CN114822802A - ECMO equipment monitoring method, system, equipment and storage medium - Google Patents
ECMO equipment monitoring method, system, equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the invention provides a method, a system, equipment and a storage medium for monitoring ECMO equipment, wherein different monitoring strategies are selected by identifying the type of monitoring information, so that various faults of the ECMO equipment are continuously monitored; and if the current equipment has faults, alarming and prompting the faults. The embodiment of the invention is not easy to send false alarm, the operator can easily obtain the alarm prompt when sending the fault, and can adjust in time according to the alarm prompt information, thereby reducing the experience requirement of the operator on the use of the ECMO equipment and improving the safety of the ECMO.
Description
Technical Field
The embodiment of the invention relates to the technical field of ECMO equipment monitoring, in particular to an ECMO equipment monitoring method, system, equipment and storage medium.
Background
When the ECMO medical equipment is used clinically, the ECMO (Extracorporeal Membrane Oxygenation) equipment is required to monitor data such as pressure values, flow rates, bubbles, temperature values and blood oxygen saturation, and the ECMO equipment is also required to judge whether hardware of the equipment normally operates or not, because detected data are more and the data are changed in real time, a clinician or a nurse can acquire fault information at the first time when an abnormality occurs, or a machine automatically processes the abnormality and gives an alarm quickly when the abnormality occurs, and the risk of an operation can be reduced. The ECMO alarm system commonly available in the current market has various problems that false alarm is easy to occur, the alarm content is not detailed enough or the alarm is not timely.
Disclosure of Invention
Therefore, embodiments of the present invention provide a method, a system, a device and a storage medium for monitoring an ECMO device, so as to solve the technical problems in the prior art that an ECMO device is easy to perform false alarm or the alarm content is not detailed enough or the alarm is not timely.
In order to achieve the above object, the embodiments of the present invention provide the following technical solutions:
according to a first aspect of an embodiment of the present invention, an embodiment of the present application provides a method for monitoring an ECMO device, where the method includes:
acquiring monitoring information of current equipment;
judging the type of monitoring information, wherein the type of the monitoring information comprises the following steps: data monitoring information and communication monitoring information;
selecting a corresponding monitoring strategy according to the monitoring information category, and identifying whether the current equipment has a fault;
if the current equipment has no fault, acquiring monitoring information of the equipment at the next moment and continuously monitoring;
and if the current equipment has faults, alarming and prompting the faults.
Further, selecting a corresponding monitoring strategy according to the monitoring information category, and identifying whether the current device has a fault, including:
when the monitoring information type is data monitoring information, a first monitoring strategy is adopted;
continuously sampling the acquired data of the same type to form a sampling value queue;
each time new data is sampled, updating the sampling value queue by using the new data;
calculating a first average value of all sampling values in the updated sampling value queue;
judging whether the first average value exceeds an alarm limit value or not;
if the first average value exceeds an alarm limit value, identifying that the current equipment has a fault;
and if the first average value does not exceed the alarm limit value, identifying that no fault exists in the current equipment.
Further, updating the sample value queue with the new data includes:
judging whether the number of the sampling values in the queue before updating reaches a preset number or not;
if the number of the sampling values in the queue before updating does not reach the preset number, directly storing the new data at the tail of the corresponding queue to finish the updating of the queue;
and if the number of the sampling values in the queue before updating reaches the preset number, storing the new data to the tail of the corresponding queue, removing the data at the head of the queue from the corresponding queue, and finishing the updating of the queue.
Further, identifying whether the current device has a fault by using a first monitoring strategy, further comprising:
recording a first accumulated number x of times that the alarm limit value is exceeded;
calculating the percentage of a new data sampling value to the first average value every time new data is sampled;
judging whether the percentage exceeds a first preset value or not, and recording a second accumulated time i when the percentage exceeds the first preset value;
if the percentage does not exceed a preset value, updating the sampling value queue by using the new data, taking a value obtained by subtracting 1 from the current first accumulated time x as a first updated value of the first accumulated time x, and taking a value obtained by subtracting 1 from the current second accumulated time i as a second updated value of the second accumulated time i;
if the percentage exceeds a first preset value, judging whether a new data sampling value exceeds the alarm limit value;
if the new data sampling value does not exceed the alarm limit value, taking the value obtained by subtracting 1 from the current first accumulated time x as a third updated value of the first accumulated time x, and taking the value obtained by adding 1 to the current second accumulated time i as a fourth updated value of the second accumulated time i;
judging whether the fourth updated value exceeds a second preset value y of the first accumulated times x or not;
if the fourth updated value exceeds a second preset value y, updating the sampling value queue by using the new data;
if the fourth update value does not exceed the second preset value y, the new data is discarded.
Further, identifying whether the current device has a fault by using a first monitoring strategy, further comprising:
if the new data sampling value exceeds the alarm limit value, taking the value obtained by adding 1 to the current first accumulated time x as a fifth updated value of the first accumulated time x;
judging whether the fifth update value exceeds a second preset value y of the first accumulated times x or not;
if the fifth updated value exceeds a second preset value y, identifying that the current equipment has a fault;
and if the fifth updated value does not exceed the second preset value y, identifying that no fault exists in the current equipment.
Further, according to the monitoring information category, selecting a corresponding monitoring strategy, and identifying whether the current device has a fault, the method further includes:
when the monitoring information type is communication monitoring information, a second monitoring strategy is adopted;
judging whether the equipment communication is successful according to the acquired communication state, and recording the total communication failure accumulated times m and the communication failure accumulated times j in the preset time;
if the equipment communication is successful, identifying that no fault exists in the current equipment, taking a value obtained by subtracting 1 from the current communication failure accumulated total number m as a sixth updated value of the communication failure accumulated total number m, and taking a value obtained by subtracting 1 from the communication failure accumulated number j in the current preset time as a seventh updated value of the communication failure accumulated number j in the preset time;
if the equipment communication is unsuccessful, taking the value of the current communication failure accumulated total times m plus 1 as an eighth update value of the communication failure accumulated total times m;
judging whether the eighth updated value exceeds a third preset value n of the total number m of communication failures;
if the eighth updated value exceeds the third preset value n, identifying that the current equipment has a fault;
if the eighth update value does not exceed the third preset value n, taking a value obtained by adding 1 to the communication failure accumulated time j in the current preset time as a ninth update value of the communication failure accumulated time j in the preset time;
judging whether the ninth updated value exceeds the third preset value n;
if the ninth updated value exceeds the third preset value n, identifying that the current equipment has a fault;
and if the ninth updated value does not exceed the third preset value n, identifying that no fault exists in the current equipment.
Further, the alarming and prompting of the fault comprises the following steps:
acquiring at least one fault code based on the monitoring information;
comparing the newly acquired fault code with the fault code acquired last time, and judging whether the two are consistent;
if the newly acquired fault code is inconsistent with the fault code acquired last time, updating the original fault code and the total number of faults by using the newly acquired fault code;
outputting the highest-grade voice prompt and the light-on prompt, and adding an alarm record;
if the newly acquired fault code is consistent with the fault code acquired last time, judging the fault grade corresponding to each fault code and whether the same fault grade exists in each fault code;
if the same fault level exists, the faults of the same fault level are displayed in a polling mode, and the faults of different fault levels are displayed simultaneously;
if the same fault level does not exist, faults of different fault levels are displayed simultaneously.
According to a second aspect of the embodiments of the present invention, an embodiment of the present application provides an ECMO device monitoring system, including:
the information acquisition module is used for acquiring monitoring information of the current equipment;
the information type judging module is used for judging the type of monitoring information, and the type of the monitoring information comprises the following steps: data monitoring information and communication monitoring information;
the fault monitoring module is used for selecting a corresponding monitoring strategy according to the monitoring information category and identifying whether the current equipment has faults or not;
if the current equipment has no fault, acquiring monitoring information of the equipment at the next moment through an information acquisition module and carrying out continuous monitoring; and if the current equipment has faults, the fault monitoring module gives an alarm and prompts the fault.
Further, selecting a corresponding monitoring strategy according to the category of the monitoring information, and identifying whether the current equipment has a fault, including:
when the monitoring information type is data monitoring information, a first monitoring strategy is adopted;
continuously sampling the acquired data of the same type to form a sampling value queue;
each time new data is sampled, updating the sampling value queue by using the new data;
calculating a first average value of all sampling values in the updated sampling value queue;
judging whether the first average value exceeds an alarm limit value or not;
if the first average value exceeds an alarm limit value, identifying that the current equipment has a fault;
and if the first average value does not exceed the alarm limit value, identifying that no fault exists in the current equipment.
Further, updating the sample value queue with the new data includes:
judging whether the number of the sampling values in the queue before updating reaches a preset number or not;
if the number of the sampling values in the queue before updating does not reach the preset number, directly storing the new data at the tail of the corresponding queue to finish the updating of the queue;
and if the number of the sampling values in the queue before updating reaches the preset number, storing the new data to the tail of the corresponding queue, removing the data at the head of the queue from the corresponding queue, and finishing the updating of the queue.
Further, identifying whether the current device has a fault by using a first monitoring strategy, further comprising:
recording a first accumulated number x of times that the alarm limit value is exceeded;
calculating the percentage of a new data sampling value to the first average value every time new data is sampled;
judging whether the percentage exceeds a first preset value or not, and recording a second accumulated time i when the percentage exceeds the first preset value;
if the percentage does not exceed a preset value, updating the sampling value queue by using the new data, taking a value obtained by subtracting 1 from the current first accumulated time x as a first updated value of the first accumulated time x, and taking a value obtained by subtracting 1 from the current second accumulated time i as a second updated value of the second accumulated time i;
if the percentage exceeds a first preset value, judging whether a new data sampling value exceeds the alarm limit value;
if the new data sampling value does not exceed the alarm limit value, taking the value obtained by subtracting 1 from the current first accumulated time x as a third updated value of the first accumulated time x, and taking the value obtained by adding 1 to the current second accumulated time i as a fourth updated value of the second accumulated time i;
judging whether the fourth updated value exceeds a second preset value y of the first accumulated times x or not;
if the fourth updated value exceeds a second preset value y, updating the sampling value queue by using the new data;
if the fourth update value does not exceed the second preset value y, the new data is discarded.
Further, identifying whether the current device has a fault by using a first monitoring strategy, further comprising:
if the new data sampling value exceeds the alarm limit value, taking the value obtained by adding 1 to the current first accumulated time x as a fifth updated value of the first accumulated time x;
judging whether the fifth update value exceeds a second preset value y of the first accumulated times x or not;
if the fifth updated value exceeds a second preset value y, identifying that the current equipment has a fault;
and if the fifth updated value does not exceed the second preset value y, identifying that no fault exists in the current equipment.
Further, according to the monitoring information category, selecting a corresponding monitoring strategy, and identifying whether the current device has a fault, the method further includes:
when the monitoring information type is communication monitoring information, a second monitoring strategy is adopted;
judging whether the equipment communication is successful according to the acquired communication state, and recording the total communication failure accumulated times m and the communication failure accumulated times j in the preset time;
if the equipment communication is successful, identifying that no fault exists in the current equipment, taking a value obtained by subtracting 1 from the current communication failure accumulated total times m as a sixth updated value of the communication failure accumulated total times m, and taking a value obtained by subtracting 1 from the communication failure accumulated times j in the current preset time as a seventh updated value of the communication failure accumulated times j in the preset time;
if the equipment communication is unsuccessful, taking the value of the current communication failure accumulated total times m plus 1 as an eighth update value of the communication failure accumulated total times m;
judging whether the eighth update value exceeds a third preset value n of the total number m of communication failures;
if the eighth updated value exceeds the third preset value n, identifying that the current equipment has a fault;
if the eighth update value does not exceed the third preset value n, taking a value obtained by adding 1 to the communication failure accumulated time j in the current preset time as a ninth update value of the communication failure accumulated time j in the preset time;
judging whether the ninth updated value exceeds the third preset value n;
if the ninth updated value exceeds the third preset value n, identifying that the current equipment has a fault;
and if the ninth updated value does not exceed the third preset value n, identifying that no fault exists in the current equipment.
Further, the alarming and prompting of the fault comprises the following steps:
acquiring at least one fault code based on the monitoring information;
comparing the newly acquired fault code with the fault code acquired last time, and judging whether the two are consistent;
if the newly acquired fault code is inconsistent with the fault code acquired last time, updating the original fault code and the total number of faults by using the newly acquired fault code;
outputting a sound prompt and a light prompt of the highest grade, and adding an alarm record;
if the newly acquired fault code is consistent with the fault code acquired last time, judging the fault grade corresponding to each fault code and whether the same fault grade exists in each fault code;
if the same fault level exists, the faults of the same fault level are displayed in a polling mode, and the faults of different fault levels are displayed simultaneously;
if the same fault level does not exist, faults of different fault levels are displayed simultaneously.
According to a third aspect of the embodiments of the present invention, there is provided an ECMO apparatus monitoring apparatus, the apparatus including: a processor and a memory;
the memory is to store one or more program instructions;
the processor is configured to execute one or more program instructions to perform the steps of the ECMO device monitoring method as described in any one of the above.
According to a fourth aspect of embodiments of the present invention, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of a method for monitoring an ECMO device as described in any one of the above.
Compared with the prior art, the ECMO equipment monitoring method, the ECMO equipment monitoring system, the ECMO equipment monitoring equipment and the storage medium provided by the embodiment of the application select different monitoring strategies by identifying the types of monitoring information, and continuously monitor various faults of the ECMO equipment; and if the current equipment has faults, alarming and prompting the faults. The embodiment of the invention is not easy to send false alarm, the operator can easily obtain the alarm prompt when sending the fault, and can adjust in time according to the alarm prompt information, thereby reducing the experience requirement of the operator on the use of the ECMO equipment and improving the safety of the ECMO.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
The structures, ratios, sizes, and the like shown in the present specification are only used for matching with the contents disclosed in the specification, so as to be understood and read by those skilled in the art, and are not used to limit the conditions that the present invention can be implemented, so that the present invention has no technical significance, and any structural modifications, changes in the ratio relationship, or adjustments of the sizes, without affecting the effects and the achievable by the present invention, should still fall within the range that the technical contents disclosed in the present invention can cover.
Fig. 1 is a schematic structural diagram of an ECMO device monitoring system according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of a monitoring method for an ECMO device according to an embodiment of the present invention;
fig. 3 is a schematic flowchart of a process of identifying whether a current device has a fault by using a first monitoring policy according to an embodiment of the present invention;
fig. 4 is a schematic flowchart of a process of identifying whether a current device has a fault by using a second monitoring policy according to an embodiment of the present invention;
fig. 5 is a schematic flow chart of alarming and prompting a fault according to an embodiment of the present invention.
Detailed Description
The present invention is described in terms of particular embodiments, other advantages and features of the invention will become apparent to those skilled in the art from the following disclosure, and it is to be understood that the described embodiments are merely exemplary of the invention and that it is not intended to limit the invention to the particular embodiments disclosed. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention mainly aims to: the ECMO equipment user is helped to timely and accurately obtain alarm prompt and fast troubleshooting and problem solving.
In order to solve the above technical problem, as shown in fig. 1, an embodiment of the present application provides an ECMO device monitoring system, where the system includes: the system comprises an information acquisition module 1, an information type judgment module 2 and a fault monitoring module 3.
Specifically, the information obtaining module 1 is configured to obtain monitoring information of a current device; the information type judging module 2 is configured to judge a type of the monitoring information, and further, the monitoring information type includes: data monitoring information and communication monitoring information; the fault monitoring module 3 is used for selecting a corresponding monitoring strategy according to the monitoring information category and identifying whether the current equipment has faults or not; if the current equipment has no fault, acquiring monitoring information of the equipment at the next moment and continuously monitoring; and if the current equipment has faults, alarming and prompting the faults.
Compared with the prior art, the ECMO equipment monitoring system provided by the embodiment of the application selects different monitoring strategies by identifying the types of the monitoring information, and continuously monitors various faults of the ECMO equipment; and if the current equipment has faults, alarming and prompting the faults. The embodiment of the invention is not easy to send false alarm, an operator can easily obtain the alarm prompt when sending the fault, and can timely adjust according to the alarm prompt information, thereby reducing the experience requirement of the operator on the ECMO equipment and improving the safety of the ECMO.
Corresponding to the ECMO equipment monitoring system, the embodiment of the invention also discloses an ECMO equipment monitoring method. The ECMO device monitoring method disclosed in the embodiments of the present invention is described in detail below with reference to the ECMO device monitoring system described above.
As shown in fig. 2, specific steps of a monitoring method for an ECMO device provided in an embodiment of the present application are described in detail below.
Step S11: the monitoring information of the current device is acquired by the information acquisition module 1.
In the embodiment of the present invention, the monitoring information of the current device in the step S11 may be obtained by various existing sensors such as a flow sensor, a pressure sensor, a blood oxygen sensor, and the like.
Step S12: the monitoring information category is judged by the information category judgment module 2.
Further, the monitoring information categories include: data monitoring information and communication monitoring information. The data monitoring information comprises data such as pressure values, flow values, bubbles, temperature values and blood oxygen saturation, and the communication monitoring information mainly comprises equipment communication states.
Step S13: and selecting a corresponding monitoring strategy by the fault monitoring module 3 according to the category of the monitoring information, and identifying whether the current equipment has faults or not.
Specifically, the specific steps of step 13 will be described below.
Referring to fig. 3, a schematic flowchart of identifying whether a current device has a fault by using a first monitoring policy according to an embodiment of the present invention is provided.
Firstly, when the monitoring information type is data monitoring information, a first monitoring strategy is adopted; continuously sampling the acquired data of the same type to form a sampling value queue; and updating the sampling value queue by using the new data every time new data is sampled.
Further, updating the sample value queue with the new data specifically includes: judging whether the number of the sampling values in the queue before updating reaches a preset number or not; if the number of the sampling values in the queue before updating does not reach the preset number, directly storing the new data at the tail of the corresponding queue to finish the updating of the queue; and if the number of the sampling values in the queue before updating reaches the preset number, storing the new data to the tail of the corresponding queue, removing the data at the head of the queue from the corresponding queue, and finishing the updating of the queue.
Then, calculating a first average value of all sampling values in the updated sampling value queue; judging whether the first average value exceeds an alarm limit value or not; if the first average value exceeds an alarm limit value, identifying that the current equipment has a fault; and if the first average value does not exceed the alarm limit value, identifying that no fault exists in the current equipment.
Preferably, the identifying whether the current device has a fault by using the first monitoring strategy further includes: recording a first accumulated number x of times that the alarm limit value is exceeded; calculating the percentage of a new data sampling value to the first average value every time new data is sampled; judging whether the percentage exceeds a first preset value or not, and recording a second accumulated time i when the percentage exceeds the first preset value; and if the percentage does not exceed the preset value, updating the sampling value queue by using the new data, taking the value obtained by subtracting 1 from the current first accumulation times x as a first updated value of the first accumulation times x, and taking the value obtained by subtracting 1 from the current second accumulation times i as a second updated value of the second accumulation times i.
Similarly, updating the sample value queue with the new data specifically includes: judging whether the number of the sampling values in the queue before updating reaches a preset number or not; if the number of the sampling values in the queue before updating does not reach the preset number, directly storing the new data at the tail of the corresponding queue to finish the updating of the queue; and if the number of the sampling values in the queue before updating reaches the preset number, storing the new data to the tail of the corresponding queue, removing the data at the head of the queue from the corresponding queue, and finishing the updating of the queue.
As described above, after the sampling value queue is updated with new data, similarly, a first average value of all sampling values in the updated sampling value queue is calculated; judging whether the first average value exceeds an alarm limit value or not; if the first average value exceeds an alarm limit value, identifying that the current equipment has a fault; and if the first average value does not exceed the alarm limit value, identifying that no fault exists in the current equipment.
Further, if the percentage exceeds a first preset value, judging whether a new data sampling value exceeds the alarm limit value; if the new data sampling value does not exceed the alarm limit value, taking the value obtained by subtracting 1 from the current first accumulated time x as a third updated value of the first accumulated time x, and taking the value obtained by adding 1 to the current second accumulated time i as a fourth updated value of the second accumulated time i; judging whether the fourth updated value exceeds a second preset value y of the first accumulated times x or not; if the fourth updated value exceeds a second preset value y, updating the sampling value queue by using the new data; if the fourth update value does not exceed the second preset value y, the new data is discarded.
Similarly, updating the sample value queue with the new data specifically includes: judging whether the number of the sampling values in the queue before updating reaches a preset number or not; if the number of the sampling values in the queue before updating does not reach the preset number, directly storing the new data at the tail of the corresponding queue to finish the updating of the queue; and if the number of the sampling values in the queue before updating reaches the preset number, storing the new data to the tail of the corresponding queue, removing the data at the head of the queue from the corresponding queue, and finishing the updating of the queue.
As described above, after the sampling value queue is updated with new data, similarly, a first average value of all sampling values in the updated sampling value queue is calculated; judging whether the first average value exceeds an alarm limit value or not; if the first average value exceeds an alarm limit value, identifying that the current equipment has a fault; and if the first average value does not exceed the alarm limit value, identifying that no fault exists in the current equipment.
Further, if the new data sampling value exceeds the alarm limit value, taking the value obtained by adding 1 to the current first accumulated time x as a fifth updated value of the first accumulated time x; judging whether the fifth update value exceeds a second preset value y of the first accumulated times x or not; if the fifth updated value exceeds a second preset value y, identifying that the current equipment has a fault; and if the fifth updated value does not exceed the second preset value y, identifying that no fault exists in the current equipment.
As described above, in the above embodiments of the present invention, when the ECMO device is monitored for a fault by using the data monitoring information, a recursive clipping average filtering method and a jitter elimination filtering algorithm are used. On one hand, the recursive amplitude limiting average filtering method forms a sampling value queue by utilizing the acquired similar data, updates the sampling value queue in time, calculates a first average value of all sampling values in the updated sampling value queue, and monitors equipment faults by comparing the first average value with the alarm limit value. On the other hand, the jitter elimination filtering algorithm utilizes the first accumulated times x exceeding the alarm limit value and the second accumulated times i that the percentage of the new data sampling value to the first average value exceeds the first preset value to realize the monitoring of the equipment fault. The accuracy and timeliness of the first monitoring strategy result are guaranteed by combining the recursive amplitude limiting average filtering method and the jitter elimination filtering algorithm.
Referring to fig. 4, a schematic flowchart of identifying whether a current device has a fault by using a second monitoring policy according to an embodiment of the present invention is provided.
Specifically, when the type of the monitoring information is communication monitoring information, a second monitoring strategy is adopted; judging whether the equipment communication is successful according to the acquired communication state, and recording the total communication failure accumulated times m and the communication failure accumulated times j in the preset time; if the equipment communication is successful, identifying that no fault exists in the current equipment, taking a value obtained by subtracting 1 from the current communication failure accumulated total number m as a sixth updated value of the communication failure accumulated total number m, and taking a value obtained by subtracting 1 from the communication failure accumulated number j in the current preset time as a seventh updated value of the communication failure accumulated number j in the preset time; if the equipment communication is unsuccessful, taking the value of the current communication failure accumulated total times m plus 1 as an eighth update value of the communication failure accumulated total times m; judging whether the eighth updated value exceeds a third preset value n of the total number m of communication failures; if the eighth updated value exceeds the third preset value n, identifying that the current equipment has a fault; if the eighth update value does not exceed the third preset value n, taking a value obtained by adding 1 to the communication failure accumulated time j in the current preset time as a ninth update value of the communication failure accumulated time j in the preset time; judging whether the ninth updated value exceeds the third preset value n; if the ninth updated value exceeds the third preset value n, identifying that the current equipment has a fault; and if the ninth updated value does not exceed the third preset value n, identifying that no fault exists in the current equipment.
As described above, in the above embodiments of the present invention, when the ECMO device is monitored for a fault by using the communication monitoring information, two jitter elimination filtering algorithms are used. And when the equipment communication is unsuccessful, adding 1 to the current communication failure accumulated total times m for updating, and comparing and filtering the updated communication failure accumulated total times m with a third preset value n. And when the updated value obtained by adding 1 to the total number m of the current communication failure accumulation times does not exceed the third preset value n, adding 1 to the number j of the current communication failure accumulation times in the preset time for updating, and performing comparison filtering by using the updated number j of the communication failure accumulation times in the preset time and the third preset value n, so that the accuracy and the timeliness of the monitoring result of the second monitoring strategy are ensured.
Step S14: if the current equipment has no fault, the monitoring information of the equipment at the next moment is acquired through the information acquisition module 1 and continuous monitoring is carried out.
Step S15: if the current equipment has faults, the fault monitoring module 3 is used for alarming and prompting the faults.
In the embodiment of the invention, the alarm content is divided into high level, middle level and low level according to the requirement of the priority of the alarm state in the alarm system of the medical apparatus and instrument, the content in each fault level is divided into data alarm and communication alarm, the alarm mode comprises sound prompt, LED lamp prompt and fault content prompt, and the alarm prompt comprises the alarm content and the cause of the fault or a method for eliminating the fault. In addition, each fault is allocated with a unique fault code, and when the fault code is judged to be inconsistent with the current fault code, the grade and the binding information of the fault code are acquired.
Specifically, referring to fig. 5, the step S15 specifically includes: acquiring at least one fault code based on the monitoring information; comparing the newly acquired fault code with the fault code acquired last time, and judging whether the two are consistent; if the newly acquired fault code is inconsistent with the fault code acquired last time, updating the original fault code and the total number of faults by using the newly acquired fault code; outputting the highest-grade voice prompt and the light-on prompt, and adding an alarm record; if the newly acquired fault code is consistent with the fault code acquired last time, judging the fault grade corresponding to each fault code and whether the same fault grade exists in each fault code; if the same fault level exists, the faults of the same fault level are displayed in a polling mode, and the faults of different fault levels are displayed simultaneously; if the same fault level does not exist, faults of different fault levels are displayed simultaneously.
Compared with the prior art, the ECMO equipment monitoring method provided by the embodiment of the application selects different monitoring strategies by identifying the types of the monitoring information, and continuously monitors various faults of the ECMO equipment; and if the current equipment has faults, alarming and prompting the faults. The embodiment of the invention is not easy to send false alarm, the operator can easily obtain the alarm prompt when sending the fault, and can adjust in time according to the alarm prompt information, thereby reducing the experience requirement of the operator on the use of the ECMO equipment and improving the safety of the ECMO.
In addition, an embodiment of the present invention further provides a device for implementing continuous integration of software, where the device includes: a processor and a memory; the memory is to store one or more program instructions; the processor is configured to execute one or more program instructions to perform the steps of the ECMO device monitoring method as described in any one of the above.
In addition, an embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the ECMO device monitoring method described in any one of the above are implemented.
In an embodiment of the invention, the processor may be an integrated circuit chip having signal processing capability. The Processor may be a general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete Gate or transistor logic device, discrete hardware component.
The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The processor reads the information in the storage medium and completes the steps of the method in combination with the hardware.
The storage medium may be a memory, for example, which may be volatile memory or nonvolatile memory, or which may include both volatile and nonvolatile memory.
The nonvolatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash Memory.
The volatile Memory may be a Random Access Memory (RAM) which serves as an external cache. By way of example and not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), SLDRAM (SLDRAM), and Direct Rambus RAM (DRRAM).
The storage media described in connection with the embodiments of the invention are intended to comprise, without being limited to, these and any other suitable types of memory.
Those skilled in the art will appreciate that the functionality described in the present invention may be implemented in a combination of hardware and software in one or more of the examples described above. When software is applied, the corresponding functionality may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
Although the invention has been described in detail above with reference to a general description and specific examples, it will be apparent to one skilled in the art that modifications or improvements may be made thereto based on the invention. Accordingly, such modifications and improvements are intended to be within the scope of the invention as claimed.
Claims (10)
1. An ECMO apparatus monitoring method, the method comprising:
acquiring monitoring information of current equipment;
judging the type of monitoring information, wherein the type of the monitoring information comprises the following steps: data monitoring information and communication monitoring information;
selecting a corresponding monitoring strategy according to the monitoring information category, and identifying whether the current equipment has a fault;
if the current equipment has no fault, acquiring monitoring information of the equipment at the next moment and continuously monitoring;
and if the current equipment has faults, alarming and prompting the faults.
2. The ECMO device monitoring method of claim 1, wherein selecting a corresponding monitoring policy according to the monitoring information category to identify whether the current device has a fault comprises:
when the monitoring information type is data monitoring information, a first monitoring strategy is adopted;
continuously sampling the acquired data of the same type to form a sampling value queue;
each time new data is sampled, updating the sampling value queue by using the new data;
calculating a first average value of all sampling values in the updated sampling value queue;
judging whether the first average value exceeds an alarm limit value or not;
if the first average value exceeds the alarm limit value, identifying that the current equipment has a fault;
and if the first average value does not exceed the alarm limit value, identifying that no fault exists in the current equipment.
3. The ECMO apparatus monitoring method of claim 2, wherein updating the sample value queue with the new data comprises:
judging whether the number of the sampling values in the queue before updating reaches a preset number or not;
if the number of the sampling values in the queue before updating does not reach the preset number, directly storing the new data at the tail of the corresponding queue to finish the updating of the queue;
and if the number of the sampling values in the queue before updating reaches the preset number, storing the new data to the tail of the corresponding queue, removing the data at the head of the queue from the corresponding queue, and finishing the updating of the queue.
4. The ECMO apparatus monitoring method of claim 3, wherein identifying whether the current apparatus has a fault using the first monitoring policy further comprises:
recording a first accumulated number x of times that the alarm limit value is exceeded;
calculating the percentage of a new data sampling value to the first average value every time new data is sampled;
judging whether the percentage exceeds a first preset value or not, and recording a second accumulated time i when the percentage exceeds the first preset value;
if the percentage does not exceed a preset value, updating the sampling value queue by using the new data, taking a value obtained by subtracting 1 from the current first accumulated time x as a first updated value of the first accumulated time x, and taking a value obtained by subtracting 1 from the current second accumulated time i as a second updated value of the second accumulated time i;
if the percentage exceeds a first preset value, judging whether a new data sampling value exceeds the alarm limit value;
if the new data sampling value does not exceed the alarm limit value, taking the value obtained by subtracting 1 from the current first accumulated time x as a third updated value of the first accumulated time x, and taking the value obtained by adding 1 to the current second accumulated time i as a fourth updated value of the second accumulated time i;
judging whether the fourth updated value exceeds a second preset value y of the first accumulated times x or not;
if the fourth updated value exceeds a second preset value y, updating the sampling value queue by using the new data;
if the fourth update value does not exceed the second preset value y, the new data is discarded.
5. The ECMO apparatus monitoring method of claim 4, wherein identifying whether the current apparatus has a fault using the first monitoring policy further comprises:
if the new data sampling value exceeds the alarm limit value, taking the value obtained by adding 1 to the current first accumulated time x as a fifth updated value of the first accumulated time x;
judging whether the fifth update value exceeds a second preset value y of the first accumulated times x or not;
if the fifth updated value exceeds a second preset value y, identifying that the current equipment has a fault;
and if the fifth updated value does not exceed the second preset value y, identifying that no fault exists in the current equipment.
6. The ECMO device monitoring method of claim 5, wherein selecting a corresponding monitoring policy according to the monitoring information category to identify whether the current device has a fault further comprises:
when the monitoring information type is communication monitoring information, a second monitoring strategy is adopted;
judging whether the equipment communication is successful according to the acquired communication state, and recording the total communication failure accumulated times m and the communication failure accumulated times j in the preset time;
if the equipment communication is successful, identifying that no fault exists in the current equipment, taking a value obtained by subtracting 1 from the current communication failure accumulated total number m as a sixth updated value of the communication failure accumulated total number m, and taking a value obtained by subtracting 1 from the communication failure accumulated number j in the current preset time as a seventh updated value of the communication failure accumulated number j in the preset time;
if the equipment communication is unsuccessful, taking the value of the current communication failure accumulated total times m plus 1 as an eighth update value of the communication failure accumulated total times m;
judging whether the eighth updated value exceeds a third preset value n of the total number m of communication failures;
if the eighth updated value exceeds the third preset value n, identifying that the current equipment has a fault;
if the eighth update value does not exceed the third preset value n, taking a value obtained by adding 1 to the communication failure accumulated time j in the current preset time as a ninth update value of the communication failure accumulated time j in the preset time;
judging whether the ninth updated value exceeds the third preset value n;
if the ninth updated value exceeds the third preset value n, identifying that the current equipment has a fault;
and if the ninth updated value does not exceed the third preset value n, identifying that no fault exists in the current equipment.
7. The ECMO apparatus monitoring method according to any one of claims 1 to 6, wherein the alarming and alerting of faults comprises:
acquiring at least one fault code based on the monitoring information;
comparing the newly acquired fault code with the fault code acquired last time, and judging whether the two are consistent;
if the newly acquired fault code is inconsistent with the fault code acquired last time, updating the original fault code and the total number of faults by using the newly acquired fault code;
outputting the highest-grade voice prompt and the light-on prompt, and adding an alarm record;
if the newly acquired fault code is consistent with the fault code acquired last time, judging the fault grade corresponding to each fault code and whether the same fault grade exists in each fault code;
if the same fault level exists, the faults of the same fault level are displayed in a polling mode, and the faults of different fault levels are displayed simultaneously;
if the same fault level does not exist, faults of different fault levels are displayed simultaneously.
8. An ECMO apparatus monitoring system, the system comprising:
the information acquisition module is used for acquiring monitoring information of the current equipment;
the information type judging module is used for judging the type of monitoring information, and the type of the monitoring information comprises the following steps: data monitoring information and communication monitoring information;
the fault monitoring module is used for selecting a corresponding monitoring strategy according to the monitoring information category and identifying whether the current equipment has faults or not;
if the current equipment has no fault, acquiring monitoring information of the equipment at the next moment through an information acquisition module and carrying out continuous monitoring; and if the current equipment has faults, the fault monitoring module gives an alarm and prompts the fault.
9. An ECMO device monitoring apparatus, the apparatus comprising: a processor and a memory;
the memory is to store one or more program instructions;
the processor, configured to execute one or more program instructions to perform the steps of a method for monitoring an ECMO device according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when being executed by a processor, carries out the steps of a method for ECMO device monitoring according to any one of claims 1 to 7.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115422015A (en) * | 2022-11-03 | 2022-12-02 | 之江实验室 | Data acquisition method and device, storage medium and electronic equipment |
| CN117547671A (en) * | 2024-01-05 | 2024-02-13 | 深圳汉诺医疗科技股份有限公司 | Control method, device, equipment and medium for abnormal alarm in blood bubble monitoring |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115422015A (en) * | 2022-11-03 | 2022-12-02 | 之江实验室 | Data acquisition method and device, storage medium and electronic equipment |
| CN115422015B (en) * | 2022-11-03 | 2023-03-24 | 之江实验室 | Data acquisition method and device, storage medium and electronic equipment |
| CN117547671A (en) * | 2024-01-05 | 2024-02-13 | 深圳汉诺医疗科技股份有限公司 | Control method, device, equipment and medium for abnormal alarm in blood bubble monitoring |
| CN117547671B (en) * | 2024-01-05 | 2024-05-10 | 深圳汉诺医疗科技股份有限公司 | Control method, device, equipment and medium for abnormal alarm in blood bubble monitoring |
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