Urine monitoring method and physiological monitoring system

Abstract

The present disclosure relates to a urine monitoring method and a physiological monitoring system. The urine monitoring method is used between a urine monitoring device and a cloud server. The urine monitoring method includes measuring a current weight by the urine monitoring device, transmitting the current weight to the cloud server via a communication interface by the urine monitoring device, and determining whether the current weight is less than a current lower weight limit or greater than a current upper weight limit by the cloud server. If the current weight is less than the current lower weight limit or greater than the current upper weight limit, the cloud server transmits a signal to set the urine monitoring device to a urine volume warning state. The urine monitoring method can monitor the urine bag condition of a patient and determine whether there is an abnormal urine volume state.

Description

Technical Field

[0001] This case relates to a urine monitoring method, and more particularly to a urine monitoring method and physiological monitoring system for use between a urine monitoring device and a cloud server. Background Technology

[0002] Urine output is a crucial indicator for monitoring a patient's recovery; however, currently, urine output is recorded by family members, nurses, or caregivers. Furthermore, even with adequate daily fluid intake, it's essential to monitor the urinary catheter for blockages. If no urine flows from the catheter, and the patient continues to consume 100cc of water per hour for four hours without improvement, the nurse needs to be vigilant. These situations must be confirmed personally by the nurse. Additionally, nurses are generally required to empty the urine bag and record the urine volume before shift change. These tasks place a burden on both nurses and family members. Summary of the Invention

[0003] One embodiment of this disclosure provides a urine monitoring method for communication between a urine monitoring device and a cloud server. The method includes the urine monitoring device measuring real-time weight, the urine monitoring device transmitting the real-time weight to the cloud server via a communication interface, and the cloud server determining whether the real-time weight is less than a current lower weight limit or greater than a current upper weight limit. If the real-time weight is less than the current lower weight limit or greater than the current upper weight limit, the cloud server transmits a signal to set the urine monitoring device to a urine volume warning state.

[0004] In one embodiment, the urine monitoring method includes determining whether the instantaneous weight is greater than or equal to the weight of a full bag by means of a urine monitoring device, and setting the urine monitoring device to a full bag warning state when the instantaneous weight is greater than or equal to the weight of a full bag.

[0005] In one embodiment, the urine monitoring method includes setting the urine monitoring device to normal monitoring state when the instantaneous weight is less than the weight of a full bag.

[0006] In one embodiment, a urine monitoring method, wherein when the urine monitoring device is in a full bag warning state, the urine monitoring method includes: the urine monitoring device continuously monitoring whether the instantaneous weight decreases to less than the full bag weight; when the instantaneous weight does not decrease to less than the full bag weight, maintaining the full bag warning state; and when the instantaneous weight decreases to less than the full bag weight, the urine monitoring device switches to a normal monitoring state.

[0007] In one embodiment, the urine monitoring method includes: a cloud server estimating a predetermined lower limit and a predetermined upper limit of urine output weight based on a start time and a current time; the cloud server calculating a current lower limit of weight based on the predetermined lower limit of urine output weight and the weight of an empty bag; and the cloud server calculating a current upper limit of weight based on the predetermined upper limit of urine output weight and the weight of an empty bag.

[0008] In one embodiment, the urine monitoring method further includes: determining whether the current weight is less than the previous weight by means of a cloud server; when the current weight is less than the previous weight, calculating the discharge difference based on the difference between the current weight and the previous weight; wherein the cloud server calculates the current weight lower limit based on a predetermined lower limit of urine output, the weight of the empty bag, and the discharge difference; and the cloud server calculates the current weight upper limit based on a predetermined upper limit of urine output, the weight of the empty bag, and the discharge difference.

[0009] In one embodiment, a urine monitoring method includes detecting drip monitoring information using a drip monitoring device and transmitting the drip monitoring information to a cloud server. The cloud server calculates the current lower weight limit based on a predetermined lower limit of urine output weight, empty bag weight, discharge difference, and drip monitoring information. The cloud server also calculates the current upper weight limit based on a predetermined upper limit of urine output weight, empty bag weight, discharge difference, and drip monitoring information.

[0010] In one embodiment, a urine monitoring method wherein the total urine weight is calculated by accumulating the difference in output values ​​via a cloud server.

[0011] In one embodiment, the urine monitoring method further includes receiving a mode setting signal via a processor and setting the full bag weight to one of a plurality of full bag weight settings according to the mode setting signal.

[0012] Another embodiment of this disclosure provides a physiological monitoring system, including a cloud server and a urine monitoring device. The urine monitoring device is communicatively connected to the cloud server. The urine monitoring device includes a communication interface, a weighing module, a processor, and an alarm module. The communication interface is used for bidirectional communication with the cloud server. The weighing module measures real-time weight. The processor is electrically connected to the weighing module, which receives the real-time weight and transmits it to the cloud server through the communication interface. The alarm module is electrically connected to the processor and is used to issue an alarm signal. The cloud server determines whether the real-time weight is less than the current lower limit or greater than the current upper limit. If the real-time weight is less than the current lower limit or greater than the current upper limit, the cloud server sends a signal to set the urine monitoring device to a urine volume warning state.

[0013] In one embodiment, the physiological monitoring system includes a processor that determines whether the received instantaneous weight is greater than or equal to the full bag weight. When the instantaneous weight is greater than or equal to the full bag weight, the processor sets the urine monitoring device to a full bag warning state.

[0014] In one embodiment, the physiological monitoring system sets the urine monitoring device to normal monitoring state when the instantaneous weight is less than the weight of a full bag.

[0015] In one embodiment, in a physiological monitoring system, when the urine monitoring device is in a full bag warning state, the processor continuously monitors whether the instantaneous weight has decreased to less than the full bag weight. When the instantaneous weight has not decreased to less than the full bag weight, the processor keeps the urine monitoring device in the full bag warning state. When the instantaneous weight decreases to less than the full bag weight, the processor switches the urine monitoring device to a normal monitoring state.

[0016] In one embodiment, the physiological monitoring system includes a cloud server that estimates a predetermined lower limit and a predetermined upper limit of urine output weight based on the start time and the current time, calculates the current lower limit of weight based on the predetermined lower limit of urine output weight and the weight of the empty bag, and calculates the current upper limit of weight based on the predetermined upper limit of urine output weight and the weight of the empty bag.

[0017] In one embodiment, a physiological monitoring system includes a cloud server that determines whether the current weight is less than the previous weight. When the current weight is less than the previous weight, the cloud server calculates the discharge difference based on the difference between the current weight and the previous weight. The cloud server calculates the current weight lower limit based on a predetermined lower limit of urination weight, the weight of the empty bag, and the discharge difference. The cloud server also calculates the current weight upper limit based on a predetermined upper limit of urination weight, the weight of the empty bag, and the discharge difference.

[0018] In one embodiment, the physiological monitoring system further includes an IV drip monitoring device communicatively connected to a cloud server. The IV drip monitoring device is used to detect IV drip monitoring information and transmit the IV drip monitoring information to the cloud server. The cloud server calculates the current lower weight limit based on a predetermined lower limit of urine output weight, empty bag weight, emptying difference, and the IV drip monitoring information. The cloud server calculates the current upper weight limit based on a predetermined upper limit of urine output weight, empty bag weight, emptying difference, and the IV drip monitoring information.

[0019] In one embodiment, a physiological monitoring system is used, in which a cloud server accumulates the difference in urine output to calculate the total weight of urine excreted.

[0020] In one embodiment, a physiological monitoring system includes a processor that receives a mode setting signal and sets the full bag weight to one of a plurality of full bag weight settings according to the mode setting signal.

[0021] By employing the above technical solution, the present invention has at least the following advantages and effects:

[0022] Hospital nurses can use physiological monitoring systems to better monitor patients' urine bags and determine if there are any abnormalities in urine output or if the bag is full, requiring further care or intervention. A urine monitoring device is attached to the urine bag, which uses a weighing module to measure the bag's real-time weight. This weight is then sent to a cloud server, which calculates a reasonable expected urine output based on the time the bag has been in place. The cloud server compares the real-time weight with the expected urine output and sends information about abnormalities or a full bag to the nurse's electronic device. Therefore, physiological monitoring systems can effectively monitor a patient's physiological state. Attached Figure Description

[0023] Figure 1A This is a schematic diagram of a physiological monitoring system according to an embodiment of the present disclosure.

[0024] Figure 1B This is a schematic diagram of a physiological monitoring system according to an embodiment of the present disclosure.

[0025] Figure 2A This is a flowchart of a urine monitoring method according to an embodiment of the present disclosure.

[0026] Figure 2B This is a flowchart of a urine monitoring method according to an embodiment of the present disclosure.

[0027] [Explanation of Key Component Symbols]

[0028] 100: Physiological monitoring system; 110: Cloud server

[0029] 120: Urine monitoring device; 121: Weight measuring module

[0030] 122: Processor 123: Communication Interface

[0031] 124: Alarm Module 125: Storage Module

[0032] 130: Electronic device; 140: Drip monitoring device

[0033] 200: Urine monitoring method S210: Procedure

[0034] S220: Step S230: Step

[0035] S240: Step S241: Step

[0036] S242: Step S243: Step

[0037] S244: Step S245: Step

[0038] S246: Step S250: Step Detailed Implementation

[0039] To fully understand the description of this disclosure, please refer to the accompanying drawings when reading the following embodiments. Furthermore, many practical details will be mentioned in the specification; however, it should be understood that these practical details should not be construed as limiting the scope of this disclosure. In some embodiments of this disclosure, these practical details are not essential. Additionally, for the purpose of simplifying the drawings, some existing, conventional or customary structures and elements will be illustrated in a simple schematic manner.

[0040] In this document, unless otherwise specified in the text, the words “a” and “the” can refer to one or more. Furthermore, the terms “comprising,” “including,” “having,” and similar terms used herein are used to designate the described features, regions, integers, steps, operations, elements, and / or components, but do not exclude one or more features, regions, integers, steps, operations, elements, components, and / or groups thereof described or additionally described herein. Also, the term “and / or” used hereinafter herein includes any combination of one or more of the listed related items.

[0041] In this document, when an element is described as "connected," "coupled," or "electrically connected" to another element, the element may be directly connected, directly coupled, or directly electrically connected to the other element, or there may be an additional element between the two elements, and the element is indirectly connected, indirectly coupled, or indirectly electrically connected to the other element. However, when an element is described as "directly connected," "directly coupled," or "directly electrically connected" to another element, the two elements should be understood as having no additional element present. Furthermore, when an element is described as "wired" or "communicationally connected" to another element, the element may be indirectly connected to the other element via other elements for wired and / or wireless communication, or an element may be physically connected to another element without needing to be connected via other elements.

[0042] One embodiment of this disclosure presents a physiological monitoring system. Please refer to... Figure 1A . Figure 1AThis is a schematic diagram of a physiological monitoring system 100 according to an embodiment of the present disclosure. The physiological monitoring system 100 includes a cloud server 110, a urine monitoring device 120, and an electronic device 130. The urine monitoring device 120 is communicatively connected to the cloud server 110. The electronic device 130 is communicatively connected to the cloud server 110. The urine monitoring device 120 includes a communication interface 123, a weighing module 121, a processor 122, an alarm module 124, and a storage module 125. The communication interface 123 is used for bidirectional communication with the cloud server 110. The weighing module 121 measures the real-time weight of the urine bag. The processor 122 is electrically connected to the weighing module 121, and receives the real-time weight, transmitting it to the cloud server 110 via the communication interface 123. The alarm module 124 is electrically connected to the processor 122 and is used to issue an alarm signal. The storage module 125 is electrically connected to the processor 122 and is used to store the real-time weight and other information. The cloud server 110 is used to determine whether the real-time weight is less than the current lower limit or greater than the current upper limit. If the real-time weight is less than the current lower limit or greater than the current upper limit, the cloud server 110 transmits a signal to set the urine monitoring device 120 to a urine volume warning state.

[0043] In one embodiment, hospital nurses can use the physiological monitoring system 100 to better monitor the patient's urine bag and determine if there are any abnormal urine outputs or if the urine bag is full, requiring further care or intervention. A urine monitoring device 120 is installed on the urine bag. The urine monitoring device 120 can measure the real-time weight of the patient's urine bag via a weighing module 121. The urine monitoring device 120 then sends the real-time weight to a cloud server 110. The cloud server 110 can calculate a reasonable expected urine output weight based on the time the urine bag has been on the patient. After comparing the real-time weight with the expected urine output weight, the cloud server 110 can send information about abnormal urine outputs or a full urine bag to an electronic device 130 held by the nurse. Therefore, the physiological monitoring system 100 can monitor the patient's physiological state.

[0044] Please see Figure 1B . Figure 1BThis is a schematic diagram of a physiological monitoring system 100 according to an embodiment of the present disclosure. In one embodiment, the physiological monitoring system 100 may further include an infusion monitoring device 140. The infusion monitoring device 140 is communicatively connected to a cloud server 110. The infusion monitoring device 140 is used to detect infusion monitoring information and transmit the infusion monitoring information to the cloud server 110. The cloud server 110 calculates the current lower weight limit based on a predetermined lower limit of urine output, empty bag weight, emptying difference, and the infusion monitoring information. The cloud server 110 calculates the current upper weight limit based on a predetermined upper limit of urine output, empty bag weight, emptying difference, and the infusion monitoring information. In one embodiment, the infusion monitoring information detected by the infusion monitoring device 140 includes information such as the infusion status, including the type of medication being administered and the infusion rate. If the administered medication has a diuretic effect, it will affect the patient's urine output. In this embodiment, the drip monitoring device 140 will send this information to the cloud server 110, which will automatically calculate the patient's expected urine output at a specific time based on the different administered medications.

[0045] The above-described steps and methods for judging abnormal urine volume and full urine bag status in the physiological monitoring system 100 will be described in detail below with reference to the urine monitoring method disclosed herein and through examples.

[0046] Another embodiment of this disclosure provides a urine monitoring method. Please also refer to... Figure 1A as well as Figure 2A . Figure 2AThis is a flowchart of a urine monitoring method 200 according to an embodiment of the present disclosure. The urine monitoring method 200 is used between a urine monitoring device 120 and a cloud server 110. In step S210, the urine monitoring device 120 measures the real-time weight via a weighing module 121 and transmits the real-time weight to the cloud server 110 via a communication interface 123. In step S220, the cloud server 110 estimates a predetermined lower limit and a predetermined upper limit of urine output weight based on the start time and the current time. In step S230, the cloud server 110 calculates the current lower limit of weight based on the predetermined lower limit of urine output weight and the empty bag weight, and calculates the current upper limit of weight based on the predetermined upper limit of urine output weight and the empty bag weight. In one embodiment, the empty bag weight can be the weight of a typical commercially available urine bag, for example, approximately 20 grams; in other words, the empty bag weight is predetermined. In one embodiment, the empty bag weight is stored in a storage module 125. In step S240, the cloud server 110 determines whether the real-time weight is less than the current lower weight limit or greater than the current upper weight limit. Then, if the real-time weight is less than the current lower weight limit or greater than the current upper weight limit, in step S250, in either of these two cases, the cloud server 110 transmits a signal to the urine monitoring device 120 via the communication interface 123, and uses the alarm module 124 to set the urine monitoring device 120 to a urine volume warning state. The urine monitoring device 120 continuously measures the real-time weight and transmits it to the cloud server 110.

[0047] In other words, the urine monitoring method 200 can be used in conjunction with a system such as the physiological monitoring system 100 to estimate a reasonable urine bag weight (i.e., the weight range formed by the aforementioned upper and lower weight limits) based on the elapsed time and the weight of the empty urine bag, and continuously monitor the actual weight of the urine bag (i.e., the aforementioned real-time weight). The expected urine bag weight is then compared with the actual urine bag weight. If an unreasonable weight is detected (both situations fall under the current lower weight limit and the current upper weight limit), the urine bag is set to an alert state. If no unreasonable weight is detected, the urine bag weight is continuously monitored.

[0048] In one embodiment, the urine monitoring method 200 can detect whether urine in the urine bag has been poured out, and adjust the current upper and lower weight limits based on the amount of urine poured out. In this embodiment, the urine monitoring method 200 may further include using a cloud server 110 to determine whether the current weight is less than the previous weight. When the current weight is less than the previous weight (i.e., urine in the urine bag has been poured out), the difference between the current weight and the previous weight is calculated as a pouring difference. Next, the cloud server 110 calculates the current lower weight limit based on a predetermined lower limit for urine output, the weight of the empty bag, and the pouring difference, and calculates the current upper weight limit based on a predetermined upper limit for urine output, the weight of the empty bag, and the pouring difference. The current upper and lower weight limits obtained through this process are adjusted for the amount of urine poured out. Furthermore, in this embodiment, the urine monitoring method 200 can further calculate the total amount of urine poured out of the urine bag. In this embodiment, the urine monitoring method 200 may further include using the cloud server 110 to accumulate the pouring difference to calculate the total urine output weight.

[0049] Please refer to the following at the same time Figure 1B as well as Figure 2A In one embodiment, the urine monitoring method 200 can further adjust the upper and lower limits of the current weight of the urine bag when the patient is receiving an IV drip. In one embodiment, the urine monitoring method 200 may further include detecting IV drip monitoring information via the IV drip monitoring device 140 and transmitting the IV drip monitoring information to the cloud server 110. Then, the cloud server 110 calculates the current lower weight limit based on a predetermined lower limit of urine output, empty bag weight, discharge difference, and IV drip monitoring information, and calculates the current upper weight limit based on a predetermined upper limit of urine output, empty bag weight, discharge difference, and IV drip monitoring information. The current upper and lower weight limits obtained in this process have been adjusted for the situation where the patient is receiving an IV drip. In one embodiment, the drip monitoring information detected by the drip monitoring device 140 includes the drip administration status, such as the type of medication administered and the drip rate. The drip monitoring device 140 then sends this information to the cloud server 110, which automatically calculates the patient's expected urine output at a specific time based on the different medications administered.

[0050] Please refer to the following at the same time Figure 1A , Figure 2A as well as Figure 2B . Figure 2BThis is a flowchart of a urine monitoring method 200 according to an embodiment of the present disclosure. In one embodiment, the urine monitoring method 200 can monitor whether the actual urine volume is unreasonable compared to the estimated urine volume, and can also detect whether the urine bag is full. When the bag is full, an alarm is issued and the fullness is monitored to see if it is cleared. The amount of urine poured out is recorded and further transmitted to the cloud server 110 to calculate the current weight upper and lower limits. In this embodiment, the urine monitoring method 200 further includes steps S261, S262, S263, S264, S265, and S266. As shown in Figure 2A, after calculating the current weight upper and lower limits in step S230, the urine monitoring method 200 determines in step S240 whether the current weight is less than the current weight lower limit or greater than the current weight upper limit. In one embodiment, as shown in Figure 2B, after step S230, the urine monitoring method 200 may execute steps S240 and subsequent steps (such as step S250 in Figure 2A, not shown in Figure 2B), as well as steps S261, S262, S263, S264, S265, and S266. There is no restriction on the order of steps S240 and S261, S262, S263, S264, S265, and S266. Furthermore, it should be noted that this disclosure should not be construed as limiting steps S261, S262, S263, S264, S265, and S266 to occur after step S230. For example, the determination of whether the urine monitoring device is full in steps S261, S262, S263, S264, S265, and S266 can also occur after the immediate weight is measured in step S210. The order and details of the various steps included in the urine monitoring method 200 may be modified according to the actual needs of those skilled in the art, and such modifications should be understood as being disclosed in this disclosure.

[0051] In step S261, it is determined whether the instantaneous weight is greater than or equal to the full bag weight. In one embodiment, the full bag weight can be set according to different capacities of urine bags available on the market; for example, the full bag weight of a 500 ml urine bag can be set to 450 ml. When the instantaneous weight is greater than or equal to the full bag weight, in step S262, the urine monitoring device 120 is set to a full bag warning state. When the instantaneous weight is less than the full bag weight, in step S243, the urine monitoring device 120 is set to a normal monitoring state.

[0052] In this embodiment, when the urine monitoring device 120 is in a full bag warning state, the urine monitoring method 200 may further include steps S264, S265, and S266. In step S264, the urine monitoring device 120 continuously monitors whether the instantaneous weight has decreased to less than the full bag weight. When the instantaneous weight has not decreased to less than the full bag weight, in step S265, the full bag warning state is maintained. When the instantaneous weight decreases to less than the full bag weight, in step S266, the urine monitoring device 120 deactivates the full bag warning state and switches to normal monitoring state. It should be noted that, as described in the aforementioned embodiment, the urine monitoring method 200 can detect whether urine in the urine bag has been poured out, and calculate the pouring difference value based on the difference between the instantaneous weight and the previous weight. The cloud server 110 then adjusts the current upper and lower weight limits based on the pouring difference value. Therefore, in steps S264, S265, and S266, any instance of urine being poured out will be recorded. The urine monitoring device 120 will send the immediate weight before and after pouring out to the cloud server 110 via the communication interface 123. The cloud server 110 will then subtract the immediate weight before and after pouring out to obtain the pouring difference, and use the pouring difference to calculate the current upper and lower weight limits. In one embodiment, Figure 2A In addition to pre-setting the upper and lower limits of the urine weight and the weight of the empty bag, step S230 also considers the difference in the amount poured out to calculate the current upper and lower limits of the weight.

[0053] In one embodiment, the urine monitoring method 200 can also adjust the full bag weight to accommodate urine bags of different capacities. In this embodiment, the urine monitoring method 200 further includes receiving a mode setting signal via the processor 122 and setting the full bag weight to one of multiple full bag weight settings based on the mode setting signal. In practice, the urine monitoring device 120 may include an input interface for allowing the user to set an appropriate full bag weight according to the capacity of the urine bag used, or the full bag weight setting can be completed by issuing commands through the communication connection between the electronic device 130 and the cloud server 110, and the communication connection between the cloud server 110 and the urine monitoring device 120.

[0054] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes, and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A urine monitoring method, characterized in that, This urine monitoring method, used between a urine monitoring device and a cloud server, includes: The urine monitoring device measures real-time weight and transmits the real-time weight to a cloud server via a communication interface; The device detects intravenous drip monitoring information and transmits it to the cloud server. The cloud server estimates the lower limit and upper limit of the planned urine output weight based on the start time and the current time. The cloud server determines whether the current weight is less than the previous weight. If the current weight is less than the previous weight, the difference is calculated based on the difference between the current weight and the previous weight. The cloud server calculates the current lower limit of weight based on the predetermined lower limit of urine output, the weight of the empty bag, the difference in output, and the drip monitoring information. The cloud server calculates the current weight limit based on the predetermined upper limit of urine output, the weight of the empty bag, the difference in output, and the drip monitoring information; as well as The cloud server determines whether the real-time weight is less than the current weight lower limit or greater than the current weight upper limit. If the instantaneous weight is less than the current lower limit or greater than the current upper limit, the cloud server transmits a signal to set the urine monitoring device to a urine volume warning state.

2. The urine monitoring method according to claim 1, characterized in that, Include: The urine monitoring device determines whether the instantaneous weight is greater than or equal to the weight of a full bag. If the instantaneous weight is greater than or equal to the weight of a full bag, the urine monitoring device is set to a full bag warning state.

3. The urine monitoring method according to claim 2, characterized in that, Include: When the instantaneous weight is less than the full weight of the bag, the urine monitoring device is set to normal monitoring mode.

4. The urine monitoring method according to claim 2, characterized in that, When the urine monitoring device is in the full bag warning state, the urine monitoring method includes: The urine monitoring device continuously monitors whether the real-time weight decreases to less than the full weight of the bag; The full bag warning status remains in effect until the immediate weight decreases to less than the full bag weight. as well as When the instantaneous weight decreases to less than the full weight of the bag, the urine monitoring device switches to normal monitoring mode.

5. The urine monitoring method according to claim 1, characterized in that, in, The total weight of urine is calculated by accumulating the difference in urine output using the cloud server.

6. The urine monitoring method according to claim 2, characterized in that, Also includes: The processor receives a mode setting signal and sets the full bag weight to one of a plurality of full bag weights according to the mode setting signal.

7. The urine monitoring method according to claim 1, characterized in that, The drip monitoring device includes information on the type of medication administered and the drip rate. The cloud server automatically calculates the patient's expected urine output at a specific time based on the different medications administered.

8. A physiological monitoring system, characterized in that, Include: Cloud server; A drip monitoring device, communicatively connected to the cloud server, is used to detect drip monitoring information and transmit that information to the cloud server; and The urine monitoring device, which communicates with the cloud server, includes: A communication interface for bidirectional communication with the cloud server; The weighing module measures real-time weight. The processor is electrically connected to the weighing module, which receives the real-time weight and transmits it to the cloud server through the communication interface. as well as An alarm module, electrically connected to the processor, is used to issue alarm signals; The cloud server estimates the lower and upper limits of the planned urine output weight based on the start time and the current time. The cloud server determines whether the current weight is less than the previous weight. If the current weight is less than the previous weight, the cloud server calculates the difference between the current weight and the previous weight. The cloud server calculates the current lower limit of weight based on the predetermined lower limit of urine output, the weight of the empty bag, the difference in output, and the drip monitoring information. The cloud server calculates the current weight limit based on the predetermined upper limit of urine output, the weight of the empty bag, the difference in urine output, and the drip monitoring information. The cloud server is used to determine whether the real-time weight is less than the current weight lower limit or greater than the current weight upper limit. If the instantaneous weight is less than the current lower limit or greater than the current upper limit, the cloud server sends a signal to set the urine monitoring device to a urine volume warning state.

9. The physiological monitoring system according to claim 8, characterized in that, The processor determines whether the received instantaneous weight is greater than or equal to the full bag weight. If the instantaneous weight is greater than or equal to the full bag weight, the processor sets the urine monitoring device to a full bag warning state.

10. The physiological monitoring system according to claim 9, characterized in that, When the instantaneous weight is less than the full bag weight, the processor sets the urine monitoring device to normal monitoring mode.

11. The physiological monitoring system according to claim 9, characterized in that, When the urine monitoring device is in the full bag warning state, the processor continuously monitors whether the real-time weight has decreased to less than the full bag weight. If the instantaneous weight does not decrease to less than the full bag weight, the processor will keep the urine monitoring device in the full bag warning state. When the instantaneous weight decreases to less than the full weight of the bag, the processor switches the urine monitoring device to normal monitoring mode.

12. The physiological monitoring system according to claim 8, characterized in that, The cloud server accumulates the difference in urine output to calculate the total weight of urine.

13. The physiological monitoring system according to claim 9, characterized in that, The processor receives a mode setting signal and sets the full bag weight to one of multiple full bag weights based on the mode setting signal.

14. The physiological monitoring system according to claim 8, characterized in that, The drip monitoring device includes information on the type of medication administered and the drip rate. The cloud server automatically calculates the patient's expected urine output at a specific time based on the different medications administered.

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