JPH06318292A - Fire alarm device - Google Patents

Abstract

PURPOSE:To provide a fire alarm device improved at its abnormality judging accuracy. CONSTITUTION:A control means 3 selects plural groups of processing rules based upon an environmental condition A, a processing means 5 finds out plural groups of function values corresponding to the plural groups of processing rules and generates plural fire information D summerized in each plural groups of function values and a judging means 6 judges abnormality based upon plural fire information, confirms the 1st abnormality judging result E by the 2nd information summerization based upon a different processing rule obtained by changing an angle and obtains a final abnormality judging result E based upon plural groups of fire information.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention selects fire rules by selecting processing rules and functions from various sensor information to obtain a required number of function values, and using fuzzy inference to comprehensively collect information on each function value. A fire alarm device that generates and gives various alarms based on an abnormality determination result based on fire information, and in particular, improves reliability of abnormality determination by aggregating a plurality of sets of information based on a plurality of different processing rules. The present invention relates to a fire alarm device capable of determining an abnormal level.

[0002]

2. Description of the Related Art Generally, in a fire alarm device using fuzzy reasoning, various environmental conditions (physical quantities of smoke, heat, gas, etc., and environmental information such as ventilation frequency and number of people) obtained from a plurality of sensor means are used. According to the environmental condition according to, the processing rule to be used and the function corresponding to the processing rule are selected, and the function values obtained from the selected processing rule and the function are aggregated to be fire information. Therefore, in order to make a highly accurate abnormality determination based on the fire information, it is necessary to improve the generation accuracy of the fire information.

Examples of this type of fire alarm device include:
Some are referred to, for example, in Japanese Patent Laid-Open No. 2-195496. However, in this case, the processing rule and function selection should be 1
Only once, the information aggregation result of the function values based on the once selected processing rule and function becomes the final conclusion of the fire information. Therefore, it is impossible to verify the abnormality content once determined at another angle, that is, by another processing rule to confirm whether or not the determination result is actually correct.

Further, if a fire occurs and a fire spreads in sequence and multiple abnormalities are displayed one after another with a large number of sensor means installed in a plurality of places, which sensor means is actually installed in a dangerous place. Even if an attempt is made to determine whether there is any, this cannot be realized because there is no means for changing the processing rule and function to be applied and investigating a state with a higher degree of risk.

[0005]

As described above, the conventional fire alarm device uniquely determines an abnormality by aggregating information of a set of function values based on the once selected processing rule and function. There is a problem that it is not possible to obtain the abnormality determination result for each purpose or to perform the stepwise abnormality determination.

The present invention has been made to solve the above problems, and an object of the present invention is to obtain a fire alarm device in which the accuracy of abnormality determination is improved in response to various fire conditions. Another object of the present invention is to obtain a fire alarm device that enables stepwise abnormality determination.

[0007]

A fire alarm device according to claim 1 of the present invention comprises a plurality of sensor means for detecting various environmental conditions related to a fire phenomenon, and an environmental condition and processing information of the environmental condition. Information acquisition means to be collected as information, and a plurality of functions that give a function value related to fire information for each sensor information, and a processing rule that defines a plurality of processing rules for determining the function to be executed Defining means, control means for determining a control rule for selecting a required number of processing rules according to the environmental conditions determined by each sensor information, and a function according to the processing rule selected by the control rules. Based on this, the sensor information is processed to obtain a function value, and each function value is comprehensively processed based on fuzzy reasoning to generate fire information by collecting information. And a display means for issuing an alarm in response to the abnormality determination result from the determination means, and the control means includes a plurality of sets of processing rules based on environmental conditions. The processing means obtains a plurality of sets of function values corresponding to a plurality of sets of processing rules, and generates a plurality of fire information in which information is aggregated for each of the plurality of sets of function values. The abnormality determination is performed based on the information.

The fire alarm device according to a second aspect of the present invention is the fire alarm device according to the first aspect, wherein the processing means sequentially generates fire information corresponding to each of a plurality of sets of processing rules, and the determination means comprises a plurality of pieces. The fire information is sequentially generated, and the determination means sequentially changes the abnormality determination result in response to each fire information.

The fire alarm device according to claim 3 of the present invention is the fire alarm device according to claim 1 or 2, wherein the control means is 1
The processing rule of the group selected for the second time is determined based on the content of the abnormality determination result by the processing rule of the group selected for the second time.

According to a fourth aspect of the present invention, in the fire alarm device of the third aspect, the number of processing rules of the set selected first is smaller than the number of processing rules selected second. It has been set.

[0011]

According to claim 1 of the present invention, a plurality of sets of processing rules are selected (that is, a plurality of times), and the angle is changed from the first time in order to confirm the result of the first abnormality judgment and to judge the fire. The second information aggregation is performed based on different processing rules, and the final abnormality determination result is obtained based on multiple sets of fire information.

Further, according to the second aspect of the present invention, the abnormality determination result is sequentially changed in response to the fire information sequentially generated based on the plurality of sets of processing rules.

Further, in claim 3 of the present invention, the second processing rule is selected based on the content of the abnormality determination result of the first time, and the second abnormality determination result of high precision and reliability is obtained. .

Further, in claim 4 of the present invention, the number of selections of the first processing rule is set to be smaller than that of the second processing rule, and a rough abnormality determination is performed to reduce the processing time.

[0015]

【Example】

Example 1. Embodiment 1 of the present invention will be described below with reference to the drawings. FIG. 1 is a block diagram showing a functional configuration of a first embodiment of the present invention, and FIG. 2 schematically shows a relationship among control rules, processing rules, respective functions and fire information used in the first embodiment of the present invention. FIG.

In FIG. 2, B is sensor information, B'is an environmental condition determined by the sensor information B, C is a control rule determined according to the environmental condition B ', and S (Sa, S).
b is a processing rule selected by the control rule C, F is a function accessed by the processing rule S, G is a function value obtained by executing the function F based on the sensor information B, and D is a function value. This is fire information obtained by comprehensively collecting information on G based on fuzzy inference.

3 is a processing rule S in response to the sensor information B.
Control means for defining a control rule C for selecting
Reference numeral 4 is a processing rule defining means for defining a function F for the sensor information B and for defining a processing rule S for accessing the function F. Processing means for generating information D, 5A
Is a function value aggregating unit that executes fuzzy inference in the processing means 5.

Further, in FIG. 1, 1 is a sensor means composed of a plurality (m) of sensors for detecting various phenomena related to a fire phenomenon and environmental conditions A (A1 to Am), and 2 is an environmental condition A and an environment. The processing information of the state A is converted into the sensor information B (B1 to
Bn) is an information acquisition means. Environmental condition A
Includes physical information such as smoke and heat, and environmental information such as the number of persons, and the information income unit 2 includes a processing unit for processing the environmental state A. Further, the processed sensor information includes time information after exceeding a predetermined level, an integrated value of deviation, and the like.

The control means 3 selects a required number (a plurality of sets) of processing rules S according to an environmental condition B '(see FIG. 2) determined by each sensor information B, and a control rule C.
(Ci to Cj) are determined. The processing rule defining means 4
Function value G related to fire information D for each sensor information B
, And a plurality of processing rules S for determining the function F (Fg to Fh) to be executed.

The processing means 5 processes the sensor information B on the basis of the function F corresponding to the plurality of sets of processing rules S selected by the control rule C to obtain a plurality of sets of function values G, and each function. A plurality of fire information D is generated by comprehensively processing the value G based on fuzzy inference and aggregating the information. Therefore, in addition to the function value aggregating unit 5A that aggregates the function values G (see FIG. 2), the processing unit 5 executes a function F corresponding to the selected processing rule S to obtain a function value G. Including.

Reference numeral 6 is a judging means for judging an abnormality based on a plurality of fire information D corresponding to a plurality of sets of processing rules S and functions F, and 7 is an alarm in response to the abnormality judgment result E from the judging means 6. It is a display means. The determination means 6 is the processing means 5
The abnormality determination is performed based on the information aggregation result of the function value aggregation unit 5A, that is, the fire information D, and a final abnormality determination result E is generated.

Incidentally, the judging means 6 uses a plurality of sets of processing rules S.
The abnormality determination result E may be sequentially changed in response to the fire information D sequentially generated from the processing means 5 by the function F corresponding to each. In this case, the display means 7 sequentially changes and displays the abnormality level in response to the abnormality determination result E.

FIG. 3 is a block diagram showing an example of the system configuration of FIG. DE1 to DEN are fire sensors that detect fire phenomena, CL is a clock that gives time information, AS1 to ASN
Is a ventilation rate sensor for detecting the ventilation rate Nk within a predetermined time, and MS1 to MSN are occupancy sensors for detecting the number P of persons in each room, which constitute the sensor means 1. R
E is a fire receiver connected to the sensor means 1 and constitutes the above-mentioned information acquisition means 2 to display means 7. L1
L3 is a transmission line that connects each sensor group and the fire alarm receiver RE. The clock CL may be configured by the clock in the fire receiver RE.

Each of the fire sensors DE1 to DEN has the same structure, includes a microprocessor MPU2, an amplifier, a sample hold circuit, an analog-digital converter, etc., and detects a physical quantity of heat, smoke, gas, etc. Means FS and interface IF22 for inputting the detected fire phenomenon to the microprocessor MPU2
And a program storage unit ROM21 in which an operation program of the microprocessor MPU2 is stored, a work storage unit RAM21 during the operation of the program, a self-address storage unit ROM22, and the result of the fire phenomenon processing by the microprocessor MPU2 is polled and output. An input / output interface IF21 and a signal transmitting / receiving unit TPX21 for transmitting / receiving a signal to / from the microprocessor MPU2 via the interface IF21 are provided.

The ventilation frequency sensors AS1 to ASN and the number of people sensors MS1 to MSN are the fire sensors DE1 to D, respectively.
The block having the same configuration as EN and corresponding to the fire phenomenon detecting means FS may be replaced with the ventilation frequency detecting means or the number of people detecting means, respectively. The number N of sensors in each sensor group corresponds to the number of rooms, for example.

The fire receiver RE is a microprocessor M
PU1, a program storage unit ROM11 in which an operation program of the microprocessor MPU1 is stored, and a control rule storage unit ROM12 in which a control rule C is stored.
And the individual rule storage unit RO in which the processing rule S is stored
M13 and a definition function storage ROM14 in which a function F corresponding to each processing rule S is stored. As shown in FIG. 2, each function F is, for example, a function with respect to the sensor level SLV, the integrated value ΣSLV, the time T, or the like.

Further, the fire receiver RE includes each fire sensor DE.
Sensor level storage unit RAM11 in which the sensor level SLV collected from the sensor level SLV is stored, and the sensor level integrated value ΣS
Integral value storage unit RAM12 in which LV is stored, usage rule number storage unit RAM13 in which the number of rules used for the first fire information processing is stored, and total definition function value in which total function value ΣG is stored A storage unit RAM 14, a work area storage unit RAM 15, and an abnormal use rule number storage unit RAM 16 for storing the number of rules used for the second fire information processing when the first abnormality determination result is abnormal; It is provided with a definition function value storage unit RAM 17 at the time of abnormality in which the function value obtained in the process of the first time is stored. Each storage unit ROM11
~ ROM14 and RAM11 ~ RAM17 are coupled to the microprocessor MPU1 via a bus.

Further, the fire receiver RE is provided with each transmission line L.
1 to L3, signal display units TRX11 to TRX13 connected to the respective sensor groups, and a display device D including a CRT and the like.
P, the operation unit OP, and the signal transmission / reception units TRX11 to TR
It is provided with X13, a display DP, a clock CL and interfaces IF11 to IF16 for coupling the operating part OP to the microprocessor MPU1.

FIG. 4 is a characteristic diagram showing an example of the function F stored in the form of a table in the definition function storage ROM 14, in which the abscissa indicates the sensor information and the ordinate indicates the function value (0 to 1). Each function value represents the fire accuracy for each sensor information value.

In FIG. 4, (a) to (f) are addresses AD1 to AD6 defined by the processing rules Sa to Sf.
(A) is a function F1 for the sensor level SLV.
In (SLV) and (b), the sensor level is a predetermined level LV1.
Function F2 (t), (c) for time t since
Is a function F3 (Δ for the sensor level difference value ΔSLV
SLV), (d) is a function F4 (ΣSLV) for the sensor level integrated value ΣSLV, (e) is a function F5 (Nk) for the ventilation rate Nk, and (d) is a function F for the number of people P.
6 (P) is shown respectively.

In the storage ROM 14, the functions F1 to F1
It goes without saying that not only F6 but also various functions are defined. Further, it is desirable that the control rule C, the processing rule S, and the function F in each of the storage units ROM12 to ROM14 can be rewritten when necessary such as when the environmental condition B'changes.

Next, the operation of the first embodiment of the present invention shown in FIGS. 1 to 3 will be described with reference to the characteristic diagram of FIG. 4 and the flow charts of FIGS. First, the fire receiver RE clears the variable n for counting to 0 (step 10
After 2), the variable n is incremented (step 10
4) Read each sensor level SLVn from the fire sensors DE1 to DEn as environmental state data (step 10)
6).

Subsequently, the read sensor level SLVn
Is compared with a predetermined level LV1 to determine whether the sensor level SLVn is equal to or higher than the predetermined level LV1 (step 10).
8). If the determination result is NO (SLVn <LV1), the timer counter Tq is reset to 0 (step 110) and the process proceeds to step 157 in FIG.

On the other hand, the determination result of step 108 is YES.
If (SLVn ≧ LV1), the timer counter Tq is incremented (step 112), and the sensor level S
The LVn is stored in the RAM 11 (step 114). The value of the timer counter Tq is the nth sensor level SLV.
It indicates the number of times n has continuously exceeded the predetermined level LV1, that is, the time (for example, 3 seconds × Tq), and is used as sensor information like other integrated values ΣSLV and the like.

Then, the difference value ΔSLV of the sensor level SLVn for a certain period of time is calculated (step 116), and the integrated value ΣS after the sensor level SLVn exceeds a predetermined level.
Calculate the LV (step 118).

Here, the difference value ΔSLV is, for example, the difference between the sensor level collected this time and the sensor level collected last time regarding the same fire sensor among the sensor levels SLV already stored in the memory unit RAM11. It is obtained by dividing by the time difference between and.

The integrated value ΣSLV is, for example, a predetermined level LV1 every time a sensor level SLVn of a predetermined level LV1 or higher is collected for the fire sensor to be investigated.
The above value (SLVn-LV1) is added and updated.

Then, the time Time is read from the clock CL via the interface IF13 (step 12).
0), the ventilation frequency Nk is read through the interface IF14 (step 122), and the number of persons P is read through the interface IF15 (step 124).

The reason why the time Time is read in step 120 is that, for example, the fire accuracy for the same sensor level is high in the midnight time when there are few people, and the fire accuracy (function value) differs depending on the time of day. Similarly, when the number of ventilation times Nk is large, the fire probability is high as shown in FIG. 4E, and when the number of people P is small, the fire probability is high as shown in FIG.
At 22 and 124, the ventilation frequency Nk and the number of persons P are read.

As described above, when the sensor level SLVn exceeds the predetermined level LV1, the sensor information processed in steps 116 and 118 is calculated, and
Various sensor information is collected by each of steps 120 to 124. The processing operation by the information acquisition unit 2 described above is repeatedly executed every time the process returns from step 157 to step 104 described later until the number of sensors N of each sensor group is reached.

When the collection and calculation (FIG. 5) of the sensor information B related to the sensor level SLVn are completed, the control means 3 subsequently executes the processing of FIG. First, time Tim
Based on the information such as e and the ventilation frequency Nk, it is determined which of the control rules C in the storage ROM 12 should be used so as to satisfy the environmental condition B '(step 126).

For example, the time Time is the time zone T1 to T2.
Number of ventilations N in the room to be surveyed in which the sensor is installed
If k is a value indicating a sufficient ventilation state, control rule 1
(See FIG. 2) is adopted.

In this case, in the storage area of the control rule 1, the processing rule names a, b, d, e and the storage ROM 13 are stored.
Addresses of the processing rules Sa, Sb, Sd, and Se in the above and the number of rules R (= 4) are stored, and these are read and stored in the storage unit RAM 13 (step 1
28). Like the conceptual lines C1 to C4 in FIG. 2, the storage location of the processing rule S corresponding to the control rule 1 (Ci) can be known from the addresses of the processing rule names a, b, d, and e. it can.

At this time, the processing means 5 clears the variable r for counting the processing rule to 0 (step 130), then increments the variable r (step 132), and the storage unit R
The head address AD of the storage ROM 14 in which the function F corresponding to the r-th processing rule S in the OM 13 is stored is read (step 134).

For example, when the processing rule Sa is selected with r = 1, the function F1 (SL) in the storage ROM 14 is selected.
The leading address AD1 of the storage area V1) is read. Then, the sensor information value used in the processing rule Sa, that is, the latest sensor level SLV stored in the storage unit RAM11.
1 is added to the start address AD1 and this address AD1
Use + SLV1 to read the contents of the storage area of function F1,
The total is stored in the storage unit RAM 14 (step 13).
6).

At this time, the function F1 (SLV) is as shown in FIG.
It consists of the function value table as shown in (a), and has the address AD
The value corresponding to 1 + SLV1 indicates the function value at the sensor level SLV1. Hereinafter, it is determined whether or not the variable r has reached the number R of rules (step 138), and if it has not reached the number R of rules, the process returns to step 132, and the function value of the function F referred to in the next processing rule S is determined. Read repeatedly.

When the variable r reaches the number R of rules, the value To stored in the storage unit RAM 14 for the total function value
After reading tal (step 140), calculating Total / R and updating it as an averaged total value Total (step 142), the total value Total (ΣG) is displayed on the display device DP as fire information D (step). 14
4).

As shown in FIG. 2, when four processing rules Sa, Sb, Sd and Se are selected by the control rule 1, the total value Total is expressed as follows.

Total = {F1 (SLV1) + F2
(T1) + F4 (ΣSLV) + F5 (Nk)} / 4

Although the fire information D is obtained by simply averaging the total value Total here, the fire information D may be generated by weighting a specific function value.

Next, the judging means 6 determines the total value Total.
The processing of FIG. 7 is executed based on (fire information D). First, it is determined whether or not the total value Total is greater than or equal to the predetermined value α (step 145), and the determination result is NO (Total <
If α), the process proceeds to step 157, and it is determined whether the variable n has reached the number N of sensors.

If the determination result of step 157 is NO.
If (n <N), the process returns to step 104 for incrementing n (see FIG. 5), and if YES (n = N), the process returns to step 102 for clearing n to 0. At this time, since the total value Total indicating the fire information D is sufficiently small, the fire accuracy is low, and no abnormality or fire is displayed.

On the other hand, the determination result of step 145 is YES.
If (Total ≧ α), the abnormality determination result E indicating that the room corresponding to the nth sensor is in a fire is generated, and the fire is displayed on the display DP (step 146).
The abnormality determination result E is also input to the control means 3.

Then, the control means 3 stores the ROM of the control rule C in order to perform the second function processing for confirmation.
From 12, the control rule K (Cj) at the time of abnormality is read,
Processing rule name to be selected (for example, a to e: see FIG. 2)
And the number of rules Re (= 5) are stored in the use rule number storage unit RAM 16 at the time of abnormality (step 147).

Then, as in the case of the first function processing, the processing means 5 clears the variable w to 0 (step 14).
After 8), the variable w is incremented (step 14
9), the start address AD in the storage ROM 14 of the function F corresponding to the w-th processing rule S in the storage ROM 13.
Is read (step 150), and the address (AD +) is obtained by adding the sensor information B used in the w-th processing rule S.
The contents of the storage unit ROM 14 of B) are read and stored in the function value storage unit RAM 17 at the time of abnormality in total (step 151).

Then, it is judged whether or not the variable w has reached the number Re of rules (step 152), and if the judgment result is NO.
If (w <Re), the process returns to step 149 and the above processing operation is repeated. If the determination result is YES (w = Re), the value stored in the storage unit RAM 17 (the number of rules Re
The value obtained by dividing by) is read as the total value Total2 for the second time (step 153), and is displayed on the display DP (step 154).

Further, it is judged whether or not the total value Total2 of the second time is the second predetermined value β or more (step 155). If the judgment result is NO (Total2 <β), it is related to the nth sensor. Change the room display from "fire" to "abnormal"
(Step 156) and the process proceeds to step 157.

That is, if the second abnormality determination result E is smaller than the second predetermined value β, the fire display (step 146) based on the first abnormality determination result E is considered to be unreliable, and the Can be switched to a low-risk error display. On the other hand, the determination result of step 155 is YES (To
If tal2 ≧ β), the fire display based on the first abnormality determination result E is considered to be highly reliable, and step 1
Skip 56 and continue the fire display.

In step 156, "fire confirmation" or "fire?" May be displayed. In this way, it is possible to read the processing rule that is controlled at the time of abnormality after the first abnormality determination, perform the second abnormality determination using the new processing rule, and check again.

Example 2. In the first embodiment, in response to the abnormality determination result E, the control means 3 selects a processing rule and a function different from the processing rule previously selected and controlled by the control rule Cj at the time of abnormality. However, irrespective of the abnormality determination result E, the function value according to the preselected abnormality processing rule may be always obtained. In this case, 1
The determination results of the second time and the second time are equivalent, and the result of the first time is not considered when generating the result of the second time.

Further, the first abnormality judgment result E is abnormal (To
Fire indication (step 14)
6) The second abnormality determination result E is normal (Total2 <
The description has been made by taking the case of displaying the abnormality (step 156) when indicating β) as an example. However, if the abnormality is judged for the first time, the abnormality is displayed, and if the abnormality is judged again for the second time, the fire is displayed. Good.

In this case, a "fire forecast" is displayed when an abnormality is determined in the first determination, and the content of the abnormality is checked by another processing rule selected in the second response in response to this abnormality result, and further, If it is judged to be abnormal, a "fire alarm" is displayed and the display height of the abnormal level can be changed. That is, the determination unit 6 checks the abnormality content based on the changed second processing rule, collects the height (degree) of the abnormality together with the abnormality content of the first time, and displays it on the display device DP. .

Further, although the case where the abnormality determination is executed twice has been shown, the number of times of execution of determination can be set arbitrarily. For example, select multiple processing rule sets that are different from each other,
The second and subsequent judgments are made for each required item such as "Danger", "Kun-yaki or flaming", "Poison gas generation", "Breathing is allowed", etc. Good.

Example 3. Further, in the first embodiment, only the second determination is made in response to the first determination result, and the contents of the first and second processing rules are not particularly considered in association with each other. The different processing rule may be optimally selected depending on the control rule responding to the content of the abnormality determination result E. In this case, the processing means 5 and the determination means 6 can check the details of the abnormality in more detail based on the second different processing rule.

Next, the operation of the third embodiment (corresponding to claim 3) of the present invention will be described with reference to the flow charts of FIGS. 8 and 9. 8 and 9 show the first embodiment.
5 corresponding to FIGS. 5 and 7, respectively, and step 110a in FIG. 8 and step 146a in FIG.
Only 147a and 156a are different from the above. or,
The operation flow from FIG. 8 to FIG. 9 is the same as that in FIG.

In this case, even if it is determined in step 108 that the sensor level SLVn is less than the predetermined level LV1, the timer counter Tq is cleared to 0 (step 110).
After performing a), the process proceeds to step 114, and the sensor information collection process (steps 114 to 124) and the abnormality determination process (steps 126 to 145) are always executed.

In step 145, YES (T
If it is determined that total ≧ α), “fire forecast display” is performed for the room in which the n-th sensor is installed (step 146a), and control is performed according to the content of the abnormality determination result E (Total). The processing rule name and the number of rules at the time of abnormality are read from the storage unit ROM 12 of the rule C and stored in the storage unit RA.
The data is stored in M16 (step 147a).

Thereafter, in step 155, if the result of the second determination is YES (Total2 <β), "fire alarm display" is displayed for the room in which the nth sensor is installed.
Is performed (step 156a), and the process proceeds to step 157.

In this case, the abnormality determination result E of the first time and the display thereof generated in steps 145 and 146a are rough, and the determination result of the first time is taken into consideration when the processing rule of the second time is selected. The second abnormality determination result E and its display at 156a and 156a are detailed and may be tailored to a particular desired purpose. In this way, by using the abnormality determination result of the first time for the selection control of the processing rule used for the second time and freely changing the combination of the processing rules of the second time, various flexible systems can be constructed. can do

Example 4. (Corresponding to Claim 4) In the third embodiment, the processing time required for the abnormality determination is not particularly taken into consideration. Means for reducing may be provided. In this case, by shortening the processing time of the first time, it is possible to prevent saturation of the monitoring processing capacity of the fire receiver RE side.

That is, the number of selections of the first processing rule is set to be small to easily detect an abnormality, and thereafter, as in the case of the third embodiment, the second processing rule is determined from the first rough abnormality determination result E. Is selected to generate a detailed determination processing result.

[0072]

As described above, according to claim 1 of the present invention, a plurality of sensor means for detecting various environmental conditions related to a fire phenomenon, and environmental conditions and processing information of the environmental conditions are collected as sensor information. And an information acquisition unit that defines a plurality of functions that give a function value related to fire information for each sensor information, and a processing rule definition unit that defines a plurality of processing rules for determining the function to be executed. , Based on the control means for determining the control rule for selecting the required number of processing rules according to the environmental conditions determined by each sensor information, and the function according to the processing rule selected by the control rules, Processing means for processing the sensor information to obtain a function value, and processing means for comprehensively processing each function value based on fuzzy inference to aggregate information to generate fire information. And a display means for giving an alarm in response to the abnormality determination result from the determination means, and the control means selects a plurality of sets of processing rules based on the environmental conditions, The means obtains a plurality of sets of function values corresponding to a plurality of sets of processing rules, and generates a plurality of fire information in which information is aggregated for each of the plurality of sets of function values,
The determination means makes an abnormality determination based on a plurality of pieces of fire information, confirms the result of the first abnormality determination by collecting information a second time based on different processing rules with different angles, and based on a plurality of sets of fire information. Since the final abnormality determination result is obtained as a result, a fire alarm device with improved abnormality determination accuracy can be obtained.

According to a second aspect of the present invention, in the first aspect, the processing means sequentially generates fire information corresponding to each of a plurality of sets of processing rules, and the determining means determines the plurality of fire information. Since the determination means sequentially changes the abnormality determination result in response to each fire information, the fire alarm device improves the abnormality determination accuracy and enables the stepwise abnormality display. There is an effect that can be obtained.

According to Claim 3 of the present invention, in Claim 1 or Claim 2, the control means determines the second time based on the content of the abnormality determination result by the processing rule of the set selected at the first time. By determining the processing rule of the selected set and obtaining the detailed, accurate and reliable second abnormality determination result, while improving the abnormality determination accuracy and enabling the stepwise abnormality determination, a fire alarm. There is an effect that the device can be obtained.

According to claim 4 of the present invention, in claim 3, the number of processing rules of the set selected first is set to be smaller than the number of processing rules selected second. Since the rough abnormality determination is performed for the first time, it is possible to obtain the fire alarm device that improves the abnormality determination accuracy, enables stepwise abnormality determination, and reduces the processing time.

[Brief description of drawings]

FIG. 1 is a block diagram showing a schematic functional configuration of a first embodiment of the present invention.

FIG. 2 is an explanatory diagram showing a relationship among control rules, processing rules, functions, and fire information according to the first embodiment of the present invention.

FIG. 3 is a block diagram showing a system configuration of a first embodiment of the present invention.

FIG. 4 is a characteristic diagram showing an example of a function used in the first embodiment of the present invention.

FIG. 5 is a flowchart showing a sensor information collection processing operation according to the first embodiment of the present invention.

FIG. 6 is a flowchart showing a processing rule selecting operation according to the first embodiment of the present invention.

FIG. 7 is a flowchart showing an abnormality determination processing operation and a second processing rule selection operation in the first embodiment of the present invention.

FIG. 8 is a flowchart showing a sensor information collection processing operation according to the third embodiment of the present invention.

FIG. 9 is a flow chart showing an abnormality determination processing operation and a second processing rule selecting operation according to the third embodiment of the present invention.

[Explanation of symbols]

1 Sensor Means 2 Information Acquisition Means 3 Control Means 4 Processing Rule Definition Means 5 Processing Means 5A Information Aggregation Unit 6 Judgment Means 7 Display Means A Environmental Status B Sensor Information B'Environmental Conditions C Control Rules Ci, Cj Multiple processing rules Control rule to be selected D Fire information E Abnormality determination result F function G Function value S Processing rule 104 to 124 Step of collecting sensor information 126 Step of determining processing rule of group to be selected at first time 147, 147a Selected at second time Of determining the processing rules for the set

Claims (4)

[Claims] 1. A plurality of sensor means for detecting various environmental states related to a fire phenomenon, an information acquisition means for collecting the environmental state and processing information of the environmental state as sensor information, and for each of the sensor information. And a plurality of functions that give function values related to fire information, and a processing rule defining unit that defines a plurality of processing rules for determining a function to be executed, and an environmental condition determined by each sensor information. A control means for determining a control rule for selecting a required number of processing rules according to, and based on a function according to the processing rule selected by the control rule, the sensor information is processed to obtain a function value. And a processing means for generating the fire information by comprehensively processing the respective function values based on fuzzy inference to aggregate the information, and the fire information. In a fire alarm device comprising a judging means for judging an abnormality based on the judgment means and a display means for giving an alarm in response to the abnormality judgment result from the judging means, the control means comprises a plurality of sets based on the environmental conditions. Select a processing rule, the processing means, while obtaining a plurality of sets of function values corresponding to the plurality of sets of processing rules, to generate a plurality of fire information information is aggregated for each of the plurality of sets of function values, the determination A fire alarm device, characterized in that the means determines an abnormality based on the plurality of pieces of fire information. 2. The processing means sequentially generates the plurality of fire information, and the determination means sequentially changes the abnormality determination result in response to each of the fire information. Fire alarm device 1. 3. The control means determines the processing rule of the second set to be selected based on the content of the abnormality determination result by the processing rule of the first selected group. The fire alarm device according to claim 2. 4. The fire alarm device according to claim 3, wherein the number of processing rules of the set selected for the first time is set smaller than the number of processing rules selected for the second time.