CN109671253B

CN109671253B - Anti-theft method and device for goods shelf, electronic equipment and storage medium

Info

Publication number: CN109671253B
Application number: CN201811591860.1A
Authority: CN
Inventors: 宋恩亮; 郭星君; 张亮
Original assignee: Lazas Network Technology Shanghai Co Ltd
Current assignee: Lazas Network Technology Shanghai Co Ltd
Priority date: 2018-12-20
Filing date: 2018-12-20
Publication date: 2021-01-29
Anticipated expiration: 2038-12-20
Also published as: CN109671253A

Abstract

The embodiment of the invention relates to the technical field of information processing, and discloses an anti-theft method and device for a goods shelf, electronic equipment and a storage medium, wherein the method comprises the steps of obtaining bearing data of a preset position of a goods shelf; detecting whether the bearing data meet a preset condition or not; and triggering an alarm when the load bearing data is determined to meet the preset conditions. According to the invention, the alarm is triggered when the bearing data of the preset position of the goods shelf table meets the preset condition, so that the theft prevention of the goods shelf is realized.

Description

Anti-theft method and device for goods shelf, electronic equipment and storage medium

Technical Field

The invention relates to the technical field of information processing, in particular to an anti-theft method and device for a goods shelf, electronic equipment and a storage medium.

Background

When the intelligent goods shelf is used at present, a purchaser only needs to select needed goods through a button and pay equivalent currency, and the corresponding goods can be thrown out from a goods outlet of the intelligent goods shelf. The intelligent goods shelf is not influenced by operation time and places, does not need to be sold by a special person, can reduce the selling cost, saves time and improves the efficiency. However, the inventor finds that the intelligent shelf is unattended, so that the risk of stealing goods by violence exists, and the normal operation of the intelligent shelf is badly influenced.

Disclosure of Invention

The invention aims to provide an anti-theft method and device for a goods shelf, electronic equipment and a storage medium.

In order to solve the above technical problem, an embodiment of the present invention provides an anti-theft method for a shelf, including: acquiring load bearing data of a preset position of a pallet platform; detecting whether the bearing data meet a preset condition or not; and triggering an alarm when the load bearing data is determined to meet the preset conditions.

An embodiment of the present invention also provides an anti-theft device for a shelf, including: the acquisition module is used for acquiring the bearing data of the preset position of the pallet; the judging module is used for detecting whether the bearing data meet preset conditions or not; and the alarm module triggers an alarm when the load-bearing data is determined to meet the preset conditions.

The embodiment of the invention also provides electronic equipment which comprises a memory and a processor, wherein the memory stores a computer program, and the processor executes the program to acquire the load bearing data of the preset position of the pallet when running the program; detecting whether the bearing data meet a preset condition or not; and triggering an alarm when the load bearing data is determined to meet the preset conditions.

Embodiments of the present invention also provide a non-volatile storage medium for storing a computer-readable program for a computer to perform the above-described theft prevention method for a shelf.

An embodiment of the present invention also provides an intelligent shelf, including: the sensor is arranged at a preset position of the goods shelf; a controller connected to the sensor; the memory and the alarm device are connected with the controller;

wherein the sensor is used for detecting the weighing change of the preset position; the memory stores a computer program that, when executed by the controller, enables: obtaining load bearing data of a preset position of the pallet from the sensor; detecting whether the bearing data meet a preset condition or not; and triggering an alarm device when the load-bearing data is determined to meet the preset conditions.

Compared with the prior art, the implementation mode of the invention has the main differences and the effects that: the method comprises the steps of obtaining bearing data of a preset position of a pallet, detecting whether the bearing data meet preset conditions or not, and triggering an alarm when the bearing data meet the preset conditions. Because the vibrations situation of goods shelves can be judged through the bearing data of preset position to can judge whether goods shelves are being destroyed by violence, detect promptly that goods shelves are stolen, thereby can take the measure of reporting an emergency and ask for help or increased vigilance in order to realize the theftproof of goods shelves when goods shelves are stolen.

In addition, the preset condition corresponds to the preset position; whether the detection the bearing data satisfy preset conditions includes: determining a preset condition corresponding to the preset position; and detecting whether the bearing data meet the corresponding preset conditions. Because the change trends of the load-bearing data close to the side damaged by violence and the load-bearing data far away from the side damaged by violence are different, the shelf theft judging method can judge whether the shelf is stolen more accurately by corresponding the preset condition and the preset position.

In addition, the preset position is a first position, and the preset condition corresponding to the first position includes: in the load bearing data, a maximum value point meeting a first preset condition exists; the first preset condition is as follows: the difference value between the maximum value point and the previous maximum value point is greater than a first preset threshold value; the first position is a position on the goods shelf platform, wherein the distance between the first position and the goods shelf door is smaller than a first preset distance. Since the shelf door is generally the side damaged by violence and the first position is the position on the shelf platform at which the distance from the shelf door is less than the first preset distance, the first position is the position close to the side damaged by violence, so that when the shelf is damaged by violence, the load-bearing data at the first position becomes large, the load-bearing data gradually becomes stable after the violent damage, and the load-bearing data also falls back, that is, the load-bearing data at the moment of the violent damage is a maximum point with a large value, and before the violent damage, some maximum points with small values are generated due to the fluctuation of the value of the sensor, so that by comparing whether the maximum point is larger than the previous maximum point and the difference from the previous maximum point is larger than the first preset threshold value, it can be judged whether the maximum point is the data when the shelf is damaged by violence, and when there is a maximum point satisfying the load-bearing condition, it can be determined that the shelf is violently damaged, i.e., the shelf is stolen.

In addition, the load-bearing data of the preset position of the pallet platform specifically includes: acquiring a weighing curve of a preset position of the pallet platform, wherein the weighing curve comprises a fluctuation area and a stable area positioned in front of the fluctuation area and is used as load-bearing data; the preset condition corresponding to the first position further includes: the maximum value points meeting the first preset condition exist; the second preset condition is as follows: and the median of the first L data which are greater than the bearing data, wherein L is a natural number greater than 2. Because the median of the first L data of the bearing data can represent the size of the bearing data when the goods shelf is stable, and under the condition that the goods shelf is leaned to generate inclination, the bearing data close to one side (the side where a person is located) of the goods shelf door can be reduced to be smaller than the bearing data when the goods shelf is stable (namely the median of the first L data of the bearing data), therefore, the misjudgment of the condition that the maximum point is the extreme point generated by leaning of the goods shelf by judging whether the maximum point is greater than the median of the first L data of the bearing data can be eliminated, and the accuracy of detecting the goods shelf theft is improved.

In addition, the preset condition corresponding to the first position further includes: the maximum value points meeting a third preset condition exist in the maximum value points meeting the second preset condition; the third preset condition is as follows: and the difference value between the median of the first L data of the maximum value point and the median of the first L data of the bearing data is smaller than a preset threshold value. The acting force is fast when the shelf door is damaged violently, and the acting time is short, so the median of the first L data of the maximum point is close to the bearing data when the shelf is stable, namely the difference value between the median of the first L data of the maximum point and the median of the first L data of the bearing data is smaller than the preset threshold value; and under the condition that the goods shelf is relied on, because the leaning acting force is slow and the acting time is long, the bearing data when the median of the front L data of the maximum point deviates from the stability of the goods shelf is larger, namely the difference value of the median of the front L data of the maximum point and the median of the front L data of the bearing data is larger than the preset threshold value. Therefore, by adding the third preset condition, the misjudgment of the condition that the maximum value point is the maximum value point generated by people leaning against the goods shelf can be further eliminated, and the accuracy of detecting the goods shelf theft is further improved.

In addition, the preset position is a second position, and the preset condition corresponding to the second position includes: in the load bearing data, a minimum value point meeting a fourth preset condition exists; the fourth preset condition is as follows: the difference value between the minimum value point and the previous minimum value point is greater than a second preset threshold value; the second position is a position on the goods shelf platform, wherein the distance between the goods shelf platform and the goods shelf door is larger than a second preset distance. Since the shelf door is generally the side damaged by violence and the second position is the position on the shelf platform which is more than the second preset distance away from the shelf door, when the shelf is damaged by violence, the load-bearing data at the second position becomes smaller and becomes gradually stable after the violent damage, and the load-bearing data also rises back, that is, the load-bearing data at the moment of the violent damage is a minimum point with a smaller value, and before the violent damage, some minimum points with a larger value are generated due to the fluctuation of the value of the sensor, therefore, by comparing whether the minimum point is smaller than the previous minimum point and the difference value with the previous minimum point is larger than the second preset threshold value, whether the minimum point is the load-bearing data when the shelf is damaged by violence can be judged, and when the minimum point meeting the condition exists, it can be determined that the shelf is violently damaged, i.e., the shelf is stolen.

In addition, the load-bearing data of the preset position of the pallet platform specifically includes: acquiring a weighing curve of a preset position of the pallet platform, wherein the weighing curve comprises a fluctuation area and a stable area positioned in front of the fluctuation area and is used as load-bearing data; the preset condition corresponding to the second position further includes: minimum value points meeting a fifth preset condition exist in the minimum value points meeting the fourth preset condition; the fifth preset condition is as follows: and the median of the first L data which are less than the bearing data, wherein L is a natural number which is more than 2. Because the size of the bearing data when the goods shelves are steady can be represented to the median of the preceding L data of bearing data, and under the condition that the goods shelves are leaned on and produce the slope, the bearing data far away from one side (the one side that the people are in) of goods shelves door can increase to be greater than the bearing data when steady, consequently, through judging whether this minimum point is less than the median of the preceding L data of bearing data, just can get rid of this minimum point and lean on the extreme point that the goods shelves produced by the people, thereby the stolen accuracy of detection goods shelves has been improved.

In addition, the preset condition corresponding to the second position further includes: minimum value points meeting a sixth preset condition exist in the minimum value points meeting the fifth preset condition; the sixth preset condition is that: and the difference value between the median of the first L data of the minimum value point and the median of the first L data of the bearing data is smaller than a preset threshold value. The acting force is fast when the shelf door is damaged violently, and the acting time is short, so the median of the first L data of the minimum value point is closer to the bearing data when the shelf is stable, namely the difference between the median of the first L data of the minimum value point and the median of the first L data of the bearing data is smaller than the preset threshold value; and under the condition that the goods shelf is relied on, because the leaning acting force is slow and the acting time is long, the bearing data when the median of the front L data of the minimum value point deviates from the stability of the goods shelf is larger, namely the difference value of the median of the front L data of the minimum value point and the median of the front L data of the bearing data is larger than the preset threshold value. Therefore, by adding the sixth preset condition, the misjudgment of the condition that the minimum value point is the extreme value point generated by the person leaning against the goods shelf can be further eliminated, and the accuracy of detecting the goods shelf theft is further improved.

In addition, the load-bearing data of the preset position of the pallet base is obtained, including: acquiring load bearing data of N preset positions of a pallet platform, wherein N is a natural number greater than 1; whether the detection the bearing data satisfy preset conditions specifically includes: determining preset conditions corresponding to the N preset positions respectively; detecting whether bearing data meeting corresponding preset conditions exist in the bearing data of the N preset positions; when bearing data meeting corresponding preset conditions exist, the bearing data are determined to meet the preset conditions. Through the load-bearing data of N preset positions of the goods shelf, when the load-bearing data meeting the corresponding preset conditions exist, the load-bearing data meeting the preset conditions are determined, so that the problem that whether the goods shelf is stolen or not cannot be detected due to the fact that the load-bearing data of a single position is wrong is solved, and the anti-theft coefficient of the goods shelf is improved.

In addition, the alarm includes one or any combination of the following operations: starting a monitoring camera of the shelf, sounding an alarm and sending a notification message for prompting theft information to the pre-bound associated equipment.

Drawings

Fig. 1 is a flowchart of an antitheft method for a shelf according to a first embodiment of the present invention;

fig. 2 is a flowchart of an antitheft method for a shelf according to a second embodiment of the present invention;

fig. 3 is a flowchart of an antitheft method for a shelf according to a third embodiment of the present invention;

FIG. 4 is a graph of load bearing data for two predetermined positions in a third embodiment of the present invention;

fig. 5 is a schematic view of an antitheft device for a shelf according to a fourth embodiment of the invention;

fig. 6 is a schematic structural diagram of an electronic device according to a fifth embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, embodiments of the present invention will be described in detail below with reference to the accompanying drawings. However, it will be appreciated by those of ordinary skill in the art that numerous technical details are set forth in order to provide a better understanding of the present application in various embodiments of the present invention. However, the technical solution claimed in the present application can be implemented without these technical details and various changes and modifications based on the following embodiments. The following embodiments are divided for convenience of description, and should not constitute any limitation to the specific implementation manner of the present invention, and the embodiments may be mutually incorporated and referred to without contradiction.

A first embodiment of the present invention relates to a method for preventing theft of a shelf, as shown in fig. 1. In the present embodiment, load bearing data of a preset position of the pallet table is obtained; detecting whether the bearing data meet a preset condition or not; and triggering an alarm when the load bearing data is determined to meet the preset conditions. Because the vibrations situation of goods shelves can be judged through the bearing data of preset position to can judge whether goods shelves are being destroyed by violence, detect promptly that goods shelves are stolen, thereby can take the measure of reporting an emergency and ask for help or increased vigilance in order to realize the theftproof of goods shelves when goods shelves are stolen. The flow of fig. 1 is described in detail below:

step S101, load bearing data of a first position of the pallet is obtained.

Specifically, the weighing sensor is arranged at the first position of the shelf table, and the load bearing data of the weighing sensor is acquired and used as the load bearing data of the first position. Wherein, the first position is the position that the distance with the goods shelves door is less than first preset distance on the goods shelves platform. In practical application, the load bearing data of the weighing sensor at the first position can be acquired once every preset time as load bearing data, wherein the preset time can be set according to experience.

And step S102, determining a preset condition corresponding to the first position.

Specifically, since the shelf door is generally the side that is violently damaged, the load data of the position near the shelf door and the load data of the position on the side opposite to the shelf door have different trends, and thus, the preset conditions corresponding to different preset positions may be different.

In this embodiment, the preset condition corresponding to the first position includes: in the load bearing data, there are maximum points that satisfy the following conditions: greater than the previous maximum point and the difference from the previous maximum point is greater than a first preset threshold. Since the shelf door is generally the side damaged by violence and the first position is the position on the shelf platform at which the distance from the shelf door is less than the first preset distance, the first position is the position close to the side damaged by violence, so that when the shelf is damaged by violence, the load-bearing data at the first position becomes large, the load-bearing data gradually becomes stable after the violent damage, and the load-bearing data also falls back, that is, the load-bearing data at the moment of the violent damage is a maximum point with a large value, and before the violent damage, some maximum points with small values are generated due to the fluctuation of the value of the sensor, so that by comparing whether the maximum point is larger than the previous maximum point and the difference from the previous maximum point is larger than the first preset threshold value, it can be judged whether the maximum point is the data when the shelf is damaged by violence, and when there is a maximum point satisfying the load-bearing condition, it can be determined that the shelf is violently damaged, i.e., the shelf is stolen.

In practical applications, the load-bearing data of the first position of the shelf table may include: and acquiring the load bearing data of the first position within a preset time length before the shelf door is opened or is opened in an attempt, namely acquiring a weighing curve of the first position, wherein the weighing curve comprises a fluctuation area and a stable area positioned in front of the fluctuation area, and the weighing curve is used as the load bearing data. The weighing curve of the fluctuation area can be understood as the weighing curve of the shelf door in the process of being opened or attempting to be opened, and the weighing curve of the stable area positioned in front of the fluctuation area can be understood as the weighing curve within a preset time length before the shelf door is opened or attempting to be opened. The preset condition corresponding to the first position may further include: among the maximum points satisfying the above conditions, there are maximum points satisfying the following conditions: and the median of the first L data which are greater than the bearing data, wherein L is a natural number greater than 2. Because the median of the first L data of the bearing data can represent the size of the bearing data when the goods shelf is stable, and under the condition that the goods shelf is leaned to generate inclination, the bearing data close to one side (the side where a person is located) of the goods shelf door can be reduced to be smaller than the bearing data when the goods shelf is stable (namely the median of the first L data of the bearing data), therefore, the misjudgment of the condition that the maximum point is the extreme point generated by leaning of the goods shelf by judging whether the maximum point is greater than the median of the first L data of the bearing data can be eliminated, and the accuracy of detecting the goods shelf theft is improved.

Optionally, the preset condition corresponding to the first position may further include: among the maximum value points satisfying the above conditions, there are maximum value points satisfying the following conditions: and the difference value between the median of the first L data of the maximum value point and the median of the first L data of the bearing data is smaller than a preset threshold value. The difference in the present embodiment can be understood as an absolute value. The acting force is fast when the shelf door is damaged violently, and the acting time is short, so the median of the first L data of the maximum point is close to the bearing data when the shelf is stable, namely the difference value between the median of the first L data of the maximum point and the median of the first L data of the bearing data is smaller than the preset threshold value; and under the condition that the goods shelf is relied on, because the leaning acting force is slow and the acting time is long, the bearing data when the median of the front L data of the maximum point deviates from the stability of the goods shelf is larger, namely the difference value of the median of the front L data of the maximum point and the median of the front L data of the bearing data is larger than the preset threshold value. Therefore, by judging whether the difference value between the median of the first L data of the maximum point and the median of the first L data of the bearing data is smaller than the preset threshold value or not, the misjudgment of the condition that the maximum point is the extreme point generated by people leaning against the goods shelf can be further eliminated, and the accuracy of detecting the goods shelf theft is further improved.

And step S103, triggering an alarm when the load bearing data meets the preset conditions.

Specifically, the triggered alarm may include one or any combination of the following operations: starting a monitoring camera of the shelf, sounding an alarm and sending a notification message for prompting theft information to the pre-bound associated equipment.

Compared with the prior art, the implementation mode of the invention has the main differences and the effects that: the method comprises the steps of obtaining bearing data of a preset position of a pallet, detecting whether the bearing data meet preset conditions or not, and triggering an alarm when the bearing data meet the preset conditions. The vibration condition of the goods shelf can be judged according to the load-bearing data of the preset position, so that whether the goods shelf is violently damaged or not can be judged, namely whether the goods shelf is stolen or not is detected, and an alarm measure can be taken when the goods shelf is stolen to realize the theft prevention of the goods shelf; and the misjudgment of the condition that the extreme point is the extreme point generated by the person leaning on the goods shelf is eliminated, so that the accuracy of detecting the goods shelf theft is improved.

The following takes the load-bearing data of the load cell distributed at one corner of the shelf platform close to the shelf door as an example of the load-bearing data of the preset position:

firstly, acquiring load bearing data of the weighing sensor in the first 30s that a shelf door is opened or is attempted to be opened, and finding all maximum value points in the load bearing data;

optionally, before finding the maximum value point in the load-bearing data, filtering (such as wavelet filtering) can be performed on the load-bearing data, high-frequency noise points are filtered, and low-frequency data are left, so that some maximum value points which do not meet the preset condition for damaging the goods shelf are filtered, and the efficiency of detecting the goods shelf to be stolen is improved.

Then, whether the found maximum value points simultaneously meet the following conditions is judged one by one:

firstly, the maximum value point-the previous maximum value point is more than 20000 g;

the maximum value point is greater than the median of 10 points at the beginning of the bearing data;

third, the median of the first 10 points of the load-bearing data-the median of the first 10 points of the maximum point <20000 grams.

Then, when there is a maximum point that satisfies the above three conditions at the same time, it is determined that the shelf is stolen, and the triggered alarm may include one or any combination of the following operations: starting a monitoring camera of the shelf, sounding an alarm and sending a notification message for prompting theft information to the pre-bound associated equipment. Of course, the alarm may be in the form of flashing a light, dialing an alarm phone, and the like, which is not limited herein.

A second embodiment of the present invention relates to an antitheft method for a shelf, as shown in fig. 2, the method including:

in step S201, load bearing data of a second position of the pallet is obtained.

Specifically speaking, the second position is a position on the shelf table, which is away from the shelf door by a distance greater than a second preset distance, and the weighing sensor is arranged on the second position of the shelf table to acquire a weighing curve of the weighing sensor as load-bearing data of the preset position. This step is similar to step S101 and will not be described herein again.

Step S202, determining a preset condition corresponding to the second position.

In the present embodiment, the preset condition corresponding to the second position is: in the load bearing data, there are minimum points that satisfy the following conditions: and the difference value between the current minimum value point and the previous minimum value point is larger than a second preset threshold value, wherein the difference value refers to the difference and the absolute value. Since the shelf door is generally the side damaged by violence and the second position is the position on the shelf platform which is more than the second preset distance away from the shelf door, when the shelf is damaged by violence, the load-bearing data at the second position becomes smaller and becomes gradually stable after the violent damage, and the load-bearing data also rises back, that is, the load-bearing data at the moment of the violent damage is a minimum point with a smaller value, and before the violent damage, some minimum points with a larger value are generated due to the fluctuation of the value of the sensor, therefore, by comparing whether the minimum point is smaller than the previous minimum point and the difference value with the previous minimum point is larger than the second preset threshold value, whether the minimum point is the load-bearing data when the shelf is damaged by violence can be judged, and when the minimum point meeting the condition exists, it can be determined that the shelf is violently damaged, i.e., the shelf is stolen.

In practical applications, the load-bearing data of the second position of the shelf table may include: and the load-bearing data of the second position within a preset time length before the shelf door is opened or is opened in an attempt, namely acquiring a weighing curve of the second position, which comprises a fluctuation area and a stable area positioned in front of the fluctuation area, as the load-bearing data. The weighing curve of the fluctuation area can be understood as the weighing curve of the shelf door in the process of being opened or attempting to be opened, and the weighing curve of the stable area positioned in front of the fluctuation area can be understood as the weighing curve within a preset time length before the shelf door is opened or attempting to be opened. The preset condition corresponding to the second position may further include: among the minimum value points satisfying the above conditions, there are minimum value points satisfying the following conditions: and the median of the first L data which are less than the bearing data, wherein L is a natural number which is more than 2. Because the size of the bearing data when the goods shelves are steady can be represented to the median of the preceding L data of bearing data, and under the condition that the goods shelves are leaned on and produce the slope, the bearing data far away from one side (the one side that the people are in) of goods shelves door can increase to be greater than the bearing data when steady, consequently, through judging whether this minimum point is less than the median of the preceding L data of bearing data, just can get rid of this minimum point and lean on the extreme point that the goods shelves produced by the people, thereby the stolen accuracy of detection goods shelves has been improved.

It should be noted that the preset condition corresponding to the second position may further include: among the minimum value points satisfying the above conditions, there are minimum value points satisfying the following conditions: and the difference value between the median of the first L data of the minimum value point and the median of the first L data of the bearing data is smaller than a preset threshold value, wherein the difference value refers to difference and absolute value. The acting force is fast when the shelf door is damaged violently, and the acting time is short, so the median of the first L data of the minimum value point is closer to the bearing data when the shelf is stable, namely the difference between the median of the first L data of the minimum value point and the median of the first L data of the bearing data is smaller than the preset threshold value; and under the condition that the goods shelf is relied on, because the leaning acting force is slow and the acting time is long, the bearing data when the median of the front L data of the minimum value point deviates from the stability of the goods shelf is larger, namely the difference value of the median of the front L data of the minimum value point and the median of the front L data of the bearing data is larger than the preset threshold value. Therefore, by judging whether the difference value between the median of the first L data of the minimum value point and the median of the first L data of the bearing data is smaller than the preset threshold value or not, the misjudgment of the condition that the minimum value point is the extreme value point generated by people leaning against the goods shelf can be further eliminated, and the accuracy of detecting the goods shelf theft is further improved.

And step S203, triggering an alarm when the load bearing data meets the preset conditions.

Compared with the prior art, the implementation mode of the invention has the main differences and the effects that: the method comprises the steps of obtaining bearing data of a preset position of a pallet, detecting whether the bearing data meet preset conditions or not, and triggering an alarm when the bearing data meet the preset conditions. The vibration condition of the goods shelf can be judged according to the load-bearing data of the preset position, so that whether the goods shelf is violently damaged or not can be judged, namely whether the goods shelf is stolen or not is detected, and an alarm measure can be taken when the goods shelf is stolen to realize the theft prevention of the goods shelf; and, since the preset condition further includes: among the minimum value points satisfying "less than the previous minimum value point and a difference from the previous minimum value point is greater than a second preset threshold", there are minimum value points satisfying the following conditions: a median of the first L data which are less than the load-bearing data, wherein L is a natural number greater than 2; among the minimum value points satisfying the above conditions, there are minimum value points satisfying the following conditions: the difference value between the median of the first L data of the minimum value point and the median of the first L data of the bearing data is smaller than a preset threshold value, so that the misjudgment of the condition that the minimum value point is an extreme value point generated by a person leaning against the goods shelf can be eliminated, and the accuracy of detecting the goods shelf theft is improved.

The following takes the load-bearing data, for example, with the weighing curve of the weighing cell distributed at one corner of the shelf table, which is far from the shelf door, as a preset position:

firstly, acquiring load bearing data of the weighing sensor within 30s before a shelf door is opened or a card is tried to be punched, and finding all minimum value points in the load bearing data;

optionally, before finding the minimum value point in the load-bearing data, filtering (such as wavelet filtering) can be performed on the load-bearing data, high-frequency noise points are filtered, and low-frequency data are left, so that some minimum value points which do not meet the preset condition for damaging the goods shelf are filtered, and the efficiency of detecting the goods shelf theft is improved.

Then, whether the found minimum value points simultaneously satisfy the following conditions is judged one by one:

firstly, the last minimum value point-the minimum value point is more than 20000 g;

the minimum value point is less than the median of 10 points at the beginning of the bearing data;

the difference between the median of 10 points at the beginning of the load-bearing data and the median of 10 points in front of the minimum value point is less than 20000 grams, wherein the difference can be understood as an absolute value.

Then, when there is a minimum value point which simultaneously satisfies the three conditions, the shelf is judged to be stolen, and the triggered alarm can comprise one of the following operations or any combination thereof: starting a monitoring camera of the shelf, sounding an alarm and sending a notification message for prompting theft information to the pre-bound associated equipment. Of course, the alarm may be in the form of flashing a light, dialing an alarm phone, and the like, which is not limited herein.

A third embodiment of the present invention relates to a theft prevention method for a shelf, and as shown in fig. 3, the present embodiment includes the steps of:

step S301, load bearing data of N preset positions of the goods shelf are obtained, wherein N is a natural number larger than 1.

Specifically, weighing sensors are arranged at N positions of the shelf table, weighing curves of the weighing sensors at N preset positions of the shelf table are obtained and used as bearing data, N is a natural number larger than 1, and the sensors are arranged at the preset positions. The preset position can be a position on the goods shelf platform, where the distance from the goods shelf door is smaller than a first preset distance, or a position on the goods shelf platform, where the distance from the goods shelf door is greater than a second preset distance.

Step S302, determining preset conditions corresponding to the N preset positions.

Specifically speaking, N preset positions can be the first position, be the second position, or partly be another part of first position for the second position, all can reach similar technological effect, do not do the restriction here, wherein the first position be the position that is less than first preset distance with the distance of goods shelves door on the goods shelves platform, the second position be greater than the position that the second preset distance was apart from the distance of goods shelves door on the goods shelves platform.

Since the shelf door is generally a side that is violently damaged, the load data of a position near the shelf door and the load data of a position on the side opposite to the shelf door have different trends, and thus, the preset conditions corresponding to different preset positions may be different. In this embodiment, the preset condition corresponding to the first position is similar to the preset condition in the first embodiment, and the preset condition corresponding to the second position is similar to the preset condition in the second embodiment, which is not described herein again.

And step S303, when the load bearing data are determined to meet the preset conditions, triggering an alarm.

Specifically, whether bearing data meeting corresponding preset conditions exist in the bearing data of the N preset positions is detected, and when the bearing data meeting the corresponding preset conditions exist, the bearing data are determined to meet the preset conditions.

In practical application, one of the load bearing data of the N preset positions can meet a corresponding preset condition, that is, the load bearing data is determined to meet the preset condition; or the bearing data of the N preset positions meet corresponding preset conditions, and the bearing data are determined to meet the preset conditions; or if at least M load-bearing data of the N preset positions satisfy the corresponding preset conditions, the load-bearing data is determined to satisfy the preset conditions, where 1< M < N, which is not listed here.

The alarm comprises one or any combination of the following operations: starting a monitoring camera of the shelf, sounding an alarm and sending a notification message for prompting theft information to the pre-bound associated equipment.

Compared with the prior art, the implementation mode of the invention has the main differences and the effects that: the method comprises the steps of obtaining bearing data of a preset position of a pallet, detecting whether the bearing data meet preset conditions or not, and triggering an alarm when the bearing data meet the preset conditions. The vibration condition of the goods shelf can be judged according to the load-bearing data of the preset position, so that whether the goods shelf is violently damaged or not can be judged, namely whether the goods shelf is stolen or not is detected, and an alarm measure can be taken when the goods shelf is stolen to realize the theft prevention of the goods shelf; meanwhile, the misjudgment of the condition that the extreme point is generated by people leaning on the goods shelf can be eliminated, and the accuracy of detecting the goods shelf theft is improved; in addition, by acquiring the bearing data of a plurality of preset positions of the goods shelf, when the bearing data meeting the corresponding preset conditions exist, the bearing data are determined to meet the preset conditions, so that the problem that whether the goods shelf is stolen or not cannot be detected due to the fact that the bearing data of a single position is wrong is solved, and the anti-theft coefficient of the goods shelf is improved.

The following example is that the weighing curves of the weighing sensors (assumed to be weighing sensor 1 and weighing sensor 4) distributed at two corners of the shelf table close to the shelf door are taken as the load-bearing data of the preset positions, and one of the load-bearing data of the N preset positions meets the corresponding preset condition, that is, the load-bearing data is determined to meet the preset condition:

first, as shown in fig. 4, the weighing curves of the load cells 1 and 4 within 30s before the shelf door is opened or is attempted to be opened are obtained to obtain the load-bearing data corresponding to the load cell 1 and the load-bearing data corresponding to the load cell 4, and the load-bearing data corresponding to the load cell 1 and the load-bearing data corresponding to the load cell 4 are respectively subjected to the following operations:

finding all maximum points in the load-bearing data;

Then, when a maximum value point simultaneously meets the three conditions, the goods shelf is judged to be stolen, and an alarm is triggered, wherein the alarm comprises one or any combination of the following operations: starting a monitoring camera of the shelf, sounding an alarm and sending a notification message for prompting theft information to the pre-bound associated equipment. Of course, the alarm may be in the form of flashing a light, dialing an alarm phone, and the like, which is not limited herein.

The following example is that the weighing curves of the weighing sensors (assumed to be weighing sensors 2 and 3) distributed at two corners of the shelf table far away from the shelf door are taken as the load-bearing data of the preset positions, and one of the load-bearing data of the N preset positions meets the corresponding preset condition, that is, the load-bearing data is determined to meet the preset condition:

firstly, acquiring the weighing curves of the weighing sensors 2 and 3 within 30s before the shelf door is opened or is attempted to be opened, acquiring the bearing data corresponding to the weighing sensors 2 and the bearing data corresponding to the weighing sensors 3, and respectively carrying out the following operations on the bearing data of the weighing sensors 2 and the bearing data corresponding to the weighing sensors 3:

finding all minimum value points in the load bearing data;

Then, when a minimum value point simultaneously meets the three conditions, the goods shelf is judged to be stolen, and an alarm is triggered, wherein the alarm comprises one or any combination of the following operations: starting a monitoring camera of the shelf, sounding an alarm and sending a notification message for prompting theft information to the pre-bound associated equipment. Of course, the alarm may be in the form of flashing a light, dialing an alarm phone, and the like, which is not limited herein.

A fourth embodiment of the present invention relates to an antitheft device 400 for a shelf, as shown in fig. 5, the device including:

the acquisition module 401 acquires bearing data of a preset position of the pallet;

a judging module 402, configured to detect whether the load-bearing data meets a preset condition;

and an alarm module 403, configured to trigger an alarm when it is determined that the load-bearing data meets a preset condition.

In one example, the obtaining module 401 obtains load bearing data of N preset positions of the rack platform, where N is a natural number greater than 1. The preset position can be a position on the goods shelf platform, where the distance from the goods shelf door is smaller than a first preset distance, or a position on the goods shelf platform, where the distance from the goods shelf door is greater than a second preset distance.

In an example, the determining module 402 specifically includes: the determining submodule determines preset conditions corresponding to the N preset positions respectively; and the detection submodule is used for detecting whether bearing data meeting corresponding preset conditions exist in the bearing data of the N preset positions or not, and when the bearing data meeting the corresponding preset conditions exist, determining that the bearing data meet the preset conditions.

In one example, the obtaining module is specifically configured to obtain load bearing data of N preset positions of the rack platform, where N is a natural number greater than 1; the determining submodule is specifically used for determining preset conditions corresponding to the N preset positions respectively; the detection submodule is specifically used for detecting whether bearing data meeting corresponding preset conditions exist in the bearing data of the N preset positions or not; when bearing data meeting corresponding preset conditions exist, the bearing data are determined to meet the preset conditions.

That is to say, N can be 1, and the preset position can be first position or second position, certainly, N also can be for being greater than 1 natural number, when N is for being greater than 1 natural number, N a plurality of preset positions can be the first position, be the second position, or partly another part of first position is the second position, all can reach similar technological effect, do not do the restriction here, wherein first position be the position that the distance with the goods shelves door on the goods shelves platform is less than first preset distance, the second position be the position that the distance with the goods shelves door on the goods shelves platform is greater than second preset distance.

It should be noted that the preset condition corresponding to the first position is similar to the preset condition in the first embodiment, and the preset condition corresponding to the second position is similar to the preset condition in the second embodiment, which is not described herein again.

In addition, one of the load bearing data of the N preset positions can meet a corresponding preset condition, that is, the load bearing data is determined to meet the preset condition; or the bearing data of the N preset positions meet corresponding preset conditions, and the bearing data are determined to meet the preset conditions; or the load bearing data of at least M preset positions in the load bearing data of the N preset positions meet corresponding preset conditions, and the load bearing data is determined to meet the preset conditions, wherein 1< M < N.

In one example, the alarm module 403 triggers an alarm when it is determined that the load bearing data meets a preset condition, where the alarm includes one or any combination of the following operations: starting a monitoring camera of the shelf, sounding an alarm and sending a notification message for prompting theft information to the pre-bound associated equipment.

Compared with the prior art, the implementation mode of the invention has the main differences and the effects that: the method comprises the steps of obtaining bearing data of a preset position of a pallet, detecting whether the bearing data meet preset conditions or not, and triggering an alarm when the bearing data meet the preset conditions. The vibration condition of the goods shelf can be judged according to the load-bearing data of the preset position, so that whether the goods shelf is violently damaged or not can be judged, namely whether the goods shelf is stolen or not is detected, and an alarm measure can be taken when the goods shelf is stolen to realize the theft prevention of the goods shelf; and when N is larger than 1, by acquiring the bearing data of N preset positions of the goods shelf, when the bearing data meeting the corresponding preset conditions exist, the bearing data is determined to meet the preset conditions, so that the problem that whether the goods shelf is stolen or not cannot be detected due to the fact that the bearing data of a single position is wrong is avoided, and the anti-theft coefficient of the goods shelf is improved.

A fifth embodiment of the present invention relates to an electronic device, and the electronic device of this embodiment may be a terminal-side device, such as an electronic device like a mobile phone or a tablet computer, or may be a server on a network side.

As shown in fig. 6, the electronic apparatus includes: at least one processor 501; and a memory 502 communicatively coupled to the at least one processor 501; and a communication component 503 in communicative connection with the scanning device, the communication component 503 receiving and transmitting data under the control of the processor 501; wherein the memory 502 stores instructions executable by the at least one processor 501, the instructions being executable by the at least one processor 501 to implement:

acquiring load bearing data of a preset position of a pallet platform;

detecting whether the bearing data meet a preset condition or not;

and triggering an alarm when the load bearing data is determined to meet the preset conditions.

Specifically, the electronic device includes: one or more processors 501 and a memory 502, with one processor 501 being an example in fig. 6. The processor 501 and the memory 502 may be connected by a bus or other means, and fig. 6 illustrates the connection by the bus as an example. Memory 502, which is a non-volatile computer-readable storage medium, may be used to store non-volatile software programs, non-volatile computer-executable programs, and modules. The processor 501 executes various functional applications and data processing of the device by running the nonvolatile software programs, instructions, and modules stored in the memory 502, that is, implements the above-described theft prevention method for the shelf.

The memory 502 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store a list of options, etc. Further, the memory 502 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, memory 502 may optionally include memory 502 located remotely from processor 501, and such remote memory 502 may be connected to an external device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

One or more modules are stored in memory 502 and, when executed by the one or more processors 501, perform the shelf theft prevention method of any of the method embodiments described above.

The product can execute the method provided by the embodiment of the application, has corresponding functional modules and beneficial effects of the execution method, and can refer to the method provided by the embodiment of the application without detailed technical details in the embodiment.

In this embodiment, whether the load-bearing data meets the preset condition is detected by obtaining the load-bearing data of the preset position of the pallet, and when it is determined that the load-bearing data meets the preset condition, an alarm is triggered. Because the vibrations situation of goods shelves can be judged through the bearing data of preset position to can judge whether goods shelves are being destroyed by violence, detect promptly that goods shelves are stolen, thereby can take the measure of reporting an emergency and ask for help or increased vigilance in order to realize the theftproof of goods shelves when goods shelves are stolen.

A sixth embodiment of the invention is directed to a non-volatile storage medium storing a computer-readable program for causing a computer to perform some or all of the above method embodiments.

That is, as can be understood by those skilled in the art, all or part of the steps in the method for implementing the embodiments described above may be implemented by a program instructing related hardware, where the program is stored in a storage medium and includes several instructions to enable a device (which may be a single chip, a chip, or the like) or a processor (processor) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

A seventh embodiment of the present invention provides an intelligent shelf, including: the sensor is arranged at a preset position of the goods shelf; a controller connected to the sensor; the memory and the alarm device are connected with the controller; the sensor is used for detecting the weighing change of the preset position; the memory stores a computer program that when executed by the controller is capable of implementing the steps of: controlling the sensor to acquire bearing data of a preset position of the pallet; detecting whether the bearing data meet a preset condition or not; and triggering an alarm device when the load-bearing data is determined to meet the preset conditions.

Specifically, the preset condition corresponds to the preset position; the controller executes the detection to determine whether the bearing data meets a preset condition, specifically: determining a preset condition corresponding to the preset position; and detecting whether the bearing data meet the corresponding preset conditions.

In this embodiment, the preset position is a first position, and the preset condition corresponding to the first position includes: in the load bearing data, a maximum value point meeting a first preset condition exists; the first preset condition is as follows: the difference value between the maximum value point and the previous maximum value point is greater than a first preset threshold value; the first position is a position on the goods shelf platform, wherein the distance between the first position and the goods shelf door is smaller than a first preset distance.

Further, the controller executes the control the sensor obtains the load bearing data of the preset position of the pallet platform, specifically: acquiring a weighing curve of a sensor arranged at a preset position of a goods shelf as load-bearing data, wherein the weighing curve comprises a fluctuation area and a stable area which is positioned in front of the fluctuation area for a preset time length; the preset condition corresponding to the first position further includes: the maximum value points meeting the first preset condition exist; the second preset condition is as follows: and the median of the first L data which are greater than the bearing data, wherein L is a natural number greater than 2.

Optionally, the preset condition corresponding to the first position further includes: the maximum value points meeting a third preset condition exist in the maximum value points meeting the second preset condition; the third preset condition is as follows: and the difference value between the median of the first L data of the maximum value point and the median of the first L data of the bearing data is smaller than a preset threshold value.

It is worth mentioning that the alarm device may include one or any combination of the following:

the intelligent goods shelf comprises a monitoring camera arranged on the goods shelf, an alarm and a communication module for sending a notification message for prompting theft information to associated equipment bound with the intelligent goods shelf.

In another embodiment of the present invention, the preset position is a second position, and the preset condition corresponding to the second position includes: in the load bearing data, a minimum value point meeting a fourth preset condition exists; the fourth preset condition is as follows: the difference value between the minimum value point and the previous minimum value point is greater than a second preset threshold value; the second position is a position on the goods shelf platform, wherein the distance between the goods shelf platform and the goods shelf door is larger than a second preset distance.

Specifically, the controller executes the control to obtain the load bearing data of the preset position of the pallet platform by the sensor, specifically: acquiring a weighing curve of a sensor arranged at a preset position of a goods shelf as load-bearing data, wherein the weighing curve comprises a fluctuation area and a stable area which is positioned in front of the fluctuation area for a preset time length; the preset condition corresponding to the second position further includes: minimum value points meeting a fifth preset condition exist in the minimum value points meeting the fourth preset condition; the fifth preset condition is as follows: and the median of the first L data which are less than the bearing data, wherein L is a natural number which is more than 2.

Optionally, the preset condition corresponding to the second position further includes: minimum value points meeting a sixth preset condition exist in the minimum value points meeting the fifth preset condition; the sixth preset condition is that: and the difference value between the median of the first L data of the minimum value point and the median of the first L data of the bearing data is smaller than a preset threshold value.

In another possible implementation manner of the present invention, the controller executes the control of the sensor to acquire the load bearing data of the preset position of the pallet, specifically: acquiring weighing curves of sensors arranged at N preset positions of a pallet platform as load-bearing data, wherein N is a natural number greater than 1; the controller executes the detection to determine whether the bearing data meets a preset condition, specifically: determining preset conditions corresponding to the N preset positions respectively; detecting whether bearing data meeting corresponding preset conditions exist in the bearing data of the N preset positions; when bearing data meeting corresponding preset conditions exist, the bearing data are determined to meet the preset conditions.

Since this embodiment corresponds to the first, second, and third embodiments, this embodiment can be implemented in cooperation with the first, second, and third embodiments. The related technical details mentioned in the above description are still valid in the present embodiment, and the technical effects that can be achieved by the related technical details can also be achieved in the present embodiment, and are not described herein again in order to reduce repetition.

It will be understood by those of ordinary skill in the art that the foregoing embodiments are specific examples for carrying out the invention, and that various changes in form and details may be made therein without departing from the spirit and scope of the invention in practice.

The embodiment of the application discloses A1. an anti-theft method for a goods shelf, which comprises the following steps:

acquiring load bearing data of a preset position of a pallet platform;

detecting whether the bearing data meet a preset condition or not;

A2. The method of preventing theft of a shelf according to a1, wherein the predetermined condition corresponds to the predetermined position;

whether the detection the bearing data satisfy preset conditions includes:

determining a preset condition corresponding to the preset position;

and detecting whether the bearing data meet the corresponding preset conditions.

A3. The method for preventing theft of a shelf according to a2, wherein the preset position is a first position, and the preset condition corresponding to the first position includes:

in the load bearing data, a maximum value point meeting a first preset condition exists; the first preset condition is as follows: the difference value between the maximum value point and the previous maximum value point is greater than a first preset threshold value;

the first position is a position on the goods shelf platform, wherein the distance between the first position and the goods shelf door is smaller than a first preset distance.

A4. The method for preventing theft of a shelf according to a3, wherein the obtaining of the load bearing data of the preset position of the shelf platform specifically includes:

acquiring a weighing curve of a preset position of the pallet platform, wherein the weighing curve comprises a fluctuation area and a stable area positioned in front of the fluctuation area and is used as load-bearing data;

the preset condition corresponding to the first position further includes:

the maximum value points meeting the first preset condition exist; the second preset condition is as follows: and the median of the first L data which are greater than the bearing data, wherein L is a natural number greater than 2.

A5. The method for preventing theft of a shelf according to a4, wherein the preset condition corresponding to the first position further comprises:

the maximum value points meeting a third preset condition exist in the maximum value points meeting the second preset condition; the third preset condition is as follows: and the difference value between the median of the first L data of the maximum value point and the median of the first L data of the bearing data is smaller than a preset threshold value.

A6. The method for preventing theft of a shelf according to a2, wherein the preset position is a second position, and the preset condition corresponding to the second position includes:

in the load bearing data, a minimum value point meeting a fourth preset condition exists; the fourth preset condition is as follows: the difference value between the minimum value point and the previous minimum value point is greater than a second preset threshold value;

the second position is a position on the goods shelf platform, wherein the distance between the goods shelf platform and the goods shelf door is larger than a second preset distance.

A7. The method for preventing theft of a shelf according to a6, wherein the obtaining of the load bearing data of the preset position of the shelf platform specifically includes:

the preset condition corresponding to the second position further includes:

minimum value points meeting a fifth preset condition exist in the minimum value points meeting the fourth preset condition; the fifth preset condition is as follows: and the median of the first L data which are less than the bearing data, wherein L is a natural number which is more than 2.

A8. The method for preventing theft of a shelf according to a7, wherein the preset condition corresponding to the second position further comprises:

minimum value points meeting a sixth preset condition exist in the minimum value points meeting the fifth preset condition; the sixth preset condition is that: and the difference value between the median of the first L data of the minimum value point and the median of the first L data of the bearing data is smaller than a preset threshold value.

A9. The method for preventing theft of a shelf according to any one of a2 to A8, wherein the obtaining of load bearing data of a preset position of a shelf platform comprises:

acquiring load bearing data of N preset positions of a pallet platform, wherein N is a natural number greater than 1;

whether the detection the bearing data satisfy preset conditions specifically includes:

determining preset conditions corresponding to the N preset positions respectively;

detecting whether bearing data meeting corresponding preset conditions exist in the bearing data of the N preset positions;

when bearing data meeting corresponding preset conditions exist, the bearing data are determined to meet the preset conditions.

A10. The method for preventing theft of a shelf as described in a9, the alarm comprising one or any combination of the following operations:

starting a monitoring camera of the shelf, sounding an alarm and sending a notification message for prompting theft information to the pre-bound associated equipment.

The embodiment of the application discloses B1. anti-theft device of goods shelves includes:

the acquisition module is used for acquiring the bearing data of the preset position of the pallet;

the judging module is used for detecting whether the bearing data meet preset conditions or not;

and the alarm module triggers an alarm when the load-bearing data is determined to meet the preset conditions.

B2. The shelf theft protection device of claim B1, the preset condition corresponding to the preset position;

the judging module specifically comprises:

the determining submodule is used for determining a preset condition corresponding to the preset position;

and the detection submodule is used for detecting whether the bearing data meet the corresponding preset conditions.

B3. The rack theft protection device of claim B2, wherein the preset position is a first position, and the preset condition corresponding to the first position includes:

B4. The anti-theft device for a shelf according to B3, wherein the obtaining module obtains load-bearing data of a preset position of the shelf platform, and specifically comprises:

the preset condition corresponding to the first position further includes:

B5. The shelf theft protection device of claim B4, wherein the preset condition corresponding to the first position further comprises:

B6. The anti-theft device for a shelf according to B2, wherein the preset position is a second position, and the preset condition corresponding to the second position includes:

B7. The anti-theft device for a shelf according to B6, wherein the obtaining module obtains load-bearing data of a preset position of the shelf platform, and specifically comprises:

the preset condition corresponding to the second position further includes:

B8. The shelf theft protection device of claim B7, wherein the preset condition corresponding to the second position further comprises:

B9. The anti-theft device for the shelf according to any one of the claims B2 to B8, wherein the obtaining module is specifically configured to obtain the load bearing data of N preset positions of the shelf, where N is a natural number greater than 1;

the determining submodule is specifically configured to determine preset conditions corresponding to the N preset positions respectively;

the detection submodule is specifically used for detecting whether bearing data meeting corresponding preset conditions exist in the bearing data of the N preset positions or not; when bearing data meeting corresponding preset conditions exist, the bearing data are determined to meet the preset conditions.

B10. The shelf antitheft device according to B9, wherein the alarm module is specifically configured to trigger one or any combination of the following operations when the load-bearing data is determined to satisfy a preset condition:

The embodiment of the application discloses C1. electronic equipment, including memory and treater, the memory stores computer program, and the treater carries out when running program:

acquiring load bearing data of a preset position of a pallet platform;

detecting whether the bearing data meet a preset condition or not;

C2. The electronic device as recited in C1, the preset condition corresponding to the preset position;

the processor executes the detection to detect whether the bearing data meets a preset condition, specifically:

determining a preset condition corresponding to the preset position;

C3. The electronic device according to C2, wherein the preset position is a first position, and the preset condition corresponding to the first position includes:

C4. The electronic device according to C3, wherein the processor executes the load-bearing data of the preset position of the rack, specifically:

the preset condition corresponding to the first position further includes:

C5. The electronic device according to C4, wherein the preset condition corresponding to the first position further includes:

C6. The electronic device according to C2, wherein the preset position is a second position, and the preset condition corresponding to the second position includes:

C7. The electronic device according to C6, wherein the processor executes the load-bearing data of the preset position of the rack, specifically:

the preset condition corresponding to the second position further includes:

C8. The electronic device of C7, wherein the preset condition corresponding to the second position further includes:

C9. The electronic device according to any one of C2-C8, wherein the processor executes load bearing data of a preset position of the pick rack, specifically:

C10. The electronic device according to C9, wherein the alert includes one or any combination of the following operations:

Also disclosed in an embodiment of the present application is a non-volatile storage medium storing a computer-readable program for a computer to perform the method for preventing theft of a shelf according to any one of the above-mentioned a1 to a10.

The embodiment of the application discloses E1. an intelligence goods shelves includes: the sensor is arranged at a preset position of the goods shelf; a controller connected to the sensor; the memory and the alarm device are connected with the controller;

wherein the sensor is used for detecting the weighing change of the preset position; the memory stores a computer program that, when executed by the controller, enables:

obtaining load bearing data of a preset position of the pallet from the sensor;

detecting whether the bearing data meet a preset condition or not;

and triggering an alarm device when the load-bearing data is determined to meet the preset conditions.

E2. The smart shelf as recited in E1, the preset condition corresponding to the preset location;

the controller executes the detection to determine whether the bearing data meets a preset condition, specifically:

determining a preset condition corresponding to the preset position;

E3. The smart shelf of E2, wherein the preset position is a first position, and the preset condition corresponding to the first position includes:

E4. The intelligent shelf according to E3, wherein the controller executes the control of the sensor to obtain the load bearing data of the preset position of the shelf platform, specifically:

acquiring a weighing curve of a sensor arranged at a preset position of a goods shelf as load-bearing data, wherein the weighing curve comprises a fluctuation area and a stable area which is positioned in front of the fluctuation area for a preset time length;

the preset condition corresponding to the first position further includes:

E5. The smart shelf of E4, the preset condition corresponding to the first position further comprising:

E6. The smart shelf of E2, wherein the preset position is a second position, and the preset conditions corresponding to the second position include:

E7. The intelligent shelf according to E6, wherein the controller executes the control of the sensor to obtain the load bearing data of the preset position of the shelf platform, specifically:

the preset condition corresponding to the second position further includes:

E8. The smart shelf of E7, the preset condition corresponding to the second position further comprising:

E9. The smart shelf according to any one of E2-E8, wherein the controller performs the control of the sensor to obtain load bearing data of a preset position of the shelf, specifically:

acquiring weighing curves of sensors arranged at N preset positions of a pallet platform as load-bearing data, wherein N is a natural number greater than 1;

E10. The intelligent shelf as described in E9, the alerting device comprising one or any combination of the following:

the intelligent shelf comprises a monitoring camera arranged on the shelf, an alarm and a communication module for sending a notification message for prompting theft information to associated equipment bound with the intelligent shelf.

Claims

1. An anti-theft method for a shelf, comprising:

acquiring load bearing data of a preset position of a pallet platform;

detecting whether the bearing data meet a preset condition, wherein the preset condition corresponds to the preset position and comprises the following steps: determining a preset condition corresponding to the preset position; detecting whether the bearing data meet the corresponding preset conditions or not;

the preset position is a first position, and the preset condition corresponding to the first position comprises: in the load bearing data, a maximum value point meeting a first preset condition exists; the first preset condition is as follows: the difference value between the maximum value point and the previous maximum value point is greater than a first preset threshold value; the first position is a position on the goods shelf platform, wherein the distance between the goods shelf platform and the goods shelf door is smaller than a first preset distance; the maximum value points meeting the first preset condition exist; the second preset condition is as follows: a median of the first L data which are greater than the load-bearing data, wherein L is a natural number greater than 2; the maximum value points meeting a third preset condition exist in the maximum value points meeting the second preset condition; the third preset condition is as follows: the difference value between the median of the first L data of the maximum value point and the median of the first L data of the bearing data is smaller than a preset threshold value;

2. The method for preventing theft of a shelf according to claim 1, wherein the obtaining of the load data of the preset position of the shelf platform specifically comprises:

and acquiring a weighing curve of a preset position of the pallet platform, wherein the weighing curve comprises a fluctuation area and a stable area positioned in front of the fluctuation area, and the weighing curve is used as the load-bearing data.

3. The method according to claim 1, wherein the preset position is a second position, and the preset condition corresponding to the second position includes:

in the load bearing data, a minimum value point meeting a fourth preset condition exists; the fourth preset condition is as follows: the difference value between the minimum value point and the previous minimum value point is greater than a second preset threshold value; minimum value points meeting a fifth preset condition exist in the minimum value points meeting the fourth preset condition; the fifth preset condition is as follows: a median of the first L data which are less than the load-bearing data, wherein L is a natural number greater than 2; minimum value points meeting a sixth preset condition exist in the minimum value points meeting the fifth preset condition; the sixth preset condition is that: the difference value between the median of the first L data of the minimum value point and the median of the first L data of the bearing data is smaller than a preset threshold value;

4. The method for preventing theft of a shelf according to claim 3, wherein the obtaining of the load data of the preset position of the shelf platform specifically comprises:

and acquiring a weighing curve of a preset position of the pallet platform, wherein the weighing curve comprises a fluctuation area and a stable area positioned in front of the fluctuation area as the load bearing data.

5. The method for preventing theft of a shelf according to any one of claims 1 to 4, wherein the obtaining of the load bearing data of the preset position of the shelf base comprises:

6. The method of claim 5, wherein the alarm comprises one or any combination of the following operations:

7. An antitheft device for a shelf, comprising:

the judging module is used for detecting whether the bearing data meet a preset condition or not, wherein the preset condition corresponds to the preset position; the judging module specifically comprises: the determining submodule is used for determining a preset condition corresponding to the preset position; the detection submodule is used for detecting whether the bearing data meet the corresponding preset conditions or not;

8. The shelf theft protection device according to claim 7, wherein the acquisition module is specifically configured to acquire a weighing curve of a preset position of the shelf platform including a fluctuation area and a stable area located before the fluctuation area as the load-bearing data.

9. The shelf theft protection device of claim 7, wherein the predetermined position is a second position, and the predetermined condition corresponding to the second position includes:

10. The shelf theft protection device according to claim 9, wherein the acquisition module is specifically configured to acquire a weighing curve of a preset position of the shelf platform including a fluctuation area and a stable area located before the fluctuation area as the load-bearing data.

11. The shelf theft protection device according to any one of claims 7 to 10, wherein the acquisition module is specifically configured to acquire load bearing data of N preset positions of the shelf platform, wherein N is a natural number greater than 1;

12. The shelf theft protection device according to claim 11, wherein the alarm module is specifically configured to trigger one or any combination of the following operations when it is determined that the load-bearing data satisfies a preset condition:

13. An electronic device comprising a memory and a processor, the memory storing a computer program, the processor executing the program to perform:

acquiring load bearing data of a preset position of a pallet platform;

14. The electronic device according to claim 13, wherein the load-bearing data of the predetermined position of the rack platform is obtained by:

15. The electronic device of claim 13, wherein the preset position is a second position, and the preset condition corresponding to the second position includes:

16. The electronic device according to claim 15, wherein the load-bearing data of the predetermined position of the rack platform is obtained by:

17. Electronic device according to any of claims 13 to 16, wherein the load-bearing data of the predetermined position of the pallet is obtained by:

18. The electronic device of claim 17, wherein the alert comprises one or any combination of the following:

19. A non-volatile storage medium for storing a computer-readable program for causing a computer to execute the method of theft prevention of a shelf according to any one of claims 1 to 6.

20. An intelligent shelf, comprising: the sensor is arranged at a preset position of the goods shelf; a controller connected to the sensor; the memory and the alarm device are connected with the controller;

obtaining load bearing data of a preset position of the pallet from the sensor;

and when the load-bearing data are determined to meet the preset conditions, triggering the alarm device.

21. The intelligent rack according to claim 20, wherein the controller performs the control of the sensor to obtain load bearing data of a preset position of the rack platform, specifically:

the weighing curve of the sensor that obtains the preset position that sets up at the goods shelf platform is regarded as bearing data, wherein, the weighing curve includes the fluctuation district and is located long stable area predetermines before the fluctuation district.

22. The smart shelf of claim 20 wherein the predetermined location is a second location and the predetermined conditions corresponding to the second location include:

23. The intelligent rack according to claim 22, wherein the controller performs the control of the sensor to obtain load bearing data of a preset position of the rack platform, specifically:

24. The intelligent rack according to any one of claims 20 to 23, wherein the controller performs the control of the sensor to obtain load bearing data of a preset position of the rack platform, in particular:

25. The intelligent shelf according to claim 24, wherein the alerting device comprises one or any combination of the following: