CN116168502A - Energy-saving control system of fire sensor of self-optimizing industrial park - Google Patents
Energy-saving control system of fire sensor of self-optimizing industrial park Download PDFInfo
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Abstract
The invention relates to the field of intelligent control, in particular to an energy-saving control system of a fire-fighting sensor of a self-optimizing industrial park. The system comprises a fire-fighting sensor grouping module, an importance difference acquisition module, an accuracy difference acquisition module, a difference coefficient acquisition module and a fire-fighting sensor control module; dividing fire sensors in a park into a plurality of groups, and determining a current working group; acquiring importance differences of the current working group and other groups of fire sensors; acquiring accuracy difference and endurance difference coefficients of the current working group and other groups of fire sensors at the next moment; thereby obtaining replacement benefits and determining a replacement work group of the current work group at the next moment; and acquiring a replacement work group at each moment in sequence, and performing replacement control. The intelligent alternating work of a plurality of groups of fire sensors can be realized, and the accuracy of monitoring the fire of a park is ensured while the energy-saving control of the fire sensors is realized.
Description
Technical Field
The invention relates to the field of intelligent control, in particular to an energy-saving control system of a fire-fighting sensor of a self-optimizing industrial park.
Background
Along with the rapid development of modern industrialization, factories perform large-scale and clustered production in the form of industrial parks, the industrial parks integrate storage, production, transportation and production and life of staff, the number of areas which are in need of important fire monitoring in the industrial parks is huge, and in order to ensure the safe production of the industrial parks, fire sensors are required to be installed in the industrial parks to perform fire alarm; the traditional fire alarm system mostly adopts a wired mode, but the wired mode is complicated in wiring and very difficult to maintain, the whole fire sensor network often needs to carry out a large amount of investigation and maintenance work because of the ageing of one circuit, especially for a huge industrial park, the maintenance cost is huge, and the defect of difficult maintenance of the wired system is overcome along with the rising of the wireless sensor network technology, when the wireless sensor network is applied to the fire alarm system, the wireless sensor network has the characteristics of plug and play, simplicity in maintenance and smaller maintenance cost, but compared with the traditional wired sensor, the energy consumption of the wireless sensor network itself depends on energy storage energy sources such as batteries, and once the electric energy in the wireless sensor battery is exhausted, the replacement of the battery of the wireless sensor is also a huge project, so that the battery of the wireless sensor needs to be subjected to energy-saving control as much as possible in order to reduce the cost of maintaining the fire sensor network.
In the existing energy-saving control technology, a low-power consumption use technology of a sensor is realized by controlling a sensor node to sleep, whether the sensor is subjected to sleep control or not is judged by the current working state of the sensor and the influence brought by the sensor after sleep, when the sensor is used in a fire protection system of an industrial park, due to the fact that human factors or production activity time in the industrial park change, the sensor can not enter the sleep state or the situation that the sensor in a certain area enters the sleep state for a long time during application, so that the actual energy-saving effect of the sensor is poor, delay exists when the sensor enters the sleep state for a long time, and fire protection safety in the park can not be accurately ensured.
Disclosure of Invention
The invention provides a self-optimizing industrial park fire control sensor energy-saving control system, which aims to solve the problems that a sensor in the prior art is poor in energy-saving effect and fire safety in a park cannot be accurately ensured; dividing fire sensors in a park into a plurality of groups, and determining a current working group; acquiring importance differences of the current working group and other groups of fire sensors; acquiring accuracy difference and endurance difference coefficients of the current working group and other groups of fire sensors at the next moment; thereby obtaining replacement benefits and determining a replacement work group of the current work group at the next moment; and acquiring a replacement work group at each moment in sequence, and performing replacement control. The intelligent alternating work of a plurality of groups of fire sensors can be realized, and the accuracy of monitoring the fire of a park is ensured while the energy-saving control of the fire sensors is realized.
The invention adopts the following technical scheme that the energy-saving control system of the fire-fighting sensor of the self-optimizing industrial park comprises the following components:
a fire sensor grouping module; grouping all fire sensors in the park to obtain a plurality of groups of fire sensors; wherein the fire sensors in each group can cover the entire campus, and each fire sensor can be located in multiple groups when grouped; acquiring the accuracy of each fire sensor at the current moment; and determining the current working group by using the accuracy average value of each group of fire sensors at the current moment.
An importance difference acquisition module; acquiring the importance of each fire-fighting sensor according to the times of grouping each fire-fighting sensor; and acquiring the importance difference between the current working group and the other groups of fire sensors by using the importance average value of all the fire sensors in each group.
An accuracy difference acquisition module; and acquiring the accuracy of each fire sensor at the next moment, and acquiring the accuracy difference between the current working group and the fire sensors of other groups at the next moment according to the accuracy average value of each group of fire sensors at the next moment.
A difference coefficient acquisition module; and acquiring the minimum residual capacity of the fire-fighting sensors in each group at the next moment, and acquiring the cruising difference coefficients of the current working group and the fire-fighting sensors in other groups at the next moment according to the minimum residual capacity of the fire-fighting sensors in each group at the next moment.
A fire sensor control module; acquiring replacement benefits of the current working group and the other groups of fire sensors at the next moment according to the importance difference of the current working group and the other groups of fire sensors, the accuracy difference of the current working group and the other groups of fire sensors at the next moment and the endurance difference coefficient; the fire-fighting sensor of the corresponding group with the maximum replacement income is selected as the working group at the next moment; and sequentially obtaining the fire-fighting sensor working groups in each time park.
Further, a self-optimizing energy-saving control system for fire sensors in an industrial park, the method for obtaining the accuracy of each fire sensor at the current moment comprises the following steps:
acquiring the coverage area of each fire control sensor in a park, and acquiring the traffic density and the storage density in the coverage area of each fire control sensor at the current moment;
and acquiring the accuracy of each fire sensor at the current moment according to the people flow density and the storage density in the coverage area of each fire sensor at the current moment.
Further, a self-optimizing energy-saving control system for fire sensors in an industrial park, and the method for acquiring the importance of each fire sensor comprises the following steps:
acquiring the occurrence times of each fire sensor in all groups of fire sensors;
acquiring the number of groups of divided groups of fire sensors;
the importance of each fire sensor is obtained according to the ratio of the number of times each fire sensor appears in all groups of fire sensors to the number of groups of divided groups of fire sensors.
Further, the energy-saving control system for the fire-fighting sensor in the self-optimizing industrial park comprises the following steps:
acquiring the same fire-fighting sensor in the current working group and the fire-fighting sensors in other groups, and removing the same fire-fighting sensor;
acquiring an importance average value of the fire sensors of the current working group and other groups after the same fire sensors are removed;
obtaining the importance difference between the current working group and the other groups of fire sensors according to the importance average value difference between the current working group and the other groups of fire sensors after the same fire sensor is removed;
and similarly, obtaining the accuracy difference between the current working group and the other groups of fire sensors at the next moment.
Further, the method for acquiring the endurance difference coefficient of the current working group and the other groups of fire sensors at the next moment by the self-optimizing energy-saving control system of the fire sensors in the industrial park comprises the following steps:
removing the same fire-fighting sensors in the current working group and other groups of fire-fighting sensors;
obtaining the minimum residual capacity in the current working group sensor and the minimum residual capacity in other groups of fire sensors after removing the same fire sensor at the next moment;
and obtaining the endurance difference coefficients of the current working group and the other groups of fire sensors at the next moment according to the minimum residual capacity in the current working group sensor and the minimum residual capacity in each group of fire sensors after the same fire sensors are removed at the next moment.
Further, the energy-saving control system of the fire-fighting sensor in the self-optimizing industrial park comprises the following steps:
according to the importance difference between the current working group and the other groups of fire sensors, the accuracy difference between the next moment of the current working group and the other groups of fire sensors and the endurance difference coefficient, the replacement benefits of the current working group and the other groups of fire sensors at the next moment are obtained, and the expression is as follows:
wherein S is j Indicating the replacement benefits of the fire sensors of the current working group and the j-th group at the next moment, wherein delta b represents the endurance difference coefficient,
indicating the next timeAccuracy difference between the current working group and the j-th group fire sensor, wherein +.>
Mean value of accuracy of j-th group fire-fighting sensor after removing the same fire-fighting sensor is shown, and ++>
Mean value of accuracy indicating the current working group after removal of the same fire sensor, +.>
Representing the importance difference of the current working group and the j fire sensor group, wherein +.>
Indicating the importance average value of the j-th group of fire sensors after the same fire sensor is removed,/for the fire sensors>
Indicating the mean value of the importance of the current working group after the same fire sensor is removed.
Further, a self-optimizing industrial park fire sensor energy-saving control system, the method for obtaining a plurality of groups of fire sensors in the park is as follows:
according to distribution of fire-fighting sensors in a park, selecting different numbers of fire-fighting sensors as a group, wherein each group of fire-fighting sensors comprises the number of fire-fighting sensors covering the whole park range, so as to obtain a plurality of groups of fire-fighting sensors in the park; wherein, any two groups of fire sensors have no inclusion relationship.
The beneficial effects of the invention are as follows: according to the invention, the fire-fighting sensors in the parks are grouped, and the sensing range of each group of fire-fighting sensors can be ensured to cover the whole parks, so that basic conditions are provided for the replacement of the working groups of the follow-up sensors.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, and that other drawings can be obtained according to these drawings without inventive faculty for a person skilled in the art.
FIG. 1 is a schematic flow diagram of a self-optimizing industrial park fire sensor energy-saving control system according to an embodiment of the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, a schematic flow diagram of an energy-saving control system of a fire sensor in a self-optimizing industrial park according to an embodiment of the invention is provided, including:
in one embodiment of the invention, the number of all fire sensors in the industrial park and the corresponding installation positions are obtained in advance, so that the coverage area of the fire sensors in the park is overlapped to ensure the security of fire monitoring of the park, namely, two or more fire sensors can monitor the same area, and therefore, the invention can realize the full coverage of the whole industrial park by all the fire sensors in each group when the fire sensors in the park are divided into groups.
101. A fire sensor grouping module; grouping all fire sensors in the park to obtain a plurality of groups of fire sensors; wherein the fire sensors in each group can cover the entire campus and the fire sensors in each group can be repeated; acquiring the accuracy of each fire sensor at the current moment; and determining the current working group by using the accuracy average value of each group of fire sensors at the current moment.
The method for grouping fire sensors in the park comprises the following steps:
according to distribution of fire-fighting sensors in a park, selecting different numbers of fire-fighting sensors as a group, wherein each group of fire-fighting sensors comprises the number of fire-fighting sensors covering the whole park range, so as to obtain a plurality of groups of fire-fighting sensors in the park; wherein, any two groups of fire sensors have no inclusion relationship.
In one embodiment of the invention, after the fire sensors in the parks are divided, the monitoring range of all the fire sensors in each group is ensured to realize the full coverage of the parks; the fire sensors in each group are not identical, and the fire sensors in each group have no inclusion relationship, i.e. the same fire sensor can exist between any two groups of fire sensors, but the fire sensors in each group are necessarily not included in other groups of fire sensors.
The method for acquiring the accuracy of each fire sensor at the current moment comprises the following steps:
acquiring the coverage area of each fire control sensor in a park, and acquiring the traffic density and the storage density in the coverage area of each fire control sensor at the current moment;
in the coverage area of each fire-fighting sensor in the industrial park, personnel and goods are mobile data, namely, the real-time personnel flow density and the storage density are provided at each moment in the coverage area of each fire-fighting sensor.
And acquiring the accuracy of each fire sensor at the current moment according to the people flow density and the storage density in the coverage area of each fire sensor at the current moment.
For fire control sensor, the sensor that exists in the garden generally divide into smoke transducer and temperature sensor, when the people flow is more, produce fire control hidden danger and generally arouse for people's smoking factor, smoke transducer's accuracy should be greater than temperature sensor's accuracy this moment, and personnel are less when storage density is great, arouse fire control hidden danger this moment is because ambient temperature (weather is overheated) is too high for fire control hidden danger such as spontaneous combustion appears in the storage thing, therefore temperature sensor should need be concerned at this moment, then fire control sensor for a moment:
if the fire sensor is a smoke sensor, the accuracy Z corresponding to the time t is the accuracy Z i The calculation formula of (t) is as follows:
if the fire sensor is a temperature sensor, the accuracy Z corresponding to the time t is the same i The calculation formula of (t) is as follows:
wherein Z is i (t) represents the accuracy of the ith fire sensor at time t, ρ 1 (t) represents the people flow density, ρ, at time t in the sensor coverage area 2 (t) represents the warehouse density at time t in the coverage area of the sensor, Z i (t) is a normalization result, and the larger the value is, the higher the accuracy is; when the people flow is more, fire-fighting hidden danger is generated and is generally caused by smoking factors of people, the accuracy of the smoke sensor is higher than that of the temperature sensor at the moment, and when the warehouse density is higher, people are fewer, the fire-fighting hidden danger is caused at the moment due to the fact that the environment temperature is too high or the weather is overheated, so that fire-fighting hidden danger such as spontaneous combustion and the like occurs to warehouses, and therefore, the temperature sensor needs to be focused at the moment, and the coverage range of the temperature sensor is coveredThe difference between the density of the internal people flow and the storage density characterizes the accuracy of the corresponding fire sensor, namely when the density of the people flow is greater than the storage density, the corresponding sensor is more human factors, the accuracy of detection is higher, and similarly, when the storage density is greater than the density of the people flow, the corresponding sensor is more environmental factors, and the accuracy of detection is correspondingly higher.
When the control system of the invention starts to be used, the accuracy of each fire-fighting sensor at the current moment is obtained, and then the average value of the accuracy of the fire-fighting sensors in each divided group is obtained, so that the fire-fighting sensor with the largest average value corresponding group is used as the current working group when the control system of the invention starts to be used.
102. An importance difference acquisition module; for obtaining importance of each fire sensor based on the number of occurrences of each fire sensor in all groups of fire sensors; and acquiring the importance difference of the current working group and the other groups of fire sensors according to the importance average value of each group of fire sensors.
The method for acquiring the importance of each fire sensor comprises the following steps:
acquiring the occurrence times of each fire sensor in all groups of fire sensors;
acquiring the number of groups of divided groups of fire sensors;
the importance of each fire sensor is obtained according to the ratio of the number of times each fire sensor appears in all groups of fire sensors to the number of groups of divided groups of fire sensors.
The invention calculates the importance of each sensor according to the occurrence frequency of each sensor in different groups, and since the importance of each sensor is calculated according to the occurrence times, the importance of each sensor is irrelevant to the change of time, the expression for calculating the importance of each sensor is as follows:
wherein N is all groupsNumber n i For the number of times sensor i appears in different groups, Y i For normalizing the coefficients, the larger and more important, if a sensor is present in each group, the importance of the sensor is 1.
The method for acquiring the importance difference between the current working group and each group of fire sensors comprises the following steps:
acquiring the same fire-fighting sensor in the current working group and each group of fire-fighting sensors, and removing the same fire-fighting sensor;
acquiring an importance average value of the current working group and each group of fire sensors after the same fire sensors are removed;
obtaining the importance difference between the current working group and each group of fire-fighting sensors according to the importance average value difference between the current working group and each group of fire-fighting sensors after the same fire-fighting sensors are removed;
for the current working group C A With another group of sensors C B Both are a set of multiple sensors, then the intersection of the two represents the initial workgroup C A With another group of sensors C B The sensors being provided in each, and the difference between the two being embodied in different elemental parts, i.e. the difference between the two being set C A -C A ∩C B And set C B -C A ∩C B The difference between the two fire sensors is obtained, so that the same sensors between the initial working group and each other fire sensor group are firstly obtained, when the difference calculation is carried out between the initial working group and each fire sensor group, the same sensors between the two fire sensors are removed, and the importance average value of the fire sensors in the initial working group and the corresponding group after the same sensors are removed is obtained A With another group of sensors C B For example, group C B Set C after removal of the same sensor B -C A ∩C B The corresponding importance average value is recorded as
Will currently work group C A Set C after removal of the same sensor A -C A ∩C B Corresponding importanceSex means->
The difference in importance is +.>
103. An accuracy difference acquisition module; the accuracy of each fire sensor at the next moment is obtained, and the accuracy difference between the current working group and the fire sensors of other groups at the next moment is obtained according to the average value of the accuracy of each group of fire sensors at the next moment.
The accuracy difference acquisition module is the same as the importance difference acquisition module, and uses the current working group C A With another group of sensors C B For example, group C B Set C after removal of the same sensor B -C A ∩C B The corresponding mean value of accuracy is recorded as
Will currently work group C A Set C after removal of the same sensor A -C A ∩C B The corresponding mean value of accuracy is marked +.>
The accuracy difference between the current working group and each group of fire sensors at the next moment is +.>
104. A difference coefficient acquisition module; and the device is used for acquiring the minimum residual capacity of each group of fire-fighting sensors at the next moment, and acquiring the endurance difference coefficients of the current working group and the other groups of fire-fighting sensors at the next moment according to the minimum residual capacity of each group of fire-fighting sensors at the next moment.
The method for obtaining the endurance difference coefficient between the current working group and each group of fire sensors at the next moment comprises the following steps:
removing the same fire sensors in the current working group and each group of fire sensors;
obtaining the minimum residual capacity in the current working group sensor after removing the same fire-fighting sensor at the next moment, and the minimum residual capacity in each group of fire-fighting sensors;
and obtaining the endurance difference coefficient of the current working group and each group of fire-fighting sensors at the next moment according to the minimum residual quantity in the current working group of sensors and the minimum residual quantity in each group of fire-fighting sensors after the same fire-fighting sensors are removed at the next moment.
The invention uses the current working group C A With another group of sensors C B For example, the remaining capacity b of the fire sensor with the smallest endurance in the set of the current working group excluding the same fire sensor is obtained at the next moment min (A) And the remaining capacity b of the fire sensor with the smallest endurance in the collection after the other group of sensors remove the same fire sensor min (B) The expression for obtaining the endurance difference coefficient between the current working group and the other group of fire sensors at the next moment is as follows:
calculating the endurance difference coefficient between the initial coverage strategy and all the replacement strategies, wherein the more the endurance difference coefficient approaches 0, the more the other group of sensors C is explained B The cruising ability of the system is far smaller than that of the current working group, namely, the cruising ability is reduced after replacement, otherwise, the more approaching 1 is, the more the cruising ability is increased after replacement.
105. A fire sensor control module; acquiring replacement benefits of the current working group and the other groups of fire sensors at the next moment according to the importance difference of the current working group and the other groups of fire sensors, the accuracy difference of the current working group and the other groups of fire sensors at the next moment and the endurance difference coefficient; the fire-fighting sensor of the corresponding group with the maximum replacement income is selected as the replacement work group of the current work group at the next moment; and sequentially controlling the working groups in each time park to replace.
The method for obtaining the replacement benefits of the current working group and each group of fire sensors at the next moment comprises the following steps:
according to the importance difference between the current working group and each group of fire-fighting sensors, the accuracy difference between the current working group and each group of fire-fighting sensors at the next moment and the endurance difference coefficient, the replacement benefits of the current working group and each group of fire-fighting sensors at the next moment are obtained, and the expression is as follows:
wherein S is j Indicating the replacement benefits of the fire sensors of the current working group and the j-th group at the next moment, wherein delta b represents the endurance difference coefficient,
indicating the difference in accuracy between the current working group and the j-th fire sensor at the next moment, wherein +.>
Mean value of accuracy of j-th group fire-fighting sensor after removing the same fire-fighting sensor is shown, and ++>
Mean value of accuracy indicating the current working group after removal of the same fire sensor, +.>
Representing the importance difference of the current working group and the j fire sensor group, wherein +.>
Indicating the importance average value of the j-th group of fire sensors after the same fire sensor is removed,/for the fire sensors>
Indicating the mean value of the importance of the current working group after the same fire sensor is removed.
If the endurance difference coefficient between the current working group and the other group of fire-fighting sensors approaches 0, it is indicated that the endurance difference coefficient after replacement will decrease, and at this time, the difference in accuracy after replacement should be paid more attention to, because the importance represents the importance of one sensor, the more important the endurance of the sensor should be protected, and when the important sensor is replaced, it is indicated that the important sensor is replaced by another unimportant sensor, the difference in importance will increase, so if the endurance difference coefficient after replacement represents the increase in endurance, we should pay more attention to the benefit obtained when the endurance of the important sensor is protected.
Therefore, the replacement benefits of the current working group and each fire-fighting sensor group at the next moment are calculated, a group of fire-fighting sensors with the largest replacement benefits is selected to serve as the replacement working group of the current working group at the next moment, the replacement working group serves as the current working group at the next moment, and updating of the current working group is continued at the next moment, so that intelligent replacement of the working group is achieved, because of the particularity of the fire-fighting sensors, the time interval between every two adjacent moments cannot be too short, the frequent information collection cannot be achieved, the energy-saving setting cannot be met, meanwhile, too long time cannot lead to slow updating of the fire-fighting sensors, the endurance of the fire-fighting sensors cannot be reduced, and accurate control of a park cannot be achieved.
It should be noted that, the replacement benefits of the current working group and other fire sensors at the next moment may be negative, that is, if the replacement benefits of a fire sensor of a certain group at the next moment are negative, the monitoring effect after the replacement is relatively bad to that of the current working group at the previous moment, so if the replacement benefits of the current working group and all the fire sensors of the other groups at the next moment are negative, the current working group is considered to be not required to be replaced at the next moment, that is, the fire sensor of the group corresponding to the maximum value of the non-negative replacement benefits is selected as the replacement working group at the next moment at each moment.
The invention relates to an energy-saving control system of a fire-fighting sensor in a self-optimizing industrial park, which at least comprises a fire-fighting sensor, monitoring equipment, a central processing unit and sensor control equipment, wherein the fire-fighting sensor and the monitoring equipment are respectively connected with the central processing unit, and the sensor control equipment is arranged inside the fire-fighting sensor and is controlled by the central processing unit only.
The fire sensor is a wireless sensor and has the function of receiving and transmitting wireless signals, the monitored information can be sent to the central processing unit for feedback, and meanwhile, sensor control equipment in the fire sensor can receive instructions of the central processing unit, so that the functions of starting the sensor for monitoring and closing the sensor for monitoring are realized; fire control sensor preinstalls in each region on the garden, and fire control sensor quantity and corresponding mounted position all have obtained in advance, and fire control sensor's coverage in the garden has overlapping, and two or more fire control sensors can monitor same region promptly.
The acquisition range of the monitoring equipment is larger than that of the fire-fighting sensor, and the monitoring equipment is mainly used for acquiring information such as people flow density, storage density and the like in the coverage area of the fire-fighting sensor, so that the monitoring equipment is installed along with the distribution position of the fire-fighting sensor, and the daily monitoring effect can be met while the monitoring equipment meets the requirement of the system for monitoring data, so that the monitoring equipment has multi-line connection, and the data required by the system are transmitted to a central processor of the system through wires.
The central processing unit can be software or a program installed in a computer medium, and can realize the functions of a fire-fighting sensor grouping module, an importance difference acquisition module, an accuracy difference acquisition module and a difference coefficient acquisition module in the system, firstly, the fire-fighting sensor grouping module in the central processing unit completes grouping according to distribution of fire-fighting sensors in a park, determines a current working group after the system is started, then analyzes replacement benefits of each group of sensors through receiving information acquired by monitoring equipment, and sends out a control instruction according to the replacement benefits through the importance difference acquisition module, the accuracy difference acquisition module and the difference coefficient acquisition module, and simultaneously controls all fire-fighting sensors corresponding to the current working group at the next moment to be turned off for monitoring, and other groups of fire-fighting sensors keep a turned-off state for replacement every other hour, so that intelligent control of the fire-fighting sensors is realized, and the intelligent fire-fighting system has an energy-saving effect.
According to the invention, the fire-fighting sensors in the parks are grouped, and the sensing range of each group of fire-fighting sensors can be ensured to cover the whole parks, so that basic conditions are provided for the replacement of the working groups of the follow-up sensors.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.
Claims (7)
1. The utility model provides a self-optimizing industrial park fire control sensor energy-saving control system which characterized in that includes:
a fire sensor grouping module; grouping all fire sensors in the park to obtain a plurality of groups of fire sensors; wherein the fire sensors in each group can cover the entire campus, and each fire sensor can be located in multiple groups when grouped; acquiring the accuracy of each fire sensor at the current moment; determining a current working group by using the accuracy average value of each group of fire sensors at the current moment;
an importance difference acquisition module; acquiring the importance of each fire-fighting sensor according to the times of grouping each fire-fighting sensor; acquiring importance differences of the current working group and the fire sensors of other groups by using importance average values of all the fire sensors in each group;
an accuracy difference acquisition module; acquiring the accuracy of each fire sensor at the next moment, and acquiring the accuracy difference between the current working group at the next moment and the fire sensors of other groups according to the accuracy average value of each fire sensor group at the next moment;
a difference coefficient acquisition module; acquiring the minimum residual capacity of the fire-fighting sensors in each group at the next moment, and acquiring the cruising difference coefficients of the current working group and the fire-fighting sensors in other groups at the next moment according to the minimum residual capacity of the fire-fighting sensors in each group at the next moment;
a fire sensor control module; acquiring replacement benefits of the current working group and the other groups of fire sensors at the next moment according to the importance difference of the current working group and the other groups of fire sensors, the accuracy difference of the current working group and the other groups of fire sensors at the next moment and the endurance difference coefficient; the fire-fighting sensor of the corresponding group with the maximum replacement income is selected as the working group at the next moment; and sequentially obtaining the fire-fighting sensor working groups in each time park.
2. The energy-saving control system for fire sensors in a self-optimizing industrial park according to claim 1, wherein the method for obtaining the accuracy of each fire sensor at the current moment is as follows:
acquiring the coverage area of each fire control sensor in a park, and acquiring the traffic density and the storage density in the coverage area of each fire control sensor at the current moment;
and acquiring the accuracy of each fire sensor at the current moment according to the people flow density and the storage density in the coverage area of each fire sensor at the current moment.
3. The energy-saving control system for fire sensors in a self-optimizing industrial park according to claim 1, wherein the method for obtaining the importance of each fire sensor comprises the following steps:
acquiring the occurrence times of each fire sensor in all groups of fire sensors;
acquiring the number of groups of divided groups of fire sensors;
the importance of each fire sensor is obtained according to the ratio of the number of times each fire sensor appears in all groups of fire sensors to the number of groups of divided groups of fire sensors.
4. The energy-saving control system for fire sensors in a self-optimizing industrial park according to claim 1, wherein the method for obtaining the importance difference between the current work group and the fire sensors in other groups is as follows:
acquiring the same fire-fighting sensor in the current working group and the fire-fighting sensors in other groups, and removing the same fire-fighting sensor;
acquiring an importance average value of the fire sensors of the current working group and other groups after the same fire sensors are removed;
obtaining the importance difference between the current working group and the other groups of fire sensors according to the importance average value difference between the current working group and the other groups of fire sensors after the same fire sensor is removed;
and similarly, obtaining the accuracy difference between the current working group and the other groups of fire sensors at the next moment.
5. The energy-saving control system of a fire sensor in a self-optimizing industrial park according to claim 1, wherein the method for obtaining the endurance difference coefficient of the fire sensor in the current working group and the fire sensor in the other groups at the next moment is as follows:
removing the same fire-fighting sensors in the current working group and other groups of fire-fighting sensors;
obtaining the minimum residual capacity in the current working group sensor and the minimum residual capacity in other groups of fire sensors after removing the same fire sensor at the next moment;
and obtaining the endurance difference coefficients of the current working group and the other groups of fire sensors at the next moment according to the minimum residual capacity in the current working group sensor and the minimum residual capacity in each group of fire sensors after the same fire sensors are removed at the next moment.
6. The energy-saving control system of a self-optimizing industrial park fire sensor according to claim 1, wherein the method for obtaining the replacement benefits of the current work group and the fire sensors of other groups at the next moment is as follows:
according to the importance difference between the current working group and the other groups of fire sensors, the accuracy difference between the next moment of the current working group and the other groups of fire sensors and the endurance difference coefficient, the replacement benefits of the current working group and the other groups of fire sensors at the next moment are obtained, and the expression is as follows:
wherein S is j Indicating the replacement income of the fire sensor of the current working group in the j-th group at the next moment, wherein delta b represents the endurance difference coefficient,
indicating the difference in accuracy between the current working group and the j-th fire sensor at the next moment, wherein +.>
Mean value of accuracy of j-th group fire-fighting sensor after removing the same fire-fighting sensor is shown, and ++>
Mean value of accuracy indicating the current working group after removal of the same fire sensor, +.>
Representing the importance difference of the fire sensors of the current working group and the j group, wherein
Indicating the importance average value of the j-th group of fire sensors after the same fire sensor is removed,/for the fire sensors>
Indicating the mean value of the importance of the current working group after the same fire sensor is removed.
7. The self-optimizing industrial park fire sensor energy conservation control system of claim 1, wherein the method for obtaining the plurality of groups of fire sensors in the park comprises the following steps:
according to distribution of fire-fighting sensors in a park, selecting different numbers of fire-fighting sensors as a group, wherein each group of fire-fighting sensors comprises the number of fire-fighting sensors covering the whole park range, so as to obtain a plurality of groups of fire-fighting sensors in the park; wherein, any two groups of fire sensors have no inclusion relationship.
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