Anorectal ward monitoring system based on Internet of Things

Abstract

The invention discloses an anorectal ward monitoring system based on the Internet of Things, and relates to the technical field of intelligent monitoring, the anorectal ward monitoring system comprises an acquisition module, an analysis module, an early warning module and a query module, first disease development information is judged through emotion information of a patient, and related information of the patient is compared with an electronic fence; obtaining a first comparison result and sending out an illness state early warning signal; obtaining an environment early warning signal according to the second comparison result; sending out a physical sign early warning signal according to the third comparison result; updating the illness state early warning signal according to the inspection result; through real-time monitoring and early warning of the emotion and disease development of the patient, the comfort of the patient can be improved, the system can quickly respond and effectively deal with various emergency situations, a personalized treatment scheme is more accurately formulated, the treatment success rate and the patient rehabilitation speed are improved, the system achieves high automation, and the system is suitable for popularization and application. And the overall cost of medical services is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent monitoring, and particularly to a monitoring system for anorectal wards based on the Internet of Things. Background Art

[0002] In recent years, with the continuous progress of Internet of Things technology, ward monitoring systems have become more and more intelligent and automated. Sensors and devices can monitor patients' physiological parameters, environmental conditions, and device status in real time. Through data analysis and algorithm processing, real-time monitoring, early warning, and feedback are provided.

[0003] Currently, in the Chinese invention patent with the publication number CN 116433537 B, a smart ward monitoring system based on the Internet of Things and cloud computing is disclosed. This method obtains the white point channel value by accurately identifying non-noise points, and the effect of image enhancement is better according to the white point channel value, thereby obtaining a clear real-time enhanced video. However, in the related technology, patients are not monitored, lacking pertinence, and not analyzing various parameters, lacking the comprehensiveness of data analysis. Summary of the Invention

[0004] The technical problem solved by the present invention is that in the related technology, patients are not monitored, lacking pertinence, not analyzing various parameters, and lacking the comprehensiveness of data analysis.

[0005] To solve the above technical problems, the present invention provides the following technical solutions: A monitoring system for anorectal wards based on the Internet of Things, including a collection module, an analysis module, an early warning module, and a query module;

[0006] The collection module is used to collect ward environmental information and patient-related information;

[0007] The analysis module preprocesses the patient-related information, extracts the features of the preprocessed patient-related information, matches the features of the preprocessed patient-related information with the facial expression database to obtain the patient's emotional information, judges the first disease development information through the patient's emotional information, transmits the first disease development information to the early warning module, sets an electronic fence for the medicine pickup area, compares the patient-related information with the electronic fence to obtain a first comparison result, and transmits the first comparison result to the query module;

[0008] The warning module issues a disease warning signal according to the first disease development information, sets the thresholds of ward environment information and patient-related information, compares the ward environment information with the threshold of the ward environment information to obtain a second comparison result, issues an environment warning signal according to the second comparison result, compares the patient-related information with the threshold of the patient-related information to obtain a third comparison result, issues a physical sign warning signal according to the third comparison result, verifies the warning result according to the patient-related information to obtain a verification result, updates the disease warning signal according to the verification result, and transmits the updated disease warning signal to the query module;

[0009] The query module matches the corresponding ward information according to the medical staff account information, updates the ward information in real time according to the permissions of the medical staff account, regulates the ward environment information according to the environment warning signal, and schedules the medical staff according to the physical sign warning signal.

[0010] As a preferred solution of the Internet of Things-based anorectal ward monitoring system described in the present invention, wherein: the patient-related information includes patient vital sign information, patient test information, patient facial image information and patient location information, the ward environment information includes temperature and humidity, the vital sign information includes body temperature, pulse frequency, respiratory frequency and defecation frequency, and the patient test information includes white blood cell concentration and platelet concentration;

[0011] The acquisition module transmits the ward environment information and patient vital sign information to the warning module, and transmits the patient test information, patient facial image and patient location to the analysis module.

[0012] As a preferred solution of the Internet of Things-based anorectal ward monitoring system described in the present invention, wherein: the patient-related information includes patient vital sign information, patient test information, patient facial image information and patient location information, the ward environment information includes temperature and humidity, the vital sign information includes body temperature, pulse frequency, respiratory frequency and defecation frequency, and the patient test information includes white blood cell concentration and platelet concentration;

[0013] The acquisition module transmits the ward environment information and patient vital sign information to the warning module, and transmits the patient test information, patient facial image and patient location to the analysis module.

[0014] As a preferred solution of the Internet of Things-based anorectal ward monitoring system described in the present invention, wherein: the analysis module preprocesses the patient facial image information, the preprocessing includes filtering processing and normalization processing, and standardizes the size of the patient facial image information between 0 and 1;

[0015] Receive the first trigger condition, identify the first trigger condition, obtain the first recognition result, and record the data information corresponding to the first recognition result. Receive the second trigger condition, identify the second trigger condition, obtain the second recognition result, and retrieve the data information corresponding to the first recognition result based on the second recognition result.

[0016] The first trigger condition includes a button click signal, a touch screen signal, or a voice signal. The second trigger condition is that the features of the preprocessed patient's facial information match the facial expression database. The data information corresponding to the first recognition result is to call the facial expression database. Retrieving the data information corresponding to the first recognition result based on the second recognition result is to obtain the emotional information with the highest similarity to the patient's facial image information according to the facial expression database match.

[0017] As a preferred solution of the Internet of Things-based anorectal ward monitoring system of the present invention, wherein: the analysis module determines the first disease development information based on the patient's emotional information;

[0018] The judgment logic of the first disease development information is: obtain the emotional information. When the emotional information is calm and happy, set the first disease development information to good; otherwise, set the first disease development information to deteriorated.

[0019] The analysis module sets an electronic fence for the medicine collection area, obtains the patient's location, compares the patient's location with the electronic fence to obtain the first comparison result. The first comparison result is whether the patient has reached or not, transmits the first comparison result to the query module, and transmits the first disease development information to the warning module.

[0020] As a preferred solution of the Internet of Things-based anorectal ward monitoring system of the present invention, wherein: the generation logic of the electronic fence for the medicine collection area is: obtain the floor plan, divide the edge information of the medicine collection area, and set the electronic fence according to the edge information of the medicine collection area.

[0021] As a preferred solution of the Internet of Things-based anorectal ward monitoring system of the present invention, wherein: the warning module respectively sets a first threshold for ward environment information, a second threshold for ward environment information, a third threshold for patient-related information, and a fourth threshold for patient-related information. The ward environment thresholds include a first temperature threshold, a second temperature threshold, a first humidity threshold, and a second humidity threshold. The patient-related information thresholds include a third body temperature threshold, a fourth body temperature threshold, a third pulse frequency threshold, a fourth pulse frequency threshold, a third respiratory rate threshold, a fourth respiratory rate threshold, a third defecation frequency threshold, and a fourth defecation frequency threshold;

[0022] Compare the ward environment information with the ward environment information threshold to obtain a second comparison result. According to the second comparison result, issue an environmental warning signal. Compare the patient's vital sign information with the patient's vital sign information threshold to obtain a third comparison result. According to the third comparison result, issue a sign warning signal.

[0023] As a preferred solution of the Internet of Things-based anorectal ward monitoring system described in the present invention, wherein: when the second comparison result is that the ward environment information is greater than the first threshold of the ward environment information, the environmental warning signal is that the ward environment information is too high; when the second comparison result is that the ward environment information is less than the second threshold of the ward environment information, the environmental warning signal is that the ward environment information is too low;

[0024] When the third comparison result is that the patient-related information is greater than the third threshold of the patient-related information, the sign warning signal is that the patient-related information is too high; when the third comparison result is that the patient-related information is less than the fourth threshold of the patient-related information, the sign warning signal is that the patient-related information is too low.

[0025] As a preferred solution of the Internet of Things-based anorectal ward monitoring system described in the present invention, wherein: the patient's laboratory test information includes the third threshold of white blood cell concentration, the fourth threshold of white blood cell concentration, the third threshold of platelet concentration, and the fourth threshold of platelet concentration;

[0026] Call the case database to obtain the historical laboratory test information of the patient's disease. Compare the patient's laboratory test information with the historical laboratory test information of the patient's disease to obtain the second disease development information, and update the disease warning signal based on the second disease development information.

[0027] As a preferred solution of the Internet of Things-based anorectal ward monitoring system described in the present invention, wherein: the update logic of the disease warning signal is: when the disease warning signal is good and the second disease development information is deteriorating, update the disease warning signal to deteriorating;

[0028] When the disease warning signal is deteriorating, and the second disease development information is deteriorating and the second disease development information is good, update the disease warning signal to good;

[0029] The warning module transmits the updated disease warning signal to the query module.

[0030] As a preferred solution of the Internet of Things-based anorectal ward monitoring system described in the present invention, wherein: the usage logic of the query module is: medical staff input medical staff account information in the platform, match the corresponding ward information according to the medical staff account information, view and update the ward information according to the permissions of the medical staff account information. When the first comparison result is not expired, the medical staff delivers the medicine to the patient;

[0031] Medical staff adjusts the ward environment information according to the environmental warning signal until the ward environment information is distributed between the first threshold and the second threshold of the ward environment information. Medical staff is scheduled according to the sign warning signal, and the calculation expression of the scheduling is as follows:

[0032] y = 2 n

[0033] Where y is the number of medical staff and n is the number of sign warning signals.

[0034] Advantages of the present invention: Through the analysis module for data preprocessing and feature extraction, the real-time monitoring and warning of the patient's emotion and disease development are realized, which is beneficial for medical staff to detect the change of the disease or emotional fluctuation earlier, take necessary medical measures and psychological interventions in time, improve the comfort of the patient. When the disease changes or the environment is abnormal, the system can react quickly, provide necessary warnings and guidance, which is beneficial for medical staff to take actions in time and effectively respond to various emergencies. According to the real-time data and analysis results provided by the system, a personalized treatment plan can be formulated more accurately, the treatment success rate and the patient's recovery speed can be improved, and more comprehensive and detailed care and support can be provided, thus enhancing the trust and satisfaction of patients and their families in the hospital. The system realizes high automation, improves the utilization efficiency and management effect of hospital resources, reduces the overall cost of medical services, not only can improve the management efficiency and service quality of the anorectal ward, but also can improve the treatment experience and medical results of patients. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 It is a schematic diagram of the basic process of the anorectal ward monitoring system based on the Internet of Things provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0036] In order to make the above objects, features and advantages of the present invention more obvious and understandable, the following detailed description of the specific embodiments of the present invention will be made with reference to the accompanying drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all embodiments.

[0037] Embodiment 1, referring to Figure 1 , which is an embodiment of the present invention, provides an anorectal ward monitoring system based on the Internet of Things, including a collection module, an analysis module, a warning module and a query module;

[0038] The collection module is used to collect ward environment information and patient-related information;

[0039] The analysis module preprocesses the patient-related information, extracts the features of the preprocessed patient-related information, matches the features of the preprocessed patient-related information with the facial expression database to obtain the patient's emotional information, determines the first disease development information based on the patient's emotional information, transmits the first disease development information to the warning module, sets up an electronic fence for the medication pickup area, compares the patient-related information with the electronic fence to obtain a first comparison result, and transmits the first comparison result to the query module;

[0040] The warning module issues a disease warning signal based on the first disease development information, sets thresholds for the ward environment information and the patient-related information, compares the ward environment information with the threshold of the ward environment information to obtain a second comparison result, issues an environment warning signal based on the second comparison result, compares the patient-related information with the threshold of the patient-related information to obtain a third comparison result, issues a physical sign warning signal based on the third comparison result, verifies the warning result based on the patient-related information to obtain a verification result, updates the disease warning signal based on the verification result, and transmits the updated disease warning signal to the query module;

[0041] The query module matches the corresponding ward information according to the medical staff account information, updates the ward information in real time according to the permissions of the medical staff account, adjusts the ward environment information according to the environment warning signal, and schedules the medical staff according to the physical sign warning signal.

[0042] Through data preprocessing and feature extraction by the analysis module, the present invention realizes real-time monitoring and warning of the patient's emotions and disease development, which is beneficial for medical staff to detect disease changes or emotional fluctuations earlier, take necessary medical measures and psychological interventions in time, improve the patient's comfort. When the disease condition changes or the environment is abnormal, the system can react quickly, provide necessary warnings and guidance, which is beneficial for medical staff to take actions in time and effectively respond to various emergencies. According to the real-time data and analysis results provided by the system, a more accurate personalized treatment plan can be formulated, the treatment success rate and the patient's recovery speed can be improved, and more comprehensive and detailed care and support can be provided, thereby enhancing the trust and satisfaction of patients and their families in the hospital. The system realizes high automation, improves the utilization efficiency and management effect of hospital resources, reduces the overall cost of medical services, and can not only improve the management efficiency and service quality of the anorectal ward, but also improve the patient's treatment experience and medical results.

[0043] The patient-related information includes the patient's vital sign information, patient's laboratory test information, patient's facial image information, and patient's location information. The ward environment information includes temperature and humidity. The vital sign information includes body temperature, pulse rate, respiratory rate, and defecation frequency. The patient's laboratory test information includes white blood cell concentration and platelet concentration;

[0044] The acquisition module transmits ward environment information and patient vital sign information to the warning module, and transmits patient laboratory information, patient facial images, and patient locations to the analysis module.

[0045] In specific implementation, according to the real-time data and analysis results provided by the system, a personalized treatment plan is formulated more accurately, the treatment success rate and the patient's recovery speed are improved, and more comprehensive and meticulous care and support are provided, thereby enhancing the trust and satisfaction of patients and their families in the hospital.

[0046] The analysis module preprocesses the patient facial image information. The preprocessing includes filtering and normalization, and standardizes the size of the patient facial image information between 0 and 1.

[0047] Receive the first trigger condition, identify the first trigger condition, obtain the first identification result, and record the data information corresponding to the first identification result. Receive the second trigger condition, identify the second trigger condition, obtain the second identification result, and retrieve the data information corresponding to the first identification result based on the second identification result.

[0048] The first trigger condition includes a button click signal, a touch screen signal, or a voice signal. The second trigger condition is that the features of the preprocessed patient facial information match the facial expression database. The data information corresponding to the first identification result is to call the facial expression database. Retrieving the data information corresponding to the first identification result based on the second identification result is to obtain the emotional information with the highest similarity to the patient facial image information according to the facial expression database match.

[0049] In specific implementation, normalizing the patient facial image information is beneficial for subsequent feature extraction of the image.

[0050] The analysis module judges the first disease development information through the patient's emotional information.

[0051] The judgment logic of the first disease development information is: obtain the emotional information. When the emotional information is calm and happy, set the first disease development information to good; otherwise, set the first disease development information to deteriorated.

[0052] The analysis module sets an electronic fence for the medicine collection area, obtains the patient's location, compares the patient's location with the electronic fence to obtain the first comparison result. The first comparison result is whether the patient has reached or not, and transmits the first comparison result to the query module and the first disease development information to the warning module.

[0053] The generation logic of the electronic fence for the medicine collection area is: obtain the floor plan, divide the edge information of the medicine collection area, and set the electronic fence according to the edge information of the medicine collection area.

[0054] Data preprocessing and feature extraction are carried out through an analysis module to achieve real-time monitoring and early warning of patients' emotions and disease development, which is conducive to medical staff discovering changes in the condition or emotional fluctuations earlier, taking necessary medical measures and psychological interventions in a timely manner, and improving the comfort of patients.

[0055] The early warning module respectively sets a first threshold for ward environment information, a second threshold for ward environment information, a third threshold for patient-related information, and a fourth threshold for patient-related information. The ward environment thresholds include a first temperature threshold, a second temperature threshold, a first humidity threshold, and a second humidity threshold. The patient-related information thresholds include a third body temperature threshold, a fourth body temperature threshold, a third pulse frequency threshold, a fourth pulse frequency threshold, a third respiratory rate threshold, a fourth respiratory rate threshold, a third defecation frequency threshold, and a fourth defecation frequency threshold;

[0056] Compare the ward environment information with the ward environment information thresholds to obtain a second comparison result. According to the second comparison result, an environment early warning signal is issued. Compare the patient's vital sign information with the patient's vital sign information thresholds to obtain a third comparison result. According to the third comparison result, a sign early warning signal is issued.

[0057] When the second comparison result is that the ward environment information is greater than the first threshold of the ward environment information, the environment early warning signal is that the ward environment information is too high. When the second comparison result is that the ward environment information is less than the second threshold of the ward environment information, the environment early warning signal is that the ward environment information is too low;

[0058] When the third comparison result is that the patient-related information is greater than the third threshold of the patient-related information, the sign early warning signal is that the patient-related information is too high. When the third comparison result is that the patient-related information is less than the fourth threshold of the patient-related information, the sign early warning signal is that the patient-related information is too low.

[0059] In specific implementation, when the condition changes or the environment is abnormal, the system can react quickly, provide necessary warnings and guidance, which is conducive to medical staff taking actions in a timely manner and effectively dealing with various emergencies.

[0060] The patient's laboratory test information includes a third white blood cell concentration threshold, a fourth white blood cell concentration threshold, a third platelet concentration threshold, and a fourth platelet concentration threshold;

[0061] Call the case database to obtain the historical laboratory test information of the patient's disease. Compare the patient's laboratory test information with the historical laboratory test information of the patient's disease to obtain second disease development information, and update the disease early warning signal based on the second disease development information.

[0062] The update logic of the disease warning signal is as follows: when the disease warning signal is good and the second disease development information is deteriorating, update the disease warning signal to deteriorating;

[0063] When the disease warning signal is deteriorating, and the second disease development information is deteriorating and the second disease development information is good, update the disease warning signal to good;

[0064] The warning module transmits the updated disease warning signal to the query module.

[0065] In specific implementation, according to the real-time data and analysis results provided by the system, formulate a more accurate personalized treatment plan, improve the treatment success rate and the patient's recovery speed, provide more comprehensive and meticulous care and support, thereby enhancing the trust and satisfaction of patients and their families in the hospital.

[0066] The usage logic of the query module is as follows: medical staff input medical staff account information in the platform, match the corresponding ward information according to the medical staff account information, access and update the ward information according to the permissions of the medical staff account information. When the first comparison result is not overdue, the medical staff delivers the medicine to the patient;

[0067] Medical staff adjusts the ward environment information according to the environmental warning signal until the ward environment information is distributed between the first threshold value and the second threshold value of the ward environment information. Medical staff schedules according to the physical sign warning signal, and the calculation expression for scheduling is:

[0068] y = 2 n

[0069] Where y is the number of medical staff and n is the number of physical sign warning signals.

[0070] Through the analysis module, the present invention performs data preprocessing and feature extraction, thereby realizing real-time monitoring and warning of the patient's emotion and disease development, which is beneficial for medical staff to discover disease changes or emotional fluctuations earlier, take necessary medical measures and psychological interventions in time, improve the patient's comfort. When the disease condition changes or the environment is abnormal, the system can react quickly, provide necessary warnings and guidance, which is beneficial for medical staff to take actions in time and effectively respond to various emergencies. According to the real-time data and analysis results provided by the system, formulate a more accurate personalized treatment plan, improve the treatment success rate and the patient's recovery speed, provide more comprehensive and meticulous care and support, thereby enhancing the trust and satisfaction of patients and their families in the hospital. The system realizes high automation, improves the utilization efficiency and management effect of hospital resources, reduces the overall cost of medical services, and can not only improve the management efficiency and service quality of the anorectal ward, but also improve the patient's treatment experience and medical results.

[0071] Those skilled in the art should understand that the embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program code. Among them, the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disks, or optical disks. These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured article including an instruction device, and the instruction device implements the functions specified in one process Figure 1 one process or multiple processes and / or Figure 1 the functions specified in one block or multiple blocks.

[0072] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered by the scope of the claims of the present invention.

Claims

1. Anorectal ward monitoring system based on the Internet of Things, characterized by: It includes collection module, analysis module, warning module and query module; The acquisition module is used to collect ward environment information and patient related information; The analysis module preprocesses the patient-related information, extracts features of the preprocessed patient-related information, matches the features of the preprocessed patient-related information with the facial expression database, obtains the patient's emotional information, determines the first disease progression information based on the patient's emotional information, transmits the first disease progression information to the early warning module, sets an electronic fence for the medication collection area, compares the patient-related information with the electronic fence, obtains a first comparison result, and transmits the first comparison result to the query module; The early warning module issues a condition early warning signal according to the first condition development information, sets a threshold value of the ward environment information and a threshold value of the patient-related information, compares the ward environment information with the threshold value of the ward environment information to obtain a second comparison result, issues an environment early warning signal according to the second comparison result, compares the patient-related information with the threshold value of the patient-related information to obtain a third comparison result, issues a physical sign early warning signal according to the third comparison result, tests the early warning result according to the patient-related information to obtain a test result, updates the condition early warning signal according to the test result, and transmits the updated condition early warning signal to the query module; The query module matches the corresponding ward information according to the medical account information, updates the ward information in real time according to the authority of the medical account, regulates the ward environment information according to the environmental warning signal, and dispatches medical care according to the vital sign warning signal.

2. The anorectal ward monitoring system based on the Internet of Things as claimed in claim 1, characterized in that: The patient-related information includes patient vital signs information, patient laboratory information, patient facial image information and patient location information; the ward environment information includes temperature and humidity; the vital signs information includes body temperature, pulse rate, respiratory rate and bowel movement frequency; the patient laboratory information includes white blood cell concentration and platelet concentration; The acquisition module transmits the ward environment information and the patient's vital signs information to the early warning module, and transmits the patient's test information, the patient's facial image and the patient's position to the analysis module.

3. The anorectal ward monitoring system based on the Internet of Things as claimed in claim 2, characterized in that: The analysis module preprocesses the patient's facial image information, wherein the preprocessing includes filtering and normalization, and the size of the patient's facial image information is standardized between 0 and 1; receiving a first trigger condition, identifying the first trigger condition, obtaining a first recognition result, and recording data information corresponding to the first recognition result, receiving a second trigger condition, identifying the second trigger condition, obtaining a second recognition result, and retrieving the data information corresponding to the first recognition result based on the second recognition result; The first trigger condition includes a button click signal, a touch screen signal or a voice signal, the second trigger condition is that the features of the preprocessed patient's facial information are matched with the facial expression database, the data information corresponding to the first recognition result is a call to the facial expression database, and the data information corresponding to the first recognition result is retrieved based on the second recognition result, which is the emotional information with the highest similarity to the patient's facial image information matched according to the facial expression database.

4. The anorectal ward monitoring system based on the Internet of Things as claimed in claim 3, characterized in that: The analysis module determines the first disease progression information based on the patient's emotional information; The judgment logic of the first disease progression information is: obtaining emotional information, and when the emotional information is calm and happy, setting the first disease progression information to good; otherwise, setting the first disease progression information to deteriorate; The analysis module sets an electronic fence for the medicine collection area, obtains the patient's location, compares the patient's location with the electronic fence, and obtains a first comparison result, wherein the first comparison result is whether the patient has arrived or not, and transmits the first comparison result to the query module, and transmits the first disease progression information to the early warning module.

5. The anorectal ward monitoring system based on the Internet of Things as claimed in claim 4, characterized in that: The generation logic of the electronic fence of the medicine picking area is: obtaining a floor plan, dividing the edge information of the medicine picking area, and setting the electronic fence according to the edge information of the medicine picking area.

6. The anorectal ward monitoring system based on the Internet of Things as claimed in claim 4, characterized in that: The early warning module sets a first threshold value of ward environment information, a second threshold value of ward environment information, a third threshold value of patient-related information and a fourth threshold value of patient-related information respectively, the ward environment threshold value includes a first temperature threshold value, a second temperature threshold value, a first humidity threshold value and a second humidity threshold value, the patient-related information threshold value includes a third body temperature threshold value, a fourth body temperature threshold value, a third pulse frequency threshold value, a fourth pulse frequency threshold value, a third respiratory frequency threshold value, a fourth respiratory frequency threshold value, a third defecation frequency threshold value and a fourth defecation frequency threshold value; Compare the ward environment information with the ward environment information threshold to obtain a second comparison result, and issue an environmental warning signal based on the second comparison result; compare the patient's vital signs information with the patient's vital signs information threshold to obtain a third comparison result, and issue a vital signs warning signal based on the third comparison result.

7. The anorectal ward monitoring system based on the Internet of Things as claimed in claim 6, characterized in that: When the second comparison result is that the ward environment information is greater than the first threshold value of the ward environment information, the environment warning signal is that the ward environment information is too high; when the second comparison result is that the ward environment information is less than the second threshold value of the ward environment information, the environment warning signal is that the ward environment information is too low; When the third comparison result is that the patient-related information is greater than the third threshold of the patient-related information, the vital sign warning signal is that the patient-related information is too high; when the third comparison result is that the patient-related information is less than the fourth threshold of the patient-related information, the vital sign warning signal is that the patient-related information is too low.

8. The anorectal ward monitoring system based on the Internet of Things as claimed in claim 2, characterized in that: The patient test information includes a third threshold value of white blood cell concentration, a fourth threshold value of white blood cell concentration, a third threshold value of platelet concentration, and a fourth threshold value of platelet concentration; The case database is called to obtain historical laboratory information of the patient's symptoms, the patient's laboratory information is compared with the historical laboratory information of the patient's symptoms to obtain second disease progression information, and the disease warning signal is updated based on the second disease progression information.

9. The anorectal ward monitoring system based on the Internet of Things as claimed in claim 8, characterized in that: The updating logic of the condition warning signal is: when the condition warning signal is good and the second condition development information is deterioration, the condition warning signal is updated to deterioration; When the condition warning signal is deteriorating, and the second condition development information is deteriorating, and the second condition development information is good, updating the condition warning signal to good; The early warning module transmits the updated disease warning signal to the query module.

10. The anorectal ward monitoring system based on the Internet of Things as claimed in claim 9, characterized in that: The usage logic of the query module is: the medical staff enters the medical account information in the platform, matches the corresponding ward information according to the medical account information, and checks and updates the ward information according to the authority of the medical account information. When the first comparison result is that the medicine has not arrived, the medical staff delivers the medicine to the patient; The medical staff regulate the ward environment information according to the environmental warning signal until the ward environment information is distributed between the first threshold value of the ward environment information and the second threshold value of the ward environment information. The medical staff dispatch the medical staff according to the vital sign warning signal. The calculation expression of the dispatch is: y＝2 n Among them, y is the number of medical staff, and n is the number of vital sign warning signals.

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