Tracking transportation management system based on GPS

Abstract

The invention belongs to the technical field of transportation management, and provides a GPS-based tracking transportation management system, which is characterized in that vehicle position information after goods delivery, position information of a plurality of return goods receiving points around a vehicle after goods delivery and position information of a plurality of return goods delivery points are positioned through a GPS, and distance analysis is carried out to obtain a return goods receiving point sequence; according to the method, the transport paths corresponding to the plurality of return cargo points are analyzed to obtain the initial screening value, so that the congestion condition of the transport paths corresponding to the return cargo points is evaluated, the efficiency of screening out the optimal return cargo point from the return cargo point sequence is further improved, the initial screening sequence is obtained according to the initial screening value, and the optimal return cargo point is screened out according to the initial screening value. According to the method, the problem that evaluation standards are lacked when the multiple return goods points are screened is solved, the initial screening sequence can achieve screening work of the multiple return goods points on the basis of the optimal paths of the return goods points, and the screening efficiency of the whole tracking transportation management system is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of transportation management, and specifically relates to a GPS-based tracking transportation management system. Background Art

[0002] In modern logistics transportation, it is crucial to reasonably plan transportation routes, improve transportation efficiency, and reduce transportation costs. However, current transportation management systems often have some problems when determining vehicle return pick-up points and planning transportation routes. For example, there is a lack of comprehensive consideration of multiple factors such as distance, congestion status, and congestion stability, resulting in sub-optimal pick-up points and transportation routes being selected, increasing unnecessary driving distances and transportation times. At the same time, transportation delays and cost increases may also occur due to unstable congestion.

[0003] In the prior art, when screening return pick-up points, the transportation management system lacks a scientific evaluation standard and it is difficult to accurately determine which return pick-up point is the best choice. Therefore, this application analyzes the distances of return pick-up points to obtain a sequence of return pick-up points, analyzes the transportation routes corresponding to multiple return pick-up points to obtain an initial screening value, further improving the efficiency of screening the optimal return pick-up point from the sequence of return pick-up points. And according to the initial screening value, an initial screening sequence is obtained to implement the screening work for multiple return pick-up points, improving the screening efficiency of the entire tracking transportation management system. Extract multiple return pick-up points within the initial screening sequence, and analyze the congestion stability of the corresponding shortest transportation routes over multiple historical periods to obtain a congestion analysis value, solving the problem of insufficient consideration of transportation route congestion stability when screening return pick-up points, enabling the selection of return pick-up points with better congestion stability, enhancing the management intensity of the tracking transportation system, obtaining a priority pick-up value, and sorting multiple return pick-up points within the initial screening sequence according to the priority pick-up value. This not only enables the transportation vehicle to preferentially select the return pick-up point with the best comprehensive conditions, thus optimizing the transportation route and reducing unnecessary driving distances and delays caused by congestion.

[0004] Therefore, the present invention provides a GPS-based tracking transportation management system. Summary of the Invention

[0005] To make up for the deficiencies of the prior art and solve at least one of the technical problems proposed in the background art.

[0006] The technical solution adopted by the present invention to solve its technical problems is as follows: A GPS-based tracking transportation management system, comprising: Goods Point Sorting Module: Obtain the coordinates of return pick-up, initial delivery, and return delivery through GPS, conduct distance analysis to obtain the return pick-up distance value and return delivery distance value, and perform quantization processing to obtain the sequence of return pick-up points; Goods Point Initial Module: Obtain the shortest transportation paths corresponding to multiple return pick-up points within the sequence of return pick-up points through GPS, conduct congestion analysis within the historical cycle to obtain the congestion degree value and congestion quantity ratio, and perform quantization processing to obtain the initial screening sequence; Stability Analysis Module: Conduct congestion stability analysis on the shortest transportation paths corresponding to multiple return pick-up points within the initial screening sequence to obtain the quantity stability value and degree stability value, and perform quantization processing to generate a congestion stability signal; Goods Point Screening Module: Based on the congestion stability signal, obtain the priority pick-up value, and sort multiple return pick-up points within the initial screening sequence according to the priority pick-up value.

[0007] The beneficial effects of the present invention are as follows: 1. The present invention locates the position information of the vehicle after delivery, the position information of multiple return pick-up points around the vehicle after delivery, and the position information of multiple return delivery points through GPS, and conducts distance analysis to obtain the sequence of return pick-up points, thereby optimizing the return path of the vehicle, improving the transportation efficiency, reducing unnecessary driving distances. Based on the sequence of return pick-up points, analyze the transportation paths corresponding to multiple return pick-up points to obtain the initial screening value, thereby evaluating the congestion situation of the transportation paths corresponding to the return pick-up points, further improving the efficiency of screening the optimal return pick-up points from the sequence of return pick-up points, and according to the initial screening value, obtain the initial screening sequence, which solves the problem of lacking an evaluation standard when screening multiple return pick-up points. The initial screening sequence can realize the screening work of multiple return pick-up points based on the optimal path of the return pick-up points, and improve the screening efficiency of the entire tracking transportation management system; 2. The present invention extracts multiple return pick-up points within the initial screening sequence, and analyzes the congestion stability degree of the corresponding shortest transportation paths in multiple historical cycles to obtain the congestion analysis value. The congestion analysis value reflects the stability of the frequency of the congestion quantity ratio and the stability of the proportion of the congestion duration. From the perspective of screening and optimizing the return pick-up points, by introducing the congestion analysis value, the problem of insufficient consideration of the congestion stability of the transportation path when screening the return pick-up points is solved, so as to select return pick-up points with better congestion stability and avoid unpredictable congestion situations during transportation caused by selecting return pick-up points with unstable congestion, enhancing the management intensity of the tracking transportation system; 3. Based on the congestion stability signal, the present invention obtains the priority pick-up value and sorts multiple return pick-up points in the initial screening sequence according to the priority pick-up value. This not only enables the transport vehicle to preferentially select the return pick-up point with the optimal comprehensive conditions, thereby optimizing the transport route, reducing unnecessary driving distance and delays caused by congestion, but also reduces the probability of unpredictable congestion during transportation, enhancing the stability and reliability of the entire tracking and transportation system. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] The present invention will be further described below with reference to the accompanying drawings.

[0009] Figure 1 is a schematic diagram of a GPS-based tracking and transportation management system of the present invention; Figure 2 is a flowchart of a method within a GPS-based tracking and transportation management system of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0010] In order to make the technical means, creative features, achieved purposes and functions of the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0011] Embodiment 1 As Figure 1 shown, a GPS-based tracking and transportation management system described in an embodiment of the present invention includes: Goods point sorting module: Through GPS positioning, the position information of the vehicle after delivery, the position information of multiple return pick-up points around the vehicle after delivery, and the position information of multiple return delivery points are obtained, and distance analysis is performed to obtain distance analysis data. Among them, the distance analysis data includes the return pick-up distance value and the return delivery distance value, and the return pick-up distance value and the return delivery distance value are quantitatively processed to obtain a return pick-up point sequence; It should be noted that the position information of the vehicle after delivery includes the initial delivery coordinates, the position information of the return pick-up points of the vehicle after delivery includes the return pick-up coordinates, and the position information of the return delivery points includes the return delivery coordinates; In some embodiments, a return pick-up coordinate is randomly selected; The initial delivery coordinates and the return pick-up coordinates are calculated by applying the coordinate distance formula: and a ratio calculation is performed with the initial delivery distance to obtain the return pick-up distance value , where represents the coordinate of the initial delivery coordinate on the X-axis, represents the coordinate of the initial delivery coordinate on the Y-axis, represents the coordinate of the return pick-up coordinate on the X-axis, represents the coordinate of the return pick-up coordinate on the Y-axis; Calculate the return pick-up coordinates and the return delivery coordinates by applying the coordinate distance formula: Perform the calculation and calculate the ratio with the initial delivery distance to obtain the return delivery distance value , where represents the coordinate of the return pick-up point on the X-axis, represents the coordinate of the return pick-up point on the Y-axis, represents the coordinate of the return delivery point on the X-axis, represents the coordinate of the return pick-up point on the Y-axis; It should be noted that the initial delivery distance is the distance between the delivery vehicle delivering the goods from the initial pick-up coordinate to the initial delivery coordinate; Perform a summation calculation on the return pick-up distance value and the return delivery distance value to obtain the initial sorting value; Compare the sizes of the initial screening values corresponding to all return pick-up points and sort them in descending order to obtain the return pick-up point sequence; It can be understood that the purpose of obtaining the return pick-up point sequence is to: determine the priority order of the vehicle's return pick-up points, give priority to selecting the return pick-up points with larger initial screening values, so as to optimize the vehicle's return path, improve transportation efficiency, and reduce unnecessary driving distances; Goods point initial module: Obtain the transportation paths corresponding to multiple return pick-up points in the return pick-up point sequence through GPS, obtain the shortest transportation path, and extract the transportation information of the shortest transportation path within the historical cycle from the historical transportation report. Among them, the transportation information includes the congestion degree value and the congestion quantity ratio, and perform a quantization process on the congestion degree value and the congestion quantity ratio to obtain the initial screening sequence; It should be noted that the transportation paths corresponding to the return pick-up points in the return pick-up point sequence; In some embodiments, randomly select a return pick-up point; Obtain multiple transportation paths between the return pick-up point and the return delivery point through GPS, and use the transportation path corresponding to the minimum path distance as the shortest transportation path; It should be noted that the path distance value is obtained through GPS and is the entire distance of the transportation path traveled by the delivery vehicle; Exemplarily, if the return pick-up point is point A and the return delivery point is point Z, then the multiple transportation paths between point A and point Z can be from point A Point B Point Z, point A Point C Point Z, point A Point D Point E Point Z; Divide the shortest transportation path into several transportation sections with equal distances; Divide the historical period into several historical time segments at equal time intervals, and randomly select one historical time segment; Obtain the historical traffic flow of the transportation section during the historical time segment and compare it with the traffic flow threshold. The process is as follows: If the historical traffic flow is greater than or equal to the traffic flow threshold, it indicates that the traffic flow of the analyzed transportation section is large during the historical time segment, and it is a congested section during the time period; If the historical traffic flow is less than the traffic flow threshold, it indicates that the traffic flow of the analyzed transportation section is small during the historical time segment, and it is a normal section during the time period; Count the number of congested sections during the time period and calculate the ratio with the total number of transportation sections to obtain the unit congestion number; Perform a sum and average calculation on the unit congestion numbers corresponding to all historical time segments to obtain the congestion number ratio; Obtain the congestion duration of all congested sections during the historical time segment, perform a sum and average calculation, and calculate the ratio with the historical period duration to obtain the unit congestion duration; Perform a sum and average calculation on all unit congestion durations within the historical period to obtain the congestion degree value; Perform a product calculation on the congestion number ratio and the congestion degree value to obtain the initial screening value; It can be understood that the meaning represented by the initial screening value is: used to measure the overall congestion condition of the shortest transportation path of the return pick-up point within the historical period. Specifically, on the one hand, it reflects the proportion of the congestion number ratio of the shortest transportation path of the return pick-up point within the historical period through the congestion number ratio, and on the other hand, it reflects the proportion of the congestion duration corresponding to the congested sections of the shortest transportation path of the return pick-up point within the historical period through the congestion degree value, so as to evaluate the congestion condition of the transportation path corresponding to the return pick-up point, and further improve the efficiency of screening the optimal return pick-up point from the return pick-up point sequence; Compare the initial screening values corresponding to the return pick-up points in the initial screening sequence and sort them in descending order to obtain the initial screening sequence; Among them, the purpose of obtaining the initial screening sequence is: from the perspective of return pick-up point screening, it solves the problem of lacking an evaluation standard when screening multiple return pick-up points, and the initial screening sequence can realize the screening work of multiple return pick-up points based on the optimal path of the return pick-up point, improving the screening efficiency of the entire tracking transportation management system; The specific implementation of the embodiment of the present invention is as follows: By GPS positioning the location information of the vehicle after delivery, the location information of multiple return pick-up points and multiple return delivery points around the vehicle after delivery, and performing distance analysis to obtain a return pick-up point sequence, thereby optimizing the return path of the vehicle, improving the transportation efficiency, reducing unnecessary driving distances. Based on the return pick-up point sequence, analyze the transportation paths corresponding to multiple return pick-up points to obtain an initial screening value, thereby evaluating the congestion situation of the transportation paths corresponding to the return pick-up points, further improving the efficiency of screening the optimal return pick-up points from the return pick-up point sequence, and according to the initial screening value, obtain an initial screening sequence, solving the problem of lack of evaluation criteria when screening multiple return pick-up points. The initial screening sequence can, on the basis of the optimal path of the return pick-up points, realize the screening work of multiple return pick-up points, improving the screening efficiency of the entire tracking transportation management system.

[0012] Embodiment 2 As Figure 1 shown, on the basis of Embodiment 1, a GPS-based tracking transportation management system described in an embodiment of the present invention includes: Stable analysis module: Extract multiple return pick-up points from the initial screening sequence, and obtain congestion analysis data of the shortest transportation path in multiple historical cycles. Among them, the congestion analysis data includes a quantity stability value and a degree stability value. Quantify the quantity stability value and the degree stability value to obtain a congestion analysis value, and compare it with a congestion analysis threshold to generate a congestion analysis result; Among them, the congestion analysis result includes a congestion stable signal or a congestion unstable signal; In some embodiments, randomly select a return pick-up point from multiple return pick-up points; Extract the congestion quantity of the unit, and compare it with the unit congestion quantity threshold. The process is as follows: If the unit congestion quantity is greater than or equal to the unit congestion quantity threshold, it is a historical congestion period; If the unit congestion quantity is less than the unit congestion quantity threshold, it is a historical non-congestion period; It should be noted that the unit congestion quantity threshold is formulated by those skilled in the art in this technical field based on experience and is an empirical value; Count the number of historical periods that are historical congestion periods in different historical cycles, and obtain the proportion of the total number of historical periods in the historical cycle, which is the period congestion quantity; It should be noted that the method of dividing multiple historical cycles into several historical periods is the same, and the time lengths corresponding to the historical periods in each historical cycle are equal; Exemplarily, the historical cycles are α historical cycle, β historical cycle, and θ historical cycle respectively; Now, the α historical period is divided into five historical time intervals of equal length, namely the A historical time interval, the B historical time interval, the C historical time interval, the D historical time interval, and the E historical time interval. Among them, the A historical time interval is a historical congestion period, the B historical time interval is a historical congestion period, the C historical time interval is a historical non-congestion period, the D historical time interval is a historical congestion period, and the E historical time interval is a historical non-congestion period; Now, the β historical period is divided into five historical time intervals of equal length, namely the A historical time interval, the B historical time interval, the C historical time interval, the D historical time interval, and the E historical time interval. Among them, the A historical time interval is a historical congestion period, the B historical time interval is a historical congestion period, the C historical time interval is a historical non-congestion period, the D historical time interval is a historical congestion period, and the E historical time interval is a historical non-congestion period; Now, the θ historical period is divided into five historical time intervals of equal length, namely the A historical time interval, the B historical time interval, the C historical time interval, the D historical time interval, and the E historical time interval. Among them, the A historical time interval is a historical non-congestion period, the B historical time interval is a historical congestion period, the C historical time interval is a historical congestion period, the D historical time interval is a historical non-congestion period, and the E historical time interval is a historical congestion period; Within the α historical period, the A historical time interval is a historical congestion period. Within the β historical period, the A historical time interval is a historical congestion period. Within the θ historical period, the A historical time interval is a historical non-congestion period. Count the number of historical congestion periods of the A historical time interval in different historical periods, and calculate the ratio with the total number of historical time intervals in the historical period to obtain the congestion quantity of the time interval; Combine the congestion quantities of the corresponding time intervals within the same historical time interval in pairs to obtain multiple time interval analysis groups; Substitute the congestion quantities of the corresponding time intervals in multiple time interval analysis groups into the Manhattan calculation formula: , and calculate to obtain the quantity stability sub-value d1, where m represents the total number of time interval analysis groups, and n represents the total number of historical congestion periods, represents the congestion quantity of the corresponding time interval of the nth historical congestion period within the mth time interval analysis group, represents the congestion quantity of the corresponding time interval of the th historical congestion period within the mth time interval analysis group, and i represents the ith time interval analysis group; Perform a sum and average calculation on all the quantity stability sub-values d1 to obtain the quantity stability value; Exemplarily, within the α historical period, the A historical time interval is a historical congestion period. Within the β historical period, the A historical time interval is a historical congestion period. Within the θ historical period, the A historical time interval is a historical non-congestion period. When obtaining the A historical time interval as a historical congestion period in different historical periods, obtain the corresponding congestion duration of the time interval, and calculate the ratio with the duration of the historical period to obtain the congestion duration of the time interval; Obtain the congestion durations corresponding to historical congestion periods in different historical cycles during the same historical period, perform a sum and average calculation, and calculate the ratio with the historical cycle duration to obtain the congestion duration of the period. Combine the congestion durations of the corresponding periods within the same historical period in pairs to obtain multiple period analysis groups. Substitute the congestion quantities of the corresponding periods in multiple period analysis groups into the Manhattan calculation formula: , calculate to obtain the duration stability sub-value d2, where m represents the total number of period analysis groups, and n represents the total number of historical congestion periods. represents the congestion quantity corresponding to the nth historical congestion period within the mth period analysis group. represents the congestion quantity corresponding to the nth historical congestion period within the mth period analysis group. historical congestion period, and i represents the ith period analysis group. Perform a sum and average calculation on all duration stability sub-values d2 to obtain the degree stability value. Sum the degree stability value and the quantity stability value to obtain the congestion analysis value. It can be understood that the meaning represented by the congestion analysis value is: a comprehensive index obtained by quantitatively analyzing the congestion conditions of the shortest transportation path of the return pick-up point in multiple historical cycles, used to measure the stability of the congestion condition of the shortest transportation path of the return pick-up point. Specifically, through the stability of the congestion quantity ratio and the stability of the congestion duration ratio, it more comprehensively reflects the overall stability of the congestion condition of the shortest transportation path of the return pick-up point. Compare the congestion analysis value with the congestion analysis threshold, and the process is as follows: If the congestion analysis value is greater than the congestion analysis threshold, it indicates that the number of periods becoming congestion periods in different historical cycles is relatively unstable, and the duration of the congestion periods is relatively unstable, and a congestion instability signal is generated. If the congestion analysis value is less than or equal to the congestion analysis threshold, it indicates that the number of periods becoming congestion periods in different historical cycles is relatively stable, and the duration of the congestion periods is relatively stable, and a congestion stability signal is generated. The specific implementation plan of the embodiment of the present invention is as follows: Extract multiple return pick-up points within the initial screening sequence, analyze the congestion stability degree of the corresponding shortest transportation paths in multiple historical cycles to obtain a congestion analysis value, and reflect the stability of the congestion quantity ratio and the stability of the congestion duration ratio through the congestion analysis value. From the perspective of optimizing the selection of return pick-up points, by introducing the congestion analysis value, the problem of insufficient consideration of the congestion stability of transportation paths when screening return pick-up points is solved, enabling the selection of return pick-up points with better congestion stability, avoiding unpredictable congestion situations during transportation caused by selecting return pick-up points with unstable congestion, and enhancing the management intensity of the tracking transportation system.

[0013] Embodiment 3 As Figure 1 shown, on the basis of Embodiment 1 and Embodiment 2, a GPS-based tracking transportation management system described in the embodiment of the present invention includes: Goods point screening module: Based on the congestion stability signal, obtain the priority pick-up value, and sort multiple return pick-up points within the initial screening sequence according to the priority pick-up value; In some embodiments, obtain the initial sorting value, initial screening value, and congestion analysis value corresponding to the return pick-up point, and substitute them into the formula: , calculate to obtain the priority pick-up value , where represents the initial screening value, represents the initial sorting value, represents the congestion analysis value; Compare the priority pick-up values corresponding to multiple return pick-up points, and sort multiple return pick-up points in descending order; The specific implementation plan of the embodiment of the present invention is as follows: Based on the congestion stability signal, obtain the priority pick-up value, and sort multiple return pick-up points within the initial screening sequence according to the priority pick-up value, which not only enables the transportation vehicle to preferentially select the return pick-up point with the best comprehensive conditions, thereby optimizing the transportation path, reducing unnecessary driving distance and delays caused by congestion, but also reduces the probability of unpredictable congestion situations during transportation, and enhances the stability and reliability of the entire tracking transportation system.

[0014] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification only illustrates the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. A GPS-based tracking and transportation management system, characterized in that: include: Cargo point sorting module: obtains the pick-up coordinates, initial delivery coordinates and return delivery coordinates through GPS, performs distance analysis, obtains the pick-up distance value and return delivery distance value, and performs quantification processing to obtain the pick-up point sequence; Initial cargo point module: Use GPS to obtain the shortest transportation routes corresponding to multiple return points in the return point sequence, conduct congestion analysis in the historical period, obtain the congestion degree value and congestion quantity ratio, and perform quantitative processing to obtain the initial screening sequence; Stability analysis module: performs congestion stability analysis on the shortest transport routes corresponding to multiple return and pickup points in the initial screening sequence, obtains quantity stability values and degree stability values, performs quantitative processing, and generates congestion stability signals; Cargo point screening module: Based on the congestion stability signal, it obtains the priority cargo receiving value and sorts the multiple return cargo receiving points in the initial screening sequence according to the priority cargo receiving value.

2. The tracking and transportation management system based on GPS according to claim 1, characterized in that: The method for obtaining the return point sequence is as follows: Substitute the initial delivery coordinates and the return delivery coordinates into the coordinate distance formula to obtain the return delivery distance value; Substitute the return pickup coordinates and return delivery coordinates into the coordinate distance formula for calculation, and calculate the ratio with the initial delivery distance to obtain the return delivery distance value; The return distance value and the return delivery distance value are summed to obtain the initial sorting value, and the return pickup points are sorted in descending order to obtain the return pickup point sequence.

3. A GPS-based tracking and transportation management system according to claim 1, characterized in that: The congestion ratio is obtained as follows: Divide the shortest transport route into several transport sections of equal distance; Divide the historical cycle into several historical periods and select any historical period; Obtain the historical traffic flow of the transport section during the historical period. If the historical traffic flow is greater than or equal to the traffic flow threshold, it is a congested section during the period. If the historical traffic volume is less than the traffic volume threshold, it is a normal road section during the period; The number of congested sections in the statistical period is ratio-calculated to the total number of transport sections to obtain the unit congestion quantity, and the sum and mean are calculated to obtain the congestion quantity ratio.

4. A GPS-based tracking and transportation management system according to claim 3, characterized in that: The congestion level value is obtained as follows: Obtain the congestion duration of all congested sections in the historical period, calculate the sum and average, and calculate the ratio with the historical period duration to obtain the unit congestion duration; The congestion degree value is obtained by summing and averaging the congestion durations of all units in the historical period.

5. A GPS-based tracking and transportation management system according to claim 2, characterized in that: The initial screening sequence is obtained as follows: The congestion quantity ratio is multiplied by the congestion degree value to obtain an initial screening value, and multiple return pickup points in the return pickup point sequence are sorted in descending order to obtain an initial screening sequence.

6. A GPS-based tracking and transportation management system according to claim 3, characterized in that: The method to obtain the quantity stability value is: Extract the unit congestion number. If the unit congestion number is greater than or equal to the unit congestion number threshold, it is a historical congestion period. Count the number of historical congestion periods in different historical periods, and obtain the proportion of the total number of historical periods in the historical period, which is the number of period congestion; The congestion numbers of the corresponding time periods in the same historical period are combined in pairs to obtain multiple time period analysis groups, and then substituted into the Manhattan calculation formula to obtain the quantity stability sub-value, and then the sum and average calculation are performed to obtain the quantity stability value.

7. An on-GPS tracking and transportation management system according to claim 6, characterized in that: The degree of stability is obtained as follows: Obtain the congestion durations corresponding to the historical congestion periods in different historical cycles during the same historical time period, perform a sum and average calculation, and calculate the ratio with the historical cycle duration to obtain the time period congestion duration. Combine the time period congestion durations corresponding to the same historical time period in pairs to obtain multiple time period analysis groups, substitute them into the Manhattan calculation formula for calculation, obtain the duration stability sub-value, and perform a sum and average calculation to obtain the degree stability value.

8. A GPS-based tracking and transportation management system according to claim 5, wherein: The generation process of the congestion stability signal is as follows: Sum the degree stability value and the quantity stability value to obtain the congestion analysis value; If the congestion analysis value is less than or equal to the congestion analysis threshold, generate a congestion stability signal.

9. The tracking and transportation management system based on GPS according to claim 8, characterized in that: The method for obtaining the priority receiving value is: Obtain the initial sorting value, the initial screening value corresponding to the return receiving point, and the congestion analysis value, and substitute them into the formula to obtain the priority receiving value.

10. The unit status evaluation system for a thermal power plant according to claim 9, characterized in that: Sort multiple return receiving points in the initial screening sequence according to the priority receiving value. The process is as follows: The priority pick-up values corresponding to multiple return pick-up points Perform a magnitude comparison and sort the multiple return pick-up points in descending order one by one.

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