A medical waste management platform based on RFID technology

Abstract

The present invention specifically relates to a medical waste management platform based on RFID technology, comprising: an RFID tag application module; a tracking module; a monitoring module: collecting ground images of the temporary storage room and analyzing them to obtain a leakage coefficient, collecting air parameter information of the temporary storage room and analyzing it to obtain an air coefficient; combining and processing the leakage coefficient and the air coefficient to obtain a risk coefficient; a risk management module. In the present invention, the monitoring module obtains the leakage coefficient and the air coefficient through comprehensive analysis of the ground images and air parameters of the temporary storage room, and then calculates the risk coefficient, and issues an early warning in a timely manner according to the risk level, which enables the whole process of medical waste from the generation department to the temporary storage room to be under strict monitoring, and potential risks can be discovered and processed in the first time, greatly improving the safety and reliability of medical waste management.

Description

Technical Field

[0001] The present invention relates to the technical field of medical waste management, and particularly to a medical waste management platform based on RFID technology. Background Art

[0002] With the continuous development of the medical industry, the generation amount of medical waste is increasing day by day. Medical waste includes sharp objects, infectious waste, chemical waste, etc. If not properly managed, it will cause great harm to the environment and human health.

[0003] Traditional hospitals usually classify medical waste and centrally store it in a designated area, waiting for professional personnel to handle it. However, once there is loss or leakage during the transportation of the waste and the transporter does not notice, it will have an impact on the health and safety of hospital personnel;

[0004] Moreover, when medical waste is stored in the hospital's temporary storage room, if the packaging container of the medical waste is damaged, the pollutants therein may leak, seriously polluting the air environment of the temporary storage room, resulting in the accumulation of toxic gases, the breeding and spread of microorganisms.

[0005] If the management platform fails to issue a warning to the handler in time, and the handler enters to clean up the waste without any preparation, it is extremely easy to be exposed to harmful substances and face a high risk of contracting diseases or suffering other health hazards.

[0006] Therefore, a medical waste management platform based on RFID technology is needed to address the above-mentioned problems. Summary of the Invention

[0007] The purpose of the present invention is to provide a medical waste management platform based on RFID technology to solve the above problems.

[0008] To achieve the above purpose, the present invention adopts the following technical solutions:

[0009] A medical waste management platform based on RFID technology includes the following parts:

[0010] RFID Tag Application Module: After the waste is sealed and packaged, the information of the waste is entered into the RFID tag, and the RFID tag is pasted on the waste;

[0011] Tracking Module: Along the route from the fixed collection point of the waste to the hospital's temporary storage room, several detection points are set, and each detection point is equipped with an RFID reader and a weighing device; when the waste is transported to the door of the temporary storage room, the RFID reader reads the information and weighs it correctly, and then it is placed on the pressure sensor in the temporary storage room;

[0012] Monitoring module: Collect the ground images of the temporary storage area, analyze them to obtain the leakage coefficient, collect the air parameter information of the temporary storage area, and analyze it to obtain the air coefficient; Combine and process the leakage coefficient and the air coefficient to obtain the risk coefficient;

[0013] Risk management module: Match the risk level based on the risk coefficient and perform corresponding management according to the risk level.

[0014] Preferably, the tracking module further includes: When an abnormality occurs to the waste at the detection point after being processed by the RFID reader and the weighing device, trigger the waste transportation traceability analysis;

[0015] The waste transportation traceability analysis includes the following parts:

[0016] When an abnormality occurs to the waste at the detection point after being processed by the RFID reader and the weighing device, trigger the transportation traceability analysis:

[0017] Obtain the transportation route of the waste, mark the route between the previous detection point and the current detection point and record it as the marked route;

[0018] Retrieve the videos captured by each monitor on the marked route, and splice the videos to obtain the complete waste transportation video on the marked route;

[0019] Send the complete video to the smart terminal of the management personnel. After the management personnel view the complete video, draw conclusions, and the conclusions include the following:

[0020] During transportation, the waste was lost and not discovered;

[0021] Waste that does not belong to this transportation was accidentally mixed into this transportation process;

[0022] During transportation, the packaging of the waste was damaged, resulting in leakage of the waste;

[0023] Perform corresponding processing according to the drawn conclusions.

[0024] Preferably, collecting the ground images of the temporary storage area and analyzing them to obtain the leakage coefficient specifically includes analyzing the liquid leakage in the temporary storage area to obtain the liquid coefficient; Analyzing the solid leakage to obtain the solid coefficient, and comprehensively processing the liquid coefficient and the solid coefficient to obtain the leakage coefficient. Among them, the analysis of liquid leakage includes the following parts:

[0025] Obtain the video data in the temporary storage area at a preset time interval, and select a preset number of image information from the video at a preset frame interval;

[0026] After preprocessing the image with image editing software, use image analysis software to obtain the trace color values of the floor in the staging area; judge the type of liquid corresponding to the liquid leaked on the floor through the color difference formula;

[0027] Use image analysis software to obtain the contour of the liquid trace on the floor. Based on the boundary tracing algorithm of pixel points, calculate the area of the contour by traversing and counting the pixel points on the contour one by one, and obtain the actual contour area through proportional conversion according to the scale information of the image;

[0028] Obtain the contour areas of the leaked liquid obtained in adjacent images in the time series; and after calculating the difference between the contour areas of the leaked liquid in adjacent images, take the absolute value to obtain the adjacent area difference;

[0029] Preset the weight factors of the contour area and the adjacent area difference, multiply the contour area and the adjacent area difference by their corresponding weight factors respectively and then sum them to obtain the contour area difference coefficient;

[0030] Obtain the number of contours of all leaked liquids on the floor of the staging area, as well as the types of leaked liquids corresponding to each contour, and assign corresponding weights according to the types of leaked liquids; comprehensively process the contour area difference coefficients of all contours to obtain the liquid system coefficient.

[0031] Preferably, analyze the solid leakage to obtain the solid system coefficient. Analyzing the solid leakage includes the following parts:

[0032] Sensors at various locations in the staging area emit ultrasonic signals. When the signals encounter the top and the surrounding of the solid, they will be reflected, and the sensors receive the reflected signals from the top and the surrounding; according to the time difference between the reflected signals from the top and the surrounding of the solid received by the sensors, and the propagation speed of ultrasonic waves in the air, multiply each time difference by the propagation speed to obtain the shape of the solid;

[0033] Lay out a preset number of endpoints on the surface of the solid, and connect each endpoint to other endpoints in a straight line in turn. Take the largest straight line as the diameter of the sphere, construct the sphere, and calculate the volume of the sphere. Take the volume of the sphere as the volume of the solid leakage;

[0034] Evenly divide the staging area into several sub-regions with a preset regional size, and assign corresponding weight factors to each sub-region;

[0035] Obtain the volumes of the spheres corresponding to all solid leakages in the staging area, as well as the sub-regions corresponding to each solid leakage; multiply the volume of each sphere by the weight factor of its corresponding sub-region and then sum them to obtain the solid system coefficient.

[0036] Preferably, obtaining the leakage coefficient after comprehensively processing the liquid coefficient and the solid coefficient specifically includes:

[0037] After normalizing the liquid coefficient and the solid coefficient, use the liquid coefficient as the radius to construct a circle, and use the solid coefficient as the height to construct a cone model, and take the volume of this cone model as the leakage coefficient.

[0038] Preferably, collecting the air parameter information of the collection and temporary storage room and analyzing it to obtain the air coefficient specifically includes the following parts:

[0039] According to the positions of the sensors in the temporary storage room, divide the space in the temporary storage room into a preset number of sub-spaces;

[0040] Obtain the air parameter information detected by the sensors in the temporary storage room at a preset time interval;

[0041] Preset the air parameter standard value of the temporary storage room, calculate the difference between the air parameter value obtained at each time interval and its corresponding parameter standard value to obtain the standard difference value, and calculate the average value of each standard difference value to obtain the standard average difference value;

[0042] Arrange the obtained standard difference values in sequence from left to right according to the time series, calculate the difference between adjacent two standard difference values, and take the absolute value to obtain the adjacent standard difference value; preset the allowable range of the adjacent standard difference value, and record the adjacent standard difference value that is not within the allowable range of the adjacent standard difference value as the abnormal adjacent value; and calculate the sum of all the abnormal adjacent values to obtain the total abnormal adjacent difference value;

[0043] Extract the maximum standard difference value and the minimum standard difference value from each standard difference value, and calculate the difference between the maximum standard difference value and the minimum standard difference value to obtain the standard deviation extreme value;

[0044] After normalizing the standard average difference value, the total abnormal adjacent difference value, and the standard deviation extreme value, use the standard average difference value and the total abnormal adjacent difference value as the two right-angled sides of a right-angled triangle respectively, and connect the remaining sides of the triangle to form a complete right-angled triangle, and use the standard deviation extreme value as the height to establish a triangular pyramid model, calculate the volume of this triangular pyramid model, and take the volume of the triangular pyramid model as the air sub-coefficient of the area corresponding to this sensor;

[0045] Obtain the air sub-coefficients of each sub-space corresponding to various sensors according to the above process; and calculate the average value of the air sub-coefficients corresponding to each type of sensor to obtain the total air sub-coefficient value corresponding to each type of sensor;

[0046] And corresponding weight factors are assigned according to the air parameters detected by various sensors. After multiplying the total value of the air sub - coefficients corresponding to each type of sensor by its corresponding weight factor and summing them up, the air coefficient is obtained.

[0047] Preferably, the process of combining the leakage coefficient and the air coefficient to obtain the risk coefficient specifically includes the following parts:

[0048] After presetting the weight factors of the leakage coefficient and the air coefficient, the leakage coefficient and the air coefficient are respectively multiplied by their corresponding weight factors and then summed up to obtain the risk coefficient.

[0049] Preferably, the process of matching the risk level based on the risk coefficient specifically includes the following parts:

[0050] The value ranges of three groups of thresholds are preset, and each value range of the thresholds corresponds to a risk level. The risk coefficient is matched with the value range of the thresholds to obtain the risk level corresponding to the risk coefficient, where the risk levels include normal, abnormal, and emergency.

[0051] Preferably, the corresponding management based on the risk level specifically includes:

[0052] When the obtained risk level is normal: Continuously collect and analyze the pressure sensors in the storage room, as well as the ground images and air parameter information in the storage room at a preset time interval, and send the obtained liquid coefficient, solid coefficient, air coefficient, and risk coefficient to the intelligent terminals of the corresponding management personnel;

[0053] When the obtained risk level is abnormal: Obtain the liquid coefficient, solid coefficient, air coefficient, and risk coefficient, mark the abnormal values among them, and send the image information in the storage room to the intelligent terminals of the corresponding management personnel together, and set the processing time for the management personnel in the storage room;

[0054] When the obtained risk level is emergency: On the basis of the abnormal risk level, immediately evacuate the personnel within the preset area near the storage room, set up an isolation area to prevent unauthorized personnel from entering; and screen the processing personnel to obtain the preferred personnel, and dispatch the preferred personnel to the storage room for processing.

[0055] Preferably, the process of screening the processing personnel to obtain the preferred personnel specifically includes the following parts:

[0056] Taking the location of the storage room as the center and a preset size as the radius, draw a circle on the map, obtain all the processing personnel within this circular range, and screen out the processing personnel within the normal working hours;

[0057] Obtain the working years of each screened processing personnel, preset the minimum required working years, compare the working years of each processing personnel with the minimum required working years, and remove the processing personnel with working years lower than the minimum required working years, so as to obtain the remaining processing personnel, analyze the remaining processing personnel to obtain the processing values of each processing personnel, and take the processing personnel corresponding to the maximum processing value as the preferred personnel.

[0058] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are as follows:

[0059] 1. Through the comprehensive analysis of the ground image and air parameters of the temporary storage room by the monitoring module of the present invention, the leakage coefficient and air coefficient are obtained, and then the risk coefficient is calculated, and an early warning is issued in a timely manner according to the risk level. This enables the whole process of medical waste from the generation department to the temporary storage room to be under strict monitoring, and potential risks can be discovered and handled in the first time, greatly improving the safety and reliability of medical waste management.

[0060] 2. By means of the RFID tag application module of the present invention, detailed information is given to each piece of medical waste, and in cooperation with the tracking module, detection points are set at key nodes of the transportation route to check the waste information and weight in real time. Once an abnormality occurs, the transportation traceability analysis is immediately triggered to accurately locate the problem link. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] In the following description of exemplary embodiments in conjunction with the drawings, more details, features and advantages of the present application are disclosed. In the drawings:

[0062] Figure 1 is a flowchart of the present invention; DETAILED DESCRIPTION OF THE EMBODIMENTS

[0063] The following will describe several embodiments of the present application in more detail with reference to the drawings so that those skilled in the art can implement the present application. The present application can be embodied in many different forms and purposes and should not be limited to the embodiments described herein. These embodiments are provided to make the present application comprehensive and complete, and to fully convey the scope of the present application to those skilled in the art. The embodiments do not limit the present application.

[0064] Unless otherwise defined, all terms (including technical terms and scientific terms) used herein have the same meaning as commonly understood by those of ordinary skill in the art to which the present application belongs. It will be further understood that terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the relevant field and / or the context of the present specification, and will not be interpreted in an idealized or overly formal sense unless clearly defined herein.

[0065] Please refer to Figure 1As shown in the figure, the present invention provides a technical solution:

[0066] A medical waste management platform based on RFID technology, including the following parts:

[0067] RFID tag application module: After the waste is sealed and packaged, the information of the waste is entered into the RFID tag, and the RFID tag is pasted on the waste;

[0068] Among them, the transporter's handheld terminal enters the information into the RFID tag and pastes the RFID tag on the waste;

[0069] The information of the waste specifically includes: the generating department, the generating time, the type of waste (infectious waste, pathological waste, sharp waste, pharmaceutical waste, chemical waste, etc.), and the actual weighed weight;

[0070] Tracking module: On the route from the fixed waste collection point to the hospital temporary storage room, several detection points are set, and RFID readers and weighers are installed at each detection point; When the waste is transported to the door of the temporary storage room, the RFID reader reads the information and weighs it correctly, and then places it on the pressure sensor in the temporary storage room;

[0071] When an abnormality occurs to the waste during processing by the RFID reader and the weigher at the detection point, trigger the transportation traceability analysis of the waste; If the pressure sensor in the temporary storage room detects that the pressure change exceeds the preset fluctuation range, trigger the monitoring of the ground and air in the temporary storage room;

[0072] The process of waste transportation traceability analysis is as follows:

[0073] Obtain the transportation route of the waste, mark the route between the previous detection point and the current detection point and record it as the marked route;

[0074] Retrieve the videos captured by each monitor on the marked route, and splice each video to obtain the complete waste transportation video on the marked route;

[0075] Send the complete video to the intelligent terminal of the management personnel. After the management personnel view the complete video, draw conclusions, and the conclusions include the following:

[0076] During transportation, the waste was lost without being discovered;

[0077] Waste that does not belong to this transportation was accidentally mixed into this transportation process;

[0078] During transportation, the packaging of the waste was damaged, resulting in leakage of the waste;

[0079] Carry out corresponding processing according to the conclusions drawn, specifically including the following processing methods:

[0080] During transportation, if waste is lost without being noticed, first have a serious communication with the transportation personnel to understand the specific situation during transportation;

[0081] If the loss of waste is caused by the transportation personnel seriously violating the operation procedures or dereliction of duty, such as leaving the post without permission during transportation or failing to properly guard the waste, severe disciplinary actions should be taken, such as warnings, fines, performance deductions, etc. In serious cases, suspension or dismissal may be considered;

[0082] Regardless of the degree of responsibility, the transportation personnel should be given intensive training, including enhancing the awareness of the importance of waste management, improving the sense of responsibility and vigilance during transportation, and learning skills on how to ensure the safe transportation of waste in various situations; retrieve the lost waste and transport it to its corresponding location again. If it cannot be retrieved, mark it in the RFID reader;

[0083] If waste that does not belong to this transportation is accidentally mixed into this transportation process, communicate with the transportation personnel to find out if there are any misoperations during collection or transportation, such as accidentally collecting other waste as the waste for this transportation at the collection point, or if other unrelated personnel mix waste during transportation, and transfer the waste that does not belong to this transportation to its proper location;

[0084] If the mixing is caused by the work mistakes of the transportation personnel, such as not carefully checking the waste information or being careless during collection, corresponding criticism and warnings should be given, and they are required to properly handle the mixed waste and bear the additional costs generated by handling the mixed waste, such as the costs of reclassification, transportation, etc.;

[0085] If it is caused by external factors, such as malicious mixing by other personnel or unclear signs at the collection point, and the transportation personnel took reasonable measures in a timely manner after discovering the problem, the main responsibility does not lie with the transportation personnel, but they still need to cooperate with the relevant departments in the investigation. At the same time, strengthen the supervision and inspection of the transportation process to prevent similar situations from happening again;

[0086] Provide more detailed training on waste classification and identification for the transportation personnel to improve their ability to distinguish different types of waste. At the same time, improve the verification link in the transportation process, and require the transportation personnel to repeatedly check the waste information during collection and transportation to ensure accuracy;

[0087] During transportation, if the waste packaging is damaged and the waste leaks, immediately notify the transportation personnel to rush to the waste leakage site, clean and disinfect the leaked material, merge the leaked material with the corresponding waste, replace the packaging with a new one, re-enter the waste information after packaging into the RFID tag, transport it back to the temporary storage area according to the transportation process, and update the information about the waste in the RFID reader at key points;

[0088] If the packaging is damaged and leaks due to rough handling or improper loading and unloading by the transportation personnel during the handling process, corresponding penalties should be imposed according to the severity of the leakage and the resulting impact, such as fines, deduction of performance bonuses, ordering them to bear part or all of the cleaning and treatment costs, etc. At the same time, a written warning should be given and recorded in the personal work file;

[0089] If the packaging is damaged due to the quality problem of the packaging itself or unforeseen bumps and collisions during transportation, and the transportation personnel have handled the problem correctly in a timely manner after discovery, the penalty for them can be mitigated, but they still need to be reminded to pay more attention to observing and protecting the waste packaging during future transportation;

[0090] Organize transportation personnel to participate in specialized safety training, focusing on learning the characteristics and protection methods of medical waste packaging, as well as knowledge and skills on how to avoid packaging damage caused by improper operation or other reasons during transportation. At the same time, strengthen their awareness of the hazards of waste leakage, and improve their safety awareness and emergency handling capabilities;

[0091] When the waste shows abnormalities during processing by the RFID reader and the weighing scale at the detection point, the specific abnormal judgments include:

[0092] When the waste is processed by the RFID reader and the weighing scale at the detection point, if any of the following situations occur, it is regarded as abnormal and triggers transportation traceability analysis;

[0093] The RFID reader fails to detect the waste tag or detects an unknown tag;

[0094] The weight fluctuation range shown during waste weighing exceeds the preset threshold;

[0095] Monitoring module: Collect the ground images of the temporary storage area, analyze them to obtain the leakage coefficient, collect the air parameter information of the temporary storage area, and analyze it to obtain the air coefficient; Combine and process the leakage coefficient and the air coefficient to obtain the risk coefficient;

[0096] Among them, the air parameter information of the temporary storage area includes: microbial concentration, harmful gas concentration, particulate matter concentration;

[0097] Collect the ground images of the temporary storage room and analyze them to obtain the leakage coefficient, specifically including analyzing the liquid leakage in the temporary storage room to obtain the liquid coefficient; analyzing the solid leakage to obtain the solid coefficient, and comprehensively processing the liquid coefficient and the solid coefficient to obtain the leakage coefficient. The analysis of liquid leakage includes the following parts:

[0098] Obtain the video data in the temporary storage room at a preset time interval, and select a preset number of image information from the video at a preset frame interval;

[0099] After preprocessing the image through image editing software, use image analysis software to obtain the trace color value of the ground in the temporary storage room; judge the type corresponding to the liquid leaking on the ground through the color difference formula;

[0100] Obtain the contour of the liquid trace on the ground through image analysis software. Based on the boundary tracking algorithm of pixel points, calculate the area of the contour by traversing and counting the pixel points on the contour one by one, and obtain the actual contour area through proportional conversion according to the scale information of the image;

[0101] Obtain the contour areas of the leaked liquid obtained in adjacent images in the time series; and calculate the difference between the contour areas of the leaked liquid in adjacent images, and take the absolute value to obtain the adjacent area difference;

[0102] Preset the weight factors of the contour area and the adjacent area difference, and multiply the contour area and the adjacent area difference by their corresponding weight factors respectively and then sum them to obtain the contour area difference coefficient;

[0103] Obtain the number of contours of all the leaked liquid on the ground of the temporary storage room, and the types of leaked liquid corresponding to each contour, and assign corresponding weights according to the types of leaked liquid; comprehensively process the contour area difference coefficients of all the contours to obtain the liquid coefficient;

[0104] Comprehensively process the contour area difference coefficients of all the contours to obtain the liquid coefficient, specifically including the following parts:

[0105] Mark the contour area difference coefficient of each contour as UTi and substitute it into the formula: Obtain the liquid coefficient EL, where i is the number of the contour, i = 1, 2,..., m;

[0106] UTi represents the contour area difference coefficient of the contour corresponding to the number i; δi represents the weight factor of the contour corresponding to the number i;

[0107] Analyze the solid leakage to obtain the solid coefficient. The analysis of solid leakage includes the following parts:

[0108] Sensors everywhere in the temporary storage room emit ultrasonic signals. When the signals encounter the top and the surrounding of the solid, they will be reflected, and the sensors receive the reflected signals from the top and the surrounding. Based on the time difference between the reflected signals received by the sensors from the top and the surrounding of the solid, and the propagation speed of ultrasonic waves in the air, after multiplying each time difference by the propagation speed, the shape of the solid is obtained.

[0109] Arrange a preset number of endpoints on the surface of the solid, and successively connect each endpoint to other endpoints with straight lines. Take the straight line with the largest size as the diameter of the sphere, construct the sphere, and calculate the volume of the sphere. Take the volume of the sphere as the volume of the leakage of the solid.

[0110] Divide the temporary storage room evenly into several sub - regions with a preset regional size, and assign a corresponding weight factor to each sub - region.

[0111] Obtain the volume of the sphere corresponding to all the solid leakages in the temporary storage room, and the sub - region corresponding to each solid leakage. After multiplying the volume of each sphere by the weight factor of its corresponding sub - region and then summing them up, the solid coefficient is obtained.

[0112] After comprehensively processing the liquid coefficient and the solid coefficient, the leakage coefficient is obtained, which specifically includes:

[0113] After normalizing the liquid coefficient and the solid coefficient, take the liquid coefficient as the radius to construct a circle, and take the solid coefficient as the height to construct a cone model. Take the volume of the cone model as the leakage coefficient.

[0114] Collect the air parameter information of the temporary storage room and analyze it to obtain the air coefficient, which specifically includes the following parts:

[0115] According to the positions of the sensors in the temporary storage room, divide the space in the temporary storage room into a preset number of sub - spaces.

[0116] Obtain the air parameter information detected by the sensors in the temporary storage room at a preset time interval.

[0117] Preset the standard value of the air parameters in the temporary storage room. Calculate the difference between the air parameter values obtained at each time interval and their corresponding parameter standard values to obtain the standard differences, and calculate the average value of each standard difference to obtain the standard mean difference.

[0118] Arrange the obtained standard differences in order from left to right according to the time series, and calculate the difference between adjacent two standard differences. Take the absolute value to obtain the adjacent standard differences. Preset the allowable range of the adjacent standard differences, and record the adjacent standard differences that are not within the allowable range of the adjacent standard differences as abnormal adjacent values. And sum up all the abnormal adjacent values to obtain the total abnormal adjacent difference value.

[0119] Extract the maximum standard deviation value and the minimum standard deviation value from each standard deviation value, and perform a difference calculation between the maximum standard deviation value and the minimum standard deviation value to obtain the extreme value of the standard deviation;

[0120] After normalizing the standard mean value, the total value of abnormal adjacent differences, and the extreme value of the standard deviation, use the standard mean value and the total value of abnormal adjacent differences as the two right-angled sides of a right-angled triangle respectively, and connect the remaining sides of the triangle to form a complete right-angled triangle. Use the extreme value of the standard deviation as the height to establish a triangular pyramid model, calculate the volume of the triangular pyramid model, and use the volume of the triangular pyramid model as the air sub-coefficient of the area corresponding to the sensor;

[0121] Obtain the air sub-coefficients of each subspace corresponding to various sensors according to the above process; and calculate the mean value of the air sub-coefficients corresponding to each type of sensor to obtain the total value of the air sub-coefficients corresponding to each type of sensor;

[0122] And assign corresponding weight factors according to the air parameters detected by various sensors. After performing a multiplication calculation between the total value of the air sub-coefficients corresponding to each type of sensor and its corresponding weight factor, sum them to obtain the air coefficient.

[0123] Combine the leakage coefficient and the air coefficient to obtain the risk coefficient, which specifically includes the following parts:

[0124] After presetting the weight factors of the leakage coefficient and the air coefficient, perform a multiplication calculation between the leakage coefficient and the air coefficient and their corresponding weight factors respectively, and then sum them to obtain the risk coefficient;

[0125] Risk management module: Match the risk level based on the risk coefficient and perform corresponding management according to the risk level;

[0126] Match the risk level based on the risk coefficient, which specifically includes the following parts:

[0127] Preset the value ranges of three groups of thresholds. Each value range of the thresholds corresponds to a risk level. Match the risk coefficient with the value range of the thresholds to obtain the risk level corresponding to the risk coefficient, where the risk levels include normal, abnormal, and emergency;

[0128] Perform corresponding management according to the risk level, which specifically includes:

[0129] When the obtained risk level is normal: Continuously collect and analyze the pressure sensors in the temporary storage area, as well as the ground images and air parameter information in the temporary storage area at a preset time interval, and send the obtained liquid coefficient, solid coefficient, air coefficient, and risk coefficient to the intelligent terminals of the corresponding management personnel;

[0130] When the obtained risk level is abnormal: Obtain the liquid coefficient, solid coefficient, air coefficient, and risk coefficient, mark the abnormal values among them, and send the image information in the temporary storage area to the intelligent terminals of the corresponding management personnel together, and set the processing time of the management personnel for the temporary storage area; for the ground leakage situation, if there is liquid leakage, evaluate the diffusion range of the leaked liquid, and promptly carry out cleaning and disinfection work to prevent the liquid from spreading further and polluting a larger area; if there is solid waste leakage, re-collect, classify, and package the leaked solid waste, and check whether there is any residue in the surrounding environment; for abnormal air quality, strengthen the ventilation and air exchange in the temporary storage area, accelerate the air circulation by turning on the ventilation equipment, and reduce the concentration of harmful gases, microorganisms, and particulate matter; at the same time, conduct a retrospective review of the transportation process to check whether there is any waste leakage or other abnormal situations caused by problems in the transportation link. If problems are found, promptly rectify the transportation process.

[0131] When the obtained risk level is critical: On the basis of the risk level being abnormal, immediately evacuate the personnel within the preset area near the temporary storage area, set up an isolation area to prevent unauthorized personnel from entering; screen the handling personnel to obtain the preferred personnel, and dispatch the preferred personnel to the temporary storage area for handling.

[0132] Screen the handling personnel to obtain the preferred personnel, which specifically includes the following parts:

[0133] Taking the location of the temporary storage area as the center and a preset size as the radius, draw a circle on the map, obtain all the handling personnel within this circular range, and screen out the handling personnel within the normal working hours.

[0134] Obtain the working years of each screened handling personnel, preset the minimum required working years, compare the working years of each handling personnel with the minimum required working years, and remove the handling personnel with working years less than the minimum required working years, so as to obtain the remaining handling personnel. Analyze the remaining handling personnel to obtain the handling values of each handling personnel, and take the handling personnel corresponding to the maximum handling value as the preferred personnel:

[0135] The process of obtaining the handling value includes:

[0136] Obtain the cleaning times of the handling personnel within the preset time area before the current time point, and the cleaning times of each time; preset the allowable range of the cleaning time, compare the cleaning times of each cleaning of the handling personnel with the allowable range of the cleaning time in turn, and record the cleaning times within the allowable range of the cleaning time as efficient times; count the efficient times of each handling personnel in turn, and divide each efficient time by the cleaning times of each handling personnel to obtain the completion ratio of each handling personnel.

[0137] In each cleaning operation, the time elapsed from when the smart terminal of the handler receives the information until the handler arrives at the scene of the temporary storage room to be cleaned is recorded as the reaction time; a reaction time threshold is preset, and the reaction time shorter than the reaction time threshold is recorded as the effective reaction time; the effective reaction times of each handler are obtained, and the effective reaction time of each handler is divided by the corresponding number of cleaning operations to obtain the reaction ratio of each handler.

[0138] Weight factors for the completion ratio and the reaction ratio are preset, and the completion ratio and the reaction ratio of each handler are multiplied by the corresponding weight factors and then summed to obtain the processing value of each handler.

[0139] The above formulas are all obtained through software simulation by collecting a large amount of data, and a formula close to the true value is selected. The influence weight factors and specific coefficient values in the formula are set by those skilled in the art according to the actual situation and can be adjusted and modified later.

[0140] The above description of the embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to these embodiments shown herein, but will be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A medical waste management platform based on RFID technology, characterized in that: Includes the following parts: RFID tag application module: After the waste is sealed and packaged, the waste information is entered into the RFID tag, and the RFID tag is affixed to the waste; Tracking module: Several detection points are set up on the route from the fixed waste collection point to the temporary storage room of the hospital. RFID readers and weighing devices are installed at each detection point. When the waste is transported to the door of the temporary storage room, the RFID reader reads the information and weighs it correctly before placing it on the pressure sensor in the temporary storage room. Monitoring module: collects ground images of the temporary storage room and analyzes them to obtain the leakage coefficient, collects air parameter information of the temporary storage room and analyzes them to obtain the air coefficient; combines the leakage coefficient with the air coefficient to obtain the risk coefficient; Collect ground images of the temporary storage room and analyze them to obtain leakage coefficients, including analyzing liquid leakage in the temporary storage room to obtain liquid coefficients; analyzing solid leakage to obtain solid coefficients, and comprehensively processing the liquid coefficient and solid coefficient to obtain leakage coefficients. The analysis of liquid leakage includes the following parts: Acquire video data in the temporary storage room at a preset time interval, and select a preset number of image information from the video at a preset frame interval; After preprocessing the image with image editing software, use image analysis software to obtain the color value of the trace on the floor of the temporary storage room; Determine the type of liquid leaking on the ground through the color difference formula; The contour of the liquid trace on the ground is obtained through image analysis software. Based on the boundary tracking algorithm of pixel points, the area of ​​the contour is calculated by traversing and counting the pixels on the contour one by one. According to the scale information of the image, the actual contour area is obtained through proportional conversion. Obtaining the contour areas of the leaked liquid obtained in the adjacent images in the time series; performing difference calculation on the contour areas of the leaked liquid in the adjacent images, and taking the absolute values ​​to obtain the adjacent area differences; Preset weight factors of contour area and adjacent area difference, calculate the product of contour area and adjacent area difference with their corresponding weight factors respectively, and then sum them up to obtain contour surface difference coefficient; Obtain the number of all leaked liquid contours on the floor of the temporary storage room, as well as the type of leaked liquid corresponding to each contour, and assign corresponding weights according to the type of leaked liquid; comprehensively process the contour surface difference coefficients of all contours to obtain the liquid coefficient; Analyze the solid leakage and get the solid coefficient. Analyze the solid leakage, including the following parts: The sensors in various places in the temporary storage room emit ultrasonic signals. When the signals encounter the top and surroundings of the solid, they are reflected. The sensors receive the reflected signals from the top and surroundings. Based on the time difference between the sensors receiving the reflected signals from the top and surroundings of the solid and the propagation speed of ultrasonic waves in the air, the shape of the solid is obtained by multiplying the time difference with the propagation speed. Arrange a preset number of endpoints on the surface of the solid, and sequentially connect each endpoint with other endpoints by straight lines, use the straight line with the largest size as the diameter of the sphere, construct a sphere, and calculate the volume of the sphere, and use the volume of the sphere as the volume of the solid leakage; The temporary storage room is evenly divided into several sub-areas according to the preset area size, and a corresponding weight factor is assigned to each sub-area; Obtain the spherical volumes corresponding to all solid leaks in the temporary storage room and the sub-areas corresponding to each solid leak; multiply the volumes of each sphere by the weight factors of its corresponding sub-areas and sum them up to obtain the solid coefficient; The leakage coefficient is obtained by comprehensive processing of the liquid coefficient and the solid coefficient, including: After normalizing the liquid coefficient and the solid coefficient, a circle is constructed using the liquid coefficient as the radius and the solid coefficient as the height, thereby constructing a cone model, and the volume of the cone model is used as the leakage coefficient; Collect the air parameter information of the temporary storage room and analyze it to obtain the air coefficient, which includes the following parts: Divide the space in the temporary storage room into a preset number of subspaces according to the positions of the sensors in the temporary storage room; Acquiring air parameter information detected by the temporary storage room sensor at a preset time interval; Preset the standard value of the air parameter in the temporary storage room, calculate the difference between the air parameter value obtained at each time interval and the corresponding parameter standard value to obtain the standard deviation value, and calculate the mean of each standard deviation value to obtain the standard mean deviation value; Arrange the obtained standard deviation values ​​from left to right according to the time series, calculate the difference between two adjacent standard deviation values, take the absolute value to obtain the adjacent standard deviation value; preset the allowable range of adjacent standard deviation values, record the adjacent standard deviation values ​​that are not within the allowable range of adjacent standard deviation values ​​as abnormal adjacent values; and sum up all abnormal adjacent values ​​to obtain the total value of abnormal adjacent differences; Extract the maximum standard deviation and the minimum standard deviation from each standard deviation value, and calculate the difference between the maximum standard deviation and the minimum standard deviation value to obtain the standard deviation extreme value; After normalizing the standard mean difference, the total value of abnormal neighbor difference, and the extreme value of standard deviation, the standard mean difference and the total value of abnormal neighbor difference are used as the two right-angled sides of the right triangle respectively, and the remaining triangle sides are connected to form a complete right triangle, and the extreme value of standard deviation is used as the height to establish a triangular pyramid model, calculate the volume of the triangular pyramid model, and use the volume of the triangular pyramid model as the air sub-coefficient of the area corresponding to the sensor; The air sub-coefficients of each subspace corresponding to each type of sensor are obtained in turn; and the air sub-coefficients corresponding to each type of sensor are averaged to obtain the total value of the air sub-coefficients corresponding to each type of sensor; And according to the air parameters detected by various sensors, the corresponding weight factors are assigned, and the total value of the air sub-coefficient corresponding to each sensor and its corresponding weight factor are multiplied and calculated, and the sum is obtained to obtain the air coefficient; The risk factor is obtained by combining the leakage coefficient with the air coefficient, which includes the following parts: After the weight factors of the leakage coefficient and the air coefficient are preset, the leakage coefficient and the air coefficient are respectively multiplied by their corresponding weight factors and then summed to obtain the risk coefficient; Risk management module: Match risk levels based on risk factors and perform corresponding management according to risk levels.

2. According to claim 1, a medical waste management platform based on RFID technology is characterized in that: The tracking module also includes: when the waste is abnormally processed by the RFID reader and the weighing device at the detection point, it triggers the transportation traceability analysis of the waste; The waste transportation traceability analysis includes the following parts: Obtain the transportation route of the waste, mark the route between the last detection point and the current detection point and record it as a marked route; Retrieve the videos captured by each surveillance camera on the marked route, and stitch the videos together to obtain a complete waste transportation video on the marked route; The complete video is sent to the manager's smart terminal, and the manager reviews the complete video and draws conclusions, including the following: During transportation, waste is lost without being discovered; Waste that does not belong to the transport is accidentally mixed into the transport process; The waste packaging is damaged during transportation, resulting in waste leakage; Take appropriate action based on the conclusions drawn.

3. The medical waste management platform based on RFID technology according to claim 1 is characterized in that: The risk level matching based on the risk factor specifically includes the following parts: Three groups of threshold value ranges are preset, each threshold value range corresponds to a risk level, and the risk coefficient is matched with the threshold value range to obtain the risk level corresponding to the risk coefficient, where the risk level includes normal, abnormal, and emergency.

4. The medical waste management platform based on RFID technology according to claim 3 is characterized in that: The management is carried out according to the risk level, including: When the risk level is normal: the pressure sensor of the temporary storage room, the ground image of the temporary storage room, the air parameter information, etc. are continuously collected and analyzed at preset time intervals, and the liquid coefficient, solid coefficient, air coefficient and risk coefficient are sent to the smart terminal of the corresponding management personnel; When the risk level is abnormal: obtain the liquid coefficient, solid coefficient, air coefficient and risk coefficient, mark the abnormal values, send the image information in the temporary storage room to the smart terminal of the corresponding manager, and set the processing time for the manager to the temporary storage room; When the risk level is emergency: On the basis of the abnormal risk level, immediately evacuate the personnel in the preset area near the temporary storage room, set up an isolation area to prevent irrelevant personnel from entering; and select the preferred personnel after screening, and send the preferred personnel to the temporary storage room for processing.

5. The medical waste management platform based on RFID technology according to claim 4 is characterized in that: The screening of the processing personnel to obtain the preferred personnel specifically includes the following parts: Draw a circle on the map with the location of the temporary storage room as the center and the preset size as the radius, obtain all processing personnel within the circle, and filter out processing personnel within the normal working hours; Obtain the length of service of each screened processing personnel, and preset the minimum required length of service, compare the length of service of each processing personnel with the minimum required length of service, and remove the processing personnel whose length of service is lower than the minimum required length of service to obtain the remaining processing personnel, and analyze the remaining processing personnel to obtain the processing value of each processing personnel, and select the processing personnel corresponding to the maximum processing value as the preferred personnel.

Images