storage mean value,
expressed as the negative production-average difference value, u2 is expressed as the conversion factor of the negative production-average difference value, and
is shown asA range value;
extracting corresponding frequency acquisition data, frame transmission data and identification data according to the forward acquisition data to perform forward acquisition array processing, which specifically comprises the following steps:
selecting a plurality of corresponding sampling data, setting a preset value of the sampling data and calibrating the preset value as a sampling threshold, performing difference calculation on the sampling data and the sampling threshold, calculating a plurality of sampling difference values, respectively comparing the sampling difference values with a grade decision value, when the grade decision value is smaller than a grade decision value of which the sampling difference value is less than two times, determining the sampling data as a first-grade sampling value, when the two-grade decision value is smaller than a grade decision value of which the sampling difference value is less than three times, determining the sampling data as a second-grade sampling value, when the sampling difference value is greater than the three-grade decision value, determining the sampling data as a third-grade sampling value, wherein the grade decision value is a preset value, and calibrating the first-grade sampling value, the second-grade sampling value and the third-grade sampling value as positive sampling grade values;
selecting a plurality of corresponding transmission frame data and transmission identification data, and according to a calculation formula:
wherein CZ is expressed as a video transmission quality value, delta is expressed as a deviation correction factor, cb is expressed as transmission data, e1 is expressed as a weight coefficient of the transmission data, zs is expressed as transmission frame data, and e2 is expressed as a weight coefficient of the transmission frame data;
extracting a video transmission quality value, setting a preset value of the video transmission quality value and calibrating the preset value as a quality threshold value, judging that the video transmission quality is high when the video transmission quality value is larger than the quality threshold value, generating a refined signal, judging that the video transmission quality is general when the video transmission quality value is equal to the quality threshold value, generating a common signal, judging that the video transmission quality is low when the video transmission quality value is smaller than the quality threshold value, generating an inferior signal, and marking the refined signal, the common signal and the inferior signal as a forward quality signal group;
according to the processing mode of positive sampling array processing, corresponding sampling data, transmission frame data and transmission identification data are extracted from negative sampling data to carry out negative sampling array processing, and the method specifically comprises the following steps:
selecting a plurality of corresponding sampling data, setting a preset value of the sampling data and calibrating the preset value as a sampling threshold, performing difference calculation on the sampling data and the sampling threshold, calculating a plurality of sampling differences, respectively comparing the sampling differences with a grade judgment value, judging as a first-grade sampling value when the grade judgment value is smaller than a grade judgment value of which the sampling difference value is less than two times, judging as a second-grade sampling value when the two-grade judgment value is smaller than the grade judgment value of which the sampling difference value is less than three times, and judging as a third-grade sampling value when the sampling difference value is greater than the grade judgment value of which the sampling difference value is more than three times, wherein the grade judgment value is a preset value, and calibrating the first-grade sampling value, the second-grade sampling value and the third-grade sampling value as negative sampling grade values;
selecting a plurality of corresponding transmission frame data and transmission identification data, and according to a calculation formula:
wherein CZ is expressed as a video transmission quality value, delta is expressed as a deviation correction factor, cb is expressed as transmission data, e1 is expressed as a weight coefficient of the transmission data, zs is expressed as transmission frame data, e2 is expressed as a weight coefficient of the transmission frame data, the average value of a plurality of video transmission quality values is calculated, and the average value of the video transmission quality is calculated;
extracting a video transmission quality mean value, setting a preset value of the video transmission quality mean value and calibrating the preset value as a quality threshold value, judging that the video transmission quality is high when the video transmission quality mean value is greater than the quality threshold value, generating an exquisite signal, judging that the video transmission quality is general when the video transmission quality mean value is equal to the quality threshold value, generating a common signal, judging that the video transmission quality is low when the video transmission quality mean value is less than the quality threshold value, generating an inferior signal, and marking the exquisite signal, the common signal and the inferior signal as a negative quality signal group;
transmitting the positive sampling and storing floating value, the positive sampling frequency grade value and the positive mass signal group corresponding to the positive sampling data and the negative sampling and storing floating value, the negative sampling frequency grade value and the negative mass signal group corresponding to the negative sampling data to an internal condition judgment module;
the internal condition judging module is used for carrying out endoscopic position judging operation on a positive sampling and storing floating value, a positive sampling frequency grade value and a positive mass signal group corresponding to positive sampling data and a negative sampling and storing floating value, a negative sampling frequency grade value and a negative mass signal group corresponding to negative sampling data, and the specific operation process of the endoscopic position judging operation is as follows:
respectively giving numerical values to the first-level frequency sampling value, the second-level frequency sampling value and the third-level frequency sampling value, giving the first-level frequency sampling value a1, giving the second-level frequency sampling value a2 and giving the third-level frequency sampling value a3;
respectively giving the fine signal, the common signal and the inferior signal values, giving the fine signal value b1, the common signal value b2 and the inferior signal value b3;
selecting positive sampling data and negative sampling data and calibrating the positive sampling data and the negative sampling data into a sampling array, selecting a positive sampling storage floating value and a negative sampling storage floating value and calibrating the positive sampling storage floating value and the negative sampling storage floating value into a floating array, selecting a positive sampling frequency grade value and a negative sampling frequency grade value and calibrating the positive sampling frequency grade value and the negative sampling frequency grade value into a sampling frequency grade array, selecting a positive mass signal group and a negative mass signal group and calibrating the positive mass signal group and the negative mass signal group into a mass signal array;
selecting real-time internal acquisition data in endoscopic information, matching the real-time internal acquisition data with an acquisition array, matching acquisition and storage data, acquisition frequency data, transmission frame data and transmission identification data corresponding to the real-time internal acquisition data with a floating array, a frequency grade array and a quality signal array respectively, and calibrating the matched numerical values into a real-time data group;
the real-time data set is substituted into the formula:
wherein Pj represents the evaluation value of the endoscope module operation,
expressed as the result of matching the stored data corresponding to the real-time internal data with the floating array, and rThe value is 1,2, when the value of r is 1, the positive recovery and storage floating value is selected
When the value of r is 2, selecting the negative sampling and storing floating value
T1 is represented as a floating array weight coefficient,
expressed as the matching result of the frequency data corresponding to the real-time internal acquisition data and the frequency level array, wherein the value of f is 1,2, when the value of f is 1, the positive frequency acquisition level value is selected, when the value of f is 2, the negative frequency acquisition level value is selected, the value of w is 1,2,3, when the value of w is 1, the assignment a1 of the first-level frequency acquisition value is selected, when the value of w is 2, the assignment a2 of the second-level frequency acquisition value is selected, when the value of w is 3, the assignment a3 of the third-level frequency acquisition value is selected, and t2 is expressed as the weight coefficient of the frequency level array,
the method comprises the steps that transmitted frame data corresponding to real-time internal acquisition data and matching results of transmitted data and a quality signal array are represented, the value of k is 1,2, when the value of k is 1, a positive quality signal group is selected, when the value of k is 2, a negative quality signal group is selected, the value of i is 1,2 and 3, when the value of i is 1, an assignment b1 of an exquisite signal is selected, when the value of i is 2, an assignment b2 of a common signal is selected, when the value of i is 3, an assignment b3 of a poor signal is selected, t3 is represented as a weight coefficient of the quality signal array, glc is represented as a calculation deviation adjustment factor, the matching process is that the same calculation of the same data is carried out on the selected corresponding data, the calculation results are matched with the set results, and the method is equivalent to a matching method;
comparing the endoscope module work evaluation value Pj with an evaluation threshold value M, judging that the acquisition quality is excellent when the endoscope module work evaluation value is greater than the evaluation threshold value, generating a normal signal, judging that the acquisition quality is poor when the endoscope module work evaluation value is less than the evaluation threshold value, generating an abnormal signal, and transmitting the normal signal and the abnormal signal to an endoscope early warning module;
the endoscope early warning module is used for receiving and identifying normal signals and abnormal signals, judging the acquisition and transmission quality standard of the endoscope when the normal signals are identified, generating an acquisition and transmission error-free character, judging the acquisition and transmission quality of the endoscope is unqualified when the abnormal signals are identified, generating an acquisition and transmission error-free character, sending an abnormal alarm, and transmitting the acquisition and transmission error-free character and the acquisition and transmission error-free character to the endoscope display module;
the endoscopic display module is used for receiving and displaying the words of 'collection and transmission are error-free' and the words of 'collection and transmission are error'.
A disposable medical endoscope system, the use method of the disposable medical endoscope system comprises the following steps:
the method comprises the following steps: the endoscopic transmission acquisition module is used for acquiring the internal condition of a patient, transmitting the acquired data to the endoscopic cloud storage module, and storing the acquired and transmitted data through the endoscopic cloud storage module;
step two: analyzing and processing the acquired data of the stored data in the endoscopic cloud storage module through an internal state analysis and processing module, so as to obtain a positive acquisition array and a negative acquisition array through analysis;
step three: carrying out numerical calculation and judgment on the positive sampling array and the negative sampling array through an internal condition judgment module so as to obtain a judgment signal group;
step four: identifying the judging signal group through an endoscopic early warning module, generating a character of 'no error in acquisition and transmission', a character of 'error in acquisition and transmission', and sending an abnormal alarm;
step five: the endoscopic display module displays the words of 'acquisition and transmission are error-free' and the words of 'acquisition and transmission are error'.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (3)
1. The disposable medical endoscope system is characterized by comprising an endoscopic transmission acquisition module, an endoscopic cloud storage module, an internal state analysis processing module, an internal condition judgment module, an endoscopic early warning module and an endoscopic display module;
the endoscopic transmission and acquisition module is used for acquiring and transmitting data of the internal body condition of a patient and marking the acquired data as endoscopic information;
the endoscopic cloud storage module is used for storing and updating data acquired and transmitted by a patient in real time;
the internal state analysis processing module is used for extracting data in the endoscopic cloud storage module, and performing endoscopic acquisition and transmission processing operation on the data acquired and transmitted by the endoscope to obtain a positive acquisition array and a negative acquisition array, wherein the positive acquisition array comprises a positive acquisition and storage floating value, a positive acquisition frequency grade value and a positive mass signal group, and the negative acquisition array comprises a negative acquisition and storage floating value, a negative acquisition frequency grade value and a negative mass signal group;
the specific operation process of the endoscopic acquisition and transmission treatment operation comprises the following steps:
selecting corresponding acquisition and storage data according to a plurality of different internal acquisition data, setting a preset value corresponding to the acquisition and storage data, calibrating the preset value corresponding to the acquisition and storage data as an acquisition and storage threshold value, comparing the acquisition and storage data with the acquisition and storage threshold value, judging that the acquisition and storage data is completely acquired when the acquisition and storage data is greater than the acquisition and storage threshold value, generating an acquisition and combination signal, judging that the acquisition and storage data is incompletely acquired when the acquisition and storage data is less than or equal to the acquisition and storage threshold value, generating an acquisition and deterioration signal, identifying the acquisition and deterioration signal, selecting the acquisition and storage data corresponding to the acquisition and combination signal and calibrating the acquisition and storage data as positive acquisition data, selecting the acquisition and storage data corresponding to the acquisition and deterioration signal and calibrating the acquisition and deterioration signal as negative acquisition data;
calculating the average value of the data to be sampled and stored, calculating the average value to be sampled and stored, and respectively connecting the average value to several corresponding dataThe difference value calculation is carried out on the sampling and storing data, a plurality of positive sampling and storing difference values are calculated, the mean value calculation is carried out on the plurality of positive sampling and storing difference values, a positive sampling and storing mean value and a positive sampling and storing mean value are substituted into a sampling and storing floating calculation formula:
wherein, in the step (A),
the conversion factor is expressed as a positive mining and storing floating value, cj is expressed as a positive mining and storing average value, cc is expressed as a positive mining and storing average difference value, and u1 is expressed as a conversion factor of the positive mining and storing average difference value;
calculating a negative mining and storing floating value according to a calculation method of the positive mining and storing floating value;
extracting corresponding frequency acquisition data, frame transmission data and identification data according to the forward acquisition data to perform forward acquisition array processing, and processing to obtain a forward acquisition rank value and a forward quality signal group, wherein the specific process of the forward acquisition array processing is as follows:
performing difference calculation on a plurality of corresponding sampling data and a sampling threshold to obtain a plurality of sampling difference values, respectively comparing the plurality of sampling difference values with a grade decision value, when the grade decision value is smaller than the grade decision value with the sampling difference value being less than two times, deciding a first-grade sampling value, when the two-time grade decision value is smaller than the grade decision value with the sampling difference value being less than three times, deciding a second-grade sampling value, when the sampling difference value is greater than the three-time grade decision value, deciding a third-grade sampling value, wherein the grade decision value is a preset value, marking the first-grade sampling value, the second-grade sampling value and the third-grade sampling value as positive sampling grade values, and the sampling threshold value and the grade decision value are preset values;
marking the transmitted and identified data as Cb, and marking the transmitted frame data as Zs;
according to the calculation formula:
calculating the video transmission quality value of the plurality of corresponding transmission frame data and the transmission identification data;
wherein CZ is expressed as a video transmission quality value, delta is expressed as a deviation correction factor, e1 is expressed as a weight coefficient of transmission and identification data, and e2 is expressed as a weight coefficient of transmission frame data;
comparing the video transmission quality value with a quality threshold value, generating an exquisite signal when the video transmission quality value is greater than the quality threshold value, generating a common signal when the video transmission quality value is equal to the quality threshold value, generating an inferior signal when the video transmission quality value is less than the quality threshold value, and marking the exquisite signal, the common signal and the inferior signal as a forward quality signal group together, wherein the quality threshold value is a preset value;
extracting corresponding sampling frequency data, transmission frame data and transmission identification data from the negative sampling data according to a processing mode of the positive sampling array processing, and performing negative sampling array processing to obtain a negative sampling frequency grade value and a negative quality signal group;
transmitting the positive sampling and storing floating value, the positive sampling frequency grade value and the positive mass signal group corresponding to the positive sampling data and the negative sampling and storing floating value, the negative sampling frequency grade value and the negative mass signal group corresponding to the negative sampling data to an internal condition judgment module;
the internal condition judging module is used for carrying out endoscopic position judging operation on the positive mining array and the negative mining array to obtain a judging signal group, and the judging signal group comprises a normal signal or an abnormal signal;
the specific operation process of the endoscopic judgment operation comprises the following steps:
sequentially assigning the first-level frequency sampling value, the second-level frequency sampling value and the third-level frequency sampling value to numerical values a1, a2 and a3;
giving the values b1, b2 and b3 to the refinement signal, the ordinary signal and the inferior signal in sequence;
calibrating positive sampling data and negative sampling data into a sampling array, calibrating a positive sampling and storage floating value and a negative sampling and storage floating value into a floating array, calibrating a positive sampling frequency grade value and a negative sampling frequency grade value into a sampling frequency grade array, and calibrating a positive mass signal group and a negative mass signal group into a mass signal array;
selecting real-time internal acquisition data in endoscopic information, matching the real-time internal acquisition data with an acquisition array, matching acquisition and storage data, acquisition frequency data, transmission frame data and transmission identification data corresponding to the real-time internal acquisition data with a floating array, a frequency grade array and a quality signal array respectively, and calibrating the matched numerical values into a real-time data group;
calculating the real-time data set according to the evaluation calculation formula to obtain a working evaluation value of the endoscope module;
the specific process of evaluating and calculating the real-time data group comprises the following steps:
marking the work evaluation value of the endoscope module as Pj, and marking the matching result of the acquisition and storage data corresponding to the internal acquisition data and the floating array as
And the value of r is 1,2, when the value of r is 1, selecting the positive sampling and storing floating value
When the value of r is 2, selecting a negative sampling and storing floating value
；
Marking the matching result of the frequency acquisition data corresponding to the real-time internal acquisition data and the frequency grade array as a mark
The value of f is 1,2, when the value of f is 1, a positive sampling frequency grade value is selected, when the value of f is 2, a negative sampling frequency grade value is selected, the value of w is 1,2,3, when the value of w is 1, an assignment a1 of a first-level sampling frequency value is selected, when the value of w is 2, an assignment a2 of a second-level sampling frequency value is selected, and when the value of w is 3, an assignment a3 of a third-level sampling frequency value is selected;
marking the data of the transmitted frame corresponding to the real-time internal acquisition data and the matching result of the transmitted and identified data and the quality signal array as data of the transmitted and identified data
And the value of k is 1,2, when the value of k is 1, selecting a positive mass signal group, and when the value of k is 2, selecting a negative mass signal groupThe quality signal group, i takes 1,2,3 values, when i takes 1 value, the assignment b1 of the delicate signal is selected, when i takes 2 value, the assignment b2 of the common signal is selected, when i takes 3 value, the assignment b3 of the inferior signal is selected;
according to the calculation formula:
calculating the work evaluation value Pj of the endoscope module, wherein t1 is represented as a floating array weight coefficient, t2 is represented as a frequency level array weight coefficient, t3 is represented as a quality signal array weight coefficient, and glc is represented as a calculation deviation adjustment factor;
comparing the working evaluation value Pj of the endoscope module with an evaluation threshold value M, generating a normal signal when Pj is larger than M, generating an abnormal signal when Pj is smaller than or equal to M, and transmitting the normal signal and the abnormal signal to an endoscopic early warning module;
the endoscopic early warning module is used for identifying normal signals and abnormal signals, generating a character of 'no error in acquisition and transmission' when the normal signals are identified, generating a character of 'no error in acquisition and transmission' when the abnormal signals are identified, sending an abnormal alarm, and transmitting the character of 'no error in acquisition and transmission' and the character of 'error in acquisition and transmission' to the endoscopic display module;
the endoscopic display module is used for receiving and displaying the character of 'collection and transmission are error-free' and the character of 'collection and transmission are error'.
2. The disposable medical endoscope system of claim 1, wherein the endoscopic information comprises intra-acquisition data, frequency data, frame data, and resolution data in accordance with intra-acquisition data;
the internal acquisition data represents patient information acquired during operation of the endoscope, the acquisition data represents the size of a data occupied space corresponding to the internal acquisition data, the acquisition data represents the real-time frequency of operation of a chip of the endoscope during operation of the endoscope, the transmission frame data represents the number of frames of a real-time transmission video of the acquisition data during the operation time, and the transmission data represents the resolution of the real-time transmission video of the acquisition data during the operation time.
3. The disposable medical videoscopic system of claim 1, wherein the method of using the disposable medical videoscopic system includes the steps of:
the method comprises the following steps: the endoscopic transmission acquisition module is used for acquiring the internal condition of a patient, transmitting the acquired data to the endoscopic cloud storage module, and storing the acquired and transmitted data through the endoscopic cloud storage module;
step two: analyzing and processing the acquired data of the stored data in the endoscopic cloud storage module through an internal state analysis and processing module, so as to obtain a positive acquisition array and a negative acquisition array through analysis;
step three: carrying out numerical calculation and judgment on the positive mining array and the negative mining array through an internal condition judgment module so as to obtain a judgment signal group;
step four: identifying the judging signal group through an endoscopic early warning module, generating a character of 'no error in acquisition and transmission', a character of 'error in acquisition and transmission', and sending an abnormal alarm;
step five: the endoscopic display module displays the character of 'no error in acquisition and transmission' and the character of 'error in acquisition and transmission'.
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| JPS5977736A (en) * | 1982-10-26 | 1984-05-04 | Olympus Optical Co Ltd | Communication system of endoscope |
| US4833535A (en) * | 1987-02-04 | 1989-05-23 | Kabushiki Kaisha Toshiba | Image transmission apparatus |
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