A method and apparatus for compliance management of medical waste transportation

Abstract

This application relates to a method and device for compliance management of medical waste transportation, belonging to the field of intelligent logistics management technology. This application realizes the leap from static approval to dynamic intelligent supervision of medical waste transportation through the fusion of intelligent sensor networks and multi-source data. It transforms legal provisions into digital parameters that can be automatically verified, and conducts real-time, visualized compliance audits and risk warnings for the entire transportation process. Through spatial interpolation heat maps, it accurately locates the source of anomalies in the vehicle compartment, improves the speed of risk response and management accuracy, reduces the burden of manual labor, and thus constructs an efficient and compliant intelligent medical waste transportation supervision model.

Description

Technical Field

[0001] This application relates to the field of intelligent logistics management technology, and in particular to a method and apparatus for compliant management of medical waste transportation. Background Technology

[0002] With the rapid development of my country's medical and health undertakings and the public's increasing awareness of environmental protection and health safety, the safe and compliant disposal of medical waste has become a key link in the field of public health and environmental governance. Medical waste (such as infectious waste, pathological waste, sharps waste, pharmaceutical waste, and chemical waste) has direct or indirect infectiousness and toxicity hazards. If leakage, spillage, illegal dumping, or interruption of information traceability occurs during transportation, it can easily cause serious secondary pollution, disease transmission, and social panic. Traditional medical waste transportation management relies heavily on paper manifests, manual handover, and post-event inspections, which have pain points such as low information flow efficiency, weak real-time monitoring capabilities, opaque process traceability, and difficulty in compliance verification. Regulatory agencies find it difficult to conduct full-process, dynamic, and visualized closed-loop supervision of vehicle status, waste packaging, route compliance, and handover processes during transportation. Summary of the Invention

[0003] Therefore, it is necessary to provide a method and device for managing the compliance of medical waste transportation that can improve the speed of risk response and the accuracy of management, in response to the above-mentioned technical problems.

[0004] Firstly, a method for managing the compliance of medical waste transportation is provided, the method comprising:

[0005] Obtain first relevant information about medical waste, including waste category, generating unit, generation time, hazard level, and estimated transport volume;

[0006] Based on the first relevant information and the preset compliance standard library, a second relevant information is generated, which is used to describe the transportation compliance benchmark parameters;

[0007] Based on the second relevant information, a smart electronic tag with a unique identification code and an in-vehicle smart terminal are identified, and the smart electronic tag is bound to the medical waste transport container carrying the medical waste, and the in-vehicle smart terminal is equipped on the transport vehicle transporting the medical waste transport container. The smart electronic tag is equipped with a status sensor.

[0008] Based on the vehicle-mounted intelligent terminal, third relevant information is obtained, which includes at least vehicle location, driving trajectory, interior environmental data of the vehicle compartment, and association and binding information with the intelligent electronic tag;

[0009] Based on the third relevant information and the transportation compliance benchmark parameters, the compliance status assessment result is determined. In response to the compliance status assessment result meeting the preset standard, an early warning message is triggered and pushed to the management terminal.

[0010] Optionally, after obtaining the first relevant information about medical waste, the method further includes:

[0011] Preprocessing the first relevant information includes:

[0012] Based on the preset medical waste classification standards, the waste categories are mapped to standardized classification codes;

[0013] Convert the estimated transport volume into a preset standard weight unit;

[0014] Convert the generated time format to a standard time format and time zone;

[0015] Based on the standardized classification code, the hazard level of the medical waste is determined, and the hazard level is quantified to generate a hazard weight coefficient.

[0016] The generating unit is associated and matched with the pre-stored institutional geographic information archive to obtain the geographic location data of the generating unit;

[0017] Logical consistency and integrity checks are performed on the preprocessed first relevant information. In response to the completion of the check, the first relevant information is encapsulated into a pre-shipment data packet and marked.

[0018] Optionally, based on the first relevant information and a preset compliance standard library, a second relevant information is generated. The second relevant information is used to describe the transportation compliance benchmark parameters, including:

[0019] Based on the standardized classification codes and hazard weight coefficients in the pre-shipment order data package, the set of regulatory clauses and the set of operational standards are determined from the preset compliance standard library;

[0020] Based on the generation time, the geographical location data of the generating unit, the preset disposal facility information and its working time, a first time and a second time are calculated and determined. The first time is used to describe the transportation arrival time, and the second time is used to describe the total transportation time.

[0021] Based on the geographical location data of the generating unit, the location of the preset treatment facilities, the data of regional environmentally sensitive areas, and traffic control information, the permitted electronic fences, prohibited areas, and transit points are determined.

[0022] Based on the set of regulations and operating standards, generate configuration parameters and threshold ranges for the interior environmental data of the transport vehicle.

[0023] Based on the aforementioned set of regulations, the receiving unit is determined, and standardized electronic handover process parameters containing digital verification points are generated.

[0024] Based on the aforementioned hazard weighting coefficients and transportation route characteristics, quantitative condition parameters for triggering different levels of emergency response plans are determined.

[0025] Define all generated parameters as the second relevant information.

[0026] Optionally, based on the second relevant information, determining a smart electronic tag with a unique identifier and an on-board smart terminal, binding the smart electronic tag to the medical waste transport container carrying the medical waste, and equipping the transport vehicle transporting the medical waste transport container with the on-board smart terminal include:

[0027] Extract the waste category, generating unit, generation time and expected transport volume from the first relevant information, and the second time, hazard weight coefficient and threshold range of the interior environment data of the carriage from the second relevant information;

[0028] Based on the waste category, the generating unit, the generating time, the expected transport volume, the second time, the hazard weight coefficient, and the threshold range of the internal environmental data of the vehicle compartment, the location information of the medical waste inside the transport vehicle and the target transport vehicle are determined.

[0029] Based on the first relevant information and the second relevant information, the functional configuration parameters and unique identification code of the smart electronic tag are determined, and the functional configuration parameters include at least the positioning information;

[0030] The configured smart electronic tag is bound to the medical waste transport container carrying the medical waste, and based on the binding result, the vehicle-mounted smart terminal is determined and installed on the target transport vehicle.

[0031] Optionally, based on the third relevant information and the transportation compliance benchmark parameters, the compliance status assessment result is determined as follows:

[0032] The vehicle location and driving trajectory of the transport vehicle are obtained in real time;

[0033] Based on the vehicle location, the driving trajectory, and the transportation compliance benchmark parameters, the deviation of the transportation vehicle is determined. The method for calculating the deviation includes: y = w1k1 + w2k2 + w3k3, where y is the deviation, w1, w2, and w3 are all weighting coefficients, k1 represents the trajectory deviation coefficient, k2 represents the position deviation coefficient, and k3 represents the time deviation coefficient.

[0034] In response to the deviation being greater than a first preset threshold, the compliance status assessment result is determined based on a first compliance status assessment mechanism;

[0035] In response to the deviation being less than or equal to a first preset threshold, the compliance status assessment result is determined based on a second compliance status assessment mechanism.

[0036] Optionally, in response to the deviation being greater than a first preset threshold, the compliance status assessment result is determined based on a first compliance status assessment mechanism, including:

[0037] The system acquires the door opening / closing status of the transport vehicle during transport, the internal environmental data of the vehicle compartment, and the location information of the medical waste.

[0038] Based on the door opening / closing status, the interior environmental data of the vehicle compartment, and the location information of the medical waste, the first evaluation parameter is determined;

[0039] In response to the first evaluation parameter being greater than the second preset threshold, it is determined that the compliance status evaluation result meets the preset standard, and an early warning message is triggered.

[0040] Optionally, in response to the deviation being less than or equal to a first preset threshold, the compliance status assessment result is determined based on a second compliance status assessment mechanism, including:

[0041] In response to the deviation being less than or equal to a first preset threshold and the first evaluation parameter being less than or equal to a second preset threshold, current interior environment data of the carriage is acquired, and the current interior environment data of the carriage is compared with the threshold range of the interior environment data of the carriage.

[0042] In response to the current interior environment data of the carriage not being within the threshold range of the interior environment data of the carriage, an environmental anomaly event is triggered, and the compliance status assessment result is determined based on the third compliance status assessment mechanism;

[0043] In response to the current interior environment data of the carriage falling within the threshold range of the interior environment data of the carriage, the compliance status assessment result is determined based on the second compliance status assessment mechanism.

[0044] Optionally, in response to the current interior environment data of the carriage not being within the threshold range of the interior environment data of the carriage, the compliance status assessment result is determined based on the third compliance status assessment mechanism, including:

[0045] Acquire time-series data, which includes the third time when the medical waste enters the compartment of the transport vehicle, the fourth time when the abnormal environmental event is triggered, and the first location information of the medical waste entering the compartment of the transport vehicle and the second location information of the abnormal environmental event, as recorded by the smart electronic tag.

[0046] Acquire the interior environmental data of the carriage at a time adjacent to the fourth time, and determine the spatial distribution view of the interior environmental parameters of the carriage through a spatial interpolation algorithm;

[0047] Determine the time interval between the third time and the fourth time, and the first positioning deviation value between the first positioning information and the second positioning information;

[0048] Based on the aforementioned hazard weighting coefficients, the target medical waste transfer container is determined;

[0049] Based on the time interval, the first positioning deviation value, the spatial distribution view, and the hazard weight coefficient of the target medical waste transfer container, the correlation value for the target medical waste transfer container to trigger the environmental anomaly event is determined;

[0050] Based on the correlation value, the target medical waste is identified, and the compliance status assessment result is determined to meet the preset standard, triggering an early warning message, which includes the location information of the target medical waste.

[0051] Optionally, in response to the current interior environment data of the carriage falling within a threshold range of the interior environment data, the compliance status assessment result is determined based on the second compliance status assessment mechanism, including:

[0052] Determine the first location information of the medical waste entering the compartment of the transport vehicle and the third location information of the medical waste at the current time;

[0053] Determine a second positioning deviation value between the first positioning information and the third positioning information;

[0054] The fitting coefficients are obtained by fitting the second positioning deviation value and the hazard weight coefficient of the medical waste;

[0055] If the fitting coefficient is greater than a third preset threshold, it is determined that the compliance status assessment result meets the preset standard, and an early warning message is triggered.

[0056] Secondly, a medical waste transportation compliance management device is provided, the device comprising:

[0057] The data acquisition module is used to acquire the first relevant information about medical waste, which includes waste category, generating unit, generation time, hazard level and expected transportation volume;

[0058] The first processing module is used to generate second relevant information based on the first relevant information and the preset compliance standard library. The second relevant information is used to describe the transportation compliance benchmark parameters.

[0059] The second processing module is used to determine, based on the second relevant information, a smart electronic tag with a unique identification code and a vehicle-mounted smart terminal, bind the smart electronic tag to the medical waste transport container carrying the medical waste, and equip the transport vehicle transporting the medical waste transport container with the vehicle-mounted smart terminal. The smart electronic tag is equipped with a status sensor.

[0060] The third processing module is used to obtain third relevant information based on the vehicle-mounted intelligent terminal. The third relevant information includes at least vehicle location, driving trajectory, interior environmental data of the vehicle compartment, and association binding information with the intelligent electronic tag.

[0061] The early warning module is used to determine the compliance status assessment result based on the third relevant information and the transportation compliance benchmark parameters, and to trigger an early warning message in response to the compliance status assessment result meeting the preset standard, and to push the early warning message to the management terminal.

[0062] Thirdly, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to perform the following steps:

[0063] Obtain first relevant information about medical waste, including waste category, generating unit, generation time, hazard level, and estimated transport volume;

[0064] Based on the first relevant information and the preset compliance standard library, a second relevant information is generated, which is used to describe the transportation compliance benchmark parameters;

[0065] Based on the second relevant information, a smart electronic tag with a unique identification code and an in-vehicle smart terminal are identified, and the smart electronic tag is bound to the medical waste transport container carrying the medical waste, and the in-vehicle smart terminal is equipped on the transport vehicle transporting the medical waste transport container. The smart electronic tag is equipped with a status sensor.

[0066] Based on the vehicle-mounted intelligent terminal, third relevant information is obtained, which includes at least vehicle location, driving trajectory, interior environmental data of the vehicle compartment, and association and binding information with the intelligent electronic tag;

[0067] Based on the third relevant information and the transportation compliance benchmark parameters, the compliance status assessment result is determined. In response to the compliance status assessment result meeting the preset standard, an early warning message is triggered and pushed to the management terminal.

[0068] Fourthly, a computer-readable storage medium is provided, on which a computer program is stored, wherein the computer program, when executed by a processor, performs the following steps:

[0069] Obtain first relevant information about medical waste, including waste category, generating unit, generation time, hazard level, and estimated transport volume;

[0070] Based on the first relevant information and the preset compliance standard library, a second relevant information is generated, which is used to describe the transportation compliance benchmark parameters;

[0071] Based on the second relevant information, a smart electronic tag with a unique identification code and an in-vehicle smart terminal are identified, and the smart electronic tag is bound to the medical waste transport container carrying the medical waste, and the in-vehicle smart terminal is equipped on the transport vehicle transporting the medical waste transport container. The smart electronic tag is equipped with a status sensor.

[0072] Based on the vehicle-mounted intelligent terminal, third relevant information is obtained, which includes at least vehicle location, driving trajectory, interior environmental data of the vehicle compartment, and association and binding information with the intelligent electronic tag;

[0073] Based on the third relevant information and the transportation compliance benchmark parameters, the compliance status assessment result is determined. In response to the compliance status assessment result meeting the preset standard, an early warning message is triggered and pushed to the management terminal.

[0074] Fifthly, a computer program product is provided, the computer program product comprising a computer program, which, when executed by a processor, performs the following steps:

[0075] Obtain first relevant information about medical waste, including waste category, generating unit, generation time, hazard level, and estimated transport volume;

[0076] Based on the first relevant information and the preset compliance standard library, a second relevant information is generated, which is used to describe the transportation compliance benchmark parameters;

[0077] Based on the second relevant information, a smart electronic tag with a unique identification code and an in-vehicle smart terminal are identified, and the smart electronic tag is bound to the medical waste transport container carrying the medical waste, and the in-vehicle smart terminal is equipped on the transport vehicle transporting the medical waste transport container. The smart electronic tag is equipped with a status sensor.

[0078] Based on the vehicle-mounted intelligent terminal, third relevant information is obtained, which includes at least vehicle location, driving trajectory, interior environmental data of the vehicle compartment, and association and binding information with the intelligent electronic tag;

[0079] Based on the third relevant information and the transportation compliance benchmark parameters, the compliance status assessment result is determined. In response to the compliance status assessment result meeting the preset standard, an early warning message is triggered and pushed to the management terminal.

[0080] The aforementioned method and apparatus for managing the compliance of medical waste transportation, the method comprising: acquiring first relevant information about medical waste, the first relevant information including waste category, generating unit, generation time, hazard level, and estimated transportation volume; generating second relevant information based on the first relevant information and a preset compliance standard library, the second relevant information being used to describe transportation compliance benchmark parameters; determining a smart electronic tag with a unique identifier and an on-board intelligent terminal based on the second relevant information, binding the smart electronic tag to a medical waste transfer container carrying the medical waste, and equipping the transport vehicle transporting the medical waste transfer container with the on-board intelligent terminal, the smart electronic tag being equipped with a status sensor; and acquiring third relevant information based on the on-board intelligent terminal, the third relevant information being... It includes at least vehicle location, driving trajectory, interior environmental data of the vehicle compartment, and association binding information with the smart electronic tag; based on the third relevant information and the transportation compliance benchmark parameters, it determines the compliance status assessment result; in response to the compliance status assessment result meeting the preset standard, it triggers an early warning information and pushes the early warning information to the management terminal. This application realizes the leap from static approval to dynamic intelligent supervision of medical waste transportation through the fusion of intelligent sensor networks and multi-source data, transforming legal provisions into automatically verifiable digital parameters, conducting real-time and visualized compliance audits and risk warnings for the entire transportation process, and accurately locating the source of anomalies in the vehicle compartment through spatial interpolation heat maps, improving risk response speed and management accuracy, reducing manual burden, and thus constructing an efficient and compliant smart medical waste transportation supervision model. Attached Figure Description

[0081] Figure 1 This is a diagram illustrating the application environment of a medical waste transportation compliance management method in one embodiment.

[0082] Figure 2 This is a flowchart illustrating a method for managing the compliance of medical waste transportation in one embodiment;

[0083] Figure 3 This is a structural block diagram of a medical waste transportation compliance management device in one embodiment;

[0084] Figure 4 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0085] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0086] It should be understood that, in the description of this application, unless the context explicitly requires it, words such as "including" or "comprising" throughout the specification should be interpreted as including rather than exclusive or exhaustive; that is, meaning "including but not limited to".

[0087] It should also be understood that the terms "first," "second," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance. Furthermore, in the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0088] It should be noted that the terms "S1," "S2," etc., are used only for descriptive purposes and do not specifically refer to the order or sequence, nor are they intended to limit this application. They are merely for the convenience of describing the method of this application and should not be construed as indicating the sequential order of the steps. Furthermore, the technical solutions of the various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed in this application.

[0089] The medical waste transportation compliance management method provided in this application can be applied to, for example... Figure 1 In the application environment shown, terminal 102 communicates with a data processing platform set on server 104 via a network. Terminal 102 can be, but is not limited to, various personal computers, laptops, smartphones, tablets, and portable wearable devices. Server 104 can be implemented as a standalone server or a server cluster consisting of multiple servers.

[0090] In one embodiment, such as Figure 2 As shown, a method for compliance management of medical waste transportation is provided, which is applied to... Figure 1 Taking the terminal in the example, the explanation includes the following steps:

[0091] S1: Obtain first relevant information about medical waste, including waste category, generating unit, generation time, hazard level, and expected transport volume.

[0092] It should be noted that the first relevant information refers to the core static attribute data set of medical waste that is determined after its generation and before transportation; the waste category is a standardized classification of medical waste according to the national "Medical Waste Classification Catalog", mainly divided into five categories: infectious waste, sharps waste, pathological waste, pharmaceutical waste, and chemical waste; the generating unit refers to the source institution of the medical waste, usually various hospitals, clinics, community health service centers, testing and inspection institutions, medical laboratories, and other medical and health institutions, which is the basis for determining the collection point and transportation starting point; the generation time refers to the specific time when the medical waste is classified, packaged, and leaves the clinical department or treatment unit where it was generated, which is the starting benchmark for calculating the allowable storage and transportation time limit; the hazard level is a further classification of risk level (such as high, medium, and low) based on the standard classification, according to the specific composition, pathogen load, toxicity, or chemical activity of the waste, which is used to guide the risk control level during transportation; the estimated transportation volume refers to the estimated weight or volume of the medical waste to be transported, which is used to plan the specifications and quantity of the required transfer containers and the carrying capacity of the vehicles.

[0093] S2: Based on the first relevant information and the preset compliance standard library, generate the second relevant information, which is used to describe the transportation compliance benchmark parameters.

[0094] It should be noted that the second set of relevant information is a quantifiable and executable digital transportation instruction generated based on the first set of information. It transforms abstract regulations into specific operational parameters. The preset compliance standard library refers to a digital rule knowledge base integrated into the system backend, which contains all relevant clauses such as the "Regulations on the Management of Medical Waste", local regulations, industry standards, and transportation operation procedures. These clauses are structured and parameterized for automatic system invocation and matching. The transportation compliance benchmark parameters refer to specific quantitative indicators matched and generated from the compliance standard library, such as the maximum allowable transportation time, designated transportation routes (electronic fences), environmental thresholds (temperature, humidity) inside the vehicle, mandatory vehicle / container configuration requirements, designated handover points and receiving units, etc.

[0095] S3: Based on the second relevant information, identify a smart electronic tag with a unique identifier and an in-vehicle smart terminal, bind the smart electronic tag to the medical waste transport container carrying the medical waste, and equip the transport vehicle transporting the medical waste transport container with the in-vehicle smart terminal. The smart electronic tag is equipped with a status sensor.

[0096] It should be noted that a smart electronic tag is a smart hardware device attached to a medical waste transport container, typically integrating RFID / NFC chips, low-power sensors, etc., to assign a unique digital identity to the container and sense its status (such as whether it is sealed, internal temperature and humidity, and location information); a vehicle-mounted smart terminal refers to an integrated smart device installed on a dedicated medical waste transport vehicle, which typically has functions such as GPS / BeiDou positioning, mobile communication, data collection and forwarding, and audio and video processing; binding refers to the process of establishing a one-to-one and tamper-proof association between the unique identification code of the smart electronic tag and the specific physical transport container in the system platform; status sensors are detection elements integrated into the smart electronic tag or the vehicle compartment, used to monitor the physical status in real time, common types include: temperature sensors, humidity sensors, acceleration sensors (to detect drops or severe vibrations), light sensors (to detect whether the container has been illegally opened), and location information of the medical waste transport container within the transport vehicle, etc.

[0097] S4: Based on the vehicle-mounted intelligent terminal, obtain third relevant information, which includes at least vehicle location, driving trajectory, interior environmental data of the vehicle compartment, and association binding information with the intelligent electronic tag.

[0098] It should be noted that the third relevant information is a dynamic data stream collected and uploaded in real time by the vehicle-mounted intelligent terminal and intelligent electronic tags during transportation, reflecting the actual execution status of the transportation task; the vehicle location / driving trajectory is a sequence of vehicle geographical coordinates with timestamps obtained by the satellite positioning module of the vehicle-mounted terminal, used to track vehicle movement and replay the driving path in real time; the internal environmental data of the compartment is micro-environmental parameters collected by sensors fixed in the compartment or on container tags, such as real-time temperature, humidity, and volatile organic compound concentration, used to monitor whether the transportation conditions meet the waste preservation requirements; the associated binding information refers to the real-time list of which containers are currently located in the vehicle after the vehicle-mounted terminal reads the signal from the intelligent electronic tag in the compartment, which can be used to confirm the cargo loading status.

[0099] S5: Based on the third relevant information and the transportation compliance benchmark parameters, determine the compliance status assessment result, and in response to the compliance status assessment result meeting the preset standard, trigger an early warning message and push the early warning message to the management terminal.

[0100] It should be noted that the compliance status assessment result refers to the system's conclusive judgment on whether the current transportation process complies with all regulations after real-time, automatic comparison and comprehensive analysis of the third relevant information and the benchmark parameters in the second relevant information. It is usually presented in the form of compliance, warning, violation status codes and detailed reports. The preset standard refers to the threshold or condition that triggers different levels of management actions. For example, a brief exceedance of the temperature in the carriage by 0.5°C may only be logged, while exceeding 2°C or continuously exceeding the limit will trigger a warning. The warning information refers to the structured alarm message automatically generated by the system when the assessment result indicates the existence of potential or actual risks. The content usually includes the warning level, time and location of occurrence, type of violation, possible cause and suggested measures. The management terminal refers to the personnel or system interface that receives and handles the warning information. It can be the mobile APP of the transportation dispatcher, the computer screen of the fleet management center, or the data interface directly connected to the government regulatory platform.

[0101] In some specific embodiments, after obtaining the first relevant information about medical waste, the method further includes:

[0102] Preprocessing the first relevant information includes:

[0103] Based on the preset medical waste classification standards, the waste categories are mapped to standardized classification codes. For example, non-standardized waste descriptions from different medical institutions (generating units) (such as infectious waste, blood-stained gauze, and used needles) are mapped to standard classification codes (such as infectious waste-01 and sharps waste-03) according to the national "Medical Waste Classification Catalog".

[0104] The estimated transport volume is converted into a preset standard weight unit. Specifically, regardless of whether the source data is kilogram, gram, or liter (for liquid waste, the weight needs to be estimated by combining density), the estimated transport volume is uniformly converted into a standard unit of measurement (such as kilogram).

[0105] The generated time format is converted to a standard time format and time zone, such as unifying the generated time to a standard time format (e.g., ISO 8601: YYYY-MM-DD HH:MM:SS) and converting it to a unified time zone (e.g., Beijing time).

[0106] Based on the standardized classification code, the hazard level of the medical waste is determined, and the hazard level is quantified to generate a hazard weight coefficient. The hazard weight coefficient is automatically matched from a pre-set database according to the waste category. The database pre-stores the mapping relationship between hazard level and hazard weight coefficient, and quantifies it, such as high, medium and low, into values ​​that can be used for calculation, such as assigning weight coefficients of 1.0, 0.6 and 0.3.

[0107] The generating unit is associated and matched with the pre-stored geographic information archives of institutions to obtain the geographic location data of the generating unit. That is, the name of the generating unit is associated with the pre-stored medical institution archives in the system (including its geographic location coordinates, administrative division, credit rating and other information), thereby providing geographic information for subsequent route planning and regional supervision.

[0108] Logical consistency and integrity checks are performed on the preprocessed first relevant information. In response to the completion of the checks, the first relevant information is encapsulated into a pre-shipment data packet and marked, i.e., a corresponding preprocessing identifier is assigned to it. The logical check is to perform logical checks according to preset rules, such as checking whether the waste category and hazard level match, and checking whether the generation time is before the current time (future time is invalid). The integrity check is to check whether key fields (such as waste category and generating unit) are empty. For non-critical but important missing fields (such as hazard level), the value is automatically matched and filled in from the database according to the waste category.

[0109] In some specific implementations, based on the first relevant information and a preset compliance standard library, a second relevant information is generated. This second relevant information describes the transportation compliance benchmark parameters, including:

[0110] Based on the standardized classification codes and hazard weight coefficients in the pre-shipment data package, the set of regulatory clauses and the set of operational standards are determined from the preset compliance standard library, such as matching more stringent transportation time limits, more enclosed vehicle requirements and specific transportation route restrictions to highly infectious waste.

[0111] Based on the generation time, the geographical location data of the generating unit, the preset disposal facility information and its working time, a first time and a second time are calculated and determined. The first time is used to describe the transportation arrival time, that is, the latest arrival time at the disposal site. The second time is used to describe the total transportation time, that is, the maximum allowable total transportation time can be calculated and determined based on the latest arrival time at the disposal site.

[0112] Based on the geographical location data of the generating unit, the location of the preset disposal facilities, the data of regional environmentally sensitive areas, and traffic control information, the permitted electronic fence (i.e., the permitted passage area), the prohibited passage area (such as water source protection areas, core sections of densely populated areas), and the transit points (such as designated transfer stations, called key points) are determined.

[0113] Based on the aforementioned set of regulations and operational standards, configuration parameters and threshold ranges for the internal environmental data of the transport vehicle are generated, such as the upper limit of the allowable range of environmental parameters such as temperature and humidity inside the vehicle during transportation. Configuration parameters refer to carrier and operational requirements parameters such as vehicle requirements and container requirements. For example, based on the hazardous characteristics of the waste (such as whether refrigeration or shockproofing is required), mandatory configuration requirements for transport vehicles are generated, such as requiring them to be sealed, leak-proof vans, and requiring temperature and humidity monitoring equipment inside the vehicle. Container requirements include the use of double-layer high-strength plastic bags and a sharps container loading rate not exceeding 3 / 4.

[0114] Based on the aforementioned set of regulations, the receiving unit is determined, and standardized electronic handover process parameters containing digital verification points are generated. This clearly designates the legitimate receiving unit (disposal site) for this transportation task and generates verification points for the digital handover process (such as the type of QR code to be scanned and the identity information of the personnel to be verified).

[0115] Based on the aforementioned hazard weighting coefficient and transportation route characteristics, quantitative condition parameters for triggering different levels of emergency response plans are determined. These quantitative condition parameters include vehicles staying at unplanned points for more than 30 minutes and the internal temperature of the vehicle exceeding a threshold of 10%.

[0116] Define all generated parameters as the second relevant information.

[0117] In some specific embodiments, based on the second relevant information, determining a smart electronic tag with a unique identifier and an in-vehicle smart terminal, binding the smart electronic tag to the medical waste transport container carrying the medical waste, and equipping the transport vehicle transporting the medical waste transport container with the in-vehicle smart terminal include:

[0118] Extract the waste category, generating unit, generation time and expected transport volume from the first relevant information, and the second time, hazard weight coefficient and threshold range of the interior environment data of the carriage from the second relevant information;

[0119] Based on the waste category, the generating unit, the generating time, the estimated transport volume, the second time, the hazard weight coefficient, and the threshold range of the internal environmental data of the vehicle compartment, the location information of the medical waste inside the transport vehicle compartment and the target transport vehicle are determined. Specifically, a three-dimensional grid coordinate system for the vehicle compartment is established: with the inner wall of the vehicle compartment as the boundary, a three-dimensional coordinate system is established (X-axis is the length direction of the vehicle compartment, Y-axis is the width direction, and Z-axis is the height direction). The internal space of the vehicle compartment is discretized into virtual grid cells of standard size, and isolation rules, stacking rules, and access order rules are determined. The isolation rules, based on waste categories and hazard weight coefficients, specify the minimum safe distance between containers of different categories / levels of waste (e.g., infectious and sharps wastes require physical isolation, and high-hazard-weight wastes or wastes with high environmental requirements require separate storage areas, etc.). The stacking rules, based on container types (e.g., sharps containers, turnover boxes) and the number and volume of containers calculated from the expected transport volume, specify the maximum number of stacking layers and load-bearing requirements. The storage and retrieval order rules, based on the time of generation and / or hazard weight coefficients, specify the loading order (e.g., first-generated wastes are loaded first, and high-risk wastes are loaded later to facilitate priority unloading). The constraints and objective (maximizing space utilization while strictly adhering to all loading rules) are defined. Using a computational model, the optimal location is determined. The specific algorithm logic involves inputting parameters into the computational model. These parameters include container set information, a carriage model, and loading rules. The container set information includes a unique identifier for each container (bound to a smart tag), its corresponding waste category, hazard weight coefficient, and expected transport volume (converted to container size). The carriage model is a 3D mesh model of the available space. The loading rules are the isolation, stacking, and access rules mentioned above. Heuristic search or constraints are used to determine the optimal location. The algorithm solves the problem by starting from a reference point in the carriage (such as the lower left corner inside the rear door) and attempting to assign a three-dimensional spatial position (grid coordinates) to each container according to the access order rules. Each assigned position is immediately checked for violations of all isolation rules (spatial distance checks with already placed containers) and stacking rules. If a conflict occurs, the algorithm backtracks and tries another position until a compliant parking position is found for all containers. The output includes the precise position of each container (associated with its unique identifier) ​​in the carriage's three-dimensional grid coordinate system, such as (x, y, z) coordinates and a digital loading map showing the length, width, height, and orientation. This map clarifies the initial location of medical waste within the carriage. Based on the second time and initial location information, a simulated transportation and unloading process is performed to assess the time required to remove all containers from the innermost and bottommost layers. If the simulated unloading time is too long, potentially affecting the completion of the task within the specified total time, the system will re-optimize the loading plan (e.g., adjusting high-risk or pre-unloading containers to more easily accessible locations) and update the digital loading map until the requirements are met.

[0120] Based on the first relevant information and the second relevant information, the functional configuration parameters and unique identification code of the smart electronic tag are determined. The functional configuration parameters include at least the positioning information, and also include functions such as temperature and humidity detection.

[0121] The configured smart electronic tag is bound to the medical waste transport container carrying the medical waste, and the vehicle-mounted smart terminal is determined based on the binding result. That is, a digital association is established between the vehicle-mounted smart terminal and the medical waste transport container, and the vehicle-mounted smart terminal is installed on the target transport vehicle.

[0122] In some specific implementations, determining the compliance status assessment result based on the third relevant information and the transportation compliance benchmark parameters includes:

[0123] The vehicle location and driving trajectory of the transport vehicle are obtained in real time;

[0124] Based on the vehicle location, the driving trajectory, and the transportation compliance benchmark parameters, the deviation of the transport vehicle is determined. The deviation is calculated as follows: y = w1k1 + w2k2 + w3k3, where y is the deviation, w1, w2, and w3 are weighting coefficients, k1 represents the trajectory deviation coefficient, k2 represents the position deviation coefficient, and k3 represents the time deviation coefficient. A single time deviation coefficient is the difference between the current time and the estimated time. A single position deviation coefficient can be obtained through coordinate difference; for example, if the estimated location is (x1, y1) and the current location is (x2, y2), then the position deviation coefficient is (x1 - x2). 2 +(y1-y2) 2 The deviation coefficient of a single trajectory can be determined by the deviation angle. The coefficients k1, k2, and k3 mentioned above are all sums, that is, the sum of multiple deviation values ​​within the transportation time period.

[0125] In response to the deviation being greater than a first preset threshold, the compliance status assessment result is determined based on a first compliance status assessment mechanism, wherein the first preset threshold can be set according to actual needs;

[0126] In response to the deviation being less than or equal to a first preset threshold, the compliance status assessment result is determined based on a second compliance status assessment mechanism.

[0127] In some specific implementations, in response to the deviation being greater than a first preset threshold, the compliance status assessment result is determined based on a first compliance status assessment mechanism, including:

[0128] The system acquires the door opening / closing status of the transport vehicle during transport, the internal environmental data of the vehicle compartment, and the location information of the medical waste.

[0129] Based on the door opening / closing status, the internal environmental data of the vehicle compartment, and the location information of the medical waste, a first evaluation parameter is determined. Specifically, the location information of the medical waste includes the location information of the medical waste entering the transport vehicle compartment and its current location information. Based on this location information, a location deviation value can be calculated. The calculation method for the location deviation value is the same as described below and will not be repeated here. The door opening / closing status is determined by using the vehicle-mounted door magnetic sensor to determine whether the door has been abnormally opened during transport. Based on this, a door status risk factor is determined: 1 if the door is open, and 0 if it is not open. 0. The internal environmental data of the carriage is obtained through sensors inside the carriage, such as temperature, humidity, vibration amplitude, etc. Based on this, the environmental anomaly degree is determined, that is, the degree to which the internal environmental data of the carriage (such as temperature) deviates from its normal reference value during the deviation period (such as normalized mean square error). The specific calculation formula is: PGCS=q1DOR+q2HJC+q3DWC, where PGCS represents the first evaluation parameter, q1, q2, and q3 all represent weight coefficients, DOR is the door status risk factor, HJC is the environmental anomaly degree, and DWC is the positioning deviation value.

[0130] In response to the first evaluation parameter being greater than the second preset threshold, it is determined that the compliance status evaluation result meets the preset standard, and an early warning message is triggered. The second preset threshold can be set according to actual needs.

[0131] In some specific implementations, in response to the deviation being less than or equal to a first preset threshold, the compliance status assessment result is determined based on a second compliance status assessment mechanism, including:

[0132] In response to the deviation being less than or equal to a first preset threshold and the first evaluation parameter being less than or equal to a second preset threshold, current interior environmental data of the carriage is acquired, and the current interior environmental data of the carriage is compared with the threshold range of the interior environmental data of the carriage. The current interior environmental data of the carriage may include temperature, humidity, etc.

[0133] In response to the current interior environment data of the carriage not being within the threshold range of the interior environment data of the carriage, an environmental anomaly event is triggered, and the compliance status assessment result is determined based on the third compliance status assessment mechanism;

[0134] In response to the current interior environment data of the carriage falling within the threshold range of the interior environment data of the carriage, the compliance status assessment result is determined based on the second compliance status assessment mechanism.

[0135] In some specific implementations, in response to the current interior environment data of the carriage not being within the threshold range of the interior environment data of the carriage, the compliance status assessment result is determined based on a third compliance status assessment mechanism, including:

[0136] Acquire time-series data, which includes the third time when the medical waste enters the compartment of the transport vehicle, the fourth time when the abnormal environmental event is triggered, and the first location information of the medical waste entering the compartment of the transport vehicle and the second location information of the abnormal environmental event, as recorded by the smart electronic tag.

[0137] The internal environmental data of the carriage at times adjacent to the fourth time is obtained. A spatial distribution view of the internal environmental parameters of the carriage is determined by a spatial interpolation algorithm. The adjacent times are the time before and the time after the fourth time. The spatial interpolation algorithm can be the inverse distance weighting method or the Kriging interpolation method. The spatial distribution view can be a two-dimensional or three-dimensional heat map composed of different colors, such as red, yellow and blue. This spatial distribution view is used to represent the areas where environmental anomalies may occur and the diffusion gradient. For example, the blue area represents the area with normal parameters, and the red area represents the area with the highest environmental parameter anomalies and is most likely the source of the problem. Determining the spatial distribution view by spatial interpolation algorithm is a common method. The specific process will not be described in detail here.

[0138] The time interval between the third time and the fourth time is determined, as well as the first positioning deviation value between the first positioning information and the second positioning information. The first positioning deviation value can be determined by positioning. For example, if the first positioning information is (x3, y3, z3) and the second positioning information is (x4, y4, z4), then the first positioning deviation value is (x4-x3). 2 + (y4-y3) 2 +(z4-z3) 2 And so on, without going into further detail;

[0139] Based on the aforementioned hazard weight coefficient, the target medical waste transfer container is determined. Specifically, the higher the hazard weight coefficient, the more likely the corresponding medical waste transfer container is to malfunction. Based on this, the hazard weight coefficients are sorted in descending order, and the top n medical waste transfer containers are defined as the target medical waste transfer containers.

[0140] Based on the time interval, the first positioning deviation value, the spatial distribution view, and the hazard weight coefficient of the target medical waste transfer container, the correlation value for the target medical waste transfer container triggering the environmental anomaly is determined. Specifically, the method for calculating the correlation value includes:

[0141]

[0142]

[0143]

[0144] in, Indicates associated value, Indicates the first correlation coefficient. This represents the second correlation coefficient. Represents a collection of abnormal information. This indicates the total number of medical waste containers to be assessed. This indicates that the anomaly was caused by the nth medical waste container. This indicates that the anomaly was caused by the i-th medical waste container. This represents the hazard weighting coefficient for medical waste container i. This represents the hazard weighting coefficient for medical waste container n. This indicates the spatial distance between the estimated location of medical waste container i and the core area of ​​the abnormal heatmap. The time interval between the third and fourth times. This is the first positioning deviation value. The length of the diagonal of the carriage. This is the maximum allowed duration for this transportation mission, i.e., the second time slot. This indicates the maximum allowable positioning deviation value. , and All are weighting coefficients;

[0145] Based on the correlation value, the target medical waste is identified, and the compliance status assessment result is determined to meet the preset standard, triggering an early warning message. The early warning message includes the location information of the target medical waste, that is, the correlation values ​​are sorted in descending order, and the medical waste with the largest correlation value is identified as the target medical waste. At the same time, the predicted location area corresponding to the target medical waste and its corresponding location information are determined.

[0146] In some specific implementations, in response to the current interior environment data of the carriage falling within a threshold range, the compliance status assessment result is determined based on a second compliance status assessment mechanism, including:

[0147] The system determines the first location information of the medical waste entering the compartment of the transport vehicle and the third location information of the medical waste at the current time. The location information of the medical waste in the compartment can be determined by methods such as visual recognition positioning and wireless signal positioning.

[0148] A second positioning deviation value is determined between the first positioning information and the third positioning information. The calculation method of the second positioning deviation value is the same as that of the first positioning deviation value, and the specific process will not be described in detail here.

[0149] The second positioning deviation value and the hazard weight coefficient of the medical waste are fitted to obtain the fitting coefficient, wherein the fitting coefficient is calculated by the method of u=f1e+f2w. iWhere u is the fitting coefficient, f1 and f2 are both weighting coefficients, e is the second positioning deviation value, and w i This is the risk weighting coefficient;

[0150] In response to the fitting coefficient being greater than a third preset threshold, it is determined that the compliance status assessment result meets the preset standard, and an early warning message is triggered. The third preset threshold can be set according to actual needs, and the early warning message may also include the location information of medical waste, which can be set according to actual needs.

[0151] The aforementioned method for managing the compliance of medical waste transportation includes: acquiring first relevant information about the medical waste, including waste category, generating unit, generation time, hazard level, and estimated transportation volume; generating second relevant information based on the first relevant information and a preset compliance standard library, the second relevant information being used to describe transportation compliance benchmark parameters; determining a smart electronic tag with a unique identifier and an on-board intelligent terminal based on the second relevant information, binding the smart electronic tag to a medical waste transfer container carrying the medical waste, and equipping the transport vehicle transporting the medical waste transfer container with the on-board intelligent terminal, the smart electronic tag being equipped with a status sensor; and acquiring third relevant information based on the on-board intelligent terminal, the third relevant information being transmitted to… The system includes vehicle location, driving trajectory, interior environmental data, and associated binding information with the smart electronic tag. Based on the third relevant information and the transportation compliance benchmark parameters, a compliance status assessment result is determined. In response to the compliance status assessment result meeting preset standards, an early warning message is triggered and pushed to the management terminal. This application achieves a leap from static approval to dynamic intelligent supervision of medical waste transportation through the fusion of intelligent sensor networks and multi-source data. It transforms regulatory clauses into automatically verifiable digital parameters, conducts real-time and visualized compliance audits and risk warnings for the entire transportation process, and accurately locates the source of anomalies within the vehicle through spatial interpolation heat maps. This improves risk response speed and management accuracy, reduces manual workload, and thus constructs an efficient and compliant smart medical waste transportation supervision model.

[0152] It should be understood that, although Figure 2 The steps in the flowchart are shown sequentially as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order in which these steps are executed, and they can be performed in other orders. Figure 2At least some of the steps in the process may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least some of the sub-steps or stages of other steps.

[0153] In one embodiment, such as Figure 3 As shown, a medical waste transportation compliance management device is provided, comprising:

[0154] The data acquisition module is used to acquire the first relevant information about medical waste, which includes waste category, generating unit, generation time, hazard level and expected transportation volume;

[0155] The first processing module is used to generate second relevant information based on the first relevant information and the preset compliance standard library. The second relevant information is used to describe the transportation compliance benchmark parameters.

[0156] The second processing module is used to determine, based on the second relevant information, a smart electronic tag with a unique identification code and a vehicle-mounted smart terminal, bind the smart electronic tag to the medical waste transport container carrying the medical waste, and equip the transport vehicle transporting the medical waste transport container with the vehicle-mounted smart terminal. The smart electronic tag is equipped with a status sensor.

[0157] The third processing module is used to obtain third relevant information based on the vehicle-mounted intelligent terminal. The third relevant information includes at least vehicle location, driving trajectory, interior environmental data of the vehicle compartment, and association binding information with the intelligent electronic tag.

[0158] The early warning module is used to determine the compliance status assessment result based on the third relevant information and the transportation compliance benchmark parameters, and to trigger an early warning message in response to the compliance status assessment result meeting the preset standard, and to push the early warning message to the management terminal.

[0159] Specific limitations regarding the medical waste transportation compliance management device can be found in the limitations of the medical waste transportation compliance management method described above, and will not be repeated here. Each module in the aforementioned medical waste transportation compliance management device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0160] In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 4 As shown, the computer device includes a processor, memory, network interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The network interface is used to communicate with external terminals via a network connection. When the computer program is executed by the processor, it implements a method for compliant management of medical waste transportation. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad mounted on the computer device casing, or an external keyboard, touchpad, or mouse.

[0161] Those skilled in the art will understand that Figure 4 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0162] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to perform the following steps:

[0163] S1: Obtain first relevant information about medical waste, including waste category, generating unit, generation time, hazard level, and expected transport volume;

[0164] S2: Based on the first relevant information and the preset compliance standard library, generate the second relevant information, which is used to describe the transportation compliance benchmark parameters;

[0165] S3: Based on the second relevant information, determine the smart electronic tag with a unique identification code and the vehicle-mounted smart terminal, bind the smart electronic tag to the medical waste transfer container carrying the medical waste, and equip the transport vehicle transporting the medical waste transfer container with the vehicle-mounted smart terminal. The smart electronic tag is equipped with a status sensor.

[0166] S4: Based on the vehicle-mounted intelligent terminal, obtain third relevant information, which includes at least vehicle location, driving trajectory, interior environmental data of the vehicle compartment, and association binding information with the intelligent electronic tag;

[0167] S5: Based on the third relevant information and the transportation compliance benchmark parameters, determine the compliance status assessment result, and in response to the compliance status assessment result meeting the preset standard, trigger an early warning message and push the early warning message to the management terminal.

[0168] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor:

[0169] S1: Obtain first relevant information about medical waste, including waste category, generating unit, generation time, hazard level, and expected transport volume;

[0170] S2: Based on the first relevant information and the preset compliance standard library, generate the second relevant information, which is used to describe the transportation compliance benchmark parameters;

[0171] S3: Based on the second relevant information, determine the smart electronic tag with a unique identification code and the vehicle-mounted smart terminal, bind the smart electronic tag to the medical waste transfer container carrying the medical waste, and equip the transport vehicle transporting the medical waste transfer container with the vehicle-mounted smart terminal. The smart electronic tag is equipped with a status sensor.

[0172] S4: Based on the vehicle-mounted intelligent terminal, obtain third relevant information, which includes at least vehicle location, driving trajectory, interior environmental data of the vehicle compartment, and association binding information with the intelligent electronic tag;

[0173] S5: Based on the third relevant information and the transportation compliance benchmark parameters, determine the compliance status assessment result, and in response to the compliance status assessment result meeting the preset standard, trigger an early warning message and push the early warning message to the management terminal.

[0174] In one embodiment, a computer program product is provided, the computer program product comprising a computer program that, when executed by a processor, performs the following steps:

[0175] S1: Obtain first relevant information about medical waste, including waste category, generating unit, generation time, hazard level, and expected transport volume;

[0176] S2: Based on the first relevant information and the preset compliance standard library, generate the second relevant information, which is used to describe the transportation compliance benchmark parameters;

[0177] S3: Based on the second relevant information, determine the smart electronic tag with a unique identification code and the vehicle-mounted smart terminal, bind the smart electronic tag to the medical waste transfer container carrying the medical waste, and equip the transport vehicle transporting the medical waste transfer container with the vehicle-mounted smart terminal. The smart electronic tag is equipped with a status sensor.

[0178] S4: Based on the vehicle-mounted intelligent terminal, obtain third relevant information, which includes at least vehicle location, driving trajectory, interior environmental data of the vehicle compartment, and association binding information with the intelligent electronic tag;

[0179] S5: Based on the third relevant information and the transportation compliance benchmark parameters, determine the compliance status assessment result, and in response to the compliance status assessment result meeting the preset standard, trigger an early warning message and push the early warning message to the management terminal.

[0180] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0181] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0182] The embodiments described above are merely examples of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application.

Claims

1. A method for compliant management of medical waste transportation, characterized in that, The method includes: Obtain first relevant information about medical waste, including waste category, generating unit, generation time, hazard level, and estimated transport volume; Based on the first relevant information and the preset compliance standard library, a second relevant information is generated, which is used to describe the transportation compliance benchmark parameters; Based on the second relevant information, a smart electronic tag with a unique identification code and an in-vehicle smart terminal are identified, and the smart electronic tag is bound to the medical waste transport container carrying the medical waste, and the in-vehicle smart terminal is equipped on the transport vehicle transporting the medical waste transport container. The smart electronic tag is equipped with a status sensor. Based on the vehicle-mounted intelligent terminal, third relevant information is obtained, which includes at least vehicle location, driving trajectory, interior environmental data of the vehicle compartment, and association and binding information with the intelligent electronic tag; Based on the third relevant information and the transportation compliance benchmark parameters, the compliance status assessment result is determined. In response to the compliance status assessment result meeting the preset standard, an early warning information is triggered and pushed to the management terminal. Based on the aforementioned third relevant information and the aforementioned transportation compliance benchmark parameters, the compliance status assessment results are determined as follows: The vehicle location and driving trajectory of the transport vehicle are obtained in real time; Based on the vehicle location, the driving trajectory, and the transportation compliance benchmark parameters, the deviation of the transportation vehicle is determined. The method for calculating the deviation includes: y = w1k1 + w2k2 + w3k3, where y is the deviation, w1, w2, and w3 are all weighting coefficients, k1 represents the trajectory deviation coefficient, k2 represents the position deviation coefficient, and k3 represents the time deviation coefficient. In response to the deviation being greater than a first preset threshold, the compliance status assessment result is determined based on a first compliance status assessment mechanism; In response to the deviation being less than or equal to a first preset threshold, the compliance status assessment result is determined based on a second compliance status assessment mechanism; In response to the deviation exceeding a first preset threshold, the compliance status assessment result is determined based on a first compliance status assessment mechanism, including: The system acquires the door opening / closing status of the transport vehicle during transport, the internal environmental data of the vehicle compartment, and the location information of the medical waste. Based on the door opening / closing status, the interior environmental data of the vehicle compartment, and the location information of the medical waste, the first evaluation parameter is determined; In response to the first evaluation parameter being greater than the second preset threshold, it is determined that the compliance status evaluation result meets the preset standard, and an early warning information is triggered. In response to the deviation being less than or equal to a first preset threshold, the compliance status assessment result is determined based on a second compliance status assessment mechanism, including: In response to the deviation being less than or equal to a first preset threshold and the first evaluation parameter being less than or equal to a second preset threshold, current interior environment data of the carriage is acquired, and the current interior environment data of the carriage is compared with the threshold range of the interior environment data of the carriage. In response to the current interior environment data of the carriage not being within the threshold range of the interior environment data of the carriage, an environmental anomaly event is triggered, and the compliance status assessment result is determined based on the third compliance status assessment mechanism; In response to the current interior environment data of the carriage falling within the threshold range of the interior environment data of the carriage, the compliance status assessment result is determined based on the second compliance status assessment mechanism.

2. The method for managing the compliance of medical waste transportation according to claim 1, characterized in that, After obtaining the first relevant information about medical waste, the method further includes: Preprocessing the first relevant information includes: Based on the preset medical waste classification standards, the waste categories are mapped to standardized classification codes; Convert the estimated transport volume into a preset standard weight unit; Convert the generated time format to a standard time format and time zone; Based on the standardized classification code, the hazard level of the medical waste is determined, and the hazard level is quantified to generate a hazard weight coefficient. The generating unit is associated and matched with the pre-stored institutional geographic information archive to obtain the geographic location data of the generating unit; Logical consistency and integrity checks are performed on the preprocessed first relevant information. In response to the completion of the check, the first relevant information is encapsulated into a pre-shipment data packet and marked.

3. The method for managing the compliance of medical waste transportation according to claim 2, characterized in that, Based on the first relevant information and the preset compliance standard library, a second relevant information is generated. The second relevant information is used to describe the transportation compliance benchmark parameters, including: Based on the standardized classification codes and hazard weight coefficients in the pre-shipment order data package, the set of regulatory clauses and the set of operational standards are determined from the preset compliance standard library; Based on the generation time, the geographical location data of the generating unit, the preset disposal facility information and its working time, a first time and a second time are calculated and determined. The first time is used to describe the transportation arrival time, and the second time is used to describe the total transportation time. Based on the geographical location data of the generating unit, the location of the preset treatment facilities, the data of regional environmentally sensitive areas, and traffic control information, the permitted electronic fences, prohibited areas, and transit points are determined. Based on the set of regulations and operating standards, generate configuration parameters and threshold ranges for the interior environmental data of the transport vehicle. Based on the aforementioned set of regulations, the receiving unit is determined, and standardized electronic handover process parameters containing digital verification points are generated. Based on the aforementioned hazard weighting coefficients and transportation route characteristics, quantitative condition parameters for triggering different levels of emergency response plans are determined. Define all generated parameters as the second relevant information.

4. The method for managing the compliance of medical waste transportation according to claim 3, characterized in that, Based on the second relevant information, identifying a smart electronic tag with a unique identifier and an on-board smart terminal, binding the smart electronic tag to the medical waste transport container carrying the medical waste, and equipping the transport vehicle transporting the medical waste transport container with the on-board smart terminal include: Extract the waste category, generating unit, generation time and expected transport volume from the first relevant information, and the second time, hazard weight coefficient and threshold range of the interior environment data of the carriage from the second relevant information; Based on the waste category, the generating unit, the generating time, the expected transport volume, the second time, the hazard weight coefficient, and the threshold range of the internal environmental data of the vehicle compartment, the location information of the medical waste inside the transport vehicle and the target transport vehicle are determined. Based on the first relevant information and the second relevant information, the functional configuration parameters and unique identification code of the smart electronic tag are determined, and the functional configuration parameters include at least the positioning information; The configured smart electronic tag is bound to the medical waste transport container carrying the medical waste, and based on the binding result, the vehicle-mounted smart terminal is determined and installed on the target transport vehicle.

5. The method for managing the compliance of medical waste transportation according to claim 4, characterized in that, In response to the current interior environment data of the carriage not falling within the threshold range of the interior environment data of the carriage, triggering an environmental anomaly event, the compliance status assessment result is determined based on the third compliance status assessment mechanism, including: Acquire time-series data, which includes the third time when the medical waste enters the compartment of the transport vehicle, the fourth time when the abnormal environmental event is triggered, and the first location information of the medical waste entering the compartment of the transport vehicle and the second location information of the abnormal environmental event, as recorded by the smart electronic tag. Acquire the interior environmental data of the carriage at a time adjacent to the fourth time, and determine the spatial distribution view of the interior environmental data of the carriage through a spatial interpolation algorithm; Determine the time interval between the third time and the fourth time, and the first positioning deviation value between the first positioning information and the second positioning information; Based on the aforementioned hazard weighting coefficients, the target medical waste transfer container is determined; Based on the time interval, the first positioning deviation value, the spatial distribution view, and the hazard weight coefficient of the target medical waste transfer container, the correlation value for the target medical waste transfer container to trigger the environmental anomaly event is determined; Based on the correlation value, the target medical waste is identified, and the compliance status assessment result is determined to meet the preset standard, triggering an early warning message, which includes the location information of the target medical waste.

6. The method for managing the compliance of medical waste transportation according to claim 5, characterized in that, In response to the current interior environment data of the carriage falling within a threshold range, the compliance status assessment result is determined based on the second compliance status assessment mechanism, including: Determine the first location information of the medical waste entering the compartment of the transport vehicle and the third location information of the medical waste at the current time; Determine a second positioning deviation value between the first positioning information and the third positioning information; The fitting coefficients are obtained by fitting the second positioning deviation value and the hazard weight coefficient of the medical waste; If the fitting coefficient is greater than a third preset threshold, it is determined that the compliance status assessment result meets the preset standard, and an early warning message is triggered.

7. A medical waste transportation compliance management device for implementing the medical waste transportation compliance management method as described in any one of claims 1-6, characterized in that, The device includes: The data acquisition module is used to acquire the first relevant information about medical waste, which includes waste category, generating unit, generation time, hazard level and expected transportation volume; The first processing module is used to generate second relevant information based on the first relevant information and the preset compliance standard library. The second relevant information is used to describe the transportation compliance benchmark parameters. The second processing module is used to determine, based on the second relevant information, a smart electronic tag with a unique identification code and a vehicle-mounted smart terminal, bind the smart electronic tag to the medical waste transport container carrying the medical waste, and equip the transport vehicle transporting the medical waste transport container with the vehicle-mounted smart terminal. The smart electronic tag is equipped with a status sensor. The third processing module is used to obtain third relevant information based on the vehicle-mounted intelligent terminal. The third relevant information includes at least vehicle location, driving trajectory, interior environmental data of the vehicle compartment, and association binding information with the intelligent electronic tag. The early warning module is used to determine the compliance status assessment result based on the third relevant information and the transportation compliance benchmark parameters, and to trigger an early warning message in response to the compliance status assessment result meeting the preset standard, and to push the early warning message to the management terminal.

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