CN110969554A - Security monitoring method, security monitoring equipment and computer readable storage medium - Google Patents
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Abstract
The invention discloses a security monitoring method, a security monitoring device and a computer readable storage medium, wherein the method comprises the following steps: periodically acquiring the consumption of living resources of a target monitoring object in a detection period; judging whether the consumption of the living resources of the target monitoring object in the current detection period is abnormal or not according to the current value of the consumption of the living resources of the target monitoring object in the current detection period and a normally distributed function of the consumption obtained in advance; the normal distribution function of the consumption is obtained by calculation according to the historical value of the consumption in a preset historical time period; when the consumption of the living resources of the target monitoring object in the current detection period is abnormal, the target monitoring object is subjected to abnormal alarm, the potential safety hazard in the target monitoring object can be detected based on the consumption of the living resources of the target monitoring object, and the serious safety accident is avoided.
Description
Technical Field
The invention relates to the technical field of security, in particular to a security monitoring method, security monitoring equipment and a computer readable storage medium.
Background
Communities, as the basic unit of a city, are representatives of government service embodiments. The smart earth is composed of smart cities, and smart communities are important units of smart cities. The community security is one of the core functions of the smart community. Currently, the community security system mainly adopts the forms of video monitoring, gate machines, entrance guard and the like to supervise the public area in the community. However, an effective identification means is not available for the potential safety hazard (such as water and gas leakage) occurring in the target monitored object (such as a community house), and the potential safety hazard in the target monitored object cannot be detected, which is likely to cause a serious safety accident.
Disclosure of Invention
The invention mainly aims to provide a security monitoring method, security monitoring equipment and a computer readable storage medium, so as to solve the problem that the potential safety hazard in a target monitored object cannot be detected and serious safety accidents are easily caused.
In order to achieve the above object, the present invention provides a security monitoring method, comprising:
periodically acquiring the consumption of living resources of a target monitoring object in a detection period;
judging whether the consumption of the living resources of the target monitoring object in the current detection period is abnormal or not according to the current value of the consumption of the living resources of the target monitoring object in the current detection period and a normally distributed function of the consumption obtained in advance; the normal distribution function of the consumption is obtained by calculation according to the historical value of the consumption in a preset historical time period;
and when the consumption of the living resources of the target monitoring object in the current detection period is abnormal, performing abnormal alarm on the target monitoring object.
The invention also provides security monitoring equipment which comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein the steps of the security monitoring method are realized when the processor executes the computer program.
The invention further provides a computer readable storage medium, which stores a computer program, and the computer program realizes the steps of the security monitoring method when being executed by a processor.
The scheme of the invention at least comprises the following beneficial effects:
in the embodiment of the invention, the consumption of the living resources of the target monitoring object in the detection period with the preset duration is periodically obtained, whether the consumption of the living resources of the target monitoring object in the current detection period is abnormal or not is judged according to the current value of the consumption and the normally distributed function of the consumption obtained in advance, and when the consumption of the living resources of the target monitoring object in the current detection period is abnormal, the potential safety hazard in the target monitoring object is determined, the abnormal alarm is carried out on the target monitoring object, so that related personnel are informed to take corresponding measures, and the serious safety accident is avoided.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
FIG. 1 is a diagram of a network architecture in accordance with an embodiment of the present invention;
fig. 2 is a flowchart of a security monitoring method according to an embodiment of the present invention;
FIG. 3 is a sub-flowchart of step 22 of FIG. 2 in an exemplary embodiment of the present invention;
FIG. 4 is a flowchart of step 32 of FIG. 3 in an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a security monitoring device provided in an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The following description will first be made by way of example with reference to the accompanying drawings, in which the aspects of the embodiments of the present application may be applied.
As shown in fig. 1, the network architecture relates to a system server, a first internet of things sensing device for acquiring the consumption of water in a target monitoring object, a second internet of things sensing device on an electricity meter for acquiring the consumption of electricity in the target monitoring object, and a third internet of things sensing device for acquiring the consumption of gas in the target monitoring object. The target monitoring object can be a specific area, such as a certain house; the system server can be understood as a server executing a security monitoring method and is mainly used for receiving related consumption data sent by each Internet of things sensing device, detecting whether potential safety hazards exist in a target monitoring object according to the received consumption data, and performing abnormal alarm on the target monitoring object when the potential safety hazards exist in the target monitoring object so as to inform related personnel to take countermeasures and avoid causing serious safety accidents.
Wherein, above-mentioned first thing networking sensing equipment can be for directly setting up the water yield sensor on the water gauge, and second thing networking sensing equipment can be for directly setting up the electric quantity sensor on the ammeter, and third thing networking sensing equipment can be for directly setting up the gas flow sensor on gas table, and first thing networking sensing equipment, second thing networking sensing equipment and third thing networking sensing equipment can also be through directly acquireing corresponding consumption data from water electric gas platform certainly.
As shown in fig. 2, a specific embodiment of the present invention provides a security monitoring method, including:
and step 21, periodically acquiring the consumption of the living resources of the target monitoring object in the detection period.
Where, in particular embodiments of the present invention, periodic refers to an amount that occurs periodically or at intervals, such as one period per day; the detection period is a detection period having a predetermined duration, such as 8 to 22 points. Namely, the consumption of living resources of the target monitoring object in the detection period is obtained in each period, for example, the consumption of living resources of the target monitoring object in 8 o 'clock to 22 o' clock is obtained every day, so that the potential safety hazard in the target monitoring object is detected based on the consumption, and the occurrence of serious safety accidents is avoided.
It should be noted that the living resources refer to resources required by the user for the life, such as water, electricity, gas, and the like. It is understood that the living resources in the embodiment of the present invention are not limited to water, electricity, and gas, but may be other living resources.
The normal distribution function of the consumption is calculated according to the historical value of the consumption in the preset historical time period. Specifically, the current value of the consumption amount refers to a value of the consumption amount of the living resource of the target monitoring object in the current detection period; the preset historical time period refers to a period of time before the current time, such as the previous 90 days, and the historical value of the consumption in the preset historical time period refers to the value of the consumption of the living resources of the target monitoring object in each detection period in the preset historical time period, such as the value of the consumption in 8 to 22 points per day in the previous 90 days. It should be noted that, the preset historical time period is set to a time period before the current time, so that the validity of the normal distribution function can be ensured, and the accuracy of judging whether the consumption of the living resources of the target monitoring object is abnormal in the current detection period is improved.
It should be noted that the normal distribution function is mainly used for presenting the distribution of the living resource consumption of the target monitoring object, so as to detect whether the living resource consumption of the target monitoring object is abnormal in the current detection period.
Specifically, in the specific embodiment of the present invention, the normal distribution function of the consumption may be obtained by fitting the historical value of the consumption in the preset historical time period. It can be understood that, when the number of the living resources is multiple, the historical value of the consumption of the living resource in the preset historical time period needs to be fitted for each living resource to obtain the normal distribution function of the consumption of the living resource, so as to accurately detect whether the consumption of the living resource of the target monitoring object in the current detection period is abnormal.
In the embodiment of the present invention, it may be determined whether the consumption of the living resource of the target monitoring object in the current detection period is abnormal by directly determining whether the current value of the consumption of the living resource is on both sides of the normal distribution function of the consumption (because if the current value of the consumption is on both sides of the normal distribution function of the consumption, it indicates that the consumption is the current value, the probability that the consumption is the current value is very small, and the consumption of the living resource of the target monitoring object in the current detection period is abnormal), it may further calculate the sum of all the probabilities that the consumption exceeds the current value according to the normal distribution function of the consumption of the living resource, determine an abnormal consumption detection value (e.g. the following abnormal total consumption detection value) for detecting whether the consumption is abnormal based on the sum, and finally determine the abnormal consumption detection value by comparing the abnormal consumption detection value with the abnormal consumption detection threshold (e.g. the following abnormal total consumption detection threshold) and determine the target monitoring pair by comparing the abnormal Such as whether the consumption of the living resources in the current detection period is abnormal (wherein if the consumption abnormal detection value is greater than the consumption abnormal detection threshold value, it indicates that the consumption of the living resources in the current detection period of the target monitoring object is abnormal). Of course, the specific manner for determining whether the consumption of the living resources of the target monitoring object in the current detection period is abnormal will be described in detail later.
And step 23, performing abnormity warning on the target monitoring object.
In the specific embodiment of the invention, when the consumption of the living resources of the target monitoring object in the current detection period is abnormal, the target monitoring object is subjected to abnormal alarm, and related personnel are reminded to take corresponding measures, so that serious safety accidents are avoided.
Specifically, in the specific embodiment of the present invention, there are various manners for performing an abnormality warning on the target monitoring object, such as voice reminding (for example, a message for prompting that the consumption of the living resources in the target monitoring object is abnormal and there is a potential safety hazard is broadcasted through a preset broadcasting device), display screen text display (for example, a message for prompting that the consumption of the living resources in the target monitoring object is abnormal and there is a potential safety hazard is displayed through a preset display screen), and the like.
The following describes a specific implementation manner of determining whether the consumption of the living resources of the target monitoring object in the current detection period is abnormal or not and performing an abnormal alarm on the target monitoring object when the consumption is abnormal in the embodiment of the present application with reference to the related drawings.
Specifically, the number of the living resources is at least one, and the normal distribution function of the consumption amount includes a normal distribution function of the consumption amount of the living resources calculated according to a historical value of each consumption amount in a preset historical time period. Accordingly, as shown in fig. 3, the specific implementation of step 22 includes the following steps:
and step 31, respectively aiming at each living resource in the living resources, determining the sum of the probabilities that the consumption amount of the living resources exceeds the current value of the consumption amount of the living resources in the normal distribution function according to the normal distribution function of the consumption amount of the living resources.
Specifically, in a specific embodiment of the present invention, for each living resource, the sum of the probabilities that the consumption amount of the living resource exceeds the current value of the consumption amount of the living resource in the normal distribution function of the living resource refers to the sum of all the probabilities that the consumption amount of the living resource exceeds the current value of the consumption amount of the living resource in the normal distribution function of the living resource, that is, the occurrence probability that the consumption amount of the living resource exceeds the current value.
And step 32, judging whether the consumption of all the living resources of the target monitoring object in the current detection period is abnormal or not according to the calculated sum.
When all living resources include one or more of water, electricity and gas, the specific implementation manner of the step 32 is as follows: when the sum of the probabilities that the water consumption exceeds the current value of the water consumption in the normal distribution function of the water consumption is smaller than a first preset abnormal threshold value, determining that the water consumption of the target monitoring object in the current detection period is abnormal, otherwise, determining that the water consumption of the target monitoring object in the current detection period is normal; when the sum of the probabilities that the electricity consumption exceeds the current value of the electricity consumption in the normal distribution function of the electricity consumption is smaller than a first preset abnormal threshold value, determining that the electricity consumption of the target monitoring object in the current detection period is abnormal, and otherwise, determining that the electricity consumption of the target monitoring object in the current detection period is normal; and when the sum of the probabilities that the consumption of the gas exceeds the current value of the consumption of the gas in the normal distribution function of the consumption of the gas is smaller than a first preset abnormal threshold value, determining that the consumption of the gas of the target monitoring object in the current detection period is abnormal, otherwise, determining that the consumption of the gas of the target monitoring object in the current detection period is normal.
Wherein, in the specific embodiment of the present invention, for convenience of description and understanding, the sum of probabilities that the consumption amount of water exceeds the current value of the consumption amount of water in the normal distribution function of the consumption amount of water is denoted as xwIn the normal distribution function of the power consumption, the sum of the probabilities that the power consumption exceeds the current value of the power consumption is represented as xeAnd simultaneously recording the sum of the probability that the consumption of the gas exceeds the current value of the consumption of the gas in the normal distribution function of the consumption of the gas as xgIn addition, the first preset abnormal threshold may be set according to the actual situation of the target monitored object, and may be generally 2%.
When x is to be mentionedwIf the water consumption is less than 2%, the water consumption of the target monitoring object in the current detection period is very large, namely the water consumption is abnormal and exceeds a normal standard, and the water running condition possibly occurs in the target monitoring object. And correspondingly, the above step 23 carries out exception for the target monitored objectThe specific implementation mode of the frequent alarm is as follows: outputting abnormal alarm information for prompting that the water consumption of the target monitoring object in the current detection period exceeds a normal standard so as to remind related personnel to go to the target monitoring object to check, and taking corresponding measures in time so as to avoid water resource waste, damage of objects (such as furniture and the like) in the target monitoring object, water leakage and the like and avoid causing serious safety zone accidents.
When x iseIf the current consumption is less than 2%, the electricity consumption of the target monitoring object in the current detection period is very large, namely the electricity consumption is abnormal and exceeds a normal standard, and the target monitoring object may have an electric leakage condition. And correspondingly, in this moment, in step 23, the specific implementation manner of performing the abnormal alarm on the target monitored object is as follows: and outputting abnormal alarm information for prompting that the electricity consumption of the target monitoring object exceeds a normal standard in the current detection period so as to remind related personnel to go to the target monitoring object to check, and taking corresponding measures in time so as to avoid causing electricity resource waste, endangering the safety of personnel in the target monitoring object and the like and avoid causing serious safety zone accidents.
When x isgIf the gas consumption is less than 2%, the gas consumption of the target monitoring object in the current detection period is very large, namely the gas consumption is abnormal and exceeds the normal standard, and the gas leakage condition possibly occurs in the target monitoring object. And correspondingly, in this moment, in step 23, the specific implementation manner of performing the abnormal alarm on the target monitored object is as follows: and outputting abnormal alarm information for prompting that the consumption of the gas of the target monitoring object in the current detection period exceeds a normal standard so as to remind related personnel to go to the target monitoring object to check, and taking corresponding measures in time so as to avoid waste of gas resources, endanger the safety of the personnel in the target monitoring object and the like and avoid causing serious safety zone accidents.
Wherein, when all living resources include water, electricity and gas, as shown in fig. 4, the specific implementation manner of the step 32 is:
and step 41, acquiring the total consumption abnormal detection value of the target monitoring object in the current detection period according to the sum of the probabilities that the water consumption exceeds the current value of the water consumption in the normal distribution function of the water consumption, the electricity consumption exceeds the current value of the electricity consumption in the normal distribution function of the electricity consumption, and the gas consumption exceeds the current value of the gas consumption in the normal distribution function of the gas consumption.
In an embodiment of the present invention, the following formula may be used:
k＝(|100×xw-50|+|100×xe-50|+|100×xg-50|)/150；
and calculating to obtain the abnormal detection value of the total consumption of the target monitoring object in the current detection period. Where k denotes a total consumption amount abnormality detection value, xwThe sum of probabilities that the water consumption exceeds the current value of the water consumption in a normal distribution function representing the water consumption, xeSum of probabilities that the amount of electricity consumed exceeds a current value of the amount of electricity consumed in a normal distribution function representing the amount of electricity consumed, xgAnd a sum of probabilities that the consumption amount of the gas exceeds a current value of the consumption amount of the gas in the normal distribution function representing the consumption amount of the gas. It should be noted that, as the value of k approaches 1, x is indicated as can be seen from the above formula for calculating kw、xeAnd xgThe smaller the both, i.e., the greater the likelihood of an abnormality.
And 42, acquiring a total consumption quantity abnormal detection threshold value of the target monitoring object in the current detection period according to a preset threshold value dynamic calculation formula.
Wherein, in the embodiment of the invention, the formula can be used
The method comprises the steps of obtaining a total consumption quantity abnormal detection threshold value of a target monitoring object in a current detection period, wherein the total consumption quantity abnormal detection threshold value is represented, p represents a preset detection threshold value, u and j are constants, p belongs to [ u, j ], u, j belongs to (0, 1), α represents a threshold value change factor, the threshold value change factor is mainly related to the variation of the temperature of the environment where the target monitoring object is located and the variation of population in the target monitoring object, and 0 & lt α & lt 1.
And 43, judging whether the abnormal detection value of the total consumption is larger than the abnormal detection threshold value of the total consumption, executing the step 44 when the abnormal detection value of the total consumption is larger than the abnormal detection threshold value of the total consumption, and executing the step 45 when the abnormal detection value of the total consumption is smaller than or equal to the abnormal detection threshold value of the total consumption.
And 44, determining that the consumption of all the living resources of the target monitoring object in the current detection period is abnormal.
And step 45, determining that the consumption of all the living resources of the target monitoring object in the current detection period is normal.
In an embodiment of the present invention, when determining that the consumption of all living resources of the target monitoring object in the current detection period is abnormal, x is required to be combinedw、xe、xgAnd carrying out abnormal alarm on the target monitoring object according to the size of the second preset abnormal threshold.
Specifically, in step 23, the specific implementation manner of performing the abnormal alarm on the target monitored object is as follows: when the sum of the probabilities that the water consumption exceeds the current value of the water consumption in the normal distribution function of the water consumption is larger than a second preset abnormal threshold, or the sum of the probabilities that the electricity consumption exceeds the current value of the electricity consumption in the normal distribution function of the electricity consumption is larger than the second preset abnormal threshold, or the sum of the probabilities that the gas consumption exceeds the current value of the gas consumption in the normal distribution function of the gas consumption is larger than the second preset abnormal threshold, outputting abnormal alarm information for prompting that the water, electricity and gas consumption of a target monitoring object is too low in the current detection period; and when the sum of the probabilities that the water consumption exceeds the current value of the water consumption in the normal distribution function of the water consumption is less than or equal to a second preset abnormal threshold, the sum of the probabilities that the electricity consumption exceeds the current value of the electricity consumption in the normal distribution function of the electricity consumption is less than or equal to the second preset abnormal threshold, and the sum of the probabilities that the gas consumption exceeds the current value of the gas consumption in the normal distribution function of the gas consumption is less than or equal to the second preset abnormal threshold, outputting abnormal alarm information for prompting that the water, electricity and gas consumption of the target monitoring object is too high in the current detection period.
Wherein, when xwGreater than a second predetermined anomaly threshold, or, xeGreater than a second predetermined anomaly threshold, or xgWhen the abnormal threshold value is larger than the second preset abnormal threshold value, the fact that the consumption of water, electricity and gas of the target monitoring object in the current detection period is too low is indicated, abnormal alarm information used for prompting that the consumption of water, electricity and gas of the target monitoring object in the current detection period is too low is output at the moment, relevant personnel can be timely reminded to go to the target monitoring object to check, corresponding countermeasures are taken, accidents of personnel in the target monitoring object are avoided, timely treatment cannot be achieved (when accidents such as falling injury occur to personnel, the use of water, electricity and gas can be reduced probably due to inconvenient actions), and further serious safety accidents are avoided. The second preset abnormal threshold may be set according to actual conditions, and may be generally 0.5.
When x iswLess than or equal to a second preset abnormal threshold value xeWhen the value is less than or equal to the second preset abnormal threshold value and x is less than or equal to the second preset abnormal threshold value, the fact that the consumption of water, electricity and gas of the target monitoring object in the current detection period is too high is indicated (at this moment, the phenomena of water leakage, gas leakage, electric leakage and the like may occur in the target monitoring object), at this moment, abnormal alarm information used for prompting that the consumption of water, electricity and gas of the target monitoring object in the current detection period is too high is output, relevant personnel can be timely reminded to go to the target monitoring object to check, corresponding countermeasures are taken, so that the safety of personnel in the target monitoring object is not endangered, and further serious safety accidents are avoided.
Therefore, in the specific embodiment of the invention, the consumption of the living resources of the target monitoring object in the detection period with the preset duration is periodically obtained, whether the consumption of the living resources of the target monitoring object in the current detection period is abnormal or not is judged according to the current value of the consumption and the normally distributed function of the consumption obtained in advance, and when the consumption of the living resources of the target monitoring object in the current detection period is abnormal, the potential safety hazard exists in the target monitoring object is determined, the target monitoring object is subjected to abnormal alarm to inform related personnel to take corresponding measures, so that serious safety accidents are avoided.
In addition, as shown in fig. 5, the embodiment of the present invention further provides a security monitoring device, where the security monitoring device 5 includes a memory 51, a processor 52, and a computer program 53 stored in the memory 51 and executable on the processor 52, and when the processor 52 executes the computer program 53, the steps of the security monitoring method described above are implemented.
Specifically, the processor 52 implements the following steps when executing the computer program 53: periodically acquiring the consumption of living resources of a target monitoring object in a detection period; judging whether the consumption of the living resources of the target monitoring object in the current detection period is abnormal or not according to the current value of the consumption of the living resources of the target monitoring object in the current detection period and a normally distributed function of the consumption obtained in advance; and when the consumption of the living resources of the target monitoring object in the current detection period is abnormal, performing abnormal alarm on the target monitoring object. The normal distribution function of the consumption is calculated according to the historical value of the consumption in the preset historical time period.
Optionally, the processor 52 further implements the following steps when executing the computer program 53: and fitting the historical value of the consumption in a preset historical time period to obtain a normal distribution function of the consumption.
Optionally, the number of the living resources is at least one, the normal distribution function of the consumption amount includes a normal distribution function of the consumption amount of the living resources calculated according to a historical value of each consumption amount in a preset historical time period, and the processor 52 further implements the following steps when executing the computer program 53: respectively aiming at each living resource in the living resources, determining the sum of the probabilities that the consumption of the living resources exceeds the current value of the consumption of the living resources in the normal distribution function according to the normal distribution function of the consumption of the living resources; and judging whether the consumption of all the living resources of the target monitoring object in the current detection period is abnormal or not according to the sum obtained by calculation.
Optionally, all living resources include one or more of water, electricity and gas; the processor 52, when executing the computer program 53, further realizes the following steps: when the sum of the probabilities that the water consumption exceeds the current value of the water consumption in the normal distribution function of the water consumption is smaller than a first preset abnormal threshold value, determining that the water consumption of the target monitoring object in the current detection period is abnormal, otherwise, determining that the water consumption of the target monitoring object in the current detection period is normal; when the sum of the probabilities that the electricity consumption exceeds the current value of the electricity consumption in the normal distribution function of the electricity consumption is smaller than a first preset abnormal threshold value, determining that the electricity consumption of the target monitoring object in the current detection period is abnormal, and otherwise, determining that the electricity consumption of the target monitoring object in the current detection period is normal; and when the sum of the probabilities that the consumption of the gas exceeds the current value of the consumption of the gas in the normal distribution function of the consumption of the gas is smaller than a first preset abnormal threshold value, determining that the consumption of the gas of the target monitoring object in the current detection period is abnormal, otherwise, determining that the consumption of the gas of the target monitoring object in the current detection period is normal.
Optionally, when the sum of the probabilities that the consumption amount of water exceeds the current value of the consumption amount of water in the normal distribution function of the consumption amount of water is smaller than the first preset abnormal threshold, the processor 52 executes the computer program 53 to further implement the following steps: and outputting abnormal alarm information for prompting that the water consumption of the target monitoring object exceeds a normal standard in the current detection period.
Optionally, when the sum of the probabilities that the consumption of electricity exceeds the current value of the consumption of electricity in the normal distribution function of the consumption of electricity is smaller than the first preset abnormality threshold, the processor 52 executes the computer program 53 to further implement the following steps: and outputting abnormal alarm information for prompting that the consumption of electricity of the target monitoring object in the current detection period exceeds a normal standard.
Optionally, when the sum of the probabilities that the consumption amount of the gas exceeds the current value of the consumption amount of the gas in the normal distribution function of the consumption amount of the gas is smaller than the first preset abnormal threshold, the processor 52 further implements the following steps when executing the computer program 53: and outputting abnormal alarm information for prompting that the consumption of the gas of the target monitoring object in the current detection period exceeds a normal standard.
Optionally, all living resources include water, electricity and gas, and the processor 52 executes the computer program 53 to further implement the following steps: acquiring a total consumption abnormal detection value of a target monitoring object in a current detection period according to the sum of probabilities that the water consumption exceeds the current value of the water consumption in the normal distribution function of the water consumption, the electricity consumption exceeds the current value of the electricity consumption in the normal distribution function of the electricity consumption, and the gas consumption exceeds the current value of the gas consumption in the normal distribution function of the gas consumption; acquiring a total consumption quantity abnormal detection threshold value of a target monitored object in a current detection period according to a preset threshold value dynamic calculation formula; judging whether the total consumption abnormal detection value is larger than a total consumption abnormal detection threshold value or not; when the total consumption abnormal detection value is larger than the total consumption abnormal detection threshold value, determining that the consumption of all the living resources of the target monitoring object in the current detection period is abnormal; and when the total consumption quantity abnormal detection value is smaller than or equal to the total consumption quantity abnormal detection threshold value, determining that the consumption quantity of all the living resources of the target monitoring object in the current detection period is normal.
Optionally, the processor 52 further implements the following steps when executing the computer program 53: by the formula:
k＝(|100×xw-50|+|100×xe-50|+|100×xg-50|)/150；
calculating to obtain the total elimination of the target monitoring object in the current detection periodAn abnormal charge detection value; where k denotes a total consumption amount abnormality detection value, xwThe sum of probabilities that the water consumption exceeds the current value of the water consumption in a normal distribution function representing the water consumption, xeSum of probabilities that the amount of electricity consumed exceeds a current value of the amount of electricity consumed in a normal distribution function representing the amount of electricity consumed, xgAnd a sum of probabilities that the consumption amount of the gas exceeds a current value of the consumption amount of the gas in the normal distribution function representing the consumption amount of the gas.
Optionally, the processor 52 further implements the following steps when executing the computer program 53: by the formula
And acquiring a total consumption quantity abnormal detection threshold value of the target monitoring object in the current detection period, wherein the total consumption quantity abnormal detection threshold value is represented, p represents a preset detection threshold value, u and j are constants, p belongs to [ u, j ], u, j belongs to (0, 1), and α represents a threshold value change factor.
Optionally, the processor 52 further implements the following steps when executing the computer program 53: when the sum of the probabilities that the water consumption exceeds the current value of the water consumption in the normal distribution function of the water consumption is larger than a second preset abnormal threshold, or the sum of the probabilities that the electricity consumption exceeds the current value of the electricity consumption in the normal distribution function of the electricity consumption is larger than the second preset abnormal threshold, or the sum of the probabilities that the gas consumption exceeds the current value of the gas consumption in the normal distribution function of the gas consumption is larger than the second preset abnormal threshold, outputting abnormal alarm information for prompting that the water, electricity and gas consumption of a target monitoring object is too low in the current detection period; and outputting abnormal alarm information for prompting that the consumption of water, electricity and gas is overhigh in the current detection period of the target monitoring object when the sum of the probabilities that the consumption of water exceeds the current value of the consumption of water in the normal distribution function of the consumption of water is less than or equal to a second preset abnormal threshold, the sum of the probabilities that the consumption of electricity exceeds the current value of the consumption of electricity in the normal distribution function of the consumption of electricity is less than or equal to the second preset abnormal threshold, and the sum of the probabilities that the consumption of gas exceeds the current value of the consumption of gas in the normal distribution function of the consumption of gas is less than or equal to the second preset abnormal threshold.
That is, in the embodiment of the present invention, when the processor 52 of the security monitoring device 5 executes the computer program 53, the steps of the security monitoring method described above are implemented, so that the potential safety hazard in the target monitored object can be detected based on the living resource consumption of the target monitored object, and a serious safety accident can be avoided.
For example, the security monitoring device 5 may be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The security monitoring device 5 may include, but is not limited to, a processor 52 and a memory 51. Those skilled in the art will appreciate that the schematic diagram is merely an example of the security monitoring device 5, and does not constitute a limitation on the security monitoring device 5, and may include more or less components than those shown, or combine some components, or different components, for example, the security monitoring device 5 may further include an input and output device, a network access device, a bus, etc.
It should be noted that, since the steps of the security monitoring method are implemented when the processor 52 of the security monitoring device 5 executes the computer program 53, all embodiments of the security monitoring method are applicable to the security monitoring device 5, and can achieve the same or similar beneficial effects.
In addition, the embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the steps of the security monitoring method are implemented.
That is, in the embodiment of the present invention, when the computer program of the computer readable storage medium is executed by the processor, the steps of the security monitoring method are implemented, so that the potential safety hazard in the target monitored object can be detected based on the living resource consumption of the target monitored object, and a serious safety accident can be avoided.
Illustratively, the computer program of the computer-readable storage medium comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, and the like. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, etc.
It should be noted that, since the steps of the security monitoring method are implemented when the computer program of the computer readable storage medium is executed by the processor, all embodiments of the security monitoring method are applicable to the computer readable storage medium, and can achieve the same or similar beneficial effects.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A security monitoring method is characterized by comprising the following steps:
periodically acquiring the consumption of living resources of a target monitoring object in a detection period;
judging whether the consumption of the living resources of the target monitoring object in the current detection period is abnormal or not according to the current value of the consumption of the living resources of the target monitoring object in the current detection period and a normally distributed function of the consumption obtained in advance; the normal distribution function of the consumption is calculated according to the historical value of the consumption in a preset historical time period;
and when the consumption of the living resources of the target monitoring object in the current detection period is abnormal, performing abnormal alarm on the target monitoring object.
2. The method according to claim 1, wherein before the step of determining whether the consumption of the living resource of the target monitoring object in the current detection period is abnormal according to the current value of the consumption of the living resource of the target monitoring object in the current detection period and a pre-obtained normal distribution function of the consumption, the method further comprises:
and fitting the historical value of the consumption in the preset historical time period to obtain a normal distribution function of the consumption.
3. The method of claim 1, wherein the number of living resources is at least one; the normal distribution function of the consumption comprises the normal distribution function of the consumption of the living resources, which is obtained by calculation according to the historical value of each consumption in a preset historical time period;
the step of judging whether the consumption of the living resources of the target monitoring object in the current detection period is abnormal or not according to the current value of the consumption of the living resources of the target monitoring object in the current detection period and a normally distributed function of the consumption obtained in advance comprises the following steps:
respectively aiming at each living resource in the living resources, determining the sum of the probabilities that the consumption amount of the living resources exceeds the current value of the consumption amount of the living resources in the normal distribution function according to the normal distribution function of the consumption amount of the living resources;
and judging whether the consumption of all the living resources of the target monitoring object in the current detection period is abnormal or not according to the sum obtained by calculation.
4. The method of claim 3, wherein the total living resources include one or more of water, electricity, and gas;
the step of judging whether the consumption of all the living resources of the target monitoring object in the current detection period is abnormal or not according to the sum obtained by calculation comprises the following steps:
when the sum of the probabilities that the water consumption exceeds the current value of the water consumption in the normal distribution function of the water consumption is smaller than a first preset abnormal threshold value, determining that the water consumption of the target monitoring object in the current detection period is abnormal, otherwise, determining that the water consumption of the target monitoring object in the current detection period is normal;
when the sum of the probabilities that the electricity consumption exceeds the current value of the electricity consumption in the normal distribution function of the electricity consumption is smaller than the first preset abnormal threshold, determining that the electricity consumption of the target monitoring object in the current detection period is abnormal, otherwise, determining that the electricity consumption of the target monitoring object in the current detection period is normal;
and when the sum of the probabilities that the consumption of the gas exceeds the current value of the consumption of the gas in the normal distribution function of the consumption of the gas is smaller than the first preset abnormal threshold value, determining that the consumption of the gas of the target monitoring object in the current detection period is abnormal, otherwise, determining that the consumption of the gas of the target monitoring object in the current detection period is normal.
5. The method according to claim 4, wherein the step of alarming abnormality of the target monitoring object when the sum of probabilities that the consumption amount of water exceeds the current value of the consumption amount of water in the normal distribution function of the consumption amount of water is less than a first preset abnormality threshold includes:
outputting abnormal alarm information for prompting that the consumption of water of the target monitoring object in the current detection period exceeds a normal standard;
when the sum of the probabilities that the electricity consumption exceeds the current value of the electricity consumption in the normal distribution function of the electricity consumption is smaller than the first preset abnormal threshold, the step of performing an abnormal alarm on the target monitored object includes:
outputting abnormal alarm information for prompting that the electricity consumption of the target monitoring object in the current detection period exceeds a normal standard;
when the sum of the probabilities that the consumption of the gas exceeds the current value of the consumption of the gas in the normal distribution function of the consumption of the gas is smaller than the first preset abnormal threshold, the step of performing abnormal alarm on the target monitoring object includes:
and outputting abnormal alarm information for prompting that the consumption of the gas of the target monitoring object in the current detection period exceeds a normal standard.
6. The method of claim 3, wherein the all-life resources include water, electricity, and gas;
the step of judging whether the consumption of all the living resources of the target monitoring object in the current detection period is abnormal or not according to the sum obtained by calculation comprises the following steps:
acquiring a total consumption abnormal detection value of the target monitoring object in the current detection period according to the sum of probabilities that the water consumption exceeds the current value of the water consumption in the normal distribution function of the water consumption, the electricity consumption exceeds the current value of the electricity consumption in the normal distribution function of the electricity consumption, and the gas consumption exceeds the current value of the gas consumption in the normal distribution function of the gas consumption;
acquiring a total consumption quantity abnormal detection threshold value of the target monitoring object in the current detection period according to a preset threshold value dynamic calculation formula;
judging whether the total consumption abnormal detection value is larger than the total consumption abnormal detection threshold value or not;
when the total consumption abnormity detection value is larger than the total consumption abnormity detection threshold value, determining that the consumption of all living resources of the target monitoring object in the current detection period is abnormal;
and when the total consumption abnormity detection value is smaller than or equal to the total consumption abnormity detection threshold value, determining that the consumption of all the living resources of the target monitoring object in the current detection period is normal.
7. The method according to claim 6, wherein the step of obtaining the abnormal detection value of the total consumption of the target monitoring object in the current detection period based on a sum of probabilities that the consumption amount of water exceeds the current value of the consumption amount of water in the normal distribution function of the consumption amount of water, a sum of probabilities that the consumption amount of electricity exceeds the current value of the consumption amount of electricity in the normal distribution function of the consumption amount of electricity, and a sum of probabilities that the consumption amount of gas exceeds the current value of the consumption amount of gas in the normal distribution function of the consumption amount of gas includes:
by the formula:
k＝(|100×xw-50|+|100×xe-50|+|100×xg-50|)/150；
calculating to obtain a total consumption abnormal detection value of the target monitoring object in the current detection period; wherein k represents the abnormal detection value of the total consumption amount, xwThe sum of probabilities that the water consumption exceeds the current value of the water consumption in a normal distribution function representing the water consumption, xeSum of probabilities that the amount of electricity consumed exceeds a current value of the amount of electricity consumed in a normal distribution function representing the amount of electricity consumed, xgA sum of probabilities that the consumption amount of the gas exceeds a current value of the consumption amount of the gas in a normal distribution function representing the consumption amount of the gas;
the step of obtaining the total consumption quantity abnormal detection threshold value of the target monitoring object in the current detection period according to a preset threshold value dynamic calculation formula comprises the following steps:
by the formula
And acquiring a total consumption quantity abnormal detection threshold value of the target monitoring object in the current detection period, wherein F represents the total consumption quantity abnormal detection threshold value, p represents a preset detection threshold value, u and j are both constants, and p belongs to [ u, j ], u, j belongs to (0, 1), and α represents a threshold value change factor.
8. The method of claim 6, wherein the step of alarming the target monitoring object for abnormalities comprises:
when the sum of the probabilities that the water consumption exceeds the current value of the water consumption in the normal distribution function of the water consumption is larger than a second preset abnormal threshold, or the sum of the probabilities that the electricity consumption exceeds the current value of the electricity consumption in the normal distribution function of the electricity consumption is larger than the second preset abnormal threshold, or the sum of the probabilities that the gas consumption exceeds the current value of the gas consumption in the normal distribution function of the gas consumption is larger than the second preset abnormal threshold, outputting abnormal alarm information for prompting that the water, electricity and gas consumption of the target monitoring object is too low in the current detection period;
and when the sum of the probabilities that the water consumption exceeds the current value of the water consumption in the normal distribution function of the water consumption is less than or equal to the second preset abnormal threshold, the sum of the probabilities that the electricity consumption exceeds the current value of the electricity consumption in the normal distribution function of the electricity consumption is less than or equal to the second preset abnormal threshold, and the sum of the probabilities that the gas consumption exceeds the current value of the gas consumption in the normal distribution function of the gas consumption is less than or equal to the second preset abnormal threshold, outputting abnormal alarm information for prompting that the water, electricity and gas consumption of the target monitoring object is too high in the current detection period.
9. A security monitoring device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the security monitoring method according to any one of claims 1 to 8 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out the steps of the security monitoring method according to any one of claims 1 to 8.
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| CN1752720A (en) * | 2004-09-23 | 2006-03-29 | 浙江工业大学 | Old solitary people safety protection device based on life supply line |
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