Nighttime Do Not Disturb Control System for Alarm Based on Data Self-Detection

Abstract

The present invention discloses a night-time do-not-disturb control system for an alarm based on data self-detection, which relates to the technical field of alarms. A data self-check and optimization scheme is proposed for the night-time do-not-disturb function of current alarms. Specifically, based on the operating principle of the alarm, taking the current signal converted from a signal source in the external environment as the basis, a time-periodic shunt analysis method is adopted. Its essence is to obtain "opposite" compensation factors by retrieving and comparing similar data streams in different time periods, and further utilize the value-added or value-decreased states in different time periods to optimize or maintain the state of whether the alarm is operating abnormally. The purpose is to re-determine the operating state of the alarm based on its own data self-detection, and on the basis of achieving the night-time do-not-disturb function, simultaneously maintain real-time detection and avoid false alarms.

Description

Technical Field

[0001] The present invention relates to the technical field of alarms, and particularly to a night do-not-disturb control system for alarms based on data self-detection. Background Art

[0002] Alarms are mostly used in fields such as system failures, security prevention, transportation, medical rescue, emergency disaster relief, and induction detection. Currently, most alarms are electronic alarms. Its essence is to convert, calculate, and transmit relevant information to generate warning information. In order to achieve better use effects, a night do-not-disturb function is added to current alarms, and its purpose is to determine whether to send a warning message based on the level of the warning information.

[0003] It should be noted here that: The working principle of the alarm is based on environmental factors, such as parameter indicators in environmental factors such as temperature, humidity, dust, wind speed, etc. Thus, it can be understood that environmental factors are key factors affecting the use of the alarm. There are differences in environmental factors (such as temperature, humidity, etc.) between night and day, resulting in differences in the sensitivity of the alarm to environmental factors. Especially during long-term use, its sensitivity drifts and cannot be compensated, or the compensation ability is relatively low, resulting in the alarm being unable to automatically process the influence of various interferences and line analysis parameters and generating false alarms.

[0004] Subsequently, the present application proposes a solution. Summary of the Invention

[0005] The purpose of the present invention is to provide a night do-not-disturb control system for alarms based on data self-detection, which is used to solve the problem that in the night do-not-disturb function of current alarms, due to further influence of external environmental factors, there are differences in its sensitivity, specifically its insufficient compensation ability, and then false alarms are generated.

[0006] The purpose of the present invention can be achieved through the following technical solutions: A night do-not-disturb control system for alarms based on data self-detection, which is applied to alarms used during the night period, includes a data integration unit, a data shunt analysis unit, and a summary information unit. The data integration unit is used to record the static parameters in the alarm and the environmental parameters collected by the alarm, and transmit the environmental parameters and static parameters to the data shunt analysis unit.

[0007] In the data shunt analysis unit, an analysis and comparison operation is performed on environmental parameters. The analysis and comparison operation includes a data time-period shunt process, a data stream conversion process, and a data stream comparison process. The time-period shunt process is to independently split the environmental parameters according to the unit time and obtain multiple data streams; in the data stream conversion process, an independent conversion operation is performed on the environmental parameters in the data stream to obtain environmental factors; in the data stream comparison process, an independent conversion operation of each data stream is retrieved and compared to obtain a compensation factor.

[0008] The summary information unit has the control authority of the data shunt analysis unit, compensates the environmental factors in the data stream conversion process according to the compensation factor to obtain a warning level coefficient, and combines the warning level coefficient with the static parameters as the judgment reference for whether the alarm emits an alarm signal.

[0009] It is further set that: the environmental parameter is used to represent the signal source in the external environment of the alarm. The unit time in the time-period shunt process is n min, and the data stream is numbered i according to the unit time. n and i are natural positive integers. In the data stream conversion process, the independent conversion operation performed on the data stream numbered i is used to represent the current signal generated by the alarm receiving the signal source, that is, the environmental factor is used to represent the strength level of the current signal, and the static parameter is used to represent the critical current signal when the alarm emits an alarm signal.

[0010] It is further set that: in the data stream comparison process, the following processing steps are included:

[0011] Processing step one: Let χ i represent the current signal in the data stream numbered i in the unit time, and select the upper limit peak value and the lower limit peak value in χ i . The upper limit peak value is used to represent the maximum value in multiple χ i , and the lower limit peak value is used to represent the minimum value in multiple χ i . The upper limit peak value in χ i is the environmental factor;

[0012] Processing step two: Through the retrieval and comparison operation, synchronously retrieve multiple data streams in the data stream conversion process, and retrieve the upper limit peak values in multiple data streams to obtain an equivalent group. The equivalent group includes two environmental factors with close values, and mark the corresponding numbers i and i + k of the two environmental factors, where k is a natural positive integer, and the upper limit peak values between χ i and χ i+k are in an equal state or an approaching state;

[0013] Processing step three: Retrieve multiple sub-data in the corresponding numbers i and i + k, and let represent the sub-data in χ i , and let represent χi+k For the sub-data in a difference rate value is established based on the sub-data in each numbered i data stream. The calculation formula for the difference rate value is: where α n-1 and are respectively used to represent the difference rate value and the compensation factor.

[0014] It is further set that in the calculation formulas for the compensation factor and the difference rate value, the upper limit peak value in χ i is not included, and in the calculation of the warning level coefficient, the critical current signal is represented by χ0. If χ0 < χ i , it is used to indicate that the alarm is in an abnormal operating state; if χ0 > χ i , it is used to indicate that the alarm is in a normal operating state, that is, the positive or negative value of (χ0 - χ i ) / χ0 represents the calculation method of the warning level coefficient.

[0015] It is further set that in the calculation method of the warning level coefficient, the following contents are included:

[0016] S1: When χ0 < χ i and , it is used to indicate that the alarm is in an increasing value and abnormal operating state. Take the absolute positive value of α n-1 and calculate to obtain The calculation method of the warning level coefficient is optimized to If then optimize the alarm to be in a normal operating state; if then maintain the alarm in an abnormal operating state;

[0017] S2: When χ0 < χ i and , it is used to indicate that the alarm is in a decreasing value and abnormal operating state. Take the absolute positive value of α n-1 and calculate to obtain The calculation method of the warning level coefficient is optimized to If then optimize the alarm to be in a normal operating state; if then maintain the alarm in an abnormal operating state;

[0018] S3: When χ0 > χ i and , it is used to indicate that the alarm is in an increasing value and normal operating state. Take the absolute positive value of α n-1 and calculate to obtain The calculation method of the warning level coefficient is optimized to If then maintain the alarm in a normal operating state; if Then the optimized alarm is in an abnormal operating state;

[0019] S4: When χ0 > χ i and it is used to indicate that the alarm is in a state of decreasing value and normal operation. Take the absolute positive value of α n-1 and calculate to obtain The calculation method of the warning level coefficient is optimized to If then maintain the alarm in a normal operating state; if then optimize the alarm to be in an abnormal operating state.

[0020] The present invention has the following beneficial effects:

[0021] 1. For the night do not disturb function in the current alarm, an optimized data self-checking scheme is proposed, specifically including: based on the operating principle of the alarm, the current signal converted from the signal source in the external environment is shunted and separated. Its essence is to collect the signal source in the external environment in real time to obtain a real-time current signal, and then independently convert each data stream to obtain an environmental factor. Then, an equal amount group in each data stream is retrieved. The equal amount group is composed of two environmental factors in equal or approaching states. The purpose is to calculate the compensation factor in the form of an average value. When the alarm is in an abnormal or normal operating state, optimize or maintain the environmental factor according to the compensation factor;

[0022] 2. Based on the above content, synchronously utilize the span k in the two data streams in the equal amount group to optimize the compensation factor with the span k, and propose the upper limit peak value of the environmental factor in each data stream when calculating the compensation factor difference rate value. And during the process of optimizing or maintaining the operating state of the alarm, synchronously set the increasing value or decreasing value state, and re-determine the optimization or maintenance method according to the two states. In this way, self-checking is performed through the real-time collected data stream to avoid accidental problems such as false alarms. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained without creative efforts based on these drawings.

[0024] Figure 1 It is the system operation block diagram of the alarm night do not disturb control system based on data self-detection proposed by the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0025] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0026] Embodiment 1

[0027] For the night do-not-disturb function in the current alarm, during long-term use, there are differences in its sensitivity. Specifically, the sensitivity drifts and cannot be compensated, or the compensation ability is low, resulting in the alarm being unable to automatically process the effects of various interferences and line analysis parameters and generating false alarms. For this, the following technical solutions are proposed:

[0028] Referring to Figure 1 , the night do-not-disturb control system of the alarm based on data self-detection in this embodiment is applied to the alarm used during the night period, and includes a data integration unit, a data shunt analysis unit, and a summary information unit. The data integration unit is used to record the static parameters in the alarm and the environmental parameters collected by the alarm, and transmit the environmental parameters and static parameters to the data shunt analysis unit;

[0029] In the data shunt analysis unit, analysis and comparison actions are performed on the environmental parameters. The analysis and comparison actions include a data time-period shunt process, a data stream conversion process, and a data stream comparison process. The time-period shunt process is to independently split the environmental parameters according to the unit time and obtain multiple data streams; in the data stream conversion process, independent conversion actions are performed on the environmental parameters in the data stream to obtain environmental factors; in the data stream comparison process, after retrieving and comparing the independent conversion actions of each data stream, compensation factors are obtained;

[0030] The summary information unit has the control authority of the data shunt analysis unit, compensates the environmental factors in the data stream conversion process according to the compensation factors to obtain a warning level coefficient, and combines the warning level coefficient with the static parameters as a judgment reference for whether the alarm emits an alarm signal.

[0031] The environmental parameters are used to represent the signal sources in the external environment of the alarm. The unit time in the time-period shunt process is n min, and the data stream is assigned the number i according to the unit time. n and i are natural positive integers. In the data stream conversion process, the independent conversion action performed on the data stream numbered i is used to represent the current signal generated by the alarm receiving the signal source. That is, the environmental factor is used to represent the strength level of the current signal, and the static parameter is used to represent the critical current signal when the alarm emits an alarm signal.

[0032] Basic principle: The present invention is mainly applied to the function of "do not disturb at night" in an alarm. In this function, it does not mean that the alarm is in an idle state. It still collects signal sources in the external environment and makes responses, and generates the operating state of the alarm according to the environmental factors generated by the signal sources. Take the current smoke alarm as an example. When the smoke concentration is large enough (the environmental factor is large enough), the generated current signal exceeds the static parameter, which then represents that the alarm is in an abnormal operating state and emits an alarm signal. Thus, it can be understood that the static parameter is used to represent the critical electrical signal in the alarm. And because there are many types of current alarms, the types of alarms are not limited in the present invention and will not be described here;

[0033] It should be noted that: The solution proposed by the present invention is consistent with the operating principle of the current alarm. The difference is that: The real-time collected environmental parameters are shunted according to the unit time. If n = 60, it is then understood that one hour is used as a self-checking period, and only the signals collected within one hour are analyzed within one self-checking period. Because the operating principle of the alarm is based on the current signal generated by the signal source in the external environment, the environmental factor obtained through independent conversion mainly represents the current signal, and the independent conversion action mainly depends on the sensitive components inside the alarm for conversion, which is not limited here;

[0034] In this regard, the method adopted by the present invention is to compare each data stream. By retrieving two data streams from multiple data streams, a compensation factor is calculated. Thus, when the alarm is in a normal operating state or an abnormal operating state, the compensation factor is also required to maintain or optimize the two states.

[0035] Embodiment 2

[0036] This embodiment is an explanatory description of the data shunting and analysis unit in Embodiment 1:

[0037] During the data stream comparison process, the following processing steps are included:

[0038] Processing step 1: Let χ i represent the current signal of the data stream numbered i in the unit time, and select the upper peak value and the lower peak value in χ i . The upper peak value is used to represent the maximum value among multiple χ i , and the lower peak value is used to represent the minimum value among multiple χ i . The upper peak value in χ i is the environmental factor;

[0039] Processing Step 2: By invoking the comparison operation, multiple data streams during the data stream conversion process are synchronously retrieved, and the upper limit peaks in the multiple data streams are retrieved to obtain equal quantity groups. Each equal quantity group includes two environmental factors with close values, and the corresponding numbers i and number i + k of the two environmental factors are marked, where k is a natural positive integer, and χ i and χ i+k The upper limit peaks between are in an equal state or an approaching state;

[0040] Processing Step 3: Retrieve multiple sub - data corresponding to numbers i and i + k, using to represent the sub - data in χ i and using to represent the sub - data in χ i+k According to the sub - data in each data stream numbered i, a difference rate value is established. The calculation formula for the difference rate value is: And a compensation factor calculation formula is synchronously established as where α n-1 and are used to represent the difference rate value and the compensation factor respectively.

[0041] In the calculation formulas for the compensation factor and the difference rate value, the upper limit peak in χ i is not included. And when calculating the warning level coefficient, χ0 represents the critical current signal. If χ0 < χ i , it indicates that the alarm is in an abnormal operating state; if χ0 > χ i , it indicates that the alarm is in a normal operating state. That is, the positive or negative value of (χ0 - χ i ) / χ0 represents the calculation method of the warning level coefficient.

[0042] Technical Solution: In combination with Example 1, a group of data streams contains multiple current signals. Its essence is: converting the environmental parameters collected by the alarm in real - time per unit time into multiple real - time current signals, and then it can be understood that: there are multiple current signals in the data stream numbered i, and the upper and lower peaks are rotated again according to the strength level of the current signals;

[0043] In this way, as the alarm continues to run, when the environmental factors in two data streams appear in an equal state or an approaching state, the two data streams in the equal state or approaching state are retrieved accordingly, that is, the data streams corresponding to numbers i and i + k. Each data stream contains multiple sub - data. It should also be noted that: is also one of the sub - data. Then when calculating the difference rate value, is not considered, but the two groups of sub - data are compared and subtracted one by one. Its purpose is: using As a key parameter for judging whether the alarm is operating normally or abnormally, while the remaining sub-data is mainly used as a comparison parameter for and the formula used when calculating the compensation factor: Because the difference rate value does not consider So it is not considered when calculating the compensation factor And it should also be noted that: k therein is used to represent the span between equal groups. When calculating the difference between two data streams in this way of span, the compensation factor is secondarily limited by k / (i + k) to obtain the final calculation method.

[0044] Embodiment III

[0045] This embodiment is to explain the technical solution in Embodiment II:

[0046] In the calculation method of the warning level coefficient, it includes the following content:

[0047] S1: When χ0 < χ i and it is used to indicate that the alarm is in an increasing value and abnormal operating state. Take the absolute positive value of α n-1 and calculate to obtain The calculation method of the warning level coefficient is optimized to If then optimize the alarm to be in a normal operating state; if then maintain the alarm in an abnormal operating state;

[0048] S2: When χ0 < χ i and it is used to indicate that the alarm is in a decreasing value and abnormal operating state. Take the absolute positive value of α n-1 and calculate to obtain The calculation method of the warning level coefficient is optimized to If then optimize the alarm to be in a normal operating state; if then maintain the alarm in an abnormal operating state;

[0049] S3: When χ0 > χ i and it is used to indicate that the alarm is in an increasing value and normal operating state. Take the absolute positive value of α n-1 and calculate to obtain The calculation method of the warning level coefficient is optimized to If then maintain the alarm in a normal operating state; if then optimize the alarm to be in an abnormal operating state;

[0050] S4: When χ0 > χ iAnd When, it is used to indicate that the alarm is in the state of decreasing value and operating normally, and take α n-1 The absolute positive value of and calculate to obtain The calculation method of the warning level coefficient is optimized to If Then maintain the alarm in the normal operating state; if Then optimize the alarm to be in the abnormal operating state.

[0051] Scheme description: Combined with the first embodiment, when χ0 < χ i It can indicate that the alarm is in the abnormal operating state. For this, it is also necessary to combine the compensation factor in the second embodiment for compensation actions, and in the specific process, it is also necessary to utilize And The size between, and combined with The positive and negative values of this value are used to judge again whether the alarm running time reaches n*(i + k) is in the increasing value or decreasing value state. Thus, when in the increasing value state, perform negative compensation on χ i ; when in the decreasing value state, perform positive compensation on χ i To form The specific formula of;

[0052] Its purpose is combined with Figure 1 To take χ i As the basis to preliminarily judge whether the alarm operating state is abnormal, specifically obtain two signals Y and N, and then perform secondary determination on the two signals, and maintain or optimize the two signals in the alarm operating state separately.

[0053] In summary: A data self-checking and optimization scheme is proposed for the night do-not-disturb function of the current alarm, specifically including: aiming at the operating principle of the alarm, based on the current signal converted from the signal source in the external environment, collecting a time-periodic shunt analysis method, whose essence is to obtain the "opposite" compensation factor by retrieving and comparing similar data streams in different time periods, and further utilize the increasing value state or decreasing value state in different time periods to optimize or maintain whether the alarm is in the abnormal operating state. Its purpose is: based on self-data self-checking, re-determine the operating state of the alarm, and on the basis of playing the night do-not-disturb function, synchronously maintain real-time detection and avoid the problem of false alarms.

[0054] The above content is only an example and description of the structure of the present invention. Those skilled in the art of this technology make various modifications or supplements to the specific embodiments described or use similar methods to replace them. As long as they do not deviate from the structure of the invention or exceed the scope defined by this claim book, they should all belong to the protection scope of the present invention.

[0055] In the description of this specification, the descriptions referring to terms such as "one embodiment", "example", "specific example", etc. mean that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0056] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the present invention to only the specific implementation manners. Obviously, many modifications and variations can be made according to the content of this specification. The present specification selects and specifically describes these embodiments in order to better explain the principle and practical application of the present invention, so that those skilled in the art can well understand and utilize the present invention. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. The night no-disturbance control system of an alarm based on data self-detection, characterized in that An alarm used during the night period includes a data integration unit, a data shunt analysis unit, and a summary information unit. The data integration unit is used to record the static parameters in the alarm and the environmental parameters collected by the alarm, and transmit the environmental parameters and static parameters to the data shunt analysis unit; In the data shunt analysis unit, an analysis and comparison operation is performed on the environmental parameters. The analysis and comparison operation includes a data time-period shunt process, a data flow conversion process, and a data flow comparison process. The time-period shunt process is to independently split the environmental parameters according to the unit time and obtain multiple data flows; in the data flow conversion process, an independent conversion operation is performed on the environmental parameters in the data flow to obtain environmental factors; in the data flow comparison process, an extraction and comparison operation is performed on the independent conversion operations of each data flow to obtain compensation factors; The summary information unit has the control authority of the data shunt analysis unit, compensates the environmental factors in the data flow conversion process according to the compensation factors to obtain a warning level coefficient, and combines the warning level coefficient with the static parameters as a judgment reference for whether the alarm emits an alarm signal; In the data flow comparison process, the following processing steps are included: Processing step one: using χ i to represent the current signal of the data stream numbered i in unit time, and selecting the upper peak value and the lower peak value in χ i . The upper peak value is used to represent the maximum value in multiple χ i , and the lower peak value is used to represent the minimum value in multiple χ i ; Processing Step 2: By invoking the comparison action, multiple data streams during the data stream conversion process are synchronously invoked, and the upper limit peaks in the multiple data streams are retrieved to obtain equivalent groups. Each equivalent group includes two environmental factors with close values, and the corresponding numbers i and number i + k of the two environmental factors are marked, where k is a natural positive integer, and χ i and χ i+k are in an equal state or an approaching state in terms of the upper limit peak; Processing Step 3: Retrieve multiple sub-data in the corresponding numbers i and i + k, to represent the sub-data in χ i , to represent the sub-data in χ i+k . Establish a difference rate value based on the sub-data in each data stream of number i. The calculation formula for the difference rate value is: And simultaneously establish the calculation formula for the compensation factor as where α n-1 and are respectively used to represent the difference rate value and the compensation factor.

2. The night do-not-disturb control system of the alarm based on data self-detection according to claim 1, characterized in that, The environmental parameter is used to represent the signal source in the external environment of the alarm. The unit time in the time-period shunt process is n min, and the data flow is assigned the number i according to the unit time. n and i are natural positive integers. In the data flow conversion process, the independent conversion operation performed on the data flow numbered i is used to represent the current signal generated by the alarm receiving the signal source, that is, the environmental factor is used to represent the strength level of the current signal, and the static parameter is used to represent the critical current signal when the alarm emits an alarm signal.

3. The night-time do-not-disturb control system for an alarm based on self-detection of data according to claim 1, wherein In the calculation formulas of the compensation factor and the differential rate value, χ is not included. i The upper limit peak value in i is not included, and in the calculation of the warning level coefficient, χ0 represents the critical current signal. If χ0 < χ i , it is used to indicate that the alarm is in an abnormal operating state; if χ0 > χ i , it is used to indicate that the alarm is in a normal operating state, that is, the positive and negative values of (χ0 - χ i ) / χ0 represent the calculation method of the warning level coefficient.

4. The alarm night do-not-disturb control system based on data self-detection according to claim 3, wherein, In the calculation method of the warning level coefficient, the following contents are included: S1: When χ0 < χ i and it is used to indicate that the alarm is in an increasing and abnormal operating state, take the absolute positive value of α n-1 and calculate to obtain the calculation method of the warning level coefficient is optimized to If then optimize the alarm to be in a normal operating state; if then maintain the alarm in an abnormal operating state; S2: When χ0 < χ i and , it is used to indicate that the alarm is in a state of decreasing value and abnormal operation. Take the absolute positive value of α n-1 and calculate to obtain The calculation method of the warning level coefficient is optimized to If , then optimize the alarm to be in a normal operating state; if , then maintain the alarm in an abnormal operating state; S3: When χ0 > χ i and it is used to indicate that the alarm is in a value-added and normal operating state, take the absolute positive value of α n-1 and calculate to obtain The calculation method of the warning level coefficient is optimized to If then maintain the alarm in a normal operating state; if then optimize the alarm to be in an abnormal operating state; S4: When χ0 > χ i and it is used to indicate that the alarm is in a devalued and normal operating state. Take the absolute positive value of α n-1 and calculate to obtain The calculation method of the warning level coefficient is optimized to If then maintain the alarm in a normal operating state; if then optimize the alarm to be in an abnormal operating state.

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