CN114511220A - Safety production supervision method and equipment - Google Patents
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Abstract
The embodiment of the specification discloses a supervision method, equipment and a medium for safety production, wherein the method comprises the following steps: acquiring safety production data of an enterprise to be detected in the current time period; the safety production data includes: first safety production data related to the production equipment, and second safety production data related to the environment to which the production equipment belongs; determining a risk trend value of the first safety production data based on the historical data change trend and the change trend of each data in the first safety data; determining a first risk level of the safety production data according to a preset risk trend value and a risk trend value; acquiring a preset safe production strategy corresponding to the second safe production data; determining an error between the second safety production data and the preset production data so as to determine a second risk level of the safety production data according to the error; and determining the production risk corresponding to the corresponding area of the production equipment based on the first risk level and the second risk level, and carrying out production adjustment on the enterprise to be detected according to the production risk.
Description
Technical Field
The specification relates to the technical field of computers, in particular to a safety production monitoring method and equipment based on an industrial internet.
Background
With the continuous development of internet technology and communication technology, the industrial internet has been developed rapidly. The industrial internet can greatly improve the production efficiency and the management efficiency. With the rapid development of industrial production, in order to improve the competitiveness of manufacturing enterprises and the real-time monitoring and management of industrial products and strengthen the control of production processes, the production safety is an important link in the production process for safety management and monitoring and ensuring.
In the prior art, in a management method for enterprise safety production risks, a supervisor needs to invest a large amount of workload to analyze and judge, and when a large number of data values appear, the supervisor has strong subjectivity to the data and cannot reflect the actual situation, so that interference is caused to monitoring and management of enterprise safety production, and the existing potential production hazards can be monitored out of time or monitoring loss of the potential production hazards can be caused.
Therefore, a reliable and accurate method for supervising safe production is needed.
Disclosure of Invention
One or more embodiments of the present specification provide a method and an apparatus for supervising safety production, which are used to solve the following technical problems: how to provide a reliable and accurate safety production supervision method.
One or more embodiments of the present disclosure adopt the following technical solutions:
one or more embodiments of the present specification provide a method for supervising safe production, the method including:
acquiring safety production data of an enterprise to be detected in the current time period; wherein the secure production data comprises: first safety production data related to production equipment and second safety production data related to the environment to which the production equipment belongs;
acquiring historical data change trends related to production equipment in the historical time period of the enterprise to be detected, and determining a risk trend value of the first safety production data in the current time period based on the historical data change trends and the change trends of each data in the first safety data in the current time period;
determining a first risk level of the safe production data according to a preset risk trend value of the first safe production data and a risk trend value of the first safe production data in a current time period;
acquiring a preset safe production strategy corresponding to the second safe production data;
determining an error of the second safety production data and preset production data based on the preset safety production strategy so as to determine a second risk level of the safety production data according to the error;
and determining the corresponding production risk of the corresponding area of the production equipment in the current time period based on the first risk level and the second risk level, so as to perform production adjustment on the to-be-detected enterprise based on the production risk and realize real-time supervision on the to-be-detected enterprise.
In one or more embodiments of the present specification, before acquiring a change trend of historical data related to production equipment in a historical time period of the enterprise to be detected, the method further includes:
acquiring historical production data related to the production equipment, and dividing each parameter in the historical data into first historical data and second historical data according to the safety influence of the historical production data on the production equipment; wherein the first historical data is data which has positive influence on the production equipment; the second historical data is data which has negative influence on the production equipment;
respectively calculating the weight values of the first historical data and the second historical data based on an analytic hierarchy process, sequencing the weight values, and sequentially selecting the historical data related to the production equipment based on the weight values so as to determine the corresponding change trend based on the historical data related to the production equipment.
In one or more embodiments of the present specification, the determining a risk trend value of the first safety production data in the current time period based on the historical data change trend and the change trend of each data in the first safety data in the current time period specifically includes:
inputting the historical data change trend into a preset learning model to output a predicted change trend corresponding to the first safety production data in the current time period;
determining the change trend of each data in the first safety production data in the current time period according to the first safety production data and the current time period;
determining variation errors of each data in the first safety production data based on the predicted variation trend and the variation trend;
and determining the error grade of each data according to the variation error and the variation threshold of each data, and weighting the error grade of each data based on the preset weight of each data to obtain the risk trend value of the first safety production data in the current time period.
In one or more embodiments of the present specification, the determining a first risk level of the safety production data according to the preset risk trend value of the first safety production data and the risk trend value of the first safety production data in the current time period specifically includes:
if the risk trend value of the first safety production data in the current time period is smaller than the preset risk trend value, the first risk level of the safety production data is no risk;
if the risk trend value of the first safety production data in the current time period is larger than the preset risk trend value, determining a first risk grade of the safety production data according to a difference value between the risk trend value in the current time period and the preset risk trend value and a preset risk judgment table; and the preset risk judgment table stores risk grades corresponding to the difference values.
In one or more embodiments of the present specification, before the obtaining of the preset safe production policy corresponding to the second safe production data, the method further includes:
determining a production product corresponding to the production equipment according to the type of the production equipment;
determining a corresponding environment parameter variation range in the area to which the production equipment belongs according to the limiting condition of the production product on the production environment;
determining an environmental risk value corresponding to the change value of each environmental parameter based on the change range of the environmental parameters, and determining an environmental strategy of the area to which the production equipment belongs based on the change value and the environmental risk value;
determining a personnel operation strategy of the area to which the production equipment belongs according to the area to which the production equipment belongs and a production product corresponding to the equipment, so as to determine an operation risk value in the current time period based on the personnel operation strategy;
and forming the preset safe production strategy according to the environment strategy and the personnel operation strategy of the region to which the production equipment belongs.
In one or more embodiments of the present specification, before determining, according to a limitation condition of the production environment by the production product, a corresponding environmental parameter variation range in an area to which the production equipment belongs, the method further includes:
analyzing the production raw materials corresponding to the production products based on a principal component analysis method to obtain elements corresponding to the production products;
determining a production flow corresponding to the production product based on the production equipment, and performing data extraction on the corresponding elements based on the production flow to obtain dangerous elements in the production product;
and determining the limiting conditions of the production product to the production environment based on the dangerous elements.
In one or more embodiments of the present specification, the determining an error between the second safety production data and preset production data based on the preset safety production policy to determine a second risk level of the second safety production data according to the error specifically includes:
determining an environment strategy and a personnel operation strategy of the region to which the production equipment belongs according to the preset safe production strategy, and taking production data corresponding to the environment strategy and the operation strategy as preset production data;
determining the environmental risk level of the second safety production data according to the change value of each environmental parameter in the second safety production data and the environmental risk value corresponding to the change value of each environmental parameter in the preset production data;
determining the operation risk level of the second safety production data according to the personnel operation data in the second safety production data and the personnel operation data in the preset production data;
determining the weight values of the environmental parameters and the personnel operation data based on the area to which the production equipment belongs and the production product corresponding to the production equipment;
and weighting the environmental risk level and the operation risk level based on the weight value, and determining a second risk level of the second safety production data.
In one or more embodiments of the present disclosure, after determining the production risk corresponding to the corresponding area of the production equipment in the current time period based on the first risk level and the second risk level, the method further includes:
if the corresponding production risk of the corresponding area of the production equipment in the current time period is determined to be smaller than the preset production risk in the corresponding area of the production equipment, continuing to produce the product;
if the corresponding production risk of the corresponding area of the production equipment in the current time period is determined to be greater than the preset production risk in the corresponding area of the production equipment, the production risk is sent to a supervisor in the corresponding area of the production equipment, and various production activities in the corresponding area of the production equipment are stopped.
In one or more embodiments of the present specification, the performing production adjustment on the to-be-detected enterprise based on the production risk specifically includes:
according to the preset safe production strategy, determining production data of the production equipment meeting the requirements in the current time;
extracting characteristic data in the production data meeting the requirements to determine a plurality of target production devices corresponding to the characteristic data in the enterprise to be detected based on the characteristic data;
if the production risk is larger than a preset risk threshold value, acquiring a preset production task of a corresponding area of the production equipment in the current time period;
determining idle equipment in the target production equipment, converting preset production tasks in the production equipment into the idle equipment, and adjusting safety production data of the production equipment to be within a normal range.
One or more embodiments of the present specification provide a safety production supervision apparatus, including:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
acquiring safety production data of an enterprise to be detected in the current time period; wherein the secure production data comprises: first safety production data related to production equipment and second safety production data related to the environment to which the production equipment belongs;
acquiring historical data change trends related to production equipment in the historical time period of the enterprise to be detected, and determining a risk trend value of the first safety production data in the current time period based on the historical data change trends and the change trends of each data in the first safety data in the current time period;
determining a first risk level of the safe production data according to a preset risk trend value of the first safe production data and a risk trend value of the first safe production data in a current time period;
acquiring a preset safe production strategy corresponding to the second safe production data;
determining an error of the second safety production data and preset production data based on the preset safety production strategy so as to determine a second risk level of the safety production data according to the error;
and determining the corresponding production risk of the corresponding area of the production equipment in the current time period based on the first risk level and the second risk level, so as to perform production adjustment on the to-be-detected enterprise based on the production risk and realize real-time supervision on the to-be-detected enterprise. The embodiment of the specification adopts at least one technical scheme which can achieve the following beneficial effects:
by acquiring first safety data related to production equipment of an enterprise to be detected and performing risk analysis on second safety data related to the environment to which the production equipment belongs, when monitoring production of products of the enterprise to be detected, the safety of the equipment and the safety of the environment are considered, and comprehensive consideration of dangerous factors in the production process is ensured. The production risk of the corresponding area of the production equipment is comprehensively considered through the first safety data and the second safety data, how to adjust production can be combined with multi-factor analysis, real-time supervision of an enterprise to be detected is achieved, and the safety problem caused when the production risk is neglected and lost to be monitored is avoided.
Drawings
In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present specification, and for those skilled in the art, other drawings can be obtained according to the drawings without any creative effort. In the drawings:
fig. 1 is a schematic flow chart of a supervision method for safety production provided in an embodiment of the present disclosure;
fig. 2 is a schematic internal structural diagram of a safety production supervision device provided in an embodiment of the present specification;
fig. 3 is a schematic diagram of an internal structure of a nonvolatile storage medium according to an embodiment of the present disclosure.
Detailed Description
The embodiment of the specification provides a supervision method, equipment and medium for safety production.
In order to make those skilled in the art better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only a part of the embodiments of the present specification, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present specification without any creative effort shall fall within the protection scope of the present specification.
As shown in fig. 1, an embodiment of the present specification provides a flow diagram of a supervision method for safety production.
The scheme is executed by a server performing supervision service, and as can be seen from fig. 1, the method comprises the following steps:
s101: acquiring safety production data of an enterprise to be detected in the current time period; wherein the secure production data comprises: first safety production data related to a production device and second safety production data related to an environment to which the production device belongs.
The system and the method aim to realize real-time production monitoring of enterprises to be detected and ensure safety in the production process. The safety production data of the enterprise to be detected in the current time period needs to be acquired. To avoid the lack of data monitoring, the safety data includes, from a multi-factor perspective, first safety production data associated with the production facility and second safety production data associated with the environment of the production facility. So as to monitor the production from various aspects of equipment safety and surrounding environment safety, and reduce the possibility of dangerous production.
S102: and acquiring historical data change trends related to production equipment in the historical time period of the enterprise to be detected, and determining a risk trend value of the first safety production data in the current time period based on the historical data change trends and the change trends of each data in the first safety data in the current time period.
In order to determine the possible risks of the first safety production data, in one or more embodiments of the present disclosure, a risk trend value of the first safety production data is determined by combining the historical data and the current data. In order to increase the accuracy of the risk trend value, in one or more embodiments of the present specification, before obtaining a change trend of historical data related to production equipment in a historical time period of an enterprise to be detected, the method further includes the following steps: the method comprises the steps of firstly, obtaining historical production data related to production equipment, and dividing each parameter in the historical data into first historical data and second historical data according to the safety influence of the historical production data on the production equipment. Wherein, it is to be noted that the first history data is data which has a positive influence on the production equipment; and the second history data is data that negatively affects the production equipment; and respectively calculating the weight values of each parameter in the first historical data and the second historical data according to an analytic hierarchy process, and sequencing the weight values to sequentially select the historical data related to the production equipment based on the weight values so as to determine the corresponding change trend based on the historical data related to the production equipment.
In one or more embodiments of the present specification, determining a risk trend value of the first safety production data in the current time period based on a change trend of the historical data and a change trend of each data in the first safety data in the current time period specifically includes the following steps: determining a risk trend value of the first safety production data in the current time period based on the historical data change trend and the change trend of each data in the first safety data in the current time period, and comprising the following steps: firstly, historical data change trends are input into a preset learning model, so that predicted change trends corresponding to first safety production data in the current time period are output. And then determining the change trend of each data in the first safety production data in the current time period according to the first safety production data and the current time period. And determining the change error of each data in the first safety production data according to the determined predicted change trend and the change trend of each data in the first safety production data in the current time period. And determining the error grade of each data according to the obtained variation error and the variation threshold of each data. It will be appreciated that a higher error level indicates a greater deviation of the trend from the predicted trend, and a higher likelihood of risk is likely. And finally, weighting the error grades of the data according to the preset weight of the data to obtain a risk trend value of the first safety production data in the current time period. It should be noted that, for different production facilities, the key data affecting the production safety are different. The weight value of each data represents the ability of each data to affect security. The weight of the data with large influence on safe production is relatively high.
S103: and determining a first risk grade of the safe production data according to the preset risk trend value of the first safe production data and the risk trend value of the first safe production data in the current time period.
After determining the risk trend value of the first safety production data in the current time period based on the step S102, in order to perform more specific control on the risk, a specific risk level of the first safety production data needs to be determined based on the risk trend value. In one or more embodiments of the present specification, determining a first risk level of the safety production data according to a preset risk trend value of the first safety production data and a risk trend value of the first safety production data in a current time period specifically includes:
and if the risk trend value of the first safety production data in the current time period is smaller than the preset risk trend value, the first risk level of the safety production data is no risk, and the production can be continued. And if the risk trend value of the first safety production data in the current time period is larger than the preset risk trend value, determining a first risk level of the safety production data according to the difference value between the risk trend value in the current time period and the preset risk trend value and the preset risk judgment table. It should be noted that the preset risk determination table stores risk levels corresponding to the differences, so after the differences are determined, the risk levels corresponding to the differences can be obtained from the preset risk determination table.
S104: and acquiring a preset safe production strategy corresponding to the second safe production data.
Because the safety production data comprises the first safety production data and the second safety production data, in order to realize the comprehensive analysis of the safety production data and avoid the supervision loss of safety risks, the second safety production data is required to be analyzed. And because the second safety production data is second safety production data relating to the environment to which the production equipment belongs. In one or more embodiments of the present specification, before obtaining the preset safe production policy corresponding to the second safe production data, the method further includes the following steps:
firstly, according to the type of the production equipment, determining a production product corresponding to the production equipment. Then according to the product to the production environment restrictions, such as for: and determining the corresponding environmental parameter variation range in the area to which the production equipment belongs under the influence of the environmental temperature, the environmental humidity and the like. And then determining an environmental risk value corresponding to the change value of each environmental parameter according to the parameter change range of the environment so as to determine an environmental strategy of the area to which the production equipment belongs according to the change value and the environmental risk value. It should be noted that, in one or more embodiments of the present specification, before determining, according to a limiting condition of a production environment for a production product, a corresponding environmental parameter variation range in an area to which a production device belongs, the method further includes the following steps: firstly, analyzing production raw materials corresponding to a production product based on a principal component analysis method, thereby obtaining elements corresponding to the production product. And then determining the current production flow corresponding to the produced product according to the production equipment. And extracting data of the corresponding elements according to the current production flow to obtain the dangerous elements in the current flow in the production product. And finally, determining the limiting conditions of the production environment by the produced products according to the determined dangerous elements.
After the environment strategy is determined, because the difficulty degrees and the risk degrees of the production devices are different, operators of different work types or operators of different grades operate in different production devices and areas corresponding to the production devices, and the operation of each operator is standardized. Therefore, a personnel operation strategy of the area to which the production equipment belongs needs to be determined according to the area to which the production equipment belongs and the production product corresponding to the equipment, so that an operation risk value in the current time period is determined based on the personnel operation strategy. And forming a preset safe production strategy according to the determined environment strategy of the area to which the production equipment belongs and the operation strategy of personnel.
S105: and determining the error of the second safety production data and preset production data based on the preset safety production strategy so as to determine a second risk level of the safety production data according to the error.
After the first risk level is determined in step S103, in order to implement real-time monitoring of the enterprise to be detected, the risk of the second safety production data needs to be determined, so as to determine a final risk by combining the first risk level and the second risk level. In one or more embodiments of the present description, an error of the second safety production data from the preset production data is determined based on a preset safety production policy to determine a second risk level of the second safety production data according to the error.
In particular, the method of determining the second risk level comprises the steps of: firstly, according to a preset safe production strategy, an environment strategy and a personnel operation strategy of an area to which production equipment belongs are determined, and production data corresponding to the environment strategy and the operation strategy are used as preset production data. And then determining the environmental risk level of the second safety production data according to the change value of each environmental parameter in the second safety production data and the environmental risk value corresponding to the change value of each environmental parameter in the preset production data. And then determining the operation risk level of the second safety production data according to the personnel operation data in the second safety production data and the personnel operation data in the preset production data. And determining the weight values of the environmental parameters and the personnel operation data based on the region to which the production equipment belongs and the production product corresponding to the production equipment. And finally, weighting the environment risk level and the operation risk level based on the weight value to determine a second risk level of the second safety production data.
S106: and determining the corresponding production risk of the corresponding area of the production equipment in the current time period based on the first risk level and the second risk level, so as to perform production adjustment on the to-be-detected enterprise based on the production risk and realize real-time supervision on the to-be-detected enterprise.
After the first risk level and the second risk level are determined in the above steps S103 and S105, the first risk level and the second risk level are added, so as to determine the production risk of the area corresponding to the production equipment in the current time period. After determining the production risk, in order to adjust the production based on the risk, in one or more embodiments of the present specification, after determining the production risk corresponding to the corresponding area of the production equipment in the current time period based on the first risk level and the second risk level, the method further includes: and if the corresponding production risk of the corresponding area of the production equipment in the current time period is determined to be smaller than the preset production risk in the corresponding area of the production equipment, continuing to produce the product. And if the corresponding production risk of the corresponding area of the production equipment in the current time period is determined to be greater than the preset production risk in the corresponding area of the production equipment, sending the production risk to a supervisor in the corresponding area of the production equipment, and stopping various production activities in the corresponding area of the production equipment. So that the supervisor can obtain the production risk of the production equipment and the corresponding area of the production equipment, and further harm which may occur in the continuous production can be avoided.
After stopping the production of the equipment at risk, the production needs to be adjusted in order to guarantee the normal sale of the enterprise to be detected. In one or more embodiments of the present specification, adjusting production of an enterprise to be detected based on production risk specifically includes the following steps: firstly, according to a preset safe production strategy, determining production data of production equipment meeting requirements in the current time; and then extracting the characteristic data in the production data meeting the requirements so as to determine a plurality of target production devices corresponding to the characteristic data in the enterprise to be detected according to the extracted characteristic data. And if the production risk is larger than a preset risk threshold value, acquiring a preset production task of the corresponding area of the production equipment in the current time period. Determining idle equipment in the target production equipment to convert a preset production task in the production equipment to the idle equipment, and informing maintenance personnel to maintain the idle equipment when the idle equipment is used for production so as to adjust the safety production data of the production equipment to be within a normal range.
The influence on the production safety of the enterprise to be detected is avoided when the risky equipment continues to produce. In one or more embodiments of the present specification, after performing production adjustment on the enterprise to be detected based on the production risk, the method further includes the following steps: firstly, determining areas corresponding to a plurality of production devices of which the production risks are larger than a preset threshold value in an enterprise to be detected; if the area ratio of the areas corresponding to the multiple production devices to the production areas corresponding to the to-be-detected enterprise is larger than a preset first ratio and smaller than a preset second ratio, the areas corresponding to the multiple production devices in the to-be-detected enterprise are safely maintained. The area ratio of the area with the production risk greater than the preset threshold to the total production area of the enterprise to be detected is the area ratio of the area with the production risk to the total production area of the enterprise to be detected. And if the area ratio of the areas corresponding to the plurality of production devices to the production area of the enterprise to be detected is greater than the preset second ratio, performing safety maintenance on the production area corresponding to the enterprise to be detected. It is to be understood that continuing production beyond the second ratio may create a safety hazard for the entire production area.
In one or more embodiments of the present disclosure, as shown in fig. 2, a schematic diagram of an internal structure of a safety production supervision device is provided.
As can be seen from fig. 2, the apparatus comprises:
at least one processor 201; and the number of the first and second groups,
a memory 202 communicatively connected to the at least one processor 201; wherein the content of the first and second substances,
the memory 202 stores instructions executable by the at least one processor 201 to enable the at least one processor 201 to:
acquiring safety production data of an enterprise to be detected in the current time period; wherein the secure production data comprises: first safety production data related to production equipment and second safety production data related to the environment to which the production equipment belongs;
acquiring historical data change trends related to production equipment in the historical time period of the enterprise to be detected, and determining a risk trend value of the first safety production data in the current time period based on the historical data change trends and the change trends of each data in the first safety data in the current time period;
determining a first risk level of the safe production data according to a preset risk trend value of the first safe production data and a risk trend value of the first safe production data in a current time period;
acquiring a preset safe production strategy corresponding to the second safe production data;
determining an error of the second safety production data and preset production data based on the preset safety production strategy so as to determine a second risk level of the safety production data according to the error;
and determining the corresponding production risk of the corresponding area of the production equipment in the current time period based on the first risk level and the second risk level, so as to perform production adjustment on the to-be-detected enterprise based on the production risk and realize real-time supervision on the to-be-detected enterprise.
In one or more embodiments of the present disclosure, as shown in fig. 3, a schematic diagram of an internal structure of a non-volatile storage medium is provided.
As can be seen from fig. 3, a non-volatile storage medium stores computer-executable instructions 301, where the executable instructions 301 include:
acquiring safety production data of an enterprise to be detected in the current time period; wherein the secure production data comprises: first safety production data related to production equipment and second safety production data related to the environment to which the production equipment belongs;
acquiring historical data change trends related to production equipment in the historical time period of the enterprise to be detected, and determining a risk trend value of the first safety production data in the current time period based on the historical data change trends and the change trends of each data in the first safety data in the current time period;
determining a first risk level of the safe production data according to a preset risk trend value of the first safe production data and a risk trend value of the first safe production data in a current time period;
acquiring a preset safe production strategy corresponding to the second safe production data;
determining an error between the second safety production data and preset production data based on the preset safety production strategy so as to determine a second risk level of the safety production data according to the error;
and determining the corresponding production risk of the corresponding area of the production equipment in the current time period based on the first risk level and the second risk level, so as to perform production adjustment on the to-be-detected enterprise based on the production risk and realize real-time supervision on the to-be-detected enterprise.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the embodiments of the apparatus, the device, and the nonvolatile computer storage medium, since they are substantially similar to the embodiments of the method, the description is simple, and for the relevant points, reference may be made to the partial description of the embodiments of the method.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The above description is intended to represent one or more embodiments of the present disclosure, and should not be taken to be limiting of the present disclosure. Various modifications and alterations to one or more embodiments of the present description will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement or the like made within the spirit and principle of one or more embodiments of the present specification should be included in the scope of the claims of the present specification.
Claims (10)
1. A method for supervising safe production, the method comprising:
acquiring safety production data of an enterprise to be detected in the current time period; wherein the secure production data comprises: first safety production data related to production equipment and second safety production data related to the environment to which the production equipment belongs;
acquiring historical data change trends related to production equipment in the historical time period of the enterprise to be detected, and determining a risk trend value of the first safety production data in the current time period based on the historical data change trends and the change trends of each data in the first safety data in the current time period;
determining a first risk level of the safe production data according to a preset risk trend value of the first safe production data and a risk trend value of the first safe production data in a current time period;
acquiring a preset safe production strategy corresponding to the second safe production data;
determining an error of the second safety production data and preset production data based on the preset safety production strategy so as to determine a second risk level of the safety production data according to the error;
and determining the corresponding production risk of the corresponding area of the production equipment in the current time period based on the first risk level and the second risk level, so as to perform production adjustment on the to-be-detected enterprise based on the production risk and realize real-time supervision on the to-be-detected enterprise.
2. The method for supervising safety production according to claim 1, wherein before acquiring the change trend of the historical data related to the production equipment in the historical time period of the enterprise to be detected, the method further comprises:
acquiring historical production data related to the production equipment, and dividing each parameter in the historical data into first historical data and second historical data according to the safety influence of the historical production data on the production equipment; wherein the first historical data is data which has positive influence on the production equipment; the second historical data is data which has negative influence on the production equipment;
respectively calculating the weight values of the first historical data and the second historical data based on an analytic hierarchy process, sequencing the weight values, and sequentially selecting the historical data related to the production equipment based on the weight values so as to determine the corresponding change trend based on the historical data related to the production equipment.
3. The method as claimed in claim 1, wherein the determining a risk trend value of the first safety production data in the current time period based on the historical data change trend and the change trend of each data in the first safety data in the current time period specifically includes:
inputting the historical data change trend into a preset learning model to output a predicted change trend corresponding to the first safety production data in the current time period;
determining the change trend of each data in the first safety production data in the current time period according to the first safety production data and the current time period;
determining variation errors of each data in the first safety production data based on the predicted variation trend and the variation trend in the current time period;
and determining the error grade of each data according to the variation error and the variation threshold of each data, and weighting the error grade of each data based on the preset weight of each data to obtain the risk trend value of the first safety production data in the current time period.
4. The method as claimed in claim 1, wherein the determining the first risk level of the safety production data according to the preset risk trend value of the first safety production data and the risk trend value of the first safety production data in the current time period specifically includes:
if the risk trend value of the first safety production data in the current time period is smaller than the preset risk trend value, the first risk level of the safety production data is no risk;
if the risk trend value of the first safety production data in the current time period is larger than the preset risk trend value, determining a first risk grade of the safety production data according to a difference value between the risk trend value in the current time period and the preset risk trend value and a preset risk judgment table; and the preset risk judgment table stores risk grades corresponding to the difference values.
5. The method for supervising safety production according to claim 1, wherein before the obtaining of the preset safety production policy corresponding to the second safety production data, the method further comprises:
determining a production product corresponding to the production equipment according to the type of the production equipment;
determining a corresponding environment parameter variation range in the area to which the production equipment belongs according to the limiting condition of the production product on the production environment;
determining an environmental risk value corresponding to the change value of each environmental parameter based on the change range of the environmental parameters, and determining an environmental strategy of the area to which the production equipment belongs based on the change value of the environmental parameters and the environmental risk value;
determining a personnel operation strategy of the area to which the production equipment belongs according to the area to which the production equipment belongs and a production product corresponding to the equipment, so as to determine an operation risk value in the current time period based on the personnel operation strategy;
and forming the preset safe production strategy according to the environment strategy and the personnel operation strategy of the region to which the production equipment belongs.
6. The method as claimed in claim 5, wherein before determining the corresponding environmental parameter variation range in the area to which the production equipment belongs according to the limitation condition of the production product on the production environment, the method further comprises:
analyzing the production raw materials corresponding to the production products based on a principal component analysis method to obtain elements corresponding to the production products;
determining a production flow corresponding to the production product based on the production equipment, and performing data extraction on the corresponding elements based on the production flow to obtain dangerous elements in the production product;
and determining the limiting conditions of the production product to the production environment based on the dangerous elements.
7. The method according to claim 5, wherein the determining the error between the second safety production data and the preset production data based on the preset safety production policy to determine the second risk level of the second safety production data according to the error comprises:
determining an environment strategy and a personnel operation strategy of the region to which the production equipment belongs according to the preset safe production strategy, and taking production data corresponding to the environment strategy and the operation strategy as preset production data;
determining the environmental risk level of the second safety production data according to the change value of each environmental parameter in the second safety production data and the environmental risk value corresponding to the change value of each environmental parameter in the preset production data;
determining the operation risk level of the second safety production data according to the personnel operation data in the second safety production data and the personnel operation data in the preset production data;
determining the weight values of the environmental parameters and the personnel operation data based on the area to which the production equipment belongs and the production product corresponding to the production equipment;
and weighting the environmental risk level and the operation risk level based on the weight value, and determining a second risk level of the second safety production data.
8. The method of claim 1, wherein after determining the production risk corresponding to the corresponding area of the production equipment within the current time period based on the first risk level and the second risk level, the method further comprises:
if the corresponding production risk of the corresponding area of the production equipment in the current time period is determined to be smaller than the preset production risk in the corresponding area of the production equipment, continuing to produce the product;
if the corresponding production risk of the corresponding area of the production equipment in the current time period is determined to be greater than the preset production risk in the corresponding area of the production equipment, the production risk is sent to a supervisor in the corresponding area of the production equipment, and various production activities in the corresponding area of the production equipment are stopped.
9. The method for supervising safety production according to claim 1, wherein the adjusting production of the to-be-detected enterprise based on the production risk specifically includes:
according to the preset safe production strategy, determining production data of the production equipment meeting the requirements in the current time;
extracting characteristic data in the production data meeting the requirements to determine a plurality of target production devices corresponding to the characteristic data in the enterprise to be detected based on the characteristic data;
if the production risk is larger than a preset risk threshold value, acquiring a preset production task of a corresponding area of the production equipment in the current time period;
determining idle equipment in the target production equipment, so as to convert preset production tasks in the production equipment to the idle equipment, and adjusting the safe production data of the production equipment to be within a normal range.
10. A safety production supervision device, characterized in that it comprises:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
acquiring safety production data of an enterprise to be detected in the current time period; wherein the secure production data comprises: first safety production data related to production equipment and second safety production data related to the environment to which the production equipment belongs;
acquiring historical data change trends related to production equipment in the historical time period of the enterprise to be detected, and determining a risk trend value of the first safety production data in the current time period based on the historical data change trends and the change trends of each data in the first safety data in the current time period;
determining a first risk level of the safe production data according to a preset risk trend value of the first safe production data and a risk trend value of the first safe production data in a current time period;
acquiring a preset safe production strategy corresponding to the second safe production data;
determining an error of the second safety production data and preset production data based on the preset safety production strategy so as to determine a second risk level of the safety production data according to the error;
and determining the corresponding production risk of the corresponding area of the production equipment in the current time period based on the first risk level and the second risk level, so as to perform production adjustment on the to-be-detected enterprise based on the production risk and realize real-time supervision on the to-be-detected enterprise.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210107191.6A CN114511220A (en) | 2022-01-28 | 2022-01-28 | Safety production supervision method and equipment |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210107191.6A CN114511220A (en) | 2022-01-28 | 2022-01-28 | Safety production supervision method and equipment |
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| CN114511220A true CN114511220A (en) | 2022-05-17 |
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| CN202210107191.6A Pending CN114511220A (en) | 2022-01-28 | 2022-01-28 | Safety production supervision method and equipment |
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| CN (1) | CN114511220A (en) |
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2022
- 2022-01-28 CN CN202210107191.6A patent/CN114511220A/en active Pending
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