CN115481862A - Safety production management platform for realizing dual management and control - Google Patents
Safety production management platform for realizing dual management and control Download PDFInfo
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Abstract
The application discloses realize safe production management platform of dual management and control relates to production management technical field, determines through analysis and processing module real-time operation keyword in the staff operation information, determines a plurality of predetermined operation keyword that are correlated with real-time operation keyword through predetermined keyword association table to this harm influence range of indirect determination staff operation information, and pass through risk level compares the storehouse does, confirms staff operation information's hidden danger harm value, and then supplementary staff in time handles hidden danger, has effectively reduced the problem incidence in the production activity.
Description
Technical Field
The invention relates to the technical field of production management, in particular to a safety production management platform for realizing double management and control.
Background
When an enterprise carries out production activities, because production elements are more, various production problems and even safety accidents occur easily, and in order to avoid the problems, in the prior art, the operation process of control workers is strictly monitored and fed back in time, so that various problems and safety accidents in the production activities are stopped to a certain extent. Aiming at production activities, a dual management and control system is constructed, risk management and control and hidden danger troubleshooting management and control of the production activities are achieved, the problem occurrence rate of the production activities can be effectively reduced, in the prior art, the dual management and control system is generally used for managing the production activities manually, the efficiency is low, more key information is omitted easily, the judgment of the hidden dangers or risks is inaccurate, the problem occurrence rate of the production activities is still high, and the defect that the data processing capacity is low gradually occurs in manual management along with the expansion of the scale of the production activities, so that the accuracy of judgment of the hidden dangers is influenced.
Disclosure of Invention
The invention aims to provide a safe production management platform capable of effectively reducing the problem occurrence rate in production activities.
The invention discloses a safety production management platform for realizing double management and control, which comprises:
the acquisition module is used for acquiring employee operation information;
the analysis processing module is used for analyzing and processing the employee operation information to obtain real-time operation keywords of the employee operation information;
presetting a keyword association table, wherein the content of the keyword association table comprises a plurality of preset operation keywords and association strength values among the preset operation keywords;
presetting a risk level comparison library, wherein the content of the risk level comparison library comprises a standard operation flow and a plurality of risk labels, the risk labels are associated with preset operation keywords in the standard operation flow, and the risk labels determine risk levels aiming at the preset operation keywords;
the analysis processing module judges whether the employee operation information corresponding to the real-time operation keywords meets the operation standard or not according to the standard operation flow in the risk level comparison library, if not, judges that the employee operation information has hidden dangers, if so, determines a plurality of preset operation keywords of which the correlation strength values with the real-time operation keywords are higher than preset values according to the keyword correlation table, combines the real-time keywords and the preset operation keywords to generate a high-correlation key phrase, determines the risk levels of the preset operation keywords in the high-correlation key phrase according to the risk level comparison library, and assigns the risk levels according to preset hidden danger value calculation rules to obtain the risk values of the preset operation keywords;
and the hidden danger value of the employee operation information is the sum of the risk values of preset operation keywords in the high-relevance keyword group, and if the hidden danger value is higher than the preset value, hidden danger alarm is performed.
In some embodiments of the present application, in order to determine whether the employee operation information is combined with an operation standard, a method for determining whether the employee operation information is combined with an operation standard is disclosed, where the method for determining whether the employee operation information meets the operation standard includes:
presetting a keyword assignment table, wherein the keyword assignment table comprises a plurality of operation keywords and keyword value groups (H1, H2, H3, H4, \ 8230, hn), and n =1, 2, 3, 4, \ 8230, n, the Hn is a keyword value, and the Hn values correspond to the operation keywords one by one;
the analysis processing module determines the Hn value of the real-time operation key words of the employee operation information according to the key word assignment table, and determines the sum W1 of the Hn values of all the real-time operation key words in the employee operation information;
the analysis processing module assigns values to the operation keywords in the standard operation flow in the risk level comparison library according to the keyword assignment table;
the analysis processing module intercepts a plurality of continuous operation keywords with the sum of keyword values being W2 from a plurality of operation keywords in a standard operation process, wherein the difference value between W1 and W2 is smaller than a preset value so as to determine an operation process section corresponding to the employee operation information in the standard operation process, compares the operation keywords in the operation process section with the real-time operation keywords in the employee operation information, and if the operation keywords which do not have a corresponding relationship or the sum of the number of the real-time operation keywords is larger than the preset value, judges that the employee operation information does not accord with the operation standard.
In some embodiments of the present application, in order to evaluate the hidden danger of the employee operation information, a calculation rule of the hidden danger value is disclosed, where the calculation rule of the hidden danger value includes:
the risk level comprises a low risk, a general risk, a greater risk and a major risk, wherein the low risk is assigned as Q1, the general risk is assigned as Q2, the major risk is assigned as Q3 and the major risk is assigned as Q4;
according to the risk level comparison library, determining risk labels corresponding to the operation keywords in the high-relevance keyword group, and performing assignment on the risk labels corresponding to the operation keywords in the high-relevance keyword group to determine a total value Q of all risk labels corresponding to the operation keywords in the high-relevance keyword group, wherein the Q value is a hidden danger value of the employee operation information;
and if Q is larger than or equal to Q4, alarming hidden danger.
In some embodiments of the present application, in order to improve the hidden danger discovery capability of the management platform, the management platform is further connected with a plurality of devices, so that the acquisition module acquires device operating state information, and the analysis processing module determines the device operating state according to the device operating state information and performs hidden danger alarm according to the device operating state.
In some embodiments of the present application, in order to determine the operation state of the device so as to alarm a hidden danger with respect to the operation state of the device, a method for determining the operation state of the device is disclosed, where the method for determining the operation state of the device by the analysis processing module includes:
and a multi-stage state identification interval is set for each device, and the analysis processing module determines the state of the device according to the interval in which the device is located.
In some embodiments of the present application, in order to be able to distinguish between the operating states of the plant, several operating states of the plant are specifically disclosed, including low load operation, medium load operation, high load operation and abnormal operation.
In some embodiments of the present application, a time for performing a hidden danger alarm is determined for an operation state of the device, and if the device state is in abnormal operation, the hidden danger alarm is performed.
In some embodiments of the present application, a specific determination method for determining a state to which the device belongs is disclosed, where the method for determining the state to which the device belongs includes:
setting a first operating power node value, a second operating power node value, a third power node value and a fifth power node value for the operating power of the equipment;
if the operating power of the equipment is greater than or equal to the first operating power node value and less than the second operating power node value, judging that the equipment is in a low-load operating state;
if the operating power of the equipment is greater than or equal to the second operating power node value and smaller than a third operating power node value, judging that the equipment is in medium-load operation;
if the operating power of the equipment is greater than or equal to the third operating power node value and less than or equal to the fourth operating power node value, judging that the equipment is in high-load operation;
and if the running power of the equipment is smaller than the first running power node value and larger than a fourth running power node value, judging that the equipment is in abnormal running.
In some embodiments of the present application, in order to enable the platform to improve accuracy of hidden danger judgment, the platform further includes a risk level adjustment module;
and the risk level adjusting module redefines the risk level of the risk label associated with the preset operation keyword according to the damage degree of the past harm. The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
The application discloses realize safe production management platform of dual management and control, determine through analysis and processing module real-time operation keyword in the staff operation information, determine a plurality of predetermined operation keywords that are correlated with real-time operation keyword through predetermined keyword association table to this harm influence range of indirect determination staff operation information, and pass through risk level compares the storehouse, confirms staff operation information's hidden danger harm value, and then supplementary staff in time handles hidden danger, has effectively reduced the problem incidence in the production activity.
Drawings
Fig. 1 is a diagram of steps of a method for processing employee operation information through an acquisition module and an analysis processing module disclosed in an embodiment of the present application;
fig. 2 is a flowchart of the method steps for determining whether the employee operation information is combined with the operation standard.
Detailed Description
The technical scheme of the invention is further explained by the attached drawings and the embodiment.
Unless defined otherwise, technical or scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The use of "first," "second," and similar terms in the present application do not denote any order, quantity, or importance, but rather the terms are used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that the element or item listed before the word covers the element or item listed after the word and its equivalents, but does not exclude other elements or items. The terms "connected" or "coupled" and the like are not restricted to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", and the like are used only to indicate relative positional relationships, and when the absolute position of the object being described is changed, the relative positional relationships may also be changed accordingly.
Example (b):
therefore, the invention discloses a safety production management platform for realizing double management and control, which comprises:
the acquisition module is used for acquiring employee operation information, wherein the employee operation information can be a work ticket or an operation ticket filled by an operator, and the work ticket or the operation ticket adopts a specified format so as to facilitate the acquisition module to acquire corresponding information at a specified position.
And the analysis processing module is used for analyzing and processing the employee operation information to obtain the real-time operation key words of the employee operation information.
The method comprises the steps that a keyword association table is preset, the content of the keyword association table comprises a plurality of preset operation keywords and association strength values among the preset operation keywords, the association strength values can be set by workers through experience and a standard process flow to realize association of the preset operation keywords, and the association strength values can be set according to the front-back sequence, the connection sequence and the mutual influence relation of actual operation corresponding to the preset operation keywords.
A risk level comparison library is preset, the content of the risk level comparison library comprises a standard operation flow and a plurality of risk labels, the risk labels are associated with preset operation keywords in the standard operation flow, and the risk labels determine risk levels according to the preset operation keywords.
Wherein the determination of the risk level may be determined by different levels of departments, such as: major risk factory level management and control, large risk workshop management and control, and general risk team management and control. And (5) managing and controlling low-risk posts.
The processing step of the employee operation information through the acquisition module and the analysis processing module comprises the following steps:
and S100, the analysis processing module judges whether the employee operation information corresponding to the real-time operation keywords meets the operation standard or not according to the standard operation flow in the risk level comparison library, and if not, the analysis processing module judges that hidden danger exists in the employee operation information.
In order to determine whether the employee operation information is combined with an operation standard, in some embodiments of the present application, a method for determining whether the employee operation information is combined with an operation standard is disclosed, where the method for determining whether the employee operation information meets the operation standard includes:
step S101, a keyword assignment table is preset, wherein the keyword assignment table comprises a plurality of operation keywords and keyword value groups (H1, H2, H3, H4, \8230;, hn), n =1, 2, 3, 4, \8230;, n, hn is a keyword value, and Hn values correspond to the operation keywords one by one.
And step S102, the analysis processing module determines the Hn value of the real-time operation key words of the employee operation information according to the key word assignment table, and determines the sum W1 of the Hn values of all the real-time operation key words in the employee operation information.
And step S103, the analysis processing module assigns values to the operation keywords in the standard operation process in the risk level comparison library according to the keyword assignment table.
And step S104, intercepting a plurality of continuous operation keywords with the sum of keyword values of W2 from a plurality of operation keywords in a standard operation flow by the analysis processing module, wherein the difference value between W1 and W2 is smaller than a preset value so as to determine an operation flow section corresponding to the employee operation information in the standard operation flow, comparing the operation keywords in the operation flow section with the real-time operation keywords in the employee operation information, and if the operation keywords with corresponding relations do not exist or the sum of the number of the real-time operation keywords is larger than the preset value, judging that the employee operation information does not accord with the operation standard.
And S200, if the hidden danger exists in the employee operation information, determining a plurality of preset operation keywords of which the strength values of association with the real-time operation keywords are higher than a preset value according to the keyword association table, and combining the real-time keywords and the preset operation keywords to generate a high-association keyword group.
Step S300, according to the risk level comparison library, determining the risk levels of the preset operation keywords and the real-time operation keywords in the high-relevance keyword group, and assigning the risk levels according to a preset hidden danger value calculation rule to obtain the risk values of the preset operation keywords.
In order to evaluate the hidden danger of the employee operation information, in some embodiments of the present application, a calculation rule of the hidden danger value is disclosed, where the calculation rule of the hidden danger value includes: the risk levels include a low risk, a general risk, a greater risk, and a major risk, where the low risk assignment is Q1, the general risk assignment is Q2, the greater risk assignment is Q3, and the major risk assignment is Q4.
The risk level determination method may adopt a risk analysis method "LEC", and the risk level assignment method may be an empirical assignment, which may cause serious damage or have a high risk degree, and for items with serious risk, if a hidden danger occurs, a hidden danger alarm must be given.
According to the risk level comparison library, determining risk labels corresponding to the operation keywords in the high-relevance keyword group, and assigning values to the risk labels corresponding to the operation keywords in the high-relevance keyword group to determine a total value Q of all the risk labels corresponding to the operation keywords in the high-relevance keyword group, wherein the Q value is a hidden danger value of the employee operation information; and if Q is larger than or equal to Q4, alarming hidden danger.
And S400, the hidden danger value of the employee operation information is the sum of the risk values of the preset operation keywords in the high-relevance keyword group, and if the hidden danger value is higher than the preset value, hidden danger alarm is carried out.
In some embodiments of the application, in order to improve the hidden danger discovering capability of the management platform, the management platform is further connected with a plurality of devices, so that the acquisition module acquires device running state information, the analysis processing module determines the device running state according to the device running state information, and hidden danger alarming is carried out according to the running state of the devices.
In order to determine the operating state of the device, in some embodiments of the present application, so as to alert about a hidden danger of the operating state of the device, a method for determining the operating state of the device is disclosed, where the method for determining the operating state of the device by an analysis processing module includes:
and a multi-stage state identification interval is set for each device, and the analysis processing module determines the state of the device according to the interval in which the device is located.
In order to be able to distinguish between the operating states of the plant, in some embodiments of the present application, several operating states of the plant are specifically disclosed, including low load operation, medium load operation, high load operation, and abnormal operation.
In some embodiments of the application, the time for performing hidden danger alarm is determined according to the running state of the equipment, and if the equipment is in abnormal operation, the hidden danger alarm is performed.
In some embodiments of the present application, a specific determination method for determining a state to which the device belongs is disclosed, where the method for determining the state to which the device belongs includes:
and setting a first operating power node value, a second operating power node value, a third power node value and a fifth power node value for the operating power of the equipment.
And if the operating power of the equipment is greater than or equal to the first operating power node value and less than the second operating power node value, judging that the equipment is in a low-load operating state.
And if the operating power of the equipment is greater than or equal to the second operating power node value and smaller than a third operating power node value, judging that the equipment is in medium-load operation.
And if the running power of the equipment is greater than or equal to the third running power node value and less than or equal to the fourth running power node value, judging that the equipment is in high-load running.
And if the equipment operating power is smaller than the first operating power node value and larger than a fourth operating power node value, judging that the equipment is in abnormal operation.
In some embodiments of the present application, in order to enable the platform to improve accuracy of determining a hidden danger, the platform further includes a risk level adjustment module.
And the risk level adjusting module redefines the risk level of the risk label associated with the preset operation keyword according to the damage degree of the past harm. The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
In some embodiments of the present application, in order to further explain the technical solution of the present application, a specific application scenario is now combined to explain the technical solution of the present application, an existing manufacturing enterprise needs to monitor risks and hidden dangers of its own manufacturing process and manufacturing equipment in real time to avoid the occurrence of production problems, and in order to achieve the above purpose, the method needs to be implemented in a platform management manner, so as to reduce manual consumption and reduce the judgment deviation caused by manual work.
Therefore, a safety production management platform is disclosed, where the platform includes an acquisition module and an analysis processing module, where the acquisition module may be various input terminals, such as various mobile terminals, today's mobile phones and tablet computers, and may also be a fixed terminal computer; the analysis processing module can be a fixed computer which is separately arranged in an enterprise management and control center.
Therefore, the operation principle steps of the safety production management platform comprise:
step 1, staff operation information is obtained through the obtaining module, wherein the staff operation information can be input in an operation ticket and a work ticket mode, the operation ticket and the work ticket are in a fixed format, the staff operation information is input by filling in operation keywords specified in advance by a rule, and the obtaining module is further connected with a plurality of devices so that the obtaining module can obtain device operation state information.
Step 2, a keyword association table and a risk level comparison library are preset, wherein the content of the keyword association table comprises a plurality of preset operation keywords and association strength values among the preset operation keywords, the content of the risk level comparison library comprises a standard operation flow and a plurality of risk labels, the risk labels are associated with the preset operation keywords in the standard operation flow, and the risk labels determine risk levels according to the preset operation keywords.
Step 3, the analysis processing module judges whether the employee operation information corresponding to the real-time operation keywords meets the operation standard or not according to the standard operation flow in the risk level comparison library, if not, judges that the employee operation information has hidden danger, if so, determines a plurality of preset operation keywords of which the correlation strength value with the real-time operation keywords is higher than a preset value according to the keyword correlation table, combines the real-time keywords and the preset operation keywords to generate a high-correlation key phrase, determines the risk level of the preset operation keywords in the high-correlation key phrase according to the risk level comparison library, and assigns values to the risk level according to a preset hidden danger value calculation rule to obtain the risk value of the preset operation keywords; the hidden danger value of the employee operation information is the sum of the risk values of preset operation keywords in the high-relevance keyword group, and if the hidden danger value is higher than the preset value, hidden danger alarm is carried out; the analysis processing module also determines the running state of the equipment according to the running state information of the equipment, and alarms according to the running state of the equipment.
In step 3, a method for determining an operation state of the device is disclosed, wherein the determination of the operation state can be determined indirectly only according to the operation power of the device, and the method comprises the following steps:
1. and setting a first operating power node value, a second operating power node value, a third power node value and a fifth power node value for the operating power of the equipment.
2. And if the operating power of the equipment is greater than or equal to the first operating power node value and less than the second operating power node value, judging that the equipment is in a low-load operating state.
3. And if the operating power of the equipment is greater than or equal to the second operating power node value and smaller than a third operating power node value, judging that the equipment is in medium-load operation.
4. And if the running power of the equipment is greater than or equal to the third running power node value and less than or equal to the fourth running power node value, judging that the equipment is in high-load running.
5. And if the equipment operating power is smaller than the first operating power node value and larger than a fourth operating power node value, judging that the equipment is in abnormal operation.
The application discloses realize safe production management platform of dual management and control, determine through analysis and processing module real-time operation keyword in the staff operation information, determine a plurality of predetermined operation keywords that are correlated with real-time operation keyword through predetermined keyword association table to this harm influence range of indirect determination staff operation information, and pass through risk level compares the storehouse, confirms staff operation information's hidden danger harm value, and then supplementary staff in time handles hidden danger, has effectively reduced the problem incidence in the production activity.
Finally, it should be noted that: the above embodiments are only intended to illustrate the technical solution of the present invention and not to limit the same, and although the present invention is described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the invention without departing from the spirit and scope of the invention.
Claims (9)
1. A safety production management platform for realizing dual management and control is characterized by comprising:
the acquisition module is used for acquiring employee operation information;
the analysis processing module is used for analyzing and processing the employee operation information to obtain real-time operation keywords of the employee operation information;
presetting a keyword association table, wherein the content of the keyword association table comprises a plurality of preset operation keywords and association strength values among the preset operation keywords;
presetting a risk level comparison library, wherein the content of the risk level comparison library comprises a standard operation flow and a plurality of risk labels, the risk labels are associated with preset operation keywords in the standard operation flow, and the risk labels determine risk levels aiming at the preset operation keywords;
the analysis processing module judges whether the employee operation information corresponding to the real-time operation keywords meets the operation standard or not according to the standard operation flow in the risk level comparison library, if not, judges that hidden dangers exist in the employee operation information, if so, determines a plurality of preset operation keywords of which the correlation strength values with the real-time operation keywords are higher than preset values according to the keyword correlation table, combines the real-time keywords and the preset operation keywords to generate a high-correlation key phrase, determines the risk level of the preset operation keywords in the high-correlation key phrase according to the risk level comparison library, and assigns values to the risk level according to preset hidden danger value calculation rules to obtain the risk value of the preset operation keywords;
and the hidden danger value of the employee operation information is the sum of the risk values of preset operation keywords in the high-relevance keyword group, and if the hidden danger value is higher than the preset value, hidden danger alarm is performed.
2. The safety production management platform for realizing double management and control according to claim 1, wherein the method for judging whether the employee operation information meets the operation standard comprises the following steps:
presetting a keyword assignment table, wherein the keyword assignment table comprises a plurality of operation keywords and keyword value groups (H1, H2, H3, H4, \8230, hn), and n =1, 2, 3, 4, \8230, and n, wherein Hn is a keyword value, and the Hn values correspond to the operation keywords one by one;
the analysis processing module determines the Hn value of the real-time operation key word of the employee operation information according to the key word assignment table, and determines the sum W1 of the Hn values of all the real-time operation key words in the employee operation information;
the analysis processing module assigns values to the operation keywords in the standard operation flow in the risk level comparison library according to the keyword assignment table;
the analysis processing module intercepts a plurality of continuous operation keywords with the sum of keyword values being W2 from a plurality of operation keywords in a standard operation process, wherein the difference value between W1 and W2 is smaller than a preset value so as to determine an operation process section corresponding to the employee operation information in the standard operation process, compares the operation keywords in the operation process section with the real-time operation keywords in the employee operation information, and if the operation keywords which do not have a corresponding relationship or the sum of the number of the real-time operation keywords is larger than the preset value, judges that the employee operation information does not accord with the operation standard.
3. The safety production management platform for realizing double management and control according to claim 1, wherein the hidden danger and hazard value calculation rule comprises:
the risk level comprises a low risk, a general risk, a greater risk and a major risk, wherein the low risk is assigned as Q1, the general risk is assigned as Q2, the major risk is assigned as Q3 and the major risk is assigned as Q4;
according to the risk level comparison library, determining risk labels corresponding to the operation keywords in the high-relevance keyword group, and assigning values to the risk labels corresponding to the operation keywords in the high-relevance keyword group to determine a total value Q of all the risk labels corresponding to the operation keywords in the high-relevance keyword group, wherein the Q value is a hidden danger value of the employee operation information;
and if Q is larger than or equal to Q4, alarming hidden danger.
4. The safety production management platform for realizing dual management and control according to claim 1 is characterized in that the management platform is further connected with a plurality of devices, so that the acquisition module acquires device running state information, the analysis processing module determines the device running state according to the device running state information, and hidden danger alarming is carried out according to the device running state.
5. The platform of claim 4, wherein the method for determining the operation status of the device by the analysis processing module comprises:
and a multi-stage state identification interval is set for each device, and the analysis processing module determines the state of the device according to the interval in which the device is located.
6. The platform of claim 5, wherein the equipment status includes low load operation, medium load operation, high load operation and abnormal operation.
7. The safety production management platform for realizing double management and control according to claim 6, wherein if the equipment state is in abnormal operation, a hidden danger alarm is given.
8. The platform of claim 7, wherein the method for determining the state of the device comprises:
setting a first operating power node value, a second operating power node value, a third power node value and a fifth power node value for the operating power of the equipment;
if the operating power of the equipment is greater than or equal to the first operating power node value and less than the second operating power node value, judging that the equipment is in a low-load operating state;
if the operating power of the equipment is greater than or equal to the second operating power node value and smaller than a third operating power node value, judging that the equipment is in medium-load operation;
if the running power of the equipment is greater than or equal to the third running power node value and less than or equal to the fourth running power node value, judging that the equipment is in high-load running;
and if the equipment operating power is smaller than the first operating power node value and larger than a fourth operating power node value, judging that the equipment is in abnormal operation.
9. The platform for managing the safety production, which realizes the dual management and control, according to claim 1, further comprising a risk level adjustment module;
and the risk level adjusting module redefines the risk level of the risk label associated with the preset operation keyword according to the damage degree of the past harm.
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