A method, system and storage medium for enterprise safety production management

Abstract

This application discloses a method, system, and storage medium for enterprise safety production management, relating to the field of enterprise production management technology. The method includes the following steps: detecting production data in the enterprise's production workshop using a detection device installed in the workshop; acquiring hazard reporting information targeting the detection device; calculating the comprehensive risk level of the detection device by combining the production data and the hazard reporting information; if the comprehensive risk level exceeds a first-level threshold, constructing a risk emergency response process based on the comprehensive risk level; initiating the risk emergency response process to handle the hazard reporting information; if the comprehensive risk level exceeds a second-level threshold, generating an alarm message and sending the alarm message to a mobile terminal held by the safety manager of the detection device, enabling the safety manager to handle the hazard reporting information. This application has the effect of classifying and processing hazard reporting information to improve the timeliness of hazard handling.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of enterprise production management, in particular to an enterprise safety production management method and system and a storage medium. BACKGROUND

[0002] In the production process of an enterprise, the principle of safety production needs to be followed, and corresponding accident prevention and control measures need to be taken to ensure that the production process is carried out under the prescribed conditions, to ensure the safety and health of employees, the safety of equipment and facilities, the safety of the environment, and the smooth operation of production and business activities. Large-scale enterprise production plants contain a large number of production equipment. In order to ensure that the production equipment and the production environment of the production plant meet the safety production standards, various types of detection devices can be installed in the plant and the production equipment. Through the detection devices, the running data of the production equipment and the environmental data of the plant can be obtained in real time. Through data analysis, equipment abnormalities or environmental abnormalities can be analyzed. After the abnormalities are analyzed, the abnormal equipment or environmental area can be processed in a timely manner.

[0003] However, the detection devices also have a certain service life. When the service time of the detection devices exceeds a certain period, the data obtained by the detection devices in real time may be abnormal due to aging of internal parts of the detection devices, and thus misjudgments of equipment abnormalities or environmental abnormalities may easily occur in the data analysis process. Therefore, it is necessary to regularly detect the detection devices through manual inspection. When hidden dangers are detected, the detection personnel will report the hidden danger situation to the plant safety person in charge, who will then take appropriate measures to address the hidden danger situation.

[0004] According to the related technology described above, the inventors believe that the following defects exist: The hidden danger situations of the detection devices detected by the detection personnel vary in severity. When the plant safety person in charge receives a large number of reported hidden danger situations in the same period, the more serious hidden danger situations will be given priority, thereby lengthening the processing cycle of other hidden danger situations, and the timeliness of the overall hidden danger situation processing is poor. SUMMARY

[0005] In order to improve the timeliness of the overall hidden danger situation processing when a large number of hidden danger situations of the detection devices are detected in the same period, the present application provides an enterprise safety production management method, system and storage medium.

[0006] The present application provides an enterprise safety production management method, which comprises the following steps:

[0007] detecting production data of an enterprise production workshop through a detection device arranged in the enterprise production workshop;

[0008] obtaining hidden danger report information targeting the detection device;

[0009] combine the production data and the hidden danger reporting information to calculate a comprehensive risk level of the detection device;

[0010] determine whether the comprehensive risk level exceeds a preset first level threshold;

[0011] if the comprehensive risk level exceeds the first level threshold, construct a risk emergency handling process based on the comprehensive risk level;

[0012] start the risk emergency handling process to handle the hidden danger reporting information;

[0013] if the comprehensive risk level does not exceed the first level threshold, determine whether the comprehensive risk level exceeds a preset second level threshold, the second level threshold being lower than the first level threshold;

[0014] if the comprehensive risk level exceeds the second level threshold, generate an alarm information and send the alarm information to a mobile terminal held by a safety person in charge of the detection device, so that the safety person in charge handles the hidden danger reporting information.

[0015] By using the above technical solution, after obtaining the hidden danger reporting information of the detection device, the production data of the detection device and the obtained hidden danger reporting information are comprehensively analyzed and calculated to obtain the comprehensive risk level of the detection device, and the comprehensive risk level is classified by the two preset level thresholds, the low-risk hidden danger exceeding the second level threshold and not exceeding the first level threshold is pre-alerted to remind the safety person in charge of the detection device to pay attention to the corresponding detection device, and for the high-risk hidden danger higher than the first level threshold, a risk emergency handling process can be constructed and started according to the specific comprehensive risk level to handle the hidden danger reporting information in time. The hidden danger risk of the hidden danger reporting information is classified and different handlers are assigned to handle it, which has better handling timeliness compared with unified reporting and handling of hidden dangers.

[0016] Optionally, the hidden danger reporting information is uploaded by a worker of the enterprise production workshop, the hidden danger reporting information includes a self-evaluation risk level input by the worker, and the combination of the production data and the hidden danger reporting information to calculate the comprehensive risk level of the detection device includes the following steps:

[0017] generate an analysis time period based on the acquisition time of the hidden danger reporting information;

[0018] generate an actual data trend chart according to the production data in the analysis time period;

[0019] select a historical time period based on the analysis time period, any time point in the historical time period being earlier than any time point in the analysis time period;

[0020] retrieve historical production data detected by the detection device in the historical time period from a preset historical database;

[0021] predict prediction data of the production data in the analysis time period based on the historical production data, and generate a prediction data trend chart;

[0022] calculate an analysis risk level in combination with the prediction data trend chart and the actual data trend chart;

[0023] calculate a comprehensive risk level in combination with the analysis risk level and the self-evaluation risk level.

[0024] By using the above technical solution, when calculating the comprehensive risk level, the self-evaluation risk level input by the staff uploading the hidden danger reporting information needs to be considered, and the analysis risk level calculated by comparing the prediction data trend and the actual data trend also needs to be considered. The actual data trend can be directly analyzed based on the obtained production data, and the prediction data trend needs to be analyzed based on the historical production data in a suitable historical time period retrieved from the historical database.

[0025] Optionally, the step of selecting the historical time period based on the analysis time period comprises the following steps:

[0026] obtain target production data detected by the detection device based on a preset reference time period, any time point in the reference time period being earlier than any time point in the analysis time period;

[0027] analyze and determine whether the production data has periodicity according to all the target production data in the reference time period;

[0028] if the production data does not have the periodicity, the reference time period is selected as the historical time period;

[0029] if the production data has the periodicity, a time period containing a complete cycle of the production data in the reference time period is selected as the historical time period.

[0030] By using the above technical solution, when selecting the historical time period, it is necessary to determine whether the production data has periodicity according to the target production data in the reference time period. If the production data has periodicity, a time period containing a complete cycle of the production data is selected as the historical time period. If the production data does not have periodicity, since any time point in the reference time period is earlier than any time point in the analysis time period, the reference time period can be directly selected as the historical time period.

[0031] Optionally, the predicting the production data in the analysis time period based on the historical production data and generating a prediction data trend chart comprises the following steps of:

[0032] judging whether the production data has the periodicity;

[0033] if the production data has the periodicity, intercepting a target time period having the same periodicity as the analysis time period from the historical time period based on the periodicity;

[0034] taking all the historical production data in the target time period as prediction data and generating a prediction data trend chart based on all the prediction data;

[0035] if the production data does not have the periodicity, predicting the production data in the analysis time period based on the historical production data by an exponential smoothing method and generating a prediction data trend chart based on all the prediction data.

[0036] By using the above technical solution, if the production data has the periodicity, the change trend of the production data can be directly predicted according to the periodic change rule, and if the production data does not have the periodicity, the change trend of the production data can be predicted by the exponential smoothing method and a prediction data trend chart is generated.

[0037] Optionally, the calculating the analysis risk level by combining the prediction data trend chart and the actual data trend chart comprises the following steps of:

[0038] marking a plurality of target prediction data in the prediction data trend chart based on a preset time interval and marking a plurality of target actual data in the actual data trend chart corresponding to the time at which the plurality of target prediction data are located;

[0039] judging whether there is a target time at which the target prediction data is the same as the target actual data, and a time at which the target prediction data is not the same as the target actual data is a non-target time;

[0040] if there is no target time, the analysis risk level is calculated to be a first analysis risk level;

[0041] if there is the target time, the number of times of the target time is counted;

[0042] judging whether the number of times exceeds a preset number threshold;

[0043] if the number of times does not exceed the number threshold, the average data difference between the target prediction data and the target actual data at all the non-target times is calculated;

[0044] judging whether the average data difference exceeds a preset difference threshold;

[0045] If the average data difference value exceeds the difference value threshold, the analysis risk level is calculated as a second analysis risk level, which is lower than the first analysis risk level;

[0046] If the average data difference value does not exceed the difference value threshold, the analysis risk level is calculated as a third analysis risk level, which is lower than the second analysis risk level;

[0047] If the number of time points exceeds the number threshold, the analysis risk level is calculated as a fourth analysis risk level, which is lower than the third analysis risk level.

[0048] By using the above technical solution, different risk levels are calculated through multi-layer judgment combining the predicted data trend graph and the actual data trend graph. The target data at the same time point is marked in the predicted data trend graph and the actual data trend graph based on the same time interval. If the target data at each same time point in the two trend graphs is different, it indicates that the predicted data and the actual data are greatly different, and thus the highest first analysis risk level is calculated. If there is the same data at the same time point, the number of time points at the same time point is further judged. If the number of time points exceeds the number threshold, it indicates that the predicted data and the actual data are very small, and thus the lowest fourth analysis risk level is calculated. The second analysis risk level and the third analysis risk level in the middle can calculate the average data difference value of each same time point, and are distinguished by the preset difference value threshold.

[0049] Optionally, the constructing a risk emergency handling process based on the comprehensive risk level comprises the following steps:

[0050] Selecting the highest emergency handling authority based on the comprehensive risk level;

[0051] Identifying a target management department reported by the hidden danger reporting information;

[0052] Retrieving terminal information of target mobile terminals held by target personnel from a preset personnel database, the target personnel being personnel belonging to the target management department and having an authority lower than or equal to the highest emergency handling authority;

[0053] Obtaining terminal authorities of all the target mobile terminals and a subordination relationship between all the target mobile terminals based on the terminal information;

[0054] Constructing a risk emergency handling process containing all the target mobile terminals in combination with the terminal authorities and the subordination relationship.

[0055] By adopting the technical scheme, the highest emergency treatment permission is determined according to the calculated comprehensive risk level, the terminal information of all personnel lower than or equal to the highest emergency treatment permission in all target management departments responsible for treating the hidden danger is retrieved, the terminal permission and the subordinate relationship between the terminals are further acquired, and finally the risk emergency treatment process is constructed in combination with the terminal permission and the subordinate relationship.

[0056] Optionally, the starting of the risk emergency treatment process to treat the hidden danger report information comprises the following steps:

[0057] A communication topology between all the target mobile terminals is constructed based on the risk emergency treatment process;

[0058] Communication interfaces of all the target mobile terminals are configured based on the communication topology;

[0059] After the configuration of all the communication interfaces is completed, whether the communication between all the target mobile terminals conforms to the topology logic of the communication topology is detected;

[0060] If the communication between all the target mobile terminals conforms to the topology logic, a starting node in the risk emergency treatment process is triggered to treat the hidden danger report information;

[0061] If there is an abnormal target mobile terminal that does not conform to the topology logic, the communication interfaces of all the abnormal target mobile terminals are adjusted according to the topology logic;

[0062] The starting node in the risk emergency treatment process is triggered to treat the hidden danger report information.

[0063] By adopting the technical scheme, the communication topology of all the target mobile terminals is constructed according to the treatment node in the risk emergency treatment process and the subordinate relationship contained in the process, after the communication interfaces of all the target mobile terminals are configured based on the communication topology, since the communication topology has a unique topology logic, whether the configuration of all the communication interfaces is correct can be detected according to the topology logic, if there is an abnormal target mobile terminal that violates the topology logic, the communication interfaces thereof need to be adjusted according to the topology logic, and after it is ensured that all the communication interfaces are correctly configured, the starting node in the risk emergency treatment process can be triggered to start the treatment work of the hidden danger report information.

[0064] Optionally, after the starting of the risk emergency treatment process to treat the hidden danger report information, the following steps are further included:

[0065] The time when the starting node is triggered is saved as a triggering time;

[0066] The current time of the system is acquired;

[0067] The processing time of the hidden danger report information is calculated in real time according to the trigger time and the current system time;

[0068] It is judged whether the processing time exceeds a preset processing time threshold value;

[0069] If the processing time exceeds the processing time threshold value, a permission level N of the highest emergency processing permission is obtained;

[0070] A target communication interface of a mobile terminal of a target leader personnel of a permission level N+1 is called from the personnel database, and the processing permission of the permission level N+1 is taken as the highest emergency processing permission;

[0071] Risk processing information is sent to the mobile terminal of the target leader personnel according to the target communication interface;

[0072] The trigger time is reset to the current system time, and the above real-time calculation step is repeated.

[0073] By adopting the above technical solution, the processing time of the hidden danger report information is judged by the preset processing time threshold value, when the processing time exceeds the processing time threshold value, the target leader personnel of a higher permission level than the highest emergency processing permission needs to be informed to join the processing flow and supervise the processing speed of the hidden danger report information, and the trigger time is reset to the current system time after the target leader personnel joins, and the processing time is restarted, if the processing time exceeds the processing time threshold value again, the target leader personnel of a higher permission level is informed again, so that the processing progress of the risk emergency processing flow is accelerated by the supervision mechanism of the superior.

[0074] In a second aspect, the application further provides an enterprise safety production management system, comprising a memory, a processor and a program stored in the memory and executable on the processor, the program can be loaded and executed by the processor to realize the enterprise safety production management method as described in the first aspect.

[0075] By adopting the technical scheme, the hidden danger reporting information with the detection device as a target can be acquired through program calling, after the hidden danger reporting information of the detection device is acquired, the comprehensive risk level of the detection device can be calculated by comprehensively analyzing the production data of the detection device and the acquired hidden danger reporting information, and the comprehensive risk level is classified through the two preset level thresholds, the low-risk hidden danger exceeding the second level threshold and not exceeding the first level threshold is processed for early warning to remind the safety person in charge of the detection device to pay attention to the corresponding detection device, and for the high-risk hidden danger higher than the first level threshold, a risk emergency processing flow can be constructed and started according to the specific comprehensive risk level to process the hidden danger reporting information in time. The hidden danger risks of the hidden danger reporting information are classified and different processing persons are assigned to process, compared with unified reporting and processing of the hidden dangers, the processing timeliness is better.

[0076] In a third aspect, the present application also provides a computer readable storage medium, the computer readable storage medium stores a computer program, when the computer program is executed by a processor, the processor implements the enterprise safety production management method as described in the first aspect.

[0077] By adopting the technical scheme, the hidden danger reporting information with the detection device as a target can be acquired through program calling, after the hidden danger reporting information of the detection device is acquired, the comprehensive risk level of the detection device can be calculated by comprehensively analyzing the production data of the detection device and the acquired hidden danger reporting information, and the comprehensive risk level is classified through the two preset level thresholds, the low-risk hidden danger exceeding the second level threshold and not exceeding the first level threshold is processed for early warning to remind the safety person in charge of the detection device to pay attention to the corresponding detection device, and for the high-risk hidden danger higher than the first level threshold, a risk emergency processing flow can be constructed and started according to the specific comprehensive risk level to process the hidden danger reporting information in time. The hidden danger risks of the hidden danger reporting information are classified and different processing persons are assigned to process, compared with unified reporting and processing of the hidden dangers, the processing timeliness is better.

[0078] In summary, the present application has the following beneficial technical effects:

[0079] After obtaining the hidden danger reporting information of the detection device, the production data of the detection device and the obtained hidden danger reporting information are comprehensively analyzed and calculated to obtain a comprehensive risk level of the detection device, and the comprehensive risk level is classified through two preset level thresholds. The low-risk hidden danger exceeding the second level threshold and not exceeding the first level threshold is prewarned to remind the safety person in charge of the detection device to pay attention to the corresponding detection device, and the high-risk hidden danger higher than the first level threshold can construct and start a risk emergency processing flow according to the specific comprehensive risk level, so as to process the hidden danger reporting information in time. The hidden danger risk of the hidden danger reporting information is classified and different processors are assigned to process, which has better processing timeliness compared with unified reporting and processing of the hidden danger. BRIEF DESCRIPTION OF DRAWINGS

[0080] Figure 1 is a flowchart of one embodiment of the enterprise safety production management method of the present application.

[0081] Figure 2 is a flowchart of one embodiment of the enterprise safety production management method of the present application.

[0082] Figure 3 is a flowchart of one embodiment of the enterprise safety production management method of the present application.

[0083] Figure 4 is a flowchart of one embodiment of the enterprise safety production management method of the present application.

[0084] Figure 5 is a flowchart of one embodiment of the enterprise safety production management method of the present application.

[0085] Figure 6 is a flowchart of one embodiment of the enterprise safety production management method of the present application.

[0086] Figure 7 is a flowchart of one embodiment of the enterprise safety production management method of the present application.

[0087] Figure 8 is a flowchart of one embodiment of the enterprise safety production management method of the present application. DETAILED DESCRIPTION

[0088] The following will be described in detail below with reference to the accompanying drawings. Figures 1 to 8 The present application will be further described in detail.

[0089] The present application discloses an enterprise safety production management method.

[0090] Reference will be made toFigure 1 The enterprise safety production management method comprises the following steps:

[0091] S101. Detecting production data of an enterprise production workshop through a detection device arranged in the enterprise production workshop.

[0092] The production data comprises production equipment data of production equipment in the enterprise production workshop and production environment data of the enterprise production workshop, and the detection device comprises various sensors such as a current sensor, a voltage sensor, a temperature sensor, a humidity sensor and the like. The detection device for detecting the production equipment, such as the current sensor and the voltage sensor, can be arranged inside the production equipment, and the detection device for detecting the environment data, such as the temperature sensor and the humidity sensor, can be arranged on a wall of the enterprise production workshop.

[0093] S102. Obtaining hidden danger reporting information with the detection device as a target.

[0094] The corresponding information label is arranged beside the detection device, and the information label can be a two-dimensional code or an RFID label. The information label stores basic information of the closest detection device, and the basic information comprises a detection device category, a detection device installation time, a detection device last maintenance time and the like. The information label of the detection device arranged inside the production equipment can be arranged on the production equipment shell. If the worker detects hidden danger of the detection device during the inspection, the worker can scan the information label beside the detection device through the mobile terminal, read the basic information in the information label through the mobile terminal, and then compile the hidden danger reporting information based on the basic information and upload the hidden danger reporting information to the current execution subject. The current execution subject is in communication connection with all the mobile terminals, so that the hidden danger reporting information can be obtained through each mobile terminal. The mobile terminal is a mobile device with a two-dimensional code scanning function or an RFID label identification function.

[0095] S103. Calculating a comprehensive risk level of the detection device in combination with the production data and the hidden danger reporting information.

[0096] The analysis risk level of the corresponding detection device can be intelligently analyzed according to the production data, and the self-evaluation risk level filled by the worker when compiling the hidden danger reporting information is also included in the hidden danger reporting information in addition to the basic information of the corresponding detection device. Therefore, the comprehensive risk level of the detection device can be calculated in combination with the analysis risk level and the self-evaluation risk level.

[0097] S104. Judging whether the comprehensive risk level exceeds a preset first level threshold. If the comprehensive risk level exceeds the first level threshold, step S105 is executed; if the comprehensive risk level does not exceed the first level threshold, step S107 is executed.

[0098] S105. Construct a risk emergency handling flow based on the comprehensive risk level.

[0099] The highest handling permission upper limit is determined based on the comprehensive risk level, and a plurality of relevant handling personnel are filtered from a preset database based on the highest handling permission upper limit. The nodes are arranged according to the permission levels and the subordinate relationships of all the relevant handling personnel, and the risk emergency handling flow is constructed according to the arrangement result.

[0100] S106. Start the risk emergency handling flow to handle the hidden danger report information.

[0101] After the risk emergency handling flow is started, when a corresponding flow node is reached, the handling personnel at the flow node can obtain handling information through a mobile terminal, and assign the handling personnel in the next node or perform maintenance on the detection device corresponding to the hidden danger report information according to the handling information, so as to handle the hidden danger report information and the detection device corresponding to the hidden danger report information according to the flow of the progressive assignment.

[0102] S107. Determine whether the comprehensive risk level exceeds a preset second level threshold. If the comprehensive risk level exceeds the second level threshold, execute step S108.

[0103] The second level threshold is lower than the first level threshold. If it is determined that the comprehensive risk level does not exceed the second level threshold, no operation is performed.

[0104] S108. Generate an alarm information and send the alarm information to a mobile terminal held by a safety person in charge of the detection device, so that the safety person in charge handles the hidden danger report information.

[0105] The alarm information includes preset text information and an alarm signal. After the mobile terminal receives the alarm information, the text information will be displayed on the display screen of the mobile terminal, and the alarm sound will be emitted through the built-in loudspeaker of the mobile terminal in response to the alarm signal.

[0106] The implementation principle of the embodiment is as follows:

[0107] After obtaining the hidden danger reporting information of the detection device, the comprehensive risk level of the detection device can be calculated by comprehensively analyzing the production data of the detection device and the obtained hidden danger reporting information, and the comprehensive risk level can be classified by the two preset level thresholds. The low-risk hidden danger exceeding the second level threshold and not exceeding the first level threshold is processed for early warning to remind the safety person in charge of the detection device to pay attention to the corresponding detection device. For the high-risk hidden danger higher than the first level threshold, a risk emergency processing flow can be constructed and started according to the specific comprehensive risk level, so that the hidden danger reporting information can be processed in time. The hidden danger risk of the hidden danger reporting information is classified and different processors are assigned to process it. Compared with unified reporting and processing of hidden dangers, it has better processing timeliness.

[0108] In one of the embodiments of the present embodiment, referring to Figure 2 , the hidden danger reporting information is uploaded by the staff of the enterprise production workshop, and the hidden danger reporting information includes the self-evaluation risk level input by the staff. Step S103 specifically includes the following steps:

[0109] S201. Generating an analysis time period based on the acquisition time of the hidden danger reporting information.

[0110] The acquisition time of the hidden danger reporting information is the upload time when the inspection staff uploads the hidden danger reporting information using the mobile terminal. The acquisition time is reduced by the preset interval time to obtain the start time, and then the analysis time period is generated with the start time as the starting point and the acquisition time as the ending point.

[0111] S202. Generating an actual data trend chart according to the production data in the analysis time period.

[0112] All the data detected by the detection device are uploaded and saved to the preset detection database. All the production data of the corresponding detection device in the detection database are retrieved according to the analysis time period, and the actual data trend chart is generated based on all the production data with the analysis time period as the horizontal axis and the production data value as the vertical axis.

[0113] S203. Selecting a historical time period based on the analysis time period.

[0114] Any time in the historical time period is earlier than any time in the analysis time period.

[0115] S204. Retrieving historical production data of the detection device in the historical time period from the preset historical database.

[0116] All detection data of the detection device on the same day is temporarily stored in a preset detection database, and all detection data in the detection database is automatically saved in a preset historical database as historical production data at 0 o'clock every day, and all data in the detection database is deleted.

[0117] S205. Based on the historical production data, the prediction data of the production data in the analysis period is predicted, and a prediction data trend chart is generated.

[0118] S206. The analysis risk level is calculated by combining the prediction data trend chart and the actual data trend chart.

[0119] S207. The comprehensive risk level is calculated by combining the analysis risk level and the self-evaluation risk level.

[0120] Among them, the preset analysis risk weight value and the self-evaluation risk weight value are combined, that is, the analysis risk level * the analysis risk weight value + the self-evaluation risk level * the self-evaluation risk weight value = the comprehensive risk level.

[0121] The implementation principle of the embodiment is:

[0122] When analyzing and calculating the comprehensive risk level, the self-evaluation risk level input by the staff uploading the hidden danger reporting information needs to be considered, and the analysis risk level calculated by comparing the prediction data trend and the actual data trend also needs to be considered. The actual data trend can be directly analyzed by the obtained production data, and the prediction data trend needs to be analyzed by calling the historical production data of the appropriate historical time period from the historical database.

[0123] In one of the embodiments of the present embodiment, with reference to Figure 3 , step S203 includes the following steps:

[0124] S301. Based on the preset reference time period, the target production data detected by the detection device is obtained.

[0125] Among them, any time in the reference time period is earlier than any time in the analysis time period, and the historical production data of the corresponding time period of the previous day in the preset historical database is called as the target production data based on the preset reference time period.

[0126] S302. According to all target production data in the reference time period, it is judged whether the production data has periodicity, if the production data does not have periodicity, step S303 is executed; if the production data has periodicity, step S304 is executed.

[0127] Among them, based on the autocorrelation coefficient measurement, it can be judged whether the production data has periodicity according to all target production data in the reference time period.

[0128] S303. Take the reference time period as the history time period.

[0129] S304. Select a time period containing a complete cycle of production data in the reference time period as the history time period.

[0130] The implementation principle of the embodiment is:

[0131] In selecting the history time period, it is necessary to first determine whether the production data has periodicity according to the target production data in the reference time period. If the production data has periodicity, a complete cycle time period can be intercepted as the history time period. If the production data does not have periodicity, since any time in the reference time period is earlier than any time in the analysis time period, the reference time period can be directly taken as the history time period.

[0132] In one implementation manner of the embodiment, with reference to Figure 4 , step S205 includes the following steps:

[0133] S401. Determine whether the production data has periodicity. If the production data has periodicity, execute step S402; if the production data does not have periodicity, execute step S404.

[0134] S402. Based on the periodicity, intercept a target time period with the same periodicity as the analysis time period from the history time period.

[0135] The periodicity of the analysis time period is the specific position of the cycle time period in the current cycle.

[0136] S403. Take all the history production data in the target time period as prediction data, and generate a prediction data trend chart based on all the prediction data.

[0137] The prediction data trend chart is generated based on all the history production data and taking the target time period as the horizontal axis and the history production data value as the vertical axis.

[0138] S404. Predict the prediction data of the production data in the analysis time period based on the history production data by the exponential smoothing method, and generate a prediction data trend chart based on all the prediction data.

[0139] The prediction data trend chart is generated based on all the history production data and taking the analysis time period as the horizontal axis and the prediction data value as the vertical axis.

[0140] The implementation principle of the embodiment is:

[0141] Firstly, it is determined whether the production data has periodicity. If the production data has periodicity, the change trend of the production data can be directly predicted according to the periodic change rule. If the production data does not have periodicity, the production data trend chart is generated by predicting the production data through the exponential smoothing method.

[0142] In one of the embodiments of the present embodiment, with reference to Figure 5 , step S103 comprises the following steps:

[0143] S501. Mark a plurality of target prediction data in the prediction data trend chart based on a preset time interval, and mark a plurality of target actual data in the actual data trend chart corresponding to the time at which the plurality of target prediction data is located.

[0144] The definition domain of the curve function in the prediction data trend chart and the definition domain of the curve function in the actual data trend chart can be the same or different. The preset time interval is usually short, which can be 30 seconds, 1 minute, etc. For example, assuming that the preset time interval is 1 minute, the earliest time is taken as the marking starting point in the prediction data trend chart. If the earliest time is 8:00, the prediction data at 8:00, 8:01, 8:02, etc. is marked as target prediction data. Correspondingly, the actual data at 8:00, 8:01, 8:02, etc. in the actual data trend chart is also marked as target actual data.

[0145] S502. Determine whether there is a target time at which the target prediction data is the same as the target actual data. If there is no target time, step S503 is performed. If there is a target time, step S504 is performed.

[0146] The time at which the target prediction data is not the same as the target actual data is a non-target time.

[0147] S503. The analysis risk level is calculated to be a first analysis risk level.

[0148] The first analysis risk level is the highest analysis risk level.

[0149] S504. The number of target times is counted.

[0150] S505. Determine whether the number of times exceeds a preset number threshold. If the number of times does not exceed the number threshold, step S506 is performed. If the number of times exceeds the number threshold, step S510 is performed.

[0151] S506. Calculate the average data difference between the target prediction data and the target actual data at all non-target times.

[0152] Wherein, first, the data difference value of each non-target moment target prediction data and target actual data is calculated respectively, then all non-target moment data difference values are added to obtain the total difference value, and finally the total difference value is divided by the number of non-target moments to obtain the average data difference value.

[0153] S507. Determine whether the average data difference value exceeds the preset difference threshold value, if the average data difference value exceeds the difference threshold value, execute step S508; if the average data difference value does not exceed the difference threshold value, execute step S509.

[0154] S508. The analysis risk level is calculated to be the second analysis risk level.

[0155] Wherein, the second analysis risk level is less than the first analysis risk level.

[0156] S509. The analysis risk level is calculated to be the third analysis risk level.

[0157] Wherein, the third analysis risk level is less than the second analysis risk level.

[0158] S510. The analysis risk level is calculated to be the fourth analysis risk level.

[0159] Wherein, the fourth analysis risk level is less than the third analysis risk level, and the fourth analysis risk level is the lowest analysis risk level.

[0160] The implementation principle of the embodiment is:

[0161] The different risk levels are calculated by combining the prediction data trend chart and the actual data trend chart for multi-layer judgment, the target data at the same moment is marked in the prediction data trend chart and the actual data trend chart based on the same time interval, if the target data at each same moment in the two trend charts is not the same, it means that the prediction data and the actual data are greatly different, so the highest first analysis risk level is calculated; if there is the same data at the same moment, the number of moments at the same moment is further judged, if the number of moments exceeds the number threshold, it means that the prediction data and the actual data are very small, so the lowest fourth analysis risk level is calculated, and the second analysis risk level and the third analysis risk level in the middle can calculate the average data difference value of each same moment, and are distinguished by the preset difference threshold value.

[0162] In one of the embodiments of the embodiment, with reference to Figure 6 , step S105 includes the following steps:

[0163] S601. Select the highest emergency handling authority based on the comprehensive risk level.

[0164] The level permission corresponding table is preset, in which one comprehensive risk level can correspond to a multi-level emergency treatment permission, or multiple comprehensive risk levels can correspond to a first-level emergency treatment permission. In this application, the corresponding emergency treatment permission is selected from the level permission corresponding table according to the comprehensive risk level as the highest emergency treatment permission.

[0165] S602. Identifying the target management department reported by the hidden danger reporting information.

[0166] The hidden danger reporting information further contains the management department to which the corresponding detection device belongs, and the management department to which the hidden danger reporting information belongs is identified as the target management department through information recognition.

[0167] S603. Retrieving terminal information of target mobile terminals held by all target personnel from a preset personnel database.

[0168] The personnel database is pre-input with personnel information of all personnel in the enterprise production workshop, all personnel hold mobile terminals, and the personnel information includes personnel basic information, personnel belonging department, terminal information of the mobile terminal held by the personnel, etc. In this application, the target personnel are personnel belonging to the target management department and having a permission lower than or equal to the highest emergency treatment permission, so the terminal information of the target personnel can be filtered and retrieved from the personnel database according to the management department and the permission.

[0169] S604. Obtaining terminal permissions of all target mobile terminals and the subordinate relationship between all target mobile terminals based on the terminal information.

[0170] The terminal information includes the terminal permission of the mobile terminal, the terminal permission can reflect the personnel permission of the personnel to which the terminal belongs, the higher the terminal permission, the higher the personnel permission of the personnel, and the higher the personnel position, so by comparing the terminal permission of the target mobile terminal, the subordinate relationship between all target mobile terminals can be analyzed, the target mobile terminal with low terminal permission will belong to the target mobile terminal with high terminal permission, and the subordinate relationship is not one-to-one, but multiple low permissions can belong to multiple high permissions.

[0171] S605. Constructing a risk emergency treatment process containing all target mobile terminals in combination with the terminal permission and the subordinate relationship.

[0172] The same number of process nodes are created according to the number of permission levels of all terminal permissions, all corresponding target mobile terminals are arranged in the process nodes in order from high to low according to the permission level, and the connection of each target mobile terminal is completed according to the subordinate relationship, so as to construct the risk emergency treatment process.

[0173] The implementation principle of this embodiment is:

[0174] First, the highest emergency handling authority is determined according to the calculated comprehensive risk level, then the terminal information of all persons lower than or equal to the highest emergency handling authority in all target management departments responsible for handling the hidden danger is called, and then the terminal authority and the subordinate relationship between the terminals are further obtained, and finally the risk emergency handling process is constructed in combination with the terminal authority and the subordinate relationship.

[0175] In one of the embodiments of the present embodiment, with reference to Figure 7 , step S106 includes the following steps:

[0176] S701. Construct the communication topology between all target mobile terminals based on the risk emergency handling process.

[0177] Among them, the communication topology between all target mobile terminals is constructed according to the connection relationship between all target mobile terminals in the risk emergency handling process, and the topology logic unique to the communication topology is generated in combination with the subordinate relationship between the target mobile terminals.

[0178] S702. Configure the communication interface of all target mobile terminals based on the communication topology.

[0179] S703. After configuring all communication interfaces, detect whether the communication between all target mobile terminals conforms to the topology logic of the communication topology. If the communication between all target mobile terminals conforms to the topology logic, step S704 is executed; if there is an abnormal target mobile terminal that does not conform to the topology logic, step S705 is executed.

[0180] Among them, any two target mobile terminals can be selected among all target mobile terminals, one of the two target mobile terminals is selected as a sending terminal according to the communication direction of the topology logic, the sending terminal sends preset detection information to the other target mobile terminal, and detects whether the other target mobile terminal receives the detection information. If it is received, it means that the selected two target mobile terminals conform to the topology logic, and all target mobile terminals are traversed to detect the topology logic.

[0181] S704. Trigger the starting node in the risk emergency handling process to handle the hidden danger report information.

[0182] Among them, since the arrangement of the process nodes is arranged in order from high to low terminal authority, triggering the starting node in the risk emergency handling process is to send processing information to the target mobile terminal with the highest terminal authority, so that the highest position person in charge of all persons responsible for handling the hidden danger report information starts to handle the hidden danger report information. The information is assigned and processed level by level.

[0183] S705. Adjust the communication interface of all abnormal target mobile terminals according to the topology logic.

[0184] S706. Trigger the starting node in the risk emergency handling process to handle the hidden danger report information.

[0185] The detailed description in step S704 is referred to.

[0186] The implementation principle of the embodiment is:

[0187] According to the processing nodes in the risk emergency handling process and the subordinate relationship contained in the process, the communication topology of all target mobile terminals is constructed, and after configuring the communication interfaces of all target mobile terminals based on the communication topology, since the communication topology has a unique topology logic, it can be detected whether the configuration of all communication interfaces is correct according to the topology logic. If there is an abnormal target mobile terminal that violates the topology logic, the communication interface of the abnormal target mobile terminal needs to be adjusted according to the topology logic. After ensuring that all communication interfaces are correctly configured, the starting node in the risk emergency handling process is triggered to start the processing work of the hidden danger report information.

[0188] In one implementation manner of the embodiment, referring to Figure 8 , step S106 further includes the following steps:

[0189] S801. Save the time when the starting node is triggered as a trigger time.

[0190] S802. Obtain a system current time.

[0191] The obtained system current time is a real-time world time connected to the Internet.

[0192] S803. Real-time calculate a processing time for handling the hidden danger report information in combination with the trigger time and the system current time.

[0193] The processing time is obtained by subtracting the trigger time from the system current time. Since the system current time is changing in real time, the processing time needs to be calculated in real time.

[0194] S804. Judge whether the processing time exceeds a preset processing time threshold. If the processing time exceeds the processing time threshold, step S805 is executed.

[0195] If the judgment result is that the processing time does not exceed the processing time threshold, no other operation is performed.

[0196] S805. Obtain a permission level N of the highest emergency handling authority.

[0197] The permission level can reflect the position of the corresponding personnel. The higher the permission level is, the higher the position of the personnel is.

[0198] S806. Retrieve a target communication interface of a mobile terminal of the target leader personnel of the authority level N+1 from the personnel database, and set the processing authority of the authority level N+1 as the highest emergency processing authority.

[0199] The target communication interface is obtained, so that the current execution subject establishes a communication connection with the mobile terminal corresponding to the target communication interface.

[0200] S807. Send risk processing information to the mobile terminal of the target leader personnel according to the target communication interface.

[0201] The risk processing information includes hidden danger reporting information, processing time, and basic information of the personnel uploading the hidden danger reporting information.

[0202] S808. Reset the trigger time to the current system time, and repeat steps S803 and S804.

[0203] The implementation principle of the embodiment is as follows:

[0204] The processing time of the hidden danger reporting information is determined by the preset processing time threshold. When the processing time exceeds the processing time threshold, the target leader personnel of a higher authority level than the highest emergency processing authority needs to be informed, so that the target leader personnel joins the processing flow and supervises the processing speed of the hidden danger reporting information. Meanwhile, after the target leader personnel joins, the trigger time is reset to the current system time, and the processing time is restarted. If the processing time exceeds the processing time threshold again, the target leader personnel of a higher authority level is informed again, so that the upper-level supervision mechanism accelerates the progress of the risk emergency processing flow.

[0205] The embodiment of the application further discloses an enterprise safety production management system, which comprises a memory, a processor, and a program stored in the memory and capable of being executed on the processor. Figures 1 to 8 The program can be loaded and executed by the processor to implement the enterprise safety production management method shown in the embodiment.

[0206] The implementation principle of the embodiment is as follows:

[0207] Through the calling of the program, the hidden danger reporting information targeted at the detection device can be acquired. After the hidden danger reporting information of the detection device is acquired, the comprehensive risk level of the detection device can be calculated by comprehensively analyzing the production data of the detection device and the acquired hidden danger reporting information. Then, the comprehensive risk level is classified through the preset two level thresholds. The low-risk hidden danger exceeding the second level threshold and not exceeding the first level threshold is processed for early warning to remind the safety person in charge of the detection device to pay attention to the corresponding detection device. For the high-risk hidden danger higher than the first level threshold, a risk emergency processing flow can be constructed and started according to the specific comprehensive risk level to process the hidden danger reporting information in time. The hidden danger risks of the hidden danger reporting information are classified and different processors are assigned to process, which has better processing timeliness compared with unified reporting and processing of the hidden danger.

[0208] The embodiment of the application further discloses a computer readable storage medium, which stores a computer program. The computer program is executed by a processor to enable the processor to implement an enterprise safety production management method as shown in Figures 1 to 8 The embodiment of the application further discloses a computer readable storage medium, which stores a computer program. The computer program is executed by a processor to enable the processor to implement an enterprise safety production management method as shown in

[0209] The implementation principle of the embodiment is as follows:

[0210] Through the calling of the program, the hidden danger reporting information targeted at the detection device can be acquired. After the hidden danger reporting information of the detection device is acquired, the comprehensive risk level of the detection device can be calculated by comprehensively analyzing the production data of the detection device and the acquired hidden danger reporting information. Then, the comprehensive risk level is classified through the preset two level thresholds. The low-risk hidden danger exceeding the second level threshold and not exceeding the first level threshold is processed for early warning to remind the safety person in charge of the detection device to pay attention to the corresponding detection device. For the high-risk hidden danger higher than the first level threshold, a risk emergency processing flow can be constructed and started according to the specific comprehensive risk level to process the hidden danger reporting information in time. The hidden danger risks of the hidden danger reporting information are classified and different processors are assigned to process, which has better processing timeliness compared with unified reporting and processing of the hidden danger.

[0211] The above are preferred embodiments of the application, and do not limit the protection scope of the application. Therefore, equivalent changes made on the basis of the structure, shape, principle of the application should be covered by the protection scope of the application.

Claims

1. A method for managing safety in production in an enterprise, characterized in that, The method comprises the following steps: detecting production data of an enterprise production workshop through a detection device arranged in the enterprise production workshop; obtaining hidden danger reporting information of the detection device; calculating a comprehensive risk level of the detection device in combination with the production data and the hidden danger reporting information; judging whether the comprehensive risk level exceeds a preset first level threshold; if the comprehensive risk level exceeds the first level threshold, constructing a risk emergency handling process based on the comprehensive risk level; starting the risk emergency handling process to handle the hidden danger reporting information; if the comprehensive risk level does not exceed the first level threshold, judging whether the comprehensive risk level exceeds a preset second level threshold, the second level threshold being lower than the first level threshold; if the comprehensive risk level exceeds the second level threshold, generating an alarm information and sending the alarm information to a mobile terminal held by a safety person in charge of the detection device, so that the safety person in charge handles the hidden danger reporting information; wherein the hidden danger reporting information is uploaded by a staff of the enterprise production workshop, the hidden danger reporting information comprises a self-evaluation risk level input by the staff, and the comprehensive risk level of the detection device is calculated in combination with the production data and the hidden danger reporting information, comprising the following steps: generating an analysis time period based on an acquisition time of the hidden danger reporting information; generating an actual data trend graph according to the production data in the analysis time period; selecting a historical time period based on the analysis time period, any moment in the historical time period being earlier than any moment in the analysis time period; calling historical production data of the detection device in the historical time period from a preset historical database; predicting prediction data of the production data in the analysis time period based on the historical production data, and generating a prediction data trend graph; calculating an analysis risk level in combination with the prediction data trend graph and the actual data trend graph; calculating a comprehensive risk level in combination with the analysis risk level and the self-evaluation risk level.

2. The enterprise safety production management method of claim 1, wherein, The step of selecting a historical time period based on the analysis time period comprises the following steps: obtaining target production data of the detection device based on a preset reference time period, any moment in the reference time period being earlier than any moment in the analysis time period; analyzing and judging whether the production data has periodicity according to all the target production data in the reference time period; if the production data does not have the periodicity, taking the reference time period as the historical time period; if the production data has the periodicity, selecting a time period containing a complete cycle of the production data in the reference time period as the historical time period.

3. The enterprise safety management method of claim 2, wherein, The step of predicting prediction data of the production data in the analysis time period based on the historical production data, and generating a prediction data trend graph comprises the following steps: judging whether the production data has the periodicity; if the production data has the periodicity, intercepting a target time period having the same periodicity as the analysis time period from the historical time period based on the periodicity. all the historical production data in the target time period as prediction data, and generating a prediction data trend chart based on all the prediction data; if the production data does not have the periodicity, predicting the production data in the analysis time period by an exponential smoothing method and based on the historical production data, and generating a prediction data trend chart based on all the prediction data.

4. The enterprise safety management method of claim 1, wherein, The calculating the analysis risk level by combining the prediction data trend chart and the actual data trend chart comprises the following steps: labeling a plurality of target prediction data in the prediction data trend chart based on a preset time interval, and labeling a plurality of target actual data in the actual data trend chart corresponding to the time at which the plurality of target prediction data is located; determining whether there is a target time at which the target prediction data is the same as the target actual data, and a non-target time at which the target prediction data is not the same as the target actual data; if there is no target time, the analysis risk level is calculated to be a first analysis risk level; if there is a target time, the number of target times is counted; determining whether the number of times exceeds a preset number threshold; if the number of times does not exceed the number threshold, the average data difference between the target prediction data and the target actual data at all non-target times is calculated; determining whether the average data difference exceeds a preset difference threshold; if the average data difference exceeds the difference threshold, the analysis risk level is calculated to be a second analysis risk level, and the second analysis risk level is less than the first analysis risk level; if the average data difference does not exceed the difference threshold, the analysis risk level is calculated to be a third analysis risk level, and the third analysis risk level is less than the second analysis risk level; if the number of times exceeds the number threshold, the analysis risk level is calculated to be a fourth analysis risk level, and the fourth analysis risk level is less than the third analysis risk level.

5. The enterprise safety management method of claim 1, wherein, The constructing a risk emergency handling process based on the comprehensive risk level comprises the following steps: selecting the highest emergency handling authority based on the comprehensive risk level; identifying the target management department reported by the hidden danger reporting information; calling terminal information of all target mobile terminals of target personnel from a preset personnel database, the target personnel being personnel belonging to the target management department and having an authority lower than or equal to the highest emergency handling authority; obtaining terminal authorities of all the target mobile terminals and a subordination relationship between all the target mobile terminals based on the terminal information; constructing a risk emergency handling process including all the target mobile terminals by combining the terminal authorities and the subordination relationship.

6. The enterprise safety management method of claim 5, wherein, The starting the risk emergency handling process to handle the hidden danger reporting information comprises the following steps: constructing a communication topology between all the target mobile terminals based on the risk emergency handling process; configuring communication interfaces of all the target mobile terminals based on the communication topology; After all the communication interfaces are configured, it is detected whether the communication among all the target mobile terminals conforms to the topology logic of the communication topology; If the communication among all the target mobile terminals conforms to the topology logic, the starting node in the risk emergency handling process is triggered to handle the hidden danger report information; If there is an abnormal target mobile terminal that does not conform to the topology logic, the communication interfaces of all the abnormal target mobile terminals are adjusted according to the topology logic; The starting node in the risk emergency handling process is triggered to handle the hidden danger report information.

7. The enterprise safety management method of claim 6, wherein, After the risk emergency handling process is started to handle the hidden danger report information, the following steps are further included: The time when the starting node is triggered is saved as a trigger time; The current system time is obtained; The processing time for handling the hidden danger report information is calculated in real time by combining the trigger time and the current system time; It is judged whether the processing time exceeds a preset processing time threshold; If the processing time exceeds the processing time threshold, the authority level N of the highest emergency handling authority is obtained; The target communication interface of the target leader personnel holding a mobile terminal with an authority level N+1 is called from the personnel database, and the processing authority with the authority level N+1 is taken as the highest emergency handling authority; Risk handling information is sent to the target leader personnel holding the mobile terminal according to the target communication interface; The trigger time is reset to the current system time, and the above real-time calculation step is repeated.

8. An enterprise safety production management system, characterized in that, The computer readable storage medium stores a computer program, and the computer program is executed by the processor to enable the processor to implement the enterprise safety production management method according to any one of claims 1 to 7.

9. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program, and the computer program is executed by the processor to enable the processor to implement the enterprise safety production management method according to any one of claims 1 to 7.

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