Intelligent calling method, device and equipment based on voiceprint recognition

Abstract

The invention relates to an intelligent calling method, device and equipment based on voiceprint recognition, and the method comprises the steps: obtaining a current ongoing event, a historical event and a calling log of each position when a plurality of positions are detected to send calling instructions at the same time, determining a first priority of each first position based on the physical sign data, a current ongoing event, a historical event, a call log and first audio information of each first position, determining a second priority of each second position based on a current ongoing event, a historical event, a call log and second audio information of each second position, and determining the number of workers based on the number of the plurality of positions, and based on the number of the workers, the first priority and the second priority, determining target workers and a target position corresponding to each target worker. According to the application, the staff can conveniently and orderly process when a plurality of patients call the staff at the same time.

Description

Technical Field

[0001] The present application relates to the field of voiceprint recognition, and in particular to an intelligent calling method, device and equipment based on voiceprint recognition. Background Art

[0002] In many scenarios, there is a corresponding relationship between staff and the people being served. For example, in the scenario of a sales office, there is a corresponding relationship between sales staff and home buyers. In the medical system, there is a corresponding relationship between staff and patients. Since there are many people being served and fewer corresponding staff, it is assumed that in the medical system, in order to make it easier for patients to call staff, a pager is installed above each position and an answering machine is installed at the medical station. Patients can call staff by controlling the pager.

[0003] However, when there are multiple patients calling staff at the same time, due to the different specific conditions of different patients, it is inconvenient for the staff to handle multiple patients in an orderly manner, which may result in some patients with serious conditions or emergencies not being treated in a timely manner, increasing the probability of accident risks. Summary of the invention

[0004] In order to facilitate staff to handle the calls in an orderly manner when multiple patients call staff at the same time, the present application provides an intelligent calling method, device and equipment based on voiceprint recognition.

[0005] In the first aspect, the present application provides an intelligent calling method based on voiceprint recognition, which adopts the following technical solution: An intelligent calling method based on voiceprint recognition, comprising: When it is detected that multiple locations issue call instructions at the same time, obtain the current events, historical events and call logs of each location; If there is a first position where a vital sign monitoring event is being performed, obtaining vital sign data and first audio information of each first position; Determine a first priority of each first location based on the vital sign data and currently ongoing events, historical events, call logs, and first audio information of each first location; If there are second locations where no vital sign monitoring event is being performed, obtaining second audio information of each second location, and determining a second priority of each second location based on the currently ongoing event, historical events, call logs, and second audio information of each second location; The number of workers is determined based on the number of the plurality of positions, and target workers and a target position corresponding to each target worker are determined based on the number of workers, the first priority, and the second priority.

[0006] By adopting the above technical solution, when it is detected that multiple locations send out call instructions at the same time, it means that multiple patients need to be handled by staff at the same time. Therefore, the current events, historical events and call logs of each location are obtained, so as to facilitate the subsequent determination of the urgency of each location, that is, the priority. If there is a first location where a vital sign monitoring event is being carried out, it means that the patient at such a location is more dangerous. Therefore, the vital sign data and the first audio information of the first location are obtained, and the first priority of each first location is determined based on the vital sign data and the ongoing events, historical events, call logs and the first audio information. Since the vital sign data, ongoing events, historical events, call logs and the first audio information are all key components for recording the specific situation of the patient at the first location, a comprehensive judgment based on the above information can more accurately determine the priority of the patient. Determine the first priority of each first position. If there is a second position where no vital sign monitoring event is being conducted, it means that such patients do not need vital sign monitoring. It also means that such patients are safer and the possibility of emergency events is lower. Therefore, the second audio information is obtained and the priority of each second position can be accurately determined based on the current time, historical events, call logs and second audio information of the second position. After determining the first priority and the second priority, in order to enable the staff to handle the call needs more orderly, the appropriate number of target staff members are determined according to the number of multiple locations called at the same time. Finally, the target position corresponding to each target staff member is determined according to the first priority and the second priority. This ensures that when multiple patients call the staff at the same time, the staff can handle the call in an orderly manner.

[0007] In another possible implementation, determining the first priority of each first location based on the vital sign data and the currently ongoing events, historical events, call logs, and first audio information of each first location includes: determining the number of remaining events other than the vital sign monitoring events at each first location and the importance level of each remaining event; determining a first importance level average value based on the importance level of each of the remaining events; Calculate the difference between each physical sign data and the corresponding standard physical sign data; Determine a first score representing the importance of the current condition of each first position based on the first importance level average value, the number of remaining events, and the difference corresponding to each vital sign data; Determining from the call log the number of calls made by each first location and the time of each call; Determining a calling frequency of each first location based on a time point of each calling; Determine a second score representing the importance of each first position in terms of calls based on the number of calls and the call frequency; Determining the number of historical events and the importance level of each historical event from the historical events; Determine the time period of each historical event from the historical events; Determine a third score representing the importance of each first location historical status based on the number of historical events, the importance level of each historical event, and the time period of each historical event; Determine a total score for each first position based on the first score, the second score, the third score, and the first audio information; The total score of each first position is sorted to obtain the priority of each first position.

[0008] In another possible implementation, determining the third score representing the importance of the historical status of each first location based on the number of historical events, the importance level of each historical event, and the time period of each historical event includes: Determine a second importance level average value based on the importance level of each historical event; Determine the number of times the event progress times overlap based on the progress time period of each historical event; Determine the number of historical events that are simultaneously carried out during each overlap, and the importance level of the historical events that are simultaneously carried out during each overlap, and determine the third importance level average value; Determine a first sub-score representing the importance of each overlap based on the number of the historical events that are carried out simultaneously and the third importance level average value; Summing the first sub-scores at each overlap to obtain a first sub-score sum; A third score for each first position is determined based on the number of historical events, the second importance level average, the number of overlaps, and the sum of the first sub-scores.

[0009] In another possible implementation, determining the total score of each first position based on the first score, the second score, the third score, and the first audio information includes: Performing denoising on the first audio information to obtain first denoised audio information; Inputting the first denoised audio information into a trained network model for tone recognition, thereby obtaining a first tone of the first audio information corresponding to each first position; Determine a fourth score for each first position based on the first tone; The first score, the second score, the third score and the fourth score are summed to obtain a total score for each first position.

[0010] In another possible implementation, determining the second priority of each second location based on the currently ongoing event, historical events, call logs, and second audio information of each second location includes: determining a number of events currently ongoing at each second location and an importance level of each event; determining a fourth importance level average value based on the importance level of each event; Determine a fifth score representing the importance of the current status of each second location based on the fourth importance level average value and the amount of time currently in progress; Determining from the call log the number of calls made to each second location and the time of each call; Determining a calling frequency of each second location based on a time point of each calling; Determine a sixth score representing the importance of each second location in terms of calls based on the number of calls and the call frequency; determining a fifth importance level average value based on the importance levels of historical events at each second location; Determine the number of times that event progress times overlap based on the progress time periods of the historical events at each second location; Determine the number of historical events that are simultaneously carried out during each overlap, and the importance level of the historical events that are simultaneously carried out during each overlap and determine the sixth importance level average value; Determine a second sub-score representing the importance of each overlap based on the number of the simultaneously performed historical events and the sixth importance level average value; Summing the sub-scores at each overlap to obtain a second sub-score sum; determining a seventh score for each second location based on the number of historical events at the second location, the fifth importance level average, the number of overlaps, and the second sub-score sum; Performing denoising on the second audio information to obtain second denoised audio information; Inputting the second denoised audio information into a trained network model for tone recognition, thereby obtaining a second tone of the second audio information corresponding to each second position; determining an eighth score of each second position based on the second tone; Summing the fifth score, the sixth score, the seventh score and the eighth score to obtain a total score for each second position; The total score of each second position is sorted to obtain the priority of each second position.

[0011] In another possible implementation, determining the number of staff based on the number of the plurality of locations includes: Determine a target preset quantity interval in which the quantities of the plurality of locations are located from a plurality of preset quantity intervals, each preset quantity interval corresponding to a preset number of staff members; The preset number of the target preset number interval is determined as the number of the staff.

[0012] In another possible implementation, determining the target workers and the target position corresponding to each target worker based on the number of workers, the first priority, and the second priority includes: Obtain the names of the historically responsible staff members corresponding to the multiple positions, and determine the preferred staff member corresponding to each position; Determine a total priority ranking result of the plurality of locations based on the first priority and the second priority; Dividing the total priority sorting result according to the number of the staff members to obtain position groupings consistent with the number of the staff members; The preferred staff member with the most appearance times is determined from each position group, and the staff member with the most appearance times is determined as the target staff member corresponding to each position group, and the position in the position group is the target position corresponding to the target staff member.

[0013] In the second aspect, the present application provides an intelligent calling device based on voiceprint recognition, which adopts the following technical solution: An intelligent calling device based on voiceprint recognition, comprising: A first acquisition module is used to acquire the current events, historical events and call logs of each location when it is detected that multiple locations send out call instructions at the same time; A second acquisition module is used to acquire the vital sign data and the first audio information of each first position when there is a first position in which a vital sign monitoring event is being performed; A first determination module, configured to determine a first priority of each first location based on the vital sign data and a currently ongoing event, a historical event, a call log, and a first audio information of each first location; A second determination module is used to obtain second audio information of each second location when there is a second location where no vital sign monitoring event is being performed, and determine a second priority of each second location based on the currently ongoing event, historical events, call logs and second audio information of each second location; The third determination module is used to determine the number of workers based on the number of the multiple positions, and determine the target workers and the target position corresponding to each target worker based on the number of workers, the first priority and the second priority.

[0014] By adopting the above technical solution, when it is detected that multiple locations send out call instructions at the same time, it means that multiple patients need to be handled by staff at the same time. Therefore, the first acquisition module obtains the ongoing events, historical events and call logs of each location, so as to facilitate the subsequent determination of the urgency of each location, that is, the priority. If there is a first location where a vital sign monitoring event is ongoing, it means that the patient at such a location is more dangerous. Therefore, the second acquisition module obtains the vital sign data and the first audio information of the first location, and the first determination module determines the first priority of each first location based on the vital sign data and the ongoing events, historical events, call logs and the first audio information. Since the vital sign data, ongoing events, historical events, call logs and the first audio information are all key components for recording the specific conditions of the patients at the first location, a more accurate judgment based on the above information can be made. Accurately determine the first priority of each first position. If there is a second position where no vital sign monitoring event is being conducted, it means that such patients do not need vital sign monitoring, which also means that such patients are safer and the possibility of emergency events is lower. Therefore, the second determination module obtains the second audio information and can accurately determine the priority of each second position based on the current time, historical events, call logs and second audio information of the second position. After determining the first priority and the second priority, in order to make the staff handle the call needs more orderly, the third determination module determines the appropriate number of target staff according to the number of multiple locations called at the same time, and finally determines the target position corresponding to each target staff according to the first priority and the second priority, thereby facilitating the staff to handle the calls in an orderly manner when multiple patients call the staff at the same time.

[0015] In another possible implementation, when the first determination module determines the first priority of each first location based on the vital sign data and the currently ongoing event, historical event, call log, and first audio information of each first location, it is specifically configured to: determining the number of remaining events other than the vital sign monitoring events at each first location and the importance level of each remaining event; determining a first importance level average value based on the importance level of each of the remaining events; Calculate the difference between each physical sign data and the corresponding standard physical sign data; Determine a first score representing the importance of the current condition of each first position based on the first importance level average value, the number of remaining events, and the difference corresponding to each vital sign data; Determining from the call log the number of calls made by each first location and the time of each call; Determining a calling frequency of each first location based on a time point of each calling; Determine a second score representing the importance of each first position in terms of calls based on the number of calls and the call frequency; Determining the number of historical events and the importance level of each historical event from the historical events; Determine the time period of each historical event from the historical events; Determine a third score representing the importance of each first location historical status based on the number of historical events, the importance level of each historical event, and the time period of each historical event; Determine a total score for each first position based on the first score, the second score, the third score, and the first audio information; The total score of each first position is sorted to obtain the priority of each first position.

[0016] In another possible implementation, when the first determination module determines the third score representing the importance of each first location historical status based on the number of historical events, the importance level of each historical event, and the time period of each historical event, it is specifically configured to: Determine a second importance level average value based on the importance level of each historical event; Determine the number of times the event progress times overlap based on the progress time period of each historical event; Determine the number of historical events that are simultaneously carried out during each overlap, and the importance level of the historical events that are simultaneously carried out during each overlap, and determine the third importance level average value; Determine a first sub-score representing the importance of each overlap based on the number of the historical events that are carried out simultaneously and the third importance level average value; Summing the first sub-scores at each overlap to obtain a first sub-score sum; A third score for each first position is determined based on the number of historical events, the second importance level average, the number of overlaps, and the sum of the first sub-scores.

[0017] In another possible implementation, when the first determination module determines the total score of each first position based on the first score, the second score, the third score, and the first audio information, it is specifically configured to: Performing denoising on the first audio information to obtain first denoised audio information; Inputting the first denoised audio information into a trained network model for tone recognition, thereby obtaining a first tone of the first audio information corresponding to each first position; Determine a fourth score for each first position based on the first tone; The first score, the second score, the third score and the fourth score are summed to obtain a total score for each first position.

[0018] In another possible implementation, when the second determination module determines the second priority of each second location based on the currently ongoing event, historical event, call log, and second audio information of each second location, it is specifically configured to: determining a number of events currently ongoing at each second location and an importance level of each event; determining a fourth importance level average value based on the importance level of each event; Determine a fifth score representing the importance of the current status of each second location based on the fourth importance level average value and the amount of time currently in progress; Determining from the call log the number of calls made to each second location and the time of each call; Determining a calling frequency of each second location based on a time point of each calling; Determine a sixth score representing the importance of each second location in terms of calls based on the number of calls and the call frequency; determining a fifth importance level average value based on the importance levels of historical events at each second location; Determine the number of times that event progress times overlap based on the progress time periods of the historical events at each second location; Determine the number of historical events that are simultaneously carried out during each overlap, and the importance level of the historical events that are simultaneously carried out during each overlap and determine the sixth importance level average value; Determine a second sub-score representing the importance of each overlap based on the number of the simultaneously performed historical events and the sixth importance level average value; Summing the sub-scores at each overlap to obtain a second sub-score sum; determining a seventh score for each second location based on the number of historical events at the second location, the fifth importance level average, the number of overlaps, and the second sub-score sum; Performing denoising on the second audio information to obtain second denoised audio information; Inputting the second denoised audio information into a trained network model for tone recognition, thereby obtaining a second tone of the second audio information corresponding to each second position; determining an eighth score of each second position based on the second tone; Summing the fifth score, the sixth score, the seventh score and the eighth score to obtain a total score for each second position; The total score of each second position is sorted to obtain the priority of each second position.

[0019] In another possible implementation, when determining the number of staff members based on the number of the multiple locations, the third determination module is specifically configured to: Determine a target preset quantity interval in which the quantities of the plurality of locations are located from a plurality of preset quantity intervals, each preset quantity interval corresponding to a preset number of staff members; The preset number of the target preset number interval is determined as the number of the staff.

[0020] In another possible implementation, when the third determination module determines the target workers and the target position corresponding to each target worker based on the number of the workers, the first priority, and the second priority, it is specifically configured to: Obtain the names of the historically responsible staff members corresponding to the multiple positions, and determine the preferred staff member corresponding to each position; Determine a total priority ranking result of the plurality of locations based on the first priority and the second priority; Dividing the total priority sorting result according to the number of the staff members to obtain position groupings consistent with the number of the staff members; The preferred staff member with the most appearance times is determined from each position group, and the staff member with the most appearance times is determined as the target staff member corresponding to each position group, and the position in the position group is the target position corresponding to the target staff member.

[0021] In a third aspect, the present application provides an electronic device, which adopts the following technical solution: An electronic device, comprising: at least one processor; Memory; At least one application, wherein at least one application is stored in a memory and configured to be executed by at least one processor, and at least one is configured to: execute an intelligent calling method based on voiceprint recognition as shown in any possible implementation of the first aspect.

[0022] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium, when the computer program is executed in a computer, enables the computer to execute an intelligent calling method based on voiceprint recognition as described in any one of the first aspects.

[0023] In summary, the present application includes at least one of the following beneficial technical effects: When it is detected that multiple locations send out call instructions at the same time, it means that multiple patients need to be handled by staff at the same time. Therefore, the ongoing events, historical events and call logs of each location are obtained, so as to facilitate the subsequent determination of the urgency of each location, that is, the priority. If there is a first location where a vital sign monitoring event is being carried out, it means that the patient at such a location is in danger. Therefore, the vital sign data and the first audio information of the first location are obtained, and the first priority of each first location is determined based on the vital sign data and the ongoing events, historical events, call logs and the first audio information. Since the vital sign data, ongoing events, historical events, call logs and the first audio information are all key components for recording the specific conditions of the patients at the first location, the comprehensive judgment based on the above information can more accurately determine the priority of each first location. The first priority of the position. If there is a second position where no vital sign monitoring event is being conducted, it means that such patients do not need vital sign monitoring. It also means that such patients are safer and the possibility of emergency events is lower. Therefore, the second audio information is obtained and the priority of each second position can be accurately determined according to the current time, historical events, call logs and second audio information of the second position. After determining the first priority and the second priority, in order to make the staff handle the call needs more orderly, the appropriate number of target staff are determined according to the number of multiple locations called at the same time. Finally, the target position corresponding to each target staff is determined according to the first priority and the second priority, thereby facilitating the staff to handle the calls in an orderly manner when multiple patients call the staff at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a flow chart of an intelligent calling method based on voiceprint recognition in an embodiment of the present application.

[0025] Figure 2 It is a structural diagram of an intelligent calling device based on voiceprint recognition in an embodiment of the present application.

[0026] Figure 3 It is a structural schematic diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0027] The present application is further described in detail below in conjunction with the accompanying drawings.

[0028] After reading this specification, those skilled in the art may make non-creative modifications to this embodiment as needed, but such modifications are protected by patent law as long as they are within the scope of the claims of this application.

[0029] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0030] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0031] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0032] The embodiment of the present application provides an intelligent calling method based on voiceprint recognition, which is executed by an electronic device, which can be a server or a terminal device, wherein the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited thereto. The terminal device and the server can be directly or indirectly connected via wired or wireless communication, which is not limited in the embodiment of the present application. Figure 1 As shown, the method includes step S101, step S102, step S103, step S104 and step S105, wherein: S101, when it is detected that multiple locations send out call instructions at the same time, obtain the current events, historical events and call logs of each location.

[0033] For the embodiment of the present application, a call button is installed above each position. When a patient needs a staff member, the patient or the patient's family can press the call button. The call buttons of the entire department or the entire floor of the ward are connected to the nurse station, and the nurse station is equipped with a transponder, so that the call command issued by the position can be detected. The electronic device is connected to the pager, the transponder, and the integrated call answering system through a wire, so that the electronic device can detect the call instructions issued by multiple positions at the same time.

[0034] The events currently being conducted at each location, such as infusion, oxygen inhalation, and vital sign monitoring, are stored in the cloud server. The events that the patient corresponding to each location has undergone in the past are also stored in the cloud server. The specific circumstances of the use of the pager at each location are also stored in the cloud server, namely the call log. Therefore, electronic devices can obtain the current time, historical events, and call logs of each location from the cloud server.

[0035] S102: If there is a first position where a vital sign monitoring event is being performed, then obtain vital sign data and first audio information of each first position.

[0036] In the embodiment of the present application, the electronic device analyzes the events currently being conducted at multiple locations that are called simultaneously to determine the first location that is conducting a vital sign monitoring event. When patients conduct vital sign monitoring, they usually use a vital sign monitor. The electronic device and the vital sign monitor are connected by wires or wirelessly, so that the vital sign data of the first location can be obtained. The fact that the patient is conducting vital sign monitoring indicates that the patient is currently in danger and the possibility of an emergency is high. A microphone device or a pickup is installed above or around each location. The electronic device and the microphone device or the pickup are connected by wires to collect the first audio information of each first location. The first audio information records the voice information of each first location when the call instruction is initiated. The urgency of each first location can be analyzed based on the voice information.

[0037] S103 , determining a first priority of each first location based on the vital sign data and currently ongoing events, historical events, call logs, and first audio information of each first location.

[0038] For the embodiments of the present application, the historical events experienced by each first position can characterize the specific circumstances of events such as the treatment methods that the patient received in history. Therefore, the importance of the historical treatment of the patient in the first position can be analyzed based on the historical events. The higher the importance of the historical treatment, the higher the possibility that an emergency exists when calling the staff at the current time. The call log records the specific circumstances of the first position patient's calls to the staff in the past, such as the number of calls, etc. Similarly, the call log can be used to analyze the possibility that an emergency exists when the first position patient calls the staff at the current time. The first audio information records the voice information sent by the patient and his family when the first position patient issues a call instruction. The voice information is used to facilitate the analysis of the urgency of each first position. Therefore, the first priority of each first position can be accurately determined by combining the current ongoing events, historical events, call logs and the first audio information.

[0039] S104: If there are second locations where no vital sign monitoring events are being performed, the second audio information of each second location is obtained, and the second priority of each second location is determined based on the currently ongoing events, historical events, call logs and the second audio information of each second location.

[0040] For the embodiment of the present application, the electronic device determines the second position where no vital sign monitoring event is being conducted from the multiple positions that simultaneously issue the call command. The lack of vital sign monitoring indicates that the current vital signs of the patient at the second position are relatively stable and at a safe level, and the possibility of an emergency dangerous event is low. Similarly, the electronic device obtains the second audio information, and can accurately determine the second priority of each second position by combining the current events, historical events, call logs, and the second audio information at the second position.

[0041] It should be noted that the priority of the second position is lower than that of the first position, that is, the priority of the second position with the highest second priority is lower than that of the first position with the lowest first priority.

[0042] S105, determining the number of workers based on the number of the multiple positions, and determining target workers and a target position corresponding to each target worker based on the number of workers, the first priority, and the second priority.

[0043] For the embodiment of the present application, in order to facilitate orderly processing of multiple positions, the electronic device determines the number of appropriate staff members according to the number of multiple positions, and then comprehensively analyzes and determines the target staff members and the target position corresponding to each target staff member from the multiple staff members according to the determined number of staff members, the first priority and the second priority, thereby achieving the effect of facilitating the staff members to process in an orderly manner when multiple patients call the staff members at the same time. Furthermore, each target staff member can process the corresponding target position in an orderly manner according to the priority of the target position.

[0044] In a possible implementation of the embodiment of the present application, in step S103, the first priority of each first position is determined based on the vital sign data and the currently ongoing event, historical event, call log and first audio information of each first position, specifically including step 1, step 2, step 3, step 4, step 5, step 6, step 7, step 8, step 9, step 10, step 11 and step 12, wherein, Step 1: Determine the number of remaining events other than the vital sign monitoring events at each first location and the importance level of each remaining event.

[0045] For the embodiments of the present application, each event corresponds to an importance level, and the relevant personnel set the importance level corresponding to each event in advance on the visual operation interface. The higher the importance level, the more important the event is. For example, the importance level of the infusion event is level one, the importance level of the vital sign monitoring event is level two, and the importance level of the oxygen inhalation event is level three. The importance level of each event is stored in a local storage medium in the electronic device. The electronic device determines whether there are other events in each first position besides the vital sign monitoring event, such as infusion, oxygen inhalation, etc. At the same time, the more the number of ongoing events, the more serious the patient's current physical condition, the higher the possibility of an emergency, and the higher the priority required for staff to handle. Therefore, the electronic device counts the number of remaining events in each first position except the vital sign monitoring event, and determines the importance level of each remaining event.

[0046] Step 2: determining a first importance level average value based on the importance level of each remaining event.

[0047] For the embodiment of the present application, after the electronic device determines the importance level of each remaining event in the first position, the first importance level average value of each remaining event in the first position can be calculated through the average value calculation formula. The larger the first importance level average value is, the more important the event currently being conducted by the patient is, and the corresponding priority that needs to be handled by the staff is higher.

[0048] Step three, calculate the difference between each physical sign data and the corresponding standard physical sign data.

[0049] For the embodiment of the present application, after the electronic device obtains the vital sign data of each patient in the first position, it extracts each item of vital sign data, and each item of vital sign data corresponds to standard vital sign data, that is, vital sign data at a safe level. The electronic device calculates the difference between each item of vital sign data and the corresponding standard vital sign data. The larger the difference, the more dangerous the patient's condition is, and the higher the priority that needs to be handled by the staff.

[0050] Step 4: Determine a first score representing the importance of the current status of each first position based on the first importance level average value, the number of remaining events, and the difference corresponding to each vital sign data.

[0051] For the embodiments of the present application, in summary, the average value of the first importance level, the number of remaining events, and the difference corresponding to each vital sign data are all key factors affecting the importance of the current condition of the patient in the first position, and each factor has a different degree of influence on the importance of the current condition of the first position. Therefore, the staff can set the coefficients corresponding to the average value of the first importance level, the number of remaining events, and the difference corresponding to each vital sign data in advance. After the electronic device determines the average value of the first importance level, the number of remaining events, and the difference in vital sign data, it calls the corresponding coefficients for weighted calculation to obtain the first score of each first position. The larger the first score, the more the patient in the first position needs priority treatment by the staff.

[0052] Step 5: Determine the number of calls made by each first location and the time point of each call from the call log.

[0053] For the embodiment of the present application, each time the patient triggers the pager button, the electronic device records the time of each triggering, and the call log includes the number of calls and the time of each call, and may also include information such as the name of the staff member who answered the call. The more calls the patient has made, the more times in history the patient at the first location has encountered emergency situations or required staff to handle them, and therefore the greater the possibility of an emergency situation occurring at present.

[0054] Step six, determining the calling frequency of each first location based on the time point of each call.

[0055] For the embodiment of the present application, the electronic device calculates the calling frequency of each first-position patient based on the time point of each call. The higher the calling frequency, the higher the frequency of emergency situations of the patient. The possibility of an emergency situation occurring at the moment is greater, and the higher the priority required to be handled by the staff.

[0056] Step seven: determining a second score representing the importance of each first position in terms of calls based on the number of calls and the call frequency.

[0057] For the embodiment of the present application, in summary, the number of calls and the frequency of calls of the patient are both key factors affecting the importance of the patient in calling the staff, so the staff sets the corresponding coefficients for the number of calls and the frequency of calls, and the electronic device determines the number of calls and the frequency of calls and calls the corresponding coefficients for weighted calculation to obtain the second score for calling the staff. The higher the second score, the higher the priority of the patient in the first position for the staff to handle.

[0058] Step eight, determine the number of historical events and the importance level of each historical event from the historical events.

[0059] For the embodiment of the present application, historical events record the means of treatment used by the patient in the past, etc. The more historical events there are, the worse the patient's physical condition is, the more serious the condition is, and the higher the possibility of an emergency occurring at the moment. Therefore, the electronic device counts the historical events of each patient to obtain the number of historical events, and the electronic device determines the importance level of each historical event.

[0060] Step nine, determine the time period of each historical event from the historical events.

[0061] For the embodiment of the present application, when the patient performs each historical event, the staff will mark the start time and end time of each historical event, thereby obtaining the time period of each historical event.

[0062] Step ten: determining a third score representing the importance of the historical status of each first location based on the number of historical events, the importance level of each historical event, and the time period of each historical event.

[0063] For the embodiment of the present application, the number of historical events, the importance level of each historical event, and the time period of each historical event are all key factors affecting the importance of each patient's historical condition. Therefore, the electronic device comprehensively determines the third score for each patient's historical condition based on the number of historical events, the importance level of each historical event, and the time period.

[0064] Step eleven: determine a total score for each first position based on the first score, the second score, the third score and the first audio information.

[0065] For the embodiment of the present application, after the electronic device determines the first score, the second score and the third score, it analyzes the first audio information, that is, the electronic device can accurately determine the total score of each first position by combining the first score, the second score, the third score and the first audio information. The total score is determined by comprehensive analysis of multiple factors, and it is more accurate to use the total score to represent the priority of each first position.

[0066] Step 12: sort the total scores of each first position to obtain the priority of each first position.

[0067] For the embodiment of the present application, after the electronic device determines the total score of each first position, it sorts the total score in descending order to obtain a sorting result, and the sorting result can represent the priority of each first position.

[0068] In a possible implementation of the embodiment of the present application, in step 10, a third score characterizing the importance of the historical status of each first location is determined based on the number of historical events, the importance level of each historical event, and the time period of each historical event, specifically including step S1 (not shown in the figure), step S2 (not shown in the figure), step S3 (not shown in the figure), step S4 (not shown in the figure), step S5 (not shown in the figure), and step S6 (not shown in the figure), wherein: S1, determining a second importance level average value based on the importance level of each historical event.

[0069] For the embodiment of the present application, after the electronic device determines the importance level of each historical event, it calculates the second importance level average value through the average value calculation formula, and uses the second importance level average value to more accurately characterize the overall level of each historical event at the first position. The higher the second importance level average value, the more important the event in the patient's historical treatment process is, which further indicates that the patient's condition in the historical event is poor, and the possibility of an emergency situation is high, so the priority that needs to be handled by the staff is higher.

[0070] S2: Determine the number of times the event progress times overlap based on the progress time period of each historical event.

[0071] For the embodiment of the present application, after the electronic device determines the time period of each historical event, it can map the time period of each historical event on the preset time axis, thereby determining the number of times that events overlap. The more times events overlap, the more times the patient has multiple events at the same time, which in turn indicates that the patient's condition during the historical treatment process is poor, the higher the possibility of an emergency at present, and the higher the priority that needs to be handled by the staff.

[0072] S3, determining the number of historical events that are simultaneously performed during each overlap, and the importance levels of the historical events that are simultaneously performed during each overlap, and determining a third importance level average value.

[0073] For the embodiment of the present application, after the electronic device maps the time period of each historical event on the preset timeline, it can determine the number of historical events that are carried out simultaneously each time an event overlaps. The more historical events that are carried out simultaneously, the worse the patient's physical condition during historical treatment, the higher the possibility of an emergency at present, and the higher the priority required for staff to handle. The electronic device calculates the third importance level average value of the importance level of the historical events that are carried out simultaneously during each overlap through the average value calculation formula. The higher the third importance level average value, the more important the event that is carried out during each overlap, which indirectly indicates that the patient's condition is poor at each time when the historical events overlap, the higher the possibility of an emergency at present, and the higher the priority required for staff to handle.

[0074] S4, determining a first sub-score representing the importance of each overlap based on the number of historical events that are performed simultaneously and the third importance level average value.

[0075] For the embodiment of the present application, the number of historical events carried out at the same time and the average value of the third importance level are both key factors affecting the importance of each overlap of the patient. Therefore, the relevant personnel set the coefficients corresponding to the number of historical events carried out at the same time and the average value of the third importance level. After the electronic device determines the number of historical events carried out at the same time and the average value of the third importance level, it calls the corresponding coefficients for weighted calculation to determine the first sub-score for each overlap. The larger the first sub-score, the more important each overlap is, and the worse the corresponding patient condition is.

[0076] S5, summing up the first sub-scores at each overlap to obtain a total first sub-score.

[0077] For the embodiment of the present application, after the electronic device determines the first sub-score at each overlap, the first sub-scores at all overlaps are summed to obtain the total first sub-scores. The larger the total first score is, the more important the historical events of the patient during the historical treatment and the worse the patient's condition is, the greater the possibility of an emergency occurring at present, and the higher the priority that needs to be handled by the staff.

[0078] S6, determining a third score for each first position based on the number of historical events, the average value of the second importance level, the number of overlaps, and the sum of the first sub-scores.

[0079] For the embodiment of the present application, in summary, the number of historical events, the average value of the second importance level, the number of overlaps, and the sum of the first sub-scores are all key factors that affect the physical condition of each first position during the historical treatment process and the importance of receiving historical events. The staff sets the corresponding coefficients for the number of historical events, the average value of the second importance level, the number of overlaps, and the sum of the first sub-scores. After the electronic device determines the above four factors, it calls the corresponding coefficients for weighted calculation to determine the third score of each first position. It is more accurate to determine the number of historical events, the average value of the second importance level, and other characteristics by analyzing the historical events and comprehensively calculating the third score.

[0080] In a possible implementation of the embodiment of the present application, in step eleven, the total score of each first position is determined based on the first score, the second score, the third score and the first audio information, specifically including step S7 (not shown in the figure), step S8 (not shown in the figure), step S9 (not shown in the figure) and step S10 (not shown in the figure), wherein: S7: denoise the first audio information to obtain first denoised audio information.

[0081] For the embodiment of the present application, the electronic device performs denoising processing on the first audio information through IIR filtering or FIR filtering to obtain first denoised audio information. The denoising processing on the first audio information improves the accuracy of subsequent analysis.

[0082] S8, inputting the first denoised audio information into a trained network model for tone recognition, thereby obtaining a first tone of the first audio information corresponding to each first position.

[0083] For the embodiment of the present application, the first audio information includes the specific content of the patient and / or the patient's family members speaking, that is, voice information. The electronic device inputs the first denoised audio information into the trained network model for tone recognition, and finally obtains the first tone of the first audio information corresponding to each first position, and the first tone includes calm, eager, flustered, etc. Specifically, the electronic device can extract useful features such as pitch, sound intensity, speech speed, rhythm, etc. from the first denoised audio signal, which helps to identify and classify different tones. The electronic device then trains the extracted features using a machine learning or deep learning model so that the model can recognize patterns of different tones. Relevant personnel can collect and prepare a training sample set in advance, that is, a large amount of labeled data to train the model. The electronic device then applies the trained model to the new audio data, that is, the first denoised audio information, to identify the tone therein. The network model can be a convolutional neural network model, a recurrent neural network model, or other types of network models.

[0084] S9, determining a fourth score of each first position based on the first tone.

[0085] For the embodiment of the present application, different tones correspond to different scores, that is, different fourth scores. Relevant personnel can set scores corresponding to different tones according to actual conditions and needs and store them in the electronic device. After the electronic device determines the first tone, it can determine the fourth score corresponding to the first tone. The more anxious and impatient the tone is, the higher the corresponding fourth score will be.

[0086] S10, summing the first score, the second score, the third score and the fourth score to obtain a total score for each first position.

[0087] For the embodiment of the present application, in summary, after the electronic device determines the first score, the second score, the third score and the fourth score, the first score, the second score, the third score and the fourth score of each first position are summed to obtain the total score of each first position. It is more accurate to determine the total score of each first position through comprehensive analysis of the current event, historical events, call logs and the first audio information.

[0088] In a possible implementation manner of the embodiment of the present application, in step S104, the second priority of each second position is determined based on the currently ongoing event, historical event, call log and second audio information of each second position, specifically including step Sa (not shown in the figure), step Sb (not shown in the figure), step Sc (not shown in the figure), step Sd (not shown in the figure), step Sc (not shown in the figure), step Sd (not shown in the figure), step Se (not shown in the figure), step Sf (not shown in the figure), step Sg (not shown in the figure), step Sh (not shown in the figure), step Si (not shown in the figure), step Sj (not shown in the figure), step Sk (not shown in the figure), step Sl (not shown in the figure), step Sm (not shown in the figure), step Sn (not shown in the figure), step So (not shown in the figure), step Sp (not shown in the figure) and step Sq (not shown in the figure), wherein, Step Sa, determining the number of events currently being conducted at each second location and the importance level of each event.

[0089] Step Sb: determining a fourth importance level average value based on the importance level of each event.

[0090] Step Sc, determining a fifth score characterizing the importance of the current status of each second location based on the fourth importance level average value and the number of times currently in progress.

[0091] For the embodiment of the present application, since the second position does not involve vital sign data, the electronic device can process steps Sa to Sc according to the contents disclosed in steps one to four except for the relevant content corresponding to the difference value corresponding to each item of vital sign data, so as to obtain the fifth score of the importance of the current status of each second position, which will not be repeated here.

[0092] Step Sd: determining the number of calls to each second location and the time point of each call from the call log.

[0093] Step Se, determining the calling frequency of each second location based on the time point of each call.

[0094] Step Sf, determining a sixth score characterizing the importance of each second location in terms of calls based on the number of calls and the call frequency.

[0095] For the embodiment of the present application, since the second location also has a call log, the electronic device processes the call log of the second location according to the contents disclosed in steps five to seven, thereby obtaining a second score of the importance of each second location in terms of calls, which will not be repeated here.

[0096] Step Sg: determining a fifth importance level average value based on the importance levels of the historical events at each second location.

[0097] Step Sh: determining the number of times the event progress times overlap based on the progress time periods of the historical events at each second location.

[0098] Step S1, determining the number of historical events that are carried out simultaneously during each overlap, and the importance level of the historical events that are carried out simultaneously during each overlap, and determining the sixth importance level average value.

[0099] Step Sj: determining a second sub-score representing the importance of each overlap based on the number of historical events that are carried out simultaneously and the average value of the sixth importance level.

[0100] Step Sk, summing up the sub-scores at each overlap to obtain a second sub-score sum.

[0101] Step S1, determining the seventh score of each second position based on the number of historical events of the second position, the average value of the fifth importance level, the number of overlaps, and the sum of the second sub-scores.

[0102] For the embodiment of the present application, since the second location also stores historical events, the electronic device can process the historical events of the second location according to the contents disclosed in steps S1 to S6, thereby obtaining the seventh score of each second location regarding historical events, which will not be repeated here.

[0103] Step Sm: denoising the second audio information to obtain second denoised audio information.

[0104] Step Sn: input the second denoised audio information into the trained network model for tone recognition, so as to obtain the second tone of the second audio information corresponding to each second position.

[0105] Step So, determining the eighth score of each second position based on the second tone.

[0106] Step Sp, summing the fifth score, the sixth score, the seventh score and the eighth score to obtain a total score for each second position.

[0107] For the embodiment of the present application, since there is also audio information at the second position, that is, the second audio information, the electronic device can process the second audio information of each second position according to the contents disclosed in steps S7 to S10, and determine the eighth score of each second position with respect to the first audio information, which will not be described in detail here. After the electronic device determines the fifth score, the sixth score, the seventh score, and the eighth score of each second position, the fifth score, the sixth score, the seventh score, and the eighth score are summed to obtain the total score of each second position.

[0108] Step Sq: sorting the total score of each second position to obtain the priority of each second position.

[0109] For the embodiment of the present application, after the electronic device determines the total score of each second position, it sorts the total score in descending order to obtain a sorting result, and the sorting result can represent the priority of each second position.

[0110] In a possible implementation of the embodiment of the present application, the number of staff members is determined based on the number of multiple positions in step S105, which specifically includes step S1051 (not shown in the figure) and step S1052 (not shown in the figure), wherein: S1051, determining a target preset quantity interval in which quantities of multiple locations are located from multiple preset quantity intervals.

[0111] Each preset quantity interval corresponds to a preset number of staff members.

[0112] S1052: Determine the preset number of the target preset number interval as the number of staff members.

[0113] For the embodiment of the present application, relevant personnel can set a plurality of preset number intervals in advance. After the electronic device determines the number of multiple positions, it compares the number of multiple positions with each preset number interval, thereby determining the preset number interval in which the number of multiple positions falls, that is, the target preset number interval. Relevant personnel can set the preset number of staff members corresponding to each preset number interval according to actual conditions or needs. For example, the preset number of staff members corresponding to the number of positions from one to three is one, and the preset number of staff members corresponding to the number of positions from four to six is ​​two. After the electronic device determines the target preset number interval where the multiple positions are located, it determines the preset number of staff members corresponding to the target preset number interval as the number of staff members required corresponding to the multiple positions. It is accurate and convenient to determine the appropriate number of staff members by comparing the number of multiple positions with multiple preset number intervals.

[0114] In a possible implementation of the embodiment of the present application, in step S105, the target workers and the target position corresponding to each target worker are determined based on the number of workers, the first priority and the second priority, and specifically include step S1053 (not shown in the figure), step S1054 (not shown in the figure), step S1055 (not shown in the figure) and step S1056 (not shown in the figure), wherein: S1053, obtaining the names of the historically responsible staff members corresponding to each of the multiple positions, and determining the preferred staff member corresponding to each position.

[0115] For the embodiment of the present application, since the staff member in charge corresponding to the patient at each location may change during the historical treatment process or may correspond to multiple staff members in charge, the electronic device obtains the name of the historical staff member in charge corresponding to each location. For a patient at a certain location, the electronic device determines that the historical staff members in charge corresponding to the patient are a, b, and c. The electronic device can determine the proportion of historical events corresponding to the three staff members a, b, and c from the historical events of the patient, and determine the staff member with the highest proportion as the patient's preferred staff member, who is more familiar with the patient's specific situation.

[0116] S1054: Determine a total priority ranking result of the multiple positions based on the first priority and the second priority.

[0117] For the embodiment of the present application, after the electronic device determines the first priority of the first position and the second priority of the second position, the second priority of the second position is transferred behind the first position with the lowest first priority to obtain the total priority sorting result of multiple positions that simultaneously trigger the call instruction.

[0118] S1055, dividing the total priority sorting result according to the number of staff members to obtain position groupings consistent with the number of staff members.

[0119] For the embodiment of the present application, after the electronic device determines the number of staff, a numerical value can be obtained by dividing the number of multiple positions by the number of staff. The total priority sorting result is divided by the numerical value to obtain the Acura position grouping. The position grouping is consistent with the determined number of staff, that is, one staff member manages patients in one position group.

[0120] S1056, determining the preferred staff member with the most appearance times from each position group, and determining the staff member with the most appearance times as the target staff member corresponding to each position group, and the position in the position group is the target position corresponding to the target staff member.

[0121] For the embodiment of the present application, after the electronic device determines each position group, it determines all the preferred staff members in each position group, and determines the preferred staff members who appear the most times in each position group. The staff members who appear the most times are more familiar with the conditions of most patients in this position group and are suitable for processing the patients in this position group. Therefore, the staff members who appear the most times can be determined as the target staff members in the corresponding position group. The position in the corresponding position group is the target position. The target staff members determined in the above manner are more accurate and more suitable for most patients in the position group. After the electronic device determines the target position corresponding to each target staff member, it sends the priority of the target position to the terminal device of the target staff member or the display device of the nurse station, so as to facilitate the target staff members to process the patients in order in turn.

[0122] The above embodiment introduces an intelligent calling method based on voiceprint recognition from the perspective of method flow. The following embodiment introduces an intelligent calling device based on voiceprint recognition from the perspective of a virtual module or a virtual unit. Please refer to the following embodiment for details.

[0123] The embodiment of the present application provides an intelligent calling device 20 based on voiceprint recognition, such as Figure 2 As shown, the intelligent calling device 20 based on voiceprint recognition may specifically include: The first acquisition module 201 is used to acquire the current events, historical events and call logs of each location when it is detected that multiple locations send out call instructions at the same time; The second acquisition module 202 is used to acquire the vital sign data and the first audio information of each first position when there is a first position in which a vital sign monitoring event is being performed; A first determination module 203, configured to determine a first priority of each first location based on the vital sign data and a currently ongoing event, a historical event, a call log, and a first audio information of each first location; A second determination module 204 is used to obtain second audio information of each second location when there is a second location that is not currently performing a vital sign monitoring event, and determine a second priority of each second location based on the currently ongoing event, historical events, call logs, and the second audio information of each second location; The third determination module 205 is used to determine the number of workers based on the number of multiple positions, and determine the target workers and the target position corresponding to each target worker based on the number of workers, the first priority and the second priority.

[0124] The embodiment of the present application discloses an intelligent calling device 20 based on voiceprint recognition, wherein when it is detected that multiple locations send out calling instructions at the same time, it means that multiple patients need to be processed by staff at the same time, so the first acquisition module 201 obtains the current events, historical events and call logs of each location, so as to facilitate the subsequent determination of the urgency of each location, that is, the priority. If there is a first location where a vital sign monitoring event is being carried out, it means that the patient at such a location is more dangerous, so the second acquisition module 202 obtains the vital sign data and the first audio information of the first location, and the first determination module 203 determines the first priority of each first location according to the vital sign data and the ongoing events, historical events, call logs and the first audio information. Since the vital sign data, the ongoing events, the historical events, the call logs and the first audio information are all key components for recording the specific conditions of the patients at the first location, according to the above The comprehensive judgment of the above information can more accurately determine the first priority of each first position. If there is a second position where no vital sign monitoring event is being performed, it means that such patients do not need vital sign monitoring, which also means that such patients are safer and the possibility of emergency events is lower. Therefore, the second determination module 204 obtains the second audio information and can accurately determine the priority of each second position based on the current time, historical events, call logs and second audio information of the second position. After determining the first priority and the second priority, in order to make the staff handle the call needs more orderly, the third determination module 205 determines the appropriate number of target staff according to the number of multiple locations called at the same time, and finally determines the target position corresponding to each target staff according to the first priority and the second priority, thereby facilitating the staff to handle the calls in an orderly manner when multiple patients call the staff at the same time.

[0125] In a possible implementation of the embodiment of the present application, when the first determination module 203 determines the first priority of each first location based on the vital sign data and the currently ongoing event, historical event, call log, and first audio information of each first location, it is specifically used to: determining the number of remaining events other than the vital sign monitoring events at each first location and the importance level of each remaining event; determining a first importance level average based on the importance level of each remaining event; Calculate the difference between each physical sign data and the corresponding standard physical sign data; Determine a first score representing the importance of the current condition of each first position based on the first importance level average value, the number of remaining events, and the difference corresponding to each vital sign data; Determining from the call log the number of calls to each first location and the time of each call; determining a calling frequency of each first location based on a time point when each call was made; Determining a second score representing the importance of each first position in terms of calling based on the number of calls and the calling frequency; Determine from the historical events the number of historical events and the level of importance of each historical event; Determine the time period of each historical event from historical events; Determine a third score representing the importance of the historical status of each first location based on the number of historical events, the importance level of each historical event, and the time period of each historical event; Determine a total score for each first position based on the first score, the second score, the third score, and the first audio information; The total score of each first position is sorted to obtain the priority of each first position.

[0126] In a possible implementation of the embodiment of the present application, when the first determination module 203 determines the third score representing the importance of the historical status of each first location based on the number of historical events, the importance level of each historical event, and the time period of each historical event, it is specifically used to: Determine a second importance level average value based on the importance level of each historical event; Determine the number of times the event time overlaps based on the time period of each historical event; Determine the number of historical events that are simultaneously carried out during each overlap, and the importance level of the historical events that are simultaneously carried out during each overlap, and determine the third importance level average value; Determine a first sub-score representing the importance of each overlap based on the number of historical events that are carried out simultaneously and the third importance level average value; Summing the first sub-scores at each overlap to obtain a first sub-score sum; A third score for each first position is determined based on the number of historical events, the average second importance level, the number of overlaps, and the sum of the first sub-scores.

[0127] In a possible implementation manner of the embodiment of the present application, when the first determination module 203 determines the total score of each first position based on the first score, the second score, the third score and the first audio information, it is specifically used to: Performing denoising on the first audio information to obtain first denoised audio information; Inputting the first denoised audio information into the trained network model for tone recognition, thereby obtaining a first tone of the first audio information corresponding to each first position; Determining a fourth score for each first position based on the first tone; The first score, the second score, the third score, and the fourth score are summed to obtain a total score for each first position.

[0128] In a possible implementation of the embodiment of the present application, when the second determination module 204 determines the second priority of each second location based on the currently ongoing event, historical event, call log, and second audio information of each second location, it is specifically configured to: determining a number of events currently ongoing at each second location and an importance level of each event; Determining a fourth importance level average based on the importance level of each event; determining a fifth score representing the importance of the current status of each second location based on the fourth importance level average value and the amount of time currently in progress; determining from the call log the number of calls to each second location and the time of each call; determining a calling frequency at each second location based on a time point when each call was made; Determining a sixth score representing the importance of each second position in terms of calling based on the number of calls and the calling frequency; determining a fifth importance level average based on the importance levels of historical events at each second location; Determine the number of times that the event progress times overlap based on the progress time periods of the historical events at each second location; Determine the number of historical events that are simultaneously carried out during each overlap, and the importance level of the historical events that are simultaneously carried out during each overlap and determine the sixth importance level average value; Determine a second sub-score representing the importance of each overlap based on the number of historical events that are carried out simultaneously and the average value of the sixth importance level; Summing the sub-scores at each overlap to obtain a second sub-score sum; determining a seventh score for each second position based on the number of historical events at the second position, the fifth importance level average, the number of overlaps, and the second sub-score sum; De-noising the second audio information to obtain second de-noised audio information; Inputting the second denoised audio information into the trained network model for tone recognition, thereby obtaining the second tone of the second audio information corresponding to each second position; Determining an eighth score of each second position based on the second mood; The fifth score, the sixth score, the seventh score, and the eighth score are summed to obtain a total score for each second position; The total score of each second position is sorted to obtain the priority of each second position.

[0129] In a possible implementation of the embodiment of the present application, when the third determination module 205 determines the number of staff members based on the number of multiple positions, it is specifically configured to: Determine a target preset quantity interval where the quantities of the multiple locations are located from a plurality of preset quantity intervals, each preset quantity interval corresponding to a preset number of staff members; The preset number of the target preset number interval is determined as the number of staff members.

[0130] In a possible implementation of the embodiment of the present application, when the third determination module 205 determines the target worker and the target position corresponding to each target worker based on the number of workers, the first priority and the second priority, it is specifically used to: Obtain the names of the historically responsible staff members corresponding to each of the multiple positions, and determine the preferred staff member corresponding to each position; Determine a total priority ranking result of the plurality of locations based on the first priority and the second priority; The total priority sorting results are divided according to the number of staff members to obtain position groups consistent with the number of staff members; Determine the preferred staff member with the most appearances from each position group, and determine the staff member with the most appearances as the target staff member corresponding to each position group, and the position in the position group is the target position corresponding to the target staff member.

[0131] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the intelligent calling device 20 based on voiceprint recognition described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0132] An electronic device is provided in an embodiment of the present application, such as Figure 3 As shown, Figure 3 The electronic device 30 shown includes: a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, such as through a bus 302. Optionally, the electronic device 30 may also include a transceiver 304. It should be noted that in actual applications, the transceiver 304 is not limited to one, and the structure of the electronic device 30 does not constitute a limitation on the embodiments of the present application.

[0133] The processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. The processor 301 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0134] The bus 302 may include a path to transmit information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 302 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but it does not mean that there is only one bus or only one type of bus.

[0135] The memory 303 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0136] The memory 303 is used to store the application code for executing the solution of the present application, and the execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the contents shown in the above method embodiment.

[0137] The electronic devices include, but are not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), and fixed terminals such as digital TVs, desktop computers, etc. It can also be a server, etc. Figure 3 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0138] The embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer-readable storage medium is run on a computer, the computer can execute the corresponding content in the aforementioned method embodiment. Compared with the related art, in the embodiment of the present application, when it is detected that multiple locations send out call instructions at the same time, it means that multiple patients need to be processed by staff at the same time. Therefore, the events, historical events and call logs currently in progress at each location are obtained, so as to facilitate the subsequent determination of the urgency of each location, that is, the priority. If there is a first location where a vital sign monitoring event is in progress, it means that the patient at such a location is more dangerous. Therefore, the vital sign data and the first audio information of the first location are obtained, and the first priority of each first location is determined based on the vital sign data and the ongoing events, historical events, call logs and the first audio information. Since the vital sign data, ongoing events, historical events, call logs and the first audio information are all key components for recording the specific conditions of the patients at the first location, the comprehensive judgment based on the above information can be more accurate. The first priority of each first position is determined. If there is a second position where no vital sign monitoring event is being performed, it means that such patients do not need vital sign monitoring, which also means that such patients are safer and the possibility of emergency events is lower. Therefore, the second audio information is obtained and the priority of each second position can be accurately determined according to the current time, historical events, call logs and second audio information of the second position. After determining the first priority and the second priority, in order to make the staff handle the call needs more orderly, the appropriate number of target staff members are determined according to the number of multiple locations called at the same time. Finally, the target position corresponding to each target staff member is determined according to the first priority and the second priority, thereby facilitating the staff to handle the calls in an orderly manner when multiple patients call the staff at the same time.

[0139] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0140] The above description is only a partial implementation method of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. An intelligent calling method based on voiceprint recognition, characterized in that: include: When it is detected that multiple locations issue call instructions at the same time, obtain the current events, historical events and call logs of each location; If there is a first position where a vital sign monitoring event is being performed, obtaining vital sign data and first audio information of each first position; Determine a first priority of each first location based on the vital sign data and currently ongoing events, historical events, call logs, and first audio information of each first location; If there are second locations where no vital sign monitoring event is being performed, obtaining second audio information of each second location, and determining a second priority of each second location based on the currently ongoing event, historical events, call logs, and second audio information of each second location; The number of workers is determined based on the number of the multiple positions, and target workers and a target position corresponding to each target worker are determined based on the number of workers, the first priority, and the second priority.

2. According to claim 1, the intelligent calling method based on voiceprint recognition is characterized in that: The determining the first priority of each first location based on the vital sign data and the currently ongoing events, historical events, call logs, and first audio information of each first location comprises: determining the number of remaining events other than the vital sign monitoring events at each first location and the importance level of each remaining event; determining a first importance level average value based on the importance level of each of the remaining events; Calculate the difference between each physical sign data and the corresponding standard physical sign data; Determine a first score representing the importance of the current condition of each first position based on the first importance level average value, the number of remaining events, and the difference corresponding to each vital sign data; Determining from the call log the number of calls made by each first location and the time of each call; Determining a calling frequency of each first location based on a time point of each calling; Determine a second score representing the importance of each first position in terms of calls based on the number of calls and the call frequency; Determining the number of historical events and the importance level of each historical event from the historical events; Determine the time period of each historical event from the historical events; Determine a third score representing the importance of each first location historical status based on the number of historical events, the importance level of each historical event, and the time period of each historical event; Determine a total score for each first position based on the first score, the second score, the third score, and the first audio information; The total score of each first position is sorted to obtain the priority of each first position.

3. According to claim 2, the intelligent calling method based on voiceprint recognition is characterized in that: The determining of the third score representing the importance of the historical status of each first location based on the number of historical events, the importance level of each historical event, and the time period of each historical event includes: Determine a second importance level average value based on the importance level of each historical event; Determine the number of times the event progress times overlap based on the progress time period of each historical event; Determine the number of historical events that are simultaneously carried out during each overlap, and the importance level of the historical events that are simultaneously carried out during each overlap, and determine the third importance level average value; Determine a first sub-score representing the importance of each overlap based on the number of the historical events that are carried out simultaneously and the third importance level average value; Summing the first sub-scores at each overlap to obtain a first sub-score sum; A third score for each first position is determined based on the number of historical events, the second importance level average, the number of overlaps, and the sum of the first sub-scores.

4. According to claim 2, the intelligent calling method based on voiceprint recognition is characterized in that: The determining of the total score of each first position based on the first score, the second score, the third score and the first audio information comprises: Performing denoising on the first audio information to obtain first denoised audio information; Inputting the first denoised audio information into a trained network model for tone recognition, thereby obtaining a first tone of the first audio information corresponding to each first position; Determine a fourth score for each first position based on the first tone; The first score, the second score, the third score and the fourth score are summed to obtain a total score for each first position.

5. The intelligent calling method based on voiceprint recognition according to claim 1, characterized in that: The determining the second priority of each second location based on the currently ongoing event, historical events, call logs, and second audio information of each second location comprises: determining a number of events currently ongoing at each second location and an importance level of each event; determining a fourth importance level average value based on the importance level of each event; Determine a fifth score representing the importance of the current status of each second location based on the fourth importance level average value and the amount of time currently in progress; Determining from the call log the number of calls made to each second location and the time of each call; Determining a calling frequency of each second location based on a time point of each calling; Determine a sixth score representing the importance of each second location in terms of calls based on the number of calls and the call frequency; determining a fifth importance level average value based on the importance levels of historical events at each second location; Determine the number of times that event progress times overlap based on the progress time periods of the historical events at each second location; Determine the number of historical events that are simultaneously carried out during each overlap, and the importance level of the historical events that are simultaneously carried out during each overlap and determine the sixth importance level average value; Determine a second sub-score representing the importance of each overlap based on the number of the simultaneously performed historical events and the sixth importance level average value; Summing the sub-scores at each overlap to obtain a second sub-score sum; determining a seventh score for each second location based on the number of historical events at the second location, the fifth importance level average, the number of overlaps, and the second sub-score sum; Performing denoising on the second audio information to obtain second denoised audio information; Inputting the second denoised audio information into a trained network model for tone recognition, thereby obtaining a second tone of the second audio information corresponding to each second position; determining an eighth score of each second position based on the second tone; Summing the fifth score, the sixth score, the seventh score and the eighth score to obtain a total score for each second position; The total score of each second position is sorted to obtain the priority of each second position.

6. The intelligent calling method based on voiceprint recognition according to claim 1, characterized in that: The determining the number of workers based on the number of the plurality of locations comprises: Determine a target preset quantity interval in which the quantities of the plurality of locations are located from a plurality of preset quantity intervals, each preset quantity interval corresponding to a preset number of staff members; The preset number of the target preset number interval is determined as the number of the staff.

7. The intelligent calling method based on voiceprint recognition according to claim 1, characterized in that: The determining of the target workers and the target position corresponding to each target worker based on the number of the workers, the first priority and the second priority includes: Obtain the names of the historically responsible staff members corresponding to the multiple positions, and determine the preferred staff member corresponding to each position; Determine a total priority ranking result of the plurality of locations based on the first priority and the second priority; Dividing the total priority sorting result according to the number of the staff members to obtain position groupings consistent with the number of the staff members; The preferred staff member with the most appearance times is determined from each position group, and the staff member with the most appearance times is determined as the target staff member corresponding to each position group, and the position in the position group is the target position corresponding to the target staff member.

8. An intelligent calling device based on voiceprint recognition, characterized in that: include: A first acquisition module is used to acquire the current events, historical events and call logs of each location when it is detected that multiple locations send out call instructions at the same time; A second acquisition module is used to acquire the vital sign data and the first audio information of each first position when there is a first position in which a vital sign monitoring event is being performed; A first determination module, configured to determine a first priority of each first location based on the vital sign data and a currently ongoing event, a historical event, a call log, and a first audio information of each first location; A second determination module is used to obtain second audio information of each second location when there is a second location where no vital sign monitoring event is being performed, and determine a second priority of each second location based on the currently ongoing event, historical events, call logs and second audio information of each second location; The third determination module is used to determine the number of workers based on the number of the multiple positions, and determine the target workers and the target position corresponding to each target worker based on the number of workers, the first priority and the second priority.

9. An electronic device, characterized in that: It includes: at least one processor; Memory; At least one application, wherein the at least one application is stored in the memory and is configured to be executed by the at least one processor, and the at least one application is used to execute an intelligent calling method based on voiceprint recognition according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed in a computer, the computer is caused to execute the intelligent calling method based on voiceprint recognition as described in any one of claims 1 to 7.

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