CN114285870A - Distributed black box system of travel equipment, control method thereof and storage medium - Google Patents
Distributed black box system of travel equipment, control method thereof and storage medium Download PDFInfo
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Abstract
The invention discloses a distributed black box system of a travel equipment, a control method and a storage medium thereof, wherein the system comprises: the equipment node module is used for collecting environmental data of the travel equipment and collecting equipment safety data of the travel equipment; the project node module is used for collecting device safety data and environment data provided by all device node modules in distributed arrangement in each travel device in a project and operation data provided by project master control software, formatting the device safety data and the environment data in the project node module and then reporting the formatted device safety data and environment data, analyzing the state of a key safety index and determining the updating state of a safety strategy on each device node module; and the big data analysis module is used for collecting project operation data of all the project node modules which are arranged in a distributed mode. According to the invention, the equipment node modules and the project node modules are arranged in a distributed manner, so that data generated in safety monitoring can be responded in time, various electrical equipment can be adapted, and the equipment complexity is reduced.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a distributed black box system of a travel device, a control method and a storage medium thereof.
Background
With the development of science and technology and the tendency of people to good life, more and more stimulation experience type large-scale text and travel equipment emerge in the entertainment industry, and the entertainment requirements of people are continuously met. Along with the above, the requirement on the safety monitoring of large-scale amusement equipment is higher and higher, the traditional safety monitoring of the cultural and tourist equipment has the problems of delay, poor adaptability and large equipment.
Thus, there is still a need for improvement and development of the prior art.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a distributed black box system for travel equipment, aiming at solving the problems of hysteresis, poor adaptability and overstaffed device in the prior art for safety monitoring of travel equipment.
The technical scheme adopted by the invention for solving the problems is as follows:
in a first aspect, an embodiment of the present invention provides a distributed black box system for a travel equipment, where the system includes:
the equipment node module is used for collecting environmental data of the travel equipment and collecting equipment safety data of the travel equipment;
the project node modules are used for collecting device safety data and environment data provided by all device node modules in distributed arrangement in each travel device in a project and operation data provided by project master control software, formatting the device safety data and the environment data, reporting the formatted device safety data and environment data, analyzing the state of a key safety index, and determining the update state of a safety strategy on each device node module;
and the big data analysis module is used for collecting project operation data of all the project node modules which are arranged in a distributed mode.
In one implementation, the device node module is adapted to a plurality of communication protocols.
In one implementation, the device node module includes:
the strategy execution unit is used for receiving the strategy issued by the project node module, updating the local strategy, monitoring the data of the acquisition equipment, comparing the data concerned by the strategy and judging whether to trigger an execution instruction specified by the strategy;
and the data acquisition unit is used for acquiring environmental data and equipment data.
In one implementation, the obtaining the environmental data and the device data includes:
acquiring observation data corresponding to the environmental data sensor through an integrated environmental data sensor to obtain environmental data;
and acquiring monitoring data provided by the equipment through an equipment protocol communication interface to obtain equipment data.
In one implementation, the device protocol communication interface includes a network interface, Wifi, bluetooth, 485, 232 serial port.
In an implementation manner, the formatting and reporting the device security data and the environment data specifically includes encrypting and formatting the device security data and the environment data and reporting the encrypted and formatted device security data and environment data.
In one implementation, the project node module includes:
the system comprises a strategy management unit, a risk prediction information processing unit and a risk equipment node module, wherein the strategy management unit is used for receiving risk prediction information provided by a big data analysis module, identifying risk equipment sensitive data corresponding to the risk prediction information, adjusting a security strategy and issuing the strategy to the equipment node module corresponding to the risk prediction information;
and the data summarizing unit is used for summarizing the equipment safety data and the environment data reported by each equipment node module in the project and the operation data reported by the project total control software, and uniformly formatting all the data.
In a second aspect, an embodiment of the present invention further provides a method for controlling a distributed black box system of a travel equipment, where the method includes:
collecting environmental data of the travel equipment and collecting equipment safety data of the travel equipment through an equipment node module;
reporting the environment data and the equipment safety data collected by all the equipment node modules which are arranged in a distributed manner and operation data provided by project master control software to project node modules, formatting the equipment safety data and the environment data through the project node modules, analyzing key safety index states, determining the update state of a safety strategy on each equipment node module, and obtaining project operation data;
and collecting the project operation data of all the project node modules in distributed arrangement through a big data analysis module, performing statistical analysis on the project operation data, providing equipment fault early warning and risk prediction, and issuing an adjustment strategy and a countermeasure to each project node module.
In a third aspect, an embodiment of the present invention also provides an intelligent terminal, including a memory, and one or more programs, where the one or more programs are stored in the memory, and configured to be executed by one or more processors includes a control method for executing the system of the travel equipment distributed black box as described above.
In a fourth aspect, an embodiment of the present invention further provides a non-transitory computer-readable storage medium, where instructions in the storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the method for controlling a travel equipment distributed black box system as described above.
The invention has the beneficial effects that: the system of the invention comprises: the equipment node module is used for collecting environmental data of the travel equipment and collecting equipment safety data of the travel equipment; the project node modules are used for collecting device safety data and environment data provided by all device node modules in distributed arrangement in each travel device in a project and operation data provided by project master control software, formatting the device safety data and the environment data, reporting the formatted device safety data and environment data, analyzing the state of a key safety index, and determining the update state of a safety strategy on each device node module; the big data analysis module is used for collecting project operation data of all the project node modules which are arranged in a distributed mode; therefore, the equipment node modules and the project node modules are arranged in a distributed mode, the strategy execution right is transferred to the node modules in each piece of equipment, data generated in safety monitoring can be responded in time, the equipment node modules can be different electrical equipment, therefore, the system can be adapted to various electrical equipment, the equipment node modules can uniformly collect environmental data, a sensor does not need to be integrated with each piece of equipment in the equipment node modules, and equipment complexity is reduced.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a structural diagram of a distributed black box system of a travel equipment according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of a project node structure and a data flow direction according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of a node structure and a data flow of the device according to the embodiment of the present invention.
Fig. 4 is a flowchart illustrating a control method for the distributed black box system of the travel equipment according to an embodiment of the present invention.
Fig. 5 is a schematic block diagram of an internal structure of an intelligent terminal according to an embodiment of the present invention.
Detailed Description
The invention discloses a distributed black box system of a travel equipment, a control method and a storage medium thereof, and further describes the invention in detail with reference to the attached drawings and embodiments in order to make the purpose, technical scheme and effect of the invention clearer and clearer. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. As used herein, the term "and/or" includes all or any element and all combinations of one or more of the associated listed items.
It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
In the prior art, the traditional safety monitoring system for the amusement equipment comprises a sensor, a signal regulator, a data acquisition module, a recording module and the like, and provides a safe operation reference by acquiring, recording and storing data of field operation of the amusement equipment and subsequently analyzing the operation data.
The method relatively generates a certain lag problem, and is difficult to respond to the safety fault treatment of the running equipment in time. Only has the function of safety monitoring and recording and cannot make corresponding measures in time;
the safety monitoring system of the traditional amusement equipment has the advantages that the amusement equipment is various in types, related electrical equipment is more, and different manufacturers need to be in butt joint with different electrical equipment such as a PLC (programmable logic controller) and a sensor due to different implementation schemes; the monitoring system is difficult to popularize, and only few and adapted devices can be monitored;
the data acquisition module related to the traditional safety monitoring system integrates a plurality of sensors and data acquisition devices together for supporting the collection work of various data, so that the equipment is too fat and has large use limitation.
In order to solve the problems in the prior art, as shown in fig. 1, the embodiment provides a distributed black box system for equipment for travel, and the equipment node modules and the project node modules are set in a distributed manner, so that the policy enforcement right is transferred to the node modules in each piece of equipment, data generated in safety monitoring can be responded in time, and the equipment node modules can be different electrical equipment, so that the system can adapt to various electrical equipment, and the equipment node modules can uniformly collect environmental data without integrating a sensor with each piece of equipment in the equipment node modules, thereby reducing equipment complexity. In this embodiment, the system includes: the equipment node module is used for collecting environmental data of the travel equipment and collecting equipment safety data of the travel equipment; the project node modules are used for collecting device safety data and environment data provided by all device node modules in distributed arrangement in each travel device in a project and operation data provided by project master control software, formatting the device safety data and the environment data, reporting the formatted device safety data and environment data, analyzing the state of a key safety index, and determining the update state of a safety strategy on each device node module; and the big data analysis module is used for collecting project operation data of all the project node modules which are arranged in a distributed mode. The advantages are as follows: 1. the response is fast; due to the adoption of a distributed scheme, the strategy execution right is transferred to each equipment node module, and abnormal data can be timely responded and processed; 2. the adaptability is strong; the equipment node module reasonably divides data, integrates the environmental data sensor into the module, relates to the self data of the equipment, uniformly collects the data through an industry universal interface, reduces the complexity of the module, lightens the load of the module, reduces the volume and the weight of the module, and solves the engineering problems of field deployment, earthquake resistance and the like; 3. the application range is wide; the equipment node module provided by the scheme can be flexibly adapted to various monitored equipment, such as common equipment of amusement equipment, such as a PLC (programmable logic controller), a projector, a PC (personal computer) and the like; the scheme is easy to popularize and use for various amusement equipment projects; 4. the cost is low; due to the adoption of a mature embedded scheme, the data mode needing to be collected is not increased in hardware cost, the application range is wide, and the cost of the whole scheme is more optimized. 5. The data security is high; the scheme uploads the collected data to a project node module in real time, and the project node module collects the data to a big data analysis platform; in the data storage and transmission processes, data are encrypted and protected, data tampering is prevented, meanwhile, local storage is supported, and equipment and environment data can be continuously recorded when a network is abnormal;
in practice, a distributed mode is adopted, a set of universal and extensible equipment node modules is designed, the working environment of the equipment for travel is relatively severe, the equipment is located outdoors and has a closed space, and the equipment has faults due to part of reasons caused by long-term environmental factors, such as high and low temperature and humidity, and some equipment is subjected to strong vibration during operation and is also an important factor influencing whether the equipment can safely operate. The device node module is used for collecting environmental data (such as temperature, humidity, three-axis vibration data and the like), and also needs to collect safety related data of devices such as a PLC device and a projector device. The specific parameters to be collected are determined according to the actual monitored text travel equipment project. In this embodiment, the device node module may be adapted to a plurality of communication protocols (e.g., ADS of Furft, OPC, S7 of Siemens, and TCP/IP). In this embodiment, a plurality of distributed device node modules are connected to a project node module at a previous stage, for example, a set of project node modules is designed by taking a project as a node, and is used for collecting device security and environment data provided by each device-side distributed node module in the project and operation data provided by project master control software, formatting (with an encryption function) the collected device security data and environment data in the project node modules and reporting the formatted data to a big data analysis module, wherein the collected data is encrypted and formatted, and a JSON format is adopted for classifying various types of security data. The encryption steps are as follows: 1. generating a random number; 2. adding a JSON object with the name of SEED and the value of the random number in a reported data list; 3. and carrying out symmetric algorithm encryption on the values of other items in the JSON format list by using the random number. Meanwhile, the project node module analyzes whether the key safety index state is normal or not, and because each travel equipment project is different, a corresponding data format interpretation file is configured and used for translating the data of the travel equipment project and converting the data into data information convenient to understand; the specific steps for analyzing the key safety index state are as follows:
1. reading original equipment data and project data;
2. converting the original data according to the corresponding data interpretation file;
3. comparing the converted plaintext data with a parameter security threshold in a security policy management module to see whether a security index is in a specified range; if the operation is normal, otherwise, reporting the abnormity to a big data analysis module, and timely reminding and early warning to project operators.
As shown in fig. 2, the item node module also determines the update status of the security policy on each device node module, that is, determines whether the security policy needs to be updated on each device node module. Safety strategies, such as reasonable stress range (<700Mpa) for a bearing in the travel equipment project; when the monitored parameter data exceeds the preset range, the early warning function is triggered, project operators are informed to stop operating in time, and the equipment with problems is overhauled or replaced. The distributed project node modules are connected to a big data analysis module at the upper level, and based on a background operation data center of a whole operation park or all similar devices, the big data analysis module is integrated and used for collecting project operation data of all large-scale travel equipment and performing trend analysis at the background, wherein the trend analysis is completed by background machine analysis, and is mainly used for counting various data according to time axis, comparing historical data, screening abnormal data and checking the abnormal data with operation manual data. The big data analysis module can collate the operation manual data, if the operation manual data is manually reported by each park operation team, the reporting format is carried out according to a template provided by the big data analysis module; thus facilitating the comparative analysis of subsequent data; the method compares the operation manual data with the historical data, screens abnormal data and corresponding actual points, performs fuzzy matching with operation manual input data (such as time periods of fed back equipment abnormal information), and finds out which data which are correspondingly monitored are associated with the operation feedback abnormality. The big data analysis module can also predict possible equipment fault points through the comparison and analysis of transverse data of a plurality of similar equipment, early warn and issue predicted risks to each project node module, for example, a sightseeing trolley is taken as an example: install the two-dimensional code read head on the dolly, during the dolly operation, the read head reads all two-dimensional codes that paste on the track and carries out the discernment of position, install equipment node module on the dolly, can gather the vibrations data of two-dimensional code read head through equipment node module, the two-dimensional code raw data who reads in addition, through long-term many times's data accumulation and analysis, can generate the curve of the range of vibration data and the two-dimensional code position data of two-dimensional code read head in the project normal operating. When the equipment runs, the two-dimensional code reading head breaks down, or the two-dimensional code reading data is inaccurate due to the fact that a fixed screw is loosened, the distributed black box system can be compared with normal data to prejudge whether the equipment has a fault risk or not, so that alarm prompt is conducted, corresponding alarm prediction risks are sent to each project node module from the lower portion, and the alarm prediction risks are used for optimizing the safety strategy of the project node modules, such as: the project node module judges the strategy priority by collecting the abnormal conditions fed back by each equipment node module and then sends an execution instruction so as to respond to possible faults in time. If the two-dimensional code reading head is only abnormal in vibration, the operator is warned after normal operation of a single project, and when the two-dimensional code reading data is wrong, the fault instruction is directly issued according to priority judgment, the equipment operation is stopped, the safety risk is reduced, and the safety risk of the equipment and the personnel is minimized. And the big data analysis module is used for performing long-term statistical analysis on the project equipment operation data reported by each project node module, providing equipment fault early warning and risk prediction, and issuing the equipment fault early warning and risk prediction to each project node module to perform strategy adjustment and coping measures.
In one implementation mode, in order to avoid data tampering or divulgence, an encryption module and a decryption module are additionally arranged and used for encrypting and decrypting data, the encryption module is arranged in an equipment node module, and the decryption module is arranged in a project node module.
In one implementation, as shown in fig. 3, the device node module includes a policy execution unit and a data acquisition unit, where the policy execution unit is configured to receive a policy issued by the item node module and update a local policy; the system is used for monitoring data of the acquisition equipment, comparing the data concerned by the strategy and judging whether to trigger an execution instruction specified by the strategy or not, and is used for preventing safety accidents. And the data acquisition unit comprises an environment data acquisition unit and an equipment data acquisition unit. The environmental data acquisition is to acquire corresponding observation data such as temperature, humidity and vibration data through an integrated environmental data sensor. The equipment data acquisition is to acquire the monitoring data provided by the equipment through an equipment protocol communication interface. The device protocol communication interface comprises, but is not limited to, a network interface, Wifi, bluetooth, 485, 232 serial ports and the like.
In one implementation mode, the project node module comprises a policy management unit and a data summarization unit. The strategy management unit is responsible for receiving the risk prediction information provided by the big data analysis module, identifying corresponding risk equipment sensitive data, adjusting a security strategy and issuing the strategy to a corresponding equipment node module; and the data summarizing unit is responsible for summarizing the equipment data reported by each equipment node and the project data reported by the project master control software included in the project, and uniformly formatting all the data so as to report the data to the big data analysis module for statistical analysis.
Exemplary method
The embodiment provides a control method of a distributed black box system of a travel device, and the method can be applied to an intelligent terminal for data processing. As shown in fig. 4 in detail, the method includes:
s100, collecting environmental data of the travel equipment and collecting equipment safety data of the travel equipment through an equipment node module;
s200, reporting the environmental data and the equipment safety data collected by all the equipment node modules in distributed arrangement and operation data provided by project master control software to project node modules, formatting the equipment safety data and the environmental data through the project node modules, analyzing key safety index states, determining update states of safety strategies on all the equipment node modules, and obtaining project operation data;
s300, collecting the project operation data of all the project node modules in a distributed mode through a big data analysis module, performing statistical analysis on the project operation data, providing equipment fault early warning and risk prediction, and issuing an adjustment strategy and a response measure to each project node module.
The implementation and application steps of the distributed black box system of the travel equipment are as follows:
equipment node module workflow
1. Starting equipment, synchronously starting node modules of the equipment
2. Connecting the devices to select the corresponding communication protocol
3. Connection item node module
4. Starting a strategy execution unit, determining whether the item node module issues strategy updating, and if not, executing 5; if so, storing the new strategy in the local storage medium, and reporting the project node module and finishing updating the strategy.
5. And acquiring a local strategy and monitoring the data acquired by the data acquisition unit. If the data exists, checking a strategy description key parameter item, judging whether to trigger the strategy, and if so, issuing a strategy description instruction to the equipment; if there is no data, wait 6 for execution;
6. and starting a data acquisition unit, monitoring the environmental data provided by the environmental data sensor, and monitoring the equipment data provided by the equipment communication protocol interface. Synchronizing data to the policy enforcement unit. And encrypting data, synchronously encrypting the data to the project node module, and storing the encrypted data to a storage medium.
B. Project node module workflow
1. Project node module launch
2. Connecting big data analysis modules
3. Connecting equipment node module and project master control software
4. Starting a strategy management unit, judging whether a risk prediction provided by a big data analysis module is received, if so, monitoring the analysis data of a data summarization unit, matching risk key data, determining a strategy adjustment scheme, and issuing a new strategy to an equipment node unit
5. Starting a data summarization unit to collect the equipment data and the project data respectively
6. And decrypting the data, analyzing the data, synchronizing the analyzed data to a policy management unit, formatting the data, and reporting the data to a big data analysis module.
The procedure was as described above. The result shows that the distributed black box system effectively ensures the safety and high efficiency of data monitoring of the travel equipment and the quick response of preventive measures.
According to the invention, data are effectively divided in a distributed black box mode, the data acquisition workload is reduced, a distributed equipment node module is adopted, the functions of single nodes are simplified, the project deployment difficulty is reduced, the monitoring cost is reduced, and the data acquisition and strategy execution efficiency is improved; and a policy execution unit is added to provide the response speed of the security policy. The main advantages are: the contradiction between the long-term summary analysis of the data of the travel equipment and the timely response of the abnormal processing of the equipment is solved, the real-time recording of the equipment and the environmental data can be met, the equipment data can be reported to a project node and a data center in time, and the observation, analysis and use of the overall health state of the project are met; the safety monitoring quality and the strategy execution efficiency of the amusement equipment are effectively improved, the equipment monitoring application range is expanded, early warning is extracted, fault processing is responded in time, and the safety operation of amusement projects is guaranteed.
Based on the above embodiment, the present invention further provides an intelligent terminal, and a schematic block diagram thereof may be as shown in fig. 5. The intelligent terminal comprises a processor, a memory, a network interface, a display screen and a temperature sensor which are connected through a system bus. Wherein, the processor of the intelligent terminal is used for providing calculation and control capability. The memory of the intelligent terminal comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the intelligent terminal is used for being connected and communicated with an external terminal through a network. The computer program is executed by a processor to implement a method of controlling a distributed black box system of a travel equipment. The display screen of the intelligent terminal can be a liquid crystal display screen or an electronic ink display screen, and the temperature sensor of the intelligent terminal is arranged inside the intelligent terminal in advance and used for detecting the operating temperature of internal equipment.
It will be understood by those skilled in the art that the schematic diagram of fig. 5 is only a block diagram of a part of the structure related to the solution of the present invention, and does not constitute a limitation to the intelligent terminal to which the solution of the present invention is applied, and a specific intelligent terminal may include more or less components than those shown in the figure, or combine some components, or have different arrangements of components.
In one embodiment, an intelligent terminal is provided that includes a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for:
collecting environmental data of the travel equipment and collecting equipment safety data of the travel equipment through an equipment node module;
reporting the environment data and the equipment safety data collected by all the equipment node modules which are arranged in a distributed manner and operation data provided by project master control software to project node modules, formatting the equipment safety data and the environment data through the project node modules, analyzing key safety index states, determining the update state of a safety strategy on each equipment node module, and obtaining project operation data;
and collecting the project operation data of all the project node modules in distributed arrangement through a big data analysis module, performing statistical analysis on the project operation data, providing equipment fault early warning and risk prediction, and issuing an adjustment strategy and a countermeasure to each project node module.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, databases, or other media used in embodiments provided herein may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
In summary, the present invention discloses a distributed black box system for travel equipment, a control method thereof, and a storage medium, wherein the method includes: collecting environmental data of the travel equipment and collecting equipment safety data of the travel equipment through an equipment node module; reporting the environment data and the equipment safety data collected by all the equipment node modules which are arranged in a distributed manner and operation data provided by project master control software to project node modules, formatting the equipment safety data and the environment data through the project node modules, analyzing key safety index states, determining the update state of a safety strategy on each equipment node module, and obtaining project operation data; and collecting the project operation data of all the project node modules in distributed arrangement through a big data analysis module, performing statistical analysis on the project operation data, providing equipment fault early warning and risk prediction, and issuing an adjustment strategy and a countermeasure to each project node module. By the method, the contradiction between long-term summary analysis of amusement project equipment data and timely response of equipment exception handling can be effectively solved; by adopting a distributed equipment node module, the functions of single nodes are simplified, the project deployment difficulty is reduced, the monitoring cost is reduced, and the data acquisition and strategy execution efficiency is improved; the real-time recording of the equipment and the environmental data can be met, the equipment data can be reported to the project node and the data center in time, and the observation, analysis and use of the overall health state of the project are met.
Based on the above embodiments, the present invention discloses a distributed black box system for a travel equipment, a control method thereof, and a storage medium, it should be understood that the application of the present invention is not limited to the above examples, and it will be apparent to those skilled in the art that modifications and variations can be made in the light of the above description, and all such modifications and variations are within the scope of the appended claims.
Claims (10)
1. A travel equipment distributed black box system, the system comprising:
the equipment node module is used for collecting environmental data of the travel equipment and collecting equipment safety data of the travel equipment;
the project node modules are used for collecting device safety data and environment data provided by all device node modules in distributed arrangement in each travel device in a project and operation data provided by project master control software, formatting the device safety data and the environment data, reporting the formatted device safety data and environment data, analyzing the state of a key safety index, and determining the update state of a safety strategy on each device node module;
and the big data analysis module is used for collecting project operation data of all the project node modules which are arranged in a distributed mode.
2. The travel equipment distributed black box system of claim 1, wherein the device node module is adapted to a plurality of communication protocols.
3. The traveling equipment distributed black box system of claim 1, wherein the device node module comprises:
the strategy execution unit is used for receiving the strategy issued by the project node module, updating the local strategy, monitoring the data of the acquisition equipment, comparing the data concerned by the strategy and judging whether to trigger an execution instruction specified by the strategy;
and the data acquisition unit is used for acquiring environmental data and equipment data.
4. The traveling equipment distributed black box system of claim 3, wherein said obtaining environmental data and device data comprises:
acquiring observation data corresponding to the environmental data sensor through an integrated environmental data sensor to obtain environmental data;
and acquiring monitoring data provided by the equipment through an equipment protocol communication interface to obtain equipment data.
5. The traveling equipment distributed black box system of claim 4, wherein the device protocol communication interface comprises a network interface, Wifi, bluetooth, 485, 232 serial port.
6. The system of claim 1, wherein the formatted reporting of the device security data and the environmental data is performed by encrypting the formatted reporting of the device security data and the environmental data in a project node module.
7. The travel equipment distributed black box system of claim 1, wherein the project node module comprises:
the system comprises a strategy management unit, a risk prediction information processing unit and a risk equipment node module, wherein the strategy management unit is used for receiving risk prediction information provided by a big data analysis module, identifying risk equipment sensitive data corresponding to the risk prediction information, adjusting a security strategy and issuing the strategy to the equipment node module corresponding to the risk prediction information;
and the data summarizing unit is used for summarizing the equipment safety data and the environment data reported by each equipment node module in the project and the operation data reported by the project total control software, and uniformly formatting all the data.
8. A method for controlling a distributed black box system of travel equipment according to any one of claims 1 to 7, wherein the method comprises:
collecting environmental data of the travel equipment and collecting equipment safety data of the travel equipment through an equipment node module;
reporting the environment data and the equipment safety data collected by all the equipment node modules which are arranged in a distributed manner and operation data provided by project master control software to project node modules, formatting the equipment safety data and the environment data through the project node modules, analyzing key safety index states, determining the update state of a safety strategy on each equipment node module, and obtaining project operation data;
and collecting the project operation data of all the project node modules in distributed arrangement through a big data analysis module, performing statistical analysis on the project operation data, providing equipment fault early warning and risk prediction, and issuing an adjustment strategy and a countermeasure to each project node module.
9. An intelligent terminal comprising a memory, and one or more programs, wherein the one or more programs are stored in the memory, and wherein the one or more programs being configured to be executed by the one or more processors comprises instructions for performing the method of claim 8.
10. A non-transitory computer readable storage medium, wherein instructions in the storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the method recited in claim 8.
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