CN113077114A

CN113077114A - Method and device for monitoring operation of distributor, storage medium and electronic equipment

Info

Publication number: CN113077114A
Application number: CN202010006863.5A
Authority: CN
Inventors: 单雪峰; 李婷; 郑晓洛; 王勇; 张天琦; 李泽; 齐京位; 马炎华; 刘孟启; 柯仲震; 王晓蕾; 魏晓峰
Original assignee: Beijing Sankuai Online Technology Co Ltd
Current assignee: Beijing Sankuai Online Technology Co Ltd
Priority date: 2020-01-03
Filing date: 2020-01-03
Publication date: 2021-07-06

Abstract

The present disclosure relates to a method, an apparatus, a storage medium, and an electronic device for monitoring operations of a dispenser, the method comprising: acquiring distribution behavior information of a distributor in the current waybill link process under the condition that the distributor triggers a state reporting operation for the current waybill link, wherein the distribution behavior information is generated at least based on state detection data of distribution equipment used by the distributor; and determining whether the state reporting operation is abnormal or not according to the distribution behavior information. Therefore, the delivery behavior information depends on the state detection data of the delivery equipment used by the delivery personnel, so that the identification error caused by the abnormal operation identification by means of the track data in the prior art can be avoided, and the accuracy is improved. In addition, after the state reporting operation aiming at the current waybill link is triggered by a distributor, the on-line abnormity identification can be automatically carried out on the state reporting operation, the real-time performance is good, the speed is high, and the use requirement of the instant distribution service can be met.

Description

Method and device for monitoring operation of distributor, storage medium and electronic equipment

Technical Field

The present disclosure relates to the field of distribution, and in particular, to a method and an apparatus for monitoring operation of a distributor, a storage medium, and an electronic device.

Background

The take-out delivery performing process involves multiple links such as taking orders, arriving at a store, getting meals, delivering and the like, and the compliance of the operation of each link of a delivery person can obviously influence the user experience, so that the operation behavior of the delivery person needs to be controlled.

In the related art, dispenser violation identification is performed based on trajectory data (i.e., GPS positioning data). For example, when the dispenser performs operations such as "to store" and "to reach", it is determined whether or not the operation is in compliance by calculating the distance from the dispenser position to the merchant/user to determine whether or not the operation position is within a preset range. However, the recognition accuracy is not ideal due to the limitation of the GPS positioning accuracy and the GPS sampling frequency. For example, if the delivery person clicks "delivery" in advance to avoid order timeout, the operation position is determined to be within the preset range by mistake due to positioning deviation, and the delivery person does not reach the user location, and the operation that should not be compliant is determined to be compliant by mistake.

Disclosure of Invention

The purpose of the present disclosure is to provide a monitoring method, apparatus, storage medium, and electronic device for accurately monitoring the operation of a dispenser.

In order to achieve the above object, according to a first aspect of the present disclosure, there is provided a method for monitoring various operator operations, including:

acquiring distribution behavior information of a distributor in the current waybill link process under the condition that the distributor triggers a state reporting operation for the current waybill link, wherein the distribution behavior information is generated at least based on state detection data of distribution equipment used by the distributor;

and determining whether the state reporting operation is abnormal or not according to the distribution behavior information.

Optionally, the delivery behavior information is generated based on the status detection data and trajectory data of the deliverer.

Optionally, the delivery behavior information includes: the system comprises a data center, a data center and a data center, wherein the data center is used for receiving the arrival behavior information of the distributor, and the data center is used for receiving the departure behavior information of the distributor.

Optionally, the distribution apparatus comprises one or more of the following: mobile phones, helmets, distribution cars; the state detection data comprises one or more of the following: WiFi connection data, bluetooth signal intensity, atmospheric pressure, tool to lock state data, wheel utensil state data.

Optionally, the state reporting operation indicates that the current waybill link is completed;

determining whether the state reporting operation is abnormal according to the distribution behavior information includes:

and if the fact that the distributor does not actually reach the target position corresponding to the current waybill link is determined according to the distribution behavior information, determining that the state reporting operation is abnormal.

determining a first moment when the distributor actually reaches a target position corresponding to the current waybill link according to the distribution behavior information;

and if the time difference between the moment when the distributor triggers the state reporting operation and the first moment is greater than a first preset time length, determining that the state reporting operation is abnormal.

Optionally, the state reporting operation indicates that the article preparation speed is abnormal;

determining a second moment when the deliverer actually reaches the position of the article provider according to the delivery behavior information;

and determining whether the state reporting operation is abnormal or not according to the second moment and the moment when the distributor triggers the state reporting operation.

Optionally, the determining whether the status reporting operation is abnormal according to the second time and the time when the distributor triggers the status reporting operation includes:

if the time difference between the moment when the distributor triggers the store operation and the second moment is less than or equal to a second preset time length, the time length when the moment when the distributor triggers the state reporting operation exceeds the second moment is longer than a third preset time length, the time length when the moment when the distributor triggers the state reporting operation exceeds the expected preparation time of the articles is longer than a fourth preset time length, and the time length when the moment exceeds the third moment is longer than a fifth preset time length, determining that the state reporting operation is normal; and if not, determining that the state reporting operation is abnormal, wherein the third moment is a corresponding moment when the current distribution time length of the current waybill reaches a preset percentage of the whole distribution time length of the current waybill.

Optionally, the method further comprises:

and under the condition that the state reporting operation is determined to be normal, prolonging the checking time of the current waybill of the distributor, and/or configuring a non-responsibility cancellation function aiming at the current waybill to the distributor.

Optionally, the method further comprises:

and under the condition that the state reporting operation is determined to be abnormal, outputting operation abnormity prompt information and/or refusing to execute the state reporting operation.

Optionally, the method further comprises:

and after the current waybill is finished, carrying out illegal behavior identification according to the distribution behavior information of the distributor in the whole period of the waybill.

According to a second aspect of the present disclosure, there is provided a dispenser-operated monitoring device comprising:

an obtaining module, configured to obtain, when a distributor triggers a state reporting operation for a current waybill link, distribution behavior information of the distributor in a process of performing the current waybill link, where the distribution behavior information is generated based on at least state detection data of distribution equipment used by the distributor;

and the determining module is used for determining whether the state reporting operation is abnormal or not according to the distribution behavior information.

the determining module comprises:

and the first determining submodule is used for determining that the state reporting operation is abnormal under the condition that the distributor is determined not to actually reach the target position corresponding to the current waybill link according to the distribution behavior information.

the determining module comprises:

the second determining submodule is used for determining a first moment when the distributor actually reaches a target position corresponding to the current waybill link according to the distribution behavior information;

and the third determining submodule is used for determining that the state reporting operation is abnormal under the condition that the time difference between the moment when the distributor triggers the state reporting operation and the first moment is greater than a first preset time length.

the determining module comprises:

a fourth determining submodule, configured to determine, according to the distribution behavior information, a second time at which the distributor actually reaches the location of the item provider;

and a fifth determining submodule, configured to determine whether the status reporting operation is abnormal according to the second time and the time when the distributor triggers the status reporting operation.

Optionally, the fifth determining submodule is configured to:

Optionally, the apparatus further comprises:

the first processing module is configured to, when it is determined that the status reporting operation is normal, extend an assessment time of the current waybill of the distributor, and/or configure a responsibility-free cancellation function for the current waybill to the distributor.

Optionally, the apparatus further comprises:

and the second processing module is used for outputting operation abnormity prompt information and/or refusing to execute the state reporting operation under the condition of determining that the state reporting operation is abnormal.

Optionally, the apparatus further comprises:

and the identification module is used for identifying the violation behavior according to the distribution behavior information of the distributor in the whole period of the waybill after the current waybill is finished.

According to a third aspect of the present disclosure, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of any of the methods of the first aspect.

According to a fourth aspect of the present disclosure, there is provided an electronic device comprising:

a memory having a computer program stored thereon;

a processor for executing the computer program in the memory to implement the steps of the method of any of the first aspects.

In the above technical solution, after the distributor triggers the status reporting operation for the current waybill link, whether the status reporting operation is abnormal or not may be determined according to the distribution behavior information of the distributor in the process of performing the current waybill link. The distribution behavior information mainly depends on the state detection data of the distribution equipment used by the distributor, so that whether the state reporting operation aiming at the current waybill link is abnormal or not is identified according to the distribution behavior information, the identification error caused by the fact that the abnormal operation identification is carried out by means of the track data in the prior art can be effectively avoided, and the identification accuracy of the abnormal operation is improved. In addition, through the scheme, after the state reporting operation aiming at the current waybill link is triggered by the distributor, the on-line abnormity identification can be automatically carried out on the state reporting operation, the real-time performance is good, the speed is high, and the use requirement of the instant distribution service can be met.

Additional features and advantages of the disclosure will be set forth in the detailed description which follows.

Drawings

The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure without limiting the disclosure. In the drawings:

FIG. 1 is a flow chart illustrating a method of monitoring operator operations according to one embodiment of the present disclosure;

fig. 2 is a flowchart illustrating determining whether the status reporting operation is abnormal according to the distribution behavior information according to an embodiment of the present disclosure;

FIG. 3 is a block diagram illustrating a dispenser operated monitoring device according to one embodiment of the present disclosure;

FIG. 4 is a block diagram illustrating an electronic device in accordance with an exemplary embodiment;

FIG. 5 is a block diagram illustrating an electronic device in accordance with an example embodiment.

Detailed Description

The following detailed description of specific embodiments of the present disclosure is provided in connection with the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present disclosure, are given by way of illustration and explanation only, not limitation.

FIG. 1 is a flow chart illustrating a method of monitoring operator operations according to one embodiment of the present disclosure. The method can be applied to terminals such as mobile phones used by distributors, wearable devices such as smart bracelets, helmets and the like, or servers. As shown in fig. 1, the method may include S101 to S102.

In S101, when a distributor triggers a state reporting operation for a current waybill link, distribution behavior information of the distributor in the process of performing the current waybill link is acquired.

In the actual distribution business, one waybill may include a plurality of waybill links. Taking a take-out scenario as an example, a waybill may include links of going to a store, fetching, and delivering. And the distributor completes each waybill link in sequence according to the sequence of each waybill link, so that the whole waybill is completed. The distributor can trigger a state reporting operation for the current waybill link through the terminal, wherein the state reporting operation can indicate what state information of the current waybill link the distributor intends to report. For example, the status reporting operation may indicate that the current waybill link is completed. And under the condition that a distributor triggers the state reporting operation aiming at the current waybill link, acquiring the distribution behavior information of the distributor in the process of carrying out the current waybill link.

In one embodiment of the present disclosure, the delivery behavior information may be generated based on status detection data of the delivery devices used by the deliverers. In another embodiment, the delivery behavior information may be generated based on the status detection data and trajectory data of the deliverer. The status detection data of the distribution equipment can represent the current status of the distribution equipment, and the status includes, but is not limited to: network environment state, bluetooth signal environment state, barometric pressure state, etc. Through the state detection data, the current state of the distribution equipment used by the distributor can be obtained, and the real behavior of the distributor can be further deduced.

In S102, it is determined whether the status reporting operation is abnormal according to the distribution behavior information.

In an embodiment of the present disclosure, the delivery behavior information acquired in S101 may include arrival behavior information for representing that the deliverer actually arrives at a target location of the current waybill link.

As described above, a waybill may include steps of going to a store, fetching, and delivering to the waybill. For each waybill link, after the deliverer completes the waybill link, the deliverer can trigger a state reporting operation for indicating that the waybill link is completed. And carrying out abnormity judgment on the state reporting operation, wherein the abnormity judgment is mainly carried out according to whether a distributor actually reaches the target position of the current waybill link or not. For example, when the delivery person triggers the operation of going to the store, and intends to report that the delivery person has arrived at the store, the delivery person needs to see whether the delivery person actually arrives at the location of the item provider (e.g., store). When the delivery operator triggers the delivery operation and intends to report that the delivery operator has delivered the item to the user, the operator needs to see whether the operator actually arrives at the location of the item harvester (e.g., the user). There is also a status reporting operation, that is, the rate of reporting the completion of the article by the distributor is abnormal, for example, the rate of reporting the completion of the article by the distributor is slow. The abnormality judgment of the status reporting operation also depends on the time information of the actual arrival of the distributor at the position of the article provider. Therefore, in the disclosure, based on the state detection data of the delivery equipment, or based on the state detection data of the delivery equipment and the trajectory data of the deliverer, arrival behavior information for reflecting that the deliverer actually arrives at the target position of the current waybill link is generated, so that the delivery behavior information of the deliverer can be monitored in multiple directions, and the accuracy and comprehensiveness of the delivery behavior information can be further improved. The arrival behavior information may include, for example: indication information indicating whether the target position of the current waybill link is actually reached, time information indicating that the target position of the current waybill link is actually reached, and the like.

The delivery behavior information may be generated based on status detection data of delivery devices used by the deliverers. In the present disclosure, the distribution device may include one or more of the following devices: cell-phone, helmet, delivery car. Accordingly, the state detection data may include one or more of the following: WiFi connection data, bluetooth signal intensity, atmospheric pressure, tool to lock state data, wheel utensil state data. Exemplarily, WiFi connection data and bluetooth signal strength are obtained by a mobile phone; detecting air pressure through a helmet; lock state data are obtained through a lock switch of a distribution vehicle; the wheel state data is obtained by a rotation angle sensor mounted on the distribution wheel.

The system where the monitoring device is located can acquire the state detection data of the distribution device used by the distributor in real time, generate the distribution behavior information of the distributor based on the state detection data or based on the state detection data and the trajectory data of the distributor, and store the distribution behavior information. Then, when the deliverer triggers the state reporting operation for the current waybill link, the monitoring device can acquire the delivery behavior information of the deliverer from the system, and accordingly, the state reporting operation is subjected to abnormity judgment.

For arrival behavior information, in one embodiment, it may be determined whether the dispenser has actually reached the target location based on WiFi connection data or bluetooth signal strength. For example, if the target position of the current waybill link is the position of the item provider, it may be determined whether the mobile phone accesses a WiFi access point provided by the item provider or a WiFi access point near the item provider according to WiFi connection data of the mobile phone of the distributor, and if so, it may be determined that the distributor actually reaches the target position. Alternatively, whether the deliverer is located near the article provider may be determined according to a bluetooth signal strength change of the mobile phone of the deliverer relative to a terminal of the article provider or a bluetooth device near the article provider (for example, the bluetooth signal strength gradually increases to be greater than a threshold), and if so, it may be determined that the deliverer actually reaches the target location. Similarly, if the target position of the current waybill link is the position of the goods consignee, whether the mobile phone accesses a WiFi access point near the goods consignee can be determined according to WiFi connection data of the mobile phone of the deliverer, and if so, it can be determined that the deliverer actually reaches the target position. Or, it may be determined whether the deliverer is located near the item receiver according to a bluetooth signal intensity change of the mobile phone of the deliverer with respect to the terminal of the item receiver or a bluetooth device near the item receiver, and if so, it may be determined that the deliverer actually reaches the target location.

In another embodiment, the operator may determine whether the operator actually reaches the target location based on one or more of air pressure, lock status data, and wheel status data, in combination with trajectory data of the operator. For example, if the target position of the current waybill link is the position of the article provider, it may be determined whether the current track point of the distributor is located near the target position, and if so, it may be further determined whether the distributor actually reaches the target position in combination with the state of the distribution vehicle. For example, if the wheel status data indicates that the wheel is rotating or the lock status data indicates that the dispenser is not performing a lock-down action, it may be further determined that the dispenser is actually still in the riding state, and thus that the dispenser has not actually reached the target position. Alternatively, upon determining that the dispenser's current trajectory point is located near the target location, the air pressure data may be further combined to determine whether the dispenser has actually reached the target location. For example, the altitude of the dispenser can be determined according to the air pressure data detected by the helmet, and the floor where the dispenser is located can be further determined. If the floor is consistent with or close to the floor information of the target position (the floor difference is smaller than a first preset threshold value or the altitude difference is smaller than a second preset threshold value), it can be determined that the dispatcher actually reaches the target position.

When it is determined that the deliverer actually reaches the target position in the above manner, time information of the deliverer actually reaching the target position may also be determined, for example, a WiFi access point provided by an article provider is accessed by a mobile phone, or time of a WiFi access point near the article provider is used as the time information of the deliverer actually reaching the target position, and the process of determining the time information of the arrival behavior in other manners is similar and is not described herein again.

In addition, the delivery behavior information may further include departure behavior information for embodying that the deliverer actually departs from the target location. Similarly, it can be determined whether the dispenser actually leaves the target position in a similar manner as described above. For example, if the target position of the current waybill link is the position of the item provider, it may be determined whether the mobile phone disconnects from a WiFi access point provided by the item provider or a WiFi access point near the item provider according to WiFi connection data of the mobile phone of the distributor, and if so, it may be determined that the distributor actually leaves the target position. Alternatively, whether the distributor leaves from the article provider may be determined according to the bluetooth signal strength change of the mobile phone of the distributor relative to the terminal of the article provider or the bluetooth device near the article provider (for example, the bluetooth signal strength gradually decreases to zero), and if so, it may be determined that the distributor actually leaves the target location. Similarly, if the target position of the current waybill link is the position of the goods consignee, whether the mobile phone is disconnected from the WiFi access point near the goods consignee can be determined according to the WiFi connection data of the mobile phone of the deliverer, and if so, the deliverer can be determined to actually leave the target position. Alternatively, whether the delivery person leaves from the item receiver may be determined according to a change in the bluetooth signal strength of the mobile phone of the delivery person with respect to the terminal of the item receiver or the bluetooth device near the item receiver, and if so, it may be determined that the delivery person actually leaves the target location.

For example, in another embodiment, the delivery behavior information is obtained when the deliverer starts a status reporting operation for the current waybill link, so that when the deliverer triggers an off-store reporting operation, the away behavior information of the deliverer may be determined according to the status detection data. For example, if the target position of the current waybill link is the position of the article provider, it may be determined whether the current track point of the distributor is located near the target position, and if so, it may be further determined whether the distributor leaves the target position in combination with the state of the distribution vehicle. For example, if the wheel status data indicates that the wheel is rotating or the lock status data indicates that the dispenser is not performing a lock-down action, it may be further determined that the dispenser is actually in the riding state and thus the dispenser is away from the target position. Alternatively, upon determining that the dispenser's current trajectory point is near the target location, further air pressure data may be incorporated to determine whether the dispenser has left the target location. For example, the altitude of the dispenser can be determined according to the air pressure data detected by the helmet, and the floor where the dispenser is located can be further determined. If the floor is inconsistent with or far from the floor information of the target position (the floor difference is greater than a first preset threshold value or the altitude difference is greater than a second preset threshold value), it can be determined that the dispenser actually leaves the target position. Since the arrival behavior of the distributor is necessarily obtained when the distribution behavior information is obtained, the departure behavior information of the distributor can be accurately determined in the above manner.

When it is determined that the distributor leaves the target location in the above manner, time information of the distributor leaving the target location may also be determined, for example, a time when a mobile phone disconnects a WiFi access point provided by an article provider, or a time when a WiFi access point near the article provider is used as the time information of the distributor leaving the target location.

Alternatively, for example, the takeaway delivery may generally include a store-to, article-taking and delivery-to link, so the status reporting operation for the store-to link may include a store-to reporting operation and a store-away reporting operation, the status reporting operation for the article-taking link may include a pickup completion reporting operation and an article preparation speed exception reporting operation, and the status reporting operation for the delivery link may include an arrival user location reporting operation and an order completion reporting operation. For any state reporting operation, whether the state reporting operation is abnormal or not can be determined according to distribution behavior information generated by state detection data of any distribution equipment.

For example, in an embodiment, if a distributor only installs a corresponding APP on its mobile phone, the distributor may collect state detection data only according to the mobile phone of the distributor, and obtain the state detection data through the APP installed on the mobile phone, where the state detection data may be WiFi connection data and/or bluetooth signal strength, so as to determine arrival behavior information and departure behavior information according to the above manner, and determine whether a state reporting operation is abnormal.

In another embodiment, a distribution vehicle equipped by a distributor may collect status detection data, and in this embodiment, the status detection data may be collected according to a lock or a wheel on the distribution vehicle, and the status detection data may be obtained by the distribution vehicle to obtain distribution behavior information, so as to determine whether the status reporting operation is abnormal.

In another embodiment, the distributor installs the corresponding APP on the mobile phone of the distributor, and the distribution vehicle equipped with the distributor can also collect the state detection data, so that the distributor can respectively collect the state detection data through the mobile phone and the distribution vehicle and acquire the distribution behavior information. In the technical scheme, when the state detection data is collected by the plurality of distribution devices, the distribution behavior information can be respectively determined according to each state detection data, and exemplarily, when any one of the state detection data determines the indication information indicating that the current waybill link is actually reached, the target position of the distributor actually reaching the current waybill link can be determined, so that the user behavior is determined. For example, when the indication information generated by the state detection data of the mobile phone indicates that the distributor does not reach the target position of the current waybill link, but the indication information generated by the state detection data of the distribution vehicle indicates that the distributor actually reaches the target position of the current waybill link, it may be considered that the distributor actually reaches the target position of the current waybill link, that is, the distributor currently arrives at the store. By the scheme, the accuracy of the acquired delivery behavior information of the deliverer in the process of carrying out the current waybill link can be ensured, and data support is provided for improving the monitoring accuracy of the operation of the deliverer.

Optionally, the state reporting operation indicates that the current waybill link is completed. For example, in an outsourcing scenario, the dispatcher may trigger the status reporting operation through its terminal. Illustratively, the deliverer may trigger a status reporting operation via the terminal indicating that the store-to-store link is complete.

An exemplary embodiment of the S102 determining whether the status reporting operation is abnormal according to the distribution behavior information is as follows, where the step may include:

As described above, a waybill may include steps of going to a store, fetching, and delivering to the waybill. For example, in an out-of-store link, the target location corresponding to the out-of-store link may be the location of an item provider (e.g., store owner); in the fetching link, the target position corresponding to the fetching link may also be a position of an article provider, and in the delivery link, the target position corresponding to the delivery link may be a position of an article harvester (such as a user), so that a relationship between the current position of the deliverer and the position corresponding to the current waybill link can be determined according to the delivery behavior information of the deliverer, and whether the state reporting operation is abnormal or not can be determined.

In an embodiment, the delivery person triggers the report operation to the store through the terminal, and at this time, it may be determined whether the delivery person actually reaches the location of the store corresponding to the to-store link of the waybill at this time according to delivery behavior information, for example, arrival behavior information, where the arrival behavior information determined according to the delivery behavior information indicates that the delivery person has not yet reached the location of the store, and if it is determined according to WiFi connection data of a mobile phone of the delivery person that the mobile phone has not accessed a WiFi access point provided by the store, it may be determined that the delivery person has not actually reached the location of the store. That is, the delivery person triggers the status reporting operation of the end-of-store link, but the delivery person does not actually reach the location of the store at this time, and therefore, the loading reporting operation of the end-of-store link triggered by the delivery person is abnormal in this case. It should be noted that, in this embodiment, determining the arrival behavior information of the user through the WiFi connection data is only an exemplary illustration, and the disclosure is not limited thereto.

In another embodiment, if it is determined that the mobile phone accesses the WiFi access point provided by the store according to the WiFi connection data of the mobile phone of the distributor, it may be determined that the distributor has actually arrived at the location of the store, and it may be determined that the status reporting operation of the distributor is normal.

Through the technical scheme, the state reporting operation triggered by the delivery person can be accurately judged abnormally through the delivery behavior information, so that the operation of the delivery person can be accurately monitored, the operation of the delivery person can be standardized, the abnormal condition in the delivery process of the waybill can be found in real time, and the whole delivery process of the waybill can be monitored in an all-around mode.

For example, in some scenarios, the deliverer may be allowed to perform status reporting in advance, but in this case, it is required to ensure that the deliverer does perform status reporting operation at a position near the target position, so as to avoid the status reporting operation triggered by the deliverer on the way of the waybill in order to avoid timeout of the waybill. Accordingly, the present disclosure also provides the following embodiments.

Optionally, the state reporting operation indicates that the current waybill link is completed.

Another exemplary embodiment of determining whether the status reporting operation is abnormal according to the distribution behavior information in S102 is as follows, where the step may include:

and determining a first moment when the distributor actually reaches a target position corresponding to the current waybill link according to the distribution behavior information. In this embodiment, the delivery behavior information may include the arrival behavior information described above, and the arrival behavior information may include time information of actually arriving at the target location of the current waybill link. Therefore, the time indicated by the time information may be acquired from the delivery information as the first time.

In an embodiment, if the time at which the distributor triggers the status reporting operation is earlier than the first time by a time length longer than a first preset time length, it indicates that the distributor actually reaches the target position corresponding to the current waybill link in the waybill after a long period of time after the time at which the distributor triggers the status reporting operation, that is, the distributor may trigger the status reporting operation in the transportation process, and at this time, it may be determined that the status reporting operation is abnormal. Further, the state reporting operation of the delivery staff can be determined to be an illegal operation, so that the monitoring precision of the delivery staff in the waybill delivery process is improved.

In another embodiment, if the time that the deliverer triggers the status reporting operation is later than the first time is longer than a first preset time, it indicates that the deliverer actually reaches the target position corresponding to the current waybill link in the waybill for a long time, and then the deliverer triggers the status reporting operation, that is, the deliverer may forget to perform the status reporting operation after reaching the target position. But in this case, it may not be operated as a violation.

It should be noted that, in different waybill links, the first preset duration may be the same or different, and may be set according to an actual usage scenario, which is not limited in this disclosure.

By the technical scheme, the state reporting operation of the deliverers can be accurately judged to be abnormal under the condition that the deliverers are allowed to report the states in advance. Therefore, the method can realize diversified monitoring of the operation of the dispenser, can ensure the monitoring accuracy, and provides accurate data support for the examination of the dispenser.

For example, in one embodiment, since one waybill may include multiple waybill links, and each waybill link may be completed by cooperation of multiple parties, for example, in an outsourcing situation, a deliverer may take a meal after the store finishes the meal in the process of the deliverer arriving at the store to take the meal. Therefore, in this scenario, if the store item is too slow to be prepared, the waiting time of the deliverer is too long, and the delivery time of the waybill is over. But in this scenario the waybill timeout is not caused by the dispatcher himself. In the prior art, corresponding punishment is performed on a distributor in the scene, the distributor can cancel the punishment only by reporting the operation of complaint after the waybill is finished, and if the treatment is not timely, the assessment of the distributor is influenced. Therefore, the present disclosure further provides the following embodiments, so that the distributor can report the state in real time in a state reporting operation manner, thereby avoiding error penalty in the scene, ensuring accuracy of service assessment of the distributor, and improving accuracy and comprehensiveness of the monitoring method for the operation of the distributor.

Optionally, the status reporting operation indicates that the article preparation speed is abnormal, that is, after the deliverer arrives at the position of the article provider, if a waiting time used in a process of waiting for article preparation by the article provider by the deliverer is too long, the status reporting operation indicating that the article preparation speed is abnormal may be triggered by the terminal. The status reporting operation may be triggered, for example, when an item is ready by an item provider.

Another exemplary embodiment of determining whether the status reporting operation is abnormal according to the distribution behavior information in S102 is as follows, as shown in fig. 2, the step may include:

in S1021, the second time when the dispenser actually reaches the position of the article provider is specified based on the delivery behavior information. Accordingly, time information indicating that the dispenser actually reaches the position of the article provider can be acquired from the delivery behavior information, and the time indicated by the time information can be used as the second time. The specific determination method is described above, and details are not described herein again, where the time information of the actual arrival of the distributor at the position of the article provider is obtained, that is, the time information of the actual arrival of the distributor at the target position is determined when the position of the article provider is taken as the target position.

In S1022, it is determined whether the status reporting operation is abnormal according to the second time and the time when the distributor triggers the status reporting operation.

In this embodiment, by combining the time when the delivery person arrives at the position of the article provider and the time when the delivery person triggers the status reporting operation, the abnormality determination is performed on the status reporting operation, so that the accuracy of online abnormality identification can be ensured.

Optionally, in S1022, an exemplary embodiment of determining whether the status reporting operation is abnormal according to the second time and the time when the distributor triggers the status reporting operation is as follows, where the step may include:

The store-to operation may be a status reporting operation triggered in the store-to link and indicating that the store-to waybill link is completed. In this embodiment, the time difference between the time when the dispenser triggers the store operation and the second time is less than or equal to the second preset time period, that is, the time when the dispenser triggers the store operation and the time when the dispenser actually reaches the location of the article provider are closer to each other, in which case the dispenser-to-store operation may be considered normal. The time that the distributor triggers the state reporting operation indicating the article completion speed abnormity exceeds the second time is longer than a third preset time, that is, the time that the distributor triggers the state reporting operation indicating the article completion speed abnormity is later than the time that the distributor actually reaches the position of the article provider, that is, the waiting time that the distributor waits for article completion after arriving at the store is too long.

After the waybill is generated, the system where the waybill is located may predict the predicted time required by each link of the waybill and the entire distribution duration of the waybill, where the predicted time and the distribution duration are determined to be the prior art, and are not described herein again. Thus, the expected preparation time of the corresponding item can be invoiced. The time when the distributor triggers the state reporting operation indicating the article completion speed abnormity exceeds the expected completion time of the articles is longer than the fourth preset time, namely the time when the distributor reports the article completion speed abnormity is later than the preset completion time, namely the time when the article provider completes the articles is later.

Optionally, in the technical solution provided by the present disclosure, when determining the delivery behavior information, time information that the deliverer leaves the location of the item provider may be determined, and the time information that the deliverer arrives at the location of the item provider may be sent to the module for determining the estimated time and the delivery duration, so that the estimated time and the delivery duration may be determined more accurately, and accuracy and reasonableness of monitoring the delivery process of the waybill by the deliverer may be facilitated.

For example, the preset percentage may be determined according to a ratio of a distance between a location of the item provider and an initial location of the dispenser, and a distance between a location of the item provider and a location of the item receiver. The larger the ratio, the smaller the preset percentage. Illustratively, the preset percentage is 70%. The total delivery duration of the current waybill is 40 minutes, and the third time is the corresponding time when the delivery duration of the current waybill reaches 28(40 x 70%) minutes. If the time of the order taking of the corresponding distributor of the waybill is 12 o 'clock, the third time is 12 o' clock and 28 min. If the time when the distributor triggers the state reporting operation exceeds 12 o' clock and 28 minutes is longer than the fifth preset time, the influence of the delay of the article preparation on the distribution overtime of the whole freight note is large.

Therefore, when the above condition is satisfied, it may indicate that the deliverer normally arrives at the article provider, but the waiting time for waiting for the article to be prepared is long, the time for preparing the article by the article provider is much later than the expected preparation time, and the influence of the delay of preparing the article on the delivery timeout of the entire waybill is large, and at this time, it may be determined that the status reporting operation of the article preparation speed abnormality triggered by the deliverer is normal.

Therefore, in the technical scheme, the abnormal article preparation speed is comprehensively judged by judging the compliance of the store-arriving operation of the deliverer, the article preparation waiting time of the deliverer and the overtime of the article preparation time, so that whether the article preparation speed is abnormal or not can be determined in real time, the overtime of the waybill caused by the abnormal article preparation speed can be determined in real time, the subsequent check of the deliverer is facilitated, and the operation of the deliverer and the waybill conveying process are monitored.

Optionally, after the distributor triggers a status reporting operation indicating that the article preparation speed is abnormal, the method further includes:

In this embodiment, when the article preparation speed is determined to be abnormal, it means that the delivery time of the waybill is overtime in the delivery process of the waybill and is not caused by the deliverer. In this case, in order to perform reasonable service assessment and operation monitoring on the deliverers, in an embodiment, the assessment time of the current waybill of the deliverer may be extended, for example, the extended time duration may be determined according to the time duration that the time at which the deliverer triggers the status reporting operation exceeds the expected preparation time of the goods. For example, the time when the distributor triggers the status reporting operation exceeds the time when the article is expected to be ready by 10 minutes, the extended time may be 10 minutes or 10 × a minutes, where the range of a may be set according to the actual usage scenario. For example, to perform a compensation operation on the dispenser, a may be set to 1.2, the initial check time is 12: 40 minutes, the extended time period is 12 minutes, and the extended check time may be 12: 52 minutes.

In another embodiment, the dispatchers may be configured with a disclaimer cancellation function for the current manifest, i.e., the dispatchers may choose to cancel the dispatch of the manifest without penalizing the dispatchers.

Through the technical scheme, the method can perform on-line treatment without liability for the deliverers under the condition that the deliverers trigger the state reporting operation indicating the abnormal article preparation speed to be normal operation, thereby avoiding the error punishment to the deliverers, reducing the reporting complaint operation of the deliverers, effectively reducing the workload of manual examination and simultaneously ensuring the examination reasonability and accuracy of the deliverers.

Optionally, the method further comprises:

In an embodiment, when it is determined that the status reporting operation is abnormal, an operation abnormality prompting message may be output, so as to send the operation abnormality prompting message to the terminal triggering the status reporting operation, so that a distributor using the terminal may know a determination result of the status reporting operation in time, and thus, the status reporting operation may be standardized.

In another embodiment, when it is determined that the status reporting operation is abnormal, the execution of the status reporting operation may be denied, for example, the above-mentioned deliverer triggers the status reporting operation with an abnormal article preparation speed, when it is determined that the status reporting operation is abnormal, the execution of the status reporting operation may be denied, and when the delivery duration of the waybill exceeds a time limit, the corresponding penalty may be performed on the deliverer.

In another embodiment, the operation exception prompting message may be output, and the state reporting operation may be refused to be executed.

Therefore, by the technical scheme, under the condition that the state reporting operation is determined to be abnormal, the distributor can be informed or the corresponding operation is refused to be executed, so that the accuracy of the monitoring method for the operation of the distributor can be ensured, and the state reporting operation of the distributor can be standardized conveniently.

Optionally, the method further comprises:

In the above examples, all of the schemes are to perform responsibility judgment in real time under the condition that the distributor triggers the status reporting operation. However, in some cases, such as a scenario with a poor network state, the delivery behavior information of the deliverer in the current waybill link acquired in real time may not be received in time when determining whether the state reporting operation is abnormal due to slow transmission, so that the actually normal state reporting operation may be determined as abnormal.

For example, in one scenario, the monitoring method of the operation of the distributor is performed by the server, and the bluetooth signal intensity of the mobile phone is used as the state detection data. When the distributor arrives at the shop location, the distributor connects with the open Bluetooth signal of the shop and triggers the state reporting operation of the finished shop link. At this time, because the network state is poor, it may be impossible to temporarily send the detected bluetooth signal strength to the server, and therefore, when the server determines whether the state reporting operation is abnormal, since it does not receive the bluetooth signal strength, it is considered that the distributor has not actually reached the location of the store at this time, and it is determined that the state reporting operation is abnormal. In this case, the status reporting operation of the dispenser may be erroneously determined.

Therefore, in this embodiment, after the current waybill is completed, the violation identification is performed according to the delivery behavior information of the deliverer in the whole period of the waybill. For example, after the waybill is completed, the status detection data of the distributor in the whole period of the waybill may be acquired, so that the bluetooth information intensity of the status reporting operation that the distributor has triggered the completion of the store link may be acquired, and the distribution behavior of the distributor may be accurately identified according to the distribution behavior information of the distributor in the whole period of the waybill. For example, the delivery behavior information of the deliverer in the whole period of the waybill can also be sent to the back end of the server so as to be manually checked by the administrator. Therefore, by the technical scheme, the undetermined illegal operation in real-time monitoring can be found, and the misjudged abnormal operation can be modified in time, so that the reporting operation of a distributor is not needed when misjudgment occurs, the later-stage auditing workload of workers can be effectively reduced, and the user experience is improved.

The present disclosure also provides a dispenser operation monitoring device, as shown in fig. 3, the device 10 comprising:

an obtaining module 100, configured to obtain, when a distributor triggers a state reporting operation for a current waybill link, distribution behavior information of the distributor in a process of performing the current waybill link, where the distribution behavior information is generated based on at least state detection data of distribution equipment used by the distributor;

a determining module 200, configured to determine whether the status reporting operation is abnormal according to the distribution behavior information.

Optionally, the delivery behavior information is generated based on the status detection data and trajectory data of the deliverer. Therefore, the distribution behavior information of the distributor can be monitored in multiple directions, and the accuracy and comprehensiveness of the distribution behavior information can be further improved.

By obtaining the distribution behavior information, accurate arrival behavior information and departure behavior information corresponding to the distributor can be obtained, so that accurate data support is provided for monitoring the operation of the distributor based on the distribution behavior information subsequently, and the accuracy of the monitoring result of the operation of the distributor is improved.

By the scheme, the accuracy of the acquired delivery behavior information of the deliverer in the process of carrying out the current waybill link can be ensured, and data support is provided for improving the monitoring accuracy of the operation of the deliverer.

the determining module comprises:

Therefore, by combining the time when the deliverer arrives at the position of the article provider and the time when the deliverer triggers the state reporting operation, the state reporting operation is subjected to abnormality judgment, and the accuracy of online abnormality identification can be ensured.

Optionally, the fifth determining submodule is configured to:

In the technical scheme, the method and the system have the advantages that the method and the system can comprehensively judge the abnormal article preparation speed through the compliance judgment of the store-arriving operation of the deliverer, the article preparation waiting time of the deliverer and the overtime judgment of the article preparation time, so that the abnormal article preparation speed can be comprehensively judged, whether the article preparation speed is abnormal or not can be determined in real time, the overtime of the waybill caused by the abnormal article preparation speed can be determined in real time, the subsequent check on the deliverer is facilitated, and the operation of the deliverer and the waybill conveying process are monitored.

Optionally, the apparatus further comprises:

Therefore, by the technical scheme, the undetermined illegal operation in real-time monitoring can be found, and the misjudged abnormal operation can be modified in time, so that the reporting operation of a distributor is not needed when misjudgment occurs, the later-stage auditing workload of workers can be effectively reduced, and the user experience is improved.

With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.

Fig. 4 is a block diagram illustrating an electronic device 700 according to an example embodiment. As shown in fig. 4, the electronic device 700 may include: a processor 701 and a memory 702. The electronic device 700 may also include one or more of a multimedia component 703, an input/output (I/O) interface 704, and a communication component 705.

The processor 701 is configured to control the overall operation of the electronic device 700, so as to complete all or part of the steps in the monitoring method for the operation of the dispenser. The memory 702 is used to store various types of data to support operation at the electronic device 700, such as instructions for any application or method operating on the electronic device 700 and application-related data, such as contact data, transmitted and received messages, pictures, audio, video, and the like. The Memory 702 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk, or optical disk. The multimedia components 703 may include screen and audio components. Wherein the screen may be, for example, a touch screen and the audio component is used for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may further be stored in the memory 702 or transmitted through the communication component 705. The audio assembly also includes at least one speaker for outputting audio signals. The I/O interface 704 provides an interface between the processor 701 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 705 is used for wired or wireless communication between the electronic device 700 and other devices. Wireless Communication, such as Wi-Fi, bluetooth, Near Field Communication (NFC), 2G, 3G, 4G, NB-IOT, eMTC, or other 5G, etc., or a combination of one or more of them, which is not limited herein. The corresponding communication component 705 may thus include: Wi-Fi module, Bluetooth module, NFC module, etc.

In an exemplary embodiment, the electronic Device 700 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components, for performing the above-described monitoring method for the dispenser operation.

In another exemplary embodiment, a computer readable storage medium comprising program instructions which, when executed by a processor, implement the steps of the above-described method of monitoring for operator operations is also provided. For example, the computer readable storage medium may be the memory 702 comprising program instructions executable by the processor 701 of the electronic device 700 to perform the monitoring method for the operation of the dispenser described above.

Fig. 5 is a block diagram illustrating an electronic device 1900 according to an example embodiment. For example, the electronic device 1900 may be provided as a server. Referring to fig. 5, an electronic device 1900 includes a processor 1922, which may be one or more in number, and a memory 1932 for storing computer programs executable by the processor 1922. The computer program stored in memory 1932 may include one or more modules that each correspond to a set of instructions. Further, the processor 1922 may be configured to execute the computer program to perform the above-described monitoring method of the dispatcher's operation.

Additionally, electronic device 1900 may also include a power component 1926 and a communication component 1950, the power component 1926 may be configured to perform power management of the electronic device 1900, and the communication component 1950 may be configured to enable communication, e.g., wired or wireless communication, of the electronic device 1900. In addition, the electronic device 1900 may also include input/output (I/O) interfaces 1958. The electronic device 1900 may operate based on an operating system, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, etc., stored in memory 1932.

In another exemplary embodiment, a computer readable storage medium comprising program instructions which, when executed by a processor, implement the steps of the above-described method of monitoring for operator operations is also provided. For example, the computer readable storage medium may be the memory 1932 described above that includes program instructions executable by the processor 1922 of the electronic device 1900 to perform the method for monitoring the operation of a dispenser described above.

In another exemplary embodiment, a computer program product is also provided, which comprises a computer program executable by a programmable apparatus, the computer program having code portions for performing the above-described dispenser-operated monitoring method when executed by the programmable apparatus.

The preferred embodiments of the present disclosure are described in detail with reference to the accompanying drawings, however, the present disclosure is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solution of the present disclosure within the technical idea of the present disclosure, and these simple modifications all belong to the protection scope of the present disclosure.

It should be noted that the various features described in the above embodiments may be combined in any suitable manner without departing from the scope of the invention. In order to avoid unnecessary repetition, various possible combinations will not be separately described in this disclosure.

In addition, any combination of various embodiments of the present disclosure may be made, and the same should be considered as the disclosure of the present disclosure, as long as it does not depart from the spirit of the present disclosure.

Claims

1. A method of monitoring operator operations, comprising:

2. The method of claim 1, wherein the delivery behavior information is generated based on the status detection data and trajectory data of the deliverer.

3. The method of claim 1, wherein the delivery behavior information comprises: the system comprises a data center, a data center and a data center, wherein the data center is used for receiving the arrival behavior information of the distributor, and the data center is used for receiving the departure behavior information of the distributor.

4. The method of claim 1, wherein the distribution device comprises one or more of: mobile phones, helmets, distribution cars; the state detection data comprises one or more of the following: WiFi connection data, bluetooth signal intensity, atmospheric pressure, tool to lock state data, wheel utensil state data.

5. The method of claim 1, wherein the status reporting operation indicates that the current waybill link is complete;

6. The method of claim 1, wherein the status reporting operation indicates that the current waybill link is complete;

7. The method of claim 1, wherein the status reporting operation indicates an article preparation speed anomaly;

8. The method of claim 7, wherein the determining whether the status reporting operation is abnormal according to the second time and the time when the dispatcher triggers the status reporting operation comprises:

9. The method of claim 7, further comprising:

10. The method of claim 1, further comprising:

11. The method of claim 1, further comprising:

12. A dispenser operated monitoring device, comprising:

13. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 11.

14. An electronic device, comprising:

a memory having a computer program stored thereon;

a processor for executing the computer program in the memory to carry out the steps of the method of any one of claims 1 to 11.