CN114912686A - Equipment failure prediction method, computer equipment and storage medium - Google Patents
Equipment failure prediction method, computer equipment and storage medium Download PDFInfo
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Abstract
The present application relates to an apparatus failure prediction method, a computer apparatus, and a storage medium. The method comprises the following steps: firstly, acquiring a purification recommendation parameter of a target device of blood purification equipment, then determining a filtration fraction of a filter of the blood purification equipment according to the purification recommendation parameter, and finally performing fault prediction on the filter according to the filtration fraction and a filtration fraction threshold corresponding to the filter to obtain a fault prediction result. The embodiment predicts whether the filter of the blood purification equipment is in failure according to the filtration fraction and the filtration fraction threshold value, thereby achieving the purpose of identifying the failure of the blood purification equipment in the process of the hemofiltration treatment.
Description
Technical Field
The present application relates to the field of blood purification technology, and in particular, to an apparatus failure prediction method, a computer apparatus, and a storage medium.
Background
Blood purification means: the blood purification equipment leads human blood out of the body, then filters specific molecular substances (such as toxic substances) in the blood, and finally returns the purified blood to the human body so as to achieve the effect of disease treatment. Currently, blood purification can be divided into: a blood perfusion treatment mode, a hemodialysis treatment mode, a plasma replacement treatment mode, a hemofiltration treatment mode and the like, and different blood purification modes can be adapted to different clinical treatment symptoms. The hemofiltration treatment mode is increasingly widely applied to the rescue treatment of patients with renal failure and/or multi-organ failure in intensive care units, and achieves good clinical treatment effect.
In the process of blood filtration treatment, the running state of the blood purification equipment is controlled to realize the blood filtration treatment function of a patient, and various parameters in the process of the blood filtration treatment need to be detected to monitor the safety performance of the blood filtration treatment. The traditional hemofiltration treatment mode can only detect basic parameters such as blood flow rate, remaining treatment time, patient identifier, room identifier, alarm condition and the like, which can only eliminate some most basic faults such as too fast blood flow speed, overtime patient treatment time and the like, but can not identify the fault of the blood purification equipment in the process of the hemofiltration treatment.
Disclosure of Invention
In view of the above, there is a need to provide an apparatus failure prediction method, a computer apparatus, and a storage medium capable of identifying a failure of a blood purification apparatus during a hemofiltration treatment.
In a first aspect, the present application provides a method for predicting a device failure. The method comprises the following steps:
acquiring a purification recommended parameter of a target device of the blood purification equipment;
determining a filtration fraction of a filter of the blood purification apparatus according to the purification recommendation parameter;
and according to the filtering fraction and a filtering fraction threshold value corresponding to the filter, performing fault prediction on the filter to obtain a fault prediction result.
In a second aspect, the present application further provides an apparatus for predicting a device failure. The device comprises:
the acquisition module is used for acquiring purification recommended parameters of a target device of the blood purification equipment;
a determination module for determining a filtration fraction of a filter of the blood purification apparatus according to the purification recommendation parameter;
and the prediction module is used for carrying out fault prediction on the filter according to the filtering fraction and the filtering fraction threshold corresponding to the filter to obtain a fault prediction result.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor implementing the following steps when executing the computer program:
acquiring a purification recommended parameter of a target device of the blood purification equipment;
determining a filtration fraction of a filter of the blood purification apparatus according to the purification recommendation parameter;
and according to the filtering fraction and a filtering fraction threshold value corresponding to the filter, performing fault prediction on the filter to obtain a fault prediction result.
In a fourth aspect, the present application further provides a computer-readable storage medium. The computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
acquiring a purification recommended parameter of a target device of the blood purification equipment;
determining a filtration fraction of a filter of the blood purification apparatus according to the purification recommendation parameter;
and according to the filtering fraction and a filtering fraction threshold value corresponding to the filter, performing fault prediction on the filter to obtain a fault prediction result.
In a fifth aspect, the present application further provides a computer program product. The computer program product comprising a computer program which when executed by a processor performs the steps of:
acquiring a purification recommended parameter of a target device of the blood purification equipment;
determining a filtration fraction of a filter of the blood purification apparatus according to the purification recommendation parameter;
and according to the filtering fraction and a filtering fraction threshold value corresponding to the filter, performing fault prediction on the filter to obtain a fault prediction result.
According to the equipment fault prediction method, the computer equipment and the storage medium, firstly, the purification recommendation parameters of the target device of the blood purification equipment are obtained, then the filtration fraction of the filter of the blood purification equipment is determined according to the purification recommendation parameters, and finally, the fault prediction is carried out on the filter according to the filtration fraction and the filtration fraction threshold corresponding to the filter to obtain the fault prediction result. The embodiment predicts whether the filter of the blood purification equipment is in failure according to the filtration fraction and the filtration fraction threshold value, thereby achieving the purpose of identifying the failure of the blood purification equipment in the process of the hemofiltration treatment.
Drawings
FIG. 1 is a schematic diagram of a hemofiltration treatment mode according to an embodiment of the present disclosure;
fig. 2 is a schematic flowchart of an apparatus failure prediction method according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a blood purification apparatus according to an embodiment of the present application;
FIG. 4 is a diagram illustrating a relationship between a blood chamber volume of a filter and a filter filtration fraction threshold of the filter according to an embodiment of the present disclosure;
fig. 5 is a schematic flow chart of a method for determining a filtration fraction of a filter according to an embodiment of the present disclosure;
FIG. 6 is a schematic flow chart of another method for determining the filtration fraction of a filter according to an embodiment of the present disclosure;
fig. 7 is a schematic flowchart of a method for predicting a failure of a filter according to an embodiment of the present disclosure;
fig. 8 is a schematic flow chart of a transmembrane pressure obtaining method of a filter according to an embodiment of the present disclosure;
FIG. 9 is a schematic flow chart illustrating a method for predicting failure of a second filter according to an embodiment of the present disclosure;
FIG. 10 is a schematic flow chart illustrating a failure prediction method for a third filter according to an embodiment of the present disclosure;
fig. 11 is a schematic flowchart of a failure prediction method of a fourth filter according to an embodiment of the present application;
fig. 12 is a schematic flowchart of a decontamination recommendation parameter acquisition method for a target device according to an embodiment of the present application;
fig. 13 is a schematic diagram of information displayed in a display screen of a blood purification apparatus according to an embodiment of the present application;
fig. 14 is a block diagram illustrating a structure of an apparatus failure prediction device according to an embodiment of the present disclosure;
fig. 15 is an internal structural diagram of a computer device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
FIG. 1 is a schematic diagram of a hemofiltration treatment mode according to an embodiment of the present application, in which a first end of an arterial line is connected to a blood input of a filter and a second end of the arterial line is connected to an artery of a patient; the first end of the venous line is connected with the blood output end of the filter, and the second end of the venous line is used for connecting with the vein of the patient; the first end of the fluid infusion pipeline is connected with a venous pipeline or an arterial pipeline, and the second end of the fluid infusion pipeline is connected with the replacement fluid; the first end of the waste liquid pipeline is connected with the waste liquid output end of the filter, and the second end of the waste liquid pipeline is connected with the waste liquid bag. The arterial line is provided with a blood pump, the waste liquid pipeline is provided with a filtering pump, the liquid supplementing pipeline is provided with a displacement pump, and the blood pump, the filtering pump and the displacement pump all belong to peristaltic pumps. When patient's arterial blood exported to the artery pipeline, the artery pipeline exports blood to the filter in, utilizes the interior hollow fiber membrane both sides of filter to strain the metabolic waste in the blood, exports the blood after will purifying to patient's vein through the venous line to waste liquid is exported to the waste liquid output end through the filter, utilizes the waste liquid pipeline to export waste liquid to the waste liquid bag, stores the waste liquid through the waste liquid bag, in order to realize waste liquid storage function. The replacement liquid is stored in the fluid infusion bag, wherein the replacement liquid contains substances required by the human body, substances for treating related diseases and the like, and the replacement liquid is output to the venous pipeline or the arterial pipeline through the fluid infusion pipeline so as to realize the fluid infusion function. The blood filtration treatment mode removes medium molecular toxins in the blood of a human body by removing metabolic wastes in the blood and supplementing substances required by the human body, related disease treatment substances and the like in the blood, corrects electrolyte and acid-base balance flocculation in the blood and is beneficial to the blood pressure stabilization of a patient in the treatment process.
Based on the principle of a hemofiltration treatment mode, the embodiment of the application provides an equipment failure prediction method. Referring to fig. 2, fig. 2 is a schematic flowchart of an apparatus failure prediction method provided in an embodiment of the present application, where the method is applied to a computer apparatus. The method comprises the following steps:
s101, obtaining purification recommended parameters of a target device of the blood purification equipment.
As shown in fig. 3, fig. 3 is a schematic structural diagram of a blood purification apparatus provided in an embodiment of the present application, the blood purification apparatus includes a display screen and a main board, wherein the display screen is used for displaying various information, and a filter, an arterial line, a venous line, a fluid infusion line, a waste fluid line, a blood pump, a filtration pump, and a substitution pump are disposed on the main board. Target devices include, for example, blood pumps, filtration pumps, and substitution fluid pumps.
When a user outputs a starting instruction and the blood purification equipment is started, the display screen displays the initial purification recommended parameters which are fixedly stored in a memory in the blood purification equipment and obtained according to clinical experience, and the blood purification equipment has higher universality.
S102, determining the filtration fraction of a filter of the blood purification equipment according to the purification recommended parameters.
In this example, the filtration fraction is used to predict whether the hollow fiber membranes in the filter will rupture.
When the blood purification apparatus is activated, the present embodiment calculates the filtration score of the filter according to the initial purification recommended parameter, and may display the filtration score of the filter through the display screen.
S103, according to the filtering fraction and the filtering fraction threshold corresponding to the filter, fault prediction is carried out on the filter to obtain a fault prediction result.
In this embodiment, the filter filtration fraction threshold represents the maximum filtration fraction that the filter can withstand.
As shown in fig. 4, fig. 4 is a schematic diagram of a correspondence relationship between a blood chamber volume of a filter and a filtration fraction threshold of the filter according to an embodiment of the present disclosure, where the filtration fraction threshold of the filter increases and then decreases as the blood chamber volume of the filter increases, and when the blood chamber volume of the filter is detected, the filtration fraction threshold of the filter is determined according to the correspondence relationship in fig. 4. Blood chamber volume refers to the maximum volume of blood that can be contained within the filter, for example the blood chamber volume of the filter is: 1000 ml.
According to the equipment failure prediction method provided by the embodiment, firstly, the purification recommended parameters of the target device of the blood purification equipment are obtained, then, the filtration fraction of the filter of the blood purification equipment is determined according to the purification recommended parameters, and finally, the filter is subjected to failure prediction according to the filtration fraction and the filtration fraction threshold corresponding to the filter to obtain a failure prediction result. The embodiment predicts whether the filter of the blood purification equipment is in failure according to the filtration fraction and the filtration fraction threshold value, thereby achieving the purpose of identifying the failure of the blood purification equipment in the process of the hemofiltration treatment.
Referring to fig. 5, fig. 5 is a schematic flow chart of a method for determining a filtration fraction of a filter according to an embodiment of the present disclosure. This embodiment relates to an alternative implementation of how to determine the filtration fraction of a filter. On the basis of the above embodiment, the purification recommended parameters include the blood flow rate in the arterial line and the waste liquid filtering rate in the waste liquid line of the blood purification device; the above S102 includes the following steps:
s201, if the fluid infusion pipeline is connected with the arterial pipeline, determining a first ratio of the waste liquid filtering rate to the blood flow rate according to the blood flow rate and the waste liquid filtering rate.
In this embodiment, the recommended purification parameters include a blood flow rate and a waste liquid filtering rate, the blood flow rate refers to a flow rate of blood in the arterial line, and the waste liquid filtering rate refers to a rate at which the filter filters waste liquid.
S202, determining the filtration fraction of the filter according to the first ratio and the preset hematocrit.
In this embodiment, the calculation formula of the filtering fraction is as follows:
the hematocrit is a preset value, and for the patients, the hematocrit of each patient is a fixed value, an infrared automatic hematocrit online measuring system can be arranged at the position, close to the blood input end, of the arterial line, and the infrared automatic hematocrit online measuring system can perform online measurement or biochemical detection on the blood of the patients to obtain the hematocrit in the blood in advance.
The method provided by the embodiment calculates the filtration fraction using the purification recommended parameter and the hematocrit, which can be accurately detected, so that an accurate value of the filtration fraction can be obtained, and thus whether the hollow fiber membrane of the filter is broken or not can be accurately predicted using the filtration fraction.
Referring to fig. 6, fig. 6 is a schematic flow chart of another filter filtration fraction determination method provided in the embodiment of the present application. This embodiment relates to an alternative implementation of how to determine the filtration fraction of a filter. On the basis of the above embodiment, the decontamination recommendation parameters include: the blood flow rate in an arterial pipeline in the blood purification equipment, the waste liquid filtering rate in a waste liquid pipeline in the blood purification equipment and the liquid supplementing rate in a liquid supplementing pipeline in the blood purification equipment; the above S102 includes the following steps:
s301, if the fluid infusion pipeline is connected with the venous pipeline, determining a second ratio of the sum of the waste fluid filtering rate and the fluid infusion rate to the blood flow rate.
In this embodiment, the recommended purification parameters include a blood flow rate, a waste fluid filtration rate, and a fluid infusion rate, where the fluid infusion rate refers to a rate at which a substance is infused into the venous line by the fluid infusion line.
And S302, determining the filtration fraction of the filter according to the second ratio and the preset hematocrit.
In this embodiment, the calculation formula of the filtering fraction is as follows:
in this embodiment, an appropriate blood purification apparatus may be selected according to clinical symptoms of a patient, and then the filtering fraction calculation formula in this embodiment or the filtering fraction calculation formula in S202 may be selected according to the selected blood purification apparatus, and an appropriate filtering fraction calculation formula may be selected according to specific situations, so that the accuracy of calculating the filtering fraction may be ensured.
In one embodiment, the fault predicting the filter according to the filtering fraction and the filtering fraction threshold corresponding to the filter to obtain the fault prediction result includes:
and if the filtering fraction is greater than the filtering fraction threshold value, obtaining a fault prediction result of a first fault prediction probability, wherein the fault prediction result of the first fault prediction probability is used for indicating that the probability of the filter failing is greater than a first preset probability threshold value.
In this embodiment, for example, the threshold value of the filtration fraction of the filter is 30%, and when the filtration fraction of the filter is determined to be greater than 30%, it indicates that the filtration fraction of the filter is too large, and if the filtration fraction of the filter is too large, the filter may easily fail due to the rupture of the hollow fiber membrane, which may affect the life of the filter, or may even reduce the therapeutic effect of hemofiltration.
According to the method provided by the embodiment, the fault pre-judgment is carried out by comparing the magnitude relation between the filtration fraction of the filter and the filtration fraction threshold of the filter, so that the membrane rupture fault of the filter is prevented in time, and the smoothness of the hemofiltration treatment process is guaranteed.
Referring to fig. 7, fig. 7 is a schematic flowchart of a failure prediction method of a filter according to an embodiment of the present application. The present embodiment relates to an alternative implementation of how to predict failure of a filter. On the basis of the above embodiment, the above S103 includes the following steps:
s401, if the filtration fraction is larger than the filtration fraction threshold value, acquiring the transmembrane pressure of the filter.
In this embodiment, the transmembrane pressure represents the pressure difference between both sides of the hollow fiber in the filter, and when the transmembrane pressure of the filter is too large, the failure of the filter in which the hollow fiber membrane is broken may occur.
S402, if the transmembrane pressure is larger than a preset transmembrane pressure threshold, obtaining a fault prediction result of a second fault prediction probability, wherein the fault prediction result of the second fault prediction probability is used for indicating that the probability of the filter failing is larger than a second preset probability threshold.
In this embodiment, the transmembrane pressure threshold of the filter represents the maximum pressure difference that can be borne by the hollow fibers in the filter. The transmembrane pressure and the filtration fraction can be simultaneously used for pre-judging whether the hollow fiber in the filter has the risk of membrane rupture, and the transmembrane pressure and the filtration fraction have a certain corresponding relationship, so that the filtration fraction threshold of the filter and the transmembrane pressure threshold of the filter also have a certain corresponding relationship, and the transmembrane pressure threshold of the filter can be set according to the corresponding relationship and the filtration fraction threshold of the filter when the filtration fraction threshold of the filter is obtained.
In the embodiment, after the filtration fraction of the filter is judged to be larger than the filtration fraction threshold value of the filter, whether the hollow fiber membrane has the risk of membrane rupture or not is verified according to the transmembrane pressure, and only when the filter is judged to have a fault according to the transmembrane pressure, an alarm signal is sent out, so that the false alarm phenomenon is reduced; therefore, the embodiment adopts the filtration fraction and the transmembrane pressure to double judge whether the blood purification equipment is possible to break down or not, and prevents the blood purification equipment from generating a false alarm problem.
Referring to fig. 8, fig. 8 is a schematic flow chart of a transmembrane pressure obtaining method of a filter according to an embodiment of the present disclosure. This example relates to an alternative implementation of how the transmembrane pressure of the filter can be obtained. On the basis of the above embodiment, the above S401 includes the following steps:
s501, detecting a first pressure value of a blood input end of the filter, a second pressure value of a waste liquid pipeline in the blood purification equipment and a third pressure value of a venous pipeline in the blood purification equipment.
In this embodiment, the first pressure value is the pre-filter pressure detected by the first pressure sensor on the arterial line, the second pressure value is the extra-membrane pressure detected by the second pressure sensor on the waste liquid line, and the third pressure value is the venous pressure detected by the third pressure sensor on the venous line.
S502, determining the transmembrane pressure of the filter according to the first pressure value, the second pressure value and the third pressure value.
In this embodiment, the calculation formula of the transmembrane pressure is as follows:
transmembrane pressure (first pressure value + third pressure value)/2-second pressure value
The transmembrane pressure of the filter may be obtained by multiplying the result calculated by the equation by a predetermined coefficient.
This embodiment detects first pressure value, second pressure value and third pressure value respectively through three pressure sensor, then calculates the transmembrane pressure according to three pressure value for the transmembrane pressure that obtains is an accurate value, thereby makes the comparison result between transmembrane pressure and the transmembrane pressure threshold value more accurate.
Referring to fig. 9, fig. 9 is a schematic flowchart of a failure prediction method of a second filter according to an embodiment of the present application. The present embodiment relates to an alternative implementation of how to predict the failure of a filter. On the basis of the above embodiment, the above S103 includes the following steps:
s601, if the filtration fraction is smaller than or equal to the filtration fraction threshold value, acquiring the filtration fraction fluctuation range of the filter.
In this example, the filtration fraction fluctuation range of the filter is: the difference between the maximum filtration fraction and the minimum filtration fraction during the hemofiltration treatment.
And S602, if the filtration fraction fluctuation range is larger than the preset filtration fraction fluctuation range, obtaining a fault prediction result of a third fault prediction probability, wherein the fault prediction result of the third fault prediction probability is used for indicating that the probability of the filter failing is larger than a third preset probability threshold.
In this embodiment, when it is determined that the filtration fraction of the filter is less than or equal to the filtration fraction threshold, it is further determined whether the filtration fraction fluctuation range of the filter is greater than a preset filtration fraction fluctuation range, and if the filtration fraction fluctuation range is greater than the preset filtration fraction fluctuation range, it still indicates that the hollow fiber membrane has a possibility of rupture.
According to the method provided by the embodiment, after the filtration fraction is judged to be less than or equal to the filtration fraction threshold value, whether the filtration fraction fluctuation range is greater than the preset filtration fraction fluctuation range is also required to be judged, so that the prediction of whether the hollow fiber membrane has a rupture fault is more accurate, and the safety of the hemofiltration treatment process is more comprehensively ensured.
Referring to fig. 10, fig. 10 is a schematic flowchart of a failure prediction method of a third filter according to an embodiment of the present application. The present embodiment relates to an alternative implementation of how to predict the failure of a filter. On the basis of the above embodiment, the above S103 includes the following steps:
s701, if the flow rate of the blood in the arterial pipeline in the blood purification equipment is in a stable state and the filtration fraction is smaller than the filtration fraction threshold value, obtaining the temperature of the blood in the venous pipeline in the blood purification equipment.
In the process of hemofiltration treatment of a patient, blood of the patient is led out of the body, the blood of the patient flows in an arterial line, a filter and a venous line, the blood in the lines can lose heat outside the body to cause the condition of low temperature or the condition of high blood temperature caused by excessive heating of substances in a fluid infusion line by a heater on the fluid infusion line, and the blood with the low temperature or the high temperature is returned to the body of the patient to cause the patient to have uncomfortable symptoms, even the safety of the hemofiltration treatment of the patient is damaged, so the blood led out of the body needs to be detected.
In this embodiment, only the temperature of the blood in the venous line is detected, because the venous line directly feeds the blood after blood filtration back to the body of the patient, and therefore, whether the temperature of the blood fed back to the body of the patient is too high or too low can be judged by detecting the temperature of the blood in the venous line; the blood in the arterial line can be returned to the patient through the filter and the venous line, and the blood temperature also changes to a large extent in the process, so that the blood temperature in the arterial line cannot represent the blood temperature returned to the patient.
S702, if the temperature of the blood in the venous pipeline is not within the preset temperature range, obtaining a fault prediction result of a fourth fault probability, wherein the fault prediction result of the fourth fault probability is used for indicating that the probability of the filter being in fault is larger than a fourth preset probability threshold.
In this embodiment, the preset temperature range refers to a fluctuation value of the blood temperature in the venous line within a normal range, and the optimal temperature in the venous line during the blood filtration treatment can be determined according to the filtration fraction of the filter, so as to obtain a fluctuation value of the blood temperature in the venous line within a normal range, and therefore a specific corresponding relationship exists between the filtration fraction of the filter and the preset temperature range as shown in table 1.
| Filtration fraction of filter | Preset temperature range |
| 20％ | 30℃～35℃ |
| 25％ | 32℃～37℃ |
| 30％ | 33℃～39℃ |
| 35％ | 34℃～39℃ |
| 40％ | 36℃～39℃ |
TABLE 1
According to the method provided by the embodiment, the temperature of the blood in the venous pipeline can be detected only when the flow velocity of the blood in the arterial pipeline is judged to be in a stable state, and the temperature of the blood in the venous pipeline cannot be detected when the flow velocity of the blood in the arterial pipeline is judged to be in a changing state, because the change of the flow velocity can cause the detected temperature value to be inaccurate when the flow velocity of the blood in the arterial pipeline is changed, and further cause false alarm or lack of alarm in the temperature judgment process, the temperature fault judgment process in the embodiment is only suitable for the situation that the flow velocity of the blood in the arterial pipeline is in the stable state, and the temperature fault judgment precision is guaranteed; and whether the temperature of the blood in the venous pipeline is too high or too low can be accurately known by judging whether the temperature of the blood in the venous pipeline is within a preset temperature range, so that the safety of a patient in the process of hemofiltration treatment is guaranteed.
Referring to fig. 11, fig. 11 is a schematic flowchart of a failure prediction method of a fourth filter according to an embodiment of the present application. The present embodiment relates to an alternative implementation of how to predict the failure of a filter. On the basis of the above embodiment, the above S103 includes the following steps:
s801, acquiring the variation trend of the blood flow speed in the arterial line of the blood purification device.
In this embodiment, since the blood to be output from the body passes through the arterial line and then passes through the filter, the variation trend of the blood flow rate in the arterial line can represent the variation trend of the blood flow rate in the filter.
S802, determining the state of the blood flow velocity in the arterial line according to the variation trend of the blood flow velocity.
The blood flow rate in the arterial line may be in a steady state, in which the blood flow rate in the arterial line remains constant, or in a fluctuating state, in which the blood flow rate in the arterial line increases or decreases.
And S803, if the state of the blood flow velocity in the arterial line is in a changing state, adjusting the filtering fraction threshold corresponding to the filter to obtain the adjusted filtering fraction threshold.
In this embodiment, since the maximum pressure that the hollow fiber membrane can withstand changes when the flow rate of blood in the arterial line changes, the filtering fraction threshold determined from the blood chamber volume in S103 cannot be applied to the determination in a changing state, and at this time, the filtering fraction threshold needs to be calibrated. Specifically, if the flow rate of the blood in the arterial line is judged to be in a flow rate increasing state, the flow rate of the blood in the filter is higher, the pressure applied to the hollow fiber membrane is reduced when the flow rate is higher, and the filtration fraction threshold value of the filter is increased at the moment; if the flow rate of the blood in the arterial line is judged to be in a flow rate reduction state, the flow rate of the blood in the filter is slower, the pressure applied to the hollow fiber membrane is increased when the flow rate is slowed, and the filtration fraction threshold value of the filter is adjusted to be lower.
S804, according to the filtering fraction and the filtering fraction threshold value corresponding to the filter, performing fault prediction on the filter to obtain a fault prediction result, wherein the fault prediction result comprises the following steps:
and according to the filtering fraction and the adjusted filtering fraction threshold value, performing fault prediction on the filter to obtain a fault prediction result.
In this embodiment, the magnitude between the filtration fraction and the adjusted filtration fraction threshold value is compared, and if the filtration fraction is greater than the adjusted filtration fraction threshold value, it is determined that the hollow fiber membrane has a possibility of rupture. For example, if the filtration fraction threshold determined from the blood chamber volume is 30%, the filtration fraction threshold is adjusted to 40% in a state where the flow rate in the arterial line is increased, and if the filtration fraction of the filter is determined to be greater than 40%, it is determined that the hollow fiber membrane is likely to be broken.
According to the method provided by the embodiment, when the flow velocity of blood in the arterial line is in a changing state, the filtration fraction threshold value can be adjusted according to the change condition of the flow velocity in the arterial line, and the adjusted filtration fraction threshold value can be used for more accurately predicting whether the hollow fiber membrane of the filter breaks or not, so that the safety of a patient in the hemofiltration treatment process is improved.
Referring to fig. 12, fig. 12 is a schematic flowchart of a method for obtaining recommended parameters for decontamination of a target device according to an embodiment of the present application. This embodiment relates to an alternative implementation of how to obtain the decontamination recommendation parameter for the target device. On the basis of the above embodiment, the above S101 includes the following steps:
s901, receiving an adjusting instruction of a purification recommended parameter aiming at a target device, wherein the target device comprises at least one of a first power pump arranged on an arterial pipeline, a second power pump arranged on a waste liquid pipeline and a third power pump arranged on a liquid supplementing pipeline in the blood purification equipment.
In this embodiment, the first power pump refers to a blood pump on an arterial pipeline, the second power pump refers to a filtration pump on a waste liquid pipeline, and the third power pump refers to a substitution liquid pump on a liquid supplementing pipeline; the blood pump runs according to the blood flow speed, the filtering pump runs according to the waste liquid filtering rate, and the replacement liquid pump runs according to the liquid supplementing rate.
As shown in fig. 13, fig. 13 is a schematic diagram of information displayed in a display screen of a blood purification apparatus provided in this embodiment of the present application, where the display screen includes a scrolling character or a pop-up window, a text box of a blood flow rate setting value, a text box of a dehydration rate setting value, a text box of a replacement rate setting value, a text box of a filtration fraction, a parameter up-adjustment button, and a parameter down-adjustment button, where the blood flow rate setting value refers to a blood flow rate in the purification recommendation parameter, the dehydration rate setting value refers to a waste liquid filtration rate in the purification recommendation parameter, and the replacement rate setting value refers to a liquid replacement rate in the purification recommendation parameter.
And S902, adjusting the purification recommended parameters of the target power pump according to the adjusting instruction to obtain the adjusted purification recommended parameters.
In this embodiment, after the user selects any one of the text boxes of the blood flow rate set value, the dehydration rate set value, and the replacement rate set value on the display screen, the user triggers the parameter up-adjustment button or the parameter down-adjustment button according to the selected text box, and the numerical value in the text box is increased or decreased according to the preset step length, so as to obtain the corresponding adjusted purification recommended parameter. For example, the blood flow rate set point displayed on the display screen is: 120ml/h, the preset step length in the parameter adjusting process of the blood flow rate set value is 10, when a user selects a text box of the blood flow rate set value and presses a parameter up-regulation button for one time, the blood flow rate set value of the blood purifying equipment is increased to 130ml/h according to the preset step length, and if the user presses a parameter down-regulation button for one time, the blood flow rate set value of the blood purifying equipment is decreased to 110ml/h according to the preset step length.
And S903, taking the adjusted purification recommended parameters as the purification recommended parameters of the target device.
In this embodiment, the three power pumps are operated according to the corresponding adjusted purification recommended parameters, respectively. For example, when the blood flow rate is adjusted from 120ml/h to 130ml/h, the blood pump will operate at a blood flow rate of 130 ml/h.
According to the method provided by the embodiment, the three power pumps respectively operate according to the corresponding adjusted purification recommended parameters, so that the continuity and stability of the hemofiltration treatment process of the patient can be ensured; the user can be according to the physiological characteristic parameter of patient in the treatment process real-time adjustment purification recommendation parameter on the display screen, the simple operation.
In some embodiments, the method further comprises:
and outputting an alarm signal according to the failure prediction result, wherein the alarm signal is used for indicating a user to adjust the decontamination recommendation parameter of the target device.
In this embodiment, the alarm signal includes an irritating alarm sound and alarm words displayed on the display screen.
According to the method provided by the embodiment, when the possibility of the blood purification equipment having faults is predicted, the blood purification equipment can send out an alarm signal to prompt a user to avoid the faults by adjusting the purification recommended parameters, so that the service life of the blood purification equipment can be prolonged, and the safety of a patient in the blood filtration treatment process is improved.
It should be understood that, although the steps in the flowcharts related to the embodiments as described above are sequentially displayed as indicated by arrows, the steps are not necessarily performed sequentially as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in the flowcharts related to the embodiments described above may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the execution order of the steps or stages is not necessarily sequential, but may be rotated or alternated with other steps or at least a part of the steps or stages in other steps.
Based on the same inventive concept, the embodiment of the present application further provides an apparatus failure prediction device for implementing the apparatus failure prediction method. The implementation scheme for solving the problem provided by the apparatus is similar to the implementation scheme described in the method, so the specific limitations in one or more embodiments of the apparatus failure prediction apparatus provided below may refer to the limitations on the apparatus failure prediction method in the foregoing, and are not described herein again.
In one embodiment, as shown in fig. 14, there is provided an apparatus 1400 for device failure prediction, comprising: a first obtaining module 1401, a first determining module 1402 and a predicting module 1403, wherein:
a first obtaining module 1401 for obtaining recommended purification parameters of a target device of the blood purification apparatus.
A first determination module 1402 for determining a filtration fraction of a filter of the blood purification apparatus according to the purification recommendation parameter.
And a prediction module 1403, configured to perform fault prediction on the filter according to the filtering fraction and the filtering fraction threshold corresponding to the filter to obtain a fault prediction result.
In one embodiment, the purification recommendation parameters include a blood flow rate in an arterial line and a waste fluid filtering rate in a waste fluid line of the blood purification apparatus, and the determining module 1402 includes:
the first determining unit is used for determining a first ratio of the waste liquid filtering rate to the blood flow rate according to the blood flow rate and the waste liquid filtering rate if the fluid infusion pipeline is connected with the arterial pipeline;
and the second determining unit is used for determining the filtration fraction of the filter according to the first ratio and the preset hematocrit.
In one embodiment, the purification recommendation parameter further includes a fluid replacement rate in a fluid replacement line in the blood purification apparatus; the determining module 1402 includes:
a third determining unit, configured to determine a second ratio between the sum of the waste liquid filtering rate and the fluid infusion rate and the blood flow rate if the fluid infusion line is connected to the venous line;
and the fourth determining unit is used for determining the filtration fraction of the filter according to the second ratio and the preset hematocrit.
In an embodiment, the prediction module 1403 is specifically configured to obtain a failure prediction result of a first failure prediction probability if the filtering score is greater than the filtering score threshold, where the failure prediction result of the first failure prediction probability is used to indicate that the probability of the filter failing is greater than a first preset probability threshold.
In one embodiment, prediction module 1403 includes:
a first obtaining unit configured to obtain a transmembrane pressure of a filter if the filtration fraction is greater than the filtration fraction threshold;
the first obtaining unit is used for obtaining a fault prediction result of a second fault prediction probability if the transmembrane pressure is greater than a preset transmembrane pressure threshold, wherein the fault prediction result of the second fault prediction probability is used for indicating that the probability of the filter failing is greater than a second preset probability threshold.
In one embodiment, the first obtaining unit includes:
a detection subunit, configured to detect a first pressure value at a blood input end of the filter, a second pressure value at a waste liquid line of the blood purification apparatus, and a third pressure value at a venous line of the blood purification apparatus;
a determining subunit, configured to determine a transmembrane pressure of the filter according to the first pressure value, the second pressure value, and the third pressure value.
In one embodiment, prediction module 1403 includes:
a second acquisition unit configured to acquire a filtration fraction fluctuation range of the filter if the filtration fraction is less than or equal to the filtration fraction threshold;
and the second obtaining unit is used for obtaining a fault prediction result of a third fault prediction probability if the filtering fraction fluctuation range is larger than a preset filtering fraction fluctuation range, wherein the fault prediction result of the third fault prediction probability is used for indicating that the probability of the filter failing is larger than a third preset probability threshold.
In one embodiment, prediction module 1403 includes:
a third obtaining unit, configured to obtain a temperature of blood in a venous line of the blood purification apparatus if a flow rate of blood in an arterial line of the blood purification apparatus is in a stable state and the filtration fraction is smaller than the filtration fraction threshold;
a third obtaining unit, configured to obtain a failure prediction result of a fourth failure probability if the temperature of the blood in the intravenous line is not within a preset temperature range, where the failure prediction result of the fourth failure prediction probability is used to indicate that the probability of failure of the filter is greater than a fourth preset probability threshold.
In one embodiment, the apparatus 1400 may further include:
the second acquisition module is used for acquiring the variation trend of the blood flow rate in the arterial pipeline of the blood purification equipment;
the second determination module is used for determining the state of the blood flow velocity in the arterial line according to the variation trend of the blood flow velocity;
the adjusting module is used for adjusting the filtering fraction threshold corresponding to the filter to obtain an adjusted filtering fraction threshold if the state of the blood flow velocity in the arterial line is in a changing state;
correspondingly, the prediction module 1403 is specifically configured to perform fault prediction on the filter according to the filtering fraction and the adjusted filtering fraction threshold value to obtain the fault prediction result.
In one embodiment, the first obtaining module 1401 comprises:
the receiving unit is used for receiving an adjusting instruction of a purification recommended parameter of the target device, wherein the target device comprises at least one of a first power pump arranged on an arterial pipeline, a second power pump arranged on a waste liquid pipeline and a third power pump arranged on a fluid replacement pipeline in the blood purification equipment;
the adjusting unit is used for adjusting the purification recommended parameters of the target power pump according to the adjusting instruction to obtain the adjusted purification recommended parameters;
and the obtaining unit is used for taking the adjusted purification recommended parameters as the purification recommended parameters of the target device.
In one embodiment, the apparatus 1400 further comprises:
and the output module is used for outputting an alarm signal according to the fault prediction result, wherein the alarm signal is used for indicating a user to adjust the purification recommended parameters of the target device.
The modules in the device failure prediction apparatus may be implemented in whole or in part by software, hardware, and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 15. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used to store blood purification data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a device failure prediction method.
Those skilled in the art will appreciate that the architecture shown in fig. 15 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
acquiring a purification recommended parameter of a target device of the blood purification equipment;
determining a filtration fraction of a filter of the blood purification apparatus according to the purification recommendation parameter;
and according to the filtering fraction and a filtering fraction threshold value corresponding to the filter, performing fault prediction on the filter to obtain a fault prediction result.
In one embodiment, the processor when executing the computer program further performs the steps of:
if the fluid infusion pipeline is connected with the arterial pipeline, determining a first ratio of the waste liquid filtering rate to the blood flow rate according to the blood flow rate and the waste liquid filtering rate; and determining the filtration fraction of the filter according to the first ratio and a preset hematocrit.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
if the fluid infusion pipeline is connected with the venous pipeline, determining a second ratio of the sum of the waste fluid filtering rate and the fluid infusion rate to the blood flow rate; and determining the filtration fraction of the filter according to the second ratio and the preset hematocrit.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
and if the filtering fraction is greater than the filtering fraction threshold value, obtaining a fault prediction result of a first fault prediction probability, wherein the fault prediction result of the first fault prediction probability is used for indicating that the probability of the filter failing is greater than a first preset probability threshold value.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
if the filtration fraction is larger than the filtration fraction threshold value, acquiring the transmembrane pressure of the filter; and if the transmembrane pressure is greater than a preset transmembrane pressure threshold, obtaining a fault prediction result of a second fault prediction probability, wherein the fault prediction result of the second fault prediction probability is used for indicating that the probability of the filter failing is greater than a second preset probability threshold.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
detecting a first pressure value at a blood input end of the filter, a second pressure value on a waste liquid pipeline in the blood purification device and a third pressure value on a venous pipeline in the blood purification device; determining a transmembrane pressure of the filter according to the first pressure value, the second pressure value and the third pressure value.
In one embodiment, the processor when executing the computer program further performs the steps of:
if the filtration fraction is smaller than or equal to the filtration fraction threshold value, acquiring a filtration fraction fluctuation range of the filter; and if the filtering fraction fluctuation range is larger than a preset filtering fraction fluctuation range, obtaining a fault prediction result of a third fault prediction probability, wherein the fault prediction result of the third fault prediction probability is used for indicating that the probability of the filter failing is larger than a third preset probability threshold value.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
if the flow rate of the blood in the arterial pipeline in the blood purification equipment is in a stable state and the filtration fraction is smaller than the filtration fraction threshold value, acquiring the temperature of the blood in the venous pipeline in the blood purification equipment; and if the temperature of the blood in the venous pipeline is not within the preset temperature range, obtaining a failure prediction result of a fourth failure probability, wherein the failure prediction result of the fourth failure prediction probability is used for indicating that the probability of the filter failing is greater than a fourth preset probability threshold.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
acquiring the variation trend of the blood flow speed in an arterial pipeline in the blood purification equipment; determining the state of the blood flow velocity in the arterial line according to the variation trend of the blood flow velocity; if the state of the blood flow velocity in the arterial pipeline is in a changing state, adjusting a filtration fraction threshold corresponding to the filter to obtain an adjusted filtration fraction threshold; the fault prediction of the filter according to the filtering fraction and the filtering fraction threshold corresponding to the filter to obtain a fault prediction result comprises the following steps: and according to the filtering fraction and the adjusted filtering fraction threshold value, carrying out fault prediction on the filter to obtain the fault prediction result.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
receiving an adjustment instruction of a purification recommended parameter for the target device, wherein the target device comprises at least one of a first power pump arranged on an arterial line, a second power pump arranged on a waste liquid line and a third power pump arranged on a fluid replacement line in the blood purification equipment; adjusting the purification recommended parameters of the target power pump according to the adjusting instruction to obtain the adjusted purification recommended parameters; and taking the adjusted purification recommended parameters as the purification recommended parameters of the target device.
In one embodiment, the processor when executing the computer program further performs the steps of:
and outputting an alarm signal according to the failure prediction result, wherein the alarm signal is used for indicating a user to adjust the purification recommendation parameter of the target device.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring a purification recommended parameter of a target device of the blood purification equipment;
determining a filtration fraction of a filter of the blood purification apparatus according to the purification recommendation parameter;
and according to the filtering fraction and the filtering fraction threshold value corresponding to the filter, carrying out fault prediction on the filter to obtain a fault prediction result.
In one embodiment, the computer program when executed by the processor further performs the steps of:
if the fluid infusion pipeline is connected with the arterial pipeline, determining a first ratio of the waste liquid filtering rate to the blood flow rate according to the blood flow rate and the waste liquid filtering rate; and determining the filtration fraction of the filter according to the first ratio and a preset hematocrit.
In one embodiment, the computer program when executed by the processor further performs the steps of:
if the fluid infusion pipeline is connected with the venous pipeline, determining a second ratio of the sum of the waste fluid filtering rate and the fluid infusion rate to the blood flow rate; and determining the filtration fraction of the filter according to the second ratio and the preset hematocrit.
In one embodiment, the computer program when executed by the processor further performs the steps of:
and if the filtering fraction is greater than the filtering fraction threshold value, obtaining a fault prediction result of a first fault prediction probability, wherein the fault prediction result of the first fault prediction probability is used for indicating that the probability of the filter failing is greater than a first preset probability threshold value.
In one embodiment, the computer program when executed by the processor further performs the steps of:
if the filtration fraction is larger than the filtration fraction threshold value, acquiring the transmembrane pressure of the filter; and if the transmembrane pressure is greater than a preset transmembrane pressure threshold, obtaining a fault prediction result of a second fault prediction probability, wherein the fault prediction result of the second fault prediction probability is used for indicating that the probability of the filter failing is greater than a second preset probability threshold.
In one embodiment, the computer program when executed by the processor further performs the steps of:
detecting a first pressure value at a blood input end of the filter, a second pressure value on a waste liquid pipeline in the blood purification device and a third pressure value on a venous pipeline in the blood purification device; determining a transmembrane pressure of the filter according to the first pressure value, the second pressure value and the third pressure value.
In one embodiment, the computer program when executed by the processor further performs the steps of:
if the filtration fraction is smaller than or equal to the filtration fraction threshold value, acquiring a filtration fraction fluctuation range of the filter; and if the filtering fraction fluctuation range is larger than a preset filtering fraction fluctuation range, obtaining a fault prediction result of a third fault prediction probability, wherein the fault prediction result of the third fault prediction probability is used for indicating that the probability of the filter failing is larger than a third preset probability threshold.
In one embodiment, the computer program when executed by the processor further performs the steps of:
if the flow rate of the blood in the arterial pipeline in the blood purification equipment is in a stable state and the filtration fraction is smaller than the filtration fraction threshold value, acquiring the temperature of the blood in the venous pipeline in the blood purification equipment; and if the temperature of the blood in the venous pipeline is not within the preset temperature range, obtaining a failure prediction result of a fourth failure probability, wherein the failure prediction result of the fourth failure prediction probability is used for indicating that the probability of the filter failing is greater than a fourth preset probability threshold.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring the variation trend of the blood flow speed in an arterial pipeline in the blood purification equipment; determining the state of the blood flow velocity in the arterial line according to the variation trend of the blood flow velocity; if the state of the blood flow velocity in the arterial line is in a changing state, adjusting the filtering fraction threshold corresponding to the filter to obtain an adjusted filtering fraction threshold; the fault prediction of the filter according to the filtering fraction and the filtering fraction threshold corresponding to the filter to obtain a fault prediction result comprises the following steps: and according to the filtering fraction and the adjusted filtering fraction threshold value, carrying out fault prediction on the filter to obtain the fault prediction result.
In one embodiment, the computer program when executed by the processor further performs the steps of:
receiving an adjustment instruction of a purification recommended parameter for the target device, wherein the target device comprises at least one of a first power pump arranged on an arterial line, a second power pump arranged on a waste liquid line and a third power pump arranged on a fluid replacement line in the blood purification equipment; adjusting the purification recommended parameters of the target power pump according to the adjusting instruction to obtain the adjusted purification recommended parameters; and taking the adjusted purification recommended parameters as the purification recommended parameters of the target device.
In one embodiment, the computer program when executed by the processor further performs the steps of:
and outputting an alarm signal according to the failure prediction result, wherein the alarm signal is used for indicating a user to adjust the purification recommendation parameter of the target device.
In one embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the device failure prediction method provided by the above embodiments.
It should be noted that, the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high-density embedded nonvolatile Memory, resistive Random Access Memory (ReRAM), Magnetic Random Access Memory (MRAM), Ferroelectric Random Access Memory (FRAM), Phase Change Memory (PCM), graphene Memory, and the like. Volatile Memory can include Random Access Memory (RAM), external cache Memory, and the like. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others. The databases involved in the embodiments provided herein may include at least one of relational and non-relational databases. The non-relational database may include, but is not limited to, a block chain based distributed database, and the like. The processors referred to in the various embodiments provided herein may be, without limitation, general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, or the like.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.
Claims (10)
1. A method for predicting a failure of a device, the method comprising:
acquiring a purification recommended parameter of a target device of the blood purification equipment;
determining a filtration fraction of a filter of the blood purification device according to the purification recommendation parameter;
and according to the filtering fraction and a filtering fraction threshold value corresponding to the filter, performing fault prediction on the filter to obtain a fault prediction result.
2. The method of claim 1, wherein the predicting the failure of the filter according to the filtering fraction and a filtering fraction threshold corresponding to the filter to obtain a failure prediction result comprises:
and if the filtering fraction is greater than the filtering fraction threshold value, obtaining a fault prediction result of a first fault prediction probability, wherein the fault prediction result of the first fault prediction probability is used for indicating that the probability of the filter failing is greater than a first preset probability threshold value.
3. The method of claim 1, wherein the predicting the failure of the filter according to the filtering fraction and a filtering fraction threshold corresponding to the filter to obtain a failure prediction result comprises:
if the filtration fraction is larger than the filtration fraction threshold value, acquiring the transmembrane pressure of the filter;
and if the transmembrane pressure is greater than a preset transmembrane pressure threshold, obtaining a fault prediction result of a second fault prediction probability, wherein the fault prediction result of the second fault prediction probability is used for indicating that the probability of the filter failing is greater than a second preset probability threshold.
4. The method of claim 3, wherein said obtaining a transmembrane pressure of the filter comprises:
detecting a first pressure value at a blood input end of the filter, a second pressure value on a waste liquid pipeline in the blood purification device and a third pressure value on a venous pipeline in the blood purification device;
determining a transmembrane pressure of the filter according to the first pressure value, the second pressure value and the third pressure value.
5. The method of claim 1, wherein the predicting the failure of the filter according to the filtering fraction and a filtering fraction threshold corresponding to the filter to obtain a failure prediction result comprises:
if the filtration fraction is smaller than or equal to the filtration fraction threshold value, acquiring a filtration fraction fluctuation range of the filter;
and if the filtering fraction fluctuation range is larger than a preset filtering fraction fluctuation range, obtaining a fault prediction result of a third fault prediction probability, wherein the fault prediction result of the third fault prediction probability is used for indicating that the probability of the filter failing is larger than a third preset probability threshold.
6. The method of claim 1, wherein the predicting the failure of the filter according to the filtering fraction and a filtering fraction threshold corresponding to the filter to obtain a failure prediction result comprises:
if the flow rate of the blood in the arterial pipeline in the blood purification equipment is in a stable state and the filtration fraction is smaller than the filtration fraction threshold value, acquiring the temperature of the blood in the venous pipeline in the blood purification equipment;
and if the temperature of the blood in the venous pipeline is not within the preset temperature range, obtaining a failure prediction result of a fourth failure probability, wherein the failure prediction result of the fourth failure prediction probability is used for indicating that the probability of the filter failing is greater than a fourth preset probability threshold.
7. The method according to any one of claims 1-6, further comprising:
acquiring the variation trend of the blood flow speed in an arterial pipeline in the blood purification equipment;
determining the state of the blood flow velocity in the arterial line according to the variation trend of the blood flow velocity;
if the state of the blood flow velocity in the arterial line is in a changing state, adjusting the filtering fraction threshold corresponding to the filter to obtain an adjusted filtering fraction threshold;
the fault prediction of the filter according to the filtering fraction and the filtering fraction threshold corresponding to the filter to obtain a fault prediction result comprises the following steps:
and according to the filtering fraction and the adjusted filtering fraction threshold value, carrying out fault prediction on the filter to obtain the fault prediction result.
8. The method according to any one of claims 1-6, wherein the obtaining of the decontamination recommendation parameter for the target device of the blood decontamination apparatus comprises:
receiving an adjustment instruction of a purification recommended parameter for the target device, wherein the target device comprises at least one of a first power pump arranged on an arterial line, a second power pump arranged on a waste liquid line and a third power pump arranged on a fluid replacement line in the blood purification equipment;
adjusting the purification recommended parameters of the target power pump according to the adjusting instruction to obtain the adjusted purification recommended parameters;
and taking the adjusted purification recommended parameters as the purification recommended parameters of the target device.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 8.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 8.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040129616A1 (en) * | 2002-11-14 | 2004-07-08 | Nikkiso Co. Ltd. | Blood purification device |
| US20080316013A1 (en) * | 2004-07-08 | 2008-12-25 | Andrew Corporation | Supervising Arrangement |
| CN112819083A (en) * | 2021-02-07 | 2021-05-18 | 三一重工股份有限公司 | Hydraulic pump fault prediction method, hydraulic pump fault prediction device, electronic equipment and storage medium |
| CN113975508A (en) * | 2021-11-26 | 2022-01-28 | 健帆生物科技集团股份有限公司 | Method for determining failure of blood purification apparatus, and storage medium |
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2022
- 2022-05-17 CN CN202210534428.9A patent/CN114912686A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040129616A1 (en) * | 2002-11-14 | 2004-07-08 | Nikkiso Co. Ltd. | Blood purification device |
| US20080316013A1 (en) * | 2004-07-08 | 2008-12-25 | Andrew Corporation | Supervising Arrangement |
| CN112819083A (en) * | 2021-02-07 | 2021-05-18 | 三一重工股份有限公司 | Hydraulic pump fault prediction method, hydraulic pump fault prediction device, electronic equipment and storage medium |
| CN113975508A (en) * | 2021-11-26 | 2022-01-28 | 健帆生物科技集团股份有限公司 | Method for determining failure of blood purification apparatus, and storage medium |
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