An intelligent system for equipment inspection and repair

By adopting functional separation information analysis method in the medical equipment inspection system, combined with information collection and processing modules, the problems of low manual inspection efficiency and high false inspection rate are solved, efficient and accurate equipment inspection and maintenance are achieved, and the resource utilization rate and diagnosis and treatment efficiency of the hospital are improved.

CN114496202BActive Publication Date: 2025-03-14BEIJING R&W ELECTRONICS TECH
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Patent Information

Application Number
CN202210097616.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-01-26
Publication Date
2025-03-14
Estimated Expiration
2042-01-26

AI Technical Summary

Technical Problem

In the prior art, the inspection and maintenance of medical equipment rely on manual labor, which causes the large number of equipment to take a long time, easily cause false inspection, and the equipment allocation efficiency is low, which increases the difficulty of diagnosis and treatment efficiency.

Method used

The information analysis method of functional separation is adopted, and the information collection module and the information processing module are combined to achieve priority processing of equipment information. The information collection module obtains device information through the visual unit, while the information processing module processes dynamic and static data, generates priority for device requirements and damage repairs, and guides the movement and inspection of inspection equipment.

Benefits of technology

It improves the inspection efficiency and accuracy of medical equipment, reduces manual intervention, reduces the cost and time of equipment allocation, and improves the utilization rate of hospital resources and diagnosis and treatment efficiency.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The present invention relates to an intelligent system for equipment inspection and repair. The intelligent system comprises: an information acquisition module and an information processing module, wherein the information acquisition module comprises: a visual unit configured to obtain equipment information within a field of view by means of an identification code or image capture; an external unit configured to carry the visual unit; the information processing module comprises: a static data storage component comprising static data of individual health forms of equipment; a dynamic data storage component comprising equipment requirements and dynamic data related to equipment status transmitted by the visual unit; and a processing center unit configured to establish equipment demand allocation and / or damage repair priorities based on the static data and the dynamic data.
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Description

Technical Field

[0001] The present invention relates to the technical field of medical machinery, and in particular to an intelligent system for equipment inspection and repair. Background Art

[0002] Medical equipment is an essential part of the patient's diagnosis and treatment process. In actual use, medical equipment will maintain a high-intensity working state to serve every patient in need. However, the capabilities of medical equipment are limited. During high-intensity and long-term use, medical equipment will have various mechanical failures. In order to maintain the normal use of medical equipment, medical equipment needs regular inspection and maintenance.

[0003] Hospital logistics management refers to the logistics services and guarantees of the hospital, which is an important basis for ensuring the normal operation of the hospital. Efficient hospital logistics management can timely grasp the distribution and utilization of hospital resources, optimize the layout and structure of hospital resources, and improve the utilization rate of hospital resources. Hospital logistics services can be divided into soft services (people-oriented services, such as cleaning, security, landscaping, and accompanying care, etc.) and hard services (equipment and facility-oriented services, such as HVAC systems, high and low voltage power distribution systems, strong and weak current systems, water supply and drainage systems, etc.). The quality of logistics services will not only affect the service life and life cycle cost of hospital equipment and facilities, but also affect the efficiency and satisfaction of hospital medical staff and patients. Logistics services include equipment inspection services, that is, inspection and maintenance personnel will inspect and maintain the medical equipment in various departments of the hospital to ensure the normal operation of medical equipment in various departments.

[0004] In the prior art, the most common method of deploying, inspecting and maintaining medical equipment is to use inspectors, who manually inspect and record to find damaged parts of medical equipment or deploy medical equipment based on demand. However, the limitation of manual labor is that when the number of medical equipment in a hospital increases to a certain extent, manual inspection and maintenance takes a huge amount of time and is prone to false detection due to problems such as lack of energy, resulting in subsequent problems such as inability to use. At the same time, due to the advent of some medical equipment such as small imaging equipment, such equipment will be cross-used among multiple departments. Therefore, in the event of an unexpected situation, the statistics and deployment of the number and location of equipment become one of the key factors to increase the efficiency of diagnosis and treatment. However, the manual deployment of a large number of repeated types of equipment also has the problem of inefficiency and high cost.

[0005] The Chinese patent with patent number CN112750525A relates to a medical equipment inspection management method, device, equipment and storage medium. The device includes scanning the inspection location QR code, accessing the management background, and establishing an access channel; sending authentication information and inspection equipment information through the access channel, and receiving the inspection record template; receiving operation instructions, and completing the inspection record template editing according to the operation instructions to generate the inspection record document; sending the inspection record document through the access channel, and receiving the archived result. Specifically, the Chinese patent with patent number CN113517060A discloses an AI-assisted information-based medical equipment inspection system, including a terminal device; a network center, the network center is associated with the terminal device; the terminal device includes a scanning module for scanning the barcode on the medical equipment to be inspected to identify the device name, device serial number and device storage point; a camera module for taking pictures and / or video of the medical equipment to be inspected to obtain image information and / or video information of the medical equipment; a wireless remote communication module is associated with the network center, and the terminal device and the network center exchange information through the wireless remote communication module. The device identification is used as the information identification unit to record various known information of the device during the inspection process of the inspection device, and based on the relevant information collection, remote analysis is performed to determine whether there is a problem with the device.

[0006] Furthermore, the Chinese patent with patent number CN111816290A provides a medical equipment maintenance and inspection method and system. Through the small program of the mobile terminal, the information carrier on the medical equipment is scanned and interpreted, and then communicated with the cloud platform. The cloud platform judges the urgency of the repair and recommends engineers to perform related operations such as repair, acceptance, inspection, maintenance, and spare parts replacement of the medical equipment. The inspection system can further analyze the cause of the equipment problem based on the collected information, and make repair recommendations by classifying related operations.

[0007] The intelligent system for equipment inspection and repair involved in the present invention is different from the above-mentioned system in which all data needs to be sent to a network center (cloud platform) that is separately set up from the information collection part. The present invention adopts a functionally separated information analysis method to process the relevant information of the equipment during the inspection in the order of priority in the network center (cloud platform) or the collection module, so that the intelligent system moving in the hospital can efficiently and accurately deploy and inspect the equipment.

[0008] In addition, on the one hand, there are differences in understanding among those skilled in the art; on the other hand, the applicant studied a large number of documents and patents when making the present invention, but due to space limitations, not all details and contents are listed in detail. However, this does not mean that the present invention does not have the characteristics of these prior arts. On the contrary, the present invention already has all the characteristics of the prior art, and the applicant reserves the right to add relevant prior art to the background technology. Summary of the invention

[0009] In view of the shortcomings of the prior art, the present invention provides an intelligent system for equipment inspection and repair, the system comprising an information collection module and an information processing module. The information collection module collects equipment information for patient life monitoring through movement. The information processing module can process the dynamic information and static information of the equipment for patient life monitoring.

[0010] The information acquisition module comprises: a visual unit configured to acquire information of a device for patient life monitoring within a field of view by means of image capture, the information comprising an identification code, a barcode and / or a device identification card associated with the device; and an external unit configured to carry the visual unit for acquiring information of the device for patient life monitoring within the field of view, so as to determine physical damage of the device at a plurality of different locations by moving;

[0011] The information processing module includes: a static data storage component for collecting and generating static data of equipment related to patient life monitoring; a dynamic data storage component for generating dynamic data of equipment related to patient life monitoring; a processing center unit, which is configured to establish equipment requirements and damage repair priorities related to equipment used for patient life monitoring based on the dynamic data of equipment requirements related to equipment used for patient life monitoring. When the information collection module conducts equipment inspections in a hospital environment, the information collection module can move according to a navigation path pre-planned in a manner related to disinfection constraints, personnel constraints and / or power constraints provided by the information processing module.

[0012] The above navigation path is generated as follows:

[0013] The processing center unit generates the shortest outbound path to the first device in response to a first threshold value exceeding the difference between "dynamic data collected by the dynamic data storage component" and "static data collected and generated by the static data storage component" of the first device related to patient life monitoring, wherein the return path for the shortest outbound path is generated by the processing center unit based on a situation where the difference between dynamic data and static data of a second device related to patient life monitoring under the same disinfection constraint exceeds the second threshold value, at least taking into account the power constraint.

[0014] The processing center unit can read the current self-test information of the device based on a wired or wireless method. The self-test information is divided into a first state, a second state, and a third state according to different error code types. When the device is in the first state, it indicates that the problem is relatively simple and does not affect the normal use of the device, and the inspection device can independently complete the repair of the device problem. When the device is in the second state, it indicates that the device problem does not affect the normal use of the device, but the problem solving requires the participation of maintenance personnel. When the device is in the third state, it indicates that its problem is very urgent, but the inspection device can independently complete the repair of the device problem. When the device is in the fourth state, it indicates that the device problem is very urgent and affects the normal operation of the device, and the problem solving requires the participation of maintenance personnel. Specifically, the state of the device related to patient life monitoring is set with a first threshold and a second threshold. For example, the first threshold is set to a code indicating that the component is aging and needs to be replaced according to the modular overhaul reported by the first device. The problem can be replaced by the inspection device carrying a replaceable component and helping the first device to replace the component.

[0015] The first threshold can be set as a code representing that the first device is in a first state, which is generated based on the modular maintenance reported by the first device. For example, if the replaceable component is aging, the inspection device can carry the replaceable component to help the first device replace the component.

[0016] The second threshold can be set to a code representing that the second device is in the second state, which is generated according to the modular maintenance reported by the second device. For example, the connection terminal of the second device is loose, and the inspection device can handle the problem of the second device by adjusting the connection terminal of the second device.

[0017] When the processing center unit determines that the return path cannot be completed due to power constraints, the inspection equipment can obtain help from surrounding medical staff by issuing an alarm.

[0018] The static data collected and generated by the static data storage component of the first device related to patient life monitoring can be relevant information when the first device related to patient life monitoring is in a normal working state.

[0019] The dynamic data collected and generated by the dynamic data storage component of the first device related to patient life monitoring is the self-test information of the first device related to patient life monitoring. The first device related to patient life monitoring will regularly perform self-tests and send the self-test information to the processing center unit in real time via wired or wireless means.

[0020] The difference between the dynamic data collected by the dynamic data storage component and the static data collected and generated by the static data storage component is used to determine the state of the first device related to patient life monitoring. When the difference between the dynamic data collected by the dynamic data storage component and the static data collected and generated by the static data storage component exceeds the first threshold, the first device related to patient life monitoring is in the first state. The processing center unit generates the shortest outbound path to the first device in response to the current state of the first device related to patient life monitoring, so that the inspection device can carry the replaceable components of the first device to the location of the first device to complete the maintenance work of the first device.

[0021] According to a preferred embodiment, the same disinfection constraint condition means that the disinfection conditions of the environment in which the path is located are the same. For example, the inspection equipment in the sterile area cannot enter the ordinary diagnosis area or the ward area. Similarly, the inspection equipment in the ordinary consultation area cannot enter the sterile area or the operating area. By grading the disinfection areas during path planning, the inspection device can avoid shuttling between areas of different disinfection levels when moving, thereby preventing cross contamination between different disinfection levels.

[0022] According to a preferred embodiment, the power constraint condition means that the power source energy carried by the inspection device itself for driving it to complete maintenance, inspection or movement activities is limited. Before the inspection device at the first equipment position responds to the instruction of the processing center unit, the processing center unit needs to consider whether the power carried by the inspection device is sufficient when planning the path of the inspection device from the first equipment position to the second equipment position.

[0023] Based on the state difference of the first device, an instruction is generated that the first device needs to be inspected and repaired by the inspection device. The inspection device moves correctly by processing the shortest outbound path to the first device generated by the processing center unit. On the one hand, the disorderly movement of the inspection equipment is reduced, and the working efficiency of the inspection equipment is increased; on the other hand, the inspection equipment can carry replacement components required for maintenance in advance, avoiding secondary rework after inspection and reducing the mileage of the inspection equipment. The orderly movement of the inspection equipment and the purposeful targeting of a device also reduce the loss of the inspection equipment, increase the mobility of mechanized inspections and reduce the cost of mechanized inspections.

[0024] Since the inspection equipment needs its own power source to provide energy for its activities when it moves, the inspection equipment is constrained by the site and its own power source when it moves. In the hospital, the operating room or ICU environment is a sterile environment, and the infectious department is a high-risk environment, which is completely separated from the general ward and the treatment area. The above three environments need to be disconnected. When the inspection equipment moves from the first device that completes the maintenance purpose to the second device that needs maintenance and inspection, the above constraints need to be considered. The processing unit center generates the shortest path between the first device and the second device based on the above constraints, thereby ensuring that the inspection equipment can work normally and avoid damaging the separated environment of the hospital during movement.

[0025] According to a preferred embodiment, the shortest path refers to a path with the shortest distance.

[0026] According to a preferred embodiment, the shortest path refers to the path with the shortest time required for movement.

[0027] According to a preferred embodiment, the inspection device can be an information collection module.

[0028] According to a preferred embodiment, the data in the dynamic data storage component is updated in real time.

[0029] According to a preferred embodiment, the information processing module is configured to set equipment requirement allocation related to the equipment for patient life monitoring in a first priority order based on an alarm instruction of equipment requirement from the outside.

[0030] During the inspection process, this system is used to input the information of equipment resources to help with the subsequent allocation of medical equipment resources; on the other hand, it can inspect the hardware equipment in the hospital or within the inspection range to promptly discover the damage of the hardware equipment inside the hospital. The equipment demand allocation and damage repair reporting in this system share the same database to achieve the purpose of resource sharing. At the same time, it reduces the repeated measurement and storage of data, reduces the burden of data processing on the system, and increases the efficiency of the system in equipment demand allocation and damage repair.

[0031] Furthermore, based on the immediacy of equipment demand allocation, the system is provided with a priority for establishing equipment demand allocation and / or damage reporting. Since some equipment is mobile, such as ultrasound vehicles, the equipment containing location and storage capacity information recorded in the static database can only be non-mobile, such as surgical lights or magnetic resonance instruments in operating rooms. The relevant information (including location and storage capacity) of mobile equipment is generally stored in a dynamic database. The equipment information in the dynamic database at least includes the location and storage capacity information of the above equipment stored in the system inspection process at the most recent time. Furthermore, since the inspection of the system is periodic, the information of mobile equipment in the dynamic database can include that stored in the inspection process in the previous cycle and this cycle. Preferably, equipment demand allocation is the first priority for the operation or operation of this system. When no instructions related to equipment demand allocation are received, the system will perform relevant operations for equipment damage repair.

[0032] According to a preferred embodiment, the identification code includes information on the type of equipment for patient vital monitoring, the frequency of use of the equipment for patient vital monitoring, the time of the last use of the equipment for patient vital monitoring, and the scheduled use of the equipment for patient vital monitoring.

[0033] According to a preferred embodiment, the system includes a display module, and the display module and the information processing module form a data flow channel in a wired or wireless manner, so that the information processing module can re-establish the equipment demand allocation and / or damage repair priority of the equipment used for patient life monitoring based on the information transmitted by the display module.

[0034] The operation of medical resources, especially medical equipment, has a significant impact on maintaining the efficiency of medical staff's diagnosis and treatment and meeting the diagnosis and treatment needs of patients. In diagnosis, especially emergency diagnosis and treatment, the demand for medical equipment is most accurately judged by medical staff. Therefore, this system can respond to the medical equipment needs of medical staff, screen and locate medical equipment with the highest priority, and increase the demand for medical equipment, especially medical equipment with strong mobility, in unexpected situations without disrupting the use of normal diagnosis and treatment. For example, when a patient falls ill unexpectedly in a hospital, the medical staff only needs to input the demand to the terminal. The system can provide the location information of the relevant equipment based on the information screening of the database and the equipment information quickly collected by the information collection module in the first priority information collection mode. Alternatively, when the number of patients in some departments of the hospital increases due to the formation of seasonal high incidence, the pressure of equipment sharing increases. At this time, the medical staff sends the equipment demand. The system can allocate the equipment of other departments based on the information screening of the database and the equipment information quickly collected by the information collection module in the first priority information collection mode, making full use of idle equipment, thereby alleviating the equipment use pressure of the department.

[0035] According to a preferred embodiment, the information acquisition module can perform preliminary filtering on the acquired information and then send it to the information processing module, wherein the filtering conditions are image accuracy and the number of channels.

[0036] According to a preferred embodiment, the detection scope of damage repair can include physical damage to the equipment, wherein the physical damage is the detachment or loosening of connectors, deformation or breakage of equipment, rusting of equipment, or attachment of foreign matter to the equipment.

[0037] According to a preferred embodiment, when no equipment requirement alarm instruction is received, the external unit carrying the visual unit can capture images of the equipment used for patient life monitoring in a set area, providing a judgment basis for damage repair reports of the equipment used for patient life monitoring.

[0038] According to a preferred embodiment, the system also includes a sub-processing center unit mounted on the external unit, and the sub-processing center unit is capable of performing a first-level processing on the data collected by the visual unit, wherein the first-level processing includes selective transmission of data, comparison of low-quality collected images and storage of data.

[0039] According to a preferred embodiment, the external unit includes a navigation component with cruising capability and a mobile component with moving capability. Through the cooperation of the navigation component and the mobile component, the visual unit can acquire information from devices at different locations through the external unit carrying it.

[0040] According to a preferred embodiment, the quality of the image is determined by the number of pixels and pixel channels in the image.

[0041] In the prior art, the inspection device uses the camera it is equipped with to perform image recognition to determine the health status of medical equipment and promptly detect problems such as damage or looseness. For example, problems such as exposed lines in color ultrasound, broken bed brackets, or screws falling off of orthopedic external instruments. In the daily monitoring process of equipment damage repairs, the prior art often directly uses image capture and sends it to the central platform to determine the status of the equipment. The cost of taking pictures is high, and the amount of data processing required to compare and analyze multiple groups of high-definition color pictures containing component details is huge. The sub-processor unit carried by the external module in this system has limited memory capacity and processing power. Therefore, this system processes the images of equipment damage processing in a graded manner, thereby increasing the work efficiency and speed of information processing, increasing the response speed and command response of medical equipment demand allocation, and reducing the manual burden and error rate of equipment inspection. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a flow chart of a preferred embodiment provided by the present invention;

[0043] Figure 2It is a flow chart of a preferred implementation method of equipment damage repair monitoring provided by the present invention. DETAILED DESCRIPTION

[0044] The following is a detailed description with reference to the accompanying drawings.

[0045] The application scope of the embodiment of the present invention can refer to institutions that provide medical services to patients, including hospitals, third-party independent medical testing institutions, imaging centers, etc.

[0046] The present invention provides an intelligent system for equipment inspection and repair, comprising: an information collection module and an information processing module. The information collection module moves within a set area in the form of inspection, and collects equipment information and images within the field of view during the movement. Due to the large number of medical devices in the hospital, the amount of data containing equipment information and images is huge, and the processing speed of the system processor itself is limited. The huge amount of data will cause the inspection speed to decrease. Therefore, the collected information and images are transmitted to the information processing module after the initial filtering of the information collection module. Since the quality of equipment management personnel in medical service institutions or hospitals is uneven and has a certain degree of mobility, and the number of equipment is huge and changes dynamically at any time, in the actual equipment management process, subjective judgments will be made on equipment problems, and related equipment (some equipment that can still be used and does not need to be eliminated) and erroneous omissions will be eliminated in a way that lacks scientific decision-making data. Medical service institutions, especially hospitals, have a large number and variety of equipment to be inspected.

[0047] Limited by the size of the processor and the scanning speed of the visual unit, the data processing capacity of the inspection equipment is limited and the inspection speed is limited. For the above reasons, when the inspection equipment inspects the passing equipment one by one in the process of moving, the visual unit of the inspection equipment needs to constantly switch the focal length and angle to capture the image of the equipment. Whether sending the image to a remote information processing module or to its own sub-processing center unit, a lot of calculation processing is required, and in most cases, the equipment inspected before and after does not have similar structures and characteristics. Therefore, each equipment image comparison requires a lot of calculation processing, which greatly slows down the efficiency of the inspection equipment in judging equipment abnormalities.

[0048] Based on this, the inspection method of this equipment can plan the inspection route according to its inspection range and the classification of equipment within the inspection range.

[0049] The reference factors for inspection route planning mainly include: equipment classified by similar characteristics, the optimal movement path for inspection, and the hygiene requirements for different inspection ranges.

[0050] The path planning basis can be divided according to the floors or buildings within the hospital, and then the optimal moving distance can be obtained according to the equipment classification in the area, the hygiene requirements required by the equipment and the shortest moving distance.

[0051] According to a preferred embodiment, based on the functional area division of the hospital, it can be divided into an office testing area, a high-precision instrument testing area, a patient ward and doctor diagnosis testing area, and a sterile testing area.

[0052] According to a preferred embodiment, taking the patient ward and doctor diagnosis and detection area in the hospital as an example, the equipment involved in the patient ward and doctor diagnosis and detection area is classified. The patient ward and doctor diagnosis and detection area contain varying numbers of beds, ultraviolet lamps, lighting lamps, bedside tables, curtain assemblies, ventilators, heart rate monitors, smoke detectors, call interface panels, oxygen supply interface panels, dressing carts, and doors and windows. Specifically, the detection direction of the inspection equipment includes four major categories, the first category is through image recognition of physical damage to the equipment; the second category is the induction recognition of toxic and radioactive equipment; the third category is through the identification of the intensity of the wireless signal of the equipment; the fourth category is the identification of improper operation of the equipment. Further, the first category of monitoring direction can include the following equipment: lamps (e.g., ultraviolet lamps, lighting lamps), rectangular three-dimensional structure devices (e.g., beds, bedside tables, dressing carts), electronic devices with display screens (e.g., ventilators, heart rate monitors), wall-combined point or line equipment (e.g., doors, windows, smoke detectors, call interface panels, oxygen supply interface panels, curtain assemblies). This category of detection mainly relies on the image capture and comparison of the visual unit. The second type of monitoring direction is mainly aimed at the use status or storage status of the equipment (for example, oxygen leakage occurs on the oxygen supply interface panel, and the ultraviolet lamp is mistakenly turned on). This category of detection mainly relies on the inspection equipment to carry sensors for relevant detection factors. The third type of monitoring direction can be used for some areas that require wireless data transmission, which is mainly used for dead corners with poor wireless signals (for example, the intelligent control system of the cold storage). This category of detection mainly relies on the wireless signal detector carried on the inspection equipment. The fourth type of monitoring direction is aimed at the improper use and switching of some equipment (for example, the display of the intelligent infusion pump is garbled). This category of detection mainly relies on the image capture and comparison of the visual unit. Preferably, the second type of monitoring direction also includes detecting the strong magnetic field and strong noise of the magnetic resonance equipment outside the magnetic resonance room, and the radiation intensity of the linear accelerator.

[0053] Based on the above-mentioned different inspection directions, the inspection equipment can use different detection equipment and be provided with different comparison characteristics. The second type of detection direction is the induction identification of toxic and radioactive equipment. The inspection equipment can store the magnetic field strength (100 microtesla), noise intensity (no more than 40dB), and radiation intensity (no more than 2.5 microsieverts per hour) in a healthy environment, and use the sensors carried to perform real-time detection of the magnetic field strength, noise intensity and radiation intensity in the environment along the planned path. Specifically, when planning the path, the second type of detection direction is selected, and the equipment or the location of the equipment that affects the environmental magnetic field strength, noise intensity and radiation intensity is first considered. For example, the high-precision instrument detection area mainly includes X-ray machines, CT machines, linear accelerators and magnetic resonance imaging machines. Connect the location points of the above equipment, and refer to the three-dimensional layout diagram of the hospital to establish an optimized itinerary map with the shortest distance for navigating the inspection equipment.

[0054] According to a preferred embodiment, the main steps of determining the inspection path include:

[0055] Determine the testing areas (office testing area, high-precision instrument testing area, patient ward and doctor diagnosis testing area, and sterile testing area);

[0056] Select the detection direction;

[0057] The ease of setting up the relevant equipment based on the test direction;

[0058] Establish the equipment inspection sequence, refer to the equipment location coordinates, and plan the optimal inspection route;

[0059] The inspection equipment arrives near the equipment based on the planned route, identifies the equipment through the equipment identification code, and inspects the equipment based on the currently set inspection direction;

[0060] By comparing the data of healthy equipment in the sub-processing center of the inspection equipment, it is analyzed whether there is any abnormality. If there is an abnormality, an alarm is sent to the data processing module;

[0061] Repeat the above detection method according to the planned route;

[0062] When the device reaches the last device on the planned path, it reports to the data processing module after the detection is completed and waits for the data processing module to send the next planned path.

[0063] According to a preferred embodiment, the simplicity of the equipment in the same detection area and detection direction can be sorted according to the number or structure of the equipment type. For example, if the number of equipment in the same detection area and detection direction is the least, it can be used as a priority detection target, or if the equipment structure in the same detection area and detection direction is the simplest, it can be used as a priority detection target. Preferably, when the first type of monitoring direction of the patient ward and the doctor's diagnosis detection area is selected for detection, it is known through the static data component that there are 9 lamps (for example, ultraviolet lamps, lighting lamps), 51 rectangular three-dimensional structure devices (for example, beds, bedside tables, dressing carts), 3 electronic devices with display screens (for example, ventilators, heart rate monitors), and 40 point or line devices combined with walls (for example, doors, windows, smoke detectors, call interface panels, oxygen supply interface panels, curtain components). The inspection equipment can select the electronic equipment first based on the smallest number, then check the lamps, then check the point or line devices combined with the wall, and finally check the rectangular three-dimensional structure device. The equipment between the detection directions can overlap, for example, the CT machine for radiation inspection can also perform physical damage inspection. The image inspection mode is mainly achieved by comparing with healthy equipment images. Therefore, each time the inspection equipment is inspected, such as a rectangular three-dimensional structure device, only one or more healthy equipment images need to be prepared for comparison. The acquisition method is the same, thereby increasing the data processing effect and movement speed of the inspection through cluster detection.

[0064] According to a preferred embodiment, the attribute information of the hospital (for example, the coordinate points of the equipment, the shape and size of the equipment) is mapped to the information processing module through a two-dimensional module or a three-dimensional module to form a digital twin hospital system, and is stored in a static database component. During path planning, the inspection device, as a controlled unit, responds to the control of the information processing module to display and move in the digital twin hospital system with the planned path. Through the digital twin hospital that combines virtuality and display, the virtual inspection equipment, the planned path image and the real hospital are combined to quickly find the optimal path for inspection. The inspection equipment involved in the present invention can classify and process the equipment that needs to be inspected by area, monitoring direction and difficulty. Planning the detection path by this method can avoid the inspection equipment from blindly switching between equipment of different categories and different inspection requirements during the inspection process, slowing down the inspection efficiency and moving speed. At the same time, clustering of equipment before starting the inspection can fix the inspection route and ensure that the inspection equipment's initial moving route is the optimal route. At the same time, route overlap and inspection conflicts of multiple inspection equipment are avoided.

[0065] The information acquisition module includes a visual unit and an external unit.

[0066] The visual unit is configured to obtain device information within the field of view by means of an identification code or image capture. Preferably, the visual unit can be an optical camera, an infrared camera, or an ultrasonic imager, etc., which has image capture and barcode scanning functions. The visual unit can include an integrated camera with at least dual resolution. The visual unit can also be configured as a camera that integrates color and grayscale image capture.

[0067] The visual unit can obtain the type of medical device, usage frequency, last usage time, and reservation status of the medical device through the identification code of the medical device. Specifically, the acquisition steps include:

[0068] The external unit carries the visual unit along the navigational journey of the external unit;

[0069] The vision unit screens images that meet the characteristics of the medical device within the field of view;

[0070] The visual unit extracts contour features by capturing images within the field of view in real time until a medical device is found.

[0071] The vision unit is close to the medical device and identifies the identification code of the medical device based on the external unit moving around the circumference of the device;

[0072] The vision unit scans the identification code;

[0073] Through the identification code, the sub-processing center unit can form a data set with the current position status and the acquired information of the medical device, and package and send it to the processing center unit;

[0074] The processing center unit stores the relevant information in the dynamic database component.

[0075] According to a preferred embodiment, the position status of the medical device can be overwritten based on the position status of the device in the latest data set, thereby reducing the information storage pressure of the information processing module.

[0076] The external unit is configured to carry the vision unit.

[0077] According to a preferred embodiment, the system also includes a sub-processing center unit mounted on the external unit, and the sub-processing center unit is capable of performing a first-level processing on the data collected by the visual unit, wherein the first-level processing includes selective transmission of data, comparison of low-quality collected images and storage of data.

[0078] According to a preferred embodiment, the external unit includes a navigation component with cruising capability and a mobile component with moving capability. Through the cooperation of the navigation component and the mobile component, the visual unit can acquire information from devices at different locations through the external unit carrying it.

[0079] According to a preferred embodiment, the navigation component is configured to control the external unit to automatically track along navigation marks pre-planned on the ground within the area to be detected.

[0080] According to a preferred embodiment, the external unit further comprises an environmental factor sensor, which is configured to monitor in real time the local environmental factors around the area passed by the information collection module. The navigation component avoids obstacles based on the local environmental factors.

[0081] According to a preferred embodiment, the information collection module can be a multifunctional inspection vehicle or a drone.

[0082] The information processing module includes a static data storage component, a dynamic data storage component and a processing center unit.

[0083] The static data storage component contains static data of the individual health status of the device. Preferably, the static data storage component can be a static memory, and the data inside it does not occupy CPU resources.

[0084] Dynamic Data Storage Component The dynamic data storage component contains the device requirements and dynamic data related to the device status transmitted by the vision unit. Preferably, the dynamic data storage component can include received data storage and dynamic memory.

[0085] The processing center unit is used to process the data in the static data storage component and the dynamic data storage component.

[0086] The information processing module can exist in the form of a mobile terminal or a server of the management background. The static data storage component and the dynamic data storage component can include, but are not limited to, random access memory (Random Access Memory, RAM), read only memory (Read Only Memory, ROM), flash memory (Flash Memory), first-input first output (FIFO) and / or first-in last out (FILO) memory, etc. The processing center unit and the sub-processing center unit can include, but are not limited to, a single-chip microcomputer, an ARM processor, etc.

[0087] Example 1

[0088] The processing center unit is configured to establish priorities for equipment demand deployment and / or damage repair based on static data and dynamic data.

[0089] This system is mainly used for medical resource allocation and medical equipment inspection. There is a contradiction between medical resource allocation and medical equipment inspection in terms of information collection. Therefore, in the process of information collection, it is necessary to set the priority of the execution mode of medical resource allocation and medical equipment inspection. Based on the immediacy of medical resource allocation, especially in first aid or emergency situations, the demand for medical equipment, this system sets the information collection instructions required for medical resource allocation to the first execution level. When no instructions related to medical resource allocation are received, the information collection module can start or continue to perform information collection operations for medical equipment inspection.

[0090] Specifically, Figure 1 As shown, the information collection instructions required for medical resource allocation enable the system to perform the following operations:

[0091] The information processing module receives the equipment demand alert;

[0092] The processing center unit filters the equipment category information stored in the static database component and the dynamic database component;

[0093] When there is equipment that meets the requirements, the processing center unit directly sends the information set related to the equipment to the terminal of the medical staff or other personnel in need;

[0094] When the screening process in the static database component and the dynamic database component ends without submitting the equipment category information that meets the requirements, the processing center unit sends the equipment demand alarm to the information collection module;

[0095] The information collection module triggers the operation procedure of rapid information collection based on the received equipment demand alarm, and quickly enters and packages the identification code and position status of the medical equipment in the field of view through the visual unit and the navigation unit, and sends it to the processing center unit;

[0096] The processing center unit repeats the condition screening until the data packet sent by the information acquisition module meets the requirements. The processing center unit sends an instruction to release the fast information acquisition state, so that the information acquisition module stops the above operation.

[0097] It should be noted that the information collection module includes at least two states: fast information collection and high-precision information collection. The fast information collection state of the information collection module has priority over the high-precision information collection state, that is, the information collection module in the high-precision information collection state can switch to the fast information collection state based on the device demand alarm, and the operation of the information collection module in the high-precision information collection state is suspended. The high-precision information collection state of the information collection module is a breakpoint-type resume mode, that is, after the fast information collection state ends, the information collection module can continue the operation and information transmission of the most recent high-precision information collection state.

[0098] According to a preferred embodiment, the conditions for the processing center unit to screen the static database components and dynamic database components based on the device demand alarm can also be the function of the device or the applicable department. For example, the screening conditions of the multi-parameter monitoring device can be increased to heart rate monitoring, emergency monitoring, and physiological index monitoring.

[0099] According to a preferred embodiment, the equipment demand alarm can trigger an operation set in the static data storage component in the form of an instruction.

[0100] According to a preferred embodiment, the information set related to the device includes the type of device, the frequency of use of the device, the most recent location status of the device, the most recent use time of the device, and the scheduled use status of the device.

[0101] According to a preferred embodiment, the identification code can be a label or other form of information carrier, which becomes the unique code of the medical device. The identification code can be in the form of a two-dimensional code and placed on an information carrier, which is fixed to the medical device by pasting or other forms, so that the medical terminal or visual module can scan the code.

[0102] Example 2

[0103] This embodiment is a further improvement on Embodiment 1, and the repeated contents will not be repeated here.

[0104] After the information collection module enters the high-precision information collection state, this system is used for inspection of medical equipment, such as Figure 2 As shown, the following steps are included:

[0105] The visual unit obtains information by scanning the identification code, and the specific operation is as above;

[0106] The information collection module determines whether the medical device has not been used for a long time by comparing the usage frequency and the last usage time of the medical device with the set threshold.

[0107] When the medical device is not used for a long time, the information acquisition module performs the first type of shooting, that is, the visual unit directly shoots high-resolution color images;

[0108] When the medical device does not meet the condition of long-term non-use, the information collection module will perform the second type of shooting, namely graded shooting.

[0109] According to a preferred embodiment, the hierarchical shooting includes the following steps:

[0110] The visual unit prioritizes low-resolution grayscale image capture;

[0111] The sub-processing center unit receives the low-resolution grayscale image and screens and compares it with the healthy image of the device. The comparison method mainly includes whether the device outline, planar foreign matter and the positions of different grayscale features are disordered;

[0112] When the sub-processing center unit finds that the device may be deformed, bent, broken or broken based on the comparison, it instructs the visual unit to further take a high-definition grayscale picture of the problem area, and the image is sent to the processing center unit;

[0113] The processing center unit analyzes and determines the damage mode and degree of the medical equipment based on the image.

[0114] According to a preferred embodiment, the high-resolution color image can be used to determine whether foreign matter is attached to the equipment, such as rust or dust accumulation. The high-resolution color image can also be used to determine whether the equipment has loose or fallen off connectors, or whether the equipment is deformed, bent, broken or broken.

[0115] According to a preferred embodiment, the low-resolution grayscale image can be used to determine whether the device has loose or detached connectors, or whether the device is deformed, bent, broken or broken by comparing the device contour, planar foreign objects, and whether the positions of different grayscale features are disordered.

[0116] According to a preferred embodiment, the degree of damage can be graded based on the percentage of the damaged area to the overall equipment area.

[0117] By taking and processing images in stages, the visual unit does not need to maintain high-precision focus for a long time, and the data processing volume of the processing center unit can be reduced, thereby increasing the efficiency of the system detection equipment. At the same time, since the information acquisition module is provided with a sub-processing center unit that can simply process images with low text size, the time for sending images to the processing center unit is reduced, further increasing the time that the information acquisition module stays at the device during the device inspection, and also reducing its interference with the use of the device.

[0118] The present invention is described with reference to the flowcharts and / or block diagrams of the methods, apparatuses, devices and storage media of the embodiments. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0119] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to produce a computer-implemented process, so that the instructions executed on the computer or other programmable device provide for implementing the process in the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0120] It should be noted that the above-mentioned specific embodiments are exemplary, and those skilled in the art can come up with various solutions inspired by the disclosure of the present invention, and these solutions also belong to the disclosure scope of the present invention and fall within the protection scope of the present invention. Those skilled in the art should understand that the present invention specification and its drawings are illustrative and do not constitute a limitation of the claims. The scope of protection of the present invention is defined by the claims and their equivalents. The present invention specification contains multiple inventive concepts, such as "preferably", "according to a preferred embodiment" or "optionally", all of which indicate that the corresponding paragraph discloses an independent concept, and the applicant reserves the right to file a divisional application based on each inventive concept. Throughout the text, the feature guided by "preferably" is only an optional method and should not be understood as a must-have setting. Therefore, the applicant reserves the right to abandon or delete the relevant preferred features at any time.

Claims

1. An intelligent system for equipment inspection and repair, the system comprising an information collection module for collecting equipment information for patient life monitoring through mobile and an information processing module capable of processing dynamic data and static data of the equipment for patient life monitoring, the information processing module comprising a processing center unit configured to establish equipment demand allocation and damage repair priority based on the static data and the dynamic data, wherein: The static data collected and generated by the static data storage component of the equipment related to patient life monitoring is the relevant information when the equipment related to patient life monitoring is in normal working state. The dynamic data collected and generated by the dynamic data storage component of the equipment related to patient life monitoring is the self-test information of the equipment related to patient life monitoring. It is characterized in that When the information acquisition module performs equipment inspection in a hospital environment, the information acquisition module can move according to a navigation path pre-planned in a manner related to disinfection constraints, personnel constraints, and power constraints provided by the information processing module, The processing center unit generates the shortest outbound path to the first device in response to a first threshold value exceeding the difference between "dynamic data collected by the dynamic data storage component" and "static data collected and generated by the static data storage component" of the first device related to patient life monitoring, wherein the return path for the shortest outbound path is generated by the processing center unit according to the situation that the difference between the dynamic data and the static data of the second device related to patient life monitoring under the same disinfection constraint exceeds the second threshold value, at least taking into account the power constraint condition, wherein the first threshold value can be set to a code representing that the first device is in a first state generated according to the modular maintenance reported by the first device, the second threshold value can be set to a code representing that the second device is in a second state generated according to the modular maintenance reported by the second device, the same disinfection constraint condition means that the disinfection conditions of the environment in which the path is located are the same, and the power constraint condition means that the power source energy carried by the intelligent system itself for driving it to complete maintenance, inspection or movement activities is limited, When the first device is in the first state, it indicates that the problem does not affect the normal use of the device, and the intelligent system can independently complete the repair of the device problem. When the second device is in the second state, it indicates that the problem does not affect the normal use of the device, but the problem solving requires the participation of maintenance personnel.

2. The system according to claim 1, characterized in that The information acquisition module can perform preliminary filtering on the acquired information and then send it to the information processing module, wherein the filtering conditions are image accuracy and the number of channels.

3. The system according to claim 1 or 2, characterized in that: The detection scope of damage repair can include physical damage discovered by equipment self-inspection, wherein the physical damage can be abnormal operation of the power supply, loose connections, aging of components, or gas or liquid leakage in the equipment.

4. The system according to claim 1, characterized in that The information processing module is configured to perform equipment demand allocation related to the equipment for patient life monitoring in a first priority order based on an alarm instruction of equipment demand from an external device.

5. The system according to claim 4, characterized in that When no equipment requirement alarm instruction is received, the external unit carrying the visual unit can capture images of the equipment for patient life monitoring in a set area to obtain information about the equipment for patient life monitoring within the field of view, which includes an identification code, bar code and / or equipment identification card associated with the equipment, providing a basis for judgment on damage repair reports of the equipment for patient life monitoring.

6. The system according to claim 5, characterized in that The identification code includes information about the type of the device for patient life monitoring, the frequency of use of the device for patient life monitoring, the last time the device for patient life monitoring was used, and the scheduled use of the device for patient life monitoring.

7. The system according to claim 5, characterized in that The system also includes a sub-processing center unit mounted on the external unit, and the sub-processing center unit is capable of performing first-level processing on the data collected by the visual unit, wherein the first-level processing includes selective transmission of data, comparison of low-quality collected images and storage of data.

8. The system according to claim 7, characterized in that The external unit includes a navigation component with cruising capability and a mobile component with movement capability. Through the cooperation of the navigation component and the mobile component, the visual unit can acquire information from devices at different locations through the external unit carrying it.

9. The system according to claim 5, characterized in that The quality of the image is determined by the number of pixels and pixel channels in the image.

10. The system according to claim 1, characterized in that The system includes a display module, which forms a data flow channel with the information processing module in a wired or wireless manner, so that the information processing module can re-establish the equipment demand allocation and damage repair priority of the equipment used for patient life monitoring based on the information transmitted by the display module.

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