Data monitoring system for logistics transportation and analysis method thereof

Abstract

The invention discloses a data monitoring system for logistics transportation and an analysis method thereof, and relates to the technical field of logistics transportation, and the system comprises a risk screening end, an environment early warning end and an early warning cooperation end. The risk screening end is used for receiving logistics transportation data in real time, and screening and judging whether the data is valid logistics data in real time during data transmission; the environment early warning end is used for acquiring the environment real-time state of logistics transportation in real time and judging whether the logistics transportation is influenced by weather or not in real time in combination with the current environment data; and the early warning cooperation end is used for cooperatively analyzing whether logistics transportation is delayed or not by combining the sudden traffic condition in the logistics transportation process with an environment prediction result, so that the logistics transportation monitoring accuracy is ensured. According to the data monitoring system for logistics transportation and the analysis method thereof, authenticity of logistics transportation and safety and reliability of logistics transportation data monitoring are improved, interference and damage to normal operation of the monitoring system can be reduced, and convenience and information reliability of logistics transportation are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of logistics and transportation, and in particular to a data monitoring system and an analysis method thereof for logistics and transportation. Background Art

[0002] Logistics and transportation is a broad, complex and critical field. It is the physical flow of goods from the supply point to the receiving point. Logistics and transportation refers to the activity of using transportation tools to achieve the spatial displacement of passengers or goods. Its main purpose is to meet customer needs and realize the whole process of planning, implementation and management of raw materials, semi-finished products, finished products and related information from the place of production of goods to the place of consumption of goods through transportation, storage and distribution.

[0003] Application No. CN202310709365.0 discloses a logistics vehicle transportation monitoring and control system based on data analysis. In the present invention, the transportation process of the logistics vehicle is monitored in many aspects through human-vehicle authentication, route comparison, vehicle positioning and in-vehicle environment supervision, thereby improving the overall real-time feedback capabilities and comprehensive monitoring in many aspects of the logistics vehicle monitoring and control system. By collecting the degree of road congestion when the logistics vehicle is driving, the driver can also manually upload the road conditions when passing through the area, thereby combining human feedback with system collection, and judging the congestion of the in-vehicle environment and the product transportation route, the transportation environment of the logistics products during the transportation process is linked to the transportation time, thereby reducing the loss rate during transportation.

[0004] After searching the above patents, it was found that the data monitoring system for logistics transportation still has some shortcomings: 1. During the transmission and storage of data in the process of logistics transportation, it is impossible to quickly screen whether the objects of logistics transportation are effective logistics, and there are problems of false orders or empty packages, which affects the authenticity of logistics transportation, poor management of safety measures, and the risk of data leakage and malicious use; 2. During the logistics transportation process, severe weather conditions such as heavy rain, heavy snow, typhoons, and natural disasters such as earthquakes and floods may interfere with and damage the normal operation of the monitoring system. These environments change in real time, and it is impossible to predict in advance whether there are abnormalities in the logistics transportation process, resulting in uncertainty in logistics transportation; 3. During the logistics transportation process, sudden traffic conditions cause traffic congestion and poor road conditions may lead to transportation delays and abnormal monitoring data, affecting the convenience of logistics transportation.

[0005] Therefore, a data monitoring system and an analysis method for logistics transportation are proposed to solve the above problems. Summary of the invention

[0006] The main purpose of the present invention is to provide a data monitoring system for logistics transportation and an analysis method thereof to solve the problems raised in the above background.

[0007] To achieve the above-mentioned purpose, the technical solution adopted by the present invention is: a data monitoring system for logistics transportation and an analysis method thereof, including a risk screening end, an environmental early warning end and an early warning coordination end; The risk screening end is used to receive logistics and transportation data in real time, and screen and determine whether the data is valid logistics data in real time during data transmission. After the determination, the valid logistics data is encrypted and transmitted in time, invalid logistics data is defined as invalid, the current location of the invalid logistics data is tracked in time, and the real-time status of logistics and transportation is automatically updated; The environmental warning terminal is used to collect the real-time environmental status of logistics transportation in real time, combine the current environmental data to determine whether logistics transportation will be affected by weather in real time, set environmental impact thresholds, and warn in advance of possible interference and uncertainty in logistics transportation; The early warning collaborative terminal is used to combine sudden traffic conditions during logistics transportation with environmental prediction results, collaboratively analyze whether logistics transportation is delayed, ensure the accuracy of logistics transportation monitoring, and make impact judgments based on logistics objects, as well as provide feedback and early warnings for special objects, and perform manual processing in a timely manner.

[0008] The risk screening end includes a logistics and transportation module, a data screening module and a data tracking module; The logistics transportation module includes a transportation selection unit and an order number generation unit; The transport selection unit is used to set the logistics transport mode, which includes air transport, land transport and sea transport, and automatically select the corresponding logistics transport mode; The order number generating unit is used to automatically generate an order number according to the date, serial number and ID of each object through a snowflake algorithm; The data screening module includes a data screening unit and a data determination unit; The data screening unit is used to receive the logistics and transportation data generated at the current moment in real time through the data receiver, and to screen the logistics and transportation data for repetitiveness at the current moment. The screening method is as follows: Substitute the logistics and transportation data of the corresponding serial number into the data screening calculation formula to calculate the similarity rate of the logistics and transportation data of the corresponding serial number. The calculation formula is as follows: ; in, is the similarity rate of the serial number of the logistics transportation data corresponding to the serial number to be screened, For the The similarity rate of the logistics transportation data sequence number of the corresponding selection sequence number, For the The length of the filtered data set for the corresponding sequence number to filter the logistics transportation data is calculated as Filter out those that are equal to 1 and save the calculation results as Logistics transportation data that is not equal to 1. The calculation formula here can check the logistics information of each order number for duplication. If the calculation result is If it is equal to 1, it means that the logistics packages are duplicated or one of them is an empty package. The system will be reported or manual feedback will be processed to confirm the authenticity of the logistics transportation. The data determination unit is used to calculate the data after data screening by a calculation formula, and the calculation formula is as follows: ; in, , is the weight coefficient for data screening, 0≤ ≤1,0≤ ≤1, and + =1, For the Similar values, =1,2,…, , is the number of similar values, is the mean of similar values, Represents similar values ​​after data filtering. If If it is equal to 0, it means that the data filtering data is valid data. If it is not equal to 0, it means that the data filtering data is invalid data.

[0009] The data tracking module includes a valid encryption unit, an invalid tracking unit and a timely update unit; The effective encryption unit is used to encrypt the effective data through Arabic numerals and to obtain double encryption of the effective data through reverse decryption and identification of Arabic numerals; The invalid tracking unit is used to track the real-time position of the invalid data after data screening in real time through a data tracker, and receive the real-time status of the invalid logistics transportation data in real time through a data receiver; The timely updating unit is used to timely update the real-time status of logistics transportation through mobile phone software and computer systems.

[0010] The environmental early warning terminal includes an environmental monitoring module, a transportation interaction module and an environmental early warning module; The environmental monitoring module includes an environmental collection unit and a standard environmental unit; The environmental collection unit is used to create, manage, analyze and map the path area status during the logistics transportation process through GIS, and connect the environmental data of the path area with the map, collect the environmental information of the logistics transportation at the current moment in real time through the environmental monitoring equipment, and integrate the location data of each path area with the environmental information of each area; The standard environment unit is used to set standard environment parameters for normal operation of logistics transportation, and the standard environment parameters include rainfall, temperature, humidity, earthquake, mud-rock flow and landslide.

[0011] The transport interaction module includes a transport judgment unit and an impact threshold unit; The transportation judgment unit is used to judge whether the logistics transportation process will be affected by the environment in combination with the real-time update of the weather forecast during the logistics transportation process. The judgment method is as follows: Step 1: Combine the updated status of weather forecast with the logistics transportation status in real time, and conduct a comprehensive analysis based on the starting time, target location, driving route, transportation environment and transportation mode; Step 2: Substitute the starting time parameters and transportation environment parameters of logistics transportation into the formula in turn to determine the impact, and set the standard starting time parameters and standard transportation environment parameters. The determination formula is as follows: ; in, Indicates the difference between the actual parameters of logistics transportation and the standard parameters. Represents the actual parameter data values ​​of logistics transportation, It represents the average value of the actual parameters and standard parameters of logistics transportation. Indicates the actual number of parameters of logistics transportation. If the difference value is not equal to 0, it means that the logistics transportation process will be affected by the environment. If the difference value is equal to 0, it means that the logistics transportation process will not be affected by the environment. The impact threshold unit is used to set the maximum difference between the standard environmental parameters and the actual environmental parameters.

[0012] The environmental warning module includes an environmental prediction unit and an interference warning unit; The environmental prediction unit is used to calculate the difference between the calculated difference value and the maximum difference value. If the difference is greater than 1, the reporting system will issue an environmental impact warning reminder. If the difference is less than or equal to 1, the impact of environmental parameters on logistics transportation will be ignored, and whether the environmental parameters will have a secondary impact on the normal distribution of logistics transportation will be predicted. The prediction method is as follows: Set standard transportation environment parameters for logistics transportation along the corresponding path, and use earthquake monitoring equipment, landslide monitoring equipment, mud-rock flow monitoring equipment, ground subsidence monitoring equipment, and volcanic eruption monitoring equipment, temperature sensors, humidity sensors, and light sensors to detect the environmental parameters of the corresponding path in real time; The difference between the environmental parameters of the corresponding path and the standard transportation environmental parameters is calculated, with one hour as one cycle. Based on the environmental parameters of the corresponding path in three cycles, it is predicted whether the environmental parameters of the corresponding path in the next cycle will affect the normal distribution of logistics transportation. If at least one of the average values ​​of the environmental parameters of the three cycles exceeds the standard transportation environmental parameters, it means that the normal distribution of logistics transportation will be affected twice. If the average values ​​of the environmental parameters of the three cycles do not exceed the standard transportation environmental parameters, it means that the normal distribution of logistics transportation will not be affected twice. The interference warning unit is used to report the environmental prediction results to the system in real time and issue environmental warning information reminders.

[0013] The early warning collaborative terminal includes an environment receiving module, a traffic update module, a collaborative analysis module and a logistics feedback module; The environment receiving module is used to receive the environment prediction results in the logistics transportation process in real time through a data receiver; The traffic update module includes current traffic units and historical traffic units; The current traffic unit is used to collect the traffic conditions on the corresponding path at the current moment in real time through a data collector, and the traffic conditions include the number of traffic, the nearest contact object, the location of the traffic accident, the estimated handling time of the traffic accident and traffic congestion data; The historical traffic unit is used to receive in real time the traffic conditions on the path corresponding to the historical moment through a data receiver, and the traffic conditions include the traffic quantity, the nearest contact object, the location of the traffic accident, the historical traffic accident processing time and traffic congestion data.

[0014] The collaborative analysis module includes a traffic delay unit, which is used to combine the environmental prediction results and the traffic conditions to collaboratively analyze the delay time of logistics transportation. The analysis method is as follows: Step (1), determine the environmental prediction results and traffic conditions according to the calculation formula and combine them to collaboratively analyze the delay time of logistics transportation. The calculation formula is as follows: ; ; ; in, The time is the time when the traffic state changes suddenly under the corresponding environmental prediction result, T is the traffic time period under the corresponding environmental prediction result, For the corresponding environment prediction results The amount of traffic at the time, For the corresponding environment prediction results The amount of traffic at the time, For the corresponding environment prediction results The amount of traffic at the time, For the corresponding environment prediction results The amount of traffic at the time, is the set delay duration percentage, and represents the delay time of logistics transportation caused by the corresponding traffic quantity under different environmental prediction results; Step (2): When there is a difference between the traffic quantity at the location where the traffic state changes suddenly under the corresponding environmental prediction result and the standard traffic quantity at the corresponding location, it means that the delay time affects the normal operation of logistics transportation.

[0015] The logistics feedback module includes an object impact unit and a special object feedback unit; The object impact unit is used to perform object impact analysis based on the objects corresponding to the order numbers, and analyze the different degrees of impact on different types of objects; The special object feedback unit is used to report system feedback based on frozen objects, fresh objects and urgent objects, and to timely update logistics and transportation information and feedback manual processing.

[0016] A data monitoring and analysis method for logistics transportation includes the following steps: Step 1: Configure the IP address information of the logistics transportation remote control area server; Step 2: Enter the risk screening end, receive data in the logistics transportation process in real time, screen and determine whether it is valid logistics data in real time during data transmission, encrypt and transmit valid logistics data in real time, define invalid logistics data as invalid, and track the current location of invalid logistics data in time; Step 3: Enter the environmental warning terminal, collect the real-time status of the logistics environment in real time, and combine the current environmental data to determine whether the logistics will be affected by the weather in real time, and warn in advance of possible interference and uncertainty in logistics; Step 4: Enter the early warning coordination terminal, combine the sudden traffic conditions during the logistics transportation process with the environmental prediction results, and jointly analyze whether the logistics transportation is delayed, ensure the accuracy of logistics transportation monitoring, and make impact judgments based on logistics objects, and provide feedback and early warnings for special logistics.

[0017] The present invention has the following beneficial effects: 1. In the present invention, by setting up a risk screening terminal, when monitoring logistics transportation data, by real-time screening of valid and invalid logistics data, and invalid definition of invalid logistics data, the transmission and storage of data in the logistics transportation process can be ensured to be true and valid, thereby increasing the authenticity of logistics transportation and the safety and reliability of logistics transportation data monitoring, and reducing the risk of data leakage and malicious use in the logistics transportation process.

[0018] 2. In the present invention, by setting up an environmental early warning terminal, when monitoring logistics and transportation data, it is determined whether the logistics and transportation will be affected by the weather by combining the current environmental data, and early warning of possible interference and uncertainty in the logistics and transportation can be given. When encountering severe weather conditions, it can also reduce interference and damage to the normal operation of the monitoring system and reduce the uncertainty in logistics and transportation.

[0019] 3. In the present invention, by setting up an early warning collaborative terminal, when monitoring logistics and transportation data, by combining the sudden traffic conditions in the logistics and transportation process with the environmental prediction results, a collaborative analysis is made as to whether the logistics and transportation are delayed or have a bad impact, and the impact is judged in combination with the logistics objects, so that the sudden traffic conditions that cause traffic congestion can be combined with the environmental early warning information, further improving the judgment of logistics and transportation delays and abnormalities in monitoring data, and increasing the convenience of logistics and transportation and the reliability of information. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 A schematic diagram of a data monitoring system for logistics transportation and an analysis method thereof according to the present invention; Figure 2 It is a schematic diagram of the architecture of a risk screening end of a data monitoring system for logistics transportation and an analysis method thereof according to the present invention; Figure 3 A schematic diagram of the structure of an environmental warning terminal of a data monitoring system and an analysis method for logistics transportation according to the present invention; Figure 4 The present invention is a schematic diagram of the architecture of a data monitoring system for logistics transportation and an early warning coordination end of an analysis method thereof. DETAILED DESCRIPTION

[0021] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0022] Embodiment 1 Please refer to Figure 1 to Figure 2 As shown: A data monitoring system for logistics transportation and an analysis method thereof, including a risk screening end, an environmental early warning end and an early warning coordination end; The risk screening end is used to receive logistics and transportation data in real time, and screen and determine whether the data is valid during data transmission. After the determination, the valid logistics data is encrypted and transmitted in time, invalid logistics data is defined as invalid, the current location of invalid logistics data is tracked in time, and the real-time status of logistics and transportation is automatically updated; The environmental early warning terminal is used to collect the real-time environmental status of logistics transportation in real time, and combine the current environmental data to determine whether logistics transportation will be affected by weather in real time, set environmental impact thresholds, and warn in advance of possible interference and uncertainty in logistics transportation; The early warning collaboration terminal is used to combine sudden traffic conditions during logistics transportation with environmental prediction results, collaboratively analyze whether logistics transportation is delayed, ensure the accuracy of logistics transportation monitoring, make impact judgments based on logistics objects, provide feedback and early warnings for special objects, and perform manual processing in a timely manner.

[0023] The risk screening end includes logistics and transportation module, data screening module and data tracking module; The logistics and transportation module includes a transportation selection unit and an order number generation unit; The transport selection unit is used to set the logistics transport mode, which includes air transport, land transport and sea transport, and automatically select the corresponding logistics transport mode. After selecting the logistics transport mode, the following schemes can be used to realize the logistics transport judgment and prediction of different transport modes, so that the data monitoring of logistics transport is applicable to multiple logistics transport modes; The order number generation unit is used to automatically generate order numbers according to the date, serial number and ID of each object through a snowflake algorithm; The data screening module includes a data screening unit and a data determination unit; The data screening unit is used to receive the logistics and transportation data generated at the current moment in real time through the data receiver, and to screen the data for the repetitiveness of the logistics and transportation data at the current moment. The screening method is as follows: Substitute the logistics and transportation data of the corresponding serial number into the data screening calculation formula to calculate the similarity rate of the logistics and transportation data of the corresponding serial number. The calculation formula is as follows: ; in, is the similarity rate of the serial number of the logistics transportation data corresponding to the serial number to be screened, For the The similarity rate of the logistics transportation data sequence number of the corresponding selection sequence number, For the The length of the filtered data set for the corresponding sequence number to filter the logistics transportation data is calculated as Filter out those that are equal to 1 and save the calculation results as Logistics and transportation data not equal to 1; The data determination unit is used to recalculate the data after data screening through a calculation formula. The calculation formula is as follows: ; in, , is the weight coefficient for data screening, 0≤ ≤1,0≤ ≤1, and + =1, For the Similar values, =1,2,…, , is the number of similar values, is the mean of similar values, Represents similar values ​​after data filtering. If If it is equal to 0, it means that the data filtering data is valid data. If it is not equal to 0, it means that the data filtering data is invalid data.

[0024] The data tracking module includes a valid encryption unit, an invalid tracking unit and a timely update unit; The effective encryption unit is used to encrypt the effective data through Arabic numerals, and obtain the double encryption of the effective data through Arabic numerals reverse decryption identification, and screen the effective and invalid data of the logistics in real time during data transmission. After the data is determined, the effective logistics data is encrypted and transmitted in time, and the invalid logistics data is defined as invalid, so that the transmission and storage of data in the logistics transportation process can be ensured to be true and effective; The invalid tracking unit is used to track the real-time location of the invalid data after data screening through the data tracker, and receive the real-time status of the invalid logistics transportation data through the data receiver; The timely update unit is used to timely update the real-time status of logistics transportation through mobile phone software and computer systems, increase the authenticity of logistics transportation and the security and reliability of logistics transportation data monitoring, and reduce the risk of data leakage and malicious use in the logistics transportation process through real-time tracking of invalid data.

[0025] Embodiment 2 Please refer to Figure 3 As shown: Based on the first embodiment, the environmental warning terminal includes an environmental monitoring module, a transportation interaction module and an environmental warning module; The environmental monitoring module includes an environmental acquisition unit and a standard environmental unit; The environmental collection unit is used to create, manage, analyze and draw the path area status during the logistics transportation process through GIS, and connect the environmental data of the path area with the map. It collects the environmental information of the current logistics transportation in real time through environmental monitoring equipment, and integrates the location data of each path area with the environmental information of each area. The standard environmental unit is used to set the standard environmental parameters for the normal operation of logistics and transportation. The standard environmental parameters include rainfall, temperature, humidity, earthquakes, mudslides and landslides.

[0026] The transport interaction module includes a transport judgment unit and an impact threshold unit; The transportation judgment unit is used to judge whether the logistics transportation process will be affected by the environment in combination with the real-time update of the weather forecast during the logistics transportation process. The judgment method is as follows: Step 1: Combine the updated status of weather forecast with the logistics transportation status in real time, and conduct a comprehensive analysis based on the starting time, target location, driving route, transportation environment and transportation mode; Step 2: Substitute the starting time parameters and transportation environment parameters of logistics transportation into the formula in turn to determine the impact, and set the standard starting time parameters and standard transportation environment parameters. The determination formula is as follows: ; in, Indicates the difference between the actual parameters of logistics transportation and the standard parameters. Represents the actual parameter data values ​​of logistics transportation, It represents the average value of the actual parameters and standard parameters of logistics transportation. Indicates the actual number of parameters of logistics transportation. If the difference value is not equal to 0, it means that the logistics transportation process will be affected by the environment. If the difference value is equal to 0, it means that the logistics transportation process will not be affected by the environment. The impact threshold unit is used to set the maximum difference between the standard environmental parameters and the actual environmental parameters, and to determine whether logistics and transportation will be affected by the weather in combination with the current environmental data, and to set the standard threshold for the impact of the environment on logistics and transportation, so as to provide early warning of possible interference and uncertainty in logistics and transportation.

[0027] The environmental warning module includes an environmental prediction unit and an interference warning unit; The environmental prediction unit is used to calculate the difference between the calculated difference value and the maximum difference value. If the difference is greater than 1, the reporting system will issue an environmental impact warning reminder. If the difference is less than or equal to 1, the impact of environmental parameters on logistics and transportation will be ignored, and it is predicted whether the environmental parameters will have a secondary impact on the normal distribution of logistics and transportation. The prediction method is as follows: Set standard transportation environment parameters for logistics transportation along the corresponding path, and use earthquake monitoring equipment, landslide monitoring equipment, mud-rock flow monitoring equipment, ground subsidence monitoring equipment, and volcanic eruption monitoring equipment, temperature sensors, humidity sensors, and light sensors to detect the environmental parameters of the corresponding path in real time; The difference between the environmental parameters of the corresponding path and the standard transportation environmental parameters is calculated, with one hour as one cycle. Based on the environmental parameters of the corresponding path in three cycles, it is predicted whether the environmental parameters of the corresponding path in the next cycle will affect the normal distribution of logistics transportation. If at least one of the average values ​​of the environmental parameters of the three cycles exceeds the standard transportation environmental parameters, it means that the normal distribution of logistics transportation will be affected twice. If the average values ​​of the environmental parameters of the three cycles do not exceed the standard transportation environmental parameters, it means that the normal distribution of logistics transportation will not be affected twice. The interference warning unit is used to report environmental prediction results to the system in real time and issue environmental warning information reminders. When encountering severe weather conditions, it can also reduce interference and damage to the normal operation of the monitoring system. These environmental changes in real time can predict in advance whether there are any abnormalities in the logistics transportation process, thereby reducing the uncertainty in logistics transportation.

[0028] Embodiment 3 Please refer to Figure 4 As shown: Based on the first embodiment, the early warning collaboration terminal includes an environment receiving module, a traffic update module, a collaborative analysis module and a logistics feedback module; The environment receiving module is used to receive the environment prediction results in the logistics transportation process in real time through the data receiver; The traffic update module includes current traffic units and historical traffic units; The current traffic unit is used to collect the traffic conditions on the corresponding path at the current moment in real time through a data collector. The traffic conditions include the number of traffic, the nearest contact object, the location of the traffic accident, the estimated handling time of the traffic accident and traffic congestion data; The historical traffic unit is used to receive the traffic conditions on the corresponding path at the historical moment in real time through the data receiver. The traffic conditions include traffic volume, recent contact objects, location of traffic accidents, historical traffic accident processing time and traffic congestion data. By combining the sudden traffic conditions in the logistics transportation process with the environmental prediction results, a collaborative analysis is conducted to determine whether the logistics transportation is delayed or has a severe impact, which can further ensure the timeliness of logistics transportation distribution and the accuracy of data monitoring.

[0029] The collaborative analysis module includes a traffic delay unit, which is used to combine environmental prediction results and traffic conditions to collaboratively analyze the delay duration of logistics transportation. The analysis method is as follows: Step (1), determine the environmental prediction results and traffic conditions according to the calculation formula and combine them to collaboratively analyze the delay time of logistics transportation. The calculation formula is as follows: ; ; ; in, The time is the time when the traffic state changes suddenly under the corresponding environmental prediction result, T is the traffic time period under the corresponding environmental prediction result, For the corresponding environment prediction results The amount of traffic at the time, For the corresponding environment prediction results The amount of traffic at the time, For the corresponding environment prediction results The amount of traffic at the time, For the corresponding environment prediction results The amount of traffic at the time, is the set delay duration percentage, and are the delay time of logistics transportation caused by the corresponding traffic quantity under different environmental prediction results. The corresponding environmental prediction results are different, that is, If it means rainy day, It means snowing day; Indicates the corresponding traffic quantity under rainy conditions, It is expressed as the corresponding traffic quantity under snowy conditions, indicating the delay time of logistics transportation under two different environmental conditions). Here, it is the delay time of logistics transportation combined with the early warning information of the environment under the traffic grammar condition, which increases the distribution accuracy of logistics transportation; Step (2), when there is a difference between the traffic quantity at the location where the traffic state suddenly changes under the corresponding environmental prediction result and the standard traffic quantity at the corresponding location, it means that the delay time affects the normal operation of logistics transportation. The impact judgment is made in combination with the logistics objects, so that in the process of logistics transportation, the sudden traffic conditions that cause traffic congestion can be combined with environmental warning information, further improving the judgment of logistics transportation delays and abnormal monitoring data, and increasing the convenience of logistics transportation and information reliability.

[0030] The logistics feedback module includes object impact unit and special object feedback unit; The object impact unit is used to perform object impact analysis based on the objects corresponding to the order number, analyze the different degrees of impact on different types of objects, and calculate the difference between the melting time of the ice pack in the logistics order and the delay time. If the difference is less than or equal to 0, it means that the normal delivery of the object is affected. If the difference is greater than 0, it means that there is no impact on the normal delivery of the object. The special object feedback unit is used to report system feedback based on frozen objects, fresh objects and urgent objects. It analyzes in real time whether the delay has an impact on the delivery of the objects, and reports to the system in a timely manner to ensure the safety and reliability of the delivery and transportation of special objects, and to timely update the logistics and transportation information and feedback manual processing.

[0031] In the present invention, a data monitoring system for logistics transportation and its analysis method are provided. When the system is in operation, it is not limited to the use of vehicles on the road, but also includes the use of logistics transportation data monitoring of trains, ships and cargo planes. At the same time, the data monitoring system for logistics transportation in the present invention is not limited to land logistics transportation, but also includes sea and air transportation. Specifically, the IP address information of the remote control area server of the logistics transportation is first configured; enter the risk screening end, receive the data in the logistics transportation process in real time, and screen and determine whether it is valid logistics data in real time during data transmission, encrypt and transmit the valid logistics data in real time, and define the invalid logistics data as invalid, and track the current location of the invalid logistics data in time, and conduct logistics When monitoring logistics transportation data, data is transmitted by receiving logistics transportation data in real time, and valid and invalid logistics data are screened in real time during data transmission. After data judgment, valid logistics data is encrypted and transmitted in time, and invalid logistics data is defined as invalid, so that the transmission and storage of data in the logistics transportation process can ensure authenticity and validity, avoid the occurrence of false orders or empty packages, increase the authenticity of logistics transportation and the security and reliability of logistics transportation data monitoring, and reduce the risk of data leakage and malicious use in the logistics transportation process through real-time tracking of invalid data; enter the environmental early warning end, collect the real-time environmental status of logistics transportation in real time, and combine the current environmental data to judge in real time whether logistics transportation will Affected by the weather, early warning may cause interference and uncertainty to logistics and transportation. When monitoring logistics and transportation data, real-time environmental data of logistics and transportation is collected in real time, and combined with current environmental data to determine whether logistics and transportation will be affected by weather, and set standard thresholds for environmental impacts on logistics and transportation. Early warning may cause interference and uncertainty to logistics and transportation, so that the data monitoring system can reduce interference and damage to the normal operation of the monitoring system when encountering severe weather conditions during the logistics and transportation process. These real-time environmental changes can predict in advance whether there are abnormalities in the logistics and transportation process, reducing the uncertainty in logistics and transportation; enter the early warning coordination end, and the sudden changes in the logistics and transportation process will be Traffic conditions are combined with environmental prediction results to jointly analyze whether logistics transportation is delayed, ensure the accuracy of logistics transportation monitoring, and make impact judgments based on logistics objects, and provide feedback and early warnings for special logistics. When monitoring logistics transportation data, sudden traffic conditions during logistics transportation are combined with environmental prediction results to jointly analyze whether logistics transportation is delayed or has a bad impact. This can further ensure the timeliness of logistics transportation distribution and the accuracy of data monitoring, and make impact judgments based on logistics objects. During logistics transportation, sudden traffic conditions that cause traffic congestion can be combined with environmental warning information to further improve the judgment of logistics transportation delays and abnormal monitoring data, and increase the convenience of logistics transportation and the reliability of information.

[0032] A data monitoring and analysis method for logistics transportation includes the following steps: Step 1: Configure the IP address information of the logistics transportation remote control area server; Step 2: Enter the risk screening end, receive data in the logistics transportation process in real time, screen and determine whether it is valid logistics data in real time during data transmission, encrypt and transmit valid logistics data in real time, define invalid logistics data as invalid, and track the current location of invalid logistics data in time; Step 3: Enter the environmental warning terminal, collect the real-time status of the logistics environment in real time, and combine the current environmental data to determine whether the logistics will be affected by the weather in real time, and warn in advance of possible interference and uncertainty in logistics; Step 4: Enter the early warning coordination terminal, combine the sudden traffic conditions during the logistics transportation process with the environmental prediction results, and jointly analyze whether the logistics transportation is delayed, ensure the accuracy of logistics transportation monitoring, and make impact judgments based on logistics objects, and provide feedback and early warnings for special logistics.

[0033] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A data monitoring system for logistics transportation, characterized in that: The system includes a risk screening terminal, an environmental early warning terminal and an early warning coordination terminal; The risk screening end is used to receive logistics and transportation data in real time, and screen and determine whether the data is valid logistics data in real time during data transmission. After the determination, the valid logistics data is encrypted and transmitted in time, invalid logistics data is defined as invalid, the current location of the invalid logistics data is tracked in time, and the real-time status of logistics and transportation is automatically updated; The environmental warning terminal is used to collect the real-time environmental status of logistics transportation in real time, combine the current environmental data to determine whether logistics transportation will be affected by weather in real time, set environmental impact thresholds, and warn in advance of possible interference and uncertainty in logistics transportation; The early warning collaborative terminal is used to combine sudden traffic conditions during logistics transportation with environmental prediction results, collaboratively analyze whether logistics transportation is delayed, ensure the accuracy of logistics transportation monitoring, and make impact judgments based on logistics objects, as well as provide feedback and early warnings for special objects, and perform manual processing in a timely manner.

2. The system according to claim 1, characterized in that: The risk screening end includes a logistics and transportation module, a data screening module and a data tracking module; The logistics transportation module includes a transportation selection unit and an order number generation unit; The transport selection unit is used to set the logistics transport mode, which includes air transport, land transport and sea transport, and automatically select the corresponding logistics transport mode; The order number generating unit is used to automatically generate an order number according to the date, serial number and ID of each object through a snowflake algorithm; The data screening module includes a data screening unit and a data determination unit; The data screening unit is used to receive the logistics and transportation data generated at the current moment in real time through the data receiver, and to screen the logistics and transportation data for repetitiveness at the current moment. The screening method is as follows: Substitute the logistics and transportation data of the corresponding serial number into the data screening calculation formula to calculate the similarity rate of the logistics and transportation data of the corresponding serial number. The calculation formula is as follows: ； in, is the similarity rate of the serial number of the logistics transportation data corresponding to the serial number to be screened, For the The similarity rate of the logistics transportation data sequence number of the corresponding selection sequence number, For the The length of the filtered data set for the corresponding sequence number to filter the logistics transportation data is calculated as Filter out those that are equal to 1 and save the calculation results as Logistics and transportation data not equal to 1; The data determination unit is used to calculate the data after data screening by a calculation formula, and the calculation formula is as follows: ； in, , is the weight coefficient for data screening, 0≤ ≤1,0≤ ≤1, and + =1, For the Similar values, =1,2,…, , is the number of similar values, is the mean of similar values, Represents similar values ​​after data filtering. If If it is equal to 0, it means that the data filtering data is valid data. If it is not equal to 0, it means that the data filtering data is invalid data.

3. The system according to claim 2, characterized in that: The data tracking module includes a valid encryption unit, an invalid tracking unit and a timely update unit; The effective encryption unit is used to encrypt the effective data through Arabic numerals and to obtain double encryption of the effective data through reverse decryption and identification of Arabic numerals; The invalid tracking unit is used to track the real-time position of the invalid data after data screening in real time through a data tracker, and receive the real-time status of the invalid logistics transportation data in real time through a data receiver; The timely updating unit is used to timely update the real-time status of logistics transportation through mobile phone software and computer systems.

4. The system according to claim 1, characterized in that: The environmental early warning terminal includes an environmental monitoring module, a transportation interaction module and an environmental early warning module; The environmental monitoring module includes an environmental collection unit and a standard environmental unit; The environmental collection unit is used to create, manage, analyze and map the path area status during the logistics transportation process through GIS, and connect the environmental data of the path area with the map, collect the environmental information of the logistics transportation at the current moment in real time through the environmental monitoring equipment, and integrate the location data of each path area with the environmental information of each area; The standard environment unit is used to set standard environment parameters for normal operation of logistics transportation, and the standard environment parameters include rainfall, temperature, humidity, earthquake, mud-rock flow and landslide.

5. The system according to claim 4, characterized in that: The transport interaction module includes a transport judgment unit and an impact threshold unit; The transportation judgment unit is used to judge whether the logistics transportation process will be affected by the environment in combination with the real-time update of the weather forecast during the logistics transportation process. The judgment method is as follows: Step 1: Combine the updated status of weather forecast with the logistics transportation status in real time, and conduct a comprehensive analysis based on the starting time, target location, driving route, transportation environment and transportation mode; Step 2: Substitute the starting time parameters and transportation environment parameters of logistics transportation into the formula in turn to determine the impact, and set the standard starting time parameters and standard transportation environment parameters. The determination formula is as follows: ； in, Indicates the difference between the actual parameters of logistics transportation and the standard parameters. Represents the actual parameter data values ​​of logistics transportation, It represents the average value of the actual parameters and standard parameters of logistics transportation. Indicates the actual number of parameters of logistics transportation. If the difference value is not equal to 0, it means that the logistics transportation process will be affected by the environment. If the difference value is equal to 0, it means that the logistics transportation process will not be affected by the environment. The impact threshold unit is used to set the maximum difference between the standard environmental parameters and the actual environmental parameters.

6. The system according to claim 5, characterized in that: The environmental warning module includes an environmental prediction unit and an interference warning unit; The environmental prediction unit is used to calculate the difference between the calculated difference value and the maximum difference value. If the difference is greater than 1, the reporting system will issue an environmental impact warning reminder. If the difference is less than or equal to 1, the impact of environmental parameters on logistics transportation will be ignored, and whether the environmental parameters will have a secondary impact on the normal distribution of logistics transportation will be predicted. The prediction method is as follows: Set standard transportation environment parameters for logistics transportation along the corresponding path, and use earthquake monitoring equipment, landslide monitoring equipment, mud-rock flow monitoring equipment, ground subsidence monitoring equipment, and volcanic eruption monitoring equipment, temperature sensors, humidity sensors, and light sensors to detect the environmental parameters of the corresponding path in real time; The difference between the environmental parameters of the corresponding path and the standard transportation environmental parameters is calculated, with one hour as one cycle. Based on the environmental parameters of the corresponding path in three cycles, it is predicted whether the environmental parameters of the corresponding path in the next cycle will affect the normal distribution of logistics transportation. If at least one of the average values ​​of the environmental parameters of the three cycles exceeds the standard transportation environmental parameters, it means that the normal distribution of logistics transportation will be affected twice. If the average values ​​of the environmental parameters of the three cycles do not exceed the standard transportation environmental parameters, it means that the normal distribution of logistics transportation will not be affected twice. The interference warning unit is used to report the environmental prediction results to the system in real time and issue environmental warning information reminders.

7. The system according to claim 1, characterized in that: The early warning collaborative terminal includes an environment receiving module, a traffic update module, a collaborative analysis module and a logistics feedback module; The environment receiving module is used to receive the environment prediction results in the logistics transportation process in real time through a data receiver; The traffic update module includes current traffic units and historical traffic units; The current traffic unit is used to collect the traffic conditions on the corresponding path at the current moment in real time through a data collector, and the traffic conditions include the number of traffic, the nearest contact object, the location of the traffic accident, the estimated handling time of the traffic accident and traffic congestion data; The historical traffic unit is used to receive in real time the traffic conditions on the path corresponding to the historical moment through a data receiver, and the traffic conditions include the traffic quantity, the nearest contact object, the location of the traffic accident, the historical traffic accident processing time and traffic congestion data.

8. The system according to claim 7, characterized in that: The collaborative analysis module includes a traffic delay unit, which is used to combine the environmental prediction results and the traffic conditions to collaboratively analyze the delay time of logistics transportation. The analysis method is as follows: Step (1), determine the environmental prediction results and traffic conditions according to the calculation formula and combine them to collaboratively analyze the delay time of logistics transportation. The calculation formula is as follows: ； ； ； in, The time is the time when the traffic state changes suddenly under the corresponding environmental prediction result, T is the traffic time period under the corresponding environmental prediction result, For the corresponding environment prediction results The amount of traffic at the time, For the corresponding environment prediction results The amount of traffic at the time, For the corresponding environment prediction results The amount of traffic at the time, For the corresponding environment prediction results The amount of traffic at the time, is the set delay duration percentage, and represents the delay time of logistics transportation caused by the corresponding traffic quantity under different environmental prediction results; Step (2): When there is a difference between the traffic quantity at the location where the traffic state changes suddenly under the corresponding environmental prediction result and the standard traffic quantity at the corresponding location, it means that the delay time affects the normal operation of logistics transportation.

9. The system according to claim 8, characterized in that: The logistics feedback module includes an object impact unit and a special object feedback unit; The object impact unit is used to perform object impact analysis based on the objects corresponding to the order numbers, and analyze the different degrees of impact on different types of objects; The special object feedback unit is used to report system feedback based on frozen objects, fresh objects and urgent objects, and to timely update logistics and transportation information and feedback manual processing.

10. A data monitoring and analysis method for logistics transportation, used in a data monitoring system for logistics transportation as claimed in any one of claims 1 to 9, characterized in that: The following steps are involved: Step 1: Configure the IP address information of the logistics transportation remote control area server; Step 2: Enter the risk screening end, receive data in the logistics transportation process in real time, screen and determine whether it is valid logistics data in real time during data transmission, encrypt and transmit valid logistics data in real time, define invalid logistics data as invalid, and track the current location of invalid logistics data in time; Step 3: Enter the environmental warning terminal, collect the real-time status of the logistics environment in real time, and combine the current environmental data to determine whether the logistics will be affected by the weather in real time, and warn in advance of possible interference and uncertainty in logistics; Step 4: Enter the early warning coordination terminal, combine the sudden traffic conditions during the logistics transportation process with the environmental prediction results, and jointly analyze whether the logistics transportation is delayed, ensure the accuracy of logistics transportation monitoring, and make impact judgments based on logistics objects, and provide feedback and early warnings for special logistics.

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