98results about How to "Improve safety management effect" patented technology

The invention discloses an access control cloud management system and method based on face recognition. Through face recognition and a cloud technology thereof, a video real-time monitoring and alarming function is supplied to access control, integration of access control and video face recognition is achieved, and access control security and protection management is improved. According to the system and method, a user using threshold is low, operation is easy, the system and method can be used only by verifying personal identity information of a user, access control recognition is conducted by adopting face recognition, and therefore an access control system can easily, conveniently, rapidly and comprehensively record personnel entering and leaving information; entering and leaving of a person with the face which cannot be recognized can be forbidden, or alarming is conducted; entering and leaving information of a visitor also can be quickly generated and recorded, the security management effect can be effectively improved, and the workload of security personnel can be reduced.

The invention relates to a fault recognition and processing method based on a satellite-bone bus. The method of the invention comprises the following steps: firstly, determining the fault type of a satellite, telemetry parameters related to various fault types and a range of normal values of the parameters; then setting the maximum times that the telemetry parameters related to the various fault types exceed the range of the normal values, and storing security instruction groups for removing faults corresponding to the various fault types in an instruction library; collecting the telemetry parameters of each device of the satellite by the satellite-bone bus at a set time, and when the telemetry parameters related to a fault type are abnormal and the abnormal times exceed the set maximum times, judging and entering the fault type; obtaining the corresponding security instruction group from the instruction library, and judging whether the security instruction group is executed; if the security instruction group is executed, clearing the corresponding abnormal count values of the telemetry parameters until the execution of the security instruction group is finished; and if the security instruction group is not executed, sequentially executing every security instruction in the security instruction group until the execution of the security instruction group is finished. The invention has the characteristics of good real-time performance and strong versatility.

The invention discloses a high-precision distributed optical fiber sensing and monitoring technical scheme and system. Its optical demodulator adopts high-precision pre-pulse Brillouin optical time domain analyzer PPP-BOTDA or Brillouin-Rayleigh synthesis system; its sensing optical cable adopts photoelectric composite cable with sufficient electric heating energy to ensure electric heating temperature rise The mutation signal whose amplitude is at the intersection of the optical fiber and the soaking line can be reliably identified; the signal-to-noise ratio of the system is as high as 10-20, which enables efficient and reliable observation of the soaking line and the groundwater level of the dam base. It can be used for large-scale-time-space double-coverage online telemetry of the groundwater level of the soil-rock dam soaking line and the anti-seepage curtain of the dam foundation. Its "one machine with multiple functions" has obvious advantages, and it can also measure the concentrated leakage of dams, silt in reservoirs, etc. Specific implementation methods are provided, including the layout method of the sensing optical cable for the monitoring of the soaking line and groundwater level - the wave pattern and technical details of the laying of the optical cable, which can effectively guarantee the survival rate of the optical fiber and minimize the interference to the dam construction.

The invention relates to a two-dimensional code based access control system and a door opening method. A scanned two-dimensional code containing door position encoding information and user information are sent to an access control management server through a special APP, and an unlocking instruction is sent to an access control controller corresponding to the door position encoding information after the access control management server checks the door opening permission information of a door position corresponding to a user. By the adoption of the two-dimensional code based access control system and the door opening method, the two-dimensional code containing door position encoding information and arranged nearby an access control is identified, the access control system can be simply, conveniently, quickly and comprehensively record in-out information of persons. A mobile terminal with a two-dimensional code which cannot be identified can be forbidden or alarmed, and the working amount of security personnel can be decreased while a community safety management effect can be effectively improved.

The invention relates to a two-dimensional code based access control system and a door opening method. The method includes: sending a scanned door position number information containing two-dimensional code and user information to an access control management server through a special APP, and sending a to-be-controlled access control controller code containing unlock instruction to an access control gateway after the access control management server checks door opening permission information of a door position corresponding to a user. The two-dimensional code based access control system and the door opening method have advantages that by recognition of the door position number information containing two-dimensional code close to access control, access information can be recorded by the access control system simply, conveniently and comprehensively; access forbidding or alarming can be realized if mobile terminals cannot be recognized by the two-dimensional code, and workload of security personnel can be relieved while community safety management effects are improved effectively.

The invention discloses a distributed fiber sensing technical scheme and system for monitoring of concrete panel dam seepage. The distributed fiber sensing technical scheme for monitoring of concrete panel dam seepage is characterized in that a strengthened heated photoelectric composite cable is used so that the fiber temperature rise of a non- seepage part achieves 15-30DEG C; a temperature anomaly signal because of great strengthened seepage is generated; and by means of coordination with a high precision Brillouin optical time domain analyzer PPP-BOTDA / Brillouin-Rayleigh synthetic system TW-COTDR or a Raman DTS optical interrogator, the signal to noise ratio is greater than 10, so that the temperature rise signal for avoiding that water leakage is submerged by the background noise / observation error and the height reliability for seepage diagnosis can be guaranteed. For the distributed fiber sensing technical scheme and system for monitoring of concrete panel dam seepage, as the implementation mode of the technical scheme is provided, and especially, the fiber arranging-laying mode aiming at the respective feature of a seam and a damaged area of the panel is provided, a large scope of coverage and on-line remote detection for the potential risk parts of the surrounding seams, the vertical seams and water leakage of the panel can be realized, and also occurrence of reliable observation and seepage identification, distributed parts and approximate quantitative estimation of the seepage intensity and evolution and development tendency can be realized.

The invention provides an engineering project intelligent dynamic safety supervision system based on BIM, and the system comprises: a model building module which is used for building an engineering project BIM model according to the basic information of an engineering project; a project management and control module which is used for associating the construction progress of the engineering projectwith an engineering project BIM model to form an engineering project 4D BIM model; a safety analysis module which is used for analyzing dangerous large projects in the engineering project 4D BIM model according to the engineering project 4D BIM model and marking corresponding dangerous large project information in the engineering project 4D BIM model; and a safety supervision module which is usedfor monitoring the on-site construction process of the dangerous large project, acquiring on-site safety management information, and performing safety risk assessment and safety risk management according to the on-site safety management information. The intelligent dynamic safety management and control system is helpful for acquiring basic information of a project, analyzing dangerous large projects in the project by combining with the support of a database, and carrying out key safety supervision, analysis and management and control on the dangerous large projects, so that the efficiency ofengineering project safety supervision is improved.

The invention discloses an intelligent power utilization safety early warning and protection cloud system. The system comprises an electric device, a plurality of data collection terminals, a wirelessdata collector, a cloud server and a mobile device; the output end of the electric device is connected with the input ends of the data collection terminals, and the output ends of the data collectionterminals are connected with the input end of the wireless data collector through RS485 cables. According to the intelligent power utilization safety early warning and protection cloud system, an electrical safety monitoring device with relatively high monitoring precision is adopted and is arranged on equipment such as a power transformer and a temperature sensor; main factors (wire temperature,current, leakage current and the like) causing electrical fire and electric shock are subjected to real-time on-line monitoring and statistical analysis, and potential safety hazards (such as abnormal cable temperature, overload, leakage current overrun and the like) existing in an electrical circuit and electrical devices are found accurately and timely. Early warning information is sent to enterprise management personnel in time to remind a user to check and process in time.

The invention discloses a data resource management method and system. The management method includes the steps of service data accumulation, service data extraction and main data processing. The management system comprises a service data accumulation module, an extraction, transformation and loading module, a main data management module and a metadata management module. According to the data resource management method and system, the problems of data confusion and low credibility are effectively solved by the technical means of data accumulation, extraction, analysis, mining and the like, so that the transparency and availability of data resources are improved, and the technical purposes of integrating enterprise internal data, improving the collaboration efficiency of various departments, effectively reducing the operating cost of town gas enterprises and the like are achieved.

The invention relates to the technical field of system security, in particular to a computer storage file protection system which comprises a risk analysis module, a dynamic encryption module, an authentication management module and a behavior monitoring module. According to the method, the response speed and the personalized protection level of the file security are improved by automatically collecting location, time and user information parameters and executing context risk logic analysis, the system can provide customized protection schemes for different security requirements by dynamically adjusting an encryption mechanism and the key length, and the security of the file is improved. The system is allowed to strengthen protection measures under the high-risk condition, resource use is optimized under the low-risk condition, unnecessary performance burdens are avoided, through real-time monitoring and behavior analysis, the system can recognize and respond to abnormal behaviors in time, unauthorized access and data leakage are effectively prevented, potential threats to sensitive information are reduced, and the safety of the system is improved. The overall security management capability of the system is improved, and the continuity and effectiveness of data protection are ensured.

The invention discloses an automatic community access control system. An owner terminal includes a two-dimensional code generation request sending module, a storage module and a display module; the access control system includes a management terminal, a database module, an owner channel, a visitor channel and an indoor access control recording terminal, the owner channel is provided with a two-dimensional code scanning and identifying module and an access control switch, and the visitor channel is provided with a two-dimensional code scanning and identifying module, an access control switch, an input module and a head portrait acquisition module; a public security terminal includes an alarm module, an input module, a head portrait acquisition module, a communication module and a display module; and the visitor terminal includes a storage module and a display module. Users or visitors pass through a uniquely identified two-dimensional code to access the community access control, so theimprovement of the community security management is facilitated, and the system is convenient to operate; and the access control system can quickly and comprehensively record people's access information, so the reduction of the workload of security personnel is also facilitated.

The invention relates to an open source intelligence relevance identification method and system based on a semantic analysis driving model. The method comprises the following steps: carrying out fine-grained semantic analysis on a network security report and a forum discussion post by adopting a natural language processing technology based on deep learning, respectively mining word-grained context semantic association feature representations of the network security report and the forum discussion post, and carrying out fine-grained semantic interaction response analysis on the network security report and the forum discussion post, therefore, whether the forum discussion post is the associated information of the network security report or not is intelligently identified. Therefore, the accuracy and efficiency of open source intelligence relevance identification can be effectively improved, an enterprise is effectively assisted in finding potential security threats in time, and the network security management capability is improved.

The invention discloses an intelligent power supply system data integrated management system for the power industry, and relates to the field of electric power industry. The intelligent power supply system data integrated management system comprises a control host, the input end of the control host is electrically connected with the output ends of a communication module and a feedback module respectively, the input end of the communication module is electrically connected with a data substation, and the output end of the control host is electrically connected with the input ends of a storage module and a report management module respectively. According to the invention, the data detection is more accurate; in-time processing is faciliated, a user can view the data through the display module when the user must pass verification of the password, the fingerprint and the short message in sequence; in addition, the database can be maintained to be updated in time, and a normal electricity user list, electricity data, an abnormal user list and electricity data are generated respectively, so that statistics personnel can be clear at a glance, the working efficiency is improved, and the accuracy and pertinence of work are ensured.

The embodiment of the invention discloses an industrial host terminal security protection system. The system integrates the core functions of behavior monitoring, virus searching and killing, remote investigation and evidence obtaining, linkage defense, risk situation display and the like. The advanced technologies of behavior recognition, multi-engine sample identification, neural network, trapping, immunization and the like are adopted, real-time detection and disposal of known and unknown threats are achieved, and the threats which cannot be effectively defended by traditional security products, such as ransomware, mining, killing-free escape, file-free attack and the like, are effectively solved. By acquiring full kernel-level particle size behavior data in real time through a lightweight terminal Agent program to continuously monitor a terminal system, and screening out an event which is beneficial for a customer to carry out threat tracing from the event and storing the event, rapid analysis and response (including determination of a zero damaged terminal, an attack range and the like) of the threat event are realized, the maximum protection is obtained with the minimum resource overhead, and the terminal security management capability of the client is comprehensively improved.

The invention discloses a new energy intelligent safety team system, and relates to the technical field of new energy, the new energy intelligent safety team system comprises a central regulation and control module, the central regulation and control module is in communication connection with a field operation management module, an educational training module, a risk pre-control module, a hidden danger checking and emergency management module and an intelligent hardware integration module, and the field operation management module is used for providing operation guidance for team personnel through the intelligent terminal, pushing safety risk information in an operation environment in real time, and performing task allocation, progress tracking and completion condition feedback. According to the invention, by monitoring key information such as the working state of team personnel, the equipment operation condition and the environmental parameters in real time, abnormal or potential risks are found in time, and related information is automatically pushed to management personnel, so that the safety management capability of the team is enhanced, safety accidents are effectively prevented, and the safety of personnel and property is guaranteed.

The invention discloses a construction method of a formwork support protection device, and relates to the technical field of building construction formwork support. According to the technical scheme, the formwork support protection device comprises a plurality of formwork walls composed of mutually connected steel frame wood formworks, corner formworks connected with the corners of the formwork walls, back square steel supports fixed to one sides of the formwork walls and triangular supporting frames arranged on the inner sides of the formwork walls, wherein the corners where the adjacent formwork walls are connected are fixedly connected through corner supports. The construction method has the beneficial effects that a safe, reliable and convenient-to-construct operation protection platform is provided for subsequent operators after formwork construction is completed; a higher-strength support effect is provided, the single pouring height is increased, the frequency of occurrence of cold joints is reduced, and the pouring quality of concrete is improved; and after first-time assembly, modular disassembly is directly conducted for recycling in the later period till final use is completed, modular disassembly is conducted, the formwork support protection device is transported to a large site for disassembly and arrangement, a large amount of manpower is saved, and the construction efficiency is improved.

The invention relates to an access control system and a door opening method based on GPS (global positioning system) positioning. According to a mode that the position of a user is acquired through a GPS and the user enters the access control system after identity verification, the user needs not to take any ID / IC card or a note in a paper form, or the user is not required to download an extra electronic note, so that the use burden of the user is reduced, and the user enters the access control system conveniently. According to the access control system and the door opening method based on the GPS positioning, the user can automatically open the door without carrying out any operation after the position of the user is acquired by the GPS and the identity is verified, the door can be opened automatically when the user with the permission approaches the door, and meanwhile, the access control system can record access information of people simply, rapidly and comprehensively; the system can forbid access of users without permission or give an alarm, so that the effect of access control security management is effectively improved, and the workload of security personnel is reduced.

The invention discloses a coal mine hidden disaster-causing multi-source factor superposition disaster-causing risk prediction method, and relates to the technical field of coal mine construction risk prediction. The method comprises the following steps of S01, information acquisition and processing, S02, risk assessment model construction, S03, risk early warning result display, S04, accident risk assessment, S05, risk information three-dimensional visualization, S06, emergency rescue resource management and S07, monitoring and early warning technology application. According to the method, through utilization of a GIS information acquisition platform, multi-source data of a coal mine can be effectively integrated, and the risk of the coal mine can be effectively analyzed; comprising production monitoring, geographic information, safety management and control and the like; the method overcomes the defect of incomplete data acquisition in the prior art, and ensures that the risk assessment can be performed based on comprehensive and accurate data, thereby improving the monitoring capability of the hidden disaster-causing factors of the coal mine.

The invention discloses a water conservancy information automatic statistical system for water diversion, and relates to the technical field of water conservancy information processing. The system comprises a set of application system, two platforms, an entity environment, three supports and two systems, wherein the application system comprises a water level flow monitoring and management system,a water quality monitoring and management system, a water quantity scheduling management system and a comprehensive information service system; the platform comprises a data resource management platform and an application support platform. The physical environment comprises a general dispatching center machine room, a dispatching center hall, a management office, a management office and an in-situstation; the support comprises an automatic control system, a video monitoring system and a comprehensive communication network. By building four application systems, two platforms, one application interaction system, one entity environment, three supports and two systems of automation and communication systems, the information acquisition and supervision requirements of the water diversion project are met, and the project construction, operation and maintenance management level and the emergency disposal and command capacity are improved.

The invention relates to a construction safety macroscopic evaluation system and method, and the system comprises a data processing module which collects a data image of a construction site and carries out the marking and recognition processing, so as to determine each worker and engineering machinery of the construction site, and central point coordinates and contour coordinates corresponding to each worker and engineering machinery; the safety evaluation module is used for determining an unsafe behavior value, a worker risk consciousness value and a management agility value of a worker who does not wear a safety helmet every day according to each worker and engineering machinery in the construction site and central point coordinates and contour coordinates corresponding to each worker and engineering machinery; the training module is used for training by adopting a fuzzy neural network algorithm according to the unsafe behavior value, the worker risk consciousness value and the management agility value in the preset time period and a corresponding preset construction safety macroscopic evaluation value to obtain a construction safety macroscopic evaluation model; and the evaluation module is used for performing construction safety macroscopic evaluation on the target construction site by using the construction safety macroscopic evaluation model.

The invention provides an auto-passing phase separation replaceable type ground magnetic sensor for an electric locomotive. The ground magnetic sensor comprises a magnetic steel part and a special sleeper part. The magnetic steel part comprises magnetic steel, the magnetic steel comprises an iron base plate, and the iron base plate is provided with a trapezoidal stainless steel cover cap. A glue bonding magnet special for magnetism is used in the middle of the base plate and located in the trapezoidal cover cap, and the two sides, outside the cover cap, of the base plate are each connected with a stainless steel magnetic wing. Screw holes are formed in the magnetic wings. The special sleeper part comprises a sleeper, a magnetic steel supporting frame and a nut embedded part. The sleeper is provided with a trapezoidal groove, the magnetic steel supporting frame is formed by welding an iron base plate and two stainless steel side plates, and the shape of the magnetic steel supporting frame is matched with that of the trapezoidal groove. The magnetic steel supporting frame is tightly attached to the trapezoidal groove. The auto-passing phase separation replaceable type ground magnetic sensor has the advantages that disassembling is convenient, and replacing efficiency is improved; the magnetic wings are additionally arranged on the two sides of the magnetic steel, so that the sensitivity of an auto-passing phase separation receiving device for the locomotive is improved; the safety and stability of the magnetic steel are guaranteed; the mounting precision and safe stability of the magnetic steel are improved; the safety and stability of the magnetic steel are improved.

The invention discloses an access-control control system based on a two-dimensional code. The access-control control system comprises an owner terminal, an access control system and a security terminal; the owner terminal comprises a two-dimensional code generating request sending module, a storage module and a display module; the access control system comprises a management module, a database module, a two-dimensional code scanning and recognizing module, an access control switch and an indoor access control record terminal; the security terminal comprises an alarm module, an input module, anicon acquisition instrument, a communication module and a display module. The security management effect of a community is improved, the operation is convenient, the access control system can quicklyand comprehensively record personnel access information, and the workload of security personnel is also reduced.

The embodiment of the invention discloses an Internet-of-things equipment control method and device, equipment and a storage medium. The method provided by the embodiment of the invention comprises the steps of performing user permission verification on the control terminal by a plurality of verification terminals to obtain the permission verification result, and performing double encryption on the permission verification result by each verification terminal based on the first public key and the second public key to obtain the second ciphertext; decrypting the second ciphertext to obtain a first ciphertext containing the authority verification result, sending the first ciphertext to the control terminal, decrypting the plurality of received first ciphertexts by the control terminal to obtain a plurality of authority verification results, and obtaining a consensus verification result based on the plurality of authority verification results, and finally, determining the control authorityof each field device based on the consensus verification result, realizing confusion between a message source and a destination, ensuring privacy of both the control terminal and the verification terminal, effectively ensuring correct transmission of the authority verification result, and effectively improving the safety management effect of the field devices.

The invention discloses a smart community managing system and method. A matched equipment running state automatic detection function is introduced; matched equipment with a unified communication protocol in a network can be scanned periodically through a communication management host; and an equipment detection result is judged according to the equipment end response situation. The method belongsto system smart automatic detection, and is only limited to a matched equipment type. The system can automatically generate the record condition of various matched equipment running state exceptions which are automatically detected within predetermined time; maintenance personnel can rapidly find equipment with higher exception frequency; hidden failures of the equipment can be found as early as possible; replacement or repair can be implemented in advance before a user find the failure; usage of the user is not influenced in the whole maintaining process; and the user experience is improved.Preferably, big data fragments of a built-in management platform can be automatically classified and managed, and a security data analysis result, a failure repairing data analysis result and a resident health checking-nursing data result of the smart community management can be generated automatically.

The invention discloses an intelligent monitoring device for preventing pulverized coal smoldering in a thermal power plant, and the device comprises a charging unit which comprises a charging base and a plurality of charging grooves uniformly formed in the charging base, wherein charging piles are symmetrically arranged in the charging grooves; and a monitoring unit which comprises a shell located in the charging groove and a monitoring assembly located in the shell. The device is provided with the charging unit, the monitoring unit, the information acquisition module, the electric quantity acquisition module and the processing module, through cooperative operation of the charging unit, the monitoring unit, the information acquisition module, the electric quantity acquisition module and the processing module, huge risks existing in a fuel system all the time are solved, and postmortem rescue is changed into beforehand early warning; the portable passive wireless device can be movably installed at any time as required, can be carried by a maintainer, can be reused, and can supervise key risk areas in a targeted manner every day, thereby greatly saving the safety supervision cost of an enterprise, and improving the safety management capability of the enterprise.

The invention provides a construction safety intelligent management and control method and system based on a potential safety hazard library. The method comprises the following steps: establishing a potential safety hazard standard library for potential safety hazard classification and level-to-level management; constructing an intelligent detection and recognition model according to the potential safety hazard standard library, arranging process image data in a construction stage, performing data labeling, and training the intelligent recognition model by using the process image data; installing the detection equipment, and recording the installation and control area of the detection equipment; configuring an intelligent detection strategy according to classification and level-to-level management requirements of the potential safety hazard standard library; acquiring a video stream from the detection equipment, calling the intelligent identification model for detection to obtain potential safety hazards, automatically recording detection results, and storing the detection results in a database according to categories; and monitoring the potential safety hazard processing result according to the potential safety hazard standard library. The system comprises a model training module, a strategy execution module and an intelligent detection module. According to the invention, the major goals of improving the safety level and reducing accidents are achieved.

The invention discloses an intelligent scheduling system for tunnel construction operation objects, and the system is characterized in that the construction system comprises a data collection module, a data processing module, a scheduling decision module, an execution and feedback module, and a user interface module; through highly integrated data acquisition, processing and decision making modules, the system can respond to the change of a construction site in real time and optimize scheduling decisions, so that the construction efficiency and the resource utilization rate are remarkably improved. Through the real-time monitoring and dynamic adjustment functions of the execution and feedback module, the scheduling system can respond to onsite emergencies in time, project delay and overhigh cost are reduced, and the construction progress and quality are guaranteed. The user interface module provides a visual and easy-to-operate interaction platform, so that a dispatcher can effectively monitor and manage the whole construction process, and the operation convenience and the decision accuracy are improved. The risk assessment and management function of the system strengthens the construction safety, and by predicting and preventing potential risks, the accident rate is obviously reduced, and the safety of personnel and equipment is guaranteed.

The present invention discloses a control method and electronic equipment. The method comprises: when electronic equipment detects that a set operation mode is enabled, the electronic equipment obtaining parameter information and determining whether the parameter information satisfies a preset condition; and if yes, rejecting to respond to a first control instruction received, wherein the first control instruction is used for instructing the electronic equipment to install an application or is an instruction to instruct the electronic equipment to enable an application. In brief, in certain cases, the electronic equipment refuses a user to enable an application or install an application, so that not only some malicious applications are prevented from being installed on the electronic equipment, but also security of an application in the electronic equipment is improved, and the application security management capability is improved.

The invention belongs to the technical field of annual ticket management, and particularly relates to a tourism annual ticket management system and verification method based on face recognition, and the system comprises a management cloud platform, a face recognition front-end management device, a face recognition camera, and a scenic spot gate device. The method further comprises the steps that S1, the personal information of the user is bound with the cloud management system; S2, the user enters a scenic spot associated with the purchased travel annual ticket for verification; according to the invention, the face recognition technology is used for the entrance verification of the scenic spot, the operation is convenient, the management is easy, the accuracy of the entrance verification of the scenic spot is improved, the entrance convenience is realized as much as possible, and the entrance experience of tourists is improved.