Pressure control method and system based on temperature identification

Abstract

The invention provides a pressure control method and system based on temperature identification, and the method comprises the following steps: obtaining the environment temperature of a space where each air bag is located, detecting the surface of each air bag, obtaining the surface temperature of each air bag, and generating a temperature distribution diagram based on the environment temperature and the surface temperature of each air bag; according to the temperature distribution diagram, determining a pressure adjustment area and pressure adjustment data of the pressure adjustment area; the invention discloses a pressure control method based on temperature identification, and the method can timely identify a potential pressure concentration area through monitoring the skin temperature change in real time, achieves the early warning, remarkably improves the timeliness and accuracy of pressure injury prevention, and effectively reduces the risk of pressure injury caused by human negligence. Precise decompression of a specific area can be achieved, the precise decompression mechanism helps to avoid the problem of excessive decompression or insufficient decompression, comfort of a patient in the decompression process is ensured, and meanwhile pressure injury is effectively prevented.

Description

Technical Field

[0001] The present invention relates to the field of pressure control technology, and in particular to a pressure control method and system based on temperature recognition. Background Art

[0002] Pressure injury (PI), commonly known as bedsores, is a common complication of patients who are bedridden for a long time or have limited mobility. This type of injury usually occurs at the bony prominence, especially the sacrum and coccyx. Due to continuous pressure, the local skin and subcutaneous tissue are ischemic and hypoxic, and eventually necrotize. Traditional preventive measures mainly rely on manual timed turning and the use of auxiliary equipment such as air mattresses, but these methods have problems such as low efficiency and difficulty in accurately controlling the decompression area.

[0003] With the development of medical monitoring technology, especially the application of skin temperature monitoring technology, a new perspective has been provided for the early identification and prevention of pressure injuries. An increase in skin temperature usually indicates obstruction of microvascular blood flow and is a key indicator in the early stages of pressure injuries. By monitoring skin temperature, medical staff can identify potential risk areas in a timely manner and take preventive measures, such as adjusting the patient's position or using advanced decompression equipment, before the injury forms obvious changes on the skin surface. Studies have shown the potential for the application of skin temperature monitoring in pressure injury risk warning systems. Continuous monitoring of skin temperature, combined with quantitative risk assessment, helps to take effective preventive measures before the injury forms. Summary of the invention

[0004] In order to solve the technical problems existing in the above-mentioned background technology, the present invention provides a pressure control method and system based on temperature recognition.

[0005] The present invention provides a pressure control method based on temperature recognition, comprising the following steps:

[0006] Obtaining the ambient temperature of the space where each airbag is located, and detecting the surface of each airbag to obtain the surface temperature of the airbag, and generating a temperature distribution map based on the ambient temperature and the surface temperature of the airbag;

[0007] Determine a pressure adjustment area and pressure adjustment data of the pressure adjustment area according to the temperature distribution diagram;

[0008] Obtain the air pressure data of each airbag and obtain a pressure distribution diagram;

[0009] Input the pressure adjustment data and the pressure distribution diagram into the prediction model to predict the number of pressure adjustments of each airbag in the pressure adjustment area and the pressure adjustment value corresponding to each pressure adjustment;

[0010] Adjust the air pressure of each airbag according to the pressure adjustment times and the pressure adjustment value.

[0011] In some embodiments, a plurality of pressure adjustment regions are determined based on the temperature distribution map, including:

[0012] Matching the temperature distribution graph with a temperature distribution template in a database; wherein the temperature distribution template includes an indexed ambient temperature, a template surface temperature, and a first pressure adjustment value corresponding to the template surface temperature;

[0013] Based on the ambient temperature and indexed ambient temperature, determine the temperature distribution template;

[0014] Matching calculation is performed between the template surface temperature corresponding to the first pressure adjustment value of 0 in the temperature distribution template and the airbag surface temperature;

[0015] If the matching calculation result is greater than P, the airbag area in the temperature distribution diagram is a pressure adjustment area.

[0016] In some embodiments, determining pressure adjustment data for a pressure adjustment region includes:

[0017] Matching calculation is performed on the surface temperature of the airbag in the pressure adjustment area and the surface temperature of the template in the temperature distribution template;

[0018] If the matching calculation result is less than or equal to Q, a plurality of first pressure adjustment values ​​corresponding to the matched template surface temperature are used as pressure adjustment data.

[0019] In some embodiments, the pressure adjustment data and the pressure distribution diagram are input into a prediction model to predict the number of pressure adjustments of each airbag in the pressure adjustment area and the pressure adjustment value corresponding to each pressure adjustment, including:

[0020] The prediction model calculates the number of pressure adjustments of each airbag according to the first pressure adjustment value of each airbag in the pressure adjustment data, and obtains the second pressure adjustment value corresponding to each pressure adjustment;

[0021] Obtaining the contact coefficient of each airbag, and determining the influence coefficient according to the contact coefficient and the positional relationship between adjacent airbags;

[0022] Each second pressure adjustment value is fine-tuned by the influence coefficient to obtain the third pressure adjustment value, pressure adjustment time and pressure adjustment sequence of each airbag pressure adjustment.

[0023] In some embodiments, determining the influence coefficient according to the contact coefficient and the positional relationship between adjacent airbags includes:

[0024] Obtain the data relationship between the air pressure and the contact area of ​​each airbag, and determine the contact coefficient of each airbag;

[0025] Acquire position data of each airbag, wherein the position data includes height data and inclination data; determine the positional relationship between adjacent airbags according to the position data of each airbag;

[0026] The influence coefficient is determined based on the contact coefficient and the positional relationship between adjacent airbags.

[0027] The present invention also provides a pressure control system based on temperature recognition, comprising a temperature detection device, a processing device, and a storage device, wherein the processing device is electrically connected to the storage device and the temperature detection device respectively; wherein:

[0028] The temperature detection device is used to detect the ambient temperature and the surface temperature of each airbag, and transmit them to the processing device;

[0029] The storage device is used to store executable computer program code;

[0030] The processing device is used to execute the above method by calling the executable computer program code in the storage device to generate the number of pressure adjustments for each airbag and the pressure adjustment value corresponding to each pressure adjustment, and control the air pump to adjust the air pressure to the corresponding airbag.

[0031] The beneficial effects of the present invention are:

[0032] The present invention discloses a pressure control method based on temperature recognition. By real-time monitoring of skin temperature changes, potential pressure concentration areas can be identified in time, early warning can be achieved, and the timeliness and accuracy of preventing pressure injuries can be significantly improved, and the risk of pressure injuries caused by human negligence can be effectively reduced. Precise decompression of specific areas can be achieved, and this precise decompression mechanism helps to avoid the problem of excessive or insufficient decompression, thereby ensuring the comfort of patients during the decompression process and effectively preventing the occurrence of pressure injuries. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0034] The following is a description of exemplary embodiments of the present disclosure, including various details of the embodiments of the present disclosure to aid understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. Similarly, for clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0035] The embodiment of the present invention discloses a pressure control method based on temperature recognition, comprising the following steps:

[0036] Obtaining the ambient temperature of the space where each airbag is located, and detecting the surface of each airbag to obtain the surface temperature of the airbag, and generating a temperature distribution map based on the ambient temperature and the surface temperature of the airbag;

[0037] Determine a pressure adjustment area and pressure adjustment data of the pressure adjustment area according to the temperature distribution diagram;

[0038] Obtain the air pressure data of each airbag and obtain a pressure distribution diagram;

[0039] Input the pressure adjustment data and the pressure distribution diagram into the prediction model to predict the number of pressure adjustments of each airbag in the pressure adjustment area and the pressure adjustment value corresponding to each pressure adjustment;

[0040] Adjust the air pressure of each airbag according to the pressure adjustment times and the pressure adjustment value.

[0041] In the present invention, for patients who are bedridden for a long time or have limited mobility, a number of decompression airbags or air cushions are arranged on the patient's treatment bed, and the temperature of the surface of the decompression airbags is collected by a temperature acquisition device. Based on the temperature, the obstruction of microvascular blood flow in that part of the patient can be identified and judged; then the best pressure-slowing and blood pressure-reducing sequence is matched, that is, the pressure values ​​of multiple parts are gradually reduced, and the final pressure after pressure adjustment is used as the ideal pressure of each decompression airbag.

[0042] However, the patient is carried on all the decompression airbags. During the process of pressure adjustment of each decompression airbag, the patient's body position will change, which will further affect the pressure adjustment effect of each decompression airbag, which is not conducive to the patient obtaining a better decompression effect.

[0043] The present invention adopts a prediction model to analyze the pressure adjustment data and the pressure distribution diagram, that is, a neural network algorithm is used to analyze the impact of the current pressure of the decompression air cushion on the pressure bearing, contact area and patient position of the adjacent airbags after the pressure adjustment, so as to determine the corresponding pressure adjustment times and pressure adjustment values, and control the air pump source to inflate or deflate the decompression air cushion, thereby mitigating the impact of the pressure adjustment on the patient.

[0044] The present invention uses a prediction model to conduct an in-depth analysis of the real-time temperature value of the decompression airbag and the ideal pressure adjustment value corresponding to the temperature value, thereby obtaining the number of pressure adjustments of each decompression airbag and the pressure adjustment value of each time, so that the pressure and contact surface of the decompression airbag can be maintained within the aforementioned ideal indicator range to the maximum extent, thereby achieving optimal patient comfort.

[0045] The airbag surface temperature can be obtained by using an infrared thermometer or by placing a temperature sensor on the surface of the decompression airbag. The sensor uses non-contact measurement technology to monitor and record the temperature changes of the patient's skin in real time with an accuracy of ±0.1°C to ensure the capture of tiny temperature changes.

[0046] Of course, other methods may also be used to obtain the real-time temperature of the airbag surface, and the present invention is not limited thereto.

[0047] According to the temperature distribution diagram, several pressure adjustment areas are determined, including:

[0048] Matching the temperature distribution graph with a temperature distribution template in a database; wherein the temperature distribution template includes an indexed ambient temperature, a template surface temperature, and a first pressure adjustment value corresponding to the template surface temperature;

[0049] Based on the ambient temperature and indexed ambient temperature, determine the temperature distribution template;

[0050] Matching calculation is performed between the template surface temperature corresponding to the first pressure adjustment value of 0 in the temperature distribution template and the airbag surface temperature;

[0051] If the matching calculation result is greater than P, the airbag area in the temperature distribution diagram is a pressure adjustment area.

[0052] Determine the pressure adjustment data for the pressure adjustment area, including:

[0053] Matching calculation is performed on the surface temperature of the airbag in the pressure adjustment area and the surface temperature of the template in the temperature distribution template;

[0054] If the matching calculation result is less than or equal to Q, a plurality of first pressure adjustment values ​​corresponding to the matched template surface temperature are used as pressure adjustment data.

[0055] In the present invention, a database is constructed in advance, and a plurality of sets of temperature distribution templates corresponding to different ambient temperature values ​​are stored in the database. The temperature distribution template consists of three parts [A, B, C], where A is the index ambient temperature, B is the template surface temperature, and C is the first pressure adjustment value.

[0056] In addition, the temperature distribution template in the database is pre-established based on the patient's physical data. That is, before performing template matching, the patient's weight, height and measurements need to be input into the prediction model. These data are fixed data. The prediction model selects the corresponding temperature distribution template based on the patient's physical data, and then performs template matching calculations based on real-time monitoring data.

[0057] When performing matching calculation, the difference between the ambient temperature value detected in real time and the index ambient temperature in the temperature distribution template is calculated, and the temperature distribution template whose difference is within the specified threshold is determined to be a successful match; wherein the threshold can be set to ±0.1°C;

[0058] Under the temperature distribution template, based on the determined ambient temperature, the normal airbag surface temperature should be constant within a certain range, and no pressure adjustment is required at this time, that is, the first pressure adjustment value is 0; based on this, the difference between the template surface temperature and the airbag surface temperature corresponding to the first pressure adjustment value of 0 is used to calculate the difference. If the absolute value of the difference exceeds the specified threshold value P, it is considered that the decompression airbag temperature at that location is abnormal and pressure adjustment is required, wherein the threshold value P can be set to 0.1°C;

[0059] After the pressure adjustment area is determined, the surface temperature of each decompression airbag in the area is calculated with the surface temperature of the corresponding template in the successfully matched temperature distribution template, and the template surface temperature whose difference is within the specified threshold Q is determined as a successful match; wherein the threshold Q can be set to ±0.1°C;

[0060] After the matching is successful, the first pressure adjustment value corresponding to the template surface temperature is the pressure adjustment value that each decompression airbag needs to adjust.

[0061] Specifically, the pressure adjustment data and the pressure distribution diagram are input into the prediction model to predict the number of pressure adjustments of each airbag in the pressure adjustment area and the pressure adjustment value corresponding to each pressure adjustment, including:

[0062] The prediction model calculates the number of pressure adjustments of each airbag according to the first pressure adjustment value of each airbag in the pressure adjustment data, and obtains the second pressure adjustment value corresponding to each pressure adjustment;

[0063] Obtaining the contact coefficient of each airbag, and determining the influence coefficient according to the contact coefficient and the positional relationship between adjacent airbags;

[0064] Each second pressure adjustment value is fine-tuned by the influence coefficient to obtain the third pressure adjustment value, pressure adjustment time and pressure adjustment sequence of each airbag pressure adjustment.

[0065] The influence coefficient is determined based on the contact coefficient and the positional relationship between adjacent airbags, including:

[0066] Obtain the data relationship between the air pressure and the contact area of ​​each airbag, and determine the contact coefficient of each airbag;

[0067] Acquire position data of each airbag, wherein the position data includes height data and inclination data; determine the positional relationship between adjacent airbags according to the position data of each airbag;

[0068] The influence coefficient is determined based on the contact coefficient and the positional relationship between adjacent airbags.

[0069] In the present invention, the prediction model can analyze the input pressure adjustment data and pressure distribution diagram, predict the number of pressure adjustments of each airbag, and preliminarily obtain the adjustment data of each pressure adjustment; the number of pressure adjustments R is determined based on the maximum pressure adjustment value M that needs to be adjusted in the airbag. If the system sets the maximum single pressure adjustment value to N, R is taken as the maximum integer value approaching M / N.

[0070] The pressure adjustment of a single decompression airbag will affect the patient's position and adjacent airbags; each time the pressure is adjusted, the patient's position is slowly changed by controlling the pressure adjustment rate;

[0071] Based on the position data of each airbag, the adjustment principle is to adjust the high-position decompression airbag first, and then adjust the low-position decompression airbag first; for decompression airbags at the same height, adjust the decompression airbag with a large inclination first, and then adjust the decompression airbag with a small inclination;

[0072] Based on the contact coefficient of each airbag, the adjustment principle is to adjust the decompression airbag with a large contact area first, and then adjust the decompression airbag with a small contact area; for decompression airbags with the same contact area, adjust the airbag with a large pressure first, and then adjust the airbag with a low pressure;

[0073] like Figure 1 As shown, the present invention also provides a pressure control system based on temperature recognition, including a temperature detection device, a processing device, and a storage device, wherein the processing device is electrically connected to the storage device and the temperature detection device respectively; wherein,

[0074] The temperature detection device is used to detect the ambient temperature and the surface temperature of each airbag, and transmit them to the processing device;

[0075] The storage device is used to store executable computer program code;

[0076] The processing device is used to execute the above method by calling the executable computer program code in the storage device to generate the number of pressure adjustments for each airbag and the pressure adjustment value corresponding to each pressure adjustment, and control the air pump to adjust the air pressure to the corresponding airbag.

[0077] The processing device is the control core of the system, which is responsible for receiving data from temperature sensors and processing the collected temperature data using advanced data analysis algorithms, such as machine learning technology. By analyzing the temperature distribution map, the central processing unit can identify areas with abnormally high temperatures, which may be high-risk areas of pressure concentration.

[0078] After receiving instructions from the treatment device, the decompression actuator will drive the pump source to change the contact pressure between the patient's body and the decompression cushion. The design of the decompression cushion allows personalized adjustment of different areas to adapt to the curves of the patient's body.

[0079] At the same time, the system can be equipped with an intelligent diagnostic module that can monitor the system status in real time and provide feedback through the user interface. When system anomalies or performance degradation are detected, the system will automatically issue an alarm to ensure timely maintenance and adjustments.

[0080] To provide deeper analysis and improvements, the system also includes a data logging module that can store and analyze long-term temperature monitoring data. This helps medical staff understand the development pattern of pressure injuries and optimize prevention strategies.

[0081] When the processing device detects that the skin temperature in a certain area continues to rise above the preset threshold, the system will automatically trigger the decompression actuator to adjust the air cushion pressure in the corresponding area. The decompression process will continue until the skin temperature returns to normal. In addition, the user interface will display the temperature changes and decompression status in real time, ensuring that medical staff can monitor the performance of the device at any time.

[0082] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A pressure control method based on temperature recognition, characterized in that: The following steps are involved: Obtaining the ambient temperature of the space where each airbag is located, and detecting the surface of each airbag to obtain the surface temperature of the airbag, and generating a temperature distribution map based on the ambient temperature and the surface temperature of the airbag; Determine a pressure adjustment area and pressure adjustment data of the pressure adjustment area according to the temperature distribution diagram; Obtain the air pressure data of each airbag and obtain a pressure distribution diagram; Input the pressure adjustment data and the pressure distribution diagram into the prediction model to predict the number of pressure adjustments of each airbag in the pressure adjustment area and the pressure adjustment value corresponding to each pressure adjustment; Adjust the air pressure of each airbag according to the pressure adjustment times and the pressure adjustment value.

2. A pressure control method based on temperature recognition according to claim 1, characterized in that: According to the temperature distribution diagram, several pressure adjustment areas are determined, including: Matching the temperature distribution graph with a temperature distribution template in a database; wherein the temperature distribution template includes an indexed ambient temperature, a template surface temperature, and a first pressure adjustment value corresponding to the template surface temperature; Based on the ambient temperature and indexed ambient temperature, determine the temperature distribution template; Matching calculation is performed between the template surface temperature corresponding to the first pressure adjustment value of 0 in the temperature distribution template and the airbag surface temperature; If the matching calculation result is greater than P, the airbag area in the temperature distribution diagram is a pressure adjustment area.

3. A pressure control method based on temperature recognition according to claim 2, characterized in that: Determine the pressure adjustment data for the pressure adjustment area, including: Matching calculation is performed on the surface temperature of the airbag in the pressure adjustment area and the surface temperature of the template in the temperature distribution template; If the matching calculation result is less than or equal to Q, a plurality of first pressure adjustment values ​​corresponding to the matched template surface temperature are used as pressure adjustment data.

4. A pressure control method based on temperature recognition according to claim 3, characterized in that: The pressure adjustment data and the pressure distribution diagram are input into the prediction model to predict the number of pressure adjustments of each airbag in the pressure adjustment area and the pressure adjustment value corresponding to each pressure adjustment, including: The prediction model calculates the number of pressure adjustments of each airbag according to the first pressure adjustment value of each airbag in the pressure adjustment data, and obtains the second pressure adjustment value corresponding to each pressure adjustment; Obtaining the contact coefficient of each airbag, and determining the influence coefficient according to the contact coefficient and the positional relationship between adjacent airbags; Each second pressure adjustment value is fine-tuned by the influence coefficient to obtain the third pressure adjustment value, pressure adjustment time and pressure adjustment sequence of each airbag pressure adjustment.

5. A pressure control method based on temperature recognition according to claim 4, characterized in that: The influence coefficient is determined based on the contact coefficient and the positional relationship between adjacent airbags, including: Obtain the data relationship between the air pressure and the contact area of ​​each airbag, and determine the contact coefficient of each airbag; Acquire position data of each airbag, wherein the position data includes height data and inclination data; determine the positional relationship between adjacent airbags according to the position data of each airbag; The influence coefficient is determined based on the contact coefficient and the positional relationship between adjacent airbags.

6. A pressure control system based on temperature recognition, comprising a temperature detection device, a processing device, and a storage device, wherein the processing device is electrically connected to the storage device and the temperature detection device respectively; wherein: The temperature detection device is used to detect the ambient temperature and the surface temperature of each airbag, and transmit them to the processing device; The storage device is used to store executable computer program code; It is characterized in that: the processing device is used to execute the method described in any one of claims 1 to 5 by calling the executable computer program code in the storage device to generate the number of pressure adjustments for each airbag and the pressure adjustment value corresponding to each pressure adjustment, and control the air pump to adjust the air pressure to the corresponding airbag.

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