Intelligent scheduling method and system for surgical instruments, terminal and storage medium

Abstract

The invention discloses an intelligent scheduling method and system for surgical instruments, a terminal and a storage medium, and the method comprises the steps: obtaining a target operation type in target operation information, and determining a target required instrument set according to the target operation type; obtaining multi-dimensional information of the target demand instrument set, calculating a scheduling score of the target demand instrument set according to the multi-dimensional information, and determining a target scheduling instrument set; obtaining an instrument state of the target dispatching instrument set, obtaining a path generation factor according to the instrument state and the target operation information, and performing path planning processing according to the path generation factor to obtain an instrument transfer path; and determining instrument transportation equipment according to the target dispatching instrument package, and controlling the instrument transportation equipment to transport the target dispatching instrument package to the target operating room according to the instrument transfer path. By acquiring the multi-dimensional information and the instrument state of the instrument set required by the target operation, the instrument set can be reasonably scheduled, and the use efficiency of the surgical instruments is effectively improved.

Description

Technical Field

[0001] The present invention relates to the field of instrument scheduling, and in particular to an intelligent scheduling method, system, terminal and computer-readable storage medium for surgical instruments. Background Art

[0002] Hospitals perform a variety of surgeries every day, and each surgery requires corresponding surgical instruments. Before the surgery, the required surgical instruments generally need to be prepared in advance. However, the management of surgical instruments in existing technologies mostly relies on manual operations, which is prone to mismatches and shortages, thus affecting the normal progress of the surgery.

[0003] To solve the above problems, some hospitals have tried to introduce ERP (Enterprise Resource Planning, a comprehensive management information system that integrates and shares the business processes and data of various departments of the enterprise, achieving the goal of enterprise informatization and digital management) and SPD management systems (Supply Chain Planning, a system focused on supply chain planning that helps companies optimize various aspects of the supply chain, including inventory management, demand forecasting, and production capacity planning). However, they are unable to effectively allocate surgical instruments based on surgical information and instrument status, resulting in low instrument scheduling efficiency and utilization efficiency.

[0004] Therefore, the existing technology still needs to be improved and developed. Summary of the Invention

[0005] The main purpose of the present invention is to provide an intelligent scheduling method, system, terminal and computer-readable storage medium for surgical instruments, aiming to solve the problem that the existing technology cannot effectively allocate surgical instruments according to surgical information and the status of the instruments, resulting in low instrument scheduling efficiency and utilization efficiency.

[0006] To achieve the above-mentioned object, the present invention provides an intelligent scheduling method for surgical instruments, which comprises the following steps:

[0007] Obtaining a target surgery type from the target surgery information, and determining a target required instrument package according to the target surgery type;

[0008] Acquiring multi-dimensional information of the target demand instrument package, calculating a scheduling score of the target demand instrument package based on the multi-dimensional information, and determining a target scheduling instrument package based on the scheduling score;

[0009] Acquiring the instrument status of the target scheduling instrument package, obtaining a path generation factor according to the instrument status and the target surgery information, and performing path planning processing according to the path generation factor to obtain an instrument transport path;

[0010] An instrument transport device is determined according to the target scheduled instrument package, and the instrument transport device is controlled to transport the target scheduled instrument package to a target operating room according to the instrument transfer path.

[0011] Optionally, the intelligent scheduling method for surgical instruments, wherein the step of obtaining the target surgery type in the target surgery information and determining the target required instrument package according to the target surgery type, specifically includes:

[0012] Obtaining a surgery schedule within a preset time period, and determining target surgery information in the surgery schedule, wherein the target surgery information includes target surgery name, target surgery type, and surgery time;

[0013] A standard instrument package database is determined, and surgical instrument matching processing is performed in the standard instrument package database according to the target surgery type to obtain a target required instrument package.

[0014] Optionally, in the intelligent scheduling method for surgical instruments, the target demand instrument package includes a plurality of basic instrument packages and a plurality of specialist instrument packages;

[0015] The acquiring multi-dimensional information of the target demand instrument package, calculating the scheduling score of the target demand instrument package according to the multi-dimensional information, and determining the target scheduling instrument package according to the scheduling score specifically includes:

[0016] Obtaining multi-dimensional information of each of the basic instrument kits and each of the specialized instrument kits, wherein the multi-dimensional information includes instrument inventory status, instrument available location, and instrument usage frequency;

[0017] A heuristic scoring model is used to calculate a scheduling score for each of the basic instrument packages and each of the specialist instrument packages based on the inventory status of the instruments, the available locations of the instruments, and the frequency of use of the instruments;

[0018] The target basic instrument package and target specialist instrument package with the highest scheduling score in the target demand instrument package are extracted, and the target basic instrument package and the target specialist instrument package are combined to obtain a target scheduling instrument package.

[0019] Optionally, the intelligent scheduling method for surgical instruments, wherein the step of obtaining multi-dimensional information of the target demand instrument package, calculating a scheduling score of the target demand instrument package based on the multi-dimensional information, and determining the target scheduling instrument package based on the scheduling score, further comprises:

[0020] When an instrument scheduling conflict occurs in the target scheduling instrument package, the surgical priority information of the target surgery and the conflicting surgery is obtained, wherein the surgical priority information includes the urgency of the surgery, the order of the surgery scheduling, and the patient's condition level;

[0021] Determine a priority operation between the target operation and the conflicting operation according to the operation priority information, and assign the target scheduling instrument package to the priority operation;

[0022] Alternatively, a backup instrument package having the same function as the target scheduling instrument package is searched in the standard instrument package database, and the backup instrument package is allocated to the target surgery or the conflicting surgery.

[0023] Optionally, the intelligent scheduling method for surgical instruments, wherein the step of obtaining the instrument status of the target scheduling instrument package, obtaining a path generation factor based on the instrument status and the target surgery information, and performing path planning processing based on the path generation factor to obtain the instrument transport path, further comprises:

[0024] Setting an instrument identification code for each instrument package and binding the instrument identification code to each instrument package;

[0025] An instrument identification device is provided to identify the instrument identification code through the instrument identification device to obtain identification information of each instrument package, wherein the identification information includes the instrument identification code, a timestamp, and an identification location.

[0026] Optionally, the intelligent scheduling method for surgical instruments, wherein the step of obtaining the instrument status of the target scheduling instrument package, obtaining a path generation factor based on the instrument status and the target surgery information, and performing path planning processing based on the path generation factor to obtain the instrument transport path, specifically includes:

[0027] Obtaining a target timestamp and a target identification position of the target scheduling instrument package, obtaining an instrument status of the target scheduling instrument package according to the target timestamp and the target identification position, and constructing a path generation factor according to the instrument status and the target surgery information;

[0028] Determining the operating room location of the target operating room, and performing a path search based on the target identification location and the operating room location to obtain multiple transportation paths;

[0029] The path weight of each of the transport paths is calculated according to the path generation factor, and the transport path with the largest path weight among the multiple transport paths is extracted as the equipment transfer path.

[0030] Optionally, the intelligent scheduling method for surgical instruments, wherein the step of determining an instrument transport device according to the target scheduling instrument package, and controlling the instrument transport device to transport the target scheduling instrument package to a target operating room along the instrument transfer path, further comprises:

[0031] When the target scheduled instrument package is transported to the target operating room, the target scheduled instrument package is subjected to instrument identification processing to obtain a first instrument identification result, and the first instrument identification result is compared with a preset instrument list to obtain a first comparison result;

[0032] When the target surgery is completed, the instrument identification process is performed again to obtain a second instrument identification result, and the second instrument identification result is compared with the preset instrument list to obtain a second comparison result;

[0033] It is determined whether the target scheduling instrument kit is missing or omitted based on the first comparison result and the second comparison result to ensure that the target surgery is completed normally.

[0034] In addition, to achieve the above-mentioned purpose, the present invention further provides an intelligent scheduling system for surgical instruments, wherein the intelligent scheduling system for surgical instruments comprises:

[0035] A target required instrument package determination module is used to obtain the target surgery type in the target surgery information and determine the target required instrument package according to the target surgery type;

[0036] a target scheduling instrument package determination module, configured to obtain multi-dimensional information of the target demand instrument package, calculate a scheduling score of the target demand instrument package based on the multi-dimensional information, and determine the target scheduling instrument package based on the scheduling score;

[0037] An instrument transport path generation module is used to obtain the instrument status of the target scheduling instrument package, obtain a path generation factor based on the instrument status and the target surgery information, and perform path planning processing based on the path generation factor to obtain an instrument transport path;

[0038] The target scheduling instrument package transportation module is used to determine the instrument transportation equipment according to the target scheduling instrument package, and control the instrument transportation equipment to transport the target scheduling instrument package to the target operating room according to the instrument transfer path.

[0039] In the present invention, the target surgery type is obtained from the target surgery information, and a target required instrument package is determined based on the target surgery type. Multi-dimensional information of the target required instrument package is obtained, a scheduling score for the target required instrument package is calculated based on the multi-dimensional information, and a target scheduled instrument package is determined based on the scheduling score. The instrument status of the target scheduled instrument package is obtained, a path generation factor is derived based on the instrument status and the target surgery information, and a path planning process is performed based on the path generation factor to obtain an instrument transfer path. An instrument transport device is determined based on the target scheduled instrument package, and the instrument transport device is controlled to transport the target scheduled instrument package to the target operating room along the instrument transfer path. By obtaining multi-dimensional information corresponding to the target required instrument package required for the target surgery, the present invention can determine a target scheduled instrument package that meets both surgical and scheduling requirements based on the multi-dimensional information. Path planning is then performed based on the instrument status of the target scheduled instrument package and the transportation channel of the target operating room, thereby obtaining an instrument transfer path. This effectively ensures that the target scheduled instrument package arrives at the target operating room on time, achieving not only the rational allocation and scheduling of surgical instruments but also effectively improving the efficiency of surgical instrument use. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a flow chart of a preferred embodiment of the intelligent scheduling method for surgical instruments of the present invention;

[0041] Figure 2 Schematic diagram of the overall structure implementation process of a preferred embodiment of the intelligent scheduling method for surgical instruments of the present invention;

[0042] Figure 3 This is a schematic diagram of the preoperative scheduling process of a preferred embodiment of the intelligent scheduling method for surgical instruments of the present invention;

[0043] Figure 4 Schematic diagram of an instrument state recognition and position tracking module of a preferred embodiment of the intelligent scheduling method for surgical instruments of the present invention;

[0044] Figure 5 It is a structural diagram of a preferred embodiment of the intelligent scheduling system for surgical instruments of the present invention;

[0045] Figure 6 It is a structural diagram of a preferred embodiment of the terminal of the present invention. DETAILED DESCRIPTION

[0046] In order to make the purpose, technical solutions and advantages of the present invention more clear and distinct, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0047] Currently, the management of operating room equipment still relies on a lot of manual operations, although some hospitals have tried to introduce ERP (Enterprise Resource Planning, a comprehensive management information system that integrates and shares the business processes and data of various departments of the enterprise, achieving the goal of enterprise informatization and digital management) and SPD management system (Supply Chain Management System). Planning, a system focusing on supply chain planning, helps companies optimize all aspects of the supply chain, including inventory management, demand forecasting, and production capacity planning. However, there are still obvious deficiencies in the dynamic scheduling, intelligent identification, preoperative prediction, postoperative recovery, and path planning of surgical instruments. The problems are as follows: 1. Time-consuming preoperative preparation: The instrument allocation process is mostly executed by manual communication between nurses and the supply room, which is prone to mismatches and shortages; 2. Lagging status tracking: The status of instruments at each node from the supply room to the operating room cannot be grasped in real time; 3. Lack of intelligent scheduling: Current information systems mostly display static data and cannot dynamically adjust instrument allocation based on preoperative scheduling; 4. Information fragmentation: There is no unified platform management between the supply room, operating room, and logistics channels, and resource utilization is low; 5. The recovery process has no traceability capability: There is no accurate record of the flow of postoperative instruments, and the cleaning and sterilization efficiency is low.

[0048] Therefore, there is an urgent need for a new intelligent equipment scheduling system that combines information platform, Internet of Things sensing technology, and scheduling algorithm to carry out integrated, closed-loop intelligent management of hospital surgical instruments.

[0049] To address the above issues, the present invention proposes an intelligent scheduling method for surgical instruments in hospital settings. Based on surgical scheduling information, this method integrates core functions such as instrument location awareness, dynamic scheduling algorithms, real-time status recognition, and spatial optimization. The present invention enables intelligent control of the entire instrument process, from preoperative preparation, transport routing, intraoperative delivery, and postoperative recovery. This method significantly improves instrument utilization efficiency, reduces human error rates, and enhances the automation level of surgical preparation, enabling hospitals to achieve intelligent surgical management.

[0050] The intelligent scheduling method of surgical instruments according to the preferred embodiment of the present invention is as follows: Figure 1 As shown, the intelligent scheduling method for surgical instruments includes the following steps:

[0051] Step S10: Obtain the target surgery type in the target surgery information, and determine the target required instrument package according to the target surgery type.

[0052] like Figure 2As shown, the system platform provided in the present invention includes a preoperative scheduling analysis module, wherein the functions of the preoperative scheduling analysis module include: 1. connecting to the hospital HIS (Hospital Information System) system to automatically read the surgical plan for the next 24 to 72 hours; 2. extracting the corresponding standard instrument package requirements based on the type of surgery; 3. generating the optimal instrument allocation list based on the inventory status, available location, and frequency of use of the instrument.

[0053] Specifically, a surgical schedule within a preset time period is obtained, and target surgical information in the surgical schedule is determined, wherein the target surgical information includes the target surgical name, target surgical type, and surgical time; a standard instrument package database is determined, and surgical instrument matching processing is performed in the standard instrument package database according to the target surgical type to obtain the target required instrument package.

[0054] The preoperative scheduling analysis module is the core of the present invention. It is responsible for extracting surgical scheduling information from the hospital information system, combining it with instrument resource data, and formulating preoperative instrument allocation strategies. Its main functions and implementation logic are as follows:

[0055] 1. Connect to the HIS system and read the preoperative surgical plan: Through the interface, connect to the hospital HIS system or surgical scheduling subsystem, automatically capture the surgical schedule for the next 24 to 72 hours, and update it synchronously on a daily basis. Among them, preoperative surgical scheduling information is generally filled in and submitted by clinical department nurses or surgical department dispatchers. After review, the content is imported into the HIS system by the Information Department. Its content includes but is not limited to: surgery name (such as "laparoscopic cholecystectomy"), surgery type (general surgery, neurosurgery, etc.), surgery date and time period (through the hospital HIS system or surgical scheduling subsystem, the operating room scheduling data is obtained to predict the operation time of different types of operations in the operating room schedule to accurately predict the actual operation time of different types of operations, and finally obtain the predicted operation time of different types of operations in the operating room schedule), operating room number, surgeon, assistant, anesthesiologist, surgeon's department, intraoperative instrument package number, patient ID and preoperative information summary. By performing structured extraction on these data, a preoperative surgical task pool is established as the main index for instrument scheduling.

[0056] 2. Extract standard instrument package requirements based on surgery type: Based on the surgery name and type, automatically call the built-in "standard instrument package database" (identify and analyze the surgery type on the operating room scheduling data obtained through the hospital HIS system or surgery scheduling subsystem to obtain detailed information on various surgery types in the operating room schedule. In actual operation, different surgery types will be identified from the overall scheduling data, such as cardiac surgery, neurosurgery, general surgery, etc., to help understand the number and type distribution of each surgery type, and finally obtain the surgery type status data in the operating room schedule. Through the surgery type status data in the operating room schedule, the surgical instruments required for different surgery types can be obtained and stored in the database to build a standard instrument package database), identify the basic instrument packages and specialized instrument packages required for this type of surgery, and form a matching list. The instrument packages are divided as follows: a. Basic instrument package: commonly used in all routine surgical operations, usually including: bowls, towel clamps, hemostatic forceps, non-destructive forceps, needle holders, tissue scissors, knife handles, straight forceps, tweezers, dressing forceps and hooks, etc.; b. Specialized instrument package: configured for different types of operations, for example: [Gastrointestinal Surgery] requires gastrointestinal staplers, intestinal retractors, laparoscopic graspers, etc.; [Thoracic Surgery] requires thoracoscopic kits, suction devices, thoracotomies, etc.; [Obstetrics and Gynecology] requires uterine retractors, vaginal dilatators, cervical forceps, etc.; [Neurosurgery] requires craniotomy drills, electrocoagulation suction kits, nerve retractors, etc.; [Cardiovascular Surgery] requires cardiac blocking forceps, vascular staplers, extracorporeal circulation interfaces, etc.; [Otolaryngology] requires nasal endoscope sets, glottic forceps, laryngoscopes, etc.; [Thyroid Surgery] requires thyroid retractors, nerve detection forceps, electrocoagulation knives, etc.

[0057] For example:

[0058] For example, the instrument kit required for the "laparoscopic cholecystectomy" operation includes: 1 set of basic instrument kit (such as surgical forceps and scissors, etc.); specialized instrument kit: hepatobiliary laparoscopic instrument kit (including: laparoscopic grasping forceps, hook knife, pneumoperitoneum needle, trocar and bipolar coagulation, etc.).

[0059] The present invention automatically summarizes the list of various equipment and materials based on the standard list of surgical procedures and enters the scheduling calculation stage.

[0060] In addition, the standard instrument package database in the present invention can use historical big data to build an AI model, so that the AI ​​model can identify the surgical supplies provided for each operation and intelligently recommend the corresponding surgical supplies list for subsequent operations. The present invention establishes a surgical material management platform through an advanced information system, forms a systematic logistics management concept, proposes a targeted centralized deployment plan, expands the traceability management scope of surgical materials, and can effectively solve the problem of efficient preparation of surgical materials before surgery, reducing the operating costs of operating rooms. At the same time, it is expected to better optimize the inventory management of surgical materials, reduce expired waste, improve turnover rate, provide scientific, practical and reliable decision-making references for relevant management departments, and provide certain help for patient surgical safety.

[0061] Step S20: Obtain multi-dimensional information of the target demand instrument package, calculate the scheduling score of the target demand instrument package based on the multi-dimensional information, and determine the target scheduling instrument package based on the scheduling score. The target demand instrument package includes multiple basic instrument packages and multiple specialized instrument packages.

[0062] The scheduling score for instrument packages takes into account the priority of the surgery. Generally speaking, surgical instruments should be allocated first to surgeries with higher priorities. That is, the priority of the surgery determines the order in which surgical instruments are used. In the present invention, when there is a scheduling conflict for surgical instruments (i.e., two surgeries may require the same set of equipment), the higher-priority surgery will be used first, while the lower-priority surgery can be completed by seeking alternative instruments.

[0063] Specifically, multi-dimensional information of each of the basic instrument packages and each of the specialized instrument packages is obtained, wherein the multi-dimensional information includes the inventory status of the instrument, the available location of the instrument, and the frequency of instrument use; a heuristic scoring model is used to calculate the scheduling score of each of the basic instrument packages and each of the specialized instrument packages based on the inventory status of the instrument, the available location of the instrument, and the frequency of instrument use; the target basic instrument package and target specialized instrument package with the highest scheduling score in the target demand instrument package are extracted, and the target basic instrument package and the target specialized instrument package are combined to obtain a target scheduling instrument package.

[0064] Furthermore, the optimal equipment allocation list is generated by combining inventory status, available locations, and usage frequency. The present invention integrates information from multiple dimensions to optimize equipment resource scheduling and generate the optimal allocation list, as follows:

[0065] 1. Instrument Inventory Status Analysis: By connecting to the SPD / WMS system, the location and status of instrument inventory (e.g., in stock, in use, undergoing sterilization, under repair, and about to be scrapped) are obtained in real time. If a particular instrument is in short supply, the system will automatically prompt for alternative supplies or optimize the order across multiple surgeries.

[0066] 2. Equipment available location assessment: Combining the hospital's BIM building model with IoT positioning data, the system identifies the current location of the instrument box (such as a supply room on a certain floor or an AGV transfer point) and calculates its scheduling response time as part of the scheduling priority.

[0067] 3. Instrument Usage Frequency Management: The system records the historical usage frequency and maintenance history of each instrument cassette. For frequently used instruments, the system guides their rotation to avoid excessive wear on a single instrument. If an instrument has reached the recommended maintenance threshold, the system prompts it for inspection, prioritizing the use of a spare cassette to ensure surgical safety.

[0068] The scheduling optimization logic set by the present invention is as follows: After integrating the above three parameters, the system calculates a "scheduling score" for each instrument package based on a heuristic scoring model and generates an instrument allocation list according to the following strategy:

[0069] Scheduling score = α·inventory availability + β·location scheduling responsiveness + γ·usage risk estimation; α, β, and γ are adjustable parameters (such as the default weights of 0.5, 0.3, and 0.2). The system selects the instrument package combination with the highest score as the recommended list for scheduling this surgery.

[0070] Preferably, the present invention gives priority to the use of equipment resources that are "nearby, in good condition, and used moderately frequently", which can avoid repeated deployment, reduce transportation time, and ensure the life and safety of the equipment.

[0071] Furthermore, when an instrument scheduling conflict occurs in the target scheduling instrument package, the surgical priority information of the target operation and the conflicting operation is obtained, wherein the surgical priority information includes the urgency of the operation, the order of surgical scheduling, and the patient's condition level; the priority operation between the target operation and the conflicting operation is determined according to the surgical priority information, and the target scheduling instrument package is assigned to the priority operation; or a backup instrument package with the same function as the target scheduling instrument package is searched in the standard instrument package database, and the backup instrument package is assigned to the target operation or the conflicting operation.

[0072] Meanwhile, hospital managers can obtain operating room scheduling data to understand in advance the surgical arrangements for daily, weekly or longer periods of time, helping to optimize the allocation of equipment resources and time scheduling in subsequent processing.

[0073] like Figure 3 As shown, the present invention sets up a conflict resolution strategy and a scheduling optimization mechanism: when a scheduling conflict occurs, the system starts an automatic or semi-automatic scheduling resolution mechanism and handles it according to the following strategy:

[0074] Conflict resolution strategies include: 1. Priority sorting and rescheduling: re-sorting the scheduling queue according to the urgency of the surgery (emergency first), the order of surgery scheduling, the patient's condition level, etc.; give priority to retaining the current instruments for priority tasks, and replace or postpone the instruments for other tasks. 2. Instrument package replacement matching: the system automatically searches for "other available instrument packages with the same functional modules" in the inventory as alternatives; if there is a spare instrument package, it automatically replaces the current conflicting instrument and regenerates the scheduling path. 3. Path re-planning: If the conflict is caused by repeated AGV paths, the system uses a path re-arrangement algorithm to recalculate a conflict-free path; give priority to avoiding high-congestion nodes and allocated channels to keep transportation smooth. 4. Manual confirmation prompt mechanism: If the conflict cannot be resolved completely automatically, the system will pop up a conflict confirmation dialog box for the dispatcher to manually decide whether to delay a certain surgery preparation time, assign manual transportation, or switch to a backup department or operating room.

[0075] In addition, the present invention can also set a surgical duration influencing factor. Since surgical duration is related to factors such as the difficulty of the surgical type, the patient's diagnosis, and possible surgical risks, these factors can be used as surgical duration influencing factors to predict the duration of the surgery. Furthermore, based on the duration of the surgery, the idle time of surgical instruments can be predicted to facilitate matching subsequent surgeries, further improving the scheduling efficiency of surgical instruments.

[0076] Specifically, by performing statistical calculations on the surgical scheduling record data of different surgical types in the operating room schedule that was previously extracted, the total duration of the surgery is calculated based on the actual start and end time points of the surgery. Taking instrument scheduling as an example, if the actual operation time of a spinal surgery is 3 hours, this initial scheduling duration will be recorded for subsequent analysis and surgical scheduling optimization. These data not only help to understand the work efficiency of the operating room, but also help predict the arrangement of future surgical schedules, and ultimately obtain the initial scheduling duration of surgeries of different surgical types in the operating room schedule.

[0077] Furthermore, by quantitatively calculating the surgical complexity of different surgical types in the surgical type status data within the operating room schedule obtained from the previous analysis, the anesthesia surgical complexity of different surgical types was evaluated and calculated by comprehensively considering factors such as the technical difficulty of the corresponding surgical type, the patient's health status and the expected surgical risks, and finally the anesthesia surgical complexity of different surgical types in the operating room schedule was obtained.

[0078] Afterwards, the impact of the surgical complexity of different surgical types within the operating room schedule, calculated and evaluated in combination with the initial scheduled duration of the corresponding surgical types within the operating room schedule, is evaluated and analyzed to determine how the complexity of different surgical types affects their surgical duration. For example, for a complex neurosurgery, the surgical duration will be relatively long due to the delicate nature of the operation and the need for high patient monitoring. Therefore, the present invention analyzes the relationship between complexity indicators and surgical duration and establishes a model of factors affecting surgical duration to predict and adjust surgical schedules based on specific circumstances, thereby gaining a deeper understanding of the specific factors affecting surgical complexity on surgical duration, and ultimately determining the impact of the complexity of different surgical types within the operating room schedule on surgical duration.

[0079] After determining the factors affecting the operation duration, the initial scheduled operation duration can be updated based on the constructed operation duration influencing factor model to obtain the predicted operation duration. Based on the predicted operation duration, the completion time of the surgical instruments can be roughly estimated, and the subsequent disinfection and cleaning steps after the completion of the surgical instruments and the location of the surgical instruments can be taken into account. These surgical instruments can be added to the scheduling queue again to improve the efficiency of the use of surgical instruments.

[0080] Step S30: Acquire the instrument status of the target scheduling instrument package, obtain a path generation factor according to the instrument status and the target surgery information, and perform path planning processing according to the path generation factor to obtain an instrument transport path.

[0081] Specifically, an instrument identification code is set for each instrument package, and the instrument identification code is bound to each instrument package; an instrument identification device is set, and the instrument identification code is identified by the instrument identification device to obtain identification information of each instrument package, wherein the identification information includes the instrument identification code, timestamp and identification location.

[0082] like Figure 2 and Figure 4 As shown, the present invention is equipped with an instrument identification and tracking module with the following functions: 1. Each instrument box is bound to a unique identifier (such as RFID, UWB, visual coding); 2. The system tracks the location and status (standby / in transit / recycled / disinfected) of each instrument in real time; 3. It is bound to the hospital building BIM model to realize the three-dimensional position visualization of the operating room.

[0083] The instrument identification and tracking module is designed to uniquely identify surgical instrument boxes and track them throughout the entire process using IoT identification technology. This ensures the system can monitor the status and location of instruments in real time during preoperative preparation, intraoperative delivery, and postoperative recovery. Its specific functions include:

[0084] (1) Binding method and process of device identification code: To achieve the unique identifiability of each device or device box, the system supports multiple identification methods, such as RFID electronic tags, UWB ultra-wideband chips, QR codes / visual image codes, etc. The binding process is as follows:

[0085] 1. Before the initial storage / activation of the instrument: affix or embed an RFID / UWB tag, or spray a QR code, in a fixed position on the outer shell of the instrument box (or instrument tray); 2. Bind and enter the information in the system backend, registering the unique code of the instrument box and its basic information: the instrument package number (such as GB-A001), the instrument list, the specialty classification, the date of commissioning, the initial sterilization time, and the current life cycle stage (activation / repair / scrap, etc.).

[0086] 2. Binding entry method: unified batch entry can be performed through PDA handheld terminals, fixed scanning devices, or management platforms; support importing existing identification records from SPD / WMS systems and establishing interface mapping.

[0087] 3. Identification features: RFID: supports long-distance contactless reading and can be embedded in stainless steel boxes or silicone instrument holders; UWB: high accuracy (error <30cm), suitable for precise positioning scenarios; QR code / visual coding: suitable for low-cost deployment areas, with the help of camera recognition.

[0088] (2) Real-time tracking of instruments: The system deploys identification devices at key nodes to track the status and location of instrument boxes throughout their life cycle. The core technical logic is as follows:

[0089] 1. Identification point deployment: Identification equipment is deployed at locations such as supply room entrances and exits, logistics transfer points, AGV loading and unloading positions, operating room entrances, and postoperative recovery windows; it supports fixed RFID access control antennas, UWB anchor points, and visual recognition cameras.

[0090] 2. Tracking path process (schematic): [supply room → logistics channel → operating room → postoperative recovery → disinfection center → re-warehousing]; data collection and upload mechanism: After each node is identified, the instrument box ID, timestamp, node location and other information are uploaded to the platform database; if combined with the UWB system, the movement trajectory of the instrument in the indoor space can be continuously mapped in real time.

[0091] Status judgment logic: The system judges the status of the instrument based on the identification position and time difference. The instrument status includes: Standby: in the supply room or inventory point; In transit: in the logistics path, has left the source point but has not reached the destination point; Delivered: arrived at the operating room standby area; In use: intraoperative identification and confirmation; Recycling: postoperative recycling identification passed; To be cleaned / disinfected: entering the cleaning area or sterilization link.

[0092] (3) Binding with the hospital BIM model to achieve three-dimensional visual tracking: The system platform is connected to the hospital building information model (BIM), and the position tracking data of the instrument box is bound to the space model to achieve three-dimensional dynamic display of the instrument in the hospital space. The process is as follows:

[0093] 1. Use the device ID as the index to match the UWB coordinates (such as X, Y, Z);

[0094] 2. Project the coordinates into the corresponding spatial structure of the hospital BIM model (e.g., "4th Floor - East Operating Room No. 3");

[0095] 3. The system front end uses a visual interface to display the current status and location of all instruments, supporting: real-time search for the current location of a certain instrument; dynamic trajectory playback (such as intraoperative transfer path); multi-level floor switching display.

[0096] This function is not only used for precise scheduling during preoperative preparation, but also provides key assistance in postoperative auditing, exception tracing, and process optimization.

[0097] Typically, when a device is first activated, the supply room's materials manager completes labeling and system entry. This can be done with a single click using a handheld terminal. RFID / UWB tags are made of long-term, high-temperature, and disinfection-resistant materials, allowing them to be used with the device case for extended periods. The system refreshes their status and usage count after each use. Using a UWB solution, indoor accuracy can reach 10-30cm. Using RFID, identification is limited to node collection points. Incorporating visually assisted identification enhances tracking continuity.

[0098] Furthermore, the target timestamp and target identification position of the target scheduling instrument package are obtained, the instrument status of the target scheduling instrument package is obtained according to the target timestamp and the target identification position, and a path generation factor is constructed according to the instrument status and the target surgery information; the operating room position of the target operating room is determined, and a path search is performed according to the target identification position and the operating room position to obtain multiple transport paths; the path weight of each transport path is calculated according to the path generation factor, and the transport path with the largest path weight among the multiple transport paths is extracted as the instrument transfer path.

[0099] like Figure 2 As shown, the present invention is provided with a transfer control and path scheduling module, and its functions include: 1. The system generates the optimal transfer path for the instrument according to the priority of the operation time, the availability of the instrument, and the busyness of the channel; 2. Linking the AGV or roller transfer vehicle to perform the scheduling task; 3. Automatically detecting the transportation process and feeding back to the system platform.

[0100] The transfer control and path scheduling module mainly realizes the intelligent scheduling and optimal path transfer control of preoperative instruments from the supply node (such as the central supply room, which is the location of the target scheduling instrument package) to the target node (that is, the operating room location of the target operating room). It is not only responsible for path generation, but also controls the scheduling equipment (such as AGV / roller car) to automatically perform tasks and dynamically monitors the entire transportation process.

[0101] Optimal Equipment Transfer Routing Logic: The system utilizes a multi-objective optimization-based routing algorithm, integrating the following key factors for route planning. Path generation factors include: 1. Surgery Time Priority (T): Each surgery is assigned a time-sensitive weight based on its estimated start time and urgency (e.g., emergency vs. elective). Instruments scheduled closer to the preoperative preparation time are prioritized. 2. Instrument Availability (I): This determines whether any qualified instruments are currently available. If an instrument is being cleaned or delayed from a previous surgery, an alternate route or alert mechanism is triggered. 3. Logistics Channel Congestion (C): The system receives real-time occupancy information from the AGV navigation system or traffic nodes. It creates a traffic status graph and determines the current traffic weight of each channel (e.g., congestion = high time consumption). 4. Path Distance and Cross-Floor Cost (D): If cross-floor routes are required, the system calculates elevator wait time. Same-floor routes consider actual channel length, corners, and transfer time. 5. Transfer Resource Availability (R): This determines whether idle AGVs / transfer vehicles are available and whether there are any routing conflicts or equipment scheduling delays.

[0102] Path generation algorithm model: The system establishes a logistics graph model within the hospital, abstracting each area of ​​the hospital as a graph node, channels as edges, and assigning a weight function to each edge: path edge weight W = α·channel congestion level + β·transfer distance + γ·transfer waiting time.

[0103] The system searches for paths based on the starting point (current location of the instrument) and the end point (target surgical room) of the scheduling task. By default, the heuristic A algorithm (or Dijkstra variant) is used to find the shortest path. If there are multiple concurrent path conflicts or equipment scheduling bottlenecks, a multi-objective path replanning algorithm (such as Ant Colony Optimization or Genetic Algorithm module) is dynamically triggered for reallocation.

[0104] Real-time dynamic path adjustment mechanism: If a path node is congested (such as occupied by other AGVs or closed channels), the system automatically updates the graph model; if the scheduling time is close to the preoperative preparation time threshold, the system will increase the path priority to the emergency level and seize path resources; if a device is not transported as expected, an alternative path and an abnormality alarm will be triggered.

[0105] Step S40: determining an instrument transport device according to the target scheduled instrument package, and controlling the instrument transport device to transport the target scheduled instrument package to a target operating room along the instrument transfer path.

[0106] The present invention can construct an AI recognition model for surgical supplies by processing and training big data on the AI ​​model, which is used to efficiently identify surgical supplies and notify the backend to prepare them in advance. Based on the AGV or mobile robot provided in the present invention, an automated deployment and positioning transportation plan for surgical instruments is implemented, and the surgical supplies required for the current surgery are intelligently delivered to the operating room, thereby realizing intelligent identification and delivery of surgical instruments. The present invention can configure the required surgical supplies for each surgery in real time, prepare the supplies required for the current surgery in advance, and when the patient arrives at the operating room, the supplies can be ordered to be delivered to the operating room and the surgery can be carried out. This can avoid problems such as surgical delays and the failure of surgical supplies caused by preparing surgical supplies too early or too late.

[0107] Scheduling task execution linkage control: The system sends the generated scheduling path to the scheduling central control platform, and links the transportation equipment (AGV / roller car) in the hospital to execute the handling task: 1. Each scheduling task is identified by a unique task ID; 2. The scheduling system packages the path nodes, time windows, and target status and sends them to the target AGV / equipment; 3. After accepting the scheduling task, the AGV performs autonomous navigation according to the built-in map; 4. If the AGV is abnormally offline or fails, the system switches to manual scheduling or backup AGV.

[0108] The transport device employed in the present invention may be an AGV, or Automated Guided Vehicle. An AGV is a transport vehicle equipped with electromagnetic or optical navigation systems, capable of following a prescribed path and equipped with safety features and various transfer functions. Its path and behavior are typically controlled by a computer or established using an electromagnetic path-following system attached to the floor. The AGV relies on information provided by the electromagnetic path-following system to control its movement and actions.

[0109] like Figure 4As shown in the figure, for transportation process detection and status feedback: each key node in the transportation process (such as departure / turning / relay point / arrival) is deployed with an identification device (such as RFID access control, laser scanning, UWB anchor point), and the system detects the transportation status in real time in the following ways: 1. The identification point automatically reads the instrument box / transfer vehicle number and uploads it; 2. Each identification records the timestamp and position, and the system compares the predicted path nodes to determine whether the transportation is normal; 3. The system displays the transportation status (departed / arrived / delayed / abnormal) in real time on the scheduling visualization platform; 4. If a delay or wrong path is found, the system will issue a "scheduling abnormality alarm" and automatically start the alternative path or manual intervention mechanism.

[0110] For example, suppose a thyroidectomy is performed in an operating room at 8:00 AM. The system schedules the procedure as follows: 1. Current time: 7:15 AM. 2. The system finds the corresponding instrument package in Central Supply Room No. 2 and is available. 3. The preferred path is: Supply Room → Main Channel A → Elevator → Entrance to Operating Room B on the 4th floor. 4. Channel A is currently slightly congested, and Path B takes longer. The system compares the weights of the two paths and selects A. 5. The AGV is dispatched to carry out the transport, with an estimated completion time of 7:35 AM. 6. Real-time path feedback shows that the AGV entered the elevator at 7:25 AM, and the system records the status as normal.

[0111] In addition, the present invention can also install the GPS positioning device on the AGV equipment transportation equipment. When the AGV equipment transportation equipment is delivering equipment, the system platform can receive the positioning information sent by the GPS positioning device on the AGV equipment transportation equipment. The system decodes the position information of the AGV equipment transportation equipment and converts the position information into image information to display the position information of the delivery vehicle, thereby realizing efficient and secure information transmission and realizing real-time monitoring of the transportation vehicle.

[0112] Through the above-mentioned path scheduling mechanism, the present invention can achieve: 1. Minimization of path conflicts under parallel scheduling of multiple surgeries; 2. Predictability and visibility of the transportation process; 3. Integration of automated equipment and algorithm scheduling strategies; 4. Path adaptive adjustment and fault-tolerant processing capabilities in dynamic interference environments.

[0113] Specifically, when the target scheduling instrument package is transported to the target operating room, the target scheduling instrument package is subjected to instrument identification processing to obtain a first instrument identification result, and the first instrument identification result is compared with the preset instrument list to obtain a first comparison result; when the target operation is completed, the instrument identification processing is performed again to obtain a second instrument identification result, and the second instrument identification result is compared with the preset instrument list to obtain a second comparison result; based on the first comparison result and the second comparison result, it is determined whether the target scheduling instrument package is missing or omitted to ensure that the target operation is completed normally.

[0114] The present invention is equipped with an intra-operative reception and status comparison module, whose functions include: 1. deploying identification equipment at the entrance of the operating room to automatically identify the instruments entering; 2. comparing with the standard configuration list of surgical instruments to provide real-time prompts on whether they are complete; 3. supporting recovery and comparison after surgery to avoid loss of instruments.

[0115] The intraoperative receiving and status comparison module is located at the key nodes of "preoperative confirmation" and "postoperative recovery" in the surgical instrument flow path. It is mainly responsible for identifying the instruments entering the operating room, comparing them with the standard list, and confirming their status to ensure that all instruments are complete before surgery and that no instruments are missed after surgery. Specific functions include:

[0116] (1) Detailed explanation of the instrument identification method: The present invention supports multiple identification technologies, with a preference for unique identification methods (such as RFID, UWB tags or QR code visual encoding), while reserving image visual recognition interfaces to support future intelligent expansion. The main identification methods are: unique identification. Identification medium: Each instrument box or instrument tray has a unique coding tag (such as RFID, UWB or QR code) attached during the binding stage; Identification equipment: A fixed identification terminal is deployed at the entrance of the operating room, including: 1. RFID reading door frame (dual antenna identification, which can cover the entire trolley entry and exit range); 2. UWB anchor receiver for precise positioning of mobile instruments; 3. QR code / visual recognition camera (if visual code is used); 4. The identification process includes: the instrument enters the identification area at the door of the operating room by a transfer vehicle or manual cart; the system identification terminal automatically scans all tags passing through the area; each identification event uploads the instrument ID, timestamp, and entrance number to the scheduling platform; the platform confirms the identity of the instrument, matches the preoperative scheduling list, and updates the "received" status.

[0117] Furthermore, as for the identification method, the present invention can also adopt an image recognition supplement mechanism: a high-precision camera can be deployed on the instrument tray for image acquisition, and the system classifies and identifies the appearance of the instrument through a trained deep learning model (such as YOLOv8 or ResNet). It is suitable for special scenarios: missing labels, emergency trays, surgeons manually replenishing supplies, etc. Image recognition can also be used as a means of later log comparison and visual backtracking.

[0118] The present invention uses unique identification as the main path and image recognition as a technical variation solution, and has scalability.

[0119] (2) Preoperative status comparison and complete matching confirmation mechanism: After the system recognizes the device, it will compare the actual device ID set received with the standard device configuration list generated by the preoperative scheduling module one by one, and execute the following logic: If the recognition result completely matches the standard list, it will display "devices are complete and ready"; if there are missing items or mismatched items (such as an extra or missing device), a difference list will be automatically listed to prompt the responsible person to handle it; the comparison status can be viewed in real time on the platform interface or the terminal at the door of the operating room, and voice prompts or image displays are supported. The comparison process is an automated matching process, without the need for manual statistics, which can significantly reduce preoperative verification time and the risk of errors and omissions.

[0120] (3) Postoperative recovery comparison and loss warning mechanism: After the operation, the instruments flow out of the operating room and pass through the entrance identification device again. The system compares the preoperative identification list with the postoperative identification results: If the number of instruments identified after the operation is consistent with the number before the operation, it will display "The instruments have been recovered completely";

[0121] If an instrument is missing, an automatic "loss risk" prompt will be displayed, showing the name and number of the missing instrument, and locking the last identified location; the postoperative recovery area can be linked to prompt key inspections to prevent accidental abandonment or left over during surgery; all recovery and comparison data will be recorded in a log to support subsequent postoperative event tracing.

[0122] Through the identification and comparison mechanism of this module, the following effects can be achieved: 1. 100% digital confirmation of the preoperative completeness rate of surgical instruments; 2. A significant decrease in the missing rate of recovered instruments (it is expected that >90% of abnormalities can be warned in advance); 3. The burden of manual verification by nurses before and after surgery is reduced; and the closed-loop management and traceability of intraoperative materials are strengthened.

[0123] In addition, if the recognition requirements are further refined from pallet recognition to "single device-level recognition", the system can be expanded to a fusion recognition architecture that combines visual recognition + pressure sensor + depth camera to realize a "full visual automatic recognition system" without labels.

[0124] The present invention also provides a scheduling visualization console, the functions of which include: 1. Displaying the scheduling status of each surgical instrument; 2. Providing AI-assisted diagnosis of scheduling anomalies and scheduling conflict warnings; 3. Historical data statistics and trajectory tracing.

[0125] The dispatch visualization console is the system's visual central control platform, integrating information display, dispatch instruction issuance, intelligent early warning, and data tracking. Its main functions include:

[0126] (1) Panoramic display of scheduling status: A visual interface displays the current scheduling status of all equipment in the hospital, including: 1. The equipment preparation status of each operation (complete / in scheduling / out of equipment); 2. The current status of each instrument box (in storage / in transit / in operation / recovery / under maintenance); 3. Path location distribution map (dynamically marked location trajectory on the hospital space map); 4. Users can query the scheduling details of the instrument by one click through the "instrument number" or "operation task ID".

[0127] (2) AI-assisted diagnosis and scheduling conflict warning mechanism: The system has a built-in AI rule engine and scheduling conflict detection logic to automatically analyze and identify the following typical scheduling anomalies:

[0128] Types of instrument scheduling conflicts: 1. Resource overlap conflict: the same instrument box is scheduled for multiple surgeries in the same time period; 2. Path conflict: multiple AGVs are assigned to the same channel node at the same time, resulting in path preemption; 3. Scheduling time conflict: due to the timeout of the previous surgery, the subsequent instrument recovery and scheduling preparation are affected; 4. Inventory conflict: the inventory of the same type of equipment is insufficient, and multiple tasks compete for allocation.

[0129] Conflict identification logic: 1. Based on the time window and resource mapping table of the scheduling queue, the system performs a conflict matrix analysis on all equipment scheduling tasks. 2. It uses a graph conflict detection algorithm (such as a graph coloring algorithm and a resource preemption detection graph) to determine whether there is resource duplication. 3. If a conflict is found, a red alarm is immediately issued and the conflicting task number is marked.

[0130] (3) Conflict resolution strategy and scheduling optimization mechanism: When a scheduling conflict occurs, the system activates an automatic or semi-automatic scheduling resolution mechanism and handles it according to the following strategies:

[0131] Conflict resolution strategies include: 1. Priority sorting and rescheduling: re-sorting the scheduling queue according to the urgency of the surgery (emergency first), the order of surgery scheduling, the patient's condition level, etc.; giving priority to retaining the current instruments for priority tasks, and replacing or postponing the instruments for other tasks; 2. Instrument package replacement matching: the system automatically searches for "other available instrument packages with the same functional modules" in the inventory as alternatives; if there are spare instrument packages, the current conflicting instruments are automatically replaced and the scheduling path is regenerated; 3. Path re-planning: if the conflict is caused by repeated AGV paths, the system uses a path re-arrangement algorithm to recalculate a conflict-free path; give priority to avoiding high-congestion nodes and allocated channels to keep transportation smooth. 4. Manual confirmation prompt mechanism: If the conflict cannot be resolved completely automatically, the system will pop up a conflict confirmation dialog box for the dispatcher to manually decide whether to: delay a certain surgery preparation time, assign manual transportation, or switch to a backup department or operating room.

[0132] (4) Historical data statistics and trajectory tracing function: The system records the entire process of each instrument dispatch task, including dispatch instructions, path selection, identification records, and recovery time; all dispatch logs can be queried by task number, instrument ID, and time period; the system supports dispatch heat map analysis, such as: 1. The frequency of use of a certain instrument throughout the year; 2. Common path conflict periods; 3. Visual analysis of dispatch bottleneck nodes; these historical data can be used for audit tracing, and can also provide a basis for hospital lean management, consumables procurement forecasts, and equipment maintenance plans.

[0133] The scheduling visualization console uses AI-assisted scheduling + real-time conflict perception + dynamic rescheduling mechanism to build an adaptive "intelligent scheduling command center", which can achieve: 1. Automatic warning and optimization of conflicts in the entire process; 2. Intelligent reconstruction of task-level scheduling; 3. Optimal allocation of hospital transportation resources and equipment inventory; and build a "visible + controllable + interventionable" three-in-one management model.

[0134] During the specific implementation process, the backend server where the nurse station is located can collect the needs of each operating room. The nurse can use the handheld nursing terminal PDA to submit the material information required for the current operation type to the backend, so that the backend can intelligently generate a list of surgical materials for this operation (i.e., the target operation) based on the needs of the front-end operating room nurses.

[0135] Because there are several surgeries, a surgical management system can be used to collect the surgical lists reported by the nurses in each operating room. The surgical management system can be deployed on the background server to manage the demand information reported by the nurses in each operating room. The background server can read the demand information reported by each operating room nurse through the nursing terminal PDA device, etc., to understand the type of surgery in each operating room, and input the information such as the type of surgery into the pre-trained and deployed AI recognition model (i.e., the standard instrument package database equipped with the AI ​​recognition model). The model intelligently identifies and matches the surgical material list that matches the current surgical type, and sends it to the hospital material station to prepare the corresponding surgical material package (i.e., the target demand instrument package in the present invention). By adopting the above scheme, the instrument package in use can be scheduled and managed in the background in real time. At the same time, the process of medical staff preparing the instrument package of the corresponding surgical type can be managed, and it can be judged whether the supervision is wrong.

[0136] The technical effects of the present invention include:

[0137] 1. Preoperative intelligent recommendation: Instrument preparation is automatically pushed based on the surgical schedule to improve preparation efficiency;

[0138] 2. Real-time status visualization: Each instrument box is located and updated in real time to reduce the risk of loss;

[0139] 3. Intelligent linkage of dispatching: Linking transfer equipment with automatic distribution, realizing "equipment looking for people" instead of "people looking for equipment";

[0140] 4. Optimal route allocation: The platform automatically selects the optimal route and transfer sequence to reduce resource conflicts;

[0141] 5. Automatic comparison and recovery after surgery: Postoperative recovery is automatically compared with preoperative configuration to ensure a safe closed loop.

[0142] The key innovations of this invention include: 1. An instrument scheduling algorithm based on preoperative scheduling; 2. An integrated system for instrument positioning and status monitoring; 3. A unified scheduling platform across departments and nodes; 4. Automatic path planning and intelligent recommendation mechanism; 5. An intraoperative status comparison and postoperative recovery closed-loop traceability mechanism.

[0143] The key combination solutions in the present invention include: 1. Scheduling algorithm + real-time positioning module + status recognition module; 2. Multi-system docking (HIS + SPD + WMS) + cross-platform collaborative logic; 3. Full-cycle intelligent management and control before, during and after surgery.

[0144] In addition, the present invention may also have the following replacement schemes: 1. System mode replacement: from a centralized platform to a distributed edge computing architecture; 2. Scheduling logic replacement: from being driven by the current surgical schedule to being driven by AI-predicted surgical plan trends; 3. Control device replacement: from a software platform-linked automatic vehicle to a scheduling instruction-linked manual operating table; 4. Identification method change: change to full visual recognition (no label required) or use pressure sensing + position coding.

[0145] In addition, the present invention can be combined with electronic medical records (EMR) to provide a traceable basis for postoperative infections and errors; it can be extended to the use and scheduling system of medical consumables and high-value consumables; the platform can form a complete big data analysis module to provide decision support for the hospital's refined operations.

[0146] Furthermore, if Figure 5 As shown, based on the above-mentioned intelligent scheduling method for surgical instruments, the present invention also provides an intelligent scheduling system for surgical instruments, wherein the intelligent scheduling system for surgical instruments includes:

[0147] A target required instrument package determination module 51 is configured to obtain a target surgery type from the target surgery information and determine a target required instrument package according to the target surgery type;

[0148] The target scheduling instrument package determination module 52 is used to obtain multi-dimensional information of the target demand instrument package, calculate the scheduling score of the target demand instrument package based on the multi-dimensional information, and determine the target scheduling instrument package based on the scheduling score;

[0149] The instrument transport path generation module 53 is used to obtain the instrument status of the target scheduling instrument package, obtain a path generation factor according to the instrument status and the target surgery information, and perform path planning processing according to the path generation factor to obtain the instrument transport path;

[0150] The target-scheduled instrument package transportation module 54 is configured to determine an instrument transportation device according to the target-scheduled instrument package, and control the instrument transportation device to transport the target-scheduled instrument package to a target operating room along the instrument transfer path.

[0151] Furthermore, if Figure 6 As shown, based on the above-mentioned intelligent scheduling method and system for surgical instruments, the present invention also provides a terminal, which includes a processor 10, a memory 20 and a display 30. Figure 6 Only some of the components of the terminal are shown, but it should be understood that implementation of all of the shown components is not required, and more or fewer components may be implemented instead.

[0152] In some embodiments, the memory 20 can be an internal storage unit of the terminal, such as a hard disk or memory of the terminal. In other embodiments, the memory 20 can also be an external storage device of the terminal, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the terminal. Furthermore, the memory 20 can also include both an internal storage unit of the terminal and an external storage device. The memory 20 is used to store application software and various types of data installed on the terminal, such as the program code of the installation terminal. The memory 20 can also be used to temporarily store data that has been output or is to be output. In one embodiment, the memory 20 stores an intelligent scheduling program 40 for surgical instruments, and the intelligent scheduling program 40 for surgical instruments can be executed by the processor 10, thereby realizing the intelligent scheduling method for surgical instruments in the present application.

[0153] In some embodiments, the processor 10 may be a central processing unit (CPU), a microprocessor, or other data processing chip, configured to execute program codes or process data stored in the memory 20, such as executing the intelligent scheduling method of the surgical instrument.

[0154] In some embodiments, the display 30 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch screen, etc. The display 30 is used to display information on the terminal and to display a visual user interface.

[0155] In one embodiment, the steps of the method for intelligent scheduling of surgical instruments are implemented when the processor 10 executes the intelligent scheduling program 40 for surgical instruments in the memory 20 .

[0156] In summary, the present invention provides an intelligent scheduling method, system, and terminal for surgical instruments, the method comprising: obtaining the target surgery type in the target surgery information, and determining the target demand instrument package based on the target surgery type; obtaining multi-dimensional information of the target demand instrument package, calculating the scheduling score of the target demand instrument package based on the multi-dimensional information, and determining the target scheduling instrument package based on the scheduling score; obtaining the instrument status of the target scheduling instrument package, obtaining a path generation factor based on the instrument status and the target surgery information, and performing path planning processing based on the path generation factor to obtain an instrument transfer path; determining an instrument transport device based on the target scheduling instrument package, and controlling the instrument transport device to transport the target scheduling instrument package to the target operating room according to the instrument transfer path. By obtaining multi-dimensional information corresponding to the target demand instrument package required for the target surgery, the present invention can determine a target scheduling instrument package that meets both surgical requirements and scheduling requirements based on the multi-dimensional information. Afterwards, path planning is performed based on the instrument status of the target scheduling instrument package and the transportation channel of the target operating room, thereby obtaining the instrument transfer path, which can effectively ensure that the target scheduling instrument package arrives at the target operating room on time. This not only realizes the reasonable configuration and scheduling of surgical instruments, but also effectively improves the efficiency of surgical instrument use.

[0157] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or terminal comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or terminal. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or terminal comprising the element.

[0158] Of course, those skilled in the art will appreciate that all or part of the processes in the above-described method embodiments can be implemented by instructing related hardware (such as a processor, controller, etc.) through a computer program. The program can be stored in a computer-readable storage medium that can be read by a computer. When the program is executed, it can include the processes in the above-described method embodiments. The computer-readable storage medium can be a memory, a magnetic disk, an optical disk, etc.

[0159] It should be understood that the application of the present invention is not limited to the above examples. For those skilled in the art, improvements or changes can be made based on the above description. All these improvements and changes should fall within the scope of protection of the claims attached to the present invention.

Claims

1. An intelligent scheduling method for surgical instruments, characterized in that: The intelligent scheduling method for surgical instruments includes: Obtaining a target surgery type from the target surgery information, and determining a target required instrument package according to the target surgery type; Acquiring multi-dimensional information of the target demand instrument package, calculating a scheduling score of the target demand instrument package based on the multi-dimensional information, and determining a target scheduling instrument package based on the scheduling score; Acquiring the instrument status of the target scheduling instrument package, obtaining a path generation factor according to the instrument status and the target surgery information, and performing path planning processing according to the path generation factor to obtain an instrument transport path; An instrument transport device is determined according to the target scheduled instrument package, and the instrument transport device is controlled to transport the target scheduled instrument package to a target operating room according to the instrument transfer path.

2. The intelligent scheduling method for surgical instruments according to claim 1, characterized in that: The step of obtaining the target surgery type in the target surgery information and determining the target required instrument package according to the target surgery type specifically includes: Obtaining a surgery schedule within a preset time period, and determining target surgery information in the surgery schedule, wherein the target surgery information includes target surgery name, target surgery type, and surgery time; A standard instrument package database is determined, and surgical instrument matching processing is performed in the standard instrument package database according to the target surgery type to obtain a target required instrument package.

3. The intelligent scheduling method for surgical instruments according to claim 1, characterized in that: The target demand instrument packages include multiple basic instrument packages and multiple specialist instrument packages; The acquiring multi-dimensional information of the target demand instrument package, calculating the scheduling score of the target demand instrument package according to the multi-dimensional information, and determining the target scheduling instrument package according to the scheduling score specifically includes: Obtaining multi-dimensional information of each of the basic instrument kits and each of the specialized instrument kits, wherein the multi-dimensional information includes instrument inventory status, instrument available location, and instrument usage frequency; A heuristic scoring model is used to calculate a scheduling score for each of the basic instrument packages and each of the specialist instrument packages based on the inventory status of the instruments, the available locations of the instruments, and the frequency of use of the instruments; The target basic instrument package and target specialist instrument package with the highest scheduling score in the target demand instrument package are extracted, and the target basic instrument package and the target specialist instrument package are combined to obtain a target scheduling instrument package.

4. The intelligent scheduling method for surgical instruments according to claim 2, characterized in that: The method further comprises: obtaining multi-dimensional information of the target demand instrument package, calculating a scheduling score of the target demand instrument package according to the multi-dimensional information, and determining a target scheduling instrument package according to the scheduling score; and then further comprising: When an instrument scheduling conflict occurs in the target scheduling instrument package, the surgical priority information of the target surgery and the conflicting surgery is obtained, wherein the surgical priority information includes the urgency of the surgery, the order of the surgery scheduling, and the patient's condition level; Determine a priority operation between the target operation and the conflicting operation according to the operation priority information, and assign the target scheduling instrument package to the priority operation; Alternatively, a backup instrument package having the same function as the target scheduling instrument package is searched in the standard instrument package database, and the backup instrument package is allocated to the target surgery or the conflicting surgery.

5. The intelligent scheduling method for surgical instruments according to claim 1, characterized in that: The step of obtaining the instrument status of the target scheduling instrument package, obtaining a path generation factor according to the instrument status and the target surgery information, and performing path planning processing according to the path generation factor to obtain an instrument transport path may also include: Setting an instrument identification code for each instrument package and binding the instrument identification code to each instrument package; An instrument identification device is provided to identify the instrument identification code through the instrument identification device to obtain identification information of each instrument package, wherein the identification information includes the instrument identification code, a timestamp, and an identification location.

6. The intelligent scheduling method for surgical instruments according to claim 5, characterized in that: The acquiring of the instrument status of the target scheduling instrument package, obtaining a path generation factor according to the instrument status and the target surgery information, and performing path planning processing according to the path generation factor to obtain an instrument transport path specifically includes: Obtaining a target timestamp and a target identification position of the target scheduling instrument package, obtaining an instrument status of the target scheduling instrument package according to the target timestamp and the target identification position, and constructing a path generation factor according to the instrument status and the target surgery information; Determining the operating room location of the target operating room, and performing a path search based on the target identification location and the operating room location to obtain multiple transportation paths; The path weight of each of the transport paths is calculated according to the path generation factor, and the transport path with the largest path weight among the multiple transport paths is extracted as the equipment transfer path.

7. The intelligent scheduling method for surgical instruments according to claim 1, characterized in that: The method further includes determining an instrument transport device according to the target scheduled instrument package, controlling the instrument transport device to transport the target scheduled instrument package to the target operating room according to the instrument transfer path, and then: When the target scheduled instrument package is transported to the target operating room, the target scheduled instrument package is subjected to instrument identification processing to obtain a first instrument identification result, and the first instrument identification result is compared with a preset instrument list to obtain a first comparison result; When the target surgery is completed, the instrument identification process is performed again to obtain a second instrument identification result, and the second instrument identification result is compared with the preset instrument list to obtain a second comparison result; It is determined whether the target scheduling instrument kit is missing or omitted based on the first comparison result and the second comparison result to ensure that the target surgery is completed normally.

8. An intelligent scheduling system for surgical instruments, characterized in that: The intelligent scheduling system for surgical instruments includes: A target required instrument package determination module is used to obtain the target surgery type in the target surgery information and determine the target required instrument package according to the target surgery type; a target scheduling instrument package determination module, configured to obtain multi-dimensional information of the target demand instrument package, calculate a scheduling score of the target demand instrument package based on the multi-dimensional information, and determine the target scheduling instrument package based on the scheduling score; An instrument transport path generation module is used to obtain the instrument status of the target scheduling instrument package, obtain a path generation factor based on the instrument status and the target surgery information, and perform path planning processing based on the path generation factor to obtain an instrument transport path; The target scheduling instrument package transportation module is used to determine the instrument transportation equipment according to the target scheduling instrument package, and control the instrument transportation equipment to transport the target scheduling instrument package to the target operating room according to the instrument transfer path.

9. A terminal, characterized in that: The terminal includes: a memory, a processor, and an intelligent scheduling program for surgical instruments stored in the memory and runnable on the processor. When the intelligent scheduling program for surgical instruments is executed by the processor, the steps of the intelligent scheduling method for surgical instruments as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores an intelligent scheduling program for surgical instruments, and when the intelligent scheduling program for surgical instruments is executed by a processor, the steps of the intelligent scheduling method for surgical instruments according to any one of claims 1 to 7 are implemented.

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