CN116030955A - Medical equipment state monitoring method and related device based on Internet of things - Google Patents
Medical equipment state monitoring method and related device based on Internet of things Download PDFInfo
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Abstract
The invention relates to the field of artificial intelligence, and discloses a medical equipment state monitoring method based on the Internet of things and a related device, which are used for improving the accuracy of medical equipment state monitoring. The method comprises the following steps: information screening and feature extraction are carried out on the state information set to obtain a state feature set; vector conversion is carried out on the state feature set to obtain a target state vector, and the target state vector is input into a preset medical equipment state analysis model to carry out medical equipment state analysis to obtain a target state analysis result; acquiring historical periodic state data of a plurality of medical devices, and generating a standard state analysis result according to the historical periodic state data and a target monitoring period; comparing the result characteristics of the standard state analysis result with those of the target state analysis result to obtain a target characteristic comparison result; and generating device control strategies of the plurality of medical devices according to the target characteristic comparison result, and adjusting device parameters of the plurality of medical devices according to the device control strategies.
Description
Technical Field
The invention relates to the field of artificial intelligence, in particular to a medical equipment state monitoring method based on the Internet of things and a related device.
Background
Along with the running development of the internet of things technology, the medical industry gradually realizes intelligent medical treatment, the intelligent medical treatment can effectively improve the intellectualization of the medical industry, more and more medical equipment at present realizes intelligent management, and the medical equipment becomes an important field of modern medical treatment.
The existing scheme needs to manually check the medical equipment one by one to check the potential equipment fault problem of the medical equipment, and is greatly influenced by manual experience, so that the equipment state monitoring accuracy of the existing scheme is lower.
Disclosure of Invention
The invention provides a medical equipment state monitoring method and a related device based on the Internet of things, which are used for improving the accuracy of medical equipment state monitoring.
The first aspect of the invention provides a medical equipment state monitoring method based on the Internet of things, which comprises the following steps: acquiring state information sets of a plurality of medical devices based on a preset Internet of things cloud platform and a target monitoring period, and carrying out information screening and feature extraction on the state information sets to obtain state feature sets; vector conversion is carried out on the state feature set to obtain a target state vector, and the target state vector is input into a preset medical equipment state analysis model to carry out medical equipment state analysis to obtain a target state analysis result; acquiring historical periodic state data of the plurality of medical devices, and generating a standard state analysis result according to the historical periodic state data and the target monitoring period; comparing the standard state analysis result with the target state analysis result to obtain a target feature comparison result; and generating device control strategies of the plurality of medical devices according to the target characteristic comparison result, and adjusting device parameters of the plurality of medical devices according to the device control strategies.
Optionally, in a first implementation manner of the first aspect of the present invention, the acquiring a state information set of a plurality of medical devices based on a preset internet of things cloud platform and a target monitoring period, and performing information screening and feature extraction on the state information set to obtain a state feature set includes: acquiring state information corresponding to a plurality of medical devices in a target monitoring period based on a preset internet of things cloud platform, and generating a state information set; dividing the state information set into information subsets to obtain a state information subset corresponding to each medical device; screening information error values of the state information subsets corresponding to each medical device to obtain standard information subsets corresponding to each medical device; carrying out state parameter configuration on the standard information subsets corresponding to each medical device to obtain configuration information subsets corresponding to each medical device; and carrying out feature extraction and subset combination on the configuration information subset corresponding to each medical device to obtain a state feature set.
Optionally, in a second implementation manner of the first aspect of the present invention, the performing vector conversion on the state feature set to obtain a target state vector, and inputting the target state vector into a preset medical equipment state analysis model to perform medical equipment state analysis, so as to obtain a target state analysis result, where the method includes: vector conversion is carried out on the state feature set to obtain a target state vector; generating a plurality of state sub-vectors according to the target state vector; inputting the plurality of state subvectors into a preset medical equipment state analysis model, wherein the medical equipment state analysis model comprises: a plurality of medical device state analysis sub-models; performing medical equipment state analysis on the plurality of state sub-vectors through the plurality of medical equipment state analysis sub-models, and outputting initial state analysis results corresponding to each medical equipment state analysis sub-model; and carrying out result fusion on the initial state analysis result based on a preset model weight to obtain a target state analysis result.
Optionally, in a third implementation manner of the first aspect of the present invention, the acquiring historical periodic status data of the plurality of medical devices, and generating a standard status analysis result according to the historical periodic status data and the target monitoring period includes: inquiring historical periodic state data of the plurality of medical devices from the internet of things cloud platform; performing time interval matching on the target monitoring time intervals to obtain a plurality of historical monitoring time intervals; extracting a plurality of historical state analysis results corresponding to the plurality of historical monitoring periods from the historical periodic state data; and carrying out average operation on the plurality of historical state analysis results to generate a standard state analysis result corresponding to the target monitoring period.
Optionally, in a fourth implementation manner of the first aspect of the present invention, the comparing the result feature of the standard state analysis result and the target state analysis result to obtain a target feature comparison result includes: extracting a first state evaluation index corresponding to the standard state analysis result and extracting a second state evaluation index corresponding to the target state analysis result; performing characteristic comparison on the first state evaluation index and the second state evaluation index to obtain index comparison records; and generating a target characteristic comparison result according to the index comparison record.
Optionally, in a fifth implementation manner of the first aspect of the present invention, the generating an equipment control policy of the plurality of medical equipment according to the target feature comparison result, and adjusting equipment parameters of the plurality of medical equipment according to the equipment control policy includes: determining abnormal operation parameters of the plurality of medical devices according to the target feature comparison result; performing parameter optimization configuration on the abnormal operation parameters, and generating device control strategies of the plurality of medical devices; and adjusting the device parameters of the plurality of medical devices according to the device control strategy.
Optionally, in a sixth implementation manner of the first aspect of the present invention, the method for monitoring a state of a medical device based on the internet of things further includes: after the equipment parameter adjustment is completed, acquiring equipment parameter data corresponding to the next monitoring period of the plurality of medical equipment; judging whether the equipment parameter data exceeds a preset parameter threshold value or not; and if the device parameters of the plurality of medical devices are exceeded, readjusting the device parameters of the plurality of medical devices.
The second aspect of the present invention provides a medical device state monitoring apparatus based on the internet of things, the medical device state monitoring apparatus based on the internet of things comprising: the acquisition module is used for acquiring state information sets of a plurality of medical devices based on a preset internet of things cloud platform and a target monitoring period, and carrying out information screening and feature extraction on the state information sets to obtain state feature sets; the analysis module is used for carrying out vector conversion on the state feature set to obtain a target state vector, inputting the target state vector into a preset medical equipment state analysis model to carry out medical equipment state analysis, and obtaining a target state analysis result; the processing module is used for acquiring historical periodic state data of the plurality of medical devices and generating a standard state analysis result according to the historical periodic state data and the target monitoring period; the comparison module is used for comparing the result characteristics of the standard state analysis result and the target state analysis result to obtain a target characteristic comparison result; and the adjusting module is used for generating equipment control strategies of the plurality of medical equipment according to the target characteristic comparison result and adjusting equipment parameters of the plurality of medical equipment according to the equipment control strategies.
Optionally, in a first implementation manner of the second aspect of the present invention, the acquiring module is specifically configured to: acquiring state information corresponding to a plurality of medical devices in a target monitoring period based on a preset internet of things cloud platform, and generating a state information set; dividing the state information set into information subsets to obtain a state information subset corresponding to each medical device; screening information error values of the state information subsets corresponding to each medical device to obtain standard information subsets corresponding to each medical device; carrying out state parameter configuration on the standard information subsets corresponding to each medical device to obtain configuration information subsets corresponding to each medical device; and carrying out feature extraction and subset combination on the configuration information subset corresponding to each medical device to obtain a state feature set.
Optionally, in a second implementation manner of the second aspect of the present invention, the analysis module is specifically configured to: vector conversion is carried out on the state feature set to obtain a target state vector; generating a plurality of state sub-vectors according to the target state vector; inputting the plurality of state subvectors into a preset medical equipment state analysis model, wherein the medical equipment state analysis model comprises: a plurality of medical device state analysis sub-models; performing medical equipment state analysis on the plurality of state sub-vectors through the plurality of medical equipment state analysis sub-models, and outputting initial state analysis results corresponding to each medical equipment state analysis sub-model; and carrying out result fusion on the initial state analysis result based on a preset model weight to obtain a target state analysis result.
Optionally, in a third implementation manner of the second aspect of the present invention, the processing module is specifically configured to: inquiring historical periodic state data of the plurality of medical devices from the internet of things cloud platform; performing time interval matching on the target monitoring time intervals to obtain a plurality of historical monitoring time intervals; extracting a plurality of historical state analysis results corresponding to the plurality of historical monitoring periods from the historical periodic state data; and carrying out average operation on the plurality of historical state analysis results to generate a standard state analysis result corresponding to the target monitoring period.
Optionally, in a fourth implementation manner of the second aspect of the present invention, the comparison module is specifically configured to: extracting a first state evaluation index corresponding to the standard state analysis result and extracting a second state evaluation index corresponding to the target state analysis result; performing characteristic comparison on the first state evaluation index and the second state evaluation index to obtain index comparison records; and generating a target characteristic comparison result according to the index comparison record.
Optionally, in a fifth implementation manner of the second aspect of the present invention, the adjusting module is specifically configured to: determining abnormal operation parameters of the plurality of medical devices according to the target feature comparison result; performing parameter optimization configuration on the abnormal operation parameters, and generating device control strategies of the plurality of medical devices; and adjusting the device parameters of the plurality of medical devices according to the device control strategy.
Optionally, in a sixth implementation manner of the second aspect of the present invention, the medical device status monitoring apparatus based on the internet of things further includes: the judging module is used for acquiring the equipment parameter data corresponding to the next monitoring period of the plurality of medical equipment after the equipment parameter adjustment is completed; judging whether the equipment parameter data exceeds a preset parameter threshold value or not; and if the device parameters of the plurality of medical devices are exceeded, readjusting the device parameters of the plurality of medical devices.
A third aspect of the present invention provides a medical device status monitoring device based on the internet of things, including: a memory and at least one processor, the memory having instructions stored therein; and the at least one processor invokes the instructions in the memory to enable the medical equipment state monitoring equipment based on the Internet of things to execute the medical equipment state monitoring method based on the Internet of things.
A fourth aspect of the present invention provides a computer-readable storage medium having instructions stored therein, which when run on a computer, cause the computer to perform the above-described medical device status monitoring method based on the internet of things.
In the technical scheme provided by the invention, information screening and feature extraction are carried out on the state information set to obtain a state feature set; vector conversion is carried out on the state feature set to obtain a target state vector, and the target state vector is input into a preset medical equipment state analysis model to carry out medical equipment state analysis to obtain a target state analysis result; acquiring historical periodic state data of a plurality of medical devices, and generating a standard state analysis result according to the historical periodic state data and a target monitoring period; comparing the result characteristics of the standard state analysis result with those of the target state analysis result to obtain a target characteristic comparison result; according to the method, the device control strategies of the plurality of medical devices are generated according to the target feature comparison result, and the device parameters of the plurality of medical devices are adjusted according to the device control strategies.
Drawings
FIG. 1 is a schematic diagram of an embodiment of a medical device status monitoring method based on the Internet of things in an embodiment of the present invention;
FIG. 2 is a schematic diagram of another embodiment of a medical device status monitoring method based on the Internet of things in an embodiment of the present invention;
FIG. 3 is a schematic diagram of an embodiment of a medical device status monitoring apparatus based on the Internet of things in an embodiment of the present invention;
FIG. 4 is a schematic diagram of another embodiment of a medical device status monitoring apparatus based on the Internet of things in an embodiment of the present invention;
fig. 5 is a schematic diagram of an embodiment of a medical device status monitoring device based on the internet of things in an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a medical equipment state monitoring method based on the Internet of things and a related device, which are used for improving the accuracy of medical equipment state monitoring. The terms "first," "second," "third," "fourth" and the like in the description and in the claims and in the above drawings, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments described herein may be implemented in other sequences than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus.
For ease of understanding, a specific flow of an embodiment of the present invention is described below, referring to fig. 1, and an embodiment of a medical device status monitoring method based on the internet of things in the embodiment of the present invention includes:
101. acquiring state information sets of a plurality of medical devices based on a preset internet of things cloud platform and a target monitoring period, and carrying out information screening and feature extraction on the state information sets to obtain state feature sets;
it can be understood that the execution subject of the present invention may be a medical device status monitoring apparatus based on the internet of things, and may also be a terminal or a server, which is not limited herein. The embodiment of the invention is described by taking a server as an execution main body as an example.
Specifically, a frequency sequence of detection signals of each monitoring device in the current period is received in real time, a frequency sequence is constructed, the detection information attribute is in a mobility state or a non-mobility state, the frequency sequence in the non-mobility state is subjected to steady state inspection, if the frequency sequence is in a steady state, a signal corresponding target is in a static state in the period, the non-steady state signal is utilized to judge whether the signal corresponding target is in an operating state or not, and if the signal not is in a slow state, otherwise, the signal corresponding target is in the static state or not.
102. Vector conversion is carried out on the state feature set to obtain a target state vector, and the target state vector is input into a preset medical equipment state analysis model to carry out medical equipment state analysis to obtain a target state analysis result;
specifically, the method comprises the following steps of carrying out vector conversion by a state feature set, firstly, multiplying two vectors by a server to obtain a vector element multiplicand and a vector element multiplier, converting the vector element multiplicand and the vector element multiplier into target state vectors, forming converted vector element multiplicand and converted vector element multiplier, inputting the target state vectors into a preset medical equipment state analysis model to carry out medical equipment state analysis, and obtaining a target state analysis result.
103. Acquiring historical periodic state data of a plurality of medical devices, and generating a standard state analysis result according to the historical periodic state data and a target monitoring period;
specifically, the server collects historical periodic state data of a plurality of current medical devices, defines a life cycle operation and maintenance state of the optical channel according to the historical periodic state data, the historical periodic state data comprises topological structure data, historical alarm data and historical performance data, samples are marked on the collected historical periodic state data through active learning to obtain marked sample sets containing a plurality of marked data, characteristic engineering processing is conducted on the data in the marked sample sets, and standard state analysis results are generated according to the historical periodic state data and target monitoring time periods.
104. Comparing the result characteristics of the standard state analysis result with those of the target state analysis result to obtain a target characteristic comparison result;
specifically, cutting a standard state analysis result based on a statistical histogram, further screening each feature point, selecting effective feature points, comparing, adopting a comparison method based on RST invariant features, firstly constructing a nearest neighbor feature structure, then carrying out preliminary verification on feature point pairs, then carrying out triangle similarity verification, identifying N feature point sets and M feature point sets of a sample by using a comparison algorithm, obtaining the similarity of A and B, and obtaining a target feature comparison result according to the similarity obtained before.
105. And generating device control strategies of the plurality of medical devices according to the target characteristic comparison result, and adjusting device parameters of the plurality of medical devices according to the device control strategies.
Specifically, the method for obtaining the target feature comparison result, processing the target feature comparison result by using a predetermined model for partitioning and ordering the access control strategy, determining a partition access control strategy corresponding to the target feature comparison result, recording the target feature comparison result according to the corresponding partition access control strategy, and determining the model for partitioning and ordering the access control strategy in advance comprises the following steps: and obtaining boundary access control strategies, dividing and sequencing the boundary access control strategies according to the access security level, determining partition access strategies corresponding to each partition, and finally adjusting equipment parameters of a plurality of medical equipment by the server according to the equipment control strategies.
In the embodiment of the invention, information screening and feature extraction are carried out on the state information set to obtain a state feature set; vector conversion is carried out on the state feature set to obtain a target state vector, and the target state vector is input into a preset medical equipment state analysis model to carry out medical equipment state analysis to obtain a target state analysis result; acquiring historical periodic state data of a plurality of medical devices, and generating a standard state analysis result according to the historical periodic state data and a target monitoring period; comparing the result characteristics of the standard state analysis result with those of the target state analysis result to obtain a target characteristic comparison result; according to the method, the device control strategies of the plurality of medical devices are generated according to the target feature comparison result, and the device parameters of the plurality of medical devices are adjusted according to the device control strategies.
Referring to fig. 2, another embodiment of a medical device status monitoring method based on the internet of things in an embodiment of the present invention includes:
201. Acquiring state information sets of a plurality of medical devices based on a preset internet of things cloud platform and a target monitoring period, and carrying out information screening and feature extraction on the state information sets to obtain state feature sets;
specifically, acquiring state information corresponding to a target monitoring period of a plurality of medical devices based on a preset internet of things cloud platform, and generating a state information set; dividing the state information set into information subsets to obtain a state information subset corresponding to each medical device; screening information error values of the state information subsets corresponding to each medical device to obtain standard information subsets corresponding to each medical device; carrying out state parameter configuration on the standard information subsets corresponding to each medical device to obtain configuration information subsets corresponding to each medical device; and carrying out feature extraction and subset combination on the configuration information subset corresponding to each medical device to obtain a state feature set.
The method comprises the steps that a server obtains state information corresponding to a target monitoring period of a plurality of medical devices based on a preset internet of things cloud platform, a state information set is generated, the server further carries out grouping processing on the user set according to a preset user grouping feature set to obtain at least one standard information subset, the user grouping feature set comprises at least one user grouping feature, the user grouping feature comprises at least one grouping index and at least one grouping division point of each grouping index, for any standard information subset, the configuration information sensitivity of a user in the standard information subset is determined according to the user grouping feature corresponding to the standard information subset, and the configuration information subset corresponding to each medical device is obtained according to the configuration information sensitivity of the user in the at least one standard information subset; and carrying out feature extraction and subset combination on the configuration information subset corresponding to each medical device to obtain a state feature set.
202. Vector conversion is carried out on the state feature set to obtain a target state vector;
203. generating a plurality of state sub-vectors according to the target state vector;
204. inputting a plurality of state subvectors into a preset medical equipment state analysis model, wherein the medical equipment state analysis model comprises: a plurality of medical device state analysis sub-models;
specifically, a logic relation among an initial state vector, a folding distance and a corresponding state vector is established, selective bit replacement of the initial state vector is realized through decoding output of the folding distance, the state vector corresponding to the folding distance is generated, and then the generated state vector and the folding seed vector are sequentially subjected to exclusive-or operation according to bits, so that the state vector of the folding counter is selectively generated, a plurality of state sub-vectors are finally generated according to a target state vector, and the plurality of state sub-vectors are input into a preset medical equipment state analysis model, wherein the medical equipment state analysis model comprises: a plurality of medical device state analysis sub-models.
205. Performing medical equipment state analysis on the plurality of state sub-vectors through the plurality of medical equipment state analysis sub-models, and outputting an initial state analysis result corresponding to each medical equipment state analysis sub-model;
206. Performing result fusion on the initial state analysis result based on a preset model weight to obtain a target state analysis result;
specifically, the medical equipment state analysis is carried out on a plurality of state sub-vectors through a plurality of medical equipment state analysis sub-models, an initial state analysis result corresponding to each medical equipment state analysis sub-model is output, further, the server constructs a two-way long-short-term memory network, the server extracts an initial entity identification result of the initial state analysis result to be identified according to the two-way long-short-term memory network, extracts a target entity identification result of the initial state analysis result of the replaced entity identification result based on a preset rule of named entity identification, and fuses the initial entity identification result and the target entity identification result to obtain the target state analysis result.
207. Acquiring historical periodic state data of a plurality of medical devices, and generating a standard state analysis result according to the historical periodic state data and a target monitoring period;
specifically, inquiring historical periodic state data of a plurality of medical devices from an internet-of-things cloud platform; performing time interval matching on the target monitoring time intervals to obtain a plurality of historical monitoring time intervals; extracting a plurality of historical state analysis results corresponding to a plurality of historical monitoring periods from the historical periodic state data; and carrying out average operation on the plurality of historical state analysis results to generate a standard state analysis result corresponding to the target monitoring period.
The method comprises the steps that a server establishes a historical state sequence case base of a target area according to historical state index data and state analysis data monitored by each medical device in the target area, a sequence in the case base is composed of the state analysis data, the sequence of a future time period is obtained according to the state analysis data of the predicted target area in the future time period, similarity comparison is carried out between the obtained sequence of the future time period and a sequence in a historical heavy historical state sequence case base, heavy historical state conditions of the target area in the future time period are judged, average operation is carried out on a plurality of historical state analysis results, and a standard state analysis result corresponding to the target monitoring time period is generated.
208. Comparing the result characteristics of the standard state analysis result with those of the target state analysis result to obtain a target characteristic comparison result;
specifically, a first state evaluation index corresponding to a standard state analysis result is extracted, and a second state evaluation index corresponding to a target state analysis result is extracted; performing characteristic comparison on the first state evaluation index and the second state evaluation index to obtain index comparison records; and generating a target characteristic comparison result according to the index comparison record.
The server obtains index values of all final stage evaluation indexes in a state evaluation system of the pre-constructed feature comparison function, determines the state evaluation indexes of all final stage evaluation indexes based on the first state evaluation indexes and the second state evaluation indexes of all final stage evaluation indexes respectively, determines the comprehensive evaluation value of the feature comparison function based on the index values of all final stage evaluation indexes and the state evaluation indexes of all final stage evaluation indexes, and generates a target feature comparison result according to index comparison records.
209. And generating device control strategies of the plurality of medical devices according to the target characteristic comparison result, and adjusting device parameters of the plurality of medical devices according to the device control strategies.
Specifically, determining abnormal operation parameters of a plurality of medical devices according to the target feature comparison result; performing parameter optimization configuration on abnormal operation parameters, and generating device control strategies of a plurality of medical devices; and adjusting the device parameters of the plurality of medical devices according to the device control strategy.
Optionally, acquiring real-time operation parameters of the medical equipment, calculating a covariance matrix of the real-time operation parameters, calculating a characteristic value set and a characteristic vector set of the covariance matrix, reducing the dimension of the characteristic vector set by adopting a principal component analysis method according to the characteristic value set to obtain a dimension-reduced characteristic vector set, selecting effective real-time operation parameters from the real-time operation parameters according to the dimension-reduced characteristic vector set to obtain effective real-time operation parameters, acquiring reference operation parameters, calculating real-time divergence values of the effective real-time operation parameters and the reference operation parameters, acquiring a divergence value threshold, determining the divergence value threshold according to the reference operation parameters, performing anomaly detection on the real-time operation parameters according to the real-time divergence values and the divergence value threshold, and generating equipment control strategies of a plurality of medical equipment; and adjusting the device parameters of the plurality of medical devices according to the device control strategy.
Optionally, after the device parameter adjustment is completed, obtaining device parameter data corresponding to a next monitoring period of the plurality of medical devices; judging whether the equipment parameter data exceeds a preset parameter threshold value or not; if the device parameters of the plurality of medical devices are exceeded, the device parameters of the plurality of medical devices are readjusted.
The method comprises the steps of obtaining equipment operation parameters and power spectrum density data of each monitoring period, carrying out threshold division identification according to the equipment operation parameters of each monitoring period to obtain threshold parameters, carrying out range positioning on an operation parameter range according to the equipment operation parameters of each monitoring period to obtain operation parameter range parameters, and obtaining equipment parameter data corresponding to the next monitoring period of a plurality of medical equipment; judging whether the equipment parameter data exceeds a preset parameter threshold value or not; if the device parameters of the plurality of medical devices are exceeded, the device parameters of the plurality of medical devices are readjusted.
In the embodiment of the invention, information screening and feature extraction are carried out on the state information set to obtain a state feature set; vector conversion is carried out on the state feature set to obtain a target state vector, and the target state vector is input into a preset medical equipment state analysis model to carry out medical equipment state analysis to obtain a target state analysis result; acquiring historical periodic state data of a plurality of medical devices, and generating a standard state analysis result according to the historical periodic state data and a target monitoring period; comparing the result characteristics of the standard state analysis result with those of the target state analysis result to obtain a target characteristic comparison result; according to the method, the device control strategies of the plurality of medical devices are generated according to the target feature comparison result, and the device parameters of the plurality of medical devices are adjusted according to the device control strategies.
The method for monitoring the state of the medical equipment based on the internet of things in the embodiment of the present invention is described above, and the device for monitoring the state of the medical equipment based on the internet of things in the embodiment of the present invention is described below, referring to fig. 3, one embodiment of the device for monitoring the state of the medical equipment based on the internet of things in the embodiment of the present invention includes:
the acquiring module 301 is configured to acquire a state information set of a plurality of medical devices based on a preset internet of things cloud platform and a target monitoring period, and perform information screening and feature extraction on the state information set to obtain a state feature set;
the analysis module 302 is configured to perform vector conversion on the state feature set to obtain a target state vector, and input the target state vector into a preset medical equipment state analysis model to perform medical equipment state analysis, so as to obtain a target state analysis result;
a processing module 303, configured to obtain historical periodic status data of the plurality of medical devices, and generate a standard status analysis result according to the historical periodic status data and the target monitoring period;
the comparison module 304 is configured to perform result feature comparison on the standard state analysis result and the target state analysis result to obtain a target feature comparison result;
And the adjustment module 305 is configured to generate device control policies of the plurality of medical devices according to the target feature comparison result, and perform device parameter adjustment on the plurality of medical devices according to the device control policies.
In the embodiment of the invention, information screening and feature extraction are carried out on the state information set to obtain a state feature set; vector conversion is carried out on the state feature set to obtain a target state vector, and the target state vector is input into a preset medical equipment state analysis model to carry out medical equipment state analysis to obtain a target state analysis result; acquiring historical periodic state data of a plurality of medical devices, and generating a standard state analysis result according to the historical periodic state data and a target monitoring period; comparing the result characteristics of the standard state analysis result with those of the target state analysis result to obtain a target characteristic comparison result; according to the method, the device control strategies of the plurality of medical devices are generated according to the target feature comparison result, and the device parameters of the plurality of medical devices are adjusted according to the device control strategies.
Referring to fig. 4, another embodiment of a medical device status monitoring apparatus based on the internet of things in an embodiment of the present invention includes:
the acquiring module 301 is configured to acquire a state information set of a plurality of medical devices based on a preset internet of things cloud platform and a target monitoring period, and perform information screening and feature extraction on the state information set to obtain a state feature set;
the analysis module 302 is configured to perform vector conversion on the state feature set to obtain a target state vector, and input the target state vector into a preset medical equipment state analysis model to perform medical equipment state analysis, so as to obtain a target state analysis result;
a processing module 303, configured to obtain historical periodic status data of the plurality of medical devices, and generate a standard status analysis result according to the historical periodic status data and the target monitoring period;
the comparison module 304 is configured to perform result feature comparison on the standard state analysis result and the target state analysis result to obtain a target feature comparison result;
and the adjustment module 305 is configured to generate device control policies of the plurality of medical devices according to the target feature comparison result, and perform device parameter adjustment on the plurality of medical devices according to the device control policies.
Optionally, the acquiring module 301 is specifically configured to: acquiring state information corresponding to a plurality of medical devices in a target monitoring period based on a preset internet of things cloud platform, and generating a state information set; dividing the state information set into information subsets to obtain a state information subset corresponding to each medical device; screening information error values of the state information subsets corresponding to each medical device to obtain standard information subsets corresponding to each medical device; carrying out state parameter configuration on the standard information subsets corresponding to each medical device to obtain configuration information subsets corresponding to each medical device; and carrying out feature extraction and subset combination on the configuration information subset corresponding to each medical device to obtain a state feature set.
Optionally, the analysis module 302 is specifically configured to: vector conversion is carried out on the state feature set to obtain a target state vector; generating a plurality of state sub-vectors according to the target state vector; inputting the plurality of state subvectors into a preset medical equipment state analysis model, wherein the medical equipment state analysis model comprises: a plurality of medical device state analysis sub-models; performing medical equipment state analysis on the plurality of state sub-vectors through the plurality of medical equipment state analysis sub-models, and outputting initial state analysis results corresponding to each medical equipment state analysis sub-model; and carrying out result fusion on the initial state analysis result based on a preset model weight to obtain a target state analysis result.
Optionally, the processing module 303 is specifically configured to: inquiring historical periodic state data of the plurality of medical devices from the internet of things cloud platform; performing time interval matching on the target monitoring time intervals to obtain a plurality of historical monitoring time intervals; extracting a plurality of historical state analysis results corresponding to the plurality of historical monitoring periods from the historical periodic state data; and carrying out average operation on the plurality of historical state analysis results to generate a standard state analysis result corresponding to the target monitoring period.
Optionally, the comparison module 304 is specifically configured to: extracting a first state evaluation index corresponding to the standard state analysis result and extracting a second state evaluation index corresponding to the target state analysis result; performing characteristic comparison on the first state evaluation index and the second state evaluation index to obtain index comparison records; and generating a target characteristic comparison result according to the index comparison record.
Optionally, the adjusting module 305 is specifically configured to: determining abnormal operation parameters of the plurality of medical devices according to the target feature comparison result; performing parameter optimization configuration on the abnormal operation parameters, and generating device control strategies of the plurality of medical devices; and adjusting the device parameters of the plurality of medical devices according to the device control strategy.
Optionally, the medical equipment state monitoring device based on the internet of things further includes:
a judging module 306, configured to obtain device parameter data corresponding to a next monitoring period of the plurality of medical devices after device parameter adjustment is completed; judging whether the equipment parameter data exceeds a preset parameter threshold value or not; and if the device parameters of the plurality of medical devices are exceeded, readjusting the device parameters of the plurality of medical devices.
In the embodiment of the invention, information screening and feature extraction are carried out on the state information set to obtain a state feature set; vector conversion is carried out on the state feature set to obtain a target state vector, and the target state vector is input into a preset medical equipment state analysis model to carry out medical equipment state analysis to obtain a target state analysis result; acquiring historical periodic state data of a plurality of medical devices, and generating a standard state analysis result according to the historical periodic state data and a target monitoring period; comparing the result characteristics of the standard state analysis result with those of the target state analysis result to obtain a target characteristic comparison result; according to the method, the device control strategies of the plurality of medical devices are generated according to the target feature comparison result, and the device parameters of the plurality of medical devices are adjusted according to the device control strategies.
The medical equipment state monitoring device based on the internet of things in the embodiment of the invention is described in detail from the angle of the modularized functional entity in the above fig. 3 and 4, and the medical equipment state monitoring device based on the internet of things in the embodiment of the invention is described in detail from the angle of hardware processing.
Fig. 5 is a schematic structural diagram of a medical device status monitoring device based on the internet of things, where the medical device status monitoring device 500 based on the internet of things may generate relatively large differences due to different configurations or performances, and may include one or more processors (central processing units, CPU) 510 (e.g., one or more processors) and a memory 520, and one or more storage media 530 (e.g., one or more mass storage devices) storing application programs 533 or data 532. Wherein memory 520 and storage medium 530 may be transitory or persistent storage. The program stored on the storage medium 530 may include one or more modules (not shown), each of which may include a series of instruction operations in the internet of things-based medical device status monitoring device 500. Still further, the processor 510 may be configured to communicate with the storage medium 530 to execute a series of instruction operations in the storage medium 530 on the internet of things-based medical device status monitoring device 500.
The internet of things-based medical device status monitoring device 500 may also include one or more power supplies 540, one or more wired or wireless network interfaces 550, one or more input/output interfaces 560, and/or one or more operating systems 531, such as Windows service, mac OS X, unix, linux, freeBSD, and the like. It will be appreciated by those skilled in the art that the internet of things-based medical device status monitoring device structure shown in fig. 5 does not constitute a limitation of the internet of things-based medical device status monitoring device, and may include more or fewer components than shown, or may combine certain components, or may be a different arrangement of components.
The invention also provides medical equipment state monitoring equipment based on the Internet of things, which comprises a memory and a processor, wherein the memory stores computer readable instructions, and when the computer readable instructions are executed by the processor, the processor executes the steps of the medical equipment state monitoring method based on the Internet of things in the above embodiments.
The invention also provides a computer readable storage medium, which can be a nonvolatile computer readable storage medium, and can also be a volatile computer readable storage medium, wherein instructions are stored in the computer readable storage medium, and when the instructions run on a computer, the instructions cause the computer to execute the steps of the medical equipment state monitoring method based on the internet of things.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (random access memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. The medical equipment state monitoring method based on the Internet of things is characterized by comprising the following steps of:
acquiring state information sets of a plurality of medical devices based on a preset Internet of things cloud platform and a target monitoring period, and carrying out information screening and feature extraction on the state information sets to obtain state feature sets;
vector conversion is carried out on the state feature set to obtain a target state vector, and the target state vector is input into a preset medical equipment state analysis model to carry out medical equipment state analysis to obtain a target state analysis result;
acquiring historical periodic state data of the plurality of medical devices, and generating a standard state analysis result according to the historical periodic state data and the target monitoring period;
Comparing the standard state analysis result with the target state analysis result to obtain a target feature comparison result;
and generating device control strategies of the plurality of medical devices according to the target characteristic comparison result, and adjusting device parameters of the plurality of medical devices according to the device control strategies.
2. The method for monitoring the state of medical equipment based on the internet of things according to claim 1, wherein the acquiring the state information sets of the plurality of medical equipment based on the preset internet of things cloud platform and the target monitoring period, and performing information screening and feature extraction on the state information sets to obtain a state feature set comprises:
acquiring state information corresponding to a plurality of medical devices in a target monitoring period based on a preset internet of things cloud platform, and generating a state information set;
dividing the state information set into information subsets to obtain a state information subset corresponding to each medical device;
screening information error values of the state information subsets corresponding to each medical device to obtain standard information subsets corresponding to each medical device;
carrying out state parameter configuration on the standard information subsets corresponding to each medical device to obtain configuration information subsets corresponding to each medical device;
And carrying out feature extraction and subset combination on the configuration information subset corresponding to each medical device to obtain a state feature set.
3. The method for monitoring the state of medical equipment based on the internet of things according to claim 1, wherein the performing vector conversion on the state feature set to obtain a target state vector, inputting the target state vector into a preset medical equipment state analysis model to perform medical equipment state analysis, and obtaining a target state analysis result includes:
vector conversion is carried out on the state feature set to obtain a target state vector;
generating a plurality of state sub-vectors according to the target state vector;
inputting the plurality of state subvectors into a preset medical equipment state analysis model, wherein the medical equipment state analysis model comprises: a plurality of medical device state analysis sub-models;
performing medical equipment state analysis on the plurality of state sub-vectors through the plurality of medical equipment state analysis sub-models, and outputting initial state analysis results corresponding to each medical equipment state analysis sub-model;
and carrying out result fusion on the initial state analysis result based on a preset model weight to obtain a target state analysis result.
4. The method for monitoring the state of medical devices based on the internet of things according to claim 1, wherein the steps of obtaining historical periodic state data of the plurality of medical devices and generating a standard state analysis result according to the historical periodic state data and the target monitoring period include:
inquiring historical periodic state data of the plurality of medical devices from the internet of things cloud platform;
performing time interval matching on the target monitoring time intervals to obtain a plurality of historical monitoring time intervals;
extracting a plurality of historical state analysis results corresponding to the plurality of historical monitoring periods from the historical periodic state data;
and carrying out average operation on the plurality of historical state analysis results to generate a standard state analysis result corresponding to the target monitoring period.
5. The method for monitoring the state of medical equipment based on the internet of things according to claim 1, wherein the step of comparing the standard state analysis result with the target state analysis result to obtain a target feature comparison result comprises the steps of:
extracting a first state evaluation index corresponding to the standard state analysis result and extracting a second state evaluation index corresponding to the target state analysis result;
Performing characteristic comparison on the first state evaluation index and the second state evaluation index to obtain index comparison records;
and generating a target characteristic comparison result according to the index comparison record.
6. The method for monitoring the status of medical devices based on the internet of things according to claim 1, wherein the generating the device control policy of the plurality of medical devices according to the target feature comparison result, and adjusting the device parameters of the plurality of medical devices according to the device control policy, comprises:
determining abnormal operation parameters of the plurality of medical devices according to the target feature comparison result;
performing parameter optimization configuration on the abnormal operation parameters, and generating device control strategies of the plurality of medical devices;
and adjusting the device parameters of the plurality of medical devices according to the device control strategy.
7. The medical device state monitoring method based on the internet of things according to claim 1, wherein the medical device state monitoring method based on the internet of things further comprises:
after the equipment parameter adjustment is completed, acquiring equipment parameter data corresponding to the next monitoring period of the plurality of medical equipment;
Judging whether the equipment parameter data exceeds a preset parameter threshold value or not;
and if the device parameters of the plurality of medical devices are exceeded, readjusting the device parameters of the plurality of medical devices.
8. Medical equipment state monitoring device based on thing networking, its characterized in that, medical equipment state monitoring device based on thing networking includes:
the acquisition module is used for acquiring state information sets of a plurality of medical devices based on a preset internet of things cloud platform and a target monitoring period, and carrying out information screening and feature extraction on the state information sets to obtain state feature sets;
the analysis module is used for carrying out vector conversion on the state feature set to obtain a target state vector, inputting the target state vector into a preset medical equipment state analysis model to carry out medical equipment state analysis, and obtaining a target state analysis result;
the processing module is used for acquiring historical periodic state data of the plurality of medical devices and generating a standard state analysis result according to the historical periodic state data and the target monitoring period;
the comparison module is used for comparing the result characteristics of the standard state analysis result and the target state analysis result to obtain a target characteristic comparison result;
And the adjusting module is used for generating equipment control strategies of the plurality of medical equipment according to the target characteristic comparison result and adjusting equipment parameters of the plurality of medical equipment according to the equipment control strategies.
9. Medical equipment state monitoring equipment based on thing networking, its characterized in that, medical equipment state monitoring equipment based on thing networking includes: a memory and at least one processor, the memory having instructions stored therein;
the at least one processor invokes the instructions in the memory to cause the internet of things based medical device status monitoring device to perform the internet of things based medical device status monitoring method of any of claims 1-7.
10. A computer readable storage medium having instructions stored thereon, which when executed by a processor, implement the medical device status monitoring method based on the internet of things of any one of claims 1-7.
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| CN116738351A (en) * | 2023-08-10 | 2023-09-12 | 重庆华悦生态环境工程研究院有限公司深圳分公司 | Drainage facility detection method and device |
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| CN115361424A (en) * | 2022-10-21 | 2022-11-18 | 新亿成科技(江苏)有限公司 | Medical equipment monitoring method and system based on data analysis of Internet of things |
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| CN114928166A (en) * | 2022-05-20 | 2022-08-19 | 广州市水电设备安装有限公司 | Medical equipment power distribution monitoring management system |
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