CN114338754A

CN114338754A - Operating room environment monitoring processing method and system

Info

Publication number: CN114338754A
Application number: CN202210228414.4A
Authority: CN
Inventors: 蔡子牛
Original assignee: Guangzhou Haijer Medical Equipment Co ltd
Current assignee: Guangzhou Haijer Medical Equipment Co ltd
Priority date: 2022-03-10
Filing date: 2022-03-10
Publication date: 2022-04-12
Anticipated expiration: 2042-03-10
Also published as: CN114338754B

Abstract

The application provides an operating room environment monitoring processing method and system, key monitoring measurement values of operating room environment monitoring equipment on environmental chemistry monitoring data, environmental physics monitoring data, environmental biology monitoring data and environmental pollution source monitoring data are determined through a unit contact network containing a circulation monitoring node, the environment monitoring tracking strength of the operating room environment monitoring data of an operating room monitoring task is comprehensively determined according to the key monitoring measurement values and a front monitoring measurement value, therefore, the subsequent front data filtering for environment monitoring tracking is convenient, the data processing amount is reduced, and the data processing efficiency is improved.

Description

Operating room environment monitoring processing method and system

Technical Field

The application relates to the technical field of environmental monitoring, in particular to a method and a system for monitoring and processing an operating room environment.

Background

When the operation is performed, the requirement on the environment of an operating room is very high, patients are often weak in constitution, the operation is more sensitive to the environment, and if the environmental index of the operating room does not meet the requirement, the relevant necessary elements (such as operating room appliances and the like) of the operating room are easily polluted, and the wounds are also easily polluted by germs, dust, toxic substances and the like in the air. Therefore, the operating room environment monitoring needs to be performed in real time, in the related art, in order to improve the operating room environment monitoring efficiency, the necessary operating room environment monitoring data is usually subjected to subsequent tracking processing, however, currently, screening for environment monitoring tracking of the operating room environment monitoring data is lacked, the subsequent preposed data filtering for environment monitoring tracking is inconvenient to perform, the data processing amount is increased, and the data processing efficiency is reduced.

Disclosure of Invention

In view of this, an object of the embodiments of the present application is to provide an operating room environment monitoring processing method, which is applied to an operating room environment monitoring processing system, where the operating room environment monitoring processing system is communicatively connected to an operating room environment monitoring device, and the method includes:

acquiring environmental monitoring data of each operating room environmental monitoring device in an operating room monitoring task, wherein the environmental monitoring data comprises environmental chemical monitoring data, environmental physical monitoring data, environmental biological monitoring data and environmental pollution source monitoring data of the operating room environmental monitoring devices;

acquiring a unit contact network of each operating room environment monitoring device according to a target environment monitoring contact network, wherein the unit contact network comprises cyclic monitoring nodes respectively associated with contact entities of the environmental chemical monitoring data, the environmental physical monitoring data, the environmental biological monitoring data and the environmental pollution source monitoring data of the operating room environment monitoring devices;

respectively acquiring key monitoring measurement values of contact entities where the environmental chemical monitoring data, the environmental physical monitoring data, the environmental biological monitoring data and the environmental pollution source monitoring data are located according to the unit contact network;

determining importance weight of the operating room environment monitoring equipment according to the key monitoring measurement value and a front monitoring measurement value corresponding to the operating room environment monitoring equipment;

and determining the environment monitoring tracking intensity of the operating room environment monitoring data of the operating room monitoring task according to the importance weight.

In some embodiments of the present application, after the step of determining the environmental monitoring tracking strength of the operating room environmental monitoring data of the operating room monitoring task according to the importance weight, the method further comprises:

acquiring operating room environment monitoring data of the operating room monitoring task matched with a target condition, and extracting target operating room environment monitoring data with traceable indexes from the operating room environment monitoring data;

acquiring a key transaction time-space domain and a key scheduling time-space domain of the target operating room environment monitoring data according to the cyclic monitoring node data of the target operating room environment monitoring data; the key abnormal movement time-space domain comprises time-space domain information of key abnormal movement, the key scheduling time-space domain comprises time-space domain information of key scheduling movement, and the target operating room environment monitoring data comprises environment monitoring temporary data and environment monitoring non-temporary data;

according to the key transaction time-space domain and the key scheduling time-space domain of the target operating room environment monitoring data, key monitoring entity extraction is carried out on the target operating room environment monitoring data to obtain key monitoring entity data of the target operating room environment monitoring data;

determining key monitoring mining characteristics of the target operating room environment monitoring data according to key monitoring entity data of the target operating room environment monitoring data;

and according to the key monitoring mining characteristics of the target operating room environment monitoring data, key data index element extraction is carried out on the target operating room environment monitoring data so as to determine key data index element information of the target operating room environment monitoring data.

In some embodiments of the present application, the basis is the key transaction time-space domain and the key scheduling time-space domain of target operating room environmental monitoring data, it is right that target operating room environmental monitoring data carries out key monitoring entity and draws, obtains the key monitoring entity data of target operating room environmental monitoring data includes:

performing abnormal data mutation point sequence mining on each relevant key inspection path in the time-space domain correlated data of the key transaction time-space domain and the key scheduling time-space domain of the target operating room environment monitoring data to obtain an abnormal data mutation point sequence of each key inspection path; the time-space domain associated data is associated data corresponding to an operation preposed process comprising an operating room operation event;

corresponding to each key inspection path, determining a plurality of inspection data objects related to the key inspection path in the flow of the operating room operating event and a related metric value of each inspection data object related to the key inspection path according to the abnormal data mutation point sequence of the key inspection path;

corresponding to each key patrol inspection path, determining the key patrol inspection data object of the key patrol inspection path from a plurality of patrol inspection data objects related to the key patrol inspection path according to the related metric value of the key patrol inspection path to each related patrol inspection data object;

determining a patrol data object with target patrol category component characteristics matched with a key patrol data object of the target key patrol path in a patrol data object group as a target patrol data object according to patrol output indication information corresponding to the target key patrol path, and binding the target patrol data object to the target key patrol path;

and binding the target patrol data objects according to each target key patrol path to obtain key monitoring entity data of the target operating room environment monitoring data.

For example, in some embodiments of the present application, the abnormal data mutation point sequence of each highlight patrol path includes:

a plurality of routing inspection positions of the key routing inspection path and a relevant measurement value of each routing inspection position relevant to the key routing inspection path in an operating event of the operating room;

the method for determining a plurality of inspection data objects related to the key inspection path in the flow of the operating room operating event and the related metric value of each inspection data object related to the key inspection path according to the abnormal data mutation point sequence of the key inspection path comprises the following steps:

and corresponding to each key inspection path, identifying inspection data objects in the operating room operating event which can be contacted by a plurality of inspection positions of the key inspection path, and determining the relevant metric value of each inspection position of the key inspection path as the relevant metric value of the inspection data object which can be contacted by the inspection position.

For example, in some embodiments of the present application, identifying routing inspection data objects within the operating room operational event that are reachable by a plurality of inspection locations of the focused routing inspection path includes:

and determining the patrol data objects in the operating room operating event which can be contacted by each patrol position according to the patrol routing data of each patrol data object in the patrol range of the patrol data object and the patrol routing data of each patrol position of the key patrol path.

For example, in some embodiments of the present application, the determining the focused inspection data object of the focused inspection path from the plurality of inspection data objects associated with the focused inspection path according to the correlation metric of the focused inspection path for each inspection data object associated with the focused inspection path includes: and acquiring the patrol data object with the relevant metric value matched with the relevant metric value of the target from the plurality of patrol data objects relevant to the key patrol path, and taking the patrol data object as the key patrol data object of the key patrol path.

For example, in some embodiments of the present application, the obtaining, from a plurality of patrol data objects related to the focused patrol route, a patrol data object whose correlation metric matches a correlation metric of an object as a focused patrol data object of the focused patrol route includes: acquiring the patrol data object with the maximum correlation metric value from the plurality of patrol data objects related to the key patrol path, and using the patrol data object as the key patrol data object of the key patrol path; and/or obtaining the patrol data object with the correlation metric value larger than the target correlation metric value from a plurality of patrol data objects related to the key patrol path, and using the patrol data object as the key patrol data object of the key patrol path.

For example, in some embodiments of the present application, the determining, as a target patrol data object, a patrol data object in a patrol data object group whose target patrol category component characteristics match a critical patrol data object of a target critical patrol path according to patrol output indication information corresponding to the target critical patrol path includes:

acquiring the characteristic attribute of the target inspection category component characteristic of the key inspection data object of the target key inspection path as the target characteristic attribute according to the inspection output indication information corresponding to the target key inspection path;

and in the routing inspection data object group, acquiring the routing inspection data object of which the characteristic attribute of the target routing inspection class component characteristic and the target characteristic attribute accord with the target matching condition as the target routing inspection data object.

For example, in some embodiments of the present application, before obtaining, in the tour data object group, a tour data object whose feature attribute of the target tour class component feature and the target feature attribute meet a target matching condition as a target tour data object, the method further includes:

acquiring prior key monitoring entity information of the target key inspection path; the prior key point monitoring entity information represents the routing inspection key point data of the target key point routing inspection path to the routing inspection data object;

in the patrol data object group, obtaining the patrol data object of which the characteristic attribute of the target patrol category component characteristic and the target characteristic attribute accord with the target matching condition as a target patrol data object, and including:

and in the patrol data object group, obtaining patrol data objects of which the characteristic attributes of the target patrol category component characteristics and the characteristic attributes of the target subject popularization label are in accordance with target matching conditions, and the patrol data objects which are in accordance with patrol key data indicated by the prior key monitoring entity information and serve as target patrol data objects.

Another objective of the embodiments of the present application is to provide an environmental monitoring system, the environmental monitoring system includes an operating room environmental monitoring processing system and an operating room environmental monitoring device associated with the operating room environmental monitoring processing system, the operating room environmental monitoring processing system is specifically configured to:

In the design, the environmental monitoring data of each operating room environmental monitoring device in the operating room monitoring task is acquired, the unit contact network of each operating room environmental monitoring device is acquired according to the target environmental monitoring contact network, the key monitoring metric of the contact entity where the environmental chemistry monitoring data, the environmental physics monitoring data, the environmental biology monitoring data and the environmental pollution source monitoring data are located is respectively acquired according to the unit contact network, the importance weight of the operating room environmental monitoring device is determined according to the key monitoring metric and the front monitoring metric corresponding to the operating room environmental monitoring device, and the environmental monitoring tracking strength of the operating room environmental monitoring data of the operating room monitoring task is determined according to the importance weight. Therefore, key monitoring measurement values of the operating room environment monitoring equipment on environmental chemical monitoring data, environmental physical monitoring data, environmental biological monitoring data and environmental pollution source monitoring data are determined through the unit contact network containing the circulating monitoring nodes, and the environmental monitoring tracking strength of the operating room environment monitoring data of the operating room monitoring task is comprehensively determined according to the key monitoring measurement values and the front monitoring measurement values, so that the subsequent front data filtering for environment monitoring tracking is facilitated, the data processing amount is reduced, and the data processing efficiency is improved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments are briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for the inspection path of the general technology in the field, other corresponding drawings can be obtained according to the drawings without creative efforts.

Fig. 1 is a schematic flow chart illustrating an execution process of a method for monitoring and processing an operating room environment according to an embodiment of the present application.

Fig. 2 is a schematic diagram of an architecture scenario of an operating room environment monitoring processing system according to an embodiment of the present application.

Detailed Description

The following description is presented to enable one of ordinary skill in the art to make and use the invention and is provided in the context of a particular application and its requirements. It will be apparent to those of ordinary skill in the art that various changes can be made to the disclosed embodiments and that the general principles defined in this application can be applied to other embodiments and applications without departing from the principles and scope of the application. Thus, the present application is not limited to the described embodiments, but should be accorded the widest scope consistent with the claims.

The terminology used in the description presented herein is for the purpose of describing particular example embodiments only and is not intended to limit the scope of the present application. As used herein, the singular forms "a", "an" and "the" may include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, components, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, components, and/or groups thereof.

These and other features, aspects, and advantages of the present application, as well as the methods of operation and functions of the related elements of structure and the combination of parts and economies of manufacture, will become more apparent upon consideration of the following description of the accompanying drawings, all of which form a part of this specification. It is to be understood, however, that the drawings are designed solely for the purposes of illustration and description and are not intended as a definition of the limits of the application. It should be understood that the drawings are not to scale.

Flow charts are used herein to illustrate operations performed by systems according to some embodiments of the present application. It should be understood that the operations in the flow diagrams may be performed out of order. Rather, various steps may be processed in reverse order or simultaneously. Further, one or more other operations may be added to the flowchart. One or more operations may also be deleted from the flowchart.

The present application will now be described in detail with reference to the drawings, and the specific operations in the method embodiments may also be applied to the apparatus embodiments or the system embodiments.

Fig. 1 is a schematic flow chart of an operating room environment monitoring processing method according to an embodiment of the present application, and the operating room environment monitoring processing method is described in detail below.

Step S10, acquiring environmental monitoring data of each operating room environmental monitoring device in an operating room monitoring task, wherein the environmental monitoring data comprises environmental chemical monitoring data, environmental physical monitoring data, environmental biological monitoring data and environmental pollution source monitoring data of the operating room environmental monitoring devices;

in this embodiment, the environmental monitoring data of all operating room environmental monitoring devices in the operating room monitoring task can be automatically acquired from the relevant cloud database, so as to determine the key monitoring metric value of the operating room monitoring task. Or the relevant service user can manually upload the environmental monitoring data of all the operating room environmental monitoring devices in the operating room monitoring task.

In some possible embodiments, the environmental monitoring data of different operating room environmental monitoring devices is different, and the environmental monitoring data includes environmental chemical monitoring data, environmental physical monitoring data, environmental biological monitoring data and environmental pollution source monitoring data of the operating room environmental monitoring devices.

In some possible embodiments, since the operating room environment monitoring device is used for providing an environment monitoring function, when determining the key monitoring metric value of the operating room monitoring task, the key monitoring metric value is determined from the environmental chemical monitoring data, the environmental physical monitoring data, the environmental biological monitoring data and the environmental pollution source monitoring data of the operating room environment monitoring device by performing comprehensive analysis on various environmental monitoring data of the operating room environment monitoring device.

Step S20, acquiring a unit contact network of each operating room environment monitoring device according to a target environment monitoring contact network, wherein the unit contact network comprises cyclic monitoring nodes respectively associated with contact entities of the environmental chemical monitoring data, the environmental physical monitoring data, the environmental biological monitoring data and the environmental pollution source monitoring data of the operating room environment monitoring devices;

in some possible embodiments, when the unit contact network of each operating room environmental monitoring device is obtained in the target environmental monitoring contact network, corresponding to a single operating room environmental monitoring device, the data relationship having the association is respectively obtained according to the environmental chemical monitoring data, the environmental physical monitoring data, the environmental biological monitoring data and the environmental pollution source monitoring data of the operating room environmental monitoring device, so as to obtain the unit contact network of the operating room environmental monitoring device according to the data relationship.

In some possible embodiments, the unit contact network comprises a plurality of network entities and entity relationships of the network entities. Because the environmental chemistry monitoring data, the environmental physics monitoring data, the environmental biology monitoring data and the environmental pollution source monitoring data all probably have the circulation monitoring node, therefore, in the unit contact network, the environmental chemistry monitoring data, the environmental physics monitoring data, the environmental biology monitoring data and the environmental pollution source monitoring data of operating room environmental monitoring equipment all can directly contact the circulation monitoring node. In some possible embodiments, since the same cycle monitoring node may be subjected to different monitoring schedules, and further a parameter of a key monitoring metric value is introduced, the unit contact network may further include a task monitoring member and/or a network unit, the cycle monitoring node may directly contact the task monitoring member, and the task monitoring member may directly contact the network unit.

Step S30, respectively acquiring key monitoring measurement values of contact entities where the environmental chemical monitoring data, the environmental physical monitoring data, the environmental biological monitoring data and the environmental pollution source monitoring data are located according to the unit contact network;

in some possible embodiments, for the unit contact network of the single operating room environmental monitoring device, the key monitoring metric values of the contact entities where the environmental chemical monitoring data, the environmental physical monitoring data, the environmental biological monitoring data and the environmental pollution source monitoring data are located can be respectively obtained according to the unit contact network, and the key monitoring metric values are used for representing the key monitoring metric value of a corresponding one of the environmental chemical monitoring data, the environmental physical monitoring data, the environmental biological monitoring data and the environmental pollution source monitoring data. The method comprises the steps that cyclic monitoring data of cyclic monitoring nodes can affect the sizes of key monitoring metric values of environmental chemical monitoring data, environmental physical monitoring data, environmental biological monitoring data and environmental pollution source monitoring data, and therefore only key monitoring metric values with the contact strength larger than preset contact strength are calculated when the key monitoring metric values are calculated according to the contact strengths of the environmental chemical monitoring data, the environmental physical monitoring data, the environmental biological monitoring data and the environmental pollution source monitoring data in a unit contact network and the cyclic monitoring nodes.

Step S40, determining importance weight of the operating room environment monitoring equipment according to the key monitoring measurement value and a front monitoring measurement value corresponding to the operating room environment monitoring equipment;

in some possible embodiments, the key monitoring metric values of each operating room environment monitoring device on the environmental chemical monitoring data, the environmental physical monitoring data, the environmental biological monitoring data and the environmental pollution source monitoring data in the operating room monitoring task are obtained through calculation, a front monitoring metric value corresponding to the corresponding operating room environment monitoring device is obtained, the importance weight of the operating room environment monitoring device is determined according to the key monitoring metric value and the corresponding front monitoring metric value, and the key monitoring metric value is higher when the importance weight is higher.

In some possible embodiments, when determining the importance weight of a single operating room environment monitoring device, the sum of the important monitoring metric values of the operating room environment monitoring device on the environmental chemical monitoring data, the environmental physical monitoring data, the environmental biological monitoring data and the environmental pollution source monitoring data is calculated, and the sum of the important monitoring metric values is adjusted through the preposed monitoring metric value corresponding to the operating room environment monitoring device, so as to obtain the importance weight of the operating room environment monitoring device.

In some possible embodiments, a corresponding relationship between a pre-monitoring metric value corresponding to the operating room environment monitoring device and an adjustment coefficient is preset, and when the sum of the key monitoring metric values is adjusted according to the adjustment coefficient, the larger the pre-monitoring metric value is, the larger the adjusted key monitoring metric value sum is.

And step S50, determining the environment monitoring tracking intensity of the operating room environment monitoring data of the operating room monitoring task according to the importance weight.

In some possible embodiments, after the importance weight of each operating room environment monitoring device in the operating room monitoring task is calculated, the environment monitoring tracking strength of the operating room environment monitoring data of the operating room monitoring task is determined according to the importance weight, for example, the sum of the importance weights of each operating room environment monitoring device in the operating room monitoring task may be used as the environment monitoring tracking strength of the operating room environment monitoring data of the operating room monitoring task.

In some possible embodiments, since the environmental monitoring category labels associated with different operating room environmental monitoring devices are different, therefore, different operating room monitoring label category adjusting coefficients can be preset for different operating room environment monitoring devices of the operating room monitoring label category, so as to adjust the importance weight of the corresponding operating room environment monitoring equipment according to the category adjustment coefficient of the operating room monitoring label, and the sum of the adjusted importance weights of the operating room environment monitoring devices is used as the environment monitoring tracking intensity of the operating room environment monitoring data of the operating room monitoring task, for example, the operating room monitoring label category adjusting coefficient can be a label category weighting coefficient, and determining the environment monitoring tracking intensity of the operating room environment monitoring data of the operating room monitoring task according to the label class weight coefficient and the importance weight corresponding to the operating room monitoring label class of each operating room environment monitoring device in the operating room monitoring task.

In some possible embodiments, after the environmental monitoring tracking intensity of the operating room environmental monitoring data of the operating room monitoring task is obtained, an intensity interval corresponding to the environmental monitoring tracking intensity of the operating room environmental monitoring data may be determined, a data monitoring tracking policy corresponding to the intensity interval may be obtained, and a data monitoring tracking instruction set corresponding to the data monitoring tracking policy may be executed.

Therefore, key monitoring measurement values of the operating room environment monitoring equipment on environmental chemical monitoring data, environmental physical monitoring data, environmental biological monitoring data and environmental pollution source monitoring data are determined through the unit contact network containing the circulating monitoring nodes, and the environmental monitoring tracking strength of the operating room environment monitoring data of the operating room monitoring task is comprehensively determined according to the key monitoring measurement values and the front monitoring measurement values, so that the subsequent front data filtering for environment monitoring tracking is facilitated, the data processing amount is reduced, and the data processing efficiency is improved.

In some possible embodiments, step S40 includes:

step S41, acquiring prior average monitoring values corresponding to the cyclic monitoring nodes in the unit contact network;

in some possible embodiments, the previous average monitoring value corresponding to each cycle monitoring node may be obtained according to the previous monitoring information, for example, the cycle monitoring node corresponding to the cycle monitoring node is found in the target environment monitoring contact network, and all the previous monitoring values of the cycle monitoring nodes corresponding to the cycle monitoring node having a contact relationship are obtained as the previous average monitoring value corresponding to the cycle monitoring node.

Step S42, determining the prior monitoring weight of the operating room environment monitoring device according to the pre-monitoring measurement value corresponding to the operating room environment monitoring device and the prior average monitoring value.

In some possible embodiments, corresponding to a single operating room environment monitoring device, the sum of prior average monitoring values corresponding to all cyclic monitoring nodes of the unit contact network of the operating room environment monitoring device is used as a prior average monitoring value of the operating room environment monitoring device, a target prior monitoring value corresponding to the operating room environment monitoring device is calculated according to a corresponding prior monitoring metric value of the operating room environment monitoring device and a weighted value of the prior average monitoring value, and a ratio of the target prior monitoring value to the prior average monitoring value of the operating room environment monitoring device is used as a prior monitoring weight.

And step S43, determining the importance weight of the operating room environment monitoring equipment according to the important monitoring measurement value and the prior monitoring weight.

In some possible embodiments, corresponding to a single operating room environment monitoring device, the sum of key monitoring metric values of a contact entity where the environmental chemistry monitoring data, the environmental physics monitoring data, the environmental biology monitoring data and the environmental pollution source monitoring data of the operating room environment monitoring device are located is used as the key monitoring metric value of the operating room environment monitoring device, and the product of the key monitoring metric value of the operating room environment monitoring device and the previous monitoring weight of the operating room environment monitoring device is used as the importance weight of the operating room environment monitoring device. In some possible embodiments, the importance weight of the operating room environment monitoring device may also be obtained by performing conventional mathematical operations such as addition, subtraction, multiplication, division and the like on the basis of the key monitoring metric value of the operating room environment monitoring device by using the prior monitoring weight.

In some possible embodiments, step S20 includes:

step S21, respectively acquiring the environmental chemical monitoring data, the environmental physical monitoring data, the environmental biological monitoring data and the environmental pollution source monitoring data of the operating room environmental monitoring equipment corresponding to the cyclic cross nodes according to the target environmental monitoring contact network;

in some possible embodiments, the cyclic monitoring nodes having a relationship with the environmental chemical monitoring data, the environmental physical monitoring data, the environmental biological monitoring data, and the environmental pollution source monitoring data of each operating room environmental monitoring device may be acquired through the target environmental monitoring connection network, that is, the cyclic cross nodes corresponding to the environmental chemical monitoring data, the environmental physical monitoring data, the environmental biological monitoring data, and the environmental pollution source monitoring data are acquired respectively.

Step S22, constructing the cycle monitoring node according to the cycle cross node corresponding to the environmental chemistry monitoring data, the environmental physics monitoring data, the environmental biology monitoring data and the environmental pollution source monitoring data of the operating room environmental monitoring equipment;

step S23, respectively associating the contact entities where the environmental chemical monitoring data, the environmental physical monitoring data, the environmental biological monitoring data, and the environmental pollution source monitoring data are located with the corresponding cycle monitoring nodes, and constructing a unit contact network of the operating room environmental monitoring device.

In some possible embodiments, the cyclic monitoring nodes are respectively constructed by the cyclic monitoring nodes in which the environmental chemical monitoring data, the environmental physical monitoring data, the environmental biological monitoring data and the environmental pollution source monitoring data exist, and the contact entities of the environmental chemical monitoring data, the environmental physical monitoring data, the environmental biological monitoring data and the environmental pollution source monitoring data are respectively in contact with the corresponding cycle monitoring nodes to construct a unit contact network of the operating room environmental monitoring equipment, for example, when the environmental chemical monitoring data exists in the cyclic monitoring node 1 and the environmental physical monitoring data exists in the cyclic monitoring node 2, and (3) connecting the contact entity of the environmental chemical monitoring data to the contact entity of the cyclic monitoring node 1, and connecting the contact entity of the environmental physical monitoring data to the contact entity of the cyclic monitoring node 2.

In some possible embodiments, step S30 may be implemented by the following steps.

Step S31, determining the monitoring and scheduling channel sequence of the contact entity where the environmental chemical monitoring data, the environmental physical monitoring data, the environmental biological monitoring data and the environmental pollution source monitoring data are respectively located from the unit contact network;

step S32, obtaining a cycle monitoring field cluster matching the target cycle requirement from the monitoring scheduling channel sequence of the contact entity where the environmental chemistry monitoring data, the environmental physics monitoring data, the environmental biology monitoring data and the environmental pollution source monitoring data are located;

step S33, obtaining key monitoring metric values of the contact entity where the environmental chemical monitoring data, the environmental physical monitoring data, the environmental biological monitoring data and the environmental pollution source monitoring data are located according to the persistence weight of each cycle monitoring field in each cycle monitoring field cluster.

In some possible embodiments, the above method may further include the following steps.

Step S60, acquiring operating room environment monitoring data of the operating room monitoring task matched with target conditions, and extracting target operating room environment monitoring data with traceable indexes from the operating room environment monitoring data;

step S70, acquiring a key transaction time-space domain and a key scheduling time-space domain of the target operating room environment monitoring data based on the cyclic monitoring node data of the target operating room environment monitoring data; the key abnormal movement time-space domain comprises time-space domain information of key abnormal movement, the key scheduling time-space domain comprises time-space domain information of key scheduling movement, and the target operating room environment monitoring data comprises environment monitoring temporary data and environment monitoring non-temporary data;

step S80, according to the key transaction time-space domain and the key scheduling time-space domain of the target operating room environment monitoring data, performing key monitoring entity extraction on the target operating room environment monitoring data to obtain key monitoring entity data of the target operating room environment monitoring data;

step S90, determining key monitoring mining characteristics of the target operating room environment monitoring data according to key monitoring entity data of the target operating room environment monitoring data;

step S100, according to the key monitoring mining characteristics of the target operating room environment monitoring data, key data index element extraction is carried out on the target operating room environment monitoring data, so that key data index element information of the target operating room environment monitoring data is determined.

In some possible embodiments, step S80 may be implemented by the following steps.

Step S81, carrying out abnormal data mutation point sequence mining on each relevant key inspection path in the time-space domain associated data of the key transaction time-space domain and the key scheduling time-space domain of the target operating room environment monitoring data to obtain an abnormal data mutation point sequence of each key inspection path; the time-space domain associated data is associated data corresponding to an operation preposed process comprising an operating room operation event;

step S82, corresponding to each key inspection path, determining a plurality of inspection data objects related to the key inspection path in the flow of the operating room operating event and a related metric value of each inspection data object related to the key inspection path according to the abnormal data mutation point sequence of the key inspection path;

step S83, corresponding to each key patrol inspection path, according to the relevant metric value of the key patrol inspection path to each related patrol inspection data object, determining the key patrol inspection data object of the key patrol inspection path from a plurality of patrol inspection data objects related to the key patrol inspection path;

step S84, according to the patrol output indication information corresponding to the target key patrol route, determining patrol data objects in a patrol data object group, of which the target patrol category component characteristics are matched with the key patrol data objects of the target key patrol route, as target patrol data objects, and binding the target patrol data objects to the target key patrol route;

and step S85, binding the target patrol data objects according to each target key patrol path to obtain key monitoring entity data of the target operating room environment monitoring data.

For example, in some possible embodiments, the abnormal data mutation point sequence of each highlight patrol path includes: a plurality of routing inspection positions of the key routing inspection path and a relevant measurement value of each routing inspection position relevant to the key routing inspection path in an operating event of the operating room;

the method for determining a plurality of inspection data objects related to the key inspection path in the flow of the operating room operating event and the related metric value of each inspection data object related to the key inspection path according to the abnormal data mutation point sequence of the key inspection path comprises the following steps: and corresponding to each key inspection path, identifying inspection data objects in the operating room operating event which can be contacted by a plurality of inspection positions of the key inspection path, and determining the relevant metric value of each inspection position of the key inspection path as the relevant metric value of the inspection data object which can be contacted by the inspection position.

For example, in some possible embodiments, the identifying of the patrol data objects within the operating room event that are reachable by the plurality of patrol locations of the focused patrol path includes: and determining the patrol data objects in the operating room operating event which can be contacted by each patrol position according to the patrol routing data of each patrol data object in the patrol range of the patrol data object and the patrol routing data of each patrol position of the key patrol path.

For example, in some possible embodiments, the determining the focused inspection data object of the focused inspection path from the inspection data objects related to the focused inspection path according to the related metric value of each inspection data object related to the focused inspection path includes: and acquiring the patrol data object with the relevant metric value matched with the relevant metric value of the target from the plurality of patrol data objects relevant to the key patrol path, and taking the patrol data object as the key patrol data object of the key patrol path.

For example, in some possible embodiments, the obtaining, from the plurality of inspection data objects related to the focused inspection path, an inspection data object whose related metric matches a related metric of an object as a focused inspection data object of the focused inspection path includes: acquiring the patrol data object with the maximum correlation metric value from the plurality of patrol data objects related to the key patrol path, and using the patrol data object as the key patrol data object of the key patrol path; and/or obtaining the patrol data object with the correlation metric value larger than the target correlation metric value from a plurality of patrol data objects related to the key patrol path, and using the patrol data object as the key patrol data object of the key patrol path.

For example, in some possible embodiments, the determining, as the target inspection data object, the inspection data object whose target inspection category component characteristics match the important inspection data object of the target important inspection path in the inspection data object group according to the inspection output indication information corresponding to the target important inspection path includes: acquiring the characteristic attribute of the target inspection category component characteristic of the key inspection data object of the target key inspection path as the target characteristic attribute according to the inspection output indication information corresponding to the target key inspection path; and in the routing inspection data object group, acquiring the routing inspection data object of which the characteristic attribute of the target routing inspection class component characteristic and the target characteristic attribute accord with the target matching condition as the target routing inspection data object.

For example, in some possible embodiments, before obtaining, in the tour data object group, a tour data object whose feature attribute of the target tour class component feature and the target feature attribute meet a target matching condition as a target tour data object, the method further includes: acquiring prior key monitoring entity information of the target key inspection path; the prior key point monitoring entity information represents the routing inspection key point data of the target key point routing inspection path to the routing inspection data object;

fig. 2 illustrates a hardware structure of the operating room environment monitoring processing system 100 for implementing the operating room environment monitoring processing method, as provided by the embodiment of the present application, and as shown in fig. 2, the operating room environment monitoring processing system 100 may include a processor 110, a machine-readable storage medium 120, a bus 130 and a communication unit 140.

In some embodiments of the present application, the operating room environment monitoring processing system 100 may be a single server or a group of servers. The server group may be centralized or distributed (e.g., the operating room environment monitoring processing system 100 may be a distributed system). In some embodiments, the operating room environment monitoring processing system 100 may be local or remote. For example, the operating room environment monitoring processing system 100 may access information and/or data stored in the machine-readable storage medium 120 via a network. As another example, the operating room environment monitoring processing system 100 may be directly connected to the machine-readable storage medium 120 to access stored information and/or data. In some embodiments, the operating room environment monitoring processing system 100 may be implemented on a cloud platform. By way of example only, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, an internal cloud, a multi-tiered cloud, and the like, or any combination thereof.

Machine-readable storage medium 120 may store data and/or instructions. In some embodiments, the machine-readable storage medium 120 may store data obtained from an external terminal. In some embodiments, the machine-readable storage medium 120 may store data and/or instructions for execution or use by the operating room environmental monitoring processing system 100 to perform the exemplary methods described in this application. In some embodiments, the machine-readable storage medium 120 may include mass storage, removable storage, volatile read-write memory, read-only memory (ROM), and the like, or any combination thereof. Exemplary mass storage devices may include magnetic disks, optical disks, solid state disks, and the like. Exemplary removable memory may include flash drives, floppy disks, optical disks, memory cards, compact disks, magnetic tape, and the like. Exemplary volatile read and write memories can include Random Access Memory (RAM). Exemplary RAM may include active random access memory (DRAM), double data rate synchronous active random access memory (DDR SDRAM), passive random access memory (SRAM), thyristor random access memory (T-RAM), and zero capacitance random access memory (Z-RAM), among others. Exemplary read-only memories may include mask read-only memory (MROM), programmable read-only memory (PROM), erasable programmable read-only memory (perrom), electrically erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM), digital versatile disc read-only memory, and the like. In some embodiments, the machine-readable storage medium 120 may be implemented on a cloud platform. By way of example only, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, an internal cloud, a multi-tiered cloud, and the like, or any combination thereof.

In a specific implementation process, at least one processor 110 executes computer-executable instructions stored in the machine-readable storage medium 120, so that the processor 110 may execute the operating room environment monitoring processing method according to the above method embodiment, the processor 110, the machine-readable storage medium 120 and the communication unit 140 are connected through the bus 130, and the processor 110 may be configured to control the transceiving action of the communication unit 140.

For the specific implementation process of the processor 110, reference may be made to the above-mentioned various method embodiments executed by the operating room environment monitoring processing system 100, which implement the principle and technical effect similarly, and this embodiment is not described herein again.

In addition, an embodiment of the present application further provides a readable storage medium, where the readable storage medium has preset therein computer-executable instructions, and when a processor executes the computer-executable instructions, the operating room environment monitoring processing method is implemented as above.

It should be understood that the foregoing description is for purposes of illustration only and is not intended to limit the scope of the present disclosure. Many modifications and variations will be apparent to those of ordinary skill in the art in light of the description of the present application. However, such modifications and variations do not depart from the scope of the present application.

While the basic concepts have been described above, it will be apparent to those of ordinary skill in the art in view of this disclosure that this disclosure is intended to be exemplary only, and is not intended to limit the present application. Various modifications, improvements and adaptations to the present application may occur to those skilled in the art, although not explicitly described herein. Such modifications, improvements and adaptations are proposed in the present application and thus fall within the spirit and scope of the exemplary embodiments of the present application.

Also, this application uses specific language to describe embodiments of the application. For example, "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic described in connection with at least one embodiment of the application. Therefore, it is emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, some features, structures, or characteristics of one or more embodiments of the present application may be combined as appropriate.

Moreover, those of ordinary skill in the art will understand that aspects of the present application may be illustrated and described in terms of several patentable species or situations, including any new and useful combination of processes, machines, articles, or materials, or any new and useful modification thereof. Accordingly, various aspects of the present application may be embodied entirely in hardware, entirely in software (including firmware, resident software, micro-code, etc.) or in a combination of hardware and software. The above hardware or software may be referred to as a "unit", "module", or "system". Furthermore, aspects disclosed herein may take the form of a computer program product embodied in one or more computer-readable media, with computer-readable program code embodied therein.

A computer readable signal medium may comprise a propagated data signal with computer program code embodied therein, for example, on a baseband or as part of a carrier wave. Such a propagated signal may take any of a variety of forms, including electro-magnetic, optical, and the like, or any suitable combination. A computer readable signal medium may be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code on a computer readable signal medium may be propagated over any suitable medium, including radio, electrical cable, fiber optic cable, RF, or the like, or any combination thereof.

Computer program code required for operation of various portions of the present application may be written in any one or more programming languages, including a persistent activity oriented programming language such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C + +, C #, VB.NET, Python, and the like, a conventional programming language such as C, Visual Basic, Fortran 2003, Perl, COBOL 2002, PHP, ABAP, an active programming language such as Python, Ruby, and Groovy, or other programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any network format, such as a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet), or in a cloud computing environment, or as a service, such as a software as a service (SaaS).

Additionally, the order in which elements and sequences of the processes described herein are processed, the use of alphanumeric characters, or the use of other designations, is not intended to limit the order of the processes and methods described herein, unless explicitly claimed. While various presently contemplated embodiments of the invention have been discussed in the foregoing disclosure by way of example, it is to be understood that such detail is solely for that purpose and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements that are within the spirit and scope of the embodiments herein. For example, although the system components described above may be implemented by hardware devices, they may also be implemented by software-only solutions, such as installing the described system on an existing server or mobile device.

Similarly, it should be noted that in the preceding description of embodiments of the present application, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the embodiments. Similarly, it should be noted that in the preceding description of embodiments of the present application, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the embodiments.

Claims

1. An operating room environment monitoring processing method is applied to an operating room environment monitoring processing system, the operating room environment monitoring processing system is in communication connection with operating room environment monitoring equipment, and the method is characterized by comprising the following steps:

2. The operating room environment monitoring processing method according to claim 1, wherein the step of determining the importance weight of the operating room environment monitoring device according to the emphasis monitoring metric value and the front monitoring metric value corresponding to the operating room environment monitoring device comprises:

acquiring prior average monitoring values corresponding to the cyclic monitoring nodes in the unit contact network;

determining a previous monitoring weight of the operating room environment monitoring equipment according to a previous monitoring metric value corresponding to the operating room environment monitoring equipment and the previous average monitoring value;

and determining the importance weight of the operating room environment monitoring equipment according to the key monitoring measurement value and the prior monitoring weight.

3. The operating room environment monitoring processing method according to claim 1, wherein the step of determining the environment monitoring tracking intensity of the operating room environment monitoring data of the operating room monitoring task according to the importance weight comprises:

acquiring a label category weight coefficient corresponding to the operating room monitoring label category of each operating room environment monitoring device in the operating room monitoring task;

and determining the environmental monitoring tracking intensity of the operating room environmental monitoring data of the operating room monitoring task according to the label category weight coefficient and the importance weight.

4. The operating room environment monitoring processing method according to claim 1, wherein after the step of determining the environment monitoring tracking strength of the operating room environment monitoring data of the operating room monitoring task according to the importance weight, the method further comprises:

determining a data monitoring and tracking strategy corresponding to the environmental monitoring and tracking intensity of the operating room environmental monitoring data;

and executing a data monitoring and tracking instruction set corresponding to the data monitoring and tracking strategy.

5. The operating room environment monitoring processing method according to claim 1, wherein the step of obtaining the unit contact network of each operating room environment monitoring device according to the target environment monitoring contact network comprises:

respectively acquiring the environmental chemical monitoring data, the environmental physical monitoring data, the environmental biological monitoring data and the environmental pollution source monitoring data of the operating room environmental monitoring equipment according to the target environmental monitoring contact network;

constructing a cycle monitoring node according to cycle cross nodes corresponding to the environmental chemical monitoring data, the environmental physical monitoring data, the environmental biological monitoring data and the environmental pollution source monitoring data of the operating room environmental monitoring equipment;

and respectively connecting the contact entities of the environmental chemical monitoring data, the environmental physical monitoring data, the environmental biological monitoring data and the environmental pollution source monitoring data with the corresponding cycle monitoring nodes to construct a unit contact network of the operating room environmental monitoring equipment.

6. The operating room environment monitoring processing method according to claim 5, wherein the step of establishing a unit contact network of the operating room environment monitoring device by respectively contacting the contact entities of the environmental chemistry monitoring data, the environmental physics monitoring data, the environmental biology monitoring data and the environmental pollution source monitoring data with the corresponding cycle monitoring nodes comprises:

respectively connecting the contact entities where the environmental chemical monitoring data, the environmental physical monitoring data, the environmental biological monitoring data and the environmental pollution source monitoring data are located with the corresponding cycle monitoring nodes;

and connecting the cycle monitoring node with a corresponding task monitoring member, connecting the task monitoring member with a corresponding network unit, and constructing a unit contact network of the operating room environment monitoring equipment.

7. The operating room environment monitoring processing method according to any one of claims 1 to 6, wherein the step of obtaining key monitoring metric values of contact entities where the environmental chemistry monitoring data, the environmental physics monitoring data, the environmental biology monitoring data and the environmental pollution source monitoring data are respectively located according to the unit contact network comprises:

respectively determining monitoring scheduling channel sequences of contact entities where the environmental chemical monitoring data, the environmental physical monitoring data, the environmental biological monitoring data and the environmental pollution source monitoring data are located from the unit contact network;

acquiring a cycle monitoring field cluster matched with the target cycle requirement from a monitoring scheduling channel sequence of a contact entity where the environmental chemical monitoring data, the environmental physical monitoring data, the environmental biological monitoring data and the environmental pollution source monitoring data are located;

and according to the persistence weight of each cycle monitoring field in each cycle monitoring field cluster, obtaining key monitoring measurement values of the contact entity where the environmental chemical monitoring data, the environmental physical monitoring data, the environmental biological monitoring data and the environmental pollution source monitoring data are located.

8. The operating room environmental monitoring processing method according to any one of claims 1 to 6, wherein after the step of determining the environmental monitoring tracking strength of the operating room environmental monitoring data of the operating room monitoring task according to the importance weight, the method further comprises:

acquiring a key transaction time-space domain and a key scheduling time-space domain of the target operating room environment monitoring data based on the cyclic monitoring node data of the target operating room environment monitoring data; the key abnormal movement time-space domain comprises time-space domain information of key abnormal movement, the key scheduling time-space domain comprises time-space domain information of key scheduling movement, and the target operating room environment monitoring data comprises environment monitoring temporary data and environment monitoring non-temporary data;

9. The operating room environment monitoring processing method according to claim 8, wherein the performing of the key monitoring entity extraction on the target operating room environment monitoring data according to the key transaction time-space domain and the key scheduling time-space domain of the target operating room environment monitoring data to obtain the key monitoring entity data of the target operating room environment monitoring data comprises:

10. The utility model provides an environmental monitoring system, its characterized in that, environmental monitoring system include operating room environmental monitoring processing system and with operating room environmental monitoring equipment that operating room environmental monitoring processing system communication is correlated with, operating room environmental monitoring processing system specifically is used for: