Safety monitoring method and system for dangerous chemicals in logistics transportation

Abstract

The invention relates to the technical field of safety management systems, and discloses a safety monitoring method and system for dangerous chemicals in logistics transportation, and the method comprises the steps: carrying out the real-time recording of the driving data of a monitoring vehicle for transporting the dangerous chemicals and the monitoring data of the dangerous chemicals, and transmitting the data to a parallel chain distributed in a block chain platform, the monitoring data comprises environment data acquired by a sensor; using the driving data and the monitoring data as input data, and inputting the input data into the safety risk prediction model in the parallel chain to predict a transportation risk factor; calculating a recommended driving route of the monitored vehicle according to the transportation risk factor; and calculating a safety monitoring strategy, and issuing the safety monitoring strategy to the monitored vehicle. The problems that in the prior art, risk prediction in the specific transportation process is lacked for safety monitoring of dangerous chemical transportation, and a safety strategy cannot be adopted according to risk prediction are solved.

Description

Technical Field

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

[0002] Dangerous chemicals refer to chemicals that have properties such as explosion, flammability, toxicity, corrosiveness, and radioactivity, which can easily cause personal injury, property loss, or environmental pollution during production, storage, transportation, use, and disposal, and therefore require special protection.

[0003] Hazardous chemicals can be divided into several categories according to their different hazardous characteristics, such as:

[0004] Explosives: Substances or articles that have explosive properties;

[0005] Compressed and liquefied gases: gases that are compressed, liquefied, or dissolved under pressure;

[0006] Flammable liquids: liquids and mixtures that are easily combustible;

[0007] Flammable solids, self-igniting articles and articles that are easily flammable when wet: easily flammable solids and articles that can heat up and burn on their own in the air, as well as articles that produce flammable gases when in contact with water;

[0008] Oxidants and organic peroxides: substances that support combustion, and compounds that easily decompose to produce oxygen;

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

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

[0011] Corrosive items: items that have strong corrosive effects on biological tissues, metals and other materials.

[0012] Dangerous chemical transportation refers to the process of transferring chemicals with explosive, flammable, toxic, corrosive, radioactive and other properties from one location to another. These chemicals require special attention to safety during transportation to prevent accidents such as leakage, fire, explosion, etc. Transportation methods include road transportation, rail transportation, water transportation, air transportation and pipeline transportation.

[0013] In the existing technology, the safety monitoring of the transportation of hazardous chemicals mainly focuses on the monitoring of driver fatigue driving. There is a lack of risk prediction in the specific transportation process, and safety strategies cannot be adopted based on risk prediction. Summary of the invention

[0014] The main purpose of the present invention is to provide a method for safety monitoring of hazardous chemicals in logistics transportation, and a safety management system, aiming to solve the problems in the prior art of safety monitoring of hazardous chemical transportation, lack of risk prediction in the specific transportation process, and inability to adopt safety strategies based on risk prediction.

[0015] To achieve the above object, the present invention provides a method for safety monitoring of hazardous chemicals in logistics transportation, comprising the following steps:

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

[0017] Inputting the driving data and the monitoring data as input data into the safety risk prediction model in the parallel chain to predict the transportation risk factor;

[0018] Calculate the recommended driving route for the monitoring vehicle based on the transportation risk factors;

[0019] Calculate the safety monitoring strategy and send the safety monitoring strategy to the monitoring vehicle.

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

[0021] Calculate the hazard radius, hazard coefficient and risk level factor of the monitored vehicle based on the types and quantities of hazardous chemicals transported by the monitored vehicle, as well as driving data and monitoring data;

[0022] Calculate the avoidance radius of the monitored vehicle based on the danger radius, danger coefficient and risk level factor of the monitored vehicle;

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

[0024] Taking each position point in each of the candidate driving routes as the center point and the avoidance radius as the scanning window, each of the candidate driving routes is scanned to obtain a scanning area passed by the scanning window;

[0025] The transportation risk factor of each of the to-be-selected driving routes is predicted according to the avoidance areas scanned in the scanning area of ​​each of the to-be-selected driving routes and the traffic flow in the scanning 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, comprises:

[0027] Obtain the types and quantities of hazardous chemicals transported by monitoring vehicles;

[0028] Get the current average speed of the monitored vehicle;

[0029] Obtain monitoring temperature data, monitoring humidity data and monitoring pressure data under the transportation conditions of hazardous chemicals;

[0030] Calculate the danger radius of the monitored vehicle based on the type and quantity of hazardous chemicals, current average vehicle speed, monitored temperature data, monitored humidity data, and monitored pressure data;

[0031] Calculate the hazard coefficient and risk level factor of the monitored vehicle based on the types and quantities of hazardous chemicals.

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

[0033] Determine whether there is a candidate travel route whose transportation risk factor reaches the set risk factor;

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

[0035] If not, the self-selected driving route received by the monitoring vehicle is obtained 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 monitored vehicle, the passing time and passing risk corresponding to each scanned avoidance area of ​​the monitored vehicle passing through the recommended driving route are calculated;

[0038] The monitoring vehicle will send the passing time and passing risk corresponding to each scanned avoidance area on the recommended driving route to the relay chain of the blockchain platform;

[0039] In the relay chain, the intersection time and intersection risk of all monitored vehicles that intersect within the monitoring distance at the same time scale are predicted;

[0040] According to the intersection time and the intersection risk, before the intersection time, the driving speed of the monitored vehicles that will intersect in the prediction results is adjusted, and the driving speed of the monitored vehicles that will intersect in the prediction results is sent to the corresponding monitoring vehicles to avoid intersection events.

[0041] Preferably, the step of adjusting the driving speed of the monitoring vehicle that will intersect in the prediction result before the intersecting time according to the intersecting time and the intersecting risk, and sending the driving speed of the monitoring vehicle that will intersect in the prediction result to the corresponding monitoring vehicle to avoid the intersecting event includes:

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

[0043] The first section is used as a speed regulation area, and the second section is subject to a maximum speed limit;

[0044] The length of the first road section and the length of the second road section, as well as the distribution of the first road section and the second road section are obtained, and the driving speed in the speed regulation area is adjusted according to the maximum speed limit to avoid the intersection event.

[0045] Preferably, the method further comprises:

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

[0047] Adjust the driving speed of monitored vehicles according to predicted congestion periods.

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

[0049]

[0050] Among them, R is the danger radius of the monitored vehicle, To monitor the current average speed of the vehicle, V0 is the set 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 hazardous chemicals transported by the monitoring vehicle; T i To monitor the temperature correction factor of the i-th hazardous chemical transported by the vehicle, the corresponding temperature correction factor is determined according to the monitored temperature data. The temperature correction factor of hazardous chemicals that are not sensitive to temperature is 1; RH i To monitor the humidity correction factor of the i-th hazardous chemical transported by the vehicle, the corresponding humidity correction factor is determined according to the monitored humidity data. The humidity correction factor of hazardous chemicals that are not sensitive to humidity is 1; P i To monitor the pressure correction factor of the i-th hazardous chemical transported by the vehicle, the corresponding pressure correction factor is determined according to the monitored pressure data, and the pressure correction factor of the hazardous chemical that is not sensitive to pressure is 1;

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

[0052]

[0053] Among them, X is the risk factor of the monitored vehicle, q i To monitor the actual mass of the i-th hazardous chemical transported by the vehicle, in tons; Q i The set critical mass of the i-th hazardous chemical transported by the monitoring vehicle, in tons;

[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 Correction factor for monitoring the transport of the i-th hazardous chemical by vehicle;

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

[0058] B = R × X × Y;

[0059] Where B is the avoidance radius.

[0060] Preferably, the transportation risk factor of each to-be-selected driving route is calculated according to the following method:

[0061]

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

[0063] To achieve the above-mentioned purpose, the present invention also proposes a safety management system, which adopts the safety monitoring method of hazardous chemicals in logistics transportation; the safety management system includes a terminal module arranged on a 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 hazardous chemicals to the parallel chain allocated in the blockchain platform, and to obtain the safety monitoring strategy sent by the blockchain platform to the monitoring vehicle.

[0064] In the technical solution of the present invention, the driving data of the monitoring vehicles transporting hazardous chemicals and the monitoring data of hazardous chemicals are recorded in real time and sent to the parallel chain allocated in the blockchain platform. Therefore, in each parallel chain of the blockchain platform, multiple monitoring vehicles transporting hazardous chemicals can be supervised at the same time, and the monitoring data can be queried and traced, and tampering can be avoided. Further, the driving data and monitoring data are input into the safety risk prediction model in the parallel chain. Therefore, according to the actual driving data and actual monitoring data of each monitoring vehicle, the transportation risk of each monitoring vehicle can be evaluated separately, and the exclusive evaluation result of each monitoring vehicle can be obtained; further, in the specific transportation process, the driving data and the monitoring data of hazardous chemicals are changing, so that the real-time data at different time periods are respectively input into the safety risk prediction model, and the prediction results obtained may be the same or different, which is conducive to obtaining real-time prediction results with the actual monitoring input data, thereby reflecting the dynamic situation of safety risks. Further, for each transportation risk factor, a different safety monitoring strategy is formed, and the safety monitoring strategy is issued to the monitoring vehicle to execute the safety monitoring strategy. Therefore, the technical solution of the present invention will conduct a comprehensive prediction and evaluation of the risks in the specific transportation process, and according to the risk prediction results, it can formulate corresponding safety monitoring strategies to solve the technical problems in the prior art of safety monitoring of the transportation of hazardous chemicals, lack of risk prediction in the specific transportation process, and inability to adopt safety strategies based on risk prediction. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] Figure 1 It is a schematic diagram of the process of the safety monitoring method of 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 in the present invention;

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

[0068] Figure 4 A schematic diagram of multiple driving routes to be selected;

[0069] Figure 5Schematic diagram of the first section and the second section.

[0070] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments. DETAILED DESCRIPTION

[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 following description, suffixes such as "unit", "component" or "unit" used to represent elements are only used to facilitate the description of the present invention, and have no specific meanings. Therefore, "unit", "component" or "unit" can be used in a mixed manner.

[0073] See also Figures 1 to 4 In a first embodiment of the present invention, a method for safety monitoring of hazardous chemicals in logistics transportation is provided, comprising the following steps:

[0074] Step S10, the driving data of the monitoring vehicle transporting hazardous chemicals and the monitoring data of hazardous chemicals are recorded in real time and sent to the parallel chain allocated in the blockchain platform, wherein the driving data includes the location, state, speed, direction and driving trajectory of the vehicle, and the monitoring data includes the environmental data acquired 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 a recommended driving route for the monitored vehicle based on 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 vehicles transporting hazardous chemicals and the monitoring data of hazardous chemicals are recorded in real time and sent to the parallel chain allocated in the blockchain platform. Therefore, in each parallel chain of the blockchain platform, multiple monitoring vehicles transporting hazardous chemicals can be supervised at the same time, and the monitoring data can be queried and traced, and tampering can be avoided. Further, the driving data and monitoring data are input into the safety risk prediction model in the parallel chain. Therefore, according to the actual driving data and actual monitoring data of each monitoring vehicle, the transportation risk of each monitoring vehicle can be evaluated separately, and the exclusive evaluation result of each monitoring vehicle can be obtained; further, in the specific transportation process, the driving data and the monitoring data of hazardous chemicals are changing, so that the real-time data at different time periods are respectively input into the safety risk prediction model, and the prediction results obtained may be the same or different, which is conducive to obtaining real-time prediction results with the actual monitoring input data, thereby reflecting the dynamic situation of safety risks. Further, in the process of safety monitoring, the safety monitoring strategy is also calculated, and the safety monitoring strategy is sent to the monitoring vehicle to execute the safety monitoring strategy. Therefore, the technical solution of the present invention will conduct a comprehensive prediction and evaluation of the risks in the specific transportation process, and according to the risk prediction results, it can formulate corresponding safety monitoring strategies to solve the technical problems in the prior art of safety monitoring of the transportation of hazardous chemicals, lack of risk prediction in the specific transportation process, and inability to adopt safety strategies based on risk prediction.

[0079] Blockchain is a distributed database that stores information in linked blocks of data, called blocks. Each block contains a certain number of data records, which are added to the blockchain after verification. The core characteristics of blockchain include decentralization, immutability, and transparency.

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

[0081] The relay chain is the core component of the multi-chain architecture. It connects various parallel chains and provides a unified security and consensus mechanism for the entire system.

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

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

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

[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 vehicle's position exceeds the recommended driving route, the vehicle's speed is less than the minimum speed threshold, the vehicle's speed is greater than the maximum speed threshold, the vehicle's continuous driving trajectory length exceeds the set length, and the preset data collection interval is reached.

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

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

[0089] Step S21, 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;

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

[0091] Step S23, obtaining the current position and target position of the monitoring vehicle, and calculating several candidate driving routes of the monitoring vehicle according to the current position and target position;

[0092] Step S24, taking each position point in each of the to-be-selected driving routes as a center point and taking the avoidance radius as a scanning window, scanning each of the to-be-selected driving routes to obtain a scanning area passed by the scanning window;

[0093] Step S25 , predicting the transportation risk factor of each of the to-be-selected driving routes based on the avoidance areas scanned in the scanning area of ​​each of the to-be-selected driving routes and the traffic volume in the scanning area.

[0094] In this embodiment, the danger level of the monitored vehicle is evaluated based on the type and quantity of hazardous chemicals, driving conditions and monitoring data.

[0095] According to the degree of danger, the avoidance radius of the avoidance area that the monitored vehicle needs to avoid during driving is calculated, where the avoidance area is determined according to the settings, for example, it can be a densely populated area, a water source area that is easily contaminated by hazardous chemicals, a school, etc.

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

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

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

[0099] Step S212, obtaining the current average speed of the monitored vehicle;

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

[0101] Step S214, calculating the danger radius of the monitored vehicle according to the type and quantity of the hazardous chemicals, the current average vehicle speed, the monitored temperature data, the monitored humidity data and the monitored pressure data;

[0102] Step S215, calculating the hazard coefficient and risk level factor of the monitored vehicle according to the types and quantities of hazardous chemicals.

[0103] (1) Calculate the danger radius of the monitored vehicle according to the following formula:

[0104]

[0105] Among them, R is the danger radius of the monitored vehicle, To monitor the current average speed of the vehicle, V0 is the set 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 hazardous chemicals transported by the monitoring vehicle; T i To monitor the temperature correction factor of the i-th hazardous chemical transported by the vehicle, the corresponding temperature correction factor is determined according to the monitored temperature data. The temperature correction factor of hazardous chemicals that are not sensitive to temperature is 1; RH iTo monitor the humidity correction factor of the i-th hazardous chemical transported by the vehicle, the corresponding humidity correction factor is determined according to the monitored humidity data. The humidity correction factor of hazardous chemicals that are not sensitive to humidity is 1; P i To monitor the pressure correction factor of the i-th hazardous chemical transported by the vehicle, the corresponding pressure correction factor is determined according to the monitored pressure data, and the pressure correction factor of the hazardous chemical that is not sensitive to pressure is 1;

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

[0107]

[0108] Among them, X is the risk factor of the monitored vehicle, q i To monitor the actual mass of the i-th hazardous chemical transported by the vehicle, in tons; Q i The set critical mass of the i-th hazardous chemical transported by the monitoring vehicle, in tons;

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

[0110]

[0111] 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 Correction factor for monitoring the transport of the i-th hazardous chemical by vehicle;

[0112] β is determined according to the interval corresponding to the number of permanent residents within the observation radius, where the observation radius is the range of the preset radius extending outward from each position point in the recommended driving route of the monitoring vehicle;

[0113] α i Obtained by looking up the 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, the avoidance area type of the monitored vehicle is calculated according to the following method:

[0118] Determine the type of avoidance area for monitoring vehicles based on the types of hazardous chemicals transported by the monitoring vehicles;

[0119] Specifically, a mapping relationship table between hazardous chemical types and avoidance area types can be established. For example, when the hazardous chemical types include chemicals that pollute water bodies after leakage, or chemicals that react dangerously with water after leakage (for example, toxic chemicals, flammable chemicals, strong acids or strong alkalis), the avoidance area types include rivers, lakes and other water bodies. For another example, when the hazardous chemical types include toxic or explosive hazardous chemicals, the avoidance area types include densely populated areas (for example, towns, residential areas);

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

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

[0122]

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

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

[0125] Step S31, determining whether there is a candidate travel route whose transportation risk factor reaches a set risk factor;

[0126] If yes, executing step S32: sending the candidate driving route with the smallest transportation risk factor as the recommended driving route of the monitoring vehicle to 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 a to-be-selected driving route that reaches the set risk factor among the to-be-selected driving routes, the driver is not allowed to select the driving route by himself. If there is no to-be-selected driving route that reaches the set risk factor among the to-be-selected driving routes, the driver is allowed to select the driving route by himself.

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

[0130] Step S41, calculating the passing time and passing risk corresponding to each avoidance area scanned by the monitored vehicle on the recommended driving route according to the driving data of the monitored vehicle; wherein, passing each avoidance area scanned by the recommended driving route means that the distance from the scanned avoidance area is less than a set distance;

[0131] Step S42, sending the passing time and passing risk corresponding to each scanned avoidance area of ​​the monitored vehicle passing through the recommended driving route to the relay chain of the blockchain platform;

[0132] Step S43, in the relay chain, predicting the intersection time and intersection risk of all monitored vehicles that intersect within the monitoring distance at the same time scale;

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

[0134] The transit risk is calculated as follows:

[0135] D mk =g mk L m +ω mk S mk ;

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

[0137] Calculate the intersection risk as follows:

[0138]

[0139] Among them, J mk is the intersection risk when the mth monitored vehicle intersects with other monitored vehicles in the kth avoidance area, is the maximum average speed of all monitored vehicles that intersect the mth monitored vehicle in the kth avoidance area; L m is the traffic flow per unit length in the route where the mth monitored vehicle is located; ω mk is the unit area risk factor of the mth monitored vehicle passing through the kth avoidance area, S mk It is the area of ​​the avoidance radius that falls within the mth monitored vehicle passing through the kth avoidance area; 1≤m≤M, M is the number of vehicles intersecting in the kth avoidance area.

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

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

[0142] Step S442, setting the first road section as a speed regulation area and setting a maximum speed limit on the second road section;

[0143] Step S443, obtaining the length of the first road section and the length of the second road section, as well as the distribution of the first road section and the second road section, and adjusting the driving speed in the speed regulation area according to the maximum speed limit to avoid the intersection event.

[0144] Specifically, the first road section whose distance from the avoidance area is greater than the avoidance radius is determined by the set of road sections corresponding to the center point where the scanning window that cannot scan the avoidance area is located. Conversely, the second road section whose distance from the avoidance area is within the avoidance radius is determined by the set of road sections corresponding to the center point where the scanning window that scans the avoidance area is located.

[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 more flexible 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 of the monitoring vehicle with other monitoring vehicles.

[0146] In this embodiment, the speed control speed of the first section is determined according to the length of the first section and the length of the second section, and the distribution of the first section and the second section, so that when the length of the first section exceeds the first set length, the first section length is used as a separate first section, and has a more flexible speed control scheme, for example, speed-up control (or speed-down control) can be performed; and when the length of the first section is less than the second set length, the first section is merged into the second section, and speed-up control is not performed, but speed-down control can be performed. The first set length is greater than the second set length.

[0147] See also Figure 5 ,exist Figure 5 In the marked first road section, each scanning window does not scan the avoidance area, so the set of road sections corresponding to the center point of the scanning window is the first road section; Figure 5 In the marked second section, only the set of sections corresponding to the center point of the scanning area 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 method for safety monitoring of hazardous chemicals in logistics transportation of the present invention, in the seventh embodiment of the method for safety monitoring of hazardous chemicals in logistics transportation of the present invention, the method further includes:

[0149] Step S50, obtaining traffic flow data of the first road section to calculate a predicted congestion period when the monitored vehicle passes through the first road section;

[0150] Step S60, adjusting the driving speed of the monitored vehicle according to the predicted congestion period.

[0151] To achieve the above-mentioned purpose, the present invention also proposes a safety management system, which adopts the safety monitoring method of hazardous chemicals in logistics transportation; the safety management system includes a terminal module arranged on a 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 hazardous chemicals to the parallel chain allocated in the blockchain platform, and to obtain the safety monitoring strategy sent by the blockchain platform to the monitoring vehicle.

[0152] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course 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 is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a computer-readable storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes a number of instructions for enabling a terminal device to enter the method described in each embodiment of the present invention.

[0153] In the description of this specification, the description with reference to the terms "an embodiment", "another embodiment", "other embodiments", or "first embodiment to Xth embodiment" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, method steps or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0154] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other 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 advantages or disadvantages of the embodiments.

[0156] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for safety monitoring of hazardous chemicals in logistics transportation, characterized in that: The steps include: The driving data of monitoring vehicles transporting hazardous chemicals and the monitoring data of hazardous chemicals are recorded in real time and sent to the parallel chain allocated in the blockchain platform, wherein the driving data includes the location, status, speed, direction and driving trajectory of the vehicle, and the monitoring data includes the environmental data obtained by the sensor; Inputting the driving data and the monitoring data as input data into the safety risk prediction model in the parallel chain to predict the transportation risk factor; Calculate the recommended driving route for the monitoring vehicle based on the transportation risk factors; Calculate the safety monitoring strategy and send the safety monitoring strategy to the monitoring vehicle.

2. The method for safety monitoring of hazardous chemicals in logistics transportation according to claim 1 is characterized in that: The step of inputting the driving data and the monitoring data as input data into the safety risk prediction model in the parallel chain to predict the transportation risk factor includes: Calculate the hazard radius, hazard coefficient and risk level factor of the monitored vehicle based on the types and quantities of hazardous chemicals transported by the monitored vehicle, as well as driving data and monitoring data; Calculate the avoidance radius of the monitored vehicle based on the danger radius, danger coefficient and risk level factor of the monitored vehicle; Obtaining the current position and target position of the monitoring vehicle, and calculating several candidate driving routes for the monitoring vehicle according to the current position and target position; Taking each position point in each of the candidate driving routes as the center point and the avoidance radius as the scanning window, each of the candidate driving routes is scanned to obtain a scanning area passed by the scanning window; The transportation risk factor of each of the to-be-selected driving routes is predicted according to the avoidance areas scanned in the scanning area of ​​each of the to-be-selected driving routes and the traffic flow in the scanning area.

3. The method for safety monitoring of hazardous chemicals in logistics transportation according to claim 2 is characterized in that: 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, comprises: Obtain the types and quantities of hazardous chemicals transported by monitoring vehicles; Get the current average speed of the monitored vehicle; Obtain monitoring temperature data, monitoring humidity data and monitoring pressure data under the transportation conditions of hazardous chemicals; Calculate the danger radius of the monitored vehicle based on the type and quantity of hazardous chemicals, current average vehicle speed, monitored temperature data, monitored humidity data, and monitored pressure data; Calculate the hazard coefficient and risk level factor of the monitored vehicle based on the types and quantities of hazardous chemicals.

4. The method for safety monitoring of hazardous chemicals in logistics transportation according to claim 2 is characterized in that: The step of calculating the recommended driving route of the monitoring vehicle according to the transportation risk factor comprises: Determine whether there is a candidate travel route whose transportation risk factor reaches the set risk factor; If so, the candidate driving route with the smallest transportation risk factor is sent to the monitoring vehicle as the recommended driving route of the monitoring vehicle; If not, the self-selected driving route received by the monitoring vehicle is obtained as the recommended driving route of the monitoring vehicle.

5. The method for safety monitoring of hazardous chemicals in logistics transportation according to claim 4 is characterized in that: The step of calculating the safety monitoring strategy and sending the safety monitoring strategy to the monitoring vehicle includes: According to the driving data of the monitored vehicle, the passing time and passing risk corresponding to each scanned avoidance area of ​​the monitored vehicle passing through the recommended driving route are calculated; The monitoring vehicle will send the passing time and passing risk corresponding to each scanned avoidance area on the recommended driving route to the relay chain of the blockchain platform; In the relay chain, the intersection time and intersection risk of all monitored vehicles that intersect within the monitoring distance at the same time scale are predicted; According to the intersection time and the intersection risk, before the intersection time, the driving speed of the monitored vehicles that will intersect in the prediction results is adjusted, and the driving speed of the monitored vehicles that will intersect in the prediction results is sent to the corresponding monitoring vehicles to avoid intersection events.

6. The method for safety monitoring of hazardous chemicals in logistics transportation according to claim 5 is characterized in that: The step of adjusting the driving speed of the monitoring vehicles that will intersect in the prediction results before the intersecting time according to the intersecting time and the intersecting risk, and sending the driving speed of the monitoring vehicles that will intersect in the prediction results to the corresponding monitoring vehicles to avoid the intersecting event includes: Acquire a first road section in the recommended driving route whose distance from the avoidance area is greater than the avoidance radius, and a second road section whose distance from the avoidance area is within the avoidance radius; The first section is used as a speed regulation area, and the second section is subject to a maximum speed limit; The length of the first road section and the length of the second road section, as well as the distribution of the first road section and the second road section are obtained, and the driving speed in the speed regulation area is adjusted according to the maximum speed limit to avoid the intersection event.

7. The method for safety monitoring of hazardous chemicals in logistics transportation according to claim 6 is characterized in that: The method further comprises: Obtaining traffic flow data of the first road section to calculate a predicted congestion period when the monitored vehicle passes through the first road section; Adjust the driving speed of monitored vehicles according to predicted congestion periods.

8. The method for safety monitoring of hazardous chemicals in logistics transportation according to claim 3 is characterized by: (1) Calculate the danger radius of the monitored vehicle according to the following formula: Among them, R is the danger radius of the monitored vehicle, To monitor the current average speed of the vehicle, V0 is the set 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 hazardous chemicals transported by the monitoring vehicle; T i To monitor the temperature correction factor of the i-th hazardous chemical transported by the vehicle, the corresponding temperature correction factor is determined according to the monitored temperature data. The temperature correction factor of hazardous chemicals that are not sensitive to temperature is 1; RH i To monitor the humidity correction factor of the i-th hazardous chemical transported by the vehicle, the corresponding humidity correction factor is determined according to the monitored humidity data. The humidity correction factor of hazardous chemicals that are not sensitive to humidity is 1; P i To monitor the pressure correction factor of the i-th hazardous chemical transported by the vehicle, the corresponding pressure correction factor is determined according to the monitored pressure data, and the pressure correction factor of the hazardous chemical that is not sensitive to pressure is 1; (2) Calculate the risk factor of the monitored vehicle according to the following formula: Among them, X is the risk factor of the monitored vehicle, q i To monitor the actual mass of the i-th hazardous chemical transported by the vehicle, in tons; Q i The set critical mass of the i-th hazardous chemical transported by the monitoring 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 Correction factor for monitoring the transport of the i-th hazardous chemical by 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.

9. The method for safety monitoring of hazardous chemicals in logistics transportation according to claim 8, characterized in that: The transportation risk factor of each candidate travel route is calculated as follows: Among them, F j is the transportation risk factor of the jth selected travel route; l j is the length of the jth route to be selected, L j is the average traffic flow per unit length in the jth candidate driving route; ω jk The unit area hazard factor set for the kth avoidance area scanned in the scanning area of ​​the jth to-be-selected driving route is determined according to the type of the avoidance area, 1≤k≤K, K is the number of avoidance areas of the to-be-selected driving route; S jk is the area of ​​the kth avoidance area scanned in the scanning area of ​​the jth to-be-selected driving route.

10. A safety management system, characterized in that: The safety management system adopts the safety monitoring method of hazardous chemicals in logistics transportation described in any one of claims 1 to 9; the safety management system includes a terminal module arranged on a 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 hazardous chemicals to the parallel chain allocated in the blockchain platform, and to obtain the safety monitoring strategy sent from the blockchain platform to the monitoring vehicle.

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