CN115953094B - Prepackaged logistics distribution management method and intelligent logistics insulation can thereof - Google Patents
Prepackaged logistics distribution management method and intelligent logistics insulation can thereof Download PDFInfo
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Abstract
The invention discloses a prepackaged logistics distribution management method and an intelligent logistics insulation can thereof, wherein the cloud management method comprises the following steps: the online order initiates a distribution request, and a distributor in the distance L1 nearby the online order is screened out according to the geographic position information of the pick-up point corresponding to the online order and the working state information of the distributor, and the online order is defined as a three-level unit; sending an order allocation request to a terminal bound by a certain three-level unit; the terminal management method comprises the following steps: selecting a plurality of tertiary units to define as secondary units based on preset order allocation logic processing; initiating a distribution request to the terminal of each secondary unit and selecting one secondary unit to define as a distributor according to feedback; when the dispatcher confirms that the goods of the matched order are taken, the corresponding terminal is: and initiating a distribution route check request and a distribution point traffic license pre-storing request based on online booking one-way consumers, and acquiring feedback as distribution guide information to be used as display. The method and the device have the effect of guaranteeing the smoothness of the distribution flow.
Description
Technical Field
The application relates to the technical field of prepackaged food distribution, in particular to a prepackaged logistics distribution management method and an intelligent logistics insulation can thereof.
Background
Currently, fast-paced life is a main melody of various cities, especially a central city. For groups such as office workers, if the groups want to organize family dinner activities and the like, the on-line ordering and ordering of one type of pre-prepared dishes in pre-prepared foods is a good choice, so that the time for consumers to go to the vegetable market/to buy dishes in the supermarket and then prepare the dishes can be greatly reduced, the complicated transactions before dinner gathering are reduced, and the activity experience is improved.
For prepared dishes, besides the quality of the food material, the quality of the distribution service is also an important link affecting the shopping experience of consumers.
Since the purchase of the prefabricated dishes mainly requires home preparation for dinner, parties and the like, the amount of goods of each delivery list is usually large, the volume is large, the weight is also large, and the inconvenience is brought to the delivery personnel; the distribution personnel groups of each large platform in China are huge, the job threshold is low, and the uniform distribution service awareness is difficult, so that the problem that disputes occur between the distribution personnel and consumers exists at intervals, and the factor of the problem is that: when a distributor carries heavy goods for distribution, the distributor cannot timely get in touch with consumers, so that a district is blocked, distribution positions are different, and arrival and pickup time is large, and disputes are caused by dissatisfaction of the two parties.
Aiming at the related technology, the application provides a new technical scheme.
Disclosure of Invention
In order to ensure smoothness of a distribution flow and improve distribution service experience, the application provides a prepackaged logistics distribution management method and an intelligent logistics insulation can thereof.
In a first aspect, the present application provides a prepackaged logistics distribution management method, which adopts the following technical scheme:
comprising the following steps: the cloud management method comprises the following steps:
receiving or acquiring on-line order information and geographic position information and working state information of a dispatcher;
if a certain online order initiates a delivery request, screening out the delivery operators in the distance L1 nearby the online order according to the geographic position information of the pick-up point corresponding to the online order and the working state information of the delivery operators, and defining the online order as a three-level unit;
sending an order allocation request to a terminal bound by a certain three-level unit;
the terminal management method comprises the following steps:
receiving an order allocation request, and selecting a plurality of tertiary units to be defined as secondary units based on preset order allocation logic; wherein the order allocation logic comprises similarity screening logic implemented based on historical delivery records;
initiating a distribution request to the terminal of each secondary unit, and selecting one secondary unit to define as a distributor according to feedback;
when the dispatcher confirms that the goods of the matched order are taken, the corresponding terminal is:
acquiring geographic position information of a delivery point, a delivery point and a delivery person, and generating delivery tracking data based on the electronic map marks and the updated positions;
and initiating a distribution route check request and a distribution point traffic license pre-storing request based on online booking one-way consumers, and acquiring feedback as distribution guide information to be used as display.
Optionally, the similarity screening logic includes:
defining distribution points, goods taking points and navigation planning paths as characteristic factors;
traversing a historical distribution record of the three-level unit;
calculating the feature factor coincidence ratio of the current delivery request and the calendar strip delivery record, taking the delivery record with the value exceeding the first preset lower limit value as a component;
counting the components of each three-level unit to obtain corresponding similar total scores;
and taking three-level units with similar total scores exceeding a lower limit value of two, and defining the three-level units as two-level units.
Optionally, the calculating the feature factor overlap ratio of the current delivery request and the calendar strip delivery record includes:
calculating the similarity A between distribution points;
calculating the similarity B between the picking points;
calculating the similarity D=C/X1 between navigation planning paths, wherein X1 is a standard value, and C is the number of road overlapping times;
and respectively carrying out weight assignment on the similarity A, the similarity B and the similarity D, and carrying out statistics to obtain the feature factor coincidence degree.
Optionally, the order allocation logic includes equalization logic implemented based on the delivery record; the equalization logic, comprising:
traversing a historical distribution record of the three-level unit;
if a certain three-level unit is never distributed to the current distribution point, defining the three-level unit as a two-level unit;
counting the distribution quantity of each three-level unit on the same day, and defining the distribution quantity as a two-level unit if the distribution quantity is smaller than a preset lower limit value III.
Optionally, the terminal management method includes: periodically executing a preset abnormality verification process; the anomaly verification process comprises the following steps:
extracting a value from the designated array set based on a preset random algorithm in the t1 time of any abnormal verification period, and taking the value as the period t2 of the abnormal verification;
and after the period t2, retrieving an order allocation record stored in the terminal, and sending the order allocation record to the appointed cloud for data anomaly detection.
Optionally, the terminal management method further includes:
acquiring real-time positioning information of a terminal; the positioning information comprises longitude, latitude and height;
calculating a remaining distribution distance based on the positioning information and the distribution point;
if the remaining distribution distance is smaller than the preset distance lower limit value IV, executing a preset floor evaluation flow, evaluating the floor where the floor is located, and initiating a arrival reminding to a consumer;
if the difference value between the floor where the current evaluation is located and the floor of the delivery point is smaller than the distance lower limit value five, a delivery completion check request is initiated to the consumer, and the delivery flow is ended according to feedback.
Optionally, the floor evaluation procedure includes:
acquiring height information when the residual distribution distance is four times the distance lower limit value, and marking the height information as a first height;
and calculating the height difference between the current height and the first height, acquiring the design level of the building at the delivery point from the cloud, and evaluating the floor where the current position is located.
In a second aspect, the present application provides an intelligent logistics insulation can applied to the above prepackaged logistics distribution management method, which adopts the following technical scheme:
the intelligent logistics insulation can comprises a box body, wherein an intelligent interaction module is arranged on the box body, the intelligent interaction module comprises a control unit, a touch display, a communication unit and a power supply unit, the touch display and the communication unit are connected to the control unit, the power supply unit is used for supplying power to the control unit, the touch display and the communication unit, and the control unit is used for:
receiving an order allocation request, and selecting a plurality of tertiary units to be defined as secondary units based on preset order allocation logic; wherein the order allocation logic comprises similarity screening logic implemented based on historical delivery records;
sending a distribution request to the intelligent interaction module of each secondary unit, and selecting one secondary unit to define as a distributor according to feedback;
when a certain intelligent interaction module is matched with a dispatcher, the control unit:
acquiring geographic position information of a delivery point, a delivery point and a delivery person, and generating delivery tracking data based on the electronic map marks and the updated positions;
and initiating a distribution route check request and a distribution point traffic license pre-storing request based on online booking one-way consumers, and acquiring feedback as distribution guide information to be used as display.
Optionally, a GPS positioning module is further provided on the case, and the GPS positioning module is connected to the intelligent interaction module; the control unit:
acquiring real-time positioning information of a GPS positioning module;
calculating a remaining distribution distance based on the positioning information and the distribution point;
if the remaining distribution distance is smaller than the preset distance lower limit value IV, executing a preset floor evaluation flow, evaluating the floor where the floor is located, and initiating a arrival reminding to a consumer;
if the difference value between the floor where the current evaluation is located and the floor of the delivery point is smaller than the distance lower limit value five, a delivery completion check request is initiated to the consumer, and the delivery flow is ended according to feedback.
In summary, the present application includes at least one of the following beneficial technical effects: instead of relying on the cloud to do a large amount of order distribution work, tasks are distributed to all off-line terminals and distributed in a small area; the cloud server-based data processing method and device can effectively improve data processing pressure of the cloud server, speed up data processing, and reduce the problem of poor experience of the two delivery parties caused by data updating delay;
in the distribution process of the distributor, the consumer can guide the distributor to quickly and accurately go to the distribution point through the guide information on one hand; on the other hand, the method can prepare certificates and the like for entering and exiting the distribution point for the distributor in advance, reduce waiting time of the distributor, reduce possibility of disputes between the distributor and management personnel related to the distribution point, and further guarantee smoothness of the distribution process.
Drawings
FIG. 1 is a schematic diagram of the architecture of the present method;
fig. 2 is a schematic diagram of the intelligent control structure of the incubator of the present application.
Detailed Description
The present application is described in further detail below in conjunction with fig. 1-2.
The embodiment of the application discloses a prepackaged logistics distribution management method.
Referring to fig. 1, the prepackaged logistics distribution management method includes: cloud management method and terminal management method.
In this embodiment, the cloud refers to: the online shopping platform or the distribution service operation platform docked with the shopping platform can know that the online order should include the goods category, the goods taking point, the distribution point, the consumer and the connection mode thereof according to the prior art; the method is not independently implemented, but further optimized and improved by means of the currently known logistics distribution mechanism.
Regarding a cloud management method, it includes:
1) And receiving or acquiring the on-line order information and the geographic position information and the working state information of the distributor.
The geographic position information of the distributor is obtained through the mobile phone positioning data bound with the distributor; operating state information, namely: waiting for receipt, delivery, rest, etc., to determine if delivery service arrangements are appropriate.
2) If a certain online order initiates a delivery request, the delivery personnel within the distance L1 nearby the online order are screened out according to the geographic position information of the pick-up point corresponding to the online order and the working state information of the delivery personnel, and the online order is defined as a three-level unit.
Wherein, the L1 distance, i.e. the maximum distance that the background personnel can receive the personnel, is set, for example: 3km; the distance L1 nearby, namely, a circle with the radius L1 is drawn by taking the pick-up point as the center, and the distribution staff in the range of the circle is the candidate. And if the working state information of the dispatcher is waiting for order receiving, selecting.
3) And sending an order allocation request to a terminal bound by a certain three-level unit.
From the above, an important difference between the present method and other past distribution service operation platforms is that: instead of relying on the cloud to do a large amount of order distribution work, tasks are distributed to all off-line terminals, and small-range area distribution analysis is performed; the cloud server data processing method and device can effectively improve data processing pressure of the cloud server, speed up data processing, and reduce the problem that experience of both delivery parties is poor due to data updating delay.
The terminal can be considered as a mobile phone bound by a dispatcher; in one embodiment of the method, an intelligent incubator customized for the distribution of the prepared dishes is used as a terminal, which is explained in other embodiments of the present application, and thus will not be described in detail.
Regarding a terminal management method, it includes:
1) Receiving an order allocation request, and selecting a plurality of tertiary units to be defined as secondary units based on preset order allocation logic;
wherein the order assignment logic includes similarity screening logic implemented based on the historical delivery records; that is, the distribution operators having similar and identical distribution experience are preferentially selected, so that the smoothness of the distribution service is ensured.
2) And initiating a delivery request to the terminal of each secondary unit, and selecting one secondary unit to be defined as a delivery person according to feedback.
The above-mentioned delivery request, i.e., inquire whether to accept a bill; if the feedback is: if yes, the first person is selected following a first-come-first-come mechanism of "robbery order".
3) When the dispatcher confirms (through the feedback of the mobile phone) that the goods of the matched order are fetched, the corresponding terminal is:
acquiring geographic position information of a delivery point, a delivery point and a delivery person, and generating delivery tracking data based on the electronic map marks and the updated positions;
and initiating a distribution route check request and a distribution point traffic license pre-storing request based on online booking one-way consumers, and acquiring feedback as distribution guide information to be used as display.
The route check request may be: transmitting the navigation route automatically generated by the preassembled navigation system to a consumer for verification, and providing route modification authority; when the consumer considers that the route is better, the user can feed back by editing the text description and the voice.
The above-mentioned pre-stored request of passing permit considers that some cells and buildings do not allow outsiders to get in and out, and registration, certificates, elevator riding and the like are required to be performed by swiping cards, so that the distributor is required to contact consumers and wait at all times. The present method provides access permission pre-storing functions such as: after the elevator card is copied to the mobile phone by the consumer through NFC, the elevator card can feed back the data as pre-stored content to the distribution terminal through the mobile phone; the basis for realizing the card copying function can refer to NFC card transfer between new and old mobile phones.
According to the arrangement, in the distribution process of the distributor, the consumer can guide the distributor to more quickly and accurately go to the distribution point; on the other hand, the method can prepare certificates and the like for entering and exiting the distribution point for the distributor in advance, reduce waiting time of the distributor, reduce possibility of disputes between the distributor and management personnel related to the distribution point, and further guarantee smoothness of the distribution process.
In one embodiment of the present application, the similarity screening logic includes:
defining distribution points, goods taking points and navigation planning paths as characteristic factors;
traversing a historical distribution record of the three-level unit;
calculating the feature factor coincidence ratio of the current delivery request and the calendar strip delivery record, taking the delivery record with the value exceeding the first preset lower limit value as a component;
counting the components of each three-level unit to obtain corresponding similar total scores;
and taking three-level units with similar total scores exceeding a lower limit value of two, and defining the three-level units as two-level units.
It will be appreciated that the three-level units, i.e., the preselected dispatcher's historical distribution records, are recorded by the corresponding cloud and retrieved for use.
The first lower limit value can be a route similarity degree screening value set by staff and aims at eliminating a large number of irrelevant distribution records; the second lower limit value can be an experience screening condition set by a worker, and aims to exclude a person with smaller experience from a plurality of people with similar delivery experience so as to ensure smooth delivery.
According to the method, the distribution experience irrelevant to the current distribution request is firstly screened out uniformly, and then the experience of each preselector is compared to select the distribution personnel with relative advantages, so that the smooth execution of the distribution process can be ensured.
In one embodiment of the method, the above-mentioned system for evaluating consumption may further include a ticket rejection or deduction process for the distributor with a plurality of distribution differences to further provide the distribution service satisfied by the consumer.
In one embodiment of the method, the calculating the feature factor overlap ratio of the current delivery request and the calendar strip delivery record includes:
calculating the similarity A between distribution points;
calculating the similarity B between the picking points;
calculating the similarity D=C/X1 between navigation planning paths, wherein X1 is a standard value, and C is the number of road overlapping times;
and respectively carrying out weight assignment on the similarity A, the similarity B and the similarity D, and carrying out statistics to obtain the feature factor coincidence degree.
The similarity A and the similarity B are the similarity comparison between geographic positions, and are used as one-dimensional vectors, the distances between the two are directly measured, the closer the distances are, the higher the similarity is, and the specific mapping relation is set by staff.
The definition of the overlap of the roads described above is: the navigation planning path passes through the road A, and the navigation planning path also passes through the road A at present, and more than 1/2 of the paths are overlapped, namely overlapping once; sequentially resembling the B road and the C road … …, and then accumulating the times to obtain the overlapping times C. The formula: x1 in d=c/X1 is intended for data normalization processing in combination with feature factor overlap ratio.
And because the method also introduces a weight concept, namely the score importance distinction of different features, more accurate similar experience can be estimated, and the screening accuracy of the secondary unit is improved.
In one embodiment of the present application, the order allocation logic includes equalization logic implemented based on the delivery records; equalization logic, comprising:
traversing a historical distribution record of the three-level unit;
if a certain three-level unit is never distributed to the current distribution point, defining the three-level unit as a two-level unit;
counting the distribution quantity of each three-level unit on the same day, and defining the distribution quantity as a two-level unit if the distribution quantity is smaller than a preset lower limit value III.
Note that the traversal history in this application actually refers to a cycle, such as: the history is traversed over a month.
According to the above, it can be avoided that such orders cannot always be received for "new" dispatchers; meanwhile, because of the lower limit value III and the logic matched with the lower limit value III, the method can take care of the distributor with small daily delivery quantity, and on one hand, the prefabricated vegetable order such as the prefabricated vegetable order disclosed by the application is usually obviously higher in delivery cost than other delivery tasks; on the other hand, when the amount of distribution is small, the time is more abundant in many cases.
In one embodiment of the present application, a terminal management method includes: and periodically executing a preset abnormality verification process. An anomaly verification process comprising:
extracting a value from the designated array set based on a preset random algorithm in the t1 time of any abnormal verification period, and taking the value as the period t2 of the abnormal verification;
and after the period t2, retrieving an order allocation record stored in the terminal, and sending the order allocation record to the appointed cloud for data anomaly detection.
It will be appreciated that the random algorithm is set up for the purpose of time sampling, which can be achieved by: designing a hash table, circularly acquiring random numbers, searching in the hash table, and outputting if the number is not found in the hash table. The sampling function can be reset once a year, so that the need of setting a larger array is avoided, and the overlong abnormal verification period is avoided.
The method is provided with the abnormality verification function because the method does not rely on a cloud to distribute orders, but issues tasks to the terminals of all the distributors, and even if the issued targets are randomly appeared, the probability of utilization of offenders is also present; at this time, in order to prevent illegal personnel from interfering with the order allocation process to make profit, the data of the terminal needs to be sent back to the cloud for anomaly detection; moreover, a random time point mechanism is employed, so that data tampering can be further prevented.
The cloud detection of abnormal data is the prior art, and therefore is not described in detail; it should be noted that at least the frequency of receiving the orders of the vegetables and the like in the application should be detected, and if the frequency is higher than a certain threshold, the data can be sent to the related auditor for manual review.
In one embodiment of the present application, the terminal management method further includes:
acquiring real-time positioning information of a terminal; the positioning information comprises longitude, latitude and height;
calculating a remaining distribution distance based on the positioning information and the distribution point;
if the remaining distribution distance is smaller than the preset distance lower limit value IV, executing a preset floor evaluation flow, evaluating the floor where the floor is located, and initiating a arrival reminding to a consumer;
if the difference value between the floor where the current evaluation is located and the floor of the delivery point is smaller than the distance lower limit value five, a delivery completion check request is initiated to the consumer, and the delivery flow is ended according to feedback.
Assuming that the distance lower limit value IV is 100m, the method can give a prompt in advance when the dispatcher approaches to the dispatching point selected by the consumer, which is helpful to the scene that the consumer is required to receive the goods on the surface, and reduces the waiting time of the dispatcher.
Assuming that the lower limit value II is 1 layer, the method can prepare arrival confirmation in advance when the goods are about to arrive at the floor where the consumer is located, and is also a reminding of the consumer; the distributor does not need to manually contact the consumer when the takeaway waits to the gate as before. This feature also helps to reduce the likelihood that goods are not delivered to, but that the dispatcher privately confirms delivery of the order in advance, ensuring consumer benefit and reducing unnecessary conflicts.
Regarding the above floor evaluation flow, it includes:
acquiring height information when the residual distribution distance is four times the distance lower limit value, and marking the height information as a first height;
and calculating the height difference between the current height and the first height, acquiring the design level of the building at the delivery point from the cloud, and evaluating the floor where the current position is located.
It can be understood that the building level data of the cloud can be obtained by authorization and input from related departments such as a house administration in advance. By importing the real floor height data, the accuracy of evaluating the current floor can be effectively improved.
The embodiment of the application also discloses an intelligent logistics insulation can which is used as a terminal for the prepackaged logistics distribution management method.
Referring to fig. 2, the intelligent logistics insulation can includes: comprises a box body, wherein heat preservation cotton is arranged in the box body, and the inner wall of the cavity body is covered with a waterproof skin layer; the box body is provided with at least one box cover which is opened by a lock structure.
The intelligent interaction module is embedded and arranged on the upper portion of the box body and comprises a control unit, a touch display, a communication unit and a power supply unit which are integrated in the same box body structure.
The touch display is displayed on the upper surface of the box body and covers the toughened film for protection; the touch display and the communication unit are connected with the control unit (i.e. the processor); and the power supply unit, namely a storage battery, is used for supplying power to the control unit, the touch display and the communication unit.
The control unit is arranged to correspond to the content of the terminal in any of the methods described above.
In order to match the floor evaluation function in the method, the corresponding incubator further comprises a GPS positioning module, and the GPS positioning module is connected with the control unit to provide longitude, latitude and height parameters.
Compared with the method that a mobile phone of a distributor is directly used as a terminal, on one hand, the arrangement of the heat preservation box can meet the requirement of each merchant for providing high-definition distribution service, the container required by the merchant is customized for storing prefabricated dishes and the like, and the probability of mutual extrusion damage of goods is reduced; on the other hand, further realization can be achieved:
the conditions of preventing goods from being lost, enabling the dispatcher to jump to deliver other goods and the like are realized by comparing the positioning data of the insulation box with the positioning data of the dispatcher, so that smooth delivery service is further ensured.
The foregoing are all preferred embodiments of the present application, and are not intended to limit the scope of the present application in any way, therefore: all equivalent changes in structure, shape and principle of this application should be covered in the protection scope of this application.
Claims (7)
1. A method of prepackaged logistics distribution management comprising: the cloud management method comprises the following steps:
receiving or acquiring on-line order information and geographic position information and working state information of a dispatcher;
if a certain online order initiates a delivery request, screening out the delivery operators in the distance L1 nearby the online order according to the geographic position information of the pick-up point corresponding to the online order and the working state information of the delivery operators, and defining the online order as a three-level unit;
sending an order allocation request to a terminal bound by a certain three-level unit;
the terminal management method comprises the following steps:
receiving an order allocation request, and selecting a plurality of tertiary units to be defined as secondary units based on preset order allocation logic; wherein the order allocation logic comprises similarity screening logic implemented based on historical delivery records;
initiating a distribution request to the terminal of each secondary unit, and selecting one secondary unit to define as a distributor according to feedback;
when the dispatcher confirms that the goods of the matched order are taken, the corresponding terminal is:
acquiring geographic position information of a delivery point, a delivery point and a delivery person, and generating delivery tracking data based on the electronic map marks and the updated positions;
initiating a distribution route checking request and a distribution point passing permit pre-storing request based on online booking one-way consumers, and acquiring feedback as distribution guide information to be used as display;
the similarity screening logic, comprising:
defining distribution points, goods taking points and navigation planning paths as characteristic factors;
traversing a historical distribution record of the three-level unit;
calculating the feature factor coincidence ratio of the current delivery request and the calendar strip delivery record, taking the delivery record with the value exceeding the first preset lower limit value as a component;
counting the components of each three-level unit to obtain corresponding similar total scores;
taking three-level units with the similar total score exceeding a lower limit value II, and defining the three-level units as two-level units;
the calculating the feature factor coincidence ratio of the current delivery request and the calendar strip delivery record comprises the following steps:
calculating the similarity A between distribution points;
calculating the similarity B between the picking points;
calculating the similarity D=C/X1 between navigation planning paths, wherein X1 is a standard value, and C is the number of road overlapping times;
and respectively carrying out weight assignment on the similarity A, the similarity B and the similarity D, and carrying out statistics to obtain the feature factor coincidence degree.
2. The prepackaged logistics distribution management method of claim 1, wherein: the order allocation logic includes equalization logic implemented based on the delivery record; the equalization logic, comprising:
traversing a historical distribution record of the three-level unit;
if a certain three-level unit is never distributed to the current distribution point, defining the three-level unit as a two-level unit;
counting the distribution quantity of each three-level unit on the same day, and defining the distribution quantity as a two-level unit if the distribution quantity is smaller than a preset lower limit value III.
3. The prepackaged logistics distribution management method of claim 2, wherein the terminal management method comprises: periodically executing a preset abnormality verification process; the anomaly verification process comprises the following steps:
extracting a value from the designated array set based on a preset random algorithm in the t1 time of any abnormal verification period, and taking the value as the period t2 of the abnormal verification;
and after the period t2, retrieving an order allocation record stored in the terminal, and sending the order allocation record to the appointed cloud for data anomaly detection.
4. The prepackaged logistics distribution management method of claim 3, wherein the terminal management method further comprises:
acquiring real-time positioning information of a terminal; the positioning information comprises longitude, latitude and height;
calculating a remaining distribution distance based on the positioning information and the distribution point;
if the remaining distribution distance is smaller than the preset distance lower limit value IV, executing a preset floor evaluation flow, evaluating the floor where the floor is located, and initiating a arrival reminding to a consumer;
if the difference value between the floor where the current evaluation is located and the floor of the delivery point is smaller than the distance lower limit value five, a delivery completion check request is initiated to the consumer, and the delivery flow is ended according to feedback.
5. The prepackaged logistics distribution management method of claim 4, wherein the floor evaluation procedure comprises:
acquiring height information when the residual distribution distance is four times the distance lower limit value, and marking the height information as a first height;
and calculating the height difference between the current height and the first height, acquiring the design level of the building at the delivery point from the cloud, and evaluating the floor where the current position is located.
6. An intelligent logistics insulation can applied to a prepackaged logistics distribution management method according to any one of claims 1-5, comprising a box body, wherein an intelligent interaction module is installed on the box body, the intelligent interaction module comprises a control unit, a touch display, a communication unit and a power supply unit, the touch display and the communication unit are connected to the control unit, the power supply unit is used for supplying power to the control unit, the touch display and the communication unit, and the control unit is used for:
receiving an order allocation request, and selecting a plurality of tertiary units to be defined as secondary units based on preset order allocation logic; wherein the order allocation logic comprises similarity screening logic implemented based on historical delivery records;
sending a distribution request to the intelligent interaction module of each secondary unit, and selecting one secondary unit to define as a distributor according to feedback;
when a certain intelligent interaction module is matched with a dispatcher, the control unit:
acquiring geographic position information of a delivery point, a delivery point and a delivery person, and generating delivery tracking data based on the electronic map marks and the updated positions;
and initiating a distribution route check request and a distribution point traffic license pre-storing request based on online booking one-way consumers, and acquiring feedback as distribution guide information to be used as display.
7. The intelligent logistics insulation of claim 6, wherein: the box body is also provided with a GPS positioning module which is connected with the intelligent interaction module; the control unit:
acquiring real-time positioning information of a GPS positioning module;
calculating a remaining distribution distance based on the positioning information and the distribution point;
if the remaining distribution distance is smaller than the preset distance lower limit value IV, executing a preset floor evaluation flow, evaluating the floor where the floor is located, and initiating a arrival reminding to a consumer;
if the difference value between the floor where the current evaluation is located and the floor of the delivery point is smaller than the distance lower limit value five, a delivery completion check request is initiated to the consumer, and the delivery flow is ended according to feedback.
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