Ward inspection robot data acquisition and processing system

Abstract

The invention discloses a ward inspection robot data acquisition and processing system, and relates to the technical field of hospital monitoring. According to the ward inspection robot data acquisition and processing system, a ward inspection robot is deployed for automatic inspection, and sensors are arranged for acquiring environmental data in a ward, including temperature, humidity, oxygen content, carbon dioxide content and dust content; the robot transmits environment data collected in real time to the data processing subsystem through the built-in data receiving and transmitting subsystem, the data processing subsystem processes and analyzes the collected environment data, the ward environment quality index is obtained through calculation, the management level of the medical environment can be improved, and through real-time monitoring and comprehensive evaluation, the environment quality index of the ward can be improved. Scientific environment data are provided for medical staff, a safer and more comfortable ward living environment is provided for patients, and meanwhile the sensing and coping capacity of the medical staff to environment abnormity is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of hospital monitoring, and in particular to a data acquisition and processing system for a ward inspection robot. Background Art

[0002] For hospitals with inpatient departments, daily monitoring of inpatients is one of the most tedious tasks. This work requires doctors and nurses to regularly visit the beds of each patient to check and inquire about the patient's physical condition, and check the readings of various monitoring instruments installed next to the patient, so as to actively take rescue measures to help the patient out of danger when the patient has an abnormal condition or the readings of the monitoring instrument exceed the predetermined range.

[0003] The Chinese invention patent with authorization announcement number CN104573385B discloses a robot system for ward data collection, including a positioning device, a motor drive device, a data acquisition device, a data processing device and a main controller. The data acquisition device collects instrument images of various medical instruments in the ward and personnel images of various patients. The data processing device is connected to the data acquisition device, determines the reading of the corresponding instrument based on the instrument image, and determines the physical condition of the corresponding patient according to the personnel image. The main controller is connected to the positioning device, the motor drive device and the data processing device respectively, and determines the data acquisition path of the robot system to the multiple data acquisition points according to the pre-stored multiple data acquisition point positions and the current position of the robot determined by the positioning device, sends a motor drive signal to the motor drive device according to the data acquisition path, and is also used to determine whether to issue a corresponding alarm signal according to the reading of the corresponding instrument and the physical condition of the patient, respectively, which solves the problem that the prior art still fails to achieve full-time patient monitoring and the patient will still fall into an embarrassing situation of no one to take care of him during certain periods of time.

[0004] However, the existing technology is not convenient for evaluating the environmental quality in the ward by combining temperature, humidity, oxygen content, carbon dioxide content and dust content during the inspection process, and it is difficult to optimize the internal environment of the ward.

[0005] Therefore, in response to the above problems, a ward inspection robot data collection and processing system is urgently needed. Summary of the invention

[0006] In view of the shortcomings of the prior art, the present invention provides a ward inspection robot data acquisition and processing system, which solves the problem that the prior art is inconvenient to evaluate the environmental quality in the ward by combining temperature, humidity, oxygen content, carbon dioxide content and dust content during the inspection process, and it is difficult to optimize the internal environment of the ward.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: a data acquisition and processing system for a ward inspection robot, comprising a data receiving and sending subsystem, a data acquisition subsystem, a data processing subsystem and a static storage subsystem, wherein: the data acquisition subsystem is used for the ward inspection robot to obtain environmental data in the ward and send it to the data processing subsystem when inspecting the ward according to a predetermined inspection route, and the environmental data includes temperature, humidity, oxygen content, carbon dioxide content and dust content; the data processing subsystem is used to receive and process the environmental data to calculate the ward environmental quality index, which is used to indicate the degree to which the ward is suitable for patients to live; the data receiving and sending subsystem is used to receive control instructions, and is also used to send the environmental data in the ward obtained by the data acquisition subsystem and the ward environmental quality index calculated by the data processing subsystem to a cloud server through wireless communication; the static storage subsystem is used to store ward environment preset data, and is connected to the data processing subsystem, and when the data processing subsystem processes the environmental data, the ward environment preset data is sent to the data processing subsystem.

[0008] Furthermore, the calculation formula of the ward environment quality index is as follows: In the formula, Γ i is the ward environment quality index of the i-th ward, Ψ i is the air quality coefficient of the i-th ward, Λ i is the temperature and humidity coefficient of the i-th ward, and e is a natural constant.

[0009] Furthermore, the air quality coefficient of the i-th ward is calculated by the data processing subsystem through processing the oxygen content, carbon dioxide content and dust content in the environmental data of the i-th ward. The specific process is as follows: periodically sampling the oxygen content, carbon dioxide content and dust content in the i-th ward according to the set period; processing the oxygen content, carbon dioxide content and dust content respectively to calculate the oxygen patrol content value, carbon dioxide patrol content value and dust patrol content value; and calculating the air quality coefficient of the i-th ward based on the oxygen patrol content value, carbon dioxide patrol content value and dust patrol content value.

[0010] Furthermore, the air quality coefficient of the i-th ward is calculated as follows:

[0011] In the formula, O i is the oxygen inspection content value of the i-th ward, CO i is the carbon dioxide inspection content value of the i-th ward, WC iis the dust inspection content value of the i-th ward, so is the preset oxygen content in the ward environment preset data, sco is the preset carbon dioxide content in the ward environment preset data, swc is the preset dust content in the ward environment preset data, Δyo is the preset oxygen detection allowable error value in the ward environment preset data, Δyso is the preset carbon dioxide detection allowable error value in the ward environment preset data, Δywc is the preset dust detection allowable error value in the ward environment preset data, λ1, λ2 and λ3 are the weight factors of the oxygen inspection content value, the carbon dioxide inspection content value and the dust inspection content value respectively.

[0012] Furthermore, the calculation formula for the oxygen inspection content value of the i-th ward is: The calculation formula for the carbon dioxide inspection content value of the i-th ward is: The calculation formula for the dust inspection content value of the i-th ward is: Where a=1,2,3,...,A is the number of periodic sampling, b=1,2,3,...,B is the number of samples in each periodic sampling, yqz ab is the value of the bth oxygen content during the ath periodic sampling, ΔTo is the period of periodic sampling during oxygen content inspection, coz ab is the value of the bth carbon dioxide content during the ath periodic sampling, ΔTco is the period of periodic sampling during carbon dioxide content inspection, wcz ab is the value of the bth dust content during the ath periodic sampling, and ΔTwc is the period of periodic sampling during the dust content inspection.

[0013] Furthermore, during the periodic sampling of oxygen content, it is determined whether the average oxygen content is lower than the first threshold value. If so, it is determined whether the average carbon dioxide content is greater than the second threshold value. If so, it is determined that the ward has not been ventilated for a long time, and a voice module is used to remind the user to open the window. Based on the oxygen content in the periodic sampling process, the content deviation is calculated to represent the difference in oxygen content at various locations in the ward. It is determined whether the content deviation is greater than the set deviation threshold value. If so, the ward information is obtained, and the ward information includes whether there are patients in the ward receiving oxygen. If there are patients in the ward receiving oxygen, it is determined that there is oxygen leakage, and an early warning is sent to the control platform through the data transceiver subsystem.

[0014] Furthermore, the calculation formula of content deviation is as follows: In the formula, Θ i is the content deviation of the i-th ward, is the mean oxygen content in the ath sampling period.

[0015] Furthermore, the temperature and humidity coefficient of the i-th ward is calculated by the data processing subsystem through processing the temperature and humidity in the environmental data of the i-th ward. The specific process is as follows: the temperature and humidity are periodically sampled in the i-th ward according to the set period; the temperature and humidity are processed separately to calculate the temperature patrol value and the humidity patrol value; the temperature and humidity coefficient of the i-th ward is calculated based on the temperature patrol value and the humidity patrol value.

[0016] Furthermore, the calculation formula of the temperature and humidity coefficient is as follows: Where, WSX i is the temperature and humidity coefficient of the i-th ward, Wxz i is the temperature inspection value of the i-th ward, Sxz i is the humidity inspection value of the i-th ward, ξ1 and ξ2 are the weight factors of the temperature inspection value and the humidity inspection value respectively.

[0017] Furthermore, the calculation formula for the temperature inspection value of the i-th ward is as follows: The calculation formula for the humidity inspection value of the i-th ward is as follows: Where c = 1, 2, 3, ..., C is the number of periodic sampling, wd c is the temperature at the cth periodic sampling, Twd is the period of periodic sampling during temperature inspection, Δydw is the preset temperature detection allowable error value in the ward environment preset data, yw is the preset temperature in the ward environment preset data, sd c is the humidity at the cth periodic sampling, Tsd is the period of periodic sampling during humidity inspection, Δyds is the preset humidity detection allowable error value in the ward environment preset data, and ys is the preset humidity in the ward environment preset data.

[0018] The present invention has the following beneficial effects:

[0019] (1) The ward inspection robot data acquisition and processing system deploys ward inspection robots for automated inspections and is equipped with sensors for collecting environmental data in the ward, including temperature, humidity, oxygen content, carbon dioxide content, and dust content. The robot transmits the real-time collected environmental data to the data processing subsystem through the built-in data transceiver subsystem. The data processing subsystem processes and analyzes the collected environmental data and calculates the ward environmental quality index, which helps to improve the management level of the medical environment. Through real-time monitoring and comprehensive evaluation, it provides scientific environmental data for medical staff and provides patients with a safer and more comfortable ward living environment. At the same time, it improves the medical staff's perception and response capabilities to environmental abnormalities.

[0020] (2) The data acquisition and processing system of the ward inspection robot saves the preset data of the ward environment, including the ideal environmental parameter range, in the static storage subsystem. When processing real-time data, the data processing subsystem compares it with the static storage subsystem to detect whether there is an environmental abnormality or exceeds the preset range. When the system detects that the environment is abnormal or exceeds the preset range, it can send an immediate alarm or notification to medical staff through the cloud server so that they can take appropriate measures, which helps to improve the quality of the ward environment, ensure the safety and comfort of patients, and reduce the workload of medical staff.

[0021] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 This is a flowchart of the data collection and processing system of the ward inspection robot of the present invention.

[0023] Figure 2 The present invention is a flowchart of the air quality coefficient calculation process of the ward inspection robot data acquisition and processing system.

[0024] Figure 3 This is a flow chart of the temperature and humidity coefficient calculation process of the ward inspection robot data acquisition and processing system of the present invention. DETAILED DESCRIPTION

[0025] The embodiment of the present application optimizes the internal environment of the ward through a ward inspection robot data collection and processing system, provides patients with a safer and more comfortable living environment, and improves the work efficiency of medical staff.

[0026] The overall idea of ​​the problem in the embodiment of this application is as follows:

[0027] Ward inspection robots are deployed for automated inspections and are equipped with sensors to collect environmental data in the ward, including temperature, humidity, oxygen content, carbon dioxide content, and dust content. The robot transmits the real-time collected environmental data to the data processing subsystem through the built-in data transceiver subsystem. The data processing subsystem processes and analyzes the collected environmental data and calculates the ward environmental quality index.

[0028] The data processing subsystem sends the environmental quality index and real-time data to the cloud server through the data transceiver subsystem. Medical staff can remotely monitor the ward environment through a dedicated application or online platform and issue control instructions when necessary, such as adjusting the air-conditioning temperature and humidity settings.

[0029] The static storage subsystem stores preset data of the ward environment, including the ideal range of environmental parameters. When processing real-time data, the data processing subsystem compares it with the static storage subsystem to detect whether there are any environmental anomalies or conditions beyond the preset range. When the system detects that the environment is abnormal or exceeds the preset range, it can send instant alarms or notifications to medical staff through the cloud server so that they can take appropriate measures, which will help improve the quality of the ward environment, ensure the safety and comfort of patients, and reduce the workload of medical staff.

[0030] See also Figure 1 The embodiment of the present invention provides a technical solution: a data acquisition and processing system for a ward inspection robot, comprising a data receiving and sending subsystem, a data acquisition subsystem, a data processing subsystem and a static storage subsystem, wherein: the data acquisition subsystem is used for the ward inspection robot to obtain environmental data in the ward and send it to the data processing subsystem when inspecting the ward according to a predetermined inspection route, and the environmental data includes temperature, humidity, oxygen content, carbon dioxide content and dust content; the data processing subsystem is used to receive and process the environmental data to calculate the ward environmental quality index, which is used to indicate the degree to which the ward is suitable for patients to live; the data receiving and sending subsystem is used to receive control instructions, and is also used to send the environmental data in the ward obtained by the data acquisition subsystem and the ward environmental quality index calculated by the data processing subsystem to a cloud server through wireless communication; the static storage subsystem is used to store ward environmental preset data, and is connected to the data processing subsystem, and when the data processing subsystem processes the environmental data, the ward environmental preset data is sent to the data processing subsystem.

[0031] Specifically, the calculation formula of the ward environment quality index is as follows: In the formula, Γ i is the ward environment quality index of the i-th ward, Ψ i is the air quality coefficient of the i-th ward, Λ i is the temperature and humidity coefficient of the i-th ward, and e is a natural constant.

[0032] In this implementation, the calculation formula of the ward environment quality index includes multiple parameters. By comprehensively considering these parameters, the environmental quality of the ward can be evaluated more comprehensively and accurately, rather than just based on a single indicator. This ward environment quality index calculation formula is expected to more comprehensively and accurately reflect the quality status of the ward environment by considering multiple factors, introducing nonlinear operations, and using natural constants, providing a strong reference for improving and maintaining the ward environment.

[0033] Specifically, Figure 2As shown, the air quality coefficient of the ith ward is calculated by the data processing subsystem on the oxygen content, carbon dioxide content and dust content in the environmental data of the ith ward. The specific process is as follows: in the ith ward, the oxygen content, carbon dioxide content and dust content are periodically sampled according to the set period; the oxygen content, carbon dioxide content and dust content are processed respectively to obtain the oxygen inspection content value, carbon dioxide inspection content value and dust inspection content value; the air quality coefficient of the ith ward is calculated based on the oxygen inspection content value, carbon dioxide inspection content value and dust inspection content value.

[0034] The air quality coefficient of the i-th ward is calculated as follows:

[0035] In the formula, O i is the oxygen inspection content value of the i-th ward, CO i is the carbon dioxide inspection content value of the i-th ward, WC i is the dust inspection content value of the i-th ward, so is the preset oxygen content in the ward environment preset data, sco is the preset carbon dioxide content in the ward environment preset data, swc is the preset dust content in the ward environment preset data, Δyo is the preset oxygen detection allowable error value in the ward environment preset data, Δyso is the preset carbon dioxide detection allowable error value in the ward environment preset data, Δywc is the preset dust detection allowable error value in the ward environment preset data, λ1, λ2 and λ3 are the weight factors of the oxygen inspection content value, the carbon dioxide inspection content value and the dust inspection content value respectively.

[0036] In this implementation scheme, the oxygen content, carbon dioxide content and dust content are sampled in the ward according to the set cycle, and corresponding processing is performed to obtain the inspection content value. The air quality coefficient of the ward is calculated based on the inspection content value, preset data and error tolerance value using a calculation formula. The calculation of the air quality coefficient is real-time, and the calculation results can be transmitted to the data processing subsystem in real time, and sent to the cloud server through the data transceiver subsystem to provide real-time environmental monitoring information for medical staff. When the calculated air quality coefficient exceeds the preset range, the alarm mechanism can be triggered to remind medical staff of possible environmental problems so that timely measures can be taken.

[0037] The calculation of the air quality coefficient takes into account three important factors: oxygen content, carbon dioxide content, and dust content. By weighing and comprehensively considering these factors, it more comprehensively reflects the actual air quality of the ward. Setting periodic sampling helps to monitor the changing trend of environmental data in real time, rather than just the instantaneous data at a single moment, which helps the system to more accurately understand the long-term trend and periodic fluctuations of the ward environment. The calculation formula introduces preset data of the ward environment, including preset oxygen content, carbon dioxide content, and dust content, as well as the corresponding error tolerance value, which helps the system to consider the preset standards when evaluating air quality and reduce the impact of errors on the evaluation results.

[0038] Specifically, the calculation formula for the oxygen inspection content value of the i-th ward is: The calculation formula for the carbon dioxide inspection content value of the i-th ward is: The calculation formula for the dust inspection content value of the i-th ward is: Where a=1,2,3,...,A is the number of periodic sampling, b=1,2,3,...,B is the number of samples in each periodic sampling, yqz ab is the value of the bth oxygen content during the ath periodic sampling, ΔTo is the period of periodic sampling during oxygen content inspection, coz ab is the value of the bth carbon dioxide content during the ath periodic sampling, ΔTco is the period of periodic sampling during carbon dioxide content inspection, wcz ab is the value of the bth dust content during the ath periodic sampling, and ΔTwc is the period of periodic sampling during the dust content inspection.

[0039] In this implementation scheme, this part involves the calculation formulas for the inspection content values ​​of oxygen, carbon dioxide and particulate matter, and covers the process of periodic sampling, so that the system can acquire and process environmental data more comprehensively and accurately. Through multiple periodic sampling and complex calculation formulas, it comprehensively considers the impact of different factors on the inspection content values, and provides more detailed and comprehensive data support for the calculation of the ward environmental quality index.

[0040] Specifically, during the periodic sampling of oxygen content, determine whether the average oxygen content is lower than the first threshold value. If so, determine whether the average carbon dioxide content is greater than the second threshold value. If so, determine that the ward has not been ventilated for a long time, and remind to open the window through the voice module; calculate the content deviation based on the oxygen content in the periodic sampling process to represent the difference in oxygen content at various locations in the ward; determine whether the content deviation is greater than the set deviation threshold. If so, obtain the ward information, which includes whether there are patients in the ward receiving oxygen. If there are patients in the ward receiving oxygen, it is determined that there is an oxygen leak, and send an early warning to the control platform through the data transceiver subsystem. The calculation formula for the content deviation is as follows: In the formula, Θ i is the content deviation of the i-th ward, is the mean oxygen content in the ath sampling period.

[0041] In this embodiment, the system can monitor the ventilation of the ward in real time by periodically sampling and judging the oxygen and carbon dioxide content. When the average oxygen content is lower than the first threshold and the average carbon dioxide content is greater than the second threshold, it is judged that the ward may not be ventilated for a long time, and the voice module is used to remind the window to open, which helps to improve the air quality in time.

[0042] By comprehensively considering the oxygen and carbon dioxide content, the accuracy of the judgment of ventilation status is improved. Such multi-parameter judgment can more comprehensively evaluate the ventilation status of the ward and reduce the possibility of false alarms or missed alarms.

[0043] The oxygen content deviation is calculated during the periodic sampling process to indicate the difference in oxygen content at various locations in the ward. By judging whether the oxygen content deviation is greater than the set deviation threshold, an oxygen leak can be warned. In addition, obtaining ward information, including whether there are patients receiving oxygen, enables the system to make more accurate judgments when oxygen leaks are detected, and sends warnings to the control platform through the data transceiver subsystem, which helps to take countermeasures quickly to ensure patient safety. Through the voice module and data transceiver subsystem, the system can provide instant voice prompts and warning information. This helps medical staff quickly understand the ward status, take appropriate actions, and improve the response speed to environmental abnormalities.

[0044] Specifically, Figure 3 As shown, the temperature and humidity coefficient of the i-th ward is calculated by the data processing subsystem on the temperature and humidity in the environmental data of the i-th ward. The specific process is as follows: the temperature and humidity are periodically sampled in the i-th ward according to the set period; the temperature and humidity are processed respectively to calculate the temperature inspection value and the humidity inspection value; the temperature and humidity coefficient of the i-th ward is calculated based on the temperature inspection value and the humidity inspection value.

[0045] Specifically, the calculation formula of the temperature and humidity coefficient is as follows: Where, WSX i is the temperature and humidity coefficient of the i-th ward, Wxz i is the temperature inspection value of the i-th ward, Sxz i is the humidity inspection value of the i-th ward, ξ1 and ξ2 are the weight factors of the temperature inspection value and the humidity inspection value respectively.

[0046] In this implementation scheme, the calculation of the temperature and humidity coefficient takes into account two important factors, temperature and humidity. By comprehensively considering these two factors, the temperature and humidity conditions of the ward are more comprehensively reflected. This is very important for improving the comfort level inside the ward and the quality of life of the patients. Setting periodic sampling helps to monitor the changing trend of environmental data in real time, rather than just the instantaneous data at a single moment. This helps the system to more accurately understand the long-term trends and periodic fluctuations of the ward environment. The monitoring of the temperature and humidity coefficient helps medical staff to better manage and maintain the ward environment to provide more comfortable living conditions, especially for patients who require special temperature and humidity conditions.

[0047] Specifically, the calculation formula for the temperature inspection value of the i-th ward is as follows: The calculation formula for the humidity inspection value of the i-th ward is as follows: Where c = 1, 2, 3, ..., C is the number of periodic sampling, wd c is the temperature at the cth periodic sampling, Twd is the period of periodic sampling during temperature inspection, Δydw is the preset temperature detection allowable error value in the ward environment preset data, yw is the preset temperature in the ward environment preset data, sd c is the humidity at the cth periodic sampling, Tsd is the period of periodic sampling during humidity inspection, Δyds is the preset humidity detection allowable error value in the ward environment preset data, and ys is the preset humidity in the ward environment preset data.

[0048] This implementation scheme involves a calculation formula for temperature and humidity inspection values, including periodic sampling and comparison of preset data, so that the system can acquire and process temperature and humidity environmental data more comprehensively and accurately. Through multiple periodic sampling and complex calculation formulas, the impact of different factors on the inspection values ​​is comprehensively considered, providing more detailed and comprehensive data support for the calculation of the temperature and humidity coefficients in the ward.

[0049] In summary, this application has at least the following effects:

[0050] Ward inspection robots are deployed for automated inspections and are equipped with sensors to collect environmental data in the ward, including temperature, humidity, oxygen content, carbon dioxide content, and dust content. The robot transmits the real-time collected environmental data to the data processing subsystem through the built-in data transceiver subsystem. The data processing subsystem processes and analyzes the collected environmental data and calculates the ward environmental quality index, which helps to improve the management level of the medical environment. Through real-time monitoring and comprehensive evaluation, scientific environmental data is provided to medical staff, and a safer and more comfortable ward living environment is provided to patients. At the same time, the medical staff's ability to perceive and respond to environmental abnormalities is improved.

[0051] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0052] The present invention is described with reference to flowcharts and / or block diagrams of systems, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0053] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0054] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0055] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0056] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A ward inspection robot data acquisition and processing system, characterized in that: It includes a data transceiver subsystem, a data acquisition subsystem, a data processing subsystem and a static storage subsystem, among which: The data acquisition subsystem is used for the ward inspection robot to obtain environmental data in the ward when inspecting the ward according to the established inspection route and send it to the data processing subsystem. The environmental data includes temperature, humidity, oxygen content, carbon dioxide content and dust content; The data processing subsystem is used to receive and process environmental data to calculate the ward environmental quality index, which is used to indicate the degree to which the ward is suitable for patients to live in; The data transceiver subsystem is used to receive control instructions, and is also used to send the environmental data in the ward obtained by the data acquisition subsystem and the ward environmental quality index calculated by the data processing subsystem to the cloud server through wireless communication; The static storage subsystem is used to store ward environment preset data and is connected to the data processing subsystem. When the data processing subsystem processes the environmental data, the static storage subsystem sends the ward environment preset data to the data processing subsystem.

2. A ward inspection robot data acquisition and processing system according to claim 1, characterized in that: The calculation formula of ward environment quality index is as follows: In the formula, Γ i is the ward environment quality index of the i-th ward, Ψ i is the air quality coefficient of the i-th ward, Λ i is the temperature and humidity coefficient of the i-th ward, and e is a natural constant.

3. A ward inspection robot data acquisition and processing system according to claim 2, characterized in that: The air quality coefficient of the i-th ward is calculated by the data processing subsystem by processing the oxygen content, carbon dioxide content and dust content in the environmental data of the i-th ward. The specific process is as follows: In the i-th ward, periodic sampling of oxygen content, carbon dioxide content and dust content is performed according to the set cycle; The oxygen content, carbon dioxide content and fine dust content are processed respectively to calculate the oxygen inspection content value, carbon dioxide inspection content value and fine dust inspection content value; The air quality coefficient of the i-th ward is calculated based on the oxygen inspection content value, the carbon dioxide inspection content value and the dust inspection content value.

4. A ward inspection robot data acquisition and processing system according to claim 3, characterized in that: The air quality coefficient of the i-th ward is calculated as follows: In the formula, O i is the oxygen inspection content value of the i-th ward, CO i is the carbon dioxide inspection content value of the i-th ward, WC i is the dust inspection content value of the i-th ward, so is the preset oxygen content in the ward environment preset data, sco is the preset carbon dioxide content in the ward environment preset data, swc is the preset dust content in the ward environment preset data, Δyo is the preset oxygen detection allowable error value in the ward environment preset data, Δyso is the preset carbon dioxide detection allowable error value in the ward environment preset data, Δywc is the preset dust detection allowable error value in the ward environment preset data, λ1, λ2 and λ3 are the weight factors of the oxygen inspection content value, the carbon dioxide inspection content value and the dust inspection content value respectively.

5. A ward inspection robot data acquisition and processing system according to claim 4, characterized in that: The calculation formula for the oxygen inspection content value of the i-th ward is: The calculation formula for the carbon dioxide inspection content value of the i-th ward is: The calculation formula for the dust inspection content value of the i-th ward is: Where a=1,2,3,...,A is the number of periodic sampling, b=1,2,3,...,B is the number of samples in each periodic sampling, yqz ab is the value of the bth oxygen content during the ath periodic sampling, ΔTo is the period of periodic sampling during oxygen content inspection, coz ab is the value of the bth carbon dioxide content during the ath periodic sampling, ΔTco is the period of periodic sampling during carbon dioxide content inspection, wcz ab is the value of the bth dust content during the ath periodic sampling, and ΔTwc is the period of periodic sampling during the dust content inspection.

6. A ward inspection robot data acquisition and processing system according to claim 4, characterized in that: In the process of periodically sampling the oxygen content, it is determined whether the average oxygen content is lower than the first threshold value. If so, it is determined whether the average carbon dioxide content is greater than the second threshold value. If so, it is determined that the ward has not been ventilated for a long time, and a voice module is used to remind the patient to open the window. The content deviation is calculated based on the oxygen content during periodic sampling, which is used to represent the difference in oxygen content at various locations in the ward; Determine whether the content deviation is greater than the set deviation threshold. If so, obtain the ward information, which includes whether there are patients receiving oxygen in the ward. If there are patients receiving oxygen in the ward, it is determined that there is oxygen leakage, and send an early warning to the control platform through the data transceiver subsystem.

7. A ward inspection robot data acquisition and processing system according to claim 6, characterized in that: The calculation formula of content deviation is as follows: In the formula, Θ i is the content deviation of the i-th ward, is the mean oxygen content in the ath sampling period.

8. The ward inspection robot data acquisition and processing system according to claim 2 is characterized in that: The temperature and humidity coefficient of the i-th ward is calculated by the data processing subsystem by processing the temperature and humidity in the environmental data of the i-th ward. The specific process is as follows: In the i-th ward, the temperature and humidity are sampled periodically according to the set period; Process the temperature and humidity separately to calculate the temperature inspection value and humidity inspection value; The temperature and humidity coefficients of the i-th ward are calculated based on the temperature inspection values ​​and humidity inspection values.

9. A ward inspection robot data acquisition and processing system according to claim 8, characterized in that: The calculation formula of temperature and humidity coefficient is as follows: Where, WSX i is the temperature and humidity coefficient of the i-th ward, Wxz i is the temperature inspection value of the i-th ward, Sxz i is the humidity inspection value of the i-th ward, ξ1 and ξ2 are the weight factors of the temperature inspection value and the humidity inspection value respectively.

10. A ward inspection robot data acquisition and processing system according to claim 9, characterized in that: The calculation formula for the temperature inspection value of the i-th ward is as follows: The calculation formula for the humidity inspection value of the i-th ward is as follows: Where c = 1, 2, 3, ..., C is the number of periodic sampling, wd c is the temperature at the cth periodic sampling, Twd is the period of periodic sampling during temperature inspection, Δydw is the preset temperature detection allowable error value in the ward environment preset data, yw is the preset temperature in the ward environment preset data, sd c is the humidity at the cth periodic sampling, Tsd is the period of periodic sampling during humidity inspection, Δyds is the preset humidity detection allowable error value in the ward environment preset data, and ys is the preset humidity in the ward environment preset data.

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