Instant protecting and connecting wrist strap talkback control system

Abstract

The invention discloses a real-time protecting and connecting wrist strap talkback control system, and particularly relates to the field of protecting and connecting wrist strap talkback, which comprises a data batch division module, a protecting and connecting wrist strap data acquisition module, a protecting and connecting wrist strap data analysis module, a comprehensive evaluation module and a real-time feedback module. The data batch division module is used for determining to-be-collected data as target data and dividing the target data into different batches according to an equitime division mode; the protecting and connecting wrist strap data acquisition module comprises a system data acquisition unit and an environment data acquisition unit; the protecting and connecting wrist strap data analysis module comprises a system data analysis unit and an environment data analysis unit and is used for analyzing the data transmitted by the protecting and connecting wrist strap data acquisition module; the comprehensive evaluation module comprises a protecting and connecting wrist strap talkback reasonability analysis unit and is used for analyzing the data transmitted by the protecting and connecting wrist strap data analysis module; and the real-time feedback module is used for establishing a preset value of the intercommunication reasonability index of the protecting and connecting wrist strap.

Description

Technical Field

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

[0002] With the continuous advancement of communication technology, the application of instant communication technology in the field of medical care is becoming more and more extensive. As an important device in medical care, the stability and reliability of the instant communication of the Hulian wristband is crucial to improving the quality of care and patient satisfaction.

[0003] The existing instant nursing wristband intercom control system mainly includes: voice collection and transmission module, cloud processing and distribution module, intelligent response module and user interaction interface. Among them, the voice collection and transmission module is responsible for real-time collection of patients' call voices and uploading 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 deployment of nurses; the intelligent response module automatically pushes call information to the responsible nurse's terminal device based on the processing results of the cloud to ensure that the call is responded to in a timely manner; the user interaction interface provides nurses and patients with a simple and intuitive operation experience.

[0004] However, the existing wristband intercom system focuses too much on the basic function of voice calls, and the collected data is monotonous, which makes the subsequent analysis results inaccurate, limiting its application in complex nursing scenarios and affecting the efficiency and quality of nursing work.

[0005] Therefore, there is an urgent need for an instant cloud-based wristband intercom control system to solve the problems of insufficient data collection and insufficient accuracy of data analysis and processing in the existing system, so as to further improve the instant response capability 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 wristband intercom control system, which solves the problems raised in the above-mentioned background technology through the following scheme.

[0007] To achieve the above object, the present invention provides the following technical solution: an instant wristband intercom control system, comprising: 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 wristband data analysis module includes a system data analysis unit and an environmental data analysis unit, which is used to analyze the data transmitted by the wristband data acquisition module and transmit the analysis results to the comprehensive evaluation module; Comprehensive evaluation module: including the rationality analysis unit of the wristband intercom, which is used to analyze the data transmitted by the wristband data analysis module and transmit the analysis results to the real-time feedback module; Real-time feedback module: used to establish a preset value of the rationality index of the protection association wristband intercom, judge the rationality index value of the protection association wristband intercom according to the preset value of the rationality index of the protection association wristband intercom, and send a corresponding signal according to the judgment result.

[0008] 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.

[0009] Preferably, the wireless connection data include signal attenuation rate Sr, signal-to-noise ratio Sn and electromagnetic compatibility rate Ec; the battery data include charging curve nonlinearity Nc, discharge temperature change rate Dc and low-temperature starting temperature Ls; the operation data include touch sensitivity Ts, physical key force Pb and button response time Bt; the sound data include noise suppression ratio Ns and speech recognition rate Sa; the microclimate data include disinfectant residue Mr, medical equipment electromagnetic interference rate Em and ward airflow change rate Ac.

[0010] 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.

[0011] Preferably, 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 wristband data acquisition module into the wireless connection data calculation model to obtain the wireless connection quality coefficient value; 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.

[0012] 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 wristband data acquisition module into the battery data calculation model to obtain the battery performance coefficient value; 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 Represents the discharge temperature change rate collected for the i-th time.

[0013] 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 wristband data acquisition module into the operation data calculation model to obtain the operation responsiveness coefficient value; 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.

[0014] 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 wristband data acquisition module into the sound data calculation model to obtain the voice clarity coefficient value; 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.

[0015] Preferably, 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 wristband data acquisition module into the microclimate data calculation model to obtain the microenvironment safety coefficient value; 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, Emi 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.

[0016] Preferably, the protection wristband intercom rationality analysis unit is used to establish a protection wristband intercom rationality calculation model, and 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 protection wristband data analysis module are imported into the protection wristband intercom rationality calculation model to obtain the protection wristband intercom rationality index value; the protection wristband intercom rationality calculation model is specifically expressed as: , Among them, S represents the calculated rationality index value of the wristband intercom. 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; Indicates other influencing factors that affect the rationality index value of the wristband intercom. Since the influence of this factor is relatively small, this embodiment does not make any specific limitation.

[0017] Technical effects and advantages of the present invention: 1. The present invention divides the target data into multiple batches through the data batch division module, thereby enhancing the pertinence and practicality of data organization and processing; the wristband data acquisition module collects wireless connection data, battery data operation data, sound data and microclimate data, thereby realizing multi-dimensional and real-time data acquisition, effectively avoiding information omissions, reducing the singleness of data acquisition, and providing a more comprehensive and accurate information basis for subsequent efficient nursing and emergency response; 2. The present invention uses the data analysis module of the wristband to quickly process and intelligently analyze the collected data, obtain the wireless connection quality coefficient value, battery performance coefficient value, operation responsiveness coefficient value, voice clarity coefficient value and microenvironment safety coefficient value, and intuitively demonstrate the potential advantages and improvement directions of the wristband; 3. The present invention further improves the accuracy of data analysis results by re-analyzing the output results of the analysis module through a comprehensive evaluation module; through a real-time feedback module, the intercom status of the nursing wristband is tracked in real time, and an abnormal warning function is provided, which is convenient for nursing staff and management to instantly grasp the operating status and nursing efficiency of the nursing wristband intercom system, and realize efficient and intelligent nursing management and decision support. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic diagram of the overall structure of the present invention. DETAILED DESCRIPTION

[0019] 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.

[0020] As attached Figure 1 The instant wristband intercom control system shown includes a data batch division module, a wristband data acquisition module, a wristband data analysis module, a comprehensive evaluation module, and a real-time feedback module.

[0021] 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 mark them as 1, 2, ..., n in sequence; What needs to be specifically explained in this embodiment is that the equal time division method is used to divide each target data according to its characteristics through the background information management system, and each target data is divided into different collection times according to its real-time requirements, and a system database is established to store it.

[0022] The Hulian wristband data acquisition module 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 Hulian wristband data analysis module; 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.

[0023] In this embodiment, it is specifically necessary to explain that: the wireless connection data includes the signal attenuation rate Sr, the signal-to-noise ratio Sn and the electromagnetic compatibility rate Ec; the battery data includes the nonlinearity of the charging curve Nc, the discharge temperature change rate Dc and the low-temperature starting temperature Ls; the operation data includes the touch sensitivity Ts, the physical key force Pb and the button response time Bt; the sound data includes the noise suppression ratio Ns and the speech recognition rate Sa; the microclimate data includes the disinfectant residue Mr, the electromagnetic interference rate of the medical equipment Em and the airflow change rate Ac of the ward.

[0024] The signal attenuation rate is very important for evaluating the effective range of wireless connection. A lower attenuation rate means better long-distance communication capability. The acquisition method is: using a radio frequency module and an antenna to measure the change in signal strength at a specific distance, and by comparing the signal strength at different distances, the decibel number of signal attenuation per meter is calculated; the specific steps are as follows: Signal transmission: The RF module sends a signal of known strength; Signal reception: The antenna receives the signal and measures the signal strength; Distance change: change the distance between the transmitter and the receiver; Strength comparison: record the signal strength at different distances; Attenuation calculation: Calculate the attenuation rate per meter based on the change in signal strength.

[0025] The signal-to-noise ratio means that a higher signal-to-noise ratio means clearer communication quality, which is crucial to ensuring the clarity of voice calls. The acquisition method is: monitor the received signal strength and background noise strength in real time through the RF module, and calculate the difference between the two. The specific steps are as follows: Signal monitoring: The RF module continuously monitors the received signal strength; Noise monitoring: The RF module also monitors the background noise intensity; Intensity recording: record signal and noise intensity; Difference calculation: Calculate the difference between the signal strength and the noise strength.

[0026] The electromagnetic compatibility rate can evaluate whether the equipment works normally in a complex electromagnetic environment. The collection method is: using professional electromagnetic compatibility test equipment to simulate various electromagnetic interference conditions in a specific electromagnetic environment, and measure the equipment's anti-interference ability and the interference level generated by itself. The specific steps are as follows: Environment settings: Set up the simulated electromagnetic interference environment; Interference simulation: simulate different types of interference through electromagnetic interference sources; Equipment testing: placing the equipment in a simulated environment and monitoring its functionality; Interference measurement: measuring the level of interference generated by the equipment; Index calculation: Calculate the electromagnetic compatibility index based on the test results.

[0027] The nonlinearity of the charging curve indicates the nonlinear degree of the charging rate changing with time during the charging process. The nonlinearity reflects the changing trend of the charging rate during the battery charging process. A lower nonlinearity means a smoother charging process, which is beneficial to extending the battery life. The collection method is: use a battery tester to connect the device, start charging at a constant current, record the voltage changes at regular intervals during the entire charging process, and use the formula nonlinearity = (maximum deviation of charging rate change ÷ average charging rate) × 100% to calculate the nonlinearity.

[0028] The discharge temperature change rate indicates the rate of change of battery temperature over 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 that the battery is more stable during use and reduces the risk of overheating. The collection method is: connect the temperature sensor to the device, perform discharge tests under different load conditions, record the temperature changes at regular intervals, and then analyze the temperature change rate.

[0029] The low-temperature startup temperature indicates the ability of the wristband to start in a low-temperature environment. The low-temperature startup temperature reflects the usability of the device in a cold environment. It is especially important for devices that need to be used in a low-temperature environment. The collection method is: put the device into a temperature box, set a low-temperature environment, try to start the device under low-temperature conditions, and record the time required to start.

[0030] The touch sensitivity indicates the amount of pressure that the user needs to apply to trigger a touch operation. The touch sensitivity is collected by using a pressure sensor to measure the pressure applied by the user when triggering a touch operation. The pressure sensor is installed under the touch area of ​​the device, and the pressure value is recorded when the user performs a touch operation, and the triggering effect under different pressures is analyzed.

[0031] The physical key force indicates the amount of force a user needs to apply when pressing a physical key, and reflects the user's comfort when operating the key. Appropriate force can improve the user's experience. The collection method is: install a pressure sensor under the physical key, record the pressure value when the user presses the key, and analyze the key force.

[0032] The button response time refers to the time from when the user presses the button to when the system responds, reflecting the immediacy of the user's operation. A shorter response time means a better user experience. The collection method is: connect a high-precision timer to the button interface of the device, start timing when the user presses the button, record the time difference from when the button is pressed to when the system responds, and analyze the response time.

[0033] The noise suppression ratio directly affects the clarity of voice communication. A high ratio indicates a better background noise elimination effect, making the conversation clearer. The acquisition method is: in a noisy environment, the sound signal is processed by a noise reduction algorithm, and the difference in the intensity of the background noise before and after the processing is measured. The specific steps are as follows: Sound collection: The microphone collects sound signals containing noise; Noise recognition: The system processor recognizes background noise; Noise suppression: The noise reduction algorithm processes the signal to suppress background noise; Intensity comparison: measure the noise intensity before and after processing; Ratio Calculation: Calculates the noise suppression ratio.

[0034] The speech recognition rate reflects the speech recognition capability of the wristband. A high recognition rate can improve the user's efficiency and satisfaction. The collection method is: using the speech recognition test platform to test the percentage of the device accurately recognizing speech commands through user testing; the specific steps are as follows: Prepare a series of predefined voice commands; Let users issue instructions according to the script; Use speech recognition services to record device recognition results; Analyze the proportion of correct identifications.

[0035] The residual amount of disinfectant is very important for evaluating the corrosion resistance and material durability of the wristband in the hospital environment. The collection method is: using a chemical sensor to monitor the residual amount of disinfectant in the air. The specific steps are as follows: Air sampling: Collect air samples in the ward through an air sampling device; Chemical detection: Chemical sensors detect the concentration of disinfectants in the sample; Residual calculation: Calculate the residual amount of disinfectant in unit volume of air based on the test results.

[0036] The electromagnetic interference rate of medical equipment is crucial to evaluate the anti-interference ability of the wristband to ensure stable operation in a complex electromagnetic environment. The collection method is: using electromagnetic interference sensors to monitor the electromagnetic interference level generated by surrounding medical equipment; the specific steps are as follows: Interference monitoring: EMI sensors monitor electromagnetic fields from medical devices; Interference quantification: quantifying interference levels through signal processing algorithms; Interference level calculation: Calculate the interference rate based on the quantification results.

[0037] The airflow change rate in the ward is very important for evaluating the heat dissipation capacity of the wristband and its stability in a dynamic airflow environment. The collection method is to monitor the change rate of the airflow velocity in the ward over time through an anemometer. The specific steps are as follows: Airflow monitoring: An anemometer continuously monitors the airflow velocity in the ward; Change rate calculation: The system processor calculates the change rate per unit time based on the change in air flow velocity.

[0038] Secondly: In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other; The protection wristband data analysis module includes a system data analysis unit and an environmental data analysis unit, which are used to analyze the data transmitted by the protection wristband 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.

[0039] In this embodiment, it is specifically required to be explained that: 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 wristband data acquisition module into the wireless connection data calculation model to obtain the wireless connection quality coefficient value; 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 represents the signal attenuation rate of the i-th acquisition, Sn i represents the signal-to-noise ratio of the ith acquisition, Ec i Represents the electromagnetic compatibility rate collected for the i-th time.

[0040] In this embodiment, it is specifically required to be explained that: 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 wristband data acquisition module into the battery data calculation model to obtain the battery performance coefficient value; 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 Represents the discharge temperature change rate collected for the i-th time.

[0041] In this embodiment, it is specifically required to be explained that: 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 wristband data acquisition module into the operation data calculation model to obtain the operation responsiveness coefficient value; 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.

[0042] In this embodiment, it is specifically required to be explained that: 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 wristband data acquisition module into the sound data calculation model to obtain the voice clarity coefficient value; 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.

[0043] In this embodiment, it is specifically required to be explained that: 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 wristband data acquisition module into the microclimate data calculation model to obtain the microenvironment safety coefficient value; 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.

[0044] The comprehensive evaluation module includes a rationality analysis unit for the intercom of the Hulian wristband, which is used to analyze the data transmitted by the Hulian wristband data analysis module and transmit the analysis results to the real-time feedback module.

[0045] In this embodiment, it is specifically required to be explained that: the rationality analysis unit of the protective wristband intercom is used to establish a rationality calculation model of the protective wristband intercom, and 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 protective wristband data analysis module are imported into the rationality calculation model of the protective wristband intercom to obtain the rationality index value of the protective wristband intercom; the rationality calculation model of the protective wristband intercom is specifically expressed as: , Among them, S represents the calculated rationality index value of the wristband intercom. 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; Indicates other influencing factors that affect the rationality index value of the wristband intercom. Since the influence of this factor is relatively small, this embodiment does not make any specific limitation.

[0046] The real-time feedback module is used to establish a preset value of the rationality index of the protection association wristband intercom, judge the rationality index value of the protection association wristband intercom according to the preset value of the rationality index of the protection association wristband intercom, and send a corresponding signal according to the judgment result.

[0047] In this embodiment, it should be specifically noted that: the preset value of the rationality index of the wristband intercom is marked as S def , when S>=S def When S def When the rationality index value of the protective wristband intercom is less than the preset value of the rationality index of the protective wristband intercom, an early warning signal will be issued to the relevant technical personnel, indicating that the condition of the protective wristband intercom is poor.

[0048] ​The present invention divides the target data into multiple batches through the data batch division module, thereby enhancing the pertinence and practicality of data organization and processing; the wireless connection data, battery data operation data, sound data and microclimate data are collected through the data acquisition module of the wristband, thereby realizing multi-dimensional and real-time data collection, effectively avoiding information omissions, reducing the singleness of data collection, and providing a more comprehensive and accurate information basis for subsequent efficient nursing and emergency response; the collected data is quickly processed and intelligently analyzed through the data analysis module of the wristband, and the wireless connection quality coefficient value, battery performance coefficient value, operation responsiveness coefficient value, voice clarity coefficient value and microenvironment safety coefficient value are obtained, which intuitively demonstrates the potential advantages and improvement directions of the wristband; through the comprehensive evaluation module, the output results of the analysis module are re-analyzed to further improve the accuracy of the data analysis results; through the real-time feedback module, the intercom status of the wristband is tracked in real time, and an abnormal warning function is provided, so that nursing staff and management can instantly grasp the operating status and nursing efficiency of the wristband intercom system of the wristband, and realize efficient and intelligent nursing management and decision support.

[0049] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should 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 wristband data analysis module includes a system data analysis unit and an environmental data analysis unit, which is used to analyze the data transmitted by the wristband data acquisition module and transmit the analysis results to the comprehensive evaluation module; Comprehensive evaluation module: including the rationality analysis unit of the wristband intercom, which is used to analyze the data transmitted by the wristband data analysis module and transmit the analysis results to the real-time feedback module; Real-time feedback module: used to establish a preset value of the rationality index of the protection association wristband intercom, judge the rationality index value of the protection association wristband intercom according to the preset value of the rationality index of the protection association wristband intercom, and send a corresponding signal according to the judgment result.

2. The instant wristband intercom control system according to claim 1 is characterized by: The system data acquisition unit is used to acquire wireless connection data, battery data and operation data, and the environmental data is used to acquire sound data and microclimate data.

3. The instant wristband intercom control system according to claim 2 is characterized in that: 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 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 Mr, medical equipment electromagnetic interference rate Em and ward airflow change rate Ac.

4. The instant wristband intercom control system according to claim 1 is characterized by: 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 environment data analysis unit includes a sound data analysis node and a microclimate data analysis node.

5. The instant wristband intercom control system according to claim 4 is characterized by: 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 wristband data acquisition module into the wireless connection data calculation model to obtain the wireless connection quality coefficient value; 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.

6. The instant wristband intercom control system according to claim 4 is characterized by: 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 wristband data acquisition module into the battery data calculation model to obtain the battery performance coefficient value; 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 Represents the discharge temperature change rate collected for the i-th time.

7. The instant wristband intercom control system according to claim 4 is characterized by: 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 wristband data acquisition module into the operation data calculation model to obtain the operation responsiveness coefficient value; 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.

8. The instant wristband intercom control system according to claim 4 is characterized by: 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 wristband data acquisition module into the sound data calculation model to obtain the voice clarity coefficient value; 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.

9. The instant wristband intercom control system according to claim 4 is characterized by: 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 wristband data acquisition module into the microclimate data calculation model to obtain the microenvironment safety coefficient value; 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.

10. The instant wristband intercom control system according to claim 1 is characterized by: The rationality analysis unit of the protective wristband intercom is used to establish a rationality calculation model of the protective wristband intercom, and import the wireless connection quality coefficient value, battery performance coefficient value, operation responsiveness coefficient value, voice clarity coefficient value and micro-environment safety coefficient value transmitted by the protective wristband data analysis module into the rationality calculation model of the protective wristband intercom to obtain the rationality index value of the protective wristband intercom; the rationality calculation model of the protective wristband intercom is specifically expressed as: ， Among them, S represents the calculated rationality index value of the wristband intercom. 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; Indicates other influencing factors that affect the rationality index value of the wristband intercom. Since the influence of this factor is relatively small, this embodiment does not make any specific limitation.

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