JP2756276B2 - Fire alarm - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION [Industrial Application Field] The present invention detects a plurality of physical quantities such as heat, smoke, and gas based on a fire phenomenon, and performs fire monitoring by comprehensively judging those physical quantities. It is about.

[Prior Art] A method of judging a fire by comprehensively judging data from a plurality of or different types of fire detectors, or a method of determining the number of heat, smoke, gas, etc. in one fire detector. Many methods have been proposed so far in a multi-element fire detector including a sensor part of an element to determine a fire by comprehensively judging all data of each sensor part. For example, there is a device that determines that a fire has occurred if the integrated value or the multiplied value of the sensor output of each element exceeds a certain value. In some cases, the output value of each sensor is substituted into a specific function, and a fire is determined when the output value exceeds a certain value. Another method is to define the relationship between input and output in a table, search the table from each sensor output, extract the value that matches, and then determine whether or not the value exceeds a certain value. is there.

 Each of the above methods has the following disadvantages.

(A) Method by integration or multiplication of each sensor Although simple in principle, it is too simple to handle a fire phenomenon and has a drawback of lacking reliability.

(B) Function-based method To monitor the entire fire phenomenon from smoldering fire to flaming fire, it is impossible to use one function, and it is necessary to use multiple functions. Since the switching is performed, the final output becomes discontinuous. In addition, since only one result can be output as a function, if it is desired to obtain a plurality of results, for example, fire accuracy, danger, etc., only as many functions as the number of results are required. Also, it is very difficult to obtain a desired function immediately when it is desired to change or add an input / output definition.

(C) Table method Since the input values and results of each sensor are defined using a ROM or the like, it is good if all input means match, but if only some of the sensors satisfy the conditions, the partial pattern -It is necessary to interpolate between gaps that are not in the definition table by a matching method or the like. However, if the number of sensor inputs is large, the number of interpolations becomes very complicated. Also, the table itself needs to be defined closely.

[Means for Solving the Problems] In order to solve the above problems, according to the present invention, detection information output from a plurality of fire phenomenon detection means is signal-processed to obtain a plurality of fire information. In a fire alarm apparatus that performs various fire diagnoses based on information, a definition table storing a specific set of detection information and a set of fire information to be obtained when the specific set of the detection information is given And each detection information can be weighted according to the degree to which each detection information contributes to each fire information, and when the detection information is input, a corresponding weight is assigned to each detection information. Performing, based on the weighted detection information, a signal processing network configured to calculate each of the fire information, and a specific set of the detection information in the definition table is provided to the signal processing network. When calculated Adjusting means for adjusting the weight so that each piece of the fire information to be approximated to the set of the fire information in the definition table is provided.

In a specific embodiment, it is preferable that a storage area for storing the adjusted weights is provided. In this case, the processing network stores, for each detection information, a value read from the storage area. And the above calculation is performed.

Also, the signal processing network does not directly calculate fire information from the input detection information, but rather calculates intermediate information once from the detection information and calculates fire information from the intermediate information in a hierarchical manner. It is preferable to perform it.
The hierarchy can have a plurality of stages, and the number of intermediate information to be calculated in each intermediate hierarchy is arbitrarily set. For example, when the hierarchy has two stages of input-intermediate and intermediate-output, first, each of the input information, that is, the detection information is individually weighted, and the respective intermediate information is calculated.
Next, output information, that is, fire information is calculated by performing individual second weighting on each piece of the intermediate information. The value of each intermediate information is not important, and the signal processing network firstly adjusts the first and second weighting values by the adjusting means so that the relationship between the input information and the output information approximates the contents of the definition table. Adjusted for.

[Operation] First, the adjusting unit weights the input / output values shown in the definition table so as to minimize the error, thereby informing the signal processing network of the contents of the definition table. Once a signal processing network is formed in this way, the signal processing network can output a desired output value for all input values, and therefore, an input that is not defined in the definition table. It can handle combinations of values, and shows a value close to the desired output value.

As described above, when defining the input / output relationship, it is not necessary to define all the combinations, and it is sufficient to define each important point. In addition, a singular point where the output value changes greatly due to a slight deviation of the input value,
If it is necessary to describe the vicinity of the maximum point in detail, the surroundings can be defined in detail, and the other parts can be roughly defined.

Also, if you want to change the relationship between input and output, there are cases where a different output value is defined for the input value defined so far, and a case where the definition is made for an undefined area so far. The definition can be easily changed by running the adjusting means (net structure creation program). That is, by changing the definition, accurate fire judgment, danger judgment, and the like can be performed.

EXAMPLES Examples of the present invention will be described below.

FIG. 1 shows a sensor level of an analog physical quantity based on a fire phenomenon detected by each fire detector, which is sent to a receiving means such as a receiver or a repeater, and the receiving means based on the collected sensor level. FIG. 2 is a block circuit diagram in a case where the present invention is applied to a so-called analog fire alarm device that makes a fire judgment. Of course, the present invention is also applicable to an on / off type fire alarm device in which each fire detector makes a fire judgment and sends only the result to the receiving means.

In FIG. 1, RE is a fire receiver, and DE _{1 to} DE _N are N analog multi-elements connected to the fire receiver RE via a transmission line L such as a pair of power / signal devices. It is a fire detector, only one of which shows the internal circuit in detail. It is not necessary that all N fire detectors be multi-element fire detectors, and a set of a plurality of types of fire detectors may be used for one multi-element fire detector. Therefore, hereinafter, the n-th fire detector (n = 1 to N) refers to one multi-element fire detector and to a set composed of a plurality of types of single-element fire detectors. And both cases.

In the fire receiver RE, the MPU 1 is a microprocessor, the ROM 11 is a program storage area storing programs described later in FIGS. 4 to 7 related to the operation of the invention, and the ROM 12 is a fire discriminator for all fire detectors. Various constant table storage areas for storing various constant tables such as standards, ROM13 is a terminal address table storage area that stores the address of each fire detector, RAM11 is a work area, and RAM12 is all fire detectors. RAM 13 is a storage area for weight values for storing the weight values of signal lines for all fire sensors, and TRX1 is a serial / parallel storage area. A signal transmitting / receiving unit composed of a converter and a parallel / serial converter, etc., DP is a display such as a CRT, KY is a numeric keypad for learning data input described later, IF11, IF12 and IF13 are , Interface,.

In the multi-element fire detector DE ₁ , MPU2 is a microprocessor, ROM21 is a program storage area, ROM22 is a self-address storage area, RAM2 is a work area, and FS is a fire phenomenon detection means. For example, it comprises a smoke sensor unit FS ₁ which may be a scattered light type, a temperature sensor unit FS ₂ which may have a thermistor, and a sensor unit such as a gas sensor unit FS ₃ having a gas detecting element.
Although not shown, each of the sensor units FS ₁ , FS ₂ and FS ₃ has an amplifier, a sample-and-hold circuit, an analog / digital converter, and the like.

 TRX2 is a signal transmitting and receiving unit similar to TRX1, and IF21, IF22, IF23 and IF24 are interfaces.

FIG. 1 shows a case where the first multi-element fire detector DE ₁ has three sensor units as fire phenomenon detection means inside, but the number and types of the sensor units are not limited to this. However, the number and type of sensor units can be changed for each multi-element fire detector, and in the case of a set using multiple fire detectors, the number and type of fire Can be changed.

Subsequently, the operation according to the embodiment of the present invention will be described with reference to FIGS.
The operation will be described first with reference to the drawings.

The present invention is based on signals from a plurality of sensor units (or a plurality of fire detectors in the case of a set) for detecting different types of physical quantities based on a fire phenomenon. The purpose of the present invention is to perform a diagnosis quickly and correctly, and its operation will be described first with reference to FIGS. 2 and 3. FIG.

As an example, a smoke sensor unit as the first sensor unit and a second sensor unit
When three sensor units, a temperature sensor unit as a sensor unit and a gas sensor unit as a third sensor unit, are used,
A description will be given of a case where three fire judgment values of fire accuracy, danger, and smoked fire accuracy are obtained according to the sensor level of each sensor unit.

FIG. 2 represents a table of three true or fairly accurate fire decision values for twelve sensor levels of such three sensor units, such a table comprising a fire detector. Alternatively, it can be created accurately by an experiment or the like for each characteristic (including the number and type of the sensor units) in the group, for each installation location, and the like. However, it is practically impossible to create such a table by experiment or the like for all values, not only for several (for example, 12) of three sensor levels. According to the operation of the present invention described below, it is possible to obtain accurate fire judgment blood for all sensor level values.

In FIG. 2, the sensor levels of the smoke sensor unit, the temperature sensor unit, and the gas sensor unit are shown in the three columns on the left side, respectively, and the left column by the three sensor units is shown in the three columns on the right side. Fire accuracy T ₁ , risk T _2, and smoldering fire accuracy T ₃ according to the sensor level indicated in the frame are 0 to 1
Indicated by The sensor levels of the respective sensor units shown in the three columns on the left side are also converted to values of 0 to 1. In this case, for example, 0 to 1 of the smoke sensor unit indicates that the smoke level detected by the smoke sensor unit is 0. The concentration corresponds to 0 to 20% / m, the temperature sensor 0 to 1 corresponds to the temperature rise rate 0 to 10 ° C./min detected by the temperature sensor unit, and the gas sensor unit 0 to 0%. It is assumed that 濃度 1 corresponds to the concentration of carbon monoxide CO detected by the gas sensor unit of 0 to 100 ppm.

Now, assume a net structure as shown in FIG. 3 to explain the operation according to the present invention. The purpose of this net structure is to give the sensor level of each sensor unit to the input layer and obtain accurate fire judgment values from the output layer. It is assumed that. In the net structure of FIG. 3, the left three IN ₁ , IN ₂ and IN ₃ are called input layers.
In this embodiment, the signals from the smoke sensor, the signal from the temperature sensor, and the signal from the gas sensor, which are converted into 0 to 1, are input to these input layers. Also, if it is called the right OT _1, OT ₂ and OT ₃ and the output layer, in the present embodiment, these output layer, and the fire probability represented by 0-1, respectively, and risk, smoldering The accuracy of the fire is output. When a call to IM ₁ to IM ₅ to 5 is shown as an example the intermediate layer, the intermediate layers IM ₁ to IM ₅ each input layer IN
With receives a signal from ₁ to IN _3, it is assumed that outputs a signal for each output layer OT ₁ ~OT _3. It is assumed that the signal always travels from the input layer to the output layer, that there is no signal coupling in the reverse direction or between the same layers, and that there is no direct signal coupling from the input layer to the output layer. Therefore, as shown in FIG. 3, there are 15 signal lines from the input layer to the intermediate layer, and there are also 15 signal lines from the intermediate layer to the output layer.

These signal lines shown in FIG. 3 change their weights or coupling degrees depending on the values to be output from the output layer in accordance with the signals input from each input layer. The signal on the line is better. The weight values of the 15 signal lines between the input layer and the intermediate layer and between the intermediate layer and the output layer are stored in the respective fire detector areas in the weight value storage area RAM 13 shown in FIG. The stored contents are changed according to the relationship between the input and output.

Specifically, by the net creation program described later,
Smoke sensor unit 3 field on the left side of FIG. 2 table, the temperature sensor unit, the input layer IN ₁ each input of the gas sensor unit, I
N ₂ , IN ₃ and output layers OT ₁ , O
The values output from T ₂ and OT ₃ are used as the teacher signals or the fire accuracy as learning data shown in the three columns on the right side of FIG.
The values are compared with the values of T ₁ , the risk T ₂ , and the accuracy T ₃ of the smoldering fire, respectively, and the weight of each signal line is changed so as to minimize the error. In this way, it is possible to teach the net structure of FIG. 3 a very close approximation of the whole function of the table of FIG. 2, which is shown only at 12 points.

Now, the weight value between the input layer INi and the intermediate layer IMj is And the weight between the intermediate layer IMj and the output layer OTk is (I = 1 to 3, j = 1 to 5, k = 1 to
3), weight value Has positive, zero, and negative values, respectively. If the input values in the input layer INi are represented by INi, the total sum NET ₁ (j) of the inputs to the hidden layer IMj is This value NET ₁ (j) is converted to a value of 0 to ₁ by, for example, a sigmoid function, and is converted to IMj
If it is expressed by Becomes Similarly, the sum NET of inputs to the output layer OTk
₂ (k) When this value NET ₂ (k) is converted to a value of 0 to 1 by the sigmoid function and expressed as OTk, Becomes Thus, the relationship between the input values IN ₁ , IN ₂ , IN ₃ and the output values OT ₁ , OT ₂ , OT ₃ in the net structure of FIG. It is represented as
Here, γ ₁ and γ ₂ are adjustment coefficients of the sigmoid curve, and are appropriately selected as γ ₁ = 1.0 and γ ₂ = 1.2 in the present embodiment.

In the net creation program, first, the smoke sensor unit input I indicated in the RAM 12 of FIG.
When _{one of} the combinations of N ₁ , temperature sensor unit input IN ₂ , and gas sensor unit input IN ₃ is given to the input layer, it is calculated by the above equations 1 to 4 and output from the output layer. The actual outputs OT ₁ , OT ₂ , OT ₃ are compared with the teacher signal outputs T ₁ , T ₂ , T ₃ shown on the right side of FIG. ₂ , respectively, and the sum of the respective errors in each output layer at that time is compared. Em (m = 1 to 12) is represented by the following equation.

Here, OTk is a value obtained by the above equation 4. The value E obtained by summing the sum of errors Em for all 12 combinations of the table in FIG. Becomes

Finally, an operation is performed to adjust the weights of the signal lines one by one so that the value E in Equation 6 is minimized. Then, the weight values stored in each fire detection area in the storage area RAM 13 are updated with these adjusted new weight values, and are used in a normal fire monitoring operation. Such adjustment of the weight of the signal line is performed for all the fire detectors in the fire alarm device.

When the education of the table shown in FIG. 2 for the net structure conceptually shown in FIG. 3 is completed, that is, when the adjustment of the weight value of each one is completed, at the time of actual fire monitoring, the net calculation program described later uses The input values from each sensor unit are given to the net structure, and the equations obtained from each output layer are obtained by calculation using the above-mentioned equations 1 to 4, and the calculated values are respectively calculated for the fire accuracy, the danger level, and the smoldering fire. Fire judgment is made by comparing the accuracy with the reference value of the accuracy.

FIGS. 4 to 7 are flowcharts for explaining the operation of the present invention by the program stored in the storage area ROM1 of FIG.

In FIG. 4, first, for each of the N multi-element fire detectors shown in FIG. 1 or for each set of a plurality of types of fire detectors, the net structure is arranged in order from the first fire detector. The creation program is executed.

The operation of the net structure creation program in the nth fire detector (n = 1 to N) will be described. First, the definition table described in FIG.
Is given as a teacher input or a learning input (step 404). Since the definition table differs in the number and type of multi-element sensors, installation environment, or individual characteristics of the fire detector itself for each fire detector, each multi-element fire arrestor or multiple types of fire detection It is prepared for each set of vessels.

The content of the definition table for nth fire detector is numeric keypad KY
When the program is stored in the n-th fire detector area in the storage area RAM 12 of the definition table, the flow proceeds to the execution of the net structure creation program 600 also shown in FIG.

First, the weights of the 30 signal lines between the input layer and the intermediate layer and between the intermediate layer and the output layer described in FIG. 3 and stored in the n-th fire sensor area of the storage area RAM13. Is set to a certain value (step 601). next,
Equations (1) to (6) based on the fixed weight value
, The sum of the squares of the error between the actual output value OT and the teacher output value T for all 12 combinations in the definition table of FIG. 2 (E in Equation 6) is defined as E ₀ ( Step 602).

Next, the weights of the 15 signal lines between the intermediate layer and the output layer are first set so that the total value E ₀ of the errors becomes minimum when the same definition table input is given. The operation of the main adjustment is performed (N in step 603). Since the weighting value is adjusted only between the intermediate layer and the output layer, there is no change in the values of Expressions 1 and 2 described above. First, the weight of the first signal line (Step 604), and the same calculation of Expressions 3 to 6 is performed, and the final total value E of errors obtained by Expression 6 is set to E _S (Step 605). Then the E _S, compares the total value of the previous error changing the heavy bid and E _0.

If E _S ≦ E ₀ (N in step 606), the E _S is set as a new E ₀ (step 609), and the changed weight value is set. Is stored in an appropriate position in the work area.

If E _S > E ₀ (Y in step 606), the original weight value is changed because the direction of changing the weight value is wrong. Change the weight value to the opposite side based on Using the values to calculate the E _S based on Equation 3 Equation 6 in the same manner as described above (step 607, 608), sets the value of the calculated E _S as a new E ₀ (step 609) , Changed weight value Is stored in an appropriate position in the work area.

Here, β is a coefficient proportional to | E _S −E ₀ |.

In steps 604-609, After the change adjustment for, the weights of the 15 signal lines are Are sequentially adjusted in steps 604 to 609 in the same manner.

In this way, the weight value of all signal lines between the intermediate layer and the output layer Is adjusted (Y in step 603), next, the weight of the signal line between the input layer and the intermediate layer Are also adjusted in steps 610 to 616 so that errors are similarly reduced based on all of the equations (1) to (6).

When the weights of all the signals have been adjusted (Y in step 610), the thus reduced E ₀ is compared with a predetermined value C, and if it is still larger than C (step 617). N), the process returns to step 603 to further reduce the error, and the above-described process from the adjustment of the weight between the intermediate layer and the output layer in steps 604 to 609 is repeated. When E ₀ becomes equal to or less than the predetermined value C (Y in step 617), the process goes to step 406 in FIG. 4 and the weights of the 30 adjusted signal lines are changed. It is stored in the storage area RAM 13 at the corresponding address of the area for the n-th fire detector.

In the above operation, the values of S, α, β, C, etc. are stored in the storage area ROM 12 of the various constant tables.

Since the final error of E ₀ does not become 0, the adjustment of the weight of the signal line is terminated at an appropriate place, but when the value becomes equal to or less than the predetermined value C as shown in step 617. In addition to terminating the adjustment, the number of adjustments of the weighting value may be determined in advance and automatically terminated when the number of adjustments is reached.

FIG. 8 shows the fire accuracy, danger degree, and smoke fire accuracy for the three-element sensor unit of the smoke sensor unit, the temperature difference sensor unit, and the gas sensor unit when the adjustment of steps 603 to 616 is repeated 183 times. 3 shows an example of the actually measured values of the above. Each pattern number corresponds to the pattern number in the definition table in FIG. 2, and the data in the top row in each pattern number are respectively the smoke sensor IN ₁ , temperature difference sensor IN ₂ , gas
Corresponds to the value of the sensor IN _3, the fire probability T _1, risk T ₂ of the as a teacher signal output of the second views, respectively of the data line in the middle, corresponding to the value of the accuracy T ₃ of smoldering fires And the data in the bottom row are the actual measured values OT ₁ , OT ₂ , OT ₃ of the fire accuracy, danger, and smoked fire accuracy, respectively. Also, the calculated value of the value of the above-described Expression 6 is shown in the lower right. Each weighting value when the actual measurement value of FIG. 8 is obtained is shown in FIG.

10 to 12 show that when the output G of the gas sensor is constant at 0.2, the output of the smoke sensor is taken on the X axis, and the output of the temperature difference sensor is taken on the Y axis, the fire accuracy OT is plotted on the Z axis. FIG. 1 is a diagram showing ₁ , a risk degree OT ₂ , and a smoldering fire accuracy OT ₃ .

Thus, the output values of the three sensor units and the fire accuracy,
By defining the degree of danger and the accuracy of smoldering fire as 12 patterns, even if the combination of the sensor outputs is not in the definition table, the net structure is filled in between them and the optimal output is output as the answer. Today's directive shows the case where the number of inputs and outputs to the net structure is three each, but it is possible for those skilled in the art to arbitrarily increase or decrease the number of sensor inputs and the number of outputs. It will be easily understood. As the output, various combinations such as a non-fire probability, a line-of-sight distance, a walking speed, and a fire extinguishing probability are possible.

If the weighting of the signal line is adjusted for all N fire sensors in the fire alarm device (Y in step 407), and it is determined that there is no need for relearning ( In step 408, N), the fire monitoring operation is performed sequentially from the first fire detector.

The fire monitoring operation for the n-th fire detector DEn will be described. First, a data return command is sent from the signal transmitting / receiving unit TRX1 to the n-th fire detector DEn via the interface IF11 on the signal line L (step 411). .

When the nth fire detector DEn receives the data return command,
When the fire detector DEn is a multi-element fire detector,
By the program stored in the program storage area ROM21, smoke, heat,
Batch return sensor levels based on physical quantities such as gas. In the case of a set including a plurality of fire sensors, the fire receiver RE collects sensor levels from the plurality of fire sensors in the set and makes a fire judgment based on the collected sensor levels. Matters concerning these data return methods are described, for example, in the following patent application specification filed by the present applicant.

1) Japanese Patent Application No. 63-168986, "Fire Alarm Equipment" filed on July 8, 1988 2) Japanese Patent Application No. 63-198028, "Fire Alarm Device" filed on August 10, 1988 3) Japanese Patent Application No. 63 -201861 Application for "fire alarm equipment" on August 15, 1988 4) Application for a patent entitled "fire alarm equipment" dated August 25, 1988 Return of multiple n-th fire detectors DEn from multiple sensors (Y in step 412), the returned data, that is, the sensor level is temporarily stored in the work area RAM 11 (step 413), and then the sensor level is set to a value INi (0 to 1). i = 1 to 3), and are used as the detection value IN ₁ of the smoke sensor unit, the detection unit IN ₂ of the temperature sensor unit, and the detection value IN ₃ of the gas sensor unit in this embodiment (step 414).

When the value of INi is determined, the program goes to the net structure calculation program 700 shown in FIG. 7, where NET ₁ (j) is settled according to the above-described equation 1 (step 703), and is converted into the equation 2 according to the equation 2. The value is converted to the value of IMj (step 704). IM ₁
When the value of all the IMj up to IM ₅ is determined (step
Then, NET ₂ (k) is calculated using the values of IMj in accordance with the above formula 3 (step 708), and is calculated by formula 4
(Step 709). OT _{1 to} OT ₃
When all the values of OTk are determined (Y in step 710), the process returns to the flowchart of FIG. These OT _{1 to} OT ₃
Represents the actually measured values of the probability of fire, the degree of danger, and the accuracy of the smoldering fire, respectively.

Therefore, in each step of FIG. 5, first, OT ₁ is compared with the reference value A of the fire probability read from the various constant table storage area ROM 12 (step 415). If OT ₁ ≧ A, a fire display is performed. with dividing (step 416), OT ₂ is also compared with the reference value B of the risk, which is read from the storage area ROM 12 (step 417), the danger display if OT ₂ ≧ B is performed (step 418), Then, the value of OT ₃ is displayed as the accuracy of the smoldering fire (step 419).

Thus, the fire monitoring operation for the nth fire sensor is completed, and the same fire monitoring operation for the next fire sensor is performed.

In the above description, a case has been described in which the plurality of fire phenomenon detection means forming a group are of different types, but the plurality of fire phenomenon detection means may be of the same type provided in different places (the same room or zone). In addition, the definition table may not be provided for each of the plurality of fire event detection means forming a group, but may be a common table for each group installed in a similar place.

[Effects of the Invention] As described above, according to the present invention, a net structure, that is, a signal processing network is formed by weighting the combination of input / output values shown in the definition table so as to reduce the error, and At the time of monitoring, the combination of sensor levels of a plurality of sensor units is provided to this net structure, so that accurate fire information corresponding to any given combination of sensor levels can be obtained, and therefore the accuracy can be improved. There is an effect that it is possible to make a high fire decision.

[Brief description of the drawings]

FIG. 1 is a block circuit diagram showing a fire alarm device according to an embodiment of the present invention, FIG. 2 is a diagram showing a definition table used for implementing the present invention, and FIG. FIGS. 4 and 5 are diagrams for conceptually explaining a signal processing network to be performed, FIGS. 4 and 5 are flowcharts for explaining the operation of FIG. 1, and FIG. 6 is a net structure creating program shown in FIG. 7 is a flowchart for explaining the net structure calculation program shown in FIG. 5, and FIG. 8 is a net structure creation program shown in FIG. FIG. 9 shows actual output data values of the net structure obtained in FIG.
The figure showing each weight value when the data output value of the figure was obtained,
FIGS. 10 to 12 show the fire accuracy, danger, and smoldering fire for the smoke sensor level (X axis) and the temperature difference sensor level (Y axis) when the gas sensor output is kept constant. Is a diagram showing the accuracy of each on the Z-axis. In the figure, RE
Fire receiver is the storage area of the program ROM 11, the storage of definition table region RAM 12, RAM 13 is a storage region of the heavy bid, KY learning data input ten key, DE ₁ ~DE _N fire detectors, FS1, FS2 , FS3 are smoke sensor, temperature sensor, gas sensor, IN _{1 to} IN ₃ are detection information, and OT _{1 to} OT ₃ are fire information.

Claims (1)

(57) [Claims] 1. A fire alarm device which performs signal processing on detection information output from a plurality of fire phenomenon detection means to obtain a plurality of fire information, and performs various fire diagnoses based on the fire information. And a table storing a set of fire information to be obtained when a specific set of the detection information is given, and a table in which each detection information contributes to each fire information. It is possible to weight the detection information, and when the detection information is input, perform the corresponding weighting for each detection information, based on the weighted detection information,
A signal processing network configured to calculate each of the fire information; and the fire information calculated when a specific set of the detection information in the table is given to the signal processing network. Adjusting means for adjusting the weight so as to approximate the set of the fire information.