CN116993272A - Logistics management method and system based on video monitoring and RFID - Google Patents
Logistics management method and system based on video monitoring and RFID Download PDFInfo
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Abstract
The invention relates to the technical field of data processing for management purposes, and provides a logistics management method and system based on video monitoring and RFID, wherein the logistics management method comprises the following steps: acquiring inventory data and demand data of each item category in the commodity circulation management through the RFID radio frequency tag; acquiring the inventory consumption degree and the inventory consumption sequence of each item type according to the change of the inventory data in the adjacent statistics of each item type and the demand data of each statistics; acquiring event starting evaluation and a plurality of event segments of each item type according to the inventory consumption sequence of each item type; obtaining the current statistical inventory duty ratio of each article according to the event segment of each article type; and carrying out self-adaptive replenishment on each article type according to the inventory duty ratio, and realizing the management of logistics scheduling. The invention aims to solve the problem that the inventory of different kinds of objects cannot be timely supplemented in the logistics management.
Description
Technical Field
The invention relates to the technical field of data processing for management, in particular to a logistics management method and system based on video monitoring and RFID.
Background
When the logistics center carries out goods throughput management, the storage quantity of goods needs to be checked, the goods with insufficient inventory quantity is supplemented, the goods type information can be simply and rapidly counted through the RFID tag and the reading equipment installed on the goods transportation line, the consumption speeds of different goods are different, certain use property association exists among the goods, and the self-adaptive inventory supplementation is required to be carried out according to different inventory consumption conditions, so that the service efficiency and the risk resistance of the logistics center are improved, and the logistics management efficiency is improved.
In the existing method, the inventory of the articles is supplemented through a fixed inventory threshold value, the inventory of the articles cannot be timely and accurately supplemented, meanwhile, the logistics management efficiency is affected due to the fact that the idle inventory space among different articles is not effectively utilized, and therefore the inventory change of the different articles is combined to predict, and then self-adaptive inventory supplementation is achieved.
Disclosure of Invention
The invention provides a logistics management method and a logistics management system based on video monitoring and RFID (radio frequency identification device), which aim to solve the problem that the inventory of different kinds of objects cannot be timely supplemented in the conventional logistics management, and the adopted technical scheme is as follows:
in a first aspect, an embodiment of the present invention provides a method for logistics management based on video monitoring and RFID, the method comprising the steps of:
acquiring inventory data and demand data of each item category in the commodity circulation management through the RFID radio frequency tag;
acquiring the inventory consumption degree and the inventory consumption sequence of each item type according to the change of the inventory data in the adjacent statistics of each item type and the demand data of each statistics;
acquiring event starting evaluation and a plurality of event segments of each item type according to the inventory consumption sequence of each item type; obtaining the current statistical inventory duty ratio of each article according to the event segment of each article type;
and carrying out self-adaptive replenishment on each article type according to the inventory duty ratio, and realizing the management of logistics scheduling.
Further, the inventory data counted each time for each item category is obtained by the specific method:
taking a day as a period, counting every 30 minutes, and counting every 0 hour of each day for the first time, wherein the type and the identification number of each article can be obtained in each counting;
and (3) transmitting the articles monitored by each reader-writer, the types and the identification numbers thereof back to a central computer, counting the number of the articles of the same type by the central computer, counting the number of the articles of the same type only once by the same identification numbers in the counting process, obtaining the number of each article type counted each time, and recording the number as inventory data of each article type.
Further, the inventory consumption degree and the inventory consumption sequence counted each time for each item category are obtained by the specific method that:
wherein ,indicate->Personal item category->Sub-statistical inventory consumption level,/->Indicate->Personal item category->Sub-statistical inventory data,/>Indicate->Personal item category->Sub-statistical inventory data,/>Indicates the number of the article types->Indicate->Personal item category->Sub-statistical inventory data,/>Indicate->Item category number 1Sub-statistical inventory data,/>Indicate->Personal item category->Sub-statistical demand data;
acquiring the inventory consumption degree counted each time for each article type, wherein the inventory consumption degree counted for the first time for each article type is set to be 0;
and acquiring an inventory consumption sequence counted each time for each item type according to the inventory consumption degree.
Further, the method for obtaining the inventory consumption sequence counted each time for each item category according to the inventory consumption degree comprises the following specific steps:
for any one statistics of any article type, stopping the article type to all the inventory consumption degrees of the statistics, and arranging according to the statistics sequence, wherein the obtained sequence is recorded as the inventory consumption sequence of the statistics of the article type; a sequence of inventory consumption per statistics for each item category is obtained.
Further, the event start evaluation and a plurality of event segments counted each time for each article category are obtained by the specific method:
first, thePersonal item category->Event-initiated evaluation of sub-statistics->The calculation method of (1) is as follows:
wherein ,representing from datum point to +.>Counting the number of times the sub-statistic is subjected to, wherein the initial reference point is the first statistics,/i>Indicate->Personal item category->Sub-statistical inventory consumption level,/->Indicate->The item category starts from the reference point to +.>Sub-counting the mean value of all stock consumption levels, +.>Indicate->The item category starts from the reference point to +.>Sub-counting standard deviation of all stock consumption levels, +.>Indicate->Personal item category->Sub-statistics of the extent of inventory consumption of the corresponding reference point, +.>Representing absolute value>Representing a sigmoid function;
and recording the latest statistics as the current statistics, and obtaining event starting evaluation of each item type statistics according to the reference point and the inventory consumption sequence of each item type statistics, and a plurality of event segments of each item type to the current statistics.
Further, the method for obtaining the event start evaluation of each item category per statistics and the event segments of each item category up to the current statistics comprises the following specific steps:
for the firstThe individual article category is fromCalculating event starting evaluation by secondary statistics, and taking the first statistics to the statistics as an event segment and taking the statistics as an ending point when the event starting evaluation is larger than a starting threshold value in the first occurrence; taking the next statistics of the ending point as a new reference point, and calculating event starting evaluation for subsequent statistics of the new reference point, wherein the event starting evaluation starts to calculate based on the new reference point until the statistics that the event starting evaluation is larger than a starting threshold value again appears, so as to obtain a new event section, the ending point and the reference point;
for the firstCalculating event starting evaluation one by counting several times of the object types and segmenting, wherein the reference point does not calculate the event starting evaluation, and obtaining the +.>A plurality of event segments for each item category;
and acquiring event starting evaluation of each item type statistics, and obtaining a plurality of event segments from each item type to the current statistics.
Further, the method for obtaining the current statistical inventory duty ratio of each article comprises the following specific steps:
first, theInventory ratio of individual item categories +.>The calculation method of (1) is as follows:
wherein ,indicate->All of the individual article typesMean value of statistics of event segments, +.>Mean value of statistics representing all event segments of all item categories, +.>Indicate->Number of event segments of individual item categories, +.>A mean value representing the number of event segments for all item categories;
and acquiring the inventory ratio proportion of each article type, and acquiring the inventory ratio of the current statistics of each article type according to the inventory ratio proportion.
Further, the method for obtaining the current statistical inventory duty ratio of each item category according to the inventory duty ratio comprises the following specific steps:
the inventory duty ratio is calculated based on the event segment of the current statistics, softmax normalization is carried out on all the inventory duty ratios, and the obtained result is recorded as the inventory duty ratio of the current statistics of each item type.
Further, the method for adaptively supplementing each article type according to the inventory duty ratio comprises the following specific steps:
for the first statistics, softmax normalization is performed on inventory data of all item categories, and the inventory data is recorded as an initial duty ratio of each item category; for any article type, if the ratio of the inventory duty ratio counted currently by the article type to the initial duty ratio is smaller than the replenishment threshold value, replenishing the article of the article type;
and obtaining the current statistical inventory quantity duty ratio of the article type by calculating the ratio of the inventory data of the article type under the current statistics to the sum of the inventory data of all the article types, and completing the self-adaptive replenishment of different article types by replenishing to enable the inventory quantity duty ratio to be the same as the initial duty ratio.
In a second aspect, another embodiment of the present invention provides a logistics management system based on video monitoring and RFID, the system comprising:
the tag data acquisition module is used for acquiring inventory data and demand data of each item category statistics in the logistics management through the RFID radio frequency tag;
an item inventory analysis module: the inventory consumption degree and the inventory consumption sequence of each item category are obtained according to the change of the inventory data in the adjacent statistics of each item category and the requirement data of each statistics;
acquiring event starting evaluation and a plurality of event segments of each item type according to the inventory consumption sequence of each item type; obtaining the current statistical inventory duty ratio of each article according to the event segment of each article type;
and the logistics scheduling management module is used for adaptively supplementing each article type according to the inventory duty ratio so as to realize the management of logistics scheduling.
The beneficial effects of the invention are as follows: according to the invention, the inventory quantity is consumed to carry out the inventory replenishment of the self-adaptive distribution of the free inventory quantity, the inventory is replenished relative to the fixed threshold value, and the replenishment inventory quantity is self-adaptively replenished according to the change of the inventory consumption degree, so that the inventory quantity can be controlled more accurately, and excessive backlog is avoided; by monitoring the consumption in real time, namely acquiring the inventory consumption degree, the automatic inventory replenishment can more accurately predict the time when the inventory needs to be replenished, and avoid the condition of insufficient inventory; the problem that stock state abnormality is possibly caused by fixed threshold value supplement stock storage is avoided, and the change requirement of logistics scheduling cannot be met.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, and that other drawings can be obtained according to these drawings without inventive faculty for a person skilled in the art.
FIG. 1 is a schematic flow chart of a logistics management method based on video monitoring and RFID according to an embodiment of the present invention;
fig. 2 is a block diagram of a logistics management system based on video monitoring and RFID according to another embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a flow chart of a logistics management method based on video monitoring and RFID according to an embodiment of the present invention is shown, the method includes the following steps:
and S001, acquiring inventory data and demand data of each item category statistics in the logistics management through the RFID radio frequency tag.
The purpose of the embodiment is to perform logistics management through video monitoring and RFID, acquire the type and the identification number of each article through video monitoring and RFID, further obtain inventory data of each article type, and simultaneously acquire demand data of each article type in real time through a logistics system; the RFID radio frequency tag is a technology for wireless identification and tracking of products, is widely applied to logistics and supply chain management, and can communicate with a reader-writer through radio waves; the logistics articles generally adopt passive tags with low cost, the passive tags have no power supply, and the passive tags are activated and transmit data by receiving radio frequency energy sent by a reader-writer; the RFID radio frequency tag contains the types, the identification numbers and the like of the articles, and the types and the identification numbers of the articles corresponding to all the radio frequency tags in the monitoring range can be read through a reader-writer arranged on the goods shelf and returned to the central computer.
Specifically, in this embodiment, the radio frequency tag is identified by the reader-writer on the shelf every 30 minutes, counting is performed every 30 minutes, and the first counting is performed every 0 hour of each day with a period of one day, so that the type and the identification number of each article can be obtained in each counting; meanwhile, because the monitoring ranges of the readers are overlapped, repeated statistics of the articles can be generated, in each statistics, the central computer counts the number of the articles of the same type by transmitting the articles monitored by each reader and the types and the identification numbers thereof back to the central computer, and the same identification numbers are counted only once in the statistics process, namely the identification numbers are in one-to-one correspondence with the articles, the number of each article type can be counted each time, the number is recorded as stock data of each article type, meanwhile, the demand data corresponding to each time of counting of each article type is directly acquired from the central computer, the demand data is not emphasized by the invention, and the method is not repeated according to the prior art.
Thus, the inventory data and the demand data of each item category are obtained.
Step S002, according to the change of the stock data in the adjacent statistics of each article category and the demand data of each statistics, the stock consumption degree and the stock consumption sequence of each statistics of each article category are obtained.
When the inventory data is not supplemented, the inventory data is reduced, but the short-term inventory data change of a single article type cannot reflect the consumption degree of the inventory of the article type, and the change of the inventory data under adjacent statistics of different article types needs to be combined to reflect the consumption degree of the inventory; meanwhile, the demand data of corresponding statistics are combined, the larger the demand data is, the more stock is needed to be replenished, and the stock consumption degree is further required to be increased, so that a judgment basis is provided for subsequent stock replenishment.
Specifically, for the firstThe individual article category is at->Sub-statistics, wherein->Its stock consumption degree->The calculation method of (1) is as follows:
wherein ,indicate->Personal item category->Sub-statistical inventory data,/>Indicate->Item category number 1Sub-statistical inventory data,/>Indicates the number of the article types->Indicate->Personal item category->Sub-statistical inventory data,/>Indicate->Personal item category->Sub-statistical inventory data,/>Indicate->Personal item category->Sub-statistical demand data; the larger the difference value of the inventory data counted by adjacent times is, the more the inventory consumption degree is reduced, the larger the inventory consumption degree is, meanwhile, the difference exists between the difference values of the adjacent times counted by different article types, the larger the ratio of the difference value to the average value is, the larger the inventory consumption degree is, the larger the ratio of the demand data to the inventory data is combined to adjust the inventory consumption degree, the larger the demand data is, the larger the occupied ratio of the inventory data is, and the larger the inventory consumption degree is; acquiring the inventory consumption degree counted each time for each article type according to the method, wherein the inventory consumption degree counted for the first time for each article type is set to be 0; in the process of changing the inventory data, the situation of inventory replenishment exists, namely, the inventory data counted at this time is larger than the inventory data of the adjacent previous time, for the situation, the quantity of the articles of the item type replenished is removed from the inventory data counted at this time, and then the quantity of the articles is compared with the inventory data of the adjacent previous time, namely, the influence of inventory replenishment is removed in the process of calculating the inventory consumption degree, so that the accurate inventory consumption degree is obtained.
Further, for any one statistics of any article type, stopping the article type to all the inventory consumption degrees of the statistics, and arranging according to the statistics sequence, wherein the obtained sequence is recorded as the inventory consumption sequence of the statistics of the article type; and acquiring the inventory consumption sequence counted each time for each article type according to the method.
Thus, the inventory consumption degree counted each time for each article type is obtained, and the inventory consumption sequence counted each time for each article type is obtained.
Step S003, acquiring event starting evaluation and a plurality of event segments counted each time for each article type according to the inventory consumption sequence of each article type; and obtaining the current statistical inventory duty ratio of each article according to the event segment of each article type.
It should be noted that, the inventory quantity needs to be adjusted in a targeted manner according to the consumption condition, so as to achieve the efficient utilization of the inventory space; for the article types with more obvious fluctuation of consumption characteristics, namely the article types with larger change of inventory consumption degree, the inventory reserve quantity, namely the inventory quantity, in a short time needs to be purposefully improved; the goods with gentle fluctuation of the consumption characteristics can be stored in a larger proportion by ensuring the stock quantity of the basic goods supply and simultaneously providing the empty stock space brought by stock consumption for the goods with obvious fluctuation, so as to achieve the aim of resisting risks; therefore, the inventory consumption sequence of the article type is used for acquiring event starting evaluation according to fluctuation change, and then segmentation is carried out, namely, the article type generates a fluctuation position dissimilar to the local time sequence fluctuation condition in a certain statistics, the fluctuation position represents the beginning of a consumption event, the inventory fluctuation change after the consumption time is integrated for estimating the inventory consumption condition, the distribution of the inventory space is judged, and then a plurality of event segments are obtained.
It should be further noted that, after the event segments are obtained, the faster the inventory consumption speed is, the greater the change of the inventory consumption degree is, the more event segments are, the fewer the statistics times in each segment are, and the greater the inventory duty ratio should be.
Specifically, for the firstItem category of->Event-initiated evaluation of sub-statistics->The calculation method of (1) is as follows:
wherein ,representing from datum point to +.>Counting the number of times the sub-statistic is subjected to, wherein the initial reference point is the first statistics,/i>Indicate->Personal item category->Sub-statistical inventory consumption level,/->Indicate->The item category starts from the reference point to +.>Sub-counting the mean value of all stock consumption levels, +.>Indicate->The item category starts from the reference point to +.>Sub-counting standard deviation of all stock consumption levels, +.>Indicate->Personal item category->Sub-statistics of the extent of inventory consumption of the corresponding reference point, +.>Representing absolute value>Representing a sigmoid function for normalization processing; firstly, taking the first statistics as an initial reference point, wherein the reference point does not calculate event starting evaluation, then calculating event starting evaluation every time of statistics, reflecting the fluctuation range of the corresponding inventory consumption degree by stopping the difference between the corresponding inventory consumption degree and the average value and the ratio of the standard deviation, and quantifying the first item>Fluctuation degree of sub-statistics; combine with the firstAnd (5) carrying out secondary statistics and difference of the inventory consumption degree of the datum point to obtain event starting evaluation.
Further, according to the methodCalculating event starting evaluation from second statistics of the types of the articles, presetting a starting threshold, describing the starting threshold by 0.7 in the embodiment, and taking the first statistics to the statistics as an event segment and taking the statistics as an ending point when the first event starting evaluation is larger than the starting threshold; taking the next statistics of the termination point as a new reference point, and calculating event starting evaluation for the subsequent statistics of the new reference point according to the method, wherein the event starting evaluation starts calculation based on the new reference point until the event starting evaluation appears againCounting that the event starting evaluation is larger than a starting threshold value to obtain a new event section, a new ending point and a new datum point; according to the above method for->Counting the number of the article types, calculating event starting evaluation one by one, and segmenting, wherein the reference point does not calculate event starting evaluation, and counting the latest statistics as current statistics until the current statistics to obtain the +.>A plurality of event segments of the item category, wherein the event segment in which the current statistics are located may not have reached the termination point, but still serves as an event segment; according to the method, the event starting evaluation of each item type statistics is obtained, a plurality of event segments of each item type up to the current statistics are obtained, and the event starting evaluation is not calculated by the datum point.
Further, after acquiring a plurality of event segments from each article category to the current statistics, the method is the followingInventory ratio of individual item categories +.>The calculation method of (1) is as follows:
wherein ,indicate->Mean value of statistics of all event segments of individual item categories, +.>Mean value of statistics representing all event segments of all item categories, +.>Indicate->Number of event segments of individual item categories, +.>A mean value representing the number of event segments for all item categories; the smaller the number of statistics in a single event segment is, the more the number of event segments is, and the larger the corresponding inventory ratio proportion is; and acquiring the inventory ratio proportion of each article type which is counted up to the current according to the method, and carrying out softmax normalization on all the inventory ratio proportions, wherein the obtained result is recorded as the inventory ratio of each article type which is counted up to the current.
Thus, the inventory ratio of the current statistics of each article type is obtained, and the event segments are obtained one by one along with the statistics, so that the inventory ratio changes along with the statistics, and the inventory ratio of each article type of the current statistics can be obtained.
And S004, carrying out self-adaptive replenishment on each article type according to the inventory duty ratio, and realizing management of logistics scheduling.
After the inventory duty ratio of each article type is counted currently is obtained, for the first counting, softmax normalization is carried out on the inventory data of all the article types, and the initial duty ratio of each article type is recorded; a replenishment threshold is preset, the replenishment threshold is described by adopting 0.1, for any article type, if the ratio of the inventory duty ratio of the current statistics of the article type to the initial duty ratio is smaller than the replenishment threshold, the articles of the article type need to be replenished, the ratio of the inventory data of the current statistics of the article type to the total inventory data of all the article types is calculated, the inventory quantity duty ratio of the current statistics of the article type is obtained, the inventory quantity duty ratio is the same as the initial duty ratio through replenishment, the self-adaptive replenishment of the article type is completed, and further the management of logistics scheduling is realized.
Thus, the logistics management based on RFID is completed, and in the logistics scheduling process, different article types can be self-adaptively supplemented according to the empty inventory space, so that the articles are ensured not to be excessively consumed to influence the normal logistics scheduling.
Referring to fig. 2, a block diagram of a logistics management system based on video monitoring and RFID according to another embodiment of the present invention is shown, the system includes:
the tag data acquisition module 101 acquires inventory data and demand data of each item category statistics in the logistics management through the RFID radio frequency tag.
Item inventory analysis module 102:
(1) Acquiring the inventory consumption degree and the inventory consumption sequence of each item type according to the change of the inventory data in the adjacent statistics of each item type and the demand data of each statistics;
(2) Acquiring event starting evaluation and a plurality of event segments of each item type according to the inventory consumption sequence of each item type; and obtaining the current statistical inventory duty ratio of each article according to the event segment of each article type.
The logistics scheduling management module 103 carries out self-adaptive replenishment on each article type according to the inventory ratio, and realizes management of logistics scheduling.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.
Claims (10)
1. The logistics management method based on video monitoring and RFID is characterized by comprising the following steps:
acquiring inventory data and demand data of each item category in the commodity circulation management through the RFID radio frequency tag;
acquiring the inventory consumption degree and the inventory consumption sequence of each item type according to the change of the inventory data in the adjacent statistics of each item type and the demand data of each statistics;
acquiring event starting evaluation and a plurality of event segments of each item type according to the inventory consumption sequence of each item type; obtaining the current statistical inventory duty ratio of each article according to the event segment of each article type;
and carrying out self-adaptive replenishment on each article type according to the inventory duty ratio, and realizing the management of logistics scheduling.
2. The logistics management method based on video monitoring and RFID according to claim 1, wherein the inventory data counted each time for each item category is obtained by the following specific method:
taking a day as a period, counting every 30 minutes, and counting every 0 hour of each day for the first time, wherein the type and the identification number of each article can be obtained in each counting;
and (3) transmitting the articles monitored by each reader-writer, the types and the identification numbers thereof back to a central computer, counting the number of the articles of the same type by the central computer, counting the number of the articles of the same type only once by the same identification numbers in the counting process, obtaining the number of each article type counted each time, and recording the number as inventory data of each article type.
3. The logistics management method based on video monitoring and RFID according to claim 1, wherein the inventory consumption degree and the inventory consumption sequence counted each time for each item category are obtained by the following specific methods:
wherein ,indicate->Personal item category->Sub-statistical inventory consumption level,/->Indicate->Personal item category->Sub-statistical inventory data,/>Indicate->Personal item category->Sub-statistical inventory data,/>Indicates the number of the article types->Indicate->Personal item category->Sub-statistical inventory data,/>Indicate->Personal item category->Sub-statistical inventory data,/>Indicate->Personal item category->Sub-statistical demand data;
acquiring the inventory consumption degree counted each time for each article type, wherein the inventory consumption degree counted for the first time for each article type is set to be 0;
and acquiring an inventory consumption sequence counted each time for each item type according to the inventory consumption degree.
4. The method for logistics management based on video monitoring and RFID according to claim 3, wherein the step of obtaining the inventory consumption sequence of each statistics of each item category according to the inventory consumption degree comprises the following specific steps:
for any one statistics of any article type, stopping the article type to all the inventory consumption degrees of the statistics, and arranging according to the statistics sequence, wherein the obtained sequence is recorded as the inventory consumption sequence of the statistics of the article type; a sequence of inventory consumption per statistics for each item category is obtained.
5. The logistics management method based on video monitoring and RFID according to claim 1, wherein the event start evaluation and a plurality of event segments counted each time for each item category are obtained by the following specific methods:
first, thePersonal item category->Event-initiated evaluation of sub-statisticsValence->The calculation method of (1) is as follows:
wherein ,representing from datum point to +.>Counting the number of times the sub-statistic is subjected to, wherein the initial reference point is the first statistics,/i>Indicate->Personal item category->Sub-statistical inventory consumption level,/->Indicate->The item category starts from the reference point to +.>Sub-counting the mean value of all stock consumption levels, +.>Indicate->The article category starts from the datum point to the first/>Sub-counting standard deviation of all stock consumption levels, +.>Indicate->Personal item category->Sub-statistics of the extent of inventory consumption of the corresponding reference point, +.>Representing absolute value>Representing a sigmoid function;
and recording the latest statistics as the current statistics, and obtaining event starting evaluation of each item type statistics according to the reference point and the inventory consumption sequence of each item type statistics, and a plurality of event segments of each item type to the current statistics.
6. The method for logistics management based on video surveillance and RFID according to claim 5, wherein the event start evaluation of each item category per statistics is obtained, and each item category is stopped to a plurality of event segments of the current statistics, comprising the following specific steps:
for the firstCalculating event starting evaluation from the second statistics of the article types, and taking the first statistics to the statistics as an event segment and taking the statistics as an ending point when the event starting evaluation is larger than a starting threshold value in the first occurrence; taking the next statistics of the termination point as a new reference point, andcalculating event starting evaluation for subsequent statistics of the new datum point, wherein the event starting evaluation starts to calculate based on the new datum point until statistics that the event starting evaluation is larger than a starting threshold value again appear, and obtaining a new event section, a new termination point and a new datum point;
for the firstCalculating event starting evaluation one by counting several times of the object types and segmenting, wherein the reference point does not calculate the event starting evaluation, and obtaining the +.>A plurality of event segments for each item category;
and acquiring event starting evaluation of each item type statistics, and obtaining a plurality of event segments from each item type to the current statistics.
7. The logistics management method based on video monitoring and RFID according to claim 5, wherein the obtaining the current statistical inventory duty ratio of each article comprises the following specific steps:
first, theInventory ratio of individual item categories +.>The calculation method of (1) is as follows:
wherein ,indicate->All of the individual article typesMean value of statistics of event segments, +.>Mean value of statistics representing all event segments of all item categories, +.>Indicate->Number of event segments of individual item categories, +.>A mean value representing the number of event segments for all item categories;
and acquiring the inventory ratio proportion of each article type, and acquiring the inventory ratio of the current statistics of each article type according to the inventory ratio proportion.
8. The method for logistics management based on video monitoring and RFID according to claim 7, wherein the step of obtaining the current statistical inventory duty ratio of each item category according to the inventory duty ratio comprises the following specific steps:
the inventory duty ratio is calculated based on the event segment of the current statistics, softmax normalization is carried out on all the inventory duty ratios, and the obtained result is recorded as the inventory duty ratio of the current statistics of each item type.
9. The logistics management method based on video monitoring and RFID according to claim 1, wherein the self-adaptive replenishment of each article type according to the inventory ratio comprises the following specific steps:
for the first statistics, softmax normalization is performed on inventory data of all item categories, and the inventory data is recorded as an initial duty ratio of each item category; for any article type, if the ratio of the inventory duty ratio counted currently by the article type to the initial duty ratio is smaller than the replenishment threshold value, replenishing the article of the article type;
and obtaining the current statistical inventory quantity duty ratio of the article type by calculating the ratio of the inventory data of the article type under the current statistics to the sum of the inventory data of all the article types, and completing the self-adaptive replenishment of different article types by replenishing to enable the inventory quantity duty ratio to be the same as the initial duty ratio.
10. A video monitoring and RFID-based logistics management system, comprising:
the tag data acquisition module is used for acquiring inventory data and demand data of each item category statistics in the logistics management through the RFID radio frequency tag;
an item inventory analysis module: the inventory consumption degree and the inventory consumption sequence of each item category are obtained according to the change of the inventory data in the adjacent statistics of each item category and the requirement data of each statistics;
acquiring event starting evaluation and a plurality of event segments of each item type according to the inventory consumption sequence of each item type; obtaining the current statistical inventory duty ratio of each article according to the event segment of each article type;
and the logistics scheduling management module is used for adaptively supplementing each article type according to the inventory duty ratio so as to realize the management of logistics scheduling.
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