CN111030853B - Information monitoring system based on full life cycle of equipment - Google Patents
Information monitoring system based on full life cycle of equipment Download PDFInfo
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Abstract
The application provides an information monitoring system based on equipment full life cycle, including perception system, information management system and at least one business processing system, through dispose a message server in advance, will perception system, information management system and each business processing system carry out communication connection through the message server each other, in order to realize data information between information management system and each business processing system is synchronous, realize by information management system carries out unified management to the information of equipment full life cycle in the thing networking. The system can enable the information management system to integrate and manage information of a series of operation nodes including delivery, installation, alarming, maintenance, unloading and the like in the whole life cycle of the equipment, so that all information under the current time node of the equipment can be obtained in a track in the process of monitoring the equipment, and the efficiency of monitoring and managing the equipment by a user is improved.
Description
Technical Field
The application belongs to the technical field of the Internet of things, and particularly relates to an information monitoring system based on a full life cycle of equipment.
Background
With the continuous development of project processes such as smart communities, smart cities and the like, the demand of various automatic fire-fighting facilities and safety monitoring internet of things facilities in the process of transformation of various large commercial complexes, high-rise public buildings and old residences is increasing, and therefore, the reliable and stable operation of installed equipment and systems is the key point of fire-fighting and safety monitoring work. At present, in some existing internet of things monitoring systems related to equipment safety supervision, communication among service plates is achieved through strong coupling, configuration relations are complex, dependency is strong, maintenance cost is high, and system expansion is not facilitated.
Disclosure of Invention
In view of this, an embodiment of the present application provides an information monitoring system based on a full life cycle of a device, which aims to at least solve one of the technical defects that communication between service systems in an existing internet of things monitoring system is realized through strong coupling, association configuration relationships are complex and complicated, dependency is strong, maintenance cost is too high, service system expansion is not facilitated, and the like.
A first aspect of an embodiment of the present application provides an information monitoring system based on a full device life cycle, including: the system comprises a perception system, an information management system and at least one service processing system, wherein the perception system, the information management system and the service processing system are in data communication with each other through a message server, and the perception system, the information management system and the service processing system are in data communication with each other through the message server, wherein:
the sensing system is used for acquiring operation and maintenance information of the equipment of the Internet of things and transmitting the operation and maintenance information to the information management system, wherein the operation and maintenance information comprises registration information and operation information of the equipment of the Internet of things;
the service processing system is used for performing service processing operation according to the operation and maintenance information and synchronizing the operation information to the information management system;
the information management system includes:
the manufacturer business module is used for storing the registration information of the Internet of things equipment;
the engineering/maintenance service module is used for managing the engineering/maintenance project information of the Internet of things equipment;
the main body service module is used for monitoring the current running state of the equipment of the Internet of things according to the running information and generating an equipment information list of the equipment to be maintained;
the information synchronization module is used for synchronizing the operation and maintenance information to a corresponding service processing system in a mysql master-slave copying mode according to the registration information;
and the file storage module is used for performing distributed storage on files generated by the business processing operation of the business processing system.
With reference to the first aspect, in a first possible implementation manner of the first aspect, the message server includes: redis message middleware, mq message middleware, and/or kafka message middleware.
With reference to the first aspect, in a second possible implementation manner of the first aspect, in the information management system, the engineering/maintenance service module includes:
the project information management module is used for managing project information such as project contracts, project members, project areas, equipment installation, project acceptance, project equipment, building information and the like;
and the maintenance information management module is used for managing maintenance information such as equipment repair, equipment maintenance, maintenance contracts, project members and the like.
With reference to the first aspect, in a third possible implementation manner of the first aspect, in the information management system, the main service module includes:
the information reporting module is used for reporting the current state information of the equipment to be maintained;
and the information tracking module is used for tracking and recording the current maintenance flow information of the equipment to be maintained in real time.
With reference to the first aspect, in a fourth possible implementation manner of the first aspect, in the information management system, the main service module further includes:
the electric quantity detection module is used for detecting the current electric quantity state information of the equipment of the Internet of things, wherein the current electric quantity state information comprises equipment quantity information counted according to preset electric quantity state grades in the Internet of things and residual electric quantity information corresponding to each piece of equipment;
the maintenance strategy generation module is used for modeling the equipment quantity information counted according to the preset electric quantity state grade in the Internet of things by adopting a Markov decision process, and determining an optimal battery replacement strategy which enables the comprehensive maintenance cost to be minimum in a plurality of battery replacement strategies in a battery replacement strategy set, wherein each battery replacement strategy corresponds to a battery replacement condition;
the list generation module is used for comparing the residual capacity information corresponding to each device in the Internet of things with the battery replacement condition of the optimal battery replacement strategy so as to generate a list according to the device of the Internet of things meeting the battery replacement condition of the optimal battery replacement strategy, wherein the list is a device information list of the battery to be replaced.
With reference to the fourth possible implementation manner of the first aspect, in a fifth possible implementation manner of the first aspect, the maintenance policy generation module includes:
the model establishing module is used for establishing a Markov battery replacement decision model according to the current electric quantity of the equipment and the battery replacement strategy set;
the comprehensive maintenance cost function determining module is used for establishing a comprehensive maintenance cost function according to the Markov battery replacement decision model;
the comprehensive cost determination module is used for calculating the comprehensive cost corresponding to each strategy in the battery replacement strategy set according to the current electric quantity of the equipment, the Markov battery replacement decision model and the comprehensive maintenance cost function;
and the strategy determining module is used for comparing the comprehensive cost corresponding to the battery replacement strategy in the battery replacement strategy set and taking the battery replacement strategy with the lowest comprehensive cost as the optimal battery replacement strategy.
With reference to the fifth possible implementation manner of the first aspect, in a sixth possible implementation manner of the first aspect, the comprehensive maintenance cost function is:
Ha i (k)＝Da i (k)+Fa i (k) wherein, Da i (k) Adopts a battery replacement strategy a i Maintenance cost function of, Fa i (k) Adopts a battery replacement strategy a i K is the number of the internet of things devices.
Compared with the prior art, the embodiment of the application has the advantages that:
the application provides an information monitoring system based on equipment full life cycle through dispose a message server in advance, perception system, information management system and each business processing system carry out communication connection through the message server each other, in order to realize data information synchronization between information management system and each business processing system realizes by information management system carries out unified management to the information of equipment full life cycle in the thing networking. Therefore, the information management system can integrate and manage the information of a series of operation nodes including delivery, installation, alarming, maintenance, unloading and the like in the whole life cycle of the equipment, the unified installation and monitoring of the equipment are realized, all information under the current time node of the equipment can be obtained by each service processing system in a tracking manner in the monitoring process of the equipment, and the efficiency of monitoring and managing the equipment by a user is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic block diagram of an information monitoring system based on a full life cycle of a device according to an embodiment of the present application during data communication through a message server;
fig. 2 is a schematic block diagram of a workflow of an information monitoring system based on a full device life cycle according to an embodiment of the present application;
fig. 3 is a schematic diagram illustrating a transition of a device power state in an information monitoring system based on a full device life cycle according to an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
In order to explain the technical solution described in the present application, the following description will be given by way of specific examples.
Referring to fig. 1 and fig. 2, fig. 1 is a schematic block diagram of an information monitoring system based on a full lifecycle of a device according to an embodiment of the present application, in which data communication is performed through a message server; fig. 2 is a schematic block diagram of a workflow of an information monitoring system based on a full device life cycle according to an embodiment of the present application.
The details are as follows:
the information monitoring system based on the full life cycle of the equipment is applied to various scenes of automatic fire-fighting facilities and safety monitoring Internet of things facilities, and comprises a sensing system 10, an information management system 20 and at least one service processing system 30. And a message server is pre-configured in the information monitoring system based on the full life cycle of the device, and the sensing system 10, the information management system 20 and each service processing system 30 are in communication connection with each other through the message server 40, so that data information synchronization between the information management system and each service processing system is realized, and the information management system 20 is used for uniformly managing the information of the full life cycle of the device in the internet of things. For example, the information management system 20 and the service processing system 30 synchronize the installation information of a certain device, and the service processing system 30 only needs to send the installation information of the device that is successfully installed to the message server 40, that is, it indicates that the information synchronization task is completed, and does not need to wait for the information management system 20 to return a response instruction to end the information synchronization task. The information management system 20 can automatically synchronize the installation information of the device transmitted by the service processing system 30 into the information management system 20 by automatically listening for the message in the message server 40 when listening for the installation information of the device, so that the information synchronization task between the information management system 20 and the service processing system 30 for the installation information of a certain device is completed. In this embodiment, the sensing system 10, the information management system 20, and the service processing systems 30 are communicatively connected to each other through the message server 40, so that there is no association relationship between the systems, an intricate configuration relationship between the systems can be eliminated, the dependency between the systems is reduced, and strong coupling between the systems is avoided. In the present embodiment, an mq message is sent by the information management system 20 to the message server 40 based on the message server 40, and an mq message is consumed by the service processing system 30 from the message server 40. Moreover, the sensing system 10 may call a communication service interface 21 in the information management system 20 through http to send monitoring information or alarm information to the service processing system 30; the information management system 20 may also send an http request through the communication service interface 21 to invoke each service processing system 30 and send an http request to the sensing system through the communication service interface 21 to obtain the registered device information in the internet of things.
In this embodiment, the sensing system 10 is configured to acquire operation and maintenance information of an internet of things device, and transmit the operation and maintenance information to the information management system 20, where the operation and maintenance information includes registration information and operation information of the device. Specifically, based on the service of the internet of things system, the sensing system 10 monitors the device in the internet of things, including a series of operation processes such as leaving factory, installing, alarming, maintaining, and uninstalling, which may occur in a life cycle of the device, and obtains operation and maintenance information of the device. The operation and maintenance information comprises registration information of the new equipment generated when the new equipment is installed in the Internet of things and/or operation information which changes the original state of the equipment and is generated when the equipment in the Internet of things is subjected to operations such as alarming, maintenance and unloading. The registration information may include information such as an identification code, a manufacturer, a model, an owner, an installation location, and installation time of the internet of things device. The operation information may include information such as detection data, an operation state, remaining power of the internet of things device, and a device fault code acquired by the internet of things device.
In this embodiment, the service processing system 30 is configured to perform a service processing operation according to the operation and maintenance information, and synchronize operation information into the information management system 20. Specifically, the service processing system 30 may perform a service processing operation according to the operation and maintenance information, and synchronize the operation information to the information management system. After the business processing operation is completed, the executed operation information can be fed back to the information management system 20, so that the information management system 20 can uniformly manage the operation information generated in the whole life cycle of the internet of things equipment, the equipment can be monitored in each business processing system in a track manner, and the monitoring and management efficiency is improved.
In the present embodiment, the information management system 20 includes:
the manufacturer business module is used for storing the registration information of the Internet of things equipment;
the engineering/maintenance service module is used for managing engineering/maintenance project information of the Internet of things equipment;
the main body service module is used for monitoring the current running state of the equipment of the Internet of things according to the running information and generating an equipment information list of the equipment to be maintained;
the information synchronization module is used for synchronizing the operation and maintenance information to a corresponding service processing system in a mysql master-slave copying mode according to the registration information;
and the file storage module is used for performing distributed storage on files generated by the business processing operation of the business processing system.
The information management system 20 obtains the operation and maintenance information of the device through data communication with the sensing system 10, and it is understood that the operation and maintenance information of the device may be obtained by the information management system actively sending a request or by the sensing system actively transmitting the request. When the information management system 20 obtains the operation and maintenance information transmitted by the sensing system 10, the operation and maintenance information may be classified and stored according to the content of the operation and maintenance information, and the operation and maintenance information is synchronized to each service processing system 30, so that the data information between the information management system 20 and each service processing system 30 is synchronized, and each service processing system 30 performs corresponding service processing operation according to the operation and maintenance information. Moreover, in the information management system, various information such as project information, registration information, running state information, backlog and the like of the internet of things equipment can be displayed in a multi-dimensional manner, so that a user can simply and quickly acquire required information when using the information monitoring system based on the full life cycle of the equipment, and the running condition of the equipment can be known in the information management system at a glance. Specifically, the information management system may configure a business module for classifying management device information according to a business object involved in a device lifecycle. When the information management system acquires the operation and maintenance information transmitted by the sensing system, the service object of the operation and maintenance information can be identified according to the content of the operation and maintenance information, and the operation and maintenance information is stored in the service module corresponding to the service object of the operation and maintenance information in the information management system. There may be more than one business object in the full life cycle of the device, including, for example, the factory manufacturer of the device, the engineering/maintenance unit of the device, the body unit using the device, and so on. In this embodiment, the information management system is provided with a manufacturer service module, an engineering/maintenance service module, and a main service module, respectively, for each service object in the full life cycle of the device.
And the manufacturer service module is used for storing the registration information of the equipment of the Internet of things. In this embodiment, when the sensing system monitors that a new device is in the internet of things, the manufacturer service module registers and stores registration information of the new device, and registration and network access in the information management system are realized. The registration information includes factory information and device model information of the new device. Moreover, the manufacturer service module can also perform device data statistics such as use data or operation data on devices in the Internet of things, and integrate operation conditions and operation data of the devices in the whole Internet of things environment. Therefore, equipment manufacturers can know the product sale flow direction, know the installation and operation conditions of the equipment and know the influence of the external environment on the operation of the equipment through manufacturer service modules in the information management system, and accordingly the product quality and the sale strategy are improved and optimized by using the operation data.
The engineering/maintenance service module is used for managing engineering/maintenance project information of the Internet of things equipment. In an internet of things environment, different devices may correspond to different project projects, and the same device may also correspond to different project projects in different application scenarios. In this embodiment, monitor the equipment that has installed in the thing networking through the perception system, the state change of comprehensive supervisory equipment realizes carrying out joint management to equipment according to the project engineering to in time maintain and maintain the equipment that breaks down in the project management and control in-process.
The main body service module is used for monitoring the current running state of the equipment of the Internet of things according to the running information and generating an equipment information list of the equipment to be maintained. For the equipment with faults, the main body service module can acquire and record the current operation state information of the equipment in real time by monitoring the operation state of the equipment, and generate an equipment information list of the equipment to be maintained, a main body unit using the equipment can remotely master the operation state of the equipment through the main body service module, communicate with a terminal of maintenance personnel, send equipment alarm or maintenance information to the maintenance personnel, and maintain the equipment with faults. The main body unit using the equipment can also remotely monitor information such as the maintenance state of the equipment, the maintenance progress and the like through the main body business module, so that the service quality of the engineering maintenance unit is known, and the maintenance service efficiency of the equipment is improved. In this embodiment, the main service module includes an information reporting module and an information tracking module. The information reporting module is used for reporting the current state information of the equipment to be maintained, and comprises the steps of communicating with maintenance personnel and sending the current state information of the equipment with the fault to the maintenance personnel; the information tracking module is used for tracking and recording the current maintenance flow information of the equipment to be maintained in real time, and the current maintenance flow information comprises the current maintenance progress information of the equipment.
The information synchronization module is specifically based on that an information database is built in the information management system, and the information database is used for storing all information about the internet of things equipment, such as project information, registration information, running state information, backlogs and the like. When the information management system acquires the operation and maintenance information transmitted by the perception system, the operation and maintenance information is stored in the information database. And further, based on the information database, an information synchronization module is arranged in the information management system and used for synchronizing the operation and maintenance information to a corresponding service processing system in a mysql master-slave copying mode according to the registration information.
The file storage module is used for performing distributed storage on files generated by the business processing operation of the business processing system, and the distributed storage includes file storage, file synchronization, file access (such as file uploading and file downloading) and the like. In this embodiment, the file storage module is configured as a fastdfs distributed file system, and the fastdfs distributed file system adopts a packet storage manner. Based on a Tracker (Tracker server) and a Storage node (Storage server) in the fastdfs distributed file system, only the state information of the grouping and Storage nodes is recorded by taking the Tracker as a central node, and file index information is not recorded, so that the memory amount is reduced, and load balancing and scheduling during distributed file Storage are realized. In this embodiment, distributed storage of a file generated by performing a service processing operation on the service processing system is implemented by a file storage module configured by the information management system, so that the file management and the service processing are separately deployed by the information monitoring system based on the full life cycle of the device, thereby improving the processing performance of the service processing system.
The information monitoring system based on the full life cycle of the equipment in the embodiment integrates and manages information of a series of operation nodes including delivery, installation, alarming, maintenance, unloading and the like in the full life cycle of the equipment through the information management system, so that the equipment is uniformly installed and monitored, all information under the current time node of the equipment can be obtained by all business processing systems in a tracking manner in the process of monitoring the equipment, and the efficiency of monitoring and managing the equipment by a user is improved. The information monitoring system based on the full life cycle of the equipment is applied to various large-scale commercial complexes, high-rise public buildings and old house reconstruction projects, can be used for ensuring that the installed equipment and the system run reliably and stably, and solves the problems that the monitoring equipment is complex in installation environment, low in inspection efficiency, untimely in fault maintenance, unclear in historical fault information of the equipment, lack of data support in instruction improvement, incompatible in protocol, difficult to master in the full flow data of the equipment, difficult in equipment source tracing and the like.
In some embodiments of the present application, the information monitoring system based on the full device life cycle may further flexibly configure one or more service processing systems, and has better service extensibility.
In some embodiments of the present application, the message server 40 includes, but is not limited to: redis message middleware, mq message middleware, and/or kafka message middleware. The redis message middleware can improve the performance of the information monitoring system based on the full life cycle of the device by using a redis caching technology, and reduce the load of a database in the information management system. The mq message middleware may reduce coupling between systems by using efficient and reliable messaging mechanisms for data communication that is independent of the information management system 20. The kafka message middleware can realize asynchronous data communication between the information management system and each service processing system through a distributed message queue, and has high performance, persistence, multi-copy backup and strong expansion capability.
In some embodiments of the present application, in the information management system, the engineering/maintenance business module includes, but is not limited to, an engineering information management module and a maintenance information management module.
In an engineering project, the engineering information management module is used for managing engineering information such as engineering contracts, project members, project areas, equipment installation, project acceptance, project equipment, building information and the like.
In the maintenance project, the maintenance information management module is used for managing maintenance information such as equipment repair, equipment maintenance, maintenance contract, project members and the like. The maintenance information management module can also comprise a maintenance equipment information management submodule, an equipment repair statistical submodule and an equipment maintenance statistical submodule, wherein the maintenance equipment information management module is used for storing detailed information of maintenance equipment; the equipment repair statistical module is used for counting statistical information of equipment needing maintenance; the equipment maintenance statistics module is used for recording equipment maintenance data. Therefore, an engineering/maintenance unit can know the installation and debugging conditions of engineering projects, remotely master the fault condition of equipment and acquire the historical operation record of the equipment through an engineering/maintenance service module in the information management system, so that the conventional daily manual operation and maintenance cost is reduced, and the problems of unsmooth communication of maintenance service and the like are solved.
In some embodiments of the present application, in the information management system, the main service module may include an electric quantity detection module, a maintenance policy generation module, and a list generation module. Wherein:
the electric quantity detection module is used for detecting the current electric quantity state information of the equipment of the Internet of things, wherein the current electric quantity state information comprises equipment quantity information counted according to preset electric quantity state grades in the Internet of things and residual electric quantity information corresponding to each piece of equipment;
the maintenance strategy generation module is used for modeling the equipment quantity information counted according to the preset electric quantity state grade in the Internet of things by adopting a Markov decision process, and determining an optimal battery replacement strategy which enables the comprehensive maintenance cost to be minimum in a plurality of battery replacement strategies in a battery replacement strategy set, wherein each battery replacement strategy corresponds to a battery replacement condition;
the list generation module is used for comparing the residual capacity information corresponding to each device in the Internet of things with the battery replacement condition of the optimal battery replacement strategy so as to generate a list according to the device of the Internet of things meeting the battery replacement condition of the optimal battery replacement strategy, wherein the list is a device information list of the battery to be replaced.
In this embodiment, the current electric quantity state information of the internet of things equipment can be acquired by the electric quantity detection module at a set time, wherein the current electric quantity state information of the internet of things equipment comprises equipment quantity information obtained by counting the quantity of equipment in the current internet of things according to preset different electric quantity state levels and corresponding residual electric quantity information of each equipment in the current internet of things. The maintenance strategy generation module models the device quantity information in different electric quantity states obtained according to statistics by adopting a Markov decision process, and determines an optimal battery replacement strategy which enables the comprehensive maintenance cost to be minimum in a plurality of battery replacement strategies in a battery replacement strategy set, wherein each battery replacement strategy corresponds to a battery replacement condition. And then, the list generation module compares the residual electric quantity information of each device in the current Internet of things with the battery replacement condition of the optimal battery replacement strategy so as to generate a list according to the devices of the Internet of things meeting the battery replacement condition of the optimal battery replacement strategy, wherein the list is a device information list of the battery to be replaced.
In some embodiments of the present application, the maintenance policy generation module includes:
the model establishing module is used for establishing a Markov battery replacement decision model according to the current electric quantity of the equipment and the battery replacement decision set;
a comprehensive maintenance cost function determination module for establishing a comprehensive maintenance cost function according to the Markov battery replacement decision model;
the comprehensive cost determination module is used for calculating the comprehensive cost corresponding to each decision in the battery replacement decision set according to the current electric quantity of the equipment, the Markov battery replacement decision model and the comprehensive maintenance cost function;
and the decision determining module is used for comparing the comprehensive cost corresponding to the battery replacement decision in the battery replacement decision set and taking the battery replacement decision with the lowest comprehensive cost as the optimal battery replacement decision.
Referring to fig. 3, fig. 3 is a schematic diagram illustrating a power state transition of an internet of things device (for example, a sensor in a wireless sensor network) in an information monitoring system based on a full device life cycle according to an embodiment of the present disclosure. Because the number of sensors in a sensing system is large, when a power supply strategy for replacing batteries of equipment at regular intervals is carried out, if only the equipment with extremely low electric quantity is maintained, more equipment can be disconnected or the work is unstable, and a large amount of hidden cost is brought. If the battery of the equipment is replaced when the electric quantity is high, the residual electric quantity of some batteries is wasted, and the maintenance cost is increased.
In the embodiment, a Markov battery replacement decision model is established by the model establishing module according to the current electric quantity of the equipment and the battery replacement decision set. The method specifically comprises the following steps: the method includes the steps of dividing the battery life of the device into a plurality of states in advance according to the battery life of the device, wherein the states include, but are not limited to, five levels of power states including high power (for example, a corresponding remaining power interval is 100% to 60%), medium power (for example, a corresponding remaining power interval is 30% to 60%), medium power (for example, a corresponding remaining power interval is 10% to 30%), low power (for example, a corresponding remaining power interval is 5% to 20%), and extremely low power (for example, a corresponding remaining power interval is 0% to 5%), and a battery replacement policy set including a plurality of battery replacement policies is established in advance. Each battery replacement strategy corresponds to a battery replacement condition for generating a list of devices for which the battery is to be replaced. For example, the set of battery replacement policies may include:
battery replacement strategy a 1 Only carrying out battery replacement treatment on equipment with extremely low power (the battery replacement condition is that the residual power is lower than 5%);
battery replacement strategy a 2 Performing battery replacement treatment on low-power equipment and extremely low-power equipment (the battery replacement condition is that the residual power is lower than 20%);
battery replacement strategy a 3 The battery replacement process is performed for a medium-low battery device, a low battery device, and an extremely low battery device (battery replacement condition is that the remaining battery capacity is less than 30%).
In this embodiment, the comprehensive cost determining module calculates the comprehensive cost corresponding to each policy in the battery replacement policy set according to the current electric quantity of the device, the markov battery replacement decision model and the comprehensive maintenance cost function. The method specifically comprises the following steps: establishing an equipment power detection period according to a certain time interval, counting historical power state information of the equipment of the internet of things in a preset range according to the power detection period, and constructing a power state transition probability matrix of the equipment when a battery is not replaced according to the historical power state information of the equipment in the preset range, for example, at a set moment, the quantity of the equipment in high power is M1, after one power detection period, M2 equipment is converted from the high power state to a medium power state, M3 equipment is converted from the high power state to the medium power state, and the like, at the moment, the equipment power detection period can be determined according to the above informationCalculating the electric quantity state transition probability p according to various electric quantity state transition conditions after one electric quantity detection period ij I.e. the probability that the device transitions from state i to state j. If the probability of switching from the high-power state to the medium-high-power state is p 12 The probability of transitioning from a high state to a medium state is p, M2/M1 13 M3/M1. Therefore, the power state transition probability matrix of the equipment without replacing the battery can be obtained by combining the power state transition probabilities calculated according to the power state transition conditions. Based on different battery replacement strategies, acquiring an electric quantity state transition probability matrix Pi corresponding to the ith battery replacement strategy, calculating a steady state probability Pi under the ith battery replacement strategy through the electric quantity state transition probability matrix Pi corresponding to the battery replacement strategy and calculating the steady state probability Pi under the ith battery replacement strategy respectively i ＝(π i1 ，π i2 ，π i3 ，π i4 ，π i5 ). The system of equations used to calculate the steady state probability is:
further, the steady-state probability is substituted into a comprehensive maintenance cost function composed of a maintenance cost function and a drop-off cost function to calculate a battery replacement cost value corresponding to each battery replacement condition.
In this embodiment, the policy determination module compares the comprehensive cost corresponding to the battery replacement policy in the battery replacement policy set, and takes the battery replacement policy with the lowest comprehensive cost as the optimal battery replacement policy. The method specifically comprises the following steps: and taking the battery replacement condition corresponding to the minimum battery replacement cost value as a battery replacement condition for generating a device list of the battery to be replaced.
In this embodiment, the comprehensive maintenance cost function is established by a comprehensive maintenance cost function determination module according to a Markov battery replacement decision model. The comprehensive maintenance cost function is: ha i (k)＝Da i (k)+Fa i (k)；Da i (k) Is to adopt a strategy of i Maintenance cost function of, Fa i (k) Is a drop penalty function, and k is the number of the internet of things devices. For example, based on three of the above battery replacement strategy setsThe battery replacement strategy, the comprehensive maintenance cost function corresponding to each battery replacement strategy is respectively as follows:
comprehensive maintenance cost function Ha corresponding to battery replacement strategy 1 1 (k)＝Da 1 (k)+Fa 1 (k)，
Where C is a drop penalty coefficient (which may be a constant preset empirically). Da (Da) 1 (k)＝k*π 15 *T 1 Wherein T is 1 The remaining power cost coefficient under the condition of extremely low power can be obtained by the average remaining power percentage and the battery cost.
Comprehensive maintenance cost function Ha corresponding to battery replacement strategy 2 2 (k)＝Da 2 (k)+Fa 2 (k)，
Da 2 (k)＝k*(π 15 *T 1 +π 14 *T 2 ). Wherein T is 2 The residual capacity cost coefficient under the low capacity condition.
Comprehensive maintenance cost function Ha corresponding to battery replacement strategy 3 1 (k)＝Da 1 (k)+Fa 1 (k)，
Da 3 (k)＝k*(π 15 *T 1 +π 14 *T 2 +π 13 *T 3 ). Wherein T is 3 The cost coefficient of the residual electric quantity under the condition of medium and low electric quantity.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other ways. For example, the above-described embodiments of the apparatus/terminal device are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The above-mentioned embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.
Claims (6)
1. The utility model provides an information monitoring system based on equipment full life cycle, uses in all kinds of automatic fire control facilities and safety monitoring thing networking facility scenes, its characterized in that, including perception system, information management system and at least one business processing system, the perception system the information management system with data communication is carried out through message server each other to the business processing system, wherein:
the sensing system is used for acquiring operation and maintenance information of the equipment of the Internet of things and transmitting the operation and maintenance information to the information management system, wherein the operation and maintenance information comprises registration information and operation information of the equipment of the Internet of things; based on the service of the Internet of things system, the sensing system monitors equipment in the Internet of things, a series of operation processes including delivery, installation, alarming, maintenance and unloading which are possibly generated in the life cycle of the equipment are monitored, and operation and maintenance information of the equipment is obtained; the operation and maintenance information comprises registration information of the new equipment generated when the new equipment is installed in the Internet of things and/or operation information which changes the original state of the equipment and is generated when the equipment in the Internet of things is subjected to operations such as alarming, maintenance and unloading; the registration information comprises the information including the identification code, the manufacturer, the model, the owner, the installation position and the installation time of the equipment of the Internet of things; the operation information comprises information including detection data, operation states, residual electric quantity of the Internet of things equipment and equipment fault codes, which are acquired by the Internet of things equipment;
the service processing system is used for performing service processing operation according to the operation and maintenance information and synchronizing the operation information to the information management system;
the information management system includes:
the manufacturer business module is used for storing the registration information of the Internet of things equipment;
the engineering/maintenance service module is used for managing engineering/maintenance project information of the Internet of things equipment;
the main body business module is used for monitoring the current running state of the equipment of the Internet of things according to the running information and generating an equipment information list of the equipment to be maintained; the main body service module comprises:
the electric quantity detection module is used for detecting the current electric quantity state information of the equipment of the Internet of things, wherein the current electric quantity state information comprises equipment quantity information counted according to preset electric quantity state grades in the Internet of things and residual electric quantity information corresponding to each piece of equipment;
the maintenance strategy generation module is used for modeling the equipment quantity information counted according to the preset electric quantity state grade in the Internet of things by adopting a Markov decision process, and determining an optimal battery replacement strategy which enables the comprehensive maintenance cost to be minimum in a plurality of battery replacement strategies in a battery replacement strategy set, wherein each battery replacement strategy corresponds to a battery replacement condition;
the list generation module is used for comparing the residual electric quantity information corresponding to each device in the Internet of things with the battery replacement condition of the optimal battery replacement strategy so as to generate a list according to the devices of the Internet of things meeting the battery replacement condition of the optimal battery replacement strategy, wherein the list is a device information list of a battery to be replaced;
the information synchronization module is used for synchronizing the operation and maintenance information to a corresponding service processing system in a mysql master-slave copying mode according to the registration information;
and the file storage module is used for performing distributed storage on files generated by the business processing operation of the business processing system.
2. The device full lifecycle-based information monitoring system of claim 1, wherein the message server comprises: redis message middleware, mq message middleware, and/or kafka message middleware.
3. The equipment full-life-cycle based information monitoring system of claim 1, wherein in the information management system, the engineering/maintenance service module comprises:
the project information management module is used for managing project contracts, project members, project areas, equipment installation, project acceptance, project equipment and building information project information;
and the maintenance information management module is used for managing equipment repair, equipment maintenance, maintenance contract and project member maintenance information.
4. The system according to claim 1, wherein in the information management system, the main body service module comprises:
the information reporting module is used for reporting the current state information of the equipment to be maintained;
and the information tracking module is used for tracking and recording the current maintenance flow information of the equipment to be maintained in real time.
5. The device full-life-cycle-based information monitoring system of claim 1, wherein the maintenance policy generation module comprises:
the model establishing module is used for establishing a Markov battery replacement decision model according to the current electric quantity of the equipment and the battery replacement strategy set;
the comprehensive maintenance cost function determining module is used for establishing a comprehensive maintenance cost function according to the Markov battery replacement decision model;
the comprehensive cost determination module is used for calculating the comprehensive cost corresponding to each strategy in the battery replacement strategy set according to the current electric quantity of the equipment, the Markov battery replacement decision model and the comprehensive maintenance cost function;
and the strategy determining module is used for comparing the comprehensive cost corresponding to the battery replacement strategy in the battery replacement strategy set and taking the battery replacement strategy with the lowest comprehensive cost as the optimal battery replacement strategy.
6. The device full lifecycle-based information monitoring system according to claim 5, wherein the comprehensive maintenance cost function is:
Ha i (k)＝Da i (k)+Fa i (k) wherein, Da i (k) Adopts a battery replacement strategy a i Maintenance cost function of, Fa i (k) Adopts a battery replacement strategy a i K is the number of the internet of things devices.
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