Equipment startup and shutdown intelligent monitoring system and method based on data analysis

Abstract

The invention discloses an equipment startup and shutdown intelligent monitoring system and method based on data analysis, and relates to the technical field of equipment monitoring. Equipment data of normal startup and shutdown of equipment in historical records are collected respectively, equipment data influencing startup and shutdown are extracted as preparation conditions, and position data of each preparation condition are collected; respectively constructing a pre-startup state and a pre-shutdown state of the equipment; screening the collected equipment data to obtain safety data of startup and shutdown of the equipment; constructing a start-stop process curve of all safety data, and calculating according to the start-stop process curve to obtain a start-stop safety time threshold value and a stop-start safety time threshold value of the equipment; when the equipment needs to be started and stopped, whether the real-time position data of the equipment meets the pre-starting state and the pre-stopping state or not is judged, and the real-time starting-stopping interval time and the stopping-starting interval time are judged through the starting-stopping safety time threshold value and the stopping-starting safety time threshold value.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment monitoring, and in particular to an intelligent monitoring system and method for equipment startup and shutdown based on data analysis. Background Art

[0002] With the continuous development of industrial production and the increasing complexity of equipment, enterprises have higher and higher requirements for equipment reliability, availability and maintenance management. The start and stop status of equipment is the basic information of equipment operation. Accurately grasping the start and stop time, frequency and other data of equipment is of great significance for evaluating the use efficiency of equipment, formulating reasonable maintenance plans, optimizing production processes and reducing operating costs. For example, in the manufacturing industry, the continuous operation of the production line is crucial to improving production efficiency, while the unexpected shutdown of equipment may lead to production interruptions and cause huge economic losses. Therefore, it is necessary to monitor the start and stop of equipment to reduce unplanned downtime; with the development of electronic technology, people began to use the electrical signals of equipment to monitor the start and stop status of equipment. For example, the start and stop of equipment can be judged by monitoring the changes in the current, voltage and other signals of the equipment. Compared with manual monitoring, this method improves the accuracy and real-time performance of monitoring. Moreover, the current monitoring of equipment startup and shutdown only monitors the status of the startup and shutdown equipment. However, the equipment may frequently start and stop during operation. When the equipment starts and stops frequently, the mechanical parts of the equipment are repeatedly subjected to force changes, which leads to greatly accelerated wear speed, shortening their normal service life, increasing the frequency of maintenance and replacement of parts, and further significantly increasing the frequency of equipment failures. Summary of the invention

[0003] The object of the present invention is to provide a data analysis-based intelligent monitoring system and method for equipment startup and shutdown, so as to solve the problems raised in the prior art.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] A method for intelligent monitoring of equipment startup and shutdown based on data analysis, the method comprising the following steps:

[0006] S100, respectively collecting equipment data of normal start and stop of equipment in historical records, analyzing the collected equipment data, extracting equipment data affecting start and stop as preparation conditions, collecting location data of each preparation condition, and respectively constructing a pre-start state and a pre-stop state of the equipment according to the type and location data of the preparation conditions for normal start and stop of the equipment;

[0007] Furthermore, the specific steps of constructing the pre-start state and pre-stop state of the equipment respectively according to the type of preparation conditions and position data for normal start and stop of the equipment are as follows:

[0008] S101, respectively collect the equipment data of normal start and stop of the equipment in the historical records, and correspondingly collect the equipment data of abnormal start and stop of the equipment in the historical records, calculate the difference of each equipment data collected in the two cases, and use the difference to determine the equipment data that affects the start and stop of the equipment, the formula is:

[0009]

[0010] In the formula, Sz i Indicates the collected equipment data of normal startup and shutdown of the equipment, Sg i Indicates the equipment data collected when abnormalities occur in the equipment startup and shutdown, n indicates the number of types of equipment data collected for the equipment startup and shutdown, and i is from 1 to n; the formula is used to judge the difference between two situations of each type of equipment data, and the equipment data with a difference greater than the average value is the equipment data that affects the startup and shutdown of the equipment, and the equipment data that affects the startup and shutdown is defined as the preparation condition;

[0011] S102, collect the position data of each preparation condition when the equipment is normally turned on in the historical records as {Kz 1 , Kz 2 , Kz 3 , ..., Kz m}, Kz 1 , Kz 2 , Kz 3 , ..., Kz m represents the position data of the 1st, 2nd, 3rd, ..., mth preparation conditions when the device is normally powered on in the collected historical records, where m is a positive integer; the pre-power-on state of the device is constructed using the position data of each preparation condition when the device is normally powered on, and the position data of each preparation condition when the device is normally shut down in the collected historical records is {Kt 1 , Kt 2 , Kt 3 , ..., Kt p}, Kt 1 , Kt 2 , Kt 3 , ..., Kt p It represents the position data of the 1st, 2nd, 3rd, ..., pth preparation conditions when the equipment is shut down normally in the collected historical records, where p is a positive integer; the pre-shutdown state of the equipment is constructed using the collected position data of each preparation condition when the equipment is shut down normally.

[0012] By using the equipment data of normal startup and shutdown of the equipment in the historical records to obtain the preparation conditions, and collecting the location data of the preparation conditions to build the pre-startup state and pre-shutdown state, the system can be preheated in advance. By pre-starting, the key components can be gradually heated up to the appropriate working temperature, which can effectively avoid damage to the equipment caused by sudden temperature changes, and at the same time ensure that each component can quickly reach the optimal performance state when it is officially put into operation; the pre-shutdown state can start the equipment's cooling program, allowing the fan and other cooling components to continue to operate for a period of time, so that the temperature inside the equipment gradually drops to a safe range.

[0013] S200, collecting equipment data that changes during the equipment startup and shutdown process in historical records, calculating the change range of the equipment data during the startup and shutdown process, and filtering the collected equipment data to obtain safety data for the equipment startup and shutdown;

[0014] Furthermore, the specific steps of screening the collected equipment data to obtain the safety data of equipment startup and shutdown are as follows:

[0015] S201, collect the equipment data that changes during the equipment startup and shutdown process in the historical records, and collect the data value of the equipment data before the equipment is started up as {Sk 1 ,Sk 2 ,Sk 3 , ..., Sk j}, Sk 1 ,Sk 2 ,Sk 3 , ..., Sk j Indicates the data value of the 1st, 2nd, 3rd, ..., jth device data collected before the device is turned on, j is a positive integer; the data value of the collected device data after the device is turned on is {Sk' 1 , Sk' 2 , Sk' 3 , ..., Sk' j}, Sk' 1 , Sk' 2 , Sk' 3 , ..., Sk' j Indicates the values ​​of the 1st, 2nd, 3rd, ..., jth type of equipment data collected after startup; the data values ​​of the same collected equipment data before and after the equipment is shut down;

[0016] S202, using the data values ​​of the collected equipment data before and after the equipment is turned on to calculate the change range, the formula is: Sc e =|Sk e -Sk' e |, in the formula, Sc e Indicates the calculated change in the value of the device data before and after the device is turned on, Sk eIndicates the data value of each device before the device is powered on, Sk' e Indicates the data value of each device data after the device is powered on;

[0017] Collect the data values ​​of the equipment data before and after the equipment is turned on in h historical records, calculate the standard deviation of the change range of each equipment data in the h records, and use the standard deviation to filter the equipment data. The formula is:

[0018] Stk e ≤Stk p →A;

[0019] In the formula, Stk e Indicates the standard deviation of the data variation of each device, Stk p represents the average value of the standard deviation of the change amplitude of j types of equipment data, and e belongs to 1 to j; when the standard deviation of the change amplitude of equipment data is less than the average value of the standard deviation of the change amplitude of j types of equipment data, the corresponding equipment data is input into set A, and the j types of equipment data are filtered by the formula to obtain the filtered set A; the data values ​​before and after the equipment data is shut down are calculated by the same method, and set B is obtained after filtering;

[0020] S203, perform a secondary judgment on the device data in sets A and B, the formula is:

[0021]

[0022] In the formula, Sk e Indicates the data value of each device before the device is turned on, St' e Indicates the data value of each device after the device is shut down, Sk' e Indicates the data value of each device after the device is turned on, St e Represents the data value of each device data before the device is shut down; when the device data in sets A and B satisfy that the data value before startup is equal to the data value after shutdown, and the data value after startup is equal to the data value before shutdown, it is input into set C, and the filtered set C is used as the safety data for equipment startup and shutdown.

[0023] S300, extracting the safety data values ​​of the equipment during the process from startup to shutdown, constructing a startup and shutdown process curve of all safety data, and calculating the startup-shutdown safety time threshold and shutdown-startup safety time threshold of the equipment according to the startup and shutdown process curve;

[0024] Further, the specific steps of calculating the start-stop safety time threshold and the stop-start safety time threshold of the equipment according to the start-stop process curve are:

[0025] S301, assuming that the safety data of the screened equipment is {Sa1 , Sa 2 , Sa 3 、...、Sa d}, Sa 1 , Sa 2 , Sa 3 、...、Sa d It means that the first, second, third, ..., d kinds of safety data of the equipment are screened, and d is a positive integer; each safety data value of the equipment in the process of starting up and shutting down is extracted, and each safety data value is used as a variable, and the equipment start-up and shutdown process time is used as an independent variable to draw a curve chart to obtain the start-up and shutdown change curve of each safety data; each start-up and shutdown change curve is observed, and the interval in which all safety data in the start-up and shutdown change curve do not change to a horizontal line is extracted, and all the extracted intervals are compared, and the interval with the largest safety data value and the longest duration is selected, and the selected interval is taken as the working time period of the equipment (Tg start , Tg over ), Tg start Indicates the start node of the equipment working time period, Tg over Indicates the end node of the equipment working time period; Tg in the start-stop change curve start The interval before the node is used as the device startup time period, and Tg over The interval after the node is used as the equipment downtime period;

[0026] S302, assuming that the initial time of the curve in the startup time period of the device is T0, the time of the start node in the working time period of the device is T1, the time of the end node in the working time period of the device is T2, and the time of the last node in the startup and shutdown change curve is T3; the startup and shutdown change curves of the d types of safety data of the device are divided into nodes;

[0027] The start-stop safety time threshold and stop-start safety time threshold of the equipment are calculated, and the formula is:

[0028] Tky=max(T1 r -T0 r )

[0029] Tgy=max(T3 r -T2 r );

[0030] In the formula, Tky represents the start-stop safety time threshold of the equipment, Tgy represents the stop-start safety time threshold of the equipment, and r is from 1 to d.

[0031] Calculate the start-stop safety time threshold and stop-start safety time threshold of the equipment. When the equipment needs to be shut down or restarted, the safe startup and shutdown of the equipment can be guaranteed by judging the interval time, avoiding abnormalities and failures of the equipment during startup and shutdown, and improving the safety of equipment operation.

[0032] S400, when the device needs to be started or stopped, collect the real-time position data of each preparation condition of the device, determine whether the real-time position data of the device meets the pre-start state and the pre-stop state, terminate the operation if it does not meet the requirements, calculate the position adjustment value of the device, and use the position adjustment value to adjust the device to meet the pre-start state and the pre-stop state;

[0033] Furthermore, the specific steps of adjusting the equipment using the position adjustment value to meet the pre-start state and the pre-stop state are as follows:

[0034] S401. When the device needs to be turned on, the real-time position data of each preparation condition of the device is collected as {Ks 1 , Ks 2 , Ks 3 , ..., Ks m}, Ks 1 , Ks 2 , Ks 3 , ..., Ks m Indicates collecting the real-time position data of the 1st, 2nd, 3rd, ..., mth preparation conditions of the equipment. When the equipment needs to be shut down, collect the real-time position data of p preparation conditions; use the pre-start state and pre-shutdown state to judge the collected real-time position data of each preparation condition of the equipment. When {Ks 1 , Ks 2 , Ks 3 , ..., Ks m}={Kz 1 , Kz 2 , Kz 3 , ..., Kz m}, it is determined that the device meets the pre-startup status and can be started; when {Ks 1 , Ks 2 , Ks 3 , ..., Ks m}≠{Kz 1 , Kz 2 , Kz 3 , ..., Kz m}, it is determined that the device does not meet the pre-startup state and startup is prohibited; the same method is used to determine whether the device meets the pre-shutdown state;

[0035] S402: When it is determined that the real-time position data of the equipment preparation condition does not meet the pre-startup state, the position data adjustment value of each preparation condition is calculated, and the formula is:

[0036] D={Ks 1 , Ks 2 , Ks 3 , ..., Ks m}-{Kz 1 , Kz 2 , Kz 3 , ..., Kz m};

[0037] In the formula, D represents the calculated position data adjustment value set of all preparation conditions before the equipment is started. The same method is used to calculate the position data adjustment value set of all preparation conditions before the equipment is shut down, and the adjustment value is used to adjust the equipment's preparation conditions to the pre-startup state and the pre-shutdown state.

[0038] S500. When the equipment meets the pre-start-up state and the pre-stop state, the start-stop and stop-start interval time of the equipment is collected in real time, and the real-time start-stop and stop-start interval time is judged using the start-stop safety time threshold and the stop-start safety time threshold. When the threshold is not met, an early warning is issued and the equipment start-stop operation is stopped.

[0039] Furthermore, when the threshold is not met, the specific steps of issuing an early warning and stopping the equipment startup and shutdown operations are as follows:

[0040] S501. When the device meets the pre-startup state, the device is started up, and the working time is collected in real time after the device is started up. When the user needs to stop the device, the real-time start-stop interval of the device is determined to be Tks. The real-time start-stop interval is judged by using the start-stop safety time threshold. When Tks≥Tky, it is judged that the shutdown operation can be performed. When Tks<Tky, it is judged that there is a fault risk and the shutdown operation is prohibited;

[0041] S502. When the equipment meets the pre-shutdown state, the equipment is shut down. After the equipment is shut down, the working time is collected in real time. When the user needs to start the equipment again, the real-time stop-start interval of the equipment is determined to be Tgs. The real-time stop-start interval is judged using the stop-start safety time threshold. When Tgs≥Tgy, it is determined that the shutdown operation can be performed. When Tgs<Tgy, it is determined that there is a risk of failure and the shutdown operation is prohibited.

[0042] The time interval between the start and stop of the equipment is judged to prevent equipment failure caused by frequent start and stop, and to increase the service life of the equipment. The electronic components in the equipment, such as chips, capacitors, resistors, etc. on the circuit board, are sensitive to the stability of current and voltage. Frequent start and stop may cause unstable power supply. For example, a large surge current will be generated at the moment of start-up, which may exceed the rated tolerance range of the electronic components and cause damage to them. By controlling the start and stop interval, it can ensure that the electronic components work in a relatively stable power supply environment, reduce the risk of damage caused by power supply fluctuations, help to extend the service life of electronic components, and thus extend the service life of the entire equipment. The equipment will generate heat during operation, and its internal heat dissipation system will try to dissipate the heat to maintain a suitable operating temperature. When the equipment is frequently started and stopped, each start-up needs to be reheated to the appropriate operating temperature, and each shutdown will cause the temperature to drop rapidly. Such frequent temperature fluctuations are not conducive to the stable performance of the equipment. By preventing frequent start and stop, the equipment can continue to work in a relatively stable temperature environment, which is conducive to maintaining the stability of its performance.

[0043] An intelligent monitoring system for equipment startup and shutdown based on data analysis, the intelligent monitoring system for equipment startup and shutdown includes a data collection module, a pre-state determination module, a safety data search module, a threshold calculation module, a state judgment module and a time judgment module;

[0044] The data collection module is used to collect the equipment data of equipment start and stop in the historical records;

[0045] The pre-state determination module is used to analyze the equipment data of equipment start and stop in the historical records to obtain the preparation conditions, and use the position data of the preparation conditions when the equipment is started and stopped to respectively construct the pre-start state and the pre-stop state;

[0046] The safety data search module is used to analyze the equipment data that changes during the equipment startup and shutdown process in the historical records to obtain the safety data that affects the equipment startup and shutdown;

[0047] The threshold calculation module is used to calculate the start-stop safety time threshold and the stop-start safety time threshold of the equipment by drawing a curve chart using the safety data value when the equipment is started and stopped;

[0048] The state judgment module is used to judge whether the equipment meets the pre-start-stop state based on the real-time position data of the preparation data when the equipment is started or stopped;

[0049] The time judgment module is used to judge whether the corresponding interval time meets the threshold when the device needs to be started-stopped or stopped-started, and prohibit the operation when it does not meet the threshold.

[0050] The pre-state determination module includes a pre-start state unit and a pre-stop state unit;

[0051] The pre-startup status unit is used to collect the position data of the preparation conditions when the device is turned on in the historical records to obtain the pre-startup status of the device;

[0052] The pre-shutdown state is used to collect the position data of the preparation conditions when the equipment is shut down in the historical records to obtain the pre-shutdown state of the equipment.

[0053] The threshold calculation module includes a start-stop safety time threshold unit and a stop-start safety time threshold unit;

[0054] The start-stop safety time threshold unit is used to determine the start-up time period of the equipment by drawing a curve chart using the safety data value when the equipment is started and stopped, and calculate the start-stop safety time threshold;

[0055] The stop-start safety time threshold unit is used to use the safety data value when the equipment is started and stopped, determine the downtime period of the equipment by drawing a curve chart, and calculate the stop-start safety time threshold.

[0056] The time judgment module includes a start-stop time judgment unit and a stop-start time judgment unit;

[0057] The start-stop time judgment unit is used to collect the start-stop interval time of the equipment, use the start-stop safety time threshold to judge the start-stop interval time, and prohibit shutdown when it is not satisfied;

[0058] The stop-start time judgment unit is used to collect the stop-start interval time of the equipment, use the stop-start safety time threshold to judge the stop-start interval time, and prohibit starting when it is not met.

[0059] Compared with the prior art, the present invention has the following beneficial effects:

[0060] 1. The present invention uses the equipment data of normal startup and shutdown of the equipment in the historical records to obtain the preparation conditions, collects the position data of the preparation conditions to construct the pre-startup state and the pre-shutdown state, and can preheat the system in advance. By pre-starting, the key components are gradually heated to a suitable working temperature, which can effectively avoid damage to the equipment caused by sudden temperature changes, and ensure that each component can quickly reach the optimal performance state when it is officially in operation.

[0061] 2. The present invention determines the time interval between the start and shutdown of the equipment to prevent equipment failure caused by frequent startup and shutdown of the equipment, thereby increasing the service life of the equipment. By controlling the start and shutdown intervals, it can ensure that electronic components work in a relatively stable power supply environment, reducing the risk of damage caused by power supply fluctuations. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 This is a module distribution diagram of an intelligent monitoring system for equipment startup and shutdown based on data analysis of the present invention;

[0063] Figure 2 The present invention is a schematic diagram of the steps of a method for intelligent monitoring of equipment startup and shutdown based on data analysis. DETAILED DESCRIPTION

[0064] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0065] Example: Figure 1-Figure 2 As shown, the present invention provides a technical solution.

[0066] A method for intelligent monitoring of equipment startup and shutdown based on data analysis, the method comprising the following steps:

[0067] S100, respectively collecting equipment data of normal start and stop of equipment in historical records, analyzing the collected equipment data, extracting equipment data affecting start and stop as preparation conditions, collecting location data of each preparation condition, and respectively constructing a pre-start state and a pre-stop state of the equipment according to the type and location data of the preparation conditions for normal start and stop of the equipment;

[0068] The specific steps for constructing the pre-startup state and pre-shutdown state of the equipment according to the type of preparation conditions and location data for normal start-up and shutdown of the equipment are as follows:

[0069] S101, respectively collect the equipment data of normal equipment startup and shutdown in the historical records, and correspondingly collect the equipment data of abnormal equipment startup and shutdown in the historical records, calculate the difference of each equipment data collected in the two cases, and use the difference to determine the equipment data that affects the startup and shutdown of the equipment, the formula is:

[0070]

[0071] In the formula, Sz i Indicates the collected equipment data of normal startup and shutdown of the equipment, Sg i Indicates the equipment data collected when abnormalities occur in the equipment startup and shutdown, n indicates the number of types of equipment data collected for the equipment startup and shutdown, and i is from 1 to n; the formula is used to judge the difference between two situations of each type of equipment data, and the equipment data with a difference greater than the average value is the equipment data that affects the startup and shutdown of the equipment, and the equipment data that affects the startup and shutdown is defined as the preparation condition;

[0072] S102, collect the position data of each preparation condition when the equipment is normally turned on in the historical records as {Kz 1 , Kz 2 , Kz 3 , ..., Kz m}, Kz 1 , Kz 2 , Kz 3 , ..., Kz m represents the position data of the 1st, 2nd, 3rd, ..., mth preparation conditions when the device is normally powered on in the collected historical records, where m is a positive integer; the pre-power-on state of the device is constructed using the position data of each preparation condition when the device is normally powered on, and the position data of each preparation condition when the device is normally shut down in the collected historical records is {Kt 1 , Kt 2 , Kt 3 , ..., Kt p}, Kt 1 , Kt 2 , Kt 3 , ..., Kt p It represents the position data of the 1st, 2nd, 3rd, ..., pth preparation conditions when the equipment is shut down normally in the collected historical records, where p is a positive integer; the pre-shutdown state of the equipment is constructed using the collected position data of each preparation condition when the equipment is shut down normally.

[0073] By using the equipment data of normal startup and shutdown of the equipment in the historical records to obtain the preparation conditions, and collecting the location data of the preparation conditions to build the pre-startup state and pre-shutdown state, the system can be preheated in advance. By pre-starting, the key components can be gradually heated up to the appropriate working temperature, which can effectively avoid damage to the equipment caused by sudden temperature changes, and at the same time ensure that each component can quickly reach the optimal performance state when it is officially put into operation; the pre-shutdown state can start the equipment's cooling program, allowing the fan and other cooling components to continue to operate for a period of time, so that the temperature inside the equipment gradually drops to a safe range.

[0074] S200, collecting equipment data that changes during the equipment startup and shutdown process in historical records, calculating the change range of the equipment data during the startup and shutdown process, and filtering the collected equipment data to obtain safety data for the equipment startup and shutdown;

[0075] The specific steps for screening the collected equipment data to obtain the safety data of equipment startup and shutdown are as follows:

[0076] S201, collect the equipment data that changes during the equipment startup and shutdown process in the historical records, and collect the data value of the equipment data before the equipment is started up as {Sk 1 ,Sk 2 ,Sk 3 , ..., Sk j}, Sk 1 ,Sk 2 ,Sk 3 , ..., Sk j Indicates the data value of the 1st, 2nd, 3rd, ..., jth device data collected before the device is turned on, j is a positive integer; the data value of the collected device data after the device is turned on is {Sk' 1 , Sk' 2 , Sk' 3 , ..., Sk' j}, Sk' 1 , Sk' 2 , Sk' 3 , ..., Sk' j Indicates the values ​​of the 1st, 2nd, 3rd, ..., jth type of equipment data collected after startup; the data values ​​of the same collected equipment data before and after the equipment is shut down;

[0077] S202, using the data values ​​of the collected equipment data before and after the equipment is turned on to calculate the change range, the formula is: Sc e =|Sk e -Sk' e |, in the formula, Sc e Indicates the calculated change in the value of the device data before and after the device is turned on, Sk e Indicates the data value of each device before the device is powered on, Sk' e Indicates the data value of each device data after the device is powered on;

[0078] Collect the data values ​​of the equipment data before and after the equipment is turned on in h historical records, calculate the standard deviation of the change range of each equipment data in the h records, and use the standard deviation to filter the equipment data. The formula is:

[0079] Stk e ≤Stk p →A;

[0080] In the formula, Stk e Indicates the standard deviation of the data variation of each device, Stk p represents the average value of the standard deviation of the change amplitude of j types of equipment data, and e belongs to 1 to j; when the standard deviation of the change amplitude of equipment data is less than the average value of the standard deviation of the change amplitude of j types of equipment data, the corresponding equipment data is input into set A, and the j types of equipment data are filtered by the formula to obtain the filtered set A; the data values ​​before and after the equipment data is shut down are calculated by the same method, and set B is obtained after filtering;

[0081] S203, perform a secondary judgment on the device data in sets A and B, the formula is:

[0082]

[0083] In the formula, Sk e Indicates the data value of each device before the device is turned on, St' e Indicates the data value of each device after the device is shut down, Sk' e Indicates the data value of each device after the device is turned on, St e Represents the data value of each device data before the device is shut down; when the device data in sets A and B satisfy that the data value before startup is equal to the data value after shutdown, and the data value after startup is equal to the data value before shutdown, it is input into set C, and the filtered set C is used as the safety data for equipment startup and shutdown.

[0084] S300, extracting the safety data values ​​of the equipment during the process from startup to shutdown, constructing a startup and shutdown process curve of all safety data, and calculating the startup-shutdown safety time threshold and shutdown-startup safety time threshold of the equipment according to the startup and shutdown process curve;

[0085] The specific steps for calculating the start-stop safety time threshold and the stop-start safety time threshold of the equipment according to the start-stop process curve are as follows:

[0086] S301, assuming that the safety data of the screened equipment is {Sa 1 , Sa 2 , Sa 3 、...、Sa d}, Sa 1 , Sa 2 , Sa 3 、...、Sa d It means that the first, second, third, ..., d kinds of safety data of the equipment are screened, and d is a positive integer; each safety data value of the equipment in the process of starting up and shutting down is extracted, and each safety data value is used as a variable, and the equipment start-up and shutdown process time is used as an independent variable to draw a curve chart to obtain the start-up and shutdown change curve of each safety data; each start-up and shutdown change curve is observed, and the interval in which all safety data in the start-up and shutdown change curve do not change to a horizontal line is extracted, and all the extracted intervals are compared, and the interval with the largest safety data value and the longest duration is selected, and the selected interval is taken as the working time period of the equipment (Tg start , Tg over ), Tg start Indicates the start node of the equipment working time period, Tg over Indicates the end node of the equipment working time period; Tg in the start-stop change curve start The interval before the node is used as the device startup time period, and Tg over The interval after the node is used as the equipment downtime period;

[0087] S302, assuming that the initial time of the curve in the startup time period of the device is T0, the time of the start node in the working time period of the device is T1, the time of the end node in the working time period of the device is T2, and the time of the last node in the startup and shutdown change curve is T3; the startup and shutdown change curves of the d types of safety data of the device are divided into nodes;

[0088] The start-stop safety time threshold and stop-start safety time threshold of the equipment are calculated, and the formula is:

[0089] Tky=max(T1 r -T0 r )

[0090] Tgy=max(T3 r -T2 r );

[0091] In the formula, Tky represents the start-stop safety time threshold of the equipment, Tgy represents the stop-start safety time threshold of the equipment, and r is from 1 to d.

[0092] Calculate the start-stop safety time threshold and stop-start safety time threshold of the equipment. When the equipment needs to be shut down or restarted, the safe startup and shutdown of the equipment can be guaranteed by judging the interval time, avoiding abnormalities and failures of the equipment during startup and shutdown, and improving the safety of equipment operation.

[0093] S400, when the device needs to be started or stopped, collect the real-time position data of each preparation condition of the device, determine whether the real-time position data of the device meets the pre-start state and the pre-stop state, terminate the operation if it does not meet the requirements, calculate the position adjustment value of the device, and use the position adjustment value to adjust the device to meet the pre-start state and the pre-stop state;

[0094] The specific steps for adjusting the equipment using the position adjustment value to meet the pre-start state and pre-stop state are as follows:

[0095] S401, when the device needs to be turned on, the real-time position data of each preparation condition of the device is collected as {Ks 1 , Ks 2 , Ks 3 , ..., Ks m}, Ks 1 , Ks 2 , Ks 3 , ..., Ks m Indicates collecting the real-time position data of the 1st, 2nd, 3rd, ..., mth preparation conditions of the equipment. When the equipment needs to be shut down, collect the real-time position data of p preparation conditions; use the pre-start state and pre-shutdown state to judge the collected real-time position data of each preparation condition of the equipment. When {Ks1 , Ks 2 , Ks 3 , ..., Ks m}={Kz 1 , Kz 2 , Kz 3 , ..., Kz m}, it is determined that the device meets the pre-startup status and can be started; when {Ks 1 , Ks 2 , Ks 3 , ..., Ks m}≠{Kz 1 , Kz 2 , Kz 3 , ..., Kz m}, it is determined that the device does not meet the pre-startup state and startup is prohibited; the same method is used to determine whether the device meets the pre-shutdown state;

[0096] S402: When it is determined that the real-time position data of the equipment preparation condition does not meet the pre-startup state, the position data adjustment value of each preparation condition is calculated, and the formula is:

[0097] D={Ks 1 , Ks 2 , Ks 3 , ..., Ks m}-{Kz 1 , Kz 2 , Kz 3 , ..., Kz m};

[0098] In the formula, D represents the calculated position data adjustment value set of all preparation conditions before the equipment is started. The same method is used to calculate the position data adjustment value set of all preparation conditions before the equipment is shut down, and the adjustment value is used to adjust the equipment's preparation conditions to the pre-startup state and the pre-shutdown state.

[0099] S500. When the equipment meets the pre-start-up state and the pre-stop state, the start-stop and stop-start interval time of the equipment is collected in real time, and the real-time start-stop and stop-start interval time is judged using the start-stop safety time threshold and the stop-start safety time threshold. When the threshold is not met, an early warning is issued and the equipment start-stop operation is stopped.

[0100] When the threshold is not met, the specific steps to issue an early warning and stop the equipment start-up and shutdown operations are as follows:

[0101] S501. When the device meets the pre-startup state, the device is started up, and the working time is collected in real time after the device is started up. When the user needs to stop the device, the real-time start-stop interval of the device is determined to be Tks. The real-time start-stop interval is judged by using the start-stop safety time threshold. When Tks≥Tky, it is judged that the shutdown operation can be performed. When Tks<Tky, it is judged that there is a fault risk and the shutdown operation is prohibited;

[0102] S502. When the equipment meets the pre-shutdown state, the equipment is shut down. After the equipment is shut down, the working time is collected in real time. When the user needs to start the equipment again, the real-time stop-start interval of the equipment is determined to be Tgs. The real-time stop-start interval is judged using the stop-start safety time threshold. When Tgs≥Tgy, it is determined that the shutdown operation can be performed. When Tgs<Tgy, it is determined that there is a risk of failure and the shutdown operation is prohibited.

[0103] The time interval between the start and stop of the equipment is judged to prevent equipment failure caused by frequent start and stop, and to increase the service life of the equipment. The electronic components in the equipment, such as chips, capacitors, resistors, etc. on the circuit board, are sensitive to the stability of current and voltage. Frequent start and stop may cause unstable power supply. For example, a large surge current will be generated at the moment of start-up, which may exceed the rated tolerance range of the electronic components and cause damage to them. By controlling the start and stop interval, it can ensure that the electronic components work in a relatively stable power supply environment, reduce the risk of damage caused by power supply fluctuations, help to extend the service life of electronic components, and thus extend the service life of the entire equipment. The equipment will generate heat during operation, and its internal heat dissipation system will try to dissipate the heat to maintain a suitable operating temperature. When the equipment is frequently started and stopped, each start-up needs to be reheated to the appropriate operating temperature, and each shutdown will cause the temperature to drop rapidly. Such frequent temperature fluctuations are not conducive to the stable performance of the equipment. By preventing frequent start and stop, the equipment can continue to work in a relatively stable temperature environment, which is conducive to maintaining the stability of its performance.

[0104] An intelligent monitoring system for equipment startup and shutdown based on data analysis, the intelligent monitoring system for equipment startup and shutdown includes a data collection module, a pre-state determination module, a safety data search module, a threshold calculation module, a state judgment module and a time judgment module;

[0105] The data collection module is used to collect the equipment data of equipment start and stop in the historical records;

[0106] The pre-state determination module is used to analyze the equipment data of equipment start and stop in the historical records to obtain the preparation conditions, and use the position data of the preparation conditions when the equipment is started and stopped to respectively construct the pre-start state and the pre-stop state;

[0107] The safety data search module is used to analyze the equipment data that changes during the equipment startup and shutdown process in the historical records to obtain the safety data that affects the equipment startup and shutdown;

[0108] The threshold calculation module is used to calculate the start-stop safety time threshold and the stop-start safety time threshold of the equipment by drawing a curve chart using the safety data value when the equipment is started and stopped;

[0109] The state judgment module is used to judge whether the equipment meets the pre-start-stop state based on the real-time position data of the preparation data when the equipment is started or stopped;

[0110] The time judgment module is used to judge whether the corresponding interval time meets the threshold when the device needs to be started-stopped or stopped-started, and prohibit the operation when it does not meet the threshold.

[0111] The pre-state determination module includes a pre-start state unit and a pre-stop state unit;

[0112] The pre-startup status unit is used to collect the position data of the preparation conditions when the device is turned on in the historical records to obtain the pre-startup status of the device;

[0113] The pre-shutdown state is used to collect the position data of the preparation conditions when the equipment is shut down in the historical records to obtain the pre-shutdown state of the equipment.

[0114] The threshold calculation module includes a start-stop safety time threshold unit and a stop-start safety time threshold unit;

[0115] The start-stop safety time threshold unit is used to determine the start-up time period of the equipment by drawing a curve chart using the safety data value when the equipment is started and stopped, and calculate the start-stop safety time threshold;

[0116] The stop-start safety time threshold unit is used to use the safety data value when the equipment is started and stopped, determine the downtime period of the equipment by drawing a curve chart, and calculate the stop-start safety time threshold.

[0117] The time judgment module includes a start-stop time judgment unit and a stop-start time judgment unit;

[0118] The start-stop time judgment unit is used to collect the start-stop interval time of the equipment, use the start-stop safety time threshold to judge the start-stop interval time, and prohibit shutdown when it is not satisfied;

[0119] The stop-start time judgment unit is used to collect the stop-start interval time of the equipment, use the stop-start safety time threshold to judge the stop-start interval time, and prohibit starting when it is not met.

[0120] Example: Monitor the start and stop of a certain device, and through the device data of normal start and stop of the device in the historical records, obtain the pre-start state of temperature 25, current 30; the pre-stop state of temperature 10, current 5;

[0121] The safety data of the equipment found are vibration frequency and temperature;

[0122] The calculated start-stop safety time threshold of the vibration frequency safety data is 20, and the stop-start safety time threshold is 25. The start-stop safety time threshold of the temperature safety data is 10, and the stop-start safety time threshold is 5. The maximum value is taken to obtain the start-stop safety time threshold of the equipment as 20, and the stop-start safety time threshold is 25.

[0123] Now the device needs to be powered on. The collected temperature and current position data are 25 and 30, which meet the pre-power-on status and can be powered on.

[0124] After the device is turned on, the user wants to shut down the device. The real-time collected start-stop time interval is 5. It is determined that the start-stop time interval is less than the start-stop safety time threshold of the device, and shutdown is prohibited.

[0125] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A method for intelligent monitoring of equipment startup and shutdown based on data analysis, characterized in that: The method comprises the following steps: S100, respectively collecting equipment data of normal start and stop of equipment in historical records, analyzing the collected equipment data, extracting equipment data affecting start and stop as preparation conditions, collecting location data of each preparation condition, and respectively constructing a pre-start state and a pre-stop state of the equipment according to the type and location data of the preparation conditions for normal start and stop of the equipment; S200, collecting equipment data that changes during the equipment startup and shutdown process in historical records, calculating the change range of the equipment data during the startup and shutdown process, and filtering the collected equipment data to obtain safety data for the equipment startup and shutdown; S300, extracting the safety data values ​​of the equipment during the process from startup to shutdown, constructing a startup and shutdown process curve of all safety data, and calculating the startup-shutdown safety time threshold and shutdown-startup safety time threshold of the equipment according to the startup and shutdown process curve; S400, when the device needs to be started or stopped, collect the real-time position data of each preparation condition of the device, determine whether the real-time position data of the device meets the pre-start state and the pre-stop state, terminate the operation if it does not meet the requirements, calculate the position adjustment value of the device, and use the position adjustment value to adjust the device to meet the pre-start state and the pre-stop state; S500. When the equipment meets the pre-start-up state and the pre-stop state, the start-stop and stop-start interval time of the equipment is collected in real time, and the real-time start-stop and stop-start interval time is judged using the start-stop safety time threshold and the stop-start safety time threshold. When the threshold is not met, an early warning is issued and the equipment start-stop operation is stopped.

2. According to the data analysis-based intelligent monitoring method for equipment startup and shutdown according to claim 1, it is characterized by: The specific steps of respectively establishing the pre-startup state and pre-shutdown state of the device according to the type of preparation conditions for normal startup and shutdown of the device and the position data in S100 are: S101, respectively collect the equipment data of normal start and stop of the equipment in the historical records, and correspondingly collect the equipment data of abnormal start and stop of the equipment in the historical records, calculate the difference of each equipment data collected in the two cases, and use the difference to determine the equipment data that affects the start and stop of the equipment, the formula is: In the formula, Sz i Indicates the collected equipment data of normal startup and shutdown of the equipment, Sg i Indicates the equipment data collected when abnormalities occur in the equipment startup and shutdown, n indicates the number of types of equipment data collected for the equipment startup and shutdown, and i is from 1 to n; the formula is used to judge the difference between two situations of each type of equipment data, and the equipment data with a difference greater than the average value is the equipment data that affects the startup and shutdown of the equipment, and the equipment data that affects the startup and shutdown is defined as the preparation condition; S102, collect the position data of each preparation condition when the equipment is normally turned on in the historical records {Kz1, Kz2, Kz3, ..., Kz m },Kz1,Kz2,Kz3,...,Kz m represents the position data of the 1st, 2nd, 3rd, ..., mth preparation conditions when the device is normally powered on in the collected historical records, where m is a positive integer; the pre-power-on state of the device is constructed using the position data of each preparation condition when the device is normally powered on, and the position data of each preparation condition when the device is normally shut down in the collected historical records is {Kt1, Kt2, Kt3, ..., Kt p }, Kt1, Kt2, Kt3,...,Kt p It represents the position data of the 1st, 2nd, 3rd, ..., pth preparation conditions when the equipment is shut down normally in the collected historical records, where p is a positive integer; the pre-shutdown state of the equipment is constructed using the collected position data of each preparation condition when the equipment is shut down normally.

3. According to the data analysis-based intelligent monitoring method for equipment startup and shutdown according to claim 1, it is characterized by: The specific steps of screening the collected equipment data to obtain the equipment startup and shutdown safety data in S200 are: S201, collect the equipment data that changes during the equipment startup and shutdown process in the historical records, and collect the data value of the equipment data before the equipment is started {Sk1, Sk2, Sk3, ..., Sk j },Sk1,Sk2,Sk3,...,Sk j It represents the data value of the 1st, 2nd, 3rd, ..., jth device data collected before the device is turned on, where j is a positive integer; the data value of the collected device data after the device is turned on is {Sk'1, Sk'2, Sk'3, ..., Sk' j },Sk'1,Sk'2,Sk'3,...,Sk' j Indicates the values ​​of the 1st, 2nd, 3rd, ..., jth type of equipment data collected after startup; the data values ​​of the same collected equipment data before and after the equipment is shut down; S202, using the data values ​​of the collected equipment data before and after the equipment is turned on to calculate the change range, the formula is: Sc e =|Sk e -Sk' e |, in the formula, Sc e Indicates the calculated change in the value of the device data before and after the device is turned on, Sk e Indicates the data value of each device before the device is powered on, Sk' e Indicates the data value of each device data after the device is powered on; Collect the data values ​​of the equipment data before and after the equipment is turned on in h historical records, calculate the standard deviation of the change range of each equipment data in the h records, and use the standard deviation to filter the equipment data. The formula is: Pcs e ≤Pcs p →A; In the formula, Stk e Indicates the standard deviation of the data variation of each device, Stk p represents the average value of the standard deviation of the change amplitude of j types of equipment data, and e belongs to 1 to j; when the standard deviation of the change amplitude of equipment data is less than the average value of the standard deviation of the change amplitude of j types of equipment data, the corresponding equipment data is input into set A, and the j types of equipment data are filtered by the formula to obtain the filtered set A; the data values ​​before and after the equipment data is shut down are calculated by the same method, and set B is obtained after filtering; S203, perform a secondary judgment on the device data in sets A and B, the formula is: In the formula, Sk e Indicates the data value of each device before the device is turned on, St' e Indicates the data value of each device after the device is shut down, Sk' e Indicates the data value of each device after the device is turned on, St e Represents the data value of each device data before the device is shut down; when the device data in sets A and B satisfy that the data value before startup is equal to the data value after shutdown, and the data value after startup is equal to the data value before shutdown, it is input into set C, and the filtered set C is used as the safety data for equipment startup and shutdown.

4. According to the data analysis-based intelligent monitoring method for equipment startup and shutdown according to claim 1, it is characterized by: The specific steps of calculating the start-stop safety time threshold and the stop-start safety time threshold of the equipment according to the start-stop process curve in S300 are: S301, suppose the safety data of the screened equipment is {Sa1, Sa2, Sa3, ..., Sa d }, Sa1, Sa2, Sa3,..., Sa d It means that the first, second, third, ..., d kinds of safety data of the equipment are screened, and d is a positive integer; each safety data value of the equipment in the process of starting up and shutting down is extracted, and each safety data value is used as a variable, and the equipment start-up and shutdown process time is used as an independent variable to draw a curve chart to obtain the start-up and shutdown change curve of each safety data; each start-up and shutdown change curve is observed, and the interval in which all safety data in the start-up and shutdown change curve do not change to a horizontal line is extracted, and all the extracted intervals are compared, and the interval with the largest safety data value and the longest duration is selected, and the selected interval is taken as the working time period of the equipment (Tg start , Tg over ), Tg start Indicates the start node of the equipment working time period, Tg over Indicates the end node of the equipment working time period; Tg in the start-stop change curve start The interval before the node is used as the device startup time period, and Tg over The interval after the node is used as the equipment downtime period; S302, assuming that the initial time of the curve in the startup time period of the device is T0, the time of the start node in the working time period of the device is T1, the time of the end node in the working time period of the device is T2, and the time of the last node in the startup and shutdown change curve is T3; the startup and shutdown change curves of the d types of safety data of the device are divided into nodes; The start-stop safety time threshold and stop-start safety time threshold of the equipment are calculated, and the formula is: Tky=max(T1 r -T0 r ) Tgy=max(T3 r -T2 r ); In the formula, Tky represents the start-stop safety time threshold of the equipment, Tgy represents the stop-start safety time threshold of the equipment, and r is from 1 to d.

5. According to the data analysis-based intelligent monitoring method for equipment startup and shutdown according to claim 2, it is characterized by: The specific steps of using the position adjustment value to adjust the device to meet the pre-start state and the pre-stop state in S400 are: S401, when the device needs to be turned on, collect the real-time position data of each preparation condition of the device {Ks1, Ks2, Ks3, ..., Ks m },Ks1,Ks2,Ks3,...,Ks m Indicates collecting the real-time position data of the 1st, 2nd, 3rd, ..., mth preparation conditions of the equipment. When the equipment needs to be shut down, the real-time position data of p preparation conditions are collected. The pre-start state and pre-shutdown state are used to judge the collected real-time position data of each preparation condition of the equipment. When {Ks1, Ks2, Ks3, ..., Ks m }={Kz1, Kz2, Kz3,...,Kz m }, it is determined that the device meets the pre-startup status and can be started; when {Ks1, Ks2, Ks3, ..., Ks m }≠{Kz1, Kz2, Kz3,...,Kz m }, it is determined that the device does not meet the pre-startup state and startup is prohibited; the same method is used to determine whether the device meets the pre-shutdown state; S402: When it is determined that the real-time position data of the equipment preparation condition does not meet the pre-startup state, the position data adjustment value of each preparation condition is calculated, and the formula is: D={Ks1、Ks2、Ks3、...、Ks m }-{Kz1、Kz2、Kz3、...、Kz m }; In the formula, D represents the calculated position data adjustment value set of all preparation conditions before the equipment is started. The same method is used to calculate the position data adjustment value set of all preparation conditions before the equipment is shut down, and the adjustment value is used to adjust the equipment's preparation conditions to the pre-startup state and the pre-shutdown state.

6. The method for intelligent monitoring of equipment startup and shutdown based on data analysis according to claim 4 is characterized by: The specific steps of issuing an early warning and stopping the equipment start-up and shutdown operations in S500 when the threshold is not met are: S501. When the device meets the pre-startup state, the device is started up, and the working time is collected in real time after the device is started up. When the user needs to stop the device, the real-time start-stop interval of the device is determined to be Tks. The real-time start-stop interval is judged by using the start-stop safety time threshold. When Tks≥Tky, it is judged that the shutdown operation can be performed. When Tks<Tky, it is judged that there is a fault risk and the shutdown operation is prohibited; S502. When the equipment meets the pre-shutdown state, the equipment is shut down. After the equipment is shut down, the working time is collected in real time. When the user needs to start the equipment again, the real-time stop-start interval of the equipment is determined to be Tgs. The real-time stop-start interval is judged using the stop-start safety time threshold. When Tgs≥Tgy, it is determined that the shutdown operation can be performed. When Tgs<Tgy, it is determined that there is a risk of failure and the shutdown operation is prohibited.

7. An intelligent monitoring system for equipment startup and shutdown based on data analysis, characterized in that: The equipment startup and shutdown intelligent monitoring system includes a data collection module, a pre-state determination module, a safety data search module, a threshold calculation module, a state judgment module and a time judgment module; The data collection module is used to collect the equipment data of equipment start and stop in the historical records; The pre-state determination module is used to analyze the equipment data of equipment start and stop in the historical records to obtain the preparation conditions, and use the position data of the preparation conditions when the equipment is started and stopped to respectively construct the pre-start state and the pre-stop state; The safety data search module is used to analyze the equipment data that changes during the equipment startup and shutdown process in the historical records to obtain the safety data that affects the equipment startup and shutdown; The threshold calculation module is used to calculate the start-stop safety time threshold and the stop-start safety time threshold of the equipment by drawing a curve chart using the safety data value when the equipment is started and stopped; The state judgment module is used to judge whether the equipment meets the pre-start-stop state based on the real-time position data of the preparation data when the equipment is started or stopped; The time judgment module is used to judge whether the corresponding interval time meets the threshold when the device needs to be started-stopped or stopped-started, and prohibit the operation when it does not meet the threshold.

8. The equipment startup and shutdown intelligent monitoring system based on data analysis according to claim 7 is characterized by: The pre-state determination module includes a pre-start state unit and a pre-stop state unit; The pre-startup status unit is used to collect the position data of the preparation conditions when the device is turned on in the historical records to obtain the pre-startup status of the device; The pre-shutdown state is used to collect the position data of the preparation conditions when the equipment is shut down in the historical records to obtain the pre-shutdown state of the equipment.

9. The equipment startup and shutdown intelligent monitoring system based on data analysis according to claim 7 is characterized by: The threshold calculation module includes a start-stop safety time threshold unit and a stop-start safety time threshold unit; The start-stop safety time threshold unit is used to determine the start-up time period of the equipment by drawing a curve chart using the safety data value when the equipment is started and stopped, and calculate the start-stop safety time threshold; The stop-start safety time threshold unit is used to use the safety data value when the equipment is started and stopped, determine the downtime period of the equipment by drawing a curve chart, and calculate the stop-start safety time threshold.

10. The equipment startup and shutdown intelligent monitoring system based on data analysis according to claim 7 is characterized by: The time judgment module includes a start-stop time judgment unit and a stop-start time judgment unit; The start-stop time judgment unit is used to collect the start-stop interval time of the equipment, use the start-stop safety time threshold to judge the start-stop interval time, and prohibit shutdown when it is not satisfied; The stop-start time judgment unit is used to collect the stop-start interval time of the equipment, use the stop-start safety time threshold to judge the stop-start interval time, and prohibit starting when it is not met.

Images