A Safety Monitoring Method and System for Hazardous Chemicals during Logistics Transportation

Abstract

The present invention relates to the technical field of safety management systems, and discloses a safety monitoring method and system for hazardous chemicals during logistics transportation. The method includes: real-time recording the driving data of the monitoring vehicle transporting hazardous chemicals and the monitoring data of the hazardous chemicals, and sending them to a parallel chain allocated in the blockchain platform, where the monitoring data includes environmental data obtained by sensors; using the driving data and the monitoring data as input data and inputting them into a safety risk prediction model in the parallel chain to predict transportation risk factors; calculating a recommended driving route for the monitoring vehicle according to the transportation risk factors; calculating a safety monitoring strategy and sending the safety monitoring strategy to the monitoring vehicle. The present invention is beneficial to solving the problems in the prior art that the safety monitoring for the transportation of hazardous chemicals lacks risk prediction in the specific transportation process and cannot adopt safety strategies based on risk prediction.

Description

Technical Field

[0001] The present invention relates to the technical field of safety management systems, and particularly to a safety monitoring method for hazardous chemicals during logistics transportation and a safety management system. Background Art

[0002] Hazardous chemicals refer to chemical substances with properties such as explosion, flammability, toxicity, corrosion, radioactivity, etc., which are prone to cause personal injury, property damage or environmental pollution during the processes of production, storage, transportation, use and waste disposal and thus require special protection.

[0003] According to different hazardous characteristics, hazardous chemicals can be classified into multiple categories, for example:

[0004] Explosives: Substances or articles with explosive properties;

[0005] Compressed gases and liquefied gases: Compressed, liquefied or pressurized and dissolved gases;

[0006] Flammable liquids: Liquids and their mixtures that are prone to combustion;

[0007] Flammable solids, spontaneous combustion articles and flammable articles when wet: Solids that are easy to burn, articles that can self-heat and burn in the air, and articles that produce combustible gases when exposed to water;

[0008] Oxidants and organic peroxides: Substances that can support combustion and compounds that are easy to decompose to produce oxygen;

[0009] Toxic and infectious articles: Articles containing highly toxic and poisonous substances and substances containing pathogens;

[0010] Radioactive articles: Radioactive isotopes and articles containing radioactive substances;

[0011] Corrosive articles: Articles that have a strong corrosive effect on biological tissues, metals and other materials.

[0012] Hazardous chemical transportation refers to the process of transferring chemicals with properties such as explosion, flammability, toxicity, corrosion, radioactivity, etc. from one location to another. These chemicals require special attention to safety during transportation to prevent accidents such as leakage, fire, explosion, etc. The transportation methods include road transportation, railway transportation, waterway transportation, air transportation and pipeline transportation, etc.

[0013] In the prior art, for the safety monitoring of hazardous chemical transportation, it mainly focuses on the monitoring of drivers' fatigue driving, lacking risk prediction during the specific transportation process and unable to adopt safety strategies based on the risk prediction. Summary of the Invention

[0014] The main object of the present invention is to provide a safety monitoring method for hazardous chemicals during logistics transportation, as well as a safety management system, aiming to solve the problems in the prior art that for the safety monitoring of hazardous chemical transportation, there is a lack of risk prediction for the specific transportation process and safety strategies cannot be adopted based on the risk prediction.

[0015] To achieve the above object, a safety monitoring method for hazardous chemicals during logistics transportation provided by the present invention includes the following steps:

[0016] The driving data of the monitoring vehicle transporting hazardous chemicals and the monitoring data of the hazardous chemicals are recorded in real time and sent to a parallel chain allocated in the blockchain platform, where the driving data includes the position, status, speed, direction and driving trajectory of the vehicle, and the monitoring data includes environmental data obtained by sensors;

[0017] Taking the driving data and the monitoring data as input data, inputting them into the safety risk prediction model in the parallel chain to predict the transportation risk factors;

[0018] Calculating a recommended driving route for the monitoring vehicle according to the transportation risk factors;

[0019] Calculating a safety monitoring strategy and sending the safety monitoring strategy to the monitoring vehicle.

[0020] Preferably, the step of taking the driving data and the monitoring data as input data and inputting them into the safety risk prediction model in the parallel chain to predict the transportation risk factors includes:

[0021] Calculating the danger radius, danger coefficient and risk level factor of the monitoring vehicle according to the types and quantities of hazardous chemicals transported by the monitoring vehicle, as well as the driving data and the monitoring data;

[0022] Calculating the avoidance radius of the monitoring vehicle according to the danger radius, danger coefficient and risk level factor of the monitoring vehicle;

[0023] Obtaining the current position and the target position of the monitoring vehicle, and calculating several alternative driving routes of the monitoring vehicle according to the current position and the target position;

[0024] Taking each position point in each alternative driving route as the center point and using the avoidance radius as the scanning window to scan each alternative driving route to obtain the scanned area passed by the scanning window;

[0025] Predicting the transportation risk factors of each alternative driving route according to the avoidance area scanned in the scanned area of each alternative driving route and the traffic flow of the scanned area.

[0026] Preferably, the step of calculating the danger radius, danger coefficient and risk level factor of the monitoring vehicle according to the types and quantities of dangerous chemicals transported by the monitoring vehicle, as well as the driving data and monitoring data, includes:

[0027] Obtain the types and quantities of dangerous chemicals transported by the monitoring vehicle;

[0028] Obtain the current average vehicle speed of the monitoring vehicle;

[0029] Obtain the monitored temperature data, monitored humidity data and monitored pressure data under the conditions of transporting dangerous chemicals;

[0030] Calculate the danger radius of the monitoring vehicle according to the types and quantities of dangerous chemicals, the current average vehicle speed, the monitored temperature data, the monitored humidity data and the monitored pressure data;

[0031] Calculate the danger coefficient and risk level factor of the monitoring vehicle according to the types and quantities of dangerous chemicals.

[0032] Preferably, the step of calculating the recommended driving route of the monitoring vehicle according to the transportation risk factor includes:

[0033] Judge whether there is an alternative driving route with a transportation risk factor reaching the set risk factor;

[0034] If so, send the alternative driving route with the smallest transportation risk factor to the monitoring vehicle as the recommended driving route of the monitoring vehicle;

[0035] If not, obtain the self-selected driving route received by the monitoring vehicle as the recommended driving route of the monitoring vehicle.

[0036] Preferably, the step of calculating the safety monitoring strategy and sending the safety monitoring strategy to the monitoring vehicle includes:

[0037] According to the driving data of the monitoring vehicle, calculate the passing time and passing risk corresponding to each scanned avoidance area that the monitoring vehicle passes through the recommended driving route;

[0038] Send the passing time and passing risk corresponding to each scanned avoidance area that the monitoring vehicle passes through the recommended driving route to the relay chain of the blockchain platform;

[0039] In the relay chain, predict the meeting time and meeting risk of all monitoring vehicles meeting within the monitoring distance under the same time scale;

[0040] According to the meeting time and meeting risk, before the meeting time, adjust the driving speeds of the monitoring vehicles that will meet in the prediction result, and send the driving speeds of the monitoring vehicles that will meet in the prediction result to the corresponding monitoring vehicles to avoid meeting events.

[0041] Preferably, the step of adjusting the driving speed of the monitored vehicles that will intersect in the prediction result before the intersection time according to the intersection time and intersection risk, and sending the driving speed of the monitored vehicles that will intersect in the prediction result to the corresponding monitored vehicles to avoid intersection events includes:

[0042] Obtain the first section whose distance from the avoidance area in the recommended driving route is greater than the avoidance radius, and the second section whose distance from the avoidance area is within the avoidance radius;

[0043] Take the first section as the speed adjustment area and set the speed limit for the second section;

[0044] Obtain the length of the first section and the length of the second section, as well as the distribution of the first section and the second section, and adjust the driving speed of the speed adjustment area according to the speed limit to avoid intersection events.

[0045] Preferably, the method further includes:

[0046] Obtain the traffic flow data of the first section to calculate the predicted congestion period when the monitored vehicle passes through the first section;

[0047] Adjust the driving speed of the monitored vehicle according to the predicted congestion period.

[0048] Preferably, (1) calculate the danger radius of the monitored vehicle according to the following formula:

[0049]

[0050] where R is the danger radius of the monitored vehicle, is the current average vehicle speed of the monitored vehicle, V0 is the set vehicle speed, and K is a constant; M i is the mass of the i-th hazardous chemical transported by the monitored vehicle, in tons; 1 ≤ i ≤ n, and n is the number of types of hazardous chemicals transported by the monitored vehicle; T i is the temperature correction factor of the i-th hazardous chemical transported by the monitored vehicle. Determine the corresponding temperature correction factor according to the monitored temperature data. The temperature correction factor of the hazardous chemical insensitive to temperature is 1; RH i is the humidity correction factor of the i-th hazardous chemical transported by the monitored vehicle. Determine the corresponding humidity correction factor according to the monitored humidity data. The humidity correction factor of the hazardous chemical insensitive to humidity is 1; P i is the pressure correction factor of the i-th hazardous chemical transported by the monitored vehicle. Determine the corresponding pressure correction factor according to the monitored pressure data. The pressure correction factor of the hazardous chemical insensitive to pressure is 1;

[0051] (2) Calculate the danger coefficient of the monitored vehicle according to the following formula:

[0052]

[0053] Among them, X is the risk coefficient of the monitored vehicle, and q i is the actual mass of the i-th hazardous chemical transported by the monitored vehicle, with the unit of ton; Q i is the set critical mass of the i-th hazardous chemical transported by the monitored vehicle, with the unit of ton;

[0054] (3) Calculate the risk level factor of the monitored vehicle according to the following formula:

[0055]

[0056] Among them, Y is the risk level factor of the monitored vehicle in the recommended driving route, β is the correction coefficient of the exposed personnel of the monitored vehicle, and α i is the correction coefficient of the i-th hazardous chemical transported by the monitored vehicle;

[0057] (4) Calculate the avoidance radius of the monitored vehicle according to the following method:

[0058] B = R × X × Y;

[0059] Among them, B is the avoidance radius.

[0060] Preferably, calculate the transportation risk factor of each candidate driving route according to the following method:

[0061]

[0062] Among them, F j is the transportation risk factor of the j-th candidate driving route; l j is the route length of the j-th candidate driving route, L j is the average traffic flow per unit length in the j-th candidate driving route; ω jk is the unit area hazard factor set for the k-th avoidance area scanned in the scanned area of the j-th candidate driving route, determined according to the type of the avoidance area, 1 ≤ k ≤ K, and K is the number of avoidance areas of the candidate driving route; S jk is the area of the k-th avoidance area scanned in the scanned area of the j-th candidate driving route.

[0063] To achieve the above object, the present invention further provides a security management system, which adopts the safety monitoring method for hazardous chemicals in logistics transportation; the security management system includes a terminal module disposed on a monitoring vehicle, and further includes a blockchain platform communicatively connected to the terminal module; the terminal module is configured to upload the driving data of the monitoring vehicle and the monitoring data of the hazardous chemicals to a parallel chain allocated in the blockchain platform, and is configured to obtain the safety monitoring strategy issued by the blockchain platform to the monitoring vehicle.

[0064] In the technical solution of the present invention, the driving data of the monitoring vehicle transporting hazardous chemicals and the monitoring data of the hazardous chemicals are recorded in real time and sent to the parallel chain allocated in the blockchain platform. Thus, in each parallel chain of the blockchain platform, multiple monitoring vehicles transporting hazardous chemicals can be supervised simultaneously, and the monitoring data is queryable, traceable, and tamper-proof. Further, the driving data and the monitoring data are input into the safety risk prediction model in the parallel chain. Therefore, according to the actual driving data and the actual monitoring data of each monitoring vehicle, the transportation risk of each monitoring vehicle can be evaluated separately, and an exclusive evaluation result for each monitoring vehicle can be obtained; further, during the specific transportation process, the driving data and the monitoring data of the hazardous chemicals are changing. Thus, the real-time data at different time periods are respectively input into the safety risk prediction model, and the obtained prediction results may be the same or different, which is conducive to obtaining real-time prediction results as the actual monitoring input data, thereby reflecting the dynamic situation of the safety risk. Further, for each transportation risk factor, different safety monitoring strategies are formed and the safety monitoring strategies are sent to the monitoring vehicle to execute the safety monitoring strategies. Thus, the technical solution of the present invention comprehensively predicts and evaluates the risks in the specific transportation process, and according to the risk prediction results, corresponding safety monitoring strategies can be formulated to solve the technical problems in the prior art that for the safety monitoring of hazardous chemical transportation, the risk prediction in the specific transportation process is lacking, and safety strategies cannot be adopted according to the risk prediction. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] Figure 1 It is a schematic flow chart of the safety monitoring method for hazardous chemicals in logistics transportation in the first embodiment of the present invention;

[0066] Figure 2 It is a theoretical diagram of the safety risk prediction model of the present invention;

[0067] Figure 3 It is a schematic diagram of data interaction between the monitoring vehicle, the parallel chain, and the relay chain of the present invention;

[0068] Figure 4 It is a schematic diagram of multiple alternative driving routes;

[0069] Figure 5It is a schematic diagram of the first section and the second section.

[0070] The realization of the object, functional features and advantages of the present invention will be further described with reference to the accompanying drawings in combination with embodiments. Specific embodiments

[0071] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0072] In the subsequent description, suffixes such as "unit", "component" or "unit" used to represent elements are only for the convenience of explaining the present invention and have no specific meaning in themselves. Therefore, "unit", "component" or "unit" can be used interchangeably.

[0073] Please refer to Figures 1 to 4 , in the first embodiment of the present invention, a safety monitoring method for dangerous chemicals in logistics transportation is provided, including the following steps:

[0074] Step S10, the driving data of the monitoring vehicle transporting dangerous chemicals and the monitoring data of the dangerous chemicals are recorded in real time and sent to the parallel chain allocated in the blockchain platform, wherein the driving data includes the position, state, speed, direction and driving trajectory of the vehicle, and the monitoring data includes the environmental data obtained by the sensor;

[0075] Step S20, taking the driving data and the monitoring data as input data and inputting them into the safety risk prediction model in the parallel chain to predict the transportation risk factor;

[0076] Step S30, calculating the recommended driving route of the monitoring vehicle according to the transportation risk factor;

[0077] Step S40, calculating the safety monitoring strategy and sending the safety monitoring strategy to the monitoring vehicle.

[0078] In the technical solution of the present invention, the driving data of the monitoring vehicle transporting hazardous chemicals and the monitoring data of the hazardous chemicals are recorded in real time and sent to the parallel chain allocated in the blockchain platform. Thus, in each parallel chain of the blockchain platform, multiple monitoring vehicles transporting hazardous chemicals can be supervised simultaneously, and the monitoring data is queryable and traceable, and tampering can be avoided. Further, the driving data and the monitoring data are input into the safety risk prediction model in the parallel chain. Therefore, according to the actual driving data and the actual monitoring data of each monitoring vehicle, the transportation risk of each monitoring vehicle can be evaluated separately, and an exclusive evaluation result of each monitoring vehicle can be obtained; further, during the specific transportation process, the driving data and the monitoring data of the hazardous chemicals are changing. Thus, the real-time data at different time periods are respectively input into the safety risk prediction model, and the obtained prediction results may be the same or different, which is beneficial to obtaining real-time prediction results as the actual monitoring input data, thereby reflecting the dynamic situation of the safety risk. Further, during the safety monitoring process, the safety monitoring strategy is also calculated and sent to the monitoring vehicle to execute the safety monitoring strategy. Thus, the technical solution of the present invention comprehensively predicts and evaluates the risks in the specific transportation process, and according to the risk prediction results, corresponding safety monitoring strategies can be formulated to solve the technical problems in the prior art that in the safety monitoring of hazardous chemical transportation, the risk prediction in the specific transportation process is lacking, and safety strategies cannot be taken according to the risk prediction.

[0079] Blockchain is a distributed database that stores information through data blocks (called blocks) linked together. Each block contains a certain number of data records, which are added to the blockchain after being verified. The core features of the blockchain include decentralization, immutability, and transparency.

[0080] A parallel chain is an important part of a multi-chain architecture or multi-chain system. It refers to an independent blockchain that runs parallel to the main chain. In a multi-chain system, a parallel chain can be regarded as a blockchain customized for a specific application scenario or business logic.

[0081] The relay chain is the core component in the multi-chain architecture. It plays a role in connecting each parallel chain and provides a unified security and consensus mechanism for the entire system.

[0082] In the present invention, the driving data and the monitoring data obtained by each monitoring vehicle or each set of monitoring vehicles set are stored in the same parallel chain allocated in the blockchain platform in the form of a data group.

[0083] Specifically, according to the set data types, the driving data of the monitoring vehicle and the monitoring data of the hazardous chemicals are respectively obtained at each data acquisition moment, arranged into a data group, and sent to the corresponding parallel chain.

[0084] Furthermore, in the parallel chain, it is not necessary to use all the driving data of the monitored vehicles and the monitoring data of the hazardous chemicals received as input data to input into the safety risk prediction model to predict the transportation risk factors. Instead, the input safety risk prediction model is input for prediction in the following manner:

[0085] Whenever it is detected that the monitored vehicle reaches the prediction trigger condition, the driving data and the monitoring data obtained by the set sampling times of the monitored vehicle are input into the safety risk prediction model for continuous prediction.

[0086] Among them, the trigger conditions include: the position of the vehicle exceeds the recommended driving route, the speed of the vehicle is less than the minimum speed threshold, the speed of the vehicle is greater than the maximum speed threshold, the length of the continuous driving trajectory of the vehicle exceeds the set length, and the preset data collection interval duration is reached.

[0087] Specifically, the vehicle state in the driving data includes the driving state and the stop state, and the direction is the driving direction. The monitoring data includes: the temperature, humidity, pressure, etc. of the hazardous chemicals stored in the monitored vehicle.

[0088] Based on the first embodiment of the safety monitoring method for hazardous chemicals in logistics transportation of the present invention, in the second embodiment of the safety monitoring method for hazardous chemicals in logistics transportation of the present invention, the step S20 includes:

[0089] Step S21, calculate the hazard radius, hazard coefficient and risk level factor of the monitored vehicle according to the type and quantity of the hazardous chemicals transported by the monitored vehicle, as well as the driving data and the monitoring data;

[0090] Step S22, calculate the avoidance radius of the monitored vehicle according to the hazard radius, hazard coefficient and risk level factor of the monitored vehicle;

[0091] Step S23, obtain the current position and the target position of the monitored vehicle, and calculate several alternative driving routes of the monitored vehicle according to the current position and the target position;

[0092] Step S24, take each position point in each alternative driving route as the center point, and use the avoidance radius as the scanning window to scan each alternative driving route to obtain the scanning area passed by the scanning window;

[0093] Step S25, predict the transportation risk factor of each alternative driving route according to the avoidance area scanned in the scanning area of each alternative driving route and the traffic flow of the scanning area.

[0094] In this embodiment, the degree of danger of the monitored vehicle is evaluated through the type and quantity of hazardous chemicals, the driving situation and the monitoring data.

[0095] According to the degree of danger, calculate the avoidance radius that the monitoring vehicle needs to avoid with the avoidance area during driving. Among them, the avoidance area is determined according to the setting. For example, it can be a densely populated area, a water source area vulnerable to hazardous chemical pollution, a school, etc.

[0096] After calculating the avoidance radius, scan with each passing position point as the center point and the avoidance radius as the scanning window on the alternative driving route. Therefore, evaluate the area of the avoidance area falling into the scanning area and evaluate the traffic flow (pedestrian flow or vehicle flow in the scanning area. Among them, if it is a road, generally only the vehicle flow can be evaluated), and the transportation risk factor of each alternative driving route can be determined.

[0097] Based on the second embodiment of the safety monitoring method of hazardous chemicals in logistics transportation of the present invention, in the third embodiment of the safety monitoring method of hazardous chemicals in logistics transportation of the present invention, the step S21 includes:

[0098] Step S211, obtain the types and quantities of hazardous chemicals transported by the monitoring vehicle;

[0099] Step S212, obtain the current average vehicle speed of the monitoring vehicle;

[0100] Step S213, obtain the monitored temperature data, monitored humidity data, and monitored pressure data under the transportation conditions of hazardous chemicals;

[0101] Step S214, calculate the danger radius of the monitoring vehicle according to the types and quantities of hazardous chemicals, the current average vehicle speed, the monitored temperature data, the monitored humidity data, and the monitored pressure data;

[0102] Step S215, calculate the danger coefficient and risk level factor of the monitoring vehicle according to the types and quantities of hazardous chemicals.

[0103] (1) According to the following formula, calculate the danger radius of the monitoring vehicle:

[0104]

[0105] Among them, R is the danger radius of the monitoring vehicle, is the current average vehicle speed of the monitoring vehicle, V0 is the set vehicle speed, K is a constant; M i is the mass of the i-th hazardous chemical transported by the monitoring vehicle, in tons; 1≤i≤n, n is the number of types of hazardous chemicals transported by the monitoring vehicle; T i is the temperature correction factor of the i-th hazardous chemical transported by the monitoring vehicle. Determine the corresponding temperature correction factor according to the monitored temperature data. The temperature correction factor of the hazardous chemical insensitive to temperature is 1; RH iTo monitor the humidity correction factor of the i-th hazardous chemical transported by a vehicle, determine the corresponding humidity correction factor based on the monitored humidity data. The humidity correction factor for hazardous chemicals insensitive to humidity is 1; P i To monitor the pressure correction factor of the i-th hazardous chemical transported by a vehicle, determine the corresponding pressure correction factor based on the monitored pressure data. The pressure correction factor for hazardous chemicals insensitive to pressure is 1;

[0106] (2) Calculate the risk coefficient of the monitored vehicle according to the following formula:

[0107]

[0108] where X is the risk coefficient of the monitored vehicle, q i is the actual mass of the i-th hazardous chemical transported by the monitored vehicle, in tons; Q i is the set critical mass of the i-th hazardous chemical transported by the monitored vehicle, in tons;

[0109] (3) Calculate the risk level factor of the monitored vehicle according to the following formula:

[0110]

[0111] where Y is the risk level factor of the monitored vehicle in the recommended driving route, β is the correction coefficient of the exposed personnel of the monitored vehicle, α i is the correction coefficient of the i-th hazardous chemical transported by the monitored vehicle;

[0112] β takes values according to the interval corresponding to the permanent population quantity within the observation radius. The observation radius is the range obtained by expanding a preset radius outward from each position point in the recommended driving route of the monitored vehicle;

[0113] α i is obtained by looking up a table;

[0114] (4) Calculate the avoidance radius of the monitored vehicle according to the following method:

[0115] B = R × X × Y;

[0116] where B is the avoidance radius.

[0117] Furthermore, calculate the avoidance area type of the monitored vehicle according to the following method:

[0118] Determine the avoidance area type of the monitored vehicle according to the types of hazardous chemicals transported by the monitored vehicle;

[0119] Specifically, a mapping relationship table between the types of hazardous chemicals and the types of avoidance areas can be established. For example, when the types of hazardous chemicals include chemicals that cause pollution to water bodies after leakage or undergo dangerous reactions with water after leakage (such as toxic chemicals, flammable chemicals, strong acids or strong bases), the types of avoidance areas include water bodies such as rivers and lakes. Another example is that when the types of hazardous chemicals include toxic or easily explosive hazardous chemicals, the types of avoidance areas include densely populated areas (such as towns and residential areas);

[0120] The final avoidance radius type of the monitoring vehicle is the union of the avoidance radius types corresponding to various types of hazardous chemicals transported by the monitoring vehicle.

[0121] (5) Calculate the transportation risk factor of each candidate driving route according to the following method:

[0122]

[0123] Among them, F j is the transportation risk factor of the j-th candidate driving route; l j is the route length of the j-th candidate driving route, and L j is the average traffic flow per unit length in the j-th candidate driving route; ω jk is the unit area hazard factor set for the k-th avoidance area scanned in the scanning area of the j-th candidate driving route, which is determined according to the type of the avoidance area, 1 ≤ k ≤ K, and K is the number of avoidance areas of the candidate driving route; S jk is the area of the k-th avoidance area scanned in the scanning area of the j-th candidate driving route.

[0124] Based on the second or third embodiment of the safety monitoring method for hazardous chemicals in logistics transportation of the present invention, in the fourth embodiment of the safety monitoring method for hazardous chemicals in logistics transportation of the present invention, the step S30 includes:

[0125] Step S31, determine whether there is a candidate driving route whose transportation risk factor reaches the set risk factor;

[0126] If so, execute step S32: Send the candidate driving route with the smallest transportation risk factor to the monitoring vehicle as the recommended driving route of the monitoring vehicle;

[0127] If not, execute step S33 to obtain the self-selected driving route received by the monitoring vehicle as the recommended driving route of the monitoring vehicle.

[0128] Specifically, if there is an alternative driving route that reaches the set risk factor among the alternative driving routes, the driver is not allowed to select the driving route by himself. If there is no alternative driving route that reaches the set risk factor among the alternative driving routes, the driver is allowed to select the driving route by himself.

[0129] Based on the fourth embodiment of the safety monitoring method for hazardous chemicals in logistics transportation of the present invention, in the fifth embodiment of the safety monitoring method for hazardous chemicals in logistics transportation of the present invention, the step S40 includes:

[0130] Step S41, according to the driving data of the monitoring vehicle, calculate the passing time and passing risk respectively corresponding to each scanned avoidance area that the monitoring vehicle passes through the recommended driving route; among them, each scanned avoidance area that passes through the recommended driving route refers to the distance from the scanned avoidance area being less than the set distance;

[0131] Step S42, send the passing time and passing risk respectively corresponding to each scanned avoidance area that the monitoring vehicle passes through the recommended driving route to the relay chain of the blockchain platform;

[0132] Step S43, in the relay chain, predict the meeting time and meeting risk of all monitoring vehicles that meet within the monitoring distance at the same time scale;

[0133] Step S44, according to the meeting time and meeting risk, before the meeting time, adjust the driving speed of the monitoring vehicles that will meet in the prediction result, and send the driving speed of the monitoring vehicles that will meet in the prediction result to the corresponding monitoring vehicles to avoid meeting events.

[0134] Among them, refer to the following method to calculate the passing risk:

[0135] D mk =g mk L m +ω mk S mk ;

[0136] Among them, D mk is the passing risk of the mth monitoring vehicle passing through the kth avoidance area, g mk is the length of the mth monitoring vehicle passing through the kth avoidance area along the driving path; L m is the traffic flow per unit length in the driving route where the mth monitoring vehicle is located; ω mk is the unit area risk factor of the mth monitoring vehicle passing through the kth avoidance area, S mk is the area of the mth monitoring vehicle passing through the kth avoidance area falling within the avoidance radius;

[0137] Refer to the following method to calculate the meeting risk:

[0138]

[0139] Among them, J mk is the intersection risk when the m-th monitoring vehicle intersects with other monitoring vehicles in the k-th avoidance area. is the maximum average vehicle speed of all monitoring vehicles intersecting with the m-th monitoring vehicle in the k-th avoidance area; L m is the traffic flow per unit length in the driving route where the m-th monitoring vehicle is located; ω mk is the unit area hazard factor of the m-th monitoring vehicle passing through the k-th avoidance area, and S mk is the area where the m-th monitoring vehicle passing through the k-th avoidance area falls within the avoidance radius; 1 ≤ m ≤ M, and M is the number of vehicles intersecting in the k-th avoidance area.

[0140] Based on the fifth embodiment of the safety monitoring method for hazardous chemicals in logistics transportation of the present invention, in the sixth embodiment of the safety monitoring method for hazardous chemicals in logistics transportation of the present invention, the step S44 includes:

[0141] Step S441, obtain the first section whose distance from the avoidance area is greater than the avoidance radius and the second section whose distance from the avoidance area is within the avoidance radius in the recommended driving route;

[0142] Step S442, use the first section as the speed adjustment area and set the maximum speed limit for the second section;

[0143] Step S443, obtain the length of the first section and the length of the second section, as well as the distribution of the first section and the second section, and adjust the driving speed of the speed adjustment area according to the maximum speed limit to avoid intersection events.

[0144] Specifically, the first section whose distance from the avoidance area is greater than the avoidance radius is determined by the set of sections corresponding to the center points of the scanning windows that do not scan the avoidance area. Conversely, the second section whose distance from the avoidance area is within the avoidance radius is determined by the set of sections corresponding to the center points of the scanning windows that scan the avoidance area.

[0145] Specifically, the distance between the first section and the avoidance area is greater than the avoidance radius. Relatively speaking, the monitoring vehicle can adopt a relatively free driving speed on the first section, and this section can be used for speed adjustment; the distance between the second section and the avoidance area is within the avoidance radius, and the driving speed of the monitoring vehicle on the second section is subject to speed supervision and needs to travel within the speed limit; adjusting the speed of the first section according to the speed of the second section helps to change the intersection time between the monitoring vehicle and other monitoring vehicles.

[0146] In this embodiment, according to the lengths of the first section and the second section, as well as the distribution of the first section and the second section, the speed adjustment speed of the first section is determined. Thus, when the length of the first section exceeds the first set length, the first section with its own length has a more flexible speed adjustment scheme. For example, speed increase control (or speed decrease control) can be performed; while when the length of the first section is less than the second set length, the first section is merged into the second section, and no speed increase control is performed, but speed decrease control can be performed. The first set length is greater than the second set length.

[0147] Please refer to Figure 5 , in Figure 5 In the first section marked, no avoidance area is scanned by each scanning window. Therefore, the set of sections corresponding to the center points of the scanning windows is the first section; in Figure 5 In the second section marked, only the set of sections corresponding to the center points of the scanning areas between scanning window a and scanning window b is the first section. Since the first section is less than the second set length, the first section is merged into the second section.

[0148] Based on the sixth embodiment of the safety monitoring method for hazardous chemicals in logistics transportation of the present invention, in the seventh embodiment of the safety monitoring method for hazardous chemicals in logistics transportation of the present invention, the method further includes:

[0149] Step S50: Obtain the traffic flow data of the first section to calculate the predicted congestion period when the monitoring vehicle passes through the first section;

[0150] Step S60: Adjust the driving speed of the monitoring vehicle according to the predicted congestion period.

[0151] To achieve the above object, the present invention also proposes a safety management system. The safety management system adopts the safety monitoring method for hazardous chemicals in logistics transportation; the safety management system includes a terminal module disposed on the monitoring vehicle, and also includes a blockchain platform communicatively connected to the terminal module; the terminal module is used to upload the driving data of the monitoring vehicle and the monitoring data of the hazardous chemicals to the parallel chain allocated in the blockchain platform, and is used to obtain the safety monitoring strategy issued by the blockchain platform to the monitoring vehicle.

[0152] Through the description of the above embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus a necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases, the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a computer-readable storage medium as described above (such as ROM / RAM, magnetic disk, optical disk), and includes several instructions to enable a terminal device to execute the methods described in the various embodiments of the present invention.

[0153] In the description of this specification, the descriptions referring to terms such as "one embodiment", "another embodiment", "other embodiments", or "the first embodiment to the Xth embodiment" etc. mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, method steps, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0154] It should be noted that in this article, the term "comprising", "including" or any other variant thereof is intended to cover a non-exclusive inclusion, so that a process, method, article or system including a series of elements not only includes those elements but also includes other elements not explicitly listed, or further includes elements inherent to such a process, method, article or system. Without more limitations, an element defined by the statement "comprising one..." does not exclude the existence of additional identical elements in the process, method, article or system including the element.

[0155] The serial numbers of the above embodiments of the present invention are only for description and do not represent the superiority or inferiority of the embodiments.

[0156] The above are only the preferred embodiments of the present invention, and do not limit the patent scope of the present invention accordingly. Any equivalent structure or equivalent process transformation made by using the content of the specification and drawings of the present invention, or directly or indirectly applied in other related technical fields, shall be equally included in the patent protection scope of the present invention.

Claims

1. A safety monitoring method for hazardous chemicals during logistics transportation, characterized in that, The method includes the following steps: Real-time record the driving data of the monitoring vehicle transporting hazardous chemicals and the monitoring data of the hazardous chemicals, and send them to the parallel chain allocated in the blockchain platform. The driving data includes the position, status, speed, direction and driving trajectory of the vehicle, and the monitoring data includes the environmental data obtained by the sensor; Use the driving data and the monitoring data as input data and input them into the safety risk prediction model in the parallel chain to predict the transportation risk factors, including: calculating the hazard radius, hazard coefficient and risk level factor of the monitoring vehicle according to the types and quantities of hazardous chemicals transported by the monitoring vehicle, as well as the driving data and monitoring data; calculating the avoidance radius of the monitoring vehicle according to the hazard radius, hazard coefficient and risk level factor of the monitoring vehicle; obtaining the current position and target position of the monitoring vehicle, and calculating several alternative driving routes of the monitoring vehicle according to the current position and target position; using each position point in each alternative driving route as the center point and the avoidance radius as the scanning window to scan each alternative driving route to obtain the scanned area passed by the scanning window; predicting the transportation risk factor of each alternative driving route according to the avoidance area scanned in the scanned area of each alternative driving route and the traffic flow of the scanned area; Calculate the recommended driving route of the monitoring vehicle according to the transportation risk factor; Calculate the safety monitoring strategy and send the safety monitoring strategy to the monitoring vehicle.

2. The safety monitoring method of hazardous chemicals in logistics transportation according to claim 1, characterized in that, The step of calculating the hazard radius, hazard coefficient and risk level factor of the monitoring vehicle according to the types and quantities of hazardous chemicals transported by the monitoring vehicle, as well as the driving data and monitoring data, includes: Obtain the types and quantities of hazardous chemicals transported by the monitoring vehicle; Obtain the current average vehicle speed of the monitoring vehicle; Obtain the monitored temperature data, monitored humidity data and monitored pressure data under the conditions of transporting hazardous chemicals; Calculate the hazard radius of the monitoring vehicle according to the types and quantities of hazardous chemicals, the current average vehicle speed, the monitored temperature data, the monitored humidity data and the monitored pressure data; Calculate the hazard coefficient and risk level factor of the monitoring vehicle according to the types and quantities of hazardous chemicals.

3. The safety monitoring method of hazardous chemicals in logistics transportation according to claim 1, wherein, The step of calculating the recommended driving route of the monitoring vehicle according to the transportation risk factor includes: Judge whether there is an alternative driving route with a transportation risk factor reaching the set risk factor; If so, send the alternative driving route with the smallest transportation risk factor to the monitoring vehicle as the recommended driving route of the monitoring vehicle; If not, obtain the self-selected driving route received by the monitoring vehicle as the recommended driving route of the monitoring vehicle.

4. The safety monitoring method of hazardous chemicals in logistics transportation according to claim 3, wherein The step of calculating the safety monitoring strategy and sending the safety monitoring strategy to the monitoring vehicle includes: Calculate the passing time and passing risk corresponding to each scanned avoidance area passed by the monitoring vehicle through the recommended driving route according to the driving data of the monitoring vehicle; Send the passing time and passing risk corresponding to each scanned avoidance area passed by the monitoring vehicle through the recommended driving route to the relay chain of the blockchain platform; In the relay chain, predict the meeting time and meeting risk of all monitoring vehicles meeting within the monitoring distance in the same time scale; According to the intersection time and intersection risk, before the intersection time, adjust the driving speed of the monitored vehicles that will intersect in the prediction result, and send the driving speed of the monitored vehicles that will intersect in the prediction result to the corresponding monitored vehicles to avoid intersection events.

5. The safety monitoring method of hazardous chemicals in logistics transportation according to claim 4, characterized in that, The step of adjusting the driving speed of the monitored vehicles that will intersect in the prediction result according to the intersection time and intersection risk before the intersection time, and sending the driving speed of the monitored vehicles that will intersect in the prediction result to the corresponding monitored vehicles to avoid intersection events includes: Obtain the first section of the recommended driving route whose distance from the avoidance area is greater than the avoidance radius, and the second section whose distance from the avoidance area is within the avoidance radius; Take the first section as the speed adjustment area and set a maximum speed limit for the second section; Obtain the length of the first section and the length of the second section, as well as the distribution of the first section and the second section, and adjust the driving speed of the speed adjustment area according to the maximum speed limit to avoid intersection events.

6. The safety monitoring method of hazardous chemicals in logistics transportation according to claim 5, characterized in that The method further includes: Obtain the traffic flow data of the first section to calculate the predicted congestion period when the monitored vehicle passes through the first section; Adjust the driving speed of the monitored vehicle according to the predicted congestion period.

7. The safety monitoring method of hazardous chemicals in logistics transportation according to claim 2, characterized in that: (1) Calculate the danger radius of the monitored vehicle according to the following formula: Wherein, R is the danger radius of the monitoring vehicle, is the current average vehicle speed of the monitoring vehicle, V0 is the set vehicle speed, and K is a constant; M i is the mass of the i-th hazardous chemical transported by the monitoring vehicle, with the unit of ton; 1 ≤ i ≤ n, and n is the number of types of hazardous chemicals transported by the monitoring vehicle; T i is the temperature correction factor of the i-th hazardous chemical transported by the monitoring vehicle. The corresponding temperature correction factor is determined according to the monitored temperature data. The temperature correction factor of the hazardous chemical insensitive to temperature is 1; RH i is the humidity correction factor of the i-th hazardous chemical transported by the monitoring vehicle. The corresponding humidity correction factor is determined according to the monitored humidity data. The humidity correction factor of the hazardous chemical insensitive to humidity is 1; P i is the pressure correction factor of the i-th hazardous chemical transported by the monitoring vehicle. The corresponding pressure correction factor is determined according to the monitored pressure data. The pressure correction factor of the hazardous chemical insensitive to pressure is 1; (2) Calculate the danger coefficient of the monitored vehicle according to the following formula: Wherein, X is the risk coefficient of the monitored vehicle, q i is the actual mass of the i-th hazardous chemical transported by the monitored vehicle, in tons; Q i is the set critical mass of the i-th hazardous chemical transported by the monitored vehicle, in tons; (3) Calculate the risk level factor of the monitored vehicle according to the following formula: Among them, Y is the risk level factor of the monitored vehicle in the recommended driving route, β is the correction coefficient of the exposed personnel of the monitored vehicle, and α i is the correction coefficient of the i-th hazardous chemical transported by the monitored vehicle; (4) Calculate the avoidance radius of the monitored vehicle according to the following method: B = R × X × Y; Where B is the avoidance radius.

8. The safety monitoring method of hazardous chemicals in logistics transportation according to claim 7, characterized in that Calculate the transportation risk factor of each candidate driving route according to the following method: Among them, F j is the transportation risk factor of the j-th candidate driving route; l j is the route length of the j-th candidate driving route, L j is the average traffic flow per unit length in the j-th candidate driving route; ω jk is the unit area hazard factor set for the k-th avoidance area scanned in the scanning area of the j-th candidate driving route, determined according to the type of the avoidance area, 1 ≤ k ≤ K, where K is the number of avoidance areas of the candidate driving route; S jk is the area of the k-th avoidance area scanned in the scanning area of the j-th candidate driving route.

9. A security management system, characterized in that, The safety management system adopts the safety monitoring method of hazardous chemicals in logistics transportation according to any one of claims 1 to 8; the safety management system includes a terminal module arranged on the monitored vehicle, and also includes a blockchain platform communicatively connected to the terminal module; the terminal module is used to upload the driving data of the monitored vehicle and the monitoring data of the hazardous chemicals to the parallel chain allocated in the blockchain platform, and is used to obtain the safety monitoring strategy issued by the blockchain platform to the monitored vehicle.

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