CN118512155B - AI diagnosis and treatment system for inhibiting sleep disorder - Google Patents
AI diagnosis and treatment system for inhibiting sleep disorder Download PDFInfo
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- 238000003745 diagnosis Methods 0.000 title claims abstract description 236
- 208000019116 sleep disease Diseases 0.000 title claims abstract description 61
- 208000020685 sleep-wake disease Diseases 0.000 title claims abstract description 50
- 230000002401 inhibitory effect Effects 0.000 title claims abstract description 18
- 238000012545 processing Methods 0.000 claims abstract description 10
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 41
- 229910052760 oxygen Inorganic materials 0.000 claims description 41
- 239000001301 oxygen Substances 0.000 claims description 41
- 238000000034 method Methods 0.000 claims description 26
- 230000007613 environmental effect Effects 0.000 claims description 16
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- 239000008280 blood Substances 0.000 claims description 13
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- 230000005856 abnormality Effects 0.000 claims description 3
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Abstract
The invention belongs to the technical field of AI diagnosis and treatment systems, in particular to an AI diagnosis and treatment system for inhibiting sleep disorder, which comprises a data acquisition module, a data processing module, an AI diagnosis module and an adjustment module, wherein the data acquisition module is used for acquiring operation parameters of AI diagnosis and treatment equipment, wherein the operation parameters comprise an equipment operation noise value ZYZ and a use deviation value SYZ; the data processing module obtains the running state value YX of the AI diagnosis and treatment equipment through receiving the running parameters, compares the running state value YX with the preset running state value threshold BYX, and can comprehensively show the running state of the AI diagnosis and treatment equipment based on the equipment running noise value ZYZ and the running state value YX obtained by using the deviation value SYZ, so that the running state of the equipment before diagnosis and treatment can be conveniently judged, and invalid diagnosis and treatment caused by equipment reasons can be avoided.
Description
Technical Field
The invention belongs to the technical field of AI diagnosis and treatment systems, and particularly relates to an AI diagnosis and treatment system for inhibiting sleep disorder.
Background
Sleep disorders are chronic diseases that affect a wide range, including sleep apnea syndrome, and the like, severely affecting the quality and health of a patient's sleep. Traditional diagnosis and treatment methods often rely on subjective judgment and experience of doctors, and risks of misdiagnosis and missed diagnosis exist. In recent years, along with the rapid development of artificial intelligence technology, the application of the technology in the field of medical health is increasingly wide, new possibility is provided for diagnosis and treatment of sleep disorder, the conventional AI diagnosis and treatment system is mostly based on AI diagnosis and treatment equipment to monitor the diagnosis and treatment state of a user, corresponding diagnosis and treatment measures are adopted, and common AI diagnosis and treatment equipment comprises an intelligent rehabilitation robot, an intelligent diagnosis and treatment cabin and the like.
At present, when AI diagnosis and treatment equipment is used, the running state of the equipment cannot be intelligently judged in use, whether the equipment is effective or not can be judged only by judging according to a user detection result after diagnosis and treatment, and the problem of the link to be treated is difficult to judge, so that ineffective diagnosis and treatment caused by equipment reasons are easy to occur; meanwhile, in particular to sleep disorder, diagnosis and treatment time is long, whether the need of continuing diagnosis and treatment exists or not cannot be judged intelligently in the diagnosis and treatment process, and time is wasted.
To this end, the present invention provides an AI diagnosis and treatment system that suppresses sleep disorders.
Disclosure of Invention
In order to overcome the deficiencies of the prior art, at least one technical problem presented in the background art is solved.
The technical scheme adopted for solving the technical problems is as follows: the invention relates to an AI diagnosis and treatment system for inhibiting sleep disorder, which comprises
And a data acquisition module: the method comprises the steps of acquiring operation parameters of the AI diagnosis and treatment equipment, wherein the operation parameters comprise an equipment operation noise value ZYZ and a usage deviation value SYZ;
and a data processing module: acquiring an operation state value YX of the AI diagnosis and treatment equipment by receiving the operation parameters, and comparing the operation state value YX with a preset operation state value threshold BYX;
if the running state value YX of the AI diagnosis and treatment equipment is more than or equal to a preset running state value threshold BYX, the operation abnormality of the AI diagnosis and treatment equipment is indicated, an equipment damage signal is sent, and diagnosis and treatment operation is not carried out;
If the running state value YX of the AI diagnosis and treatment equipment is smaller than the preset running state value threshold BYX, the AI diagnosis and treatment equipment is indicated to run normally, a normal signal of the equipment is sent, and diagnosis and treatment operation can be carried out;
AI diagnostic module: setting a diagnosis and treatment monitoring period based on a normal signal of the equipment, dividing the diagnosis and treatment period into a plurality of time nodes, respectively acquiring environmental parameters and human body characteristic parameters inside the AI diagnosis and treatment equipment according to the time nodes, and acquiring an environmental stability value HJ through the internal environmental parameters; acquiring a characteristic influence value TZ through human body characteristic parameters, acquiring a sleep disorder diagnosis value SZD based on an operation state value YX, an environment influence value HJ and the characteristic influence value TZ of AI diagnosis and treatment equipment, and comparing the sleep disorder diagnosis value SZD with a preset sleep disorder diagnosis value threshold YSZ;
if the sleep disorder diagnosis value SZD is smaller than a preset sleep disorder diagnosis value threshold YSZ, the diagnosis and treatment state is normal, a diagnosable signal is generated, and the diagnosis and treatment can be arranged to be continued;
If the sleep disorder diagnosis value SZD is more than or equal to a preset sleep disorder diagnosis value threshold YSZ, indicating that the diagnosis and treatment state is abnormal, generating an alarm signal, stopping diagnosis and treatment operation, and notifying staff to process;
And an adjustment module: scheduling to make a diagnosis immediately after receiving the diagnosable signal; after receiving the alarm signal, the problem existing in the AI diagnosis and treatment equipment is indicated, and workers need to be arranged for on-site treatment.
Preferably, the method for acquiring the running noise value ZYZ of the device is as follows:
Acquiring a sound intensity value SQ generated in the running process of the AI diagnosis and treatment equipment in unit time, and sequentially marking the sound intensity values as SQ1 and SQ2 … … Sqi according to time sequence, wherein Sqi is the sound intensity value generated in the running process of the AI diagnosis and treatment equipment which is acquired last time in unit time, and bringing the sound intensity value into a formula Obtaining an equipment operation noise value ZYZ;
preferably, the obtaining manner of the usage offset value SYZ is:
Acquiring a standard working voltage UB of the AI diagnosis and treatment equipment, acquiring a real-time working voltage of the AI diagnosis and treatment equipment in an actual working operation state, recording the real-time working voltage as a real-time voltage value US, recording a difference value between the real-time voltage value US and the standard working voltage UB as a voltage difference value UC, acquiring a ratio between the voltage difference value UC and the standard working voltage UB, and recording the ratio as a voltage deviation value PU;
Acquiring a standard working current IB of the AI diagnosis and treatment equipment, acquiring a real-time working current of the monitoring equipment in an actual working operation state, marking the real-time working current as an actual current value IS, marking a difference value between the acquired actual current value IS and the standard working current IB as a current difference value IC, and marking a ratio between the current difference value IC and the standard working current IB as a current deviation value PI;
is brought into a formula by a voltage deviation value PU and a current deviation value PI The use deviation value SYZ is obtained, where a1, a2 are preset scaling factors, and a1+a2=1, a1> a2.
Preferably, the data processing module obtains the running state value YX of the AI diagnosis and treatment equipment by receiving the running parameter, specifically:
Bringing the device operation noise value ZYZ and the use deviation value SYZ into the formula
And obtaining an operation state value YX, wherein b1 and b2 are preset proportionality coefficients.
Preferably, the AI diagnosis module obtains an environmental parameter inside the AI diagnosis and treatment device, specifically:
acquiring internal environment parameters of the AI diagnosis and treatment equipment according to a time node, wherein the internal environment parameters comprise a temperature difference value WD, a humidity difference value SD and an oxygen concentration stability difference value YW, and bringing the temperature difference value WD, the humidity difference value SD and the oxygen concentration stability difference value YW into a formula And obtaining an environment stable value HJ, wherein c1, c2 and c3 are all preset coefficient factors.
Preferably, the specific method for obtaining the temperature difference value WD includes:
and respectively acquiring temperature values in the AI diagnosis and treatment equipment according to the time nodes, adding all the temperature values to obtain an average value, and obtaining a ratio of the average temperature value to a preset temperature value after the average temperature value is different from the preset temperature value to obtain a temperature difference value WD.
Preferably, the specific method for obtaining the humidity difference value SD includes:
And respectively acquiring humidity values in the AI diagnosis and treatment equipment according to the time nodes, adding all the humidity values to obtain an average value, carrying out difference between the average value of the humidity and a preset humidity value, and then acquiring a ratio of the average value of the humidity to the preset humidity value to obtain a humidity difference value SD.
Preferably, the specific method for obtaining the oxygen concentration stability difference value YW includes:
and acquiring an oxygen concentration value in the AI diagnosis and treatment equipment according to the time node, and marking the oxygen concentration value as YQn, wherein n is a time node sequence number, and acquiring an average value of variances of the oxygen concentration value and a preset oxygen concentration value to obtain an oxygen concentration stability difference value YW.
Preferably, the characteristic influence value TZ is obtained through the human characteristic parameters, specifically:
obtaining the blood oxygen concentration value XNK of the user at the beginning time of the diagnosis and treatment monitoring period, obtaining the blood oxygen concentration value XNJ of the user at the ending time of the diagnosis and treatment monitoring period, and obtaining the blood oxygen concentration value XNJ of the user at the ending time of the diagnosis and treatment monitoring period through a formula And obtaining a characteristic influence value TZ.
Preferably, the sleep disorder diagnostic value SZD is obtained by the following steps:
And (3) introducing the running state value YX, the environment influence value HJ and the characteristic influence value TZ of the AI diagnosis and treatment equipment into a formula SZD=YX× (HJ×d1+TZ×d2) to obtain a sleep disorder diagnosis value SZD, wherein d1 and d2 are preset proportionality coefficients.
The beneficial effects of the invention are as follows:
1. according to the AI diagnosis and treatment system for inhibiting the sleep disorder, the data acquisition module is used for acquiring the operation parameters of AI diagnosis and treatment equipment, wherein the operation parameters comprise an equipment operation noise value ZYZ and a use deviation value SYZ; the data processing module obtains the running state value YX of the AI diagnosis and treatment equipment through receiving the running parameters, compares the running state value YX with the preset running state value threshold BYX, and can comprehensively show the running state of the AI diagnosis and treatment equipment based on the equipment running noise value ZYZ and the running state value YX obtained by using the deviation value SYZ, so that the running state of the equipment before diagnosis and treatment can be conveniently judged, and invalid diagnosis and treatment caused by equipment reasons can be avoided.
2. According to the AI diagnosis and treatment system for inhibiting the sleep disorder, after a user is diagnosed by the AI diagnosis and treatment equipment for a period of time, the environment influence value HJ and the characteristic influence value TZ are obtained, and then the environment influence value HJ and the characteristic influence value TZ are combined with the running state value YX of the AI diagnosis and treatment equipment to calculate, so that the sleep disorder diagnosis value SZD is compared with the preset sleep disorder diagnosis value threshold YSZ, the diagnosis and treatment effect can be comprehensively shown by combining, the diagnosis and treatment stage of the AI diagnosis and treatment equipment can be combined, whether the necessity of continuous diagnosis and treatment exists or not can be calculated, the diagnosis and treatment effect is improved, and the intelligent use of the AI diagnosis and treatment equipment is realized.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a schematic system diagram of a first embodiment of the invention;
fig. 2 is a schematic system diagram of a second embodiment of the present invention.
Detailed Description
The invention is further described in connection with the following detailed description in order to make the technical means, the creation characteristics, the achievement of the purpose and the effect of the invention easy to understand.
Embodiment one:
as shown in fig. 1, the AI diagnosis and treatment system for inhibiting sleep disorder according to the embodiment of the invention includes a data acquisition module and a data processing module;
and a data acquisition module: the method comprises the steps of acquiring operation parameters of the AI diagnosis and treatment equipment, wherein the operation parameters comprise an equipment operation noise value ZYZ and a usage deviation value SYZ;
Acquiring a sound intensity value SQ generated in the running process of the AI diagnosis and treatment equipment in unit time, and sequentially marking the sound intensity values as SQ1 and SQ2 … … Sqi according to time sequence, wherein Sqi is the sound intensity value generated in the running process of the AI diagnosis and treatment equipment which is acquired last time in unit time, and bringing the sound intensity value into a formula Obtaining an equipment operation noise value ZYZ;
Acquiring a standard working voltage UB of the AI diagnosis and treatment equipment, acquiring a real-time working voltage of the AI diagnosis and treatment equipment in an actual working operation state, recording the real-time working voltage as a real-time voltage value US, recording a difference value between the real-time voltage value US and the standard working voltage UB as a voltage difference value UC, acquiring a ratio between the voltage difference value UC and the standard working voltage UB, and recording the ratio as a voltage deviation value PU;
Acquiring a standard working current IB of the AI diagnosis and treatment equipment, acquiring a real-time working current of the monitoring equipment in an actual working operation state, marking the real-time working current as an actual current value IS, marking a difference value between the acquired actual current value IS and the standard working current IB as a current difference value IC, and marking a ratio between the current difference value IC and the standard working current IB as a current deviation value PI;
is brought into a formula by a voltage deviation value PU and a current deviation value PI The use deviation value SYZ is obtained, where a1, a2 are preset scaling factors, and a1+a2=1, a1> a2.
In some embodiments, the actual voltage and the actual current are different from the standard working voltage UB and the standard working current IB of the AI diagnosis and treatment device, so that the AI diagnosis and treatment device is different in the operation process, the working state of the AI diagnosis and treatment device is affected, and by combining the use deviation value SYZ of the AI diagnosis and treatment device with the device operation noise value ZYZ as the operation parameter of the AI diagnosis and treatment device, whether the AI diagnosis and treatment device is abnormal or not can be judged, whether maintenance is needed or not is judged, and the problem that diagnosis and treatment result is inaccurate after use and invalid diagnosis and treatment are caused is avoided.
And a data processing module: acquiring an operation state value YX of the AI diagnosis and treatment equipment by receiving the operation parameters, and comparing the operation state value YX with a preset operation state value threshold BYX;
if the running state value YX of the AI diagnosis and treatment equipment is more than or equal to a preset running state value threshold BYX, the operation abnormality of the AI diagnosis and treatment equipment is indicated, an equipment damage signal is sent, and diagnosis and treatment operation is not carried out;
If the running state value YX of the AI diagnosis and treatment equipment is smaller than the preset running state value threshold BYX, the AI diagnosis and treatment equipment is indicated to run normally, a normal signal of the equipment is sent, and diagnosis and treatment operation can be carried out;
The data processing module obtains the operation state value YX of the AI diagnosis and treatment equipment by receiving the operation parameters, and specifically comprises the following steps:
Bringing the device operation noise value ZYZ and the use deviation value SYZ into the formula
And obtaining an operation state value YX, wherein b1 and b2 are preset proportionality coefficients.
In one embodiment, by acquiring the operation parameters of the AI diagnosis and treatment equipment, the greater the equipment operation noise value ZYZ and the usage deviation value SYZ, the greater the equipment operation noise value ZYZ is, the greater the noise sound emitted by the AI diagnosis and treatment equipment in the operation process is, the greater the noise emitted by the equipment internal electrical appliances is, the worse the working state of the AI diagnosis and treatment equipment is indicated, the greater the deviation value SYZ is obtained according to the actual working voltage and the actual working current environment of the AI diagnosis and treatment equipment, the higher the deviation value SYZ is, the higher the deviation from the standard working environment degree is, the AI diagnosis and treatment equipment is indicated to be in an unstable current voltage environment, the normal operation of the AI diagnosis and treatment equipment is influenced, the operation state of the AI diagnosis and treatment equipment can be comprehensively represented based on the operation state value YX obtained by the equipment operation noise value ZYZ and the usage deviation value SYZ, the judgment on the operation state of the equipment before diagnosis and treatment is facilitated, and the invalid diagnosis and treatment caused by equipment reasons is avoided.
Embodiment two:
Comparative example one, wherein another embodiment of the present invention is:
As shown in fig. 2, the AI diagnosis and treatment system for suppressing sleep disorder according to the embodiment of the present invention further includes:
AI diagnostic module: setting a diagnosis and treatment monitoring period based on a normal signal of the equipment, dividing the diagnosis and treatment period into a plurality of time nodes, respectively acquiring environmental parameters and human body characteristic parameters inside the AI diagnosis and treatment equipment according to the time nodes, and acquiring an environmental stability value HJ through the internal environmental parameters; acquiring a characteristic influence value TZ through human body characteristic parameters, acquiring a sleep disorder diagnosis value SZD based on an operation state value YX, an environment influence value HJ and the characteristic influence value TZ of AI diagnosis and treatment equipment, and comparing the sleep disorder diagnosis value SZD with a preset sleep disorder diagnosis value threshold YSZ;
if the sleep disorder diagnosis value SZD is smaller than a preset sleep disorder diagnosis value threshold YSZ, the diagnosis and treatment state is normal, a diagnosable signal is generated, and the diagnosis and treatment can be arranged to be continued;
If the sleep disorder diagnosis value SZD is more than or equal to a preset sleep disorder diagnosis value threshold YSZ, indicating that the diagnosis and treatment state is abnormal, generating an alarm signal, stopping diagnosis and treatment operation, and notifying staff to process;
And an adjustment module: scheduling to make a diagnosis immediately after receiving the diagnosable signal; after receiving the alarm signal, the problem existing in the AI diagnosis and treatment equipment is indicated, and workers need to be arranged for on-site treatment.
The AI diagnosis module obtains the internal environmental parameter of AI diagnosis and treatment equipment, specifically:
acquiring internal environment parameters of the AI diagnosis and treatment equipment according to a time node, wherein the internal environment parameters comprise a temperature difference value WD, a humidity difference value SD and an oxygen concentration stability difference value YW, and bringing the temperature difference value WD, the humidity difference value SD and the oxygen concentration stability difference value YW into a formula And obtaining an environment stable value HJ, wherein c1, c2 and c3 are all preset coefficient factors.
The specific acquisition method of the temperature difference value WD comprises the following steps:
and respectively acquiring temperature values in the AI diagnosis and treatment equipment according to the time nodes, adding all the temperature values to obtain an average value, and obtaining a ratio of the average temperature value to a preset temperature value after the average temperature value is different from the preset temperature value to obtain a temperature difference value WD.
The specific acquisition method of the humidity difference value SD comprises the following steps:
And respectively acquiring humidity values in the AI diagnosis and treatment equipment according to the time nodes, adding all the humidity values to obtain an average value, carrying out difference between the average value of the humidity and a preset humidity value, and then acquiring a ratio of the average value of the humidity to the preset humidity value to obtain a humidity difference value SD.
The specific acquisition method of the oxygen concentration stability difference value YW comprises the following steps:
and acquiring an oxygen concentration value in the AI diagnosis and treatment equipment according to the time node, and marking the oxygen concentration value as YQn, wherein n is a time node sequence number, and acquiring an average value of variances of the oxygen concentration value and a preset oxygen concentration value to obtain an oxygen concentration stability difference value YW.
In some embodiments, the internal environmental parameters of the AI diagnosis and treatment device have correlation with the diagnosis and treatment effect, and the internal environment of the AI diagnosis and treatment device can be judged by combining the temperature, the humidity and the oxygen concentration parameters through the temperature difference value WD, the humidity difference value SD and the oxygen concentration stability difference value YW in the AI diagnosis and treatment device, and the temperature difference value WD, the humidity difference value SD and the oxygen concentration stability difference value YW can respectively represent the temperature difference change, the humidity difference change and the oxygen concentration stability difference change, so that the accuracy of the diagnosis and treatment result of the AI diagnosis and treatment device can be more favorably judged by analyzing the environmental influence value HJ of the internal environment of the AI diagnosis and treatment device.
The characteristic influence value TZ is obtained through the characteristic parameters of the human body, and specifically comprises the following steps:
obtaining the blood oxygen concentration value XNK of the user at the beginning time of the diagnosis and treatment monitoring period, obtaining the blood oxygen concentration value XNJ of the user at the ending time of the diagnosis and treatment monitoring period, and obtaining the blood oxygen concentration value XNJ of the user at the ending time of the diagnosis and treatment monitoring period through a formula And obtaining a characteristic influence value TZ.
Specifically, the blood oxygen concentration value of the user is the most intuitive factor for detecting whether the sleep disorder of the user is improved, the blood oxygen concentration value of the beginning stage and the ending stage of the diagnosis and treatment monitoring period is obtained, and then the characteristic influence value TZ is obtained by calculating the ratio of the difference value of the blood oxygen concentration value and the blood oxygen concentration value of the beginning stage, so that the diagnosis and treatment result of the AI diagnosis and treatment equipment can be fully reflected.
The sleep disorder diagnosis value SZD is obtained by the following steps:
And (3) introducing the running state value YX, the environment influence value HJ and the characteristic influence value TZ of the AI diagnosis and treatment equipment into a formula SZD=YX× (HJ×d1+TZ×d2) to obtain a sleep disorder diagnosis value SZD, wherein d1 and d2 are preset proportionality coefficients.
It can be understood that after a period of diagnosis and treatment of a user, the AI diagnosis and treatment equipment obtains the sleep disorder diagnosis value SZD by obtaining the environmental impact value HJ and the characteristic impact value TZ and then combining and calculating with the running state value YX of the AI diagnosis and treatment equipment, the greater the sleep disorder diagnosis value SZD is, the more the running state value YX, the environmental impact value HJ or the characteristic impact value TZ is, the more the sleep disorder diagnosis value SZD is, the indication that the diagnosis and treatment effect of the AI diagnosis and treatment equipment is poor or the running state price of the AI diagnosis and treatment equipment is poor, therefore, when the sleep disorder diagnosis value SZD is not less than the preset sleep disorder diagnosis value threshold YSZ, the indication that the diagnosis and treatment state is abnormal, the generation of an alarm signal, the stop of diagnosis and treatment operation and the notification to staff for treatment are performed; the greater the sleep disorder diagnosis value SZD is, the running state value YX, the environment influence value HJ or the characteristic influence value TZ is in a reduced trend, when the sleep disorder diagnosis value SZD is smaller than a preset sleep disorder diagnosis value threshold YSZ, the diagnosis and treatment state is normal, a diagnosable signal is generated, diagnosis and treatment can be arranged to be continued, the diagnosis and treatment stage of AI diagnosis and treatment equipment can be combined, whether the necessity of continuing diagnosis and treatment exists or not is calculated, the diagnosis and treatment effect is improved, and intelligent use of the AI diagnosis and treatment equipment is achieved.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made without departing from the spirit and scope of the invention, which is defined in the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. An AI diagnosis and treatment system for inhibiting sleep disorder, characterized in that: comprising
And a data acquisition module: the method comprises the steps of acquiring operation parameters of the AI diagnosis and treatment equipment, wherein the operation parameters comprise an equipment operation noise value ZYZ and a usage deviation value SYZ;
and a data processing module: acquiring an operation state value YX of the AI diagnosis and treatment equipment by receiving the operation parameters, and comparing the operation state value YX with a preset operation state value threshold BYX;
if the running state value YX of the AI diagnosis and treatment equipment is more than or equal to a preset running state value threshold BYX, the operation abnormality of the AI diagnosis and treatment equipment is indicated, an equipment damage signal is sent, and diagnosis and treatment operation is not carried out;
If the running state value YX of the AI diagnosis and treatment equipment is smaller than the preset running state value threshold BYX, the AI diagnosis and treatment equipment is indicated to run normally, a normal signal of the equipment is sent, and diagnosis and treatment operation can be carried out;
AI diagnostic module: setting a diagnosis and treatment monitoring period based on a normal signal of the equipment, dividing the diagnosis and treatment period into a plurality of time nodes, respectively acquiring environmental parameters and human body characteristic parameters inside the AI diagnosis and treatment equipment according to the time nodes, and acquiring an environmental stability value HJ through the internal environmental parameters; acquiring a characteristic influence value TZ through human body characteristic parameters, acquiring a sleep disorder diagnosis value SZD based on an operation state value YX, an environment influence value HJ and the characteristic influence value TZ of AI diagnosis and treatment equipment, and comparing the sleep disorder diagnosis value SZD with a preset sleep disorder diagnosis value threshold YSZ;
if the sleep disorder diagnosis value SZD is smaller than a preset sleep disorder diagnosis value threshold YSZ, the diagnosis and treatment state is normal, a diagnosable signal is generated, and the diagnosis and treatment can be arranged to be continued;
If the sleep disorder diagnosis value SZD is more than or equal to a preset sleep disorder diagnosis value threshold YSZ, indicating that the diagnosis and treatment state is abnormal, generating an alarm signal, stopping diagnosis and treatment operation, and notifying staff to process;
And an adjustment module: scheduling to make a diagnosis immediately after receiving the diagnosable signal; after receiving the alarm signal, the problem existing in the AI diagnosis and treatment equipment is indicated, and workers need to be arranged for on-site treatment.
2. The AI diagnosis and treatment system for inhibiting sleep disorders according to claim 1, wherein: the acquisition mode of the equipment operation noise value ZYZ is as follows:
Acquiring a sound intensity value SQ generated in the running process of the AI diagnosis and treatment equipment in unit time, and sequentially marking the sound intensity values as SQ1 and SQ2 … … Sqi according to time sequence, wherein Sqi is the sound intensity value generated in the running process of the AI diagnosis and treatment equipment which is acquired last time in unit time, and bringing the sound intensity value into a formula And obtaining the equipment operation noise value ZYZ.
3. The AI diagnosis and treatment system for inhibiting sleep disorders according to claim 1, wherein: the acquisition mode of the usage deviation value SYZ is as follows:
Acquiring a standard working voltage UB of the AI diagnosis and treatment equipment, acquiring a real-time working voltage of the AI diagnosis and treatment equipment in an actual working operation state, recording the real-time working voltage as a real-time voltage value US, recording a difference value between the real-time voltage value US and the standard working voltage UB as a voltage difference value UC, acquiring a ratio between the voltage difference value UC and the standard working voltage UB, and recording the ratio as a voltage deviation value PU;
Acquiring a standard working current IB of the AI diagnosis and treatment equipment, acquiring a real-time working current of the monitoring equipment in an actual working operation state, marking the real-time working current as an actual current value IS, marking a difference value between the acquired actual current value IS and the standard working current IB as a current difference value IC, and marking a ratio between the current difference value IC and the standard working current IB as a current deviation value PI;
is brought into a formula by a voltage deviation value PU and a current deviation value PI The use deviation value SYZ is obtained, where a1, a2 are preset scaling factors, and a1+a2=1, a1> a2.
4. The AI diagnosis and treatment system for inhibiting sleep disorders according to claim 1, wherein: the data processing module obtains the operation state value YX of the AI diagnosis and treatment equipment by receiving the operation parameters, and specifically comprises the following steps:
Bringing the device operation noise value ZYZ and the use deviation value SYZ into the formula And obtaining an operation state value YX, wherein b1 and b2 are preset proportionality coefficients.
5. The AI diagnosis and treatment system for inhibiting sleep disorders according to claim 1, wherein: the AI diagnosis module obtains the internal environmental parameter of AI diagnosis and treatment equipment, specifically:
acquiring internal environment parameters of the AI diagnosis and treatment equipment according to a time node, wherein the internal environment parameters comprise a temperature difference value WD, a humidity difference value SD and an oxygen concentration stability difference value YW, and bringing the temperature difference value WD, the humidity difference value SD and the oxygen concentration stability difference value YW into a formula And obtaining an environment stable value HJ, wherein c1, c2 and c3 are all preset coefficient factors.
6. The AI diagnosis and treatment system for inhibiting sleep disorders according to claim 5, wherein: the specific acquisition method of the temperature difference value WD comprises the following steps:
and respectively acquiring temperature values in the AI diagnosis and treatment equipment according to the time nodes, adding all the temperature values to obtain an average value, and obtaining a ratio of the average temperature value to a preset temperature value after the average temperature value is different from the preset temperature value to obtain a temperature difference value WD.
7. The AI diagnosis and treatment system for inhibiting sleep disorders according to claim 5, wherein: the specific acquisition method of the humidity difference value SD comprises the following steps:
And respectively acquiring humidity values in the AI diagnosis and treatment equipment according to the time nodes, adding all the humidity values to obtain an average value, carrying out difference between the average value of the humidity and a preset humidity value, and then acquiring a ratio of the average value of the humidity to the preset humidity value to obtain a humidity difference value SD.
8. The AI diagnosis and treatment system for inhibiting sleep disorders according to claim 5, wherein: the specific acquisition method of the oxygen concentration stability difference value YW comprises the following steps:
and acquiring an oxygen concentration value in the AI diagnosis and treatment equipment according to the time node, and marking the oxygen concentration value as YQn, wherein n is a time node sequence number, and acquiring an average value of variances of the oxygen concentration value and a preset oxygen concentration value to obtain an oxygen concentration stability difference value YW.
9. The AI diagnosis and treatment system for inhibiting sleep disorders according to claim 1, wherein: the characteristic influence value TZ is obtained through the characteristic parameters of the human body, and specifically comprises the following steps:
obtaining the blood oxygen concentration value XNK of the user at the beginning time of the diagnosis and treatment monitoring period, obtaining the blood oxygen concentration value XNJ of the user at the ending time of the diagnosis and treatment monitoring period, and obtaining the blood oxygen concentration value XNJ of the user at the ending time of the diagnosis and treatment monitoring period through a formula And obtaining a characteristic influence value TZ.
10. The AI diagnosis and treatment system for inhibiting sleep disorders according to claim 1, wherein: the sleep disorder diagnosis value SZD is obtained by the following steps:
And (3) introducing the running state value YX, the environment influence value HJ and the characteristic influence value TZ of the AI diagnosis and treatment equipment into a formula SZD=YX× (HJ×d1+TZ×d2) to obtain a sleep disorder diagnosis value SZD, wherein d1 and d2 are preset proportionality coefficients.
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| CN202410978022.9A CN118512155B (en) | 2024-07-22 | 2024-07-22 | AI diagnosis and treatment system for inhibiting sleep disorder |
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