Intelligent logistics monitoring management platform system

Abstract

An intelligent logistics monitoring management platform system disclosed by the present invention comprises an unmanned vehicle, a driving state monitoring module, a medicament bottle state simulation module, a background end processing unit, a leakage detection module and a leakage emergency module, the unmanned vehicle is internally provided with independent placement areas, and each area is equipped with a main temperature control module to maintain the temperature of a medicament bottle. The driving state monitoring module collects the vehicle state in real time, the medicament bottle state simulation module generates a medicament bottle state model and compares the medicament bottle state model with a steady state model, the background end processing unit calculates a driving parameter adjustment value according to deviation and controls the vehicle driving state, and the leakage detection module detects medicament bottle leakage and positions a leakage source. And the leakage emergency module calls the main temperature control module to cool the leakage area and freeze the leakage medicament. Through dynamic monitoring and intelligent adjustment, the safety and efficiency of the chemical agent transportation process are improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent management platforms, and in particular to an intelligent logistics monitoring and management platform system. Background Art

[0002] Liquid chemicals, especially those with low boiling points, high volatility and high toxicity, require special storage and transportation conditions during logistics and transportation. In order to maintain the stability and safety of these chemicals, they are usually stored in glass bottles and require refrigerated transportation during transportation to ensure that the chemicals will not leak or deteriorate due to temperature increases or exposure to inappropriate environments. Despite the adoption of measures such as refrigerated transportation, these chemicals still face a variety of safety hazards during actual transportation, especially the bumps and collisions of transportation vehicles, which make collisions and frictions between glass bottles difficult to avoid.

[0003] At present, the common transportation solutions in the existing technology mostly focus on refrigerated transportation and simple packaging design, but do not effectively solve the following problems:

[0004] Problems of drug collision and leakage during transportation:

[0005] In the traditional transportation process, chemical bottles are usually placed in packaging boxes at a certain distance. However, due to the inevitable vehicle bumps, sudden braking and other reasons during transportation, the bottles may collide with each other. Glass bottles are fragile materials and are easily damaged in collisions, resulting in leakage of chemicals, especially those with low boiling points and high volatility. Leakage will not only cause waste of resources, but also may pollute the environment and even cause safety accidents.

[0006] However, most existing transportation monitoring technologies can only roughly monitor the temperature and humidity of the transportation environment, and cannot monitor the specific status of each medicine bottle in real time. When a glass bottle is damaged or leaks, the existing monitoring system cannot issue an alarm or locate it in time. Especially during transportation, the leakage of medicines is often affected by environmental factors such as temperature changes and pressure fluctuations, which further deteriorates the leakage and causes environmental pollution and harm to the human body. Summary of the invention

[0007] The present invention aims to provide an intelligent logistics monitoring and management platform system, which has the advantage of being able to dynamically adjust vehicle driving parameters to ensure the stability of medicine bottles. At the same time, through a leakage detection module and a leakage emergency module, it can quickly identify medicine bottle leaks and take cooling measures to prevent medicine volatilization and diffusion, thereby achieving safe management of medicines during transportation.

[0008] To achieve the above objectives, the basic scheme of the present invention is as follows: A smart logistics monitoring and management platform system, comprising:

[0009] An unmanned vehicle has multiple independent storage areas inside the vehicle, each of which is equipped with a main temperature control module to maintain a stable temperature of the medicine bottle;

[0010] A driving state monitoring module, wherein the driving state monitoring module is configured with a plurality of sensors for real-time monitoring and obtaining the driving state of the unmanned vehicle;

[0011] A medicine bottle state simulation module, which simulates the real-time state of each medicine bottle in each independent placement area during the vehicle bumping process according to the data obtained by the driving state monitoring module, and establishes a medicine bottle state model;

[0012] A back-end processing unit, wherein the back-end processing unit is configured with a steady-state model, the steady-state model is established based on the static and dynamic characteristics of the medicine bottle, and the steady-state model is used to reflect the stable state of the medicine bottle under an ideal steady state;

[0013] The back-end processing unit is used to compare the state model of the medicine bottle with the steady-state model, and calculate the driving parameters that need to be adjusted for the vehicle according to the deviation between the current state and the steady state of the medicine bottle, and generate an adjustment instruction to send to the unmanned vehicle to control the vehicle to adjust to a steady-state driving state;

[0014] A leak detection module is used to detect whether a medicine bottle leaks during transportation and locate the source of the leak;

[0015] The leakage emergency module is used to perform cooling treatment by calling the corresponding main temperature control module according to the leakage source to prevent the volatilization of the agent and reduce the diffusion of toxic gases.

[0016] Further,

[0017] The medicine bottle state simulation module is configured with a medicine bottle state model establishment strategy, and the medicine bottle state model establishment strategy includes the following steps:

[0018] Obtain the physical properties of the medicine bottle, including bottle material, capacity, volatility of the medicine, density, temperature and pressure of the medicine;

[0019] Obtain vehicle driving status data, including speed, acceleration, turning angle, bumps, and deceleration;

[0020] The state model is generated based on the physical properties of the medicine bottle and the driving state data of the vehicle. The basic form of the state model can be expressed as:

[0021] S i (t)=f(A(t),P(t),T(t),V(t))

[0022] in:

[0023] S i (t) represents the state of the i-th medicine bottle at time t, including vibration, tilt, temperature, and pressure.

[0024] A(t) represents the acceleration of the vehicle at time t,

[0025] P(t) represents the turning angle of the vehicle at time t,

[0026] T(t) represents the temperature change of the vehicle at time t,

[0027] V(t) represents the speed of the vehicle at time t.

[0028] By adopting the above technical solutions, the medicine bottle state simulation module establishes a dynamic state model based on the vehicle driving state (such as acceleration, turning angle, vibration frequency, etc.) and the physical properties of the medicine bottle (such as liquid viscosity, volume, bottle material, etc.), which can accurately simulate the comprehensive state inside and outside the medicine bottle. This real-time simulation improves the accuracy of detection, especially under complex transportation conditions, and can detect potential risks earlier;

[0029] The state model of the medicine bottle generated by the state simulation module can predict the state change trend of the medicine bottle in the future. Based on deviation analysis (such as comparison with the steady-state model), the system can issue an early warning before the state deviates from the safety threshold, so as to take intervention measures (such as adjusting vehicle driving parameters or strengthening regional protection) to avoid more serious consequences.

[0030] Further,

[0031] The back-end processing unit is equipped with a vehicle control module, and the vehicle control module is equipped with a vehicle control strategy. The vehicle control strategy calculates vehicle driving adjustment parameters by monitoring the deviation between the current state of the medicine bottle and the ideal steady state. These adjustment parameters mainly include vehicle speed v, acceleration a, and turning angle θ;

[0032] The deviation calculation formula is as follows:

[0033] ΔS i (t) = S i (t)-S steady (t)

[0034] in,

[0035] ΔS i (t) represents the deviation between the current state of the medicine bottle and the ideal steady state, reflecting the abnormality of the state of the medicine bottle;

[0036] S i (t) indicates the real-time status of the medicine bottle, including vibration, tilt, temperature, and pressure;

[0037] S steady (t) represents the ideal steady state of the medicine bottle, which represents the state of the medicine bottle under the best transportation conditions, S steady (t) retrieved from the steady-state model;

[0038] The vehicle control strategy is configured with a vehicle parameter generation submodule, which generates adjustment parameters according to the following formula:

[0039] Acceleration adjustment parameters:

[0040] a adjust =k v ΔS i (vibration)

[0041] in,

[0042] a adjust Indicates the acceleration that needs to be adjusted for the vehicle, indicating the acceleration that needs to be reduced or increased to reduce the vibration of the medicine bottle;

[0043] k v The proportionality coefficient between vibration and acceleration is determined based on the physical characteristics of the bottle and the vehicle;

[0044] ΔS i (vibration) indicates the deviation of the vibration state of the medicine bottle;

[0045] Turning angle adjustment parameters:

[0046] θ adjust =k θ ΔS i (tilt)

[0047] in,

[0048] θ adjus t represents the turning angle that the vehicle needs to adjust to reduce the tilt deviation of the medicine bottle.

[0049] k θ Indicates the proportionality coefficient between the bank deviation and the turning angle,

[0050] ΔS i (tilt) indicates the deviation of the current tilt state of the medicine bottle;

[0051] Vehicle speed adjustment parameters:

[0052] v adjust =v current -k T ΔS i (T / P)

[0053] in,

[0054] v adjust Indicates the adjusted vehicle speed, indicating the speed that needs to be reduced to reduce temperature or pressure deviations.

[0055] v current Indicates the current vehicle speed,

[0056] k T Indicates the adjustment factor of temperature or pressure deviation on speed,

[0057] ΔS i (T / P) indicates the deviation of the temperature or pressure state of the medicine bottle.

[0058] By adopting the above technical solution, the system can quickly respond to unexpected situations during vehicle driving (such as bumps, sharp turns, sudden braking, etc.) by calculating the state deviation of the medicine bottle in real time. Compared with the existing method that relies on fixed parameters or manual adjustment, this solution can adjust vehicle parameters within millisecond response time, avoiding greater impact or vibration of the medicine bottle, and greatly improving the stability during transportation;

[0059] By accurately calculating the deviation between the current state of the medicine bottle and the steady state, the solution can generate targeted driving parameter adjustment values. This optimization is not only applicable to a single scenario (such as deceleration or constant speed driving), but can also dynamically adjust vehicle parameters according to different medicine characteristics and transportation environments (such as turns, bumpy roads, etc.), so that the driving state perfectly matches the steady-state model of the medicine bottle;

[0060] This solution can predict the time point when the medicine bottle may enter an unstable state through the trend change of the deviation value. For example, when the deviation gradually increases and approaches the safety threshold, the system can generate driving adjustment instructions (such as slowing down or changing the turning angle) in advance to prevent the occurrence of unstable states. Compared with the passive response mode of the existing technology, this early warning function is more proactive and forward-looking.

[0061] Further,

[0062] The leakage detection module is equipped with an air quality monitoring module, which is arranged outside each of the independent placement areas and can detect, mark and purify air samples from each area;

[0063] The air quality monitoring module is configured with an air quality monitoring strategy. If the deviation of a certain medicine bottle exceeds a threshold (ΔS i (t)>δS), the area where the medicine bottle is located is marked as a potential leakage area, and the air quality monitoring module is used to detect the gas concentration of the air sample in the marked area. The detection steps are as follows:

[0064] Priority sampling: The air samples in the marked area are first introduced into the space where the air quality monitoring module is located.

[0065] Gas Analysis: The air quality monitoring module analyzes the gas composition and concentration in the sample to quickly identify the type and location of the leak.

[0066] Post-test purification: After the air quality monitoring module completes the test, it cleans the air in the test area to ensure the accuracy of subsequent tests.

[0067] By adopting the above technical solutions, it is possible to quickly lock the leakage area, combine gas sample marking and state deviation calculation to achieve efficient positioning, improve detection efficiency, and optimize the gas introduction and analysis process.

[0068] Further,

[0069] The main temperature control module is equipped with a main temperature control strategy, which independently adjusts the temperature according to the leakage area mark to reduce the temperature below the freezing point of the agent. The freezing temperature formula is:

[0070] T freeze =T ambient -ΔT freeze

[0071] in:

[0072] T freeze Indicates the freezing target temperature,

[0073] T ambient represents the initial ambient temperature of the area,

[0074] ΔT freeze Indicates the required cooling temperature difference.

[0075] Furthermore, the main temperature control module is also configured with a freezing state monitoring unit, and the freezing state monitoring unit is configured with a temperature monitoring strategy and a visual detection strategy;

[0076] The temperature monitoring strategy is used to monitor the temperature of the leakage area in real time through a temperature sensor to ensure that the temperature is maintained below the freezing point, and the visual detection strategy is used to identify the freezing characteristics of the surface of the medicine;

[0077] A freezing completion determination algorithm is configured, and the calculation formula of the freezing completion determination algorithm is as follows:

[0078]

[0079] in:

[0080] F complete Indicates the result of the freeze completion status, the value range is: 1 or 0, F complete=1, indicating that the freezing is complete and the area where the agent leaked has reached a completely frozen state. complete =0, indicating that freezing has not been completed and further cooling or other processing is required;

[0081] T represents the current temperature of the leakage area, which is measured in real time by the temperature sensor. When T≤T freeze When , it means that the temperature of the leakage area has reached or is lower than the freezing point of the agent;

[0082] T freeze Indicates the freezing target temperature, which is adjusted by the main temperature control module and determined by the solidification characteristics of the agent to ensure that the temperature is low enough to freeze the leaked agent;

[0083] S visual Indicates the frozen state result output by the visual inspection module. The value range is: frozen (frozen) or notfrozen (not frozen).

[0084] Frozen means that visual inspection confirms that the appearance of the drug has become solid (the color and shape changes meet the characteristics of freezing).

[0085] Not frozen means that the medicine still looks like liquid.

[0086] By adopting the above technical solution, the leaked agent can be quickly frozen through an independent temperature control module to reduce the risk of volatilization and diffusion. By combining temperature and visual inspection, the freezing state can be ensured to be complete and safe transportation can be achieved.

[0087] The freezing completion judgment formula improves the accuracy of freezing status monitoring through the joint judgment of temperature and visual status, avoids misjudgment caused by temperature judgment alone (for example, the temperature reaches the freezing point, but the agent is not completely frozen), enhances the controllability of the freezing process, ensures that the leaked agent is completely frozen, reduces the risk of volatilization and diffusion, and provides a clear freezing completion signal, providing a reliable basis for subsequent operations (such as sealing and removing leaks).

[0088] Further,

[0089] The unmanned vehicle is configured with:

[0090] Refrigeration module, used to control the temperature of the chemical storage area, including compressor and condenser;

[0091] A heat introduction module is used to introduce the heat generated by the heat output part (compressor or condenser) of the refrigeration module into the space where the air quality monitoring module is located;

[0092] The secondary temperature control module is used to control the temperature of the space where the air quality monitoring module is located and increase the movement rate of gas molecules in the space.

[0093] The secondary temperature control module controls the target temperature by the following formula:

[0094] T target =T base +ΔT

[0095] in:

[0096] T target Indicates the target temperature of the space where the air quality monitoring module is located.

[0097] T base Indicates the base temperature of the chemical refrigeration area.

[0098] ΔT represents the temperature range of the lift, which is determined by the motion characteristics of the gas molecules;

[0099] The detection response efficiency of the air quality monitoring module to gas is proportional to the movement rate of gas molecules:

[0100]

[0101] in:

[0102] v molecule represents the average velocity of gas molecules.

[0103] Indicates the temperature of the space where the air quality monitoring module is located.

[0104] By adopting the above technical solution, the detection efficiency of the air quality monitoring module is significantly improved by utilizing the waste heat of the refrigeration system, while reducing the system energy consumption and optimizing the overall operating performance. This innovation combines heat recovery and gas detection technology to provide an efficient solution for the safe transportation of chemical agents.

[0105] Further,

[0106] The leakage detection module is configured with a vibration anomaly detection strategy, a temperature anomaly detection strategy and a pressure anomaly detection strategy.

[0107] The vibration anomaly detection strategy is used to detect whether there is leakage based on the vibration of the medicine bottle. When the vibration of the medicine bottle exceeds the preset maximum amplitude, it is judged that the medicine is leaking;

[0108] The temperature anomaly detection strategy is used to detect leakage based on the temperature anomaly in the medicine bottle. When the temperature in the medicine bottle rises sharply, it is judged that the medicine has leaked. The temperature anomaly can be judged by the following formula:

[0109] ΔT=|T actual -T model |

[0110] If ΔT>T th , it is considered as temperature anomaly; where T actual represents the initial temperature of the medicine bottle, T model represents the simulated temperature of the state model of the medicine bottle, T th Indicates the temperature change threshold of the medicine bottle;

[0111] The pressure anomaly detection strategy is used to detect leakage based on the pressure anomaly in the medicine bottle. When the pressure in the medicine bottle drops suddenly, it is judged that the medicine is leaking. The pressure anomaly can be judged by the following formula:

[0112] ΔP=|P actual -P model |

[0113] If ΔP>P th , it is considered as abnormal pressure; among them, P actual Indicates the initial pressure of the medicine bottle, P model represents the simulated pressure under the state model of the medicine bottle, P th Indicates the pressure change threshold of the medicine bottle.

[0114] By adopting the above technical solution, different types of leakage scenarios can be fully covered through the three independent detection dimensions of vibration, temperature and pressure: vibration anomaly detection can quickly detect damage to medicine bottles caused by vehicle bumps or impacts; temperature anomaly detection can identify sudden temperature changes caused by chemical reactions or volatilization of medicines; pressure anomaly detection can quickly capture changes in pressure inside medicine bottles, such as a sudden drop in pressure caused by a ruptured bottle; each dimension is independent and complementary to each other, forming a three-dimensional leakage detection mechanism, which greatly improves the detection accuracy.

[0115] Compared with the prior art, the beneficial effects of this solution are:

[0116] This solution has the advantages of being able to dynamically adjust vehicle driving parameters to ensure the stability of the medicine bottle. At the same time, through the leakage detection module and the leakage emergency module, it can quickly identify the leakage of the medicine bottle and take cooling measures to prevent the volatilization and diffusion of the medicine, thereby achieving safe management of the medicine during transportation. BRIEF DESCRIPTION OF THE DRAWINGS

[0117] Figure 1 This is the system architecture diagram of this solution. DETAILED DESCRIPTION

[0118] The present invention will be further described in detail below with reference to the accompanying drawings and through specific implementation methods:

[0119] Example:

[0120] like Figure 1As shown, a smart logistics monitoring and management platform system includes:

[0121] The unmanned vehicle has multiple independent placement areas inside, each of which is equipped with a main temperature control module. The pharmaceutical chemical agent in this embodiment is liquid bromine, and the main temperature control module in the independent placement area controls the temperature at the ideal storage temperature of liquid bromine (-7°C to -10°C) to avoid its volatilization and decomposition.

[0122] The unmanned vehicle is configured with:

[0123] Refrigeration module, used to control the temperature of the chemical storage area, including compressor and condenser;

[0124] The heat import module is used to import the heat generated by the heat output part (compressor or condenser) of the refrigeration module into the space where the air quality monitoring module is located; the waste heat of the refrigeration module (from the compressor and condenser) increases the temperature of the space where the air quality monitoring module is located (e.g., from -10°C to 20°C) through the heat import module, thereby enhancing the movement rate of bromine gas molecules and improving gas detection efficiency.

[0125] The secondary temperature control module is used to control the temperature of the space where the air quality monitoring module is located and increase the movement rate of gas molecules in the space.

[0126] The secondary temperature control module controls the target temperature by the following formula:

[0127] T target =T base +ΔT

[0128] in:

[0129] T target Indicates the target temperature of the space where the air quality monitoring module is located.

[0130] T base Indicates the base temperature of the chemical refrigeration area.

[0131] ΔT represents the temperature range of the lift, which is determined by the motion characteristics of the gas molecules;

[0132] The detection response efficiency of the air quality monitoring module to gas is proportional to the movement rate of gas molecules:

[0133]

[0134] in:

[0135] v molecule represents the average velocity of gas molecules.

[0136] Indicates the temperature of the space where the air quality monitoring module is located.

[0137] A driving state monitoring module, wherein the driving state monitoring module is configured with a plurality of sensors for real-time monitoring and obtaining the driving state of the unmanned vehicle;

[0138] A medicine bottle state simulation module, which simulates the real-time state of each medicine bottle in each independent placement area during the vehicle bumping process according to the data obtained by the driving state monitoring module, and establishes a medicine bottle state model;

[0139] Specifically, the medicine bottle state simulation module is configured with a medicine bottle state model establishment strategy, and the medicine bottle state model establishment strategy includes the following steps:

[0140] Obtain the physical properties of the medicine bottle, including bottle material, capacity, volatility of the medicine, density, temperature and pressure of the medicine;

[0141] Obtain vehicle driving status data, including speed, acceleration, turning angle, bumps, and deceleration;

[0142] The state model is generated based on the physical properties of the medicine bottle and the driving state data of the vehicle. The basic form of the state model can be expressed as:

[0143] S i (t)=f(A(t),P(t),T(t),V(t))

[0144] in:

[0145] S i (t) represents the state of the i-th medicine bottle at time t, including vibration, tilt, temperature, and pressure.

[0146] A(t) represents the acceleration of the vehicle at time t,

[0147] P(t) represents the turning angle of the vehicle at time t,

[0148] T(t) represents the temperature change of the vehicle at time t,

[0149] V(t) represents the speed of the vehicle at time t.

[0150] A back-end processing unit, wherein the back-end processing unit is configured with a steady-state model, the steady-state model is established based on the static and dynamic characteristics of the medicine bottle, and the steady-state model is used to reflect the stable state of the medicine bottle under an ideal steady state;

[0151] The back-end processing unit is used to compare the state model of the medicine bottle with the steady-state model, and calculate the driving parameters that need to be adjusted for the vehicle according to the deviation between the current state and the steady state of the medicine bottle, and generate an adjustment instruction to send to the unmanned vehicle to control the vehicle to adjust to a steady-state driving state;

[0152] Specifically, the backend processing unit is configured with a vehicle control module, and the vehicle control module is configured with a vehicle control strategy. The vehicle control strategy calculates vehicle driving adjustment parameters by monitoring the deviation between the current state of the medicine bottle and the ideal steady state. These adjustment parameters mainly include vehicle speed v, acceleration a, and turning angle θ;

[0153] The deviation calculation formula is as follows:

[0154] ΔS i (t) = S i (t)-S steady (t)

[0155] in,

[0156] ΔS i (t) represents the deviation between the current state of the medicine bottle and the ideal steady state, reflecting the abnormality of the state of the medicine bottle;

[0157] S i (t) indicates the real-time status of the medicine bottle, including vibration, tilt, temperature, and pressure;

[0158] S steady (t) represents the ideal steady state of the medicine bottle, which represents the state of the medicine bottle under the best transportation conditions, S steady (t) retrieved from the steady-state model;

[0159] The vehicle control strategy is configured with a vehicle parameter generation submodule, which generates adjustment parameters according to the following formula:

[0160] Acceleration adjustment parameters:

[0161] a adjust =k y ΔS i (vibration)

[0162] in,

[0163] a adjust Indicates the acceleration that needs to be adjusted for the vehicle, indicating the acceleration that needs to be reduced or increased to reduce the vibration of the medicine bottle;

[0164] k v The proportionality coefficient between vibration and acceleration is determined based on the physical characteristics of the bottle and the vehicle;

[0165] ΔS i (vibration) indicates the deviation of the vibration state of the medicine bottle;

[0166] Turning angle adjustment parameters:

[0167] θ adjust =k θ ΔS i (tilt)

[0168] in,

[0169] θ adjust Indicates the turning angle that the vehicle needs to adjust to reduce the tilt deviation of the medicine bottle.

[0170] k θ Indicates the proportionality coefficient between the bank deviation and the turning angle,

[0171] ΔS i (tilt) indicates the deviation of the current tilt state of the medicine bottle;

[0172] Vehicle speed adjustment parameters:

[0173] v adjust =v current -k T ΔS i (T / P)

[0174] in,

[0175] v adjust Indicates the adjusted vehicle speed, indicating the speed that needs to be reduced to reduce temperature or pressure deviations.

[0176] v current Indicates the current vehicle speed,

[0177] k T Indicates the adjustment factor of temperature or pressure deviation on speed,

[0178] ΔS i (T / P) indicates the deviation of the temperature or pressure state of the medicine bottle.

[0179] A leak detection module is used to detect whether a medicine bottle leaks during transportation and locate the source of the leak;

[0180] The leakage detection module is configured with a vibration anomaly detection strategy, a temperature anomaly detection strategy and a pressure anomaly detection strategy.

[0181] The vibration anomaly detection strategy is used to detect whether there is leakage based on the vibration of the medicine bottle. When the vibration of the medicine bottle exceeds the preset maximum amplitude, it is judged that the medicine is leaking;

[0182] The temperature anomaly detection strategy is used to detect leakage based on the temperature anomaly in the medicine bottle. When the temperature in the medicine bottle rises sharply, it is judged that the medicine has leaked. The temperature anomaly can be judged by the following formula:

[0183] ΔT=|T actual -T model |

[0184] If ΔT>T th , it is considered as temperature anomaly; where T actual represents the initial temperature of the medicine bottle, T model represents the simulated temperature of the state model of the medicine bottle, T th Indicates the temperature change threshold of the medicine bottle;

[0185] The pressure anomaly detection strategy is used to detect leakage based on the pressure anomaly in the medicine bottle. When the pressure in the medicine bottle drops suddenly, it is judged that the medicine is leaking. The pressure anomaly can be judged by the following formula:

[0186] AP=|P actual -P model |

[0187] If AP>P th , it is considered as abnormal pressure; among them, P actual Indicates the initial pressure of the medicine bottle, P model represents the simulated pressure under the state model of the medicine bottle, P th Indicates the pressure change threshold of the medicine bottle.

[0188] The details are as follows:

[0189] Abnormal vibration detection: If the vibration amplitude of the liquid bromine container exceeds the set threshold (such as 3mm) due to vehicle bumps, it is judged that the container may be damaged.

[0190] Temperature anomaly detection: If the container temperature rises sharply from the set value (such as -7°C) and exceeds the threshold ΔT=2°C, it is judged that there may be a leak.

[0191] Abnormal pressure detection: If the internal pressure of the container drops suddenly by more than ΔP=5kPa, it is judged that a leak may have occurred.

[0192] After the leakage area is marked, the air quality monitoring module collects and detects the bromine gas concentration in the air sample in the area.

[0193] The specific detection logic is as follows:

[0194] Air samples in the marked areas are preferentially imported into the air quality monitoring module;

[0195] When the bromine gas concentration exceeds the threshold (e.g. 10 ppm), liquid bromine leakage is confirmed and the source is located.

[0196] Specifically, the leakage detection module is equipped with an air quality monitoring module, which is arranged outside each of the independent placement areas and can detect, mark and purify air samples from each area;

[0197] The air quality monitoring module is configured with an air quality monitoring strategy. If the deviation of a certain medicine bottle exceeds a threshold (ΔS i (t)>δS), the area where the medicine bottle is located is marked as a potential leakage area, and the air quality monitoring module is used to detect the gas concentration of the air sample in the marked area. The detection steps are as follows:

[0198] Priority sampling: The air samples in the marked area are first introduced into the space where the air quality monitoring module is located.

[0199] Gas Analysis: The air quality monitoring module analyzes the gas composition and concentration in the sample to quickly identify the type and location of the leak.

[0200] Post-test purification: After the air quality monitoring module completes the test, it cleans the air in the test area to ensure the accuracy of subsequent tests.

[0201] The leakage emergency module is used to cool down the leak source by calling the corresponding main temperature control module to prevent the volatilization of the agent and reduce the spread of toxic gases. After confirming the leak, the main temperature control module is called to cool down to below -10℃ independently; after freezing, the air purification device is started to remove the bromine gas residue.

[0202] Specifically, the main temperature control module is configured with a main temperature control strategy, which independently adjusts the temperature according to the leakage area mark to reduce the temperature below the freezing point of the agent. The freezing temperature formula is:

[0203] T freeze =T ambient -ΔT freeze

[0204] in:

[0205] T freeze Indicates the freezing target temperature,

[0206] T ambient represents the initial ambient temperature of the area,

[0207] ΔT freeze Indicates the required cooling temperature difference.

[0208] The main temperature control module is also equipped with a freezing state monitoring unit, which includes a temperature sensing unit and a visual detection unit, the temperature sensing unit is equipped with a temperature monitoring strategy, and the visual detection unit is equipped with a visual detection strategy;

[0209] The temperature monitoring strategy is used to monitor the temperature of the leakage area in real time through a temperature sensor to ensure that the temperature is maintained below the freezing point, and the visual detection strategy is used to identify the freezing characteristics of the surface of the medicine;

[0210] A freezing completion determination algorithm is configured, and the calculation formula of the freezing completion determination algorithm is as follows:

[0211]

[0212] in:

[0213] F complete Indicates the result of the freeze completion status, the value range is: 1 or 0, F complete =1, indicating that the freezing is complete and the area where the agent leaked has reached a completely frozen state. complete =0, indicating that freezing has not been completed and further cooling or other processing is required;

[0214] T represents the current temperature of the leakage area, which is measured in real time by the temperature sensor. When T≤T freeze When , it means that the temperature of the leakage area has reached or is lower than the freezing point of the agent;

[0215] T freeze Indicates the freezing target temperature, which is adjusted by the main temperature control module and determined by the solidification characteristics of the agent to ensure that the temperature is low enough to freeze the leaked agent;

[0216] S visual Indicates the frozen state result output by the visual inspection module. The value range is: frozen (frozen) or notfrozen (not frozen).

[0217] Frozen means that visual inspection confirms that the appearance of the drug has become solid (the color and shape changes meet the characteristics of freezing).

[0218] Not frozen means that the medicine still looks like liquid.

[0219] This solution has the following advantages:

[0220] 1. Precise control: Dynamically adjust transportation conditions through state models and real-time data to ensure stable transportation of liquid bromine.

[0221] 2. Efficient detection: Multi-dimensional leak detection strategy combined with air quality monitoring module to quickly locate the source of the leak.

[0222] 3. Safe handling: Freeze the leaked liquid bromine to prevent volatilization and diffusion, and protect the environment and transportation personnel.

[0223] The above is only an embodiment of the present invention, and the common knowledge such as the known specific structure and characteristics in the scheme is not described in detail here. It should be pointed out that for those skilled in the art, several deformations and improvements can be made without departing from the structure of the present invention, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicality of the patent. The scope of protection required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. A smart logistics monitoring and management platform system, characterized by: include: An unmanned vehicle has multiple independent storage areas inside the vehicle, each of which is equipped with a main temperature control module to maintain a stable temperature of the medicine bottle; A driving state monitoring module, wherein the driving state monitoring module is configured with a plurality of sensors for real-time monitoring and obtaining the driving state of the unmanned vehicle; A medicine bottle state simulation module, which simulates the real-time state of each medicine bottle in each independent placement area during the vehicle bumping process according to the data obtained by the driving state monitoring module, and establishes a medicine bottle state model; A back-end processing unit, wherein the back-end processing unit is configured with a steady-state model, the steady-state model is established based on the static and dynamic characteristics of the medicine bottle, and the steady-state model is used to reflect the stable state of the medicine bottle under an ideal steady state; The back-end processing unit is used to compare the state model of the medicine bottle with the steady-state model, and calculate the driving parameters that need to be adjusted for the vehicle according to the deviation between the current state and the steady state of the medicine bottle, and generate an adjustment instruction to send to the unmanned vehicle to control the vehicle to adjust to a steady-state driving state; A leak detection module is used to detect whether a medicine bottle leaks during transportation and locate the source of the leak; The leakage emergency module is used to perform cooling treatment by calling the corresponding main temperature control module according to the leakage source to prevent the volatilization of the agent and reduce the diffusion of toxic gases.

2. According to claim 1, a smart logistics monitoring and management platform system is characterized by: The medicine bottle state simulation module is configured with a medicine bottle state model establishment strategy, and the medicine bottle state model establishment strategy includes the following steps: Obtain the physical properties of the medicine bottle, including bottle material, capacity, volatility of the medicine, density, temperature and pressure of the medicine; Obtain vehicle driving status data, including speed, acceleration, turning angle, bumps, and deceleration; The state model is generated based on the physical properties of the medicine bottle and the driving state data of the vehicle. The basic form of the state model can be expressed as: S i (t)=f(A(t),P(t),T(t),V(t)) in: S i (t) represents the state of the i-th medicine bottle at time t, including vibration, tilt, temperature, and pressure. A(t) represents the acceleration of the vehicle at time t, P(t) represents the turning angle of the vehicle at time t, T(t) represents the temperature change of the vehicle at time t, V(t) represents the speed of the vehicle at time t.

3. According to claim 2, a smart logistics monitoring and management platform system is characterized by: The back-end processing unit is equipped with a vehicle control module, and the vehicle control module is equipped with a vehicle control strategy. The vehicle control strategy calculates vehicle driving adjustment parameters by monitoring the deviation between the current state of the medicine bottle and the ideal steady state. These adjustment parameters mainly include vehicle speed v, acceleration a, and turning angle θ; The deviation calculation formula is as follows: ΔS i (t)=S i (t)-S steady (t) in, ΔS i (t) represents the deviation between the current state of the medicine bottle and the ideal steady state, reflecting the abnormality of the state of the medicine bottle; S i (t) indicates the real-time status of the medicine bottle, including vibration, tilt, temperature, and pressure; S steady (t) represents the ideal steady state of the medicine bottle, which represents the state of the medicine bottle under the best transportation conditions, S steady (t) retrieved from the steady-state model; The vehicle control strategy is configured with a vehicle parameter generation submodule, which generates adjustment parameters according to the following formula: Acceleration adjustment parameters: a adjust =k v ·ΔS i (vibration) in, a adjust Indicates the acceleration that needs to be adjusted for the vehicle, indicating the acceleration that needs to be reduced or increased to reduce the vibration of the medicine bottle; k v The proportionality coefficient between vibration and acceleration is determined based on the physical characteristics of the bottle and the vehicle; ΔS i (vibration) indicates the deviation of the vibration state of the medicine bottle; Turning angle adjustment parameters: θ adjust =k θ ·ΔS i (tilt) in, θ adjust Indicates the turning angle that the vehicle needs to adjust to reduce the tilt deviation of the medicine bottle. k θ Indicates the proportionality coefficient between the bank deviation and the turning angle, ΔS i (tilt) indicates the deviation of the current tilt state of the medicine bottle; Vehicle speed adjustment parameters: v adjust =v current -k T ·ΔS i (T / P) in, v adjust Indicates the adjusted vehicle speed, indicating the speed that needs to be reduced to reduce temperature or pressure deviations. v current Indicates the current vehicle speed, k T Indicates the adjustment factor of temperature or pressure deviation on speed, ΔS i (T / P) indicates the deviation of the temperature or pressure state of the medicine bottle.

4. According to claim 3, a smart logistics monitoring and management platform system is characterized by: The leakage detection module is equipped with an air quality monitoring module, which is arranged outside each of the independent placement areas and can detect, mark and purify air samples from each area; The air quality monitoring module is configured with an air quality monitoring strategy. If the deviation of a certain medicine bottle exceeds a threshold (ΔS i (t)>δS), the area where the medicine bottle is located is marked as a potential leakage area, and the air quality monitoring module is used to detect the gas concentration of the air sample in the marked area. The detection steps are as follows: Priority sampling: The air samples in the marked area are first introduced into the space where the air quality monitoring module is located. Gas Analysis: The air quality monitoring module analyzes the gas composition and concentration in the sample to quickly identify the type and location of the leak. Post-test purification: After the air quality monitoring module completes the test, it cleans the air in the test area to ensure the accuracy of subsequent tests.

5. According to claim 4, a smart logistics monitoring and management platform system is characterized by: The main temperature control module is equipped with a main temperature control strategy, which independently adjusts the temperature according to the leakage area mark to reduce the temperature below the freezing point of the agent. The freezing temperature formula is: T freeze =T ambient -ΔT freeze in: T freeze Indicates the freezing target temperature, T ambient represents the initial ambient temperature of the area, ΔT freeze Indicates the required cooling temperature difference.

6. The intelligent logistics monitoring and management platform system according to claim 5 is characterized by: The main temperature control module is also equipped with a freezing state monitoring unit, and the freezing state monitoring unit is equipped with a temperature monitoring strategy and a visual detection strategy; The temperature monitoring strategy is used to monitor the temperature of the leakage area in real time through a temperature sensor to ensure that the temperature is maintained below the freezing point, and the visual detection strategy is used to identify the freezing characteristics of the surface of the medicine; A freezing completion determination algorithm is configured, and the calculation formula of the freezing completion determination algorithm is as follows: in: F complete Indicates the result of the freeze completion status, the value range is: 1 or 0, F complete =1, indicating that the freezing is complete and the area where the agent leaked has reached a completely frozen state. complete =0, indicating that freezing has not been completed and further cooling or other processing is required; T represents the current temperature of the leakage area, which is measured in real time by the temperature sensor. When T≤T freeze When , it means that the temperature of the leakage area has reached or is lower than the freezing point of the agent; T freeze Indicates the freezing target temperature, which is adjusted by the main temperature control module and determined by the solidification characteristics of the agent to ensure that the temperature is low enough to freeze the leaked agent; S visual Indicates the frozen state result output by the visual inspection module. The value range is: frozen or not frozen. Frozen means that visual inspection confirms that the appearance of the drug has become solid (the color and shape changes meet the characteristics of freezing). Not frozen means that the medicine still looks like liquid.

7. The intelligent logistics monitoring and management platform system according to claim 4 is characterized by: The unmanned vehicle is configured with: Refrigeration module, used to control the temperature of the chemical storage area, including compressor and condenser; A heat introduction module is used to introduce the heat generated by the heat output part (compressor or condenser) of the refrigeration module into the space where the air quality monitoring module is located; The secondary temperature control module is used to control the temperature of the space where the air quality monitoring module is located and increase the movement rate of gas molecules in the space. The secondary temperature control module controls the target temperature by the following formula: T target =T base +ΔT in: T target Indicates the target temperature of the space where the air quality monitoring module is located. T base Indicates the base temperature of the chemical refrigeration area. ΔT represents the temperature range of the lift, which is determined by the motion characteristics of the gas molecules; The detection response efficiency of the air quality monitoring module to gas is proportional to the movement rate of gas molecules: in: v molecule represents the average velocity of gas molecules. Indicates the temperature of the space where the air quality monitoring module is located.

8. The intelligent logistics monitoring and management platform system according to claim 1 is characterized by: The leakage detection module is configured with a vibration anomaly detection strategy, a temperature anomaly detection strategy and a pressure anomaly detection strategy. The vibration anomaly detection strategy is used to detect whether there is leakage based on the vibration of the medicine bottle. When the vibration of the medicine bottle exceeds the preset maximum amplitude, it is judged that the medicine is leaking; The temperature anomaly detection strategy is used to detect leakage based on the temperature anomaly in the medicine bottle. When the temperature in the medicine bottle rises sharply, it is judged that the medicine has leaked. The temperature anomaly can be judged by the following formula: ΔT=|T actual -T model | If ΔT>T th , it is considered as temperature anomaly; where T actual represents the initial temperature of the medicine bottle, T model represents the simulated temperature of the state model of the medicine bottle, T th Indicates the temperature change threshold of the medicine bottle; The pressure anomaly detection strategy is used to detect leakage based on the pressure anomaly in the medicine bottle. When the pressure in the medicine bottle drops suddenly, it is judged that the medicine is leaking. The pressure anomaly can be judged by the following formula: ΔP=|P actual -P model | If ΔP>P th , it is considered as abnormal pressure; among them, P actual Indicates the initial pressure of the medicine bottle, P model represents the simulated pressure under the state model of the medicine bottle, P th Indicates the pressure change threshold of the medicine bottle.

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