Method and device for automatically associating operating room equipment with patients

Abstract

The present invention discloses a method and device for automatically associating operating room equipment with patients. The method comprises: sensing the difference in low-frequency electromagnetic energy generated by the equipment under different working states through non-invasive means to obtain a state set and a position set of several medical devices during the patient's surgery; transmitting the state set and the position set to a central management server through long-distance radio or Bluetooth broadcasting, and associating them with the patient's information to generate equipment usage records for the several medical devices. The present invention proposes a method and device for automatically associating operating room equipment with patients. Through the comprehensive application of non-invasive sensing technology, long-distance wireless transmission technology, and Internet of Things technology, real-time monitoring of medical equipment status and location information is achieved, thereby effectively associating information. This method can solve the problem of difficulty in sensing equipment status and location through non-invasive means, thereby achieving automatic association of equipment and patient information throughout the entire surgical cycle.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a method and device for automatically associating operating room equipment with patients. Background Art

[0002] In modern hospital operating rooms, the use of medical equipment is a critical component of the surgical process. Every surgery relies on a variety of medical devices, such as anesthesia machines, surgical lights, and monitors. Intraoperative equipment usage records provide detailed information about the use and status of medical equipment during the procedure. These records are a crucial component of medical quality management, enabling medical institutions to promptly identify and correct improper use or potential issues with equipment, thereby ensuring safe and standardized medical practices. Currently, intraoperative equipment usage records and their association with patients are primarily recorded manually, and traditional equipment monitoring solutions mostly rely on device interface protocols or current and power sensing.

[0003] However, manual recording is not only inefficient, but also carries the risk of incomplete or erroneous records throughout the operation. Furthermore, relying on device interface protocols or current power sensing methods to monitor equipment can lead to issues such as interface occupancy and device overload, and makes it difficult to achieve efficient integration with IoT systems. Summary of the Invention

[0004] The present invention provides a method and device for automatically associating operating room equipment with patients, so as to solve the problem that it is difficult to perceive the status and position of equipment in a non-invasive manner, thereby realizing automatic association of equipment and patient information throughout the entire operation cycle.

[0005] By non-invasively sensing the differences in low-frequency electromagnetic energy generated by the devices in different operating states, a set of states and positions of several medical devices during the patient's surgery is obtained; wherein the several medical devices are determined based on the specific type of surgery to be performed on the patient and the actual surgical needs;

[0006] The status set and location set are transmitted to a central management server via long-distance radio or Bluetooth broadcasting, and are associated with the patient's information to generate device usage records for the multiple medical devices.

[0007] The present invention can monitor the working status and position changes of the device in real time by sensing the difference in low-frequency electromagnetic energy generated by the device under different working states. This non-invasive sensing method avoids errors and failures caused by improper sensor installation or contact problems, and can improve the accuracy of the data. The device status set and location set are transmitted to the central management server in real time using long-distance radio or Bluetooth broadcast technology, which can avoid the inconvenience and limitations brought by wired connections and improve the efficiency and flexibility of data transmission. The status set and location set transmitted to the central management server are associated with the patient's information to generate a device usage record. This automated processing method not only reduces the tediousness and errors of manual operations, but also improves the efficiency and accuracy of data processing.

[0008] Compared with the existing technology, the present invention realizes real-time monitoring of the status and location information of medical equipment through the comprehensive application of non-invasive sensing technology, long-distance wireless transmission technology and Internet of Things technology, thereby performing effective information association. Therefore, it can solve the problem of difficulty in sensing the status and location of equipment in a non-invasive way, thereby realizing automatic association of equipment and patient information throughout the entire surgical cycle.

[0009] As a preferred solution, the difference in low-frequency electromagnetic energy generated by the equipment in different working states is sensed in a non-invasive manner to obtain the state set and position set of several medical devices during the patient's surgery, specifically:

[0010] When the operation on the patient begins, generating an operation record based on the equipment information and personnel information of the operation, and locking the plurality of medical devices;

[0011] sensing, in a non-invasive manner, differences in low-frequency electromagnetic energy generated by the plurality of medical devices in different working states, to obtain the state set of the plurality of medical devices during the patient surgery;

[0012] The floor and location of the operation are calculated according to the signal strength received by the Bluetooth beacon, and the location set of the medical devices during the patient's operation is obtained.

[0013] This preferred solution uses a non-invasive method to sense the differences in low-frequency electromagnetic energy generated by the device under different operating conditions. This allows real-time monitoring of the medical device's status and location, helping to promptly detect device anomalies and avoid safety hazards during surgery. Furthermore, this non-invasive sensing method does not interfere with the device's normal operation, ensuring the continuity and stability of the surgery. By acquiring the location set of medical devices during surgery, precise tracking and management of the devices is possible.

[0014] As a preferred solution, the state set of the medical devices during the patient surgery is obtained by sensing the difference in low-frequency electromagnetic energy generated by the medical devices in different working states in a non-invasive manner, specifically:

[0015] Acquiring real-time low-frequency electromagnetic wave energy radiated by the medical devices through an inductive sensor of a non-invasive device; wherein the non-invasive device is based on the principle of electromagnetic induction and is established according to the inductive sensor and a signal processing module;

[0016] performing signal conditioning on the real-time low-frequency electromagnetic wave energy by a signal processing module of the non-invasive device to obtain an electromagnetic energy value set;

[0017] Based on the electromagnetic characteristics of the equipment, the equipment usage status corresponding to the electromagnetic energy value set is determined according to the mapping relationship between the electromagnetic energy value and the equipment status, and the status set of the medical equipment during the patient surgery is obtained.

[0018] In this preferred solution, the highly sensitive inductive sensor can detect minute changes in physical quantities and convert them into electrical signals for output, enabling the system to accurately capture the low-frequency electromagnetic energy of medical devices. Because medical devices in different states radiate electromagnetic waves of varying intensities and frequencies, determining the state of a medical device based on its electromagnetic characteristics offers high accuracy and reliability.

[0019] As a preferred solution, the floor and location of the surgery are calculated based on the signal strength received by the Bluetooth beacon, and the location set of the medical devices during the patient's surgery is obtained, specifically:

[0020] Continuously receiving Bluetooth signals within the range of the plurality of medical devices according to the positioning receiver to obtain RSS signals of Bluetooth beacons;

[0021] The RSS signal is smoothed, and the processed RSS signal is compared with a preset fingerprint library to obtain the position set of several medical devices corresponding to the collection point with the highest similarity.

[0022] In this preferred solution, the RSS signal emitted by the Bluetooth beacon is relatively stable, which helps to reduce signal interference and errors; by continuously receiving Bluetooth signals and performing smoothing processing, the impact of signal fluctuations on positioning accuracy can be further reduced.

[0023] As a preferred solution, the fingerprint library is specifically:

[0024] Determine the location coverage area where the surgery is taking place based on Bluetooth beacons;

[0025] Within the positioning coverage area, move along a preset marked straight line at a stable and uniform speed to obtain a set of Bluetooth beacon signal strengths corresponding to several single acquisition paths;

[0026] The Bluetooth beacon signal strength set is stored according to the location points and signal characteristics to obtain the fingerprint library.

[0027] This preferred solution avoids signal strength fluctuations caused by speed changes or unstable paths by moving at a steady and uniform speed within the positioning coverage area while collecting Bluetooth beacon signal strength. This ensures that the signal strength data collected each time is accurate and reliable. Each record in the fingerprint library contains a location point and the corresponding Bluetooth beacon signal characteristics. By matching these with the real-time collected signal strength, the device's location can be precisely determined. This matching method is highly accurate and meets the needs of high-precision positioning scenarios such as operating rooms.

[0028] As a preferred solution, the state set and location set are transmitted to a central management server via long-distance radio or Bluetooth broadcasting, and are associated with the patient's information to generate device usage records for the multiple medical devices, specifically:

[0029] Based on a preset anti-interference technology, the state set and the location set are transmitted to the central management server by controlling the radio signal to jump between a plurality of frequencies; or based on a preset anti-congestion technology, the state set and the location set are transmitted to the central management server by penetrating obstacles by Bluetooth broadcast reflection;

[0030] In the central management server, based on the state set and the location set, the device actually used during the patient's surgery is determined by a timestamp matching rule to obtain actual device usage information;

[0031] The actual usage information of the device is associated with the information of the patient to obtain the device usage record.

[0032] This preferred solution effectively avoids signal interference and ensures stable and reliable data transmission by controlling the radio signal to jump between several frequencies. By utilizing Bluetooth broadcast reflection to penetrate obstacles, data transmission continuity can be maintained even in congested channels, ensuring real-time updates of device status and location sets. Furthermore, in medical surgical environments, electromagnetic interference may be generated by the simultaneous operation of multiple devices. Anti-interference and anti-congestion technologies can address the issue of interference between multiple surgical devices during data transmission, ensuring accurate transmission of status and location data from multiple devices.

[0033] As a preferred solution, in the central management server, based on the state set and the location set, the device actually used during the patient's surgery is determined by a timestamp matching rule to obtain the actual device usage information, specifically:

[0034] In the central management server, determining the usage time periods occupied by the plurality of medical devices during actual use according to the state set and the location set;

[0035] Obtaining the surgical time period from when the patient enters the operating room and begins surgery to when the patient leaves the operating room after surgery;

[0036] By comparing the usage time period with the operation time period, the device set actually used by the patient during the operation is obtained, and information on the device set is used as the actual device usage information.

[0037] This preferred solution can accurately track the use of medical equipment by accurately recording the use time period of medical equipment and the patient's surgery time period, avoiding equipment use disputes caused by time ambiguity or inaccurate records in traditional methods.

[0038] As a preferred solution, the anti-interference technology is specifically:

[0039] Establishing the anti-interference technology based on network layout and frequency band selection optimization technology, signal enhancement and interference suppression technology, and power regulation and optimization technology;

[0040] Among them, the network layout and frequency band selection optimization technology is achieved by adjusting the base station layout and radio frequency band in the wireless communication technology network, the signal enhancement and interference suppression technology is achieved by expanding the signal coverage range and controlling the signal frequency hopping, and the power regulation and optimization technology is achieved by adjusting the radio transmission power.

[0041] This preferred solution optimizes signal transmission paths and reduces signal attenuation and interference by adjusting the base station layout within the wireless communication technology network. Selecting the appropriate radio frequency band reduces frequency congestion and interference, improving signal transmission efficiency and accuracy. Reducing interference by controlling signal frequency hopping helps ensure signal clarity and accuracy during transmission, enhancing communication system performance. Anti-interference technologies such as network layout, frequency band selection, and signal enhancement can be flexibly adjusted based on actual environmental requirements, enabling the communication system to better adapt to the needs of different environments and scenarios, improving system flexibility and scalability.

[0042] As a preferred solution, after generating the device usage records of the plurality of medical devices, the method further includes:

[0043] Before the operation on the patient begins, checking whether the quantity of surgical instruments and drugs meets the preset values according to the type of operation, and checking whether the surgical instruments meet the preset safety standards, and obtaining safety inspection results;

[0044] By evaluating whether the medical staff followed the preset surgical procedures during the operation, the surgical operation compliance inspection results were obtained;

[0045] The safety inspection result and the surgical operation compliance inspection result are added to the equipment usage record.

[0046] This preferred solution ensures that the number of surgical instruments and medicines meets the preset values before surgery, ensuring that the surgery will not be interrupted or delayed due to a lack of necessary instruments or medicines, thereby improving surgical safety. At the same time, checking whether the surgical instruments meet the preset safety standards can effectively avoid the use of defective or substandard instruments for surgery, further reducing surgical risks. By assessing whether the medical staff strictly follows the preset surgical operating procedures during the operation, it can ensure that every step of the surgical operation meets medical standards and regulations, thereby improving the success rate of the operation and the patient's recovery effect. This full-cycle detection and recording method is conducive to ensuring the smooth progress of the operation and ensuring the traceability of data.

[0047] The present application also provides an automatic association device for operating room equipment and patients, comprising a data module and an association module;

[0048] The data module is used to sense the difference in low-frequency electromagnetic energy generated by the device in different working states in a non-invasive manner to obtain a state set and position set of multiple medical devices during the patient's surgery; wherein the multiple medical devices are determined based on the specific type of surgery to be performed on the patient and the actual surgical needs;

[0049] The association module is used to transmit the status set and location set to the central management server via long-distance radio or Bluetooth broadcasting, and associate them with the patient's information to generate device usage records of the multiple medical devices.

[0050] As a preferred solution, the data module includes a pre-processing unit, a state unit and a position unit;

[0051] The pre-processing unit is configured to generate an operation record based on the equipment information and personnel information of the operation and lock the plurality of medical devices when the operation on the patient begins;

[0052] The state unit is configured to sense, in a non-invasive manner, differences in low-frequency electromagnetic energy generated by the plurality of medical devices in different working states, and obtain the state set of the plurality of medical devices during the patient surgery;

[0053] The location unit is used to calculate the floor and location of the operation according to the signal strength received by the Bluetooth beacon, and obtain the location set of the multiple medical devices during the patient's operation.

[0054] As a preferred solution, the state unit includes an energy subunit, a conditioning subunit and a mapping subunit;

[0055] The energy subunit is used to obtain the real-time low-frequency electromagnetic wave energy radiated by the medical devices through the inductive sensor of the non-invasive device; wherein the non-invasive device is based on the principle of electromagnetic induction and is established according to the inductive sensor and the signal processing module;

[0056] The conditioning subunit is configured to perform signal conditioning on the real-time low-frequency electromagnetic wave energy through the signal processing module of the non-invasive device to obtain an electromagnetic energy value set;

[0057] The mapping subunit is used to determine the device usage status corresponding to the electromagnetic energy value set based on the electromagnetic characteristics of the device and the mapping relationship between the electromagnetic energy value and the device status, and obtain the status set of the several medical devices during the patient surgery.

[0058] As a preferred solution, the position unit includes a signal subunit and a position subunit;

[0059] The signal subunit is configured to continuously receive Bluetooth signals within the range of the plurality of medical devices according to the positioning receiver to obtain RSS signals of Bluetooth beacons;

[0060] The position subunit is used to perform smoothing processing on the RSS signal and compare the processed RSS signal with a preset fingerprint library to obtain a comparison of several medical devices corresponding to the collection point with the highest similarity.

[0061] As a preferred solution, the fingerprint library is specifically:

[0062] Determine the location coverage area where the surgery is taking place based on Bluetooth beacons;

[0063] Within the positioning coverage area, move along a preset marked straight line at a stable and uniform speed to obtain a set of Bluetooth beacon signal strengths corresponding to several single acquisition paths;

[0064] The Bluetooth beacon signal strength set is stored according to the location points and signal characteristics to obtain the fingerprint library.

[0065] As a preferred solution, the association module includes a transmission unit, a device unit and a recording unit;

[0066] The transmission unit is configured to transmit the state set and the position set to the central management server by controlling the radio signal to hop between a plurality of frequencies based on a preset anti-interference technology; or to transmit the state set and the position set to the central management server by penetrating obstacles through Bluetooth broadcast reflection based on a preset anti-congestion technology;

[0067] The device unit is configured to determine, in the central management server, based on the state set and the location set, the device actually used during the patient's surgery by using a timestamp matching rule to obtain actual device usage information;

[0068] The recording unit is used to associate the actual usage information of the device with the patient information to obtain the device usage record.

[0069] As a preferred solution, the equipment unit includes an occupancy subunit, a usage subunit and a comparison subunit;

[0070] The occupancy subunit is configured to determine, in the central management server, the usage time periods occupied by the plurality of medical devices during actual use according to the state set and the location set;

[0071] The use subunit is used to obtain the operation time period from the patient entering the operating room to start the operation to the patient leaving the operating room after the operation;

[0072] The comparison subunit is configured to obtain a set of equipment actually used by the patient during the operation by comparing the usage time period with the operation time period, and use information of the equipment set as the actual equipment usage information.

[0073] As a preferred solution, the anti-interference technology is specifically:

[0074] Establishing the anti-interference technology based on network layout and frequency band selection optimization technology, signal enhancement and interference suppression technology, and power regulation and optimization technology;

[0075] Among them, the network layout and frequency band selection optimization technology is achieved by adjusting the base station layout and radio frequency band in the wireless communication technology network, the signal enhancement and interference suppression technology is achieved by expanding the signal coverage range and controlling the signal frequency hopping, and the power regulation and optimization technology is achieved by adjusting the radio transmission power.

[0076] As a preferred solution, after the association module, it further includes a first inspection unit, a second inspection unit and a synthesis unit;

[0077] The first inspection unit is configured to inspect whether the quantity of surgical instruments and drugs meets preset values according to the type of surgery before the operation on the patient begins, and to inspect whether the surgical instruments meet preset safety standards, thereby obtaining safety inspection results.

[0078] The second inspection unit is used to obtain a surgical operation compliance inspection result by evaluating whether the medical staff complies with the preset surgical operation procedures during the operation;

[0079] The integration unit is used to add the safety inspection result and the surgical operation compliance inspection result to the equipment usage record.

[0080] The present application also provides a storage medium having a computer program stored thereon. The computer program is called and executed by a computer to implement the above-mentioned method for automatically associating operating room equipment with patients. BRIEF DESCRIPTION OF THE DRAWINGS

[0081] Figure 1 This is a flow chart of a method for automatically associating operating room equipment with patients provided in an embodiment of the present application;

[0082] Figure 2 This is a structural diagram of an automatic association device between operating room equipment and patients provided in an embodiment of the present application. DETAILED DESCRIPTION

[0083] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0084] In the description of the present application, unless otherwise specified, “several” means two or more.

[0085] The embodiment of the present application provides a method for automatically associating operating room equipment with patients, which is mainly used when it is necessary to realize real-time monitoring of the status and position of surgical equipment throughout the entire operation cycle, and automatically record the equipment information used by the patient during the operation, thereby overcoming the low efficiency and poor accuracy of equipment monitoring and recording in existing surgical management.

[0086] Example 1:

[0087] See also Figure 1 The embodiment of the present application provides a method for automatically associating operating room equipment with patients, including S1 to S2. The specific implementation steps are as follows:

[0088] S1. Non-invasively sense the differences in low-frequency electromagnetic energy generated by devices in different working states, and obtain the state sets and position sets of several medical devices during patient surgery.

[0089] Step S1 of the embodiment of the present application includes S1.1 to S1.4, wherein S1.1 is a process of performing data preprocessing, S1.2 is a process of generating a status set of medical devices, S1.3 is a process of establishing a fingerprint library, and S1.4 is a process of generating a location set of medical devices, specifically:

[0090] S1.1. Record the patient's surgery time, operating room number, surgery type, and detailed information of medical staff through the surgery management system;

[0091] When the patient's surgery begins, the surgical management system is controlled to generate a surgical record based on detailed information such as the equipment information and personnel information of the surgery, and lock the resource information related to several medical devices in the operating room within a preset specific time period, including the operating room number, the start and end time of the surgery, and the surgical instruments, etc.; the end time includes the preset end time and the actual end time; the several medical devices are determined based on the specific type of surgery to be performed on the patient, the actual needs of the surgery, and the monitoring and support equipment that may be needed during the surgery.

[0092] The preset end time is determined as follows:

[0093] ① Historical data: The surgical management system analyzes historical data of similar surgical types, combines the complexity of the surgery, the patient's physical condition, and the experience of the surgeon, and derives the preset end time of the surgery; among them, historical data includes the average duration and standard deviation of similar types of surgery.

[0094] ② Physician and surgical team experience: Through feedback from the surgeon and other surgical team members, the estimated duration is further adjusted based on their subjective assessment of the complexity of the surgery. For example, in some cases, the surgeon may inform the surgeon in advance of the particular complexity of the surgery, and the estimated end time may be extended accordingly.

[0095] ③ Equipment Usage: The system uses data from medical device usage during surgery to further determine the planned end time of the surgery. For example, prolonged use of key equipment (e.g., anesthesia machines, surgical lights, etc.) can indicate to the system that the surgery may be running longer than expected, and can trigger an alert to alert the surgical team to potential issues during the procedure.

[0096] The actual end time is locked and adjusted as follows:

[0097] ①Entering the end time of the operation: When the operation actually ends, the circulating nurse or other personnel will manually enter the end time in the operation management system.

[0098] ② Data Locking and Adjustment: The final data for a given surgery, including surgery duration, equipment usage time, and personnel involvement time, is locked based on the actual end time. If the actual surgery duration differs significantly from the estimated duration, adjustments and optimizations are automatically made accordingly, updating the estimated duration for future similar surgeries to improve the accuracy of surgery duration predictions.

[0099] Integration with IoT systems: This system can track the status and location of equipment in real time to determine the actual end time of a surgery. For example, if a device remains in use for an extended period while a surgery is still ongoing, the system can use this data to predict the likelihood of a delay and update the actual end time in real time.

[0100] It should be noted that the system architecture in this application includes an Internet of Things sensing device, a surgical management system, an equipment positioning and efficiency system, a central management server, and a data storage module.

[0101] S1.2. Based on the device positioning and performance system, the non-invasive device, inductive sensors and nanowatt-class operational amplifiers in the IoT sensing device, continuously and uninterruptedly detect the low-frequency electromagnetic wave energy of several medical devices, thereby obtaining the real-time low-frequency electromagnetic wave energy radiated by the medical devices under different operating conditions. The non-invasive device is based on the principle of electromagnetic induction and is constructed using inductive sensors and signal processing modules.

[0102] Performing high-frequency filtering on the real-time low-frequency electromagnetic wave energy through the signal processing module of the non-invasive device to obtain an electromagnetic energy value set;

[0103] Based on the electromagnetic characteristics of the equipment and the mapping relationship between the electromagnetic energy value and the equipment status, the equipment usage status corresponding to the electromagnetic energy value set is determined, and the status set of several medical devices during the patient operation is obtained.

[0104] This embodiment S1.2 uses a non-invasive method to sense the difference in low-frequency electromagnetic energy generated by the device under different working states, and can monitor the status and location information of the medical device in real time, which helps to promptly detect abnormal conditions of the device and avoid safety hazards during the operation. In addition, the non-invasive sensing method will not cause any interference to the normal operation of the device, ensuring the continuity and stability of the operation. This method does not require connecting to the device port or interacting with the device control system for data. The sensing device can accurately identify the three states of the device: shutdown, standby, and operation. Therefore, this non-invasive sensing method not only avoids the problem of device port occupation, but also greatly reduces the cost and installation complexity of sensing the operating status of the device. By obtaining the location set of the medical device during the operation, accurate tracking and management of the device can be achieved.

[0105] Furthermore, inductive sensors are highly sensitive, capable of sensing minute changes in physical quantities and converting them into electrical signals. This allows the system to accurately capture the low-frequency electromagnetic energy of medical devices. Because medical devices in different states radiate electromagnetic waves of varying intensities and frequencies, determining the state of a medical device based on its electromagnetic characteristics offers high accuracy and reliability.

[0106] S1.3. Determine the location coverage area of the surgery location based on the Bluetooth beacon;

[0107] In the positioning coverage area, hold a mobile phone or other device and move forward along a preset marked straight line at a steady and uniform speed. The Bluetooth beacon signal strength is recorded and evenly distributed on the collection line segment. The Bluetooth beacon signal strength set corresponding to several single collection paths in the positioning coverage area is obtained.

[0108] The Bluetooth beacon signal strength set is stored according to the location point and signal characteristics to obtain a fingerprint library (radiomap);

[0109] Generate floor score array based on fingerprint library Specifically: After the data is collected, a floor score corresponding table is generated first, which is done by traversing the RPs (receiving points) of each floor and The strongest RSS signal (received signal strength) is recorded and obtained Floor score array ;in, Refers to a specific Bluetooth device, Bluetooth tag, Bluetooth beacon, or any other entity that can emit Bluetooth signals and be received by RPs.

[0110] Among them, the floor score array can be expressed as:

[0111]

[0112] in, represents the transpose operation, and Received when collecting on the first floor The strongest RSS and second floor collection received The strongest RSS, For the Received during floor collection The strongest RSS, in dBm. If the floor is not received during the collection The signal is calculated as -100. The paved floor will get the highest score, but if the Bluetooth beacon is deployed close to the hollow area, the score of the upper or lower floor may be close to the score of the paved floor.

[0113] The device positioning and efficiency system relies on IoT technology, requiring the construction of a basic positioning and data transmission network within the operating room. For example, in a layout encompassing 30 operating rooms, 150 Bluetooth beacons (an average of two per operating room) can be deployed to provide operating room-level device positioning. Seven LoRa (Long Range Radio) IoT base stations are also deployed to ensure low-power, long-distance data transmission network coverage.

[0114] Furthermore, the battery-powered Bluetooth beacon is ready for immediate installation, eliminating the wiring required to retrofit traditional operating room equipment. Therefore, this design requires minimal modification to existing operating room facilities. Furthermore, the beacon and base station installation process eliminates the need to lay power or data lines, preventing disruption to normal operating room operations.

[0115] In this embodiment, S1.3, by moving at a steady and uniform speed within the positioning coverage area and collecting Bluetooth beacon signal strength, it avoids signal strength fluctuations caused by speed changes or an unpredictable path, ensuring that the signal strength data collected each time is accurate and reliable. Each record in the fingerprint library contains a location point and a corresponding Bluetooth beacon signal signature. By matching this with the real-time collected signal strength, the device's location can be precisely determined. This matching method is highly accurate and meets the requirements of high-precision positioning scenarios such as operating rooms.

[0116] S1.4. Continuously receiving Bluetooth signals within the range of several medical devices using a positioning receiver built into the IoT device to obtain an RSS signal of the Bluetooth beacon;

[0117] Use a simple one-dimensional Kalman filter to smooth the RSS signal and sort the processed RSS signals from strong to weak RSS as follows: , and its corresponding Take it out, multiply and add the step-by-step weights, get the highest score value and its floor index value, and thus get the actual floor;

[0118] Perform fingerprint similarity on the RPs of the actual floor to obtain a similarity set; take the position corresponding to the highest similarity in the similarity set as the current location of the device to obtain a location set of several medical devices.

[0119] The smoothing formula is:

[0120]

[0121] The highest score and its floor index are:

[0122]

[0123] The formula for fingerprint similarity is:

[0124]

[0125] In the smoothing formula, K is the gain coefficient in the one-dimensional Kalman filter, and the value is set between 0 and 1. The closer K is to 1, the more stable the signal is. In this embodiment, by setting the K value to 0.5, a balance can be achieved between stability and real-time performance. Represents the RSS signal value after smoothing by the Kalman filter at time t-1, Indicates the RSS signal value actually measured at time t;

[0126] Among the highest score values and their floor index values, according to actual measurement experience, K=8 can obtain accurate floor judgment results; is the floor score array, i is the i-th index value sorted from RSS strong to weak;

[0127] In the formula of fingerprint similarity, is the first strongest signal strength after smoothing, is the signal strength corresponding to the i-th strongest signal, Collect the first strongest signal strength for the jth group of fingerprints; Collect the strongest signal strength of the i-th group of fingerprints and take the root mean square of the difference; traverse all the collection points on the floor where the user is located and calculate , The smaller the value, the higher the similarity. The corresponding position is used to output the fingerprint comparison result, that is, .

[0128] In this embodiment S1.4, the RSS signal transmitted by the Bluetooth beacon is relatively stable, which helps reduce signal interference and errors. By continuously receiving Bluetooth signals and performing smoothing processing, the impact of signal fluctuations on positioning accuracy can be further reduced.

[0129] In addition, the fingerprint matching method is more stable than traditional triangulation positioning, especially in complex indoor environments, with higher positioning accuracy.

[0130] S2. The status set and location set are transmitted to the central management server via long-distance radio or Bluetooth broadcasting, and are associated with the patient's information to generate device usage records of several medical devices.

[0131] In the embodiment of the present application, step S2 includes S2.1 to S2.2, wherein S2.1 is the process of transmitting the state set and the location set to the central management server, and S2.2 is the process of performing data association to generate a device usage record, specifically:

[0132] S2.1. Based on the preset data transmission control strategy and confidentiality strategy, the state set and location set are transmitted to the central management server by controlling the radio signal to hop between several frequencies, using anti-interference technology. Alternatively, the state set and location set are transmitted to the central management server by penetrating obstacles, such as by Bluetooth broadcast reflection, using anti-congestion technology.

[0133] After the state set and location set are transmitted to the central management server, the state set is compared with the preset threshold to determine the different electromagnetic energy ranges corresponding to the different states of each device (such as shutdown, standby, and operation), accurately determine the current state of the device, and obtain a more accurate state set.

[0134] The specific data transmission control policies are:

[0135] The energy value return frequency is determined based on the change in energy values detected twice before and after. When the difference in energy value change exceeds 30%, transmission is triggered.

[0136] Set the interval between each transmission to no less than 8 seconds.

[0137] The confidentiality policy is as follows:

[0138] Data during transmission is encrypted using the AES-256 algorithm. Only authorized medical personnel can access and manage device-patient information, review, modify, and analyze it. All data is access-controlled and logged to ensure system security and traceability.

[0139] Among them, the anti-interference technology is:

[0140] Anti-interference technology is established based on network layout and frequency band selection optimization technology, signal enhancement and interference suppression technology, and power regulation and optimization technology. Among them, network layout and frequency band selection optimization technology is achieved by adjusting the base station layout and radio frequency band in the wireless communication technology network, signal enhancement and interference suppression technology is achieved by expanding signal coverage and controlling signal frequency hopping, and power regulation and optimization technology is achieved by adjusting radio transmission power. Specifically:

[0141] ①Optimize the layout of LoRa base stations, suitable for complex buildings, specifically:

[0142] 1) Increase the number of LoRa base stations: Add more base stations in the corners of buildings, areas with thick walls, or areas with severe signal attenuation, and reduce the transmission distance to ensure that each area can receive a strong enough signal.

[0143] 2) Base station deployment based on environmental modeling: Use environmental scanning technology (such as 3D modeling or wireless radio frequency identification) to simulate the LoRa signal coverage in the hospital in advance, and make a reasonable layout of LoRa base stations based on factors such as building structure and wall material to minimize signal dead spots and attenuation.

[0144] ② Select the appropriate LoRa frequency band, suitable for multi-story or multi-room hospital environments, specifically:

[0145] Different LoRa frequency bands have different penetration capabilities. Low-frequency bands (such as 490MHz) perform better at penetrating walls and obstacles. Choosing the right frequency band can effectively reduce signal attenuation.

[0146] ③Use signal repeaters, which are suitable for areas that cannot be directly covered by base stations, specifically:

[0147] Deploy LoRa signal repeaters in the target area to relay the signal and expand the coverage to ensure smooth signal transmission.

[0148] ④ Adopt interference suppression technology to avoid electromagnetic interference generated by various medical equipment in the hospital during operation, specifically:

[0149] 1) Use frequency hopping technology (FHSS): FHSS enables LoRa signals to hop between multiple frequencies, reducing the possibility of interference in a single frequency band, thereby improving the signal's anti-interference ability.

[0150] 2) Shielding materials: Use electromagnetic shielding materials around interference sources to reduce interference, and perform appropriate shielding at the LoRa receiver and transmitter to enhance anti-interference capabilities.

[0151] ⑤ Power regulation, which is used to reduce signal reflection and multipath effects, specifically:

[0152] In areas with shorter transmission distances, the LoRa transmission power can be appropriately reduced to reduce signal reflection and multipath effects (signals bounce and refract in complex environments, resulting in unstable received signals); while in long-distance areas, the transmission power can be increased to enhance coverage.

[0153] Among them, the anti-congestion technologies are:

[0154] ① Channel switching and load balancing are used to avoid channel congestion caused by multiple Bluetooth devices working at the same time. Specifically:

[0155] Dynamically adjust the channel usage of Bluetooth devices through Bluetooth Adaptive Frequency Hopping (AFH) technology.

[0156] ②Increasing the density of Bluetooth gateways is suitable for avoiding signal loss or interference caused by long distance or signal obstruction. Specifically:

[0157] In areas with channel congestion and severe Bluetooth signal attenuation, especially in places where equipment is concentrated, such as operating rooms, the number and density of Bluetooth gateways can be increased to shorten the transmission distance between Bluetooth devices and gateways.

[0158] ③ Avoid body obstruction and device positioning, which is suitable for reducing the impact of medical staff's body obstruction on Bluetooth signal transmission, specifically:

[0159] 1) Multipath reflection: Utilizing the multipath characteristics of Bluetooth signals, Bluetooth devices can penetrate obstacles by reflection. Therefore, Bluetooth devices can be installed in locations such as ceilings or corners to avoid direct body obstruction of signal transmission.

[0160] 2) Multi-device redundant deployment: Install multiple Bluetooth devices or gateways in key areas to ensure that even if the signal of one device is blocked, other devices can still work normally, thereby improving the stability of signal transmission.

[0161] ④ Adjust the Bluetooth transmission power, which is suitable for scenarios where obstacles need to be penetrated or the signal is blocked. Specifically:

[0162] Appropriately increase the transmit power of the Bluetooth device to enhance the signal's penetration. In addition, you can also adjust the antenna angle to optimize the signal's coverage.

[0163] It should be noted that if a more precise time determination of device status changes is required, real-time performance can be improved by increasing the frequency of data transmission. For example, shortening the time interval between each data transmission to 2-3 seconds can significantly improve the system's response speed and provide more accurate device status determination.

[0164] Furthermore, LoRa technology offers the advantages of low power consumption and long-distance transmission, making it suitable for large-area coverage scenarios such as operating rooms. LoRa operating in the 490MHz frequency band can ensure large-scale coverage in single-story hospitals, requiring only a small number of base stations for complete deployment. For operating rooms already equipped with WiFi / Bluetooth networks, data can be transmitted to devices such as Bluetooth gateways via Bluetooth broadcast, enabling more flexible device status monitoring and data transmission.

[0165] In this embodiment, S2.1, by controlling the radio signal to jump between several frequencies, signal interference can be effectively avoided, ensuring the stability and reliability of data transmission. By using Bluetooth broadcast reflection to penetrate obstacles, data transmission continuity can be maintained even in congested channels, ensuring real-time updates of device status and location sets.

[0166] Furthermore, by adjusting the base station layout in the wireless communication technology network, the signal transmission path can be optimized, reducing signal attenuation and interference; selecting the appropriate radio frequency band can reduce frequency band congestion and interference, and improve the efficiency and accuracy of signal transmission. Reducing interference by controlling signal frequency hopping helps ensure the clarity and accuracy of the signal during transmission, thereby improving the performance of the communication system. Technologies such as network layout, frequency band selection, and signal enhancement in anti-interference technology can be flexibly adjusted according to actual environmental requirements, allowing the communication system to better adapt to the needs of different environments and scenarios, and improving the flexibility and scalability of the system. High-frequency filtering processing and transmission mechanisms ensure both monitoring accuracy and a balance between battery consumption and system response.

[0167] In addition, in a medical surgical environment, electromagnetic interference may occur when multiple devices are running simultaneously. Anti-interference and anti-congestion technologies can solve the problem of interference between multiple surgical devices during data transmission, ensuring that the status data and location data of multiple surgical devices can be accurately transmitted.

[0168] S2.2, based on the association module, determining the usage time periods occupied by the plurality of medical devices during actual use according to the state set and the location set;

[0169] Obtain the surgical time period from the time the patient enters the operating room for surgery to the time the patient leaves the operating room after surgery;

[0170] By comparing the usage time period and the operation time period, the device set actually used by the patient during the operation is obtained, and the information of the device set is used as the actual device usage information.

[0171] Before the patient's surgery begins, check whether the quantity of surgical instruments and drugs meets the preset values according to the type of surgery, and check whether the surgical instruments meet the preset safety standards to obtain safety inspection results;

[0172] By evaluating whether the medical staff followed the preset surgical procedures during the operation, the surgical operation compliance inspection results were obtained;

[0173] Conduct a satisfaction survey on postoperative patients and obtain the satisfaction survey results;

[0174] Comprehensive information is composed of safety inspection results, surgical procedure compliance inspection results and satisfaction survey results.

[0175] The actual use information of the equipment is associated with the patient information in the surgical management system to obtain a detailed record of equipment use, and the comprehensive information and the surgical record generated at the beginning of the surgery are added to the equipment use record;

[0176] The device usage records are stored in the central database through the data storage module.

[0177] In this embodiment S2.2, by accurately recording the time period of medical device use and the time period of the patient's surgery, accurate tracking of device usage can be achieved, thus avoiding disputes over device use caused by time ambiguity or inaccurate records in traditional methods.

[0178] Furthermore, by checking whether the quantity of surgical instruments and medicines meets the preset values before surgery, it can be ensured that the surgery will not be interrupted or delayed due to the lack of necessary instruments or medicines, thereby improving the safety of the surgery. At the same time, checking whether the surgical instruments meet the preset safety standards can effectively avoid the use of defective or unqualified instruments for surgery, further reducing the risk of surgery. By evaluating whether the medical staff strictly follow the preset surgical operating procedures during the operation, it can be ensured that every step of the operation meets medical standards and regulations, thereby improving the success rate of the surgery and the patient's recovery effect. This full-cycle detection and recording method is conducive to ensuring the smooth progress of the operation and ensuring the traceability of data.

[0179] Furthermore, in terms of overall system response time, the entire process from a device state change to the system's final determination of the device state involves seamless and continuous sensing, signal processing filtering delays of less than one second, network transmission delays of milliseconds, and server-side device state determination. Therefore, the time difference between the device's true state and the system's displayed state is primarily concentrated in the signal processing phase, typically ranging from one to ten seconds, depending on the frequency of device state changes and transmission conditions. In operating room scenarios, surgical device status information is typically used for recording and subsequent analysis, and the entire surgical process typically lasts one hour or longer. Therefore, a device state determination error of less than 10 seconds is well within acceptable limits for the entire surgical process, addressing time synchronization inaccuracies caused by various factors (such as network latency and device failures) and ensuring the accuracy of timestamp matching.

[0180] Overall, this embodiment has the following beneficial effects:

[0181] This application can monitor the working status and position changes of the device in real time by sensing the difference in low-frequency electromagnetic energy generated by the device under different working states. This non-invasive sensing method avoids errors and failures caused by improper sensor installation or contact problems, and can improve the accuracy of the data. The device status set and location set are transmitted to the central management server in real time using long-distance radio or Bluetooth broadcast technology, which can avoid the inconvenience and limitations brought by wired connections and improve the efficiency and flexibility of data transmission. The status set and location set transmitted to the central management server are associated with the patient's information to generate a record of device usage. This automated processing method not only reduces the tediousness and errors of manual operations, but also improves the efficiency and accuracy of data processing.

[0182] In summary, this application provides an efficient and accurate method for automatically associating operating room equipment with patients by integrating non-invasive device status perception technology, Internet of Things positioning system and surgical management system, significantly improving the efficiency and accuracy of surgical equipment throughout the entire surgical cycle, and providing strong technical support for the automated management and optimized scheduling of medical equipment.

[0183] Example 2:

[0184] See also Figure 2 , an embodiment of the present application provides an automatic association device for operating room equipment and patients, comprising a data module 10 and an association module 20;

[0185] The data module 10 is used to sense the difference in low-frequency electromagnetic energy generated by the equipment in different working states in a non-invasive manner, and obtain the state set and position set of several medical devices during the patient's surgery;

[0186] The association module 20 is used to transmit the status set and the location set to the central management server via long-distance radio or Bluetooth broadcasting, and associate them with the patient's information to generate device usage records of several medical devices.

[0187] In one embodiment, the data module 10 includes a pre-processing unit, an energy sub-unit, a conditioning sub-unit and a mapping sub-unit, a fingerprint library unit, a signal sub-unit and a position sub-unit;

[0188] The preprocessing unit is the process of data preprocessing; the energy subunit, conditioning subunit, and mapping subunit are the processes of generating the state set of the medical device; the fingerprint library unit is the process of establishing the fingerprint library; the signal subunit and position subunit are the processes of generating the position set of the medical device. Specifically:

[0189] The pre-processing unit is used to record the patient's operation time, operating room number, operation type and detailed information of medical staff through the surgery management system;

[0190] The pre-processing unit is also used to control the surgical management system to generate a surgical record based on detailed information such as the equipment information and personnel information of the surgery when the patient's surgery begins, and to lock the resource information related to several medical devices in the operating room within a preset specific time period, including the operating room number, the start and end time of the surgery, and the surgical instruments, etc.; wherein the end time includes the preset end time and the actual end time; wherein the several medical devices are determined based on the specific type of surgery to be performed on the patient, the actual needs of the surgery, and the monitoring and support equipment that may be required during the surgery.

[0191] The preset end time is determined as follows:

[0192] ① Historical data: The surgical management system analyzes historical data of similar surgical types, combines the complexity of the surgery, the patient's physical condition, and the experience of the surgeon, and derives the preset end time of the surgery; among them, historical data includes the average duration and standard deviation of similar types of surgery.

[0193] ② Physician and surgical team experience: Through feedback from the surgeon and other surgical team members, the estimated duration is further adjusted based on their subjective assessment of the complexity of the surgery. For example, in some cases, the surgeon may inform the surgeon in advance of the particular complexity of the surgery, and the estimated end time may be extended accordingly.

[0194] ③ Equipment Usage: The system uses data from medical device usage during surgery to further determine the planned end time of the surgery. For example, prolonged use of key equipment (e.g., anesthesia machines, surgical lights, etc.) can indicate to the system that the surgery may be running longer than expected, and can trigger an alert to alert the surgical team to potential issues during the procedure.

[0195] The actual end time is locked and adjusted as follows:

[0196] ①Entering the end time of the operation: When the operation actually ends, the circulating nurse or other personnel will manually enter the end time in the operation management system.

[0197] ② Data Locking and Adjustment: The final data for a given surgery, including surgery duration, equipment usage time, and personnel involvement time, is locked based on the actual end time. If the actual surgery duration differs significantly from the estimated duration, adjustments and optimizations are automatically made accordingly, updating the estimated duration for future similar surgeries to improve the accuracy of surgery duration predictions.

[0198] Integration with IoT systems: This system can track the status and location of equipment in real time to determine the actual end time of a surgery. For example, if a device remains in use for an extended period while a surgery is still ongoing, the system can use this data to predict the likelihood of a delay and update the actual end time in real time.

[0199] It should be noted that the system architecture in this application includes an Internet of Things sensing device, a surgical management system, an equipment positioning and efficiency system, a central management server, and a data storage module.

[0200] The energy subunit is used to continuously detect the low-frequency electromagnetic wave energy of several medical devices based on the device positioning and efficiency system through the inductive sensors and nanowatt-level operational amplifiers of the non-invasive devices in the Internet of Things sensing device, and obtain the real-time low-frequency electromagnetic wave energy generated by the relevant medical devices in different working states. The non-invasive device is based on the principle of electromagnetic induction and is established with the inductive sensors and signal processing modules.

[0201] a conditioning subunit, configured to perform high-frequency filtering on the real-time low-frequency electromagnetic wave energy through a signal processing module of a non-invasive device to obtain an electromagnetic energy value set;

[0202] The mapping subunit is used to determine the device usage status corresponding to the electromagnetic energy value set based on the electromagnetic characteristics of the device and the mapping relationship between the electromagnetic energy value and the device status, and obtain the status set of several medical devices during the patient operation.

[0203] The energy subunit, conditioning subunit, and mapping subunit of this embodiment sense the difference in low-frequency electromagnetic energy generated by the device under different working states in a non-invasive manner, and can monitor the status and location information of the medical device in real time, which helps to detect abnormal conditions of the device in a timely manner and avoid safety hazards during the operation; and the non-invasive sensing method will not cause any interference to the normal operation of the device, ensuring the continuity and stability of the operation; this method does not require connecting to the device port or interacting with the device control system for data, and the sensing device can accurately identify the three states of the device: shutdown, standby, and operation. Therefore, this non-invasive sensing method not only avoids the problem of device port occupancy, but also greatly reduces the cost and installation complexity of sensing the operating status of the device. By obtaining the location set of the medical device during the operation, accurate tracking and management of the device can be achieved;

[0204] Furthermore, inductive sensors are highly sensitive, capable of sensing minute changes in physical quantities and converting them into electrical signals. This allows the system to accurately capture the low-frequency electromagnetic energy of medical devices. Because medical devices in different states radiate electromagnetic waves of varying intensities and frequencies, determining the state of a medical device based on its electromagnetic characteristics offers high accuracy and reliability.

[0205] A fingerprint library unit, used to determine the positioning coverage area where the surgery is located based on the Bluetooth beacon;

[0206] The fingerprint library unit is also used to hold a mobile phone or other device and move along a preset marked straight line at a stable and uniform speed within the positioning coverage area, so that the Bluetooth beacon signal strength is recorded and evenly distributed on the collection line segment, thereby obtaining a set of Bluetooth beacon signal strengths corresponding to several single collection paths within the positioning coverage area;

[0207] The fingerprint library unit is also used to store the Bluetooth beacon signal strength set according to the location points and signal characteristics to obtain a fingerprint library (radio map);

[0208] The fingerprint library unit is also used to generate a floor score array based on the fingerprint library Specifically: After the data is collected, a floor score corresponding table is generated first, which is done by traversing the RPs (receiving points) of each floor and The strongest RSS signal (received signal strength) is recorded and obtained Floor score array ;in, Refers to a specific Bluetooth device, Bluetooth tag, Bluetooth beacon, or any other entity that can emit Bluetooth signals and be received by RPs.

[0209] Among them, the floor score array can be expressed as:

[0210] in, represents the transpose operation, and Received when collecting on the first floor The strongest RSS and second floor collection received The strongest RSS, For the Received during floor collection The strongest RSS, in dBm. If the floor is not received during the collection The signal is calculated as -100. The paved floor will get the highest score, but if the Bluetooth beacon is deployed close to the hollow area, the score of the upper or lower floor may be close to the score of the paved floor.

[0211] The device positioning and efficiency system relies on IoT technology, requiring the construction of a basic positioning and data transmission network within the operating room. For example, in a layout encompassing 30 operating rooms, 150 Bluetooth beacons (an average of two per operating room) can be deployed to provide operating room-level device positioning. Seven LoRa (Long Range Radio) IoT base stations are also deployed to ensure low-power, long-distance data transmission network coverage.

[0212] Furthermore, the battery-powered Bluetooth beacon is ready for immediate installation, eliminating the wiring required to retrofit traditional operating room equipment. Therefore, this design requires minimal modification to existing operating room facilities. Furthermore, the beacon and base station installation process eliminates the need to lay power or data lines, preventing disruption to normal operating room operations.

[0213] The fingerprint library unit in this embodiment avoids signal strength fluctuations caused by speed changes or unstable paths by moving at a steady and uniform speed within the positioning coverage area while collecting Bluetooth beacon signal strength. This ensures that the signal strength data collected each time is accurate and reliable. Each record in the fingerprint library contains a location point and the corresponding Bluetooth beacon signal characteristics. By matching these with the real-time collected signal strength, the device's location can be precisely determined. This matching method is highly accurate and meets the requirements of high-precision positioning scenarios such as operating rooms.

[0214] a signal subunit, configured to continuously receive Bluetooth signals within the range of a plurality of medical devices according to a positioning receiver built into the IoT device, and obtain an RSS signal of the Bluetooth beacon;

[0215] The position subunit is used to smooth the RSS signal using a simplified one-dimensional Kalman filter and sort the processed RSS signals from strong to weak RSS. , and its corresponding Take it out, multiply and add the step-by-step weights, get the highest score value and its floor index value, and thus get the actual floor;

[0216] The location subunit is also used to perform fingerprint similarity on the RPs of the actual floor to obtain a similarity set; the location corresponding to the highest similarity in the similarity set is used as the current location of the device to obtain a location set of several medical devices.

[0217] The smoothing formula is:

[0218]

[0219] The highest score and its floor index are:

[0220]

[0221] The formula for fingerprint similarity is:

[0222]

[0223] In the smoothing formula, K is the gain coefficient in the one-dimensional Kalman filter, and the value is set between 0 and 1. The closer K is to 1, the more stable the signal is. In this embodiment, by setting the K value to 0.5, a balance can be achieved between stability and real-time performance. Represents the RSS signal value after smoothing by the Kalman filter at time t-1, Indicates the RSS signal value actually measured at time t;

[0224] Among the highest score values and their floor index values, according to actual measurement experience, K=8 can obtain accurate floor judgment results; is the floor score array, i is the i-th index value sorted from RSS strong to weak;

[0225] In the formula of fingerprint similarity, is the first strongest signal strength after smoothing, is the signal strength corresponding to the i-th strongest signal, The first strongest signal strength collected for the jth group of fingerprints, Collect the strongest signal strength of the i-th group of fingerprints and take the root mean square of the difference; traverse all the collection points on the floor where the user is located and calculate , The smaller the value, the higher the similarity. The corresponding position is used to output the fingerprint comparison result, that is, .

[0226] In the signal subunit and position subunit of this embodiment, the RSS signal transmitted by the Bluetooth beacon is relatively stable, which helps reduce signal interference and errors. By continuously receiving Bluetooth signals and performing smoothing processing, the impact of signal fluctuations on positioning accuracy can be further reduced.

[0227] In addition, the fingerprint matching method is more stable than traditional triangulation positioning, especially in complex indoor environments, with higher positioning accuracy.

[0228] In one embodiment, the association module 20 includes a transmission unit, an occupancy subunit, a usage subunit, a comparison subunit, a first inspection unit, a second inspection unit, an investigation unit, a synthesis unit, and a recording unit. The transmission unit is a process for transmitting the state set and the location set to the central management server, and the occupancy subunit, the usage subunit, the comparison subunit, the first inspection unit, the second inspection unit, the investigation unit, the synthesis unit, and the recording unit are a process for performing data association to generate a device usage record, specifically:

[0229] A transmission unit is configured to transmit the status set and location set to the central management server in accordance with a preset data transmission control strategy and confidentiality strategy, based on anti-interference technology, by controlling the radio signal to hop between several frequencies; or based on anti-congestion technology, by penetrating obstacles through Bluetooth broadcast reflection, etc., to transmit the status set and location set to the central management server;

[0230] The transmission unit is also used to compare the state set with the preset threshold after the state set and position set are transmitted to the central management server. The different electromagnetic energy ranges corresponding to the different states of each device (such as shutdown, standby, and operation) are used to accurately determine the current state of the device and obtain a more accurate state set.

[0231] The specific data transmission control policies are:

[0232] The energy value return frequency is determined based on the change in energy values detected twice before and after. When the difference in energy value change exceeds 30%, transmission is triggered.

[0233] Set the interval between each transmission to no less than 8 seconds.

[0234] The confidentiality policy is as follows:

[0235] Data during transmission is encrypted using the AES-256 algorithm. Only authorized medical personnel can access and manage device-patient information, review, modify, and analyze it. All data is access-controlled and logged to ensure system security and traceability.

[0236] Among them, the anti-interference technology is:

[0237] Anti-interference technology is established based on network layout and frequency band selection optimization technology, signal enhancement and interference suppression technology, and power regulation and optimization technology. Among them, network layout and frequency band selection optimization technology is achieved by adjusting the base station layout and radio frequency band in the wireless communication technology network, signal enhancement and interference suppression technology is achieved by expanding signal coverage and controlling signal frequency hopping, and power regulation and optimization technology is achieved by adjusting radio transmission power. Specifically:

[0238] ①Optimize the layout of LoRa base stations, suitable for complex buildings, specifically:

[0239] 1) Increase the number of LoRa base stations: Add more base stations in the corners of buildings, areas with thick walls, or areas with severe signal attenuation, and reduce the transmission distance to ensure that each area can receive a strong enough signal.

[0240] 2) Base station deployment based on environmental modeling: Use environmental scanning technology (such as 3D modeling or wireless radio frequency identification) to simulate the LoRa signal coverage in the hospital in advance, and make a reasonable layout of LoRa base stations based on factors such as building structure and wall material to minimize signal dead spots and attenuation.

[0241] ② Select the appropriate LoRa frequency band, suitable for multi-story or multi-room hospital environments, specifically:

[0242] Different LoRa frequency bands have different penetration capabilities. Low-frequency bands (such as 490MHz) perform better at penetrating walls and obstacles. Choosing the right frequency band can effectively reduce signal attenuation.

[0243] ③Use signal repeaters, which are suitable for areas that cannot be directly covered by base stations, specifically:

[0244] Deploy LoRa signal repeaters in the target area to relay the signal and expand the coverage to ensure smooth signal transmission.

[0245] ④ Adopt interference suppression technology to avoid electromagnetic interference generated by various medical equipment in the hospital during operation, specifically:

[0246] 1) Use frequency hopping technology (FHSS): FHSS enables LoRa signals to hop between multiple frequencies, reducing the possibility of interference in a single frequency band, thereby improving the signal's anti-interference ability.

[0247] 2) Shielding materials: Use electromagnetic shielding materials around interference sources to reduce interference, and perform appropriate shielding at the LoRa receiver and transmitter to enhance anti-interference capabilities.

[0248] ⑤ Power regulation, which is used to reduce signal reflection and multipath effects, specifically:

[0249] In areas with shorter transmission distances, the LoRa transmission power can be appropriately reduced to reduce signal reflection and multipath effects (signals bounce and refract in complex environments, resulting in unstable received signals); while in long-distance areas, the transmission power can be increased to enhance coverage.

[0250] Among them, the anti-congestion technologies are:

[0251] ① Channel switching and load balancing are used to avoid channel congestion caused by multiple Bluetooth devices working at the same time. Specifically:

[0252] Dynamically adjust the channel usage of Bluetooth devices through Bluetooth Adaptive Frequency Hopping (AFH) technology.

[0253] ②Increasing the density of Bluetooth gateways is suitable for avoiding signal loss or interference caused by long distance or signal obstruction. Specifically:

[0254] In areas with channel congestion and severe Bluetooth signal attenuation, especially in places where equipment is concentrated, such as operating rooms, the number and density of Bluetooth gateways can be increased to shorten the transmission distance between Bluetooth devices and gateways.

[0255] ③ Avoid body obstruction and device positioning, which is suitable for reducing the impact of medical staff's body obstruction on Bluetooth signal transmission, specifically:

[0256] 1) Multipath reflection: Utilizing the multipath characteristics of Bluetooth signals, Bluetooth devices can penetrate obstacles by reflection. Therefore, Bluetooth devices can be installed in locations such as ceilings or corners to avoid direct body obstruction of signal transmission.

[0257] 2) Multi-device redundant deployment: Install multiple Bluetooth devices or gateways in key areas to ensure that even if the signal of one device is blocked, other devices can still work normally, thereby improving the stability of signal transmission.

[0258] ④ Adjust the Bluetooth transmission power, which is suitable for scenarios where obstacles need to be penetrated or the signal is blocked. Specifically:

[0259] Appropriately increase the transmit power of the Bluetooth device to enhance the signal's penetration. In addition, you can also adjust the antenna angle to optimize the signal's coverage.

[0260] It should be noted that if a more precise time determination of device status changes is required, real-time performance can be improved by increasing the frequency of data transmission. For example, shortening the time interval between each data transmission to 2-3 seconds can significantly improve the system's response speed and provide more accurate device status determination.

[0261] Furthermore, LoRa technology offers the advantages of low power consumption and long-distance transmission, making it suitable for large-area coverage scenarios such as operating rooms. LoRa operating in the 490MHz frequency band can ensure large-scale coverage in single-story hospitals, requiring only a small number of base stations for complete deployment. For operating rooms already equipped with WiFi / Bluetooth networks, data can be transmitted to devices such as Bluetooth gateways via Bluetooth broadcast, enabling more flexible device status monitoring and data transmission.

[0262] The transmission unit of this embodiment effectively avoids signal interference by controlling the radio signal to jump between several frequencies, ensuring the stability and reliability of data transmission. By utilizing Bluetooth broadcast reflection to penetrate obstacles, it can maintain data transmission continuity even in congested channels and ensure real-time updates of device status and location sets.

[0263] Furthermore, by adjusting the base station layout in the wireless communication technology network, the signal transmission path can be optimized, reducing signal attenuation and interference; selecting the appropriate radio frequency band can reduce frequency band congestion and interference, and improve the efficiency and accuracy of signal transmission. Reducing interference by controlling signal frequency hopping helps ensure the clarity and accuracy of the signal during transmission, thereby improving the performance of the communication system. Technologies such as network layout, frequency band selection, and signal enhancement in anti-interference technology can be flexibly adjusted according to actual environmental requirements, allowing the communication system to better adapt to the needs of different environments and scenarios, and improving the flexibility and scalability of the system. High-frequency filtering processing and transmission mechanisms ensure both monitoring accuracy and a balance between battery consumption and system response.

[0264] In addition, in a medical surgical environment, electromagnetic interference may occur when multiple devices are running simultaneously. Anti-interference and anti-congestion technologies can solve the problem of interference between multiple surgical devices during data transmission, ensuring that the status data and location data of multiple surgical devices can be accurately transmitted.

[0265] an occupancy subunit, configured to determine, based on the association module and according to the state set and the location set, the usage time periods occupied by the plurality of medical devices during actual use;

[0266] The subunit is used to obtain the operation time period from the patient entering the operating room to start the operation to the patient leaving the operating room after the operation;

[0267] The comparison subunit is used to obtain the device set actually used by the patient during the operation by comparing the usage time period and the operation time period, and use the information of the device set as the actual device usage information.

[0268] The first inspection unit is used to check whether the quantity of surgical instruments and drugs meets the preset values according to the type of surgery before the patient's surgery begins, and to check whether the surgical instruments meet the preset safety standards, and obtain the safety inspection results;

[0269] The second inspection unit is used to obtain the surgical operation compliance inspection result by evaluating whether the medical staff complies with the preset surgical operation procedures during the operation;

[0270] The survey unit is used to conduct a satisfaction survey on patients after surgery and obtain the satisfaction survey results;

[0271] The comprehensive unit is used to form comprehensive information from safety inspection results, surgical operation compliance inspection results and satisfaction survey results.

[0272] a recording unit for associating actual equipment usage information with patient information in the surgical management system to obtain a detailed equipment usage record, and adding the comprehensive information and the surgical record generated at the beginning of the surgery to the equipment usage record;

[0273] The recording unit is further configured to store the device usage records in a central database via the data storage module.

[0274] In this embodiment, the occupancy subunit, usage subunit, comparison subunit, first inspection unit, second inspection unit, investigation unit, comprehensive unit, and recording unit accurately record the usage time period of the medical device and the patient's surgery time period, thereby achieving accurate tracking of the device usage and avoiding disputes over device usage caused by time ambiguity or inaccurate records in traditional methods.

[0275] Furthermore, by checking whether the quantity of surgical instruments and medicines meets the preset values before surgery, it can be ensured that the surgery will not be interrupted or delayed due to the lack of necessary instruments or medicines, thereby improving the safety of the surgery. At the same time, checking whether the surgical instruments meet the preset safety standards can effectively avoid the use of defective or unqualified instruments for surgery, further reducing the risk of surgery. By evaluating whether the medical staff strictly follow the preset surgical operating procedures during the operation, it can be ensured that every step of the operation meets medical standards and regulations, thereby improving the success rate of the surgery and the patient's recovery effect. This full-cycle detection and recording method is conducive to ensuring the smooth progress of the operation and ensuring the traceability of data.

[0276] Furthermore, in terms of overall system response time, the entire process from a device state change to the system's final determination of the device state involves seamless and continuous sensing, signal processing filtering delays of less than one second, network transmission delays of milliseconds, and server-side device state determination. Therefore, the time difference between the device's true state and the system's displayed state is primarily concentrated in the signal processing phase, typically ranging from one to ten seconds, depending on the frequency of device state changes and transmission conditions. In operating room scenarios, surgical device status information is typically used for recording and subsequent analysis, and the entire surgical process typically lasts one hour or longer. Therefore, a device state determination error of less than 10 seconds is well within acceptable limits for the entire surgical process, addressing time synchronization inaccuracies caused by various factors (such as network latency and device failures) and ensuring the accuracy of timestamp matching.

[0277] Overall, this embodiment has the following beneficial effects:

[0278] This application can monitor the working status and position changes of the device in real time by sensing the difference in low-frequency electromagnetic energy generated by the device under different working states. This non-invasive sensing method avoids errors and failures caused by improper sensor installation or contact problems, and can improve the accuracy of the data. The device status set and location set are transmitted to the central management server in real time using long-distance radio or Bluetooth broadcast technology, which can avoid the inconvenience and limitations brought by wired connections and improve the efficiency and flexibility of data transmission. The status set and location set transmitted to the central management server are associated with the patient's information to generate a record of device usage. This automated processing method not only reduces the tediousness and errors of manual operations, but also improves the efficiency and accuracy of data processing.

[0279] In summary, this application provides an efficient and accurate method for automatically associating operating room equipment with patients by integrating non-invasive device status perception technology, Internet of Things positioning system and surgical management system, significantly improving the efficiency and accuracy of surgical equipment throughout the entire surgical cycle, and providing strong technical support for the automated management and optimized scheduling of medical equipment.

[0280] Example 3:

[0281] An embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the method for automatically associating operating room equipment with patients;

[0282] The method for automatically associating operating room equipment with patients, if implemented as a software functional unit and used as a standalone product, can be stored in a computer-readable storage medium. Based on this understanding, the present invention can also implement all or part of the process steps in the above-mentioned method embodiments by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, the computer program can implement the steps of each of the above-mentioned method embodiments. The computer program includes computer program code, which can be in source code form, object code form, executable file, or some intermediate form. The computer-readable medium can include any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard drive, a magnetic disk, an optical disk, computer memory, read-only memory (ROM), random access memory (RAM), an electrical carrier signal, a telecommunications signal, and a software distribution medium.

[0283] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for automatically associating operating room equipment with patients, characterized in that: include: By non-invasively sensing the differences in low-frequency electromagnetic energy generated by the devices in different operating states, a set of states and positions of several medical devices during the patient's surgery is obtained; wherein the several medical devices are determined based on the specific type of surgery to be performed on the patient and the actual surgical needs; Transmitting the status set and location set to a central management server via long-distance radio or Bluetooth broadcasting, and associating them with the patient's information to generate device usage records for the plurality of medical devices; The location set is obtained by calculating the floor and location of the surgery based on the signal strength received by the Bluetooth beacon, specifically: Continuously receiving Bluetooth signals within the range of the plurality of medical devices according to the positioning receiver to obtain RSS signals of Bluetooth beacons; Smoothing the RSS signal is performed, and the processed RSS signal is sorted from strong to weak. , and its corresponding Take out, perform step-by-step weight multiplication and addition, obtain the highest score value and its floor index value, and obtain the actual floor; perform fingerprint similarity on the receiving point of the actual floor to obtain a similarity set; take the position corresponding to the highest similarity in the similarity set as the current position of the device, and obtain the position set of several medical devices; The highest score and its floor index are: The floor score array can be represented as: Among them, K is a value based on practical experience, is the floor score array, is the Bluetooth beacon, i is the i-th index value sorted from RSS strong to weak; represents the transpose operation, and Received when collecting on the first floor The strongest RSS and second floor collection received The strongest RSS, For the Received during floor collection The strongest RSS, in dBm.

2. The method for automatically associating operating room equipment with patients according to claim 1, characterized in that: By non-invasively sensing the differences in low-frequency electromagnetic energy generated by the devices in different working states, we can obtain the state sets of several medical devices during patient surgery, specifically: When the operation on the patient begins, generating an operation record based on the equipment information and personnel information of the operation, and locking the plurality of medical devices; The state sets of the medical devices during the operation on the patient are obtained by sensing the differences in low-frequency electromagnetic energy generated by the medical devices in different working states in a non-invasive manner.

3. The method for automatically associating operating room equipment with patients according to claim 2, characterized in that: The state set of the medical devices during the patient surgery is obtained by sensing the difference in low-frequency electromagnetic energy generated by the medical devices in different working states in a non-invasive manner, specifically: Acquiring real-time low-frequency electromagnetic wave energy radiated by the medical devices through an inductive sensor of a non-invasive device; wherein the non-invasive device is based on the principle of electromagnetic induction and is established according to the inductive sensor and a signal processing module; performing signal conditioning on the real-time low-frequency electromagnetic wave energy by a signal processing module of the non-invasive device to obtain an electromagnetic energy value set; Based on the electromagnetic characteristics of the equipment, the equipment usage status corresponding to the electromagnetic energy value set is determined according to the mapping relationship between the electromagnetic energy value and the equipment status, and the status set of the medical equipment during the patient surgery is obtained.

4. The method for automatically associating operating room equipment with patients according to claim 1, wherein: The fingerprint library is specifically: Determine the location coverage area where the surgery is taking place based on Bluetooth beacons; Within the positioning coverage area, move along a preset marked straight line at a stable and uniform speed to obtain a set of Bluetooth beacon signal strengths corresponding to several single acquisition paths; The Bluetooth beacon signal strength set is stored according to the location points and signal characteristics to obtain the fingerprint library.

5. The method for automatically associating operating room equipment with patients according to claim 1, characterized in that: The state set and location set are transmitted to a central management server via long-distance radio or Bluetooth broadcasting, and are associated with the patient's information to generate device usage records of the multiple medical devices, specifically: Based on a preset anti-interference technology, the state set and the location set are transmitted to the central management server by controlling the radio signal to jump between a plurality of frequencies; or based on a preset anti-congestion technology, the state set and the location set are transmitted to the central management server by penetrating obstacles by Bluetooth broadcast reflection; In the central management server, based on the state set and the location set, the device actually used during the patient's surgery is determined by a timestamp matching rule to obtain actual device usage information; The actual usage information of the device is associated with the information of the patient to obtain the device usage record.

6. The method for automatically associating operating room equipment with patients according to claim 5, characterized in that: In the central management server, based on the state set and the location set, the device actually used during the patient's surgery is determined by a timestamp matching rule to obtain actual device usage information, specifically: In the central management server, determining the usage time periods occupied by the plurality of medical devices during actual use according to the state set and the location set; Obtaining the surgical time period from when the patient enters the operating room and begins surgery to when the patient leaves the operating room after surgery; By comparing the usage time period with the operation time period, the device set actually used by the patient during the operation is obtained, and information on the device set is used as the actual device usage information.

7. The method for automatically associating operating room equipment with patients according to claim 5, characterized in that: The anti-interference technology is specifically: Establishing the anti-interference technology based on network layout and frequency band selection optimization technology, signal enhancement and interference suppression technology, and power regulation and optimization technology; Among them, the network layout and frequency band selection optimization technology is achieved by adjusting the base station layout and radio frequency band in the wireless communication technology network, the signal enhancement and interference suppression technology is achieved by expanding the signal coverage range and controlling the signal frequency hopping, and the power regulation and optimization technology is achieved by adjusting the radio transmission power.

8. The method for automatically associating operating room equipment with patients according to claim 1, characterized in that: After generating the device usage records of the plurality of medical devices, the method further includes: Before the operation on the patient begins, checking whether the quantity of surgical instruments and drugs meets the preset values according to the type of operation, and checking whether the surgical instruments meet the preset safety standards, and obtaining safety inspection results; By evaluating whether the medical staff followed the preset surgical procedures during the operation, the surgical operation compliance inspection results were obtained; The safety inspection result and the surgical operation compliance inspection result are added to the equipment usage record.

9. An automatic association device for operating room equipment and patients, characterized in that: Including data module and association module; The data module is used to sense the difference in low-frequency electromagnetic energy generated by the device in different working states in a non-invasive manner to obtain a state set and position set of multiple medical devices during the patient's surgery; wherein the multiple medical devices are determined based on the specific type of surgery to be performed on the patient and the actual surgical needs; The association module is configured to transmit the status set and location set to a central management server via long-distance radio or Bluetooth broadcasting, and associate them with the patient's information to generate device usage records for the plurality of medical devices; The location set is obtained by calculating the floor and location of the surgery based on the signal strength received by the Bluetooth beacon, specifically: Continuously receiving Bluetooth signals within the range of the plurality of medical devices according to the positioning receiver to obtain RSS signals of Bluetooth beacons; Smoothing the RSS signal is performed, and the processed RSS signal is sorted from strong to weak. , and its corresponding Take out, perform step-by-step weight multiplication and addition, obtain the highest score value and its floor index value, and obtain the actual floor; perform fingerprint similarity on the receiving point of the actual floor to obtain a similarity set; take the position corresponding to the highest similarity in the similarity set as the current position of the device, and obtain the position set of several medical devices; The highest score and its floor index are: The floor score array can be represented as: Among them, K is a value based on practical experience, is the floor score array, is the Bluetooth beacon, i is the i-th index value sorted from RSS strong to weak; represents the transpose operation, and Received when collecting on the first floor The strongest RSS and second floor collection received The strongest RSS, For the Received during floor collection The strongest RSS, in dBm.

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