32results about How to "Realize alarm" patented technology

The invention discloses an auxiliary driving obstacle detection method based on binocular stereoscopic vision, and belongs to the technical field of environmental perception. The method mainly comprises the steps of synchronously collecting two frame images output by two CCD cameras respectively, wherein the two CCD cameras are arranged right ahead of a vehicle; carrying out distortion correction on the collected images; calling a stereo matching sub-process to carry out stereo matching on the two corrected images to obtain the corresponding relations of all pixel points; respectively calculating the projection matrixes of the two CCD cameras according to camera parameters; finding all corresponding pixel point pairs in the two corrected images; carrying out scene three-dimensional reconstruction on the images collected in real time according to the projection matrixes to obtain the space coordinate of an obstacle scene, screening obstacle areas, and outputting an obstacle position information image. The method achieves the function of automatically detecting road obstacles in the static or advancing process of the vehicle, and has the advantages of being capable of achieving the unattended operation and high in detection result precision.

The invention relates to a secondary equipment state online monitoring method. The method includes firstly acquiring data required to monitor of a process level and a bay level in a safe I area; sending the data required to monitor of the process level in the safe I area to a bay level IED to process, and then uploading the data required to monitor of the process level and the bay level to a monitoring master; transmitting self-detecting information of a data server and data network device of a station level to the monitoring master, and allowing the monitoring master to acquire own self-detecting information; and allowing a comprehensive application server to read at regular intervals and display the secondary equipment information of the safe I area in real time. By the aid of the method, information including self-detecting information, operating state information, alarming information and timing information of all secondary equipment of the station level, process level and bay level of an intelligent substation can be monitored, and comprehensive display and alarm of the secondary equipment can be realized; by the aid of the technical support provided by the method, producing efficiency can be improved, equipment shutdown times can be reduced, labor cost can be saved, and regular inspections and detections for secondary systems can be reduced or eliminated.

The invention relates to a digital movie theater device monitoring and maintenance system including a client, a monitoring server, a data exchange device, a management switch and a plurality of projection units. Each of the projection unit comprises an auditorium switch and a plurality of projection devices connected thereto. The auditorium switch is connected with the management switch. The client is connected with the monitoring server through the internet. The monitoring server, the data exchange device and the management switch are connected one by one. The system can monitor, maintain and process the work status of projection devices of a digital movie theater, solves the problem that digital projection device faults are difficult to find and process currently, can give early warning or warning in time, eliminates a problem in the bud, can quickly find the problem and deal with the problem when the problem happens, largely reduces the device fault time, and thus improves the operation efficiency and benefits.

The invention discloses a laser coding method for automatically positioning products, comprising a workbench, on which a conveyor belt and a control assembly are arranged, a bracket platform is arranged above the conveyor belt, and the lower bottom surface of the bracket platform is sequentially arranged along the conveying direction of the conveyor belt for positioning. component, laser generator and detection component, a display component is arranged above the support platform, and the positioning component, laser generator, detection component, display component and conveyor belt are respectively connected with the control component. The invention solves the problem in the prior art that the position of the workpiece cannot be positioned during coding and marking, resulting in missing or crooked marking, and provides a laser marking method for automatically positioning products. When it is applied, the laser head is first positioned by visual positioning. Accurately positioned at the marked place, only one person is required to complete the work of marking and testing. You can mark or code on the device. After marking or coding is completed, the device will immediately use visual inspection to verify the mark. or code is correct.

The invention discloses an intelligent monitoring system used for animal feeding. The system comprises a control device, a monitoring detection device, a radio frequency identification device, an alertor and a data memory. The monitoring detection device comprises a monitoring camera and an infrared thermal imaging instrument. The radio frequency identification device comprises an RFID reader and RFID tags arranged on work personnel and animals. The control device comprises a processing unit, a clock module and a communication module. The processing unit is connected to the clock module, the communication module, the monitoring detection device, the RFID reader, the alertor and the data memory respectively. The invention also discloses an intelligent monitoring alarm method. In the invention, animal feeding is comprehensively and intelligently managed; manpower cost is saved and environment changes and an emergent condition can be responded rapidly; and through using a radio frequency identification technology and combining the monitoring detection device, persons and different animals can be accurately distinguished, fireproof and anti-invasion monitoring and alarm can be effectively realized, and life and property losses are effectively reduced.

The invention relates to a system and a method for preventing a full-intelligent computer display screen from being illegally shot by a mobile phone. The system mainly comprises a video monitoring sampling module, a main server and an alarm screen locking module. In the video monitoring and sampling module, a micro camera monitors the working state of an operator in front of a computer display screen in real time, samples in real time to obtain a video image, stores the video image in a video memory and outputs the video image; in the main server, an image processing module receives a real-time video image and carries out image processing, a mobile phone detection module receives an image processing result and carries out mobile phone detection, and a mobile phone identification module receives a mobile phone detection result, carries out mobile phone shape identification and outputs a monitoring identification state; it is determined that mobile phone shapes are stored in the criterion library, and the mobile phone shapes are obtained through learning and training of mobile phone images in video storage; in the alarm screen locking module, the alarm module receives the monitoringidentification state, and if the monitoring identification state is that a mobile phone exists, the alarm module sends an alarm signal; and the screen locking module receives the alarm signal and performs screen locking processing on the operating system.

The embodiment of the invention discloses a power grid intelligent monitoring alarm method and a device. The method comprises the following steps that: through a thermal imaging module by a first predetermined interval, a visible light imaging module carries out timed shooting on a monitored object with a second predetermined interval; the image recognition technology is used to analyze a shot image, and whether an abnormal condition exists or not is judged; and an alarm is carried out when the abnormal condition exists. Thus, through combining visible light imaging and thermal imaging, the 7*24 all-weather monitoring can be realized, through using the image recognition technology, the judgment and alarm of an abnormal condition can be automatically realized.

The invention provides a firefighting truck emergency rescue visible command system comprising a firefighting truck monitoring system that comprises a camera and an image processing unit which are connected with each other; a central processing unit; a 4G network system; a server; control display systems arranged at the tail part and the cab of a firefighting truck for achieving the operation of firefighters in the cab and the candidate operation of the firefighters outside the truck, wherein the control display system adopts a liquid crystal control screen and comprises two external display expansion interfaces used for receiving control scheduling commands of a central control console; and a client, wherein the firefighting truck monitoring system is connected with the central processingunit in a bidirectional manner via a bus, and the firefighting truck monitoring system is wirelessly connected with the control display system via the 4G network system. The invention also provides acorresponding emergency rescue visible command method, so that an automatic alarm and automatic reception of the alarm are achieved; and meanwhile, the data of a rescue site is transmitted to a computer terminal of a firefighting office, so that the background interface display is achieved, and thus the data of a fire scene is reproduced, and remote scheduling and commanding are achieved.

The invention provides a fire pool or water tank water-level abnormality alarming method and system. The method includes the steps: a water-level value of a fire pool or a water tank is collected; when the water-level value is less than a standard water-level value, according to the degree by which the water-level value is less than the standard water-level value, an alarm level in a water-level dimension is determined, and according to the duration time for which the water-level value of the fire pool or the water tank is continuously less than the standard water-level value, an alarm level in a time dimension is determined; according the alarm level in the water-level dimension and the alarm level in the time dimension, a final alarm level is determined, and according to an alarm strategy corresponding to the finally determined alarm level, alarm is conducted. By the adoption of the method and the system, monitoring and alarming of water levels in the fire pool or the water tank are achieved, and enough water supply volume in the fire pool or the water tank can be guaranteed. Besides, a multi-dimension and multi-level alarm mode is achieved according to the method, abnormality degree of the water levels can be well reflected, and the method and system has a better alarming effect.

The invention discloses a brushless excitation-type generator set rotation diode detection system. The system comprises a large shaft gap detection coil, a first current induction detection coil, a second current induction detection coil and a state detection module. The large shaft gap detection coil, the first current induction detection coil and the second current induction detection coil are arranged in a periphery of a static part of a generator set respectively. The state detection module is used for detecting whether a rotation diode branch has a fault according to induction signals of the large shaft gap detection coil, the first current induction detection coil and the second current induction detection coil and carrying out alarm when the fault is discovered. The invention also discloses a brushless excitation-type generator set rotation diode detection method. In the invention, a sensor does not need to be additionally installed; through using a rotation rectification excitation type generator set, arrangement positions of the detection coils depend on a generator body structure; and positioning, alarm, fault and other development functions can be realized.

The invention provides a parking area identification system and method, a detection system and method, and a security system. The parking area identification system comprises an image acquisition unitwhich is used for obtaining an image of a standard parking area with drawn traffic markings and transmitting the image to an intelligent visual processing unit and an intelligent terminal; the intelligent visual processing unit which is connected with the image acquisition unit and is used for identifying and detecting the position coordinates of the traffic markings according to the received image and drawing corresponding position coordinates on the images through marks to obtain a processed image; and an intelligent terminal which is connected with the image acquisition unit and the intelligent visual processing unit and is used for selectively feeding back to the intelligent visual processing unit or obtaining the reference coordinates of the parking area according to the comparison result of the received processed image and the image of the standard parking area with the drawn traffic markings acquired by the image acquisition unit. According to the scheme, the constraint systemand the implementation method thereof can be provided, constraint conditions are reduced, and meanwhile, the operation intellectualization is improved.

A current voltage transformer secondary neutral grounding current acquisition device provided by the present invention comprises a first branch, a second branch and a voltage source, and the first branch comprises a current inductor, a first relay and a second relay. The current inductor is used to sense a grounding line current and generate a current signal, the first relay is used to close a first normally open contact when the sensed current is greater than a preset threshold value, and the first branch is conducted with the voltage source. The second relay is used to close a second normally open contact when the first relay is closed, and the second branch comprises a third relay and an alarm part. The third relay is used to close a third normally open contact when the second relay is closed, the second branch is conducted with the voltage source, and the alarm part is used to output an alarm signal when the second branch is conducted with the voltage source. By implementing the current voltage transformer secondary neutral grounding current acquisition device of the present invention, the current of a switch place can be acquired timely, a current voltage transformer secondary grounding fault can be determined effectively, the potential safety hazards can be noticed and eliminated timely, and the safe and stable operation of a power grid is guaranteed.

The invention provides a construction safety violation identification method and system based on a work ticket. The method comprises the following steps: obtaining construction work ticket data associated with a video acquisition device or an image acquisition device; obtaining violation data according to the collected video data or image data and a preset recognition model; comparing the violation data with safety risk data in the construction work ticket data to obtain a violation identification result; according to the invention, the violation identification efficiency is improved, and on-site violation behavior automatic identification and active early warning based on image or video intelligent analysis and identification and work tickets are realized under the condition of resource consumption as little as possible.

The invention provides an artificial intelligence-based method and system applied to safety production, and relates to the field of artificial intelligence. The artificial intelligence-based method applied to safety production comprises the following steps: in preset production environment monitoring and maintenance, carrying out data collection and state monitoring on a monitoring main body so as to obtain image information; performing feature extraction according to the image information, identifying whether a preset condition is met, and performing feedback according to an identification result; and inputting a feedback result into a database, continuously perfecting the database to enable an artificial intelligence algorithm to predict a possible situation, and carrying out event processing. The method can track a monitoring main body, remove the content irrelevant to the monitoring main body, and analyze the motion trail according to the image difference to carry out motion pre-judgment, thereby achieving the purpose of intelligent monitoring and alarm. In addition, the invention also provides an artificial intelligence-based system applied to safety production.

The invention discloses a data ferrying system and method. The method comprises the steps that a flow probe obtains network flow data of an external network; the log collector collects a network security log of an external network, and analyzes the network security log according to a log analysis rule; the external network server converts the network flow data and the analyzed network security log into a text format and encrypts the text format; the isolation device transmits the encrypted network traffic data in the text format and the network security log to an intranet server; the intranet server decrypts the encrypted network traffic data and the network security log in the text format; and the situation awareness and security operation platform performs network security analysis and alarm of the extranet according to the decrypted network traffic data and the network security log, so that secure transmission of the extranet traffic data to the intranet is realized, potential safety hazards of the extranet traffic data can be pre-warned, and the dual requirements of intranet network security and flow data transmission are met.

The invention provides a safety transfusion device with an automatic needle withdrawing function. The safety transfusion device comprises a control box, a weighing sensor and a needle withdrawing mechanism. A signal conditioning circuit, an analog-digital conversion circuit, a microcontroller, a wireless communication module and a motor driving circuit are arranged inside the control box; the needle withdrawing mechanism comprises a shell, a driving steering engine, a slider and a stay. The safety transfusion device has the advantages that the driving steering engine can work under the control of the microcontroller via the motor driving circuit when coming of the end of the transfusion quantities is detected by the weighing sensor, the slider can be pulled by the stay and can be dragged to move along a slide rail, a needle can be clamped by an elastic chuck to move along with the slider, accordingly, a syringe needle can be withdrawn out of a human body, a transfusion system can have an automatic needle withdrawing function under unattended conditions, and accidents can be prevented.

The invention relates to a computer room direct-current power source fire protection system with a remote alarm function and belongs to the wireless alarm technical field. With the system of the invention adopted, prevention of fires caused by arcing and sparking due to poor contact and short-circuiting of an equipment power supply voltage system can be realized. According to the computer room direct-current power source fire protection system of the invention, the control signal input and acquisition signal output end of an infrared camera is connected with the camera control signal output and acquisition signal input end of a controller; the signal input and output end of a wireless communication circuit is connected with the wireless signal input and output end of the controller; a sampling resistor R is connected in series between a relay and computer room server equipment; two ends of the sampling resistor are connected with two voltage signal input ends of a voltage comparator; the voltage signal output end of the voltage comparator is connected with the signal input end of a logic operation unit through an isolation coupling unit; the signal output end of the logic operation unit is connected with the signal input end of an output alarm module; and the abnormal signal output end of the output alarm module is connected with the alarm signal input end of the controller. The computer room direct-current power source fire protection system of the invention is suitable for computer rooms.

The invention relates to a motor vehicle paint slag, filter paper and cloth sensing system based on precise collection, and belongs to the field of the Internet of Things. The system comprises a motorvehicle paint slag, filter paper and cloth classification and collection supervision system, a motor vehicle paint slag, filter paper and cloth conveying loading and unloading supervision system, anda motor vehicle paint slag, filter paper and cloth storage supervision system, wherein the motor vehicle paint slag, filter paper and cloth classification and collection supervision system, the motorvehicle paint slag, filter paper and cloth conveying loading and unloading supervision system and the motor vehicle paint slag, filter paper and cloth storage supervision system are respectively usedfor the classification and collection, conveying loading and unloading and the storage supervision of the motor vehicle paint slag, filter paper and cloth. At the stages of the classification and collection, conveying loading and unloading and storage of the motor vehicle paint slag, filter paper and cloth, a front end collector is used for collecting the environment temperature, humidity, ventilation flow, liquid flow, pressure intensity, illuminance, weight, pH value, density and liquid level of the motor vehicle paint slag, filter paper and cloth, thereby achieving the real-time monitoringand warning in a flow process.

The invention discloses a laser marking coding method based on a visual sensor. A worktable is included, a conveying belt and a control assembly are arranged on the worktable, a support table is arranged above the conveying belt, a laser generator and the visual sensor are sequentially arranged below the support table in the conveying direction of the conveying belt, a display assembly is arrangedabove the support table, and the laser generator, the visual sensor, the display assembly and the conveying belt are connected with the control assembly. The problems that in the prior art, the stepof whether coding marking information is detected to be correct or not does not exist, related persons need to be prepared during detection, and the detection efficiency is low are solved, through thelaser marking coding method based on the visual sensor, during application, only one person can finish coding and detection work, marking or coding on the equipment is achieved, and after marking orcoding is finished, whether marking or coding is correct or not is verified through the visual detection manner.

The invention belongs to the technical field of power equipment defect detection methods, and particularly relates to a double-column horizontal opening type disconnecting switch closing machinery defect diagnosis method. The method comprises the following steps: firstly, constructing a closing travel curve according to a normally-operated double-column horizontal open type isolation switch to obtain corresponding data of the normal travel curve; and drawing an actual measurement closing stroke curve in the closing process of the to-be-measured double-column horizontal opening type isolation switch. Fault identification and detection are carried out according to the difference between an actual measurement curve and a normal curve; according to the invention, rapid and effective determination of various mechanical defects of the double-column horizontal opening type isolation switch is realized by using a digital quantification method; the improvement of the diagnosis efficiency and accuracy of the mechanical defects of the isolation switch is facilitated; operation reliability of the isolation switch is improved, a design basis is provided for realization of digital intelligent monitoring, automatic monitoring and alarm can be conveniently realized through utilizing equipment such as a sensor based on the method and the criterion rule, industrial implementation is facilitated,and the method has good application prospects.

The invention relates to a motor vehicle exhaust cleaning catalyst supervision system based on the IOT (Internet of Things), and belongs to the IOT field. The system comprises an exhaust cleaning catalyst classification and collection supervision system, an exhaust cleaning catalyst conveying loading and unloading supervision system and an exhaust cleaning catalyst storage supervision system, wherein the exhaust cleaning catalyst classification and collection supervision system, the exhaust cleaning catalyst conveying loading and unloading supervision system and the exhaust cleaning catalyst storage supervision system are used for the classification and collection, conveying loading and unloading and storage supervision of exhaust cleaning catalyst. At the stages of the classification andcollection, conveying loading and unloading and storage of the exhaust cleaning catalyst, a front end collector is used for collecting the environment temperature, humidity, ventilation flow, liquid flow, pressure intensity, illuminance, weight, pH value, density and liquid level of the exhaust cleaning catalyst, thereby achieving the real-time monitoring and warning in a flow process.

The invention relates to a motor vehicle unexploded security airbag system supervisory system based on the Internet of Things, and belongs to the field of the Internet of Things. The system comprisesa motor vehicle unexploded security airbag classified collection supervisory system, a motor vehicle unexploded security airbag transport loading and unloading supervisory system and a motor vehicle unexploded security airbag storage supervisory system, used for supervising classified collection, transport loading and unloading and storage of unexploded security airbags. According to the system provided by the invention, during classified collection, transport loading and unloading and storage periods of the motor unexploded security airbags, parameters such as environment temperature, humidity, ventilation flow, liquid flow, intensity of pressure, intensity of illumination, weight, pH value and density of the motor vehicle unexploded security airbags are collected by a front-end collector, and thus the real-time monitoring and warning in the processes are achieved.

The invention provides an intelligent monitoring method and system for indoor inspection service quality, and the method comprises the steps of collecting the original data of an inspection track through a sensor of a mobile phone without depending on an external network and during a business operation process; through the data conversion and the feature mapping, mapping the data to a new feature space, so that the network and communication problems of a hospital in machine room and basement inspection are solved. The data acquisition, storage and processing are realized through a big data mode to form a business sample library, aiming at the virtual track of the specific service, the data clustering is carried out and a standard track model library of the service is established, and a basis is formed for the subsequent service judgment. After the specific single service is completed, the service quality analysis is automatically carried out in time, and when the data of the service is mapped to the virtual track space and is greatly different from the standard model, an alarm is automatically given in the system, and the service is monitored.

The invention discloses a health data statistical and monitoring device. The device comprises wearable equipment, an intranet host and an electronic storage device for physical examination data. The wearable equipment is used for detecting sign data such as blood oxygen value, blood pressure value, heart rate value, weight value, BMI index, exercise amount and calorie consumption of a user; the wearable equipment is in data communication with a server side through a data gateway; and the server side is used for analyzing the sign data of the user and providing data monitoring and data analysis. According to the invention, illness state prediction is realized based on the wearable equipment and centralized collection of physical examination data, and meanwhile, the health state of the useris predicted based on the physical sign data, so grading of risks is realized, and prompting and warming to a wearer are realized; and a control program and a control method are set, the operation authority is obtained by acquiring the agreement of the user, the use operation authority of entertainment equipment is obtained through the amount of exercise, and then, auxiliary fitness effect is achieved.

The invention discloses an auxiliary driving obstacle detection method based on binocular stereoscopic vision, and belongs to the technical field of environmental perception. The method mainly comprises the steps of synchronously collecting two frame images output by two CCD cameras respectively, wherein the two CCD cameras are arranged right ahead of a vehicle; carrying out distortion correction on the collected images; calling a stereo matching sub-process to carry out stereo matching on the two corrected images to obtain the corresponding relations of all pixel points; respectively calculating the projection matrixes of the two CCD cameras according to camera parameters; finding all corresponding pixel point pairs in the two corrected images; carrying out scene three-dimensional reconstruction on the images collected in real time according to the projection matrixes to obtain the space coordinate of an obstacle scene, screening obstacle areas, and outputting an obstacle position information image. The method achieves the function of automatically detecting road obstacles in the static or advancing process of the vehicle, and has the advantages of being capable of achieving the unattended operation and high in detection result precision.

The invention relates to a motor vehicle tail gas purifying catalyst sensing system based on precise collection, and belongs to the field of Internet of Things. The system comprises a tail gas purifying catalyst separate collection supervision system, a tail gas purifying catalyst transportation, loading and unloading supervision system and a tail gas purifying catalyst storage supervision system,and is used for supervising the separate collection, transportation, loading and unloading and storage of the tail gas purifying catalyst. According to the motor vehicle tail gas purifying catalyst sensing system based on the precise collection, in the stages of the separate collection, transportation, loading and unloading and storage of the tail gas purifying catalyst, the environment temperature, humidity, vent flow, liquid flow, pressure intensity, illumination intensity, weight, pH value, density, liquid level and other parameters of the tail gas purifying catalyst are collected througha front-end collector, and the real-time monitoring and warning in the process are achieved.

The invention discloses a thermostatic disinfection cabinet with alarming capacity. The thermostatic disinfection cabinet is characterized in that a rotating storage plate (2) is arranged inside a tank (1) and capable of forming a horizontal state to equally divide the inside of the tank (1) into a first part and a second part, and also capable of forming a separated state for storage; an openingis formed in one side of the tank (1), a first cover (3) and a second cover (4) are hinged to the tank (1) and can correspond to the opening to seal or open the first part and the second part respectively; a first lock (5) is arranged on the first cover (3), a second lock (6) is arranged on the second cover (4), and a key can unlock the first lock (5) and the second lock (6), is fixed on the firstlock (5) and can be withdrawn when an opening of the first part is sealed by the first cover (3) and the first lock (5) is locked. The disinfection cabinet can perform alarm when the temperature is too high.

The invention discloses a smart community equipment state monitoring method, which belongs to the technical field of equipment monitoring. The method comprises the following steps that S1, community terminal service equipment is connected to a weak current system through an HTTP internal protocol; S2, the weak current system is connected with the monitoring system through a VPN tunnel; S3, the monitoring system automatically queries the state of the community equipment through an equipment query interface of the weak current system, and converts the state of the equipment according to different weak current systems, so that the state of the equipment is unified; S4, a weak current system server is connected for management through a remote connector embedded in the monitoring system; S5, the monitoring system performs timing synchronization on the equipment information and determines whether the equipment state is changed or not; and S6, after the monitoring system automatically detects that the equipment is in the offline state, the specified property service staff is notified according to the configured alarm mode.

The invention discloses an information system for dynamic space-time environment quality monitoring based on a multi-source radar, and relates to the technical field of atmospheric environment protection. According to the invention, the pollutant automatic monitoring and identification module obtains pollutant components and meteorological factors in the atmosphere collected by each site for real-time 3D observation; s-shaped cutting is carried out on the original observation data, binarization processing and morphological change processing are carried out, and a specific pollutant appearing area is framed on a map; and the pollutant space transmission trend measurement module performs standardization processing on each observation index, and the projected wind speed and standard pollutant concentration data are integrated in time and space dimensions to obtain pollutant transmission flux in a specified direction. According to the invention, through all-weather and real-time 3D area accurate observation of the air, analysis is carried out according to the data observed by the multi-source radar to automatically identify the spatial and temporal distribution of the atmosphere component abnormal time period, so that automatic 3D real-time joint monitoring of the monitoring area is realized.

The invention relates to a sensing system for motor vehicle contaminated packaging materials and a waste oil filter core based on accurate acquisition, and belongs to the field of Internet of Things.The system comprises a classification and collection monitoring system for the motor vehicle contaminated packaging materials and the waste oil filter core, a transport and handling monitoring systemfor the motor vehicle contaminated packaging materials and the waste oil filter core, and a storage monitoring system for the motor vehicle contaminated packaging materials and the waste oil filter core, and the system is used for monitoring the classification and collection, transport and handling, and storage of the contaminated packaging materials and the waste oil filter core. According to thesensing system, in the stages of classification and collection, transport and handling, and storage of the motor vehicle contaminated packaging materials and the waste oil filter core, the environment temperature, humidity, ventilation flow, liquid flow, pressure, illumination, weights, pH values, densities and other parameters of the motor vehicle contaminated packaging materials and the waste oil filter core are collected through front-end collectors, and the real-time monitoring and alarm in the process are achieved.