51results about How to "Reduce the number of alarms" patented technology

The invention discloses an alarm system optimization method based on a bayesian network. The optimization method comprises the following steps: firstly, alarm data is collected, and the alarm data comprises alarm variables and alarm kinds; secondly, pretreatment of the alarm data is carried out, a data set used for bayesian network learning is generated according to states of the alarm variables; thirdly, correlation relations among the alarm variables are monitored from the alarm data learning, and qualitative and quantitative characterization of the correlation relations is carried out by utilization of the bayesian network ; fourthly, the obtained bayesian network is employed to adjust an alarm network, the root reason causing alarm is positioned rapidly and alarm flooding is reduced. The purpose is that an alarm system management method based on the bayesian network is employed to optimize alarm network performances, alarm flooding is reduced as possible, and therefore the method helps people to position the root reason causing alarm rapidly and take steps.

The invention relates to the field of intelligent power grids, in particular to a multi-station fusion system operation situation anomaly monitoring and alarm merging method, which comprises the stepsof training an anomaly detection model based on historical data of a power multi-station fusion system, and determining an abnormal value threshold; obtaining time sequence data of the operation situation of the power multi-station fusion system in real time, inputting the processed time sequence data into a trained anomaly detection model to obtain an anomaly score of the data, comparing the anomaly score with an anomaly value threshold, and determining anomaly information; based on the historical alarm data information, mining the correlation between the alarm information, and determining an association rule; and determining the category and the emergency degree of the anomaly information, generating corresponding alarm information, and completing combination and output of the alarm information based on the association rule. According to the invention, combination and output of alarm information are realized, and effective detection of anomaly data in time series data in operation and maintenance of the power multi-station fusion system is realized.

The invention relates to a method for matching low-speed pouring of an ultra-thick plate blank with consumption of continuous casting powder and belongs to the technical field of continuous casting powder of a steelmaking continuous casting crystallizer. The method comprises the following steps: by aiming at the carbon content of 0.15-0.2wt% in the medium carbon steel made of a 400mm ultra-thick plate blank, controlling the content of SiO2 in the continuous casting powder within a range of 28-34wt%, controlling the content of CaO within a range of 35-40wt%, controlling the content of Al2O3 within a range of 3.5-4wt%, controlling the alkalinity within a range of 1.25-1.26, controlling the viscosity within a range of 1.4-1.5 Poise, controlling the content of carbon within a range of 7.5-8wt% and controlling the melting point within a range of 1100-1130 DEG C, thereby being beneficial to increasing the consumption of the continuous casting powder; and meanwhile, according to practical production requirements, when a pouring speed of a plate blank is 0.7m/min, controlling the vibration frequency within a range of 145-155cpm, controlling the vibration amplitude within a range of 4.5-5.0mm and controlling the negative slip time within a range of 0.09-0.12s, thereby acquiring the consumption of continuous casting powder being 0.55-0.60kg/m<2> and the actual measured melt cinder thickness being 10-13mm. The method provided by the invention has the advantage that the balance between the consumption of continuous casting powder and the melting speed is effectively controlled.

The embodiment of the invention provides a fatigue driving alarm method, device and equipment, and the method comprises the steps: continuing to obtain the driving state information associated with avehicle instead of immediately giving a fatigue driving alarm under the condition that a driver is judged to be in a fatigue state; determining a danger coefficient of vehicle driving based on the driving state information; under the condition that the danger coefficient meets the preset warning condition, carrying out fatigue driving warning. Therefore, on the first hand, the number of times of warning is reduced, and adverse effects caused by frequent warning are reduced; on the second hand, fatigue driving warning is conducted under the condition that the danger coefficient of the vehicle meets the preset warning condition, and the driving safety is improved.

The embodiment of the invention discloses an elevator safety monitoring method, device, system and medium. The method comprises the steps that operation data in the operation process of an elevator are received; the abnormal data of the elevator in an abnormal state are obtained from the operation data; and if the abnormal data do not exceed the self-recovery data range within which the elevator can be recovered to be the normal state independently, an elevator fault alarm is not given. By means of the elevator safety monitoring method, device, system and medium, the false alarm rate of the elevator can be effectively lowered, and accuracy of elevator alarming is improved.

The invention discloses an IDS rule optimization system and optimization method. The optimization system comprises an alarm log processing module which collects IDS alarm logs, generates unique identification codes and obtains a date of that day, a historical alarm database which stores historical IDS alarm logs, a query module which queries whether the collected IDS alarm logs are stored in the historical alarm database or not and performs storage if the collected IDS alarm logs are not stored in the historical alarm database, a rule statistics module which performs statistics on the historical alarm database of the past M days and generates M historical alarm lists, a scanning module which scans each historical alarm list and performs a query, an extraction module which extracts historical alarm logs, of which a statistic frequency is higher than a first threshold, and obtains an IDS rule name, an address statistics module which performs statistics on an address quantity according to a flow direction, a false alarm rule identification module which identifies an IDS rule, in which the address quantity subjected to the statistics is greater than a second threshold, as a false alarm rule, and a processing module which deletes the false alarm rule. According to the system and the method, the alarm quantity is reduced, so that the alarm accuracy is improved.

The invention discloses a threat alarm method, device and equipment via target perception. The method comprises that information aimed at attack is preset; target perception is carried out on a received data message, and security related information of a target host is obtained; and the preset attacked aimed information is compared with the security related information to determine whether to raise threat alarm. The preset attack aimed information is used to senses target threats in the network environment, the attack aimed information is compared with the security related information of target perception, and whether threat alarm is raised is determined according to a comparison result; and thus, alarm is reduced, threat alarm is more effective, possible omission is avoided, a user needsnot to log in the security related information of the protected host manually, instead, possible change of the security related information of the target host is adapted to automatically, and the method is easy to enforce and use and more practical.

The invention discloses a novel SE Mark point graph structure and a preparation method thereof. A purpose of the invention is to solve the problems of Mark point damage, high cost, low stability and long manufacturing time caused by secondary processing of the same area in a graph in the prior art. The novel SE Mark point graph structure comprises a silicon wafer body and a plurality of Mark points, wherein the Mark points are of a cross-shaped structure, and the Mark points are subjected to laser in the four corner areas of the silicon wafer body and used for a PERC superposition selective emitter technology. According to the invention, through the special Mark points, the production efficiency can be improved and the productivity can be improved in the production process, the number of device alarms is reduced, and the production time is greatly shortened; the preparation method is convenient for equipment identification, is good in stability in the industrial production process, andis completely compatible in equipment; and four cross-shaped Mark points are obtained through laser so as to achieve good alignment point morphology and convenient recognition, transverse lines and vertical lines cannot be overlapped for marking in the marking process, an equipment camera can conduct recognition more easily in the printing process, the number of times of alarming is reduced, andthe industrial production efficiency is effectively improved.

The invention provides an alarm method and device, and electronic equipment, and relates to the technical field of monitoring, and the method comprises the steps of obtaining the alarm state of a to-be-monitored system at a current moment; under the condition that the alarm state of the to-be-monitored system is an abnormal state, judging whether an abnormal event exists within a first preset timeperiod after the current moment or not; and if so, determining that the alarm state of the to-be-monitored system is an abnormal state within a first preset time period after the current moment, andnot carrying out repeated alarm. The invention provides an alarm method. After the system to be monitored is in an abnormal state, whether the to-be-monitored system returns to a normal state or not is judged by taking a first preset time period as a time unit; even if abnormal events are discontinuous in the first preset time period, new alarm information cannot be triggered, the alarm frequencyis reduced, and therefore the technical problem that in the prior art, an alarm method is high in alarm information redundancy is effectively solved.

The embodiment of the invention discloses an alarm aggregation reporting method and device, computer equipment and a storage medium. The invention relates to the technical field of alarm. The method comprises the following steps: regularly querying whether a main node exists in a preset database; if the master node does not exist in the preset database, one slave node is selected from the multiple slave nodes to serve as the master node through an optimistic lock mechanism of the preset database, and the effective tenancy time of the master node is set as the preset tenancy time; regularly inquiring whether the main node meets a lease renewing condition or not; if the main node meets the lease renewal condition, acquiring current time, and resetting the effective lease term according to the current time and the preset lease term; and if the main node receives the alarm information within the effective lease period, aggregating the alarm information according to an alarm strategy within a preset alarm aggregation time to obtain aggregated information, and reporting the aggregated information to related personnel. The embodiment of the invention can reduce the alarm frequency and improve the overall effectiveness of the alarm.

The invention provides a method for eliminating the crystals of a selective catalytic reduction system, and belongs to the technical fields of engines and tail gas treatment. The method comprises thefollowing steps: monitoring the crystals in the selective catalytic reduction system in a normal working state; while monitoring the crystals in the selective catalytic reduction system, switching over the normal working state to a temporary working state; and executing elimination operation corresponding to the crystals in the temporary working state. The method is capable of monitoring the crystals in the SCR aftertreatment system; according to the method, the crystals in the SCR aftertreatment system are treated, the OBD alarming times caused by high NOX emission are reduced, and the timesof regeneration for activating SCR performance are reduced, so that engine oil dilution caused by multiple regenerations is prevented; and the method has the advantages of being simple in structure, low in cost, and good in use effect.

The invention belongs to the technical field of battery preparation, and discloses a Mark point pattern and a preparation method thereof. The Mark point pattern comprises a plurality of concentric circles. The outline of each circle is an imaginary line, and the imaginary and real parts of two circles adjacent to each other inside and outside are staggered and corresponding to each other. The preparation method comprises the steps of S1 drawing a base circle with a preset diameter at each of four corners of the surface of a battery piece by laser equipment according to preset coordinates; S2 performing concentric circle type filling or spiral line type filling from inside to outside on the basis of the base circle to obtain a Mark point base pattern; and S3 setting a virtual-real ratio, and selecting the Mark point basic pattern for laser marking to obtain the Mark point pattern. According to the invention, the overlapping marking phenomenon can be effectively reduced, so that the damage to the Mark point area is reduced; the Mark point pattern is easier to identify in the subsequent process; the alarm frequency is reduced; the marking time is shortened; and the productivity is improved.

The invention provides an alarm analysis method and device, and the method comprises the steps: determining a call chain corresponding to a transaction alarm under the condition that the transaction alarm of a system is monitored; analyzing the transaction alarm based on the abnormal index information of the call chain, and determining whether the alarm type of the transaction alarm is an abnormal root cause alarm of the call chain; if so, sending alarm information corresponding to the transaction alarm to operation and maintenance personnel; and if not, determining whether the alarm frequency that the system continuously generates transaction alarms is greater than or equal to an alarm threshold value, and if so, sending alarm information corresponding to the transaction alarms to operation and maintenance personnel. By analyzing the transaction alarms, when the alarm type of the transaction alarms is the preset alarm type or the alarm frequency of the transaction alarms continuously generated by the system is greater than or equal to the alarm threshold value, the alarm information is sent to the operation and maintenance personnel, so that the alarm frequency of the system is reduced, and the attention and workload of the operation and maintenance personnel to the system are reduced; and the working efficiency of operation and maintenance personnel is improved.

Embodiments of the invention provide a business alert aggregation method and apparatus. The method comprises the steps of querying whether alert information with the same type as received alert information exists or not in a storage system when a piece of the new alert information is received; if the alert information with the same type as the received alert information does not exist, storing thereceived alert information as a new type of alert information in the storage system, starting a timer with a preset time length, and in the preset time length, performing text aggregation on the multiple pieces of the alert information with the same type as the new type of the alert information one by one; and when the timer stops working, sending the new type of the finally generated aggregatedalert information, and deleting the aggregated alert information. Through alert prejudgment, alert waiting and alert aggregation, the same alerts in a certain time are aggregated, so that the alert quantity is reduced, the alert quality is improved, and the pressure of an alert platform is reduced.

The invention discloses a DNS hidden tunnel event automatic detection method and device, and electronic equipment. The method comprises the steps: collecting flow data of a DNS tunnel, filtering the redundant flow data, and obtaining a flow sample; analyzing the traffic sample, and extracting traffic data features; identifying the extracted flow data features by using a preset model to obtain a DNS tunnel event; carrying out risk false alarm troubleshooting on the DNS tunnel event under a plurality of clue dimensions; calculating a risk value of the DNS tunnel event according to a troubleshooting result; and outputting the DNS hidden tunnel risk event alarm and the risk value. According to the scheme, various event troubleshooting clues are provided for safety analysts, the false alarm rate is reduced, and the interface friendliness is improved.

The invention discloses an intelligent automatic fuel gas cut-off valve control system and a control method thereof, and relates to the technical field of valve control. The system is characterized bycomprising a detection module used for sending out a leakage signal after fuel gas leakage is detected; an alarm module electrically connected to the output end of the detection module and is used for giving an alarm after receiving the leakage signal; and an execution module used for cutting off the valve after receiving the leakage signal and including a circuit breaker relay connected to the output end of the detection module. A normally-closed contact of the circuit breaker relay is connected with the valve in series. The alarm module comprises a remote alarm unit in signal connection with the detection module, the remote alarm unit gives an alarm remotely after receiving the leakage signal, and the remote alarm unit further comprises a control button used for controlling the valve tobe closed. The technical problem that danger is easily caused by gas leakage is solved, and the device has the advantage that the danger caused by gas leakage is reduced.

The statistical method of safety supervision system alarm numbers comprises the following steps of step1, setting a time limit value; step2, when a value measured at one moment exceeds a threshold, recording the moment, and in a time period from the moment to the later time limit value, calculating the total time period sum of the values which exceed the threshold through real-time measurement; and step3, setting a percentage, calculating the ratio of the total time period and the time limit value in the step two, when the ratio exceeds the percentage, considering that the value in the time period is abnormal and calculating as one alarm number; otherwise, carrying out the operation that the number is not counted. In the invention, repeated statistical alarm numbers can be greatly reducedand the validity of the alarm numbers is increased.

The invention discloses a method for extracting effective alarm data based on natural language features, which comprises a locality sensitive hash module and an editing distance algorithm module, and is characterized in that the locality sensitive hash algorithm module comprises a word segmentation module, a hash module, a weighting module, a merging module and a dimension reduction module; the word segmentation module is used for giving a section of statement, carrying out word segmentation to obtain effective feature vectors, and then setting weights of 5 levels such as 1-5 for each feature vector; the hash module calculates a hash value of each feature vector through a hash function; the weighting module is used for weighting all the feature vectors on the basis of the hash value; the merging module accumulates weighting results of the feature vectors to form only one sequence string; the dimension reduction module is used for obtaining a simhash value of a statement; and the editing distance algorithm module performs similarity clustering on the hash values.

The invention relates to an alarm system, in particular to a bicycle sales alarm system capable of detecting and analyzing human behaviors. The system comprises a communication module, a video acquisition module, a behavior feature recognition module, a storage module, a video processing module and a behavior early warning module, and the communication module connects an alarm system with a terminal device and transmits instructions and data between the alarm system and the terminal device; according to the bicycle sales alarm system capable of detecting and analyzing the human body behaviors, related pictures of videos are intercepted according to the actions of people to obtain action videos, the action videos are synthesized, then the amplitude and the number of times of the actions are judged to select whether to give an alarm or not, the number of times of the alarm is reduced, and the alarm efficiency is improved. And the alarm efficiency is improved.