CN111754326B - Risk early warning method and device - Google Patents
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Abstract
The application discloses a risk early warning method and a risk early warning device, which are used for matching current checking data of a vault with preset risk rules and executing a corresponding coping method of target risk rules according to preset corresponding relations between the risk rules and coping methods, wherein the checking data comprise the number of checked persons, the checking efficiency of checked persons and the number of modifications of the checking result in the cash checking process, the coping method is used for early warning prompt of different types of risks, and the target risk rules are risk rules with at least one of the number of checked persons, the checking efficiency and the number of modifications as parameters, and the parameters meet preset conditions. Therefore, the method and the device match the counting data with the preset risk rules, so that the risk in the cash counting process can be effectively monitored and perceived, and timely response is made according to the corresponding response method of the risk, so that effective early warning is made on the risk in the counting process.
Description
Technical Field
The application relates to the technical field of security protection, in particular to a risk early warning method and device.
Background
The cashbox is an important place of a bank, and cash stored in the cashbox is checked regularly for safety management. However, the existing vault early warning system cannot support monitoring of the cash counting process, namely, a person counting can possibly steal the cash in the cash counting process, but the vault early warning system cannot sense risks in the cash counting process and is less likely to effectively early warn in time.
Disclosure of Invention
The application provides a risk early warning method and a risk early warning device, and aims to monitor a cash counting process in a cash vault and make effective early warning on risks existing in the counting process.
In order to achieve the above object, the present application provides the following technical solutions:
a risk early warning method comprising:
matching the current checking data of the vault with a preset risk rule; the counting data comprises the number of counting people in the cash counting process, the counting efficiency of the counting people and the number of times of modifying the cash counting result; the risk rule includes: determining that the cash registering process is at risk if at least one of the following is satisfied: the counting number of people is smaller than a first preset threshold value and is kept unchanged in a preset period; the counting efficiency is smaller than a second preset threshold value; the number of modifications is greater than a third preset threshold;
executing the corresponding coping method of the target risk rule according to the preset corresponding relation between the risk rule and the coping method; the coping method is used for carrying out early warning prompt on risks of different types; and the target risk rule takes at least one of the counting number of people, the counting efficiency and the modification times as a parameter, and the parameter meets the risk rule of a preset condition.
Optionally, the matching the current checking data of the vault with a preset risk rule includes:
acquiring current checking data of the vault from a local database;
judging whether the number of people to be checked meets the condition indicated by a first risk rule in a preset risk knowledge base or not; wherein the conditions indicated by the first risk rule include: the counting number of people is smaller than the first preset threshold value, and the counting number of people is kept unchanged within the preset period;
and under the condition that the counting number of people is smaller than the first preset threshold value and the counting number of people is unchanged within the preset period, identifying the first risk rule as the target risk rule.
Optionally, the matching the current checking data of the vault with a preset risk rule includes:
acquiring current checking data of the vault from a local database;
judging whether the counting efficiency of the counting personnel meets the condition indicated by a second risk rule in a preset risk knowledge base or not; wherein the conditions indicated by the second risk rule include: the counting efficiency is smaller than the second preset threshold value;
and under the condition that the counting efficiency is smaller than the second preset threshold value piece, identifying the first risk rule as the target risk rule.
Optionally, the matching the current checking data of the vault with a preset risk rule includes:
acquiring current checking data of the vault from a local database;
judging whether the number of times of modification of the cash counting result meets the condition indicated by a third risk rule in a preset risk knowledge base or not; wherein the conditions indicated by the third risk rule include: the number of modifications is greater than the third preset threshold;
and identifying the third risk rule as the target risk rule under the condition that the modification times are larger than the third preset threshold value.
Optionally, after matching the current checking data of the vault with a preset risk rule, the method further includes:
and displaying a prompt of no abnormality in counting the cash based on a preset interface under the condition that the counting number of people, the counting efficiency of the counting personnel and the number of times of modification of the cash counting result do not meet the condition indicated by the risk rule.
Optionally, after matching the current checking data of the vault with a preset risk rule, the method further includes:
counting the risk scores corresponding to the target risk rules according to the preset corresponding relation between the risk rules and the risk scores to obtain risk quantity;
determining a risk state of the cash counting process according to a preset corresponding relation between the risk quantity and a risk early-warning interval, wherein the risk early-warning interval is used for indicating the risk state in which the risk quantity is located, and the risk state comprises a normal state, an alert state and a dangerous state.
Optionally, after determining the risk status of the cash registering process, the method further includes:
and displaying the risk state of the cash counting process based on a preset interface.
A risk early warning device comprising:
the matching unit is used for matching the current checking data of the vault with a preset risk rule; the counting data comprises the number of counting people in the cash counting process, the counting efficiency of the counting people and the number of times of modifying the cash counting result; the risk rule includes: determining that the cash registering process is at risk if at least one of the following is satisfied: the counting number of people is smaller than a first preset threshold value and is kept unchanged in a preset period; the counting efficiency is smaller than a second preset threshold value; the number of modifications is greater than a third preset threshold;
the execution unit is used for executing the corresponding coping method of the target risk rule according to the preset corresponding relation between the risk rule and the coping method; the coping method is used for carrying out early warning prompt on risks of different types; and the target risk rule takes at least one of the counting number of people, the counting efficiency and the modification times as a parameter, and the parameter meets the risk rule of a preset condition.
A computer-readable storage medium comprising a stored program, wherein the program performs the risk early warning method.
A risk early warning device comprising: a processor, a memory, and a bus; the processor is connected with the memory through the bus;
the memory is used for storing a program, and the processor is used for running the program, wherein the risk early warning method is executed when the program runs.
According to the technical scheme, the current counting data of the cashbox are matched with the preset risk rules, wherein the counting data comprise the number of counting people in the cash counting process, the counting efficiency of the counting people and the number of times of modifying the cash counting result, and the risk rules comprise: determining that there is a risk in the cash registering process if at least one of the following is satisfied: the number of people to be checked is smaller than a first preset threshold, the checked personnel are kept unchanged within a preset period, the checking efficiency is smaller than a second preset threshold, and the number of modifications is larger than a third preset threshold. Executing a corresponding coping method of the target risk rule according to a preset corresponding relation between the risk rule and the coping method, wherein the coping method is used for carrying out early warning prompt on different types of risks, and the target risk rule is a risk rule with at least one of the number of people to be checked, the checking efficiency and the number of modification times as a parameter, and the parameter meets a preset condition. Therefore, the counting data is matched with a preset risk rule, so that the risk in the cash counting process can be effectively monitored and perceived, and the response is timely made according to a corresponding response method of the risk, so that effective early warning is carried out on the risk in the counting process.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of a risk early warning method provided in an embodiment of the present application;
fig. 2 is a schematic diagram of another risk early warning method according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a risk early warning device provided in an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
The flow described in the embodiment of the application is applied to a banking system, and specifically, can be executed by a server, and is used for monitoring a cash counting process in a vault and making effective early warning for risks existing in the counting process.
As shown in fig. 1, a schematic diagram of a risk early warning method provided in an embodiment of the present application includes the following steps:
s101: historical inventory data of the vault is obtained from the database.
Wherein the history inventorying data includes, but is not limited to: the cashbox is used for counting the number of people in the cash counting process, the counting efficiency of the counting personnel and the number of times of modifying the cash counting result.
It should be noted that the counting efficiency specifically refers to: the number of cash notes is counted per unit time (for example, 2000 cash notes are counted in 1 hour).
S102: and adopting a preset data analysis algorithm to perform data analysis on the historical checking data to obtain a risk rule.
The risk rule is used for indicating a condition of historical counting data with risk, for example, in the case that the number of counting people is smaller than a first preset threshold value and counting personnel are kept unchanged within a preset period (for example, the cash in a vault is all counted by a sheet XX), the cash counting process is at risk, or in the case that the counting efficiency of the counting personnel is smaller than a second preset threshold value, or in the case that the number of times of modification of the cash counting result is larger than a third preset threshold value, the cash counting process is at risk.
It should be noted that the preset data analysis algorithm includes, but is not limited to: a linear regression analysis algorithm, a principal component analysis algorithm, or the like.
S103: and setting a corresponding coping method and risk scores for each risk rule.
The method is used for indicating early warning prompt for different types of risks, and the risk score is used for indicating the severity of the different types of risks.
Specifically, if the cash in the cash vault is completely checked by the same checking personnel, determining that the cash checking process has risks, the corresponding coping method is as follows: prompting the responsible person of the cashbox to check the cash counting result.
It should be noted that the foregoing specific implementation is merely illustrative.
S104: and constructing a risk knowledge base based on the corresponding relation between the risk rule and the corresponding method.
The specific implementation process of constructing the risk knowledge base is common knowledge familiar to those skilled in the art, and will not be described herein.
S105: and acquiring counting data of the current cash counting process of the cash deposit.
The counting data of the current cash counting process of the cash deposit include, but are not limited to: counting the number of people, the counting efficiency of the counting personnel and the number of times of modifying the counting result of the cash.
S106: and matching the current checking data of the vault with the risk rules in the risk knowledge base by using a preset tree model, and judging whether the current checking data of the vault meets the conditions indicated by the risk rules.
If the current checking data of the vault meets the condition indicated by the risk rule, S107 is executed, otherwise S111 is executed.
Wherein the preset tree model includes but is not limited to: classification decision trees, regression decision trees, and other tree models.
It should be noted that, in this embodiment, matching the inventory data with the risk rules in the risk knowledge base specifically refers to: judging whether the number of people to be checked is smaller than a first preset threshold value, keeping the checking personnel unchanged within a preset period, judging whether the checking efficiency of the checking personnel is smaller than a second preset threshold value, and judging whether the number of times of modification of the cash checking result is larger than a third preset threshold value.
S107: and executing a coping method corresponding to the target risk rule.
The target risk rule takes at least one of the number of people to be checked, the checking efficiency and the number of modification times as a parameter, and the parameter meets the risk rule of the preset condition, specifically, the number of people to be checked is smaller than a first preset threshold value, the checking personnel is unchanged within a preset period, the checking efficiency is smaller than a second preset threshold value, and the number of modification times is larger than a third preset threshold value.
S108: and counting risk scores corresponding to the target risk rules to obtain risk quantity.
The risk scores corresponding to the target risk rules are counted, and the risk scores corresponding to the target risk rules are accumulated and summed to obtain the risk quantity.
S109: and determining the risk state of the current cash counting process of the cash in the cash vault according to the preset corresponding relation between the risk quantity and the risk early warning interval.
The risk early warning interval is used for indicating a risk state in which the risk quantity is located, and the risk state comprises a normal state, an alert state and a dangerous state.
It should be noted that, the risk severity of the dangerous state is higher than that of the alert state, and the risk severity of the alert state is higher than that of the normal state.
S110: and displaying the risk state of the current cash counting process of the cash deposit based on a preset interface.
S111: determining that the current cash counting process of the cash deposit does not have risk, and displaying a prompt of no abnormality in cash counting based on a preset interface.
In summary, by using the data analysis method, the risk rule is obtained from the historical counting data by analysis, the risk knowledge base is constructed according to the corresponding relation between the risk rule and the corresponding method, and the counting data is matched with the risk rule in the risk knowledge base, so that the risk in the cash counting process can be effectively monitored and perceived, and the response is timely made according to the corresponding method of the risk, so that the effective early warning of the risk in the counting process is realized. In addition, the risk amount of the target risk rule is counted, and the risk state is determined according to the risk amount, so that the risk state of the cash counting process can be controlled.
It should be noted that in the above embodiment, the provided risk early warning method may be summarized as a flow shown in fig. 2.
As shown in fig. 2, a schematic diagram of another risk early warning method provided in an embodiment of the present application includes the following steps:
s201: and matching the current checking data of the vault with a preset risk rule.
The counting data comprise the number of counting people in the cash counting process, the counting efficiency of the counting people and the number of times of modifying the cash counting result.
In this embodiment, the risk rule includes: determining that there is a risk in the cash registering process if at least one of the following is satisfied: the number of people to be checked is smaller than a first preset threshold value, and the number of people to be checked is kept unchanged within a preset period; the counting efficiency is smaller than a second preset threshold value; the number of modifications is greater than a third preset threshold.
Optionally, current checking data of the vault is obtained from the local database, and whether the number of checked people meets the condition indicated by the first risk rule in the preset risk knowledge base is judged. And under the condition that the number of people to be checked is smaller than a first preset threshold value and the checked personnel is unchanged within a preset period, identifying the first risk rule as a target risk rule. Wherein the conditions indicated by the first risk rule include: the number of people to be checked is smaller than a first preset threshold value, and the number of people to be checked is kept unchanged within a preset period.
Optionally, current checking data of the vault is obtained from the local database, and whether the checking efficiency of the checking personnel meets the condition indicated by the second risk rule in the preset risk knowledge base is judged. And under the condition that the counting efficiency is smaller than the second preset threshold, identifying the first risk rule as a target risk rule. Wherein the conditions indicated by the second risk rule include: the counting efficiency is smaller than a second preset threshold.
Optionally, the current counting data of the vault is obtained from the local database, and whether the number of times of modification of the cash counting result meets the condition indicated by the third risk rule in the preset risk knowledge base is judged. And under the condition that the modification times are larger than a third preset threshold value, identifying the third risk rule as a target risk rule. Wherein the conditions indicated by the third risk rule include: the number of modifications is greater than a third preset threshold.
S202: and executing the corresponding coping method of the target risk rule according to the preset corresponding relation between the risk rule and the coping method.
The method is used for carrying out early warning prompt on different types of risks, and the target risk rule is a risk rule with at least one of the number of people to be checked, the checking efficiency and the number of modification times as parameters, wherein the parameters meet preset conditions.
Optionally, under the condition that the number of people to be counted, the counting efficiency of the counting personnel and the number of times of modification of the cash counting result do not meet the conditions indicated by the risk rules, displaying the prompt of no abnormality in cash counting based on a preset interface.
Optionally, in this embodiment, risk scores corresponding to the target risk rules may be counted according to a preset correspondence between the risk rules and the risk scores, so as to obtain the risk amount. According to the preset corresponding relation between the risk quantity and the risk early warning interval, determining the risk state of the cash counting process, and displaying the risk state of the cash counting process based on a preset interface. The risk early warning interval is used for indicating a risk state in which the risk quantity is located, and the risk state comprises a normal state, an alert state and a dangerous state.
In summary, the present counting data of the vault is matched with a preset risk rule, where the counting data includes the number of counting people in the cash counting process, the counting efficiency of the counting people, and the number of times of modifying the cash counting result, and the risk rule includes: determining that there is a risk in the cash registering process if at least one of the following is satisfied: the number of people to be checked is smaller than a first preset threshold, the checked personnel are kept unchanged within a preset period, the checking efficiency is smaller than a second preset threshold, and the number of modifications is larger than a third preset threshold. Executing a corresponding coping method of the target risk rule according to a preset corresponding relation between the risk rule and the coping method, wherein the coping method is used for carrying out early warning prompt on different types of risks, and the target risk rule is a risk rule with at least one of the number of people to be checked, the checking efficiency and the number of modification times as a parameter, and the parameter meets a preset condition. Therefore, the counting data is matched with a preset risk rule, so that the risk in the cash counting process can be effectively monitored and perceived, and the response is timely made according to a corresponding response method of the risk, so that effective early warning is carried out on the risk in the counting process.
Corresponding to the risk early warning method provided by the application, the application also provides a risk early warning device.
As shown in fig. 3, a schematic structural diagram of a risk early warning device provided in an embodiment of the present application includes:
the matching unit 100 is configured to match current counting data of the vault with a preset risk rule, where the counting data includes a counting number of people in a cash counting process, a counting efficiency of the counting personnel, and a number of times of modification of a cash counting result. The risk rules include: determining that there is a risk in the cash registering process if at least one of the following is satisfied: the counting number of people is smaller than a first preset threshold value, the counting personnel are kept unchanged within a preset period, the counting efficiency is smaller than a second preset threshold value, and the number of modification times is larger than a third preset threshold value.
The specific implementation process of matching the current checking data of the vault with the preset risk rule by the matching unit 100 includes: acquiring current counting data of the vault from a local database, and judging whether the number of people to be counted meets the condition indicated by a first risk rule in a preset risk knowledge base, wherein the condition indicated by the first risk rule comprises the following steps: the number of people to be checked is smaller than a first preset threshold value, and the number of people to be checked is kept unchanged within a preset period. And under the condition that the number of people to be checked is smaller than a first preset threshold value and the checked personnel is unchanged within a preset period, identifying the first risk rule as a target risk rule.
The specific implementation process of matching the current checking data of the vault with the preset risk rule by the matching unit 100 includes: acquiring current checking data of the vault from a local database, and judging whether the checking efficiency of the checking personnel meets the condition indicated by a second risk rule in a preset risk knowledge base, wherein the condition indicated by the second risk rule comprises the following steps: the counting efficiency is smaller than a second preset threshold. And under the condition that the counting efficiency is smaller than the second preset threshold, identifying the first risk rule as a target risk rule.
The specific implementation process of matching the current checking data of the vault with the preset risk rule by the matching unit 100 includes: acquiring current counting data of the cash from a local database, and judging whether the number of times of modification of the cash counting result meets the condition indicated by a third risk rule in a preset risk knowledge base, wherein the condition indicated by the third risk rule comprises the following steps: the number of modifications is greater than a third preset threshold. And identifying the third risk rule as a target risk rule when the number of modifications is greater than a third preset threshold.
The execution unit 200 is configured to execute a coping method corresponding to a target risk rule according to a preset correspondence between the risk rule and the coping method, where the coping method is used to perform early warning prompting on different types of risks, and the target risk rule is a risk rule with at least one of the number of people to be checked, the checking efficiency, and the number of modification times as a parameter, where the parameter meets a preset condition.
The prompting unit 300 is configured to display, based on a preset interface, a prompt that the counting of the cash is abnormal, in a case where the number of people to be counted, the counting efficiency of the counting personnel, and the number of times of modification of the counting result of the cash do not satisfy the conditions indicated by the risk rules.
The determining unit 400 is configured to count risk scores corresponding to the target risk rules according to a preset correspondence between the risk rules and the risk scores, so as to obtain risk amounts. And determining a risk state of the cash counting process according to a preset corresponding relation between the risk quantity and a risk early-warning interval, wherein the risk early-warning interval is used for indicating the risk state of the risk quantity, and the risk state comprises a normal state, an alert state and a dangerous state.
The display unit 500 is configured to display a risk status of the cash registering process based on a preset interface.
In summary, the present counting data of the vault is matched with a preset risk rule, where the counting data includes the number of counting people in the cash counting process, the counting efficiency of the counting people, and the number of times of modifying the cash counting result, and the risk rule includes: determining that there is a risk in the cash registering process if at least one of the following is satisfied: the number of people to be checked is smaller than a first preset threshold, the checked personnel are kept unchanged within a preset period, the checking efficiency is smaller than a second preset threshold, and the number of modifications is larger than a third preset threshold. Executing a corresponding coping method of the target risk rule according to a preset corresponding relation between the risk rule and the coping method, wherein the coping method is used for carrying out early warning prompt on different types of risks, and the target risk rule is a risk rule with at least one of the number of people to be checked, the checking efficiency and the number of modification times as a parameter, and the parameter meets a preset condition. Therefore, the counting data is matched with a preset risk rule, so that the risk in the cash counting process can be effectively monitored and perceived, and the response is timely made according to a corresponding response method of the risk, so that effective early warning is carried out on the risk in the counting process.
The application also provides a computer readable storage medium, wherein the computer readable storage medium comprises a stored program, and the program executes the risk early warning method provided by the application.
The application also provides a risk early warning device, comprising: a processor, a memory, and a bus. The processor is connected with the memory through a bus, the memory is used for storing a program, and the processor is used for running the program, wherein the risk early warning method provided by the application is executed when the program runs, and the method comprises the following steps:
matching the current checking data of the vault with a preset risk rule; the counting data comprises the number of counting people in the cash counting process, the counting efficiency of the counting people and the number of times of modifying the cash counting result; the risk rule includes: determining that the cash registering process is at risk if at least one of the following is satisfied: the counting number of people is smaller than a first preset threshold value and is kept unchanged in a preset period; the counting efficiency is smaller than a second preset threshold value; the number of modifications is greater than a third preset threshold;
executing the corresponding coping method of the target risk rule according to the preset corresponding relation between the risk rule and the coping method; the coping method is used for carrying out early warning prompt on risks of different types; and the target risk rule takes at least one of the counting number of people, the counting efficiency and the modification times as a parameter, and the parameter meets the risk rule of a preset condition.
Optionally, the matching the current checking data of the vault with a preset risk rule includes:
acquiring current checking data of the vault from a local database;
judging whether the number of people to be checked meets the condition indicated by a first risk rule in a preset risk knowledge base or not; wherein the conditions indicated by the first risk rule include: the counting number of people is smaller than the first preset threshold value, and the counting number of people is kept unchanged within the preset period;
and under the condition that the counting number of people is smaller than the first preset threshold value and the counting number of people is unchanged within the preset period, identifying the first risk rule as the target risk rule.
Optionally, the matching the current checking data of the vault with a preset risk rule includes:
acquiring current checking data of the vault from a local database;
judging whether the counting efficiency of the counting personnel meets the condition indicated by a second risk rule in a preset risk knowledge base or not; wherein the conditions indicated by the second risk rule include: the counting efficiency is smaller than the second preset threshold value;
and under the condition that the counting efficiency is smaller than the second preset threshold value piece, identifying the first risk rule as the target risk rule.
Optionally, the matching the current checking data of the vault with a preset risk rule includes:
acquiring current checking data of the vault from a local database;
judging whether the number of times of modification of the cash counting result meets the condition indicated by a third risk rule in a preset risk knowledge base or not; wherein the conditions indicated by the third risk rule include: the number of modifications is greater than the third preset threshold;
and identifying the third risk rule as the target risk rule under the condition that the modification times are larger than the third preset threshold value.
Optionally, after matching the current checking data of the vault with a preset risk rule, the method further includes:
and displaying a prompt of no abnormality in counting the cash based on a preset interface under the condition that the counting number of people, the counting efficiency of the counting personnel and the number of times of modification of the cash counting result do not meet the condition indicated by the risk rule.
Optionally, after matching the current checking data of the vault with a preset risk rule, the method further includes:
counting the risk scores corresponding to the target risk rules according to the preset corresponding relation between the risk rules and the risk scores to obtain risk quantity;
determining a risk state of the cash counting process according to a preset corresponding relation between the risk quantity and a risk early-warning interval, wherein the risk early-warning interval is used for indicating the risk state in which the risk quantity is located, and the risk state comprises a normal state, an alert state and a dangerous state.
Optionally, after determining the risk status of the cash registering process, the method further includes:
and displaying the risk state of the cash counting process based on a preset interface.
The functions described in the methods of the present application, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computing device readable storage medium. Based on such understanding, a portion of the embodiments of the present application that contributes to the prior art or a portion of the technical solution may be embodied in the form of a software product stored in a storage medium, comprising several instructions for causing a computing device (which may be a personal computer, a server, a mobile computing device or a network device, etc.) to perform all or part of the steps of the methods 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, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, so that the same or similar parts between the embodiments are referred to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A risk early warning method, comprising:
matching the current checking data of the treasury with a risk rule in a preset risk knowledge base by using a preset tree model; the counting data comprises the number of counting people in the cash counting process, the counting efficiency of the counting people and the number of times of modifying the cash counting result; the risk rule includes: determining that the cash registering process is at risk if at least one of the following is satisfied: the counting number of people is smaller than a first preset threshold value and is kept unchanged in a preset period; the counting efficiency is smaller than a second preset threshold value; the number of modifications is greater than a third preset threshold;
executing the corresponding coping method of the target risk rule according to the preset corresponding relation between the risk rule and the coping method; the coping method is used for carrying out early warning prompt on risks of different types; the target risk rule is the risk rule taking at least one of the counting number, the counting efficiency and the modification times as a parameter, wherein the parameter meets a preset condition;
the method further comprises the steps of:
acquiring historical checking data of the vault from the database;
performing data analysis on the historical inventory data by adopting a preset data analysis algorithm to obtain risk rules, and setting corresponding coping methods and risk scores for each risk rule;
and constructing a risk knowledge base based on the corresponding relation between the risk rule and the corresponding method.
2. The method of claim 1, wherein matching the current inventory data of the vault with a preset risk rule comprises:
acquiring current checking data of the vault from a local database;
judging whether the number of people to be checked meets the condition indicated by a first risk rule in a preset risk knowledge base or not; wherein the conditions indicated by the first risk rule include: the counting number of people is smaller than the first preset threshold value, and the counting number of people is kept unchanged within the preset period;
and under the condition that the counting number of people is smaller than the first preset threshold value and the counting number of people is unchanged within the preset period, identifying the first risk rule as the target risk rule.
3. The method of claim 1, wherein matching the current inventory data of the vault with a preset risk rule comprises:
acquiring current checking data of the vault from a local database;
judging whether the counting efficiency of the counting personnel meets the condition indicated by a second risk rule in a preset risk knowledge base or not; wherein the conditions indicated by the second risk rule include: the counting efficiency is smaller than the second preset threshold value;
and under the condition that the counting efficiency is smaller than the second preset threshold value piece, identifying the second risk rule as the target risk rule.
4. The method of claim 1, wherein matching the current inventory data of the vault with a preset risk rule comprises:
acquiring current checking data of the vault from a local database;
judging whether the number of times of modification of the cash counting result meets the condition indicated by a third risk rule in a preset risk knowledge base or not; wherein the conditions indicated by the third risk rule include: the number of modifications is greater than the third preset threshold;
and identifying the third risk rule as the target risk rule under the condition that the modification times are larger than the third preset threshold value.
5. The method of claim 1, wherein after matching the current inventory data of the vault with a preset risk rule, further comprising:
and displaying a prompt of no abnormality in counting the cash based on a preset interface under the condition that the counting number of people, the counting efficiency of the counting personnel and the number of times of modification of the cash counting result do not meet the condition indicated by the risk rule.
6. The method of claim 1, wherein after matching the current inventory data of the vault with a preset risk rule, further comprising:
counting the risk scores corresponding to the target risk rules according to the preset corresponding relation between the risk rules and the risk scores to obtain risk quantity;
determining a risk state of the cash counting process according to a preset corresponding relation between the risk quantity and a risk early-warning interval, wherein the risk early-warning interval is used for indicating the risk state in which the risk quantity is located, and the risk state comprises a normal state, an alert state and a dangerous state.
7. The method of claim 6, wherein after determining the risk status of the cash registering process, further comprising:
and displaying the risk state of the cash counting process based on a preset interface.
8. A risk early warning device, comprising:
the matching unit is used for matching the current checking data of the vault with the risk rules in a preset risk knowledge base by using a preset tree model; the counting data comprises the number of counting people in the cash counting process, the counting efficiency of the counting people and the number of times of modifying the cash counting result; the risk rule includes: determining that the cash registering process is at risk if at least one of the following is satisfied: the counting number of people is smaller than a first preset threshold value and is kept unchanged in a preset period; the counting efficiency is smaller than a second preset threshold value; the number of modifications is greater than a third preset threshold;
the execution unit is used for executing the corresponding coping method of the target risk rule according to the preset corresponding relation between the risk rule and the coping method; the coping method is used for carrying out early warning prompt on risks of different types; the target risk rule is the risk rule taking at least one of the counting number, the counting efficiency and the modification times as a parameter, wherein the parameter meets a preset condition;
further comprises:
the acquisition module is used for acquiring historical checking data of the vault from the database;
the construction module is used for carrying out data analysis on the historical checking data by adopting a preset data analysis algorithm to obtain risk rules, setting corresponding coping methods and risk scores for each risk rule, and constructing a risk knowledge base based on the corresponding relation between the risk rules and the coping methods.
9. A computer-readable storage medium, characterized in that the computer-readable storage medium comprises a stored program, wherein the program performs the risk early warning method of any one of claims 1-7.
10. A risk early warning device, comprising: a processor, a memory, and a bus; the processor is connected with the memory through the bus;
the memory is used for storing a program, and the processor is used for running the program, wherein the program executes the risk early warning method according to any one of claims 1 to 7.
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