CN112002054A

CN112002054A - Method and device for determining waiting time, storage medium and electronic equipment

Info

Publication number: CN112002054A
Application number: CN202010739429.8A
Authority: CN
Inventors: 蒿李阳; 舒庆湘; 宋庆贺; 杨俊涛; 韩茹峰; 朱亮
Original assignee: Neusoft Medical Systems Co Ltd
Current assignee: Neusoft Medical Systems Co Ltd
Priority date: 2020-07-28
Filing date: 2020-07-28
Publication date: 2020-11-27
Anticipated expiration: 2040-07-28
Also published as: CN112002054B

Abstract

The disclosure relates to a method and a device for determining waiting time, a storage medium and an electronic device, relating to the technical field of electronic information processing, wherein the method comprises the following steps: acquiring a queue to be inspected corresponding to inspection equipment, wherein the queue to be inspected comprises at least one inspection task arranged according to a specified sequence, and each inspection task comprises: the method comprises the steps of checking a protocol and corresponding user attributes of a user to be checked, determining the checking time corresponding to each checking task according to a preset checking time estimation model and the checking protocol and the user attributes included in each checking task, and determining the waiting time corresponding to each checking task according to the checking time corresponding to each checking task and a designated sequence. The method and the device for checking the inspection task determine the corresponding checking time of each inspection task by combining the checking protocol and the corresponding user attribute included in each inspection task, so that the waiting time of each inspection task in the queue to be checked is obtained, and the checking efficiency of the checking equipment can be improved.

Description

Method and device for determining waiting time, storage medium and electronic equipment

Technical Field

The present disclosure relates to the field of electronic information processing technologies, and in particular, to a method and an apparatus for determining a waiting time, a storage medium, and an electronic device.

Background

With the continuous development of electronic information technology, doctors are assisted in pathological diagnosis by using scanned images generated by CT (Computed Tomography), PET (Positron Emission Tomography), MRI (Magnetic Resonance Imaging), and other examination devices, and the scanned images are widely used. Due to the large use requirement, the inspection equipment is often in a continuous operation state, and the user to be inspected needs to wait in a queue. In general, the number of remaining users in front of the user queue can only be notified, and the user cannot confirm the waiting time, so that the time is wasted, and the inspection efficiency of the inspection equipment is reduced.

Disclosure of Invention

The invention aims to provide a method, a device, a storage medium and an electronic device for determining waiting time, which are used for solving the problem of low checking efficiency caused by ambiguous waiting time in the prior art.

In order to achieve the above object, according to a first aspect of embodiments of the present disclosure, there is provided a method for determining a waiting time, the method including:

acquiring a queue to be inspected corresponding to inspection equipment, wherein the queue to be inspected comprises at least one inspection task arranged according to a specified sequence, and each inspection task comprises: checking a protocol and corresponding user attributes of a user to be checked;

determining the inspection time corresponding to each inspection task according to a preset inspection time estimation model, and an inspection protocol and user attributes included in each inspection task;

and determining the waiting time corresponding to each inspection task according to the inspection time corresponding to each inspection task and the specified sequence.

Optionally, the determining, according to a preset inspection time estimation model and an inspection protocol and a user attribute included in each inspection task, an inspection time corresponding to each inspection task includes:

determining whether a target inspection record matching an inspection protocol and a user attribute included in the inspection task exists in at least one inspection record included in the inspection time estimation model, wherein each inspection record includes: an inspection protocol, user attributes and corresponding estimated inspection time;

if the target check record exists, taking the estimated check time included in the target check record as the check time corresponding to the check task;

if the target check record does not exist, determining the initial check time corresponding to the check protocol included in the check task according to the check protocol included in the check task and the corresponding relation between the preset check protocol and the preset time, and taking the initial check time corresponding to the check protocol included in the check task as the check time corresponding to the check task.

Optionally, the method further comprises:

and after the first inspection task in the queue to be inspected is finished, updating the inspection time estimation model according to the actual inspection time corresponding to the first inspection task, and updating the queue to be inspected according to the first inspection task.

Optionally, the updating the inspection time estimation model according to the actual inspection time corresponding to the first inspection task includes:

determining whether there exists a check record to be updated that matches a check protocol and a user attribute included in the first check task in at least one check record included in the check time estimation model, wherein each check record includes: an inspection protocol, user attributes and corresponding estimated inspection time;

if the check record to be updated exists, updating the estimated check time included in the check record to be updated according to the actual check time corresponding to the first check task;

if the check record to be updated does not exist, adding a new check record in the check time estimation model according to the check protocol and the user attribute included in the first check task, and determining the estimated check time included in the new check record according to the initial check time corresponding to the first check task and the actual check time corresponding to the first check task, wherein the initial check time corresponding to the first check task is determined according to the check protocol included in the first check task and the corresponding relation between the preset check protocol and the time.

Optionally, the method further comprises:

and if a new inspection task and position information corresponding to the new inspection task are acquired, adding the new inspection task to the queue to be inspected, wherein the position indicated by the position information is used for updating the queue to be inspected.

Optionally, before determining the waiting time corresponding to each of the inspection tasks according to the inspection time corresponding to each of the inspection tasks and the designated sequence, the method further includes:

according to the designated sequence, and the inspection protocol and the user attribute included in each inspection task, determining the accumulated inspection heat corresponding to each inspection task, wherein the accumulated inspection heat is used for indicating the accumulated heat of the inspection equipment after the inspection task is completed;

if the accumulated inspection heat corresponding to the target inspection task meets a preset condition, adding an empty inspection task in the queue to be inspected after the target inspection task, wherein the inspection time corresponding to the empty inspection task is the specified rest time, and the target inspection task is any inspection task in the queue to be inspected;

the determining the waiting time corresponding to each inspection task according to the inspection time corresponding to each inspection task and the designated sequence includes:

and determining the waiting time corresponding to each checking task according to the checking time corresponding to each checking task in the checking queue added with the empty checking task and the specified sequence.

Optionally, the determining, according to the specified order, and the inspection protocol and the user attribute included in each of the inspection tasks, the accumulated inspection heat corresponding to each of the inspection tasks includes:

determining the inspection heat corresponding to each inspection task according to the inspection protocol and the user attribute included in each inspection task, wherein the inspection heat is used for indicating the heat generated when the inspection equipment executes the inspection task;

and determining the accumulated inspection heat quantity corresponding to each inspection task according to the inspection heat quantity corresponding to each inspection task and the specified sequence.

Optionally, if the accumulated inspection heat corresponding to the target inspection task meets a preset condition, after an empty inspection task is added after the target inspection task in the queue to be inspected, the method further includes:

and updating the accumulated inspection heat quantity corresponding to each inspection task after the empty inspection task in the queue to be inspected.

According to a second aspect of the embodiments of the present disclosure, there is provided an apparatus for determining a latency, the apparatus including:

the system comprises an acquisition module, a queue to be inspected, a queue management module and a queue management module, wherein the queue to be inspected is used for acquiring the queue to be inspected corresponding to inspection equipment, the queue to be inspected comprises at least one inspection task arranged according to a specified sequence, and each inspection task comprises: checking a protocol and corresponding user attributes of a user to be checked;

the first determining module is used for determining the checking time corresponding to each checking task according to a preset checking time estimation model, and the checking protocol and the user attribute included in each checking task;

and the second determining module is used for determining the waiting time corresponding to each checking task according to the checking time corresponding to each checking task and the specified sequence.

Optionally, the first determining module includes:

a first determining sub-module, configured to determine whether a target inspection record matching an inspection protocol and a user attribute included in the inspection task exists in at least one inspection record included in the inspection time estimation model, where each of the inspection records includes: an inspection protocol, user attributes and corresponding estimated inspection time;

the second determining submodule is used for taking the estimated checking time included in the target checking record as the checking time corresponding to the checking task if the target checking record exists;

the second determining submodule is further configured to determine, if the target inspection record does not exist, initial inspection time corresponding to the inspection protocol included in the inspection task according to the inspection protocol included in the inspection task and a preset correspondence between the inspection protocol and time, and use the initial inspection time corresponding to the inspection protocol included in the inspection task as the inspection time corresponding to the inspection task.

Optionally, the apparatus further comprises:

and the first updating module is used for updating the inspection time estimation model according to the actual inspection time corresponding to the first inspection task after the first inspection task in the queue to be inspected is completed, and updating the queue to be inspected according to the first inspection task.

Optionally, the first updating module is configured to:

Optionally, the apparatus further comprises:

and the second updating module is used for adding the new inspection task to the queue to be inspected if the new inspection task and the position information corresponding to the new inspection task are obtained, wherein the position indicated by the position information is used for updating the queue to be inspected.

Optionally, the apparatus further comprises:

a third determining module, configured to determine, before determining the waiting time corresponding to each inspection task according to the inspection time corresponding to each inspection task and the designated sequence, an accumulated inspection heat corresponding to each inspection task according to the designated sequence, and an inspection protocol and a user attribute included in each inspection task, where the accumulated inspection heat is used to indicate an accumulated heat accumulated by the inspection device after the inspection task is completed;

the system comprises an increasing module, a waiting checking module and a judging module, wherein the increasing module is used for increasing an empty checking task in the queue to be checked after a target checking task if the accumulated checking heat corresponding to the target checking task meets a preset condition, the checking time corresponding to the empty checking task is a designated rest time, and the target checking task is any checking task in the queue to be checked;

the second determination module is to:

Optionally, the third determining module is configured to:

Optionally, the apparatus further comprises:

and a third updating module, configured to update the accumulated inspection heat corresponding to each inspection task after the empty inspection task in the queue to be inspected after adding an empty inspection task after the target inspection task in the queue to be inspected if the accumulated inspection heat corresponding to the target inspection task meets a preset condition.

According to a third aspect of embodiments of the present disclosure, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method of the first aspect of embodiments of the present disclosure.

According to a fourth aspect of the embodiments of the present disclosure, there is provided an electronic apparatus including:

a memory having a computer program stored thereon;

a processor for executing the computer program in the memory to implement the steps of the method of the first aspect of an embodiment of the disclosure.

According to the technical scheme, the method comprises the steps of firstly obtaining a queue to be checked corresponding to checking equipment, wherein the queue to be checked comprises at least one checking task which is arranged according to a specified sequence, each checking task comprises a checking protocol and a corresponding user attribute of a user to be checked, then determining the checking time corresponding to the checking task according to a preset checking time estimation model, the checking protocol and the user attribute which are contained in each checking task, and finally determining the waiting time corresponding to each checking task according to the checking time corresponding to each checking task in the queue to be checked and the specified sequence. The method and the device for checking the inspection task determine the corresponding checking time of each inspection task by combining the checking protocol and the corresponding user attribute included in each inspection task, so that the waiting time of each inspection task in the queue to be checked is obtained, and the checking efficiency of the checking equipment can be improved.

Additional features and advantages of the disclosure will be set forth in the detailed description which follows.

Drawings

The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure without limiting the disclosure. In the drawings:

FIG. 1 is a flow chart illustrating a method of latency determination in accordance with an exemplary embodiment;

FIG. 2 is a flow diagram illustrating another method of latency determination in accordance with an exemplary embodiment;

FIG. 3 is a flow chart illustrating another method of latency determination in accordance with an exemplary embodiment;

FIG. 4 is a flow chart illustrating another method of latency determination in accordance with an exemplary embodiment;

FIG. 5 is a flow chart illustrating another method of latency determination in accordance with an exemplary embodiment;

FIG. 6 is a flow chart illustrating another method of latency determination in accordance with an exemplary embodiment;

FIG. 7 is a flow chart illustrating another method of latency determination in accordance with an exemplary embodiment;

FIG. 8 is a flow chart illustrating another method of latency determination in accordance with an exemplary embodiment;

FIG. 9 is a block diagram illustrating a latency determination apparatus in accordance with an exemplary embodiment;

FIG. 10 is a block diagram illustrating another latency determination apparatus in accordance with an exemplary embodiment;

FIG. 11 is a block diagram illustrating another latency determination apparatus in accordance with an exemplary embodiment;

FIG. 12 is a block diagram illustrating another latency determination apparatus in accordance with an exemplary embodiment;

FIG. 13 is a block diagram illustrating another latency determination apparatus in accordance with an exemplary embodiment;

FIG. 14 is a block diagram illustrating another latency determination apparatus in accordance with an exemplary embodiment;

FIG. 15 is a block diagram illustrating an electronic device in accordance with an example embodiment.

Detailed Description

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.

The method combines the inspection protocol included in each inspection task in the queue to be inspected with the corresponding user attribute, and determines the inspection time corresponding to each inspection task together, so as to obtain the waiting time of each inspection task in the queue to be inspected. The method and the device can enable the user to be inspected to know the definite waiting time, avoid time waste and improve the inspection efficiency of the inspection equipment. In addition, the user to be inspected can know the clear waiting time, so that the user to be inspected does not need to gather and queue, the shunting processing can be effectively carried out, and the probability of cross infection is reduced.

Fig. 1 is a flow chart illustrating a method of latency determination according to an exemplary embodiment, which may include the steps of, as shown in fig. 1:

step 101, obtaining a queue to be inspected corresponding to an inspection device, where the queue to be inspected includes at least one inspection task arranged according to a specified order, and each inspection task includes: the protocol and the corresponding user attributes of the user to be checked are checked.

For example, hospitals include various types of examination equipment that can provide various types of assistance data for a doctor's diagnosis. Due to the large use requirements of the inspection equipment, queuing of users to be inspected is generally required. The examination device may be, for example, a scanning device such as a CT device, a PET device, or an MRI device, or may be a DSA (Digital Subtraction Angiography) device, an ultrasound examination device, or the like, which is not particularly limited in this disclosure. The queue to be inspected corresponding to any inspection device can be obtained through a Hospital Information System (HIS), can also be obtained through a third-party information system authorized by the Hospital, and can also be manually input by an inspector in charge of the inspection device. Wherein, the queue to be checked includes one or more checking tasks, and each checking task may include: the inspection protocol to be executed by the inspection task, the user attribute of the user to be inspected corresponding to the inspection task, and a task identifier of the inspection task (capable of uniquely identifying the inspection task). An examination protocol may be understood as various examination items that an examination apparatus can provide. Taking the examination apparatus as a CT apparatus as an example, the examination protocol may include: head sweep, head enhancement scan, abdomen sweep, abdomen enhancement scan, neck sweep, neck enhancement scan, and the like. The user attributes are used to describe characteristics of the corresponding user to be checked, and may include, for example: height, weight, user category (which may include normal, slow moving, assistance needed, etc.), gender, and may also include: age, body fat rate, fasting or not, etc., and the above user attributes are merely illustrative, and the user attributes described in the present disclosure are not limited thereto. The queue to be checked may be stored in a table form, for example, or may be stored in other data structures such as a linked list. Taking the example that the queue to be checked includes five check tasks of T1, T2, T3, T4 and T5, the queue to be checked can be as shown in table 1:

TABLE 1

Task identification	Inspection protocol	Height (cm)	Body weight (kg)	User categories	Sex
						T1	Head flat broom	176	69	Is normal	For male
T2	Abdomen flat broom	171	71	Slow movement	For male
						T3	Neck enhancement scanning	162	52	Is normal	Woman
T4	Head enhanced scanning	166	60	Need for assistance	Woman
						T5	Abdomen flat broom	182	73	Is normal	For male

It should be noted that the inspection tasks included in the queue to be inspected may be stored in the original form of data, i.e. the form shown in table 1. Or the inspection protocol and the user attribute included in the inspection task are encoded according to different data types and different numerical values and then stored. For example, the head sweep may be stored as P1, the head enhanced scan as P2, the abdomen sweep as P3, the normal as S1, the action slow as S2, the assistance required as S3.

And 102, determining the corresponding checking time of each checking task according to a preset checking time estimation model, and the checking protocol and the user attribute included in each checking task.

For example, since the requirements of the users to be inspected are different in each inspection task, the corresponding inspection time is also different. For example, a user to be checked belongs to a user category needing assistance due to age, and the corresponding checking time is longer than that of a user to be checked with a normal user category, although the attributes of other users are the same. Similarly, since the abdomen enhanced scan requires a preliminary injection of a drug such as a contrast medium, the examination time of the abdomen enhanced scan is longer than the time of the abdomen flat scan for the user to be examined having the same user attribute. It is therefore necessary to determine the corresponding inspection time for the inspection protocol and the user attribute included in each inspection task. The inspection time can be understood as the time consumed by the inspection equipment to inspect the user to be inspected corresponding to the inspection task. After the queue to be inspected is obtained, the inspection time corresponding to each inspection task in the queue to be inspected can be determined by using a preset inspection time estimation model.

One implementation of the examination time estimation model may be, for example, a pre-trained neural network, which is capable of determining the corresponding examination time according to different examination protocols and user attributes. The examination protocol and the user attribute included in each examination task can be used as the input of the neural network, and the output of the neural network is the examination time corresponding to the examination task. Specifically, the neural network may be trained according to a large number of inspection tasks that have been completed before the inspection device, so that when a certain completed inspection task is input to the neural network, the output time matches the actual inspection time of the completed inspection task. Another implementation of the inspection time estimation model may be, for example, a feature library pre-established according to a large number of inspection tasks that have been completed before, wherein the feature library includes a plurality of inspection records, and each inspection record includes an inspection protocol, a user attribute and a corresponding estimated inspection time. The inspection protocol and the user attribute included in each inspection task can be matched with a plurality of inspection records one by one, the inspection record matched with the inspection task is determined, and the inspection time corresponding to the inspection task is determined according to the matching result.

And 103, determining the waiting time corresponding to each inspection task according to the inspection time corresponding to each inspection task and the specified sequence.

For example, after the checking time corresponding to each checking task in the queue to be checked is determined, the corresponding checking times may be sequentially accumulated according to the specified sequence of each checking task in the queue to be checked, so as to obtain the waiting time corresponding to each checking task. The waiting time is understood to be the time that the inspection device needs to wait before being able to perform the inspection task. Taking the queue to be inspected in table 1 as an example, the inspection time corresponding to each inspection task is determined to be 5min, 10min, 17min, 23min, and 7min in step 102, and table 2 can be obtained:

TABLE 2

Then, the inspection time may be accumulated according to the sequence of T1-T2-T3-T4-T5, wherein the waiting time of the first inspection task in the queue to be inspected is 0 (i.e. the user to be inspected corresponding to the first inspection task may directly start inspection), so that the waiting time corresponding to each inspection task may be obtained, as shown in table 3:

TABLE 3

Task identification	Waiting time (min)
		T1	0
T2	5
		T3	15
T4	32
		T5	55

It should be noted that after determining the waiting time corresponding to each inspection task, the waiting time corresponding to each inspection task may be notified to the user to be inspected corresponding to the inspection task in various ways. For example, a display screen may be provided in the vicinity of the inspection apparatus to display the waiting time corresponding to each inspection task. Or sending the waiting time corresponding to each inspection task to the mobile terminal appointed by the user to be inspected corresponding to the inspection task in the modes of short messages, mails, telephones and the like. The waiting time corresponding to each inspection task can also be sent to a server of a specified APP (English: Application, Chinese: Application), and the user to be inspected corresponding to the inspection task can check the waiting time by logging in the specified APP.

In this way, the inspection time estimation model is utilized to combine the inspection protocol included in each inspection task in the queue to be inspected with the corresponding user attribute, and the inspection time corresponding to each inspection task is determined together, so that the corresponding inspection time is sequentially accumulated according to the specified sequence in the queue to be inspected to obtain the waiting time of each inspection task. The method and the device can enable the user to be inspected to know the definite waiting time, avoid time waste and avoid the problem that the user to be inspected misses the inspection due to short leaving. Thereby improving the inspection efficiency of the inspection apparatus. In addition, the user to be inspected can know the clear waiting time, so that the user to be inspected does not need to gather and queue, the shunting treatment can be effectively carried out by a hospital, and the probability of cross infection among the users to be inspected is reduced.

In summary, the present disclosure first obtains a queue to be inspected corresponding to an inspection apparatus, where the queue to be inspected includes at least one inspection task arranged according to a specified sequence, and each inspection task includes an inspection protocol and a corresponding user attribute of a user to be inspected, then determines an inspection time corresponding to the inspection task according to a preset inspection time estimation model, and the inspection protocol and the user attribute included in each inspection task, and finally determines a waiting time corresponding to each inspection task according to the inspection time corresponding to each inspection task in the queue to be inspected and the specified sequence. The method and the device for checking the inspection task determine the corresponding checking time of each inspection task by combining the checking protocol and the corresponding user attribute included in each inspection task, so that the waiting time of each inspection task in the queue to be checked is obtained, and the checking efficiency of the checking equipment can be improved.

FIG. 2 is a flow chart illustrating another method of latency determination according to an exemplary embodiment, such as step 102 of FIG. 2 may include:

step 1021, determining whether there is a target check record matching with the check protocol and the user attribute included in the check task in at least one check record included in the check time estimation model, wherein each check record includes: the examination protocol, the user attributes and the corresponding estimated examination time.

In one implementation, the examination-time estimation model may pre-store one or more examination records, each examination record including an examination protocol, a user attribute, and a corresponding estimated examination time, and may further include a record identification of the examination record (capable of uniquely identifying the examination record). It is understood that the inspection records in the inspection time estimation model are derived from a number of inspection tasks that have been completed before the inspection equipment. The statistical value (for example, the average value, the median value, the peak value, etc.) of the actual inspection time for executing a certain inspection task by a user with a certain user attribute in the inspection tasks that have been executed by the inspection equipment before can be counted in advance, and the estimated inspection time corresponding to the execution of the inspection task is taken as the user attribute. The user attribute included in the check record may be a value range. For example, the examination time of head panning is performed for 200 sexes before acquisition, the height is 180cm, the weight is 60-80kg, the user category is normal users, and then the average value of 200 actual examination times is taken as the corresponding estimated examination time. The examination time estimation model may be, for example, as shown in table 4:

TABLE 4

For each inspection task, it is possible to search for whether there is a target inspection record matching the inspection protocol and the user attribute included in the inspection task, among the inspection records included in the inspection time estimation model. The inspection task is matched with the target inspection record, and it can be understood that the inspection protocol included in the target inspection record is the same as the inspection protocol included in the inspection task, and the user attribute included in the inspection task belongs to the value range of the user attribute included in the target inspection record.

In step 1022, if there is a target inspection record, the estimated inspection time included in the target inspection record is used as the inspection time corresponding to the inspection task.

And step 1023, if no target check record exists, according to the check protocol included in the check task and the corresponding relation between the preset check protocol and time, determining the initial check time corresponding to the check protocol included in the check task, and taking the initial check time corresponding to the check protocol included in the check task as the check time corresponding to the check task.

In a specific implementation, if the target inspection record is found in the inspection time estimation model, the estimated inspection time included in the target inspection record may be used as the inspection time corresponding to the inspection task. For example, if the inspection task identified as T1 in table 2 matches the inspection record identified as 001, the inspection record identified as 001 may be used as the target inspection record, and accordingly, the inspection time of the inspection task identified as T1 may be determined to be 5 min.

If the target check record is not found in the check time estimation model, the initial check time corresponding to the check protocol included in the check task can be determined according to the check protocol included in the check task and the corresponding relation between the preset check protocol and the time. In general, the examination protocol is a main factor that affects the examination time, and therefore, when the examination time estimation model does not store the examination record corresponding to the examination task, the examination time can be estimated in accordance with the examination protocol included in the examination task. For example, the corresponding initial inspection time may be determined according to the correspondence relationship between the inspection protocol and the time, and the initial inspection time may be used as the inspection time corresponding to the inspection task. The corresponding relationship between the inspection protocol and the time may be provided by the manufacturer of the inspection equipment, or may be obtained by analyzing a large number of inspection tasks that have been completed. The corresponding relation can be a pre-trained neural network, and the neural network can determine corresponding examination time according to different examination protocols. The correspondence may also be a table of relationships including various inspection protocols and corresponding initial inspection times.

For example, the inspection task identified as T3 in table 2, the target inspection record was not found in the inspection time estimation model shown in table 4. Then the corresponding initial examination time may be determined to be 17min based on the neck enhancement scan and the correspondence of the examination protocol to time, thereby determining the examination time for the examination task identified as T3 to be 17 min.

Fig. 3 is a flow chart illustrating another latency determination method according to an exemplary embodiment, as shown in fig. 3, the method further comprising:

and step 104, after the first inspection task in the queue to be inspected is completed, updating the inspection time estimation model according to the actual inspection time corresponding to the first inspection task, and updating the queue to be inspected according to the first inspection task.

For example, in order to enable the checking time estimation model to determine the checking time more comprehensively and accurately, the checking time estimation model may be continuously updated, and the updating process may also be understood as a self-learning process of the checking time estimation model. For example, each time the user to be inspected corresponding to the first inspection task in the queue to be inspected completes the inspection, the inspection time estimation model may be updated according to the actual inspection time corresponding to the first inspection task. Meanwhile, the queue to be checked can be updated according to the first check task, namely the first check task is deleted from the queue to be checked, and then the second check task in the queue to be checked before updating is changed into the first check task after updating.

It should be noted that, the actual inspection time corresponding to the first inspection task may be obtained by the following method: firstly, the starting time and the ending time of the user to be inspected, corresponding to the first inspection task, using the inspection device are determined by a sensor (such as a pressure sensor, an infrared sensor, a sound sensor and the like) arranged on the inspection device, and then the time difference between the starting time and the ending time is taken as the corresponding actual inspection time. In the second mode, images are acquired through an image acquisition device (such as a camera) arranged near the inspection equipment, and face recognition is carried out on the images, so that the starting time and the ending time of the inspection equipment used by a user to be inspected corresponding to the first inspection task are determined, and then the time difference between the starting time and the ending time is used as the corresponding actual inspection time. The above implementation manner is only used for illustration, and the present disclosure does not specifically limit the manner of obtaining the actual inspection time.

Fig. 4 is a flowchart illustrating another latency determination method according to an exemplary embodiment, and as shown in fig. 4, the implementation of updating the check time estimation model in step 104 may include:

step 1041, determining whether there exists an examination record to be updated matching with the examination protocol and the user attribute included in the first examination task in at least one examination record included in the examination time estimation model, where each examination record includes: the examination protocol, the user attributes and the corresponding estimated examination time.

Step 1042, if there is a checking record to be updated, updating the estimated checking time included in the checking record to be updated according to the actual checking time corresponding to the first checking task.

Step 1043, if there is no checking record to be updated, adding a new checking record in the checking time estimation model according to the checking protocol and the user attribute included in the first checking task, and determining the estimated checking time included in the new checking record according to the initial checking time corresponding to the first checking task and the actual checking time corresponding to the first checking task, where the initial checking time corresponding to the first checking task is determined according to the checking protocol included in the first checking task and the corresponding relationship between the preset checking protocol and the time.

For example, according to the actual inspection time corresponding to the first inspection task, the specific manner of updating the inspection time estimation model may be to determine whether there is an inspection record to be updated that matches the inspection protocol and the user attribute included in the first inspection task in at least one inspection record included in the inspection time estimation model. The manner of determining the check record to be updated is the same as the manner of determining the target check record in step 1021, and is not described herein again. The following specifically describes whether there are two scenes to be updated and checked and recorded:

if the check record to be updated exists in the check time estimation model, the estimated check time included in the check record to be updated can be updated according to the actual check time corresponding to the first check task. For example, in the inspection time estimation model, each inspection record may include, in addition to the inspection protocol, the user attribute, and the corresponding estimated inspection time, an attached table in which the actual inspection time corresponding to one or more inspection tasks previously matched with the inspection record is recorded. Then, after the actual checking time corresponding to the first checking task is obtained, the actual checking time corresponding to the first checking task is stored in an attached table included in the checking record to be updated. Finally, the statistical values (such as average value, median, peak value, etc.) of the actual checking time recorded in the attached table included in the checking record to be updated are used as the estimated checking time included in the updated checking record to be updated.

Take the first inspection task in the inspection queue, matching the inspection record identified as 005 in table 4 as an example. The check record includes an additional table that records the 7 actual check times that previously matched the check record: 6min, 7min, 8min, 9min, 5min, 7min, the actual inspection time for the first inspection task is 8min, then 8min may be added to the attached table and the average of the 8 actual inspection times recorded in the attached table is found: 7min to update the estimated examination time included in the examination record with record identification 005.

If the check record to be updated does not exist in the check time estimation model, a new check record can be added to the check time estimation model according to the check protocol and the user attribute included in the first check task, and the check protocol and the user attribute included in the new check record are matched with the first check task. Then, the estimated inspection time included in the new inspection record is determined according to the initial inspection time corresponding to the first inspection task and the actual inspection time corresponding to the first inspection task, for example, an average value of the initial inspection time and the actual inspection time may be used as the estimated inspection time. The initial checking time corresponding to the first checking task is determined according to the checking protocol included in the first checking task and the corresponding relation between the preset checking protocol and the time. The corresponding relationship between the preset check protocol and the time may be the same as or different from the corresponding relationship in step 1023.

Take the examination protocol of the first examination task in the examination queue as the abdomen enhancement scan, the height is 85cm, the weight is 15kg, the user category is the need for assistance, the gender is male, and the actual examination time is 27min as an example. If no examination record matching the examination task is found in the examination time estimation model to be updated, a new examination record may be added to the examination time estimation model. Further, the initial examination time corresponding to the examination task can be determined to be 17min according to the corresponding relationship between the preset examination protocol and the time and the abdomen enhanced scanning. Finally, the average of the initial inspection time of 17min and the actual inspection time of 27min was calculated: 22min, the estimated examination time included in the new examination record may be determined to be 22 min. The examination time estimation model for the new examination record is added, as shown in table 5:

TABLE 5

Fig. 5 is a flow chart illustrating another latency determination method according to an example embodiment, which may further include, as shown in fig. 5:

and 105, if the new inspection task and the position information corresponding to the new inspection task are obtained, adding the new inspection task to the queue to be inspected, wherein the position information indicates the position, so as to update the queue to be inspected.

For example, the queue to be checked may be updated in real time, i.e., new checking tasks may be added to the queue to be checked at any time. And, the position of the new inspection task in the queue to be inspected can also be specified. Typically, a new inspection task may be added to the tail of the queue to be inspected. Due to the use of the examination apparatus, a scenario may arise in which emergency tasks (e.g. examination of a patient requiring first aid) are temporarily added. Therefore, a new inspection task can also be added to the queue to be inspected at any position.

FIG. 6 is a flow chart illustrating another method of latency determination according to an exemplary embodiment, as shown in FIG. 6, prior to step 103, the method further comprising:

and 106, determining the accumulated checking heat quantity corresponding to each checking task according to the designated sequence, the checking protocol and the user attribute included in each checking task, wherein the accumulated checking heat quantity is used for indicating the accumulated heat quantity of the checking equipment after the checking task is completed.

In one implementation scenario, the inspection equipment may accumulate heat due to continuous operation, which, if continued, may cause the inspection equipment to malfunction, or otherwise fail. Therefore, the inspection equipment needs to be rested when the heat of the inspection equipment meets the preset condition. The examination apparatus which generates heat during use may be, for example, a CT apparatus, a PET apparatus, an MRI apparatus, or the like. The accumulated heat of the inspection equipment (i.e. the accumulated inspection heat) after the inspection of the user to be inspected corresponding to each inspection task is completed can be determined according to the designated sequence of each inspection task in the queue to be inspected, and the inspection protocol and the user attribute included in each inspection task. It can be understood that the accumulated inspection heat quantity can be obtained by estimating the heat quantity possibly generated by each inspection task in the queue to be inspected and then accumulating the estimated heat quantity according to the specified sequence. It should be noted that the heat generated by each inspection task is influenced by the radioactive ray scanning time and the non-radioactive ray scanning time of the inspection equipment in the inspection task, that is, some idle steps (for example, steps of injecting medicine, putting on a scanning bed, setting a position, etc.) which do not need radioactive rays may exist in the inspection task, besides the influence of the inspection protocol and the user attribute included in the inspection task, and the generated heat is attenuated, wherein the attenuation rate can be determined by the ambient temperature of the scanning cavity of the inspection equipment and the duration of the idle step. Thus, the heat decay value determined according to the length of the idle step in each inspection task has been deducted from the heat generated by each inspection task determined in the present disclosure.

And 107, if the accumulated inspection heat quantity corresponding to the target inspection task meets the preset condition, adding an empty inspection task after the target inspection task in the queue to be inspected, wherein the inspection time corresponding to the empty inspection task is the specified downtime, and the target inspection task is any inspection task in the queue to be inspected.

Accordingly, the implementation manner of step 103 may be:

For example, if the accumulated inspection heat corresponding to a certain inspection task meets a preset condition, the inspection task may be determined as a target inspection task. The preset condition may be that the accumulated checking heat is greater than or equal to a heat threshold. The accumulated checking heat corresponding to the target checking task is greater than or equal to the heat threshold, which means that after the target checking task is completed, the accumulated heat of the checking equipment is too high and needs to be rested. Then, at this time, an empty check task may be added after the target check task in the queue to be checked, and the check time corresponding to the empty check task is a specified rest time (for example, may be 20 min). Accordingly, the waiting time corresponding to each inspection task can be determined according to the inspection time corresponding to each inspection task in the inspection queue added with the empty inspection tasks and the specified sequence. It should be noted that the empty inspection task may also be used in a scene indicating a temporary interruption (for example, an inspector in charge of the inspection equipment temporarily leaves), that is, one empty inspection task may be added to a designated position in the inspection queue, and the inspection time corresponding to the empty inspection task is set as the interruption time.

Taking the queue to be inspected shown in table 1 as an example, the cumulative inspection heat quantity corresponding to each inspection task determined in step 106 is shown in table 6:

TABLE 6

Task identification	Cumulative checking heat quantity (J)
		T1	37246
T2	39360
		T3	43551
T4	47210
		T5	50623

Taking 43000J as an example of the heat threshold, it may be determined that the inspection task identified as T3 is the target inspection task, and then a null inspection task is added after T3, corresponding to 20min of inspection time. Then, the waiting time for each inspection task is shown in table 7:

TABLE 7

Task identification	Waiting time (min)
		T1	0
T2	5
		T3	15
T6	32
		T4	52
T5	75

The inspection task with task identifier T6 is a null inspection task. Therefore, as the task (namely the empty inspection task) for correcting by the inspection equipment is added in the queue to be inspected, the user to be inspected corresponding to other inspection tasks in the queue to be inspected can know the clear waiting time, and the time waste is avoided.

FIG. 7 is a flow chart illustrating another method of latency determination according to an exemplary embodiment, as shown in FIG. 7, step 106 may include:

step 1061, determining the inspection heat corresponding to each inspection task according to the inspection protocol and the user attribute included in each inspection task, where the inspection heat is used to instruct the inspection device to execute the heat generated during the inspection task.

Step 1062, determining the cumulative inspection heat quantity corresponding to each inspection task according to the inspection heat quantity corresponding to each inspection task and the designated sequence.

Specifically, to determine the accumulated inspection heat corresponding to each inspection task, the inspection heat corresponding to each inspection task may be determined according to the inspection protocol and the user attribute included in each inspection task, where the inspection heat is used to indicate the heat generated when the inspection device inspects the user to be inspected corresponding to the inspection task. For example, the inspection protocol and the user attribute included in each inspection task may be input into a preset thermal calculation library, and the thermal calculation library calculates the inspection heat corresponding to the inspection task. The thermal computation library can be understood as a thermal computation function provided by a manufacturer of the inspection equipment, and can also be understood as a pre-trained neural network, and the neural network can determine the corresponding inspection heat quantity according to different inspection protocols and user attributes. The examination protocol and the user attribute included in each examination task can be used as the input of the neural network, and the output of the neural network is the examination heat corresponding to the examination task.

And then, according to the appointed sequence of each inspection task in the queue to be inspected, sequentially accumulating the corresponding inspection heat quantity to obtain the accumulated inspection heat quantity corresponding to each inspection task.

Fig. 8 is a flow chart illustrating another method of latency determination according to an exemplary embodiment, as shown in fig. 8, after step 107, the method further comprising:

and step 108, updating the accumulated checking heat quantity corresponding to each checking task after the empty checking task in the queue to be checked.

For example, after an empty inspection task is added to the queue to be inspected, the cumulative inspection heat corresponding to each inspection task after the empty inspection task may be updated. It can be understood that, when the empty inspection task is executed, the inspection device is in a rest state, after the empty inspection task is completed, the heat generated by the inspection device is attenuated to a heat initial value (for example, 1000J) which can meet the requirement that the detection device reaches the best detection performance, and the heat capacity initial value can be understood as that, when the heat generated by the inspection device is the heat initial value, the detection device can start executing the inspection task without preheating, thereby ensuring that the detection device works normally. The cumulative inspection heat quantity corresponding to each inspection task following the empty inspection task also changes, i.e., the cumulative inspection heat quantity corresponding to each inspection task following the empty inspection task is re-accumulated from the heat quantity starting value. Taking the cumulative inspection heat quantity corresponding to each inspection task shown in table 6 as an example, after adding the null inspection task, the cumulative inspection heat quantity corresponding to each inspection task after the null inspection task is updated, as shown in table 8:

TABLE 8

Task identification	Cumulative checking heat quantity (J)
		T1	37246
T2	39360
		T3	43551
T6	1000
		T4	4659
T5	8072

Fig. 9 is a block diagram illustrating a latency determination apparatus according to an exemplary embodiment, and as shown in fig. 9, the apparatus 200 includes:

an obtaining module 201, configured to obtain a queue to be inspected corresponding to the inspection device, where the queue to be inspected includes at least one inspection task arranged according to a specified order, and each inspection task includes: the protocol and the corresponding user attributes of the user to be checked are checked.

The first determining module 202 is configured to determine, according to a preset inspection time estimation model, and an inspection protocol and a user attribute included in each inspection task, an inspection time corresponding to each inspection task.

The second determining module 203 is configured to determine the waiting time corresponding to each inspection task according to the inspection time corresponding to each inspection task and the designated sequence.

Fig. 10 is a block diagram illustrating another latency determination apparatus according to an exemplary embodiment, and as shown in fig. 10, the first determination module 202 may include:

a first determining sub-module 2021, configured to determine whether there is a target inspection record matching the inspection protocol and the user attribute included in the inspection task in at least one inspection record included in the inspection time estimation model, where each inspection record includes: the examination protocol, the user attributes and the corresponding estimated examination time.

The second determining sub-module 2022 is configured to, if there is a target check record, use the estimated check time included in the target check record as the check time corresponding to the check task.

The second determining sub-module 2022 is further configured to determine, if there is no target inspection record, an initial inspection time corresponding to the inspection protocol included in the inspection task according to the inspection protocol included in the inspection task and a preset correspondence between the inspection protocol and time, and use the initial inspection time corresponding to the inspection protocol included in the inspection task as the inspection time corresponding to the inspection task.

Fig. 11 is a block diagram illustrating another latency determination apparatus according to an exemplary embodiment, and as shown in fig. 11, the apparatus 200 may further include:

the first updating module 204 is configured to update the inspection time estimation model according to the actual inspection time corresponding to the first inspection task after the first inspection task in the queue to be inspected is completed, and update the queue to be inspected according to the first inspection task.

In one implementation, the first update module 204 is configured to:

determining whether at least one checking record matched with the checking protocol and the user attribute included in the first checking task exists in at least one checking record included in the checking time estimation model, wherein each checking record comprises: the examination protocol, the user attributes and the corresponding estimated examination time.

And if the checking record to be updated exists, updating the estimated checking time included in the checking record to be updated according to the actual checking time corresponding to the first checking task.

Fig. 12 is a block diagram illustrating another latency determination apparatus according to an exemplary embodiment, and as shown in fig. 12, the apparatus 200 further includes:

the second updating module 205 is configured to, if the new inspection task and the position information corresponding to the new inspection task are obtained, add the new inspection task to the queue to be inspected, where the position information indicates, so as to update the queue to be inspected.

Fig. 13 is a block diagram illustrating another latency determination apparatus according to an exemplary embodiment, and as shown in fig. 13, the apparatus 200 further includes:

a third determining module 206, configured to determine, before determining the waiting time corresponding to each inspection task according to the inspection time corresponding to each inspection task and the designated order, an accumulated inspection heat corresponding to each inspection task according to the designated order and the inspection protocol and the user attribute included in each inspection task, where the accumulated inspection heat is used to indicate an accumulated heat accumulated by the inspection equipment after the inspection task is completed.

An adding module 207, configured to add an empty inspection task after the target inspection task in the queue to be inspected if the accumulated inspection heat corresponding to the target inspection task meets a preset condition, where inspection time corresponding to the empty inspection task is specified downtime, and the target inspection task is any inspection task in the queue to be inspected.

Accordingly, the second determining module 202 is configured to:

In one implementation, the third determining module 206 is configured to:

and determining the inspection heat corresponding to each inspection task according to the inspection protocol and the user attribute included in each inspection task, wherein the inspection heat is used for indicating the heat generated when the inspection equipment executes the inspection task.

Fig. 14 is a block diagram illustrating another latency determination apparatus according to an exemplary embodiment, and as shown in fig. 14, the apparatus 200 further includes:

the third updating module 208 is configured to update the accumulated inspection heat corresponding to each inspection task after the empty inspection task in the queue to be inspected after adding an empty inspection task after the target inspection task in the queue to be inspected if the accumulated inspection heat corresponding to the target inspection task meets the preset condition.

With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.

FIG. 15 is a block diagram illustrating an electronic device 300 according to an example embodiment. As shown in fig. 15, the electronic device 300 may include: a processor 301 and a memory 302. The electronic device 300 may also include one or more of a multimedia component 303, an input/output (I/O) interface 304, and a communication component 305.

The processor 301 is configured to control the overall operation of the electronic device 300, so as to complete all or part of the steps in the above-mentioned method for determining the waiting time. The memory 302 is used to store various types of data to support operation at the electronic device 300, such as instructions for any application or method operating on the electronic device 300 and application-related data, such as contact data, transmitted and received messages, pictures, audio, video, and the like. The Memory 302 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk or optical disk. The multimedia components 303 may include a screen and an audio component. Wherein the screen may be, for example, a touch screen and the audio component is used for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may further be stored in the memory 302 or transmitted through the communication component 305. The audio assembly also includes at least one speaker for outputting audio signals. The I/O interface 304 provides an interface between the processor 301 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 305 is used for wired or wireless communication between the electronic device 300 and other devices. Wireless Communication, such as Wi-Fi, bluetooth, Near Field Communication (NFC), 2G, 3G, 4G, NB-IOT, eMTC, or other 5G, etc., or a combination of one or more of them, which is not limited herein. The corresponding communication component 305 may therefore include: Wi-Fi module, Bluetooth module, NFC module, etc.

In an exemplary embodiment, the electronic Device 300 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components for performing the above-mentioned latency determination method.

In another exemplary embodiment, a computer readable storage medium is also provided, which comprises program instructions, which when executed by a processor, implement the steps of the latency determination method described above. For example, the computer readable storage medium may be the memory 302 including program instructions executable by the processor 301 of the electronic device 300 to perform the latency determination method described above.

In another exemplary embodiment, a computer program product is also provided, which comprises a computer program executable by a programmable apparatus, the computer program having code portions for performing the above-mentioned latency determination method when executed by the programmable apparatus.

The preferred embodiments of the present disclosure are described in detail with reference to the accompanying drawings, however, the present disclosure is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solution of the present disclosure within the technical idea of the present disclosure, and these simple modifications all belong to the protection scope of the present disclosure.

It should be noted that, in the foregoing embodiments, various features described in the above embodiments may be combined in any suitable manner, and in order to avoid unnecessary repetition, various combinations that are possible in the present disclosure are not described again.

In addition, any combination of various embodiments of the present disclosure may be made, and the same should be considered as the disclosure of the present disclosure, as long as it does not depart from the spirit of the present disclosure.

Claims

1. A method for latency determination, the method comprising:

2. The method according to claim 1, wherein the determining the inspection time corresponding to each inspection task according to a preset inspection time estimation model and the inspection protocol and the user attribute included in each inspection task comprises:

3. The method of claim 1, further comprising:

4. The method of claim 3, wherein updating the inspection time estimation model based on the actual inspection time corresponding to the first inspection task comprises:

5. The method of claim 1, further comprising:

6. The method according to any of claims 1-5, wherein prior to said determining a wait time for each of said inspection tasks based on an inspection time for each of said inspection tasks and said specified order, said method further comprises:

7. The method according to claim 6, wherein said determining the cumulative inspection heat quantity corresponding to each of the inspection tasks according to the designated sequence and the inspection protocol and user attribute included in each of the inspection tasks comprises:

8. The method according to claim 6, wherein if the accumulated inspection heat corresponding to the target inspection task satisfies a predetermined condition, after adding an empty inspection task after the target inspection task in the queue to be inspected, the method further comprises:

9. An apparatus for determining latency, the apparatus comprising:

10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 8.

11. An electronic device, comprising:

a memory having a computer program stored thereon;

a processor for executing the computer program in the memory to carry out the steps of the method of any one of claims 1 to 8.