252 results about "Alarm state" patented technology

The invention discloses a time-phased intelligent pressure regulation management method and system for secondary water supply, and belongs to the technical field of water supply management, and the method specifically comprises the steps: dividing a day into a water consumption peak period and a water consumption low period based on historical water consumption flow data, and determining the starting and ending time nodes of each time period; through hydraulic calculation and actual water supply pressure monitoring, a pressure control point at the tail end of the water supply system is locked, and water supply pressure data of the point are collected in real time; in the water consumption peak period, a peak pressurization control strategy is executed; in the water consumption low-peak period, analysis is conducted according to historical water supply pressure data of a tail end pressure control point, and a low-peak period pressure safety threshold value is set; a pressure instruction is sent to a control system according to the threshold value, and water supply equipment is controlled to output pressure according to the threshold value; the water supply pressure of a tail end pressure control point is monitored in real time, and when the pressure is lower than a low-peak-period pressure safety threshold value, pre-alarm is triggered, and pressure changes are continuously recorded; and if the pre-alarm state is not finished continuously, switching to a peak-period peak pressurization control strategy.

The invention relates to an intelligent scheduling method and device for communication network resources, equipment and a medium. The method comprises the following steps: performing IP packet header analysis on a service data packet to obtain an initial service priority identifier, and performing adjustment in combination with a preset priority rule, an equipment alarm state and a network congestion rate to generate a dynamic service label; based on the dynamic service label, the real-time link state and the energy consumption coefficient, generating a resource allocation strategy and a path scoring weight parameter through a preset deep reinforcement learning network; and calculating a path score based on the resource allocation strategy and the path score weight parameter, generating a path mapping table, generating a port suppression instruction based on the dynamic service label and the resource allocation strategy, and extracting a base station power regulation instruction. According to the method, the dynamic adaptability, the resource utilization rate and the energy consumption management and control capability of communication network resource scheduling are improved by means of dynamically adjusting the service priority, comprehensively modeling a resource allocation strategy and the like, and the transmission guarantee level of high-priority services is enhanced.

The invention belongs to the technical field of fire-fighting monitoring, and particularly relates to a multi-source intelligent fire-fighting monitoring and response method, system and terminal based on hierarchical linkage. The method comprises the following steps: acquiring environmental parameters such as temperature and smoke collected by monitoring equipment in a plurality of target areas, and constructing first data information; a judgment model is generated based on the temperature and smoke change trend, and the regional state is judged to be safe or alarm; if the state is an alarm state, determining a disaster category in combination with a threshold comparison result; executing alarm or fire extinguishing response according to the disaster category; meanwhile, identifying an associated region related to the target region, determining a linkage level according to a preset rule, and executing a hierarchical response; and finally, generating a checking result according to a response effect, and dynamically optimizing the judgment model and the response strategy. According to the system, multi-source information fusion, intelligent fire identification and multi-region collaborative response are realized, and the timeliness and accuracy of intelligent fire fighting are improved.

The invention discloses a tunnel, bridge and culvert water level detection and alarm system and method based on deep learning, and the method comprises the following steps: S1, collecting an image and a capacitance water level signal at the lowest point of a tunnel or an easy water accumulation region, and generating standardized multi-source data; s2, inputting the image into a SegmentAnything model, extracting a water body mask, and calculating an image water level value in combination with scale mapping; s3, carrying out confidence weighted fusion on the image water level and the capacitance signal to obtain a fused water level value; s4, constructing a fused water level time sequence, constructing an SCI Net model, and outputting a predicted water level sequence; s5, generating an alarm label according to the fused water level and the prediction result; s6, LED display and acousto-optic response are controlled according to the alarm label, and an early warning prompt is started when a serious alarm is given; s7, capturing an image in an early warning or serious alarm state, and generating an alarm data packet; and S8, uploading to an urban water level monitoring platform through the Internet of Things module. According to the invention, intelligent identification and remote early warning of the ponding state of the tunnel bridge and culvert are realized.

A method of detecting anomalies using alarm data from a manufacturing network for manufacturing a product in batches includes obtaining alarm data, the alarm data indicates timing alarm state information of each alarm among one or more types of a plurality of alarms among a plurality of types of alarms during a plurality of batches. Each type of alarm is indicative of a different type of problem. The plurality of alarms includes a first alarm and a second alarm. For each batch, a probability that the second alarm will occur within a specified period of time after the first alarm is calculated based on the alarm data. A cumulative sum (CUSUM) of average deviations of probabilities calculated for each batch is stepwise calculated, and a batch having a maximum absolute value of the CUSUM is identified as a point-of-change batch exhibiting a potential anomaly indicative of a problem in the manufacturing network that requires investigation or repair.

The invention discloses a multi-axial mechanical accelerometer and a measuring method, and relates to the technical field of mechanical accelerometer equipment.The multi-axial mechanical accelerometer comprises a dome shell, a touch type alarm is installed in the dome shell, a transverse shaft is installed in the dome shell in the radial line direction of the dome shell, and the transverse shaft is sleeved with a conical sleeve; the conical sleeve is in sliding fit with the transverse rod, and the transverse shaft is sleeved with a first reset spring used for driving the conical sleeve to be close to the touch type alarm. The first base is installed at the bottom of the dome shell, a limiting assembly used for limiting the conical sleeve to move in the radial line direction is installed in the bottom of the first base, and the limiting assembly can move in the axis direction in the first base; when the multi-axial mechanical accelerometer works, acceleration signals in the axial direction and acceleration signals in the axial direction of other intersecting coordinate systems are responded, acceleration values in the axial direction of the multi-axial mechanical accelerometer are measured, an over-limit alarm state is indicated, and an alarm signal is output.

The invention discloses an operation alarm method and system for a power system, and belongs to the technical field of power system monitoring, and the method comprises the steps: deploying a distributed intelligent sensing network to collect data in a layered manner, and extracting basic physical characteristics; semantic annotation and hierarchical credibility evaluation are carried out on the basic physical features to generate a credible physical feature set; constructing a semantic causal graph and optimizing an edge weight through disturbance simulation to extract a dynamic risk factor; constructing a layered state vector and a dynamic health threshold vector, and comparing the layered state vector and the dynamic health threshold vector to generate an operation alarm state; and executing attribution analysis according to the operation alarm state to generate a threshold calibration signal for feedback. According to the method, the technical scheme of combining multi-source data fusion, hierarchical credibility evaluation, causal risk modeling and dynamic threshold adaptive calibration is adopted, so that accurate identification and prospective early warning of potential risks of the power system can be realized, and the accuracy and adaptive capability of alarm decision making are improved.

The invention discloses an acceleration tube full-process automatic reliability test system and device, and relates to the technical field of high-power microwave device testing, and the system specifically comprises the following modules: a control test module, a hardware control module, an acquisition processing module, a business logic module, a data persistence module, and a user performance module. Writing and executing an automatic reliability test script of the acceleration tube; receiving and executing a hardware control instruction, and uploading an original analog / digital signal of the equipment; the communication module communicates with equipment in the hardware control module, converts an original analog / digital signal into a digital signal which can be processed by a C # program, and carries out filtering, unit conversion and validity verification on the digital signal; an over-limit alarm function is provided, and the structured test data is sent to the data persistence layer; storing all test related data through a relational database; test parameter configuration, real-time monitoring, alarm states, data records and dose rate curves are provided based on a graphical user interface.

The present invention relates to the technical field of energy network regulation and control. Disclosed is a user-side integrated energy network coordination control method and system. The method comprises: acquiring energy supply and consumption data of each loop, calculating an actually measured value of a carbon emission responsibility factor of each node, and calculating an actual value of the total carbon emission amount of a user; comparing the actual value of the total carbon emission amount of the user with a limit value of the total carbon emission amount of the user, and when the total carbon emission amount of the user reaches an alarm state, sending warning information to the user; on the basis of predicted data of energy supply and consumption at time t, calculating a predicted value of the carbon emission responsibility factor of each node at time t, and obtaining a carbon emission high-crossing limit value of each node; and comparing the actually measured value of the carbon emission responsibility factor, the predicted value of the carbon emission responsibility factor and the carbon emission high-crossing limit value, and on the basis of the comparison result, configuring an operation mode of each node or issuing an execution instruction to an instruction execution device of each node loop. The present invention ensures that the total carbon emission amount of a user-side integrated energy network meets the limit requirements.

Determining clusters of similar regularly occurring time periods for alarm data. Detect, for regularly occurring time periods in the alarm data, a change of alarm state and its associated time stamp. Analyze the alarm data along a timeline to detect at least an overlapping period of time for pairs of the plurality of regularly occurring time periods. Determine at least one aggregate similarity value for regularly occurring time periods. Determine a similarity matrix based on the at least one determined aggregate similarity value for each pair of regularly occurring time periods. Determine one or more clusters of similar regularly occurring time periods based upon analysis of the determined similarity matrix between the plurality of regularly occurring time periods. Provide a tangible output identifying the determined one or more clusters of similar regularly occurring time periods for the plurality of regularly occurring time periods.

The invention relates to the technical field of urban intelligent traffic, in particular to a congestion alarm method based on visual large model secondary verification, which comprises the following steps: periodically acquiring traffic parameters of each road section of a target road and a congestion alarm state of a previous period; according to the traffic parameters and the congestion alarm state of the previous period, performing preliminary congestion state identification, and generating a congestion alarm alternative set; based on historical false alarm information and historical disposal information of each road section of the target road, screening and priority ranking are carried out on the congestion alarm alternative set, and a congestion alarm to-be-analyzed list after priority ranking is generated; acquiring a real-time video stream corresponding to each road section in the congestion alarm to-be-analyzed list, inputting the real-time video streams into a preset visual large model, and acquiring a false alarm set and a final congestion alarm set; and performing congestion alarm according to the final congestion alarm set and a preset alarm rule. According to the invention, the accuracy and reliability of congestion alarm are obviously improved.

The invention discloses a supply chain auditing risk monitoring and early warning system based on artificial intelligence, which relates to the technical field of supply chain auditing and comprises the following steps of: packaging a multi-service system receipt change into an event packet containing a source identifier, an event type, a service primary key set, event time, lake entering time and an aperture version; idempotent duplicate removal is additionally written into an event account book, and an alarm entity is generated; when an alarm is about to be bound, a consistent slice definition is generated, a pointer type snapshot or a materialized snapshot and a seal object are formed, a verification value is calculated in a normalized and serialized mode, and two-stage submission binding is carried out to form an evidence packet; the evidence integrity is calculated according to a risk type template, and the double-threshold alarm gate state machine migrates an alarm state and distributes an evidence repair task; and performing deterministic playback according to the evidence packet and outputting a difference attribution report for closed-loop processing, thereby realizing reproducible and verifiable alarm, supporting third-party verification, reducing false alarm outgoing, and shortening re-checking positioning time and proof.

The invention relates to the technical field of lamp bead active heat dissipation, and discloses an LED lamp bead active heat dissipation system and method, and the method comprises the steps: injecting a micro-current pulse into a PN junction of an LED chip through a constant current source, collecting a forward voltage drop sampling value, and collecting a substrate temperature sampling value; calculating a junction temperature value based on the forward voltage drop sampling value, and calculating a junction-to-case temperature difference value and a substrate temperature rise rate value; setting an early-warning state identifier when the junction-to-case temperature difference value exceeds an early-warning threshold value and the duration meets a preset duration, setting an alarm state identifier when the junction-to-case temperature difference value exceeds an alarm threshold value, and shielding thermal runaway detection when the substrate temperature rise rate value exceeds an environment thermal shock threshold value and the junction-to-case temperature difference value is smaller than an environment exclusion threshold value; when the state identification is the normal state identification, calculating a first compensation current value; and when the state identification is the early warning state identification, a second compensation current value is calculated, and when the state identification is the alarm state identification, an alarm current limiting value is calculated, so that the working stability and long-term reliability of the LED in a wide temperature range are ensured.

The utility model discloses a crane motor temperature alarm circuit, which relates to the technical field of motor temperature alarm, and comprises a temperature detection module for detecting the temperature of a crane motor and calculating the temperature change degree in a short time when the temperature reaches a set temperature, when the temperature difference is larger than a set temperature difference threshold value, there is an over-temperature risk, at the moment, the alarm control module carries out light alarm, the over-temperature detection module carries out over-temperature detection, and when the temperature is over-temperature, the alarm control module carries out sound alarm. When the crane motor is over-temperature and the temperature difference is larger than a set temperature difference threshold value, sound alarm is maintained, the alarm control module transmits the alarm state to the monitoring terminal in a wireless mode, the crane motor temperature alarm circuit can conduct over-temperature alarm in advance, the over-temperature risk is reduced, alarm with different effects can be conducted according to different temperature states, and the safety of the crane motor is improved. The alarm effect is improved.

The invention relates to the technical field of fire sensing, and discloses an electrical fire state sensing system and method for a low-voltage distribution line, and the method comprises the steps: setting a first monitoring point at a wire inlet end of a distribution loop, setting a second monitoring point at a load access end, setting a differential protection region, and calculating a first on-resistance; performing moving average processing on the first on-resistance to obtain a second on-resistance, calculating a first reference on-resistance according to the second on-resistance, and performing temperature correction on the first reference on-resistance to obtain a second reference on-resistance; according to the method, the on-resistance deviation rate, the on-resistance growth rate and the on-resistance fluctuation coefficient are calculated, whether the on-resistance is in an early warning state, an alarm state or a dangerous state is judged, the on-resistance of the section is calculated in real time according to the ratio of the differential voltage drop to the current, and the technical problem that a fault section cannot be accurately positioned through traditional whole-line monitoring is solved.

The application discloses a body temperature monitoring system and method based on target detection, which collects information such as body temperature, air temperature and forehead distance of a target object by a single-chip microcomputer, and obtains the actual forehead temperature of the target object through a correction curve by the single-chip microcomputer. The single-chip microcomputer sends the forehead temperature and air temperature and other information to a computer. A fever alarm threshold is set through air temperature and other parameters. The computer runs target detection software, detects a face position through an image acquisition device, and sends position, alarm state and other information to the single-chip microcomputer through a PID algorithm to drive a cloud platform to track the target object to be measured. Through server forwarding and linkage with terminal equipment, information sharing and control are realized. The application can quickly and accurately measure body temperature, accurately obtain an alarm temperature, and greatly improve the detection rate of fever personnel. Linkage with terminal equipment basically realizes unattended operation, and improves personnel scheduling efficiency.

The invention discloses a structure angle and vibration intelligent detection method based on an intelligent sensor, and belongs to the technical field of sensor data processing, and the method comprises the following steps: S1, presetting an inclination angle and vibration data collection frequency, presetting inclination angle and vibration abnormity alarm conditions, and presetting an inclination angle and vibration data reporting period; s2, inclination angle values and acceleration values of the X axis, the Y axis and the Z axis are collected; s3, filtering and denoising are conducted on the collected three-axis dip angle values and acceleration values, and the angle change rate and the acceleration change amount are calculated; s4, whether angle and vibration abnormity exists or not is judged; s5, reporting; according to the invention, the detection precision can be improved, and the detection response time can be prolonged; meanwhile, the uploading period is divided into a non-alarm state and an alarm state, so that the endurance time is prolonged; meanwhile, the threshold value can be dynamically configured, and the multi-scene monitoring requirements of bridges, landslides and the like are met.

The present application relates to the technical field of mobile energy storage device operation management, and specifically discloses a mobile energy storage device operation power control method, system, device and medium, the method comprising: obtaining the operation trajectory and alarm state sent by the battery management system and the converter after the mobile energy storage device transits; forming a transit operation segment corresponding to a task window according to modules and battery clusters; and sequentially calculating the remaining abnormal severity posterior distribution, the protection evolution risk sequence for power boundary contraction coefficient calculation, the dynamic power boundary, the boundary control instruction and the new operation trajectory as the input of the new transit operation segment for iteration. The present application establishes an intermediate random representation mechanism capable of representing the "difficulty of deviating from the post-regression stability and the continuous evolution relationship of the protection action", so that the protection evolution risk can be reliably determined, and a dynamic power boundary closed-loop control that does not swing with single backfall is formed.

The invention provides a method for deploying a plant-level alarm system, which comprises the following steps that: a whole-plant-level plant model is constructed according to a plant department architecture or a business object node, the plant model comprises a plurality of levels, each level at least comprises one sub-model, and the sub-models of different levels have a mapping relationship; importing instrument equipment data and binding the instrument equipment data to the corresponding sub-models; newly establishing instrument position numbers and binding the instrument position numbers to the corresponding sub-models and instrument equipment, wherein the instrument position numbers and the collector position numbers are in one-to-one correspondence; and configuring an alarm platform based on the configuration, establishing a whole plant appearance map, and binding each component with a corresponding sub-model, instrument equipment and an instrument position number. According to the technical scheme, by establishing a core concept of'factory equipment objects', alarm information of a plurality of'instrument position numbers' bound with the'factory equipment objects' is aggregated upwards, so that the equipment becomes a comprehensive alarm state indicator, and an operator can quickly master the overall operation health condition of the equipment from a macroscopic level.

The invention relates to the technical field of nuclear power stations, in particular to a nuclear power equipment state monitoring method and device, electronic equipment and a storage medium. According to the nuclear power equipment state monitoring method provided by the embodiment of the invention, nuclear power equipment configuration parameters and sensing equipment configuration parameters corresponding to target nuclear power equipment need to be firstly acquired; in response to the operation state of the target nuclear power equipment, carrying out real-time data acquisition on the target nuclear power equipment and the associated sensing equipment to obtain monitoring acquisition data; performing real-time operation state evaluation on the target nuclear power equipment according to the monitoring acquisition data to obtain equipment state evaluation information; determining that the target nuclear power equipment is in a normal operation state in response to the condition that the equipment state evaluation information does not meet the alarm state defining condition; and determining that the target nuclear power equipment is in an alarm operation state in response to the condition that the equipment state evaluation information meets the alarm state defining condition. The method can ensure higher accuracy and reliability in the process of monitoring the state of the nuclear power equipment.

A method for managing a manufacturing network includes obtaining historical alarm data indicating alarm status information for each of a plurality of alarms during a historical time period. At least one of the plurality of alarms is associated with a target machine in the manufacturing network, and at least one other of the plurality of alarms is associated with at least one other machine upstream or downstream of the target machine in the manufacturing network. The method further includes executing a trained machine learning model using the historical alarm data to generate downtime predictions for the target machine during future time intervals. The trained machine learning model takes the historical alarm data during the historical time period as input to generate the downtime predictions. The downtime predictions are provided to facilitate the management of the manufacturing network.

The invention relates to a new energy frequency support remote measurement and control device and method, and the device comprises an acquisition assembly which is used for collecting three-phase voltage and current analog quantity signals, and calculating the real-time active power and power grid frequency; the logic component is used for processing the analog quantity data acquired by the acquisition component and carrying out dynamic performance evaluation calculation of one-time frequency modulation and inertia response; the communication component is used for receiving a test instruction issued by a remote scheduling master station and remote signaling and telemetering data sent by the primary frequency modulation device, forwarding the test instruction and the remote signaling and telemetering data to the logic component, receiving a control instruction of the logic component and sending the control instruction to the frequency generator; the frequency generator is a programmable frequency signal source, and the output end of the frequency generator is connected to a frequency measurement loop of a primary frequency modulation device in the new energy station; the man-machine assembly is used for outputting alarm state data and working state information of each assembly; and the power supply assembly is used for providing a working power supply for each assembly. The method can be widely applied to the technical field of new energy power generation grid-connected control.

The utility model discloses a detachable trailer alarm device, it includes anti -drop rope, insulating pin, control box, metal spring piece, audible -visual warning device and extension electric wire, be equipped with the insertion cavity that the insulating pin inserts on the control box, two metal spring pieces symmetry both sides position of insertion cavity set in the control box, and can be together and fold and resist the contact connection and form the loop, the anti -drop rope is connected with one end of the insulating pin, the other end of the insulating pin inserts in the insertion cavity, and can push away two metal spring pieces and form open circuit. The utility model structure adopts the split type, separates audible -visual warning device and control box, and audible -visual warning device can be installed in the position of easy discovery or conspicuousness, effectively solve the problem that the alarm state is not easy to be discovered because of the installation position limitation of traditional integral type structure, can effectively remind the abnormal state of trailer driver and surrounding personnel, avoid the emergence of unpredictable risk.

The application provides a security protection method and related equipment, which is applied to a space including at least two subspaces. The subspaces have alarm states, and the alarm states include alarm-off states and alarm-on states. The method receives access monitoring information, determines whether a user entering the space is a trusted user according to the access monitoring information, adjusts the alarm state of an access subspace to the alarm-off state if the user is the trusted user, receives monitoring information formed by a monitoring device of the access subspace, determines that the user is in the access subspace according to the monitoring information, determines a connected subspace having connectivity with the access subspace according to the access subspace as a current subspace at the moment and a preset connectivity relationship, adjusts the alarm state of the connected subspace to the alarm-off state, determines a movement track of the user according to the monitoring information, and adjusts the alarm state of a corresponding subspace according to the movement track, so as to realize automatic protection.

The invention provides a distribution network single-phase earth fault positioning system and method based on multi-source data fusion, and relates to the technical field of distribution network fault positioning. In the system, a data acquisition module is used for acquiring all recording files and all alarm signals when a single-phase earth fault occurs in the power distribution network; the alarm signal analysis module is used for obtaining a first fault positioning result according to the topological structure of the power distribution network and the alarm level and the alarm state corresponding to each alarm signal; the wave recording file analysis module is used for extracting transient characteristics and steady-state characteristics of each wave recording file, and obtaining a second fault positioning result according to each transient characteristic and each steady-state characteristic; and the fusion positioning module is used for determining a final fault positioning result according to the first fault positioning result and the second fault positioning result. The method can improve the positioning efficiency and accuracy of the single-phase earth fault of the power distribution network.

The invention provides a vehicle overload control processing method and system and a storage medium, and the method comprises the steps: obtaining multi-source time sequence data from a plurality of overload control devices, and carrying out the time-space alignment processing of the multi-source time sequence data, and obtaining aligned time sequence data; key features are extracted from the aligned time sequence data to obtain a multi-source feature set, and a data fusion algorithm is adopted to perform multi-source data fusion processing on the multi-source feature set to obtain fused vehicle information; and performing contradiction detection on the fused vehicle information to obtain a contradiction detection result and an alarm state, and generating and outputting an over-value judgment result based on the contradiction detection result and the alarm state. According to the method, the vehicle overrun treatment work can be efficiently and accurately completed.

1. The name of the design product: the graphical user interface of the device monitoring display of the electronic device. 2. The use of the design product: for an electronic device. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. The electronic device of the design is of conventional design, and other views of the design are omitted. 6. The use of the graphical user interface: the front view is the display and interactive interface of the device monitoring, which is used to display the summary information, running state and alarm state of the battery stack, and the cluster summary information of each cluster in the stack. 7. The human-computer interaction mode of the graphical user interface: the stack summary information is displayed above the front view, the cluster summary information of each cluster in the stack is displayed below the front view, the cabin ownership of each cluster is displayed on the side of the cluster number, and is displayed in the form of a topology diagram; when the cluster is in a grid-connected state, the connection line and the battery pack outer frame are displayed in blue; when the cluster has an alarm, the battery pack outer frame is displayed in the corresponding alarm color (red is the most serious, orange is medium, and yellow is light); when the cluster is in an off-grid state, it is displayed as an interface change state diagram.

This application relates to the field of temperature control in energy storage systems, providing a temperature control method, system, terminal, and medium. The method includes: monitoring the temperature of multiple energy storage units within the energy storage system to obtain the highest and lowest temperature values ​​corresponding to each energy storage unit; comparing the highest and lowest temperature values ​​with set temperature control reference data of a temperature regulating device to obtain a comparison result; and adjusting the temperature regulating device to a target operating state based on the comparison result, the target operating state including a shutdown state, an alarm state, and a temperature control adjustment state. This solution can improve temperature control accuracy, reduce power consumption during temperature control, and increase battery life.

The invention provides a special communication method for a manual fire alarm button capable of giving an alarm in real time, which comprises the following steps of: connecting a fire alarm host as a communication master node with a plurality of manual fire alarm button communication slave nodes through a bus to form a CAN (Controller Area Network) communication ring network; the communication master node of the fire alarm host sends an inspection message to the communication slave node on the bus through the CAN bus, and the communication slave node immediately uploads an alarm message at the current moment after receiving the inspection message; the communication master node of the fire alarm host sends a command message to the communication slave node on the bus through the CAN bus, and after receiving the command message, the communication slave node immediately executes corresponding operation according to the command and replies the message; the plurality of manual fire alarm button communication slave nodes can periodically and actively upload an alarm message at the current moment; the plurality of manual fire alarm button communication slave nodes can immediately and actively upload an alarm message at the current moment when detecting an alarm state that a key is pressed down.