A logistics information transmission security monitoring system
Through the logistics information transmission security monitoring system, the problem of low security of logistics information transmission is solved. Through data analysis and encryption technology, the monitoring of goods and inventory status and the optimization of transmission signal status are achieved, and the security of logistics information transmission is improved and accuracy ensures the integrity and confidentiality of information.
Patent Information
- Application Number
- CN202410868456.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-07-01
- Publication Date
- 2025-01-03
- Estimated Expiration
- 2044-07-01
AI Technical Summary
In the prior art, the logistics information transmission is low in security, vulnerable to hacker attacks and information leakage, and fails to effectively protect the security of goods and trade secrets.
A logistics information transmission security monitoring system is designed, including data acquisition, analysis, encryption, transmission status monitoring and security alarm modules. By analyzing the logistics status, inventory status and transmission signal status of the goods, data encryption and mode optimization are carried out, and Transfer the encrypted data to the cloud server and alarm users in real time.
It improves the security and accuracy of logistics information transmission, enhances the analysis and monitoring capabilities of data transmission modes, ensures the integrity and confidentiality of information, and promptly reports potential risks to users.
Smart Images

Figure CN118631563B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of information transmission monitoring, and in particular to a logistics information transmission safety monitoring system. Background Art
[0002] With the rapid development of e-commerce and global supply chains, the logistics industry is facing the challenge of massive data transmission. Logistics data not only contains basic information such as the location and status of goods, but also sensitive information such as customer privacy and trade secrets. Its security is directly related to corporate operations and user trust. Traditional logistics data transmission methods are vulnerable to security threats such as hacker attacks and information leakage, and an efficient and intelligent security monitoring system is urgently needed.
[0003] Chinese Patent Publication No. CN116938607A discloses a data transmission method and device for smart logistics, which includes the following steps: responding to a logistics delivery request, selecting a destination logistics site based on a preset logistics site map; executing a preset work order encryption process based on the logistics delivery request and the destination logistics site, encrypting and generating a logistics delivery work order; and sending the logistics delivery work order to the destination logistics site. This application is based on the work order encryption process, and encrypts and generates the logistics delivery work order through encryption operations of different dimensions and different levels, thereby ensuring that the data transmission of the logistics delivery work order has good confidentiality, effectively avoiding information leakage, and improving the level of information security; it can be seen that the invention only encrypts and transmits logistics data, does not extract data and judge the transmission environment, and has the problem of low security in the transmission of logistics information. Summary of the invention
[0004] To this end, the present invention provides a logistics information transmission security monitoring system to overcome the problem of low security of logistics information transmission in the prior art.
[0005] To achieve the above-mentioned purpose, the present invention provides a logistics information transmission safety monitoring system, comprising:
[0006] Data acquisition module, used to obtain cargo logistics information, logistics site information and environmental parameters within the monitoring period;
[0007] A data analysis module is used to analyze the logistics and distribution status of goods according to the logistics information of goods within the monitoring period, and to analyze the inventory status of logistics sites according to the analysis results of the logistics and distribution status of goods and the logistics site information;
[0008] A data encryption module is used to analyze the logistics data according to the logistics distribution status analysis results of the goods within the monitoring period and the inventory status analysis results of the logistics sites, and to encrypt the logistics data;
[0009] The transmission status monitoring module is used to analyze the transmission signal status according to the environmental parameters within the monitoring period, and analyze the data transmission mode of the logistics data according to the analysis results of the transmission signal status;
[0010] A data transmission module is used to transmit the encrypted logistics data to the cloud server according to the data transmission mode analysis results of the logistics data;
[0011] The security alarm module is used to analyze the data security status based on the logistics data received by the cloud server and to alert the user based on the analysis results.
[0012] Furthermore, the data analysis module is provided with a logistics analysis unit, and the logistics analysis unit is used to analyze the logistics distribution status of the goods according to the logistics information of the goods within the monitoring period;
[0013] The logistics analysis unit analyzes the logistics distribution status of the goods according to the abnormality of the logistics location of the goods and the abnormality of the logistics time of the goods, wherein:
[0014] When the abnormality of the logistics location of the goods is normal and the abnormality of the logistics time of the goods is normal, the logistics analysis unit determines that the logistics distribution status of the goods is normal;
[0015] When the abnormality of the logistics location of the goods is abnormal and the abnormality of the logistics time of the goods is normal, the logistics analysis unit determines that the logistics delivery status of the goods is a wrong delivery location;
[0016] When the abnormality of the logistics location of the goods is normal and the abnormality of the logistics time of the goods is normal, the logistics analysis unit determines that the logistics distribution status of the goods is overtime abnormal;
[0017] When the abnormality of the logistics location of the goods is abnormal and the abnormality of the logistics time of the goods is abnormal, the logistics analysis unit determines that the logistics delivery status of the goods is abnormal delivery.
[0018] Furthermore, the data analysis module is further provided with an inventory analysis unit, which is used to count the number of goods n1 whose logistics distribution status is normal in the logistics site, the number of goods n2 whose logistics distribution status is wrong in the delivery location, the number of goods n3 whose logistics distribution status is abnormal overtime, and the number of goods n4 whose logistics distribution status is abnormal delivery;
[0019] The inventory analysis unit analyzes the inventory status of the logistics site according to the statistical results and the cargo capacity n of the logistics site, wherein:
[0020] When n1+n2+n3+n4<n, the inventory analysis unit determines that the inventory status of the logistics site within the monitoring period is normal;
[0021] When n1+n2+n3+n4≥n, if n2+n3+n4 / n1<μ, the inventory analysis unit determines that the inventory status of the logistics site during the monitoring period is probabilistically abnormal; if n2+n3+n4 / n1≥μ, the inventory analysis unit determines that the inventory status of the logistics site during the monitoring period is generally abnormal;
[0022] Among them, μ is the preset inventory abnormality ratio coefficient, 0<μ<0.1.
[0023] Furthermore, the data encryption module is provided with a data integration unit, and the data integration unit is used to integrate the logistics data according to the logistics distribution status analysis results of the goods and the inventory status analysis results of the logistics site, wherein:
[0024] When the logistics and delivery status of the goods is normal, the data integration unit uses the order number of the goods as the transmission information of the goods;
[0025] When the logistics distribution status of the goods is timeout abnormal, the data integration unit uses the order number of the goods and the updated logistics time t(i) as the transmission information of the goods, and sets t(i)=ht(i);
[0026] When the logistics delivery status of the goods is that the delivery location is wrong, the data integration unit uses the order number and the next logistics site number of the goods as the transmission information of the goods;
[0027] When the logistics distribution status of the goods is abnormal distribution, the data integration unit uses the order number of the goods, the updated logistics time t(i) and the next logistics site number as the transmission information of the goods;
[0028] The data integration module uses the transmission information of each cargo in the logistics site, the inventory status analysis result of the logistics site and the site number of the logistics site as logistics data.
[0029] Further, the transmission status monitoring module is provided with a transmission status monitoring unit, and the transmission status monitoring unit is used to analyze the transmission signal status according to the environmental parameters within the monitoring period;
[0030] The transmission status monitoring unit calculates the signal quality coefficient α according to the environmental parameters within the monitoring period. The calculation formula of the signal quality coefficient α is as follows:
[0031] α=ln{1+SSI / C(SSI)+[SNR-C(SNR)] / C(SNR)};
[0032] Among them, SSI is the signal strength indicator value, SNR is the signal-to-noise ratio, C (SSI) is the standard signal strength indicator value, and C (SNR) is the standard communication signal-to-noise ratio;
[0033] The transmission status monitoring unit compares the signal quality coefficient α with the preset quality coefficient A, and analyzes the transmission signal status of the logistics site according to the comparison result, wherein:
[0034] When α<A, the transmission status monitoring unit determines that the transmission signal status of the logistics site within the monitoring period is abnormal;
[0035] When α≥A, the transmission status monitoring unit determines that the transmission signal status of the logistics site within the monitoring period is normal.
[0036] Furthermore, the transmission status monitoring module is provided with an interference adjustment unit, which is used to compare the communication interference coefficient β with the preset interference coefficient P during the monitoring period, and analyze the interference status according to the comparison result. The interference adjustment unit is also used to adjust the transmission signal status analysis process of the logistics site according to the analysis result of the interference status, wherein:
[0037] When β<P, the interference adjustment unit determines that the interference state of the logistics site within the monitoring period is normal and does not make any adjustment;
[0038] When β≥P, the interference adjustment unit determines that the interference state of the logistics site within the monitoring period is abnormal, and adjusts the first preset quality coefficient to A1', setting A1'=A1×{1-arctan[(β-P) / P]}.
[0039] Furthermore, the transmission status monitoring module is also provided with an optimization unit, which is used to compare the wavelength ω of the frequency band signal of the logistics site within the monitoring period with the wavelength Ω of the communication frequency band signal, and judge the adjacent channels according to the comparison result, wherein:
[0040] When When (Ω×(1-η), Ω×(1+η)), the optimization unit determines that the frequency band signal is an adjacent channel;
[0041] When (Ω×(1-η), Ω×(1+η)), the optimization unit determines that the channel signal is a non-adjacent channel;
[0042] Where η is the neighboring offset coefficient, 0<η≤0.1;
[0043] The optimization unit counts the number N1 of adjacent channels in each frequency band signal of the logistics site;
[0044] The optimization unit compares the number of adjacent channels with the channel number threshold NK, and optimizes the transmission signal state adjustment process of the logistics site according to the comparison result, wherein:
[0045] When N1<NK, the optimization unit determines that the number of adjacent channels is normal and does not perform optimization;
[0046] When N1≥NK, the optimization unit determines that the number of adjacent channels is abnormal, and optimizes the preset receiving power to P', setting P'=P×exp{-(N1-NK) / NK}.
[0047] Furthermore, the transmission status monitoring module is further provided with a mode analysis unit, and the mode analysis unit is used to analyze the data transmission mode according to the analysis result of the transmission signal state, wherein:
[0048] When the transmission signal state of the logistics site is normal, if γ≥Y, the mode analysis unit sets the data transmission mode to fast transmission; if γ<Y, the mode analysis unit sets the data transmission mode to normal transmission;
[0049] When the transmission signal state of the logistics site is abnormal, if γ≥Y, the mode analysis unit sets the data transmission mode to low-speed transmission; if γ<Y, the mode analysis unit sets the data transmission mode to redundant transmission;
[0050] Wherein, γ is the communication transmission rate coefficient, and Y is the preset communication transmission rate coefficient.
[0051] Furthermore, the data transmission module transmits the logistics data to the cloud server according to the analysis result of the data transmission mode, wherein:
[0052] When the data transmission mode is fast transmission, the data transmission module sets the data transmission frequency to W1, W1=W, and sets the transmission data packet size to R1, R1=R;
[0053] When the data transmission mode is normal transmission, the data transmission module sets the data transmission frequency to W2, setting W2=W×[1+(α-A) / A], and sets the transmission data packet size to R2, setting R2=R;
[0054] When the data transmission mode is low-speed transmission, the data transmission module sets the data transmission frequency to W3, setting W3=W×cos[(A-α) / A], and sets the transmission data packet size to R3, setting R3=R×{1-arctan[(γ-Y) / Y]};
[0055] When the data transmission mode is redundant transmission, the data transmission module sets the data transmission frequency to W4, setting W4=W×cos[(A-α) / A], and sets the transmission data packet size to R4, setting R4=R×{1-arctan[(γ-Y) / Y]};
[0056] Wherein, W is the preset transmission frequency, and R is the preset transmission data packet size.
[0057] Furthermore, the security alarm module analyzes the data security status based on the logistics data received by the cloud server, and issues an alarm to the user based on the analysis result;
[0058] The safety alarm module counts the number of data tuples N2 whose safety status is safe, and calculates the data abnormality ratio v according to the statistical results, setting v=N2 / N3, where N3 is the total number of data tuples in the logistics data;
[0059] The security alarm module analyzes the data security status according to the data anomaly ratio v, and warns the user according to the analysis result, wherein:
[0060] When v<V1, the security alarm module determines that the data security status of the logistics data is safe and does not alarm the user;
[0061] When V1≤v<V2, the security alarm module determines that the security status of the logistics data is risky and issues a risk alarm to the user;
[0062] When v≥V2, the security alarm module determines that the security status of the logistics data is risky and issues a danger alarm to the user;
[0063] Wherein, V1 is a first preset abnormal data ratio, V2 is a second preset abnormal data ratio, and V1<V2.
[0064] Compared with the prior art, the beneficial effects of the present invention lie in that the information required by the system is acquired by the information data acquisition module, thereby improving the accuracy and completeness of information acquisition; the logistics distribution status of the goods is analyzed by the data analysis module, and the inventory status of the logistics site is analyzed, thereby improving the accuracy of the logistics distribution status and inventory status analysis; the logistics data is analyzed and encrypted by the data encryption module, thereby improving the accuracy of the logistics data analysis; the transmission signal status is analyzed by the transmission status monitoring module, and the data transmission mode is analyzed, thereby improving the accuracy of the data transmission mode analysis; the data transmission module is used to transmit the logistics data to the cloud server, thereby improving the security of the logistics information transmission; the data security status is analyzed by the security alarm module, and an alarm is issued to the user according to the analysis result, thereby improving the security of the logistics information transmission. BRIEF DESCRIPTION OF THE DRAWINGS
[0065] Figure 1 This is a schematic diagram of the structure of the logistics information transmission security monitoring system of this embodiment.
[0066] Figure 2 Schematic diagram of the structure of the data analysis module of this embodiment.
[0067] Figure 3 Schematic diagram of the structure of the data encryption module of this embodiment.
[0068] Figure 4 Schematic diagram of the structure of the transmission status monitoring module of this embodiment. DETAILED DESCRIPTION
[0069] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.
[0070] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.
[0071] It should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected" and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.
[0072] See also Figure 1 As shown, it is a structural diagram of the logistics information transmission safety monitoring system of this embodiment, including:
[0073] A data acquisition module is used to obtain cargo logistics information, logistics site information and environmental parameters within a monitoring period; the cargo logistics information includes the cargo planning site number, the total logistics time of the cargo and the average time of the remaining journey of the cargo; the cargo planning site number is the number of the distribution logistics site pre-set for the cargo; the logistics site information includes the cargo capacity of the logistics site, the site number of the logistics site and the number of cargo stored at the logistics site; the environmental parameters include the signal strength indicator value, signal-to-noise ratio, carrier-to-noise ratio, bit error rate, transmission bandwidth, communication frequency band signal wavelength, transmission delay and communication channel data bit number of the logistics site; this embodiment does not make specific restrictions on the value of the monitoring period, and those skilled in the art can set it freely, as long as the value requirements of the monitoring period are met, such as the value of the monitoring period can be set to 5 hours, 6 hours, etc.; it can be understood that the logistics information and environmental parameters within the monitoring period acquired in this embodiment are stored in the logistics site data processing center;
[0074] A data analysis module, used to analyze the logistics distribution status of goods according to the logistics information of goods within the monitoring period, and to analyze the inventory status of the logistics site according to the analysis results of the logistics distribution status of goods and the logistics site information, the data analysis module is connected to the data acquisition module;
[0075] A data encryption module, used to analyze the logistics data according to the analysis results of the logistics distribution status of the goods and the inventory status analysis results of the logistics sites within the monitoring period, and to encrypt the logistics data, the data encryption module being connected to the data analysis module;
[0076] A transmission status monitoring module, used to analyze the transmission signal status according to the environmental parameters within the monitoring period, and to analyze the data transmission mode of the logistics data according to the analysis result of the transmission signal status, the transmission status monitoring module is connected to the data acquisition module;
[0077] A data transmission module, used to transmit the encrypted logistics data to the cloud server according to the data transmission mode analysis result of the logistics data, and the data transmission module is connected with the data encryption module and the transmission status analysis module;
[0078] The security alarm module is used to analyze the data security status according to the logistics data received by the cloud server and to alarm the user according to the analysis results. The security alarm module is connected to the data transmission module.
[0079] See also Figure 2 As shown, it is a structural diagram of the data analysis module of this embodiment, including:
[0080] Logistics analysis unit, used to analyze the logistics distribution status of goods according to the logistics information of goods within the monitoring period;
[0081] The inventory analysis unit is used to analyze the inventory status of the logistics site according to the logistics distribution status analysis results of the goods and the logistics site information. The inventory analysis unit is connected to the logistics analysis unit.
[0082] See also Figure 3 As shown, it is a structural diagram of the data encryption module of this embodiment, including:
[0083] A data integration unit is used to integrate logistics data based on the analysis results of the logistics distribution status of goods and the inventory status analysis results of logistics sites;
[0084] The data encryption unit is used to encrypt the logistics data, and the data encryption unit and the data integration unit.
[0085] See also Figure 4 As shown, it is a schematic diagram of the structure of the transmission safety monitoring system of this embodiment, including:
[0086] A transmission status monitoring unit, used to analyze the transmission signal status according to the environmental parameters within the monitoring period;
[0087] An interference adjustment unit, used to adjust the transmission signal state analysis process of the logistics site, the interference adjustment unit is connected to the transmission state monitoring unit;
[0088] An optimization unit, used to judge the adjacent channels according to the wavelengths of the signals of each frequency band of the logistics site within the monitoring period, and to optimize the transmission signal state adjustment process of the logistics site according to the judgment results of the adjacent frequency bands, and the optimization unit is connected to the interference adjustment unit;
[0089] The mode analysis unit is used to analyze the data transmission mode according to the analysis result of the transmission signal state, and the mode analysis unit is connected to the transmission state monitoring unit.
[0090] Specifically, the logistics information transmission security monitoring system described in this embodiment is applied to the security monitoring of logistics information transmission between a cloud-based logistics platform server and a logistics site data processing center in remote areas; the logistics method adopted in this embodiment is vehicle transportation logistics; the transmission method of logistics information in this embodiment is satellite communication for data transmission; this embodiment analyzes the cargo distribution status and inventory status, and analyzes the logistics data based on the analysis results, analyzes the data transmission mode, and transmits the logistics data based on the data mode analysis results, thereby improving the security of logistics information transmission.
[0091] Specifically, the data analysis module is provided with a logistics analysis unit, and the logistics analysis unit analyzes the logistics distribution status of the goods according to the logistics information of the goods within the monitoring period;
[0092] The logistics analysis unit compares the cargo planning site number H(i) with the site number h of the logistics site, and analyzes the abnormality of the cargo logistics location according to the comparison result, wherein:
[0093] When H(i)=h, the logistics analysis unit determines that the abnormality of the logistics location of the goods is normal;
[0094] When H(i)≠h, the logistics analysis unit determines that the logistics location abnormality of the goods is abnormal;
[0095] The logistics analysis unit analyzes the abnormality of the cargo logistics time according to the cargo logistics time t(i), wherein:
[0096] When t(i)+ht(i)≤T(i), the logistics analysis unit determines that the abnormality of the cargo logistics time is normal;
[0097] When t(i)+ht(i)>T(i), the logistics analysis unit determines that the abnormality of the cargo logistics time is abnormal;
[0098] Where i=1,2...N, N is the number of goods stored at the logistics site during the monitoring period, H(i) is the target logistics site number of the i-th piece of goods at the logistics site during the monitoring period, ht(i) is the average logistics time of the remaining journey of the i-th piece of goods at the logistics site during the monitoring period, and T(i) is the total logistics time of the i-th piece of goods at the logistics site during the monitoring period;
[0099] The logistics analysis unit analyzes the logistics distribution status of the goods according to the abnormality of the logistics location of the goods and the abnormality of the logistics time of the goods, wherein:
[0100] When the abnormality of the logistics location of the goods is normal and the abnormality of the logistics time of the goods is normal, the logistics analysis unit determines that the logistics distribution status of the goods is normal;
[0101] When the abnormality of the logistics location of the goods is abnormal and the abnormality of the logistics time of the goods is normal, the logistics analysis unit determines that the logistics delivery status of the goods is a wrong delivery location;
[0102] When the abnormality of the logistics location of the goods is normal and the abnormality of the logistics time of the goods is normal, the logistics analysis unit determines that the logistics distribution status of the goods is overtime abnormal;
[0103] When the abnormality of the logistics location of the goods is abnormal and the abnormality of the logistics time of the goods is abnormal, the logistics analysis unit determines that the logistics delivery status of the goods is abnormal delivery.
[0104] Specifically, the logistics analysis unit improves the accuracy of the logistics distribution status analysis of the goods by analyzing the logistics distribution status of the goods according to the logistics information of the goods during the monitoring period, thereby improving the accuracy of the inventory status analysis of the logistics site, thereby improving the accuracy of logistics data analysis and transmission, and ultimately improving the security of logistics information transmission.
[0105] Specifically, the data analysis module is further provided with a site inventory analysis unit, which analyzes the inventory status of the logistics site according to the logistics distribution status analysis results of the goods within the monitoring period and the logistics site information;
[0106] The inventory analysis unit counts the number of goods n1 whose logistics distribution status is normal in the logistics site, the number of goods n2 whose logistics distribution status is wrong delivery location, the number of goods n3 whose logistics distribution status is abnormal timeout, and the number of goods n4 whose logistics distribution status is abnormal delivery;
[0107] The inventory analysis unit analyzes the inventory status of the logistics site according to the statistical results and the cargo capacity n of the logistics site, wherein:
[0108] When n1+n2+n3+n4<n, the inventory analysis unit determines that the inventory status of the logistics site within the monitoring period is normal;
[0109] When n1+n2+n3+n4≥n, if n2+n3+n4 / n1<μ, the inventory analysis unit determines that the inventory status of the logistics site during the monitoring period is probabilistically abnormal; if n2+n3+n4 / n1≥μ, the inventory analysis unit determines that the inventory status of the logistics site during the monitoring period is generally abnormal;
[0110] Among them, μ is the preset inventory abnormality ratio coefficient, 0<μ<0.1.
[0111] Specifically, the inventory analysis unit analyzes the inventory status of the logistics site according to the logistics distribution status analysis results of the goods and the logistics site information, thereby improving the accuracy of the inventory status analysis of the logistics site, thereby improving the accuracy of the logistics data analysis, thereby improving the accuracy of the logistics data transmission, and ultimately improving the security of the logistics information transmission; it can be understood that the optimal value of the preset inventory abnormality ratio coefficient μ described in this embodiment is 0.05.
[0112] Specifically, the data encryption module is provided with a data integration unit, which integrates the logistics data according to the logistics distribution status analysis results of the goods and the inventory status analysis results of the logistics site, wherein:
[0113] When the logistics and delivery status of the goods is normal, the data integration unit uses the order number of the goods as the transmission information of the goods;
[0114] When the logistics distribution status of the goods is timeout abnormal, the data integration unit uses the order number of the goods and the updated logistics time t(i) as the transmission information of the goods, and sets t(i)=ht(i);
[0115] When the logistics delivery status of the goods is that the delivery location is wrong, the data integration unit uses the order number and the next logistics site number of the goods as the transmission information of the goods;
[0116] When the logistics distribution status of the goods is abnormal distribution, the data integration unit uses the order number of the goods, the updated logistics time t(i) and the next logistics site number as the transmission information of the goods;
[0117] The data integration module uses the transmission information of each cargo in the logistics site, the inventory status analysis result of the logistics site and the site number of the logistics site as logistics data.
[0118] Specifically, the data integration unit integrates the logistics data according to the logistics distribution status analysis results of the goods and the inventory status analysis results of the logistics sites, thereby reducing the data transmission size of the logistics data and improving the security of the logistics data transmission. By analyzing the logistics data, the accuracy of the logistics data analysis is improved, thereby improving the accuracy of the logistics data transmission, and ultimately improving the security of the logistics information transmission. It can be understood that the updated logistics time is the remaining time of the goods after the update.
[0119] Specifically, the data encryption module is further provided with a data encryption unit, and the data encryption unit encrypts the logistics data;
[0120] The data encryption unit generates a corresponding first hash value for each data tuple in the logistics data using a hash algorithm, and stores the first hash value after the data tuple;
[0121] The data encryption unit encrypts the logistics data after the hash value is added.
[0122] Specifically, the data encryption unit improves the security of the logistics data transmission process by encrypting the logistics data.
[0123] It is worth noting that the present embodiment does not specifically limit the encryption process of the logistics data after the hash value is added, and those skilled in the art can freely set it. The present embodiment can use the RSA encryption algorithm to generate a public-private key pair, and encrypt the logistics data according to the public-private key pair.
[0124] Specifically, the transmission status monitoring module is provided with a transmission status monitoring unit, and the transmission status monitoring unit analyzes the transmission signal status according to the environmental parameters within the monitoring period;
[0125] The transmission status monitoring unit calculates the signal quality coefficient α according to the environmental parameters within the monitoring period. The calculation formula of the signal quality coefficient α is as follows:
[0126] α=ln{1+SSI / C(SSI)+[SNR-C(SNR)] / C(SNR)};
[0127] Among them, SSI is the signal strength indicator value, SNR is the signal-to-noise ratio, C (SSI) is the standard signal strength indicator value, and C (SNR) is the standard communication signal-to-noise ratio;
[0128] The transmission status monitoring unit compares the signal quality coefficient α with the preset quality coefficient A, and analyzes the transmission signal status of the logistics site according to the comparison result, wherein:
[0129] When α<A, the transmission status monitoring unit determines that the transmission signal status of the logistics site within the monitoring period is abnormal;
[0130] When α≥A, the transmission status monitoring unit determines that the transmission signal status of the logistics site within the monitoring period is normal.
[0131] Specifically, the transmission status monitoring unit analyzes the transmission signal status according to the environmental parameters within the monitoring period, thereby improving the accuracy of the transmission signal status analysis, and further improving the accuracy of the data transmission mode analysis, thereby improving the accuracy of the logistics data transmission, and ultimately improving the security of the logistics information transmission; it can be understood that this embodiment does not specifically limit the value of the preset quality coefficient A, and technical personnel in this field can set it freely, as long as the value requirement of the preset quality coefficient A is met, such as the preset quality coefficient A can be set to 0.5; at the same time, the value range of C (SSI) in this embodiment is C (SSI) > 50dBm, and the value range of C (SNR) is C (SNR) > 30dB.
[0132] Specifically, the transmission status monitoring module is provided with an interference adjustment unit, which is used to compare the communication interference coefficient β with the preset interference coefficient P during the monitoring period, and analyze the interference status according to the comparison result. The interference adjustment unit is also used to adjust the transmission signal status analysis process of the logistics site according to the analysis result of the interference status, wherein:
[0133] When β<P, the interference adjustment unit determines that the interference state of the logistics site within the monitoring period is normal and does not make any adjustment;
[0134] When β≥P, the interference adjustment unit determines that the interference state of the logistics site within the monitoring period is abnormal, and adjusts the first preset quality coefficient to A1', setting A1'=A1×{1-arctan[(β-P) / P]};
[0135] Here, β is set to exp{-[CNR-C(CNR)] / C(CNR)}×exp(BER×1000), where CNR is the carrier-to-noise ratio, C(CNR) is the standard carrier-to-noise ratio, and BER is the bit error rate.
[0136] Specifically, the interference adjustment unit analyzes the interference status of the logistics site and adjusts the transmission signal status analysis process of the logistics site according to the analysis results, thereby improving the accuracy of the transmission signal status analysis, and then improving the accuracy of the data transmission mode analysis, thereby improving the accuracy of logistics data transmission, and ultimately improving the security of logistics information transmission; it can be understood that this embodiment does not make a specific limitation on the value of the preset interference coefficient P, it only needs to meet the value requirement of the preset interference coefficient P, such as the preset interference coefficient P can be set to 1; at the same time, the value range of C (CNR) in this embodiment is C (CNR)>15dB.
[0137] Specifically, the transmission status monitoring module is further provided with an optimization unit, which compares the wavelength ω of the frequency band signals of the logistics site within the monitoring period with the wavelength Ω of the communication frequency band signal, and judges the adjacent channels according to the comparison results, wherein:
[0138] When When (Ω×(1-η), Ω×(1+η)), the optimization unit determines that the frequency band signal is an adjacent channel;
[0139] When (Ω×(1-η), Ω×(1+η)), the optimization unit determines that the channel signal is a non-adjacent channel;
[0140] Where η is the neighboring offset coefficient, 0<η≤0.1;
[0141] The optimization unit counts the number N1 of adjacent channels in each frequency band signal of the logistics site;
[0142] The optimization unit compares the number of adjacent channels with the channel number threshold NK, and optimizes the transmission signal state adjustment process of the logistics site according to the comparison result, wherein:
[0143] When N1<NK, the optimization unit determines that the number of adjacent channels is normal and does not perform optimization;
[0144] When N1≥NK, the optimization unit determines that the number of adjacent channels is abnormal, and optimizes the preset receiving power to P', setting P'=P×exp{-(N1-NK) / NK}.
[0145] Specifically, the optimization unit judges the adjacent channels according to the wavelengths of the signals in each frequency band of the logistics site within the monitoring period, and optimizes the transmission signal state adjustment process of the logistics site according to the judgment results of the adjacent frequency bands, thereby improving the accuracy of the transmission signal state analysis, and then improving the accuracy of the data transmission mode analysis, thereby improving the accuracy of the logistics data transmission, and ultimately improving the security of the logistics information transmission; it can be understood that this embodiment does not make a specific limitation on the value of the channel number threshold NK, and technical personnel in this field can set it freely, as long as the value requirements of the channel number threshold NK are met, such as the channel number threshold NK can be set to 4.
[0146] Specifically, the transmission status monitoring module is further provided with a mode analysis unit, and the mode analysis unit analyzes the data transmission mode according to the analysis result of the transmission signal state, wherein:
[0147] When the transmission signal state of the logistics site is normal, if γ≥Y, the mode analysis unit sets the data transmission mode to fast transmission; if γ<Y, the mode analysis unit sets the data transmission mode to normal transmission;
[0148] When the transmission signal state of the logistics site is abnormal, if γ≥Y, the mode analysis unit sets the data transmission mode to low-speed transmission; if γ<Y, the mode analysis unit sets the data transmission mode to redundant transmission;
[0149] Among them, γ is the communication transmission rate coefficient, set γ=b×st / B, b is the transmission bandwidth, st is the transmission delay, B is the number of data bits in the communication channel, and Y is the preset communication transmission rate coefficient.
[0150] Specifically, the pattern analysis unit analyzes the data transmission pattern according to the analysis results of the transmission signal state, thereby improving the accuracy of the transmission pattern analysis of the physical data, thereby improving the accuracy of the logistics data transmission, and ultimately improving the security of the logistics information transmission; this embodiment does not make specific limitations on the value of the preset communication transmission rate coefficient Y, and technical personnel in this field can set it freely, as long as the value requirements of the preset communication transmission rate coefficient Y are met, such as the preset communication transmission rate coefficient Y can be set to 0.3.
[0151] Specifically, the data transmission module transmits the logistics data to the cloud server according to the analysis results of the data transmission mode, wherein:
[0152] When the data transmission mode is fast transmission, the data transmission module sets the data transmission frequency to W1, W1=W, and sets the transmission data packet size to R1, R1=R;
[0153] When the data transmission mode is normal transmission, the data transmission module sets the data transmission frequency to W2, setting W2=W×[1+(α-A) / A], and sets the transmission data packet size to R2, setting R2=R;
[0154] When the data transmission mode is low-speed transmission, the data transmission module sets the data transmission frequency to W3, setting W3=W×cos[(A-α) / A], and sets the transmission data packet size to R3, setting R3=R×{1-arctan[(γ-Y) / Y]};
[0155] When the data transmission mode is redundant transmission, the data transmission module sets the data transmission frequency to W4, setting W4=W×cos[(A-α) / A], and sets the transmission data packet size to R4, setting R4=R×{1-arctan[(γ-Y) / Y]};
[0156] Wherein, W is the preset transmission frequency, and R is the preset transmission data packet size.
[0157] Specifically, the transmission module transmits the logistics data to the cloud server according to the analysis results of the data transmission mode, thereby improving the accuracy of logistics data transmission, and further improving the security of logistics information transmission; this embodiment does not specifically limit the values of the preset transmission frequency W and the preset transmission data packet size R, and technical personnel in this field can set them freely, as long as the value requirements of the preset transmission frequency W and the preset transmission data packet size R are met. For example, the preset transmission frequency W can be set to the maximum communication transmission protocol frequency, and the preset transmission data packet size R can be set to 90% of the maximum communication transmission protocol carrying data packet size, and the maximum communication transmission protocol frequency and the maximum communication transmission protocol carrying data packet size are obtained by user interactive input.
[0158] It is worth noting that the redundant transmission described in this embodiment specifically involves transmitting the logistics data multiple times, and the number of transmissions of the redundant transmission described in this embodiment is 3 times.
[0159] Specifically, the security alarm module analyzes the data security status based on the logistics data received by the cloud server and issues an alarm to the user based on the analysis results;
[0160] The security alarm module decrypts the logistics data and generates a second hash value for each data tuple in the decrypted logistics data using a hash algorithm;
[0161] The security alarm unit compares the first hash value with the second hash value, and determines the security status of the data tuple according to the comparison result, wherein:
[0162] When the first hash value is equal to the second hash value, the security alarm unit determines that the security status of the data tuple is safe;
[0163] When the first hash value is not equal to the second hash value, the security alarm unit determines that the security state of the data tuple is unsafe;
[0164] The safety alarm module counts the number of data tuples N2 whose safety status is safe, and calculates the data abnormality ratio v according to the statistical results, setting v=N2 / N3, where N3 is the total number of data tuples in the logistics data;
[0165] The security alarm module analyzes the data security status according to the data anomaly ratio v, and warns the user according to the analysis result, wherein:
[0166] When v<V1, the security alarm module determines that the data security status of the logistics data is safe and does not alarm the user;
[0167] When V1≤v<V2, the security alarm module determines that the security status of the logistics data is risky and issues a risk alarm to the user;
[0168] When v≥V2, the security alarm module determines that the security status of the logistics data is risky and issues a danger alarm to the user;
[0169] Wherein, V1 is a first preset abnormal data ratio, V2 is a second preset abnormal data ratio, and V1<V2.
[0170] Specifically, the security alarm module analyzes the data security status according to the logistics data received by the cloud server, and alarms the user according to the analysis results, thereby improving the security of logistics information transmission; it can be understood that this embodiment does not specifically limit the values of the first preset abnormal data ratio V1 and the second preset abnormal data ratio V2, and technical personnel in this field can set them freely, as long as the value requirements of the first preset abnormal data ratio V1 and the second preset abnormal data ratio V2 are met. For example, the first preset abnormal data ratio V1 can be set to 0.001, and the second preset abnormal data ratio V2 can be set to 0.005.
[0171] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.
Claims
1. A logistics information transmission security monitoring system, characterized in that: include, Data acquisition module, used to obtain cargo logistics information, logistics site information and environmental parameters within the monitoring period; A data analysis module is used to analyze the logistics and distribution status of goods according to the logistics information of goods within the monitoring period, and to analyze the inventory status of logistics sites according to the analysis results of the logistics and distribution status of goods and the logistics site information; A data encryption module is used to analyze the logistics data according to the logistics distribution status analysis results of the goods within the monitoring period and the inventory status analysis results of the logistics sites, and to encrypt the logistics data; The transmission status monitoring module is used to analyze the transmission signal status according to the environmental parameters within the monitoring period, and analyze the data transmission mode of the logistics data according to the analysis results of the transmission signal status; A data transmission module is used to transmit the encrypted logistics data to the cloud server according to the data transmission mode analysis results of the logistics data; The security alarm module is used to analyze the data security status based on the logistics data received by the cloud server and to alert the user based on the analysis results; The transmission status monitoring module is provided with a transmission status monitoring unit, and the transmission status monitoring unit is used to analyze the transmission signal status according to the environmental parameters within the monitoring period; The transmission status monitoring unit calculates the signal quality coefficient α according to the environmental parameters within the monitoring period. The calculation formula of the signal quality coefficient α is as follows: α=ln{1+SSI / C(SSI)+[SNR-C(SNR)] / C(SNR)}; Among them, SSI is the signal strength indicator value, SNR is the signal-to-noise ratio, C (SSI) is the standard signal strength indicator value, and C (SNR) is the standard communication signal-to-noise ratio; The transmission status monitoring unit compares the signal quality coefficient α with the preset quality coefficient A, and analyzes the transmission signal status of the logistics site according to the comparison result, wherein: When α<A, the transmission status monitoring unit determines that the transmission signal status of the logistics site within the monitoring period is abnormal; When α≥A, the transmission status monitoring unit determines that the transmission signal status of the logistics site within the monitoring period is normal; The transmission status monitoring module is provided with an interference adjustment unit, which is used to compare the communication interference coefficient β with the preset interference coefficient P during the monitoring period, and analyze the interference status according to the comparison result. The interference adjustment unit is also used to adjust the transmission signal status analysis process of the logistics site according to the analysis result of the interference status, wherein: When β<P, the interference adjustment unit determines that the interference state of the logistics site within the monitoring period is normal and does not make any adjustment; When β≥P, the interference adjustment unit determines that the interference state of the logistics site within the monitoring period is abnormal, and adjusts the first preset quality coefficient to A1', setting A1'=A1×{1-arctan[(β-P) / P]}; The transmission status monitoring module is also provided with an optimization unit, which is used to compare the wavelength ω of the frequency band signal of the logistics site within the monitoring period with the wavelength Ω of the communication frequency band signal, and judge the adjacent channels according to the comparison result, wherein: When When (Ω×(1-η), Ω×(1+η)), the optimization unit determines that the frequency band signal is an adjacent channel; When When (Ω×(1-η), Ω×(1+η)), the optimization unit determines that the frequency band signal is a non-adjacent channel; Where η is the neighboring offset coefficient, 0<η≤0.1; The optimization unit counts the number N1 of adjacent channels in each frequency band signal of the logistics site; The optimization unit compares the number of adjacent channels with the channel number threshold NK, and optimizes the transmission signal state adjustment process of the logistics site according to the comparison result, wherein: When N1<NK, the optimization unit determines that the number of adjacent channels is normal and does not perform optimization; When N1≥NK, the optimization unit determines that the number of adjacent channels is abnormal, and optimizes the preset receiving power to P', setting P'=P×exp{-(N1-NK) / NK}; The transmission status monitoring module is further provided with a mode analysis unit, and the mode analysis unit is used to analyze the data transmission mode according to the analysis result of the transmission signal state, wherein: When the transmission signal state of the logistics site is normal, if γ≥Y, the mode analysis unit sets the data transmission mode to fast transmission; if γ<Y, the mode analysis unit sets the data transmission mode to normal transmission; When the transmission signal state of the logistics site is abnormal, if γ≥Y, the mode analysis unit sets the data transmission mode to low-speed transmission; if γ<Y, the mode analysis unit sets the data transmission mode to redundant transmission; Wherein, γ is the communication transmission rate coefficient, and Y is the preset communication transmission rate coefficient; The data transmission module transmits the logistics data to the cloud server according to the analysis results of the data transmission mode, wherein: When the data transmission mode is fast transmission, the data transmission module sets the data transmission frequency to W1, W1=W, and sets the transmission data packet size to R1, R1=R; When the data transmission mode is normal transmission, the data transmission module sets the data transmission frequency to W2, setting W2=W×[1+(α-A) / A], and sets the transmission data packet size to R2, setting R2=R; When the data transmission mode is low-speed transmission, the data transmission module sets the data transmission frequency to W3, setting W3=W×cos[(A-α) / A], and sets the transmission data packet size to R3, setting R3=R×{1-arctan[(γ-Y) / Y]}; When the data transmission mode is redundant transmission, the data transmission module sets the data transmission frequency to W4, setting W4=W×cos[(A-α) / A], and sets the transmission data packet size to R4, setting R4=R×{1-arctan[(γ-Y) / Y]}; Wherein, W is the preset transmission frequency, and R is the preset transmission data packet size.
2. The logistics information transmission security monitoring system according to claim 1 is characterized in that: The data analysis module is provided with a logistics analysis unit, and the logistics analysis unit is used to analyze the logistics distribution status of the goods according to the logistics information of the goods within the monitoring period; The logistics analysis unit analyzes the logistics distribution status of the goods according to the abnormality of the logistics location of the goods and the abnormality of the logistics time of the goods, wherein: When the abnormality of the logistics location of the goods is normal and the abnormality of the logistics time of the goods is normal, the logistics analysis unit determines that the logistics distribution status of the goods is normal; When the abnormality of the logistics location of the goods is abnormal and the abnormality of the logistics time of the goods is normal, the logistics analysis unit determines that the logistics delivery status of the goods is a wrong delivery location; When the abnormality of the logistics location of the goods is normal and the abnormality of the logistics time of the goods is normal, the logistics analysis unit determines that the logistics distribution status of the goods is overtime abnormal; When the abnormality of the logistics location of the goods is abnormal and the abnormality of the logistics time of the goods is abnormal, the logistics analysis unit determines that the logistics delivery status of the goods is abnormal delivery.
3. The logistics information transmission security monitoring system according to claim 2 is characterized in that: The data analysis module is further provided with an inventory analysis unit, which is used to count the number of goods n1 whose logistics distribution status is normal in the logistics site, the number of goods n2 whose logistics distribution status is wrong in the delivery location, the number of goods n3 whose logistics distribution status is abnormal overtime, and the number of goods n4 whose logistics distribution status is abnormal delivery; The inventory analysis unit analyzes the inventory status of the logistics site according to the statistical results and the cargo capacity n of the logistics site, wherein: When n1+n2+n3+n4<n, the inventory analysis unit determines that the inventory status of the logistics site within the monitoring period is normal; When n1+n2+n3+n4≥n, if (n2+n3+n4) / n1<μ, the inventory analysis unit determines that the inventory status of the logistics site during the monitoring period is probabilistically abnormal; if (n2+n3+n4) / n1≥μ, the inventory analysis unit determines that the inventory status of the logistics site during the monitoring period is generally abnormal; Among them, μ is the preset inventory abnormality ratio coefficient, 0<μ<0.
1.
4. The logistics information transmission security monitoring system according to claim 3 is characterized in that: The data encryption module is provided with a data integration unit, which is used to integrate the logistics data according to the logistics distribution status analysis results of the goods and the inventory status analysis results of the logistics site, wherein: When the logistics and delivery status of the goods is normal, the data integration unit uses the order number of the goods as the transmission information of the goods; When the logistics distribution status of the goods is timeout abnormal, the data integration unit uses the order number of the goods and the updated logistics time t(i) as the transmission information of the goods, and sets t(i)=ht(i); When the logistics delivery status of the goods is that the delivery location is wrong, the data integration unit uses the order number and the next logistics site number of the goods as the transmission information of the goods; When the logistics distribution status of the goods is abnormal distribution, the data integration unit uses the order number of the goods, the updated logistics time t(i) and the next logistics site number as the transmission information of the goods; The data integration module uses the transmission information of each cargo in the logistics site, the inventory status analysis result of the logistics site and the site number of the logistics site as logistics data.
5. The logistics information transmission security monitoring system according to claim 4 is characterized in that: The security alarm module analyzes the data security status based on the logistics data received by the cloud server and issues an alarm to the user based on the analysis results; The safety alarm module counts the number of data tuples N2 whose safety status is safe, and calculates the data abnormality ratio v according to the statistical results, setting v=N2 / N3, where N3 is the total number of data tuples in the logistics data; The security alarm module analyzes the data security status according to the data anomaly ratio v, and warns the user according to the analysis result, wherein: When v<V1, the security alarm module determines that the data security status of the logistics data is safe and does not alarm the user; When V1≤v<V2, the security alarm module determines that the security status of the logistics data is risky and issues a risk alarm to the user; When v≥V2, the security alarm module determines that the security status of the logistics data is risky and issues a danger alarm to the user; Wherein, V1 is a first preset abnormal data ratio, V2 is a second preset abnormal data ratio, and V1<V2.
