Coal transportation unit evaluation method and device, electronic equipment and storage medium

Abstract

The invention relates to a coal transportation unit evaluation method and device, electronic equipment and a storage medium, and the method comprises the steps: calculating the upstream and downstream coal quantity qualified rate of each coal transportation batch based on the full link number quality parameter data of a plurality of coal transportation batches, and carrying out the coal quantity evaluation of the transportation units corresponding to the plurality of coal transportation batches, obtaining a coal quantity evaluation result; calculating upstream and downstream calorific value deviations of each coal transportation batch based on the full link number quality parameter data, and performing coal quality evaluation on transportation units corresponding to the plurality of coal transportation batches to obtain a coal quality evaluation result; and combining at least one coal quantity credible party and at least one coal quality credible party to obtain a comprehensive evaluation result of each transportation unit. Therefore, the technical problem that in the related technology, due to the fact that each node of the coal supply chain lacks a reliable tracing and quality inspection mechanism, real-time early warning and credibility quantitative evaluation of abnormal data are difficult to achieve, and data abnormity is difficult to early warn in time is solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of evaluation, and in particular to a coal transportation unit evaluation method and device, electronic equipment and storage medium. BACKGROUND

[0002] In the whole-link management of the coal industry chain, coal quantity and quality data are key basic data for commodity coal production (coal mining, coal washing and blending), sales settlement and downstream application (coal chemical conversion, coal-fired combustion adjustment and flexible peak shaving), and the data credibility directly affects the operation efficiency of each important link of the coal supply chain. Under the current technical system, each node of the coal supply chain (including the mining end, washing and processing plant, railway loading station, port storage hub, and terminal user end) generally adopts a discrete quality control mode, independently conducts coal quality detection, and the detection standards and equipment configuration schemes are different, resulting in conflicts in the detection data of the same batch of coal. Secondly, the whole-process data lacks a traceable chain verification mechanism, and key quality parameters (ash content, sulfur content, and calorific value) are easily affected by local error accumulation or human interference when transmitted across systems, resulting in weak data mutual trust foundation. In addition, the existing monitoring system is deployed in isolation, making it difficult to realize real-time early warning and credibility quantitative evaluation of abnormal data, and data anomalies are difficult to be timely warned, which needs to be improved. SUMMARY

[0003] The present application provides a coal transportation unit evaluation method, device, electronic equipment and storage medium to solve the technical problem that in related technologies, each node of the coal supply chain lacks reliable traceability and quality inspection mechanism, making it difficult to realize real-time early warning and credibility quantitative evaluation of abnormal data, and data anomalies are difficult to be timely warned.

[0004] The first aspect embodiment of the present application provides a coal transportation unit evaluation method, comprising the following steps: obtaining whole-link quantity and quality parameter data of a plurality of coal transportation batches; based on the whole-link quantity and quality parameter data and a preset upstream and downstream coal quantity deviation rate threshold, calculating the upstream and downstream coal quantity qualified rate of each coal transportation batch, and based on the upstream and downstream coal quantity qualified rate, performing coal quantity evaluation on the transportation unit corresponding to the plurality of coal transportation batches to obtain a coal quantity evaluation result; based on the whole-link quantity and quality parameter data and a preset upstream and downstream coal quality calorific value deviation threshold, calculating the upstream and downstream calorific value deviation of each coal transportation batch, and based on the upstream and downstream calorific value deviation and the preset upstream and downstream coal quality calorific value deviation threshold, performing coal quality evaluation on the transportation unit corresponding to the plurality of coal transportation batches to obtain a coal quality evaluation result; combining the coal quantity evaluation result and the coal quality evaluation result to obtain a comprehensive evaluation result of each transportation unit.

[0005] According to the technical means, the application can confirm the reliable transportation unit according to the full-link quantity and quality parameter data of multiple coal transportation batches, the coal quantity and the coal quality of each node involved in the coal transportation process as the evaluation indexes, so as to guarantee the data traceability and facilitate subsequent optimization of the transportation unit, thereby reducing the loss of coal in the transportation process.

[0006] Optionally, in an embodiment of the application, the calculation of the upstream and downstream coal quantity qualified rates of each coal transportation batch based on the full-link quantity and quality parameter data and the preset upstream and downstream coal quantity deviation rate threshold, and the coal quantity evaluation of the transportation units corresponding to the multiple coal transportation batches based on the upstream and downstream coal quantity qualified rates to obtain the coal quantity evaluation result, includes: calculating the coal quantity deviation rate of each coal transportation batch based on the full-link quantity and quality parameter data; screening at least one coal quantity reliable coal transportation batch satisfying a first preset reliable condition and other coal transportation batches not satisfying the first preset reliable condition from the multiple coal transportation batches based on the preset upstream and downstream coal quantity deviation rate threshold and the coal quantity deviation rate of each coal transportation batch; and calculating the qualified batch proportion of the transportation unit corresponding to each other coal transportation batch, to obtain the coal quantity evaluation result in combination with the transportation unit corresponding to the at least one coal quantity reliable coal transportation batch.

[0007] According to the technical means, the application can confirm whether the transportation unit involved in the transportation process is reliable and qualified through the deviation rate of the upstream and downstream coal quantity.

[0008] Optionally, in an embodiment of the application, the calculation of the upstream and downstream heat value deviation of each coal transportation batch based on the full-link quantity and quality parameter data and the preset upstream and downstream coal quality heat value deviation threshold includes: calculating the coal quality heat value deviation of each coal transportation batch based on the full-link quantity and quality parameter data; and screening at least one coal quality reliable coal transportation batch satisfying a second preset reliable condition from the multiple coal transportation batches based on the preset upstream and downstream coal quality heat value deviation threshold and the coal quality heat value deviation of each coal transportation batch.

[0009] According to the technical means, the application can confirm whether the transportation unit involved in the transportation process is reliable and qualified through the coal quality heat value deviation of the upstream and downstream coal quantity.

[0010] Optionally, in an embodiment of the present application, after the preset upstream and downstream coal quality heat value deviation threshold and the coal quality heat value deviation of each coal transportation batch are determined, the method further comprises: screening at least one coal quality to-be-evaluated coal transportation batch that does not meet the second preset confidence condition from the plurality of coal transportation batches; detecting the static precision of the upstream and downstream rapid detection equipment of each coal quality to-be-evaluated coal transportation batch respectively to obtain a precision detection result, and rechecking the coal quality confidence of the at least one coal quality to-be-evaluated coal transportation batch based on the precision detection result.

[0011] According to the above technical means, the embodiments of the present application can verify the calculation result to confirm whether the problem is of the rapid detection equipment, and then adjust the determination of the transportation unit to avoid misjudgment.

[0012] Optionally, in an embodiment of the present application, the rechecking of the coal quality confidence of the at least one coal quality to-be-evaluated coal transportation batch based on the precision detection result comprises: in the case that the static precision of any one of the upstream and downstream rapid detection equipment of any one coal quality to-be-evaluated coal transportation batch is qualified, adjusting the any one coal quality to-be-evaluated coal transportation batch to a coal quality confident coal transportation batch; in the case that the static precision of any one of the upstream and downstream rapid detection equipment of the any one coal quality to-be-evaluated coal transportation batch is not qualified, detecting the coal quality heat value deviation of the any one coal quality to-be-evaluated coal transportation batch by using a preset device detection strategy to obtain a rechecking result, and adjusting the any one coal quality to-be-evaluated coal transportation batch to a coal quality confident coal transportation batch in the case that the rechecking result is qualified; in the case that the static precision of both of the upstream and downstream rapid detection equipment of the any one coal quality to-be-evaluated coal transportation batch is qualified, rechecking the any one coal quality to-be-evaluated coal transportation batch by using a preset multi-source cross comparison mechanism.

[0013] According to the above technical means, the embodiments of the present application can perform corresponding rechecking according to whether the rapid detection equipment has a problem to avoid misjudgment.

[0014] Optionally, in an embodiment of the present application, the re-inspection of the any coal quality to be evaluated coal transportation batch by using the preset multi-source cross comparison mechanism comprises: obtaining upstream and downstream historical coal quality data of the any coal quality to be evaluated coal transportation batch; fitting an upstream and downstream calorific value distribution baseline respectively in combination with the upstream and downstream historical coal quality data and a regression model; calculating an upstream and downstream deviation value respectively in combination with an isolated forest algorithm and the upstream and downstream calorific value distribution baseline; mapping and scoring according to the upstream and downstream deviation values to calculate upstream and downstream credibility scores of the any coal quality to be evaluated coal transportation batch; calculating a credibility score of the any coal quality to be evaluated coal transportation batch based on the upstream and downstream credibility scores of the any coal quality to be evaluated coal transportation batch; and determining whether the transportation unit corresponding to the any coal quality to be evaluated coal transportation batch is a credible party of coal quality based on the credibility score.

[0015] According to the above technical means, in the case that both fast inspection equipment of the two parties are qualified, the present embodiment can re-inspect the result by fitting an upstream and downstream calorific value distribution baseline respectively in combination with upstream and downstream historical coal quality data and a regression model, thereby avoiding misjudgment.

[0016] The second aspect embodiment of the present application provides a coal transportation unit evaluation device, comprising: an acquisition module configured to acquire full-link quantity quality parameter data of a plurality of coal transportation batches; a first calculation module configured to calculate upstream and downstream coal quantity qualification rates of each coal transportation batch based on the full-link quantity quality parameter data and a preset upstream and downstream coal quantity deviation rate threshold, and perform coal quantity evaluation on transportation units corresponding to the plurality of coal transportation batches based on the upstream and downstream coal quantity qualification rates to obtain a coal quantity evaluation result; a second calculation module configured to calculate upstream and downstream calorific value deviations of the each coal transportation batch based on the full-link quantity quality parameter data and a preset upstream and downstream coal quality calorific value deviation threshold, and perform coal quality evaluation on the transportation units corresponding to the plurality of coal transportation batches based on the upstream and downstream calorific value deviations and the preset upstream and downstream coal quality calorific value deviation threshold to obtain a coal quality evaluation result; and an evaluation module configured to obtain a comprehensive evaluation result of the each transportation unit in combination with the coal quantity evaluation result and the coal quality evaluation result.

[0017] Optionally, in an embodiment of the present application, the first calculation module comprises: a first calculation unit configured to calculate a coal quantity deviation rate of each coal transportation batch based on the full-link quantity-quality parameter data; a first screening unit configured to screen at least one coal quantity credible coal transportation batch satisfying a first preset credibility condition and other coal transportation batches not satisfying the first preset credibility condition from the plurality of coal transportation batches based on the preset upstream and downstream coal quantity deviation rate thresholds and the coal quantity deviation rate of each coal transportation batch; and a second calculation unit configured to calculate a qualified batch proportion of a corresponding transportation unit of each other coal transportation batch, so as to obtain the coal quantity evaluation result in combination with the transportation unit corresponding to the at least one coal quantity credible coal transportation batch.

[0018] Optionally, in an embodiment of the present application, the second calculation module comprises: a third calculation unit configured to calculate a coal quality calorific value deviation of each coal transportation batch based on the full-link quantity-quality parameter data; a second screening unit configured to screen at least one coal quality credible coal transportation batch satisfying a second preset credibility condition from the plurality of coal transportation batches based on the preset upstream and downstream coal quality calorific value deviation thresholds and the coal quality calorific value deviation of each coal transportation batch; and a fourth calculation unit configured to calculate an upstream and downstream coal quality qualified rate of each coal quality credible coal transportation batch.

[0019] Optionally, in an embodiment of the present application, the second calculation module further comprises: a third screening unit configured to screen at least one coal quality to-be-evaluated coal transportation batch not satisfying the second preset credibility condition from the plurality of coal transportation batches; and a review unit configured to detect a static precision of a rapid inspection device upstream and downstream of each coal quality to-be-evaluated coal transportation batch to obtain a precision detection result, and review a coal quality credibility of the at least one coal quality to-be-evaluated coal transportation batch based on the precision detection result.

[0020] Optionally, in an embodiment of the present application, the rechecking unit comprises: a first adjusting subunit, configured to, in the case that static precision detection of any one of the upstream and downstream rapid detection devices is qualified in any coal quality to be evaluated coal transportation batch, adjust the any coal quality to be evaluated coal transportation batch to a coal quality trusted coal transportation batch; a second adjusting subunit, configured to, in the case that static precision detection of both of the upstream and downstream rapid detection devices is qualified in the any coal quality to be evaluated coal transportation batch, detect a coal quality calorific value deviation of the any coal quality to be evaluated coal transportation batch by using a preset device detection strategy, obtain a rechecking result, and in the case that the rechecking result is qualified, adjust the any coal quality to be evaluated coal transportation batch to a coal quality trusted coal transportation batch; and a rechecking subunit, configured to, in the case that static precision detection of both of the upstream and downstream rapid detection devices is qualified in the any coal quality to be evaluated coal transportation batch, recheck the any coal quality to be evaluated coal transportation batch by using a preset multi-source cross comparison mechanism.

[0021] Optionally, in an embodiment of the present application, the rechecking subunit comprises: an acquisition subunit, configured to acquire upstream and downstream historical coal quality data of the any coal quality to be evaluated coal transportation batch; a fitting subunit, configured to fit an upstream and downstream calorific value distribution baseline respectively in combination with the upstream and downstream historical coal quality data and a regression model; a first calculation subunit, configured to calculate an upstream and downstream deviation value respectively in combination with an isolation forest algorithm and the upstream and downstream calorific value distribution baseline; a second calculation subunit, configured to map and score according to the upstream and downstream deviation values to calculate an upstream and downstream trusted score of the any coal quality to be evaluated coal transportation batch; and a third calculation subunit, configured to calculate a trust score of the any coal quality to be evaluated coal transportation batch based on the upstream and downstream trusted score of the any coal quality to be evaluated coal transportation batch; and a determination subunit, configured to determine whether a transportation unit corresponding to the any coal quality to be evaluated coal transportation batch is a coal quality trusted party based on the trust score.

[0022] An embodiment of the third aspect of the present application provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, and the processor executes the program to implement the evaluation method of the coal transportation unit as described in the above embodiments.

[0023] An embodiment of the fourth aspect of the present application provides a computer readable storage medium, which stores computer instructions for causing the computer to execute the evaluation method of the coal transportation unit as described in the above embodiments.

[0024] The fifth aspect embodiment of the present application provides a computer program product comprising a computer program which, when executed, is configured to implement the coal transportation unit evaluation method described above.

[0025] The embodiments of the present application can confirm a reliable transportation unit according to the full-link quantity and quality parameter data of multiple coal transportation batches, taking the quantity and quality of coal at each node involved in the coal transportation process as evaluation indexes, so as to facilitate subsequent optimization of the transportation unit while ensuring data traceability, thereby reducing the loss of coal during transportation. Thus, the technical problem that in the related art, each node of the coal supply chain lacks reliable traceability and quality inspection mechanism, it is difficult to realize real-time early warning and reliable quantitative evaluation of abnormal data, and it is difficult to timely warn the data anomaly is solved.

[0026] Additional aspects and advantages of the present application will be in part apparent and in part pointed out hereinafter. BRIEF DESCRIPTION OF DRAWINGS

[0027] The above and / or additional aspects and advantages of the present application will become apparent and be readily appreciated from the following description, including the accompanying drawings, wherein: Figure 1 A flowchart of a coal transportation unit evaluation method according to an embodiment of the present application is provided. Figure 2 A schematic diagram of a coal quantity evaluation method according to an embodiment of the present application is provided. Figure 3 A schematic diagram of a coal quality evaluation method according to an embodiment of the present application is provided. Figure 4 A structural schematic diagram of a coal transportation unit evaluation device according to an embodiment of the present application is provided. Figure 5 A structural schematic diagram of an electronic device according to an embodiment of the present application is provided. DETAILED DESCRIPTION

[0028] The embodiments of the present application are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference signs represent the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by reference to the accompanying drawings are exemplary and are intended to explain the present application, and cannot be understood as limiting the present application.

[0029] An evaluation method, device, electronic equipment, and storage medium for a coal transportation unit are described below with reference to the accompanying drawings. In view of the technical problem in the background art that each node in a coal supply chain lacks a reliable traceability and quality inspection mechanism, it is difficult to achieve real-time early warning and credible quantitative evaluation of abnormal data, and data anomalies are difficult to timely warn, the present application provides an evaluation method for a coal transportation unit. In the method, the full-link quantity and quality parameter data of multiple coal transportation batches can be used as evaluation indexes for the quantity and quality of each node involved in the coal transportation process to identify credible transportation units, so as to ensure data traceability and facilitate subsequent optimization of transportation units to reduce the loss of coal during transportation. Thus, the technical problem in the related art that each node in a coal supply chain lacks a reliable traceability and quality inspection mechanism, it is difficult to achieve real-time early warning and credible quantitative evaluation of abnormal data, and data anomalies are difficult to timely warn is solved.

[0030] Specifically, Figure 1 A flowchart of an evaluation method for a coal transportation unit provided by an embodiment of the present application is shown.

[0031] As Figure 1 shown, the evaluation method for a coal transportation unit includes the following steps: In step S101, full-link quantity and quality parameter data of multiple coal transportation batches are obtained.

[0032] In actual execution, the full-link quantity and quality parameter data of the coal transportation batches can be dynamically collected based on a database.

[0033] The data can include: logistics information: upstream and downstream detailed pound single number, upstream and downstream loading / unloading single number, upstream and downstream pound ending time; basic attribute information: coal type code, shipping / receiving unit information; quantity and quality indexes: upstream and downstream total net weight information, upstream and downstream laboratory manual detection and online rapid detection of full moisture content (Mar), air-dry basis low-heat value (Qnet, ad), dry basis ash content (Ad), and full sulfur content (St, d) and other key coal quality parameters.

[0034] In step S102, based on the full-link quantity and quality parameter data and a preset upstream and downstream coal quantity deviation rate threshold, the upstream and downstream coal quantity qualification rate of each coal transportation batch is calculated, and the transportation unit corresponding to the multiple coal transportation batches is evaluated in terms of coal quantity based on the upstream and downstream coal quantity qualification rate to obtain a coal quantity evaluation result.

[0035] Further, the quantity data of each batch of coal can be credibly judged based on the full-link quantity and quality parameter data to determine a credible unit in terms of coal quantity.

[0036] Optionally, in one embodiment of the present application, based on the full-link digital quality parameter data and the preset upstream and downstream coal quantity deviation rate thresholds, the upstream and downstream coal quantity qualification rates of each coal transport batch are calculated, and based on the upstream and downstream coal quantity qualification rates, the coal quantity of the transport units corresponding to multiple coal transport batches is evaluated to obtain a coal quantity evaluation result, including: calculating the coal quantity deviation rate of each coal transport batch based on the full-link digital quality parameter data; based on the preset upstream and downstream coal quantity deviation rate thresholds and the coal quantity deviation rate of each coal transport batch, screening out at least one coal quantity credible coal transport batch that meets the first preset credible condition and other coal transport batches that do not meet the first preset credible condition from multiple coal transport batches; calculating the qualified batch ratio of the transport unit corresponding to each other coal transport batch respectively, and combining the transport unit corresponding to at least one coal quantity credible coal transport batch to obtain a coal quantity evaluation result.

[0037] As a possible implementation method, the embodiment of the present application can set upstream and downstream coal quantity deviation rate thresholds and use the upstream and downstream coal quantity deviation rate thresholds as standards, wherein the coal quantity deviation rate calculation formula is: Coal quantity deviation rate = .

[0038] If the coal quantity deviation rate is less than or equal to the coal quantity deviation rate threshold, the coal quantity data of this batch is determined to be credible data and is directly pushed to settlement; otherwise, the multi-source cross-comparison process is triggered and the settlement process of this batch is frozen until the credibility review is completed.

[0039] Furthermore, the embodiment of the present application can calculate the upstream and downstream qualified rates for qualified batches corresponding to the trusted data. The upstream qualified rate is indexed by the shipping unit, dynamically extracting the full amount of transportation data sent to each target receiving unit within the T-14 day time window, and counting the proportion of batches in the historical data that meet the coal quantity deviation rate threshold. The calculation formula is: Upstream qualified rate = .

[0040] The downstream qualified rate is based on the receiving unit, and the qualified rate is calculated according to the same logic to finally generate a comprehensive credibility score.

[0041] Based on the upstream and downstream qualification rates, the embodiment of the present application can regard the party with a higher qualification rate as the trusted party.

[0042] In step S103, based on the full-link digital quality parameter data and the preset upstream and downstream coal quality calorific value deviation thresholds, the upstream and downstream calorific value deviations of each coal transportation batch are calculated, and based on the upstream and downstream calorific value deviations and the preset upstream and downstream coal quality calorific value deviation thresholds, the coal quality of the transportation units corresponding to the multiple coal transportation batches is evaluated to obtain the coal quality evaluation results.

[0043] The embodiment of the present application can also use the full-link number-quality parameter data to make a reliable judgment on the coal quality data of each batch of coal.

[0044] Optionally, in an embodiment of the present application, based on the full-link number-quality parameter data and the preset upstream and downstream coal quality heat value deviation threshold, the upstream and downstream heat value deviations of each batch of coal transportation are calculated, including: calculating the coal quality heat value deviation of each batch of coal transportation based on the full-link number-quality parameter data; based on the preset upstream and downstream coal quality heat value deviation threshold and the coal quality heat value deviation of each batch of coal transportation, at least one coal quality reliable batch of coal transportation meeting a second preset reliable condition is selected from the multiple batches of coal transportation; and the upstream and downstream coal quality qualified rates of each coal quality reliable batch of coal transportation are calculated respectively.

[0045] In actual execution, the embodiment of the present application can set the upstream and downstream coal quality heat value deviation threshold; the coal quality heat value deviation calculation formula is: Coal quality heat value deviation = upstream air-dry basis low heat value - downstream air-dry basis low heat value.

[0046] If the heat value deviation is less than or equal to the coal quality heat value deviation threshold, it is determined that the batch of coal quality data is reliable data, which is directly pushed to settlement; otherwise, the upstream and downstream rapid detection equipment static precision verification process is triggered, and the settlement process of the batch is frozen until the reliability review is completed.

[0047] Optionally, in an embodiment of the present application, after the preset upstream and downstream coal quality heat value deviation threshold and the coal quality heat value deviation of each batch of coal transportation, it further includes: at least one coal quality to be evaluated batch of coal transportation not meeting the second preset reliable condition is selected from the multiple batches of coal transportation; the static precision of the rapid detection equipment of the upstream and downstream of each coal quality to be evaluated batch of coal transportation is detected respectively to obtain the precision detection result, and the coal quality reliability of at least one coal quality to be evaluated batch of coal transportation is reviewed based on the precision detection result.

[0048] For batch data that needs to be reviewed, the embodiment of the present application can perform upstream and downstream rapid detection equipment static precision qualification determination. To confirm whether the static precision of the rapid detection equipment is qualified, and then determine whether the data detected by the rapid detection equipment can be reliable according to the detection result, to perform reliability review.

[0049] Optionally, in an embodiment of the present application, the coal quality reliability of at least one coal quality to be evaluated coal transportation batch is reviewed based on the precision detection result, including: in any coal quality to be evaluated coal transportation batch, if the static precision detection of any one of the upstream and downstream rapid detection equipment is qualified, any coal quality to be evaluated coal transportation batch is adjusted to a coal quality reliable coal transportation batch; in any coal quality to be evaluated coal transportation batch, if the static precision detection of any one of the upstream and downstream rapid detection equipment is not qualified, the coal quality heat value deviation of any coal quality to be evaluated coal transportation batch is detected by using a pre-device detection strategy to obtain a re-detection result, and in the case that the re-detection result is re-detection qualified, any coal quality to be evaluated coal transportation batch is adjusted to a coal quality reliable coal transportation batch; in any coal quality to be evaluated coal transportation batch, if the static precision detection of both the upstream and downstream rapid detection equipment is qualified, any coal quality to be evaluated coal transportation batch is re-detected by using a pre-set multi-source cross comparison mechanism.

[0050] For example, if one party is qualified, the qualified party is a reliable party; if both parties are not qualified, other detection methods are enabled, such as manual detection, using manual detection data, or replacing equipment with higher precision for detection; if both parties are qualified, a multi-source cross comparison mechanism is triggered.

[0051] For the batch using other detection methods, the detection data heat value deviation is recalculated, if the heat value deviation is less than or equal to the coal quality heat value deviation threshold, it is updated to reliable data and pushed to the settlement management; otherwise, a multi-source cross comparison process is triggered.

[0052] Optionally, in an embodiment of the present application, any coal quality to be evaluated coal transportation batch is re-detected by using a pre-set multi-source cross comparison mechanism, including: obtaining upstream and downstream historical coal quality data of any coal quality to be evaluated coal transportation batch; combining the upstream and downstream historical coal quality data and the regression model to respectively fit the heat value distribution baseline of the upstream and downstream; combining the isolated forest algorithm and the heat value distribution baseline of the upstream and downstream to respectively calculate the deviation values of the upstream and downstream; according to the deviation values of the upstream and downstream, mapping and scoring to calculate the upstream and downstream reliable scores of any coal quality to be evaluated coal transportation batch; based on the upstream and downstream reliable scores of any coal quality to be evaluated coal transportation batch, calculating the reliability score of any coal quality to be evaluated coal transportation batch; based on the reliability score, determining whether the transportation unit corresponding to any coal quality to be evaluated coal transportation batch is a coal quality reliable party.

[0053] For the batch data, the upstream and downstream reliable scores are calculated respectively. The upstream score calculation formula is: Upstream score = upstream single point score + upstream comparison score

[0054] wherein,​​ and For the corresponding weight, it can be 0.3 and 0.7 respectively.

[0055] Wherein, the calculation of upstream single-point score is indexed by shipping unit and coal type information, all historical data are dynamically obtained, and based on historical coal quality data, firstly, a multiple linear regression model is constructed to predict the calorific value, and the model fitting formula is: Calorific value

[0056] Wherein, , , is the regression coefficient, and b is the intercept term.

[0057] Secondly, based on historical coal quality data, combined with the isolated forest algorithm, the absolute deviation of the predicted value of the calorific value of the current batch and the actual calorific value is calculated. The abnormal score of the actual calorific value , , The abnormal score of the whole moisture , The calculation formula of the abnormal score is:

[0058] Wherein, Indicates the path length of the index sample x of the current batch in each tree of the isolated forest algorithm, and the calculation formula is:

[0059] Wherein, t represents the number of isolated trees in the isolated forest algorithm, is the path length of the index sample x on the kth tree, which records the number of edges passing through from the root node to the leaf node to which the sample is assigned.

[0060] Wherein, c(n) is the reference value for standardizing the path length, which is defined as the average path length when a binary search tree (BST) containing n samples is constructed, and the calculation formula is:

[0061] Wherein, H(k) is the harmonic number, and the calculation formula is: .

[0062] Then, the above abnormal scores , are fused by weighting to calculate the comprehensive deviation value of the current batch. The deviation value calculation formula is:

[0063] Wherein, , 、 、 corresponding weights can be 0.3, 0.5, 0.1, and 0.1, respectively.

[0064] Finally, according to the deviation value mapping score, the final score calculation formula is: Final upstream single-point score = 100 (1-deviation value).

[0065] Wherein, the upstream comparison score is indexed by the shipping unit and the coal type information, and the total transportation data of the coal type sent to each target receiving unit within the T-14 day time window is dynamically extracted to calculate the upstream and downstream heat value deviation, upstream and downstream total sulfur content deviation, and upstream and downstream total moisture content deviation of each coal transportation batch.

[0066] First, the directly qualified batch is determined by the double median method. If the upstream and downstream heat value deviation, upstream and downstream total sulfur content deviation, and upstream and downstream total moisture content deviation of the current batch do not exceed the double median value of the corresponding index of the historical coal quality data, the batch is determined as a qualified batch.

[0067] Secondly, for the batch that does not pass the double median method, the regression model and the isolation forest algorithm are mirrored to calculate the comprehensive deviation value of the upstream and downstream deviation of each batch, and whether the deviation value of each batch is qualified is determined by setting the deviation value threshold.

[0068] Finally, the proportion of batches that meet the double median method and the coal quality deviation value threshold in the historical data is calculated to calculate the final upstream comparison score, and the calculation formula is: Final upstream comparison score = .

[0069] The downstream credible score is indexed by the receiving unit and the coal type information to generate the final score.

[0070] In step S104, at least one coal quantity credible party and at least one coal quality credible party are combined to obtain a comprehensive evaluation result of each transportation unit.

[0071] Combining the coal quantity credible party and the coal quality credible party, the comprehensive evaluation of the transportation unit can be performed by the embodiments of the present application, for example, the credibility is assigned to each transportation unit in terms of coal quantity and coal quality, and then the comprehensive score is obtained.

[0072] Combining Figure 2 and Figure 3 ​​The working principle of the evaluation method of the coal transportation unit according to the embodiment of the present application is described in one embodiment. Taking the route from the integrated out area to the Huanghua Port line, the anchoring loading and unloading line and the coal name as an example, the embodiment of the present application can set the coal quality heat value deviation threshold (ΔQ≤200 kcal / kg) and the coal quantity deviation threshold (ΔM≤0.7%) as the trusted judgment starting conditions, and perform trusted judgment on the quantity and quality data of each batch of coal, to provide the decision basis for the trade settlement.

[0073] Firstly, the full-link quantity and quality parameter data of the coal transportation batch is dynamically collected based on the database.

[0074] Further, as shown in Figure 2 , the trusted unit evaluation of the embodiment of the present application in the coal quantity aspect. The embodiment of the present application can set the upstream and downstream coal quantity deviation rate threshold, take 7 per thousand (7‰) as the judgment standard, and calculate the upstream and downstream coal quantity deviation rate of each batch.

[0075] By comparing the upstream and downstream coal quantity deviation rate threshold and the upstream and downstream coal quantity deviation rate of each batch, the qualified batch can be pushed to the settlement for evaluation, and the unqualified batch is reviewed. The proportion of the qualified batch in the historical batch determines whether the transportation unit is trusted, and the trusted transportation unit is pushed to the settlement.

[0076] Finally, the credibility score of the settlement transportation unit in the coal quantity aspect is obtained.

[0077] As shown in Figure 3 , the trusted unit evaluation of the embodiment of the present application in the coal quality aspect.

[0078] The embodiment of the present application can set the upstream and downstream coal quality heat value deviation threshold, and take 200 kcal / kg as the judgment standard.

[0079] The batch that passes can be pushed to the settlement, and the batch that does not pass is reviewed.

[0080] The first stage of review is the upstream and downstream coal quality rapid detection static precision determination. If one party is qualified, the qualified party is trusted and the settlement is pushed; if both parties are unqualified, manual detection is enabled and manual detection data is used; if both parties are qualified, a multi-source cross comparison mechanism is triggered to perform the second stage of review.

[0081] For the batch that enables manual detection, the heat value deviation of the manual detection data is recalculated, and the corresponding batch is again judged by the upstream and downstream coal quality heat value deviation threshold to determine whether it passes. The batch that passes can be pushed to the settlement.

[0082] The second stage review is the calculation of the upstream and downstream trusted scores, which are composed of single-point scores and comparison scores. The single-point score is indexed by the transportation unit and coal type information, dynamically obtains all historical data, fits the heat value distribution baseline through a regression model, calculates the current batch deviation value by combining the isolation forest algorithm, and finally maps and assigns scores according to the deviation value.

[0083] The comparison score is indexed by the transportation unit and coal type information, dynamically extracts the total transportation data of the coal type sent to each target receiving unit within a T-14 day time window, calculates the deviation value of each batch through the double median value, regression model and isolation forest algorithm, and calculates the pass rate by setting the deviation value threshold to obtain the final comparison score.

[0084] In combination with the steps of Figure 2 and Figure 3 , the embodiments of the present application can realize comprehensive evaluation of the transportation unit. Through the double verification mechanism of the coal quantity deviation checking model (threshold coal quantity deviation rate ≤0.7%) and the coal quality deviation checking model (threshold heat value deviation ≤200kcal / kg), the multi-source data is authenticated and managed, the mutual trust failure problem caused by data dispersion in the prior art is solved, the authenticity and accuracy of the data are ensured, the credibility of the data is improved, and thus the trade settlement data is authenticated once and recognized globally.

[0085] According to the coal transportation unit evaluation method proposed in the embodiments of the present application, the full-link quantity and quality parameter data of multiple coal transportation batches can be used as evaluation indexes to confirm the trusted transportation unit based on the coal quantity and coal quality of each node involved in the coal transportation process, so as to ensure data traceability and facilitate subsequent optimization of the transportation unit to reduce the loss of coal during transportation. Thus, the technical problem that in the related art, each node of the coal supply chain lacks reliable traceability and quality inspection mechanism, it is difficult to realize real-time early warning and credibility quantitative evaluation of abnormal data, and data anomalies are difficult to be timely warned is solved.

[0086] Next, the coal transportation unit evaluation device according to the embodiments of the present application is described with reference to the accompanying drawings.

[0087] Figure 4 is a block schematic diagram of the coal transportation unit evaluation device according to the embodiments of the present application.

[0088] As Figure 4 shown, the coal transportation unit evaluation device 10 includes an acquisition module 100, a first calculation module 200, a second calculation module 300, and an evaluation module 400.

[0089] Specifically, the acquisition module 100 is configured to acquire full-link quantity and quality parameter data of multiple coal transportation batches.

[0090] The first calculation module 200 is configured to calculate the upstream and downstream coal quantity qualified rates of each coal transportation batch based on the full-link quantity and quality parameter data and preset upstream and downstream coal quantity deviation rate thresholds, and perform coal quantity evaluation on the transportation units corresponding to the plurality of coal transportation batches based on the upstream and downstream coal quantity qualified rates to obtain a coal quantity evaluation result.

[0091] The second calculation module 300 is configured to calculate the upstream and downstream heat value deviations of each coal transportation batch based on the full-link quantity and quality parameter data and preset upstream and downstream coal quality heat value deviation thresholds, and perform coal quality evaluation on the transportation units corresponding to the plurality of coal transportation batches based on the upstream and downstream heat value deviations and the preset upstream and downstream coal quality heat value deviation thresholds to obtain a coal quality evaluation result.

[0092] The evaluation module 400 is configured to obtain a comprehensive evaluation result of each transportation unit in combination with at least one coal quantity trusted party and at least one coal quality trusted party.

[0093] Optionally, in an embodiment of the present application, the first calculation module 200 comprises a first calculation unit, a first screening unit and a second calculation unit.

[0094] The first calculation unit is configured to calculate the coal quantity deviation rate of each coal transportation batch based on the full-link quantity and quality parameter data.

[0095] The first screening unit is configured to screen at least one coal quantity trusted coal transportation batch satisfying a first preset trusted condition and other coal transportation batches not satisfying the first preset trusted condition from the plurality of coal transportation batches based on the preset upstream and downstream coal quantity deviation rate thresholds and the coal quantity deviation rate of each coal transportation batch.

[0096] The second calculation unit is configured to calculate a qualified batch proportion of the transportation unit corresponding to each other coal transportation batch, so as to obtain the coal quantity evaluation result in combination with the transportation unit corresponding to the at least one coal quantity trusted coal transportation batch.

[0097] Optionally, in an embodiment of the present application, the second calculation module 300 comprises a third calculation unit, a second screening unit and a fourth calculation unit.

[0098] The third calculation unit is configured to calculate the coal quality heat value deviation of each coal transportation batch based on the full-link quantity and quality parameter data.

[0099] The second screening unit is configured to screen at least one coal quality trusted coal transportation batch satisfying a second preset trusted condition from the plurality of coal transportation batches based on the preset upstream and downstream coal quality heat value deviation thresholds and the coal quality heat value deviation of each coal transportation batch.

[0100] The fourth calculation unit is configured to calculate the upstream and downstream coal quality qualified rates of each coal quality trusted coal transportation batch.

[0101] Optionally, in an embodiment of the present application, the second computing module 300 further comprises a third screening unit and a review unit.

[0102] The third screening unit is configured to screen at least one coal quality to-be-evaluated coal transportation batch that does not satisfy the second preset trust condition from the plurality of coal transportation batches.

[0103] The review unit is configured to respectively detect the static precision of the rapid detection equipment upstream and downstream of each coal quality to-be-evaluated coal transportation batch, obtain a precision detection result, and review the coal quality trust degree of the at least one coal quality to-be-evaluated coal transportation batch based on the precision detection result.

[0104] Optionally, in an embodiment of the present application, the review unit comprises a first adjustment subunit, a second adjustment subunit and a review subunit.

[0105] The first adjustment subunit is configured to, in the case that the static precision of any one of the rapid detection equipment upstream and downstream of any one of the coal quality to-be-evaluated coal transportation batches is qualified, adjust the any one of the coal quality to-be-evaluated coal transportation batches to a coal quality trusted coal transportation batch.

[0106] The second adjustment subunit is configured to, in the case that the static precision of any one of the rapid detection equipment upstream and downstream of any one of the coal quality to-be-evaluated coal transportation batches is not qualified, detect the coal quality calorific value deviation of the any one of the coal quality to-be-evaluated coal transportation batches by using a preset device detection strategy, obtain a re-detection result, and in the case that the re-detection result is re-detection qualified, adjust the any one of the coal quality to-be-evaluated coal transportation batches to a coal quality trusted coal transportation batch.

[0107] The review subunit is configured to, in the case that the static precision of both of the rapid detection equipment upstream and downstream of any one of the coal quality to-be-evaluated coal transportation batches is qualified, re-detect the any one of the coal quality to-be-evaluated coal transportation batches by using a preset multi-source cross comparison mechanism.

[0108] Optionally, in an embodiment of the present application, the review subunit comprises an acquisition subunit, a fitting subunit, a first calculation subunit, a second calculation subunit, a third calculation subunit and a determination subunit.

[0109] The acquisition subunit is configured to acquire the upstream and downstream historical coal quality data of any one of the coal quality to-be-evaluated coal transportation batches.

[0110] The fitting subunit is configured to combine the upstream and downstream historical coal quality data and a regression model to respectively fit the calorific value distribution baseline of the upstream and downstream.

[0111] The first calculation sub-element is configured to calculate the deviation values of the upstream and downstream by combining the isolated forest algorithm and the heat value distribution baselines of the upstream and downstream.

[0112] The second calculation sub-element is configured to map and score the deviation values of the upstream and downstream to calculate the trusted scores of the upstream and downstream of the coal transportation batch to be evaluated.

[0113] The third calculation sub-element is configured to calculate the trust score of the coal transportation batch to be evaluated based on the trusted scores of the upstream and downstream of the coal transportation batch to be evaluated.

[0114] The determination sub-element is configured to determine whether the transportation unit corresponding to the coal transportation batch to be evaluated is a trusted party based on the trust score.

[0115] It should be noted that the above-mentioned explanation of the coal transportation unit evaluation method embodiment is also applicable to the coal transportation unit evaluation device of the embodiment, which will not be described here.

[0116] The coal transportation unit evaluation device provided by the embodiment of the present application can confirm the trusted transportation unit based on the full-link quantity and quality parameter data of multiple coal transportation batches, and take the coal quantity and coal quality of each node involved in the coal transportation process as the evaluation index, so as to ensure data traceability and facilitate subsequent transportation unit optimization, thereby reducing the loss of coal during transportation. Thus, the technical problem of lack of reliable traceability and quality inspection mechanism for each node of the coal supply chain in the related art, difficulty in realizing real-time early warning and trust quantification evaluation of abnormal data, and difficulty in timely early warning of data abnormalities is solved.

[0117] Figure 5 The electronic device provided by the embodiment of the present application is shown in the structural schematic diagram. The electronic device can include: The memory 501, the processor 502, and the computer program stored in the memory 501 and executable on the processor 502.

[0118] The processor 502 implements the coal transportation unit evaluation method provided in the above-mentioned embodiments when executing the program.

[0119] Further, the electronic device further includes: The communication interface 503 is configured to communicate between the memory 501 and the processor 502.

[0120] The memory 501 is configured to store the computer program executable on the processor 502.

[0121] The memory 501 can include a high-speed RAM memory, and can also include a non-volatile memory, such as at least one disk memory.

[0122] If the memory 501, the processor 502 and the communication interface 503 are implemented independently, the communication interface 503, the memory 501 and the processor 502 can be connected with each other through a bus and complete communication between each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For convenience of representation, Figure 5 In the figure, only one thick line is used to represent the bus, but it does not mean that there is only one bus or only one type of bus.

[0123] Optionally, in a specific implementation, if the memory 501, the processor 502 and the communication interface 503 are integrated on a chip, the memory 501, the processor 502 and the communication interface 503 can complete communication between each other through an internal interface.

[0124] The processor 502 can be a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or one or more integrated circuits configured to implement one or more embodiments of the present application.

[0125] The embodiment further provides a computer readable storage medium, having stored thereon a computer program, which, when executed by a processor, implements the coal transportation unit evaluation method.

[0126] The embodiment of the present application further provides a computer program product, comprising a computer program, which, when executed by a processor, implements the coal transportation unit evaluation method provided by the embodiment of the present application.

[0127] In the description of the application, reference to "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" means that a particular feature, structure, material, or characteristic being described is included in at least one embodiment or example of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment or example. Furthermore, the described specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples. In addition, the usage of "N" means at least two, for example, two, three or the like, unless explicitly stated otherwise.

[0128] Furthermore, the terms "first", "second", or the like, are used merely as a designation of certain elements or features, and do not imply or connote relative importance or a specific order of categorization thereof. Accordingly, features described as "first" or "second" can be explicitly or implicitly included in at least one of the features. In the description of the application, the meaning of "N" is at least two, for example, two, three, etc., unless explicitly specified otherwise.

[0129] Any process or method descriptions or blocks in flow charts or otherwise described herein represent embodiments which can be managed as one or more modules, segments, or portions of code which include one or more executable instructions for implementing specific logic functions or steps, and alternate implementations are possible. In some embodiments, the processes and methods described can be executed by one or more apparatuses or devices, either directly or after conversion to another language. Alternate implementations are possible.

[0130] The logic and / or steps represented in flow diagrams or otherwise described herein, for example, can be considered as a sequence of executable instructions, and can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For purposes of this specification, a "computer-readable medium" can be any apparatus that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. The computer-readable medium can be a product of the manufacturing and / or processing. The computer-readable medium can include, but is not limited to, the following: an electronic connection (an electronic device with one or N wires), a portable computer diskette (a magnetic device), a RAM (random access memory), a ROM (read-only memory), an EPROM (erasable programmable ROM) or a Flash memory, an optical fiber, and a portable CD ROM. In addition, the computer-readable medium can even be paper or other suitable medium upon which the program is printed, as the program can be electronically captured, via the optically scanning of the paper or other suitable medium, then compiled, interpreted, or otherwise processed in a suitable manner, if necessary, and stored in a computer memory.

[0131] It should be understood that aspects of the application can be implemented in hardware, software, firmware or combinations thereof. In the above embodiments, the N steps or methods can be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. As such, if implemented in hardware and in another embodiment, any of the following technologies, known in the art, or their combinations can be used: discrete logic circuitry having logic gates for implementing logic functions on data signals, application specific integrated circuits having appropriate combinational logic gates, programmable gate arrays (PGA), field programmable gate arrays (FPGA), and the like.

[0132] Those of ordinary skill in the art can understand that all or part of the steps carried out by the above-mentioned embodiments can be completed by programs instructing relevant hardware, and the programs can be stored in a computer-readable storage medium. When the programs are executed, one or a combination of the steps of the method embodiments is included.

[0133] In addition, the functional units in the various embodiments of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into a module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0134] The storage medium mentioned above may be a read-only memory, a magnetic disk, or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application. Persons skilled in the art may make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.

Claims

1. A method for evaluating a coal transportation unit, characterized in that: The following steps are involved: Obtain full-link quantitative and quality parameter data for multiple coal transportation batches; Based on the full-link data quality parameter data and the preset upstream and downstream coal quantity deviation rate thresholds, calculating the upstream and downstream coal quantity deviation values ​​of each coal transportation batch, and performing coal quantity evaluation on the transportation units corresponding to the multiple coal transportation batches based on the upstream and downstream coal quantity deviation values ​​and the preset upstream and downstream coal quantity deviation rate thresholds to obtain a coal quantity evaluation result; Based on the full-link data quality parameter data and the preset upstream and downstream coal quality calorific value deviation thresholds, the upstream and downstream calorific value deviations of each coal transportation batch are calculated, and based on the upstream and downstream calorific value deviations and the preset upstream and downstream coal quality calorific value deviation thresholds, the coal quality evaluation is performed on the transportation units corresponding to the multiple coal transportation batches to obtain a coal quality evaluation result; The comprehensive evaluation result of each transport unit is obtained by combining the coal quantity evaluation result and the coal quality evaluation result.

2. The method according to claim 1, characterized in that The method further comprises calculating the upstream and downstream coal quantity qualification rates of each coal transportation batch based on the full-link data quality parameter data and preset upstream and downstream coal quantity deviation rate thresholds, and performing coal quantity evaluation on the transportation units corresponding to the multiple coal transportation batches based on the upstream and downstream coal quantity qualification rates to obtain coal quantity evaluation results, including: Calculating the coal quantity deviation rate of each coal transportation batch based on the full-link quantity and quality parameter data; Based on the preset upstream and downstream coal quantity deviation rate thresholds and the coal quantity deviation rate of each coal transportation batch, screening out at least one coal transportation batch with a credible coal quantity that meets a first preset credibility condition and other coal transportation batches that do not meet the first preset credibility condition from the multiple coal transportation batches; The qualified batch ratio of each other coal transportation batch corresponding to the transportation unit is calculated respectively, so as to obtain the coal quantity evaluation result in combination with the transportation unit corresponding to the at least one coal quantity reliable coal transportation batch.

3. The method according to claim 1, characterized in that The calculating of the upstream and downstream calorific value deviations of each coal transport batch based on the full-link quantitative and qualitative parameter data and the preset upstream and downstream coal quality calorific value deviation thresholds includes: Calculating the coal calorific value deviation of each coal transportation batch based on the full-link quantitative and qualitative parameter data; Based on the preset upstream and downstream coal quality calorific value deviation thresholds and the coal quality calorific value deviation of each coal transportation batch, at least one coal transportation batch with reliable coal quality that meets a second preset credibility condition is screened out from the multiple coal transportation batches; Calculate the upstream and downstream coal quality qualification rates of each reliable coal transportation batch separately.

4. The method according to claim 3, characterized in that After the preset upstream and downstream coal calorific value deviation thresholds and the coal calorific value deviation of each coal transportation batch are determined, the method further includes: Screening out at least one coal transport batch to be evaluated whose coal quality does not meet the second preset credibility condition from the multiple coal transport batches; The static precision of the rapid inspection equipment upstream and downstream of each coal transportation batch to be evaluated is tested respectively to obtain the precision test results, and the coal quality credibility of the at least one coal transportation batch to be evaluated is reviewed based on the precision test results.

5. The method according to claim 4, characterized in that The reviewing of the coal quality credibility of the at least one coal transportation batch to be evaluated based on the precision test result includes: In any coal transport batch whose coal quality is to be evaluated, if any one of the upstream and downstream rapid testing equipment passes the static precision test, the coal transport batch whose coal quality is to be evaluated will be adjusted to a coal transport batch with reliable coal quality; In the case that none of the upstream and downstream rapid testing equipment in any of the coal transport batches to be evaluated passes the static precision test, the coal quality calorific value deviation of the coal transport batch to be evaluated is tested using a preset backup testing strategy to obtain a re-test result, and if the re-test result is qualified, the coal transport batch to be evaluated is adjusted to a coal transport batch with reliable coal quality; In any of the coal transport batches whose coal quality is to be evaluated, if the static precision tests of both the upstream and downstream rapid inspection equipment are qualified, the preset multi-source cross-comparison mechanism is used to re-inspect the coal transport batches whose coal quality is to be evaluated.

6. The method according to claim 5, characterized in that The re-inspection of any coal transportation batch to be evaluated by using a preset multi-source cross comparison mechanism includes: Obtaining upstream and downstream historical coal quality data for any coal transportation batch to be evaluated; Combining the upstream and downstream historical coal quality data and the regression model, respectively fitting the upstream and downstream calorific value distribution baselines; Combining the isolation forest algorithm with the upstream and downstream calorific value distribution baselines, respectively calculating the upstream and downstream deviation values; Assigning scores based on the upstream and downstream deviation values ​​to calculate upstream and downstream credibility scores for any coal transportation batch to be evaluated; Calculating a credibility score for any coal transportation batch to be evaluated based on the upstream and downstream credibility scores of the coal transportation batch to be evaluated; Based on the credibility score, it is determined whether the transportation unit corresponding to any of the coal transportation batches to be evaluated is a coal quality trustworthy party.

7. An evaluation device for a coal transport unit, characterized in that: include: The acquisition module is used to obtain the full-link quality parameter data of multiple coal transportation batches; A first calculation module is configured to calculate the upstream and downstream coal quantity qualification rate of each coal transportation batch based on the full-link data quality parameter data and preset upstream and downstream coal quantity deviation rate thresholds, and perform coal quantity evaluation on the transportation units corresponding to the multiple coal transportation batches based on the upstream and downstream coal quantity qualification rates to obtain a coal quantity evaluation result; A second calculation module is configured to calculate the upstream and downstream calorific value deviations of each coal transport batch based on the full-link numerical quality parameter data and the preset upstream and downstream coal quality calorific value deviation thresholds, and perform coal quality evaluation on the transport units corresponding to the multiple coal transport batches based on the upstream and downstream calorific value deviations and the preset upstream and downstream coal quality calorific value deviation thresholds to obtain a coal quality evaluation result; An evaluation module is used to combine the coal quantity evaluation result and the coal quality evaluation result to obtain a comprehensive evaluation result of each transportation unit.

8. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method for evaluating a coal transportation unit according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the evaluation method for a coal transportation unit as described in any one of claims 1 to 6.

10. A computer program product, comprising a computer program, wherein when the computer program is executed, the computer program is used to implement the evaluation method of the coal transportation unit according to any one of claims 1 to 6.

Images