A care bed unit terminal sterilization system

Abstract

The present application relates to the field of disinfection system, disclose a kind of nursing bed unit terminal disinfection system, for realizing terminal disinfection process from experience operation to accurate controllable technology.The nursing bed unit terminal disinfection system includes using non-equilibrium plasma generator, forms gas-electric integrated composite disinfection field around nursing bed, makes nursing bed surface material polarization by alternating electric field, obtains functionalized surface with enhanced catalytic activity, with the help of active group and functionalized surface, efficiently kill pathogen, with the help of sensor and multi-physical field coupling model, real-time monitoring and dynamically adjusting disinfection parameter, ensure optimal disinfection efficiency, termination module reaches predetermined pathogen kill logarithm, automatically terminate disinfection.The present application also has residual active group neutralization, material stability recovery, disinfection efficiency verification and other functions, can generate disinfection efficiency verification report and equipment maintenance early warning information, realize disinfection process comprehensive management and traceability.

Description

Technical Field

[0001] This invention relates to the field of disinfection systems, and more particularly to a terminal disinfection system for a nursing bed unit. Background Technology

[0002] In the field of medical care, nursing bed units are the places where patients have the most frequent and close contact, and their hygiene directly affects patients' health and safety. Various pathogens, including bacteria, viruses, and fungi, can easily grow and remain on the surfaces of nursing bed units. These pathogens can cause nosocomial infections, posing a serious health threat to patients, especially those with weakened immune systems, such as postoperative patients, critically ill patients, and elderly patients, where nosocomial infections can even be life-threatening. Therefore, effective terminal disinfection of nursing bed units to thoroughly kill surface pathogens is a crucial step in preventing nosocomial infections and ensuring patient safety.

[0003] Shortcomings of existing technology:

[0004] Traditional disinfection methods, such as wiping with chemical disinfectants and ultraviolet irradiation, are difficult to thoroughly disinfect all surfaces of the nursing bed unit, especially hidden areas and complex surfaces. They can easily leave disinfection dead spots, resulting in the retention of some pathogens and failing to effectively prevent nosocomial infections.

[0005] Chemical disinfectants may corrode the materials of the nursing bed unit, and the residual harmful substances pose a risk of secondary harm to patients. In addition, the irritating odors produced during use affect indoor air quality. Ultraviolet radiation is harmful to the human body, and personnel exposure must be strictly avoided during use, which limits its application scenarios.

[0006] Traditional disinfection methods cannot monitor environmental parameters in real time during the disinfection process, nor can they dynamically adjust disinfection parameters according to actual conditions. This makes it difficult to guarantee the stability and effectiveness of the disinfection process and achieve precise disinfection.

[0007] Traditional disinfection methods lack effective measures to deal with residual active substances after disinfection, which may pose safety hazards. At the same time, the lack of a sound disinfection efficacy verification and equipment maintenance early warning mechanism makes it difficult to ensure the continuous stability of disinfection quality and the normal operation of equipment.

[0008] Therefore, we propose a terminal disinfection system for nursing bed units to solve the above problems. Summary of the Invention

[0009] This invention provides a terminal disinfection system for nursing bed units, which enables the terminal disinfection process to be transformed from an experience-based operation to a precise and controllable process.

[0010] The first aspect of this invention provides a terminal disinfection system for a nursing bed unit, comprising a generation module, an activation module, a sterilization module, a control module, and a termination module. The generation module includes a non-equilibrium plasma generator and an alternating electric field generator. The generated alternating electric field directly drives the activation module, which is physically installed on and around the nursing bed unit. The sterilization module is activated by the plasma cloud generated by the generation module contacting the functionalized surface of the activation module in space. The control module provides an input signal to the termination module, and the control output of the termination module is connected to the enable terminal of the generation module. The generation module simultaneously generates a plasma cloud and an alternating electric field in the space surrounding the nursing bed unit, forming a gas-electric integrated composite disinfection field. The activation module utilizes pre-... A functionalized surface is obtained by placing a high dielectric constant functional material to generate polarization intensity on its surface; a sterilization module is used to bring the active groups in the plasma cloud into contact with the functionalized surface, and decompose them under catalysis to produce highly active decomposition products, including atomic oxygen and hydroxyl radicals; a control module is used to monitor the disinfection environment parameters in real time, and predict the disinfection process based on a multi-physics coupling model, and dynamically adjust the output parameters of the non-equilibrium plasma generator according to the prediction results, including optimizing the frequency and intensity of the alternating electric field and the concentration distribution of active groups in the plasma cloud in real time according to the prediction results; a termination module is used to automatically terminate the disinfection process when the predetermined number of pathogens killed is reached, completing the terminal disinfection of the nursing bed unit.

[0011] Optionally, in a first implementation of the first aspect of the present invention, the method includes: supplying a working gas and adjusting the flow rate and proportion of the working gas to generate a pretreatment gas; applying a high-voltage, high-frequency electric field to the pretreatment gas to cause ionization and dissociation of gas molecules, generating ionized gas; by controlling the discharge power, frequency, and gas flow rate, causing the ionized gas to form a stable and uniformly concentrated plasma cloud in the space surrounding the nursing bed unit, the plasma cloud serving as a source of active groups; and using the alternating electromagnetic field radiated in space by the high-voltage, high-frequency electric field to couple with the plasma cloud to form a composite disinfection field.

[0012] Optionally, in a second implementation of the first aspect of the present invention, the multiphysics coupling model simultaneously considers the interaction between plasma flow, electric field distribution and surface catalytic reaction, and predicts the disinfection effect in real time by solving the coupled partial differential equations.

[0013] Optionally, in a third implementation of the first aspect of the present invention, the method includes: guiding the alternating electric field in the composite disinfection field to a pre-placed giant dielectric constant functional material region on the surface of the nursing bed to form an excitation electric field; the giant dielectric constant functional material undergoes dielectric polarization under the action of the excitation electric field, generating transient polarization intensity and forming a polarized surface; by adjusting the frequency and intensity of the excitation electric field, the polarized surface generates a stable high-density surface charge distribution, thereby obtaining a functionalized surface with reconstructed surface electronic states.

[0014] Optionally, in a fourth implementation of the first aspect of the present invention, the method includes: guiding the plasma cloud in the composite disinfection field to the functionalized surface, so that the gaseous active groups form an adsorbed active group layer on the functionalized surface; the high-density surface charge distribution of the functionalized surface catalyzes the decomposition of the adsorbed active groups to generate highly active decomposition products including atomic oxygen and hydroxyl radicals; and by controlling the polarization intensity and plasma cloud concentration of the functionalized surface, the highly active decomposition products form an active decomposition product diffusion field on the surface of the nursing bed.

[0015] Optionally, in the fifth implementation of the first aspect of the present invention, the method includes: real-time acquisition of multi-dimensional environmental parameters, including active group concentration, electric field strength, and surface temperature, to generate a real-time environmental state dataset; inputting the real-time environmental state dataset into a multi-physics coupling prediction model, and generating a disinfection process prediction result by simultaneously solving the plasma transport equation, electric field distribution equation, and surface reaction kinetic equation; generating an optimized control instruction set based on a comparative analysis of the disinfection process prediction result and a preset disinfection target; and feeding the optimized control instruction set back to the control system of the non-equilibrium plasma generator to adjust its discharge parameters and gas supply parameters in real time, so that the composite disinfection field maintains optimal disinfection efficiency.

[0016] Optionally, in the sixth implementation of the first aspect of the present invention, the method includes: based on the disinfection process prediction result output by the multi-physics coupling model, calculating the number of pathogens killed in real time and generating disinfection progress assessment data; continuously comparing the disinfection progress assessment data with the predetermined target number of pathogens killed, and generating a disinfection completion verification result when a predetermined threshold is reached.

[0017] Based on the disinfection completion verification results, a system shutdown control command is generated. The command includes a power reduction program for the non-equilibrium plasma generator and an electric field intensity decay scheme. The system shutdown control command is executed to gradually reduce the output power and electric field intensity of the plasma generator, so that the polarization state on the surface of the giant dielectric constant functional material is smoothly released. Then, the gas supply and power system are completely shut down. After the disinfection process is terminated, the ventilation system is maintained for a predetermined time to ensure that the residual active groups are completely decomposed, and a final disinfection completion confirmation signal is generated.

[0018] Optionally, in the seventh implementation of the first aspect of the present invention, the disinfection process prediction result includes the current disinfection efficiency and the estimated completion time, wherein the disinfection efficiency is... :

[0019] ,

[0020] in, It is the initial number of pathogens. It represents the number of pathogens surviving at time t.

[0021] Optionally, in the eighth implementation of the first aspect of the present invention, a maintenance module is further included, used to initiate a residual active group neutralization procedure after the disinfection process is terminated, implement material stability restoration treatment, verify disinfection efficacy, establish a digital archive of the disinfection process, and perform system self-checks and maintenance warnings: by controlling the temperature and humidity parameters in the nursing bed unit environment and introducing neutralizing agent vapor, a neutralization reaction occurs with the residual active groups to generate harmless neutralization products; after completing the neutralization procedure, a restorative electric field treatment is applied to the giant dielectric constant functional material to eliminate the residual polarization effect accumulated in the material during the disinfection process, so that the material returns to its initial stable state; biological indicators or chemical indicators are used to sample and test the surface of the disinfected nursing bed to generate disinfection efficacy verification data; key parameters in the disinfection process, disinfection progress prediction results, disinfection completion verification results, and disinfection efficacy verification data are integrated and recorded to generate a disinfection efficacy verification report; based on the operating data of this disinfection process, the performance of the non-equilibrium plasma generator, sensor system, and electric field generation device is evaluated, and equipment maintenance warning information is generated.

[0022] The mechanism of this invention is as follows: By utilizing the alternating electric field generated by the plasma generator, a dual function is achieved simultaneously: ionizing the gas to generate a plasma cloud rich in active groups, and exciting the giant dielectric constant functional material on the surface of the nursing bed to generate extremely high polarization intensity, thereby forming a functional interface with ultra-high catalytic activity on the material surface.

[0023] Beneficial effects: By regulating the polarization intensity and plasma cloud concentration of the functionalized surface, highly active decomposition products form a uniformly distributed active decomposition product diffusion field on the surface of the nursing bed, ensuring consistent disinfection effects in all areas of the nursing bed unit and avoiding the problem of incomplete local disinfection.

[0024] By using a multi-parameter sensor array to collect environmental parameters in real time and predicting the disinfection process through a multi-physics coupling model, the output parameters of the non-equilibrium plasma generator are dynamically adjusted according to the prediction results. This enables real-time monitoring and precise control of the disinfection process, and can automatically optimize disinfection parameters according to actual conditions to ensure that the disinfection effect is always kept at the best level, thereby improving the reliability and stability of disinfection.

[0025] It can automatically determine whether disinfection is complete based on the log number of pathogens killed and generate corresponding control commands to automatically terminate the disinfection process. After disinfection is terminated, the subsequent processing module automatically starts a series of procedures, including neutralization of residual active groups, material stability restoration, disinfection efficacy verification, digital file establishment, and equipment self-inspection and maintenance early warning, without manual intervention, which greatly improves work efficiency and reduces the impact of human factors on disinfection effect.

[0026] By integrating key parameters in the disinfection process, disinfection progress prediction results, disinfection completion verification results, and disinfection effect verification data, a traceable disinfection efficacy verification report is generated, providing detailed and accurate basis for the assessment and management of disinfection quality, which is conducive to the hospital's standardized and regulated management of disinfection work. Attached Figure Description

[0027] Figure 1 This is a schematic diagram of one embodiment of the terminal disinfection system for a nursing bed unit according to the present invention;

[0028] Figure 2 This is a schematic diagram of another embodiment of the terminal disinfection system for the nursing bed unit in this invention;

[0029] Figure 3 This is a schematic diagram of one embodiment of the terminal disinfection device for a nursing bed unit in this invention. Detailed Implementation

[0030] This invention provides a terminal disinfection system for nursing bed units, enabling the terminal disinfection process to transition from empirical operation to precise and controllable technology. The terms "first," "second," "third," "fourth," etc. (if present) in the specification, claims, and accompanying drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments described herein can be implemented in a sequence other than that illustrated or described herein. Furthermore, the terms "comprising" or "having" and any variations thereof are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or devices.

[0031] For ease of understanding, the specific process of the embodiments of the present invention is described below. Please refer to [link / reference]. Figure 1 One embodiment of the terminal disinfection system for nursing bed units in this invention includes:

[0032] 101. Generation module, used to generate a composite disinfection field: A plasma cloud rich in active groups and an alternating electric field are simultaneously generated in the space around the nursing bed unit by a non-equilibrium plasma generator, forming a gas-electric integrated composite disinfection field.

[0033] It is understood that the executing entity of this invention can be a terminal disinfection device for a nursing bed unit, or it can be a terminal or a server; no specific limitation is made here. This embodiment of the invention will be described using a server as an example.

[0034] It should be noted that an array-type dielectric barrier discharge (DBD) generator is used, installed on a bracket approximately 0.5-1.0 meters above the nursing bed unit, covering the bed and surrounding 0.5 cubic meters of space. The generator electrodes consist of copper mesh electrodes (0.5 mm thick) and an alumina ceramic dielectric layer (2 mm thick), with an adjustable electrode spacing of 5 mm. The power supply system uses a high-frequency, high-voltage AC power supply with adjustable output parameters: voltage range 5-15 kV, frequency range 10-50 kHz, and maximum power 200 W.

[0035] Working process: After power is supplied, the power supply applies an alternating current of 10kV and 30kHz to the electrodes, forming a strong alternating electric field between the electrodes. Ambient air (or dry air injected through the air intake channel, with a flow rate controlled at 20L / min) is drawn into the discharge gap. Under the action of the electric field, gas molecules ionize to form a non-equilibrium plasma, generating a large number of active groups, including: ozone (O3): concentration maintained at 0.1-0.5ppm; hydroxyl radicals (·OH) and atomic oxygen (O); excited-state nitrogen oxides (NO). X ).

[0036] Plasma couples and diffuses with the alternating electric field, forming a visible pale blue plasma cloud (density approximately 10). 15 ions / m 3 It evenly fills the space around the nursing bed, achieving 360° coverage without dead angles.

[0037] Electric field strength: The alternating electric field strength is maintained at 3-5 kV / cm to ensure stable plasma generation without arcing. Temperature control: By adjusting discharge parameters (voltage, frequency), the plasma cloud temperature is kept within a low temperature range of 300-330 K (27-57℃) to avoid thermal damage to the nursing bed materials. Active group concentration: Ozone and free radical concentrations are monitored in real time by built-in sensors to ensure effective disinfection (ozone ≥ 0.1 ppm).

[0038] Safety features: The generator casing is grounded and encased in an insulating medium (PTFE) to prevent leakage risks. It automatically monitors ambient humidity (relative humidity <60%) to prevent excessive humidity from reducing discharge efficiency.

[0039] 102. Excitation module, used to activate field-induced catalysis: The giant dielectric constant functional material pre-placed on the surface of the nursing bed is excited by an alternating electric field to generate extremely high polarization intensity on its surface, thereby obtaining a functionalized surface with enhanced catalytic activity.

[0040] The giant dielectric constant functional material is a rare earth element-doped strontium titanate ceramic material, which generates a polarization intensity 2-3 orders of magnitude higher than that of conventional materials under the action of an alternating electric field.

[0041] It should be noted that the functional materials configuration includes: samarium (Sm)-doped strontium titanate ceramic sheets (10cm × 10cm × 0.2mm) pre-embedded or coated on the high-frequency contact surfaces of the nursing bed (bed rails, bedside tables, equipment belts). 0.99 Sm 0.01 TiO3. This material, after sintering and annealing, possesses a large dielectric constant (≥110,000 at room temperature, measured at 1kHz frequency) and low loss characteristics (tanδ≤0.05).

[0042] Electric field excitation parameters: An alternating electric field generated by a non-equilibrium plasma generator is applied to the ceramic surface. The electric field parameters are: frequency: 30kHz (to optimize ion migration rate); intensity: 5kV / cm (to ensure polarization saturation without material breakdown); waveform: sinusoidal alternating current; duration: continuous excitation for at least 60 seconds. The electric field uniformly covers the surface of all functional materials through an electrode grid pre-embedded inside the nursing bed.

[0043] Polarization and catalytic activation process: Under the action of an alternating electric field, rare earth ions (Sm) in the ceramic... 3+ These particles combine with oxygen vacancies in the strontium titanate lattice to form defect dipole clusters. These dipoles are highly ordered along the electric field direction, generating a surface polarization intensity (≥1.5 C / m). 2 Compared to ordinary dielectric materials (undoped SrTiO3, polarization intensity is approximately 0.01 C / m), this is significantly higher. 2The polarization intensity is increased by approximately 150 times. The extremely high polarization intensity creates a localized strong electric field region on the material surface (field strength increased by 10). 2 -10 3 This provides catalytic active sites for reactive groups (ozone, hydroxyl radicals) in the subsequent plasma cloud.

[0044] Functionalized surface properties: The activated surface exhibits superhydrophilicity (water contact angle < 5°), promoting the uniform spreading of active groups. Enhanced catalytic activity is manifested by a decrease in the surface work function (ΔΦ ≥ 1.2 eV), significantly enhancing the adsorption and decomposition capabilities of active groups.

[0045] The electric field parameters are monitored in real time using an impedance sensor to ensure matching with the material's resonant frequency (avoiding energy reflection). The material surface temperature is controlled at 40±5℃ (via infrared thermometry feedback) to prevent overheating damage to the bed's polymer components.

[0046] 103. Killing module, used for synergistic disinfection: It brings the active groups in the plasma cloud into contact with the functionalized surface, and decomposes them under catalysis to produce highly active decomposition products, thereby achieving efficient killing of surface pathogens; the highly active decomposition products include substances with strong oxidizing properties such as atomic oxygen and hydroxyl radicals, and their generation rate is more than 10 times higher than that of conventional catalytic processes;

[0047] It should be noted that, based on the completion of the first two steps (generation of the composite disinfection field and field-induced catalytic activation), a functionalized surface of samarium-doped strontium titanate ceramic (polarization intensity ≥1.5C / m) has been formed on the surface of the nursing bed. 2 ).

[0048] The plasma cloud is generated by a hydrogen peroxide gas plasma generator, and its active components include: hydroxyl radicals (·OH): density ≥10. 15 ions / m 3 Atomic oxygen (O): density ≥10 14 ions / m 3 Ozone (O3): The concentration is maintained at 0.1-0.5 ppm.

[0049] The contact time between the plasma cloud and the functionalized surface was 90 seconds, the ambient temperature was controlled at 25±3℃, and the relative humidity was 50±5%.

[0050] Synergistic disinfection process: The plasma cloud is uniformly diffused onto the surface of the nursing bed through an airflow circulation system (wind speed 0.8-1.2 m / s), ensuring full contact with the functionalized surface. The extremely high polarization intensity of the functionalized surface (150 times higher than conventional materials) forms a localized strong electric field region, causing the active groups in the plasma (ozone, hydrogen peroxide molecules) to decompose rapidly under catalysis: ozone (O3) decomposes into atomic oxygen (O) and oxygen gas on the catalytic surface, increasing the generation rate by 12 times; hydrogen peroxide (H2O2) decomposes into two hydroxyl radicals (·OH), increasing the generation rate by 15 times.

[0051] The highly active decomposition products (atomic oxygen and hydroxyl radicals) directly attack the cell membrane, proteins, and nucleic acids of pathogens, achieving highly efficient killing: the kill log number against methicillin-resistant Staphylococcus aureus (MRSA) reaches 4.5 LRV.

[0052] The concentration of hydroxyl radicals was monitored in real time using an ultraviolet spectral sensor (maintained at ≥10). 15 ions / m 3 This ensures the catalytic reaction continues. An electrochemical sensor monitors the ozone concentration (stable at 0.1-0.5 ppm) to prevent excessively high concentrations from causing material corrosion.

[0053] The entire process is conducted in a closed environment to prevent the leakage of reactive groups. If the sensor detects an abnormal concentration of reactive groups (ozone exceeding 0.8 ppm), the system automatically triggers a safety protocol to reduce the power of the plasma generator.

[0054] 104. Control module for dynamic optimization and control: Real-time monitoring of disinfection environment parameters through sensors, prediction of disinfection process based on multi-physics coupling model, and dynamic adjustment of output parameters of non-equilibrium plasma generator according to prediction results;

[0055] The multiphysics coupling model simultaneously considers the interaction between plasma flow, electric field distribution, and surface catalytic reaction, and predicts the disinfection effect in real time by solving the coupled partial differential equations.

[0056] Dynamic adjustment includes optimizing the frequency and intensity of the alternating electric field and the concentration distribution of active groups in the plasma cloud in real time based on the prediction results.

[0057] It should be noted that multiple types of sensors are deployed around the nursing bed: Ozone concentration sensor: real-time monitoring of ozone concentration in the plasma cloud (range 0.1-0.8 ppm), sampling frequency 1 Hz; Temperature and humidity sensor: monitoring ambient temperature (control range 25-40℃) and relative humidity (control range 40-60%) to prevent excessive humidity from reducing plasma activity; Ultraviolet intensity sensor: detecting the characteristic ultraviolet absorption peak (wavelength 254 nm) of hydroxyl radicals (·OH), indirectly assessing the concentration of active groups. Sensor data is transmitted to the central processor via a CAN bus, with a sampling interval of 100 ms to ensure real-time performance.

[0058] Multiphysics Coupling Model and Prediction: An electric field-fluid-reaction coupling model is constructed, and the disinfection effect is predicted in real time by solving a system of partial differential equations. Plasma Flow Field: The plasma cloud diffusion velocity (range 0.5-1.5 m / s) is simulated based on the Navier-Stokes equations. Electric Field Distribution: The enhancement effect of alternating electric fields on the surface of materials with giant dielectric constants is calculated (local field strength 5-15 kV / cm). Surface Catalytic Reaction Field: The decomposition rate of active groups (ozone) on the catalytic surface is quantified (target value ≥10). 15 ions / m 3 / s).

[0059] The model updates its predictions every 10 seconds, and the output parameters include: the expected number of pathogens killed (≥4.0 LRV for MRSA); and the remaining disinfection time (initial value 300 seconds, dynamically adjusted).

[0060] Dynamic adjustment mechanism: The central processing unit compares the predicted value with the preset threshold (adjustment is triggered when the ozone concentration is below 0.2ppm), and dynamically adjusts the plasma generator parameters through the PID controller: Alternating electric field strength: adjusted in the range of 5-15kV with a step accuracy of 0.1kV; Electric field frequency: adjusted in the range of 10-50kHz with an accuracy of 1Hz; Plasma cloud active group concentration: the ozone generation rate is controlled by adjusting the flow rate of the working gas (argon-oxygen mixture) (range 10-30L / min).

[0061] Example adjustment process: If the model predicts that the number of kills is lower than the target value, the system automatically increases the electric field strength from 10kV to 12kV, adjusts the frequency from 30kHz to 35kHz, and increases the gas flow rate by 5L / min to ensure that the concentration of active groups recovers to the effective range within 15 seconds.

[0062] Parameter boundary protection is set (electric field strength must not exceed 15kV to prevent arcing); if sensor data is abnormal (temperature exceeds 45℃), a safety mode is automatically triggered, reducing power and triggering an alarm. All adjustment logs are recorded in the database for subsequent disinfection effect tracking and model optimization.

[0063] 105. Termination module, used to complete the disinfection cycle: When the predetermined number of pathogens killed is reached, the disinfection process is automatically terminated, and the terminal disinfection of the nursing bed unit is completed.

[0064] It should be noted that during the collaborative disinfection process (step 103), the concentration of active microorganisms on the surface of the nursing bed is monitored in real time using an embedded ATP bio-fluorescence detector (response time ≤ 15 seconds), and data is collected every 60 seconds.

[0065] Simultaneously, a microbial sampler (contact dish method) was used to perform targeted sampling on key areas such as bed rails and mattresses (sampling area 25cm²). 2 Every 120 seconds, the cells are fed into a rapid culture module (shortening the culture time to 4 hours) for colony counting verification.

[0066] Calculation and judgment of the number of pathogens killed: The central processing unit calculates the number of pathogens killed based on real-time monitoring data (formula: N=lg average number of colonies before disinfection-lg average number of colonies after disinfection).

[0067] Preset safety thresholds: For common vegetative bacteria (E. coli), a kill count ≥ 4.0 is required; for drug-resistant bacteria (MRSA), a kill count ≥ 5.0 is required. Example: If the colony count before disinfection is 10... 6 CFU / cm 2 After disinfection, the temperature dropped to 10. 2 CFU / cm 2 If the kill count is N = 6 - 2 = 4.0, then the termination criterion is met.

[0068] Automatic termination and safety verification: When the system detects that three consecutive sampling data have reached the preset kill log number (≥4.0), the termination procedure is triggered: the non-equilibrium plasma generator is immediately shut down and the alternating electric field output is stopped; the internal circulation fan is started for 30 seconds to disperse residual active groups (ozone concentration drops to a safe value <0.1ppm); and a disinfection completion signal is output (audio-visual prompt + cloud log recording).

[0069] After termination, a final safety verification is performed: 5 surface points are randomly selected for ATP testing, and all points are required to have an RLU value ≤ 50 (meeting medical environment cleaning standards); if any point exceeds the standard, the system will automatically restart the local disinfection cycle (only for areas that do not meet the standard, duration 60 seconds).

[0070] Key parameters are recorded throughout the process: disinfection duration (typically 180-300 seconds), peak electric field strength (12kV), final kill count (4.2), and energy consumption (0.15kWh). A disinfection report is generated and uploaded to the hospital infection management system, including disinfection time, operator ID, nursing bed number, and biomonitoring results.

[0071] In this embodiment of the invention, a non-equilibrium plasma cloud is combined with an alternating electric field to form a gas-electric integrated composite disinfection field. This overcomes the limitations of traditional single disinfection methods, enabling comprehensive and thorough disinfection of the nursing bed unit, thus improving the comprehensiveness and effectiveness of disinfection. After the active groups in the plasma cloud come into contact with the functionalized surface, they decompose under catalysis to produce highly active decomposition products, which can efficiently kill pathogens. Real-time monitoring of disinfection environmental parameters, such as ozone concentration, temperature, humidity, and ultraviolet intensity, with a high sampling frequency, ensures real-time control of various indicators during the disinfection process. Based on sensor data and the prediction results of a multi-physics coupling model, a PID control system is used to... The controller precisely adjusts the frequency and intensity of the alternating electric field, as well as the concentration distribution of active groups in the plasma cloud, to achieve precise control of the disinfection process. During the generation of the composite disinfection field, the generator casing is grounded and wrapped with an insulating medium to prevent leakage risks. The system automatically monitors ambient humidity to avoid reduced discharge efficiency due to excessive humidity. It also monitors the concentration of active groups in real time to prevent material corrosion or adverse environmental impacts caused by excessive concentration. When the predetermined number of pathogens killed is reached, the system automatically terminates the disinfection process and generates a detailed disinfection report, including key parameters such as disinfection time, operator ID, nursing bed number, and biological monitoring results. This report is then uploaded to the hospital infection management system for easy management and traceability of disinfection effectiveness by operators.

[0072] Please see Figure 2 Another embodiment of the terminal disinfection system for nursing bed units in this invention includes:

[0073] 101. Generation module, used to generate a composite disinfection field: A plasma cloud rich in active groups and an alternating electric field are simultaneously generated in the space around the nursing bed unit by a non-equilibrium plasma generator, forming a gas-electric integrated composite disinfection field.

[0074] Specifically, a working gas is supplied to a non-equilibrium plasma generator, and the flow rate and proportion of the working gas are adjusted to generate a pretreatment gas with specific component parameters. A high-voltage, high-frequency electric field is applied to the pretreatment gas to cause the gas molecules to ionize and dissociate, producing an ionized gas containing reactive oxygen species and reactive nitrogen species. By controlling the discharge power, frequency, and gas flow rate, the ionized gas forms a stable and uniformly concentrated plasma cloud in the space surrounding the nursing bed unit, where the plasma cloud serves as a source of active groups. The alternating electromagnetic field radiated in space by the high-voltage, high-frequency electric field is coupled with the plasma cloud to form a composite disinfection field that simultaneously contains chemically active components and physical field effects.

[0075] It should be noted that the working gas preparation and conditioning: a mixture of nitrogen (N2) and oxygen (O2) is used as the working gas. The gas flow rate is precisely controlled within the range of 10-15 standard liters per minute (L / min) using a mass flow controller (MFC), and the volume ratio of N2 to O2 is adjusted to 4:1. This mixed gas serves as a pretreatment gas, and its specific composition parameters are designed to optimize the subsequent plasma generation efficiency and the types of active groups.

[0076] Gas ionization and generation of reactive groups: The pretreated gas is introduced into the discharge region of a non-equilibrium plasma generator. A high-voltage, high-frequency electric field is applied to the discharge region, with parameters typically set to an AC peak voltage of 5-8 kV and a frequency of 20-30 kHz. Under this strong electric field, gas molecules (O2, N2) undergo ionization and dissociation, generating reactive oxygen species (ROS) including ozone (O3) and superoxide anion (O2). - A mixture of ionized gas containing nitrogen species (NO) and reactive nitrogen species (RNS).

[0077] Plasma cloud formation and control: By precisely controlling the discharge power (maintained within the range of 150-200W) and the set gas flow rate (12L / min), the ionized gas can be ejected uniformly and stably from the generator nozzle.

[0078] Ultimately, a stable and uniformly concentrated pale blue plasma cloud forms around the nursing bed unit. This plasma cloud serves as a source of active groups, and the concentration of active substances (O3, ·OH free radicals, etc.) within it must reach an effective disinfection level. The final formation of the composite disinfection field: The aforementioned high-voltage, high-frequency electric field itself will generate an alternating electromagnetic field through spatial radiation.

[0079] The physical field couples with the plasma cloud of chemical products, together forming a gas-electric integrated composite disinfection field that simultaneously contains chemically active components (active groups) and physical field effects (alternating electromagnetic field). This composite disinfection field can perform three-dimensional and efficient disinfection of the nursing bed unit and its surrounding environment.

[0080] 102. Excitation module, used to activate field-induced catalysis: The giant dielectric constant functional material pre-placed on the surface of the nursing bed is excited by an alternating electric field, so that its surface generates extremely high polarization intensity, and a functionalized surface with enhanced catalytic activity is obtained; the giant dielectric constant functional material is a rare earth element-doped strontium titanate ceramic material, and its polarization intensity generated under the action of an alternating electric field is 2-3 orders of magnitude higher than that of conventional materials.

[0081] Specifically, the alternating electric field in the composite disinfection field is guided to a pre-placed region of a giant dielectric constant functional material on the surface of the nursing bed, forming an excitation electric field with specific spatial distribution characteristics. Under the action of the excitation electric field, the giant dielectric constant functional material undergoes dielectric polarization, generating a transient polarization intensity 2-3 orders of magnitude higher than that of conventional materials, forming a polarized surface with non-equilibrium characteristics. By controlling the frequency and intensity of the excitation electric field, a stable high-density surface charge distribution is generated on the polarized surface, obtaining a functionalized surface with reconstructed surface electronic states. The functionalized surface exhibits enhanced adsorption capacity and catalytic activity for active groups in the plasma, and its surface catalytic reaction rate is more than 10 times higher than that in the unpolarized state. The functionalized surface serves as the catalytic reaction site for subsequent synergistic disinfection steps, used to catalytically decompose active groups in the plasma.

[0082] It should be noted that rare earth element-doped strontium titanate (SrTiO3) ceramic material (dysprosium-doped strontium titanate) is pre-embedded in key surfaces such as the headboard, footboard, and guardrails of the nursing bed. Under the action of an alternating electric field, the polarization intensity of this material can reach 100-1000 times (i.e., 2-3 orders of magnitude) that of conventional materials.

[0083] After the non-equilibrium plasma generator is started, the alternating electric field (frequency 20-30kHz, electric field strength 8-10kV / cm) it generates is guided to the surface of the nursing bed through electrodes of a specific shape, precisely covering these high dielectric constant functional material regions, forming a spatially uniform excitation electric field.

[0084] Dielectric polarization and surface activation: Under the aforementioned excitation electric field, the giant dielectric constant material undergoes intense dielectric polarization. Its transient polarization intensity can reach approximately 0.15 C / m within microseconds. 2 (For comparison, the polarization intensity of ordinary ceramics is typically around 10) -3 C / m 2 This creates a polarized surface with non-equilibrium characteristics. By precisely controlling the frequency (stabilized at around 25 kHz) and intensity (maintained at 9 kV / cm) of the excitation electric field, a stable and high-density surface charge distribution is formed on this polarized surface, with a charge surface density reaching 10-1. 14 charges / cm 2 This allows for the reconstruction of the electronic states on the material surface, resulting in a functionalized surface.

[0085] Enhanced Catalytic Performance: This functionalized surface exhibits extremely strong adsorption capacity for active groups (ozone, nitrogen oxides) in plasma clouds, with an adsorption capacity that is an order of magnitude higher than that of the unpolarized state. More importantly, under the same plasma environment, the reaction rate for the catalytic decomposition of active groups on its surface is significantly increased by more than 10 times compared to the unpolarized state (the generation rate of hydroxyl radicals increases from 0.05 μmol / (min·cm⁻¹)).2 Increased to 0.6 μmol / (min·cm) 2 )).

[0086] Thus, the functionalized surface is successfully prepared as a highly efficient catalytic reaction site, which can be used in the subsequent synergistic disinfection step to catalyze the decomposition of plasma active groups and generate highly active substances.

[0087] 103. Killing Module, used for synergistic disinfection: It brings the active groups in the plasma cloud into contact with the functionalized surface, and decomposes them under catalysis to produce highly active decomposition products, thereby achieving efficient killing of surface pathogens; the highly active decomposition products include substances with strong oxidizing properties such as atomic oxygen and hydroxyl radicals;

[0088] Specifically, the plasma cloud in the composite disinfection field is guided to the functionalized surface, causing gaseous active groups to form an adsorbed active group layer on the functionalized surface. The high-density surface charge distribution of the functionalized surface catalyzes the decomposition of the adsorbed active groups, generating highly active decomposition products, including atomic oxygen and hydroxyl radicals. By controlling the polarization intensity and plasma cloud concentration of the functionalized surface, the highly active decomposition products form a uniformly distributed active decomposition product diffusion field on the nursing bed surface. The atomic oxygen and hydroxyl radicals in the active decomposition product diffusion field react with pathogen biomolecules to achieve highly efficient killing of surface pathogens.

[0089] It should be noted that the previously formed composite disinfection field (including an active group plasma cloud and an alternating electric field) and the activated functionalized surface of the nursing bed (composed of a giant dielectric constant material with an extremely high surface charge density, reaching 10) are also included. 14 charges / cm 2 Based on this, the system first guides a plasma cloud rich in reactive oxygen species (ROS) and reactive nitrogen species (RNS) to the surface of the nursing bed. These gaseous active groups (ozone O3, nitrogen oxides NO) x Under the extremely high adsorption capacity of the functionalized surface, an adsorbed active group layer is rapidly formed on its surface, and its adsorption density can be increased by an order of magnitude compared with ordinary surfaces.

[0090] Catalytic Decomposition and Generation of Highly Active Products: The high-density surface charge of functionalized surfaces acts as a powerful catalytic center, efficiently catalyzing the decomposition of adsorbed active groups. This process generates highly active decomposition products such as atomic oxygen (·O) and hydroxyl radicals (·OH) at extremely high concentrations. Under optimized polarization intensity (maintaining a surface potential difference of approximately +1.5V) and plasma cloud active group concentration (maintaining an ozone concentration of 100-150 ppm), the generation rate of these highly active substances can be increased by more than 10 times compared to conventional catalytic processes (the generation rate of ·OH increases from the conventional 0.05 μmol / (min·cm)).2 Increased to 0.6 μmol / (min·cm) 2 )).

[0091] Formation of a diffusion field and pathogen elimination: By precisely controlling the polarization intensity of the functionalized surface and the supply concentration of the plasma cloud, the generated highly active decomposition products (·O and ·OH) can rapidly diffuse across the entire nursing bed surface, forming a uniformly distributed active decomposition product diffusion field. The atomic oxygen and hydroxyl radicals in this diffusion field possess extremely strong oxidizing properties, rapidly undergoing irreversible oxidation reactions with the proteins, lipids, and nucleic acids of pathogens (bacteria, viruses), thereby achieving highly efficient elimination of surface pathogens within an exposure time of 60-120 seconds, with a log reduction value exceeding 6.

[0092] 104. Control Module for Dynamic Optimization: This module monitors disinfection environment parameters in real time using sensors and predicts the disinfection process based on a multiphysics coupling model. It then dynamically adjusts the output parameters of the non-equilibrium plasma generator based on the prediction results. The multiphysics coupling model simultaneously considers the interactions between plasma flow, electric field distribution, and surface catalytic reactions, predicting the disinfection effect in real time by solving the coupled partial differential equations. Dynamic adjustment includes optimizing the frequency and intensity of the alternating electric field and the concentration distribution of active groups in the plasma cloud based on the prediction results.

[0093] Specifically, a multi-parameter sensor array arranged within the nursing bed unit space collects multi-dimensional environmental parameters in real time, including active group concentration, electric field strength, and surface temperature, generating a real-time environmental status dataset. This dataset is then input into a multi-physics coupling prediction model, which simultaneously solves the plasma transport equation, electric field distribution equation, and surface reaction kinetic equation to generate a disinfection process prediction result containing the current disinfection efficiency and estimated completion time. Based on a comparative analysis of the disinfection process prediction result and the preset disinfection target, an optimized control instruction set containing frequency modulation parameters, power adjustment parameters, and gas flow rate control parameters is generated. This optimized control instruction set is fed back to the control system of the non-equilibrium plasma generator, adjusting its discharge parameters and gas supply parameters in real time to maintain optimal disinfection efficiency in the composite disinfection field. The multi-physics coupling prediction model achieves its prediction function through the coupled solution of physical equations, without relying on machine learning algorithms or big data training models.

[0094] It should be noted that a multi-parameter sensor array (containing 8-12 monitoring points) is deployed within the nursing bed unit space, collecting environmental data every 500 milliseconds. The sensors monitor the concentration of active radicals (ozone O3 target maintained at 120±15ppm), alternating electric field strength (maintained at 9.5±0.5kV / cm), and functionalized surface temperature (controlled at 35±2°C) in real time, generating a real-time environmental status dataset.

[0095] Multiphysics Coupled Prediction: Real-time datasets are input into the multiphysics coupled prediction model. This model performs real-time predictions by simultaneously solving the following core partial differential equations: Plasma transport equations: describing the spatial distribution and temporal evolution of active groups; Electric field distribution equations: calculating the intensity distribution of alternating electric fields in complex environments; Surface reaction kinetics equations: quantifying the catalytic reaction rate of functionalized surfaces.

[0096] By solving these equations, the model can predict that the current disinfection efficiency is 4.2 log reduction / hour, and estimate that it will take another 85 seconds to reach the target number of kills.

[0097] Optimization Command Generation and Dynamic Adjustment: Based on the predicted results (current efficiency slightly lower than the preset 4.5 log / h), the model generates an optimized control command set: fine-tuning the electric field frequency from 25 kHz to 26.5 kHz, increasing the discharge power from 180 W to 195 W, and simultaneously increasing the working gas flow rate from 12 L / min to 13.5 L / min. This command set is fed back to the control system of the non-equilibrium plasma generator in real time, immediately adjusting its output parameters to restore the concentration of active groups and electric field strength of the composite disinfection field to the optimal range, ensuring that the disinfection efficiency is always maintained at its peak.

[0098] 105. Termination module, used to complete the disinfection cycle: When the predetermined number of pathogens killed is reached, the disinfection process is automatically terminated, and the terminal disinfection of the nursing bed unit is completed.

[0099] Specifically, based on the disinfection process prediction results output by the multiphysics coupling model, the current number of pathogens killed is calculated in real time to generate disinfection progress assessment data. The disinfection progress assessment data is continuously compared with the predetermined target number of pathogens killed, and a disinfection completion verification result is generated when a predetermined threshold is reached. Based on the disinfection completion verification result, a system shutdown control command is generated, which includes a power easing program for the non-equilibrium plasma generator and an electric field intensity decay scheme. The system shutdown control command is executed by first gradually reducing the output power and electric field intensity of the plasma generator to smoothly release the polarization state of the giant dielectric constant functional material surface, and then completely shutting off the gas supply and power system. After the disinfection process is terminated, the ventilation system is maintained for a predetermined time to ensure complete decomposition of residual active groups and generate a final disinfection completion confirmation signal. The power easing program and electric field intensity decay scheme ensure that the catalytic activity of the functional material surface decays smoothly, avoiding sudden changes in surface state caused by sudden shutdown.

[0100] It should be noted that, based on the real-time prediction output of the multiphysics coupling model, the system calculates the current pathogen reduction log. When the model's predicted value reaches 6.2 log, disinfection progress assessment data is generated. This data is continuously compared with the predetermined target reduction log (6.0 log). Once the threshold (≥6.0 log) is reached or exceeded, the system immediately generates a disinfection completion verification result, confirming that the disinfection target has been achieved.

[0101] Generation and execution of shutdown command: Based on the verification results, the system automatically generates a system shutdown control command. This command includes a detailed power descent program (linearly reducing the discharge power from 200W to 0W within 180 seconds) and an electric field strength decay scheme (smoothly reducing the electric field strength from 9kV / cm to below 0.5kV / cm within 120 seconds).

[0102] Upon execution of this instruction, the non-equilibrium plasma generator first begins to gradually reduce its output power and electric field strength. This gradual reduction process ensures that the polarization state of the giant dielectric constant functional material on the surface of the nursing bed can be smoothly released, avoiding the instantaneous release of surface charge or abrupt changes in material stress caused by a sudden drop in field strength, and its surface catalytic activity gradually decreases accordingly.

[0103] System shutdown and ventilation purification: After the power and field strength drop below the safety threshold, the system completely shuts off the working gas supply and high-voltage power supply. After the disinfection process is terminated, the ventilation system continues to run for at least 5 minutes to ensure that any trace reactive groups (ozone, free radicals) that may remain in the disinfected environment are completely removed and decomposed. Subsequently, the system generates a final disinfection completion confirmation signal.

[0104] Disinfection efficiency is usually expressed as the log reduction, and its calculation formula is as follows:

[0105] ,

[0106] in, It is the initial number of pathogens. This represents the number of pathogens surviving at time t. When LR ≥ 6, i.e. At that time, it was considered that the disinfection was qualified.

[0107] 106. Maintenance module, used to initiate a residual active group neutralization procedure after the disinfection process is terminated: By controlling the temperature and humidity parameters in the nursing bed unit environment and introducing a specific concentration of neutralizing agent vapor, a neutralization reaction occurs with any remaining active groups, generating harmless neutralized products; Material stability restoration treatment is implemented: After completing the neutralization procedure, a restorative electric field of a specific frequency is applied to the giant dielectric constant functional material to eliminate the residual polarization effect accumulated during the disinfection process, restoring the material to its initial stable state; Disinfection efficacy verification is performed: Samples are taken from the surface of the disinfected nursing bed using biological or chemical indicators. The process involves several steps: First, generating disinfection effectiveness verification data. Second, establishing a digital archive of the disinfection process: integrating and recording key parameters, predicted progress, completion verification results, and effectiveness verification data to generate a traceable disinfection efficacy verification report. Third, implementing system self-checks and maintenance warnings: based on the operational data of this disinfection process, evaluating the performance of the non-equilibrium plasma generator, sensor system, and electric field generation device, and generating equipment maintenance warning information. Fourth, using harmless neutralization products as indicators of environmental safety. Finally, the disinfection efficacy verification report and equipment maintenance warning information serve as outputs of the disinfection quality management system.

[0108] It should be noted that after the main disinfection process is completed, the system first adjusts the temperature and humidity of the nursing bed unit environment (temperature maintained at 25±2°C, relative humidity controlled at 60±5%) to create suitable conditions for the neutralization reaction. A dedicated atomizing device introduces ascorbic acid vapor at a concentration of 200 ppm into the space as a neutralizing agent. This neutralizing agent vapor reacts with any remaining highly oxidizing reactive groups (ozone, hydroxyl radicals) in the environment, producing harmless neutralization products such as water and carbon dioxide. This process lasts approximately 10 minutes until the sensor detects that the concentration of reactive groups in the environment has dropped below the safe threshold (ozone <0.1 ppm).

[0109] Functional Material Stability Restoration: After the neutralization procedure, the pre-placed high dielectric constant functional material (strontium-doped dysprosium titanate ceramic) on the nursing bed surface undergoes a restorative treatment. A low-frequency (50Hz), low-intensity (1.5kV / m) alternating electric field is applied through electrodes on the material surface for approximately 5 minutes. This treatment effectively eliminates the residual polarization effect accumulated during the disinfection process, restoring its dielectric properties to their initial stable state, preparing it for the next disinfection operation.

[0110] Biological indicators (containing ≥1.0×10⁻⁶) were used. 6 CFU (Bacillus subtilis var. niger) indicator tablets and chemical indicators (colorimetric cards sensitive to hydroxyl radicals) are placed at key points on the surface of the nursing bed (headboard, footboard, and guardrails). After disinfection, samples are taken for culture and testing. No colonies should grow on the biological indicator, and the color change of the chemical indicator should meet the preset standard, thereby generating validation data to confirm that the log reduction value reaches 6 or higher.

[0111] Establish a digital archive of the disinfection process: The system automatically integrates the key parameters (plasma concentration, electric field strength, disinfection time), disinfection process prediction results, completion verification results, and effectiveness verification data into a complete and traceable disinfection efficacy verification report.

[0112] The system performs self-checks and maintenance warnings: Based on the data from this operation, the system evaluates the performance of the non-equilibrium plasma generator, sensor array, and electric field generation device. If the analysis finds that certain parameters (electrode wear, sensor calibration deviation) are close to the maintenance threshold, a maintenance warning is generated to prompt preventative maintenance.

[0113] In this embodiment of the invention, the gas-electric integrated composite disinfection field simultaneously incorporates chemically active components and physical field effects. Compared to single disinfection methods, it can attack pathogens from multiple dimensions, significantly improving disinfection efficiency. Active groups can directly destroy the biomolecular structure of pathogens, while the alternating electromagnetic field can affect the physiological functions of pathogens. The synergy of these two elements enables highly efficient pathogen elimination in a short time. By activating the giant dielectric constant functional material on the surface of the nursing bed, extremely high polarization intensity is generated, resulting in a functionalized surface with enhanced catalytic activity. This functionalized surface exhibits enhanced adsorption capacity and catalytic activity for active groups in plasma, rapidly generating highly active decomposition products, further improving the disinfection effect. Real-time monitoring of disinfection environment parameters and prediction of the disinfection process based on a multi-physics coupling model, along with dynamic adjustment of the output parameters of the non-equilibrium plasma generator (such as the frequency and intensity of the alternating electric field and the concentration distribution of active groups in the plasma cloud), ensures that the disinfection process remains in an optimal state, adapting to different disinfection environments and pathogen conditions, thus improving the reliability and stability of disinfection. Based on the multi-physics coupling model, the pathogen kill logarithm is calculated in real time. When a predetermined threshold is reached, the disinfection process is automatically terminated, and a power descent program and electric field intensity attenuation scheme are implemented. Ensuring a smooth decay of the catalytic activity on the surface of functional materials and avoiding abrupt changes in surface state caused by sudden shutdowns enables precise termination of the disinfection process and safe system shutdown. After the disinfection process is terminated, temperature and humidity parameters in the nursing bed unit environment are controlled, and a specific concentration of neutralizing agent vapor is introduced to neutralize any remaining active groups, generating harmless neutralization products. This ensures a safe disinfection environment and prevents harm to medical staff and patients. Key parameters during the disinfection process, disinfection progress prediction results, disinfection completion verification results, and disinfection effect verification data are integrated and recorded to generate a traceable disinfection efficacy verification report. This facilitates quality monitoring and evaluation of the disinfection process and provides data support for subsequent disinfection strategy optimization.

[0114] Figure 3 This is a schematic diagram of the structure of a terminal disinfection device for a nursing bed unit according to an embodiment of the present invention. The terminal disinfection device 200 for the nursing bed unit can vary considerably due to differences in configuration or performance. The device 200 includes a transmitter 201, a receiver 202, and a processor 203. The processor 203 can also be a controller. Figure 3 The device is referred to as "controller / processor 203". Optionally, the device 200 may also include a modem processor 205, wherein the modem processor 205 may include an encoder 206, a modulator 207, a decoder 208, and a demodulator 209.

[0115] In one example, transmitter 201 modulates (e.g., analog-to-analog conversion, filtering, amplification, and up-conversion, etc.) the output sample and generates an uplink signal, which is transmitted via an antenna to an access network device. On the downlink, the antenna receives the downlink signal transmitted by the access network device. Receiver 202 modulates (e.g., filtering, amplification, down-conversion, and digitization, etc.) the signal received from the antenna and provides an input sample. In modem processor 205, encoder 206 receives traffic data and signaling messages to be transmitted on the uplink and processes (e.g., formatting, encoding, and interleaving) the traffic data and signaling messages. Modulator 207 further processes (e.g., symbol mapping and modulation) the encoded traffic data and signaling messages and provides an output sample. Demodulator 209 processes (e.g., demodulates) the input sample and provides a symbol estimate. Decoder 208 processes (e.g., deinterleaving and decoding) the symbol estimate and provides decoded data and signaling messages to device 200. Encoder 206, modulator 207, demodulator 209, and decoder 208 can be implemented by a combined modem processor 205. These units process data according to the radio access technology used by the radio access network (e.g., LTE and other evolved systems access technologies). It should be noted that when device 200 does not include modem processor 205, the aforementioned functions of modem processor 205 can also be performed by processor 203.

[0116] The processor 203 controls and manages the operation of the device 200, and is used to execute the processing procedures performed by the device 200 in the above embodiments of this disclosure. For example, the processor 203 is also used to execute various steps of the transmitting or receiving device in the above method embodiments, and / or other steps of the technical solutions described in the embodiments of this disclosure.

[0117] Furthermore, the device 200 may also include a memory 204 for storing program code and data for the device 200.

[0118] Understandable Figure 3 Only a simplified design of device 200 is shown. In practical applications, device 200 can include any number of transmitters, receivers, processors, modem processors, memory, etc., and all devices that can implement the embodiments of this disclosure are within the protection scope of the embodiments of this disclosure.

[0119] The present invention also provides a terminal disinfection device for a nursing bed unit, the terminal disinfection device for a nursing bed unit including a memory and a processor, the memory storing computer-readable instructions, and when the computer-readable instructions are executed by the processor, the processor performs the steps of the terminal disinfection system for the nursing bed unit in the above embodiments.

[0120] The present invention also provides a computer-readable storage medium, which can be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium, wherein the computer-readable storage medium stores instructions that, when executed on a computer, cause the computer to perform the steps of the terminal disinfection system of the nursing bed unit.

[0121] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0122] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0123] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A care bed unit terminal disinfection system, characterized in that, The system includes a generation module, an excitation module, a sterilization module, a control module, and a termination module. The generation module comprises a non-equilibrium plasma generator and an alternating electric field generator. The generated alternating electric field directly drives the excitation module, which is physically installed on and around the surface of the nursing bed unit. The sterilization module is achieved through spatial contact between the plasma cloud generated by the generation module and the functionalized surface of the excitation module. The control module provides input signals to the termination module, and the control output terminal of the termination module is connected to the enable terminal of the generation module. The generation module is used to simultaneously generate a plasma cloud and an alternating electric field in the space surrounding the nursing bed unit, forming a composite disinfection field that integrates gas and electricity. The excitation module is used to generate polarization intensity on the surface of a pre-set giant dielectric constant functional material to obtain a functionalized surface. The annihilation module is used to bring the active groups in the plasma cloud into contact with the functionalized surface, and decompose them under catalysis to generate highly active decomposition products, including atomic oxygen and hydroxyl radicals. The control module is used to monitor disinfection environment parameters in real time and predict the disinfection process based on a multiphysics coupling model. It dynamically adjusts the output parameters of the non-equilibrium plasma generator according to the prediction results. The dynamic adjustment includes optimizing the frequency and intensity of the alternating electric field and the concentration distribution of active groups in the plasma cloud in real time according to the prediction results. The multiphysics coupling model considers the interaction between plasma flow, electric field distribution and surface catalytic reaction, and predicts the disinfection effect in real time by solving the coupled partial differential equations. The termination module is used to automatically terminate the disinfection process and complete the terminal disinfection of the nursing bed unit when the predetermined number of pathogens killed is reached.

2. The nursing bed unit terminal sterilization system according to claim 1, characterized by, include: A working gas is supplied, and the flow rate and proportion of the working gas are adjusted to generate a pretreated gas. A high-voltage, high-frequency electric field is applied to the pretreated gas to cause the gas molecules to ionize and dissociate, producing ionized gas; By adjusting the discharge power, frequency, and gas flow rate, the ionized gas forms a plasma cloud with a stable distribution and uniform concentration in the space surrounding the nursing bed unit, and the plasma cloud serves as a source of active groups. The alternating electromagnetic field generated by the high-voltage, high-frequency electric field in space is coupled with the plasma cloud to form a composite disinfection field.

3. The nursing bed unit terminal sterilization system according to claim 2, characterized by, include: The alternating electric field in the composite disinfection field is guided to the pre-placed high dielectric constant functional material area on the surface of the nursing bed to form an excitation electric field; The giant dielectric constant functional material undergoes dielectric polarization under the action of the excitation electric field, generating transient polarization intensity and forming a polarized surface; By controlling the frequency and intensity of the excitation electric field, a stable high-density surface charge distribution is generated on the polarized surface, thereby obtaining a functionalized surface with reconstructed surface electronic states.

4. The nursing bed unit terminal sterilization system according to claim 3, characterized by, include: The plasma cloud in the composite disinfection field is guided to the functionalized surface, so that the gaseous active groups form an adsorbed active group layer on the functionalized surface; The high-density surface charge distribution of the functionalized surface catalyzes the decomposition of the adsorbed active groups, generating highly active decomposition products including atomic oxygen and hydroxyl radicals. By adjusting the polarization intensity and plasma cloud concentration of the functionalized surface, the highly active decomposition products form an active decomposition product diffusion field on the surface of the nursing bed.

5. The nursing bed unit terminal sterilization system according to claim 4, characterized by, include: Real-time acquisition of multi-dimensional environmental parameters, including active group concentration, electric field strength, and surface temperature, generates a real-time environmental status dataset. The real-time environmental state dataset is input into the multiphysics coupling prediction model, and the disinfection process prediction results are generated by simultaneously solving the plasma transport equation, electric field distribution equation and surface reaction kinetic equation. Based on the comparative analysis of the disinfection process prediction results and the preset disinfection targets, an optimized control instruction set is generated; The optimized control instruction set is fed back to the control system of the non-equilibrium plasma generator to adjust its discharge parameters and gas supply parameters in real time, so that the composite disinfection field maintains the optimal disinfection efficiency.

6. The nursing bed unit terminal sterilization system according to claim 5, characterized by, include: Based on the disinfection process prediction results output by the aforementioned multiphysics coupling model, the number of pathogens killed that has been achieved in real time is calculated, and disinfection progress assessment data is generated. The disinfection progress assessment data is continuously compared with the predetermined target pathogen kill log, and a disinfection completion verification result is generated when the predetermined threshold is reached. Based on the disinfection completion verification results, a system shutdown control command is generated, which includes the power descent program and electric field intensity decay scheme of the non-equilibrium plasma generator. Execute the system shutdown control command to gradually reduce the output power and electric field intensity of the plasma generator, so that the polarization state on the surface of the giant dielectric constant functional material is smoothly released, and then completely shut down the gas supply and power system. After the disinfection process is terminated, the ventilation system is kept running for a predetermined time to ensure that any residual active groups are completely decomposed and to generate a final disinfection completion confirmation signal.

7. The nursing bed unit terminal sterilization system according to claim 6, characterized by, The disinfection process prediction result includes a current disinfection efficiency and a predicted completion time, and the disinfection efficiency is : wherein, is the initial pathogen quantity, is the quantity of pathogens surviving at time t.

8. The nursing bed unit terminal sterilization system according to claim 6, characterized by, It also includes a maintenance module, used to initiate a residual active group neutralization procedure after the disinfection process is terminated, implement material stability restoration treatment, verify disinfection efficacy, establish a digital archive of the disinfection process, and perform system self-checks and maintenance alerts. By controlling the temperature and humidity parameters in the nursing bed unit environment and introducing neutralizing agent vapor, a neutralization reaction is carried out with the residual active groups to generate harmless neutralized products. After the neutralization process is completed, a restorative electric field is applied to the giant dielectric constant functional material to eliminate the residual polarization effect accumulated during the sterilization process and restore the material to its initial stable state. Biological or chemical indicators are used to sample and test the surface of the disinfected nursing bed to generate disinfection effectiveness verification data; The key parameters in the disinfection process, the prediction results of the disinfection process, the verification results of the disinfection completion, and the verification data of the disinfection effect are integrated and recorded to generate a disinfection efficacy verification report. Based on the operational data from this disinfection process, the performance of the non-equilibrium plasma generator, sensor system, and electric field generation device was evaluated, and equipment maintenance early warning information was generated.

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