An instant care-linked wristband intercom control system

Abstract

The present invention discloses an instant care-connected wristband intercom control system, specifically related to the field of care-connected wristband intercom, including a data batch division module, a care-connected wristband data acquisition module, a care-connected wristband data analysis module, a comprehensive evaluation module, and a real-time feedback module. The data batch division module: used to determine the data to be collected as target data, and divide the target data into different batches in an equal-time division manner; the care-connected wristband data acquisition module: includes a system data acquisition unit and an environmental data acquisition unit; the care-connected wristband data analysis module: includes a system data analysis unit and an environmental data analysis unit, used to analyze the data transmitted by the care-connected wristband data acquisition module; the comprehensive evaluation module: includes a care-connected wristband intercom rationality analysis unit, used to analyze the data transmitted by the care-connected wristband data analysis module; the real-time feedback module: used to establish a preset value of the care-connected wristband intercom rationality index.

Description

Technical Field

[0001] The present invention relates to the technical field of interconnected wristband intercom, and more specifically, the present invention relates to an instant interconnected wristband intercom control system. Background Art

[0002] With the continuous progress of communication technology, the application of instant communication technology in the field of medical care is becoming increasingly widespread. As an important device in medical care, the stability and reliability of instant communication of the interconnected wristband are crucial for improving the quality of care and patient satisfaction.

[0003] The existing instant interconnected wristband intercom control system mainly includes: a voice acquisition and transmission module, a cloud processing and distribution module, an intelligent response module, and a user interface. Among them, the voice acquisition and transmission module is responsible for real-time acquisition of the patient's call voice and uploading the voice data to the cloud through a low-power wireless network; the cloud processing and distribution module uses advanced voice recognition technology and intelligent allocation algorithms to quickly analyze and process the received voice data to achieve instant response to calls and reasonable allocation of nurses; the intelligent response module automatically pushes the call information to the terminal device of the responsible nurse according to the processing results of the cloud to ensure that the call is responded to in a timely manner; the user interface provides a simple and intuitive operation experience for nurses and patients.

[0004] However, in the existing interconnected wristband intercom system, too much emphasis is placed on the basic function of voice calls, and there is a problem of single data collection, resulting in inaccurate subsequent analysis results, limited application in complex care scenarios, and affecting the efficiency and quality of care work.

[0005] Therefore, there is an urgent need for an instant interconnected wristband intercom control system based on cloud control to solve the problems of insufficient comprehensive data collection and inaccurate data analysis and processing in the existing system, so as to further improve the instant response ability and service quality of medical care. Summary of the Invention

[0006] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides an instant interconnected wristband intercom control system, through the following solutions, to solve the problems raised in the above background art.

[0007] To achieve the above object, the present invention provides the following technical solution: An instant interconnected wristband intercom control system, comprising:

[0008] The data batch division module is used to determine the data to be collected as target data, divide the target data into different batches in an equal-time division manner, and sequentially mark them as 1, 2,..., n;

[0009] Care-linked wristband data acquisition module: It includes a system data acquisition unit and an environmental data acquisition unit, which are used to collect target data in real time and transmit the collected data to the care-linked wristband data analysis module;

[0010] Care-linked wristband data analysis module: It includes a system data analysis unit and an environmental data analysis unit, which are used to analyze the data transmitted by the care-linked wristband data acquisition module and transmit the analysis results to the comprehensive evaluation module;

[0011] Comprehensive evaluation module: It includes a care-linked wristband intercom rationality analysis unit, which is used to analyze the data transmitted by the care-linked wristband data analysis module and transmit the analysis results to the real-time feedback module;

[0012] Real-time feedback module: It is used to establish a preset value of the care-linked wristband intercom rationality index, judge the care-linked wristband intercom rationality index value according to the preset value of the care-linked wristband intercom rationality index, and send out corresponding signals according to the judgment results.

[0013] Preferably, the system data acquisition unit is used to collect wireless connection data, battery data and operation data, and the environmental data is used to collect sound data and microclimate data.

[0014] Preferably, the wireless connection data includes signal attenuation rate Sr, signal-to-noise ratio Sn and electromagnetic compatibility rate Ec; the battery data includes charge curve non-linearity Nc, discharge temperature change rate Dc and low-temperature start temperature Ls; the operation data includes touch sensitivity Ts, physical button force Pb and button response time Bt; the sound data includes noise suppression ratio Ns and speech recognition rate Sa; the microclimate data includes disinfectant residue amount Mr, medical device electromagnetic interference rate Em and ward air flow change rate Ac.

[0015] Preferably, the system data analysis unit includes a wireless connection data analysis node, a battery data analysis node and an operation data analysis node, and the environmental data analysis unit includes a sound data analysis node and a microclimate data analysis node.

[0016] Preferably, the wireless connection data analysis node is used to establish a wireless connection data calculation model, and is used to import the wireless connection data transmitted by the care-linked wristband data acquisition module into the wireless connection data calculation model to obtain a wireless connection quality coefficient value; the wireless connection data calculation model is specifically expressed as:

[0017] ,

[0018] Among them, represents the wireless connection quality coefficient value of the i-th calculation, Sr i represents the signal attenuation rate of the i-th collection, Sni denotes the signal-to-noise ratio of the i-th acquisition, Ec i denotes the electromagnetic compatibility rate of the i-th acquisition.

[0019] Preferably, the battery data analysis node is used to establish a battery data calculation model, which is used to import the battery data transmitted by the health connection wristband data acquisition module into the battery data calculation model to obtain a battery performance coefficient value; the battery data calculation model is specifically expressed as:

[0020] ,

[0021] where denotes the calculated battery performance coefficient value, Nc i denotes the non-linearity of the charging curve of the i-th acquisition, Dc i denotes the discharge temperature change rate of the i-th acquisition, Ls i denotes the discharge temperature change rate of the i-th acquisition.

[0022] Preferably, the operation data analysis node is used to establish an operation data calculation model, which is used to import the operation data transmitted by the health connection wristband data acquisition module into the operation data calculation model to obtain an operation responsiveness coefficient value; the operation data calculation model is specifically expressed as:

[0023] ,

[0024] where denotes the operation responsiveness coefficient value of the i-th calculation, Ts i denotes the touch sensitivity of the i-th acquisition, Pb i denotes the physical button force of the i-th acquisition, Bt i denotes the button response time of the i-th acquisition.

[0025] Preferably, the sound data analysis node is used to establish a sound data calculation model, which is used to import the sound data transmitted by the health connection wristband data acquisition module into the sound data calculation model to obtain a speech clarity coefficient value; the sound data calculation model is specifically expressed as:

[0026] ,

[0027] where denotes the speech clarity coefficient value of the i-th calculation, Ns i denotes the noise suppression ratio of the i-th acquisition, Sa i denotes the speech recognition rate of the i-th acquisition.

[0028] Preferably, the microclimate data analysis node is used to establish a microclimate data calculation model, and is used to import the microclimate data transmitted by the nursing connection wristband data acquisition module into the microclimate data calculation model to obtain a microenvironment safety coefficient value; the microclimate data calculation model is specifically expressed as:

[0029] ,

[0030] wherein, represents the microenvironment safety coefficient value calculated for the i-th time, Mr i represents the disinfectant residue amount collected for the i-th time, Em i represents the electromagnetic interference rate of medical equipment collected for the i-th time, Ac i represents the ward air flow change rate collected for the i-th time.

[0031] Preferably, the nursing connection wristband intercom rationality analysis unit is used to establish a nursing connection wristband intercom rationality calculation model, and imports the wireless connection quality coefficient value, battery performance coefficient value, operation responsiveness coefficient value, voice clarity coefficient value, and microenvironment safety coefficient value transmitted by the nursing connection wristband data analysis module into the nursing connection wristband intercom rationality calculation model to obtain a nursing connection wristband intercom rationality index value; the nursing connection wristband intercom rationality calculation model is specifically expressed as:

[0032] ,

[0033] wherein, S represents the calculated nursing connection wristband intercom rationality index value, represents the wireless connection quality coefficient value calculated for the i-th time, represents the calculated battery performance coefficient value, represents the operation responsiveness coefficient value calculated for the i-th time, represents the voice clarity coefficient value calculated for the i-th time, represents the minimum value of the calculated voice clarity coefficient, represents the maximum value of the calculated voice clarity coefficient, represents the microenvironment safety coefficient value calculated for the i-th time, represents the minimum value of the calculated microenvironment safety coefficient, represents the maximum value of the calculated microenvironment safety coefficient; i represents starting from the i-th number, and n represents ending at the n-th number; represents other influencing factors affecting the nursing connection wristband intercom rationality index value. Since the influence of this factor is small, it is not specifically limited in this embodiment.

[0034] The technical effects and advantages of the present invention:

[0035] 1. The present invention divides the target data into multiple batches through the data batch division module, enhancing the pertinence and practicality of data organization and processing; collects wireless connection data, battery data operation data, sound data, and microclimate data through the care connection wristband data collection module, realizing multi-dimensional and real-time data collection, effectively avoiding information omission, reducing the singularity of data collection, and providing a more comprehensive and accurate information basis for subsequent efficient care and emergency response;

[0036] 2. The present invention quickly processes and intelligently analyzes the collected data through the care connection wristband data analysis module to obtain the wireless connection quality coefficient value, battery performance coefficient value, operation responsiveness coefficient value, voice clarity coefficient value, and microenvironment safety coefficient value, intuitively showing the potential advantages and improvement directions of the care connection wristband;

[0037] 3. The present invention further improves the accuracy of the data analysis results through the comprehensive evaluation module by re-analyzing the output results of the analysis module; through the real-time feedback module, it tracks the intercom status of the care connection wristband in real time and provides an abnormal warning function, facilitating nursing staff and management to immediately grasp the operation status and nursing efficiency of the care connection wristband intercom system, and realizing efficient and intelligent nursing management and decision support. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 It is a schematic diagram of the overall structure of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0039] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0040] As shown in the attached Figure 1 An instant care connection wristband intercom control system includes a data batch division module, a care connection wristband data collection module, a care connection wristband data analysis module, a comprehensive evaluation module, and a real-time feedback module.

[0041] The data batch division module is used to determine the data to be collected as target data, divide the target data into different batches in an equal-time division manner, and sequentially label them as 1, 2,..., n;

[0042] In this embodiment, it should be specifically noted that the equal-time division method is divided by the background information management system according to the characteristics of each target data, and different collection times are divided according to the real-time requirements of each type of target data, and a system database is established to save it.

[0043] The data acquisition module of the protective wristband includes a system data acquisition unit and an environmental data acquisition unit, which are used to collect target data in real time and transmit the collected data to the data analysis module of the protective wristband; the system data acquisition unit is used to collect wireless connection data, battery data, and operation data, and the environmental data is used to collect sound data and microclimate data.

[0044] In this embodiment, it should be specifically noted that: the wireless connection data includes a signal attenuation rate Sr, a signal-to-noise ratio Sn, and an electromagnetic compatibility rate Ec; the battery data includes a charging curve non-linearity Nc, a discharge temperature change rate Dc, and a low-temperature start temperature Ls; the operation data includes a touch sensitivity Ts, a physical button force Pb, and a button response time Bt; the sound data includes a noise suppression ratio Ns and a speech recognition rate Sa; the microclimate data includes a disinfectant residue amount Mr, a medical device electromagnetic interference rate Em, and a ward air flow change rate Ac.

[0045] The signal attenuation rate is very important for evaluating the effective range of wireless connection. A lower attenuation rate means better long-distance communication ability. Its acquisition method is: using a radio frequency module and an antenna, measuring the change in signal strength at a specific distance, and calculating the decibels of signal attenuation per meter by comparing the signal strengths at different distances; the specific steps are as follows:

[0046] Signal transmission: The radio frequency module sends a signal with a known intensity.

[0047] Signal reception: The antenna receives the signal and measures the signal strength.

[0048] Distance change: Change the distance between the transmitter and the receiver.

[0049] Intensity comparison: Record the signal strengths at different distances.

[0050] Attenuation calculation: Calculate the attenuation rate per meter based on the change in signal strength.

[0051] The signal-to-noise ratio indicates that a higher signal-to-noise ratio means clearer communication quality, which is crucial for ensuring the clarity of voice calls. Its acquisition method is: continuously monitoring the received signal strength and background noise strength through the radio frequency module, and calculating the difference between the two; the specific steps are as follows:

[0052] Signal monitoring: The radio frequency module continuously monitors the received signal strength.

[0053] Noise monitoring: The radio frequency module simultaneously monitors the background noise strength.

[0054] Intensity recording: Record the signal and noise strengths.

[0055] Difference calculation: Calculate the difference between the signal strength and the noise strength.

[0056] The electromagnetic compatibility rate can evaluate whether the device works normally in a complex electromagnetic environment. The acquisition method is as follows: Use professional electromagnetic compatibility test equipment to simulate various electromagnetic interference conditions in a specific electromagnetic environment, measure the anti-interference ability of the device and the interference level generated by itself. The specific steps are as follows:

[0057] Environment setting: Set the simulated electromagnetic interference environment;

[0058] Interference simulation: Simulate different types of interference through an electromagnetic interference source;

[0059] Device testing: Place the device in the simulated environment and monitor its functions;

[0060] Interference measurement: Measure the interference level generated by the device;

[0061] Index calculation: Calculate the electromagnetic compatibility index according to the test results.

[0062] The non-linearity of the charging curve represents the non-linear degree of the charging rate changing with time during the charging process. The non-linearity reflects the change trend of the charging rate during the battery charging process. A lower non-linearity means a smoother charging process, which is beneficial to extending the battery life. The acquisition method is as follows: Connect the device with a battery tester and start charging at a constant current. Record the voltage change at regular intervals during the entire charging process. Calculate the non-linearity using the formula non-linearity = (maximum deviation of the charging rate change ÷ average charging rate) × 100%.

[0063] The discharge temperature change rate represents the rate of change of the battery temperature with time during the discharge process. The temperature change rate reflects the thermal stability of the battery during the discharge process. A lower temperature change rate means the battery is more stable during use and reduces the risk of overheating. The acquisition method is as follows: Connect a temperature sensor to the device and conduct discharge tests under different load conditions. Record the temperature change at regular intervals and then analyze the temperature change rate.

[0064] The low-temperature start temperature represents the ability of the guardian wristband to start in a low-temperature environment. The low-temperature start temperature reflects the usability of the device in a cold environment, which is particularly important for devices that need to be used in a low-temperature environment. The acquisition method is as follows: Place the device in a temperature chamber and set a low-temperature environment. Try to start the device under low-temperature conditions and record the time required for startup.

[0065] The touch sensitivity represents the magnitude of the pressure that the user needs to apply to trigger a touch operation. The acquisition method is as follows: Use a pressure sensor to measure the pressure applied by the user when triggering a touch operation. Install the pressure sensor below the touch area of the device. When the user performs a touch operation, record the pressure value and analyze the triggering effect under different pressures.

[0066] The physical button force represents the magnitude of the force that the user needs to apply when pressing a physical button, reflecting the comfort of the user when operating the button. An appropriate force can improve the user experience. The acquisition method is as follows: Install a pressure sensor below the physical button. When the user presses the button, record the pressure value and analyze the button force.

[0067] The button response time represents the time from when the user presses a button to when the system makes a response, reflecting the immediacy of the user's operation. A shorter response time means a better user experience. The acquisition method is as follows: Connect a high-precision timer to the button interface of the device. When the user presses the button, start timing and record the time difference from when the button is pressed to when the system makes a response, and analyze the response time.

[0068] The noise suppression ratio directly affects the clarity of voice communication. A high ratio indicates a better background noise cancellation effect, making the conversation clearer. The acquisition method is as follows: Process the sound signal through a noise reduction algorithm in a noisy environment and measure the intensity difference of the background noise before and after processing. The specific steps are as follows:

[0069] Sound acquisition: The microphone acquires the sound signal containing noise;

[0070] Noise identification: The system processor identifies the background noise;

[0071] Noise suppression: The noise reduction algorithm processes the signal to suppress the background noise;

[0072] Intensity comparison: Measure the noise intensity before and after processing;

[0073] Ratio calculation: Calculate the noise suppression ratio.

[0074] The speech recognition rate reflects the speech recognition ability of the caregiver wristband. A high recognition rate can improve the user's usage efficiency and satisfaction. The acquisition method is as follows: Use a speech recognition test platform to statistically calculate the proportion of voice commands accurately recognized by the device through user tests. The specific steps are as follows:

[0075] Prepare a series of predefined voice commands;

[0076] Let the user issue commands according to the script;

[0077] Use the speech recognition service to record the recognition results of the device;

[0078] Analyze the proportion of correct recognition.

[0079] The residual amount of the disinfectant is very important for evaluating the corrosion resistance and material durability of the wristband in the hospital environment. The collection method is as follows: Use a chemical sensor to monitor the residual amount of the disinfectant in the air. The specific steps are as follows:

[0080] Air sampling: Collect air samples in the ward through an air sampling device;

[0081] Chemical detection: The chemical sensor detects the concentration of the disinfectant in the sample;

[0082] Residual amount calculation: Calculate the residual amount of the disinfectant in the air per unit volume according to the detection results.

[0083] The electromagnetic interference rate of the medical device is crucial for evaluating the anti-interference ability of the wristband to ensure stable operation in a complex electromagnetic environment. The collection method is as follows: Use an electromagnetic interference sensor to monitor the electromagnetic interference level generated by surrounding medical devices; The specific steps are as follows:

[0084] Interference monitoring: The electromagnetic interference sensor monitors the electromagnetic field from medical devices;

[0085] Interference quantization: Quantify the interference level through a signal processing algorithm;

[0086] Interference level calculation: Calculate the interference rate according to the quantization results.

[0087] The air flow change rate in the ward is very important for evaluating the heat dissipation ability of the wristband and its stability in a dynamic air flow environment. The collection method is as follows: Monitor the change rate of the air flow speed in the ward over time through an anemometer. The specific steps are as follows:

[0088] Air flow monitoring: The anemometer continuously monitors the air flow speed in the ward;

[0089] Change rate calculation: The system processor calculates the change rate per unit time according to the change in the air flow speed.

[0090] Secondly: In the drawings of the disclosed embodiments of the present invention, only the structures related to the disclosed embodiments are involved. Other structures can refer to the general design. Without conflict, the same embodiment and different embodiments of the present invention can be combined with each other;

[0091] The data analysis module of the wristband includes a system data analysis unit and an environmental data analysis unit, which are used to analyze the data transmitted by the data collection module of the wristband and transmit the analysis results to the comprehensive evaluation module; The system data analysis unit includes a wireless connection data analysis node, a battery data analysis node, and an operation data analysis node. The environmental data analysis unit includes a sound data analysis node and a microclimate data analysis node.

[0092] In this embodiment, it should be specifically noted that: the wireless connection data analysis node is used to establish a wireless connection data calculation model, and is used to import the wireless connection data transmitted by the care connection wristband data acquisition module into the wireless connection data calculation model to obtain a wireless connection quality coefficient value; the wireless connection data calculation model is specifically expressed as:

[0093] ,

[0094] where, represents the wireless connection quality coefficient value calculated for the i-th time, Sr i represents the signal attenuation rate collected for the i-th time, Sn i represents the signal-to-noise ratio collected for the i-th time, Ec i represents the electromagnetic compatibility rate collected for the i-th time.

[0095] In this embodiment, it should be specifically noted that: the battery data analysis node is used to establish a battery data calculation model, and is used to import the battery data transmitted by the care connection wristband data acquisition module into the battery data calculation model to obtain a battery performance coefficient value; the battery data calculation model is specifically expressed as:

[0096] ,

[0097] where, represents the calculated battery performance coefficient value, Nc i represents the non-linearity of the charging curve collected for the i-th time, Dc i represents the discharge temperature change rate collected for the i-th time, Ls i represents the discharge temperature change rate collected for the i-th time.

[0098] In this embodiment, it should be specifically noted that: the operation data analysis node is used to establish an operation data calculation model, and is used to import the operation data transmitted by the care connection wristband data acquisition module into the operation data calculation model to obtain an operation responsiveness coefficient value; the operation data calculation model is specifically expressed as:

[0099] ,

[0100] where, represents the operation responsiveness coefficient value calculated for the i-th time, Ts i represents the touch sensitivity collected for the i-th time, Pb i represents the physical button force collected for the i-th time, Bt i represents the button response time collected for the i-th time.

[0101] In this embodiment, it should be specifically noted that: the voice data analysis node is used to establish a voice data calculation model, and is used to import the voice data transmitted by the nursing connection wristband data acquisition module into the voice data calculation model to obtain a voice clarity coefficient value; the voice data calculation model is specifically expressed as:

[0102] ,

[0103] wherein, represents the voice clarity coefficient value calculated for the i-th time, Ns i represents the noise suppression ratio collected for the i-th time, Sa i represents the speech recognition rate collected for the i-th time.

[0104] In this embodiment, it should be specifically noted that: the microclimate data analysis node is used to establish a microclimate data calculation model, and is used to import the microclimate data transmitted by the nursing connection wristband data acquisition module into the microclimate data calculation model to obtain a microenvironment safety coefficient value; the microclimate data calculation model is specifically expressed as:

[0105] ,

[0106] wherein, represents the microenvironment safety coefficient value calculated for the i-th time, Mr i represents the disinfectant residue amount collected for the i-th time, Em i represents the electromagnetic interference rate of medical equipment collected for the i-th time, Ac i represents the ward air flow change rate collected for the i-th time.

[0107] The comprehensive evaluation module includes a nursing connection wristband intercom rationality analysis unit, which is used to analyze the data transmitted by the nursing connection wristband data analysis module and transmit the analysis result to the real-time feedback module.

[0108] In this embodiment, it should be specifically noted that: the nursing connection wristband intercom rationality analysis unit is used to establish a nursing connection wristband intercom rationality calculation model, and import the wireless connection quality coefficient value, battery performance coefficient value, operation responsiveness coefficient value, voice clarity coefficient value, and microenvironment safety coefficient value transmitted by the nursing connection wristband data analysis module into the nursing connection wristband intercom rationality calculation model to obtain a nursing connection wristband intercom rationality index value; the nursing connection wristband intercom rationality calculation model is specifically expressed as:

[0109] ,

[0110] wherein, S represents the calculated nursing connection wristband intercom rationality index value, represents the wireless connection quality coefficient value calculated for the i-th time, represents the calculated battery performance coefficient value, represents the operation responsiveness coefficient value of the i-th calculation, represents the speech clarity coefficient value of the i-th calculation, represents the minimum value of the calculated speech clarity coefficient, represents the maximum value of the calculated speech clarity coefficient, represents the microenvironment safety coefficient value of the i-th calculation, represents the minimum value of the calculated microenvironment safety coefficient, represents the maximum value of the calculated microenvironment safety coefficient; i represents starting from the i-th number, and n represents ending at the n-th number; represents other influencing factors affecting the rationality index value of the caregiver-wristband intercom. Since the influence of this factor is small, it is not specifically defined in this embodiment.

[0111] The real-time feedback module is used to establish a preset value of the caregiver-wristband intercom rationality index, judge the caregiver-wristband intercom rationality index value according to the preset value of the caregiver-wristband intercom rationality index, and send a corresponding signal according to the judgment result.

[0112] In this embodiment, specifically, it should be noted that the preset value of the caregiver-wristband intercom rationality index is marked as S def , when S >= S def it indicates that the caregiver-wristband intercom rationality index value is greater than or equal to the preset value of the caregiver-wristband intercom rationality index, and then a normal signal is sent, and this signal indicates that the caregiver-wristband intercom condition is good; when S < S def it indicates that the caregiver-wristband intercom rationality index value is less than the preset value of the caregiver-wristband intercom rationality index, and then a warning signal is sent to relevant technical personnel, and this signal indicates that the caregiver-wristband intercom condition is poor.

[0113] The present invention divides the target data into multiple batches through the data batch division module, enhancing the pertinence and practicality of data organization and processing; collects wireless connection data, battery data operation data, sound data, and microclimate data through the nursing connection wristband data collection module, realizing multi-dimensional and real-time data collection, effectively avoiding information omission, reducing the singularity of data collection, and providing a more comprehensive and accurate information basis for subsequent efficient nursing and emergency response; quickly processes and intelligently analyzes the collected data through the nursing connection wristband data analysis module to obtain the wireless connection quality coefficient value, battery performance coefficient value, operation responsiveness coefficient value, voice clarity coefficient value, and microenvironment safety coefficient value, intuitively showing the potential advantages and improvement directions of the nursing connection wristband; further improves the accuracy of the data analysis results through the comprehensive evaluation module by re-analyzing the output results of the analysis module; and through the real-time feedback module, tracks the intercom status of the nursing connection wristband in real time and provides an abnormal warning function, facilitating nursing staff and management to immediately grasp the operation status and nursing efficiency of the nursing connection wristband intercom system, and realizing efficient and intelligent nursing management and decision support.

[0114] Finally, the above are only the preferred embodiments of the present invention and are not used to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An instant wristband intercom control system, characterized in that: include: The data batch division module is used to determine the data to be collected as target data, divide the target data into different batches according to equal time division, and mark them as 1, 2, ..., n in sequence; The data acquisition module of the wristband of the protection association includes the system data acquisition unit and the environmental data acquisition unit, which are used to collect the target data in real time and transmit the collected data to the data analysis module of the wristband of the protection association; The system data acquisition unit is used to collect wireless connection data, battery data and operation data, and the environmental data acquisition unit is used to collect sound data and microclimate data; the wireless connection data includes signal attenuation rate Sr, signal-to-noise ratio Sn and electromagnetic compatibility rate Ec; the battery data includes charging curve nonlinearity Nc, discharge temperature change rate Dc and low temperature starting temperature Ls; the operation data includes touch sensitivity Ts, physical key strength Pb and button response time Bt; the sound data includes noise suppression ratio Ns and voice recognition rate Sa; the microclimate data includes disinfectant residue Mr, medical equipment electromagnetic interference rate Em and ward airflow change rate Ac; The data analysis module of the wristband of the protection association includes a system data analysis unit and an environmental data analysis unit, which is used to analyze the data transmitted by the wristband of the protection association data acquisition module and transmit the analysis results to the comprehensive evaluation module; the system data analysis unit includes a wireless connection data analysis node, a battery data analysis node and an operation data analysis node, and the environmental data analysis unit includes a sound data analysis node and a microclimate data analysis node; Comprehensive evaluation module: It includes an analysis unit for the rationality of the nurse-patient wristband intercom, which is used to analyze the data transmitted by the nurse-patient wristband data analysis module and transmit the analysis results to the real-time feedback module; the analysis unit for the rationality of the nurse-patient wristband intercom is used to establish a calculation model for the rationality of the nurse-patient wristband intercom, and import the wireless connection quality coefficient value, battery performance coefficient value, operation responsiveness coefficient value, voice clarity coefficient value, and microenvironment safety coefficient value transmitted by the nurse-patient wristband data analysis module into the calculation model for the rationality of the nurse-patient wristband intercom to obtain the rationality index value of the nurse-patient wristband intercom; the wireless connection data analysis node is used to establish a wireless connection data calculation model, which is used to import the wireless connection data transmitted by the nurse-patient wristband data collection module into the wireless connection data calculation model to obtain the wireless connection quality coefficient value; the battery data analysis node is used to establish a battery data calculation model, which is used to import the battery data transmitted by the nurse-patient wristband data collection module into the battery data calculation model to obtain the battery performance coefficient value; the operation data analysis node is used to establish an operation data calculation model, which is used to import the operation data transmitted by the nurse-patient wristband data collection module into the operation data calculation model to obtain the operation responsiveness coefficient value; the sound data analysis node is used to establish a sound data calculation model, which is used to import the sound data transmitted by the nurse-patient wristband data collection module into the sound data calculation model to obtain the voice clarity coefficient value; the microclimate data analysis node is used to establish a microclimate data calculation model, which is used to import the microclimate data transmitted by the nurse-patient wristband data collection module into the microclimate data calculation model to obtain the microenvironment safety coefficient value; Real-time feedback module: It is used to establish a preset value for the rationality index of the nurse-patient wristband intercom, judge the rationality index value of the nurse-patient wristband intercom according to the preset value of the rationality index of the nurse-patient wristband intercom, and send out corresponding signals according to the judgment results; the preset value of the rationality index of the nurse-patient wristband intercom is marked as Sdef. When S >= Sdef, it means that the rationality index value of the nurse-patient wristband intercom is greater than or equal to the preset value of the rationality index of the nurse-patient wristband intercom, and a normal signal is sent, indicating that the nurse-patient wristband intercom situation is good; when S < Sdef, it means that the rationality index value of the nurse-patient wristband intercom is less than the preset value of the rationality index of the nurse-patient wristband intercom, and a warning signal is sent to relevant technical personnel, indicating that the nurse-patient wristband intercom situation is poor, where S represents the calculated rationality index value of the nurse-patient wristband intercom.

2. The instant wristband intercom control system according to claim 1 is characterized by: The wireless connection data calculation model is specifically expressed as: ， in, Indicates the wireless connection quality coefficient value calculated for the i-th time, Sr i Sn represents the signal attenuation rate of the i-th acquisition, i represents the signal-to-noise ratio of the ith acquisition, Ec i Represents the electromagnetic compatibility rate collected for the i-th time.

3. The instant wristband intercom control system according to claim 1 is characterized by: The battery data calculation model is specifically expressed as: ， in, Indicates the calculated battery performance coefficient value, Nc i Denotes the nonlinearity of the charging curve collected for the i-th time, Dc i Indicates the discharge temperature change rate collected for the i-th time, Ls i Indicates the low-temperature starting temperature collected for the i-th time.

4. The instant wristband intercom control system according to claim 1 is characterized by: The operation data calculation model is specifically expressed as: ， in, represents the value of the operational responsiveness coefficient calculated for the i-th time, Ts i Indicates the touch sensitivity collected for the i-th time, Pb i Indicates the physical key strength collected for the i-th time, Bt i Indicates the button response time of the i-th acquisition.

5. The instant wristband intercom control system according to claim 1 is characterized by: The sound data calculation model is specifically expressed as: ， in, Indicates the value of the speech clarity coefficient calculated for the i-th time, Ns i represents the noise suppression ratio of the ith acquisition, Sa i Represents the speech recognition rate of the i-th acquisition.

6. The instant wristband intercom control system according to claim 1 is characterized by: The microclimate data calculation model is specifically expressed as: ， in, Represents the microenvironment safety coefficient value calculated for the i-th time, Mr i Indicates the residual amount of disinfectant collected for the i-th time, Em i represents the electromagnetic interference rate of medical equipment collected for the i-th time, Ac i It represents the airflow change rate of the ward collected for the i-th time.

7. The instant wristband intercom control system according to claim 1 is characterized by: The calculation model for the rationality of the nurse-patient wristband intercom is specifically expressed as: ， in, represents the wireless connection quality coefficient value calculated for the i-th time, represents the calculated battery performance coefficient value, represents the value of the operational responsiveness coefficient calculated for the i-th time, represents the value of the speech clarity coefficient calculated for the i-th time, Indicates the minimum value of the calculated speech intelligibility coefficient, Indicates the maximum value of the calculated speech intelligibility coefficient. represents the microenvironment safety coefficient value calculated for the i-th time, Indicates the minimum value of the calculated microenvironment safety factor, Indicates the maximum value of the calculated microenvironment safety coefficient; i means starting from the i-th number, and n means ending at the n-th number; Represents other influencing factors that affect the rationality index value of the wristband intercom.

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