CN113491510A - Dispatcher training result evaluation method and system based on intelligent wearable equipment - Google Patents
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Abstract
The application relates to a dispatcher training result evaluation method and system based on intelligent wearable equipment, relating to the technical field of intelligent training, wherein the method comprises the following steps: detecting real-time physiological parameters of a dispatcher according to a preset period by using intelligent wearable equipment; comparing the real-time physiological parameters with a preset normal range of the physiological parameters, and recording the real-time physiological parameters beyond the normal range of the physiological parameters; acquiring a physiological fluctuation working condition of a dispatcher according to the real-time physiological parameters exceeding the normal range of the physiological parameters and the corresponding work subjects, wherein the physiological fluctuation working condition of the dispatcher corresponds to one work subject; and judging that the work subject training corresponding to the physiological fluctuation working condition of the dispatcher is unqualified. According to the method and the system, physiological parameters of the dispatcher during actual work are monitored through the intelligent wearable device, and the actual working condition of the dispatcher is visually displayed, so that the working subject training condition corresponding to the dispatcher is evaluated, and an adjustment basis is provided for later-stage working subject training.
Description
Technical Field
The application relates to the technical field of intelligent training, in particular to a dispatcher training result evaluation method and system based on intelligent wearable equipment.
Background
At present, along with the discovery of network technology, an online education platform gradually develops and matures, the training of a plurality of technical posts also utilizes online education technology, and the convenience of online education is utilized to obtain better training effect.
Training aims to enable students to show more professional skill levels in actual work, but because online education is interaction between people and equipment, specific training results cannot be intuitively reflected generally.
Therefore, how to show the training results through an intuitive technical means is a problem which needs to be solved urgently at present.
Disclosure of Invention
The application provides a dispatcher training result evaluation method and system based on intelligent wearable equipment, physiological parameters of a dispatcher during actual work are monitored through the intelligent wearable equipment, and the actual working condition of the dispatcher is visually displayed, so that the working subject training condition corresponding to the dispatcher is evaluated, and an adjustment basis is provided for later-stage working subject training.
In a first aspect, the application provides a dispatcher training result evaluation method based on intelligent wearable equipment, and the method comprises the following steps:
detecting real-time physiological parameters of a dispatcher according to a preset period by using intelligent wearable equipment;
comparing the real-time physiological parameter with a preset physiological parameter normal range, and recording the real-time physiological parameter beyond the physiological parameter normal range;
acquiring a physiological fluctuation working condition of a dispatcher according to the real-time physiological parameters exceeding the normal range of the physiological parameters and corresponding working subjects, wherein the physiological fluctuation working condition of the dispatcher corresponds to one working subject;
and judging that the work subject training corresponding to the physiological fluctuation working condition of the dispatcher is unqualified.
Specifically, the real-time physiological parameters are marked with corresponding time information;
before acquiring the physiological fluctuation working condition of the dispatcher according to the real-time physiological parameters exceeding the normal range of the physiological parameters and the corresponding working subjects, the method comprises the following steps:
comparing the time information corresponding to the real-time physiological parameters exceeding the normal range of the physiological parameters with a preset scheduling list of the scheduling staff to obtain corresponding work subjects; wherein the content of the first and second substances,
and the dispatcher staff scheduling table is used for recording the work time arrangement of different work subjects.
Specifically, the real-time physiological parameters are marked with corresponding dispatcher positioning information;
before acquiring the physiological fluctuation working condition of the dispatcher according to the real-time physiological parameters exceeding the normal range of the physiological parameters and the corresponding working subjects, the method comprises the following steps:
comparing the dispatcher positioning information corresponding to the real-time physiological parameters exceeding the normal range of the physiological parameters with a preset dispatcher working area to obtain corresponding working subjects; wherein the content of the first and second substances,
the dispatcher working area corresponds to one of the work subjects.
Specifically, the step of judging that the work subject training corresponding to the physiological fluctuation working condition of the dispatcher is unqualified comprises the following steps:
acquiring a working processing result of the physiological fluctuation working condition of the dispatcher;
when the work processing result is qualified, judging that the psychological quality in the work subject training corresponding to the physiological fluctuation working condition of the dispatcher is unqualified;
and when the work processing result is unqualified, judging that the knowledge and skill in the work subject training corresponding to the physiological fluctuation working condition of the dispatcher is unqualified.
Specifically, when the real-time physiological parameters include at least 2 seed parameters, the real-time physiological parameters are compared with a preset physiological parameter normal range, and the real-time physiological parameters beyond the physiological parameter normal range are recorded, including the following steps:
comparing the sub-parameters in the real-time physiological parameters with the normal ranges of the physiological parameters corresponding to the sub-parameters;
and when the numerical value of more than half of the sub-parameters in the real-time physiological parameters exceeds the normal range of the physiological parameters corresponding to the sub-parameters, judging that the real-time physiological parameters exceed the normal range of the physiological parameters, and recording the real-time physiological parameters.
Specifically, the real-time physiological parameters include heartbeat, heartbeat variation speed, blood pressure variation speed, body temperature or body temperature variation speed.
In a second aspect, the application provides a dispatcher training result evaluation system based on intelligent wearable equipment, the system includes:
the intelligent wearable device is used for detecting real-time physiological parameters of a dispatcher according to a preset period;
the intelligent evaluation equipment is used for comparing the real-time physiological parameter with a preset physiological parameter normal range and recording the real-time physiological parameter beyond the physiological parameter normal range;
the intelligent evaluation equipment is further used for obtaining a physiological fluctuation working condition of a dispatcher according to the real-time physiological parameter exceeding the normal range of the physiological parameter and the corresponding work subject, wherein the physiological fluctuation working condition of the dispatcher corresponds to one work subject;
and the intelligent evaluation equipment is also used for judging that the work subject training corresponding to the physiological fluctuation working condition of the dispatcher is unqualified.
Further, the real-time physiological parameters are marked with corresponding time information;
the intelligent evaluation equipment is also used for comparing the time information corresponding to the real-time physiological parameters exceeding the normal range of the physiological parameters with a preset scheduling staff schedule to obtain corresponding work subjects; wherein the content of the first and second substances,
and the dispatcher staff scheduling table is used for recording the work time arrangement of different work subjects.
Further, the real-time physiological parameters are marked with corresponding dispatcher positioning information;
the intelligent evaluation equipment is also used for comparing the dispatcher positioning information corresponding to the real-time physiological parameter exceeding the normal range of the physiological parameter with a preset dispatcher working area to obtain a corresponding working subject; wherein the content of the first and second substances,
the dispatcher working area corresponds to one of the work subjects.
Furthermore, the intelligent evaluation equipment is further used for obtaining a work processing result of the physiological fluctuation working condition of the dispatcher, judging that the psychological quality in the work subject training corresponding to the physiological fluctuation working condition of the dispatcher is unqualified when the work processing result is qualified, and judging that the knowledge and skill in the work subject training corresponding to the physiological fluctuation working condition of the dispatcher is unqualified when the work processing result is unqualified.
The beneficial effect that technical scheme that this application provided brought includes:
according to the method and the system, physiological parameters of the dispatcher during actual work are monitored through the intelligent wearable device, and the actual working condition of the dispatcher is visually displayed, so that the working subject training condition corresponding to the dispatcher is evaluated, and an adjustment basis is provided for later-stage working subject training.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart illustrating steps of a dispatcher training result evaluation method based on intelligent wearable equipment provided in an embodiment of the present application;
fig. 2 is a block diagram of a dispatcher training result evaluation system based on an intelligent wearable device provided in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
The embodiment of the application provides a dispatcher training result evaluation method and system based on intelligent wearable equipment, physiological parameters of a dispatcher during actual work are monitored through the intelligent wearable equipment, and the actual working condition of the dispatcher is visually displayed, so that the working subject training condition corresponding to the dispatcher is evaluated, and an adjustment basis is provided for later-stage working subject training.
In order to achieve the technical effects, the general idea of the application is as follows:
a dispatcher training result evaluation method based on intelligent wearable equipment comprises the following steps:
s1, detecting real-time physiological parameters of the dispatcher according to a preset period by using the intelligent wearable equipment;
s2, comparing the real-time physiological parameters with a preset physiological parameter normal range, and recording the real-time physiological parameters exceeding the physiological parameter normal range;
s3, acquiring a physiological fluctuation working condition of a dispatcher according to the real-time physiological parameters exceeding the normal range of the physiological parameters and the corresponding work subjects, wherein the physiological fluctuation working condition of the dispatcher corresponds to one work subject;
and S4, judging that the work subject training corresponding to the physiological fluctuation working condition of the dispatcher is unqualified.
Embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
In a first aspect, referring to fig. 1, an embodiment of the present application provides a dispatcher training result evaluation method based on an intelligent wearable device, including the following steps:
s1, detecting real-time physiological parameters of the dispatcher according to a preset period by using the intelligent wearable equipment;
s2, comparing the real-time physiological parameters with a preset physiological parameter normal range, and recording the real-time physiological parameters exceeding the physiological parameter normal range;
s3, acquiring a physiological fluctuation working condition of a dispatcher according to the real-time physiological parameters exceeding the normal range of the physiological parameters and the corresponding work subjects, wherein the physiological fluctuation working condition of the dispatcher corresponds to one work subject;
and S4, judging that the work subject training corresponding to the physiological fluctuation working condition of the dispatcher is unqualified.
According to the embodiment of the application, the physiological parameters of the dispatcher during actual work are monitored through the intelligent wearable device, and the actual working condition of the dispatcher is visually displayed, so that the working subject training condition corresponding to the dispatcher is evaluated, and an adjusting basis is provided for later-stage working subject training.
It should be noted that the real-time physiological parameters include heartbeat, heartbeat variation speed, blood pressure variation speed, body temperature or body temperature variation speed;
the heartbeat corresponds to a normal range of the heartbeat;
the heartbeat variation speed corresponds to a normal range of the heartbeat variation speed;
the blood pressure corresponds to the normal range of blood pressure;
the blood pressure change speed corresponds to a normal range of the blood pressure change speed;
the body temperature corresponds to the normal body temperature range;
the body temperature change speed corresponds to the normal range of the body temperature change speed.
In the embodiment of the present application, when implemented specifically, the method includes the following steps:
firstly, after a dispatcher completes corresponding work subject training, wearing preset intelligent wearing equipment, detecting real-time physiological parameters of the dispatcher by the intelligent wearing equipment according to a preset period, wherein the preset period is 5 minutes or 10 minutes or other time interval periods, and recording work subjects corresponding to the dispatcher corresponding to the real-time physiological parameters at that time;
secondly, after acquiring the acquired real-time physiological parameters, comparing the acquired real-time physiological parameters with the normal ranges of the physiological parameters corresponding to the real-time physiological parameters, and recording the real-time physiological parameters beyond the normal ranges of the physiological parameters;
thirdly, after the real-time physiological parameters exceeding the normal range of the physiological parameters are obtained, the working subjects corresponding to the real-time physiological parameters exceeding the normal range of the physiological parameters and the dispatcher can be obtained due to the fact that the working subjects corresponding to the dispatcher corresponding to the real-time physiological parameters exceeding the normal range of the physiological parameters are recorded, and the physiological fluctuation working condition of the dispatcher is obtained according to the real-time physiological parameters exceeding the normal range of the physiological parameters and the corresponding working subjects;
and fourthly, judging that the work subject training corresponding to the physiological fluctuation working condition of the dispatcher is unqualified.
Specifically, the real-time physiological parameters are marked with corresponding time information;
before acquiring the physiological fluctuation working condition of a dispatcher according to the real-time physiological parameters beyond the normal range of the physiological parameters and the corresponding working subjects, the method comprises the following steps:
comparing the time information corresponding to the real-time physiological parameters exceeding the normal range of the physiological parameters with a preset scheduling list of the scheduling staff to obtain corresponding work subjects; wherein the content of the first and second substances,
the dispatcher staff scheduling list is used for recording the work time arrangement of different work subjects.
Specifically, the real-time physiological parameters are marked with corresponding dispatcher positioning information;
before acquiring the physiological fluctuation working condition of a dispatcher according to the real-time physiological parameters beyond the normal range of the physiological parameters and the corresponding working subjects, the method comprises the following steps:
comparing the dispatcher positioning information corresponding to the real-time physiological parameters exceeding the normal range of the physiological parameters with a preset dispatcher working area to obtain corresponding working subjects; wherein the content of the first and second substances,
the dispatcher working area corresponds to a kind of work subject.
Specifically, the method for judging unqualified work subject training corresponding to the physiological fluctuation working condition of the dispatcher comprises the following steps of:
acquiring a work processing result of the physiological fluctuation working condition of the dispatcher;
when the work processing result is qualified, judging that the psychological quality in the work subject training corresponding to the physiological fluctuation working condition of the dispatcher is unqualified;
and when the work processing result is unqualified, judging that the knowledge and skill in the work subject training corresponding to the physiological fluctuation working condition of the dispatcher are unqualified.
It should be noted that when the psychological diathesis is judged to be unqualified, the corresponding dispatcher is assessed to have poor psychological diathesis, and psychological counseling needs to be performed;
when the knowledge skill is judged to be unqualified, special tutoring needs to be conducted on the corresponding dispatcher.
Specifically, when the real-time physiological parameters include at least 2 seed parameters, the real-time physiological parameters are compared with a preset normal range of the physiological parameters, and the real-time physiological parameters beyond the normal range of the physiological parameters are recorded, which includes the following steps:
comparing the neutron parameters of the real-time physiological parameters with the normal ranges of the physiological parameters corresponding to the neutron parameters;
and when the numerical value of more than half of the sub-parameters in the real-time physiological parameters exceeds the normal range of the corresponding physiological parameters, judging that the real-time physiological parameters exceed the normal range of the physiological parameters, and recording the real-time physiological parameters.
In a second aspect, referring to fig. 2, an embodiment of the present application provides an intelligent wearable device-based dispatcher training achievement evaluation system based on the intelligent wearable device-based dispatcher training achievement evaluation method in the first aspect, where the system includes:
the intelligent wearable device is used for detecting real-time physiological parameters of a dispatcher according to a preset period;
the intelligent evaluation equipment is used for comparing the real-time physiological parameters with a preset physiological parameter normal range and recording the real-time physiological parameters beyond the physiological parameter normal range;
the intelligent evaluation equipment is also used for obtaining the physiological fluctuation working condition of the dispatcher according to the real-time physiological parameters exceeding the normal range of the physiological parameters and the corresponding working subjects, and the physiological fluctuation working condition of the dispatcher corresponds to one working subject;
and the intelligent evaluation equipment is also used for judging that the work subject training corresponding to the physiological fluctuation working condition of the dispatcher is unqualified.
According to the embodiment of the application, the physiological parameters of the dispatcher during actual work are monitored through the intelligent wearable device, and the actual working condition of the dispatcher is visually displayed, so that the working subject training condition corresponding to the dispatcher is evaluated, and an adjusting basis is provided for later-stage working subject training.
It should be noted that the real-time physiological parameters include heartbeat, heartbeat variation speed, blood pressure variation speed, body temperature or body temperature variation speed;
the heartbeat corresponds to a normal range of the heartbeat;
the heartbeat variation speed corresponds to a normal range of the heartbeat variation speed;
the blood pressure corresponds to the normal range of blood pressure;
the blood pressure change speed corresponds to a normal range of the blood pressure change speed;
the body temperature corresponds to the normal body temperature range;
the body temperature change speed corresponds to the normal range of the body temperature change speed.
Further, the real-time physiological parameters are marked with corresponding time information;
the intelligent evaluation equipment is also used for comparing the time information corresponding to the real-time physiological parameters exceeding the normal range of the physiological parameters with a preset scheduling list of the scheduling staff to obtain corresponding work subjects; wherein the content of the first and second substances,
the dispatcher staff scheduling list is used for recording the work time arrangement of different work subjects.
Furthermore, the real-time physiological parameters are marked with corresponding dispatcher positioning information;
the intelligent evaluation equipment is also used for comparing the dispatcher positioning information corresponding to the real-time physiological parameters exceeding the normal range of the physiological parameters with a preset dispatcher working area to obtain corresponding working subjects; wherein the content of the first and second substances,
the dispatcher working area corresponds to a kind of work subject.
Furthermore, the intelligent evaluation equipment is also used for obtaining a work processing result of the physiological fluctuation working condition of the dispatcher, judging that the psychological quality in the work subject training corresponding to the physiological fluctuation working condition of the dispatcher is unqualified when the work processing result is qualified, and judging that the knowledge and skill in the work subject training corresponding to the physiological fluctuation working condition of the dispatcher is unqualified when the work processing result is unqualified.
It is noted that, in the present application, relational terms such as "first" and "second", and the like, are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The foregoing are merely exemplary embodiments of the present application and are presented to enable those skilled in the art to understand and practice the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A dispatcher training result evaluation method based on intelligent wearable equipment is characterized by comprising the following steps:
detecting real-time physiological parameters of a dispatcher according to a preset period by using intelligent wearable equipment;
comparing the real-time physiological parameter with a preset physiological parameter normal range, and recording the real-time physiological parameter beyond the physiological parameter normal range;
acquiring a physiological fluctuation working condition of a dispatcher according to the real-time physiological parameters exceeding the normal range of the physiological parameters and corresponding working subjects, wherein the physiological fluctuation working condition of the dispatcher corresponds to one working subject;
and judging that the work subject training corresponding to the physiological fluctuation working condition of the dispatcher is unqualified.
2. The intelligent wearable device based dispatcher training outcome assessment method as recited in claim 1, wherein said real-time physiological parameters are tagged with corresponding time information;
before acquiring the physiological fluctuation working condition of the dispatcher according to the real-time physiological parameters exceeding the normal range of the physiological parameters and the corresponding working subjects, the method comprises the following steps:
comparing the time information corresponding to the real-time physiological parameters exceeding the normal range of the physiological parameters with a preset scheduling list of the scheduling staff to obtain corresponding work subjects; wherein the content of the first and second substances,
and the dispatcher staff scheduling table is used for recording the work time arrangement of different work subjects.
3. The intelligent wearable device based dispatcher training outcome assessment method as recited in claim 1, wherein said real-time physiological parameters are tagged with corresponding dispatcher positioning information;
before acquiring the physiological fluctuation working condition of the dispatcher according to the real-time physiological parameters exceeding the normal range of the physiological parameters and the corresponding working subjects, the method comprises the following steps:
comparing the dispatcher positioning information corresponding to the real-time physiological parameters exceeding the normal range of the physiological parameters with a preset dispatcher working area to obtain corresponding working subjects; wherein the content of the first and second substances,
the dispatcher working area corresponds to one of the work subjects.
4. The intelligent wearable device based dispatcher training result evaluation method according to claim 1, wherein the step of judging that the work subject training corresponding to the physiological fluctuation condition of the dispatcher is unqualified comprises the following steps:
acquiring a working processing result of the physiological fluctuation working condition of the dispatcher;
when the work processing result is qualified, judging that the psychological quality in the work subject training corresponding to the physiological fluctuation working condition of the dispatcher is unqualified;
and when the work processing result is unqualified, judging that the knowledge and skill in the work subject training corresponding to the physiological fluctuation working condition of the dispatcher is unqualified.
5. The intelligent wearable device based dispatcher training result evaluation method as claimed in claim 1, wherein when the real-time physiological parameter comprises at least 2 seed parameters, the real-time physiological parameter is compared with a preset physiological parameter normal range, and the real-time physiological parameter beyond the physiological parameter normal range is recorded, comprising the following steps:
comparing the sub-parameters in the real-time physiological parameters with the normal ranges of the physiological parameters corresponding to the sub-parameters;
and when the numerical value of more than half of the sub-parameters in the real-time physiological parameters exceeds the normal range of the physiological parameters corresponding to the sub-parameters, judging that the real-time physiological parameters exceed the normal range of the physiological parameters, and recording the real-time physiological parameters.
6. The intelligent wearable device based dispatcher training achievement assessment method as claimed in claim 1, wherein:
the real-time physiological parameters comprise heartbeat, heartbeat change speed, blood pressure change speed, body temperature or body temperature change speed.
7. A dispatcher training result evaluation system based on intelligent wearable equipment is characterized in that the system comprises:
the intelligent wearable device is used for detecting real-time physiological parameters of a dispatcher according to a preset period;
the intelligent evaluation equipment is used for comparing the real-time physiological parameter with a preset physiological parameter normal range and recording the real-time physiological parameter beyond the physiological parameter normal range;
the intelligent evaluation equipment is further used for obtaining a physiological fluctuation working condition of a dispatcher according to the real-time physiological parameter exceeding the normal range of the physiological parameter and the corresponding work subject, wherein the physiological fluctuation working condition of the dispatcher corresponds to one work subject;
and the intelligent evaluation equipment is also used for judging that the work subject training corresponding to the physiological fluctuation working condition of the dispatcher is unqualified.
8. The intelligent wearable device-based dispatcher training outcome assessment system of claim 7, wherein the real-time physiological parameters are tagged with corresponding time information;
the intelligent evaluation equipment is also used for comparing the time information corresponding to the real-time physiological parameters exceeding the normal range of the physiological parameters with a preset scheduling staff schedule to obtain corresponding work subjects; wherein the content of the first and second substances,
and the dispatcher staff scheduling table is used for recording the work time arrangement of different work subjects.
9. The intelligent wearable device-based dispatcher training outcome assessment system of claim 7, wherein the real-time physiological parameters are tagged with corresponding dispatcher positioning information;
the intelligent evaluation equipment is also used for comparing the dispatcher positioning information corresponding to the real-time physiological parameter exceeding the normal range of the physiological parameter with a preset dispatcher working area to obtain a corresponding working subject; wherein the content of the first and second substances,
the dispatcher working area corresponds to one of the work subjects.
10. The intelligent wearable device-based dispatcher training achievement evaluation system as recited in claim 7, wherein:
the intelligent evaluation equipment is further used for obtaining a work processing result of the physiological fluctuation working condition of the dispatcher, judging that the psychological quality in the work subject training corresponding to the physiological fluctuation working condition of the dispatcher is unqualified when the work processing result is qualified, and judging that the knowledge and skill in the work subject training corresponding to the physiological fluctuation working condition of the dispatcher is unqualified when the work processing result is unqualified.
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