Intelligent dispatching system for hospital logistics transportation

Abstract

The invention belongs to the technical field of Internet of Things information, and particularly relates to a hospital logistics transportation intelligent scheduling system which comprises a system overall framework and a transportation business transfer process, the system overall framework is divided into six layers, the first layer is infrastructure, the infrastructure comprises LINUX series and Centos7.5 * 64 +, and the second layer is database and storage service. The system has the advantages that all kinds of data of a hospital are stored at a hospital end, the data safety and hospital autonomy are higher, transportation scheduling operated according to a model is more intelligent, precise and digitized, the system can monitor the waybill process, and the system is more intelligent. And voice broadcasting is carried out on the computer of the dispatching center on the abnormal conditions that the conveying duration exceeds the standard and the position of the conveying personnel does not move for a long time in the conveying process, data abnormity and behavior abnormity in the process are reminded in real time, and the real-time performance of process optimization is ensured.

Description

Technical Field

[0001] The present invention relates to the field of Internet of Things information technology, and in particular to an intelligent dispatching system for hospital logistics transportation. Background Art

[0002] As the hospital's information construction level becomes higher and higher, the overall operation efficiency of the hospital is accelerated.

[0003] At present, most hospitals lack information technology for logistics transportation, and still use simple manual transportation + walkie-talkie and other primitive management methods, which will cause many defects, such as:

[0004] Untimely transportation prolongs the patient's medical treatment time, reduces the quality of the specimen, and may even lead to the possibility of misdiagnosis;

[0005] If cleaning work is not done in a timely manner, cross infection may occur;

[0006] If equipment maintenance is not timely, there will be potential accident hazards and risks to the safe operation of the equipment;

[0007] The processing and feedback of logistics workflows have not formed an effective closed loop, and there is room for improvement in efficiency;

[0008] The management of various logistics processes remains at the paper stage. On the one hand, logistics work is not transparent, which affects the satisfaction of clinical departments; on the other hand, the lack of information tools makes it difficult to supervise the logistics work process.

[0009] To solve the above problems, we proposed an intelligent scheduling system for hospital logistics transportation. Summary of the invention

[0010] The purpose of the present invention is to solve the problems in the background technology and to propose an intelligent scheduling system for hospital logistics transportation.

[0011] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: a hospital logistics transportation intelligent dispatching system, including the overall system architecture and transportation business transfer process, the overall system architecture is divided into six layers, the first layer is the infrastructure, the infrastructure includes LINUX series and Centos7.5 x64+, the second layer is the database and storage service, which includes Redis, MySOL and Zookeeper, the third layer is the application development framework, which includes the VUE overall framework. On the basis of the VUE technical framework, the user center module, transportation process tracking, transportation task scheduling, basic data module and quality control module are developed through SpringBoot, Mybatis, Druid, Logback and Tomcat technical frameworks, wherein the user center module, transportation process tracking, transportation task scheduling, basic data module and quality control module belong to the fourth layer, the fifth layer is the Nginx load balancing configuration method, the sixth layer is the application system, the application system includes transportation-end applications and scientific research-end applications, the first and second layers in the overall system architecture belong to the server side, the server side and the user side establish a data connection, the transportation business transfer process body includes four stages: automatic generation of transportation task orders, waybill allocation, waybill distribution and delivery completion, and the four process stages all contain corresponding data processing processes.

[0012] In the above-mentioned hospital logistics transportation intelligent scheduling system, the automatically generated transportation task order includes waybills automatically generated by data connectivity of in-hospital medical, pharmaceutical, appointment and other systems, manually added waybills and waybills generated by issuance / transfer.

[0013] In the above-mentioned hospital logistics transportation intelligent scheduling system, the data processing process includes data management and data analysis. The data management includes hospital campus management, hospital department management, Bluetooth beacon management, system user management, and transportation-related dimension management. The data analysis includes three parts: big data display center, transportation personnel efficiency analysis, and abnormal waybill analysis.

[0014] In the above-mentioned intelligent dispatching system for hospital logistics transportation, during the data analysis process, the waybill process is monitored, voice broadcasts are made for situations where the transportation time exceeds the standard and the transportation personnel's position is abnormal, and real-time feedback is provided for abnormal situations of other transmission systems such as pneumatic pipelines, rail logistics, and logistics distribution robots.

[0015] In the above-mentioned intelligent dispatching system for hospital logistics transportation, during the process stage of personnel distribution, the position of the transportation personnel and the pneumatic pipeline transportation system, rail logistics transportation system and logistics distribution robots are positioned and monitored.

[0016] In the above-mentioned hospital logistics transportation intelligent dispatching system, the positioning monitoring is the employee handheld terminal + WiFi positioning and Bluetooth beacon positioning to provide real-time feedback on the employee's specific location.

[0017] In the above-mentioned hospital logistics transportation intelligent scheduling system, the user terminal displays different interfaces according to different user permissions. User types include decision maker users, supervisor users and business users. The user terminal interface of the decision maker user is the management center interface, the user terminal interface of the supervisor user is the operation and maintenance center interface, and the user terminal interface of the business user is the surgical business issuance interface, the nursing center feedback page, and the transportation task flow interface.

[0018] Compared with the existing technology, the advantages of this hospital logistics transportation intelligent dispatching system are:

[0019] 1. It mainly adopts local deployment within the hospital. The hospital-side deployment mode is that the ecological platform and all business subsystems are deployed in the hospital's internal network, using the physical or virtual servers provided by the hospital. Hospital users access the intranet IP or domain name using the ecological platform and authorized business subsystems. All types of hospital data are stored on the hospital side, with higher data security and hospital autonomy.

[0020] 2. In the intelligent dispatch of waybills, the transport dispatch model is defined in six dimensions: personnel skills, waybill type, target area, terminal area, personnel stationing point, and personnel location. The defined model can more effectively assign transport tasks intelligently, and the transport dispatch based on the model is more intelligent, precise, and digital.

[0021] 3. The system will monitor the waybill process, and make voice broadcasts on the dispatch center computer for abnormal situations such as excessive delivery time and the delivery personnel not moving for a long time during delivery. It will also provide real-time reminders for data anomalies and behavioral anomalies in the process to ensure the real-time optimization of the process. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 Provide business operation flow chart for this system;

[0023] Figure 2 This is the architecture diagram for the implementation of this system. DETAILED DESCRIPTION

[0024] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0025] An intelligent dispatching system for hospital logistics transportation includes an overall system architecture and a transportation business transfer process.

[0026] Reference Figure 2 The overall architecture of the system is divided into six layers. The first layer is the infrastructure, which includes LINUX series and Centos7.5 x64+. The second layer is the database and storage service, which includes Redis, MySOL and Zookeeper. The third layer is the application development framework, which includes the VUE overall framework. On the basis of the VUE technical framework, the user center module, transportation process tracking, transportation task scheduling, basic data module and quality control module are developed through the SpringBoot, Mybatis, Druid, Logback and Tomcat technical frameworks. Among them, the user center module, transportation process tracking, transportation task scheduling, basic data module and quality control module belong to the fourth layer. The fifth layer is the Nginx load balancing configuration method. The sixth layer is the application system, which includes transportation-end applications and scientific research-end applications. The first and second layers in the overall architecture of the system belong to the server side. The server side and the user side establish a data connection. The main body of the transportation business transfer process includes four stages: automatic generation of transportation task orders, waybill allocation, waybill distribution and delivery completion. The four process stages all contain corresponding data processing processes.

[0027] Automatically generated delivery task orders include waybills automatically generated by data connectivity of in-hospital medical, pharmaceutical, appointment and other systems, manually added waybills and waybills generated by issuing / transferring. When generating waybills, the system will collect information about relevant delivery personnel, including the specific location of the delivery personnel, recent order history, and recent medical history. New waybills will not be sent to employees who are far away from the destination of the waybills, have received a large number of orders recently, or have had medical treatment recently. This fully considers the employees' own conditions, avoids employees from working continuously under high load, and to a certain extent improves the efficiency of achieving waybills.

[0028] The data processing process includes data management and data analysis. Data management includes hospital campus management, hospital department management, Bluetooth beacon management, system user management, and transportation-related dimension management. Data analysis includes three parts: big data display center, transportation personnel efficiency analysis, and abnormal waybill analysis.

[0029] During the data analysis process, the waybill process is monitored, and voice broadcasts are made for situations where the delivery time exceeds the standard and the abnormal movement of the delivery personnel. Real-time feedback is provided for abnormal situations in other transmission systems such as pneumatic pipelines, rail logistics, and logistics distribution robots.

[0030] In the process stage of personnel distribution, the location of the transport personnel and the pneumatic pipeline transportation system, rail logistics transportation system and logistics distribution robot are positioned and monitored. The positioning monitoring is the employee handheld terminal + WiFi positioning and Bluetooth beacon positioning to feedback the specific location of the employee in real time. The dispatch center draws a map of the hospital to display the location of the personnel, which is convenient for the dispatch center to view the distribution of personnel. The hospital is a relatively closed environment composed of buildings. Indoors or high-rise buildings, due to insufficient signal penetration, the positioning accuracy may be reduced when using traditional GPS positioning. The hospital needs to achieve accurate positioning for employees and goods. This dispatch system uses dual positioning services of WiFi positioning and Bluetooth beacon positioning. Wi-Fi positioning uses the strength and location information of the surrounding Wi-Fi signals to determine the location of the device. By comparing with the map database, more accurate positioning can be achieved, especially for buildings such as hospitals. Bluetooth beacons are a low-power wireless transmission technology that can provide accurate positioning services indoors and in buildings. The employee's handheld terminal can rely on the received Bluetooth beacon signal to determine its own position, thereby achieving floor positioning, which improves the positioning accuracy of employees and goods in a relatively closed building environment such as a hospital.

[0031] Personnel delivery adopts an algorithm of photo recognition and synchronous image storage. When the cargo waybill is generated, the terminal sends the cargo information and the recent physical characteristics of the delivery personnel to all smart cameras located near the cargo. At this time, the smart camera continues to focus on the cargo. When the delivery personnel appear and pick up the goods, the smart camera captures the delivery personnel and the cargo, and archives the photos, automatically completing the initial clock-in of the waybill. There is no need for traditional manual code scanning and clocking in, which improves transportation efficiency. When the accompanying waybill is generated, the terminal sends the physical characteristics of the patient and the order-taking employee to all smart cameras at all intersections near the patient on the waybill. The smart camera continues to focus on the relevant intersections. When the delivery employee walks out with the patient, the smart camera captures the patient and the employee to complete the initial clock-in of the waybill, and archives the photos. With the support of this algorithm, the delivery of goods or patients also sends instructions to the relevant smart cameras through the terminal to complete the clock-in at the end of the relevant waybill.

[0032] The user end displays different interfaces according to different user permissions. User types include decision maker users, supervisor users and business users. The user end interface of decision maker users is the management center interface, the user end interface of supervisor users is the operation and maintenance center interface, and the user end interface of business users is the surgical business issuance interface, the nursing center feedback page, and the transportation task flow interface.

[0033] Reference Figure 1 , the detailed process of the transportation business transfer process is as follows:

[0034] 1. Automatically generate waybills through HIS, drug distribution, appointment and accompanying examination systems, or manually add waybills and generate waybills through issuing / transferring;

[0035] 2. After the waybill is generated, dispatch the waybill;

[0036] 3. Relevant personnel begin to be transported. At the same time, logistics equipment such as pneumatic pipeline transmission systems, rail logistics transmission systems and logistics distribution robots start transporting the assigned waybill items. Personnel transportation is divided into surgical patient transportation, drug transportation and accompanying examination;

[0037] 3.1. The ward and operating room are notified before the surgical patient is transferred. The operating room prepares for the patient's surgery, scans the QR code to verify the patient's identity before the surgery, and completes the transportation tasks of relevant personnel. The ward prepares for the patient's outgoing / incoming, scans the QR code to verify the patient's identity before the patient is outgoing / incoming, and completes the transportation tasks of relevant personnel;

[0038] 3.2. Drug delivery is divided into ordinary drug delivery and refrigerated drug delivery. Both need to be completed by scanning the code for handover. Before the handover of refrigerated drugs, the temperature at the time of packing needs to be recorded. After the scanning code handover of ordinary drugs and refrigerated drugs is completed, the temperature of the drugs when they arrive needs to be recorded;

[0039] 3.3. During the accompanying examination, the relevant accompanying personnel will gather the patients to be examined, and then lead the patients to the corresponding examination department to complete the accompanying transportation.

[0040] The specific implementation of this logistics transportation intelligent scheduling system is as follows:

[0041] 1. By connecting data with the hospital's medical, pharmaceutical, appointment and other systems, the system automatically generates task orders for delivery. The system sets the waybill allocation method based on the background settings, including grab order mode, manual allocation mode by the dispatch center and automatic dispatch mode. The waybill is assigned to the corresponding transporter's handheld terminal. After the transporter starts the task, the dispatch center monitors the delivery status and location in real time and notifies all personnel in the process.

[0042] ① Automatic dispatch: The system matches corresponding personnel according to the waybill type, the area to which the delivery target belongs, whether there are stationed personnel in the area, the area to which the delivery destination belongs, and the skills required for the delivery task. The system also selects the personnel closest to the area to which the delivery target belongs for dispatch based on the real-time positioning of the personnel.

[0043] 2. The logistics transportation system includes the user end, the server end, and the positioning monitoring. The user end and the server end establish a data connection;

[0044] ①The server side includes data management part, data analysis part, intra-hospital data interaction part, intelligent dispatch center, handheld terminal management and personnel authority management;

[0045] ② The user end displays different interfaces according to different user permissions. User types include decision maker users, supervisor users and business users. The user end interface of decision maker users is the management center interface, the user end interface of supervisor users is the operation and maintenance center interface, and the user end interface of business users is the surgical business issuance interface, the nursing center feedback page, and the transportation task flow interface.

[0046] ③ Positioning monitoring uses employee handheld terminals + Bluetooth beacon positioning to provide real-time feedback on employee locations.

[0047] 3. The data management part includes: hospital campus management, hospital department management, Bluetooth beacon management, system user management, and transportation-related dimension management (skills required for transportation personnel, on-site transportation management, transportation tool management, and business abnormality content management).

[0048] ① Campus management is mainly used to support multiple campuses and subordinate hospitals to use the system for unified logistics scheduling.

[0049] ② Hospital department management and Bluetooth beacon management are used to bind departments and gateways. When a transporter passes by with a handheld terminal, whichever gateway is triggered represents that the person has currently arrived at the department bound to the gateway.

[0050] ③ System user management is used to assign permissions to different users, mainly including waybill delivery permission, waybill allocation permission, and waybill initiation permission. Different permissions represent different user identities. Delivery permission represents delivery personnel, allocation permission represents dispatch center management personnel, and initiation permission represents department personnel with delivery needs within the hospital.

[0051] ④Transportation-related dimension management is used to set the delivery personnel’s stationing location, skills, tools required for transportation, and feedback options when encountering abnormal situations during transportation.

[0052] 4. The data analysis section includes: big data display center, transportation personnel efficiency analysis, and abnormal waybill analysis.

[0053] ①The big data display center provides summary reports on the annual, quarterly, monthly and weekly delivery tasks of different types of delivery.

[0054] ② The efficiency analysis of delivery personnel is to list and summarize the delivery time of delivery personnel every week, calculate the average level and display the detailed data of personnel with low efficiency.

[0055] ③ Abnormal waybill analysis is to summarize the waybills with abnormal reports, sort and display the main reasons leading to the abnormalities, so as to facilitate subsequent avoidance and adjustment.

[0056] ④ Monitor the waybill process, make voice announcements on situations where the delivery time exceeds the standard or the delivery personnel’s position is abnormal, and provide real-time feedback on abnormal situations of other transmission systems such as pneumatic pipelines, rail logistics, and logistics distribution robots.

[0057] 5. Positioning monitoring is to monitor the location of the transported personnel. A map of the hospital is drawn at the dispatch center to display the location of the personnel, making it convenient for the dispatch center to check the distribution of personnel.

[0058] 6. The intelligent dispatch center is a system that assigns waybills to the corresponding delivery personnel's handheld terminals according to the waybill allocation method set in the background (grab order mode, manual allocation by the dispatch center, automatic dispatch mode). After the delivery personnel start the task, the dispatch center monitors the delivery status and location in real time and notifies all personnel in the process.

[0059] 7. The in-hospital data interaction part mainly adapts the data of the hospital's medical, pharmaceutical and other systems with the data of the transportation dispatch center platform.

[0060] 8. The user end is mainly divided into the delivery personnel handheld terminal and the department order issuing platform. The delivery personnel handheld terminal is mainly used by the delivery personnel to receive orders and locate, while the department order issuing platform is mainly used by department personnel to initiate demands and generate waybills.

[0061] The advantages of this hospital's logistics transportation intelligent dispatching system are as follows:

[0062] 1. It mainly adopts local deployment within the hospital. The hospital-side deployment mode is that the ecological platform and all business subsystems are deployed within the hospital's internal network, using the physical or virtual servers provided by the hospital. Hospital users access the intranet IP or domain name using the ecological platform and authorized business subsystems. All types of hospital data are stored on the hospital side, which has higher data security and hospital autonomy;

[0063] 2. In the intelligent dispatch of waybills, the transport dispatch model is defined in six dimensions: personnel skills, waybills type, target area, terminal area, personnel stationing point, and personnel location. The defined model can more effectively assign transport tasks intelligently, and the transport dispatch based on the model is more intelligent, precise, and digital;

[0064] 3. The system will monitor the waybill process, and make voice broadcasts on the dispatch center computer for abnormal situations such as excessive delivery time and the delivery personnel not moving for a long time during delivery. It will also provide real-time reminders for data anomalies and behavioral anomalies in the process to ensure the real-time optimization of the process.

[0065] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A hospital logistics transportation intelligent dispatching system, including the overall system architecture and transportation business transfer process, characterized in that: The overall architecture of the system is divided into six layers. The first layer is the infrastructure, which includes the LINUX series and Centos7.5 x64+. The second layer is the database and storage service, which includes Redis, MySOL and Zookeeper. The third layer is the application development framework, which includes the VUE overall framework. On the basis of the VUE technical framework, the user center module, transportation process tracking, transportation task scheduling, basic data module and quality control module are developed through the SpringBoot, Mybatis, Druid, Logback and Tomcat technical frameworks. Among them, the user center module, transportation process tracking, transportation task scheduling, basic data module and quality control module belong to the fourth layer. The fifth layer is the Nginx load balancing configuration method. The sixth layer is the application system, which includes transportation-end applications and scientific research-end applications. The first and second layers in the overall architecture of the system belong to the server side. The server side and the user side establish a data connection. The main body of the transportation business transfer process includes four stages: automatic generation of transportation task orders, waybill allocation, waybill distribution and delivery completion. The four process stages all contain corresponding data processing processes.

2. According to claim 1, a hospital logistics transportation intelligent dispatching system is characterized in that: The automatically generated transport task orders include waybills automatically generated by data connectivity of in-hospital medical, pharmaceutical, appointment and other systems, manually added waybills and waybills generated by issuing / transshipping.

3. The hospital logistics transportation intelligent dispatching system according to claim 1 is characterized in that: The data processing process includes data management and data analysis. The data management includes hospital area management, hospital department management, Bluetooth beacon management, system user management, and transportation-related dimension management. The data analysis includes three parts: big data display center, transportation personnel efficiency analysis, and abnormal waybill analysis.

4. The hospital logistics transportation intelligent dispatching system according to claim 3 is characterized in that: During the data analysis process, the waybill process is monitored, voice broadcasts are made for situations where the delivery time exceeds the standard and the abnormal movement of the delivery personnel, and real-time feedback is provided for abnormal situations of other transmission systems such as pneumatic pipelines, rail logistics, and logistics distribution robots.

5. The hospital logistics transportation intelligent dispatching system according to claim 1 is characterized in that: During the personnel distribution process stage, the positions of the transported personnel and the pneumatic pipeline transportation system, rail logistics transportation system, and logistics distribution robots are positioned and monitored.

6. The hospital logistics transportation intelligent dispatching system according to claim 5 is characterized in that: The positioning monitoring is the employee handheld terminal + WiFi positioning and Bluetooth beacon positioning to provide real-time feedback on the employee's specific location.

7. The hospital logistics transportation intelligent dispatching system according to claim 1 is characterized in that: The user terminal displays different interfaces according to different user permissions. User types include decision maker users, supervisor users and business users. The user terminal interface of the decision maker user is the management center interface, the user terminal interface of the supervisor user is the operation and maintenance center interface, and the user terminal interface of the business user is the surgical business issuance interface, the nursing center feedback page, and the transportation task flow interface.

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