Wharf logistics business object processing method and system based on Internet of Things

Abstract

The invention discloses a wharf logistics business object processing method and system based on the Internet of Things, and belongs to the technical field of wharf logistics, and the method comprises the following steps: S1, collecting the real-time data of a wharf logistics business object; s2, preprocessing the real-time data of the wharf logistics business object, analyzing the real-time data of the wharf logistics business object, and determining a processing analysis result of the wharf logistics business object; and S3, carrying out intelligent processing management and control on the wharf logistics business object, and carrying out intelligent scheduling management on goods, vehicles, equipment and personnel in the wharf logistics business. According to the invention, the problem that the existing wharf logistics business object cannot be effectively processed and is difficult to effectively dispatch and manage is solved. The system can effectively process the logistics business objects of the wharf, can grasp the states of goods, vehicles and equipment in real time, can carry out effective scheduling and management, and is equipped with an effective safety monitoring and early warning mechanism, so that potential safety hazards are easy to find and process in time.

Description

Technical Field

[0001] The present invention relates to the technical field of terminal logistics, and in particular to a terminal logistics business object processing method and system based on the Internet of Things. Background Art

[0002] Port logistics refers to the central port city using its own port advantages, relying on advanced hardware and software environment, strengthening its radiation capacity to the logistics activities around the port, highlighting the port's specialties in cargo collection, storage, and distribution, based on the port industry, supported by information technology, and aiming to optimize port resource integration, and developing a comprehensive port service system with characteristics covering all links of the logistics industry chain. Port logistics is a comprehensive logistics system in a special form. It is an irreplaceable and important node in the logistics process, completing the basic logistics services and derived value-added services in the entire supply chain logistics system. With the continuous development and application of Internet of Things technology, its application in the field of port logistics is becoming increasingly popular and in-depth.

[0003] The Chinese patent with publication number CN114117657A discloses a modeling device and method for a container terminal logistics system based on digital twins. When the terminal is in use, the keyboard can be automatically retracted and stored, without the need for external connection and manual retraction of the keyboard, thereby improving the use effect; it is convenient to quickly move the terminal without manual handling, thereby improving the movement efficiency, reducing the labor burden and improving work efficiency; however, the patent has the following defects: Existing technologies cannot effectively handle terminal logistics business objects, cannot grasp the status of goods, vehicles, and equipment in real time, and are difficult to effectively dispatch and manage. There is a lack of effective safety monitoring and early warning mechanisms, and safety hazards are difficult to discover and deal with in a timely manner. Summary of the invention

[0004] The purpose of the present invention is to provide a method and system for processing terminal logistics business objects based on the Internet of Things, which can effectively process terminal logistics business objects, grasp the status of goods, vehicles and equipment in real time, and can effectively dispatch and manage them. It is equipped with an effective safety monitoring and early warning mechanism, so that safety hazards can be easily discovered and handled in time, solving the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions: The terminal logistics business object processing method based on the Internet of Things includes: Collecting real-time data of terminal logistics business objects and transmitting them wirelessly, wherein the transmission power of the wireless transmission is enhanced and adjusted by using the quantitative relationship between the first ratio data, the second ratio data and the wireless signal attenuation rate; Preprocess and analyze the real-time data of terminal logistics business objects to determine the processing and analysis results of terminal logistics business objects; Formulate an intelligent management plan for terminal logistics business objects and conduct intelligent processing and control of terminal logistics business objects.

[0006] Preferably, collect the real-time data of terminal logistics business objects and perform the following operations: Apply Internet of Things technology to monitor the cargo identification, cargo location, and cargo status in terminal logistics operations in real time based on RFID tags and sensors, and collect the cargo data of terminal logistics business objects; Apply Internet of Things technology to monitor the vehicle location and vehicle status in terminal logistics operations in real time based on GPS and sensors, and collect the vehicle data of terminal logistics business objects; Apply Internet of Things technology to monitor the equipment parameters and equipment status in terminal logistics operations in real time based on sensors, and collect the equipment data of terminal logistics business objects; Apply Internet of Things technology to monitor the personnel location and personnel identity in terminal logistics operations in real time based on GPS and cameras, and collect the personnel data of terminal logistics business objects; Among them, based on the cargo data, vehicle data, equipment data, and personnel data of terminal logistics business objects, determine the real-time data of terminal logistics business objects based on the Internet of Things.

[0007] Preferably, preprocess the real-time data of terminal logistics business objects and perform the following operations: Based on the Pandas tool, clean the real-time data of terminal logistics business objects based on the Internet of Things; Among them, check the real-time data of terminal logistics business objects based on the Internet of Things, and identify the duplicate values, missing values, and outliers contained in the real-time data of terminal logistics business objects based on the Internet of Things; For the duplicate values contained in the real-time data of terminal logistics business objects based on the Internet of Things, delete the duplicate values; for the missing values contained in the real-time data of terminal logistics business objects based on the Internet of Things, select the method of deletion, filling, or interpolation to handle the missing values according to the situation; for the outliers contained in the real-time data of terminal logistics business objects based on the Internet of Things, select the method of deletion or correction to handle the outliers according to the situation; Based on the SSIS tool, integrate the real-time data of terminal logistics business objects based on the Internet of Things; Among them, the real-time data of terminal logistics business objects based on the Internet of Things is integrated, and the real-time data of terminal logistics business objects based on the Internet of Things from different sources is integrated into a unified data view, and the real-time data of the integrated terminal logistics business objects is associated according to the terminal logistics business logic.

[0008] Preferably, preprocess the real-time data of terminal logistics business objects and also perform the following operations: Based on the Talend tool, convert the real-time data of terminal logistics business objects based on the Internet of Things; Among them, unify the real-time data of terminal logistics business objects based on the Internet of Things, remove the dimensional differences between the real-time data of terminal logistics business objects based on the Internet of Things, determine the standardized real-time data of terminal logistics business objects, and securely store the standardized real-time data of terminal logistics business objects, and store the standardized real-time data of terminal logistics business objects in the database.

[0009] Preferably, analyze the real-time data of terminal logistics business objects and perform the following operations: According to the processing requirements of terminal logistics business objects, preset the standard data of terminal logistics business objects in advance, and store the preset standard data of terminal logistics business objects for standby; Based on the standard data of terminal logistics business objects, analyze the real-time data of terminal logistics business objects to determine the processing and analysis results of terminal logistics business objects; Among them, if the real-time data of terminal logistics business objects is within the range of the standard data of terminal logistics business objects, the processing and analysis result of terminal logistics business objects is that there is no abnormal behavior of terminal logistics business objects; Among them, if the real-time data of terminal logistics business objects is not within the range of the standard data of terminal logistics business objects, the processing and analysis result of terminal logistics business objects is that there is an abnormal behavior of terminal logistics business objects.

[0010] Preferably, formulate an intelligent management plan for terminal logistics business objects and perform the following operations: Based on the processing and analysis results of terminal logistics business objects, conduct timely safety warnings on the risk situations of terminal logistics business objects to alert terminal logistics management personnel, analyze the real-time data of terminal logistics business objects, formulate an intelligent management plan for terminal logistics business objects, and conduct intelligent processing and control on terminal logistics business objects according to the intelligent management plan for terminal logistics business objects.

[0011] Preferably, conduct intelligent processing and control on terminal logistics business objects and perform the following operations: Based on the cargo data of the terminal logistics business object, the vehicle data of the terminal logistics business object, the equipment data of the terminal logistics business object, and the personnel data of the terminal logistics business object, intelligent scheduling management of the cargo, vehicle, equipment, and personnel in the terminal logistics business is carried out to optimize resource allocation; Among them, intelligent scheduling is carried out according to the vehicle position, combined with the cargo and road conditions, and intelligent scheduling of the vehicle and personnel is carried out according to the cargo identification and cargo position.

[0012] According to another aspect of the present invention, a terminal logistics business object processing system based on the Internet of Things is provided for implementing the above-mentioned terminal logistics business object processing method based on the Internet of Things, including: A perception and acquisition device for collecting real-time data of terminal logistics business objects; A wireless transmission unit for remotely transmitting the collected real-time data of terminal logistics business objects to the processing and control platform based on wireless transmission technology; A processing and control platform for processing and controlling the real-time data of terminal logistics business objects to achieve intelligent management of terminal logistics business; Among them, the processing and control platform includes: A preprocessing and analysis module for preprocessing and analyzing the real-time data of terminal logistics business objects to determine the processing and analysis results of terminal logistics business objects; A terminal logistics management module for formulating an intelligent management plan for terminal logistics business objects based on the processing and analysis results of terminal logistics business objects and performing intelligent processing and control on terminal logistics business objects.

[0013] Preferably, the operation process of the wireless transmission unit further includes: Collecting the environmental parameters of the environment where the real-time data of terminal logistics business objects is remotely transmitted in real time according to the preset environmental parameter collection frequency; wherein, the environmental parameters include humidity parameters and dust concentration parameters; Comparing the humidity parameter and the dust concentration parameter with their corresponding humidity thresholds and dust concentration thresholds respectively; When any one of the humidity parameter and the dust concentration parameter exceeds its corresponding threshold, the parameter that exceeds its corresponding threshold is used as the target parameter, and the parameter that does not exceed its corresponding threshold is used as the observation parameter; Retrieving the target parameter values during the historical collection of environmental parameters, the wireless signal attenuation rate corresponding to each target parameter value collection moment, and the observation parameter values; Performing a ratio process on the target parameter value and its corresponding threshold to obtain the ratio between the target parameter value and its corresponding threshold as the first ratio data; Perform a ratio process on the observed parameter value corresponding to the target parameter value acquisition moment and its corresponding threshold value to obtain the ratio between the observed parameter value and its corresponding threshold value as the second ratio data; Use the quantitative relationships between the first ratio data and the second ratio data and the wireless signal attenuation rate to perform an enhancement adjustment on the transmission power of the wireless transmission unit.

[0014] Preferably, using the quantitative relationships between the first ratio data and the second ratio data and the wireless signal attenuation rate to perform an enhancement adjustment on the transmission power of the wireless transmission unit includes: Retrieve the first ratio data and the second ratio data; Retrieve the wireless signal attenuation rate corresponding to each first ratio data and second ratio data; Compare the first ratio data and the second ratio data with the wireless signal attenuation rate, and obtain a transmission power enhancement coefficient according to the comparison results between the first ratio data and the second ratio data and the wireless signal attenuation rate; Among them, the transmission power enhancement coefficient is obtained through the following formula: Among them, W represents the transmission power enhancement coefficient; n represents the number of corresponding target parameter values and observed parameter values; X i represents the value corresponding to the i-th target parameter value; Y i represents the value corresponding to the i-th observed parameter value; X s represents the threshold value corresponding to the target parameter value; Y s represents the threshold value corresponding to the observed parameter value; P i represents the wireless signal attenuation rate corresponding to the i-th target parameter value; Use the transmission power enhancement coefficient to perform an enhancement adjustment on the transmission power of the wireless transmission unit, and control the wireless transmission unit to perform data remote transmission control according to the enhanced adjusted transmission power; Among them, the enhanced adjusted transmission power is obtained through the following formula: Among them, Q represents the enhanced adjusted transmission power; Q 0 represents the transmission power before enhancement adjustment; W represents the transmission power enhancement coefficient; λ represents a proportional adjustment coefficient, and its value range is 0.12 - 0.73.

[0015] Compared with the prior art, the beneficial effects of the present invention are: The present invention adopts Internet of Things technology to obtain cargo data of terminal logistics business objects, vehicle data of terminal logistics business objects, equipment data of terminal logistics business objects, and personnel data of terminal logistics business objects, collect real-time data of terminal logistics business objects based on the Internet of Things, wirelessly transmit the collected real-time data of terminal logistics business objects based on the Internet of Things, perform preprocessing of cleaning, integration, and conversion on the real-time data of terminal logistics business objects based on the Internet of Things, store the standardized real-time data of terminal logistics business objects in a database, analyze the real-time data of terminal logistics business objects based on the standard data of terminal logistics business objects, determine the processing and analysis results of terminal logistics business objects, formulate an intelligent management plan for terminal logistics business objects, perform intelligent processing and control on terminal logistics business objects, and perform intelligent scheduling management on goods, vehicles, equipment, and personnel in terminal logistics business, so as to optimize resource allocation and realize the intelligent management of terminal logistics business, effectively process terminal logistics business objects, can real-time master the status of goods, vehicles, and equipment, can perform effective scheduling and management, and is equipped with an effective safety monitoring and warning mechanism, making it easy to discover and handle potential safety hazards in a timely manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is a flowchart of the method for processing terminal logistics business objects based on the Internet of Things of the present invention; Figure 2 is a framework diagram of the system for processing terminal logistics business objects based on the Internet of Things of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0017] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0018] In order to solve the problems that the existing technology cannot effectively process terminal logistics business objects, cannot real-time master the status of goods, vehicles, and equipment, is difficult to perform effective scheduling and management, lacks an effective safety monitoring and warning mechanism, and potential safety hazards are difficult to discover and handle in a timely manner, please refer to Figure 1 - Figure 2 , the following technical solutions are provided in this embodiment: A method for processing terminal logistics business objects based on the Internet of Things includes the following steps: S1. Collection and Transmission: Using Internet of Things technology, obtain the cargo data of the terminal logistics business objects, the vehicle data of the terminal logistics business objects, the equipment data of the terminal logistics business objects, and the personnel data of the terminal logistics business objects. Collect the real-time data of the terminal logistics business objects based on the Internet of Things, and wirelessly transmit the collected real-time data of the terminal logistics business objects based on the Internet of Things; In this embodiment, when collecting the real-time data of the terminal logistics business objects based on the Internet of Things, the following operations are performed: Apply Internet of Things technology to identify the goods in the terminal logistics business based on RFID tags and sensors and the location of the goods and the status of the goods for real-time monitoring, and collect the cargo data of the terminal logistics business objects ; It should be noted that an RFID tag is pasted on each piece of cargo, and the cargo information is recorded based on the RFID tag, including the consignor, product name, weight, volume, etc.; the location information of the cargo is read in real time through an RFID reader to achieve full-process tracking of the cargo, and sensors are used to monitor the status information such as the temperature and humidity of the cargo to ensure the safety of the cargo.

[0019] Apply Internet of Things technology to perform real-time monitoring on the vehicle location and vehicle status in the terminal logistics business based on GPS and sensors, and collect the vehicle data of the terminal logistics business objects; It should be noted that the vehicle location information is grasped in real time by using GPS, intelligent scheduling is performed in combination with the cargo information and road conditions information, and sensors are used to monitor the status information such as vehicle fuel consumption, vehicle speed, and tire pressure to ensure the safe operation of the vehicle.

[0020] Apply Internet of Things technology to perform real-time monitoring on the equipment parameters and equipment status in the terminal logistics business based on sensors, and collect the equipment data of the terminal logistics business objects; It should be noted that sensors are used to monitor the operation status and equipment parameter information of the equipment, etc., to achieve preventive maintenance of the equipment and improve the utilization rate of the equipment.

[0021] Apply Internet of Things technology to perform real-time monitoring on the personnel location and personnel identity in the terminal logistics business based on GPS and cameras, and collect the personnel data of the terminal logistics business objects; It should be noted that the personnel location information is grasped in real time by using GPS to ensure the safety of personnel, and cameras and face recognition technology are used for personnel identity recognition to achieve safety management.

[0022] Among them, based on the cargo data of the terminal logistics business objects, the vehicle data of the terminal logistics business objects, the equipment data of the terminal logistics business objects, and the personnel data of the terminal logistics business objects, determine the real-time data of the terminal logistics business objects based on the Internet of Things.

[0023] S2. Pretreatment and Analysis: Perform pretreatment of cleaning, integration, and transformation on the real-time data of terminal logistics business objects based on the Internet of Things, and store the standardized real-time data of terminal logistics business objects in a database. Based on the standard data of terminal logistics business objects, analyze the real-time data of terminal logistics business objects to determine the processing and analysis results of terminal logistics business objects; In this embodiment, when performing pretreatment on the real-time data of terminal logistics business objects based on the Internet of Things, the following operations are executed: Based on the Pandas tool, clean the real-time data of terminal logistics business objects based on the Internet of Things; Among them, check the real-time data of terminal logistics business objects based on the Internet of Things, and identify duplicate values, missing values, and outliers contained in the real-time data of terminal logistics business objects based on the Internet of Things; For the duplicate values contained in the real-time data of terminal logistics business objects based on the Internet of Things, delete the duplicate values; for the missing values contained in the real-time data of terminal logistics business objects based on the Internet of Things, handle the missing values by choosing to delete, fill, or interpolate according to the situation; for the outliers contained in the real-time data of terminal logistics business objects based on the Internet of Things, handle the outliers by choosing to delete or correct according to the situation; Based on the SSIS tool, integrate the real-time data of terminal logistics business objects based on the Internet of Things; Among them, integrate the real-time data of terminal logistics business objects based on the Internet of Things, integrate the real-time data of terminal logistics business objects from different sources into a unified data view, and associate the integrated real-time data of terminal logistics business objects according to the terminal logistics business logic.

[0024] In this embodiment, when performing pretreatment on the real-time data of terminal logistics business objects based on the Internet of Things, the following operations are also executed: Based on the Talend tool, transform the real-time data of terminal logistics business objects based on the Internet of Things; Among them, standardize the real-time data of terminal logistics business objects based on the Internet of Things, remove the dimensional differences between the real-time data of terminal logistics business objects based on the Internet of Things, determine the standardized real-time data of terminal logistics business objects, and securely store the standardized real-time data of terminal logistics business objects, and store the standardized real-time data of terminal logistics business objects in a database.

[0025] In this embodiment, when analyzing the real-time data of terminal logistics business objects, the following operations are executed: According to the processing requirements of terminal logistics business objects, preset the standard data of terminal logistics business objects in advance, and store the preset standard data of terminal logistics business objects for backup; Analyze the real-time data of the terminal logistics business object based on the standard data of the terminal logistics business object, and determine the processing and analysis result of the terminal logistics business object; Among them, if the real-time data of the terminal logistics business object is within the scope of the standard data of the terminal logistics business object, the processing and analysis result of the terminal logistics business object is that there is no abnormal behavior of the terminal logistics business object; Among them, if the real-time data of the terminal logistics business object is not within the scope of the standard data of the terminal logistics business object, the processing and analysis result of the terminal logistics business object is that there is an abnormal behavior of the terminal logistics business object.

[0026] S3. Terminal logistics scheduling management: Based on the processing and analysis result of the terminal logistics business object, formulate an intelligent management plan for the terminal logistics business object, and conduct intelligent processing and control over the terminal logistics business object, and conduct intelligent scheduling management on the goods, vehicles, equipment and personnel in the terminal logistics business, so as to optimize resource allocation and realize the intelligent management of the terminal logistics business.

[0027] In this embodiment, to formulate an intelligent management plan for the terminal logistics business object, the following operations are performed: Based on the processing and analysis result of the terminal logistics business object, conduct timely safety warnings on the risk situation of the terminal logistics business object to alert the terminal logistics management personnel, analyze the real-time data of the terminal logistics business object, formulate an intelligent management plan for the terminal logistics business object, and conduct intelligent processing and control over the terminal logistics business object according to the intelligent management plan for the terminal logistics business object.

[0028] In this embodiment, to conduct intelligent processing and control over the terminal logistics business object, the following operations are performed: According to the goods data of the terminal logistics business object, the vehicle data of the terminal logistics business object, the equipment data of the terminal logistics business object and the personnel data of the terminal logistics business object, conduct intelligent scheduling management on the goods, vehicles, equipment and personnel in the terminal logistics business to optimize resource allocation; Among them, intelligent scheduling is carried out according to the vehicle position in combination with the goods and road conditions, and intelligent scheduling is carried out on the vehicles and personnel according to the goods identification and goods position.

[0029] In order to better show the processing principle of the terminal logistics business object based on the Internet of Things, this embodiment now provides a terminal logistics business object processing system based on the Internet of Things, which is used to implement the terminal logistics business object processing method based on the Internet of Things as described above, including: A perception and collection device, which is used to collect the goods data of the terminal logistics business object, the vehicle data of the terminal logistics business object, the equipment data of the terminal logistics business object and the personnel data of the terminal logistics business object based on the Internet of Things technology, and determine the real-time data of the terminal logistics business object based on the Internet of Things; A wireless transmission unit, configured to remotely transmit in real time the collected real-time data of the terminal logistics business objects based on the Internet of Things to a processing and control platform based on wireless transmission technology; A processing and control platform, configured to process and control the real-time data of the terminal logistics business objects based on the Internet of Things, and to realize the intelligent management of the terminal logistics business; Wherein, the processing and control platform includes: A preprocessing and analysis module, configured to preprocess and analyze the real-time data of the terminal logistics business objects based on the Internet of Things, and determine the processing and analysis results of the terminal logistics business objects; A terminal logistics management module, configured to formulate an intelligent management plan for the terminal logistics business objects based on the processing and analysis results of the terminal logistics business objects, and perform intelligent processing and control on the terminal logistics business objects.

[0030] Therefore, based on the Internet of Things technology, the real-time data of the terminal logistics business objects is collected, and the collected real-time data of the terminal logistics business objects is wirelessly transmitted. Moreover, preprocessing such as cleaning, integration and conversion is performed on the real-time data of the terminal logistics business objects, and the standardized real-time data of the terminal logistics business objects is stored in a database. Based on the standard data of the terminal logistics business objects, the real-time data of the terminal logistics business objects is analyzed to determine the processing and analysis results of the terminal logistics business objects, an intelligent management plan for the terminal logistics business objects is formulated, and intelligent processing and control are performed on the terminal logistics business objects, so as to perform intelligent scheduling management on the goods, vehicles, equipment and personnel in the terminal logistics business, optimize resource allocation and realize the intelligent management of the terminal logistics business. The terminal logistics business objects can be effectively processed, the status of goods, vehicles and equipment can be grasped in real time, effective scheduling and management can be carried out, and effective safety monitoring and warning mechanisms are equipped, so that potential safety hazards can be easily discovered and handled in a timely manner.

[0031] Specifically, the operation process of the wireless transmission unit further includes: Collecting in real time the environmental parameters of the environment where the real-time data of the terminal logistics business objects is remotely transmitted according to a preset environmental parameter collection frequency; wherein, the environmental parameters include humidity parameters and dust concentration parameters; Comparing the humidity parameter and the dust concentration parameter with their corresponding humidity threshold and dust concentration threshold respectively; When any one of the humidity parameter and the dust concentration parameter exceeds its corresponding threshold, the parameter that exceeds its corresponding threshold is used as a target parameter, and the parameter that does not exceed its corresponding threshold is used as an observation parameter; Retrieving the numerical values of the target parameters during the historical collection process of the environmental parameters and the wireless signal attenuation rate and the numerical values of the observation parameters corresponding to the collection moments of each target parameter numerical value; Perform a ratio process on the target parameter value and its corresponding threshold to obtain the ratio between the target parameter value and its corresponding threshold as the first ratio data; Perform a ratio process on the observed parameter value corresponding to the acquisition moment of the target parameter value and its corresponding threshold to obtain the ratio between the observed parameter value and its corresponding threshold as the second ratio data; Use the quantitative relationship between the first ratio data and the second ratio data and the wireless signal attenuation rate to perform an enhanced adjustment on the transmission power of the wireless transmission unit.

[0032] The technical effects of the above technical solution are as follows: By collecting the humidity and dust concentration parameters of the environment where the dock logistics business object is located in real time and comparing them with the preset thresholds, it is possible to detect abnormal environmental parameters in a timely manner, providing real-time environmental monitoring and early warning capabilities for dock logistics management. When the humidity or dust concentration parameter exceeds its corresponding threshold, the solution can accurately identify the parameter that exceeds the threshold (target parameter) and the parameter that does not exceed the threshold (observed parameter), providing a clear target for subsequent analysis and processing. By retrieving the historical acquisition data of environmental parameters, including the target parameter value, the wireless signal attenuation rate corresponding to each acquisition moment of the target parameter value, and the observed parameter value, it provides a data basis for analyzing the relationship between environmental parameters and the wireless signal attenuation rate. Through the ratio process of the target parameter value and the observed parameter value with their corresponding thresholds, the first ratio data and the second ratio data are obtained. These ratio data can quantitatively reflect the deviation degree between the environmental parameters and the thresholds, providing a basis for subsequent adjustments. Use the quantitative relationship between the first ratio data and the second ratio data and the wireless signal attenuation rate to perform an enhanced adjustment on the transmission power of the wireless transmission unit. This intelligent adjustment method can dynamically adjust the transmission power of the wireless transmission unit according to the changes in environmental parameters, thereby optimizing the wireless transmission performance and improving the stability and reliability of data transmission.

[0033] In summary, the above technical solution improves the monitoring ability of the environment where the dock logistics business object is located and the wireless transmission performance through technical means such as real-time environmental monitoring, accurate identification of abnormal parameters, historical data correlation analysis, quantitative evaluation and ratio processing, and intelligent adjustment of the transmission power of the wireless transmission unit, providing technical support for the intelligentization and high efficiency of dock logistics management.

[0034] Specifically, using the quantitative relationship between the first ratio data and the second ratio data and the wireless signal attenuation rate to perform an enhanced adjustment on the transmission power of the wireless transmission unit includes: Retrieve the first ratio data and the second ratio data; Retrieve the wireless signal attenuation rate corresponding to each first ratio data and the second ratio data; Compare the first ratio data and the second ratio data with the wireless signal attenuation rate, and obtain a transmission power enhancement coefficient according to the comparison results between the first ratio data and the second ratio data and the wireless signal attenuation rate; Wherein, the transmission power enhancement coefficient is obtained through the following formula: Wherein, W represents the transmission power enhancement coefficient; n represents the number corresponding to the target parameter value and the observation parameter value; X i represents the value corresponding to the i-th target parameter value; Y i represents the value corresponding to the i-th observation parameter value; X s represents the threshold corresponding to the target parameter value; Y s represents the threshold corresponding to the observation parameter value; P i represents the wireless signal attenuation rate corresponding to the i-th target parameter value; Use the transmission power enhancement coefficient to perform an enhanced adjustment on the transmission power of the wireless transmission unit, and control the wireless transmission unit to perform data remote transmission control according to the enhanced adjusted transmission power; Wherein, the enhanced adjusted transmission power is obtained through the following formula: Wherein, Q represents the enhanced adjusted transmission power; Q 0 represents the transmission power before the enhanced adjustment; W represents the transmission power enhancement coefficient; λ represents the proportional adjustment coefficient, and the value range is 0.12 - 0.73.

[0035] The technical effect of the above technical solution is: The exponential function and form a Sigmoid function form, and this function can map the input value to between 0 and 1. Multiply the two parts, comprehensively consider the degree of deviation of the target parameter and the observation parameter from their respective thresholds, and obtain a value that comprehensively reflects the potential impact of the current environmental parameter combination on signal transmission. P i represents the wireless signal attenuation rate corresponding to the i-th target parameter value, is to compare and calculate the value comprehensively reflecting the impact of environmental parameters with the actual wireless signal attenuation rate. The larger the difference, the greater the difference between the theoretical impact of environmental parameters on signal attenuation and the actual attenuation. This calculation result further adjusts the evaluation of the environmental impact. It reflects the degree of deviation of the target parameter and the observed parameter from their respective thresholds. The calculation result is used to weight the previous results. The farther the distance from the threshold (i.e., the greater the deviation of the environmental parameter from the normal range), the greater this weighting value, and the greater the impact on the final result. The above formula comprehensively considers the difference between the theoretical impact of environmental parameters on signal attenuation and the actual attenuation, as well as the degree of deviation of environmental parameters from the threshold, to obtain a comprehensive evaluation value for the i-th group of data. By averaging the comprehensive evaluation values of n groups of data, a transmission power enhancement coefficient W that can overall reflect the impact of environmental parameters on wireless signal attenuation is obtained, which is used to guide the adjustment of the transmission power. Since W comprehensively reflects the degree of impact of environmental parameters on wireless signal attenuation, when W is larger, it indicates that the signal attenuation caused by environmental factors is more serious. In order to ensure the quality of data remote transmission, a larger transmission power is required to compensate for the signal attenuation to ensure that the receiving end can correctly receive the data.

[0036] The above technical solution can finely adjust the transmission power of the wireless transmission unit by using the quantitative relationship between the first ratio data and the second ratio data and the wireless signal attenuation rate. This adjustment method considers the actual relationship between environmental parameters (such as humidity, dust concentration) and the wireless signal attenuation rate, making the adjustment of the transmission power more accurate and effective. The transmission power enhancement coefficient W in the solution is dynamically calculated based on the real-time collected environmental parameters and the corresponding wireless signal attenuation rate. This means that the transmission power of the wireless transmission unit can be automatically adjusted with the change of environmental parameters, thus maintaining the stability and reliability of data transmission. By enhancing the adjustment of the transmission power of the wireless transmission unit, this solution can ensure that data can still be transmitted efficiently and stably under harsh environmental conditions (such as high humidity, high dust concentration). This helps to improve the data transmission efficiency of the terminal logistics business and reduce data transmission delay and loss. The specific calculation formulas for the transmission power enhancement coefficient W and the transmission power Q after enhanced adjustment are given in the solution. The above formulas provide a quantitative basis for the adjustment of the transmission power, making the adjustment process more scientific and controllable. By real-time monitoring environmental parameters and adjusting the transmission power, this solution enhances the robustness of the wireless transmission system to environmental changes. Even when the environmental parameters fluctuate greatly, the system can still maintain stable data transmission performance.

[0037] In summary, the above technical solution optimizes the performance of the wireless transmission unit and improves the data transmission stability and reliability of the terminal logistics business through technical means such as finely adjusting the transmission power, dynamically adapting to environmental changes, improving data transmission efficiency, quantitatively controlling the transmission power, and enhancing system robustness. This provides strong technical support for the intelligence and high efficiency of terminal logistics management.

[0038] It should be noted that in this text, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or elements inherent to such process, method, article or device.

[0039] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A terminal logistics business object processing method based on the Internet of Things, characterized in that: include: Collecting real-time data of terminal logistics business objects and transmitting them wirelessly, wherein the transmission power of the wireless transmission is enhanced and adjusted by using the quantitative relationship between the first ratio data, the second ratio data and the wireless signal attenuation rate; Pre-process and analyze the real-time data of terminal logistics business objects and determine the processing and analysis results of terminal logistics business objects; Formulate intelligent management plans for terminal logistics business objects, and carry out intelligent processing and control of terminal logistics business objects.

2. The method for processing terminal logistics business objects based on the Internet of Things according to claim 1, characterized in that: Collect real-time data of terminal logistics business objects and perform the following operations: Use IoT technology to monitor cargo identification, cargo location and cargo status in terminal logistics business in real time based on RFID tags and sensors, and collect cargo data of terminal logistics business objects; Use IoT technology to monitor the location and status of vehicles in terminal logistics business in real time based on GPS and sensors, and collect vehicle data of terminal logistics business objects; Use IoT technology to monitor the equipment parameters and equipment status in the terminal logistics business in real time based on sensors, and collect the equipment data of the terminal logistics business objects; Use IoT technology to monitor the location and identity of personnel in terminal logistics business in real time based on GPS and cameras, and collect personnel data of terminal logistics business objects; Among them, based on the cargo data of the terminal logistics business objects, the vehicle data of the terminal logistics business objects, the equipment data of the terminal logistics business objects and the personnel data of the terminal logistics business objects, the real-time data of the terminal logistics business objects based on the Internet of Things is determined.

3. The method for processing terminal logistics business objects based on the Internet of Things according to claim 1, characterized in that: Pre-process the real-time data of terminal logistics business objects and perform the following operations: Based on Pandas tools, clean the real-time data of terminal logistics business objects based on the Internet of Things; Among them, the real-time data of the terminal logistics business objects based on the Internet of Things is checked, and the duplicate values, missing values ​​and abnormal values ​​contained in the real-time data of the terminal logistics business objects based on the Internet of Things are identified; For duplicate values ​​contained in the real-time data of the terminal logistics business object based on the Internet of Things, the duplicate values ​​are deleted; for missing values ​​contained in the real-time data of the terminal logistics business object based on the Internet of Things, the missing values ​​are processed by deletion, filling or interpolation according to the situation; for abnormal values ​​contained in the real-time data of the terminal logistics business object based on the Internet of Things, the abnormal values ​​are processed by deletion or correction according to the situation; Based on SSIS tools, real-time data of terminal logistics business objects based on the Internet of Things are integrated; Among them, the real-time data of terminal logistics business objects based on the Internet of Things are integrated, and the real-time data of terminal logistics business objects based on the Internet of Things from different sources are integrated into a unified data view, and the integrated real-time data of terminal logistics business objects are associated according to the terminal logistics business logic.

4. The method for processing terminal logistics business objects based on the Internet of Things according to claim 3, characterized in that: Preprocess the real-time data of terminal logistics business objects and perform the following operations: Based on Talend tools, real-time data of terminal logistics business objects based on the Internet of Things is converted; Among them, the real-time data of terminal logistics business objects based on the Internet of Things are unified, the dimensional differences between the real-time data of terminal logistics business objects based on the Internet of Things are removed, the standardized real-time data of terminal logistics business objects are determined, and the standardized real-time data of terminal logistics business objects are securely stored and stored in the database.

5. The method for processing terminal logistics business objects based on the Internet of Things according to claim 1, characterized in that: Analyze the real-time data of terminal logistics business objects and perform the following operations: According to the processing requirements of terminal logistics business objects, standard data of terminal logistics business objects are pre-set, and the pre-set standard data of terminal logistics business objects are stored for backup; Based on the standard data of terminal logistics business objects, analyze the real-time data of terminal logistics business objects and determine the processing and analysis results of terminal logistics business objects; Among them, if the real-time data of the terminal logistics business object is within the standard data range of the terminal logistics business object, then the processing and analysis result of the terminal logistics business object is that there is no abnormal behavior of the terminal logistics business object; Among them, if the real-time data of the terminal logistics business object is not within the standard data range of the terminal logistics business object, the processing and analysis result of the terminal logistics business object is that the terminal logistics business object has abnormal behavior.

6. The method for processing terminal logistics business objects based on the Internet of Things according to claim 1, characterized in that: Develop an intelligent management plan for terminal logistics business objects and perform the following operations: Based on the processing and analysis results of terminal logistics business objects, timely safety warnings are issued for the risk situations of terminal logistics business objects to alert terminal logistics management personnel, and real-time data of terminal logistics business objects are analyzed to formulate intelligent management plans for terminal logistics business objects. According to the intelligent management plans for terminal logistics business objects, terminal logistics business objects are intelligently processed and controlled.

7. The method for processing terminal logistics business objects based on the Internet of Things according to claim 1, characterized in that: Carry out intelligent processing and control of terminal logistics business objects and perform the following operations: Based on the cargo data, vehicle data, equipment data and personnel data of the terminal logistics business objects, intelligent dispatch management of cargo, vehicles, equipment and personnel in the terminal logistics business is carried out to optimize resource allocation; Among them, intelligent scheduling is carried out according to the vehicle location, combined with the cargo and road conditions, and intelligent scheduling of vehicles and personnel is carried out according to the cargo identification and cargo location.

8. A terminal logistics business object processing system based on the Internet of Things, used to implement the terminal logistics business object processing method based on the Internet of Things as claimed in any one of claims 1 to 7, characterized in that: include: Sensing and collection equipment, used to collect real-time data of terminal logistics business objects; A wireless transmission unit is used to remotely transmit the collected real-time data of terminal logistics business objects to the processing and control platform based on wireless transmission technology; The processing and control platform is used to process and control the real-time data of terminal logistics business objects, and to realize the intelligent management of terminal logistics business; Among them, the processing and control platform includes: The preprocessing and analysis module is used to preprocess and analyze the real-time data of the terminal logistics business objects and determine the processing and analysis results of the terminal logistics business objects; The terminal logistics management module is used to formulate intelligent management plans for terminal logistics business objects based on the processing and analysis results of terminal logistics business objects, and to carry out intelligent processing and control of terminal logistics business objects.

9. The terminal logistics business object processing system based on the Internet of Things as claimed in claim 8, characterized in that: The operation process of the wireless transmission unit also includes: Collect the environmental parameters of the environment in which the real-time data of the terminal logistics business object is remotely transmitted in real time according to the preset environmental parameter collection frequency; wherein the environmental parameters include humidity parameters and dust concentration parameters; Comparing the humidity parameter and the dust concentration parameter with their corresponding humidity thresholds and dust concentration thresholds respectively; When any one of the humidity parameter and the dust concentration parameter exceeds its corresponding threshold, the parameter exceeding its corresponding threshold is used as the target parameter, and the parameter not exceeding its corresponding threshold is used as the observation parameter; Retrieve the target parameter values ​​during the historical collection of environmental parameters and the wireless signal attenuation rate and observed parameter values ​​corresponding to each target parameter value collection moment; Performing ratio processing on the target parameter value and the threshold value corresponding to it, obtaining the ratio between the target parameter value and the threshold value corresponding to it as first ratio data; Performing ratio processing on the observed parameter value corresponding to the target parameter value collection moment and the threshold value corresponding thereto, and obtaining the ratio between the observed parameter value and the threshold value corresponding thereto as second ratio data; The transmission power of the wireless transmission unit is enhanced and adjusted by utilizing the quantitative relationship between the first ratio data, the second ratio data and the wireless signal attenuation rate.

10. The terminal logistics business object processing system based on the Internet of Things as claimed in claim 9, characterized in that: The method of enhancing and adjusting the transmission power of the wireless transmission unit by using the quantitative relationship between the first ratio data, the second ratio data and the wireless signal attenuation rate includes: Retrieving first ratio data and second ratio data; Retrieving the wireless signal attenuation rate corresponding to each first ratio data and second ratio data; Compare the first ratio data and the second ratio data with the wireless signal attenuation rate, and obtain a transmission power enhancement factor according to a comparison result between the first ratio data and the second ratio data and the wireless signal attenuation rate; The transmission power enhancement coefficient is used to enhance and adjust the transmission power of the wireless transmission unit, and the wireless transmission unit is controlled to perform data remote transmission control according to the enhanced and adjusted transmission power.

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