Logistics information processing method and device, storage medium and electronic equipment

Abstract

The present disclosure belongs to the technical field of computers and relates to a logistics information processing method and device, a storage medium and an electronic device. The method comprises: obtaining initial logistics information, performing abnormality identification processing on the initial logistics information to obtain abnormal logistics information; performing cause labeling processing on the abnormal logistics information to obtain abnormal cause information, and performing event integration processing on the abnormal logistics information to obtain an abnormal event number of the abnormal logistics information; performing abnormality level query on the abnormal event number, the abnormal cause information and the abnormal logistics information to obtain an abnormality level of the abnormal logistics information, and pushing the abnormal logistics information according to the abnormality level. The present disclosure uniformly monitors logistics information, maintains a unified understanding and grasp of abnormal logistics information, improves the processing efficiency of processing personnel, timely intervenes in and remedies abnormal logistics information, and the logistics information processing mode is suitable for all business scenarios of logistics and has high expansibility.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of computer, and particularly relates to a logistics information processing method and device, a computer readable storage medium and an electronic device. BACKGROUND

[0002] At present, each logistics group, and the regions and battlefields of the logistics group have abnormal monitoring, and each business line also has monitoring indicators. However, most of the abnormal monitoring is post-management, and cannot achieve timely intervention and solution.

[0003] Therefore, when the logistics has time delay, non-standard operation, abnormal report, customer complaint abnormality and other abnormal conditions, unified control cannot be achieved, managers lack quantitative data, and front-line institutions cannot be dispatched in real time to intervene and solve the abnormality, so that the problem can be solved before customer complaint. At the same time, the multi-department abnormal control presents a fragmented management mode, and it is difficult to achieve aggregation effect.

[0004] Therefore, there is an urgent need in the art to develop a new logistics information processing method and device.

[0005] It should be noted that the information disclosed in the above background section is only used to strengthen the understanding of the background of the present disclosure, and therefore can include information that does not constitute prior art known to those of ordinary skill in the art. SUMMARY

[0006] The purpose of the present disclosure is to provide a logistics information processing method, a logistics information processing device, a computer readable storage medium and an electronic device, thereby at least partially overcoming the technical problems of untimely and non-uniform abnormal processing caused by the limitations of the related art.

[0007] Other characteristics and advantages of the present disclosure will become apparent from the following detailed description, or will be learned by practice of the present disclosure.

[0008] According to a first aspect of the present disclosure, a logistics information processing method is provided, the method comprising: acquiring initial logistics information, and performing abnormal identification processing on the initial logistics information to obtain abnormal logistics information;

[0009] performing cause labeling processing on the abnormal logistics information to obtain abnormal cause information, and performing event integration processing on the abnormal logistics information to obtain an abnormal event number of the abnormal logistics information;

[0010] performing abnormal level query on the abnormal event number, the abnormal cause information and the abnormal logistics information to obtain an abnormal level of the abnormal logistics information, and pushing the abnormal logistics information according to the abnormal level.

[0011] In an example embodiment of the present application, the abnormal identification processing on the initial logistics information obtains abnormal logistics information, comprising:

[0012] Obtaining the routing plan time in the initial logistics information, and determining the logistics operation time according to the routing plan time;

[0013] If the logistics operation time is not determined according to the routing plan time, determining that the initial logistics information is abnormal logistics information.

[0014] In an example embodiment of the present application, the abnormal level query on the abnormal event number, the abnormal reason information and the abnormal logistics information obtains the abnormal level of the abnormal logistics information, comprising:

[0015] Obtaining the abnormal single quantity of the abnormal logistics information included in the abnormal event number, and determining the delay duration according to the routing plan time of the abnormal logistics information included in the abnormal event number;

[0016] According to the abnormal single quantity, the delay duration and the abnormal reason information, the abnormal level query in the pre-prepared abnormal identification strategy obtains the abnormal level of the abnormal logistics information.

[0017] In an example embodiment of the present application, after the abnormal level query on the abnormal event number, the abnormal reason information and the abnormal logistics information obtains the abnormal level of the abnormal logistics information, the method further comprises:

[0018] If the abnormal reason information is logistics safety information, the abnormal level is upgraded to obtain the updated abnormal level.

[0019] In an example embodiment of the present application, the reason annotation processing on the abnormal logistics information obtains the abnormal reason information, comprising:

[0020] Obtaining the abnormal scene identifier, and obtaining the identifier reason information corresponding to the abnormal scene identifier;

[0021] According to the abnormal logistics information, the target scene identifier is determined in the abnormal scene identifier, and the identifier reason information corresponding to the target scene identifier is determined as the abnormal reason information according to the corresponding relationship.

[0022] In an example embodiment of the present application, the abnormal logistics information is pushed according to the abnormal level, comprising:

[0023] Obtaining the abnormal link information and the abnormal department information in the abnormal logistics information;

[0024] According to the abnormal link information, the abnormal department information and the abnormal level information, the abnormal logistics information is pushed.

[0025] In an exemplary embodiment of the present application, the method further comprises:

[0026] The abnormal logistics information is continuously monitored to determine a continuous duration of the abnormal logistics information, and a duration threshold corresponding to the continuous duration is obtained;

[0027] If the continuous duration is greater than the duration threshold, logistics cumulative information corresponding to the abnormal logistics information is generated.

[0028] According to a second aspect of the embodiments of the present application, a logistics information processing device is provided, which comprises: an abnormality identification module configured to obtain initial logistics information and perform abnormality identification processing on the initial logistics information to obtain abnormal logistics information;

[0029] an event integration module configured to perform cause annotation processing on the abnormal logistics information to obtain abnormal cause information, and perform event integration processing on the abnormal logistics information to obtain an abnormal event number of the abnormal logistics information;

[0030] an abnormality pushing module configured to perform abnormality level query on the abnormal event number, the abnormal cause information and the abnormal logistics information to obtain an abnormality level of the abnormal logistics information, and push the abnormal logistics information according to the abnormality level.

[0031] In an exemplary embodiment of the present application, the abnormality identification processing on the initial logistics information to obtain abnormal logistics information comprises:

[0032] obtaining a routing plan time in the initial logistics information, and determining a logistics operation time according to the routing plan time;

[0033] If the logistics operation time is not determined according to the routing plan time, the initial logistics information is determined as abnormal logistics information.

[0034] In an exemplary embodiment of the present application, the abnormality level query on the abnormal event number, the abnormal cause information and the abnormal logistics information to obtain an abnormality level of the abnormal logistics information comprises:

[0035] obtaining an abnormal single quantity of the abnormal logistics information included in the abnormal event number, and determining a delay duration according to a routing plan time of the abnormal logistics information included in the abnormal event number;

[0036] performing abnormality level query according to the abnormal single quantity, the delay duration and the abnormal cause information to obtain the abnormality level of the abnormal logistics information.

[0037] In an example embodiment of the present application, the method further comprises:

[0038] If the abnormal reason information is the logistics security information, the abnormal level is upgraded to obtain an updated abnormal level.

[0039] In an example embodiment of the present application, the abnormal reason information is obtained by marking the abnormal logistics information, comprising:

[0040] An abnormal scene identifier is obtained, and identification reason information corresponding to the abnormal scene identifier is obtained;

[0041] A target scene identifier is determined from the abnormal scene identifier according to the abnormal logistics information, and identification reason information corresponding to the target scene identifier is determined as the abnormal reason information according to the corresponding relationship.

[0042] In an example embodiment of the present application, the abnormal logistics information is pushed according to the abnormal level, comprising:

[0043] Abnormal link information and abnormal department information in the abnormal logistics information are obtained;

[0044] The abnormal logistics information is pushed according to the abnormal link information, the abnormal department information and the abnormal level information.

[0045] In an example embodiment of the present application, the method further comprises:

[0046] The abnormal logistics information is continuously monitored to determine a continuous duration of the abnormal logistics information, and a duration threshold corresponding to the continuous duration is obtained;

[0047] If the continuous duration is greater than the duration threshold, logistics cumulative information corresponding to the abnormal logistics information is generated.

[0048] According to a third aspect of the embodiments of the present application, an electronic device is provided, comprising a processor and a memory; wherein the memory stores computer readable instructions, and the computer readable instructions are executed by the processor to implement the logistics information processing method of any of the example embodiments.

[0049] According to a fourth aspect of the embodiments of the present application, a computer readable storage medium is provided, which stores a computer program, and the computer program is executed by a processor to implement the logistics information processing method in any of the example embodiments.

[0050] From the above technical solutions, the logistics information processing method, the logistics information processing device, the computer storage medium and the electronic equipment in the exemplary embodiments of the present application have at least the following advantages and positive effects:

[0051] In the method and device provided in the exemplary embodiments of the present disclosure, on the one hand, the event integration processing of the abnormal logistics information can uniformly process the abnormal logistics information of the same abnormal type, avoiding the waste of human cost and processing cost caused by repeated processing; and the abnormal logistics information is pushed according to the abnormal level, realizing the accurate feedback of the abnormal situation and accelerating the processing speed of the processing personnel on the abnormal logistics information. On the other hand, the logistics information is uniformly monitored, avoiding the self-monitoring of each operation unit from each logistics link, maintaining the unified understanding and grasp of the abnormal logistics information, improving the processing efficiency of the processing personnel, timely intervening and remedying the abnormal logistics information, and improving the user's satisfaction. Further, the logistics information processing method is applicable to all business scenarios of logistics and has high expansibility.

[0052] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present disclosure. BRIEF DESCRIPTION OF DRAWINGS

[0053] The accompanying drawings, which are incorporated into the specification and constitute a part of the specification, illustrate embodiments consistent with the present disclosure and, together with the specification, serve to explain the principles of the present disclosure. Obviously, the drawings in the following description are only some embodiments of the present disclosure, and other drawings can be obtained from these drawings without creative labor for those skilled in the art.

[0054] Figure 1 The flowchart schematically shows a logistics information processing method in the exemplary embodiments of the present disclosure;

[0055] Figure 2 The flowchart schematically shows a method of abnormal identification processing in the exemplary embodiments of the present disclosure;

[0056] Figure 3 The flowchart schematically shows a method of reason annotation processing in the exemplary embodiments of the present disclosure;

[0057] Figure 4 The flowchart schematically shows a method of abnormal level query in the exemplary embodiments of the present disclosure;

[0058] Figure 5 The flowchart schematically shows a method of pushing abnormal logistics information in the exemplary embodiments of the present disclosure;

[0059] Figure 6A flowchart schematically showing a method of generating logistics cumulative information in an exemplary embodiment of the present disclosure is shown;

[0060] Figure 7 A system schematic diagram of logistics information processing in an application scenario in an exemplary embodiment of the present disclosure is shown;

[0061] Figure 8 A flowchart schematically showing a method of logistics information processing in an application scenario in an exemplary embodiment of the present disclosure is shown;

[0062] Figure 9 A structure schematic diagram of a logistics information processing apparatus in an exemplary embodiment of the present disclosure is shown;

[0063] Figure 10 An electronic device for implementing a logistics information processing method in an exemplary embodiment of the present disclosure is shown;

[0064] Figure 11 A computer readable storage medium for implementing a logistics information processing method in an exemplary embodiment of the present disclosure is shown. DETAILED DESCRIPTION

[0065] Example implementations will now be described more fully with reference to the accompanying drawings. Example implementations can be implemented in any

[0066] The terms "one", "an", "the" and "said" are used to mean one or more of something; the terms "comprises", "comprising", "includes", "including" and the like can mean

[0067] In addition, the accompanying drawings are only schematic and are not necessarily drawn to scale. The same reference numerals in different drawings denote the same or similar functionality throughout the various figures. The drawings recorded in the drawings show some block diagrams as functional entities, which do not necessarily have to correspond to physically or logically independent entities.

[0068] At present, each logistics group and the region and theater of the logistics group have abnormal monitoring, and each business line also has monitoring indicators. However, most of the abnormal monitoring is post-management, which cannot achieve timely intervention and solution.

[0069] Therefore, when the logistics has time delay, non-standard operation, abnormal report, customer complaint abnormality and other abnormal situations, unified control cannot be achieved, managers lack quantitative data, and front-line institutions cannot be dispatched in real time to intervene and solve the abnormality, so that the problem can be solved before customer complaint. At the same time, the multi-department abnormal control presents a fragmented management mode, and it is difficult to achieve aggregation effect.

[0070] In view of the problems in the related art, the present disclosure provides a logistics information processing method. Figure 1 The flowchart of the logistics information processing method is shown in FIG. 1. Figure 1 As shown in FIG. 1, the logistics information processing method at least includes the following steps:

[0071] Step S110. Obtain initial logistics information, and perform abnormal identification processing on the initial logistics information to obtain abnormal logistics information.

[0072] Step S120. Perform reason labeling processing on the abnormal logistics information to obtain abnormal reason information, and perform event integration processing on the abnormal logistics information to obtain an abnormal event number of the abnormal logistics information.

[0073] Step S130. Perform abnormal level query on the abnormal event number, the abnormal reason information and the abnormal logistics information to obtain an abnormal level of the abnormal logistics information, and push the abnormal logistics information according to the abnormal level.

[0074] In the exemplary embodiments of the present disclosure, on the one hand, the event integration processing is performed on the abnormal logistics information, which can uniformly process the abnormal logistics information of the same abnormal type, avoiding the waste of human cost and processing cost caused by repeated processing; and the abnormal logistics information is pushed according to the abnormal level, which realizes the accurate feedback of the abnormal situation and accelerates the processing speed of the processing personnel on the abnormal logistics information. On the other hand, the logistics information is uniformly monitored, which avoids the self-monitoring of each operation unit from each logistics link, maintains the unified understanding and grasp of the abnormal logistics information, improves the processing efficiency of the processing personnel, timely intervenes and remedies the abnormal logistics information, and improves the user's satisfaction. Further, the logistics information processing method is applicable to all business scenarios of logistics, and has high expansibility.

[0075] The steps of the logistics information processing method are described in detail below.

[0076] In step S110, initial logistics information is obtained, and abnormal logistics information is obtained by performing abnormality identification processing on the initial logistics information.

[0077] In an exemplary embodiment of the present disclosure, the initial logistics information can be information of all running nodes of all logistics monitored from the beginning of ordering to the closing loop process of delivery. However, abnormal logistics information that generates an abnormality may occur in the initial logistics information, which can be determined by performing abnormality identification processing on the initial logistics information.

[0078] In an optional embodiment, Figure 2 A flowchart of the method of abnormality identification processing is shown, as Figure 2 As shown in the figure, the method comprises at least the following steps: in step S210, the routing plan time in the initial logistics information is obtained, and the logistics operation time is determined according to the routing plan time.

[0079] In order to determine the abnormal logistics information in the initial logistics information, the routing plan time in the initial logistics information can be obtained. The logistics plan time sets the planned time for logistics to reach each running node from the beginning of ordering to the closing loop process of delivery.

[0080] Therefore, the logistics operation time actually generated by the corresponding running node can be found by the routing plan time.

[0081] In step S220, if the logistics operation time is not determined according to the routing plan time, the initial logistics information is determined as abnormal logistics information.

[0082] When the logistics operation time is not identified by the routing plan time, it can be determined that the logistics has not generated effective effect at the corresponding running node from the beginning of ordering to the closing loop process of delivery, and therefore the initial logistics information is abnormal logistics information.

[0083] In the present exemplary embodiment, the abnormal logistics information in the initial logistics information can be found by the routing plan time, the finding method is simple and accurate, and perfectly fits the logistics running process, which can effectively determine the abnormal logistics information.

[0084] In step S120, the abnormal logistics information is subjected to cause annotation processing to obtain abnormal cause information, and the abnormal logistics information is subjected to event integration processing to obtain an abnormal event number of the abnormal logistics information.

[0085] In an exemplary embodiment of the present disclosure, after the abnormal logistics information is determined, the abnormal logistics information can be subjected to cause annotation processing.

[0086] In an optional embodiment, Figure 3 A flowchart of a method for cause labeling processing is shown, as Figure 3 As shown in the figure, the method comprises at least the following steps: in step S310, obtaining an abnormal scene identifier, and obtaining identifier cause information corresponding to the abnormal scene identifier.

[0087] The abnormal scene identifier can be identifier information of a plurality of abnormal scenes set in advance according to normal abnormal experience. The abnormal scene identifier can uniquely represent an abnormal scene, and the abnormal scene includes information such as links, types, nodes, time, and routes in logistics information.

[0088] After setting the abnormal scene identifiers of the plurality of abnormal scenes, the corresponding identifier cause information can also be labeled for the corresponding abnormal scene identifier. The identifier cause information can represent the abnormal cause under the abnormal scene represented by the abnormal scene identifier.

[0089] In step S320, the target scene identifier is determined in the abnormal scene identifier according to the abnormal logistics information, and the identifier cause information corresponding to the target scene identifier is determined as the abnormal cause information according to the corresponding relationship.

[0090] Since the abnormal scene identifier includes information such as links, types, nodes, time, and routes in logistics information, the corresponding information in the abnormal scene identifier can be matched according to the information such as links, types, nodes, time, and routes in the abnormal logistics information, so as to determine the corresponding abnormal scene identifier as the target scene identifier according to the information such as links, types, nodes, time, and routes in the abnormal logistics information.

[0091] And since the target scene identifier has identifier cause information corresponding thereto, through the corresponding relationship between the target scene identifier and the identifier cause information, the identifier cause information corresponding to the target scene identifier can be determined, and the identifier cause information is determined as the abnormal cause information corresponding to the abnormal logistics information.

[0092] In the present exemplary embodiment, the abnormal scene identifier and the identifier cause information can label the corresponding abnormal cause information for the abnormal logistics information, achieving the effect of automatic and unified labeling of abnormal cause information, saving labor cost and labeling cost, and increasing the overall intelligent level of logistics information processing mode to a certain extent.

[0093] Further, the abnormal logistics information can also be subjected to event integration processing.

[0094] Specifically, when performing event integration processing on the abnormal logistics information, the line, shift, network point, type and batch information in the abnormal logistics information can be obtained. Moreover, the abnormal logistics information with the same line, shift, network point, type and batch is integrated into one abnormal event, and the abnormal event is given an abnormal event number with uniqueness, so that the overall management and processing of the abnormal event is performed through the abnormal event number, and the repeated operation on the same abnormal event is reduced.

[0095] In step S130, the abnormal event number, abnormal reason information and abnormal logistics information are queried for the abnormal level of the abnormal logistics information, and the abnormal logistics information is pushed according to the abnormal level.

[0096] In an exemplary embodiment of the present disclosure, after the abnormal event number and abnormal reason information are generated, the abnormal logistics information can be queried for the abnormal level.

[0097] In an optional embodiment, Figure 4 A flowchart of a method for querying the abnormal level is shown, as Figure 4 As shown in the figure, the method comprises at least the following steps: in step S410, the abnormal logistics information included in the abnormal event number is obtained, and the delay duration is determined according to the routing plan time of the abnormal logistics information included in the abnormal event number.

[0098] Since one abnormal event number represents the same abnormal event, the number of abnormal logistics information of the abnormal event existing under the abnormal event number, i.e. the abnormal single quantity, can be counted.

[0099] Further, since the abnormal logistics information under the abnormal event number includes the routing plan event, the delay duration of the abnormal logistics information from the current time can be determined through the calculation of the routing plan event and the current time.

[0100] In step S420, the abnormal level of the abnormal logistics information is queried in the pre-prepared abnormal identification strategy according to the abnormal single quantity, the delay duration and the abnormal reason information.

[0101] After the abnormal single quantity and the delay duration are obtained, the abnormal level of the abnormal logistics information can be determined in the pre-prepared abnormal identification strategy according to the abnormal single quantity, the delay duration and the abnormal reason information.

[0102] For example, the pre-established abnormality identification strategy includes determining the abnormality level of the abnormal logistics information as level 2 when the number of abnormal orders is greater than 10,000, the delay time is 12 hours, and the abnormal reason is late delivery; determining the abnormality level of the abnormal logistics information as level 3 when the number of abnormal orders is greater than 10,000, the delay time is 24 hours, and the abnormal reason is late delivery; and the pre-established abnormality identification strategy includes determining the abnormality level of the abnormal logistics information as level 4 when the number of abnormal orders is greater than 10,000, the delay time is 48 hours, and the abnormal reason is late delivery.

[0103] The higher the abnormality level is, the more serious the abnormality is. In addition to the delay time, other forms of abnormality level query can also be performed according to actual conditions, which are not specially limited in the example embodiment.

[0104] In the example embodiment, the abnormality level of the abnormal logistics information can be determined by the multiple information of the abnormal logistics information, which provides reference information for subsequent abnormal logistics information pushing, so as to more accurately indicate each department to process the abnormal logistics information according to the urgency.

[0105] Since the most important thing for logistics is the safety type of abnormal logistics information, after determining the abnormality level of the abnormal logistics information, the abnormality level of this type of abnormal logistics information can be updated.

[0106] In the optional embodiment, if the abnormal reason information is logistics safety information, the abnormality level is upgraded to obtain an updated abnormality level.

[0107] The logistics safety information includes package damage and package loss information. Therefore, after the abnormal reason information specifies the abnormality level, the abnormal reason information can be identified as package damage and package loss.

[0108] If it is determined that the abnormal reason information is package damage and package loss, the abnormality level is upgraded to level 2 as an updated abnormality level. In addition, other levels of level upgrade can also be performed according to actual conditions and requirements, which are not specially limited in the example embodiment.

[0109] Further, after determining the abnormality level of the abnormal logistics information, the abnormal logistics information can be pushed according to the abnormality level.

[0110] In the optional embodiment, Figure 5 A flowchart of a method for pushing abnormal logistics information is shown in FIG. 10, which includes the following steps: Figure 5 As shown in FIG. 10, the method includes the following steps: in step S510, abnormal link information and abnormal department information in the abnormal logistics information are obtained.

[0111] The abnormal link information indicates link information where the abnormal logistics information appears, and the abnormal department information indicates information of a processing department or a network point corresponding to the abnormal logistics information.

[0112] In step S520, the abnormal logistics information is pushed according to the abnormal link information, the abnormal department information, and the abnormal level information.

[0113] After obtaining the abnormal link information and the abnormal department information, the abnormal logistics information can be pushed to the abnormal department represented by the abnormal department information according to the abnormal level information and the abnormal link information.

[0114] For example, when the abnormal level information is level one and the abnormal link information is a delivery link, the abnormal logistics information can be pushed to the corresponding delivery network point.

[0115] In this example embodiment, the abnormal logistics information can be pushed to the abnormal department corresponding to the abnormal department information through the abnormal link information and the abnormal level information, the pushing manner is accurate, and the abnormal department can quickly master the abnormal situation, thereby improving the processing efficiency of the abnormal logistics information.

[0116] In addition, when the abnormal logistics information is displayed to the abnormal department or the headquarters, the abnormal logistics information with a more serious situation can be highlighted.

[0117] In an optional embodiment, Figure 6 A flowchart of a method for generating logistics cumulative information is shown, as shown in Figure 6 The method at least includes the following steps: in step S610, continuously monitoring the abnormal logistics information to determine a continuous duration of the abnormal logistics information, and obtaining a duration threshold corresponding to the continuous duration.

[0118] It is worth noting that when the abnormal logistics information is continuously monitored, the continuous duration of the abnormal logistics information can be determined in units of days.

[0119] Further, the duration threshold corresponding to the continuous duration can be set to 5 days, or can be set to 10 days, or can be set according to actual conditions, and the example embodiment does not specially limit this.

[0120] In step S620, if the continuous duration is greater than the duration threshold, logistics cumulative information corresponding to the abnormal logistics information is generated.

[0121] When the duration is compared with the duration threshold and it is determined that the duration is greater than the duration threshold, it indicates that the abnormal situation of the abnormal logistics information has lasted for too long. Therefore, logistics cumulative information corresponding to the abnormal logistics information can be generated. Generally, the logistics cumulative information can be text information or icon information such as a bomb, and the present exemplary embodiment does not make special limitations on this.

[0122] Further, the position of the logistics cumulative information display can be determined according to the abnormal department information in the abnormal logistics information, so as to display the severity of the abnormal situation at the corresponding position.

[0123] In the present exemplary embodiment, the logistics cumulative information can be generated through continuous monitoring of the abnormal logistics information, so as to more intuitively display the abnormal logistics information with a serious abnormal situation, urge the abnormal department to effectively handle it, and avoid the situation of operation burst due to cargo backlog.

[0124] Therefore, on the one hand, the event integration processing of the abnormal logistics information can uniformly process the abnormal logistics information of the same abnormal type, avoid the waste of human cost and processing cost caused by repeated processing, and according to the abnormal level, the abnormal logistics information is pushed to realize the accurate feedback of the abnormal situation and accelerate the processing speed of the processing personnel on the abnormal logistics information. On the other hand, the logistics information is uniformly monitored, avoiding self-monitoring of each operation unit from each logistics link, maintaining the unified understanding and grasp of the abnormal logistics information, improving the processing efficiency of the processing personnel, timely intervening and remedying the abnormal logistics information, and improving the user's satisfaction. Further, the logistics information processing method is suitable for all business scenarios of logistics and has high expansibility.

[0125] The logistics information processing method in the present embodiment will be described in detail in combination with an application scenario.

[0126] At present, each logistics group and the region and war zone of the logistics group have abnormal monitoring, and each business line also has monitoring indicators. However, most of the abnormal monitoring is post-management, which cannot achieve timely intervention and solution.

[0127] Therefore, when the logistics has time delay, non-standard operation, abnormal reporting, customer complaint abnormality and other abnormal situations, it is impossible to achieve unified control, the manager lacks quantitative data, and it is impossible to real-time dispatch the front-line organization to intervene and solve the abnormality, and solve the problem before the customer complaint. At the same time, the multi-department abnormal control presents a fragmented management mode, and it is difficult to achieve the aggregation effect.

[0128] Figure 7 The system schematic diagram of the logistics information processing in the application scenario is shown in FIG. 1. Figure 7As shown, the system includes a business operation layer, a model strategy layer, and a basic data layer. In addition, it can also include a business layer, which is an operation layer for headquarters operation personnel, regional operation personnel, and front-line personnel. Moreover, the model strategy layer, the operation layer, and the business layer together form an intelligent monitoring system.

[0129] In the basic data layer, combined with logistics big data, all abnormal logistics information in the initial logistics information can be identified; in the model strategy layer, the main solutions are abnormal reason annotation processing, event integration processing, abnormal level query, and pushing each operation unit for processing according to the configuration rules; in the operation layer, each operation unit can clearly see all abnormal logistics information of its unit link, and can accurately annotate the abnormal information. While clearly seeing the abnormality for each department, the processing efficiency of the abnormality can be effectively accelerated, and the customer satisfaction can be improved.

[0130] Specifically, to determine the abnormal logistics information in the initial logistics information, the routing plan time in the initial logistics information can be obtained. The logistics plan time sets the planned time for logistics to reach each running node in the process from order placement to delivery closure.

[0131] Therefore, the logistics operation time actually generated by the corresponding running node can be found through the routing plan time.

[0132] When the logistics operation time is not found through the routing plan time, it can be determined that the logistics has not produced effective effect at the corresponding running node in the process from order placement to delivery closure, and therefore the initial logistics information is abnormal logistics information.

[0133] The abnormal logistics information in the initial logistics information can be found through the routing plan time, the finding method is simple and accurate, and it perfectly fits the logistics running process, which can effectively determine the abnormal logistics information.

[0134] The abnormal logistics information can include link, type, network point, shift, time, line, and batch information.

[0135] After determining the abnormal logistics information, the abnormal logistics information can be pushed to the intelligent monitoring system.

[0136] However, when the next running node of the abnormal logistics information appears in the subsequent time, it indicates that the abnormal situation of the abnormal logistics information is over, and the delivery closure information can be sent to the intelligent monitoring system to eliminate the abnormal logistics information.

[0137] The model strategy layer is the core module layer of data processing and processing.

[0138] After determining the abnormal logistics information, the abnormal logistics information can be annotated for the reason.

[0139] An abnormal scene identifier is obtained, and identification reason information corresponding to the abnormal scene identifier is obtained.

[0140] The abnormal scene identifier can be identification information of a plurality of abnormal scenes set in advance according to normal abnormal experience. The abnormal scene identifier can uniquely represent an abnormal scene, and the abnormal scene includes information such as a link, a type, a network point, a time, and a line in the logistics information.

[0141] After setting the abnormal scene identifiers of the plurality of abnormal scenes, identification reason information corresponding to the abnormal scene identifier can also be labeled. The identification reason information can represent the abnormal reason under the abnormal scene represented by the abnormal scene identifier.

[0142] According to the abnormal logistics information, a target scene identifier is determined in the abnormal scene identifier, and according to the corresponding relationship, the identification reason information corresponding to the target scene identifier is determined as the abnormal reason information.

[0143] Since the abnormal scene identifier includes information such as a link, a type, a network point, a time, and a line in the logistics information, the corresponding information in the abnormal scene identifier can be matched according to the information such as a link, a type, a network point, a time, and a line in the abnormal logistics information, so as to determine the corresponding abnormal scene identifier as the target scene identifier according to the information such as a link, a type, a network point, a time, and a line in the abnormal logistics information.

[0144] In addition, since the target scene identifier has identification reason information corresponding thereto, through the corresponding relationship between the target scene identifier and the identification reason information, the identification reason information corresponding to the target scene identifier can be determined, and the identification reason information is determined as the abnormal reason information corresponding to the abnormal logistics information.

[0145] Through the abnormal scene identifier and the identification reason information, the corresponding abnormal reason information can be labeled for the abnormal logistics information, which realizes the effect of automatic and unified labeling of abnormal reason information, saves the labor cost and labeling cost, and increases the overall intelligent level of the logistics information processing mode to a certain extent.

[0146] Further, the abnormal logistics information can also be subjected to event integration processing.

[0147] Specifically, when the abnormal logistics information is subjected to event integration processing, the information such as a line, a shift, a network point, a type, and a batch in the abnormal logistics information can be obtained. In addition, the abnormal logistics information with the same line, shift, network point, type, and batch is integrated into an abnormal event, and the abnormal event is given an abnormal event number with uniqueness, so as to manage and process the abnormal event as a whole through the abnormal event number, and reduce repeated operations on the same abnormal event.

[0148] After generating the abnormal event number and the abnormal reason information, the abnormal level of the abnormal logistics information can be queried.

[0149] The abnormal single quantity of the abnormal logistics information included in the abnormal event number is obtained, and the delay duration is determined according to the routing plan time of the abnormal logistics information included in the abnormal event number.

[0150] Since one abnormal event number represents the same abnormal event, the abnormal single quantity of the abnormal logistics information of the abnormal event existing under the abnormal event number can be counted, that is, the abnormal single quantity.

[0151] Further, since the abnormal logistics information under the abnormal event number includes the routing plan event, the delay duration of the abnormal logistics information from the current time can be determined through the calculation of the logistics plan event and the current time.

[0152] The abnormal level of the abnormal logistics information is obtained according to the abnormal single quantity, the delay duration, and the abnormal reason information.

[0153] After obtaining the abnormal single quantity and the delay duration, the abnormal level of the abnormal logistics information can be determined according to the abnormal single quantity, the delay duration, and the abnormal reason information.

[0154] For example, when the abnormal single quantity is greater than 10,000 pieces, the delay duration is 12 hours, and the abnormal reason is late delivery, the abnormal level of the abnormal logistics information is determined to be level 2; when the abnormal single quantity is greater than 10,000 pieces, the delay duration is 24 hours, and the abnormal reason is late delivery, the abnormal level of the abnormal logistics information is determined to be level 3; when the abnormal single quantity is greater than 10,000 pieces, the delay duration is 48 hours, and the abnormal reason is late delivery, the abnormal level of the abnormal logistics information is determined to be level 4.

[0155] Among them, the higher the abnormal level, the more serious the abnormal situation. In addition, other forms of abnormal level query can also be performed according to actual conditions, and the present exemplary embodiment does not specially limit this.

[0156] The abnormal level of the abnormal logistics information can be determined according to the multiple information of the abnormal logistics information, which provides reference information for subsequent abnormal logistics information pushing, so as to more accurately instruct each department to process the abnormal logistics information according to the urgency.

[0157] Since the most important thing for logistics is the safety type of abnormal logistics information, after determining the abnormal level of the abnormal logistics information, the abnormal level of this type of abnormal logistics information can also be updated.

[0158] If the abnormal reason information is logistics safety information, the abnormal level is upgraded to obtain an updated abnormal level.

[0159] The logistics safety information includes package damage and package loss information. Therefore, after the abnormal reason information specifies the abnormal level, the abnormal reason information can be identified as package damage and package loss.

[0160] If it is determined that the abnormal reason information is package damage and package loss, the abnormal level is upgraded to level two as the updated abnormal level. In addition, other levels can be upgraded according to actual conditions and needs, which are not specially limited in the example embodiment.

[0161] Further, after the abnormal level of the abnormal logistics information is determined, the abnormal logistics information can be pushed according to the abnormal level.

[0162] The abnormal link information and abnormal department information in the abnormal logistics information are obtained.

[0163] The abnormal link information indicates the link information of the abnormal logistics information, and the abnormal department information indicates the information of the processing department or the network point corresponding to the abnormal logistics information.

[0164] The abnormal logistics information is pushed according to the abnormal link information, the abnormal department information and the abnormal level information.

[0165] After the abnormal link information and the abnormal department information are obtained, the abnormal logistics information can be pushed to the abnormal department represented by the abnormal department information according to the abnormal level information and the abnormal link information.

[0166] For example, when the abnormal level information is level one and the abnormal link information is the delivery link, the abnormal logistics information can be pushed to the corresponding delivery network point.

[0167] The abnormal logistics information can be pushed to the abnormal department corresponding to the abnormal department information through the abnormal link information and the abnormal level information, the pushing method is accurate, and the abnormal department can quickly master the abnormal situation, which improves the processing efficiency of the abnormal logistics information.

[0168] The operation layer includes an abnormal panoramic monitoring large screen and an abnormal annotation processing module.

[0169] On the abnormal panoramic monitoring large screen, the abnormal level of the abnormal logistics information can be displayed according to the abnormal situation, the abnormal link, the abnormal agency and the abnormal reason. At the same time, the outstanding points of operation can be marked and labeled according to the abnormal backlog of continuous days on the map.

[0170] The burst point is the overall failure delay caused by the backlog and other abnormalities for many days. And, can be generated by the logistics cumulative information.

[0171] The abnormal logistics information is continuously monitored to determine the duration of the abnormal logistics information, and a duration threshold corresponding to the duration is obtained.

[0172] It is worth noting that when continuously monitoring the abnormal logistics information, the duration of the abnormal logistics information can be determined in units of days.

[0173] Further, the duration threshold corresponding to the duration can be set to 5 days, or can be set to 10 days, or can be set according to actual conditions, and the present exemplary embodiment does not make special limitations on this.

[0174] If the duration is greater than the duration threshold, generate logistics cumulative information corresponding to the abnormal logistics information.

[0175] When comparing the duration with the duration threshold and determining that the duration is greater than the duration threshold, it indicates that the abnormal situation of the abnormal logistics information has lasted for too long. Therefore, the logistics cumulative information corresponding to the abnormal logistics information can be generated. Generally, the logistics cumulative information can be text information, or icon information such as a bomb, and the present exemplary embodiment does not make special limitations on this.

[0176] Further, according to the abnormal department information in the abnormal logistics information, the position of the logistics cumulative information display can be determined to display the severity of the abnormal situation at the corresponding position.

[0177] The abnormal comment processing module is that the operation personnel can comment on the abnormal logistics information in the abnormal intelligent monitoring platform, for example, the comment content is missing or damaged, to link the quality control system to directly generate an abnormal report form. In addition, it can also include other comment information as a reference for subsequent analysis.

[0178] Figure 8 The flowchart of the logistics information processing method in the application scenario is shown, as shown in Figure 8 As shown in step S810, the time limit type abnormality is monitored.

[0179] In order to determine the abnormal logistics information in the initial logistics information, the routing plan time in the initial logistics information can be obtained.

[0180] The logistics plan timeline sets the planned arrival times for each operational node in the logistics process from order placement to successful delivery. Initial logistics information can include data from all monitored operational nodes throughout the entire logistics process from order placement to successful delivery. However, abnormal logistics information may appear within the initial logistics information, which can be identified through anomaly detection processing.

[0181] To identify abnormal logistics information in the initial logistics data, the routing plan time can be obtained from the initial logistics data. This logistics plan time sets the planned time for logistics to reach each operational node during the closed-loop process from order placement to successful delivery. Therefore, the actual logistics operation time of the corresponding operational node can be found by using the routing plan time.

[0182] If the logistics operation time cannot be identified through the routing plan time, it can be determined that the corresponding operation node in the logistics process from order placement to successful delivery has not played an effective role, and therefore the initial logistics information is abnormal logistics information.

[0183] It is worth noting that the monitoring methods for operational anomalies are the same as those for time-sensitive anomalies.

[0184] By using the routing plan time, abnormal logistics information in the initial logistics information can be found. The search method is simple and accurate, and it perfectly matches the logistics operation process, which can effectively identify abnormal logistics information.

[0185] In step S820, orders are automatically merged.

[0186] After identifying abnormal logistics information, the cause of the abnormal logistics information can be marked.

[0187] Obtain the abnormal scenario identifier and the corresponding identifier reason information.

[0188] An abnormal scenario identifier can be a set of identifiers for various abnormal scenarios that are pre-defined based on past experience with abnormalities. This abnormal scenario identifier can uniquely represent an abnormal scenario, and the abnormal scenario includes information such as the link, type, network point, time, and route in the logistics information.

[0189] After defining anomalous scenario identifiers for various abnormal scenarios, corresponding cause information can be added to each identifier. This cause information describes the cause of the anomaly within the specific anomaly scenario represented by that identifier.

[0190] Based on the abnormal logistics information, the target scenario identifier is determined in the abnormal scenario identifier, and the identifier reason information corresponding to the target scenario identifier is determined as the abnormal reason information according to the corresponding relationship.

[0191] Since the abnormal scene identification includes information such as links, types, network points, times and routes in the logistics information, the corresponding information in the abnormal scene identification can be matched according to the information such as links, types, network points, times and routes in the abnormal logistics information, so as to determine the corresponding abnormal scene identification as the target scene identification according to the information such as links, types, network points, times and routes in the abnormal logistics information.

[0192] Moreover, since the target scene identification has identification reason information with a corresponding relationship, the identification reason information corresponding to the target scene identification can be determined through the corresponding relationship between the target scene identification and the identification reason information, and the identification reason information is determined as the abnormal reason information corresponding to the abnormal logistics information.

[0193] The abnormal scene identification and the identification reason information can mark the corresponding abnormal reason information for the abnormal logistics information, realize the effect of automatic and unified marking of abnormal reason information, save the labor cost and marking cost, and increase the overall intelligent level of the logistics information processing mode to a certain extent.

[0194] Further, the abnormal logistics information can also be processed by event integration.

[0195] Specifically, when the abnormal logistics information is processed by event integration, the information such as routes, shifts, network points, types and batches in the abnormal logistics information can be obtained. Moreover, the abnormal logistics information with the same routes, shifts, network points, types and batches is integrated into an abnormal event, and the abnormal event is given an abnormal event number with uniqueness, so as to manage and process the abnormal event as a whole through the abnormal event number, and reduce repeated operations on the same abnormal event.

[0196] In step S830, the abnormality is graded.

[0197] The abnormal event number, the abnormal reason information and the abnormal logistics information are queried for the abnormal level of the abnormal logistics information, and the abnormal logistics information is pushed according to the abnormal level.

[0198] After the abnormal event number and the abnormal reason information are generated, the abnormal logistics information can be queried for the abnormal level.

[0199] The number of abnormal logistics information included in the abnormal event number is obtained, and the delay duration is determined according to the route planning time of the abnormal logistics information included in the abnormal event number.

[0200] Since one abnormal event number represents the same abnormal event, the number of abnormal logistics information of the abnormal event under the abnormal event number, that is, the number of abnormal logistics information, can be counted.

[0201] Further, since the abnormal logistics information under the abnormal event number includes the routing plan event, the delay time of the abnormal logistics information from the current time can be determined through the calculation of the logistics plan event and the current time.

[0202] The abnormal level of the abnormal logistics information is determined according to the abnormal order quantity, the delay time and the abnormal reason information.

[0203] After obtaining the abnormal order quantity and the delay time, the abnormal level of the abnormal logistics information can be determined according to the abnormal order quantity, the delay time and the abnormal reason information.

[0204] For example, when the abnormal order quantity is greater than 10,000 pieces, the delay time is 12 hours, and the abnormal reason is late delivery, the abnormal level of the abnormal logistics information is determined to be level 2; when the abnormal order quantity is greater than 10,000 pieces, the delay time is 24 hours, and the abnormal reason is late delivery, the abnormal level of the abnormal logistics information is determined to be level 3; when the abnormal order quantity is greater than 10,000 pieces, the delay time is 48 hours, and the abnormal reason is late delivery, the abnormal level of the abnormal logistics information is determined to be level 4.

[0205] The abnormal level can include four levels: level 1, level 2, level 3 and level 4, and the higher the abnormal level, the more serious the abnormal situation. In addition, other forms of abnormal level query can also be performed according to actual conditions, which are not specially limited in this example embodiment.

[0206] The abnormal level of the abnormal logistics information can be determined according to the multiple information of the abnormal logistics information, which provides reference information for subsequent abnormal logistics information pushing, so as to more accurately instruct each department to handle the abnormal logistics information according to the urgency.

[0207] In step S840, the abnormal order is generated. After determining the abnormal level of the abnormal logistics information, the abnormal order can be generated, and the abnormal logistics information can be pushed according to the abnormal level.

[0208] After obtaining the abnormal link information and the abnormal department information, the abnormal logistics information can be pushed to the abnormal department represented by the abnormal department information according to the abnormal level information and the abnormal link information.

[0209] When the abnormal level is level 1, the abnormal logistics information can be directly pushed to the institutional abnormal handling personnel, so that the institutional abnormal handling personnel can check and handle it.

[0210] When the abnormal level is level 2, level 3 or level 4, the abnormal logistics information is pushed to the institutional abnormal handling personnel, and whether there is new valid information node of the abnormal logistics information is continuously monitored.

[0211] The abnormal logistics information can be pushed to the abnormal department corresponding to the abnormal department information through the abnormal link information and the abnormal level information, the pushing mode is accurate, and the abnormal department can quickly master the abnormal situation, and the processing efficiency of the abnormal logistics information is improved.

[0212] When the abnormal logistics information has a new effective information node, the corresponding node content is automatically annotated by the system according to the annotation strategy; when the abnormal logistics information does not have a new effective information node, whether the abnormal logistics information has a loss situation is checked and annotated by a person.

[0213] When the person checks that the abnormal logistics information has a loss situation, it is further determined whether there is a damage situation.

[0214] If there is still a damage situation, it indicates that the logistics has a safety abnormality, and the abnormal level can be updated.

[0215] If the abnormal reason information is logistics safety information, the abnormal level is upgraded to obtain an updated abnormal level.

[0216] The logistics safety information includes two parts of package damage and package loss. Therefore, after the abnormal reason information specifies the abnormal level, the abnormal reason information can be identified and processed as package damage and package loss.

[0217] If it is determined that the abnormal reason information is package damage and package loss, the abnormal level is upgraded to level two as an updated abnormal level. In addition, other level upgrades can be performed according to actual conditions and requirements, which are not specially limited in this example embodiment.

[0218] In step S850, whether the quality control has reported the single.

[0219] When it is determined that the abnormal logistics information is logistics safety information, whether the quality control personnel has reported the abnormal logistics information can be determined.

[0220] In step S860, the quality control reporting entry.

[0221] If the determination result is that the quality control personnel has not reported the abnormal logistics information, the entry of the reporting system of the quality control personnel is linked to make the quality control personnel report.

[0222] When the determination result is that the quality control personnel has reported the abnormal logistics information, it indicates that the processing process of the abnormal logistics information is completed.

[0223] In step S870, the upgrade upper process.

[0224] Since the division or classification of the abnormality level is achieved by the delay time, when the delay time of the abnormal logistics information is increased from 12 hours to 24 hours, the abnormality level of the abnormal logistics information can be upgraded until the abnormality level of the abnormal logistics information is upgraded to the highest level.

[0225] When the abnormality level of the abnormal logistics information is upgraded, the attention of the processing personnel can be more highlighted, and the minimum responsibility unit is urged to process as soon as possible from the processing personnel management mode of each level.

[0226] In addition, when the abnormal logistics information is displayed to the abnormal department or the headquarters, the abnormal logistics information with more serious situation can be highlighted.

[0227] The abnormal logistics information is continuously monitored to determine the continuous time of the abnormal logistics information, and a time threshold corresponding to the continuous time is obtained.

[0228] It is worth noting that when the abnormal logistics information is continuously monitored, the continuous time of the abnormal logistics information can be determined in units of days.

[0229] Further, the time threshold corresponding to the continuous time can be set to 5 days, or can be set to 10 days, or can be set according to actual conditions, and the present exemplary embodiment does not specially limit this.

[0230] If the continuous time is greater than the time threshold, the logistics cumulative information corresponding to the abnormal logistics information is generated.

[0231] When the continuous time is compared with the time threshold, and it is determined that the continuous time is greater than the time threshold, it indicates that the abnormal situation of the abnormal logistics information has lasted for too long. Therefore, the logistics cumulative information corresponding to the abnormal logistics information can be generated. Generally, the logistics cumulative information can be text information, or icon information such as a bomb, and the present exemplary embodiment does not specially limit this.

[0232] Further, according to the abnormal department information in the abnormal logistics information, the position of the logistics cumulative information display can be determined to display the severity of the abnormal situation at the corresponding position.

[0233] Through the continuous monitoring of the abnormal logistics information, the logistics cumulative information can be generated to more intuitively display the abnormal logistics information with a serious abnormal situation, urge the abnormal department to effectively process, and avoid the operation burst situation caused by the accumulation of goods.

[0234] In the application scenario of the present disclosure, on the one hand, the event integration processing of the abnormal logistics information can uniformly process the abnormal logistics information of the same abnormal type, avoiding the waste of human cost and processing cost caused by repeated processing; and the abnormal logistics information is pushed according to the abnormal level, realizing the accurate feedback of the abnormal situation and accelerating the processing speed of the processing personnel on the abnormal logistics information. On the other hand, the logistics information is uniformly monitored, avoiding the self-monitoring of each operation unit from each logistics link, maintaining the unified understanding and grasp of the abnormal logistics information, improving the processing efficiency of the processing personnel, timely intervening and remedying the abnormal logistics information, and improving the user's satisfaction. Further, the logistics information processing method is applicable to all business scenarios of logistics and has high expansibility.

[0235] In addition, in the exemplary embodiments of the present disclosure, a logistics information processing device is also provided. Figure 9 The structure diagram of the logistics information processing device is shown as Figure 9 As shown, the logistics information processing device 900 can include an abnormality identification module 910, an event integration module 920, and an abnormality pushing module 930. Among them:

[0236] The abnormality identification module 910 is configured to obtain initial logistics information and perform abnormality identification processing on the initial logistics information to obtain abnormal logistics information;

[0237] The event integration module 920 is configured to perform reason annotation processing on the abnormal logistics information to obtain abnormal reason information, and perform event integration processing on the abnormal logistics information to obtain an abnormal event number of the abnormal logistics information;

[0238] The abnormality pushing module 930 is configured to query the abnormal event number, the abnormal reason information, and the abnormal logistics information to obtain an abnormal level of the abnormal logistics information, and push the abnormal logistics information according to the abnormal level.

[0239] In an exemplary embodiment of the present disclosure, the abnormality identification processing on the initial logistics information to obtain the abnormal logistics information includes:

[0240] Obtaining the routing plan time in the initial logistics information, and determining the logistics operation time according to the routing plan time;

[0241] If the logistics operation time is not determined according to the routing plan time, the initial logistics information is determined as abnormal logistics information.

[0242] In an exemplary embodiment of the present disclosure, the query of the abnormal event number, the abnormal reason information, and the abnormal logistics information to obtain the abnormal level of the abnormal logistics information includes:

[0243] acquire the abnormal single quantity of the abnormal logistics information included in the abnormal event number, and determine the delay duration according to the route planning time of the abnormal logistics information included in the abnormal event number;

[0244] query the abnormal level of the abnormal logistics information according to the abnormal single quantity, the delay duration and the abnormal reason information.

[0245] In an exemplary embodiment of the present application, after querying the abnormal level of the abnormal event number, the abnormal reason information and the abnormal logistics information to obtain the abnormal level of the abnormal logistics information, the logistics information processing method further comprises:

[0246] If the abnormal reason information is logistics security information, the abnormal level is upgraded to obtain an updated abnormal level.

[0247] In an exemplary embodiment of the present application, the abnormal reason information is obtained by performing reason annotation processing on the abnormal logistics information, comprising:

[0248] acquire the abnormal scene identifier, and acquire the identifier reason information corresponding to the abnormal scene identifier;

[0249] determine the target scene identifier in the abnormal scene identifier according to the abnormal logistics information, and determine the identifier reason information corresponding to the target scene identifier as the abnormal reason information according to the corresponding relationship.

[0250] In an exemplary embodiment of the present application, the abnormal logistics information is pushed according to the abnormal level, comprising:

[0251] acquire the abnormal link information and the abnormal department information in the abnormal logistics information;

[0252] push the abnormal logistics information according to the abnormal link information, the abnormal department information and the abnormal level information.

[0253] In an exemplary embodiment of the present application, the logistics information processing method further comprises:

[0254] continuously monitor the abnormal logistics information to determine the continuous duration of the abnormal logistics information, and acquire the duration threshold corresponding to the continuous duration;

[0255] If the continuous duration is greater than the duration threshold, generate the logistics cumulative information corresponding to the abnormal logistics information.

[0256] The specific details of the above logistics information processing device 900 have been described in detail in the corresponding logistics information processing method, and therefore will not be described here.

[0257] It should be noted that although several modules or units of the logistics information processing apparatus 900 are mentioned in the above detailed description, such division is not mandatory. In fact, features and functions of two or more modules or units described above can be embodied in one module or unit according to embodiments of the present disclosure. Conversely, features and functions of one module or unit described above can be further divided into embodied by multiple modules or units.

[0258] Furthermore, in exemplary embodiments of the present disclosure, an electronic device capable of implementing the above-described method is also provided.

[0259] The electronic device 1000 according to such embodiments of the present disclosure will be described below with reference to Figure 10 Figure 10 The displayed electronic device 1000 is merely an example and should not bring any limitation to the functions and usage range of embodiments of the present disclosure.

[0260] As shown in Figure 10 The electronic device 1000 is in the form of a general computing device. Components of the electronic device 1000 can include, but are not limited to, the at least one processing unit 1010 described above, the at least one storage unit 1020 described above, a bus 1030 connecting different system components including the storage unit 1020 and the processing unit 1010, and a display unit 1040.

[0261] The storage unit stores program codes which can be executed by the processing unit 1010, so that the processing unit 1010 performs steps according to various exemplary embodiments of the present disclosure described in the above "Exemplary Method" section of the present specification.

[0262] The storage unit 1020 can include a readable medium in the form of a volatile storage unit, such as a random access memory (RAM) 1021 and / or a cache memory 1022, and can further include a read-only memory (ROM) 1023.

[0263] The storage unit 1020 can further include program / utility 1024 having a set of the program modules 1025, including but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which can include implementation of a network environment or some combination thereof.

[0264] The bus 1030 can represent one or more of several types of bus structures, including a storage unit bus or storage unit controller, a peripheral bus, a graphics acceleration port, a processing unit, or a local bus using any of a variety of bus structures.

[0265] ​The electronic device 1000 can also communicate with one or more external devices 1200 such as a keyboard, a pointing device, a Bluetooth device, etc.; and can communicate with one or more devices that enable a user to interact with the electronic device 1000 and / or one or more devices (e.g. routers, modems, etc.) that enable the electronic device 1000 to communicate with one or more other computing devices. Such communication can occur via Input / Output (I / O) interface 1050. Still yet, the electronic device 1000 can communicate with one or more networks such as a local area network (LAN), a wide area network (WAN), and / or the Internet through network adapter 1060. As depicted, network adapter 1060 communicates with the other components of the electronic device 1000 via bus 1030. It should be appreciated that although not shown, other hardware and / or software modules could be used in connection with the electronic device 1000. Such modules include, but are not limited to, microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data archival storage systems, etc.

[0266] From the above description of the embodiments, it is easy for those skilled in the art to understand that the example embodiments described herein can be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solutions according to the embodiments of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash disk, a mobile hard disk, etc.) or a network, and includes a number of instructions to enable a computing device (which can be a personal computer, a server, a terminal device, or a network device, etc.) to perform the methods according to the embodiments of the present disclosure.

[0267] In the example embodiments of the present disclosure, a computer readable storage medium is also provided, on which a program product capable of implementing the above-mentioned method of the present disclosure is stored. In some possible embodiments, various aspects of the present disclosure can also be implemented in the form of a program product, which includes program codes for causing a terminal device to perform the steps described in the above-mentioned "example method" section according to various example embodiments of the present disclosure when the program product is run on the terminal device.

[0268] Reference Figure 11 As shown, a program product 1100 for implementing the above-mentioned method according to the embodiments of the present disclosure is described, which can adopt a portable compact disc read-only memory (CD-ROM) and include program codes, and can be run on a terminal device such as a personal computer. However, the program product of the present disclosure is not limited to this, and in this document, the readable storage medium can be any tangible medium containing or storing a program, which can be used or combined with an instruction execution system, device or apparatus.

[0269] The program product can employ any combination of one or more computer readable media or storage media. A computer readable medium or storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable medium or storage medium include the following: an electrical connection having one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0270] A computer readable signal medium can include a propagated data signal with computer readable program code embodied therein. The propagated data signal can take any of a variety of forms, including but not limited to electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium can be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport program code for use by or in connection with an instruction execution system, apparatus, or device.

[0271] Program code embodied on a computer readable medium can be transmitted using any appropriate medium, including but not limited to wireless, wired, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0272] Program code for carrying out operations of the present application can be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++, or the like, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code can execute entirely on the user's computing device, partly on the user's computing device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device or entirely on the remote computing device or server. In the latter scenario, the remote computing device can be connected to the user's computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computing device, such as through the Internet using an Internet Service Provider. In some embodiments, electronic circuitry including, for example, programmable logic circuitry, application specific circuitry, or field programmable gate array (FPGA) circuitry can execute the program code. Generally, program code can be implemented in hardware or software, including both application software programs and firmware that can be stored in

[0273] Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the features disclosed herein. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

Claims

1. A logistics information processing method characterized by comprising: The method comprises: obtaining initial logistics information and performing abnormal identification processing on the initial logistics information to obtain abnormal logistics information; performing cause labeling processing on the abnormal logistics information to obtain abnormal cause information, and performing event integration processing on the abnormal logistics information to obtain an abnormal event number of the abnormal logistics information; the time integration processing on the abnormal logistics information to obtain an abnormal number of the abnormal logistics information comprises: obtaining key features in the abnormal logistics information, the key features comprising: route, shift, network point, abnormal type and batch information; the abnormal logistics information with the same key features is classified into the same abnormal event; a unique abnormal event number is assigned to the abnormal event; performing abnormal level query on the abnormal event number, the abnormal cause information and the abnormal logistics information to obtain the abnormal level of the abnormal logistics information, and pushing the abnormal logistics information according to the abnormal level.

2. The logistics information processing method according to claim 1, characterized by, the abnormal identification processing on the initial logistics information to obtain abnormal logistics information comprises: obtaining the route planning time in the initial logistics information, and determining the logistics operation time according to the route planning time; if the logistics operation time is not determined according to the route planning time, the initial logistics information is determined as abnormal logistics information.

3. The logistics information processing method according to claim 2, characterized by, the abnormal level query on the abnormal event number, the abnormal cause information and the abnormal logistics information to obtain the abnormal level of the abnormal logistics information comprises: obtaining the number of abnormal logistics information included in the abnormal event number, and determining the delay duration according to the route planning time of the abnormal logistics information included in the abnormal event number; querying the abnormal level in the pre-prepared abnormal identification strategy according to the number of abnormal single quantity, the delay duration and the abnormal cause information to obtain the abnormal level of the abnormal logistics information.

4. The logistics information processing method according to claim 1, characterized by, after the abnormal level query on the abnormal event number, the abnormal cause information and the abnormal logistics information to obtain the abnormal level of the abnormal logistics information, the method further comprises: if the abnormal cause information is logistics safety information, performing level upgrading processing on the abnormal level to obtain an updated abnormal level.

5. The logistics information processing method according to claim 1, characterized by, the cause labeling processing on the abnormal logistics information to obtain abnormal cause information comprises: obtaining an abnormal scene identifier, and obtaining identifier cause information corresponding to the abnormal scene identifier; determining a target scene identifier in the abnormal scene identifier according to the abnormal logistics information, and determining the identifier cause information corresponding to the target scene identifier as the abnormal cause information according to the corresponding relationship.

6. The logistics information processing method according to claim 1, characterized by, the pushing of the abnormal logistics information according to the abnormal level comprises: obtaining abnormal link information and abnormal department information in the abnormal logistics information; pushing the abnormal logistics information according to the abnormal link information, the abnormal department information and the abnormal level.

7. The logistics information processing method according to claim 1, characterized by, the method further comprises: continuously monitoring the abnormal logistics information to determine the continuous duration of the abnormal logistics information, and obtaining a duration threshold corresponding to the continuous duration; If the duration is greater than the duration threshold, generate logistics cumulative information corresponding to the abnormal logistics information.

8. A logistics information processing apparatus characterized by comprising: Comprise: An abnormality identification module configured to obtain initial logistics information and perform abnormality identification processing on the initial logistics information to obtain abnormal logistics information; An event integration module configured to perform cause annotation processing on the abnormal logistics information to obtain abnormal cause information, and perform event integration processing on the abnormal logistics information to obtain an abnormal event number of the abnormal logistics information; An event integration module configured to obtain key features in the abnormal logistics information, the key features comprising: line, shift, network point, abnormal type, and batch information; Classify the abnormal logistics information with the same key features into the same abnormal event; Assign a unique abnormal event number to the abnormal event; An abnormality pushing module configured to perform abnormality level query on the abnormal event number, the abnormal cause information, and the abnormal logistics information to obtain an abnormality level of the abnormal logistics information, and push the abnormal logistics information according to the abnormality level.

9. A computer readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by a processor to implement the logistics information processing method of any one of claims 1-7.

10. An electronic device, comprising: Comprise: A processor; A memory for storing executable instructions of the processor; Wherein the processor is configured to execute the executable instructions to perform the logistics information processing method of any one of claims 1-7.

Images