Remote monitoring and management system for medical equipment

Abstract

The invention relates to the technical field of medical equipment remote management, and discloses a medical equipment remote monitoring and management system which comprises a multi-dimensional acquisition module and a remote monitoring module. The medical equipment remote monitoring and management system obtains working parameters of all medical equipment, monitoring data of all time points and monitoring data of all areas through a multi-dimensional acquisition module, and classifies the working parameters, the monitoring data and the monitoring data to form a data set; the remote monitoring module analyzes the delay duration when each medical device outputs the working parameters and the data error of each medical device, then analyzes the difference between various environmental factors and standard values in the area, and generates a corresponding delay data set, an error data set and a fluctuation data set, so that the real-time monitoring and management capability is high, and the real-time monitoring and management efficiency is high. The remote monitoring module judges whether network abnormity, data loss or error phenomena exist in the remote transmission process of the medical equipment or not and whether various environmental factors in the region affect normal operation of the medical equipment or not, and generates corresponding early warning signals, and the fault response efficiency is high.

Description

Technical Field

[0001] The present invention relates to the technical field of medical equipment remote management, and in particular to a medical equipment remote monitoring and management system. Background Art

[0002] Remote monitoring and management of medical equipment is an indispensable part of the modern medical system. It not only improves the quality and efficiency of medical services, but also brings better treatment experience to patients. Medical equipment that needs remote monitoring and management includes but is not limited to large precision instruments, emergency monitoring equipment, chronic disease management equipment, postoperative rehabilitation equipment, mental health monitoring equipment, drug management equipment and environmental monitoring equipment. Large precision instruments, such as color ultrasound diagnostic equipment, are usually used for medical imaging diagnosis. Through the remote monitoring system, the operating status of the equipment can be monitored in real time, and abnormal conditions can be discovered and handled in time. As an important equipment to ensure the sterility of medical devices, the remote monitoring of the sterilizer can ensure that the sterilization process meets the standards, thereby effectively preventing the risk of infection caused by equipment failure. Similarly, for emergency and monitoring equipment, remote monitoring is also crucial. It can help medical staff respond to emergencies more effectively and ensure the safety of patients. Chronic disease management equipment regularly monitors patients' blood sugar and blood pressure, and the data is automatically uploaded to the cloud to help doctors adjust treatment plans. Postoperative rehabilitation equipment helps patients recover their functions after surgery. Remote monitoring can track the patient's recovery progress and provide personalized training suggestions. Mental health monitoring devices such as smart watches and fitness trackers can monitor users' sleep patterns, stress levels, etc., providing valuable data for mental health professionals. Medication management devices can remind patients to take medication on time and upload medication data to the cloud to help doctors assess patient compliance. In laboratories or wards with strict requirements on environmental conditions, environmental monitoring equipment can ensure the suitability of the environment, thereby avoiding equipment failure or impact on patient health.

[0003] At present, traditional medical equipment remote monitoring and management systems have the problem of insufficient real-time performance in data processing. Data delays may affect rapid response in emergency situations, thus posing a threat to patient safety. It is difficult to detect data distortion in a timely manner, and it takes a long time to identify the root cause, whether it is hardware failure, software failure or interference from external environmental factors. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In view of the shortcomings of the prior art, the present invention provides a medical equipment remote monitoring and management system, which has the advantages of strong real-time monitoring and management capabilities and high fault response efficiency, and solves the problems of poor real-time analysis capabilities and low fault response efficiency of traditional medical equipment remote monitoring and management systems.

[0006] (II) Technical solution

[0007] To achieve the above-mentioned object, the present invention provides the following technical solutions: a medical equipment remote monitoring and management system, comprising a multi-dimensional acquisition module and a remote monitoring module;

[0008] The multi-dimensional acquisition module is composed of an equipment data unit, a monitoring data unit and an environmental monitoring unit. The equipment data unit is connected to the medical device through the network to collect equipment data sets, and the equipment data sets include the working parameters of all medical devices. The monitoring data unit is connected to the central control console through the network to collect monitoring data sets, and the monitoring data sets include the monitoring data of all time points received by the central control console. The environmental monitoring unit is connected to the monitoring device through the network to collect environmental data sets, and the environmental data sets include the monitoring data of all areas. The multi-dimensional acquisition module transmits the equipment data sets, monitoring data sets and environmental data sets to the remote monitoring module through the network;

[0009] The remote monitoring module is composed of a delay analysis unit, an error analysis unit, a fluctuation analysis unit and a scheduling management unit. The delay analysis unit analyzes the delay time of each medical device outputting working parameters according to the device data set and the monitoring data set, and generates a corresponding delay data group Ycsj. The error analysis unit analyzes the data error of each medical device received by the central control console according to the device data set and the monitoring data set, and generates a corresponding error data group Wcsj. The fluctuation analysis unit is provided with fixed values ​​of dust particle standard concentration BCN, standard temperature BWD, standard humidity BSD, standard air circulation rate BLT, standard positive pressure difference BYC and standard voltage BDY, and then combined with the environmental data set, the differences between various environmental factors in the area and the standard values ​​are analyzed to generate the corresponding fluctuation data group Bdsj. The scheduling management unit is provided with a fixed range of concentration threshold CNY, temperature threshold WDY, humidity threshold SDY, rate threshold LTY, pressure difference threshold YCY and voltage threshold DYY, and then combined with the delay data group Ycsj, the error data group Wcsj and the fluctuation data group Bdsj to judge whether there is network anomaly, data loss or error in the remote transmission process of the medical equipment, and whether various environmental factors in the area affect the normal operation of the medical equipment, and generate corresponding early warning signals.

[0010] Preferably, the expression of the device data set is {S1 q 、S2 q 、S3 q 、...、Sn q},S1 q To Sn qThey are the working parameters of the first to nth medical equipment respectively. The medical equipment includes color ultrasound diagnostic equipment, electrocardiogram monitor, ventilator, blood pressure monitor and sterilizer. q represents the area number where the medical equipment is located.

[0011] Preferably, the expression of the monitoring data set is {K1 q , K2 q 、K3 q , ..., Kn q}, K1 to Kn q are the monitoring data of the first to nth medical devices received by the central console, including ultrasound images, electrocardiogram signals, tidal volume, blood pressure values ​​and sterilization temperature. d represents the specific time of obtaining the monitoring data. S1 in the device data set q Compared with K1 in the monitoring dataset q They all correspond to the same medical device.

[0012] Preferably, the expression of the environmental data set is {H1 m 、H2 m 、H3 m 、...、Hj m}, H1 m To Hj m They are the monitoring data of the first to jth areas, including dust particle concentration, temperature, humidity, air circulation rate, positive pressure difference and voltage value. m represents the specific time for obtaining the monitoring data of a single area.

[0013] Preferably, the calculation process of the delay data group Ycsj is as follows:

[0014] Extract the working parameters of the ith medical device in the device data set, and mark the time point when the ith medical device outputs the working parameters as SC i ;

[0015] According to the monitoring data set, extract the time point when the central control console receives the monitoring data of the i-th medical device and mark it as JS i ;

[0016]

[0017] In the formula, Ycsj represents the delayed data group, JS i -SC i It represents the time difference between the output of working parameters of the i-th medical device and the reception of monitoring data by the central control console, that is, the delay time of the i-th medical device. It represents the time difference between the simultaneous calculation of the working parameters output by n medical devices and the reception of monitoring data by the central control console, which is the delayed data group.

[0018] Preferably, the calculation process of the error data set Wcsj is as follows:

[0019] According to the equipment data set, the ultrasound image resolution when the color ultrasound diagnostic instrument is working is marked as TX t , the ECG signal amplitude when the ECG monitor is working is marked as ZF t , the tidal volume when the ventilator is working is marked as CQ t , mark the blood pressure value when the blood pressure monitor is working as XY t , the sterilization temperature of the sterilizer is marked as MJ t ;

[0020] According to the monitoring data set, the resolution of the ultrasound image received by the central console is marked as TX t+1 , mark the amplitude of the ECG signal received by the central console as ZF t+1 , mark the tidal volume received by the central console as CQ t+1 , mark the blood pressure value received by the central console as XY t+1 , mark the sterilization temperature received by the central console as MJ t+1 ;

[0021]

[0022] In the formula, Wcsj represents the error data set, TX t -TX t+1 It indicates the difference between the resolution of the ultrasound image when the color ultrasound diagnostic instrument is working and the resolution of the ultrasound image received by the central console. t -ZF t+1 Indicates the change between the amplitude of the ECG signal when the ECG monitor is working and the amplitude of the ECG signal received by the central control console, CQ t -CQ t+1 Indicates the change between the tidal volume when the ventilator is working and the tidal volume received by the central console, XY t -XY t+1 Indicates the change between the blood pressure value when the blood pressure monitor is working and the blood pressure value received by the central console, MJ t -MJ t+1 Indicates the difference between the sterilization temperature when the sterilizer is working and the sterilization temperature received by the central control console.

[0023] Preferably, the calculation process of the fluctuation data set Bdsj is as follows:

[0024] Extract the monitoring data of the kth area in the environmental data set and mark the dust particle concentration in the kth area as CN k , the temperature of the kth region is marked as WD k, mark the humidity of the kth area as SD k , the air circulation rate of the kth area is marked as LT k , mark the positive pressure difference in the kth region as YC k , mark the voltage value of the kth region as DY k ;

[0025]

[0026] In the formula, Bdsj represents the fluctuation data group, BCN-CN k Indicates the difference between the dust particle concentration in the kth area and the standard concentration, BWD-WD k Indicates the difference between the temperature of the kth region and the standard temperature, BSD-SD k Indicates the difference between the humidity of the kth area and the standard humidity, BLT-LT k Indicates the difference between the air circulation rate of the kth area and the standard rate, BYC-YC k Indicates the difference between the positive pressure difference of the kth area and the standard positive pressure difference, BDY-DY k Indicates the difference between the voltage value of the kth region and the standard voltage.

[0027] Preferably, when the delay duration of any medical device in the delay data group Ycsj exceeds 3 seconds, it indicates that the medical device has a network anomaly during remote transmission, a delay warning signal is generated, and the medical devices of the same model in the area are controlled to start operation.

[0028] Preferably, the scheduling management unit sets a timeline according to the monitoring data set. When any value in the error data group Wcsj is not equal to 0, it indicates that the medical device has data loss and error during the remote transmission process, generates an error warning signal, and marks the specific time point where the data loss and error occur in the timeline.

[0029] Preferably, when the dust particle concentration difference in the fluctuation data group Bdsj exceeds the concentration threshold CNY, the temperature difference exceeds the temperature threshold WDY, the humidity difference exceeds the humidity threshold SDY, the air circulation rate difference exceeds the rate threshold LTY, the positive pressure difference exceeds the pressure difference threshold YCY or the voltage difference exceeds the voltage threshold DYY, it indicates that the environmental factors in the area have affected the normal operation of the medical equipment, and a regional warning signal is generated, which is broadcast to notify patients and medical staff in the area.

[0030] Compared with the prior art, the present invention provides a medical equipment remote monitoring and management system, which has the following beneficial effects:

[0031] 1. The present invention connects medical equipment, a central control console and a monitoring device through a multi-dimensional acquisition module network, obtains the working parameters of all medical equipment, the monitoring data of all time points received by the central control console and the monitoring data of all areas, and classifies them into equipment data sets, monitoring data sets and environmental data sets. The remote monitoring module analyzes the delay time when each medical device outputs the working parameters, and generates a corresponding delay data group Ycsj. The longer the delay time, the greater the probability of hardware failure. The remote monitoring module analyzes the data error of each medical device received by the central control console, and generates a corresponding error data group Wcsj, which intuitively reflects the data loss and error phenomenon of the medical equipment during the remote transmission process. The greater the probability of data distortion and software failure, the remote monitoring module is set with a fixed standard value, and then combined with the environmental data set, the difference between various environmental factors in the area and the standard value is analyzed to generate a corresponding fluctuation data group Bdsj, which has strong real-time monitoring and management capabilities.

[0032] 2. The present invention uses a remote monitoring module to determine whether there is network anomaly, data loss or error in the remote transmission process of the medical device, and whether various environmental factors in the area affect the normal operation of the medical device. When the delay time of any medical device in the delay data group Ycsj exceeds 3 seconds, it indicates that the medical device has network anomaly during the remote transmission process, generates a delay warning signal, and controls the medical devices of the same model in the area to start running. The remote monitoring module sets the time axis according to the monitoring data set. When any value in the error data group Wcsj is not equal to 0, it indicates that the medical device has network anomaly during the remote transmission process. Data loss and error phenomena generate error warning signals and mark the specific time points where data loss and error phenomena occur in the timeline. When the dust particle concentration difference in the fluctuation data group Bdsj exceeds the concentration threshold CNY, the temperature difference exceeds the temperature threshold WDY, the humidity difference exceeds the humidity threshold SDY, the air circulation rate difference exceeds the rate threshold LTY, the positive pressure difference exceeds the pressure difference threshold YCY or the voltage difference exceeds the voltage threshold DYY, it means that the environmental factors in the area have affected the normal operation of the medical equipment, and a regional warning signal is generated and broadcast to notify patients and medical staff in the area, with high fault response efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a schematic diagram of the system flow of the present invention. DETAILED DESCRIPTION

[0034] 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.

[0035] Because traditional medical equipment remote monitoring and management systems have insufficient real-time data processing, data delays may affect rapid response in emergency situations, thus posing a threat to patient safety. It is difficult to detect data distortion in a timely manner, and it takes a long time to identify the root cause of hardware failure, software failure, or interference from external environmental factors. Therefore, a medical equipment remote monitoring and management system is provided. Please refer to Figure 1 ,The system includes a multi-dimensional acquisition module and a remote monitoring module;

[0036] The multi-dimensional acquisition module consists of a device data unit, a monitoring data unit, and an environmental monitoring unit. The device data unit connects to medical devices through the network to collect device data sets. The device data set includes the working parameters of all medical devices. The expression of the device data set is {S1 q 、S2 q 、S3 q 、...、Sn q}, S1 to Sn q are the working parameters of the first to nth medical equipment, respectively. Medical equipment includes color ultrasound diagnostic equipment, electrocardiogram monitor, ventilator, blood pressure monitor and sterilizer. q represents the area number where the medical equipment is located. Specifically, the management area includes but is not limited to conventional wards, intensive care units, laboratories or operating rooms;

[0037] The monitoring data unit collects monitoring data sets through the network connection to the central control station. The monitoring data sets include the monitoring data of all time points received by the central control station. The expression of the monitoring data set is {K1 q , K2 q 、K3 q , ..., Kn q}, K1 q To Kn q are the monitoring data of the first to nth medical devices received by the central console, including ultrasound images, electrocardiogram signals, tidal volume, blood pressure values, and sterilization temperature. d represents the specific time of obtaining the monitoring data. S1 in the device data set q Compared with K1 in the monitoring dataset qThey all correspond to the same medical device. The device data set collects the working parameters of the medical device at the first time, and the monitoring data set collects the working parameters received by the central console terminal. The data content should be consistent, and the delay time should be as short as possible.

[0038] The environmental monitoring unit collects environmental data sets through a network connection monitoring device. The environmental data sets include monitoring data of all areas. The expression of the environmental data sets is {H1 m 、H2 m 、H3 m 、…、Hj m}, H1 m To Hj m are the monitoring data of the first to jth areas, including dust particle concentration, temperature, humidity, air circulation rate, positive pressure difference and voltage value. The dust particle concentration directly reflects the air cleanliness of the regional environment. The appropriate positive pressure difference can prevent pollutants from entering the operating area. The stability of temperature, humidity, air circulation rate and voltage value is crucial to ensure the smooth progress of the operation and the safety and recovery of the patient. m represents the specific time of obtaining the monitoring data of a single area;

[0039] The multi-dimensional acquisition module transmits the equipment data set, monitoring data set and environmental data set to the remote monitoring module through the network, and performs multi-dimensional monitoring of the hardware working status of the medical equipment, the software running status of the system and various environmental factors in the area, which helps to timely discover data distortion and improve the emergency response speed;

[0040] The remote monitoring module consists of a delay analysis unit, an error analysis unit, a fluctuation analysis unit, and a scheduling management unit. The delay analysis unit analyzes the delay duration of each medical device outputting working parameters based on the device data set and the monitoring data set, and generates the corresponding delay data group Ycsj. The calculation process is as follows:

[0041] Extract the working parameters of the ith medical device in the device data set, and mark the time point when the ith medical device outputs the working parameters as SC i ;

[0042] According to the monitoring data set, extract the time point when the central control console receives the monitoring data of the i-th medical device and mark it as JS i ;

[0043]

[0044] In the formula, Ycsj represents the delayed data group, JS i -SC i It represents the time difference between the output of working parameters of the i-th medical device and the reception of monitoring data by the central control console, that is, the delay time of the i-th medical device. The time difference between the simultaneous calculation of the working parameters of n medical devices and the reception of monitoring data by the central control console is the delay data group, which comprehensively monitors all types of medical devices within the area. The longer the delay time, the greater the probability of hardware failure.

[0045] The error analysis unit analyzes the data error of each medical device received by the central control console according to the device data set and the monitoring data set, and generates the corresponding error data set Wcsj. The calculation process is as follows:

[0046] According to the equipment data set, the ultrasound image resolution when the color ultrasound diagnostic instrument is working is marked as TX t , the ECG signal amplitude when the ECG monitor is working is marked as ZF t , the tidal volume when the ventilator is working is marked as CQ t , mark the blood pressure value when the blood pressure monitor is working as XY t , the sterilization temperature of the sterilizer is marked as MJ t ;

[0047] According to the monitoring data set, the resolution of the ultrasound image received by the central console is marked as TX t+1 , mark the amplitude of the ECG signal received by the central console as ZF t+1 , mark the tidal volume received by the central console as CQ t+1 , mark the blood pressure value received by the central console as XY t+1 , mark the sterilization temperature received by the central console as MJ t+1 ;

[0048]

[0049] In the formula, Wcsj represents the error data set, TX t -TX t+1 It indicates the difference between the resolution of the ultrasound image when the color ultrasound diagnostic instrument is working and the resolution of the ultrasound image received by the central console. t -ZF t+1 Indicates the change between the amplitude of the ECG signal when the ECG monitor is working and the amplitude of the ECG signal received by the central control console, CQ t -CQ t+1 Indicates the change between the tidal volume when the ventilator is working and the tidal volume received by the central console, XY t -XY t+1 Indicates the change between the blood pressure value when the blood pressure monitor is working and the blood pressure value received by the central console, MJ t -MJ t+1It indicates the change between the sterilization temperature when the sterilizer is working and the sterilization temperature received by the central control console. The error data group Wcsj directly reflects the data loss and error phenomenon of medical equipment during remote transmission. The greater the data distortion and the probability of software failure;

[0050] The fluctuation analysis unit is set with fixed values ​​of dust particle standard concentration BCN, standard temperature BWD, standard humidity BSD, standard air circulation rate BLT, standard positive pressure difference BYC and standard voltage BDY. Combined with the environmental data set, it analyzes the differences between various environmental factors in the area and the standard values ​​to generate the corresponding fluctuation data group Bdsj. The calculation process is as follows:

[0051] Extract the monitoring data of the kth area in the environmental data set and mark the dust particle concentration in the kth area as CN k , the temperature of the kth region is marked as WD k , mark the humidity of the kth area as SD k , the air circulation rate of the kth area is marked as LT k , mark the positive pressure difference in the kth region as YC k , mark the voltage value of the kth region as DY k ;

[0052]

[0053] In the formula, Bdsj represents the fluctuation data group, BCN-CN k Indicates the difference between the dust particle concentration in the kth area and the standard concentration, BWD-WD k Indicates the difference between the temperature of the kth region and the standard temperature, BSD-SD k Indicates the difference between the humidity of the kth area and the standard humidity, BLT-LT k Indicates the difference between the air circulation rate of the kth area and the standard rate, BYC-YC k Indicates the difference between the positive pressure difference of the kth area and the standard positive pressure difference, BDY-DY k Indicates the difference between the voltage value of the kth area and the standard voltage, comprehensively monitors the changes in various environmental factors in the area, and has strong real-time monitoring and management capabilities;

[0054] The scheduling management unit is set with a fixed range of concentration threshold CNY, temperature threshold WDY, humidity threshold SDY, rate threshold LTY, pressure difference threshold YCY and voltage threshold DYY, and then combined with the delay data group Ycsj, error data group Wcsj and fluctuation data group Bdsj to judge whether there is network anomaly, data loss or error in the remote transmission process of the medical equipment, and whether various environmental factors in the area affect the normal operation of the medical equipment. When the delay time of any medical device in the delay data group Ycsj exceeds 3 seconds, it means that the medical equipment has network anomaly in the remote transmission process, generates a delay warning signal, and controls the same model of medical equipment in the area to start running. The scheduling management unit sets according to the monitoring data set On the time axis, when any value in the error data group Wcsj is not equal to 0, it means that the medical device has data loss and error during the remote transmission process, an error warning signal is generated, and the specific time point where the data loss and error occur is marked on the time axis. When the dust particle concentration difference in the fluctuation data group Bdsj exceeds the concentration threshold CNY, the temperature difference exceeds the temperature threshold WDY, the humidity difference exceeds the humidity threshold SDY, the air circulation rate difference exceeds the rate threshold LTY, the positive pressure difference exceeds the pressure difference threshold YCY, or the voltage difference exceeds the voltage threshold DYY, it means that the environmental factors in the area have affected the normal operation of the medical equipment, a regional warning signal is generated, and the patients and medical staff in the area are notified by broadcast, and the fault response efficiency is high.

[0055] Example 1: In this experiment, the surgical ward was selected as the experimental object. After testing, the time point when the ECG monitor, ventilator, blood pressure detector and sterilizer in the ward output the working parameters is 12:00:00, the time point when the central control console receives the ECG signal is 12:00:05, the time point when the tidal volume is received is 12:00:03, the time point when the blood pressure value is received is 12:00:01, and the time point when the sterilization temperature is received is 12:00:01. The calculation formula of the delayed data group Ycsj of the medical equipment in the ward is as follows:

[0056]

[0057] In the formula, Ycsj represents the delay data group, 12:00:05-12:00:00 represents the time difference between the output of the working parameters by the electrocardiogram monitor and the reception of the ultrasound image by the central console, 5s is the delay time of the electrocardiogram monitor, 12:00:03-12:00:00 represents the time difference between the output of the working parameters by the ventilator and the reception of the tidal volume by the central console, 3s is the delay time of the ventilator, 12:00:01-12:00:00 represents the time difference between the output of the working parameters by the blood pressure detector and the reception of the blood pressure value by the central console, 1s is the delay time of the blood pressure detector, 12:00:01-12:00:00 represents the time difference between the output of the working parameters by the sterilizer and the reception of the sterilization temperature by the central console, 1s is the delay time of the sterilizer. It is judged that the electrocardiogram monitor in the ward has network abnormalities during the remote transmission process, and a delay warning signal is generated.

[0058] Embodiment 2: In this experiment, the operating room is selected as the experimental object. After testing, the dust particle concentration of the operating room is ≥0.5μm, the number of suspended particles is 350, the temperature is 25℃, the humidity is 31%, the air circulation rate is 10 times / hour, the positive pressure difference is 3.0Pa, and the voltage value is 380V. The standard concentration of dust particles should be ≥0.5μm, the number of suspended particles should not exceed 352, the standard temperature should be 24℃, the standard humidity should be 30%, the standard air circulation rate should be 12 times / hour, the standard positive pressure difference should be 2.5Pa, and the standard voltage should be 380V. The fluctuation data group Bdsj of the environmental factors of the operating room is calculated as follows:

[0059]

[0060] In the formula, Bdsj represents the fluctuation data group, 2 represents the difference between the dust particle concentration in the operating room and the standard concentration, -1°C represents the difference between the temperature in the operating room and the standard temperature, -1% represents the difference between the humidity in the operating room and the standard humidity, 2 represents the difference between the air circulation rate in the operating room and the standard rate, -0.5Pa represents the difference between the positive pressure difference in the operating room and the standard positive pressure difference, and 0 represents that the voltage value in the operating room is stable.

[0061] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A medical equipment remote monitoring and management system, characterized in that: Including multi-dimensional acquisition module and remote monitoring module; The multi-dimensional acquisition module is composed of an equipment data unit, a monitoring data unit and an environmental monitoring unit. The equipment data unit is connected to the medical device through the network to collect equipment data sets, and the equipment data sets include the working parameters of all medical devices. The monitoring data unit is connected to the central control console through the network to collect monitoring data sets, and the monitoring data sets include the monitoring data of all time points received by the central control console. The environmental monitoring unit is connected to the monitoring device through the network to collect environmental data sets, and the environmental data sets include the monitoring data of all areas. The multi-dimensional acquisition module transmits the equipment data sets, monitoring data sets and environmental data sets to the remote monitoring module through the network; The remote monitoring module is composed of a delay analysis unit, an error analysis unit, a fluctuation analysis unit and a scheduling management unit. The delay analysis unit analyzes the delay time of each medical device outputting working parameters according to the device data set and the monitoring data set, and generates a corresponding delay data group Ycsj. The error analysis unit analyzes the data error of each medical device received by the central control console according to the device data set and the monitoring data set, and generates a corresponding error data group Wcsj. The fluctuation analysis unit is provided with fixed values ​​of dust particle standard concentration BCN, standard temperature BWD, standard humidity BSD, standard air circulation rate BLT, standard positive pressure difference BYC and standard voltage BDY, and then combined with the environmental data set, the differences between various environmental factors in the area and the standard values ​​are analyzed to generate the corresponding fluctuation data group Bdsj. The scheduling management unit is provided with a fixed range of concentration threshold CNY, temperature threshold WDY, humidity threshold SDY, rate threshold LTY, pressure difference threshold YCY and voltage threshold DYY, and then combined with the delay data group Ycsj, the error data group Wcsj and the fluctuation data group Bdsj to judge whether there is network anomaly, data loss or error in the remote transmission process of the medical equipment, and whether various environmental factors in the area affect the normal operation of the medical equipment, and generate corresponding early warning signals.

2. A medical equipment remote monitoring and management system according to claim 1, characterized in that: The expression of the device data set is {S1 q 、S2 q 、S3 q 、...、Sn q },S1 q To Sn q They are the working parameters of the first to nth medical equipment respectively. The medical equipment includes color ultrasound diagnostic equipment, electrocardiogram monitor, ventilator, blood pressure monitor and sterilizer. q represents the area number where the medical equipment is located.

3. A medical equipment remote monitoring and management system according to claim 2, characterized in that: The expression of the monitoring data set is {K1 q , K2 q 、K3 q , ..., Kn q }, K1 q To Kn q are the monitoring data of the first to nth medical devices received by the central console, including ultrasound images, electrocardiogram signals, tidal volume, blood pressure values ​​and sterilization temperature. d represents the specific time of obtaining the monitoring data. S1 in the device data set q Compared with K1 in the monitoring dataset q They all correspond to the same medical device.

4. A medical equipment remote monitoring and management system according to claim 3, characterized in that: The expression of the environmental data set is {H1 m 、H2 m 、H3 m 、...、Hj m }, H1 m to Hj are the monitoring data of the first to jth areas respectively, and the monitoring data include dust particle concentration, temperature, humidity, air circulation rate, positive pressure difference and voltage value. m represents the specific time of obtaining the monitoring data of a single area.

5. A medical equipment remote monitoring and management system according to claim 4, characterized in that: The calculation process of the delayed data group Ycsj is as follows: Extract the working parameters of the ith medical device in the device data set, and mark the time point when the ith medical device outputs the working parameters as SC i ; According to the monitoring data set, extract the time point when the central control console receives the monitoring data of the i-th medical device and mark it as JS i ; In the formula, Ycsj represents the delayed data group, JS i -SC i It represents the time difference between the output of working parameters of the i-th medical device and the reception of monitoring data by the central control console, that is, the delay time of the i-th medical device. It represents the time difference between the simultaneous calculation of the working parameters output by n medical devices and the reception of monitoring data by the central control console, which is the delayed data group.

6. A medical equipment remote monitoring and management system according to claim 5, characterized in that: The calculation process of the error data set Wcsj is as follows: According to the equipment dataset, the ultrasound image resolution when the color ultrasound diagnostic instrument is working is marked as TX t , the ECG signal amplitude when the ECG monitor is working is marked as ZF t , the tidal volume when the ventilator is working is marked as CQ t , mark the blood pressure value when the blood pressure monitor is working as XY t , the sterilization temperature of the sterilizer is marked as MJ t ; According to the monitoring data set, the resolution of the ultrasound image received by the central console is marked as TX t+1 , mark the amplitude of the ECG signal received by the central console as ZF t+1 , mark the tidal volume received by the central console as CQ t+1 , mark the blood pressure value received by the central console as XY t+1 , mark the sterilization temperature received by the central console as MJ t+1 ; In the formula, Wcsj represents the error data set, TX t -TX t+1 It indicates the difference between the resolution of the ultrasound image when the color ultrasound diagnostic instrument is working and the resolution of the ultrasound image received by the central console. t -ZF t+1 Indicates the change between the amplitude of the ECG signal when the ECG monitor is working and the amplitude of the ECG signal received by the central control console, CQ t -CQ t+1 Indicates the change between the tidal volume when the ventilator is working and the tidal volume received by the central console, XY t -XY t+1 Indicates the change between the blood pressure value when the blood pressure monitor is working and the blood pressure value received by the central console, MJ t -MJ t+1 Indicates the difference between the sterilization temperature when the sterilizer is working and the sterilization temperature received by the central control console.

7. A medical equipment remote monitoring and management system according to claim 6, characterized in that: The calculation process of the fluctuation data group Bdsj is as follows: Extract the monitoring data of the kth area in the environmental data set and mark the dust particle concentration in the kth area as CN k , the temperature of the kth region is marked as WD k , mark the humidity of the kth area as SD k , the air circulation rate of the kth area is marked as LT k , mark the positive pressure difference in the kth region as YC k , mark the voltage value of the kth region as DY k ; In the formula, Bdsj represents the fluctuation data group, BCN-CN k Indicates the difference between the dust particle concentration in the kth area and the standard concentration, BWD-WD k Indicates the difference between the temperature of the kth region and the standard temperature, BSD-SD k Indicates the difference between the humidity of the kth area and the standard humidity, BLT-LT k Indicates the difference between the air circulation rate of the kth area and the standard rate, BYC-YC k Indicates the difference between the positive pressure difference of the kth area and the standard positive pressure difference, BDY-DY k Indicates the difference between the voltage value of the kth region and the standard voltage.

8. A medical equipment remote monitoring and management system according to claim 7, characterized in that: When the delay time of any medical device in the delay data group Ycsj exceeds 3 seconds, it indicates that the medical device has a network anomaly during the remote transmission process, a delay warning signal is generated, and the medical devices of the same model in the area are controlled to start operation.

9. A medical equipment remote monitoring and management system according to claim 8, characterized in that: The scheduling management unit sets a timeline according to the monitoring data set. When any value in the error data group Wcsj is not equal to 0, it indicates that the medical device has data loss and error during the remote transmission process, generates an error warning signal, and marks the specific time point where the data loss and error occur in the timeline.

10. A medical equipment remote monitoring and management system according to claim 9, characterized in that: When the dust particle concentration difference in the fluctuation data group Bdsj exceeds the concentration threshold CNY, the temperature difference exceeds the temperature threshold WDY, the humidity difference exceeds the humidity threshold SDY, the air circulation rate difference exceeds the rate threshold LTY, the positive pressure difference exceeds the pressure difference threshold YCY or the voltage difference exceeds the voltage threshold DYY, it indicates that the environmental factors in the area have affected the normal operation of the medical equipment, and a regional early warning signal is generated, which is broadcast to notify patients and medical staff in the area.

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