Intelligent logistics data supervision method and system based on wireless communication

Abstract

The present invention discloses an intelligent logistics data supervision method and system based on wireless communication, which relates to the field of wireless communication, and solves the problem that the prior art ignores the adverse effects of the internal and external environments of a logistics cargo hold on the packaging strength of goods. The method steps are as follows: a logistics terminal inputs logistics order information of logistics goods; a cargo analysis module analyzes the packaging strength of logistics goods; a logistics monitoring module monitors the cargo hold of a logistics vehicle where the logistics goods are located in real time, and sends the real-time status data of the logistics vehicle obtained through the monitoring to a transportation analysis module through a server; the transportation analysis module conducts a comprehensive analysis of the logistics transportation process of the logistics goods; the logistics terminal feeds back the status of the logistics goods to the driver of the logistics vehicle in real time, and the driver adjusts the driving status of the logistics vehicle according to the feedback. The present invention realizes intelligent safety warning of logistics goods based on all-round data monitoring.

Description

Technical Field

[0001] The present invention belongs to the field of wireless communications, and relates to logistics data monitoring technology, and specifically to an intelligent logistics data monitoring method and system based on wireless communications. Background Art

[0002] Wireless communication is a communication method that modulates the electrical signals such as sound, text, data, and images to be transmitted on radio waves and transmits them to the other party through space and ground. It is a communication method that uses radio electromagnetic waves to transmit information in space. With the development of science and technology, the application field of wireless communication technology is constantly expanding. In the current logistics field, the application of wireless communication is particularly extensive.

[0003] At present, the supervision of logistics data usually focuses on the tracking and positioning of logistics location and logistics speed, as well as real-time monitoring and early warning of the status of goods during the logistics process. For example, in the application for the publication number:

[0004] The Chinese patent "CN113947345A" discloses "an intelligent logistics supervision system". This solution monitors the collision of logistics goods, but the existing technologies all ignore the adverse effects of the internal and external environment of the logistics cargo hold on the packaging strength of the goods, making it difficult to ensure the accuracy and timeliness of the early warning results;

[0005] To this end, we propose an intelligent logistics data supervision method and system based on wireless communication. Summary of the invention

[0006] In view of the deficiencies in the prior art, the object of the present invention is to provide an intelligent logistics data monitoring method and system based on wireless communication.

[0007] The technical problems to be solved by the present invention are:

[0008] How to achieve intelligent safety warning for logistics shipments based on all-round data monitoring.

[0009] In order to achieve the above object, the present invention adopts the following technical solutions:

[0010] The intelligent logistics data supervision method based on wireless communication, the method steps are as follows:

[0011] Step S10, the logistics terminal enters the logistics order information of the logistics shipment, and sends the logistics order information to the shipment analysis module through the server;

[0012] Step S20, the cargo analysis module analyzes the packaging strength of the logistics cargo, and sends the collision damage coefficient, normal strength value, and poor strength value of the logistics cargo obtained by the analysis to the transportation analysis module through the server;

[0013] Step S30, the logistics monitoring module monitors the cargo compartment of the logistics vehicle where the logistics goods are located in real time, and sends the real-time status data of the logistics vehicle obtained by monitoring to the transportation analysis module through the server;

[0014] Step S40, the transportation analysis module conducts a comprehensive analysis on the logistics transportation process of the logistics goods, and sends the collision warning signal or cargo hold inspection signal generated by the analysis to the logistics terminal through the server;

[0015] Step S50, the logistics terminal provides real-time feedback on the status of the logistics shipment to the driver of the logistics vehicle, and the driver adjusts the driving conditions of the logistics vehicle according to the feedback.

[0016] Furthermore, the logistics order information includes the order number, weight, length, width, height of the logistics shipment, and the packaging thickness, toughness value, rigidity value and suitability value of the packaging of the logistics shipment.

[0017] Furthermore, the process of obtaining the packaging toughness value, packaging rigidity value and packaging suitability value is specifically as follows:

[0018] Take several packages of the same batch and the same model of logistics goods for quality testing, and divide the packages into a first test group, a second test group and a third test group;

[0019] A tearing test is performed on the package of the first test group. Two pulling forces of equal magnitude and opposite directions are applied to both ends of the package. The pulling forces at both ends are gradually increased until the package of the goods is torn. The test pulling force value of the package of the goods is recorded. The tearing pulling force values ​​of each package of the first test group are added and averaged. The calculated value is marked as the packaging toughness value of the corresponding package of the logistics goods.

[0020] A pressure test is performed on the package of the second test group. A pressure perpendicular to the surface of the package is applied to the package. The pressure is gradually increased until the depth of the depression on the package reaches half of the package thickness. The test pressure value of the package is recorded. The test pressure values ​​of each package in the second test group are added and averaged. The calculated value is marked as the package rigidity value of the corresponding package of the logistics shipment.

[0021] A waterproof test was conducted on the cargo packaging of the third test group. The cargo packaging was immersed in a test water tank with the same specifications and consistent water level. The water level of the test water tank can completely immerse the cargo packaging. After the cargo packaging has been immersed for a period of time, the water level drop value of each test water tank was recorded, and the water level drop values ​​of each test water tank were added and averaged to obtain the average water level drop value of the test water tank, and the packaging suitability value of the cargo packaging corresponding to the logistics cargo was calculated.

[0022] Furthermore, the specific process of packaging suitability value is as follows:

[0023] Packaging suitability value = 1 / (average water level drop value × test water tank bottom area).

[0024] Furthermore, the analysis process of the cargo analysis module in step S20 is specifically as follows:

[0025] Step S201, obtaining the weight, length, width and height of a logistics shipment, and calculating the density of the logistics shipment;

[0026] Step S202, obtaining the packaging thickness, packaging toughness value, packaging rigidity value and packaging suitability value of the corresponding package of the logistics shipment, and calculating the normal strength value and the deteriorated strength value of the logistics shipment;

[0027] Step S203, comparing the cargo density of the logistics cargo with the standard density range, and determining whether the collision damage coefficient of the logistics cargo is the first collision damage coefficient, the second collision damage coefficient, or the third collision damage coefficient.

[0028] Furthermore, the normal strength value is used to reflect the packaging strength of logistics goods in a normal temperature and dry environment;

[0029] The inferior strength value is used to reflect the packaging strength of logistics goods in an unsuitable temperature or unsuitable humidity environment. The inferior strength value of the goods packaging is greater than the normal strength value of the goods packaging;

[0030] The first collision damage coefficient is smaller than the second collision damage coefficient, and the second collision damage coefficient is smaller than the third collision damage coefficient. The collision loss coefficient is used to reflect the severity of damage to the logistics cargo itself or the cargo packaging when the logistics cargo is bumped or collided during transportation.

[0031] Furthermore, the real-time status data includes the real-time speed of the logistics vehicle, the real-time cargo hold temperature, real-time cargo hold humidity and real-time cargo hold amplitude of the cargo hold in the logistics vehicle, the real-time positions of deformation monitoring points and pressure monitoring points in the logistics cargo loaded by the logistics vehicle, and the real-time pressure values ​​of the surfaces where the pressure monitoring points in the logistics cargo loaded by the logistics vehicle are located.

[0032] Furthermore, in step S40, the analysis process of the transportation analysis module is as follows:

[0033] Step S401, obtaining the real-time cargo hold temperature and real-time cargo hold humidity of the logistics vehicle, and determining whether the real-time cargo hold humidity belongs to the standard temperature range;

[0034] Step S402, if the real-time cargo hold humidity is not within the standard temperature range, it is determined that the cargo hold environment of the logistics vehicle is in a poor state cargo hold environment and the poor state strength value of the logistics cargo is obtained;

[0035] Step S403: if the real-time cargo hold humidity is within the standard temperature range, determine whether the real-time cargo hold temperature is within the standard temperature range; if the real-time cargo hold temperature is within the standard temperature range, determine that the cargo hold environment of the logistics vehicle is within the normal cargo hold environment and obtain the normal strength value of the logistics cargo; if the real-time cargo hold temperature is not within the standard temperature range, determine that the cargo hold environment of the logistics vehicle is within the inferior cargo hold environment and obtain the inferior strength value of the logistics cargo;

[0036] Step S404, marking the normal strength value of the logistics cargo or the poor strength value of the logistics cargo as the turbulence tolerance threshold, obtaining the real-time speed and real-time cargo hold amplitude of the logistics vehicle, and calculating the cargo hold turbulence index of the logistics vehicle;

[0037] Step S405, comparing the cargo hold turbulence index of the logistics vehicle with the turbulence tolerance threshold of the logistics cargo;

[0038] Step S406: if the cargo hold turbulence index is less than the turbulence tolerance threshold of all logistics shipments, a normal shipment signal is generated;

[0039] If the cargo hold turbulence index is greater than or equal to the turbulence tolerance threshold of any logistics cargo, the real-time position of the deformation monitoring point on each logistics cargo in the logistics cargo hold is obtained, and then the real-time offset distance between the deformation monitoring point and the pressure monitoring point on the logistics cargo is calculated;

[0040] Step S407: if the real-time offset distance between any deformation monitoring point and any pressure monitoring point in the logistics shipment is not zero, a collision warning signal is generated;

[0041] If the real-time offset distances of all deformation monitoring points and all pressure monitoring points in the logistics shipment are zero, proceed to the subsequent steps;

[0042] Step S408, monitoring the real-time positions of the deformation monitoring points and the pressure monitoring points in each logistics cargo in the logistics cargo hold at different time points, and then calculating the unit displacement distance of the deformation monitoring points and the pressure monitoring points in the logistics cargo within a unit time length;

[0043] Step S409, comparing the unit displacement distance of the deformation monitoring point and the pressure monitoring point in the logistics cargo within the unit time with the displacement distance threshold; if the unit displacement distance is less than or equal to the first displacement distance threshold, no operation is performed; if the unit displacement distance is greater than the first displacement distance threshold and less than or equal to the second displacement distance threshold, a collision warning signal is generated; if the unit displacement distance is greater than the second displacement distance threshold, a cargo hold inspection signal is generated;

[0044] The values ​​of the first displacement distance threshold and the second displacement distance threshold are both greater than zero, and the first displacement distance threshold is less than the second displacement distance threshold.

[0045] Furthermore, the specific working process of the logistics terminal in step S50 includes:

[0046] Step S501: If a collision warning signal is received, the driver will slow down the logistics vehicle to avoid collision damage to the logistics goods in the cargo hold;

[0047] Step S502: If a cargo hold inspection signal is received, the driver must inspect the logistics goods in the cargo hold for damage due to collisions, provided that road safety conditions permit.

[0048] The second aspect is the intelligent logistics data supervision system based on wireless communication, including:

[0049] The logistics terminal is used to input the logistics order information of the logistics shipment and send it to the server, and the server sends the logistics order information to the shipment analysis module;

[0050] The cargo analysis module is used to analyze the packaging strength of the logistics cargo, and the collision damage coefficient, normal strength value and inferior strength value of the logistics cargo are obtained by analysis and sent to the server, and the server sends the collision damage coefficient, normal strength value and inferior strength value of the logistics cargo to the transportation analysis module;

[0051] The logistics monitoring module is used to monitor the cargo compartment of the logistics vehicle where the logistics goods are located in real time, and send the real-time status data of the logistics vehicle obtained through monitoring to the server, and the server sends the real-time status information of the logistics vehicle to the transportation analysis module;

[0052] The transportation analysis module is used to conduct a comprehensive analysis of the logistics transportation process of the logistics goods, and send the collision warning signal or cargo hold inspection signal generated by the analysis to the server, and the server sends the collision warning signal or cargo hold inspection signal to the logistics terminal;

[0053] The logistics terminal is also used to provide real-time feedback on the status of logistics shipments to the drivers of logistics vehicles.

[0054] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0055] The present invention utilizes wireless communication technology to establish communication connections between logistics vehicles, logistics management terminals, and servers. On the one hand, the logistics terminal is used to input logistics order information of logistics goods, and the logistics order information is sent to the goods analysis module. The goods analysis module analyzes the packaging strength of the logistics goods, and the collision damage coefficient, normal strength value, and poor strength value of the logistics goods obtained by the analysis are sent to the transportation analysis module. On the other hand, the logistics monitoring module in the logistics vehicle monitors the cargo hold of the logistics vehicle where the logistics goods are located in real time, and the real-time status data of the logistics vehicle obtained by monitoring is sent to the transportation analysis module. The transportation analysis module combines the two sets of data to conduct a comprehensive analysis of the logistics transportation process of the logistics goods, generates a collision warning signal or a cargo hold inspection signal and sends it to the logistics terminal. The logistics terminal feeds back the status of the logistics goods to the driver of the logistics vehicle in real time, and the driver adjusts the driving status of the logistics vehicle according to the feedback. The present invention realizes intelligent safety warning of logistics goods based on all-round data monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0057] Figure 1 is a flow chart of the method of the present invention;

[0058] Figure 2 It is a scene schematic diagram of the present invention;

[0059] Figure 3 is the overall system block diagram of the present invention;

[0060] Figure 4 It is a schematic diagram of the structure of the cargo hold space coordinate system in the present invention;

[0061] Figure 5 It is a schematic diagram of the structure of the logistics shipment in the present invention. DETAILED DESCRIPTION

[0062] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0063] Embodiment 1:

[0064] See also Figure 1-Figure 5 As shown, the present invention provides a technical solution: an intelligent logistics data supervision method based on wireless communication, which is applied to the transportation process monitoring of logistics goods, the logistics goods include packaged commodity goods, industrial raw materials, food, agricultural products and other types of goods, and the logistics goods are packaged by the goods packaging;

[0065] Specifically, the above method steps are as follows:

[0066] Step S10, the logistics terminal enters the logistics order information of the logistics shipment and sends it to the server, and the server sends the logistics order information to the shipment analysis module;

[0067] It should be specifically noted that the logistics order information includes the order number, weight, length, width and height of the logistics shipment, as well as the packaging thickness, toughness value, rigidity value and suitability value of the corresponding shipment packaging of the logistics shipment;

[0068] In this embodiment, the packaging toughness value, packaging rigidity value and packaging suitability value of the logistics shipment corresponding to the shipment packaging are obtained by the quality test of the shipment packaging when it leaves the factory. The quality test process specifically includes:

[0069] Take several packages of the same batch and the same model of logistics goods for quality testing, and divide the packages into a first test group, a second test group and a third test group;

[0070] A tearing test is performed on the package of the first test group. Two pulling forces of equal magnitude and opposite directions are applied to both ends of the package. The pulling forces at both ends are gradually increased until the package of the goods is torn. The test pulling force value of the package of the goods is recorded. The tearing pulling force values ​​of each package of the first test group are added and averaged. The calculated value is marked as the packaging toughness value of the corresponding package of the logistics goods.

[0071] A pressure test is performed on the package of the second test group. A pressure perpendicular to the surface of the package is applied to the package. The pressure is gradually increased until the depth of the depression on the package reaches half of the package thickness. The test pressure value of the package is recorded. The test pressure values ​​of each package in the second test group are added and averaged. The calculated value is marked as the package rigidity value of the corresponding package of the logistics shipment.

[0072] The third test group's package was subjected to a waterproof test. The package was immersed in a test water tank with the same specifications and the same water level. The water level of the test water tank can completely immerse the package. After the package was immersed for a period of time, the water level drop value of each test water tank was recorded. The water level drop values ​​of each test water tank were added and averaged to obtain the average water level drop value of the test water tank. The packaging suitability value of the corresponding package was calculated according to the formula. The specific formula is as follows:

[0073] Packaging suitability value = 1 / (average water level drop value × test water tank bottom area);

[0074] The logistics terminal is specifically an electronic device such as a mobile phone, tablet or vehicle-mounted central control that can communicate data via Wi-Fi, Bluetooth or mobile communication network. The logistics terminal can select an appropriate wireless communication method according to the actual working process. The order number is the unique identification number of the logistics shipment. The packaging toughness value is used to reflect the tear resistance of the shipment packaging. The packaging rigidity value is used to reflect the compression resistance, impact resistance and deformation resistance of the shipment packaging. The packaging suitability value is used to reflect the waterproof, high temperature resistance and cold resistance of the shipment packaging. The packaging suitability value ranges from (0, 1], and the larger the value of the above value, the better the corresponding performance.

[0075] Step S20, the cargo analysis module analyzes the packaging strength of the logistics cargo, and sends the collision damage coefficient, normal strength value and inferior strength value of the logistics cargo obtained by the analysis to the server, and the server sends the collision damage coefficient, normal strength value and inferior strength value of the logistics cargo to the transportation analysis module;

[0076] In step S20, the analysis process of the cargo analysis module is as follows:

[0077] Step S201, obtain the weight HGi, length HLi, width HWi and height HTi of the logistics shipment, where i corresponds to the serial number of the logistics shipment, the upper limit of i is n, and the value of n is equal to the number of logistics shipments. The shipment density HPi of the logistics shipment is calculated according to the formula, and the specific formula is as follows:

[0078] HPi=HGi / (HLi×HWi×HTi);

[0079] Step S202, obtain the packaging thickness HDi, packaging toughness value RXi, packaging rigidity value GXi and packaging suitability value FSi of the corresponding cargo packaging of the logistics cargo, and calculate the normal strength value CTi and the deteriorated strength value LTi of the logistics cargo according to the formula, the specific formula is as follows:

[0080] CTi=(GXi+RXi+FSi)×a1+HDi×a2;

[0081] LTi=CTi×β;

[0082] Among them, a1 and a2 are weight coefficients with fixed values, and a1>a2, β is the environmental impact coefficient, β>1, the normal strength value is used to reflect the packaging strength of logistics goods in a normal temperature and dry environment, and the inferior strength value is used to reflect the packaging strength of logistics goods in an unsuitable temperature or unsuitable humidity environment. It can be understood that the inferior strength value of the goods packaging is always greater than the normal strength value;

[0083] Step S203, at the same time, the cargo density of the logistics cargo is compared with the standard density interval. If the value of the cargo density belongs to the first standard density interval, the collision damage coefficient of the logistics cargo is determined to be the first collision damage coefficient; if the value of the cargo density belongs to the second standard density interval, the collision damage coefficient of the logistics cargo is determined to be the second collision damage coefficient; if the value of the cargo density belongs to the third standard density interval, the collision damage coefficient of the logistics cargo is determined to be the third collision damage coefficient;

[0084] Among them, the values ​​of the standard density intervals are all greater than zero, the values ​​of the first standard density interval are all smaller than the values ​​of the second standard density interval, the values ​​of the second standard density interval are all smaller than the values ​​of the third standard density interval, the first collision damage coefficient is smaller than the second collision damage coefficient, and the second collision damage coefficient is smaller than the third collision damage coefficient;

[0085] It is understandable that the collision loss coefficient is used to reflect the severity of damage to the goods themselves or the goods packaging when the goods are bumped or collided during transportation. For example, when the degree of bumping of the goods is the same during transportation, the greater the value of the collision damage coefficient, the more serious the damage to the goods;

[0086] Step S30, the logistics monitoring module monitors the cargo compartment of the logistics vehicle where the logistics goods are located in real time, and sends the real-time status data of the logistics vehicle obtained by monitoring to the server, and the server sends the real-time status information of the logistics vehicle to the transportation analysis module;

[0087] In this embodiment, the logistics goods are all affixed with RFID tags on the surface of the goods packaging. The RFID tags realize wireless communication with the server and the logistics terminal through radio signals. The logistics goods are loaded in the cargo hold of the logistics vehicle, and the logistics vehicle is used to transport the logistics goods.

[0088] In step S30, the real-time monitoring process of the logistics monitoring module is as follows:

[0089] Step S301, monitor the real-time status data of the logistics vehicle, the real-time status data includes the real-time speed of the logistics vehicle, the real-time cargo hold temperature, real-time cargo hold humidity and real-time cargo hold amplitude of the cargo hold in the logistics vehicle, the real-time position of the deformation monitoring point and the pressure monitoring point in the logistics cargo loaded by the logistics vehicle, and the real-time pressure value of the surface where the pressure monitoring point in the logistics cargo loaded by the logistics vehicle is located. The pressure monitoring point can monitor the deformation and the pressure;

[0090] In this embodiment, an RFID reader is installed in the cargo hold of the logistics vehicle, and the cargo is located and identified by the existing RFID technology. A thermometer, a hygrometer and a vibrometer are also provided in the cargo hold to monitor the real-time cargo hold temperature, real-time cargo hold humidity and real-time cargo hold amplitude. The real-time speed of the logistics vehicle is obtained through the speedometer of the logistics vehicle. The RFID reader, the thermometer, the hygrometer and the vibrometer are all connected to the wireless communication network;

[0091] Step S302, as Figure 4 and Figure 5 As shown, a cargo hold space coordinate system is constructed with the geometric center of the cargo hold bottom in the logistics vehicle as the origin. The horizontal axis and the vertical axis of the cargo hold space coordinate system are both on the plane of the cargo hold bottom. The vertical axis of the cargo hold space passes through the origin and is perpendicular to the cargo hold bottom. It is used to obtain the real-time positions of the deformation monitoring points and the pressure monitoring points in the logistics cargo loaded by the logistics vehicle. At the same time, a micro pressure sensor is set at the location of the pressure monitoring point to monitor the real-time pressure value of the surface where the pressure monitoring point is located.

[0092] For example Figure 5 As shown, taking a logistic cargo in the shape of a cuboid as an example, the deformation monitoring points of the logistic cargo are the corners of the cuboid, and the pressure monitoring points are at the geometric center points of each face of the cuboid;

[0093] Step S40, the transportation analysis module conducts a comprehensive analysis on the logistics transportation process of the logistics goods, and sends the collision warning signal or cargo hold inspection signal generated by the analysis to the server, and the server sends the collision warning signal or cargo hold inspection signal to the logistics terminal;

[0094] In step S40, the analysis process of the above-mentioned transportation analysis module is specifically as follows:

[0095] Step S401, obtaining the real-time cargo hold temperature and real-time cargo hold humidity of the logistics vehicle, and determining whether the real-time cargo hold humidity belongs to the standard temperature range;

[0096] Step S402, if the real-time cargo hold humidity is not within the standard temperature range, it is determined that the cargo hold environment of the logistics vehicle is in a poor state cargo hold environment and the poor state strength value of the logistics cargo is obtained;

[0097] Step S403: if the real-time cargo hold humidity is within the standard temperature range, determine whether the real-time cargo hold temperature is within the standard temperature range; if the real-time cargo hold temperature is within the standard temperature range, determine that the cargo hold environment of the logistics vehicle is within the normal cargo hold environment and obtain the normal strength value of the logistics cargo; if the real-time cargo hold temperature is not within the standard temperature range, determine that the cargo hold environment of the logistics vehicle is within the inferior cargo hold environment and obtain the inferior strength value of the logistics cargo;

[0098] Step S404: mark the normal strength value or the deteriorated strength value of the logistics cargo as the turbulence tolerance threshold, obtain the real-time rate SV and the real-time cargo hold amplitude SZ of the logistics vehicle, and calculate the cargo hold turbulence index DB of the logistics vehicle according to the formula. The specific formula is as follows:

[0099] DB = SV × s1 + SZ × s2, where s1 and s2 are weight coefficients with fixed values, the values ​​of s1 and s2 are both greater than zero, and s1 + s2 = 1;

[0100] Step S405, comparing the cargo hold turbulence index of the logistics vehicle with the turbulence tolerance threshold of the logistics cargo;

[0101] Step S406: If the cargo hold turbulence index is less than the turbulence tolerance threshold of all logistics cargoes, a normal cargo signal is generated; if the cargo hold turbulence index is greater than or equal to the turbulence tolerance threshold of any logistics cargo, the real-time position WZir (xir, yir, zir) of the deformation monitoring point on each logistics cargo in the logistics cargo hold is obtained, where r is the point number of the deformation monitoring point and the pressure monitoring point, and r is a non-zero natural number. The real-time offset distance PYir of the deformation monitoring point and the pressure monitoring point on the logistics cargo is calculated according to the formula, and the specific formula is as follows:

[0102] Where (xir0, yir0, zir0) is the initial position of the deformation monitoring point and the pressure monitoring point;

[0103] Step S407: if the real-time offset distance between any deformation monitoring point and any pressure monitoring point in the logistics shipment is not zero, a collision warning signal is generated; if the real-time offset distance between all deformation monitoring points and all pressure monitoring points in the logistics shipment is zero, the subsequent steps are performed;

[0104] Among them, when the real-time offset distance is not zero, it means that the packaging of the logistics shipment is dented, damaged, or even causes irreversible damage to the logistics shipment itself;

[0105] Step S408, continuously monitor the real-time positions of the deformation monitoring points and pressure monitoring points in each logistics cargo in the logistics cargo hold, and calculate the unit displacement distance WYir of the deformation monitoring points and pressure monitoring points in the logistics cargo within a unit time according to the distance formula. The specific formula is as follows:

[0106]

[0107] Among them, WZi'r (xi'r, yi'r, zi'r) is the cargo location coordinates of the logistics cargo at the previous moment, and the time interval between WZir and WZi'r is a fixed value unit time length;

[0108] Step S409, comparing the unit displacement distance of the deformation monitoring point and the pressure monitoring point in the logistics cargo within the unit time with the displacement distance threshold; if the unit displacement distance is less than or equal to the first displacement distance threshold, no operation is performed; if the unit displacement distance is greater than the first displacement distance threshold and less than or equal to the second displacement distance threshold, a collision warning signal is generated; if the unit displacement distance is greater than the second displacement distance threshold, a cargo hold inspection signal is generated;

[0109] Wherein, the values ​​of the first displacement distance threshold and the second displacement distance threshold are both greater than zero, and the first displacement distance threshold is less than the second displacement distance threshold;

[0110] Step S50, the logistics terminal provides real-time feedback of the logistics shipment to the driver of the logistics vehicle, and the driver adjusts the driving of the logistics vehicle according to the feedback;

[0111] In this embodiment, the specific working process of the logistics terminal in the above step S50 includes:

[0112] Step S501: If a collision warning signal is received, the driver will slow down the logistics vehicle to avoid collision damage to the logistics goods in the cargo hold;

[0113] Step S502: If a cargo hold inspection signal is received, the driver needs to inspect the cargo in the cargo hold for damage if road safety conditions permit.

[0114] In this application, if a corresponding calculation formula appears, the above calculation formula is dimensionless and takes its numerical calculation. The weight coefficient, proportional coefficient and other coefficients in the formula are set to a result value obtained by quantifying each parameter. The size of the weight coefficient and the proportional coefficient is not affected as long as the proportional relationship between the parameter and the result value is not affected.

[0115] Embodiment 2:

[0116] See also Figure 2 and Figure 3 As shown, based on another concept of the present invention, an intelligent logistics data supervision system based on wireless communication is proposed, including:

[0117] A logistics terminal wirelessly connected to the server and the logistics vehicle is used to input logistics order information of logistics shipments and send it to the server, and the server sends the logistics order information to the shipment analysis module;

[0118] The cargo analysis module is used to analyze the packaging strength of the logistics cargo, and the collision damage coefficient, normal strength value and inferior strength value of the logistics cargo are obtained by analysis and sent to the server, and the server sends the collision damage coefficient, normal strength value and inferior strength value of the logistics cargo to the transportation analysis module;

[0119] The logistics monitoring module is used to monitor the cargo compartment of the logistics vehicle where the logistics goods are located in real time, and send the real-time status data of the logistics vehicle obtained through monitoring to the server, and the server sends the real-time status information of the logistics vehicle to the transportation analysis module;

[0120] The transportation analysis module is used to conduct a comprehensive analysis of the logistics transportation process of the logistics goods, and send the collision warning signal or cargo hold inspection signal generated by the analysis to the server, and the server sends the collision warning signal or cargo hold inspection signal to the logistics terminal;

[0121] The logistics terminal, which is wirelessly connected to the server and the logistics vehicle, is also used to provide real-time feedback on the status of the logistics shipment to the driver of the logistics vehicle, and the driver adjusts the driving conditions of the logistics vehicle based on the feedback.

[0122] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An intelligent logistics data supervision method based on wireless communication, characterized in that: The specific steps of the method are as follows: Step S10, the logistics terminal enters the logistics order information of the logistics shipment, and sends the logistics order information to the shipment analysis module via the server; Step S20, the cargo analysis module analyzes the packaging strength of the logistics cargo, and sends the collision damage coefficient, normal strength value and poor strength value of the logistics cargo obtained by the analysis to the transportation analysis module via the server; Step S30, the logistics monitoring module monitors the cargo compartment of the logistics vehicle where the logistics goods are located in real time, and sends the real-time status data of the logistics vehicle obtained by monitoring to the transportation analysis module through the server; The real-time status data includes the real-time speed of the logistics vehicle, the real-time cargo hold temperature, real-time cargo hold humidity and real-time cargo hold amplitude of the cargo hold in the logistics vehicle, the real-time positions of the deformation monitoring points and pressure monitoring points in the logistics cargo loaded by the logistics vehicle, and the real-time pressure value of the surface where the pressure monitoring points in the logistics cargo loaded by the logistics vehicle are located; Step S40, the transportation analysis module conducts a comprehensive analysis on the logistics transportation process of the logistics goods, and sends the collision warning signal or cargo hold inspection signal generated by the analysis to the logistics terminal through the server; In step S40, the analysis process of the transportation analysis module is as follows: Step S401, obtaining the real-time cargo hold temperature and real-time cargo hold humidity of the logistics vehicle, and determining whether the real-time cargo hold humidity belongs to the standard temperature range; Step S402, if the real-time cargo hold humidity is not within the standard temperature range, it is determined that the cargo hold environment of the logistics vehicle is in a poor state cargo hold environment and the poor state strength value of the logistics cargo is obtained; Step S403: if the real-time cargo hold humidity is within the standard temperature range, determine whether the real-time cargo hold temperature is within the standard temperature range; if the real-time cargo hold temperature is within the standard temperature range, determine that the cargo hold environment of the logistics vehicle is within the normal cargo hold environment and obtain the normal strength value of the logistics cargo; if the real-time cargo hold temperature is not within the standard temperature range, determine that the cargo hold environment of the logistics vehicle is within the inferior cargo hold environment and obtain the inferior strength value of the logistics cargo; Step S404, marking the normal strength value of the logistics cargo or the poor strength value of the logistics cargo as the turbulence tolerance threshold, obtaining the real-time speed and real-time cargo hold amplitude of the logistics vehicle, and calculating the cargo hold turbulence index of the logistics vehicle; Step S405, comparing the cargo hold turbulence index of the logistics vehicle with the turbulence tolerance threshold of the logistics cargo; Step S406: if the cargo hold turbulence index is less than the turbulence tolerance threshold of all logistics shipments, a normal shipment signal is generated; If the cargo hold turbulence index is greater than or equal to the turbulence tolerance threshold of any logistics cargo, the real-time position of the deformation monitoring point on each logistics cargo in the logistics cargo hold is obtained, and then the real-time offset distance between the deformation monitoring point and the pressure monitoring point on the logistics cargo is calculated; Step S407: if the real-time offset distance between any deformation monitoring point and any pressure monitoring point in the logistics shipment is not zero, a collision warning signal is generated; If the real-time offset distances of all deformation monitoring points and all pressure monitoring points in the logistics shipment are zero, proceed to the subsequent steps; Step S408, monitoring the real-time positions of the deformation monitoring points and the pressure monitoring points in each logistics cargo in the logistics cargo hold at different time points, and then calculating the unit displacement distance of the deformation monitoring points and the pressure monitoring points in the logistics cargo within a unit time length; Step S409, comparing the unit displacement distance of the deformation monitoring point and the pressure monitoring point in the logistics cargo within the unit time with the displacement distance threshold; If the unit displacement distance is less than or equal to the first displacement distance threshold, no operation is performed; If the unit displacement distance is greater than the first displacement distance threshold and less than or equal to the second displacement distance threshold, a collision warning signal is generated; If the unit displacement distance is greater than the second displacement distance threshold, a cargo hold inspection signal is generated; Wherein, the values ​​of the first displacement distance threshold and the second displacement distance threshold are both greater than zero, and the first displacement distance threshold is less than the second displacement distance threshold; Step S50, the logistics terminal provides real-time feedback on the status of the logistics shipment to the driver of the logistics vehicle, and the driver adjusts the driving conditions of the logistics vehicle according to the feedback.

2. The method for intelligent logistics data supervision based on wireless communication according to claim 1 is characterized in that: The logistics order information includes the order number, weight, length, width and height of the logistics shipment, as well as the packaging thickness, toughness value, rigidity value and suitability value of the packaging of the logistics shipment.

3. The intelligent logistics data supervision method based on wireless communication according to claim 2 is characterized in that: The specific process of obtaining the packaging toughness value, packaging rigidity value and packaging suitability value is as follows: Take several packages of the same batch and the same model of logistics goods for quality testing, and divide the packages into a first test group, a second test group and a third test group; A tearing test is performed on the package of the first test group. Two pulling forces of equal magnitude and opposite directions are applied to both ends of the package. The pulling forces at both ends are gradually increased until the package of the goods is torn. The test pulling force value of the package of the goods is recorded. The tearing pulling force values ​​of each package of the first test group are added and averaged. The calculated value is marked as the packaging toughness value of the corresponding package of the logistics goods. A pressure test is performed on the package of the second test group. A pressure perpendicular to the surface of the package is applied to the package. The pressure is gradually increased until the depth of the depression on the package reaches half of the package thickness. The test pressure value of the package is recorded. The test pressure values ​​of each package in the second test group are added and averaged. The calculated value is marked as the package rigidity value of the corresponding package of the logistics shipment. A waterproof test was conducted on the cargo packaging of the third test group. The cargo packaging was immersed in a test water tank with the same specifications and consistent water level. The water level of the test water tank can completely immerse the cargo packaging. After the cargo packaging has been immersed for a period of time, the water level drop value of each test water tank was recorded, and the water level drop values ​​of each test water tank were added and averaged to obtain the average water level drop value of the test water tank, and the packaging suitability value of the cargo packaging corresponding to the logistics cargo was calculated.

4. The intelligent logistics data supervision method based on wireless communication according to claim 3 is characterized in that: The specific process of packaging suitability value is as follows: Packaging suitability value = 1 / (average water level drop value × test water tank bottom area).

5. The intelligent logistics data supervision method based on wireless communication according to claim 2 is characterized in that: The analysis process of the cargo analysis module in step S20 is as follows: Step S201, obtaining the weight, length, width and height of a logistics shipment, and calculating the density of the logistics shipment; Step S202, obtaining the packaging thickness, packaging toughness value, packaging rigidity value and packaging suitability value of the corresponding package of the logistics shipment, and calculating the normal strength value and the deteriorated strength value of the logistics shipment; Step S203, comparing the cargo density of the logistics cargo with the standard density range, and determining whether the collision damage coefficient of the logistics cargo is the first collision damage coefficient, the second collision damage coefficient, or the third collision damage coefficient.

6. The method for intelligent logistics data supervision based on wireless communication according to claim 5 is characterized in that: The normal strength value is used to reflect the packaging strength of logistics goods in a normal temperature and dry environment; The inferior strength value is used to reflect the packaging strength of logistics goods in an unsuitable temperature or unsuitable humidity environment. The inferior strength value of the goods packaging is greater than the normal strength value of the goods packaging; The first collision damage coefficient is smaller than the second collision damage coefficient, and the second collision damage coefficient is smaller than the third collision damage coefficient. The collision loss coefficient is used to reflect the severity of damage to the logistics cargo itself or the cargo packaging when the logistics cargo is bumped or collided during transportation.

7. The intelligent logistics data supervision method based on wireless communication according to claim 1 is characterized in that: The specific working process of the logistics terminal in step S50 includes: Step S501: If a collision warning signal is received, the driver will slow down the logistics vehicle to avoid collision damage to the logistics goods in the cargo hold; Step S502: If a cargo hold inspection signal is received, the driver must inspect the logistics goods in the cargo hold for damage due to collisions, provided that road safety conditions permit.

8. Intelligent logistics data supervision system based on wireless communication, characterized in that: The method for monitoring intelligent logistics data based on wireless communication according to any one of claims 1 to 7 comprises: The logistics terminal is used to input the logistics order information of the logistics shipment and send it to the server, and the server sends the logistics order information to the shipment analysis module; The cargo analysis module is used to analyze the packaging strength of the logistics cargo, and the collision damage coefficient, normal strength value and inferior strength value of the logistics cargo are obtained by analysis and sent to the server, and the server sends the collision damage coefficient, normal strength value and inferior strength value of the logistics cargo to the transportation analysis module; The logistics monitoring module is used to monitor the cargo compartment of the logistics vehicle where the logistics goods are located in real time, and send the real-time status data of the logistics vehicle obtained through monitoring to the server, and the server sends the real-time status information of the logistics vehicle to the transportation analysis module; The transportation analysis module is used to conduct a comprehensive analysis of the logistics transportation process of the logistics goods, and send the collision warning signal or cargo hold inspection signal generated by the analysis to the server, and the server sends the collision warning signal or cargo hold inspection signal to the logistics terminal; The logistics terminal is also used to provide real-time feedback on the status of logistics shipments to the drivers of logistics vehicles.

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