Medical equipment operation state data processing method and system

Abstract

The invention provides a medical equipment operation state data processing method and system, and relates to the field of data processing, and the method comprises the steps: obtaining environment parameter data and working state data of medical equipment in an operation state in real time; obtaining abnormal environment parameter data based on a pre-constructed environment parameter abnormity identification model; the abnormal environment parameters of the medical equipment are regulated and controlled; calculating an abnormal operation value of the medical equipment according to the working state data of the medical equipment; if the operation abnormal value of the medical equipment is greater than a preset operation safety threshold value, maintaining the medical equipment; acquiring association influence data of the medical equipment on the associated medical equipment, and calculating an abnormal operation influence reference value of the medical equipment on the associated medical equipment; according to the method and the device, the environmental parameters in the operation state of the medical equipment are automatically subjected to anomaly identification and anomaly regulation and control, and the working state data in the operation state of the medical equipment are analyzed and processed, so that the operation reliability and safety of the medical equipment are improved.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a method and system for processing medical equipment operating status data. Background Art

[0002] Different medical devices have different requirements for environmental humidity. The more precise the device, the higher the requirements for environmental temperature and humidity. Under high temperature and high humidity conditions, the heat dissipation of medical equipment will be subject to certain restrictions. If the temperature inside the medical equipment is too high, it may cause the medical equipment to run slower, or even freeze or freeze. At the same time, the circuit boards and electronic components of medical equipment will be corroded and oxidized due to the influence of humidity, shortening the life of the medical equipment.

[0003] When using medical equipment in a high temperature and high humidity environment, pay attention to the following aspects:

[0004] It is necessary to understand the operating temperature and humidity range of the equipment and ensure that the environmental conditions are within the limits allowed by the equipment, otherwise malfunctions or inaccurate measurements may occur. For example, when the temperature of some equipment is too high, the performance of electronic components will be affected, resulting in data deviation. For some high-precision medical equipment, such as some laboratory testing and analysis instruments, environmental data exceeding their normal operating range may affect their sensitivity and stability. In addition, high temperature and high humidity environments may increase safety risks of electrical equipment, such as leakage.

[0005] Therefore, the technical problem that urgently needs to be solved is: how to automatically identify and regulate abnormal environmental parameters when medical equipment is in operation, and analyze and process the working status data when the medical equipment is in operation, so as to improve the reliability and safety of medical equipment operation. Summary of the invention

[0006] The purpose of this application is to provide a method and system for processing medical equipment operating status data, so as to automatically identify and regulate abnormal environmental parameters under the operating state of the medical equipment, analyze and process the working status data of the medical equipment under the operating state, and improve the reliability and safety of the operation of the medical equipment.

[0007] To achieve the above-mentioned purpose, as a first aspect of the present application, the present application provides a method for processing the operation status data of a medical device, the method comprising: obtaining environmental parameter data and working status data of the medical device in real time under the operation status; based on a pre-constructed environmental parameter abnormality recognition model, identifying the environmental parameter data obtained in real time under the operation status of the medical device, and obtaining abnormal environmental parameter data; regulating the abnormal environmental parameters under the operation status of the medical device according to the abnormal environmental parameter data; calculating the operation abnormality value of the medical device according to the working status data of the medical device; comparing the operation abnormality value of the medical device with a preset operation safety threshold, if the operation abnormality value of the medical device is greater than the preset operation safety threshold, then shutting down the medical device for maintenance, otherwise, there is no need to shut down the medical device for maintenance; obtaining the associated impact data of the medical device on its associated medical devices, and calculating the reference value of the operation abnormality impact of the medical device on the associated medical devices according to the associated impact data; comparing the reference value of the operation abnormality impact of the medical device on the associated medical devices with the preset impact threshold, if the reference value of the operation abnormality impact of the medical device on the associated medical devices is greater than the preset impact threshold, then shutting down the associated medical device or disconnecting the associated medical device from the current medical device, otherwise, there is no need to shut down the associated medical device.

[0008] In the medical equipment operation status data processing method as described above, after obtaining the environmental parameter data and working status data of the medical equipment under the operation status in real time, the obtained environmental parameter data and working status data of the medical equipment under the operation status are uploaded to the database of the data management center.

[0009] The medical device operation status data processing method as described above, wherein the environmental parameter data of a single medical device obtained is packaged into time series data, each environmental parameter data corresponds to a corresponding data collection time; the working status data of a single medical device obtained is packaged into time series data, each working status data corresponds to a corresponding data collection time; the packaged data is uploaded to the database of the data management center.

[0010] The medical device operating status data processing method as described above, wherein the pre-built environmental parameter abnormality recognition model stores the medical device working environment parameter thresholds;

[0011] Based on the pre-built environmental parameter anomaly recognition model, when the real-time acquired environmental parameter data is input into the environmental parameter anomaly recognition model, the environmental parameter anomaly recognition model compares the real-time acquired environmental parameter data under the operating state of the medical device with the working environmental parameter threshold of the medical device. If the real-time acquired environmental parameter data under the operating state of the medical device exceeds the working environmental parameter threshold of the medical device, the abnormal environmental parameter data is output.

[0012] The method for processing medical device operating status data as described above, wherein the method for regulating abnormal environmental parameters under the operating state of the medical device includes: if the environmental parameters under the operating state of the medical device obtained in real time are lower than the minimum value of the medical device working environmental parameter threshold, then the environmental parameters under the operating state of the medical device are increased; if the environmental parameters under the operating state of the medical device obtained in real time are higher than the maximum value of the medical device working environmental parameter threshold, then the environmental parameters under the operating state of the medical device are reduced.

[0013] In the method for processing the operating status data of medical equipment as described above, the operating status data of the medical equipment includes: medical equipment operating parameter data, medical equipment performance data, energy consumption data and / or abnormal shutdown data.

[0014] In the above-mentioned method for processing the operation status data of the medical device, the calculation formula of the operation abnormality value of the medical device is as follows:

[0015]

[0017] Among them, SY represents the abnormal operation value of the medical equipment; R1 represents the influence weight of the medical equipment operation parameter data on the abnormal operation value of the medical equipment; A represents the total number of types of medical equipment operation parameter data; E α Represents the weight factor of the operating parameter data of the αth medical device; Cy α Represents the measured average value of the operating parameter data of the αth type of medical equipment within the sampling period T1; α represents the standard value of the αth type of medical equipment operating parameter data; R2 represents the weight of the impact of medical equipment performance data on the abnormal operation value of medical equipment; B represents the total number of types of medical equipment performance data; q β Represents the weight factor of the performance data of the βth medical device; Xn β Represents the measured average value of the performance data of the βth type of medical equipment within the sampling period; Xb β represents the standard value of the performance data of the βth type of medical equipment; R3 represents the weight of the impact of energy consumption data on the abnormal operation value of medical equipment; D represents the total number of types of energy consumption data; W γ Represents the weight factor of the γth energy consumption data; NX γ Represents the measured value of the γth energy consumption data within the sampling period; NB γ represents the standard value of the γth energy consumption data per unit time; R4 represents the influence weight of abnormal downtime data on the abnormal operation value of medical equipment; YC represents the number of abnormal downtimes within the sampling period; ΔT δ Indicates the interval between two adjacent abnormal shutdowns in the δth group within the sampling period.

[0018] The method for processing the operating status data of medical equipment as described above, wherein the associated impact data of the medical equipment on its associated medical equipment includes: the interval duration of the shutdown of the associated medical equipment after the medical equipment is shut down, the change data of the operating status data of the associated medical equipment after the medical equipment is shut down, the change data of the performance data of the associated medical equipment after the medical equipment is shut down, and the change data of the energy consumption data of the associated medical equipment after the medical equipment is shut down.

[0019] As a second aspect of the present application, the present application provides a medical device operating status data processing system, which executes the medical device operating status data processing method, and the system includes:

[0020] A real-time acquisition module, used to obtain environmental parameter data and working status data of the medical device in real time when the medical device is in operation;

[0021] An abnormality recognition module, used to identify the environmental parameter data obtained in real time under the operating state of the medical device based on a pre-built environmental parameter abnormality recognition model, and obtain abnormal environmental parameter data;

[0022] A control module, used for controlling abnormal environmental parameters under the operating state of the medical device according to abnormal environmental parameter data;

[0023] A data processor, used for calculating an operational abnormality value of the medical device according to the working status data of the medical device;

[0024] The data comparator is used to compare the abnormal operation value of the medical device with the preset operation safety threshold. If the abnormal operation value of the medical device is greater than the preset operation safety threshold, the medical device is shut down for maintenance. Otherwise, the medical device does not need to be shut down for maintenance.

[0025] The medical device operation status data processing system as described above, wherein the system further comprises:

[0026] An associated impact data acquisition module is used to acquire associated impact data of a medical device on its associated medical devices;

[0027] The data processor is further used to calculate a reference value of the abnormal operation impact of the medical device on the associated medical device based on the associated impact data;

[0028] The data comparator is also used to compare the reference value of the abnormal operation impact of the medical device on the associated medical device with the preset impact threshold. If the reference value of the abnormal operation impact of the medical device on the associated medical device is greater than the preset impact threshold, the associated medical device is shut down or the connection between the associated medical device and the current medical device is disconnected. Otherwise, there is no need to shut down the associated medical device.

[0029] The beneficial effects achieved by this application are as follows:

[0030] (1) The present application realizes automatic abnormal identification and abnormal regulation of environmental parameters when the medical device is in operation, so as to timely discover the abnormalities of environmental parameters when the medical device is in operation, and timely regulate the abnormal environmental parameters, so as to ensure that the environmental parameters when the medical device is in operation are within the normal range, thereby ensuring the reliability of the operation of the medical device.

[0031] (2) The present application calculates the operation abnormality value of the medical device based on the working status data of the medical device; if the operation abnormality value of the medical device is greater than a preset operation safety threshold, the medical device is shut down for maintenance, thereby identifying the severity of the abnormality in the operation of the medical device, and shutting down the medical device that exceeds the operation safety threshold for maintenance, thereby improving the safety and reliability of the operation of the medical device. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present application. For those skilled in the art, other drawings can also be obtained based on these drawings.

[0033] Figure 1 This is a flow chart of a method for processing medical device operating status data according to an embodiment of the present application.

[0034] Figure 2 This is a structural schematic diagram of a medical device operating status data processing system according to an embodiment of the present application. DETAILED DESCRIPTION

[0035] The following is a clear and complete description of the technical solutions in the embodiments of the present application in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present application.

[0036] Embodiment 1

[0037] like Figure 1 As shown, the present application provides a method for processing medical device operating status data, the method comprising:

[0038] Step S1, real-time acquisition of environmental parameter data and working status data of the medical device under operating status, and uploading the acquired data to a database.

[0039] The environmental data of the medical device under the operating state includes the environmental temperature and humidity, etc. The medical device is, for example, a hemodialysis device, a hyperbaric oxygen therapy device, an electrocardiograph, a blood pressure monitor, or a blood oxygen saturation meter, etc.

[0040] As a specific embodiment of the present invention, the environmental parameter data and working status data of the medical device under the running state are obtained in real time, and the environmental parameter data and working status data of the medical device under the running state are uploaded to the database of the data management center. Specifically, the environmental parameter data and working status data of a single medical device are packaged into two data packets, and the type of data is marked, and then uploaded to the database of the data management center.

[0041] As a specific embodiment of the present invention, the environmental parameter data of a single medical device is packaged into time series data, each environmental parameter data corresponds to a corresponding data collection time, and the packaged data is uploaded to the database of the data management center, so as to facilitate the recording of the environmental parameter data of the medical device at a certain moment and the analysis of the environmental parameter data of the medical device.

[0042] As a specific embodiment of the present invention, the acquired working status data of a single medical device is packaged into time series data, each working status data corresponds to a corresponding data collection time, and the packaged data is uploaded to the database of the data management center, so as to facilitate the recording of the working status data of the medical device at a certain moment and the analysis of the working status data of the medical device.

[0043] Step S2, based on a pre-built environmental parameter abnormality recognition model, the environmental parameter data acquired in real time under the operating state of the medical device is recognized to obtain abnormal environmental parameter data.

[0044] The pre-built environmental parameter abnormality recognition model stores the threshold of the working environmental parameter of the medical device. Based on the pre-built environmental parameter abnormality recognition model, when the environmental parameter data acquired in real time is input into the environmental parameter abnormality recognition model, the environmental parameter abnormality recognition model compares the environmental parameter data acquired in real time under the running state of the medical device with the threshold of the working environmental parameter of the medical device. If the environmental parameter data acquired in real time under the running state of the medical device exceeds the threshold of the working environmental parameter of the medical device, the abnormal environmental parameter data is output.

[0045] Step S3, regulating the abnormal environmental parameters under the operating state of the medical device according to the abnormal environmental parameter data.

[0046] Specifically, the method for regulating abnormal environmental parameters under the operating state of medical equipment includes: if the environmental parameters under the operating state of the medical equipment obtained in real time are lower than the minimum value of the working environmental parameter threshold of the medical equipment, then the environmental parameters under the operating state of the medical equipment are increased; if the environmental parameters under the operating state of the medical equipment obtained in real time are higher than the maximum value of the working environmental parameter threshold of the medical equipment, then the environmental parameters under the operating state of the medical equipment are reduced.

[0047] For example, the method for regulating abnormal environmental parameters in the operating state of medical equipment includes: if the ambient temperature of the medical equipment in the operating state obtained in real time is lower than the minimum value of the working ambient temperature threshold of the medical equipment, then increasing the ambient temperature in the operating state of the medical equipment; if the ambient temperature of the medical equipment in the operating state obtained in real time is higher than the maximum value of the working ambient temperature threshold of the medical equipment, then reducing the ambient temperature in the operating state of the medical equipment.

[0048] For example, the method for regulating abnormal environmental parameters in the operating state of medical equipment includes: if the environmental humidity in the operating state of the medical equipment obtained in real time is lower than the minimum value of the working environment humidity threshold of the medical equipment, then increasing the environmental humidity in the operating state of the medical equipment; if the environmental humidity in the operating state of the medical equipment obtained in real time is higher than the maximum value of the working environment humidity threshold of the medical equipment, then reducing the environmental humidity in the operating state of the medical equipment.

[0049] As a specific embodiment of the present invention, the central controller adjusts the abnormal environmental parameter data to within the temperature threshold range of the working environment of the medical device according to the abnormal environmental parameter data.

[0050] Step S4, calculating the operation abnormality value of the medical device according to the working status data of the medical device.

[0051] Among them, the working status data of medical equipment includes: medical equipment operating parameter data (including: operating speed, temperature and / or pressure), medical equipment performance data (including: operating efficiency), energy consumption data (including the amount of electrical energy and / or gas consumed during the sampling period, etc.) and / or abnormal shutdown data (for example: the number of abnormal shutdowns and / or the interval time between two adjacent abnormal shutdowns, etc.).

[0052] Specifically, within the sampling period T1 (or at regular intervals), the operation abnormality value of the medical device is calculated based on the working status data of the medical device.

[0053] The calculation formula for the abnormal operation value of medical equipment is as follows:

[0054]

[0055] Among them, SY represents the abnormal operation value of the medical equipment; R1 represents the influence weight of the medical equipment operation parameter data on the abnormal operation value of the medical equipment; A represents the total number of types of medical equipment operation parameter data; E α Represents the weight factor of the operating parameter data of the αth medical device; Cy α Represents the measured average value of the operating parameter data of the αth type of medical equipment within the sampling period T1; α represents the standard value of the αth type of medical equipment operating parameter data; R2 represents the weight of the impact of medical equipment performance data on the abnormal operation value of medical equipment; B represents the total number of types of medical equipment performance data; q β Represents the weight factor of the performance data of the βth medical device; Xn β Represents the measured average value of the performance data of the βth type of medical equipment within the sampling period; Xb β represents the standard value of the performance data of the βth type of medical equipment; R3 represents the weight of the impact of energy consumption data on the abnormal operation value of medical equipment; D represents the total number of types of energy consumption data; W γ Represents the weight factor of the γth energy consumption data; NX γ Represents the measured value of the γth energy consumption data within the sampling period; NB aγ represents the standard value of the γth energy consumption data per unit time; R4 represents the influence weight of abnormal downtime data on the abnormal operation value of medical equipment; YC represents the number of abnormal downtimes within the sampling period; ΔT δ It indicates the interval time between two adjacent abnormal shutdowns of the δth group within the sampling period; T1 indicates the duration of the sampling period of the working status data of the medical equipment.

[0056] The present application calculates the operation abnormality value of the medical device based on the working status data of the medical device (including: medical device operation parameter data, medical device performance data, energy consumption data and / or abnormal shutdown data), thereby improving the accuracy of the calculation of the operation abnormality value of the medical device. Then, the operation abnormality value of the medical device is compared with the preset operation safety threshold. If the operation abnormality value of the medical device is greater than the preset operation safety threshold, the medical device is shut down for maintenance, thereby improving the reliability and safety of the operation of the medical device.

[0057] Step S5, comparing the operation abnormality value of the medical device with the preset operation safety threshold. If the operation abnormality value of the medical device is greater than the preset operation safety threshold, the medical device is shut down for maintenance; otherwise, the medical device does not need to be shut down for maintenance.

[0058] Step S6, obtaining the correlation impact data of the medical device on its associated medical devices, and calculating the reference value of the abnormal operation impact of the medical device on the associated medical devices based on the correlation impact data.

[0059] Specifically, the associated impact data of a medical device on its associated medical devices include: the interval duration of the shutdown of its associated medical devices after the medical device shuts down, the change data of the operating status data of its associated medical devices after the medical device shuts down, the change data of the performance data of its associated medical devices after the medical device shuts down, and the change data of the energy consumption data of its associated medical devices after the medical device shuts down.

[0060] Among them, the reference value of the abnormal operation impact of a medical device on its associated i-th medical device is as follows:

[0061]

[0062] Wherein, YX represents the reference value of the abnormal operation impact of the medical device on the associated i-th medical device; SY represents the abnormal operation value of the medical device; w1 represents the influence weight of the interval time after the medical device stops causing the associated i-th medical device to stop on the reference value of the abnormal operation impact of the i-th medical device; T2 represents the sampling time of the working status data of the associated medical device after the medical device stops; M represents the number of medical device stoppages; Jt m represents the interval time between the mth shutdown of a medical device and the shutdown of its associated ith medical device; w2 represents the influence weight of the change data of the operation status data of its associated ith medical device caused by the shutdown of the medical device on the reference value of the abnormal operation of the ith medical device; Y represents the total number of types of operation status data of the ith medical device associated with the medical device; f y represents the weight factor of the yth type of operating status data of the ith medical device; bh1 represents the abnormal impact factor of the yth type of operating status data of the ith medical device becoming larger; bh2 represents the abnormal impact factor of the yth type of operating status data of the ith medical device becoming smaller; It represents the average value of the increase in the yth type of operating status data of the ith medical device within the preset time after the mth shutdown of the medical device; represents the average value of the decrease in the yth type of operating status data of the ith medical device within the preset time after the mth shutdown of the medical device; w3 represents the influence weight of the change data of the performance data of the ith medical device associated with the shutdown of the medical device on the reference value of the abnormal operation of the ith medical device; X represents the total number of types of performance data of the ith medical device associated with the medical device; g x represents the weight factor of the xth performance data of the ith medical device; bx1 represents the abnormal impact factor of the xth performance data of the ith medical device becoming larger; bx2 represents the abnormal impact factor of the xth performance data of the ith medical device becoming smaller; It represents the average value of the xth performance data of the ith medical device that increases within the preset time after the mth shutdown of the medical device; represents the average value of the xth performance data of the ith medical device that decreases within the preset time after the mth shutdown of the medical device; w4 represents the influence weight of the change data of the energy consumption data of the ith medical device associated with the shutdown of the medical device on the reference value of the abnormal operation of the ith medical device; N represents the total number of types of energy consumption data of the ith medical device associated with the medical device; p n represents the weight factor of the nth energy consumption data of the ith medical device; bn1 represents the abnormal impact factor of the increase of the nth energy consumption data of the ith medical device; bn2 represents the abnormal impact factor of the decrease of the nth energy consumption data of the ith medical device; It indicates the average value of the increase in the nth energy consumption data of the ith medical device within the preset time after the mth shutdown of the medical device; It indicates the average value of the reduction of the nth energy consumption data of the ith medical device within the preset time after the mth shutdown of the medical device.

[0063] The present application calculates a reference value of the abnormal operation impact of a medical device on associated medical devices based on associated impact data (including: the interval duration of the shutdown of a medical device causing its associated medical devices to shut down, the change data of the operating status data of the associated medical devices caused by the shutdown of the medical device, the change data of the performance data of the associated medical devices caused by the shutdown of the medical device, and the change data of the energy consumption data of the associated medical devices caused by the shutdown of the medical device), thereby improving the calculation accuracy of the reference value of the abnormal operation impact of the medical device on the associated medical devices, thereby comparing the reference value of the abnormal operation impact of the medical device on the associated medical devices with a preset impact threshold value; if the reference value of the abnormal operation impact of the medical device on the associated medical devices is greater than the preset impact threshold value, the associated medical device is shut down or the connection between the associated medical device and the current medical device is disconnected, thereby improving the operational reliability and safety of the associated devices of the medical device.

[0064] Step S7, compare the reference value of the abnormal operation impact of the medical device on the associated medical device with the preset impact threshold. If the reference value of the abnormal operation impact of the medical device on the associated medical device is greater than the preset impact threshold, shut down the associated medical device or disconnect the associated medical device from the current medical device. Otherwise, there is no need to shut down the associated medical device.

[0065] Specifically, compare the reference value of the abnormal operation impact of the medical device on the associated medical device with the preset impact threshold. If the reference value of the abnormal operation impact of the medical device on the associated medical device is greater than the preset impact threshold, shut down the associated medical device whose impact is greater than the preset impact threshold or disconnect the associated medical device from the current medical device. Otherwise, there is no need to shut down the associated medical device or disconnect the associated medical device from the current medical device.

[0066] Embodiment 2

[0067] like Figure 2 As shown, the present application provides a medical device operating status data processing system 100, which executes the medical device operating status data processing method, and the system includes:

[0068] A real-time acquisition module 10, used for acquiring environmental parameter data and working status data of the medical device in real time when the medical device is in operation;

[0069] The abnormality identification module 20 is used to identify the environmental parameter data obtained in real time under the operating state of the medical device based on the pre-built environmental parameter abnormality identification model, and obtain abnormal environmental parameter data;

[0070] A control module 30, for controlling abnormal environmental parameters under the operating state of the medical device according to abnormal environmental parameter data;

[0071] A data processor 40, configured to calculate an operational abnormality value of the medical device according to the working status data of the medical device;

[0072] The data comparator 50 is used to compare the operation abnormality value of the medical device with the preset operation safety threshold. If the operation abnormality value of the medical device is greater than the preset operation safety threshold, the medical device is shut down for maintenance. Otherwise, the medical device does not need to be shut down for maintenance.

[0073] The association impact data acquisition module 60 is used to acquire the association impact data of the medical device on its associated medical devices;

[0074] The data processor 40 is further used to calculate a reference value of the abnormal operation impact of the medical device on the associated medical device according to the associated impact data;

[0075] The data comparator 50 is also used to compare the reference value of the abnormal operation impact of the medical device on the associated medical device with the preset impact threshold. If the reference value of the abnormal operation impact of the medical device on the associated medical device is greater than the preset impact threshold, the associated medical device is shut down or the connection between the associated medical device and the current medical device is disconnected. Otherwise, there is no need to shut down the associated medical device.

[0076] The calculation formula for the abnormal operation value of medical equipment is as follows:

[0077]

[0078] Among them, SY represents the abnormal operation value of the medical equipment; R1 represents the influence weight of the medical equipment operation parameter data on the abnormal operation value of the medical equipment; A represents the total number of types of medical equipment operation parameter data; E αRepresents the weight factor of the operating parameter data of the αth medical device; Cy α Represents the measured average value of the operating parameter data of the αth type of medical equipment within the sampling period T1; α represents the standard value of the αth type of medical equipment operating parameter data; R2 represents the weight of the impact of medical equipment performance data on the abnormal operation value of medical equipment; B represents the total number of types of medical equipment performance data; q β Represents the weight factor of the performance data of the βth medical device; Xn β Represents the measured average value of the performance data of the βth type of medical equipment within the sampling period; Xb β represents the standard value of the performance data of the βth type of medical equipment; R3 represents the weight of the impact of energy consumption data on the abnormal operation value of medical equipment; D represents the total number of types of energy consumption data; W γ Represents the weight factor of the γth energy consumption data; NX γ Represents the measured value of the γth energy consumption data within the sampling period; NB γ represents the standard value of the γth energy consumption data per unit time; R4 represents the influence weight of abnormal downtime data on the abnormal operation value of medical equipment; YC represents the number of abnormal downtimes within the sampling period; ΔT δ It indicates the interval time between two adjacent abnormal shutdowns of the δth group within the sampling period; T1 indicates the duration of the sampling period of the working status data of the medical equipment.

[0079] Among them, the reference value of the abnormal operation impact of a medical device on its associated i-th medical device is as follows:

[0080]

[0081] Wherein, YX represents the reference value of the abnormal operation impact of the medical device on the associated i-th medical device; SY represents the abnormal operation value of the medical device; w1 represents the influence weight of the interval time after the medical device stops causing the associated i-th medical device to stop on the reference value of the abnormal operation impact of the i-th medical device; T2 represents the sampling time of the working status data of the associated medical device after the medical device stops; M represents the number of medical device stoppages; Jt m represents the interval time between the mth shutdown of a medical device and the shutdown of its associated ith medical device; w2 represents the influence weight of the change data of the operation status data of its associated ith medical device caused by the shutdown of the medical device on the reference value of the abnormal operation of the ith medical device; Y represents the total number of types of operation status data of the ith medical device associated with the medical device; f yrepresents the weight factor of the yth type of operating status data of the ith medical device; bh1 represents the abnormal impact factor of the yth type of operating status data of the ith medical device becoming larger; bh2 represents the abnormal impact factor of the yth type of operating status data of the ith medical device becoming smaller; It represents the average value of the increase in the yth type of operating status data of the ith medical device within the preset time after the mth shutdown of the medical device; represents the average value of the decrease in the yth type of operating status data of the ith medical device within the preset time after the mth shutdown of the medical device; w3 represents the influence weight of the change data of the performance data of the ith medical device associated with the shutdown of the medical device on the reference value of the abnormal operation of the ith medical device; X represents the total number of types of performance data of the ith medical device associated with the medical device; g x represents the weight factor of the xth performance data of the ith medical device; bx1 represents the abnormal impact factor of the xth performance data of the ith medical device becoming larger; bx2 represents the abnormal impact factor of the xth performance data of the ith medical device becoming smaller; It represents the average value of the xth performance data of the ith medical device that increases within the preset time after the mth shutdown of the medical device; represents the average value of the xth performance data of the ith medical device that decreases within the preset time after the mth shutdown of the medical device; w4 represents the influence weight of the change data of the energy consumption data of the ith medical device associated with the shutdown of the medical device on the reference value of the abnormal operation of the ith medical device; N represents the total number of types of energy consumption data of the ith medical device associated with the medical device; p n represents the weight factor of the nth energy consumption data of the ith medical device; bn1 represents the abnormal impact factor of the increase of the nth energy consumption data of the ith medical device; bn2 represents the abnormal impact factor of the decrease of the nth energy consumption data of the ith medical device; It indicates the average value of the increase in the nth energy consumption data of the ith medical device within the preset time after the mth shutdown of the medical device; It indicates the average value of the reduction of the nth energy consumption data of the ith medical device within the preset time after the mth shutdown of the medical device.

[0082] The present application also provides a computer storage medium, wherein the computer storage medium stores computer instructions, and when the computer instructions are called, they are used to execute the address mapping method of the large-capacity solid-state hard disk. The computer storage medium contains one or more program instructions, and the one or more program instructions are used by the processor to execute a medical device operation status data processing method.

[0083] The embodiment disclosed in the present invention provides a computer-readable storage medium, in which computer program instructions are stored. When the computer program instructions are executed on a computer, the computer executes the above-mentioned method for processing the operating status data of a medical device.

[0084] An embodiment of the present invention provides a processor for processing the above-mentioned method for processing the operating status data of a medical device.

[0085] In the embodiment of the present invention, the processor may be an integrated circuit chip having the ability to process signals. 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 devices, discrete gate or transistor logic devices, or discrete hardware components.

[0086] The methods, steps and logic block diagrams disclosed in the embodiments of the present invention can be implemented or executed. The general processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in the embodiments of the present invention can be directly embodied as a hardware decoding processor for execution, or can be executed by a combination of hardware and software modules in the decoding processor. The software module can be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The processor reads the information in the storage medium and completes the steps of the above method in combination with its hardware.

[0087] The storage medium may be a memory, which may be, for example, a volatile memory or a nonvolatile memory, or may include both volatile and nonvolatile memory.

[0088] Among them, the non-volatile memory can be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory can be a random access memory (RAM), which is used as an external cache. By way of example but not limitation, many forms of RAM are available, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM) and direct RAM bus random access memory (DRRAM).

[0089] The beneficial effects achieved by this application are as follows:

[0090] (1) The present application realizes automatic abnormal identification and abnormal regulation of environmental parameters when the medical device is in operation, so as to timely discover the abnormalities of environmental parameters when the medical device is in operation, and timely regulate the abnormal environmental parameters, so as to ensure that the environmental parameters when the medical device is in operation are within the normal range, thereby ensuring the reliability of the operation of the medical device.

[0091] (2) The present application calculates the operation abnormality value of the medical device based on the working status data of the medical device; if the operation abnormality value of the medical device is greater than a preset operation safety threshold, the medical device is shut down for maintenance, thereby identifying the severity of the abnormality in the operation of the medical device, and shutting down the medical device that exceeds the operation safety threshold for maintenance, thereby improving the safety and reliability of the operation of the medical device.

[0092] In the description of this application, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, "plurality" means two or more, unless otherwise clearly and specifically defined.

[0093] In the description of the present application, the word "for example" is used to mean "used as an example, illustration or explanation". Any embodiment described as "for example" in the present application is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is given to enable any technician in the field to implement and use the present invention. In the following description, details are listed for the purpose of explanation. It should be understood that a person of ordinary skill in the art can recognize that the present invention can be implemented without using these specific details. In other examples, well-known structures and processes will not be elaborated in detail to avoid obscuring the description of the present invention with unnecessary details. Therefore, the present invention is not intended to be limited to the embodiments shown, but is consistent with the widest scope consistent with the principles and features disclosed in the present application.

[0094] The above description is only an embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.

Claims

1. A method for processing medical equipment operation status data, characterized in that: The method includes: Real-time acquisition of environmental parameter data and working status data of medical equipment under operating status; Based on the pre-built environmental parameter abnormality recognition model, the environmental parameter data obtained in real time under the operating state of the medical equipment is identified to obtain abnormal environmental parameter data; According to the abnormal environmental parameter data, the abnormal environmental parameters under the operation state of the medical equipment are regulated; Calculate the abnormal operation value of the medical equipment according to the working status data of the medical equipment; Compare the abnormal operation value of the medical device with the preset operation safety threshold. If the abnormal operation value of the medical device is greater than the preset operation safety threshold, the medical device is shut down for maintenance. Otherwise, the medical device does not need to be shut down for maintenance. Obtaining the correlation impact data of the medical device on its associated medical devices, and calculating the reference value of the abnormal operation impact of the medical device on the associated medical devices based on the correlation impact data; Compare the reference value of the abnormal operation impact of the medical device on the associated medical device with the preset impact threshold. If the reference value of the abnormal operation impact of the medical device on the associated medical device is greater than the preset impact threshold, shut down the associated medical device or disconnect the associated medical device from the current medical device. Otherwise, there is no need to shut down the associated medical device.

2. The method for processing medical equipment operation status data according to claim 1, characterized in that: After acquiring the environmental parameter data and working status data of the medical equipment under the operating state in real time, the acquired environmental parameter data and working status data of the medical equipment under the operating state are uploaded to the database of the data management center.

3. The method for processing medical equipment operation status data according to claim 2, characterized in that: The environmental parameter data of a single medical device obtained is packaged into time series data, and each environmental parameter data corresponds to a corresponding data collection time; the working status data of a single medical device obtained is packaged into time series data, and each working status data corresponds to a corresponding data collection time; the packaged data is uploaded to the database of the data management center.

4. The method for processing medical equipment operation status data according to claim 1, characterized in that: The pre-built environmental parameter anomaly recognition model stores threshold values ​​of medical equipment working environment parameters; Based on the pre-built environmental parameter anomaly recognition model, when the real-time acquired environmental parameter data is input into the environmental parameter anomaly recognition model, the environmental parameter anomaly recognition model compares the real-time acquired environmental parameter data under the operating state of the medical device with the working environmental parameter threshold of the medical device. If the real-time acquired environmental parameter data under the operating state of the medical device exceeds the working environmental parameter threshold of the medical device, the abnormal environmental parameter data is output.

5. The method for processing medical equipment operation status data according to claim 1, characterized in that: The method for regulating abnormal environmental parameters in the operating state of medical equipment includes: if the environmental parameters in the operating state of the medical equipment obtained in real time are lower than the minimum value of the working environmental parameter threshold of the medical equipment, then the environmental parameters in the operating state of the medical equipment are increased; if the environmental parameters in the operating state of the medical equipment obtained in real time are higher than the maximum value of the working environmental parameter threshold of the medical equipment, then the environmental parameters in the operating state of the medical equipment are reduced.

6. The method for processing medical equipment operation status data according to claim 1, characterized in that: The working status data of medical equipment includes: medical equipment operating parameter data, medical equipment performance data, energy consumption data and / or abnormal shutdown data.

7. The method for processing medical equipment operation status data according to claim 6, characterized in that: The calculation formula for the operational abnormality of medical equipment is as follows: Among them, SY represents the abnormal operation value of the medical equipment; R1 represents the influence weight of the medical equipment operation parameter data on the abnormal operation value of the medical equipment; A represents the total number of types of medical equipment operation parameter data; E α Represents the weight factor of the operating parameter data of the αth medical device; Cy α Represents the measured average value of the operating parameter data of the αth type of medical equipment within the sampling period T1; α represents the standard value of the αth type of medical equipment operating parameter data; R2 represents the weight of the impact of medical equipment performance data on the abnormal operation value of medical equipment; B represents the total number of types of medical equipment performance data; q β Represents the weight factor of the performance data of the βth medical device; Xn β Represents the measured average value of the performance data of the βth type of medical equipment within the sampling period; Xb β represents the standard value of the performance data of the βth type of medical equipment; R3 represents the weight of the impact of energy consumption data on the abnormal operation value of medical equipment; D represents the total number of types of energy consumption data; W γ Represents the weight factor of the γth energy consumption data; NX γ Represents the measured value of the γth energy consumption data within the sampling period; NB γ represents the standard value of the γth energy consumption data per unit time; R4 represents the influence weight of abnormal downtime data on the abnormal operation value of medical equipment; YC represents the number of abnormal downtimes within the sampling period; ΔT δ Indicates the interval between two adjacent abnormal shutdowns in the δth group within the sampling period.

8. The method for processing medical equipment operation status data according to claim 1, characterized in that: The associated impact data of medical equipment on its associated medical equipment include: the interval duration of the shutdown of its associated medical equipment after the shutdown of the medical equipment, the change data of the operating status data of its associated medical equipment after the shutdown of the medical equipment, the change data of the performance data of its associated medical equipment after the shutdown of the medical equipment, and the change data of the energy consumption data of its associated medical equipment after the shutdown of the medical equipment.

9. A medical equipment operation status data processing system, characterized in that: The method according to any one of claims 1 to 8 is implemented, the system comprising: A real-time acquisition module, used to obtain environmental parameter data and working status data of the medical device in real time when the medical device is in operation; An abnormality recognition module, used to identify the environmental parameter data obtained in real time under the operating state of the medical device based on a pre-built environmental parameter abnormality recognition model, and obtain abnormal environmental parameter data; A control module, used for controlling abnormal environmental parameters under the operating state of the medical device according to abnormal environmental parameter data; A data processor, used for calculating an operational abnormality value of the medical device according to the working status data of the medical device; The data comparator is used to compare the abnormal operation value of the medical device with the preset operation safety threshold. If the abnormal operation value of the medical device is greater than the preset operation safety threshold, the medical device is shut down for maintenance. Otherwise, the medical device does not need to be shut down for maintenance.

10. The medical equipment operation status data processing system according to claim 9, characterized in that: The system also includes: An associated impact data acquisition module is used to acquire associated impact data of a medical device on its associated medical devices; The data processor is further used to calculate a reference value of the abnormal operation impact of the medical device on the associated medical device based on the associated impact data; The data comparator is also used to compare the reference value of the abnormal operation impact of the medical device on the associated medical device with the preset impact threshold. If the reference value of the abnormal operation impact of the medical device on the associated medical device is greater than the preset impact threshold, the associated medical device is shut down or the connection between the associated medical device and the current medical device is disconnected. Otherwise, there is no need to shut down the associated medical device.

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