Night intelligent calling system and method

Abstract

The invention discloses a nighttime intelligent calling system and method, and relates to the technical field of nighttime calling, a physical sign monitoring module is arranged to monitor a plurality of physical sign parameters of a target hospital nursing object in real time, a second calling recognition unit is arranged to jointly select and generate a calling instruction from the perspective of the plurality of physical sign parameters, and the calling instruction is sent to the nighttime calling module. In this way, the abnormal condition of the body of the nursed object can be captured more comprehensively and accurately, and it is ensured that medical staff can receive the most accurate calling information at the first time; according to the invention, the call management unit is arranged to periodically analyze the call instruction and dynamically adjust the conjugate recognition duration of the corresponding conjugate parameter combination by analyzing the monitoring value of each sign parameter contained in the call instruction, so that the nursing service is more timely and accurate; the extensibility of the system is further enhanced, the quality and efficiency of nursing service are further improved, and the safety of a nursed object is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of nighttime calling, and in particular to a system and method for nighttime intelligent calling. Background Art

[0002] In the field of medical care, nighttime monitoring and timely response to care recipients are key links in protecting the life and health of care recipients. However, the existing nighttime care recipient monitoring and call systems have many shortcomings and are difficult to meet actual needs.

[0003] An existing nighttime monitoring system uses two methods to monitor the vital sign parameters of the nursing object simultaneously. One is to determine whether to call based on whether a single vital sign parameter exceeds a preset threshold, and the other is to judge from the comprehensive situation of multiple vital sign parameters. However, in the process of judging from the comprehensive situation of multiple vital sign parameters, in order to ensure the accuracy of the judgment, the system uses a fixed frequency for judgment. This fixed frequency judgment method has obvious defects. For some vital sign parameters that show abnormal characteristics too early, the calling time is undoubtedly delayed, resulting in untimely calling, which will lead to untimely provision of nursing services and failure to ensure the safety of the nursing object.

[0004] In order to solve the above problems, the present invention proposes a solution. Summary of the invention

[0005] The purpose of the present invention is to provide a nighttime intelligent calling system and method, in order to solve the problems raised in the above background technology;

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A nighttime intelligent calling system, comprising:

[0008] A physical sign monitoring module, used for real-time monitoring of several physical sign parameters of the nursing object in the target hospital, wherein the physical sign monitoring module comprises several physical sign monitoring units, and one physical sign monitoring unit corresponds to monitoring one physical sign parameter of the nursing object;

[0009] The vital sign monitoring unit collects the monitoring values ​​of the corresponding vital sign parameters of the nursing object in real time and generates the monitoring data of the nursing object based on the corresponding vital sign parameters according to the monitoring values;

[0010] The second call identification unit pre-stores a plurality of conjugation parameter combinations, one conjugation parameter combination corresponds to a preset conjugation limit value and a conjugation identification duration, and one conjugation parameter combination includes a plurality of vital sign parameters;

[0011] The second call identification unit receives the transmitted monitoring data of the nursing object based on the corresponding vital sign parameters and stores the data;

[0012] The second call identification unit periodically determines whether the nursing object is a passive call for all conjugated parameter combinations and standard conjugated combinations according to a preset passive call determination rule, selects and generates a call instruction based on the determination result, and transmits the call instruction to the nursing supervision module and the call management unit respectively;

[0013] A nursing supervision center is used to supervise the nursing objects in the target hospital. After receiving the transmitted call instruction, the nursing supervision center uses sound and light alarms to notify the nursing staff on duty at the target hospital;

[0014] The call management unit stores the transmitted call instruction after receiving it. The call management unit periodically analyzes the stored call instruction according to preset analysis steps to generate corresponding conjugate optimization data, and transmits the conjugate optimization data to the second call identification unit. The second call identification unit updates and stores the conjugate identification time of all conjugate parameter combinations stored therein according to the received conjugate optimization data.

[0015] Furthermore, it also includes a first call identification unit, in which preset over-limit values ​​of all vital sign parameters are pre-stored. After receiving the transmitted monitoring data of the nursing object based on the vital sign parameters, the first call identification unit extracts the vital sign parameters and monitoring values ​​therein, obtains the preset over-limit values ​​of the vital sign parameters stored in the first call identification unit according to the extracted vital sign parameters, compares the obtained preset over-limit values ​​with the extracted monitoring values, and if the preset over-limit value is greater than the monitoring value, no processing is performed; otherwise, a call instruction is generated according to the received monitoring data.

[0016] Furthermore, the number of the vital sign parameters in a conjugate parameter combination is at least two.

[0017] A method for nighttime intelligent calling, comprising the following steps:

[0018] Step 1: The vital sign monitoring module monitors several vital sign parameters of the nursing object of the target hospital in real time to obtain monitoring data of the nursing object based on the corresponding vital sign parameters, and transmits the monitoring data to the first call identification unit and the second call identification unit respectively;

[0019] Step 2: For each characteristic parameter monitoring data received, the first call identification unit extracts the vital sign parameters and the monitoring values ​​therein, obtains the preset over-limit value of the vital sign parameters stored in the first call identification unit according to the extracted vital sign parameters, compares the obtained preset over-limit value with the extracted monitoring value, and if the preset over-limit value is greater than the monitoring value, no processing is performed; otherwise, a call instruction is generated according to the received monitoring data, and the call instruction is transmitted to the nursing supervision center;

[0020] The second call identification unit stores the received monitoring data of each characteristic parameter;

[0021] Step 3: After receiving the transmitted call instruction, the nursing supervision center uses sound and light alarms to notify the nursing staff on duty at the target hospital;

[0022] Step 4: The second call identification unit periodically determines whether the nursing object is a passive call for all conjugated parameter combinations and standard conjugated combinations according to the preset passive call determination rules, selects and generates a call instruction based on the determination result, and transmits the call instruction to the nursing supervision module and the call management unit respectively;

[0023] Step 5: After receiving the transmitted call instruction, the call management unit stores it. The call management unit periodically analyzes the stored call instruction according to the preset analysis steps to generate corresponding conjugate optimization data, and transmits the conjugate optimization data to the second call identification unit. The second call identification unit updates and stores the conjugate identification time of all conjugate parameter combinations stored therein according to the received conjugate optimization data.

[0024] Beneficial effects of the present invention:

[0025] (1) The present invention sets a vital sign monitoring module to monitor several vital sign parameters of the nursing object in the target hospital in real time, sets a first call recognition unit to select a call instruction from the perspective of a single vital sign parameter, sets a second call recognition unit to jointly select and generate a call instruction from the perspective of multiple vital sign parameters, and sets a nursing supervision center to remind the nursing staff on duty to handle it in time. In this way, the abnormal physical condition of the nursing object can be captured more comprehensively and accurately, ensuring that the medical staff can receive the most accurate call information at the first time, so as to take effective nursing and treatment measures in time;

[0026] (2) The present invention sets a call management unit to periodically analyze the call instructions and dynamically adjusts the conjugate recognition time of the corresponding conjugate parameter combination by analyzing the monitoring values ​​of each vital sign parameter contained in the call instructions. In this way, not only the nursing service is made more timely and accurate, but also the scalability of the system is further enhanced, the quality and efficiency of the nursing service are further improved, and the safety of the nursing object is ensured. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The present invention will be further described below in conjunction with the accompanying drawings.

[0028] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0029] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0030] like Figure 1 As shown, a nighttime intelligent calling system and method includes a vital sign monitoring module, a passive calling module and a nursing supervision center;

[0031] The vital sign monitoring module is used to perform real-time vital sign monitoring of the nursing object in the target hospital. The vital sign monitoring module includes a plurality of vital sign monitoring units, and one of the vital sign monitoring units corresponds to monitoring a vital sign parameter of the nursing object. In this embodiment, the nursing object refers to a bedridden patient who is registered in the target hospital;

[0032] In this embodiment, the physical sign parameters include heart rate, respiratory rate, body temperature, blood pressure, number of turning over and blood oxygen saturation;

[0033] The vital sign monitoring unit collects the monitoring values ​​of the corresponding vital sign parameters of the nursing object in real time and generates the monitoring data of the nursing object based on the corresponding vital sign parameters. It should be noted that one monitoring data contains the name of the nursing object, the vital sign parameters and the monitoring values ​​at a moment, and transmits the monitoring data to the passive call module;

[0034] A passive call module, used for intelligently calling nursing staff of a target hospital to provide services to a nursing object, the passive call module comprising a first call identification unit, a second call identification unit and a call management unit;

[0035] The passive call module receives the transmitted monitoring data of the nursing object based on the corresponding vital sign parameters and transmits it to the first call identification unit and the second call identification unit;

[0036] The first call identification unit pre-stores preset over-limit values ​​of all vital sign parameters. After receiving the transmitted monitoring data of the nursing object based on the vital sign parameters, the first call identification unit extracts the vital sign parameters and the monitoring values ​​therein, obtains the preset over-limit values ​​of the vital sign parameters stored in the first call identification unit according to the extracted vital sign parameters, compares the obtained preset over-limit values ​​with the extracted monitoring values, and does not perform any processing if the preset over-limit value is greater than the monitoring value, otherwise generates a call instruction according to the received monitoring data, and transmits the call instruction to the nursing supervision center;

[0037] The nursing supervision center is used to supervise the nursing objects in the target hospital. After receiving the transmitted call instruction, the nursing supervision center uses sound and light alarms to notify the current nursing staff on duty in the target hospital, and simultaneously displays the monitoring data to the nursing staff on duty for viewing, so that they can quickly understand and process;

[0038] The second call identification unit pre-stores a plurality of conjugation parameter combinations, one conjugation parameter combination corresponding to a preset conjugation over-limit value and a conjugation identification duration;

[0039] A conjugate parameter combination includes a plurality of physical sign parameters. In this embodiment, the number of physical sign parameters in a conjugate parameter combination is at least two;

[0040] The second call identification unit stores the transmitted monitoring data of the nursing object based on the corresponding vital sign parameters after receiving the monitoring data;

[0041] The second call identification unit periodically determines whether the nursing object is a passive call according to a preset passive call determination rule for all conjugation parameter combinations and standard conjugation combinations;

[0042] Taking a conjugated parameter combination as an example, the passive call determination rule for determining whether the nursing object is passively called by the second call identification unit according to the conjugated parameter combination in the current conjugated identification cycle is as follows:

[0043] S11: marking all the physical sign parameters included in the conjugate parameter combination as A1, A2, ..., Aa, where a≥1;

[0044] S12: obtaining the difference between the largest monitored value and the smallest monitored value from all monitored values ​​of the vital sign parameter A1 stored in the current conjugate identification cycle, and calibrating the difference as the variation span B1 of the vital sign parameter A1;

[0045] According to the order of the storage time, the monitoring values ​​of the physical sign parameter A1 stored in two adjacent time periods are subtracted to obtain a plurality of groups of difference values, and the average value of the plurality of groups of difference values ​​is calculated by using the addition and averaging formula, and the average value is calibrated as the difference degree C1 of the physical sign parameter A1;

[0046] S13: according to S12, respectively calculate and obtain the change span and difference degree of the physical sign parameters A2, A3, ..., Aa;

[0047] S14: Utilize the formula Calculate and obtain the characteristic call evaluation value D1 of the nursing object in the current conjugate recognition cycle, where ɑ1 and ɑ2 are respectively the preset first and second dimension balance factors, which are used to adjust the variation span and the difference degree. The characteristics of these two different dimensions can be numerically calculated in the same dimension, and βd represents the preset evaluation ratio coefficient of different characteristic parameters;

[0048] S15: D1 and D are compared in size. If D1≥D, it is determined that the nursing object needs a passive call in the current conjugate identification cycle. A call instruction is generated according to all monitoring values ​​of the vital sign parameters A1, A2, ..., Aa stored in the current conjugate identification cycle and the combination of the conjugate parameters. The call instruction is transmitted to the nursing supervision center and the call management unit. After receiving the transmitted call instruction, the nursing supervision center uses sound and light alarms to notify the current on-duty nursing staff of the target hospital, and simultaneously displays all monitoring values ​​of the vital sign parameters A1, A2, ..., Aa stored in the current conjugate identification cycle to the on-duty nursing staff for viewing, so that they can quickly understand and process, wherein D is a preset passive call determination threshold;

[0049] The call management unit stores the transmitted call instruction after receiving it;

[0050] Otherwise, it is determined that the care object does not need passive calling in the current conjugate identification cycle, and no processing is performed;

[0051] It should be noted that, in the above example, the interval duration of the conjugate recognition period is the conjugate recognition duration corresponding to the conjugate parameter combination;

[0052] The call management unit periodically analyzes all stored call instructions. In the current analysis management cycle, the call management unit analyzes all stored call instructions in the current analysis management cycle. The analysis steps are as follows:

[0053] S21: firstly, a conjugate parameter combination is selected as the combination to be managed, and all call instructions including the combination to be managed are obtained from all call instructions stored in the current analysis management cycle, and all the obtained call instructions are marked as E1, E2, ..., Ee, where e≥1;

[0054] At the same time, all the physical sign parameters contained in the combination to be managed are obtained and marked as F1, F2, ..., Ff, f≥1

[0055] S22: Select several node moments of the characteristic parameter F1 according to the preset selection steps, the selection steps are as follows:

[0056] SS11: extract the monitoring value of the vital sign parameter F1 collected first from the call instruction E1 in the order of collection, select the collection time of the monitoring value as the starting time, take the starting time as the starting point, select a collection time in the next several time points as a node time of the characteristic parameter F1, wherein all the monitoring values ​​of the vital sign parameter F1 collected between the starting time and the node time meet the preset first screening condition:

[0057] The difference between the maximum monitoring value and the minimum monitoring value and the change span of the characteristic parameter F1 is less than or equal to P1, where P1 is a preset change span difference threshold;

[0058] According to the time sequence of acquisition, the monitoring values ​​of the vital sign parameter F1 acquired at two adjacent moments are subtracted to obtain a plurality of groups of difference values, and the average value of the plurality of groups of difference values ​​is calculated by using the addition and averaging formula, and the difference between the average value and the degree of difference of the characteristic parameter F1 is less than or equal to P2, where P2 is a preset difference span difference threshold;

[0059] It should be noted here that, if there are several collection moments that can be used as node moments after the preset first screening condition, the collection moment with the shortest interval with the start moment is selected as a node moment of the characteristic parameter F1;

[0060] SS22: The most recent acquisition time selected as the node time is taken as the starting time, and a node time of the characteristic parameter F1 is selected again according to S22. According to the above method, several node times are selected in sequence until there is no acquisition time that can be used as the node time;

[0061] S23: Selecting several node moments of characteristic parameters F2, ..., Ff in sequence according to S22;

[0062] S24: Extract the monitored value of the vital sign parameter F1 that was collected first from the call instruction E1 in the order of collection, and use the collection time of the monitored value as the analysis start time of the call instruction E1;

[0063] Traverse all the node times of the characteristic parameters F1, F2,..., Ff, and select a node time as the analysis end time of the call instruction E1, where all the times between the analysis start time and the analysis end time satisfy the preset second screening condition:

[0064] Among all the times between the analysis start time and the analysis end time, there is at least one node time of the characteristic parameters F1, F2,..., Ff, and the characteristic parameter corresponding to the analysis end time has and only has one node time among all the times between the analysis start time and the analysis end time;

[0065] S25: Obtain the time interval between the analysis start time and the analysis end time, and use the time interval as the conjugate appearance duration G1 of the call instruction E1;

[0066] S26: Calculate and obtain the conjugate appearance durations G2, G3,..., Ge of the call instructions E2, E3,..., Ee in sequence according to S21 to S25;

[0067] S27: Use the formula to calculate and obtain the deviation H1 of the conjugate appearance durations of the call instructions E1, E2,..., Ee. Compare the magnitudes of H1 and H. At this time, G is the average value of Gg, and H is the preset conjugate appearance duration deviation threshold of the combination to be managed;

[0068] If H1 ≥ H, then delete the corresponding Gg in descending order of |Gg - G|, and calculate the deviation H1 of the remaining Gg. At this time, compare the magnitudes of H1 and H again until H1 < H. Obtain the average value of the remaining Gg at this time, and use the average value as the conjugate optimization duration of the combination to be managed;

[0069] S28: Select all the conjugate parameter combinations as the combinations to be managed in sequence, calculate and obtain the conjugate optimization durations of all the conjugate parameter combinations in sequence according to S21 to S27, generate the conjugate duration optimization data of the current analysis and management cycle based on the calculated conjugate optimization durations of all the conjugate parameter combinations, and transmit the conjugate optimization data to the second call recognition unit;

[0070] After receiving the transmitted conjugate duration optimization data of the current analysis and management cycle, the second call recognition unit updates and stores the conjugate recognition durations of the corresponding conjugate parameter combinations stored in the second call recognition unit according to the conjugate optimization durations of all the conjugate parameter combinations included therein;

[0071] In the description of the specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0072] The above contents are merely examples and explanations of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the invention or exceed the scope defined by the claims, they shall all fall within the protection scope of the present invention.

[0073] 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 nighttime intelligent calling system, characterized in that: include: A physical sign monitoring module, used for real-time monitoring of several physical sign parameters of the nursing object in the target hospital, wherein the physical sign monitoring module comprises several physical sign monitoring units, and one physical sign monitoring unit corresponds to monitoring one physical sign parameter of the nursing object; The vital sign monitoring unit collects the monitoring values ​​of the corresponding vital sign parameters of the nursing object in real time and generates the monitoring data of the nursing object based on the corresponding vital sign parameters according to the monitoring values; The second call identification unit pre-stores a plurality of conjugation parameter combinations, one conjugation parameter combination corresponds to a preset conjugation limit excess value and a conjugation identification duration, and one conjugation parameter combination includes a plurality of vital sign parameters; The second call identification unit receives the transmitted monitoring data of the nursing object based on the corresponding vital sign parameters and stores the data; The second call identification unit periodically determines whether the nursing object is a passive call for all conjugated parameter combinations and standard conjugated combinations according to a preset passive call determination rule, selects and generates a call instruction based on the determination result, and transmits the call instruction to the nursing supervision module and the call management unit respectively; A nursing supervision center is used to supervise the nursing objects in the target hospital. After receiving the transmitted call instruction, the nursing supervision center uses sound and light alarms to notify the nursing staff on duty at the target hospital; The call management unit stores the transmitted call instruction after receiving it. The call management unit periodically analyzes the stored call instruction according to preset analysis steps to generate corresponding conjugate optimization data, and transmits the conjugate optimization data to the second call identification unit. The second call identification unit updates and stores the conjugate identification time of all conjugate parameter combinations stored therein according to the received conjugate optimization data.

2. The nighttime intelligent calling system according to claim 1, characterized in that: It also includes a first call identification unit, in which preset over-limit values ​​of all vital sign parameters are pre-stored. After receiving the transmitted monitoring data of the nursing object based on the vital sign parameters, the first call identification unit extracts the vital sign parameters and monitoring values ​​therein, obtains the preset over-limit values ​​of the vital sign parameters stored in the first call identification unit according to the extracted vital sign parameters, compares the obtained preset over-limit values ​​with the extracted monitoring values, and if the preset over-limit value is greater than the monitoring value, no processing is performed; otherwise, a call instruction is generated according to the received monitoring data.

3. The nighttime intelligent calling system according to claim 1, characterized in that: The number of sign parameters in a conjugate parameter combination is at least two.

4. The nighttime intelligent calling system according to claim 1, characterized in that: The passive call determination rule for the second call identification unit to determine whether the care object is passively called according to a conjugated parameter combination in the current conjugated identification cycle is as follows: S11: marking all the physical sign parameters included in the conjugate parameter combination as A1, A2, ..., Aa, where a≥1; S12: obtaining the difference between the largest monitored value and the smallest monitored value from all monitored values ​​of the vital sign parameter A1 stored in the current conjugate identification cycle, and calibrating the difference as the variation span B1 of the vital sign parameter A1; According to the order of the storage time, the monitoring values ​​of the physical sign parameter A1 stored in two adjacent time periods are subtracted to obtain a plurality of groups of difference values, and the average value of the plurality of groups of difference values ​​is calculated by using the addition and averaging formula, and the average value is calibrated as the difference degree C1 of the physical sign parameter A1; S13: according to S12, respectively calculate and obtain the change span and difference degree of the physical sign parameters A2, A3, ..., Aa; S14: Utilize the formula Calculate and obtain the characteristic call evaluation value D1 of the nursing object in the current conjugate recognition cycle, where ɑ1 and ɑ2 are respectively the preset first and second dimension balance factors, which are used to adjust the variation span and the difference degree. The characteristics of these two different dimensions can be numerically calculated in the same dimension, and βd represents the preset evaluation ratio coefficient of different characteristic parameters; S15: compare D1 and D, if D1≥D, it is determined that the nursing object needs passive calling in the current conjugate identification cycle; Otherwise, it is determined that the care object does not need a passive call in the current conjugate identification cycle, and no processing is performed. The interval duration of the conjugate identification cycle is the conjugate identification duration corresponding to the conjugate parameter combination.

5. The nighttime intelligent calling system according to claim 4, characterized in that: If it is determined in S15 that the care object needs a passive call in the current conjugate identification cycle, a call instruction is generated according to all monitoring values ​​of the vital sign parameters A1, A2, ..., Aa stored in the current conjugate identification cycle and the conjugate parameter combination.

6. The nighttime intelligent calling system according to claim 1, characterized in that: The analysis steps for analyzing and generating the conjugate duration optimization data for the current analysis management cycle are as follows: S21: firstly, a conjugate parameter combination is selected as the combination to be managed, and all call instructions including the combination to be managed are obtained from all call instructions stored in the current analysis management cycle, and all the obtained call instructions are marked as E1, E2, ..., Ee, where e≥1; At the same time, all the physical sign parameters contained in the combination to be managed are obtained and marked as F1, F2, ..., Ff, f≥1 S22: Selecting several node moments of the characteristic parameter F1 according to a preset selection step, the selection step is as follows; S23: Selecting several node moments of characteristic parameters F2, ..., Ff in sequence according to S22; S24: extracting the monitoring value of the vital sign parameter F1 collected first from the call instruction E1 according to the collection order, and taking the collection time of the monitoring value as the analysis start time of the call instruction E1; All node moments of the characteristic parameters F1, F2, ..., Ff are traversed, and a node moment is selected as the analysis termination moment of the call instruction E1, wherein all moments between the analysis start moment and the analysis termination moment meet the preset second screening condition: Wherein, all the moments between the analysis start moment and the analysis end moment contain at least one node moment among the characteristic parameters F1, F2, ..., Ff, and the characteristic parameter corresponding to the analysis end moment contains only one node moment among all the moments between the analysis start moment and the analysis end moment; S25: Obtaining the interval between the analysis start time and the analysis end time, and using the interval as the conjugate display time G1 of the call instruction E1; S26: according to S21 to S25, conjugate display durations G2, G3, ..., Ge of the call instructions E2, E3, ..., Ee are calculated in sequence; S27: Using formula Calculate the deviation H1 of the conjugate appearance duration of the acquired call instructions E1, E2, ..., Ee, and compare H1 with H. At this time, G is the average value of Gg, and H is the preset conjugate appearance duration deviation threshold of the combination to be managed; If H1≥H, then delete the corresponding Gg in descending order of |Gg - G|, and calculate the deviation H1 of the remaining Gg. At this time, compare the magnitudes of H1 and H again until H1 < H, and obtain the average value of the remaining Gg at this time. Take the average value as the conjugate optimization duration of the portfolio to be managed; S28: Select all conjugate parameter combinations as the portfolios to be managed in sequence, calculate and obtain the conjugate optimization durations of all conjugate parameter combinations according to S21 to S27, and generate the conjugate duration optimization data for the current analysis and management period based on the conjugate optimization durations of all conjugate parameter combinations calculated and obtained.

7. The nighttime intelligent calling system according to claim 6, characterized in that: S22. The steps for selecting several node times of the characteristic parameter F1 are as follows: SS11: Extract the monitoring value of the physical sign parameter F1 that was first collected from the call instruction E1 in the order of collection, select the collection time of the monitoring value as the starting time, and starting from the starting time, select a collection time as a node time of the characteristic parameter F1 among the next several times. All the monitoring values of the physical sign parameter F1 collected between the starting time and the node time satisfy the preset first screening condition: The difference between the largest monitoring value and the smallest monitoring value is less than or equal to the difference between the change span of the characteristic parameter F1 and P1, where P1 is the preset change span difference threshold; In the order of collection time, subtract the monitoring values of the physical sign parameter F1 collected within two adjacent times in sequence to obtain several groups of differences, and calculate and obtain the average value of these several groups of differences using the sum and average formula. The difference between the average value and the difference degree of the characteristic parameter F1 is less than or equal to P2, where P2 is the preset difference span difference threshold; If there are several collection times that can be used as node times after passing the preset first screening condition, select the collection time with the shortest interval duration from the starting time as a node time of the characteristic parameter F1 at this time; SS22: Take the collection time of the most recently selected node time as the starting time, and select a node time of the characteristic parameter F1 again according to S22 until there is no collection time that can be used as a node time, and several node times are selected.

8. A method for nighttime intelligent calling, characterized in that: It includes the following steps: Step 1: The physical sign monitoring module monitors several physical sign parameters of the nursing object in the target hospital in real time to obtain the monitoring data of the nursing object based on the corresponding physical sign parameters, and transmits the monitoring data to the first call recognition unit and the second call recognition unit respectively; Step 2: For the monitoring data of each received characteristic parameter, the first call recognition unit extracts the physical sign parameter and the monitoring value therein, obtains the preset over-limit value of the physical sign parameter stored in the first call recognition unit according to the extracted physical sign parameter, compares the obtained preset over-limit value with the extracted monitoring value. If the preset over-limit value is greater than the monitoring value, no processing is performed. Otherwise, a call instruction is generated according to the received monitoring data, and the call instruction is transmitted to the nursing supervision center; The second call identification unit stores the received monitoring data of each characteristic parameter; Step 3: After receiving the transmitted call instruction, the nursing supervision center uses sound and light alarms to notify the nursing staff on duty at the target hospital; Step 4: The second call identification unit periodically determines whether the nursing object is a passive call for all conjugated parameter combinations and standard conjugated combinations according to the preset passive call determination rules, selects and generates a call instruction based on the determination result, and transmits the call instruction to the nursing supervision module and the call management unit respectively; Step 5: After receiving the transmitted call instruction, the call management unit stores it. The call management unit periodically analyzes the stored call instruction according to the preset analysis steps to generate corresponding conjugate optimization data, and transmits the conjugate optimization data to the second call identification unit. The second call identification unit updates and stores the conjugate identification time of all conjugate parameter combinations stored therein according to the received conjugate optimization data.

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