KR100984511B1 - Method for estimating industrial disaster using situation analysis pattern in the manufacturing industry - Google Patents

Abstract

According to the present invention, the spatial identification of the detected value of the plurality of information selected from the oxygen concentration, temperature, humidity, illuminance, explosive gas, infrared, smoke, flame information detected by the fixed sensing means installed in each space in the ship under construction Receiving in association with a number; Determining whether the received detection value for each information is included in the normal range, the warning range, and the dangerous range, respectively, and normalizes the detection value for each information to a range of 0 to A using the normal range and the dangerous range. Making; Calculating the final converted value by multiplying the weights differently reflected for each information according to the degree of impact of the disaster, for each detected value for each information on which normalization has been performed, and adding the detected values for each information to which the weight is applied; Notifying the result of determination as to whether the final converted value falls within a range of a final normal range, a final warning range and a final risk range; And fix a situation analysis pattern in which the types and the reference values of some detection values are set so that an alarm situation corresponding to the detection value selected from the detection values for each information received in the detection value receiving step deviates from a previously stored reference value. Provided is a method for predicting industrial safety accidents in a manufacturing industry using a situation analysis pattern, including applying to a sensed value of a sensing means.

Manufacturing, Shipbuilding, Disaster, Prediction, Sensor, Normalization, Weighting, Situation Analysis Pattern

Description

Method for estimating industrial disaster using situation analysis pattern in the manufacturing industry}

The present invention relates to a method for predicting industrial safety accidents in a manufacturing industry using a situation analysis pattern, and more particularly, real-time detection of various disasters, such as safety accidents that may occur during ship construction, and real-time prediction of a dangerous situation. The present invention relates to a method for predicting industrial safety accidents in the manufacturing industry using a situation analysis pattern that enables rapid response in case of emergency.

In general, a very large vessel is large in size, so that overall management and monitoring of each zone within the vessel is not easy, and therefore, there is a problem that it is difficult to effectively respond to various safety accidents.

In addition, it is also possible to monitor by installing a sensor inside the ship in order to predict the fire, explosion, suffocation, etc. for each zone of the ship, but the exact fire, explosion, suffocation by simply exceeding the threshold value of each sensor Unpredictable, etc. may cause problems such as deterioration of work efficiency and waste of human and physical resources due to unnecessary alarms in a situation where there is no problem at all.

Of course, in contrast, even if a serious disaster such as fire or explosion has occurred, accurate accident identification is not carried out, and therefore, there is a problem in that rapid response is not implemented and the damage of human and physical property can be increased.

The present invention was created to solve the above-described problems, by normalizing the detection value for each sensor element installed in each space of the ship, by assigning weights according to the importance of the disaster prediction for each normalized detection value and finally adding up In addition, it is possible not only to predict disasters more reliably and to respond promptly, but also to analyze the detected values appropriate to specific situations unique to the space by using predetermined situation analysis patterns. The purpose is to provide a method for predicting industrial safety accidents in the manufacturing industry using situational analysis patterns that can be greatly reduced.

Industrial safety accident prediction method of the manufacturing industry using the situation analysis pattern of the present invention for achieving the above object, the oxygen concentration, temperature, humidity, roughness, explosiveness detected by the fixed detection means installed in each space in the ship under construction A detection value receiving step of receiving a detection value for each information regarding a plurality of pieces of information selected from gas, infrared, smoke, and flame information in association with the space identification number distinguishable for each space; It is determined whether the received detection value for each information is included in the normal range, the warning range and the dangerous range, respectively, and the detected value for each information is set to a range value of 0 to A using the normal range and the dangerous range. Normalization step of normalizing; A weighting step of multiplying the weights differently reflected for each information according to the degree of the impact of the disaster, for each detected value for each normalized information, and calculating the final converted value by summing the detected values for each information to which the weight is applied; A final result notification step of notifying a determination result regarding which range of the final converted value is included in a final normal range, a final warning range, and a final risk range; And a type of the partial detection value and a situation analysis pattern in which the reference value is set such that an alarm condition corresponding to the selected partial detection value among the detection values for each information received in the detection value receiving step deviates from a previously stored reference value. And applying a situation analysis pattern applied to the detected value of the specific fixed sensing means selected from the installed fixed sensing means.

Here, in the normalization step, using the best value for the normal range and the best value for the risk range, as shown in Equation 1, the received current current value is in the range of 0 to A, respectively. It can be normalized to a normalized value of 0 if the present detected value is less than the highest value of the normal range, and to a normalized value of A if the present value is greater than the maximum value of the risk range.

[Equation 1]

On the other hand, after the detection value receiving step, further comprising a detection result notification step of notifying the determination result for each information about whether the received detection value for each information is included in the range of the normal range, warning range and risk range can do.

In addition, the situation analysis pattern applying step, which is performed independently of the normalization step, may partially detect the partial detection by using only one or a plurality of detection values selected from among the detection values for each information received in the detection value receiving step. A situation analysis pattern storing step of setting and storing a plurality of situation analysis patterns under different conditions, in which an alarm signal corresponding thereto is generated when a value deviates from a predetermined reference value for each detected value; A situation analysis pattern selection step of selecting one situation analysis pattern to be applied to the selected specific fixed sensing means among the plurality of stored situation analysis patterns; After the detection value receiving step, it is determined whether the partial detection value corresponding to the analysis target of the selected situation analysis pattern among the detection values for each information received from the selected specific fixed detection means is out of the corresponding reference value Analyzing situation analysis pattern; And a pattern analysis warning step of generating an alarm signal corresponding to the deviation of the reference value to notify an alarm situation of the specific fixed detection means.

In the situation analysis pattern storing step, the data set in each situation analysis pattern needs to be monitored according to the type of space situation classified according to the work characteristics of each space and the space situation among the detected values for each information received. It may include a kind of some detection value, and the data about the reference value specified for each of the detection value.

The situation analysis pattern selection step may include selecting specific fixed detection means corresponding to the situation analysis target from a list of fixed detection means installed in each space, and selecting the specific fixed detection means from the list of the plurality of situation analysis patterns. Receiving a condition analysis pattern to be applied, receiving information on an application time zone of the condition analysis pattern with respect to the specific fixed detection means, and analyzing the condition analysis pattern, the corresponding time zone only for the specific fixed detection means; Analysis of deviations from baseline can be performed.

The second notification method using the situation analysis pattern analysis step and the pattern analysis warning step performed on the specific fixed detection means comprises: a first through the normalization step to the final result notification step at a time within the application time zone; In parallel with the notification method, only the first notification method may be performed at a time other than the application time zone.

On the other hand, in the situation analysis pattern selection step, after selecting a situation analysis pattern to be applied to the specific fixed detection means, input correction of the corresponding standard value applied to the selected situation analysis pattern, and applying the modified situation analysis pattern accordingly It may be possible.

According to the industrial safety accident prediction method using the situation analysis pattern according to the present invention, through the normalization of the detection value for each sensor element installed in each space of the ship, and assigning the weight according to the importance of disaster prediction for each normalized detection value The final summation can significantly reduce the damage to human and physical property in the event of an accident, as a more reliable disaster prediction and subsequent response can be achieved.

In addition, by assigning different thresholds and weights to sensor detection values for each fire, explosion, or suffocation, data calculations and risk notifications appropriate to the disaster can be performed accordingly, resulting in more accurate and reliable disaster prediction. There is a possible advantage.

In addition, by selecting and applying a predetermined situation analysis pattern, there is an advantage that an analysis of a detection value suitable for a specific situation unique to a corresponding space and an alarm according to it are possible.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. Prior to this, terms or words used in the present specification and claims should not be construed as being limited to the common or dictionary meanings, and the inventors should properly explain the concept of terms in order to best explain their own invention. Based on the principle that it can be defined, it should be interpreted as meaning and concept corresponding to the technical idea of the present invention.

Therefore, the embodiments described in the specification and the drawings shown in the drawings are only the most preferred embodiment of the present invention and do not represent all of the technical idea of the present invention, various modifications that can be replaced at the time of the present application It should be understood that there may be equivalents and variations.

1 is a flowchart of a method for predicting industrial safety accidents in a manufacturing industry using a situation analysis pattern according to an embodiment of the present invention, FIG. 2 is another flowchart of FIG. 1, and FIG. 3 is a monitoring system implemented with the method of FIG. 1 or 2. 4 is an exemplary view in which the system of FIG. 3 is disposed on a ship.

Prior to the detailed description of the industrial safety disaster prediction method according to the present invention, it will be described with reference to Figures 3 to 4 with respect to the industrial safety disaster monitoring system 100 of the ship manufacturing industry that can implement the method of the present invention.

3 or 4, the monitoring system 100 is a portable sensing means 110 is worn for each user of the predetermined space 11 in the ship 10 is being built, fixed detection installed for each space 11 Means 120, the detection value of each of the detection means (110, 120) is largely divided into a comprehensive control means 130 for predicting a disaster.

The predetermined space 11 may refer to a workspace 20 in which a user 20, that is, a worker is disposed to perform a work. In addition, the user 20 may be an operator performing a welding, assembling, or the like necessary for drying the vessel 10, but is not necessarily limited thereto, and any operation performed in the vessel 10 may be included in the contents of the operation.

First, the portable detecting means 110 is a portable sensor, the sensor unit 111 for detecting the vibration signal and the oxygen concentration information of the surrounding wear by the movement of the user 20, the detected vibration signal or oxygen concentration information is the reference range In case of leaving the vibration generating unit 112 to inform the vibration, the emergency button portion 113 is outputted by pressing an emergency signal by the user 20 in the emergency. Of course, the sensor 111 may be subdivided into a vibration sensor and an oxygen sensor.

The fixed detecting unit 120 is a fixed sensor, and is provided with a fixed sensor unit 121 and an infrared sensor 122 for detecting at least one or more information among oxygen concentration, temperature, humidity, illuminance, explosive gas, smoke, and flame in a space. do. Here, the detection by the infrared sensor 122 may correspond to the concept encompassing all the motion detection of the heating element (human body, flame, etc.) with heat generation.

The fixed sensor unit 121 may be divided into an oxygen sensor, a temperature sensor, a humidity sensor, an illumination sensor, a gas sensor, a smoke sensor, a flame sensor, and the explosive gas may be THC gas, ethylene gas, or the like.

On the other hand, the vibration signal, the oxygen concentration information and the emergency signal of the portable sensing means 110 can be wirelessly transmitted to the integrated control means 130 in association with an independent user identification number distinguishable by user. Each sensing information of the fixed sensing means 120 may also be wirelessly transmitted to the total control means 130 in association with an independent space identification number distinguishable for each space.

At this time, the total control means 130, the mobile sensing means 110 and the fixed sensing means 120 may be located in a space separated from each other, for example, a general control room 12 located outside the ship 10 in construction. have.

The comprehensive control means 130 determines the deviation of the threshold range by comparing the respective detection information received from the portable detection means 110 and the fixed detection means 120 with the specified threshold range for each detection information. The alarm generating unit 132 sounds an alarm when the threshold range is departed or when the emergency signal is received by the emergency button unit 113, and a disaster such as a fire, an explosion, or asphyxiation using the received detection information and the threshold range. A prediction unit 134 for determining a situation, a storage unit 133 for storing and displaying a variety of information, and a screen display unit 136.

Here, the storage unit 133, as well as the user information stored in association with the user identification number, personal information for each user, the workspace information arranged by the user, space identification number, workspace name by workspace, workspace location and The map and user information arranged in each workspace may be stored in association with each other.

Of course, the storage unit 133 is stored in the vibration signal, the oxygen concentration information, the emergency signal, the history of each detection information transmitted from the fixed detection means 120 for each date or time Management and inquiry may be possible.

On the other hand, the relay means 160 relays the wireless communication between the portable sensing means 110 and the comprehensive control means 130, the fixed sensing means 120 and the comprehensive control means 130, the wireless LAN 161 scheme Alternatively, the communication is performed by any one of the CDMA 162 methods, and if a failure occurs during communication of one method, the wireless relay can be performed by attempting to switch the communication connection to the other method.

On the other hand, the safety manager terminal 140 is provided on the safety manager side, and includes a display unit 141 for receiving a disaster information or alarm analysis / predicted by the comprehensive control means 130 to display on the screen. Of course, the portable detecting means 110 may also include a display unit 114 for receiving the analyzed / predicted disaster information or alarm from the comprehensive control means 130 and displaying them on the screen.

In addition, the site status notification board 150 is provided in one or more inside or outside the vessel 10, and provides the prediction information received from the comprehensive control means 130 in real-time text or graphic format. Due to various noises in the ship 10, it is often difficult to recognize the occurrence of an accident, such a site situation notification board 150 can be usefully used in the manufacturing site.

Here, the comprehensive control means 130, for each user or space based on the vibration signal transmitted from the portable sensing means 110, the oxygen concentration information, and the respective sensing information transmitted from the fixed sensing means 120 The situation analysis data may be transmitted in real time to the safety manager terminal 140, the portable sensing means 110, the site status notification board 150.

Hereinafter, on the basis of the system 100 as described above, with reference to Figures 1 to 4 will be described in more detail with respect to the industrial safety disaster prediction method of the manufacturing industry using the situation analysis pattern according to the present invention. Here, in the present invention, the disaster prediction is performed in the comprehensive control means 130, more specifically, it can be performed in the prediction unit 134.

The comprehensive control means 130, the oxygen concentration, temperature, humidity, illuminance, explosive gas, infrared rays, smoke, flames detected by the fixed detection means 120 installed for each space 11 in the ship 10 being dried. In operation S130, a detection value for each piece of information regarding a plurality of pieces of selected information is received in association with a space identification number distinguishable for each space.

Here, by receiving in association with the space identification number, it is easy to determine whether the currently received information is a value transmitted from the fixed sensing means 120 on the space (11).

After the detection value receiving step (S130), the comprehensive control means 130 determines whether the received detection value for each information is included in the range of the normal range, the warning range and the dangerous range (S140).

Table 1 shows examples of normal ranges, warning ranges, and danger ranges for the detected values of each information. Each range of Table 1 is not necessarily limited to the ranges listed below, and can be changed at any time through the input unit 135 of the comprehensive control unit 130, and the input information may be stored in the storage unit 133.

TABLE 1

Here, as an example, in the case of infrared information, the case where the detection value by the infrared sensor 122 lasts for 600 seconds (or more) is a danger range, and even in the case of smoke or flame information, If the detection lasts for 600 seconds (or more), it will be described later. However, the infrared, smoke, and flame detection values are values that are normally detected in ships. It is not used for warning, etc.) and it will be used to derive normalized value later.

Each of the sensors for infrared, smoke, and flame detection can calculate the time when the detection value is continuously detected by sensing the detection value at a predetermined time period, and the detected time period value can be changed at any time. have.

On the other hand, here, the comprehensive control means 130, the determination result (normal / warning / danger) of the detection range for each information received from the fixed detection means 120 is included in the normal range, warning range and risk range Status, a value for each detected value, etc.) can be notified (S150).

At this time, the notification target, the user 20 or the safety manager 30, as well as the portable detection means 110, fixed detection means 120, the safety manager terminal 140, the site status notification board 150, carried by the user ) May be a means such as a mobile phone, PDA, etc. that can receive the e-mail, SMS messages.

For example, when notified of a warning or a dangerous state of a specific detection value, the portable detection means 110 is capable of notification of an emergency situation through the vibration generation and display unit 114 of the vibration generating unit 112, the safety manager The terminal 140 may also notify the display unit 141 of an emergency situation, and the fixed detecting unit 120 may enable an alarm alert in an emergency situation.

Of course, the comprehensive control means 130 also notifies the above-mentioned notification matters by the alarm generating unit 132 as an alarm and simultaneously displays them in the form of real-time graphics, texts, tables, etc. through the screen display unit 136. (130) Real-time notification to the side manager is possible.

Here, the notification periods for each of the normal range, the warning range, and the danger range may be set differently, which is possible by individually setting the notification period for each range through the input unit 135 of the comprehensive control means 130. .

And, in the determination result notification step (S150), in the case of the detection value determined to be in the normal state can proceed without a separate notification and can be changed so that only in the case of warning or dangerous state can be notified.

In the present invention as described above, the normal, warning, dangerous range may be divided into normal, warning, danger notification in each case, but in more detail, five steps, such as the lower risk limit, lower warning limit, normal, upper warning limit, upper risk limit Of course, it can be classified or notified more precisely. Here, it is apparent that the refinement of these steps is a part that can be changed at any time by those skilled in the art without departing from the technical scope of the present invention.

On the other hand, in the determination result notification step (S150), the determination result (normal / warning / dangerous state, the value of each detection value, etc.) regarding the infrared, flame, smoke information is not performed separately.

For example, when a user 20 performs a work such as welding or smoke generated in a specific workspace 11, an infrared sensor 122, a flame sensor (not shown), and a smoke sensor (not shown) All of the detected values can be sustained for 600 seconds or longer, because it is inefficient in the present algorithm to notify the user of a dangerous state in the normal operation of the user 20. Of course, the detection value duration (600 seconds, etc.) corresponding to the numerical value for each detection value may be notified separately, which can be changed at any time by a simple design change.

In addition, as shown in Table 1, in the present invention, the warning range is not specified separately for infrared, flame, and smoke detection information, but a value of the warning range is specified due to a design change later (for example, between 0 and 600 seconds). It is also possible to ensure that the values are reported for each range.

In addition, in the case of infrared, flame, and smoke detection information, it has a single value (0 seconds, 600 seconds) specified separately for the normal range and the dangerous range, but this also includes a specific range such as 0 to 10 seconds. Of course, it can be changed to a value having a value, that is, a value having an upper limit value and a lower limit value for each range.

On the other hand, the present invention, as shown in Figure 2, when the emergency signal output from the emergency button unit 113 of the portable detection means 110 is received by the comprehensive control means 130 to perform the above-described notification step (S150) Can be.

For example, in the event of a disaster such as a fire or explosion on a specific workspace 11 in which the user 20 is disposed, or in case of a personal emergency of the user 20, the user 20 detects a dangerous environment so that an emergency button part ( By performing the pressing of 113), the emergency situation is notified promptly, and the comprehensive control means 130 notifies each side to enable rapid emergency rescue.

On the other hand, in the present invention, the comprehensive control means 130, using the normal range and the dangerous range, normalizes the received detection value for each information to a range value of 0 to A (S160).

More specifically, as in Equation 1, the received current value is normalized to a range of 0 to A, using the best value for the normal range and the best value for the dangerous range, respectively. Here, A, the maximum value of the normalized value, can be any number greater than zero.

[Equation]

Table 2 below shows an example of calculating a normalized value against the received detected value.

In the following example of the present invention, A is simply set to 100 to facilitate recognition of normalized values.

TABLE 2

[Table 3]

Through this normalization process, as shown in Table 3, the normal range is close to 0, the dangerous range is close to 100 or 100, and the warning range can have a value between the normal range and the dangerous range.

In addition, in the present invention, when the present sensed value is less than or equal to the best value of the normal range, it can be normalized to have a normalized value of 0, and when the present sensed value is greater than or equal to the best value of the risk range, it has a normalized value of A. .

In other words, if the current sensed value is within the normal range, the normalized value is calculated as 0 without additional normalization calculation, and if the current sensed value is not the best value of the normal range, all normalized values of 0 are automatically calculated. Can be specified. In addition, even when the detected value is out of the danger range beyond the maximum value of the risk range, it is possible to define that all the deviation values are automatically calculated as the largest A value of the normalized values.

Of course, in the normalization process of the present invention, it is also possible to apply the lowest value of the risk range instead of the highest value of the risk range, which is possible by a simple design change by a person skilled in the art, and in this case, not only the lowest value of the risk range but also all the risk ranges. It can be specified that the value is automatically calculated as the A value.

On the other hand, the embodiment of the calculation formula of the conversion value (normalized value) obtained corresponding to each information in Table 2 can be expressed as Equation 2 below.

[Equation 2]

Meanwhile, in the case of infrared rays, smoke, and flames, 0 seconds corresponding to the normal range and 600 seconds corresponding to the dangerous range are respectively calculated, and in the case of 600 seconds or more, all have a normalization value of 100. Of course, a value between 0 and 600 seconds can be calculated with a normalization value greater than 0 and less than 100.

On the other hand, in the present invention, as an industrial safety disaster prediction target, it is divided into predictions regarding fire, explosion and suffocation, respectively, in this normalization step, the normal range for the detection value of the 'oxygen concentration' and 'explosive gas (THC)' , Warning range and danger range, it can be seen from Table 1 to Table 3, Equation 2 that different range values are used for each explosion and suffocation.

On the other hand, after the normalization step (S160) as described above, the comprehensive control means 130, multiplying the weights differently reflected for each information according to the degree of impact of the disaster, multiply each detected value for each information that has been normalized, the weight is The final converted value is calculated by summing the applied sensing values for each information, which can be expressed as Equation 3 (S170).

&Quot; (3) "

Table 4 below is an embodiment of the weight for each sensing element used in Equation 3, and the weight value is not necessarily limited thereto and may be changed at any time. This weight is also input by the input unit 135 of the total control means 130 and is also stored in the storage unit 133 can be used every time the weighting step (S170).

[Table 4]

As shown in Table 4, the weight value for each sensing element (oxygen, temperature, etc.), different values are used for each of fire, explosion and suffocation so that normal, warning, and risk determinations can be made for each situation. In this case, it is preferable that the calculation of the weight given to each sensing element for each situation is defined by the convergence of expert opinions in related fields.

In Table 4, fire, fire and fire judgments account for a large portion of temperature, smoke, and flame detection factors.In the case of explosion and disaster judgments, oxygen and THC information are largely affected. It can be seen that THC, smoke, and human body parts work heavily.

For example, in case of explosion disaster judgment, oxygen concentration (O), temperature (T), illuminance (L), humidity (M), explosive gas (THC), and infrared ray (I) are all normal ranges, and the normalized values are different. If it is calculated as 0, the weight is multiplied, so that each sensing element does not affect the final conversion value. However, if the detected values of the smoke (S) and flame (F) all exceed the danger range (600 seconds), the normalized value represents 100, respectively, and the final converted value referring to Table 4 and Equation 3 is A value of 100 × 4 + 100 × 11 = 1500 can be represented.

On the other hand, after the weighting step (S170), it is possible to notify the determination result regarding which range of the final sum of the final conversion value, the final warning range, the final risk range (S180).

As described above, the weighting step (S170) is to calculate the final conversion value for each of the case of fire, explosion and suffocation as described above, the final determination result notification (S180) is a different range for each case By comparing the final normal range, the final warning range, and the final risk range specified by the value, you will be informed of the status of normal, warning, or hazard on a case-by-case basis.

In the above-described embodiment of the explosion disaster determination, when the 1500 value, which is the calculated final converted value, falls within the final warning range, the 'warning' notification may be performed.

According to the configuration of the final determination result notification (S180) as described above, each alarm on the fire, choke or explosion is individually or simultaneously (fire + choke, choke + explosion, fire + explosion, fire + choke + explosion) It can be done.

Of course, the notification target in the final result notification step (S180), as described above in the detection result notification step (S150), the portable detection means 110, fixed detection means 120, safety manager terminal 140, In addition to the site status notification board 150, it may be a means such as a mobile phone, PDA, etc. to receive an e-mail, SMS message of the user or administrator side.

For example, when notified of the final warning or the final dangerous state regarding a specific disaster (fire, explosion, suffocation), the portable sensing means 110 displays the screen of the vibration generating and display unit 114 of the vibration generating unit 112. This allows notification of emergency situations (fire, explosion, suffocation, etc.). Of course, the safety manager terminal 140 may be notified of the emergency situation on the display unit 141, the fixed detection means 120 may perform an alarm alert in an emergency situation.

Of course, the notification of the final result as described above (S180) is notified by the alarm by the alarm generating unit 132 provided in the comprehensive control means 130 and at the same time the screen display unit 136 of the overall control means 130 itself You can be notified by displaying the current situation on the monitor in the form of a real-time graphic, text, table, etc.

Here, the notification period may be set differently for each of the final normal range, the final warning range, and the final danger range, which may be individually set through the input unit 135 of the comprehensive control means 130. It is possible by

On the other hand, even in such a final result notification step (S180), if the final conversion value, which is the determination result of the relevant disaster target, falls within the final normal range, separate notification may not be performed. Of course, it can be changed so that notification is possible only when it is in a range state.

In addition, the display unit 141 in the received safety manager terminal 140, the display unit 114 of the portable sensing means 110, the site situation notification board 150, only the information about the specific space 11 for which the risk is predicted. Rather, a disaster notification message (ex, 'the risk of explosion (suffocation or fire) in a specific space 11 is predicted. Please evacuate nearby workers immediately', 'Escape immediately from point C where the current risk is expected') Etc.) may also be possible.

Of course, when it is finally determined as a warning situation or a danger situation related to fire, suffocation, explosion, etc., a specific workspace 11 for which a warning or danger is predicted, an adjacent workspace where danger propagation is possible adjacent thereto, and the workspace ( 11) and the user 20 and the safety manager 30 located in the adjacent workspace can be notified, or can be notified to all users 20 and the safety manager 30 regardless of the workspace.

Meanwhile, Tables 5-1 to 5-3 below relate to prediction data based on normalized values (0 to 10000), weights, normal ranges, warning ranges, and risk ranges different from those described above. Standards of normalization values, ranges, and the like may be different from those described above, but the principle may be regarded as the same as that of the technical scope of the present invention. I would like to present.

The following shows the thresholds (final warning range and final risk range) for 'warning' and 'danger' judgments regarding the final conversion value for each disaster case.

-Fire: 'Warning' if final conversion value is more than 500000; 'Danger' if more than 600000

-Explosion: 'Warning' if final conversion value is more than 250000 or 'Danger' if 350000 or more

-Choking: 'Warning' if final conversion value is more than 250000, 'Danger' if 400000 or more

Table 5-1

Table 5-2

Table 5-3

In Tables 5-1 to 5-3, the final conversion value is converted for each disaster by applying individual ranges (oxygen concentration and explosive gas) and individual weights for fire, explosion, and asphyxiation.

Table 5-1 shows the case where the final conversion value for asphyxiation is 640000, exceeding 400,000 and is classified as 'choking hazard'. Table 5-3 shows the case where the final conversion value for fire is 683430, which is classified as 'Fire risk' in excess of 600000.

As described above, the weights given to each sensing information for each disaster case, the normal range for each detected value, the warning range threshold range, and the final normal range, final warning range, and final risk range for the final converted value The value can be changed at any time to the optimal value through continuous system construction and improvement of system reliability.

For reference, as a detection rule for the heuristic algorithm (Heuristic) of the present invention, Table 6 introduces the guidelines regarding the criteria for warning and danger of fire, explosion, and suffocation. Of course, the rules in Table 6 can also be changed through continuous analysis.

TABLE 6

Meanwhile, in the present invention as shown in FIG. 1 or FIG. 2, in addition to a technique of notifying a disaster prediction result by using the final conversion value by normalization and weight application as described above, the pre-stored situation analysis pattern is applied according to the characteristics of the site situation. It also includes a configuration that can be alerted if the deviation from the reference value in the situation analysis pattern. (S190 ~ S200)

That is, the integrated control unit 130 detects the partial detection so that an alarm situation corresponding to the detected partial value is out of the stored reference value among the detection values for each information received in the detection value reception step S130. It is possible to be notified of the alarm situation by applying the situation analysis pattern in which the kind of the value and the reference value are set, to the detected value of the selected fixed detection means (S120) selected among the installed fixed detection means (120) and analyzing the deviation of the reference value. To do so (S190 ~ S200). That is, in the situation analysis pattern, only some detection values are analyzed, and the remaining non-selected detection values are excluded from the analysis object.

Of course, the alarm situation notification (S200) by applying the situation analysis pattern also, the alarm by the alarm generating unit 132 provided in the comprehensive control means 130, of the screen display unit 136 of the overall control means 130 itself Through the monitor, real-time graphic, text, table, etc. can be displayed to inform the site situation. In addition, as the target of the alarm status notification, the mobile detection means 110, the fixed detection means 120, the safety manager terminal 140, the site status notification board (S150), as well as the user or administrator's e-mail, SMS messages received This could be a cell phone, PDA, etc.

This situation analysis pattern application step (S190 ~ S200) is performed independently from the normalization step (S160) to the final result notification step (S180) that is applicable after the detection value (S130).

The more detailed steps for applying the situation analysis pattern are as follows.

First, in the integrated control means (S130), only one or a plurality of selected detection values selected from among the detection values for each information received in the detection value receiving step (S130) are used as an analysis target, and the partial detection values are preset for each detection value. If the predetermined reference value deviates, a plurality of situation analysis patterns of different conditions are set and stored, thereby generating an alarm signal corresponding thereto (S110).

The plurality of situation analysis patterns are set through the input unit 135 implemented as a keyboard, a mouse, a touch screen, and the like, and are stored in the storage unit 133 and made into a DB.

In the situation analysis pattern storage step (S100), the data set in each situation analysis pattern includes a type of space situation classified according to the work characteristics of each space 11 and the space situation among the detected values of each received information. According to the present invention, a type of some detection values that need to be monitored and data regarding the reference value designated for each of the partial detection values may be included.

First, the type of the space situation, which is a site situation of each work space 11, may be a welding work space, a non-welding work space, a non-accessible space, or the like. Here, of course, the on-site situation of each work space (11) made at the time of ship construction includes a variety of types not listed.

In addition, as some types of detection values among the detection values (oxygen concentration, temperature, humidity, illuminance, explosive gas, infrared ray, smoke, flame information) for each information, for example, the work space 11 is a 'welded unworked space. 'May be flame information. This is because the space without welding work is a space where no spark occurs so that an alarm is generated when a spark occurs. In this case, the reference value for the flame information may be 10 seconds, and if the flame persists for 10 seconds, an alarm may be generated.

In addition, when the workspace 11 is a “person inaccessible space”, the infrared information may be adopted as the partial detection value, so that a warning may be generated even if only the heat is caused by the infrared information for a predetermined time.

On the other hand, after the above-described situation analysis pattern storing step (S110), of the plurality of situation analysis patterns previously stored in the storage unit 133, the input unit 135 to input any one of the situation analysis pattern to be applied to the selected specific fixed sensing means. Is selected through. (S120)

If the situation analysis pattern selection step (S120) will be described in more detail, the specific stationary detection means 120 corresponding to the situation analysis target is selected from the list of the stationary detection means 120 installed in each workspace 11, and stored. A situation analysis pattern to be applied to the specific fixed detection means 120 is selected from a list of the plurality of situation analysis patterns stored in the unit 133, and the application of the situation analysis pattern to the specific fixed detection means 120 is performed. Time zone information can be selected.

In addition, in the situation analysis pattern selection step (S120), after receiving a situation analysis pattern to be applied to a specific fixed detection means 120, and receives a corresponding reference value applied to the selected situation analysis pattern according to the situation, It is also possible to apply the modified situation analysis pattern by modifying the information in the situation analysis pattern to be applied to the fixed sensing means 120.

On the other hand, the list of the fixed detection means 120, the list of the situation analysis pattern, the application time list, etc. are displayed on the screen display unit 136 is provided.

In addition, the application time zone information may vary according to the characteristics of the workspace 11 in which the specific fixed sensing unit 120 is installed.

That is, in the process of determining a disaster (danger situation) by determining the detection value received from each fixed detection means 120, it is possible to set the time zone of the application of the situation analysis pattern to be applied to each fixed detection means 120, It is possible to determine a disaster by allowing a specific situation analysis pattern method such as the above to be designated in a designated application time zone.

ex1) 1001 and 1002 fixed detection means issue a fire alarm when a flame is detected for a certain time from 20:00 to 07:00 on the day.

ex2) Fixed detection means 1003 and 1004 will issue a fire alarm if smoke is detected for a certain period of time from 20:00 to 07:00.

ex3) 1005 and 1006 fixed detection means issue fire alarm when flame and smoke are detected at the same time from 20:00 to 07:00.

Here, the situation analysis patterns ex1 to 3 may be applied to all cases where the work space 11 is a non-welded work space.

Of course, today's conditions from 20:00 to 07:00 are the reasons for not welding at night or at night, especially when there are no managers or workers at night. By applying this, safety and security at the manufacturing site can be ensured.

The storage and selection of the situation analysis pattern (S110 to S120) may be directly performed by the general control unit 130, or may be performed by terminal means such as a PC connected to the general control unit 130 by wire or wireless. to be.

On the other hand, based on the storage and selection of the situation analysis pattern (S110 ~ S120), it is possible to apply the following situation analysis pattern.

That is, after the detection value receiving step (S130), among the detection values for each information received from the selected specific fixed detection means (S120), some of the detection values corresponding to the analysis target of the selected situation analysis pattern is the corresponding reference value. It is determined whether or not the deviation (S190)

Of course, at this time, the analysis of the deviation of the reference value is performed only during the corresponding application time for the specific fixed detection means (S120).

As a result of the above analysis, when the reference value is out of the standard value, an alarm signal corresponding thereto is generated to generate an alarm situation (eg, flame detection in the workspace A, fire alarm issued, 01:00 AM) for the specific fixed detecting means 120. Notify (S200)

On the other hand, the second notification method using the situation analysis pattern analysis step (S190) to the pattern analysis warning step (S200) performed for the specific fixed detection means 120, for the time in the above-described application time, the normalization step (S160) ) May be performed in parallel with the first notification method through the final result notification step (S180).

In addition, only the first notification method is performed at a time other than the application time zone.

That is, in the present invention, while performing the first notification method according to the normalization step (S160) to the final result notification step (S180) that is the result notification using the normalization and weight, the situation analysis pattern application step (S190 ~ S200) as described above By simultaneously performing the second notification method by the analysis / notification of the two methods can be parallel to each other, the results of each of them can complement each other, of course.

As described above, although the present invention has been described by way of limited embodiments and drawings, the present invention is not limited thereto and is intended by those skilled in the art to which the present invention pertains. Of course, various modifications and variations are possible within the scope of equivalents of the claims to be described.

1 is a flowchart of a method for predicting industrial safety accidents in a manufacturing industry according to an embodiment of the present invention;

2 is another flow chart of FIG. 1;

3 is an exemplary diagram of a monitoring system in which the prediction method of FIG. 1 or 2 is implemented;

4 is an exemplary view in which the system of FIG. 3 is disposed on a ship.

<Explanation of symbols for the main parts of the drawings>

10 ... Ship 11 ... Space (Workspace)

12.General Control Room 20 ... User

30.Safety manager

Industrial Safety Accident Monitoring System for Manufacturing 110

111 Sensor section 112 Vibration generating section

113 Emergency button 114

120 ... Fix detection means 121 ... Fix sensor

Infrared sensor 130

131 Decisions 132 Alarm generation section

133 Storage ... 134 Prediction

135 Input unit 136 Display unit

140 ... Safety manager terminal 141 Display unit

150.Situation Notification Board 160 ... Relay

161 ... Wireless LAN Module 162 ... CDMA Module

Claims (8)

The detection value for each information regarding the plurality of pieces of information selected from oxygen concentration, temperature, humidity, illuminance, explosive gas, infrared rays, smoke, and flame information detected by the fixed sensing means installed in each space in the ship under construction Sensing value received in association with a distinguishable spatial identification number; It is determined whether the received detection value for each information is included in the normal range, the warning range and the dangerous range, respectively, and the detected value for each information is set to a range value of 0 to A using the normal range and the dangerous range. Normalization step of normalizing; A weighting step of multiplying the weights differently reflected for each information according to the degree of the impact of the disaster, for each detected value for each normalized information, and calculating the final converted value by summing the detected values for each information to which the weight is applied; A final result notification step of notifying a determination result regarding which range of the final converted value is included in a final normal range, a final warning range, and a final risk range; And The situation analysis pattern in which the type of the partial detection value and the reference value are set such that an alarm condition corresponding to the selected partial detection value among the detection values for each information received in the detection value receiving step deviates from a previously stored reference value, It includes the step of applying a situation analysis pattern applied to the detection value of the particular fixed detection means selected from the installed fixed detection means, The normalization step, As shown in Equation 1, by using the best value for the normal range and the best value for the risk range, respectively, the received current current value is normalized to a range value of 0 to A, but current sensing If the value is smaller than the upper limit of the normal range, normalize the value to 0, and if the present value is higher than the upper limit of the risk range, normalize it to have the normalization value of A. Disaster prediction method.

delete The method of claim 1, wherein after the sensing value receiving step, And a detection result notification step of notifying a determination result for each information regarding whether the received detection value for each information is included in the range of the normal range, the warning range, and the dangerous range. Industrial Safety Disaster Prediction Method in Manufacturing Industry. The method of claim 1, The situation analysis pattern application step performed independently of the normalization step, When the partial detection value deviates from the corresponding reference value predetermined for each detection value by selecting only one or a plurality of detection values selected from the detection values for each information received in the detection value receiving step, an alarm signal corresponding thereto is output. A situation analysis pattern storage step of setting and storing a plurality of situation analysis patterns of different conditions to be generated; A situation analysis pattern selection step of selecting one situation analysis pattern to be applied to the selected specific fixed sensing means among the plurality of stored situation analysis patterns; After the detection value receiving step, it is determined whether the partial detection value corresponding to the analysis target of the selected situation analysis pattern among the detection values for each information received from the selected specific fixed detection means is out of the corresponding reference value Analyzing situation analysis pattern; And And a pattern analysis alerting step of generating an alarm signal corresponding to the reference value when it is out of the reference value, to notify an alarm situation for the specific fixed sensing means. Way. The method of claim 4, wherein the data set in each situation analysis pattern in the situation analysis pattern storing step is Regarding types of space situations classified according to the work characteristics of each space, types of some detection values that need to be monitored according to the space conditions among the received detection values of each information, and the reference values designated by the some detection values Industrial safety accident prediction method of manufacturing industry using the situation analysis pattern, characterized in that it comprises data. The method of claim 4, wherein the selecting a situation analysis pattern comprises: A specific fixed sensing means corresponding to a situation analysis target is selected from a list of fixed sensing means installed in each space, and a situation analysis pattern to be applied to the specific fixed sensing means is selected from a list of the plurality of situation analysis patterns; Receiving time zone information of the situation analysis pattern for the specific fixed sensing means; The situation analysis pattern analysis step, And analyzing the deviation of the corresponding reference value only in the application time period for the specific fixed sensing means. The method of claim 6, The second notification method using the situation analysis pattern analysis step to the pattern analysis warning step performed for the particular fixed detection means, The time within the application time zone is parallel to the first notification method through the normalization step to the final result notification step, and only the first notification method is performed at a time other than the application time zone. How to predict occupational safety accidents in manufacturing. The method of claim 6, wherein in the step of selecting the situation analysis pattern, After selecting the situation analysis pattern to be applied to the specific fixed detection means, it is possible to modify the input of the reference value previously applied to the selected situation analysis pattern, and apply the modified situation analysis pattern accordingly, Prediction method of industrial safety accidents in manufacturing industry.

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