Abnormality inspection method, device and equipment for doll catcher, storage medium and program product

Abstract

The invention provides a doll catcher abnormity inspection method, device and equipment, a storage medium and a program product. The method comprises the following steps: acquiring actual profit information of a to-be-detected doll catcher; when the actual profit information is lower than a preset warning value, obtaining gift distribution information of the to-be-detected doll machine, the gift distribution information reflecting a gift proportion of a user of the to-be-detected doll machine; and determining an abnormal reason of the to-be-detected doll catcher based on the gift distribution information. According to the method provided by the invention, the abnormity of the doll catcher can be detected by remotely collecting and processing the operation data of the doll catcher, so that the effect of timely finding the abnormity of the doll catcher can be realized.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a method, device, equipment, storage medium and program product for abnormal inspection of claw machines. Background Art

[0002] Claw machines are common self-service entertainment equipment. Since they can be operated by themselves, operators often deploy multiple devices in multiple locations. In other words, the distribution of claw machines is characterized by a large number and scattered locations. Usually, equipment failures can be discovered through equipment self-inspection and other methods, but for non-fault-type anomalies, the equipment usually cannot discover them by itself. For example, the equipment is particularly prone to dropping gifts, which will cause the merchant to lose money for a period of time. Due to the large number of claw machines and the scattered distribution characteristics, it is difficult to inspect the claw machines. The existing technology relies on manual discovery and reporting, which makes it impossible to detect abnormalities of the claw machines in a timely manner. Summary of the invention

[0003] The present invention provides a claw machine abnormality inspection method, device, equipment, storage medium and program product, which are used to solve the defect that the abnormality detection of the claw machine in the prior art relies on manual discovery and reporting, and the abnormality of the claw machine cannot be discovered in time, so as to realize the timely detection of the abnormality of the claw machine.

[0004] The present invention provides a method for inspecting abnormalities of a claw machine, comprising: Obtain the actual profit information of the claw machine to be tested; When the actual profit information is lower than a preset warning value, obtaining the gift distribution information of the claw machine to be detected, wherein the gift distribution information reflects the gift distribution ratio of the users of the claw machine to be detected; The abnormal reason of the claw machine to be detected is determined based on the gift distribution information.

[0005] According to a method for inspecting abnormalities of a claw machine provided by the present invention, the method of determining the abnormality cause of the claw machine to be inspected based on the gift distribution information includes: When it is determined based on the gift distribution information that there is no target user among the users of the claw machine to be detected, determining that the abnormal reason of the claw machine to be detected is that the gift is abnormal; The target user is a user whose corresponding gift-giving ratio is higher than a gift-giving ratio threshold, and the gift-giving ratio threshold reflects the average gift-giving ratio of the users of the claw machine to be detected.

[0006] According to a method for inspecting abnormalities of a claw machine provided by the present invention, before determining that the abnormal cause of the claw machine to be inspected is abnormal gifts, the method comprises: When the number of users of the claw machine to be detected is higher than a preset threshold, determining the gift giving ratio threshold based on the gift giving ratio of the users of the claw machine to be detected; When the number of users of the to-be-detected claw machine is lower than the preset threshold, at least one first target claw machine is determined based on the attribute information of the to-be-detected claw machine, and the gift-giving ratio threshold is determined based on the users of the first target claw machine, and the number of users of the first target claw machine is higher than the preset threshold; The attribute information of the claw machine to be detected includes at least one of the device type, the set gift-giving ratio and the device geographical location of the claw machine to be detected.

[0007] According to a method for inspecting abnormalities of a claw machine provided by the present invention, before determining that the abnormality cause of the claw machine to be inspected is abnormal gifts, the method further includes: Based on the set gift-giving probability of the claw machine to be detected, obtaining the theoretical gift-giving probability of the claw machine to be detected; Determine theoretical profit information of the claw machine to be detected based on the theoretical probability of giving gifts of the claw machine to be detected and the gift price of the claw machine to be detected; Based on the theoretical profit information, it is determined whether the gift giving rate setting of the claw machine to be detected is abnormal.

[0008] According to a method for inspecting abnormalities of a claw machine provided by the present invention, the method of obtaining a theoretical probability of giving gifts of the claw machine to be detected based on the set probability of giving gifts of the claw machine to be detected comprises: Obtaining the device type of the claw machine to be detected, and obtaining a mapping relationship corresponding to the device type, wherein the mapping relationship reflects the relationship between the set gift-giving probability and the theoretical gift-giving probability of the claw machine; Determine a theoretical gift-giving probability of the claw machine to be detected based on the mapping relationship corresponding to the device type of the claw machine to be detected and the set gift-giving probability of the claw machine to be detected; The mapping relationship is determined based on historical data of at least one second target claw machine, and the device type of the second target claw machine is consistent with the device type of the claw machine to be detected.

[0009] According to a method for inspecting abnormal claw machines provided by the present invention, the method of obtaining actual profit information of the claw machines to be inspected includes: Obtain the number of times the claw machine to be detected is started and the number of times gifts are given within a preset time period; Based on the number of starts, the number of gifts given and the gift cost, the actual single start-up profit of the claw machine to be detected is determined as the actual profit information of the claw machine to be detected.

[0010] The present invention also provides a claw machine abnormality inspection device, comprising: A profit information acquisition module, used to obtain the actual profit information of the claw machine to be detected; A gift distribution acquisition module, used for acquiring gift distribution information of the claw machine to be detected when the actual profit information is lower than a preset warning value, wherein the gift distribution information reflects the gift distribution ratio of users of the claw machine to be detected; The abnormality cause detection module is used to determine the abnormality cause of the claw machine to be detected based on the gift distribution information.

[0011] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the abnormal inspection method for a claw machine as described above is implemented.

[0012] The present invention also provides a non-transitory computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the abnormal inspection method for a claw machine as described in any one of the above is implemented.

[0013] The present invention also provides a computer program product, including a computer program, and when the computer program is executed by a processor, the abnormal inspection method for a claw machine as described in any one of the above is implemented.

[0014] The abnormal inspection method, device, equipment, storage medium and program product of the claw machine provided by the present invention obtain the actual profit information of the claw machine to be detected, and when the actual profit information is lower than the preset warning value, obtain the gift distribution information of the claw machine to be detected. Since the gift distribution information can reflect the gift-giving ratio of the users of the claw machine to be detected, the abnormal cause of the claw machine to be detected can be determined based on the gift distribution information. In this process, the abnormality of the claw machine can be detected by remotely collecting the operating data of the claw machine for processing, thereby achieving the effect of timely discovering the abnormality of the claw machine. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 This is one of the flow charts of the abnormal inspection method for claw machines provided by the present invention.

[0017] Figure 2 This is the second flow chart of the abnormal inspection method for claw machines provided by the present invention.

[0018] Figure 3 It is a structural schematic diagram of the abnormal inspection device for claw machines provided by the present invention.

[0019] Figure 4 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] Claw machines are common self-service entertainment devices. Since they can be operated unattended, operators often deploy multiple devices in multiple locations. In other words, the distribution of claw machines is characterized by a large number and dispersed locations. Due to the large number and dispersed location of claw machines, it is difficult to detect non-fault anomalies of claw machines. The existing technology relies on manual discovery and reporting, which makes it impossible to detect non-fault anomalies of claw machines in a timely manner.

[0022] In view of the defect that the abnormality detection of claw machines in the prior art relies on manual discovery and reporting, and the abnormality of the claw machines cannot be discovered in time, the present invention provides a claw machine abnormality inspection method, device, equipment, storage medium and program product, aiming to achieve timely detection and discovery of abnormalities of claw machines.

[0023] Combine the following Figure 1-Figure 2 The present invention describes the abnormal inspection method for claw machine. Figure 1 As shown, the abnormal inspection method for claw machines includes the following steps: S110, obtaining actual profit information of the claw machine to be tested; S120, when the actual profit information is lower than the preset warning value, obtaining the gift distribution information of the claw machine to be detected, where the gift distribution information reflects the gift distribution ratio of the users of the claw machine to be detected; S130. Determine the abnormal reason of the claw machine to be detected based on the gift distribution information.

[0024] The method provided by the present invention obtains the actual profit information of the claw machine to be detected, and when the actual profit information is lower than a preset warning value, obtains the gift distribution information of the claw machine to be detected. Since the gift distribution information can reflect the gift-giving ratio of users of the claw machine to be detected, the abnormal cause of the claw machine to be detected can be determined based on the gift distribution information. In this process, the abnormality of the claw machine can be detected by remotely collecting and processing the operating data of the claw machine, thereby achieving the effect of timely discovering the abnormality of the claw machine.

[0025] The method provided by the present invention can be applied to an electronic device for abnormal inspection of claw machines. The electronic device can be an independent terminal or a module installed on a terminal. The electronic device can be connected to communicate with the claw machine to be detected, obtain the operation information of the claw machine to be detected, and based on the obtained information, determine the cause of the abnormality of the claw machine to be detected by executing the method provided by the present invention.

[0026] The claw machine responds to the user's operation and spits out gifts, which is called gift giving. It is worth noting that in the present invention, the claw machine is a general term for entertainment facilities that probabilistically give out gifts in response to the user's operation. The gifts of the claw machine are not limited to doll toys, but can be other types of gifts.

[0027] The actual profit information of the claw machine to be tested is the profit obtained by the actual operation of the claw machine to be tested. The actual profit information of the claw machine to be tested can be obtained in a variety of ways, such as by subtracting the total cost of the claw machine to be tested (including the cost of gifts, electricity bills, venue rental and other operating costs) from the total income over a period of time. Since the other costs of the claw machine (electricity bills, venue rental, etc.) except the gift cost are fixed, therefore, in a possible advance method of the method provided by the present invention, the actual profit information of the claw machine to be tested can be determined only by the gift cost and the gift situation, which can reduce the calculation complexity.

[0028] Furthermore, since the activation of the claw machine is determined by the user, and the gift of the claw machine is probabilistic, the method provided by the present invention, in order to more accurately measure the actual profit of the claw machine, obtains the actual profit based on the data of multiple activations of the claw machine to be detected to obtain the single activation profit of the claw machine to be detected. This can effectively avoid the interference of random factors on the profit information of the claw machine to be detected, while reducing the computational complexity and improving the accuracy of the actual profit measurement results of the claw machine, thereby improving the accuracy of abnormal detection of the claw machine. Specifically, the actual profit information includes the actual single activation profit, and obtaining the actual profit information of the claw machine to be detected includes: Get the number of times the claw machine to be tested is started and the number of times gifts are given within a preset time period; Based on the number of starts, the number of gifts given and the gift cost, the actual single start-up profit of the claw machine to be tested is determined as the actual profit information of the claw machine to be tested.

[0029] The preset time period can be a pre-set time period, such as one day, a few hours, etc. It is worth noting that if the number of times the claw machine to be detected is started within the preset time period does not reach a certain value, that is, the number of times the claw machine to be detected is started within the preset time period is not enough, the preset time period can be extended to obtain a sufficient amount of data to ensure the authenticity and reliability of the actual profit information. In other words, in the data used to count the actual profit information of the claw machine to be detected, the number of times the claw machine to be detected is started needs to be greater than a certain number threshold.

[0030] When the actual profit information is lower than the preset warning value, it means that the claw machine to be tested may be abnormal. The following further determines the cause of the abnormality, so that the manufacturer can make adjustments based on the cause of the abnormality.

[0031] Specifically, the abnormalities of claw machines may include various types: fault abnormality, gift rate setting abnormality, gift abnormality, and user abnormality, etc. Among them, the fault abnormality refers to the fault of the claw machine hardware or software (such as offline, unable to start), such as unable to start, unable to operate, etc. The gift rate setting abnormality is the abnormality caused by the gift rate setting of the claw machine, that is, the claw machine does not have a fault, but there is a problem with the gift rate setting. The gift abnormality refers to the abnormality caused by the gifts of the claw machine without a fault in the claw machine, such as the placement of the gifts in the claw machine or the shape of the gifts is not suitable, the difficulty of clipping out is too low, etc. The user abnormality refers to the abnormality caused by the user of the claw machine, such as encountering a professional player or the player has mastered the gift giving skills of the claw machine, etc.

[0032] In order to avoid the influence of fault anomalies on the detection of other abnormal causes, the method provided by the present invention, after eliminating the fault anomaly, performs the detection of non-fault anomalies, that is, before obtaining the actual profit information of the claw machine to be detected, including: Perform a fault detection on the claw machine to be tested to ensure that there is no fault abnormality in the claw machine to be tested.

[0033] Fault detection of the doll to be detected can be achieved through self-test software set in the doll machine.

[0034] After determining that there is no fault detection in the claw machine to be detected, if the actual profit information is lower than the preset warning value, the abnormal cause of the claw machine to be detected is determined based on the gift distribution information of the claw machine to be detected.

[0035] In order to avoid the influence of the abnormal gift rate setting on other abnormal detections, in a possible implementation, when determining the abnormal cause of the claw machine to be detected based on the gift distribution information, it is necessary to first eliminate the abnormal gift rate setting. That is, before determining that the abnormal cause of the claw machine to be detected is the gift abnormality, the method provided by the present invention also includes: The theoretical gift-giving probability of the claw machine to be detected is obtained based on the set gift-giving probability of the claw machine to be detected; Based on the theoretical probability of giving gifts of the claw machine to be tested and the gift price of the claw machine to be tested, the theoretical profit information of the claw machine to be tested is determined; Based on the theoretical profit information, determine whether there is an abnormality in the gift rate setting of the claw machine to be tested.

[0036] Generally speaking, the claw machine to be tested sets a gift-giving probability. For example, the gift-giving probability can be set by adjusting the probability of the appearance of the power clip. The gift-giving probability is the set gift-giving probability. In a possible implementation method, the set gift-giving probability can be used as the theoretical gift-giving probability to determine the theoretical profit information of the claw machine to be tested. However, through actual observation, it is found that the actual gift-giving probability of the claw machine is affected by many factors and does not match the set gift-giving probability. In order to improve the accuracy of the theoretical profit information, and then ensure the accuracy of detecting whether the claw machine to be tested has an abnormal gift-giving probability setting, the method provided by the present invention determines the theoretical gift-giving probability of the claw machine to be tested based on actual historical data statistics. The theoretical gift-giving probability is the actual average gift-giving probability of the claw machine to be tested. Specifically, the theoretical gift-giving probability of the claw machine to be tested is obtained based on the set gift-giving probability of the claw machine to be tested, including: Get the device type of the claw machine to be detected, and get the mapping relationship corresponding to the device type. The mapping relationship reflects the relationship between the set gift-giving probability and the theoretical gift-giving probability of the claw machine. Determine the theoretical gift-giving probability of the claw machine to be detected based on the mapping relationship corresponding to the device type of the claw machine to be detected and the set gift-giving probability of the claw machine to be detected; The mapping relationship is determined based on historical data of at least one second target claw machine, and the device type of the second target claw machine is consistent with the device type of the claw machine to be detected.

[0037] Through research, it is found that for claw machines of the same device type, the corresponding relationship between the set gift-giving probability and the actual average gift-giving probability is consistent. In the method provided by the present invention, the actual average gift-giving probability is used as the theoretical gift-giving probability. By statistically analyzing the actual gift-giving probability of a second target claw machine with the same device type as the claw machine to be detected (the second target claw machine may include the claw machine to be detected, or may include claw machines other than the claw machine to be detected and of the same device type as the claw machine to be detected) under the set gift-giving probability, a mapping relationship between the set gift-giving probability and the theoretical gift-giving probability of the claw machine to be detected can be obtained. When determining whether there is an abnormality in the gift-giving rate setting of the claw machine to be detected, the mapping relationship is called to obtain the theoretical gift-giving probability of the claw machine to be detected.

[0038] By multiplying the theoretical gift probability by the cost of a single gift in the claw machine, the theoretical profit information of the claw machine to be tested can be obtained. If the theoretical profit information is lower than the preset profit value, it is determined that the gift rate setting of the claw machine to be tested is abnormal, and a prompt message can be generated to prompt the reset of the gift rate probability.

[0039] In addition to the abnormal gift rate setting, abnormal gifts and abnormal users may also cause the profit of the claw machine to decrease. In the method provided by the present invention, it is determined whether the abnormal reason of the claw machine to be detected is abnormal gifts based on the gift distribution information. It is worth noting that in the method provided by the present invention, only the gift distribution information is obtained, and the specific personal information of the user is not designed. The purpose is to collect the gift situation.

[0040] Specifically, the abnormal reason of the claw machine to be detected is determined based on the gift distribution information, including: When it is determined based on the gift distribution information that the target user does not exist among the users of the claw machine to be detected, it is determined that the abnormal cause of the claw machine to be detected is abnormal gift.

[0041] The target user is a user whose corresponding gift-giving ratio is higher than the gift-giving ratio threshold. The gift-giving ratio threshold reflects the average gift-giving ratio of the users of the claw machine to be detected.

[0042] For multiple users using the same claw machine, the gift events should be evenly distributed and not concentrated on a certain user. Figure 2 As shown in the figure, when there is a target user whose gift giving ratio is higher than the gift giving ratio threshold, that is, a single user has a high gift giving rate and has received more than a certain proportion of gifts, it can be determined that the user is abnormal. In this case, it is a small number of users who have increased the overall cost of the claw machine to be tested, resulting in a decrease in profits. Figure 2 As shown, if there is no target user, that is, the gifts are not concentrated on some users, it is determined that there is an abnormality in the gifts in the claw machine to be detected, such as unreasonable placement of gifts, unreasonable gift shapes, etc., which makes it easy for the gifts in the claw machine to be detected to be clipped out. When it is detected that there is an abnormality in the gifts in the claw machine to be detected, a prompt message can be generated to prompt the adjustment of the gift placement or gift shape.

[0043] The gift giving ratio threshold reflects the average gift giving ratio of users of the claw machine to be detected. This value can be determined by quantitative statistics. The specific determination methods include: When the number of users of the claw machine to be detected is higher than a preset threshold, the gift giving ratio threshold is determined based on the gift giving ratio of the users of the claw machine to be detected; When the number of users of the claw machine to be detected is lower than a preset threshold, at least one first target claw machine is determined based on the attribute information of the claw machine to be detected, and a gift ratio threshold is determined based on the users of the first target claw machine, and the number of users of the first target claw machine is higher than the preset threshold; The attribute information of the claw machine to be detected includes at least one of the device type of the claw machine to be detected, the set gift-giving ratio, and the device's geographical location.

[0044] When the number of users of the claw machine to be detected is lower than a preset threshold, the data of the claw machine to be detected is not representative and cannot reflect the average gift-giving ratio of the real users of the claw machine to be detected. In the method provided by the present invention, when the amount of data of the claw machine to be detected is insufficient, data of a larger range is used, that is, not only limited to the data of the claw machine to be detected, but also the data of the first target claw machine can be used, and the first target claw machine can be at least one of the device type, device geographical location and gift-giving ratio of the claw machine to be detected.

[0045] Specifically, the scope of the first target claw machine can be adjusted according to the amount of data, and the scope of the first target claw machine can be determined according to the importance of the attribute information of the claw machine, and the claw machines with the attribute information consistent with the claw machine with high importance are preferentially included in the scope of the first target claw machine. When the number of users of the claw machines with the attribute information consistent with the claw machine with high importance is insufficient, the scope of the first target claw machine is expanded to the claw machines with the attribute information consistent with the claw machine with low importance. For example, when the number of users of the claw machine to be detected is sufficient (a value can be pre-set as the standard for the sufficient number of users), only the user data of the claw machine to be detected can be used, and when the number of users of the claw machine to be detected is insufficient, the claw machines with the same device type and set gift ratio as the claw machine to be detected are included in the first target claw machine. If the number of users of the claw machines with the same device type and set gift ratio as the claw machine to be detected is sufficient, there is no need to add a new first target claw machine. If it is insufficient, the claw machines with the same set gift ratio as the claw machine to be detected are included in the first target claw machine, and so on, until the number of users of the first target claw machine is sufficient.

[0046] The importance of the attribute information may be ranked as follows: a combination of device type and set gift ratio, set gift ratio, device type, device address location, and the like.

[0047] The following is a description of the abnormal inspection device for a claw machine provided by the present invention. The abnormal inspection device for a claw machine described below and the abnormal inspection method for a claw machine described above can be referred to in correspondence with each other. Figure 3 As shown, the abnormal inspection device for claw machine provided by the present invention comprises: The profit information acquisition module 310 is used to obtain the actual profit information of the claw machine to be detected; The gift distribution acquisition module 320 is used to acquire the gift distribution information of the claw machine to be detected when the actual profit information is lower than the preset warning value, and the gift distribution information reflects the gift distribution ratio of the users of the claw machine to be detected; The abnormality cause detection module 330 is used to determine the abnormality cause of the claw machine to be detected based on the gift distribution information.

[0048] Figure 4 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 4 As shown, the electronic device may include: a processor 410, a communication interface 420, a memory 430 and a communication bus 440, wherein the processor 410, the communication interface 420 and the memory 430 communicate with each other through the communication bus 440. The processor 410 may call the logic instructions in the memory 430 to execute the abnormal inspection method of the claw machine, which includes: obtaining the actual profit information of the claw machine to be detected; when the actual profit information is lower than the preset warning value, obtaining the gift distribution information of the claw machine to be detected, the gift distribution information reflects the gift distribution ratio of the users of the claw machine to be detected; and determining the abnormal cause of the claw machine to be detected based on the gift distribution information.

[0049] In addition, the logic instructions in the above-mentioned memory 430 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0050] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the claw machine abnormality inspection method provided by the above-mentioned methods, the method including: obtaining actual profit information of the claw machine to be detected; when the actual profit information is lower than a preset warning value, obtaining gift distribution information of the claw machine to be detected, the gift distribution information reflects the gift-giving ratio of users of the claw machine to be detected; and determining the abnormal cause of the claw machine to be detected based on the gift distribution information.

[0051] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, it is implemented to execute the claw machine abnormality inspection method provided by the above-mentioned methods, the method comprising: obtaining actual profit information of the claw machine to be detected; when the actual profit information is lower than a preset warning value, obtaining gift distribution information of the claw machine to be detected, the gift distribution information reflecting the gift-giving ratio of users of the claw machine to be detected; and determining the abnormal cause of the claw machine to be detected based on the gift distribution information.

[0052] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0053] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0054] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for inspecting abnormalities of claw machines, characterized in that: include: Obtain the actual profit information of the claw machine to be tested; When the actual profit information is lower than a preset warning value, obtaining the gift distribution information of the claw machine to be detected, wherein the gift distribution information reflects the gift distribution ratio of the users of the claw machine to be detected; The abnormal reason of the claw machine to be detected is determined based on the gift distribution information.

2. The abnormal inspection method for claw machines according to claim 1, characterized in that: The determining the abnormal reason of the claw machine to be detected based on the gift distribution information includes: When it is determined based on the gift distribution information that there is no target user among the users of the claw machine to be detected, determining that the abnormal reason of the claw machine to be detected is that the gift is abnormal; The target user is a user whose corresponding gift-giving ratio is higher than a gift-giving ratio threshold, and the gift-giving ratio threshold reflects the average gift-giving ratio of the users of the claw machine to be detected.

3. The abnormal inspection method for claw machine according to claim 2, characterized in that: Before determining that the abnormal reason of the claw machine to be detected is abnormal gift, the method includes: When the number of users of the claw machine to be detected is higher than a preset threshold, determining the gift giving ratio threshold based on the gift giving ratio of the users of the claw machine to be detected; When the number of users of the to-be-detected claw machine is lower than the preset threshold, at least one first target claw machine is determined based on the attribute information of the to-be-detected claw machine, and the gift-giving ratio threshold is determined based on the users of the first target claw machine, and the number of users of the first target claw machine is higher than the preset threshold; The attribute information of the claw machine to be detected includes at least one of the device type, the set gift-giving ratio and the device geographical location of the claw machine to be detected.

4. The abnormal inspection method for claw machine according to claim 1, characterized in that: Before determining that the abnormal reason of the claw machine to be detected is abnormal gift, the method further includes: Based on the set gift-giving probability of the claw machine to be detected, obtaining the theoretical gift-giving probability of the claw machine to be detected; Determine theoretical profit information of the claw machine to be detected based on the theoretical probability of giving gifts of the claw machine to be detected and the gift price of the claw machine to be detected; Based on the theoretical profit information, it is determined whether the gift giving rate setting of the claw machine to be detected is abnormal.

5. The abnormal inspection method for claw machine according to claim 4, characterized in that: The step of obtaining the theoretical gift-giving probability of the claw machine to be detected based on the gift-giving probability of the claw machine to be detected includes: Obtaining the device type of the claw machine to be detected, and obtaining a mapping relationship corresponding to the device type, wherein the mapping relationship reflects the relationship between the set gift-giving probability and the theoretical gift-giving probability of the claw machine; Determine a theoretical gift-giving probability of the claw machine to be detected based on the mapping relationship corresponding to the device type of the claw machine to be detected and the set gift-giving probability of the claw machine to be detected; The mapping relationship is determined based on historical data of at least one second target claw machine, and the device type of the second target claw machine is consistent with the device type of the claw machine to be detected.

6. The abnormal inspection method for claw machine according to claim 1, characterized in that: The step of obtaining the actual profit information of the claw machine to be detected includes: Obtain the number of times the claw machine to be detected is started and the number of times gifts are given within a preset time period; Based on the number of starts, the number of gifts given and the gift cost, the actual single start-up profit of the claw machine to be detected is determined as the actual profit information of the claw machine to be detected.

7. A claw machine abnormality inspection device, characterized in that: include: A profit information acquisition module, used to obtain the actual profit information of the claw machine to be detected; A gift distribution acquisition module, used for acquiring gift distribution information of the claw machine to be detected when the actual profit information is lower than a preset warning value, wherein the gift distribution information reflects the gift distribution ratio of users of the claw machine to be detected; The abnormality cause detection module is used to determine the abnormality cause of the claw machine to be detected based on the gift distribution information.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the abnormality inspection method for a claw machine as described in any one of claims 1 to 6 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the abnormality inspection method for claw machines according to any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the abnormality inspection method for claw machines according to any one of claims 1 to 6 is implemented.

Images