Coal transportation and sales management system and method based on artificial intelligence

Abstract

The invention belongs to the technical field of coal transportation and sale management, and particularly relates to a coal transportation and sale management system and method based on artificial intelligence, and the system comprises a coal order obtaining module, a coal transportation scheduling module, a coal warehouse-in and warehouse-out recording module, a coal transportation and sale management comprehensive evaluation module, and a coal transportation and sale supervision center. According to the invention, the coal transportation scheduling module generates a transportation scheduling instruction based on coal order information, and arranges a transportation vehicle to carry out coal loading and transportation based on the transportation scheduling instruction, and the coal warehouse-in and warehouse-out recording module records coal warehouse-in and warehouse-out information. The coal transportation and sales management comprehensive evaluation module carries out comprehensive evaluation based on a coal transportation management analysis result, a coal storage management analysis result and a settlement risk analysis result, accurately judges the performance of coal transportation and sales management, and strengthens subsequent coal transportation and sales supervision when a transportation and sales comprehensive evaluation abnormal signal is generated. And intelligent management and control of the whole chain of coal transportation and sale can be realized.

Description

Technical Field

[0001] The present invention relates to the technical field of coal transportation and sales management, and specifically to an artificial intelligence-based coal transportation and sales management system and method. Background Art

[0002] Coal transportation and sales management is a full-process management activity from the production end to the consumption end of coal, covering core links such as transportation, warehousing, sales, and settlement. In a Chinese invention patent with the publication number CN115034801A, a smart transportation and sales platform for the coal industry based on cloud computing and big data is disclosed. The technical solution of this invention uses big data processing and cloud computing technologies to estimate the demand for coal in a specific area during a certain period, and based on the estimation results, allocate the coal distribution volume in this area and macro-control the coal development plan to prevent the situation of insufficient coal supply or excessive hoarding in the coal supply chain; However, the above-mentioned invention technical solution mainly focuses on the prediction of coal demand in the actual application process, is difficult to achieve full-process intelligent control of coal transportation and sales, cannot comprehensively evaluate the performance of coal transportation and sales management, and cannot accurately judge the quality control performance of the input coal when the performance of coal transportation and sales management is judged to be good, which is not conducive to reducing the risks and supervision difficulties of coal transportation and sales; In view of the above technical defects, a solution is proposed now. Summary of the Invention

[0003] The purpose of the present invention is to provide an artificial intelligence-based coal transportation and sales management system and method, which solves the problems that the prior art cannot comprehensively evaluate the performance of coal transportation and sales management, and cannot accurately judge the quality control performance of the input coal when the performance of coal transportation and sales management is judged to be good, which is not conducive to reducing the risks and supervision difficulties of coal transportation and sales.

[0004] To achieve the above purpose, the present invention provides the following technical solutions: An artificial intelligence-based coal transportation and sales management system includes a coal order acquisition module, a coal transportation scheduling module, a coal inbound and outbound record module, a comprehensive evaluation module for coal transportation and sales management, and a coal transportation and sales supervision center; the coal order acquisition module obtains coal order information and sends the coal order information to the coal transportation scheduling module and the coal transportation and sales supervision center. The coal transportation scheduling module generates corresponding transportation scheduling instructions based on the coal order information and sends them to the coal transportation and sales supervision center. Based on the transportation scheduling instructions, corresponding transportation vehicles are arranged to enter the coal storage warehouse for coal loading. After the coal loading is completed, it is transported to the destination by the transportation vehicle; The coal in-out record module records the amount of coal entering and leaving the coal storage depot and the in-out time, and sends the coal in-out record information to the coal transportation and sales supervision center; the comprehensive evaluation module for coal transportation and sales management is used to set the detection period, comprehensively evaluate the performance of coal transportation and sales management during the detection period, generate a qualified signal or an abnormal signal for comprehensive evaluation of transportation and sales management accordingly, and send the qualified signal or abnormal signal for comprehensive evaluation of transportation and sales management to the coal transportation and sales supervision center. When the coal transportation and sales supervision center receives the abnormal signal for comprehensive evaluation of transportation and sales management, it issues a corresponding warning.

[0005] Furthermore, the comprehensive evaluation module for coal transportation and sales management is communicatively connected to the transportation tracking output module, the storage monitoring output module, and the settlement tracking output module. The transportation tracking output module tracks the transportation of all coal orders, obtains the transportation tracking eigenvalue through analysis, and sends the transportation tracking eigenvalue to the comprehensive evaluation module for coal transportation and sales management; The storage monitoring output module monitors the coal storage depot, obtains the storage monitoring eigenvalue through analysis, and sends the storage monitoring eigenvalue to the comprehensive evaluation module for coal transportation and sales management; the settlement tracking output module tracks the settlement process of all coal orders, obtains the settlement tracking eigenvalue through analysis, and sends the coal tracking eigenvalue to the comprehensive evaluation module for coal transportation and sales management.

[0006] Furthermore, the specific analysis process of the comprehensive evaluation module for coal transportation and sales management is as follows: Obtain the transportation tracking eigenvalue, the storage monitoring eigenvalue, and the settlement tracking eigenvalue, and numerically compare the transportation tracking eigenvalue, the storage monitoring eigenvalue, and the settlement tracking eigenvalue with the preset transportation tracking eigenvalue threshold, the preset storage monitoring eigenvalue threshold, and the preset settlement tracking eigenvalue threshold respectively. If the transportation tracking eigenvalue, the storage monitoring eigenvalue, or the settlement tracking eigenvalue exceeds the corresponding preset threshold, an abnormal signal for comprehensive evaluation of transportation and sales management is generated; if the transportation tracking eigenvalue, the storage monitoring eigenvalue, and the settlement tracking eigenvalue do not exceed the corresponding preset thresholds, a qualified signal for comprehensive evaluation of transportation and sales management is generated.

[0007] Furthermore, the specific analysis process of the transportation tracking output module is as follows: Obtain the transportation tracking information of the corresponding coal order. If the corresponding coal order does not reach the destination within the specified time, mark the corresponding coal order as a tracked abnormal order; if the corresponding coal order reaches the destination within the specified time, numerically compare the arrival loss amount of the corresponding coal order with the preset arrival loss amount threshold. If the arrival loss amount exceeds the preset arrival loss amount threshold, mark the corresponding coal order as a tracked abnormal order; obtain the ratio of the number of tracked abnormal orders during the detection period and mark it as the transportation tracking eigenvalue.

[0008] Further, the specific analysis process of the storage monitoring output module is as follows: Collect the coal storage volume in the coal storage depot, compare the coal storage volume with the optimal coal storage volume range numerically. If the coal storage volume is not within the optimal coal storage volume range, it is determined that the coal storage depot is in the storage monitoring optimization state; If the coal storage volume is within the optimal coal storage volume range, collect the temperature and humidity of several detection points in the coal storage depot, mark the detection points where the temperature is not within the preset suitable temperature range or the humidity is not within the preset suitable humidity range as different points; obtain the number of different points in the coal storage depot and its different detection value, compare the different detection value with the preset different detection threshold numerically. If the different detection value exceeds the preset different detection threshold, it is determined that the coal storage depot is in the storage monitoring optimization state; Obtain all single continuous durations during the detection period when the coal storage depot is in the storage monitoring optimization state, mark the number of occurrences where the single continuous duration during the detection period exceeds the preset single continuous duration threshold as the optimization risk time-frequency value, and mark the sum value of all single continuous durations during the detection period as the coal storage risk value; calculate the storage monitoring characteristic value by performing weighted summation on the optimization risk time-frequency value and the coal storage risk value.

[0009] Further, the specific analysis process of the settlement tracking output module is as follows: Obtain the settlement information with all coal procurement customers during the detection period, collect the number of overdue accounts and the total overdue amount based on the settlement information and mark them as the settlement overdue frequency value and the settlement overdue amount value respectively, mark the overdue duration of the corresponding overdue accounts as the overdue time value, and calculate the average value of all overdue time values during the detection period to obtain the settlement overdue detection value. Calculate the settlement tracking characteristic value by performing weighted summation on the settlement overdue frequency value, the settlement overdue amount value and the settlement overdue detection value.

[0010] Further, the coal transportation and sales management comprehensive evaluation module is communicatively connected to the coal quality management evaluation module. The coal transportation and sales management comprehensive evaluation module sends the signal indicating that the comprehensive evaluation of transportation and sales management is qualified to the coal quality management evaluation module. When the coal quality management evaluation module receives the comprehensive evaluation signal of transportation and sales management, it conducts coal quality management evaluation analysis, generates a coal quality management qualified signal or a coal quality management abnormal signal accordingly, and sends the coal quality management qualified signal or the coal quality management abnormal signal to the coal transportation and sales supervision center. When the coal transportation and sales supervision center receives the coal quality management abnormal signal, it issues a corresponding warning.

[0011] Further, the coal quality management assessment module is communicatively connected to the coal sampling inspection and verification module. The coal sampling inspection and verification module samples and tests the stored coal, analyzes based on the information of the sampling test results, and sends the analysis results to the coal quality management assessment module and the coal transportation and sales supervision center. The specific analysis process is as follows: Obtain the quality parameters required for coal sampling inspection, compare the test data of the corresponding quality parameters with the corresponding standard data requirements. If the test data of the corresponding quality parameters do not meet the corresponding standard data requirements, mark the corresponding quality parameters as quality hindrance parameters; Obtain the deviation value of the test data corresponding to the corresponding quality hindrance parameter compared with the corresponding standard data requirements and mark it as the hindrance level value. Preset a set of preset quality influence weight values for each quality parameter respectively. Multiply the hindrance level value of the corresponding quality hindrance parameter by the corresponding preset quality influence weight value to obtain the parameter hindrance characteristic value accordingly; Obtain the parameter hindrance characteristic values of all quality hindrance parameters and perform a summation calculation to obtain the coal quality verification coefficient. Compare the coal quality verification coefficient with the preset coal quality verification coefficient threshold. If the coal quality verification coefficient exceeds the preset coal quality verification coefficient threshold, it is determined that the coal quality of the current sampling test is unqualified; if the coal quality verification coefficient does not exceed the preset coal quality verification coefficient threshold, it is determined that the coal quality of the current sampling test is qualified.

[0012] Further, the specific analysis process of coal quality management assessment analysis is as follows: Obtain the number of times when the coal quality is judged to be unqualified during the detection period and calculate the ratio with the total number of sampling tests during the detection period to obtain the quality verification alarm value. Compare the quality verification alarm value with the preset quality verification alarm threshold. If the quality verification alarm value exceeds the preset quality verification alarm threshold, generate a coal quality management abnormal signal; If the quality verification alarm value does not exceed the preset quality verification alarm threshold, mark the ratio of the coal quality verification coefficient to the preset coal quality verification coefficient threshold as the verification occupancy value, calculate the average value of all verification occupancy values during the detection period to obtain the verification occupancy table value, and mark the maximum verification occupancy value during the detection period as the verification occupancy amplitude value; Obtain the coal quality management evaluation value by performing a weighted summation calculation on the quality verification alarm value, the verification occupancy table value, and the verification occupancy amplitude value. Compare the coal quality management evaluation value with the preset coal quality management evaluation threshold. If the coal quality management evaluation value exceeds the preset coal quality management evaluation threshold, generate a coal quality management abnormal signal; if the coal quality management evaluation value does not exceed the preset coal quality management evaluation threshold, generate a coal quality management qualified signal.

[0013] Furthermore, the present invention also proposes a coal transportation and sales management method based on artificial intelligence, including the following steps: Step 1: Obtain coal order information; Step 2: Generate a transportation scheduling instruction based on the coal order information; Step 3: Arrange transportation vehicles to load and transport coal based on the transportation scheduling instruction; Step 4: Record and store the coal in-out record information; Step 5: Conduct a comprehensive evaluation of the performance of coal transportation and sales management, and issue a warning when generating an abnormal signal for the comprehensive evaluation of transportation and sales management.

[0014] Compared with the prior art, the beneficial effects of the present invention are: 1. In the present invention, the coal transportation scheduling module generates a transportation scheduling instruction based on the coal order information, arranges transportation vehicles to load and transport coal based on the transportation scheduling instruction, and the comprehensive evaluation module for coal transportation and sales management conducts a comprehensive evaluation based on the analysis results of coal transportation management, coal storage management, and settlement risk analysis, and accurately judges the performance of coal transportation and sales management. When generating an abnormal signal for the comprehensive evaluation of transportation and sales, it strengthens the subsequent supervision of coal transportation and sales, which is conducive to realizing the intelligent control of the entire coal transportation and sales chain; 2. In the present invention, the comprehensive evaluation module for coal transportation and sales sends a qualified signal for the comprehensive evaluation of transportation and sales to the coal quality management evaluation module. When the coal quality management evaluation module receives the comprehensive evaluation signal for transportation and sales, it conducts an evaluation and analysis of coal quality management. When generating an abnormal signal for coal quality management, it strengthens the quality control of the input coal, ensures the quality of the sold coal and the business reputation, has a high level of intelligence, and significantly reduces the risks and supervision difficulties of coal transportation and sales. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] For the convenience of those skilled in the art to understand, the present invention will be further described below with reference to the accompanying drawings; Figure 1 It is the system block diagram of Embodiment 1 in the present invention; Figure 2 It is the system block diagram of Embodiment 2 in the present invention; Figure 3 It is the method flow chart of Embodiment 3 in the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0016] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0017] Example 1: As Figure 1 shown, the coal transportation and sales management system based on artificial intelligence proposed by the present invention includes a coal order acquisition module, a coal transportation scheduling module, a coal warehousing and outbound record module, a comprehensive evaluation module for coal transportation and sales management, and a coal transportation and sales supervision center; Among them, the coal order acquisition module acquires coal order information and sends the coal order information to the coal transportation scheduling module and the coal transportation and sales supervision center. The coal transportation scheduling module generates corresponding transportation scheduling instructions based on the coal order information and sends them to the coal transportation and sales supervision center. Based on the transportation scheduling instructions, corresponding transportation vehicles are arranged to enter the coal storage depot for coal loading. After the coal loading is completed, it is transported to the destination by the transportation vehicle. The coal warehousing and outbound record module records the amount of coal entering and leaving the coal storage depot and the inbound and outbound time, etc., and sends the coal warehousing and outbound record information to the coal transportation and sales supervision center.

[0018] The comprehensive evaluation module for coal transportation and sales management is used to set the detection period. Preferably, the detection period is 30 days; the comprehensive evaluation of the performance of coal transportation and sales management during the detection period is carried out, and accordingly, a qualified signal for comprehensive evaluation of transportation and sales management or an abnormal signal for comprehensive evaluation of transportation and sales management is generated, and the qualified signal for comprehensive evaluation of transportation and sales management or the abnormal signal for comprehensive evaluation of transportation and sales management is sent to the coal transportation and sales supervision center; When the coal transportation and sales supervision center receives the abnormal signal for comprehensive evaluation of transportation and sales management, it issues a corresponding warning, and can comprehensively analyze and accurately judge the performance of coal transportation and sales management during the detection period to remind the supervision personnel to reasonably adjust the subsequent coal transportation and sales management plan and timely strengthen the subsequent coal transportation and sales supervision. The specific analysis process of the comprehensive evaluation module for coal transportation and sales management is as follows: The transportation tracking characteristic value, the storage monitoring characteristic value, and the settlement tracking characteristic value are obtained, and the transportation tracking characteristic value, the storage monitoring characteristic value, and the settlement tracking characteristic value are respectively compared with the preset transportation tracking characteristic threshold, the preset storage monitoring characteristic threshold, and the preset settlement tracking characteristic threshold; If the transportation tracking characteristic value, the storage monitoring characteristic value, or the settlement tracking characteristic value exceeds the corresponding preset threshold, it indicates that the overall performance of coal transportation and sales management during the detection period is poor, and an abnormal signal for comprehensive evaluation of transportation and sales management is generated; if the transportation tracking characteristic value, the storage monitoring characteristic value, and the settlement tracking characteristic value do not exceed the corresponding preset threshold, it indicates that the overall performance of coal transportation and sales management during the detection period is good, and a qualified signal for comprehensive evaluation of transportation and sales management is generated.

[0019] It should be noted that the comprehensive evaluation module for coal transportation and sales management is communicatively connected to the transportation tracking output module, the storage monitoring output module, and the settlement tracking output module. The transportation tracking output module tracks the transportation of all coal orders, analyzes to obtain the transportation tracking eigenvalue, and sends the transportation tracking eigenvalue to the comprehensive evaluation module for coal transportation and sales management. It can not only reasonably analyze and accurately evaluate the coal transportation management situation during the detection period, but also provide data support for the analysis process of the comprehensive evaluation module for coal transportation and sales management, ensuring the comprehensiveness of its analysis and the accuracy of the analysis results. The specific analysis process of the transportation tracking output module is as follows: Obtain the transportation tracking information of the corresponding coal order. If the corresponding coal order does not reach the destination within the specified time, mark the corresponding coal order as a tracked abnormal order; if the corresponding coal order reaches the destination within the specified time, compare the arrival loss amount of the corresponding coal order with the preset arrival loss amount threshold. If the arrival loss amount exceeds the preset arrival loss amount threshold, mark the corresponding coal order as a tracked abnormal order; obtain the ratio of the number of tracked abnormal orders during the detection period and mark it as the transportation tracking eigenvalue. It should be noted that the larger the value of the transportation tracking eigenvalue, the worse the performance of coal transportation management during the detection period.

[0020] The storage monitoring output module monitors the coal storage depot, analyzes to obtain the storage monitoring eigenvalue, and sends the storage monitoring eigenvalue to the comprehensive evaluation module for coal transportation and sales management. It can not only reasonably analyze and accurately evaluate the management performance of the coal storage depot during the detection period, but also provide data support for the analysis process of the comprehensive evaluation module for coal transportation and sales management, ensuring the comprehensiveness of its analysis and the accuracy of the analysis results. The specific analysis process of the storage monitoring output module is as follows: Collect the coal storage volume in the coal storage depot, compare the coal storage volume with the optimal coal storage volume range. If the coal storage volume is not within the optimal coal storage volume range, indicating that it is currently not conducive to avoiding coal backlog or shortage, then determine that the coal storage depot is in the storage monitoring optimization state; If the coal storage volume is within the optimal coal storage volume range, collect the temperature and humidity of several detection points in the coal storage depot, and mark the detection points where the temperature is not within the preset suitable temperature range or the humidity is not within the preset suitable humidity range as different points; Obtain the number of different points in the coal storage depot and mark it as the different detection value. Compare the different detection value with the preset different detection threshold. If the different detection value exceeds the preset different detection threshold, indicating that the coal storage environment condition is poor, then determine that the coal storage depot is in the storage monitoring optimization state; Obtain all single continuous durations during the detection period when the coal storage repository is in the optimized storage monitoring state, and mark the occurrence times of the single continuous durations during the detection period when the coal storage repository is in the optimized storage monitoring state and exceed the preset single continuous duration threshold as the optimization risk time-frequency value, and mark the sum value of all single continuous durations during the detection period when the coal storage repository is in the optimized storage monitoring state as the coal storage risk value; Calculate the storage monitoring characteristic value by performing weighted summation on the optimization risk time-frequency value and the coal storage risk value; that is, assign corresponding preset weight coefficients to the optimization risk time-frequency value and the coal storage risk value respectively, multiply the optimization risk time-frequency value and the coal storage risk value by the corresponding preset weight coefficients respectively, and mark the sum value of the two groups of product results as the storage monitoring characteristic value; moreover, the larger the value of the storage monitoring characteristic value, the worse the comprehensive management performance of coal storage during the detection period.

[0021] The settlement tracking output module tracks the settlement process of all coal orders, analyzes to obtain the settlement tracking characteristic value, and sends the coal tracking characteristic value to the comprehensive evaluation module for coal transportation and sales management, which can not only reasonably analyze and accurately evaluate the settlement risk during the detection period, but also provide data support for the analysis process of the comprehensive evaluation module for coal transportation and sales management, further ensuring the comprehensiveness of its analysis and the accuracy of the analysis result; the specific analysis process of the settlement tracking output module is as follows: Obtain the settlement information of all coal purchasing customers during the detection period, collect the number of overdue accounts and the total overdue amount based on the settlement information and mark them as the settlement overdue frequency value and the settlement overdue amount value respectively, mark the overdue duration of the corresponding overdue payment as the overdue payment timeout value, and calculate the average value of all overdue payment timeout values during the detection period to obtain the settlement timeout detection value; Calculate the settlement tracking characteristic value by performing weighted summation on the settlement overdue frequency value, the settlement overdue amount value and the settlement timeout detection value, that is, assign corresponding preset weight coefficients to the settlement overdue frequency value, the settlement overdue amount value and the settlement timeout detection value respectively, multiply the settlement overdue frequency value, the settlement overdue amount value and the settlement timeout detection value by the corresponding preset weight coefficients respectively, and mark the sum value of the three groups of product results as the settlement tracking characteristic value; moreover, the larger the value of the settlement tracking characteristic value, the higher the comprehensive settlement risk during the detection period.

[0022] Embodiment 2: As Figure 2 shown, the difference between this embodiment and Embodiment 1 is that the comprehensive evaluation module for coal transportation and sales management is communicatively connected to the quality management evaluation module for coal. The comprehensive evaluation module for coal transportation and sales management sends the qualified signal for comprehensive transportation and sales management evaluation to the quality management evaluation module for coal. When the quality management evaluation module for coal receives the comprehensive transportation and sales management evaluation signal, it conducts coal quality management evaluation analysis, and accordingly generates a qualified signal for coal quality management or an abnormal signal for coal quality management; And send the qualified signal or abnormal signal of coal quality management to the coal transportation and marketing supervision center. When the coal transportation and marketing supervision center receives the abnormal signal of coal quality management, it issues a corresponding warning to remind the supervisors to strengthen the quality control of the input coal in the follow-up, avoid the outflow of inferior coal, and ensure the quality and business reputation of the sold coal. The specific analysis process of coal quality management assessment is as follows: Obtain the number of times of judging unqualified coal quality during the detection period and calculate the ratio with the total number of sampling detections during the detection period to obtain the quality verification alarm value. Compare the quality verification alarm value with the preset quality verification alarm threshold. If the quality verification alarm value exceeds the preset quality verification alarm threshold, it indicates that the quality control performance of the input coal during the detection period is poor, and then generate an abnormal signal of coal quality management; If the quality verification alarm value does not exceed the preset quality verification alarm threshold, then mark the ratio of the coal quality verification coefficient to the preset coal quality verification coefficient threshold as the verification occupancy value. Calculate the average value of all verification occupancy values during the detection period to obtain the verification occupancy table value, and mark the largest verification occupancy value during the detection period as the verification occupancy amplitude value; Calculate the coal quality management evaluation value by weighted summing the quality verification alarm value, the verification occupancy table value, and the verification occupancy amplitude value. That is, assign corresponding preset weight coefficients to the quality verification alarm value, the verification occupancy table value, and the verification occupancy amplitude value respectively, multiply the quality verification alarm value, the verification occupancy table value, and the verification occupancy amplitude value by the corresponding preset weight coefficients respectively, and mark the sum value of the three product results as the coal quality management evaluation value. And the larger the value of the coal quality management evaluation value, the worse the comprehensive quality control performance of the input coal during the detection period; Compare the coal quality management evaluation value with the preset coal quality management evaluation threshold. If the coal quality management evaluation value exceeds the preset coal quality management evaluation threshold, it indicates that the comprehensive quality control performance of the input coal during the detection period is poor, and then generate an abnormal signal of coal quality management; if the coal quality management evaluation value does not exceed the preset coal quality management evaluation threshold, it indicates that the comprehensive quality control performance of the input coal during the detection period is good, and then generate a qualified signal of coal quality management.

[0023] Furthermore, the coal quality management assessment module is communicatively connected to the coal sampling and verification module. The coal sampling and verification module conducts sampling detections on the stored coal, analyzes based on the sampling detection result information, and sends the analysis results to the coal quality management assessment module and the coal transportation and marketing supervision center, which is not only conducive to the supervisors to detailedly master the analysis results of each sampling detection, but also can provide information support for the analysis process of the coal quality management assessment module. The specific analysis process is as follows: Obtain the quality parameters required for coal sampling and testing, and compare the test data of the corresponding quality parameters with the corresponding standard data requirements. If the test data of the corresponding quality parameters do not meet the corresponding standard data requirements, indicating that the corresponding quality parameters are abnormal, the corresponding quality parameters are marked as quality obstacle parameters; Obtain the deviation value of the detection data corresponding to the corresponding quality obstacle parameter compared with the corresponding standard data requirement and mark it as the obstacle level value, set each quality parameter in advance to correspond to a set of preset quality impact weight values ​​greater than zero, and the deeper the impact of the corresponding quality parameter on the coal quality, the greater the value of the preset quality impact weight value matched with it; multiply the obstacle level value of the corresponding quality obstacle parameter by the corresponding preset quality impact weight value, and obtain the parameter obstacle characteristic value accordingly; The parameter obstacle characteristic values ​​of all quality obstacle parameters are obtained and summed up to obtain the coal quality verification coefficient, and the coal quality verification coefficient is numerically compared with the preset coal quality verification coefficient threshold. If the coal quality verification coefficient exceeds the preset coal quality verification coefficient threshold, the coal quality of the current sampling test is judged to be unqualified; if the coal quality verification coefficient does not exceed the preset coal quality verification coefficient threshold, the coal quality of the current sampling test is judged to be qualified.

[0024] Embodiment 3: Figure 3 As shown, the difference between this embodiment and the first and second embodiments is that the coal transportation and marketing management method based on artificial intelligence proposed in the present invention includes the following steps: Step 1: Get coal order information; Step 2: Generate transportation dispatch instructions based on coal order information; Step 3: Arrange transport vehicles to load and transport coal based on the transport scheduling instructions; Step 4: Record and store the coal in and out storage record information; Step 5: Conduct a comprehensive assessment of the transportation and marketing management performance of coal, and issue an early warning when an abnormal signal of the comprehensive assessment of transportation and marketing management is generated.

[0025] Working principle of the present invention: During use, the coal order acquisition module acquires coal order information. The coal transportation scheduling module generates transportation scheduling instructions based on the coal order information, arranges transportation vehicles to load and transport coal according to the transportation scheduling instructions. The coal inbound and outbound record module records the coal inbound and outbound information. The comprehensive evaluation module for coal transportation and sales management comprehensively evaluates and accurately judges the performance of coal transportation and sales management during the detection period based on the analysis results of coal transportation management, coal storage management, and settlement risk analysis. When generating an abnormal signal for the comprehensive evaluation of transportation and sales, it reminds the supervisors to reasonably adjust the subsequent coal transportation and sales management plan and strengthen the subsequent coal transportation and sales supervision in a timely manner, which is conducive to realizing the intelligent control of the entire coal transportation and sales chain.

[0026] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The determination of the threshold in the technical solution is based on the data mean obtained through training with a large number of data dimensions. The preferred embodiments do not elaborate on all details and do not limit the invention to only the specific implementation manners. Obviously, according to the content of this specification, many modifications and variations can be made. These embodiments are selected and specifically described in this specification to better explain the principle and practical application of the present invention, so that those skilled in the relevant technical field can well understand and utilize the present invention. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. The coal transportation and marketing management system based on artificial intelligence is characterized by: It includes a coal order acquisition module, a coal transportation scheduling module, a coal in-and-out storage record module, a coal transportation and marketing management comprehensive evaluation module, and a coal transportation and marketing supervision center; the coal order acquisition module acquires the coal order information, and the coal transportation scheduling module generates corresponding transportation scheduling instructions based on the coal order information, and arranges corresponding transportation vehicles to enter the coal storage depot to load coal and transport it to the destination based on the transportation scheduling instructions; The coal in-and-out storage record module will record the amount of coal entering and leaving the coal storage warehouse as well as the entry and exit time, and send the coal in-and-out storage record information to the coal transportation and marketing supervision center; the coal transportation and marketing management comprehensive evaluation module will conduct a comprehensive evaluation of the coal transportation and marketing management performance during the detection period, and send the transportation and marketing management comprehensive evaluation qualified signal or transportation and marketing management comprehensive evaluation abnormal signal to the coal transportation and marketing supervision center.

2. The coal transportation and marketing management system based on artificial intelligence according to claim 1 is characterized in that: The comprehensive evaluation module for coal transportation and marketing management is communicatively connected to the transportation tracking output module, the storage monitoring output module and the settlement tracking output module. The transportation tracking output module sends the transportation tracking characteristic values ​​to the comprehensive evaluation module for coal transportation and marketing management through analysis; the storage monitoring output module sends the storage monitoring characteristic values ​​to the comprehensive evaluation module for coal transportation and marketing management through analysis; and the settlement tracking output module sends the coal tracking characteristic values ​​to the comprehensive evaluation module for coal transportation and marketing management through analysis.

3. The coal transportation and marketing management system based on artificial intelligence according to claim 2 is characterized in that: The specific analysis process of the comprehensive evaluation module of coal transportation and marketing management is as follows: The transport tracking characteristic value, storage monitoring characteristic value and settlement tracking characteristic value are obtained. If the transport tracking characteristic value, storage monitoring characteristic value or settlement tracking characteristic value exceeds the corresponding preset threshold, an abnormal signal of the comprehensive evaluation of transportation and marketing management is generated; otherwise, a qualified signal of the comprehensive evaluation of transportation and marketing management is generated.

4. The coal transportation and marketing management system based on artificial intelligence according to claim 2 is characterized in that: The specific analysis process of the transportation tracking output module is as follows: obtain the transportation tracking information of the corresponding coal order. If the corresponding coal order does not arrive at the destination within the specified time or the arrival loss exceeds the preset arrival loss threshold, the corresponding coal order will be marked as a tracking abnormal order; obtain the proportion of tracking abnormal orders during the detection period and mark it as a transportation tracking feature value.

5. The coal transportation and marketing management system based on artificial intelligence according to claim 2 is characterized in that: The specific analysis process of the storage monitoring output module is as follows: obtaining all single durations of the coal storage depot being in the storage monitoring optimization state during the detection period, and marking the number of occurrences of the single duration exceeding the preset single duration threshold during the detection period as the optimized risk time-frequency value, and marking the sum of all single durations during the detection period as the coal storage risk time value; The storage monitoring characteristic value is calculated by taking the weighted sum of the optimized risk time-frequency value and the coal storage risk time value.

6. The coal transportation and marketing management system based on artificial intelligence according to claim 2 is characterized in that: The specific analysis process of the settlement tracking output module is as follows: obtaining the settlement information with all coal purchasing customers during the detection period, collecting the number of arrears and the total amount of arrears based on the settlement information and marking them as settlement under-frequency value and settlement arrears value respectively, and calculating the average of all arrears overtime values ​​during the detection period to obtain the settlement timeout detection value, and obtaining the settlement tracking characteristic value by weighted summing up the settlement under-frequency value, settlement arrears value and settlement timeout detection value.

7. The coal transportation and marketing management system based on artificial intelligence according to claim 1 is characterized in that: The coal transportation and marketing management comprehensive assessment module is communicatively connected to the coal quality management assessment module. When the coal quality management assessment module receives the transportation and marketing management comprehensive assessment signal, it performs coal quality management assessment analysis, and generates a coal quality management qualified signal or a coal quality management abnormal signal based on it, and sends the coal quality management qualified signal or the coal quality management abnormal signal to the coal transportation and marketing supervision center.

8. The artificial intelligence-based coal transportation and marketing management system according to claim 7 is characterized in that: The coal quality management and evaluation module is connected to the coal sampling and verification module in communication. The coal sampling and verification module samples and tests the stored coal, analyzes the information based on the sampling and testing results, and sends the analysis results to the coal quality management and evaluation module and the coal transportation and marketing supervision center. The specific analysis process is as follows: The quality parameters required for coal sampling and testing are obtained and the quality obstacle parameters are determined. The parameter obstacle characteristic values ​​of all quality obstacle parameters are obtained and summed up to obtain the coal quality verification coefficient. If the coal quality verification coefficient exceeds the preset coal quality verification coefficient threshold, the coal quality of the current sampling test is judged to be unqualified; otherwise, the coal quality of the current sampling test is judged to be qualified.

9. The coal transportation and marketing management system based on artificial intelligence according to claim 7 is characterized in that: The specific analysis process of coal quality management evaluation and analysis is as follows: if the quality verification alarm value exceeds the preset quality verification alarm threshold, a coal quality management abnormal signal is generated; if the quality verification alarm value does not exceed the preset quality verification alarm threshold, the coal quality management evaluation value is obtained by weighted summing up the quality verification alarm value, the verification table value and the verification amplitude value. If the coal quality management evaluation value exceeds the preset coal quality management evaluation threshold, a coal quality management abnormal signal is generated; otherwise, a coal quality management qualified signal is generated.

10. A coal transportation and marketing management method based on artificial intelligence, characterized in that: The following steps are involved: Step 1: Get the coal order information; Step 2: Generate transportation dispatch instructions based on the coal order information; Step 3: Arrange transportation vehicles to load and transport coal based on the transportation dispatch instructions; Step 4: Record and store the coal in and out of the warehouse; Step 5: Comprehensively evaluate the performance of coal transportation and sales management.

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