Medical waste management platform based on RFID technology

Abstract

The invention particularly relates to a medical waste management platform based on an RFID technology. The medical waste management platform comprises an RFID tag application module; a tracking module; the monitoring module is used for collecting a ground image of the temporary storage room, analyzing the ground image to obtain a leakage coefficient, collecting air parameter information of the temporary storage room, and analyzing the air parameter information to obtain an air coefficient; combining the leakage coefficient with the air coefficient to obtain a risk coefficient; and a risk management module. According to the invention, the monitoring module obtains the leakage coefficient and the air coefficient through the comprehensive analysis of the ground image and the air parameter of the temporary storage room, further calculates the risk coefficient, and gives out an early warning in time according to the risk level, so that the whole process of medical wastes from a generation department to the temporary storage room is strictly monitored, and the medical wastes are prevented from being damaged. Potential risks can be found and processed in the first time, and the safety and reliability of medical waste management are greatly improved.

Description

Technical Field

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

[0002] Traditional hospitals usually classify medical waste and temporarily store it in a designated area, waiting for professional treatment. However, if the waste is lost or leaked during transportation and the transporters fail to find it, it will have an impact on the health and safety of hospital staff. Moreover, when medical waste is temporarily stored in the hospital's temporary storage room, if the packaging container of the medical waste is damaged, the pollutants therein may leak out, causing serious pollution to the air environment of the temporary storage room, leading to the accumulation of toxic gases and the growth and spread of microorganisms.

[0003] If the management platform fails to issue early warnings to the processing personnel, the processing personnel will enter the waste cleaning process without any preparation and are easily exposed to harmful substances, facing a high risk of contracting diseases or suffering other health hazards.

[0004] Therefore, a medical waste management platform based on RFID technology is needed to address the above-mentioned problems. Summary of the invention

[0005] The purpose of the present invention is to propose a medical waste management platform based on RFID technology in order to solve the above problems.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions: A medical waste management platform based on RFID technology, including 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, and 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, and then it is placed on the pressure sensor in the temporary storage room. When the waste is abnormal after being processed by the RFID reader and weighing device at the detection point, the transportation traceability analysis is triggered; if the pressure sensor in the temporary storage room detects that the pressure change exceeds the preset fluctuation range, it triggers the monitoring of the ground and air 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; Risk management module: Match risk levels based on risk factors and perform corresponding management according to risk levels.

[0007] Preferably, when the waste is abnormally processed by the RFID reader and weigher at the detection point, the waste transportation traceability analysis is triggered, which specifically 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.

[0008] Preferably, the collecting of the ground image of the temporary storage room and analyzing the image to obtain the leakage coefficient specifically includes analyzing the liquid leakage of 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, wherein the analysis of the 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 floor using 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, respectively multiply contour area and adjacent area difference with their corresponding weight factors and then sum them to obtain a liquid coefficient; Obtain the number of all leaked liquid contours on the floor of the temporary storage room and the type of leaked liquid corresponding to each contour, and assign corresponding weights according to the type of leaked liquid; obtain the liquid coefficient after comprehensive processing of the liquid coefficients of all contours.

[0009] Preferably, the solid leakage is analyzed to obtain the solid coefficient, and the solid leakage is analyzed, 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; The spherical volumes corresponding to all the solid leaks in the temporary storage room and the sub-areas corresponding to each solid leak are obtained; the volumes of each sphere are multiplied by the weight factors of the sub-areas corresponding to it and then summed to obtain the solid coefficient.

[0010] Preferably, the leakage coefficient is obtained by comprehensively processing the liquid coefficient and the solid coefficient, which specifically includes: 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.

[0011] Preferably, the air parameter information of the temporary storage room is collected and analyzed to obtain the air coefficient, which specifically 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; According to the above process, the air sub-coefficients of each subspace corresponding to each type of sensor are obtained; 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, corresponding weight factors are assigned, and the total value of the air sub-coefficient corresponding to each sensor is multiplied by the corresponding weight factor, and the air coefficient is obtained by summing them up.

[0012] Preferably, the risk coefficient is obtained by combining the leakage coefficient with the air coefficient, which specifically 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 multiplied by their corresponding weight factors and then summed to obtain the risk coefficient.

[0013] Preferably, the risk level matching based on the risk coefficient 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.

[0014] Preferably, the corresponding management according to the risk level specifically includes: 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.

[0015] Preferably, 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.

[0016] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: 1. The present invention uses the monitoring module to comprehensively analyze the ground image and air parameters of the temporary storage room to obtain the leakage coefficient and air coefficient, and then calculate the risk coefficient, and issue an early warning in time according to the risk level. This puts the entire process of medical waste from the generating department to the temporary storage room under strict monitoring, and can discover and deal with potential risks in the first place, greatly improving the safety and reliability of medical waste management; 2. The present invention uses the RFID tag application module to provide detailed information for each piece of medical waste, and cooperates with the tracking module to set up detection points at key nodes of the transportation route to verify the waste information and weight in real time. Once an abnormality occurs, it will immediately trigger the transportation traceability analysis and accurately locate the problem link. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Further details, features and advantages of the present application are disclosed in the following description of exemplary embodiments in conjunction with the accompanying drawings, in which: Figure 1 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0018] Several embodiments of the present application will be described in more detail below with reference to the accompanying 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.

[0019] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by those of ordinary skill in the art to which this 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 art and / or the context of this specification, and will not be interpreted in an idealized or overly formal sense unless explicitly defined as such herein.

[0020] See also Figure 1 As shown, the present invention provides a technical solution: A medical waste management platform based on RFID technology, including 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; Among them, the transport personnel use a handheld terminal to enter the information into the RFID tag and stick the RFID tag on the waste; The waste information includes: the department where the waste is generated, the time of generation, the type of waste (infectious waste, pathological waste, injury waste, pharmaceutical waste, chemical waste, etc.), and the actual weighing weight; 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. When waste is processed abnormally by the RFID reader and weigher at the detection point, it triggers the waste transportation traceability analysis; if the pressure sensor in the temporary storage room detects that the pressure change exceeds the preset fluctuation range, it triggers the monitoring of the ground and air in the temporary storage room; The waste transportation traceability analysis process is as follows: 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 measures based on the conclusions drawn, including the following: If waste is lost and not discovered during transportation, first have a serious communication with the transport personnel to understand the specific circumstances of the transportation process; If the waste is lost due to serious violation of operating procedures or dereliction of duty by the transport personnel, such as leaving the post without authorization during transportation or failing to properly take care of the waste, they should be given severe disciplinary sanctions, such as warnings, fines, performance deductions, etc. In serious cases, they may be suspended or dismissed; If the transporter can prove that the waste was lost due to unforeseen or force majeure factors, such as a vehicle breakdown during transportation that caused the waste to be lost due to temporary departure, although the responsibility can be mitigated, he still needs to be criticized and educated accordingly, and required to submit a detailed explanation of the situation; Regardless of the degree of responsibility, transport personnel should receive enhanced training, including strengthening awareness of the importance of waste management, improving responsibility and vigilance during transportation, and learning skills on how to ensure safe transportation of waste under various circumstances; recover lost waste and transport it to its corresponding location again. If it cannot be recovered, it will be marked in the RFID reader; If waste that does not belong to this transport is accidentally mixed into this transport, communicate with the transport personnel to understand whether there is any misoperation during the collection or transportation process, such as whether other waste is mistakenly collected as waste for this transport at the collection point, or whether other unrelated personnel mix waste during transportation, etc., and transfer the waste that does not belong to this transport to its location; If the waste is mixed in due to work errors of the transport personnel, such as failure to carefully check the waste information or carelessness in the collection process, they should be criticized and warned accordingly and required to properly handle the mixed waste and bear the additional costs incurred by handling the mixed waste, such as reclassification and transportation costs; If it is caused by external factors, such as malicious mixing of other personnel or unclear identification of collection points, and the transport personnel take reasonable measures in a timely manner after discovering the problem, the main responsibility does not lie with the transport personnel, but they are still required to cooperate with relevant departments in the investigation and strengthen supervision and inspection of the transportation process to prevent similar situations from happening again; Provide more detailed waste classification and identification training to transporters to improve their ability to distinguish different types of waste. At the same time, improve the verification process in the transportation process and require transporters to check waste information multiple times during collection and transportation to ensure accuracy; If the waste packaging is damaged during transportation, resulting in waste leakage, the transport personnel will be notified immediately to rush to the waste leakage site, clean and disinfect the leaked materials, merge the leaked materials with the waste to which they belong, replace the new packaging, re-enter the information of the packaged waste into the RFID tag, transport it to the temporary storage room according to the transportation process, and update the information about the waste in the RFID reader at the key point; If the packaging is damaged or leaked due to rough handling or illegal loading and unloading by the transport personnel during handling, they should be punished accordingly according to the severity of the leakage and the impact caused, such as fines, deduction of performance bonuses, and being ordered to bear part or all of the cleaning and disposal costs, etc. At the same time, they should be given a written warning and recorded in their personal work files; If the damage to the packaging is due to quality problems of the packaging itself or unforeseen bumps, collisions and other accidents during transportation, and the transport personnel promptly and correctly handle the problem after discovering it, the penalty can be reduced, but they still need to be reminded to pay more attention to observing and protecting the waste packaging during future transportation; Organize transportation personnel to participate in special safety training, focusing on learning the characteristics and protection methods of medical waste packaging, as well as the knowledge and skills on how to avoid packaging damage due to improper operation or other reasons during transportation, while strengthening their understanding of the hazards of waste leakage, improving safety awareness and emergency response capabilities; When waste is processed by the RFID reader and weigher at the detection point and an abnormality occurs, the abnormality determination specifically includes: When waste is processed by RFID readers and weighers at the detection point, if any of the following situations occur, it will be considered abnormal and trigger transportation traceability analysis; The RFID reader does not detect the waste tag, or detects an unknown tag; The weight fluctuation range displayed when weighing waste exceeds the preset threshold; 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; The air parameter information in the temporary storage room includes: microbial concentration, harmful gas concentration, and particulate matter concentration; 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 floor using 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, respectively multiply contour area and adjacent area difference with their corresponding weight factors and then sum them to obtain a liquid 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 liquid coefficients of all contours to obtain the liquid coefficient; The liquid coefficients of all contours are processed comprehensively to obtain the liquid coefficients, which specifically include the following parts: The liquid coefficient of each contour is marked as The subsequent entry formula is: , and the liquid coefficient is , where i is the number of the contour, ; It represents the liquid coefficient of the contour corresponding to the number i; Indicates the weight factor of the contour corresponding to number i; 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; The spherical volumes corresponding to all the solid leaks in the temporary storage room and the sub-areas corresponding to each solid leak are obtained; the volumes of each sphere are multiplied by the weight factors of the sub-areas corresponding to it and then summed to obtain the solid coefficient.

[0021] 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.

[0022] 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; According to the above process, the air sub-coefficients of each subspace corresponding to each type of sensor are obtained; 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, corresponding weight factors are assigned, and the total value of the air sub-coefficient corresponding to each sensor is multiplied by the corresponding weight factor, and the air coefficient is obtained by summing them up.

[0023] 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 coefficients and perform corresponding management according to risk levels; Matching risk levels based on risk factors includes the following: Three groups of threshold value ranges are preset, and each group of threshold value ranges corresponds to a risk level. 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; Carry out corresponding management 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, and mark the abnormal values, and send the image information in the temporary storage room to the corresponding manager's smart terminal, and set the manager's processing time for the temporary storage room; for ground leakage, if there is a liquid leakage, evaluate the spread of the leaked liquid, and clean and disinfect it in time to prevent the liquid from further spreading and polluting a larger area; if there is a 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 ventilation in the temporary storage room, turn on ventilation equipment to accelerate air circulation, 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 waste leakage or other abnormal situations are caused by problems in the transportation link. If problems are found, the transportation process will be rectified in time; When the risk level is emergency: based on 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; select the preferred personnel after screening, and send the preferred personnel to the temporary storage room for processing; After screening the processing personnel, the preferred personnel are obtained, which 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, so as 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: The process of obtaining the processing value includes: Obtain the number of times a processing staff cleans within a preset time zone before the current time point, as well as the time of each cleaning; preset the allowable range of cleaning time, compare the time of each cleaning of the processing staff with the allowable range of cleaning time in turn, and record the cleaning time within the allowable range of cleaning time as efficient time; count the efficient time of each processing staff in turn, and divide each efficient time by the number of cleaning times of each processing staff to obtain the completion ratio of each processing staff; The time from when the processing personnel's smart terminal receives the information to when the processing personnel arrive at the temporary storage room to be cleaned during each cleaning is recorded as the reaction time; a reaction time threshold is preset, and the reaction time below the reaction time threshold is recorded as the effective reaction time; the effective reaction time of each processing personnel is obtained, and the effective reaction time of each processing personnel is divided by the corresponding number of cleaning processing times in turn to obtain the reaction ratio of each processing personnel; The weight factors of the completion ratio and the reaction ratio are preset, and the completion ratio and the reaction ratio of each processing personnel are multiplied by the corresponding weight factors in turn and then summed up to obtain the processing value of each processing personnel.

[0024] The above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The influencing weight factor and specific coefficient value in the formula are set by technical personnel in this field according to actual conditions, and can be adjusted and modified later.

[0025] 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 apparent to those skilled in the art, and the general principles defined herein may 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 the embodiments shown herein, but will conform to 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; 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 weigher at the detection point, the transportation traceability analysis is triggered; if the pressure sensor in the temporary storage room detects that the pressure change exceeds the preset fluctuation range, the ground and air of the temporary storage room are monitored; When waste is abnormally processed by the RFID reader and weigher at the detection point, the transportation traceability analysis is triggered, which 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 ground image of the temporary storage room is collected and analyzed to obtain the leakage coefficient, specifically including analyzing the liquid leakage of 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, wherein the analysis of the 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, respectively multiply contour area and adjacent area difference with their corresponding weight factors and then sum them to obtain a liquid coefficient; Obtain the number of all leaked liquid contours on the floor of the temporary storage room and the type of leaked liquid corresponding to each contour, and assign corresponding weights according to the type of leaked liquid; obtain the liquid coefficient after comprehensive processing of the liquid coefficients of all contours.

4. The medical waste management platform based on RFID technology according to claim 3 is characterized in that: The solid leakage is analyzed to obtain the solid coefficient, and the solid leakage is analyzed, 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; The spherical volumes corresponding to all the solid leaks in the temporary storage room and the sub-areas corresponding to each solid leak are obtained; the volumes of each sphere are multiplied by the weight factors of the sub-areas corresponding to it and then summed to obtain the solid coefficient.

5. The medical waste management platform based on RFID technology according to claim 4 is characterized in that: The leakage coefficient is obtained by comprehensive processing of the liquid coefficient and the solid coefficient, which specifically includes: 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.

6. The medical waste management platform based on RFID technology according to claim 1, characterized in that: The air parameter information of the temporary storage room is collected and analyzed to obtain the air coefficient, which specifically 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 in time series, calculate the difference between two adjacent standard deviation values, and take the absolute value to obtain the adjacent standard deviation values; Preset the permissible range of adjacent standard deviation values, and record the adjacent standard deviation values ​​that are not within the permissible range of adjacent standard deviation values ​​as abnormal adjacent values; And all abnormal adjacent values ​​are summed up to get 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, corresponding weight factors are assigned, and the total value of the air sub-coefficient corresponding to each sensor is multiplied by the corresponding weight factor, and the air coefficient is obtained by summing them up.

7. The medical waste management platform based on RFID technology according to claim 1, characterized in that: The risk coefficient is obtained by combining the leakage coefficient with the air coefficient, which specifically 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 multiplied by their corresponding weight factors and then summed to obtain the risk coefficient.

8. The medical waste management platform based on RFID technology according to claim 1, 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.

9. The medical waste management platform based on RFID technology according to claim 8, 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.

10. The medical waste management platform based on RFID technology according to claim 9, 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