Peritoneal dialysis fluid data management system based on peritoneal dialysis

Abstract

The present invention provides a peritoneal dialysis fluid data management system based on peritoneal dialysis. It includes: a processing module establishes a plurality of peritoneal dialysis logs according to a plurality of preset peritoneal dialysis time periods of a natural day; a trigger module is used to collect a first preset trigger action in each preset peritoneal dialysis time period to generate a trigger signal, collect a second preset trigger action to generate a confirmation signal and send it to an identification and weighing module; the processing module generates an execution signal and sends it to the identification and weighing module; after receiving the execution signal, the identification and weighing module collects a plurality of characteristic data of the peritoneal dialysis fluid for patient confirmation, and sends the plurality of characteristic data to the processing module after receiving the confirmation signal; the processing module marks the log number for the plurality of characteristic data of the peritoneal dialysis fluid and enters them into the peritoneal dialysis log for storage, and when the peritoneal dialysis log is completed, the processing module generates a completion signal and sends it to the trigger module and the identification and weighing module. The technical problem that the peritoneal dialysis patient peritoneal dialysis fluid record is inconvenient and affects the peritoneal dialysis effect in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of peritoneal dialysis, and in particular to a peritoneal dialysis fluid data management system based on peritoneal dialysis. Background Art

[0002] Peritoneal dialysis, abbreviated as PD, is one of the commonly used alternative therapies for patients with chronic renal failure. It utilizes the semipermeable membrane properties of the peritoneum to introduce an appropriate amount of peritoneal dialysis fluid into the abdominal cavity and retain it for a period of time. With the help of the solute concentration gradient and osmotic gradient in the blood in the peritoneal capillaries and the peritoneal dialysis fluid in the abdominal cavity, water and solute exchange are carried out to remove accumulated metabolic waste and correct water, electrolyte, and acid-base imbalances.

[0003] Peritoneal dialysis can better protect the residual renal function, has less impact on the human heart, blood and circulatory system, is not easy to cause various complications such as heart disease, and can be treated at home. The treatment plan is relatively flexible. Giving priority to peritoneal dialysis helps patients with uremia gain overall survival time for renal replacement therapy, and is gradually recognized by physicians and generally accepted by patients. There are currently two types of peritoneal dialysis. Continuous ambulatory peritoneal dialysis repeatedly and several times a day by manually connecting the abdomen to infuse and release peritoneal dialysis fluid. Peritoneal dialysis patients actually need to undergo 3-5 peritoneal dialysis sessions a day. During the peritoneal dialysis process, the peritoneal dialysis fluid and effluent need to be weighed and recorded many times. The weighing process is not convenient for recording data and is prone to errors. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a peritoneal dialysis-based peritoneal dialysis fluid data management system, which solves the technical problem in the prior art that the peritoneal dialysis fluid record of peritoneal dialysis patients is inconvenient and affects the peritoneal dialysis effect.

[0005] According to the peritoneal dialysis-based peritoneal dialysis data management system of the present invention, the system comprises:

[0006] Trigger module, identification and weighing module and processing module;

[0007] The processing module creates a number of peritoneal dialysis logs according to a number of preset peritoneal dialysis time periods of a natural day, and each peritoneal dialysis log is provided with a log number;

[0008] The trigger module is used to collect the patient's first preset trigger action in real time within several preset peritoneal dialysis periods of a natural day to generate a trigger signal to wake up the processing module, and collect the patient's second preset trigger action to generate a confirmation signal to send to the identification and weighing module;

[0009] After receiving the trigger signal, the processing module confirms that the current trigger signal corresponds to the peritoneal dialysis log and generates an execution signal to send to the identification and weighing module;

[0010] The identification weighing module collects several characteristic data of the peritoneal dialysis fluid for patient confirmation after receiving the execution signal, and sends the several characteristic data to the processing module after receiving the confirmation signal; the several characteristic data include weight data;

[0011] The processing module marks the log number for several characteristic data of the peritoneal dialysis fluid and enters them into the peritoneal dialysis log for storage. When the peritoneal dialysis log is completed, the processing module generates a completion signal and sends it to the trigger module and the identification and weighing module.

[0012] Furthermore, the trigger module includes:

[0013] Edge processor, NFC communication unit, and gesture recognition unit;

[0014] When a preset peritoneal dialysis period begins, the edge processor controls the NFC communication unit and the gesture recognition unit to be in a standby state;

[0015] The first preset triggering action includes the patient controlling the client to communicate with the NFC communication unit, and the patient using a preset first gesture within the recognition range of the gesture recognition unit to be recognized by the gesture recognition unit;

[0016] The second preset triggering action includes the patient controlling the client to communicate with the NFC communication unit, and the patient using a preset second gesture within the recognition range of the gesture recognition unit to be recognized by the gesture recognition unit;

[0017] The NFC communication unit obtains the identity information of the client after communicating with the client and sends it to the edge processor; the gesture recognition unit generates a first gesture signal or a second gesture signal after recognizing a preset first gesture or a preset second gesture and sends it to the edge processor;

[0018] The edge processor generates a trigger signal based on the first gesture signal and the identity information and sends the trigger signal to the processing module;

[0019] The edge processor generates a confirmation signal based on the second gesture signal and the identity information and sends it to the identification and weighing module.

[0020] Further, the gesture recognition unit includes a radar sensor, a plurality of photoelectric sensors and a controller;

[0021] The radar sensor is used to collect radar data and send it to the controller; the multiple photoelectric sensors are used to collect photoelectric data and send it to the controller;

[0022] The plurality of photoelectric sensors are centered on the radar sensor and are evenly arranged along the circumference of the radar sensor on a plane to form a plurality of sensing paths including a first sensing path and a second sensing path; wherein the preset first gesture and the preset second gesture correspond one-to-one to the first sensing path and the second sensing path;

[0023] The controller confirms whether the patient's gesture action has started based on the radar data; if so, the controller analyzes the photoelectric data of each photoelectric sensor within a preset time after the gesture action starts to obtain the patient's sensing path; based on the sensing path, the controller confirms the patient's gesture action; based on the patient's gesture action, the controller confirms the corresponding gesture signal.

[0024] Furthermore, the identification and weighing module comprises:

[0025] Image acquisition unit, weighing unit, display unit and microprocessor;

[0026] The image acquisition unit takes a top-view image of the supporting area of ​​the weighing unit;

[0027] After receiving the execution signal, the microprocessor controls the image acquisition unit to collect overhead image data of the supporting area according to a preset frequency; the microprocessor determines whether the overhead image data meets the preset image conditions;

[0028] If so, the microprocessor controls the weighing unit to collect weight data, and obtains the peritoneal dialysis fluid weight and surface image after confirming that the weight data meets the preset weight conditions;

[0029] The microprocessor obtains several characteristic data including product information, calcium ion concentration, glucose concentration, production date, production number and net weight of the peritoneal dialysis fluid based on the peritoneal dialysis fluid weight and surface image, and displays them on the display unit for the patient to confirm. The patient generates a confirmation signal through the trigger module and sends it to the microprocessor; after receiving the confirmation signal, the microprocessor sends the several characteristic data to the processing module.

[0030] Furthermore, the microprocessor determines whether the overhead image data meets the image preset conditions, including:

[0031] The microprocessor uses an edge recognition algorithm to obtain edge data in each overhead image, and after the overhead image data exceeds the length of a preset first detection time window; analyzes the overhead image within each first detection time window;

[0032] When the information side of the packaging bag in each top-view image within a first detection time window faces upward, the edge data are all the edges of the peritoneal dialysis fluid packaging bag, and each edge of the packaging bag is within the supporting area, it is determined that the top-view image data within the current first detection time window meets the image preset conditions.

[0033] Further, the microprocessor confirms that the weight data meets the weight preset condition;

[0034] When the weight data exceeds the preset second detection time window length, all weight data in each second detection time window are analyzed; when all weight data in a second detection time window are equal, it is determined that the weight data in the current second detection time window meets the preset weight conditions.

[0035] Furthermore, it also includes: when the peritoneal dialysis log within the current preset peritoneal dialysis period is completed, the processor module sends the peritoneal dialysis log and the completion signal to the edge processor of the trigger module, and the edge processor sends the peritoneal dialysis log to the client through the NFC communication unit.

[0036] Furthermore, the trigger module also includes a face recognition unit, which is used to collect facial information of the patient and send it to the edge processor; the edge processor obtains the patient's identity information based on the facial information and verifies it; after verification, the gesture recognition unit collects a preset first gesture or a preset second gesture within the recognition range.

[0037] Furthermore, the plurality of characteristic data also include an infiltration information plane image of the peritoneal dialysis inlet fluid and an outfiltration information plane image of the peritoneal dialysis outlet fluid; the processing module analyzes the infiltration information plane image and the outfiltration information plane image; determines whether the liquid color of the peritoneal dialysis inlet fluid and the peritoneal dialysis outlet fluid is normal, and when the liquid color of the peritoneal dialysis inlet fluid or the peritoneal dialysis outlet fluid is abnormal, generates a reminder message and enters it into the peritoneal dialysis log.

[0038] Furthermore, the trigger module further includes an audio player, and the audio player is connected to the controller;

[0039] When the controller confirms the start or end of the patient's gesture action, and generates a gesture signal, it generates a corresponding audio signal and sends it to the audio player for playing to remind the patient.

[0040] Compared with the prior art, the present invention has the following beneficial effects:

[0041] In the present invention, the trigger module is set to implement the first preset trigger action or the second preset trigger action of collecting the patient's data from the beginning to the end of each peritoneal dialysis period; the trigger module does not collect the patient's trigger action at other times to save energy; at the beginning of each peritoneal dialysis, the trigger module emits a prompt sound at a fixed frequency until the preset trigger action of the patient is collected. By setting the first preset trigger action and the second preset trigger action, it is possible to avoid other people using data that does not belong to the patient and enter it into the peritoneal dialysis log; wherein the trigger signal generated by the first preset trigger action is used to wake up the processing module, and the processing module then generates an execution signal to wake up the identification weighing module to obtain several characteristic data of the peritoneal dialysis fluid, avoiding the identification weighing module from being turned on when the patient is not ready to use it, resulting in a waste of energy; the patient uses the second preset trigger action to make the trigger module generate a confirmation signal, thereby controlling the identification weighing module to send several characteristic data to the processing module, so that the processing module can mark the log number of several characteristic data and enter it into the peritoneal dialysis log. The technical problem that the peritoneal dialysis fluid record of peritoneal dialysis patients in the prior art is inconvenient and affects the peritoneal dialysis effect is solved. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 4 is a structural principle diagram of a data management system according to an embodiment of the present invention.

[0043] Figure 2 FIG. 4 is a structural principle diagram of a trigger module according to another embodiment of the present invention.

[0044] Figure 3 FIG. 4 is a structural principle diagram of a gesture recognition unit according to another embodiment of the present invention.

[0045] Figure 4 This is a structural principle diagram of an identification weighing module according to another embodiment of the present invention. DETAILED DESCRIPTION

[0046] The technical solution of the present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0047] like Figure 1 As shown, according to the peritoneal dialysis-based peritoneal dialysis data management system of the present invention, the system comprises:

[0048] Trigger module, identification and weighing module and processing module;

[0049] The processing module creates a number of peritoneal dialysis logs according to a number of preset peritoneal dialysis time periods of a natural day, and each peritoneal dialysis log is provided with a log number;

[0050] The trigger module is used to collect the patient's first preset trigger action in real time within several preset peritoneal dialysis periods of a natural day to generate a trigger signal to wake up the processing module, and collect the patient's second preset trigger action to generate a confirmation signal to send to the identification and weighing module;

[0051] After receiving the trigger signal, the processing module confirms that the current trigger signal corresponds to the peritoneal dialysis log and generates an execution signal to send to the identification and weighing module;

[0052] The identification weighing module collects several characteristic data of the peritoneal dialysis fluid for patient confirmation after receiving the execution signal, and sends the several characteristic data to the processing module after receiving the confirmation signal; the several characteristic data include weight data;

[0053] The processing module marks the log number for several characteristic data of the peritoneal dialysis fluid and enters them into the peritoneal dialysis log for storage. When the peritoneal dialysis log is completed, the processing module generates a completion signal and sends it to the trigger module and the identification and weighing module.

[0054] The specific implementation process of this embodiment includes:

[0055] Patients with chronic renal failure need to undergo peritoneal dialysis multiple times a day. In order to achieve a better effect of peritoneal dialysis for patients, the time of peritoneal dialysis should be arranged at a fixed time every day; in this embodiment, the patient's daily peritoneal dialysis plan is formulated by the patient's corresponding doctor; the peritoneal dialysis plan includes the number of peritoneal dialysis times and peritoneal dialysis periods per day; the patient can input the peritoneal dialysis plan into the processing module by manual input or the like, and the processing module establishes a number of peritoneal dialysis logs according to the several peritoneal dialysis periods in the peritoneal dialysis plan, and the several peritoneal dialysis logs correspond to the several peritoneal dialysis periods one by one; each peritoneal dialysis log is correspondingly provided with a log number, and the format of the log number in this embodiment includes: the initials of the name - the last two digits of the year of birth - the last four digits of the contact information - the peritoneal dialysis date - the number of the day; for example, Liu ×-68-6××5-200406-n; it means that the patient whose name is Liu ×, whose year of birth is 1968, and whose last four digits of the contact information are 6××5, had the nth peritoneal dialysis on April 6, 2020.

[0056] In this embodiment, the trigger module is set to implement the first preset trigger action or the second preset trigger action of collecting the patient's data from the beginning to the end of each peritoneal dialysis period; the trigger module does not collect the patient's trigger action at other times to save energy; at the beginning of each peritoneal dialysis, the trigger module emits a prompt sound at a fixed frequency until the preset trigger action of the patient is collected. By setting the first preset trigger action and the second preset trigger action, it is possible to avoid other people using data that does not belong to the patient and enter it into the peritoneal dialysis log; wherein the trigger signal generated by the first preset trigger action is used to wake up the processing module, and the processing module then generates an execution signal to wake up the identification weighing module to obtain several characteristic data of the peritoneal dialysis fluid, avoiding the identification weighing module from being turned on when the patient is not ready to use it, resulting in a waste of energy; the patient uses the second preset trigger action to make the trigger module generate a confirmation signal, thereby controlling the identification weighing module to send several characteristic data to the processing module, so that the processing module can mark the log number of several characteristic data and enter it into the peritoneal dialysis log. The technical problem that the peritoneal dialysis patient's peritoneal dialysis fluid record is inconvenient and affects the peritoneal dialysis effect in the prior art is solved.

[0057] It should be noted that, in this embodiment, the processing module is also connected to the cloud server. Whenever a peritoneal dialysis log is generated, the peritoneal dialysis log is uploaded to the cloud server. Patients can log in to the cloud server through devices such as smart phones and computers to query the peritoneal dialysis logs; doctors can also log in to the cloud server through devices to manage the peritoneal dialysis logs of the patients they are responsible for.

[0058] During each peritoneal dialysis process of the patient, there are two kinds of peritoneal dialysis fluid, namely peritoneal dialysis inlet fluid and peritoneal dialysis input fluid; the patient needs to weigh and record the peritoneal dialysis input fluid before the start of peritoneal dialysis; the peritoneal dialysis effluent fluid is weighed and recorded after the end of peritoneal dialysis, so two identification weighings are required in each peritoneal dialysis period. The time difference between the two weighings is relatively fixed, generally about 20-30 minutes. Every time the patient is weighed, he needs to first trigger the processing module through the first preset trigger action, and after confirming several characteristic data of the peritoneal dialysis fluid, he needs to confirm several characteristic data through the second preset trigger action.

[0059] The processing module enters several characteristic data of the patient's first peritoneal dialysis fluid in a peritoneal dialysis period into the peritoneal dialysis log, generates a completion signal and sends it to the trigger module and the identification and weighing module;

[0060] The processing module enters several characteristic data of the second peritoneal dialysis fluid of the same patient within a peritoneal dialysis period into the peritoneal dialysis log, generates a completion signal and sends it to the trigger module and the identification and weighing module.

[0061] The trigger module enters a hot standby state upon receiving the completion signal, wherein the hot standby state of the trigger module includes shutting down and automatically starting after a preset peritoneal dialysis time. In this example, the preset peritoneal dialysis time is 20 minutes;

[0062] The identification weighing module enters the cold standby state after receiving the completion signal; the trigger module and the identification weighing module both enter the cold standby state after receiving the completion signal;

[0063] The cold standby state of the trigger module includes shutting down until the next peritoneal dialysis period arrives and then automatically starting up; the standby state of the identification weighing module includes shutting down and waiting for the execution signal of the processing module before starting up.

[0064] like Figure 2 As shown, in another embodiment of the present invention, the trigger module includes:

[0065] Edge processor, NFC communication unit, and gesture recognition unit;

[0066] When a preset peritoneal dialysis period begins, the edge processor controls the NFC communication unit and the gesture recognition unit to be in a standby state;

[0067] The first preset triggering action includes the patient controlling the client to communicate with the NFC communication unit, and the patient using a preset first gesture within the recognition range of the gesture recognition unit to be recognized by the gesture recognition unit;

[0068] The second preset triggering action includes the patient controlling the client to communicate with the NFC communication unit, and the patient using a preset second gesture within the recognition range of the gesture recognition unit to be recognized by the gesture recognition unit;

[0069] The NFC communication unit obtains the identity information of the client after communicating with the client and sends it to the edge processor; the gesture recognition unit generates a first gesture signal or a second gesture signal after recognizing a preset first gesture or a preset second gesture and sends it to the edge processor;

[0070] The edge processor generates a trigger signal based on the first gesture signal and the identity information and sends the trigger signal to the processing module;

[0071] The edge processor generates a confirmation signal based on the second gesture signal and the identity information and sends it to the identification and weighing module.

[0072] The specific implementation process of this embodiment includes:

[0073] This embodiment connects with the patient's client by setting up an NFC communication unit, thereby obtaining the patient's identity information; the patient's client can be a smart phone and smart watch with NFC function, as well as a card with an NFC chip; the transmission distance of NFC is between 1 and 20 cm, with high security and low cost; it can only be successfully connected when the user brings the client to the NFC communication unit between 1 and 20 cm, which can avoid the patient or other person's client from being connected by mistake. In addition, it can ensure that the client and the NFC communication unit can identify the connection without direct contact, thereby avoiding cross-contamination between the client and the NFC communication unit; in some embodiments, when the peritoneal dialysis log within the current preset peritoneal dialysis period is completed, the processor module sends the peritoneal dialysis log and the completion signal to the edge processor of the trigger module, and the edge processor sends the peritoneal dialysis log to the client through the NFC communication unit.

[0074] The patient then uploads the corresponding peritoneal dialysis log to the cloud server through the client, so that the peritoneal dialysis log can be generated, recorded and uploaded when the processing module is not connected to the network.

[0075] This embodiment also provides a gesture recognition unit to recognize the patient's gestures for operation; avoids direct contact such as finger touch by the patient; ensures the cleanliness of the patient's hands and equipment during peritoneal dialysis. During peritoneal dialysis, the patient needs to keep his hands clean to operate the dialysis tube; if the hand cleaning state is not good, the probability of the patient suffering from peritonitis is easily increased, so it is very necessary to keep the hands clean during peritoneal dialysis.

[0076] In this embodiment, Figure 3 As shown, the gesture recognition unit includes a radar sensor, a plurality of photoelectric sensors and a controller;

[0077] The radar sensor is used to collect radar data and send it to the controller; the multiple photoelectric sensors are used to collect photoelectric data and send it to the controller;

[0078] The plurality of photoelectric sensors are centered on the radar sensor and are evenly arranged along the circumference of the radar sensor on a plane to form a plurality of sensing paths including a first sensing path and a second sensing path; wherein the preset first gesture and the preset second gesture correspond one-to-one to the first sensing path and the second sensing path;

[0079] The controller confirms whether the patient's gesture action has started based on the radar data; if so, the controller analyzes the photoelectric data of each photoelectric sensor within a preset time after the gesture action starts to obtain the patient's sensing path; based on the sensing path, the controller confirms the patient's gesture action; based on the patient's gesture action, the controller confirms the corresponding gesture signal.

[0080] In this embodiment, there are four photoelectric sensors, including photoelectric sensor A, photoelectric sensor B, photoelectric sensor C and photoelectric sensor D; the four photoelectric sensors and the radar sensor are all on the same plane, the plane faces the patient, and the four photoelectric sensors are evenly arranged along the circumference of the radar sensor;

[0081] When using it for the first time, the patient can customize the first sensing path and the second sensing path in advance according to his or her own operating habits; for example, the first sensing path includes passing through photoelectric sensor A, photoelectric sensor B, and photoelectric sensor C in sequence and ending; the second sensing path includes passing through photoelectric sensor C, photoelectric sensor B, and photoelectric sensor D in sequence and ending.

[0082] In this embodiment, the controller confirms whether the patient's gesture action has started based on the radar data, including the controller analyzing the radar data to determine that there is an obstacle within the set recognition distance and stays for more than the set recognition time, and then determining that the patient's gesture action has started;

[0083] This embodiment provides a radar sensor in conjunction with a plurality of photoelectric sensors to recognize the user's gestures contactlessly, thereby improving the accuracy of gesture recognition and preventing the user's limbs from mistakenly entering the gesture recognition range and causing an erroneous gesture signal to be generated.

[0084] In some other embodiments, the gesture recognition unit includes a photoelectric sensor and a plurality of radar sensors, and the arrangement and use of the photoelectric sensor and the plurality of radar sensors are the same as described above.

[0085] In some other embodiments, the trigger module also includes an audio player, which is connected to the controller; when the controller confirms the start or end of the patient's gesture action, and generates a gesture signal, it generates a corresponding audio signal and sends it to the audio player for playing to remind the patient.

[0086] like Figure 4 As shown, in another embodiment of the present invention, the identification weighing module includes:

[0087] Image acquisition unit, weighing unit, display unit and microprocessor;

[0088] The image acquisition unit takes a top-view image of the supporting area of ​​the weighing unit;

[0089] After receiving the execution signal, the microprocessor controls the image acquisition unit to collect overhead image data of the supporting area according to a preset frequency; the microprocessor determines whether the overhead image data meets the preset image conditions;

[0090] If so, the microprocessor controls the weighing unit to collect weight data, and obtains the peritoneal dialysis fluid weight and surface image after confirming that the weight data meets the preset weight conditions;

[0091] The microprocessor obtains several characteristic data including product information, calcium ion concentration, glucose concentration, production date, production number and net weight of the peritoneal dialysis fluid based on the peritoneal dialysis fluid weight and surface image, and displays them on the display unit for the patient to confirm. The patient generates a confirmation signal through the trigger module and sends it to the microprocessor; after receiving the confirmation signal, the microprocessor sends the several characteristic data to the processing module.

[0092] The specific implementation process of this embodiment includes:

[0093] In this embodiment, after receiving the execution signal, the microprocessor controls the image acquisition unit to acquire top view image data of the supporting area at a preset frequency; the preset acquisition frequency is 0.5HZ;

[0094] The microprocessor determines whether the overhead image data meets the preset image conditions, including:

[0095] The microprocessor uses an edge recognition algorithm to obtain edge data in each overhead image. When the overhead image data exceeds the length of a preset first detection time window, the overhead image in each first detection time window is analyzed. In this embodiment, the first detection time window includes five overhead images, i.e., the length of the first detection time window. When the overhead image data exceeds five overhead images, the analysis begins. When the five overhead images in the first detection time window do not meet the preset image conditions, the first detection time window is postponed by one overhead image. That is, the earliest overhead image is deleted and the latest overhead image is added.

[0096] When the information side of the packaging bag in each top-view image within a first detection time window faces upward, the edge data are all the edges of the peritoneal dialysis fluid packaging bag, and each edge of the packaging bag is within the supporting area, it is determined that the top-view image data within the current first detection time window meets the image preset conditions.

[0097] In this embodiment, the text surface on the packaging bag of the peritoneal dialysis solution is the information surface, which is used to obtain several characteristic data of the peritoneal dialysis solution including calcium ion concentration, glucose concentration, manufacturer and production batch number.

[0098] For peritoneal dialysis fluid, the transparent side of the packaging bag is the information side.

[0099] In this embodiment, the several characteristic data also include the infiltration information surface image of the peritoneal dialysis inlet and the outfiltration information surface image of the peritoneal dialysis effluent; the processing module analyzes the infiltration information surface image and the outfiltration information surface image; determines whether the liquid color of the peritoneal dialysis inlet and the peritoneal dialysis effluent is normal, and when the liquid color of the peritoneal dialysis inlet or the peritoneal dialysis effluent is abnormal, generates a reminder message and enters it into the peritoneal dialysis log. A plurality of standard colorimetric cards are arranged in the support area, and the liquid color information is obtained by colorimetrically comparing the peritoneal dialysis inlet and the peritoneal dialysis effluent with the standard colorimetric cards, and determines whether the liquid color of the peritoneal dialysis inlet or the peritoneal dialysis effluent is normal.

[0100] In this embodiment, the microprocessor confirms that the weight data meets the preset weight condition;

[0101] When the weight data exceeds the preset second detection time window length, all weight data in each second detection time window are analyzed; when all weight data in a second detection time window are equal, it is determined that the weight data in the current second detection time window meets the preset weight conditions.

[0102] The second detection time window is set in a similar manner to the first detection time window; in this embodiment, the frequency of collecting weight data is 0.5HZ; the second detection time window includes five weight data, which represents the length of the second detection time window; when the collected weight data reaches five, it is determined whether the five weight data are equal; if not, the first weight data is deleted and the most recent weight data is added and then determined again, and this step is repeated until all weight data in the second detection time window are equal. This makes the weight data of the peritoneal dialysis fluid of the cargo more accurate.

[0103] In another embodiment of the present invention, the trigger module also includes a face recognition unit, which is used to collect facial information of the patient and send it to the edge processor; the edge processor obtains the patient's identity information based on the facial information and verifies it; after verification, the gesture recognition unit collects a preset first gesture or a preset second gesture within the recognition range.

[0104] The specific implementation process of this embodiment includes:

[0105] It should be noted that the face recognition unit does not turn on automatically. After the patient's preset gesture for turning on the face recognition unit is recognized by the gesture recognition unit, the edge processor controls the face recognition unit to turn on.

[0106] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the purpose and scope of the technical solution of the present invention, which should be included in the scope of the claims of the present invention.

Claims

1. A peritoneal dialysis fluid data management system based on peritoneal dialysis, characterized in that: The system comprises: Trigger module, identification and weighing module and processing module; The processing module creates a number of peritoneal dialysis logs according to a number of preset peritoneal dialysis time periods of a natural day, and each peritoneal dialysis log is provided with a log number; The trigger module is used to collect the patient's first preset trigger action in real time within several preset peritoneal dialysis periods of a natural day to generate a trigger signal to wake up the processing module, and collect the patient's second preset trigger action to generate a confirmation signal to send to the identification and weighing module; After receiving the trigger signal, the processing module confirms that the current trigger signal corresponds to the peritoneal dialysis log and generates an execution signal to send to the identification and weighing module; The identification weighing module collects several characteristic data of the peritoneal dialysis fluid for patient confirmation after receiving the execution signal, and sends the several characteristic data to the processing module after receiving the confirmation signal; the several characteristic data include weight data; The processing module marks the log number of several characteristic data of the peritoneal dialysis fluid and enters them into the peritoneal dialysis log for storage. When the peritoneal dialysis log is completed, the processing module generates a completion signal and sends it to the trigger module and the identification and weighing module; The trigger module comprises: Edge processor, NFC communication unit, and gesture recognition unit; When a preset peritoneal dialysis period begins, the edge processor controls the NFC communication unit and the gesture recognition unit to be in a standby state; The first preset triggering action includes the patient controlling the client to communicate with the NFC communication unit, and the patient using a preset first gesture within the recognition range of the gesture recognition unit to be recognized by the gesture recognition unit; The second preset triggering action includes the patient controlling the client to communicate with the NFC communication unit, and the patient using a preset second gesture within the recognition range of the gesture recognition unit to be recognized by the gesture recognition unit; The NFC communication unit obtains the identity information of the client after communicating with the client and sends it to the edge processor; the gesture recognition unit generates a first gesture signal or a second gesture signal after recognizing a preset first gesture or a preset second gesture and sends it to the edge processor; The edge processor generates a trigger signal based on the first gesture signal and the identity information and sends the trigger signal to the processing module; The edge processor generates a confirmation signal based on the second gesture signal and the identity information and sends the confirmation signal to the identification and weighing module; The gesture recognition unit includes a radar sensor, a plurality of photoelectric sensors and a controller; The radar sensor is used to collect radar data and send it to the controller; the multiple photoelectric sensors are used to collect photoelectric data and send it to the controller; The plurality of photoelectric sensors are centered on the radar sensor and are evenly arranged along the circumference of the radar sensor on a plane to form a plurality of sensing paths including a first sensing path and a second sensing path; wherein the preset first gesture and the preset second gesture correspond one-to-one to the first sensing path and the second sensing path; The controller confirms whether the patient's gesture action has started based on the radar data; if so, the controller analyzes the photoelectric data of each photoelectric sensor within a preset time after the gesture action starts to obtain the patient's sensing path; based on the sensing path, confirm the patient's gesture action; based on the patient's gesture action, confirm the corresponding gesture signal; The processing module enters several characteristic data of the patient's first peritoneal dialysis fluid in a peritoneal dialysis period into the peritoneal dialysis log, generates a completion signal and sends it to the trigger module and the identification and weighing module; The processing module enters several characteristic data of the second peritoneal dialysis fluid of the same patient in a peritoneal dialysis period into the peritoneal dialysis log, generates a completion signal and sends it to the trigger module and the identification and weighing module; The trigger module enters a hot standby state upon receiving a completion signal, wherein the hot standby state of the trigger module includes shutting down and automatically starting after a preset peritoneal dialysis time; The identification weighing module enters the cold standby state after receiving the completion signal; the trigger module and the identification weighing module both enter the cold standby state after receiving the completion signal; The cold standby state of the trigger module includes shutting down until the next peritoneal dialysis period arrives and then automatically starting up; the standby state of the identification weighing module includes shutting down and waiting for the execution signal of the processing module before starting up.

2. The peritoneal dialysis fluid data management system based on peritoneal dialysis according to claim 1, characterized in that: The identification and weighing module comprises: Image acquisition unit, weighing unit, display unit and microprocessor; The image acquisition unit takes a top-view image of the supporting area of ​​the weighing unit; After receiving the execution signal, the microprocessor controls the image acquisition unit to collect overhead image data of the supporting area according to a preset frequency; the microprocessor determines whether the overhead image data meets the preset image conditions; If so, the microprocessor controls the weighing unit to collect weight data, and obtains the peritoneal dialysis fluid weight and surface image after confirming that the weight data meets the preset weight conditions; The microprocessor obtains several characteristic data including product information, calcium ion concentration, glucose concentration, production date, production number and net weight of the peritoneal dialysis fluid based on the peritoneal dialysis fluid weight and surface image, and displays them on the display unit for the patient to confirm. The patient generates a confirmation signal through the trigger module and sends it to the microprocessor; after receiving the confirmation signal, the microprocessor sends the several characteristic data to the processing module.

3. The peritoneal dialysis fluid data management system based on peritoneal dialysis according to claim 2, characterized in that: The microprocessor determines whether the overhead image data meets the preset image conditions, including: The microprocessor uses an edge recognition algorithm to obtain edge data in each overhead image, and after the overhead image data exceeds the length of a preset first detection time window; analyzes the overhead image within each first detection time window; When the information side of the packaging bag in each top-view image within a first detection time window faces upward, the edge data are all the edges of the peritoneal dialysis fluid packaging bag, and each edge of the packaging bag is within the supporting area, it is determined that the top-view image data within the current first detection time window meets the image preset conditions.

4. The peritoneal dialysis fluid data management system based on peritoneal dialysis according to claim 3, characterized in that: The microprocessor confirms that the weight data meets the weight preset conditions; When the weight data exceeds the preset second detection time window length, all weight data in each second detection time window are analyzed; when all weight data in a second detection time window are equal, it is determined that the weight data in the current second detection time window meets the preset weight conditions.

5. The peritoneal dialysis fluid data management system based on peritoneal dialysis according to claim 1, characterized in that: Also includes: When the peritoneal dialysis log within the current preset peritoneal dialysis period is completed, the processor module sends the peritoneal dialysis log and the completion signal to the edge processor of the trigger module, and the edge processor sends the peritoneal dialysis log to the client through the NFC communication unit.

6. The peritoneal dialysis fluid data management system based on peritoneal dialysis according to claim 5, characterized in that: The trigger module also includes a face recognition unit, which is used to collect the patient's face information and send it to the edge processor; the edge processor obtains the patient's identity information based on the face information and verifies it; after the verification, the gesture recognition unit collects the preset first gesture or the preset second gesture within the recognition range.

7. The peritoneal dialysis fluid data management system based on peritoneal dialysis according to claim 1, characterized in that: The several items of characteristic data also include an infiltration information plane image of the peritoneal dialysis inlet fluid and an outfiltration information plane image of the peritoneal dialysis outlet fluid; the processing module analyzes the infiltration information plane image and the outfiltration information plane image; determines whether the liquid color of the peritoneal dialysis inlet fluid and the peritoneal dialysis outlet fluid is normal, and when the liquid color of the peritoneal dialysis inlet fluid or the peritoneal dialysis outlet fluid is abnormal, generates a reminder message and enters it into the peritoneal dialysis log.

8. The peritoneal dialysis fluid data management system based on peritoneal dialysis according to claim 1, characterized in that: The trigger module also includes an audio player, and the audio player is connected to the controller; When the controller confirms the start or end of the patient's gesture action, and generates a gesture signal, it generates a corresponding audio signal and sends it to the audio player for playing to remind the patient.

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