Ward ambient air online regulation and control method and system

Abstract

The invention relates to the technical field of ambient air regulation and control, and particularly discloses a ward ambient air online regulation and control method and system, and the method comprises the steps: monitoring the ambient air quality coefficient of a ward through an environment detector in a monitoring period, constructing an ambient air quality change curve according to the ambient air quality coefficient, and obtaining an ambient air quality performance value BX, judging whether to regulate and control the ambient air quality of the ward in the aspect of the ambient air quality based on the ambient air quality performance value BX, and monitoring state data of a patient in the ward through a patient monitor so as to obtain a patient state evaluation value PG; judging whether to regulate and control the ambient air quality of the ward on the basis of the obtained patient state evaluation value PG in the aspect of the patient state, and analyzing the state evaluation value PG of a non-target patient in the ward to obtain a quantity approach ratio SZ; and judging whether to regulate and control the ambient air quality of the ward or not on the basis of the obtained number proximity ratio SZ in the aspect that the patient state is close to the threshold state.

Description

Technical Field

[0001] The present invention relates to the technical field of ambient air control, and in particular to an online control method and system for ambient air in a ward. Background Art

[0002] Background technology of online air control method and system for ward environment mainly involves medical environment control technology, especially air quality control in hospital wards. The development of this technology is to improve the air quality in wards, reduce the risk of cross infection, and create a healthier and safer environment for patients and medical staff.

[0003] A Chinese patent application with publication number CN116935315B discloses a method, device, equipment and medium for monitoring the ward environment. The method includes: performing ward personnel analysis based on ward information and the number of visitors to determine the number of people affecting the results, performing stimulation behavior detection based on the activity behavior of each visitor to determine the behavior impact results corresponding to each of the visitors, and then, comprehensively analyzing the number of people affecting the results, the number of visitors, the behavior impact results of each visitor and the activity behavior of each visitor to determine the environmental analysis results. Then, when the environmental state is abnormal, an environmental control analysis is performed based on the abnormal information to determine the environmental control information and warning information, and the environmental control information is sent to the control device, and the warning information is sent to the warning device. By analyzing the ward environment by the number of visitors and their activity behavior, it is possible to quickly respond and handle when the ward environment is abnormal, thereby improving the accuracy of ward link monitoring.

[0004] In the prior art, ward environmental air control is generally performed when the ward environmental air quality reaches a set threshold, resulting in untimely and inefficient ward environmental air control, and failure to ensure the ward environmental air quality, thus affecting the health of patients. In addition, the prior art also lacks further accurate judgment on whether the ward environmental air needs to be regulated based on the analysis results of changes in the patient's condition, resulting in the problem that patients in the ward may not be able to adapt to the ward environmental air.

[0005] To this end, the present invention provides a method and system for online control of ambient air in a ward. Summary of the invention

[0006] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0007] The technical solution adopted by the present invention to solve the technical problem is: a method and system for online control of ward ambient air, comprising:

[0008] Step 1: During the monitoring period, the ambient air quality coefficient of the ward is monitored by an environmental detector, an ambient air quality change curve is constructed according to the ambient air quality coefficient, an ambient air quality performance value BX is obtained based on the analysis of the ambient air quality change curve, and whether the ambient air quality of the ward is to be regulated is determined based on the ambient air quality performance value BX, and a primary processing signal is generated, the primary processing signal including a regulation signal and a primary analysis signal;

[0009] Step 2: Based on the generation of the primary analysis signal, the patient's status data in the ward is monitored by a patient monitor, the status data including the status parameters corresponding to the patient in the warning period and the status parameters corresponding to the patient in the non-warning period, and the patient's status evaluation value PG is obtained by analyzing the patient's status data, and based on the obtained patient status evaluation value PG, it is determined whether to control the ambient air quality in the ward in terms of the patient's status, and a secondary processing signal is generated, and the secondary processing signal is divided into a control signal and a secondary analysis signal;

[0010] Step 3: Based on the generated secondary analysis signal, the quantity proximity ratio SZ is obtained by analyzing the status evaluation value PG of the non-target patients in the ward, and based on the obtained quantity proximity ratio SZ, it is determined whether to control the ambient air quality of the ward in terms of the patient status approaching the threshold state.

[0011] As a further solution of the present invention: the ambient air quality performance value BX is obtained in the following manner:

[0012] Obtain the air quality warning time value SJ and the air quality warning degree value CD;

[0013] The air quality warning time value SJ and the air quality warning degree value CD are processed by the formula: The ambient air quality performance value BX is obtained, wherein a1 and a2 are both preset proportional coefficients.

[0014] As a further solution of the present invention: the air quality warning time value SJ is obtained in the following manner:

[0015] A rectangular coordinate system is established with time as the X-axis and the ambient air quality coefficient as the Y-axis, and the ambient air quality coefficient is marked in the rectangular coordinate system to obtain an ambient air quality change curve;

[0016] In the rectangular coordinate system, draw an air quality reference line parallel to the X-axis with the ambient air quality coefficient warning value as the reference point on the Y-axis. Similarly, draw an air quality limit line parallel to the X-axis with the ambient air quality coefficient limit value as the reference point. The air quality reference line is below the air quality limit line.

[0017] When the ambient air quality change curve exceeds the air quality reference line but does not exceed the air quality limit line, the real-time monitoring obtains the duration of the ambient air quality change curve exceeding the air quality reference line, and the period corresponding to the duration is marked as the warning period; the real-time monitoring obtains the duration of the ambient air quality change curve not exceeding the air quality reference line, and the period corresponding to the duration is marked as the non-warning period;

[0018] The duration corresponding to the warning period is processed by ratio with the duration of the monitoring period to obtain the air quality warning time value, which is marked as SJ;

[0019] The air quality warning level CD is obtained as follows:

[0020] Get the ambient air quality coefficient during the warning period, perform subtraction processing on the ambient air quality coefficient and the ambient air quality coefficient warning value corresponding to the air quality reference line to obtain the quality coefficient difference, sum and average all the obtained quality coefficient differences to obtain the mean of the quality coefficient differences, perform ratio processing on the mean of the quality coefficient differences and the ambient air quality coefficient warning value to obtain the air quality warning degree value, and mark it CD.

[0021] As a further solution of the present invention: the process of judging whether to control the ambient air quality of the ward based on the ambient air quality performance value BX is as follows:

[0022] If the ambient air quality performance value BX ≥ the ambient air quality performance threshold BY, a control signal is generated;

[0023] If the ambient air quality performance value BX is less than the ambient air quality performance threshold BY, a primary analysis signal is generated.

[0024] As a further solution of the present invention: the patient status evaluation value PG is obtained in the following manner:

[0025] Obtain the respiratory abnormality value ZC and the respiratory rate deviation growth performance value SC;

[0026] The obtained abnormal breathing value ZC and the respiratory rate deviation growth performance value SC are processed by the formula: The patient status evaluation value PG is obtained, where q1 and q2 are both preset proportional coefficients.

[0027] As a further solution of the present invention: the abnormal breathing value ZC is obtained in the following manner:

[0028] Divide the non-warning period into several sub-periods of equal length, obtain the respiratory rate value of the patient in each sub-period, sum and average the respiratory rate values ​​of the patient in all sub-periods, and obtain the average respiratory rate in the non-warning period;

[0029] During the warning period, the warning period is divided into several sub-periods of equal length, which are marked as warning sub-periods, and the patient's respiratory rate value in the warning sub-period is obtained, and the value is first subtracted from the mean value of the respiratory rate in the non-warning period and then processed by absolute value to obtain the absolute mean difference of the respiratory rate, and the obtained absolute mean difference of the respiratory rate is processed by ratio with the mean value of the respiratory rate in the non-warning period to obtain the respiratory rate deviation ratio HZ;

[0030] The preset respiratory rate deviation ratio threshold is HZY;

[0031] If HZ≥HZY, the warning sub-period corresponding to the respiratory rate deviation ratio is marked as an abnormal warning sub-period;

[0032] Count the number of abnormal warning sub-periods, and perform ratio processing on it with the number of all warning sub-periods to obtain the respiratory abnormality value ZC;

[0033] The respiratory rate deviation growth performance value SC is obtained in the following manner:

[0034] Based on the abnormal warning sub-period, the respiratory frequency deviation ratio corresponding to the abnormal warning sub-period is obtained and the abnormal warning sub-period is numbered in chronological order, with the number as the X-axis and the respiratory frequency deviation ratio as the Y-axis, an XY rectangular coordinate system is constructed, and the respiratory frequency deviation ratio corresponding to each abnormal warning sub-period is marked and connected in the coordinate system to obtain a respiratory frequency deviation polyline;

[0035] The respiratory rate deviation polyline is divided into several sub-polyline segments, where the endpoints of the sub-polyline correspond to a respiratory rate deviation ratio respectively. The slope values ​​of the sub-polyline segments are measured, and the number of sub-polyline segments with slopes greater than 0 is counted and ratioed with the total number of sub-polyline segments to obtain the respiratory rate deviation growth performance value SC.

[0036] As a further solution of the present invention: comparing the patient state evaluation value PG with the patient state evaluation threshold PGY:

[0037] If the patient status evaluation value PG≤ the patient status evaluation threshold PGY, the patient's status is normal and the patient is marked as a non-target patient;

[0038] If the patient status evaluation value PG> the patient status evaluation threshold PGY, the patient's status is abnormal and the patient is marked as a target patient;

[0039] If the number of target patients in the ward is greater than or equal to 1, a control signal is generated;

[0040] If the target patient does not appear in the ward, a secondary analysis signal is generated.

[0041] As a further solution of the present invention: the method of obtaining the quantity closeness ratio SZ is:

[0042] Perform difference processing on the non-target patient state evaluation value PG and the patient state evaluation threshold PGY to obtain the non-target patient state proximity value JJ, and mark the non-target patient as a state parameter non-proximate patient and a state parameter proximity patient based on the non-target patient state proximity value JJ;

[0043] The number of patients whose state parameters are close to each other is counted, and the ratio is processed with the number of all non-target patients to obtain the proportion of the number of patients whose state parameters are close to each other, which is marked as the number close ratio SZ.

[0044] As a further solution of the present invention: the state parameter is close to the patient's marking process:

[0045] The obtained non-target patient state proximity value JJ is compared with the preset non-target patient state proximity threshold JY, specifically:

[0046] If the non-target patient state proximity value JJ ≥ the non-target patient state proximity threshold JY, the non-target patient is marked as a state parameter non-proximity patient;

[0047] If the non-target patient state proximity value JJ is less than the non-target patient state proximity threshold JY, the non-target patient is marked as a state parameter proximity patient.

[0048] As a further embodiment of the present invention:

[0049] Ward ambient air analysis module: during the monitoring period, the ambient air quality coefficient of the ward is monitored by an environmental detector, an ambient air quality change curve is constructed according to the ambient air quality coefficient, and an ambient air quality performance value BX is obtained based on the analysis of the ambient air quality change curve. Based on the ambient air quality performance value BX, it is determined whether the ambient air quality of the ward should be regulated in terms of ambient air quality, and a primary processing signal is generated, which includes a regulation signal and a primary analysis signal;

[0050] Ward ambient air re-analysis module: based on the generation of a primary analysis signal, the patient's status data in the ward is monitored through a patient monitor. The status data includes the status parameters corresponding to the patient in the warning period and the status parameters corresponding to the patient in the non-warning period. The patient's status evaluation value PG is obtained by analyzing the patient's status data. Based on the obtained patient status evaluation value PG, it is determined whether to control the ambient air quality in the ward in terms of the patient's status, and a secondary processing signal is generated. The secondary processing signal is divided into a control signal and a secondary analysis signal;

[0051] Ward environmental air control module: Based on the generation of secondary analysis signals, the quantity proximity ratio SZ is obtained by analyzing the status evaluation value PG of non-target patients in the ward, and based on the obtained quantity proximity ratio SZ, it is judged whether to control the environmental air quality of the ward in terms of the patient's status approaching the threshold state.

[0052] Beneficial effects of the present invention:

[0053] 1. During the monitoring period, the ambient air quality coefficient of the ward is monitored by an environmental detector, and an ambient air quality change curve is constructed based on the ambient air quality coefficient. Based on the analysis of the ambient air quality change curve, the ambient air quality performance value BX is obtained. Based on the ambient air quality performance value BX, it is determined whether the ambient air quality of the ward should be regulated in terms of ambient air quality, and a processing signal is generated. By real-time monitoring of the ward air quality, potential air quality problems can be discovered in time, and the ward ambient air can be regulated in advance.

[0054] 2. Based on generating a primary analysis signal, the patient's status data in the ward is monitored by a patient monitor, and the patient's status data is analyzed to obtain a patient status evaluation value PG. Based on the obtained patient status evaluation value PG, it is determined whether to perform environmental air quality control in the ward in terms of the patient's status. In this way, the environmental air control in the ward is more accurate. Based on generating a secondary analysis signal, the status evaluation value PG of non-target patients in the ward is analyzed to obtain a quantity proximity ratio SZ. Based on the obtained quantity proximity ratio SZ, it is determined whether to perform environmental air quality control in the ward in terms of the patient's status approaching a threshold state. By monitoring the status of non-target patients, the problem of environmental air quality in the ward can be discovered in advance, so that preventive measures can be taken to avoid the deterioration of the environmental air quality in the ward. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] The present invention will be further described below in conjunction with the accompanying drawings.

[0056] Figure 1 is a flowchart of the steps of a method for online control of ambient air in a ward according to an embodiment of the present invention;

[0057] Figure 2 It is a module diagram of an online control system for ward ambient air described in an embodiment of the present invention. DETAILED DESCRIPTION

[0058] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0059] Example 1

[0060] like Figure 1As shown, a method for online control of ambient air in a ward according to an embodiment of the present invention includes:

[0061] Step 1: During the monitoring period, the ambient air quality coefficient of the ward is monitored by an environmental detector, an ambient air quality change curve is constructed according to the ambient air quality coefficient, an ambient air quality performance value BX is obtained based on the analysis of the ambient air quality change curve, and whether the ambient air quality of the ward is to be regulated is determined based on the ambient air quality performance value BX, and a primary processing signal is generated, the primary processing signal including a regulation signal and a primary analysis signal;

[0062] The environmental air quality coefficient of the ward is obtained in real time through the environmental detector, a rectangular coordinate system is established with time as the X-axis and the environmental air quality coefficient as the Y-axis, the environmental air quality coefficient is marked in the rectangular coordinate system, and an environmental air quality change curve is obtained;

[0063] In the rectangular coordinate system, draw an air quality reference line parallel to the X-axis with the ambient air quality coefficient warning value as the reference point on the Y-axis. Similarly, draw an air quality limit line parallel to the X-axis with the ambient air quality coefficient limit value as the reference point. The air quality reference line is below the air quality limit line.

[0064] It should be noted that the ambient air quality coefficient warning value is set by those skilled in the art based on experience, and is a warning value set to prevent the ambient air quality coefficient from exceeding the limit range. The ambient air quality coefficient limit value represents a standard limit value set in advance according to the ambient air demand of the ward;

[0065] When the ambient air quality change curve exceeds the air quality reference line but does not exceed the air quality limit line, the real-time monitoring obtains the duration of the ambient air quality change curve exceeding the air quality reference line, and the period corresponding to the duration is marked as the warning period; the real-time monitoring obtains the duration of the ambient air quality change curve not exceeding the air quality reference line, and the period corresponding to the duration is marked as the non-warning period;

[0066] The duration corresponding to the warning period is processed by ratio with the duration of the monitoring period to obtain the air quality warning time value, which is marked as SJ;

[0067] Obtain the ambient air quality coefficient within the warning period, perform subtraction processing on the ambient air quality coefficient and the ambient air quality coefficient warning value corresponding to the air quality reference line to obtain the quality coefficient difference, sum and average all the obtained quality coefficient differences to obtain the mean value of the quality coefficient difference, perform ratio processing on the mean value of the quality coefficient difference and the ambient air quality coefficient warning value to obtain the air quality warning degree value, and mark it CD;

[0068] The air quality warning time value SJ and the air quality warning degree value CD are processed by the formula: Obtain the ambient air quality performance value BX, where a1 and a2 are both preset proportional coefficients;

[0069] It should be noted that the meaning of the ambient air quality performance value BX is: the ambient air quality performance value BX is calculated by the air quality warning time value SJ and the air quality warning degree value CD, wherein the air quality warning time value SJ represents the time that the ambient air quality change curve exceeds the air quality reference line and the duration of the monitoring period. The smaller the air quality warning time value SJ, the better the ambient air quality in the ward. The air quality warning degree value CD represents the ratio of the quality coefficient difference mean and the ambient air quality coefficient warning value. The smaller the air quality warning degree value CD, the smaller the pollution degree of the ambient air quality in the ward.

[0070] Preset ambient air quality performance threshold BY;

[0071] If the ambient air quality performance value BX ≥ the ambient air quality performance threshold BY, a control signal is generated, indicating that the ambient air in the ward does not meet the hospital requirements, and the ambient air in the ward needs to be controlled;

[0072] If the ambient air quality performance value BX is less than the ambient air quality performance threshold BY, it means that the ambient air in the ward meets the hospital requirements, and an analysis signal is generated;

[0073] The technical solution of the embodiment of the present invention is as follows: during the monitoring period, the ambient air quality coefficient of the ward is monitored by an environmental detector, an ambient air quality change curve is constructed based on the ambient air quality coefficient, and an ambient air quality performance value BX is obtained based on the analysis of the ambient air quality change curve. Based on the ambient air quality performance value BX, it is determined whether the ambient air quality of the ward should be regulated in terms of ambient air quality, and a processing signal is generated. By monitoring the air quality of the ward in real time, potential air quality problems can be discovered in time, and the ambient air of the ward can be regulated in advance.

[0074] Example 2

[0075] like Figure 1 As shown, a method for online control of ambient air in a ward according to an embodiment of the present invention includes:

[0076] Step 2: Based on the generation of the primary analysis signal, the patient's status data in the ward is monitored by a patient monitor, the status data including the status parameters corresponding to the patient in the warning period and the status parameters corresponding to the patient in the non-warning period, and the patient's status evaluation value PG is obtained by analyzing the patient's status data, and based on the obtained patient status evaluation value PG, it is determined whether to control the ambient air quality in the ward in terms of the patient's status, and a secondary processing signal is generated, and the secondary processing signal is divided into a control signal and a secondary analysis signal;

[0077] It should be noted that: the patient status parameters include the patient's respiratory rate value;

[0078] In some embodiments, the non-warning period is divided into a number of sub-periods of equal length, the respiratory frequency value of the patient in each sub-period is obtained, and the respiratory frequency values ​​of the patient in all sub-periods are summed and averaged to obtain the average respiratory frequency value in the non-warning period;

[0079] During the warning period, the warning period is divided into several sub-periods of equal length, which are marked as warning sub-periods, and the patient's respiratory rate value in the warning sub-period is obtained, and the value is first subtracted from the mean value of the respiratory rate in the non-warning period and then processed by absolute value to obtain the absolute mean difference of the respiratory rate, and the obtained absolute mean difference of the respiratory rate is processed by ratio with the mean value of the respiratory rate in the non-warning period to obtain the respiratory rate deviation ratio HZ;

[0080] It should be noted that the division of warning periods is the same as the division of non-warning periods;

[0081] The preset respiratory rate deviation ratio threshold is HZY;

[0082] If HZ≥HZY, the warning sub-period corresponding to the respiratory rate deviation ratio is marked as an abnormal warning sub-period;

[0083] If HZ<HZY, the warning sub-period corresponding to the respiratory rate deviation ratio is marked as a normal warning sub-period;

[0084] Count the number of abnormal warning sub-periods, and perform ratio processing on it with the number of all warning sub-periods to obtain the respiratory abnormality value ZC;

[0085] Based on the abnormal warning sub-period, the respiratory frequency deviation ratio corresponding to the abnormal warning sub-period is obtained and the abnormal warning sub-period is numbered in chronological order, with the number as the X-axis and the respiratory frequency deviation ratio as the Y-axis, an XY rectangular coordinate system is constructed, and the respiratory frequency deviation ratio corresponding to each abnormal warning sub-period is marked and connected in the coordinate system to obtain a respiratory frequency deviation polyline;

[0086] The respiratory rate deviation polyline is divided into several sub-polyline segments, wherein the endpoints of the sub-polyline correspond to a respiratory rate deviation ratio respectively, the slope values ​​of the sub-polyline segments are measured, the number of sub-polyline segments with slopes greater than 0 is counted, and the ratio is processed with the total number of sub-polyline segments to obtain the respiratory rate deviation growth performance value SC;

[0087] The obtained abnormal breathing value ZC and the respiratory rate deviation growth performance value SC are processed by the formula: Obtain the patient status evaluation value PG, where q1 and q2 are both preset proportional coefficients;

[0088] The patient status assessment threshold PGY is preset, and the patient status assessment value PG is compared with the patient status assessment threshold PGY:

[0089] If the patient status evaluation value PG≤ the patient status evaluation threshold PGY, the patient's status is normal and the patient is marked as a non-target patient;

[0090] If the patient status evaluation value PG> the patient status evaluation threshold PGY, the patient's status is abnormal and the patient is marked as a target patient;

[0091] If the number of target patients in the ward is greater than or equal to 1, a control signal is generated;

[0092] If the target patient does not appear in the ward, a secondary analysis signal is generated;

[0093] Step 3: Based on the generated secondary analysis signal, the number proximity ratio SZ is obtained by analyzing the state evaluation value PG of the non-target patient in the ward, and based on the obtained number proximity ratio SZ, it is determined whether to control the ambient air quality of the ward in terms of the patient state approaching the threshold state;

[0094] The non-target patient state evaluation value PG is processed with the patient state evaluation threshold PGY to obtain the non-target patient state proximity value JJ, and the obtained non-target patient state proximity value JJ is compared with the preset non-target patient state proximity threshold JY. Specifically:

[0095] If the non-target patient state proximity value JJ ≥ the non-target patient state proximity threshold JY, the non-target patient is marked as a state parameter non-proximity patient;

[0096] If the non-target patient state proximity value JJ is less than the non-target patient state proximity threshold JY, the non-target patient is marked as a state parameter proximity patient;

[0097] The number of patients with close status parameters is counted, and the ratio is processed with the number of non-target patients to obtain the ratio of the number of patients with close status parameters, which is marked as the number close ratio SZ;

[0098] The preset number is close to the threshold value BY;

[0099] If the number proximity ratio SZ>the number proximity ratio threshold BY, the ambient air in the ward does not need to be regulated;

[0100] If the quantity proximity ratio SZ ≤ the quantity proximity ratio threshold BY, the ambient air in the ward needs to be regulated; the technical solution of the embodiment of the present invention: based on generating a primary analysis signal, monitoring the status data of the patient in the ward through a patient monitor, obtaining the patient status evaluation value PG by analyzing the patient status data, judging whether to regulate the ambient air quality in the ward based on the obtained patient status evaluation value PG, in this way, the ambient air control in the ward is made more accurate, based on generating a secondary analysis signal, obtaining the quantity proximity ratio SZ by analyzing the status evaluation value PG of non-target patients in the ward, judging whether to regulate the ambient air quality in the ward based on the obtained quantity proximity ratio SZ, and by monitoring the status of non-target patients, the ambient air quality problems in the ward can be discovered in advance, thereby taking preventive measures to avoid the deterioration of the ambient air quality in the ward.

[0101] Example 3

[0102] like Figure 2 As shown, an online control system for ward ambient air according to an embodiment of the present invention includes:

[0103] Ward ambient air analysis module: during the monitoring period, the ambient air quality coefficient of the ward is monitored by an environmental detector, an ambient air quality change curve is constructed according to the ambient air quality coefficient, and an ambient air quality performance value BX is obtained based on the analysis of the ambient air quality change curve. Based on the ambient air quality performance value BX, it is determined whether the ambient air quality of the ward should be regulated in terms of ambient air quality, and a primary processing signal is generated, which includes a regulation signal and a primary analysis signal;

[0104] Ward ambient air re-analysis module: based on the generation of a primary analysis signal, the patient's status data in the ward is monitored through a patient monitor. The status data includes the status parameters corresponding to the patient in the warning period and the status parameters corresponding to the patient in the non-warning period. The patient's status evaluation value PG is obtained by analyzing the patient's status data. Based on the obtained patient status evaluation value PG, it is determined whether to control the ambient air quality in the ward in terms of the patient's status, and a secondary processing signal is generated. The secondary processing signal is divided into a control signal and a secondary analysis signal;

[0105] Ward environmental air control module: Based on the generation of secondary analysis signals, the quantity proximity ratio SZ is obtained by analyzing the status evaluation value PG of non-target patients in the ward, and based on the obtained quantity proximity ratio SZ, it is judged whether to control the environmental air quality of the ward in terms of the patient's status approaching the threshold state.

[0106] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A method for online control of ward ambient air, characterized in that: include: Step 1: During the monitoring period, the ambient air quality coefficient of the ward is monitored by an environmental detector, an ambient air quality change curve is constructed according to the ambient air quality coefficient, an ambient air quality performance value BX is obtained based on the analysis of the ambient air quality change curve, and whether the ambient air quality of the ward is to be regulated is determined based on the ambient air quality performance value BX, and a primary processing signal is generated, the primary processing signal including a regulation signal and a primary analysis signal; Step 2: Based on the generation of the primary analysis signal, the patient's status data in the ward is monitored by a patient monitor, the status data including the status parameters corresponding to the patient in the warning period and the status parameters corresponding to the patient in the non-warning period, and the patient's status evaluation value PG is obtained by analyzing the patient's status data, and based on the obtained patient status evaluation value PG, it is determined whether to control the ambient air quality in the ward in terms of the patient's status, and a secondary processing signal is generated, and the secondary processing signal is divided into a control signal and a secondary analysis signal; Step 3: Based on the generated secondary analysis signal, the quantity proximity ratio SZ is obtained by analyzing the status evaluation value PG of the non-target patients in the ward, and based on the obtained quantity proximity ratio SZ, it is determined whether to control the ambient air quality of the ward in terms of the patient status approaching the threshold state.

2. The method for online control of ward ambient air according to claim 1, characterized in that: The ambient air quality performance value BX is obtained as follows: Obtain the air quality warning time value SJ and the air quality warning degree value CD; The air quality warning time value SJ and the air quality warning degree value CD are processed by the formula: The ambient air quality performance value BX is obtained, wherein a1 and a2 are both preset proportional coefficients.

3. The method for online control of ward ambient air according to claim 2, characterized in that: The air quality warning time value SJ is obtained in the following manner: A rectangular coordinate system is established with time as the X-axis and the ambient air quality coefficient as the Y-axis, and the ambient air quality coefficient is marked in the rectangular coordinate system to obtain an ambient air quality change curve; In the rectangular coordinate system, draw an air quality reference line parallel to the X-axis with the ambient air quality coefficient warning value as the reference point on the Y-axis. Similarly, draw an air quality limit line parallel to the X-axis with the ambient air quality coefficient limit value as the reference point. The air quality reference line is below the air quality limit line. When the ambient air quality change curve exceeds the air quality reference line but does not exceed the air quality limit line, the real-time monitoring obtains the duration of the ambient air quality change curve exceeding the air quality reference line, and the period corresponding to the duration is marked as the warning period; the real-time monitoring obtains the duration of the ambient air quality change curve not exceeding the air quality reference line, and the period corresponding to the duration is marked as the non-warning period; The duration corresponding to the warning period is processed by ratio with the duration of the monitoring period to obtain the air quality warning time value, which is marked as SJ; The air quality warning level CD is obtained as follows: Get the ambient air quality coefficient during the warning period, perform subtraction processing on the ambient air quality coefficient and the ambient air quality coefficient warning value corresponding to the air quality reference line to obtain the quality coefficient difference, sum and average all the obtained quality coefficient differences to obtain the mean of the quality coefficient differences, perform ratio processing on the mean of the quality coefficient differences and the ambient air quality coefficient warning value to obtain the air quality warning degree value, and mark it CD.

4. The method for online control of ward ambient air according to claim 1, characterized in that: The process of judging whether to control the ambient air quality of the ward based on the ambient air quality performance value BX is as follows: If the ambient air quality performance value BX ≥ the ambient air quality performance threshold BY, a control signal is generated; If the ambient air quality performance value BX is less than the ambient air quality performance threshold BY, a primary analysis signal is generated.

5. The method for online control of ward ambient air according to claim 1, characterized in that: The patient status evaluation value PG is obtained as follows: Obtain the respiratory abnormality value ZC and the respiratory rate deviation growth performance value SC; The obtained abnormal breathing value ZC and the respiratory rate deviation growth performance value SC are processed by the formula: The patient status evaluation value PG is obtained, where q1 and q2 are both preset proportional coefficients.

6. A method for online control of ward ambient air according to claim 5, characterized in that: The abnormal breathing value ZC is obtained as follows: Divide the non-warning period into several sub-periods of equal length, obtain the respiratory rate value of the patient in each sub-period, sum and average the respiratory rate values ​​of the patient in all sub-periods, and obtain the average respiratory rate in the non-warning period; During the warning period, the warning period is divided into several sub-periods of equal length, which are marked as warning sub-periods, and the patient's respiratory rate value in the warning sub-period is obtained, and the value is first subtracted from the mean value of the respiratory rate in the non-warning period and then processed by absolute value to obtain the absolute mean difference of the respiratory rate, and the obtained absolute mean difference of the respiratory rate is processed by ratio with the mean value of the respiratory rate in the non-warning period to obtain the respiratory rate deviation ratio HZ; The preset respiratory rate deviation ratio threshold is HZY; If HZ≥HZY, the warning sub-period corresponding to the respiratory rate deviation ratio is marked as an abnormal warning sub-period; Count the number of abnormal warning sub-periods, and perform ratio processing on it with the number of all warning sub-periods to obtain the respiratory abnormality value ZC; The respiratory rate deviation growth performance value SC is obtained in the following manner: Based on the abnormal warning sub-period, the respiratory frequency deviation ratio corresponding to the abnormal warning sub-period is obtained and the abnormal warning sub-period is numbered in chronological order, with the number as the X-axis and the respiratory frequency deviation ratio as the Y-axis, an XY rectangular coordinate system is constructed, and the respiratory frequency deviation ratio corresponding to each abnormal warning sub-period is marked and connected in the coordinate system to obtain a respiratory frequency deviation polyline; The respiratory rate deviation polyline is divided into several sub-polyline segments, where the endpoints of the sub-polyline correspond to a respiratory rate deviation ratio respectively. The slope values ​​of the sub-polyline segments are measured, and the number of sub-polyline segments with slopes greater than 0 is counted and ratioed with the total number of sub-polyline segments to obtain the respiratory rate deviation growth performance value SC.

7. The method for online control of ward ambient air according to claim 5, characterized in that: Compare the patient state assessment value PG with the patient state assessment threshold PGY: If the patient status evaluation value PG≤ the patient status evaluation threshold PGY, the patient's status is normal and the patient is marked as a non-target patient; If the patient status evaluation value PG> the patient status evaluation threshold PGY, the patient's status is abnormal and the patient is marked as a target patient; If the number of target patients in the ward is greater than or equal to 1, a control signal is generated; If the target patient does not appear in the ward, a secondary analysis signal is generated.

8. The method for online control of ward ambient air according to claim 1, characterized in that: The method for obtaining the quantity closeness ratio SZ is as follows: Perform difference processing on the non-target patient state evaluation value PG and the patient state evaluation threshold PGY to obtain the non-target patient state proximity value JJ, and mark the non-target patient as a state parameter non-proximate patient and a state parameter proximity patient based on the non-target patient state proximity value JJ; The number of patients whose state parameters are close to each other is counted, and the ratio is processed with the number of all non-target patients to obtain the proportion of the number of patients whose state parameters are close to each other, which is marked as the number close ratio SZ.

9. The method for online control of ward ambient air according to claim 1, characterized in that: The state parameters are close to the patient's marking process: The obtained non-target patient state proximity value JJ is compared with the preset non-target patient state proximity threshold JY, specifically: If the non-target patient state proximity value JJ ≥ the non-target patient state proximity threshold JY, the non-target patient is marked as a state parameter non-proximity patient; If the non-target patient state proximity value JJ is less than the non-target patient state proximity threshold JY, the non-target patient is marked as a state parameter proximity patient.

10. An online control system for ambient air in a ward, the system being used to implement the control method according to any one of claims 1 to 9, characterized in that: include: Ward ambient air analysis module: during the monitoring period, the ambient air quality coefficient of the ward is monitored by an environmental detector, an ambient air quality change curve is constructed according to the ambient air quality coefficient, and an ambient air quality performance value BX is obtained based on the analysis of the ambient air quality change curve. Based on the ambient air quality performance value BX, it is determined whether the ambient air quality of the ward should be regulated in terms of ambient air quality, and a primary processing signal is generated, which includes a regulation signal and a primary analysis signal; Ward ambient air re-analysis module: based on the generation of a primary analysis signal, the patient's status data in the ward is monitored through a patient monitor. The status data includes the status parameters corresponding to the patient in the warning period and the status parameters corresponding to the patient in the non-warning period. The patient's status evaluation value PG is obtained by analyzing the patient's status data. Based on the obtained patient status evaluation value PG, it is determined whether to control the ambient air quality in the ward in terms of the patient's status, and a secondary processing signal is generated. The secondary processing signal is divided into a control signal and a secondary analysis signal; Ward environmental air control module: Based on the generation of secondary analysis signals, the quantity proximity ratio SZ is obtained by analyzing the status evaluation value PG of non-target patients in the ward, and based on the obtained quantity proximity ratio SZ, it is judged whether to control the environmental air quality of the ward in terms of the patient's status approaching the threshold state.

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