WO2018232847A1 - 一种基于物联网的设备维护管理方法及系统 - Google Patents

一种基于物联网的设备维护管理方法及系统 Download PDF

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Publication number
WO2018232847A1
WO2018232847A1 PCT/CN2017/096027 CN2017096027W WO2018232847A1 WO 2018232847 A1 WO2018232847 A1 WO 2018232847A1 CN 2017096027 W CN2017096027 W CN 2017096027W WO 2018232847 A1 WO2018232847 A1 WO 2018232847A1
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Prior art keywords
maintenance
information
terminal
order
equipment
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PCT/CN2017/096027
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English (en)
French (fr)
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杜光东
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深圳市盛路物联通讯技术有限公司
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Publication of WO2018232847A1 publication Critical patent/WO2018232847A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/20—Administration of product repair or maintenance
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W84/00—Network topologies
    • H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks

Definitions

  • the present invention relates to the field of equipment maintenance, and in particular, to an apparatus and system for managing maintenance of an Internet of Things.
  • the existing equipment maintenance method is that the user of the equipment notifies the maintenance service party when the fault is found or when the equipment needs maintenance and repair, and then the maintenance service party provides the repair service to the door. This way, the equipment failure information cannot be notified to the maintenance service party in time. Moreover, because the maintenance service party needs to maintain a large number of equipment and is scattered, it is impossible to locate the equipment that needs to be repaired in time, which will result in untimely maintenance and bring losses to the user of the equipment.
  • the present invention provides a device maintenance management method and system based on the Internet of Things.
  • the present invention provides an Internet of Things-based device maintenance management method, including the following steps:
  • Receiving device monitoring data reported by the signal collecting terminal and location information of the device
  • a maintenance work order is generated according to the fault alarm information and the position information of the device and is sent to the maintenance terminal, so that the maintenance personnel can handle the fault according to the maintenance work order.
  • the invention provides an equipment maintenance management method based on the Internet of Things.
  • the maintenance task can be timely issued when the fault is found, and the maintenance personnel can accurately arrive at the equipment site for maintenance, and reduce the intermediate information.
  • the method further includes receiving and storing fault processing information reported by the maintenance terminal, the fault processing information including a fault cause, a faulty component, a repair method, a repair start time, and a maintenance personnel.
  • the fault handling process is recorded, so that it is convenient to find and summarize the fault handling experience and improve the maintenance skill of the maintenance personnel.
  • the fault processing information further includes a name and a quantity of the replacement component, and the spare part inventory quantity of the pre-stored replacement component is updated according to the name and quantity of the replacement component, when the spare parts inventory quantity is lower than a preset value, Generate a prompt message.
  • the situation of the replacement component can be tracked and recorded in real time, and the inventory is updated in real time, so that the inventory situation can be accurately grasped, and the automatic reminder is obtained when the inventory is small, and the purchase is timely.
  • the present invention provides an equipment maintenance management system based on the Internet of Things, including:
  • a signal receiving module configured to receive device monitoring data reported by the signal collecting terminal and location information of the device
  • the fault alarm module is configured to generate fault alarm information when determining that the monitoring data of the device is abnormal according to the device monitoring data reported by the signal collecting terminal;
  • the work order issuing module is configured to generate a maintenance work order according to the fault alarm information and the position information of the equipment, and send the repair work order to the maintenance terminal, so that the maintenance personnel can handle the fault according to the maintenance work order.
  • the invention provides an equipment maintenance management system based on the Internet of Things.
  • the maintenance task can be timely issued when the fault is found, and the maintenance personnel can accurately arrive at the equipment site for maintenance, reducing the intermediate information.
  • system further includes a storage module, configured to receive and store fault processing information reported by the maintenance terminal, where the fault processing information includes a fault cause, a faulty component, a repair method, a repair start time, and a maintenance personnel.
  • the fault handling process is recorded, so that it is convenient to find and summarize the fault handling experience and improve the maintenance skill of the maintenance personnel.
  • system further includes an update module and a prompting module
  • the fault processing information further includes a name and a quantity of the replacement component
  • the update module is configured to update the spare parts of the pre-stored replacement component according to the name and quantity of the replacement component.
  • the quantity of the inventory, the prompting module is configured to generate prompt information when the quantity of the spare parts inventory is lower than a preset value.
  • the situation of the replacement component can be tracked and recorded in real time, and the inventory is updated in real time, so that the inventory situation can be accurately grasped, and the automatic reminder is obtained when the inventory is small, and the purchase is timely.
  • FIG. 1 is a schematic flowchart of a device maintenance management method based on an Internet of Things according to an embodiment of the present invention
  • FIG. 2 is a schematic flowchart of another method for maintaining and managing an equipment based on the Internet of Things according to an embodiment of the present invention
  • FIG. 3 is a schematic flowchart of another method for maintaining and managing an equipment based on the Internet of Things according to an embodiment of the present invention
  • FIG. 4 is a schematic flowchart of another method for maintaining and managing an equipment based on the Internet of Things according to an embodiment of the present invention
  • FIG. 5 is a schematic flowchart of another method for maintaining and managing an equipment based on the Internet of Things according to an embodiment of the present invention
  • FIG. 6 is a schematic flowchart of another method for maintaining and managing an equipment based on the Internet of Things according to an embodiment of the present invention.
  • FIG. 7 is a schematic flowchart of another method for maintaining and managing an equipment based on the Internet of Things according to an embodiment of the present invention.
  • FIG. 8 is a schematic flowchart diagram of another method for maintaining and managing an equipment based on the Internet of Things according to an embodiment of the present invention.
  • FIG. 9 is a schematic structural diagram of an equipment maintenance management system based on an Internet of Things according to an embodiment of the present invention.
  • FIG. 10 is a schematic structural diagram of another device maintenance management system based on the Internet of Things according to an embodiment of the present invention.
  • FIG. 11 is a schematic structural diagram of another device maintenance management system based on the Internet of Things according to an embodiment of the present invention.
  • FIG. 12 is a schematic structural diagram of another device maintenance management system based on the Internet of Things according to an embodiment of the present invention.
  • FIG. 13 is a schematic structural diagram of another device maintenance management system based on the Internet of Things according to an embodiment of the present invention.
  • FIG. 1 is a system architecture diagram of an equipment maintenance management system based on an Internet of Things according to an embodiment of the present invention.
  • the system architecture includes at least: a signal collection terminal 110, a server 120, an Internet of Things access gateway 130, an Internet of Things service gateway 140, and a maintenance terminal 150.
  • FIG. 2 is a schematic flowchart of interaction between components in the equipment maintenance management system provided by the present invention. The details are described below.
  • the signal collection terminal 110 and the maintenance terminal 150 respectively send a service access request to the Internet of Things access gateway 130, wherein the service access request may include a terminal ID, service subscription authentication information, and the like.
  • the IoT access gateway 130 sends the service access request to the IoT service gateway 140, and the IoT service gateway 140 authenticates the service access request.
  • the message that the authentication is successful is sent to the Internet of Things access gateway 130, and the network communication transmission channel is established with the Internet of Things access gateway 130.
  • the IoT access gateway 130 transmits a message of successful authentication to the signal collection terminal 110 and the maintenance terminal 150.
  • the signal collecting terminal 110 and the maintenance terminal 150 send the device monitoring data and the location information to the Internet of Things access gateway 130.
  • the Internet of Things access gateway 130 transmits device monitoring data and location information to the Internet of Things service gateway 140 through a network communication transmission channel established with the IoT service gateway 140, and the IoT service gateway 140 monitors the data and location information of the device. Forwarded to server 120.
  • the server 120 determines, according to the preset logic, that the device monitoring data is abnormal, generates fault alarm information, and A maintenance work order is generated according to the fault alarm information and the position information and sent to the service terminal 150, so that the maintenance personnel can handle the fault according to the maintenance work order.
  • the system further includes an execution terminal 160, which is established between the Internet of Things access gateway 130 and the Internet of Things service gateway 140 introduced in the foregoing embodiment.
  • the communication transmission channel communicates with the server 120.
  • the server 120 when the server 120 determines that the device monitoring data is abnormal according to the preset logic, it also generates a control command, and sends the control command to the execution terminal 160 through the network communication transmission channel, and the execution terminal 160 executes the control instruction.
  • the boiler liquid level needs to be kept in the normal range. If the boiler liquid level is too low, the boiler may be dry-burned. If the liquid level is too high, the boiler steam pressure may be too high.
  • the signal collecting terminal 110 selects a liquid level sensor to monitor the boiler liquid level data, and the execution terminal 160 selects the water pump.
  • the server 120 When the liquid level is higher than the upper limit of the preset liquid level range, the server 120 generates a high liquid level alarm signal and a water pump stop signal.
  • the server When the liquid level is lower than the lower limit of the preset liquid level range, the server generates a low liquid level alarm signal and a water pump start signal. .
  • the functions of the Internet of Things access gateway 130 and the Internet of Things service gateway 140 are mainly to establish a signal collection terminal 110, a maintenance terminal 150, an execution terminal 160, and a server.
  • the data transmission channel between 120 therefore, will not be described in detail below in the process of the device maintenance management method based on the Internet of Things.
  • the main function is the server.
  • FIG. 3 is a schematic flowchart diagram of a device maintenance management method based on an Internet of Things according to an embodiment of the present invention. As shown in FIG. 3, the method includes:
  • Step 310 Receive device monitoring data reported by the signal collection terminal and location information of the device.
  • the signal collection terminal 110 transmits the collected device monitoring data and device location information to the server through the communication transmission channel established between the Internet of Things access gateway 130 and the Internet of Things service gateway 140 described in the foregoing embodiment.
  • the device monitoring data is used to determine whether the operating state of the device is abnormal.
  • different signal collecting terminals 110 are selected to collect device monitoring data.
  • the boiler device generally selects a pressure sensor to collect the boiler steam pressure, and selects a temperature sensor. Collect water temperature and so on.
  • Step 320 When it is determined that the device monitoring data is abnormal according to the device monitoring data reported by the signal collecting terminal, generating fault alarm information.
  • the server determines whether the monitoring data of the device is abnormal according to the preset abnormality determining logic, and if the abnormality generates a corresponding fault alarm information, different devices preset.
  • the abnormality judgment logic is different.
  • the liquid level monitoring of the boiler equipment is taken as an example for detailed description below.
  • the boiler liquid level needs to be kept within the normal range. If the boiler liquid level is too low, the boiler may appear. Dry burning phenomenon, the liquid level is too high will cause the boiler steam pressure to be too high.
  • the signal collection terminal uses the liquid level sensor to monitor the boiler liquid level data. When the liquid level is higher than the upper limit of the preset liquid level range, the server generates The high liquid level alarm signal generates a low level alarm signal when the liquid level is lower than the lower limit of the preset liquid level range.
  • Step 330 Generate a maintenance work order according to the fault alarm information and the location information of the device, and send it to the maintenance terminal, so that the maintenance personnel can handle the fault according to the maintenance work order.
  • the operation and maintenance personnel of the equipment receive the fault alarm information through the maintenance terminal, they can arrive at the equipment site for maintenance according to the location information of the equipment.
  • the device maintenance management method based on the Internet of Things provided by the embodiment of the invention can timely release the maintenance task when the fault is found through the real-time monitoring, tracking and positioning of the device, and facilitate the maintenance personnel to accurately arrive at the equipment site for maintenance, reducing the cause
  • the intermediate information flow is not smooth, resulting in inefficient time waste, effectively reducing the losses caused by the downtime to the enterprise, ensuring the timeliness, effectiveness and controllability of maintenance.
  • FIG. 4 is a schematic flowchart diagram of a device maintenance management method based on the Internet of Things according to an embodiment of the present invention. As shown in FIG. 4, the method includes:
  • Step 410 Receive device monitoring data reported by the signal collecting terminal and location information of the device.
  • the signal collection terminal 110 transmits the collected device monitoring data and device location information to the server through the communication transmission channel established between the Internet of Things access gateway 130 and the Internet of Things service gateway 140 described in the foregoing embodiment.
  • the device monitoring data is used to determine whether the operating state of the device is abnormal.
  • different signal collecting terminals 110 are selected to collect device monitoring data.
  • the boiler device generally selects a pressure sensor to collect the boiler steam pressure, and selects a temperature sensor. Collect water temperature and so on.
  • Step 420 When it is determined that the device monitoring data is abnormal according to the device monitoring data reported by the signal collecting terminal, generate fault alarm information and a control command.
  • the server determines whether the monitoring data of the device is abnormal according to the preset abnormality determining logic, and if the abnormality generates the corresponding fault alarm information, may also be according to a preset
  • the exception handling logic generates control instructions.
  • the abnormality judgment logic and the exception processing logic preset by different devices are different.
  • the liquid level monitoring of the boiler equipment is taken as an example for detailed description below.
  • the boiler liquid level needs to be kept in the normal range. If the boiler liquid level is too low, the boiler may dry out. If the liquid level is too high, the boiler steam pressure will be too high.
  • the signal collection terminal uses the liquid level sensor. To monitor the boiler liquid level data, and execute the terminal to select the water pump. When the liquid level is higher than the upper limit of the preset liquid level range, the server generates a high liquid level alarm signal and a water pump stop signal. When the liquid level is lower than the lower limit of the preset liquid level range, the server generates a low liquid level alarm signal and a water pump start signal.
  • the server determines that the monitoring data is abnormal, it generates fault alarm information, which increases the labor intensity of the operation and maintenance personnel.
  • the step can be refined into the following steps:
  • Step 4201 When it is determined that the device monitoring data is abnormal according to the device monitoring data reported by the signal collecting terminal, generate a control command and start timing;
  • Step 4202 When the timing duration reaches the preset duration, it is determined whether the current device monitoring data is abnormal, and if the abnormality is determined, the fault alarm information is generated.
  • the server can generate the control command and automatically adjust the state of the device, it can determine whether the device returns to normal according to the current device monitoring data collected by the signal collecting terminal after waiting for the preset time, thereby avoiding frequent alarms, thereby reducing operation and maintenance personnel. Labor intensity.
  • step 430 a control command is sent to the execution terminal, and the execution terminal performs a related action.
  • the server generation control instruction is sent to the corresponding execution terminal, and the execution terminal can adjust the abnormal condition of the device by executing the control instruction, thereby realizing automatic processing of the fault, for example, the water pump receives the water pump start signal. After the watering operation, the water pump stops the watering operation after receiving the pump stop signal.
  • Step 440 Generate a maintenance work order according to the fault alarm information and the location information of the device, and send it to the maintenance terminal, so that the maintenance personnel can handle the fault according to the maintenance work order.
  • the operation and maintenance personnel of the equipment receive the fault alarm information through the maintenance terminal, they can arrive at the equipment site for maintenance according to the location information of the equipment.
  • the device maintenance management method based on the Internet of Things provided by the embodiment of the invention can timely release the maintenance task when the fault is found through the real-time monitoring, tracking and positioning of the device, and facilitate the maintenance personnel to accurately arrive at the equipment site for maintenance, reducing the cause
  • the intermediate information flow is not smooth, resulting in inefficient time waste, effectively reducing the losses caused by the downtime to the enterprise, ensuring the timeliness, effectiveness and controllability of maintenance.
  • FIG. 5 is a schematic flowchart diagram of another method for maintaining and managing an equipment based on the Internet of Things according to an embodiment of the present invention. As shown in FIG. 5, the method includes:
  • Step 510 Receive device monitoring data reported by the signal collecting terminal and location information of the device.
  • the signal collection terminal 110 transmits the collected device monitoring data and device location information to the server through the communication transmission channel established between the Internet of Things access gateway 130 and the Internet of Things service gateway 140 described in the foregoing embodiment.
  • the device monitoring data is used to determine whether the operating state of the device is abnormal.
  • different signal collecting terminals 110 are selected to collect device monitoring data.
  • the boiler device generally selects a pressure sensor to collect the boiler steam pressure, and selects a temperature sensor. Collect water temperature and so on.
  • Step 520 When it is determined that the device monitoring data is abnormal according to the device monitoring data reported by the signal collecting terminal, generating fault alarm information.
  • the server determines whether the monitoring data of the device is abnormal according to the preset abnormality determining logic, and if the abnormality generates a corresponding fault alarm information, different devices preset.
  • the abnormality judgment logic is different.
  • the liquid level monitoring of the boiler equipment is taken as an example for detailed description below.
  • the boiler liquid level needs to be kept in the normal range. If the boiler liquid level is too low, the boiler may dry out. If the liquid level is too high, the boiler steam pressure will be too high.
  • the signal collection terminal uses the liquid level sensor.
  • the server To monitor the boiler liquid level data, when the liquid level is higher than the upper limit of the preset liquid level range, the server generates a high liquid level alarm signal. When the liquid level is lower than the lower limit of the preset liquid level range, the server generates a low liquid level alarm signal.
  • Step 530 Generate a maintenance work order according to the fault alarm information and the location information of the device, and send it to the maintenance terminal, so that the maintenance personnel can handle the fault according to the maintenance work order.
  • the operation and maintenance personnel of the equipment receive the maintenance work order through the maintenance terminal, they can arrive at the equipment site for maintenance according to the position information of the equipment.
  • Step 540 Generate planned maintenance information when it is determined that the equipment is repaired according to the pre-stored maintenance plan.
  • Planned maintenance is for equipment that requires regular maintenance, such as bearing lubrication, carbon brush replacement, etc. Planned maintenance can also identify potential hazards in the equipment in advance, avoid unplanned downtime, reduce downtime losses, and the server creates regular maintenance plans for the equipment. Planned maintenance information is generated periodically, such as inspection plans, scheduled maintenance plans, and annual overhaul plans.
  • Step 550 Generate a maintenance work order according to the planned maintenance information and the location information of the equipment, and send the maintenance work order to the maintenance terminal, so that the maintenance personnel repair the equipment according to the maintenance work order.
  • the operation and maintenance personnel of the equipment receive the maintenance work order through the maintenance terminal, they can arrive at the equipment site for maintenance according to the position information of the equipment.
  • the device maintenance management method based on the Internet of Things provided by the embodiment of the present invention can timely release the maintenance work order when the fault is found through the real-time monitoring, tracking and positioning of the device, and also periodically release the maintenance work order by establishing a maintenance plan.
  • the maintenance work order contains the location information of the equipment, which is convenient for the maintenance personnel to arrive at the equipment site for maintenance, reduce the waste of time caused by the poor flow of intermediate information, and effectively reduce the losses caused by the shutdown to the enterprise.
  • the timeliness of maintenance, the effectiveness, and the controllability of maintenance quality are examples of the maintenance work order.
  • FIG. 6 is a schematic flowchart diagram of another method for maintaining and managing an equipment based on the Internet of Things according to an embodiment of the present invention. As shown in FIG. 6, the method includes:
  • Step 610 Receive device monitoring data reported by the signal collecting terminal and location information of the device.
  • the signal collection terminal 110 transmits the collected device monitoring data and device location information to the server through the communication transmission channel established between the Internet of Things access gateway 130 and the Internet of Things service gateway 140 described in the foregoing embodiment.
  • the device monitoring data is used to determine whether the operating state of the device is abnormal.
  • different signal collecting terminals 110 are selected to collect device monitoring data.
  • the boiler device generally selects a pressure sensor to collect the boiler steam pressure, and selects a temperature sensor. Collect water temperature and so on.
  • Step 620 When it is determined that the device monitoring data is abnormal according to the device monitoring data reported by the signal collecting terminal, generating fault alarm information.
  • the server determines whether the monitoring data of the device is abnormal according to the preset abnormality determining logic, and if the abnormality generates a corresponding fault alarm information, different devices preset.
  • the abnormality judgment logic is different.
  • the liquid level monitoring of the boiler equipment is taken as an example for detailed description below.
  • the boiler liquid level needs to be kept in the normal range. If the boiler liquid level is too low, the boiler may dry out. If the liquid level is too high, the boiler steam pressure will be too high.
  • the signal collection terminal uses the liquid level sensor.
  • the server To monitor the boiler liquid level data, when the liquid level is higher than the upper limit of the preset liquid level range, the server generates a high liquid level alarm signal. When the liquid level is lower than the lower limit of the preset liquid level range, the server generates a low liquid level alarm signal.
  • Step 630 Generate a maintenance work order according to the fault alarm information and the location information of the device, and send the repair work order to the maintenance terminal.
  • the operation and maintenance personnel of the equipment receive the maintenance work order through the maintenance terminal to understand the fault alarm information and the position information of the equipment.
  • Step 640 When receiving the order information fed back by the plurality of service terminals, determining that the repair terminal of the earliest feedback order information is successful, generating a success message of the order and sending the message to the service terminal of the earliest feedback order information.
  • the maintenance personnel receive the maintenance work order, if they are processing other maintenance work, they cannot process the maintenance work order. You can choose not to take the order, and the other operation and maintenance personnel will take the order, and the server will send the successful information. For the earliest repair terminal, it is convenient for the operation and maintenance personnel who have received the order to go to the site to deal with the fault or execute the maintenance plan.
  • the device maintenance management method based on the Internet of Things provided by the embodiment of the invention can timely release the maintenance task when the fault is found through the real-time monitoring, tracking and positioning of the device, and facilitate the maintenance personnel to accurately arrive at the equipment site for maintenance, reducing the cause
  • the intermediate information flow is not smooth, resulting in inefficient time waste, effectively reducing the losses caused by the downtime to the enterprise, ensuring the timeliness, effectiveness and controllability of maintenance.
  • FIG. 7 is a schematic flowchart diagram of a device maintenance management method based on an Internet of Things according to an embodiment of the present invention. As shown in FIG. 7, the method includes:
  • Step 710 Receive device monitoring data reported by the signal collecting terminal and location information of the device.
  • the signal collection terminal 110 transmits the collected device monitoring data and device location information to the server through the communication transmission channel established between the Internet of Things access gateway 130 and the Internet of Things service gateway 140 described in the foregoing embodiment.
  • the device monitoring data is used to determine whether the operating state of the device is abnormal.
  • different signal collecting terminals 110 are selected to collect device monitoring data.
  • the boiler device generally selects a pressure sensor to collect the boiler steam pressure, and selects a temperature sensor. Collect water temperature and so on.
  • Step 720 when the device monitoring data reported by the signal collection terminal is determined, determining the device supervision When the measured data is abnormal, a fault alarm message is generated.
  • the server determines whether the monitoring data of the device is abnormal according to the preset abnormality determining logic, and if the abnormality generates a corresponding fault alarm information, different devices preset.
  • the abnormality judgment logic is different.
  • the liquid level monitoring of the boiler equipment is taken as an example for detailed description below.
  • the boiler liquid level needs to be kept in the normal range. If the boiler liquid level is too low, the boiler may dry out. If the liquid level is too high, the boiler steam pressure will be too high.
  • the signal collection terminal uses the liquid level sensor.
  • the server To monitor the boiler liquid level data, when the liquid level is higher than the upper limit of the preset liquid level range, the server generates a high liquid level alarm signal. When the liquid level is lower than the lower limit of the preset liquid level range, the server generates a low liquid level alarm signal.
  • Step 730 Generate a maintenance work order according to the fault alarm information and the location information of the device, and send the repair work order to the maintenance terminal.
  • the operation and maintenance personnel of the equipment receive the maintenance work order through the maintenance terminal to understand the fault alarm information and the position information of the equipment.
  • Step 740 when receiving the order information fed back by the plurality of service terminals within the preset time range after the maintenance work order is issued, determining, according to the position information of the service terminal included in the order information, the service terminal closest to the equipment distance If the order is successful, a success message of the order is generated and sent to the nearest service terminal of the distance device.
  • the server confirms that the repair terminal with the closest distance to the equipment has successfully received the order, so that the operation and maintenance personnel can arrive at the equipment site as soon as possible to carry out the work.
  • the device maintenance management method based on the Internet of Things provided by the embodiment of the invention can timely release the maintenance task when the fault is found through the real-time monitoring, tracking and positioning of the device, and facilitate the maintenance personnel to accurately arrive at the equipment site for maintenance, reducing the cause
  • the intermediate information flow is not smooth, resulting in inefficient time waste, effectively reducing the losses caused by the downtime to the enterprise, ensuring the timeliness, effectiveness and controllability of maintenance.
  • FIG. 8 is a schematic flowchart diagram of a device maintenance management method based on an Internet of Things according to an embodiment of the present invention. As shown in Figure 8, the method includes:
  • Step 810 Receive device monitoring data reported by the signal collecting terminal and location information of the device.
  • the signal collection terminal 110 transmits the collected device monitoring data and device location information to the server through the communication transmission channel established between the Internet of Things access gateway 130 and the Internet of Things service gateway 140 described in the foregoing embodiment.
  • the device monitoring data is used to determine whether the operating state of the device is abnormal.
  • different signal collecting terminals 110 are selected to collect device monitoring data.
  • the boiler device generally selects a pressure sensor to collect the boiler steam pressure, and selects a temperature sensor. Collect water temperature and so on.
  • Step 820 When it is determined that the device monitoring data is abnormal according to the device monitoring data reported by the signal collecting terminal, generating fault alarm information.
  • the server determines whether the monitoring data of the device is abnormal according to the preset abnormality determining logic, and if the abnormality generates a corresponding fault alarm information, different devices preset.
  • the abnormality judgment logic is different.
  • the liquid level monitoring of the boiler equipment is taken as an example for detailed description below.
  • the boiler liquid level needs to be kept in the normal range. If the boiler liquid level is too low, the boiler may dry out. If the liquid level is too high, the boiler steam pressure will be too high.
  • the signal collection terminal uses the liquid level sensor.
  • the server To monitor the boiler liquid level data, when the liquid level is higher than the upper limit of the preset liquid level range, the server generates a high liquid level alarm signal. When the liquid level is lower than the lower limit of the preset liquid level range, the server generates a low liquid level alarm signal.
  • Step 830 Generate a maintenance work order according to the fault alarm information and the location information of the device, and send the repair work order to the maintenance terminal.
  • the operation and maintenance personnel of the equipment receive the maintenance work order through the maintenance terminal to understand the fault alarm information and the position information of the equipment.
  • Step 840 when receiving the order information fed back by the plurality of service terminals within a preset time range after the maintenance work order is issued, determining, according to the position information of the service terminal included in the order information, the service terminal closest to the equipment distance If the order is successful, a success message of the order is generated and sent to the nearest service terminal of the distance device.
  • the server confirms that the repair terminal with the closest distance to the equipment has successfully received the order, so that the operation and maintenance personnel can arrive at the equipment site as soon as possible to carry out the work.
  • the busy information includes the estimated order time, if the server is within the preset time range after the maintenance work order is issued. If the order information of the feedback from the service terminal is not received, the server confirms that the earliest service order with the earliest order time is successful, and generates a success message of the order and sends it to the repair terminal with the earliest order time.
  • Step 850 Generate navigation information according to the location information of the maintenance terminal closest to the distance device and the location information of the boiler, and deliver the navigation information to the maintenance terminal nearest to the distance device.
  • the server confirms the success of the maintenance terminal. After that, the navigation information can be automatically generated and delivered to the repair terminal that successfully receives the order according to the position information fed back by the maintenance terminal, thereby further saving the fault processing time.
  • the device maintenance management method based on the Internet of Things provided by the embodiment of the invention can timely release the maintenance task when the fault is found through the real-time monitoring, tracking and positioning of the device, and facilitate the maintenance personnel to accurately arrive at the equipment site for maintenance, reducing the cause
  • the flow of intermediate information is not smooth, resulting in invalid time wasted, there is
  • the effectiveness is reduced by the loss caused by the shutdown, which ensures the timeliness, effectiveness and controllability of the maintenance.
  • another method for maintaining and managing an Internet of Things based on the object provided by the embodiment of the present invention further includes:
  • the fault processing information reported by the maintenance terminal is received and stored, and the fault processing information includes a fault cause, a faulty component, a repair method, a repair start time, and a maintenance personnel.
  • the maintenance personnel fill in the repair terminal: "The cause of the failure: abnormal steam pressure of the boiler, the faulty component: pressure gauge, maintenance method: inspection and found damage to the pressure gauge, maintenance Method: Replace the pressure gauge, start and stop time: 15:00pm-17:00pm, maintenance personnel: Zhang San, Li Si", confirm the report after filling out.
  • the device maintenance management method based on the Internet of Things provided by the embodiment of the present invention by recording the fault processing process, is convenient for finding and summarizing the fault handling experience and improving the maintenance skill of the maintenance personnel.
  • the fault processing information further includes a name and a quantity of the replacement component, and the spare part inventory quantity of the pre-stored replacement component is updated according to the name and quantity of the replacement component, when the spare parts inventory A message is generated when the number is lower than the preset value.
  • the maintenance personnel also fill in: "Replacement parts: pressure gauge, quantity: 1", after completing and reporting, the pre-stored pressure gauge spare parts inventory quantity is reduced by 1, if At this time, the quantity of spare parts in the pressure gauge is 2, and the preset spare parts inventory quantity is 3, and a prompt message is generated to prompt the inventory management personnel to purchase spare parts.
  • the situation of the replacement component can be tracked and recorded in real time, and the inventory is updated in real time, so that the inventory situation can be accurately grasped, and the automatic reminder is obtained when the inventory is small, and the purchase is timely.
  • FIG. 9 is a schematic structural diagram of an equipment maintenance management system based on the Internet of Things according to an embodiment of the present invention. As shown in FIG. 9, the system includes: The signal receiving module, the fault alarm module and the work order issuing module.
  • the signal receiving module 901 is configured to receive device monitoring data reported by the signal collecting terminal and location information of the device.
  • the signal collection terminal 110 transmits the collected device monitoring data and the location information of the boiler to the server through the communication transmission channel established between the Internet of Things access gateway 130 and the Internet of Things service gateway 140 described in the foregoing embodiment.
  • the device monitoring data is used to determine whether the operating state of the device is abnormal.
  • different signal collecting terminals 110 are selected to collect device monitoring data.
  • the boiler device generally selects a pressure sensor to collect the boiler steam pressure, and selects a temperature sensor. Collect water temperature and so on.
  • the fault alarm module 902 is configured to: when according to the device monitoring data reported by the signal collecting terminal, When the device monitoring data is abnormal, the fault alarm information is generated.
  • the fault alarm module 902 determines whether the device monitoring data is abnormal according to the preset abnormality determining logic, and generates a corresponding fault alarm if abnormal.
  • Information, different equipment preset abnormality judgment logic is different, the following is a detailed description of the boiler unit liquid level monitoring as an example.
  • the boiler liquid level needs to be kept in the normal range. If the boiler liquid level is too low, the boiler may dry out. If the liquid level is too high, the boiler steam pressure will be too high.
  • the signal collection terminal uses the liquid level sensor.
  • the server To monitor the boiler liquid level data, when the liquid level is higher than the upper limit of the preset liquid level range, the server generates a high liquid level alarm signal. When the liquid level is lower than the lower limit of the preset liquid level range, the server generates a low liquid level alarm signal.
  • the work order issuing module 903 is configured to generate a maintenance work order according to the fault alarm information and the position information of the device, and send the repair work order to the maintenance terminal, so that the maintenance personnel can handle the fault according to the maintenance work order.
  • the equipment may arrive at the equipment site for maintenance according to the location information of the equipment.
  • the device maintenance management system based on the Internet of Things provided by the embodiment of the invention can timely release the maintenance task when the fault is found through the real-time monitoring, tracking and positioning of the device, and facilitate the maintenance personnel to accurately arrive at the equipment site for maintenance, reducing the cause
  • the intermediate information flow is not smooth, resulting in inefficient time waste, effectively reducing the losses caused by the downtime to the enterprise, ensuring the timeliness, effectiveness and controllability of maintenance.
  • FIG. 10 is a schematic structural diagram of an equipment maintenance management system based on an Internet of Things according to an embodiment of the present invention. As shown in Figure 10, the system includes:
  • the signal receiving module 1001 is configured to receive device monitoring data reported by the signal collecting terminal and location information of the device.
  • the signal collection terminal 110 transmits the collected device monitoring data and the position information of the boiler to the server through the communication transmission channel established between the Internet of Things access gateway 130 and the Internet of Things service gateway 140 described in the foregoing embodiment. Received in module 901.
  • the device monitoring data is used to determine whether the operating state of the device is abnormal.
  • different signal collecting terminals 110 are selected to collect device monitoring data.
  • the boiler device generally selects a pressure sensor to collect the boiler steam pressure, and selects a temperature sensor. Collect water temperature and so on.
  • the fault alarm and control module 1002 is configured to generate fault alarm information and a control command when determining that the device monitoring data is abnormal according to the device monitoring data reported by the signal collecting terminal.
  • the server determines whether the monitoring data of the device is abnormal according to the preset abnormality determining logic, and if the abnormality generates the corresponding fault alarm information, may also be according to a preset
  • the exception handling logic generates control instructions.
  • the abnormality judgment logic and the exception processing logic preset by different devices are different.
  • the liquid level monitoring of the boiler equipment is taken as an example for detailed description below.
  • the boiler liquid level needs to be kept within the normal range. If the boiler liquid level is too low, the boiler may appear. Dry burning phenomenon, the liquid level is too high will cause the boiler steam pressure to be too high.
  • the signal collection terminal uses the liquid level sensor to monitor the boiler liquid level data, and the execution terminal selects the water pump.
  • the server When the liquid level is higher than the upper limit of the preset liquid level range, the server generates a high liquid level alarm signal and a water pump stop signal.
  • the server When the liquid level is lower than the lower limit of the preset liquid level range, the server generates a low liquid level alarm signal and a water pump start signal.
  • the fault alarm and control module 1002 specifically includes:
  • the control unit 10021 is configured to: when determining, according to the device monitoring data reported by the signal collecting terminal, that the device monitoring data is abnormal, generate a control instruction and start timing;
  • the fault alarm unit 10022 is configured to determine whether the current equipment monitoring data is abnormal when the timing duration reaches a preset duration, and generate fault alarm information if the abnormality is determined.
  • the server can generate the control command and automatically adjust the state of the device, it can determine whether the device returns to normal according to the current device monitoring data collected by the signal collecting terminal after waiting for the preset time, thereby avoiding frequent alarms, thereby reducing operation and maintenance personnel. Labor intensity.
  • the instruction sending module 1003 is configured to send a control instruction to the execution terminal, where the executing terminal performs a related action.
  • the server generation control instruction is sent to the corresponding execution terminal, and the execution terminal can adjust the abnormal condition of the device by executing the control instruction, thereby realizing automatic processing of the fault, for example, the water pump receives the water pump start signal. After the watering operation, the water pump stops the watering operation after receiving the pump stop signal.
  • the work order issuing module 1004 is configured to generate a maintenance work order according to the fault alarm information and the position information of the device, and send the repair work order to the maintenance terminal, so that the maintenance personnel can handle the fault according to the maintenance work order.
  • the operation and maintenance personnel of the equipment receive the fault alarm information through the maintenance terminal, they can arrive at the equipment site for maintenance according to the location information of the equipment.
  • the device maintenance management system based on the Internet of Things provided by the embodiment of the invention can timely release the maintenance task when the fault is found through the real-time monitoring, tracking and positioning of the device, and facilitate the maintenance personnel to accurately arrive at the equipment site for maintenance, reducing the cause
  • the intermediate information flow is not smooth, resulting in inefficient time waste, effectively reducing the losses caused by the downtime to the enterprise, ensuring the timeliness, effectiveness and controllability of maintenance.
  • FIG. 11 is a schematic structural diagram of another device maintenance management system based on the Internet of Things according to an embodiment of the present invention. As shown in Figure 11, the system includes:
  • the signal receiving module 1101 is configured to receive device monitoring data reported by the signal collecting terminal and location information of the device.
  • the signal collection terminal 110 transmits the collected device monitoring data and the location information of the boiler to the server through the communication transmission channel established between the Internet of Things access gateway 130 and the Internet of Things service gateway 140 described in the foregoing embodiment.
  • the device monitoring data is used to determine whether the running state of the device is If an abnormality occurs, different signal acquisition terminals 110 are selected according to different devices to collect device monitoring data.
  • the boiler device generally selects a pressure sensor to collect the boiler steam pressure, and selects a temperature sensor to collect the water temperature.
  • the fault alarm module 1102 is configured to generate fault alarm information when determining that the device monitoring data is abnormal according to the device monitoring data reported by the signal collecting terminal.
  • the server determines whether the monitoring data of the device is abnormal according to the preset abnormality determining logic, and if the abnormality generates a corresponding fault alarm information, different devices preset.
  • the abnormality judgment logic is different.
  • the liquid level monitoring of the boiler equipment is taken as an example for detailed description below.
  • the boiler liquid level needs to be kept in the normal range. If the boiler liquid level is too low, the boiler may dry out. If the liquid level is too high, the boiler steam pressure will be too high.
  • the signal collection terminal uses the liquid level sensor.
  • the server To monitor the boiler liquid level data, when the liquid level is higher than the upper limit of the preset liquid level range, the server generates a high liquid level alarm signal. When the liquid level is lower than the lower limit of the preset liquid level range, the server generates a low liquid level alarm signal.
  • the work order issuing module 1103 is configured to generate a maintenance work order according to the fault alarm information and the position information of the device, and send the repair work order to the maintenance terminal, so that the maintenance personnel can handle the fault according to the maintenance work order.
  • the operation and maintenance personnel of the equipment receive the maintenance work order through the maintenance terminal, they can arrive at the equipment site for maintenance according to the position information of the equipment.
  • the planned maintenance module 1104 is configured to generate planned maintenance information when it is determined that the equipment is repaired according to the pre-stored maintenance plan.
  • Planned maintenance is for equipment that requires regular maintenance, such as bearing lubrication, carbon brush replacement, etc. Planned maintenance can also identify potential hazards in the equipment in advance, avoid unplanned downtime, reduce downtime losses, and the server creates regular maintenance plans for the equipment. Planned maintenance information is generated periodically, such as inspection plans, scheduled maintenance plans, and annual overhaul plans.
  • the work order issuing module 1103 is further configured to generate a maintenance work order according to the planned maintenance information and the position information of the equipment, and send the maintenance work order to the maintenance terminal, so that the maintenance personnel repair the equipment according to the maintenance work order.
  • the operation and maintenance personnel of the equipment receive the maintenance work order through the maintenance terminal, they can arrive at the equipment site for maintenance according to the position information of the equipment.
  • the device maintenance management system based on the Internet of Things provided by the embodiment of the present invention can timely release the maintenance work order when the fault is found through the real-time monitoring, tracking and positioning of the device, and also periodically release the maintenance work order by establishing a maintenance plan.
  • the maintenance work order contains the location information of the equipment, which is convenient for the maintenance personnel to arrive at the equipment site for maintenance, reduce the waste of time caused by the poor flow of intermediate information, and effectively reduce the losses caused by the shutdown to the enterprise.
  • the timeliness of maintenance, the effectiveness, and the controllability of maintenance quality are examples of the maintenance work order.
  • FIG. 12 is a schematic structural diagram of another device maintenance management system based on the Internet of Things according to an embodiment of the present invention. As shown in Figure 12, the system includes:
  • the signal receiving module 1201 is configured to receive device monitoring data reported by the signal collecting terminal and location information of the device.
  • the signal collection terminal 110 transmits the collected device monitoring data and the location information of the boiler to the server through the communication transmission channel established between the Internet of Things access gateway 130 and the Internet of Things service gateway 140 described in the foregoing embodiment.
  • the device monitoring data is used to determine whether the operating state of the device is abnormal.
  • different signal collecting terminals 110 are selected to collect device monitoring data.
  • the boiler device generally selects a pressure sensor to collect the boiler steam pressure, and selects a temperature sensor. Collect water temperature and so on.
  • the fault alarm module 1202 is configured to generate fault alarm information when determining that the device monitoring data is abnormal according to the device monitoring data reported by the signal collecting terminal.
  • the server determines whether the monitoring data of the device is abnormal according to the preset abnormality determining logic, and if the abnormality generates a corresponding fault alarm information, different devices preset.
  • the abnormality judgment logic is different.
  • the liquid level monitoring of the boiler equipment is taken as an example for detailed description below.
  • the boiler liquid level needs to be kept in the normal range. If the boiler liquid level is too low, the boiler may dry out. If the liquid level is too high, the boiler steam pressure will be too high.
  • the signal collection terminal uses the liquid level sensor.
  • the server To monitor the boiler liquid level data, when the liquid level is higher than the upper limit of the preset liquid level range, the server generates a high liquid level alarm signal. When the liquid level is lower than the lower limit of the preset liquid level range, the server generates a low liquid level alarm signal.
  • the work order issuing module 1203 is configured to generate a maintenance work order according to the fault alarm information and the position information of the device, and send the repair work order to the maintenance terminal.
  • the operation and maintenance personnel of the equipment receive the maintenance work order through the maintenance terminal to understand the fault alarm information and the position information of the equipment.
  • the first order confirmation module 1204 is configured to: when receiving the order information fed back by the plurality of service terminals, determine that the repair terminal of the earliest feedback order information is successfully received, generate a success message and send the information to the earliest feedback order information. Maintenance terminal.
  • the maintenance personnel receive the maintenance work order, if they are processing other maintenance work, they cannot process the maintenance work order. You can choose not to take the order, and the other operation and maintenance personnel will take the order, and the server will send the successful information. For the earliest repair terminal, it is convenient for the operation and maintenance personnel who have received the order to go to the site to deal with the fault or execute the maintenance plan.
  • the device maintenance management method based on the Internet of Things provided by the embodiment of the invention can timely release the maintenance task when the fault is found through the real-time monitoring, tracking and positioning of the device, and facilitate the maintenance personnel to accurately arrive at the equipment site for maintenance, reducing the cause
  • the intermediate information flow is not smooth, resulting in inefficient time waste, effectively reducing the losses caused by the downtime to the enterprise, ensuring the timeliness, effectiveness and controllability of maintenance.
  • FIG. 13 is a schematic structural diagram of an equipment maintenance management system based on the Internet of Things according to an embodiment of the present invention; intention. As shown in Figure 13, the system includes:
  • the signal receiving module 1301 is configured to receive device monitoring data reported by the signal collecting terminal and location information of the device.
  • the signal collection terminal 110 transmits the collected device monitoring data and the location information of the boiler to the server through the communication transmission channel established between the Internet of Things access gateway 130 and the Internet of Things service gateway 140 described in the foregoing embodiment.
  • the device monitoring data is used to determine whether the operating state of the device is abnormal.
  • different signal collecting terminals 110 are selected to collect device monitoring data.
  • the boiler device generally selects a pressure sensor to collect the boiler steam pressure, and selects a temperature sensor. Collect water temperature and so on.
  • the fault alarm module 1302 is configured to generate fault alarm information when determining that the device monitoring data is abnormal according to the device monitoring data reported by the signal collecting terminal.
  • the server determines whether the monitoring data of the device is abnormal according to the preset abnormality determining logic, and if the abnormality generates a corresponding fault alarm information, different devices preset.
  • the abnormality judgment logic is different.
  • the liquid level monitoring of the boiler equipment is taken as an example for detailed description below.
  • the boiler liquid level needs to be kept in the normal range. If the boiler liquid level is too low, the boiler may dry out. If the liquid level is too high, the boiler steam pressure will be too high.
  • the signal collection terminal uses the liquid level sensor.
  • the server To monitor the boiler liquid level data, when the liquid level is higher than the upper limit of the preset liquid level range, the server generates a high liquid level alarm signal. When the liquid level is lower than the lower limit of the preset liquid level range, the server generates a low liquid level alarm signal.
  • the work order issuance module 1303 is configured to generate a maintenance work order according to the fault alarm information and the location information of the device, and send the repair work order to the maintenance terminal.
  • the operation and maintenance personnel of the equipment receive the maintenance work order through the maintenance terminal to understand the fault alarm information and the position information of the equipment.
  • the second order confirmation module 1304 is configured to determine, according to the position information of the service terminal included in the order information, when receiving the order information fed back by the plurality of service terminals within a preset time range after the maintenance work order is issued.
  • the device successfully orders from the nearest service terminal, generates a message that the order is successful, and sends the message to the nearest service terminal of the distance device.
  • the server confirms that the repair terminal with the closest distance to the equipment has successfully received the order, so that the operation and maintenance personnel can arrive at the equipment site as soon as possible to carry out the work.
  • the device maintenance management method based on the Internet of Things provided by the embodiment of the invention can timely release the maintenance task when the fault is found through the real-time monitoring, tracking and positioning of the device, and facilitate the maintenance personnel to accurately arrive at the equipment site for maintenance, reducing the cause
  • the intermediate information flow is not smooth, resulting in inefficient time waste, effectively reducing the losses caused by the downtime to the enterprise, ensuring the timeliness, effectiveness and controllability of maintenance.
  • the method further includes:
  • the navigation module 1305 is configured to generate navigation information according to the location information of the maintenance terminal closest to the distance device and the location information of the boiler, and deliver the navigation information to the maintenance terminal nearest to the distance device.
  • the server confirms the success of the maintenance terminal. After that, the navigation information can be automatically generated and delivered to the repair terminal that successfully receives the order according to the position information fed back by the maintenance terminal, thereby further saving the fault processing time.
  • another device maintenance management system based on the Internet of Things provided by the embodiment of the present invention further includes: a storage module, configured to receive and store fault processing information reported by the maintenance terminal, where the fault is The processing information includes the cause of the failure, the component that failed, the repair method, the start and end time of the repair, and the maintenance personnel.
  • the maintenance personnel fill in the repair terminal: "The cause of the failure: abnormal steam pressure of the boiler, the faulty component: pressure gauge, maintenance method: inspection and found damage to the pressure gauge, maintenance Method: Replace the pressure gauge, start and stop time: 15:00pm-17:00pm, maintenance personnel: Zhang San, Li Si", confirm the report after filling out.
  • the device maintenance management system based on the Internet of Things provided by the embodiment of the present invention records the fault processing process, so that it is convenient to find and summarize the fault handling experience and improve the maintenance skill of the maintenance personnel.
  • the system further includes an update module and a prompting module
  • the fault processing information further includes a name and a quantity of the replacement component
  • the update module is configured to use the name and quantity of the replacement component. Updating the spare stock quantity of the pre-stored replacement parts, the prompting module is configured to generate prompt information when the spare parts inventory quantity is lower than a preset value.
  • the maintenance personnel also fill in: "Replacement parts: pressure gauge, quantity: 1", after completing and reporting, the update module subtracts 1 spare parts inventory of the pre-stored pressure gauge. If the quantity of spare parts in the pressure gauge is 2 at this time, and the preset spare parts inventory quantity is 3, the prompting module generates a prompt message, prompting the inventory management personnel to purchase spare parts.
  • the situation of the replacement component can be tracked and recorded in real time, and the inventory is updated in real time, so that the inventory situation can be accurately grasped, and the automatic reminder is obtained when the inventory is small, and the purchase is timely.
  • the disclosed apparatus and method may be implemented in other manners.
  • the device embodiments described above are merely illustrative.
  • the division of cells is only a logical function division.
  • multiple units or components may be combined or integrated. Go to another system, or some features can be ignored or not executed.
  • the units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the objectives of the embodiments of the present invention.
  • each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
  • An integrated unit if implemented in the form of a software functional unit and sold or used as a standalone product, can be stored in a computer readable storage medium.
  • the technical solution of the present invention contributes in essence or to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium.
  • a number of instructions are included to cause a computer device (which may be a personal computer, server, or network device, etc.) to perform all or part of the steps of the various embodiments of the present invention.
  • the foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like. .

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Abstract

本发明涉及一种基于物联网的设备维护管理方法及系统，其中，方法包括以下步骤：接收信号采集终端上报的设备监测数据及设备的位置信息；当根据所述信号采集终端上报的设备监测数据，确定所述设备监测数据异常时，生成故障报警信息；根据所述故障报警信息和设备的位置信息生成维修工单并下发至维修终端，以使维修人员根据维修工单处理故障。本发明通过对设备的实时监测跟踪及定位，能够在发现故障时及时下达维修任务，并方便维修人员准确到达设备现场进行维修，减少因中间信息流转不畅，造成的无效的时间浪费，有效的减少因停机给企业带来的损失，保证了维修的及时性、有效性、维修质量的可控性。

Description

一种基于物联网的设备维护管理方法及系统 技术领域
本发明涉及设备维护领域，尤其涉及一种基于物联网的设备维护管理方法及系统。
背景技术
设备在运行过程中往往会出现零部件损坏需要维修、更换或者保养等情况，影响设备的正常运行。现有的设备维护方法是设备使用方在发现故障或者在设备需要保养维护时通知维修服务方，再由维修服务方上门提供维修服务，这种方式不能及时将设备故障信息通知到维修服务方，且由于维修服务方需要维护的设备较多且分散，不能及时定位到需要维修的设备，会造成维修不及时，给设备使用方带来损失。
发明内容
为解决上述技术问题，本发明提供了一种基于物联网的设备维护管理方法及系统。
第一方面，本发明提供一种基于物联网的设备维护管理方法，包括以下步骤：
接收信号采集终端上报的设备监测数据及设备的位置信息；
当根据所述信号采集终端上报的设备监测数据，确定所述设备监测数据异常时，生成故障报警信息；
根据所述故障报警信息和设备的位置信息生成维修工单并下发至维修终端，以使维修人员根据维修工单处理故障。
本发明提供的一种基于物联网的设备维护管理方法，通过对设备的实时监测跟踪及定位，能够在发现故障时及时下达维修任务，并方便维修人员准确到达设备现场进行维修，减少因中间信息流转不畅，造成的无效的时间浪费，有效的减少因停机给企业带来的损失，保证了维修的及时性、有效性、维修质量的可控性。
进一步，该方法还包括接收并存储维修终端上报的故障处理信息，所述故障处理信息包括故障原因、发生故障的部件、维修方法、维修起止时间和维修人员。
上述实施例中，记录故障处理过程，便于之后查找和总结故障处理经验，提高维修人员的维修技能。
进一步，所述故障处理信息还包括更换部件的名称及数量，并根据所述更换部件的名称及数量更新预先存储的更换部件的备件库存数量，当所述备件库存数量低于预设值时，生成提示信息。
上述实施例中，能够及时跟踪记录更换部件的情况，实时更新库存，便于准确掌握库存情况，在库存较少时自动提醒，及时采购。
第二方面，本发明提供一种基于物联网的设备维护管理系统，包括：
信号接收模块，用于接收信号采集终端上报的设备监测数据及设备的位置信息；
故障报警模块，用于当根据所述信号采集终端上报的设备监测数据，确定所述设备监测数据异常时，生成故障报警信息；
工单下发模块，用于根据所述故障报警信息和设备的位置信息生成维修工单并下发至维修终端，以使维修人员根据维修工单处理故障。
本发明提供的一种基于物联网的设备维护管理系统，通过对设备的实时监测跟踪及定位，能够在发现故障时及时下达维修任务，并方便维修人员准确到达设备现场进行维修，减少因中间信息流转不畅，造成的无效的时间浪费，有效的减少因停机给企业带来的损失，保证了维修的及时性、有效性、维修质量的可控性。
进一步，该系统还包括存储模块，用于接收并存储维修终端上报的故障处理信息，所述故障处理信息包括故障原因、发生故障的部件、维修方法、维修起止时间和维修人员。
上述实施例中，记录故障处理过程，便于之后查找和总结故障处理经验，提高维修人员的维修技能。
进一步，该系统还包括更新模块和提示模块，所述故障处理信息还包括更换部件的名称及数量，所述更新模块，用于根据所述更换部件的名称及数量更新预先存储的更换部件的备件库存数量，所述提示模块，用于当所述备件库存数量低于预设值时，生成提示信息。
上述实施例中，能够及时跟踪记录更换部件的情况，实时更新库存，便于准确掌握库存情况，在库存较少时自动提醒，及时采购。
附图说明
图1为本发明实施例提供的一种基于物联网的设备维护管理方法的流程示意图；
图2为本发明实施例提供的另一种基于物联网的设备维护管理方法的流程示意图；
图3为本发明实施例提供的另一种基于物联网的设备维护管理方法的流程示意图；
图4为本发明实施例提供的另一种基于物联网的设备维护管理方法的流程示意图；
图5为本发明实施例提供的另一种基于物联网的设备维护管理方法的流程示意图；
图6为本发明实施例提供的另一种基于物联网的设备维护管理方法的流程示意图；
图7为本发明实施例提供的另一种基于物联网的设备维护管理方法的流程示意图；
图8为本发明实施例提供的另一种基于物联网的设备维护管理方法的流程示意图；
图9为本发明实施例提供的一种基于物联网的设备维护管理系统的结构示意图；
图10为本发明实施例提供的另一种基于物联网的设备维护管理系统的结构示意图；
图11为本发明实施例提供的另一种基于物联网的设备维护管理系统的结构示意图；
图12为本发明实施例提供的另一种基于物联网的设备维护管理系统的结构示意图；
图13为本发明实施例提供的另一种基于物联网的设备维护管理系统的结构示意图。
具体实施方式
以下描述中，为了说明而不是为了限定，提出了诸如特定系统结构、接口、技术之类的具体细节，以便透切理解本发明。然而，本领域的技术人员应当清楚，在没有这些具体细节的其它实施例中也可以实现本发明。在其它情况中，省略对众所周知的系统、电路以及方法的详细说明，以免不必要的细节妨碍本发明的描述。
图1为本发明实施例提供的一种基于物联网的设备维护管理系统的系统架构图。具体如图1所示，该系统架构至少包括：信号采集终端110，服务器120，物联网接入网关130，物联网服务网关140和维修终端150。
如图2所示，图2为本发明提供的该设备维护管理系统中各部件之间进行交互的流程示意图。以下进行详细说明。
信号采集终端110和维修终端150分别向物联网接入网关130发送业务接入请求，其中业务接入请求中可以包括终端ID，服务签约认证信息等。物联网接入网关130将该业务接入请求发送至物联网服务网关140中，物联网服务网关140对业务接入请求进行认证。当认证成功时，向物联网接入网关130发送认证成功的消息，并和物联网接入网关130建立网络通信传输通道。物联网接入网关130将认证成功的消息发送至信号采集终端110和维修终端150。
信号采集终端110和维修终端150在接收到认证成功的消息后，信号采集终端110向物联网接入网关130发送设备监测数据和位置信息。物联网接入网关130通过与物联网服务网关140建立的网络通信传输通道，将设备监测数据和位置信息发送至物联网服务网关140，而物联网服务网关140则将该设备监测数据和位置信息转发至服务器120。
服务器120根据预设逻辑判断设备监测数据异常时，生成故障报警信息，并 根据所述故障报警信息和位置信息生成维修工单并下发至维修终端150，以使维修人员根据维修工单处理故障。
可选地，在该实施例中，如图1所示，该系统还包括执行终端160，执行终端160通过上述实施例中介绍的物联网接入网关130和物联网服务网关140之间建立的通信传输通道与服务器120进行通信。
如图2所示，当服务器120根据预设逻辑判断设备监测数据异常时，还生成控制指令，并将控制指令通过上述网络通信传输通道发送至执行终端160，执行终端160执行控制指令。
具体的，以锅炉液位的调节为例，锅炉液位需要保持在正常范围，如果锅炉液位过低可能使锅炉出现干烧现象，液位过高又会使锅炉蒸汽压力过高发生危险，这里，信号采集终端110选用液位传感器来监测锅炉液位数据，执行终端160选用水泵。当液位高于预设液位范围上限时，服务器120生成高液位报警信号和水泵停止信号，当液位低于预设液位范围下限时，服务器生成低液位报警信号和水泵启动信号。
当然，读者应理解，在上述基于物联网的设备维护管理系统中，物联网接入网关130、以及物联网服务网关140的功能主要就是建立信号采集终端110、维修终端150、执行终端160和服务器120之间的数据传输通道，因此，在下文具体介绍基于物联网的设备维护管理方法流程中将不做详细介绍。而在本系统中，主要执行功能的是服务器。
因此，在下面的一个实施例中，本申请文件将详细介绍服务器120所执行的方法流程。图3为本发明实施例提供的一种基于物联网的设备维护管理方法的流程示意图。如图3所示，该方法包括：
步骤310，接收信号采集终端上报的设备监测数据及设备的位置信息。
具体的，信号采集终端110通过上述实施例中介绍的物联网接入网关130和物联网服务网关140之间建立的通信传输通道，将采集的设备监测数据和设备的位置信息传输至服务器中。其中，设备监测数据用于判断设备的运行状态是否出现异常，根据不同的设备选择不同的信号采集终端110来采集设备监测数据，如锅炉设备一般选择压力传感器来采集锅炉蒸汽压力，选用温度传感器来采集水温等。
步骤320，当根据所述信号采集终端上报的设备监测数据，确定所述设备监测数据异常时，生成故障报警信息。
应理解，每当服务器接收到信号采集终端发送的设备监测数据后，就根据预设的异常判断逻辑判断该设备监测数据是否异常，若异常则生成相应的故障报警信息，不同的设备预设的异常判断逻辑不同，下面以锅炉设备的液位监测为例进行详细说明。
具体的，锅炉液位需要保持在正常范围，如果锅炉液位过低可能使锅炉出现 干烧现象，液位过高又会使锅炉蒸汽压力过高发生危险，这里，信号采集终端选用液位传感器来监测锅炉液位数据，当液位高于预设液位范围上限时，服务器生成高液位报警信号，当液位低于预设液位范围下限时，服务器生成低液位报警信号。
步骤330，根据所述故障报警信息和设备的位置信息生成维修工单并下发至维修终端，以使维修人员根据维修工单处理故障。
具体的，设备的运维人员通过维修终端接收到故障报警信息时，可以根据设备的位置信息及时到达设备现场进行维修。
本发明实施例提供的一种基于物联网的设备维护管理方法，通过对设备的实时监测跟踪及定位，能够在发现故障时及时下达维修任务，并方便维修人员准确到达设备现场进行维修，减少因中间信息流转不畅，造成的无效的时间浪费，有效的减少因停机给企业带来的损失，保证了维修的及时性、有效性、维修质量的可控性。
图4为本发明实施例提供的一种基于物联网的设备维护管理方法的流程示意图。如图4所示，该方法包括：
步骤410，接收信号采集终端上报的设备监测数据及设备的位置信息。
具体的，信号采集终端110通过上述实施例中介绍的物联网接入网关130和物联网服务网关140之间建立的通信传输通道，将采集的设备监测数据和设备的位置信息传输至服务器中。其中，设备监测数据用于判断设备的运行状态是否出现异常，根据不同的设备选择不同的信号采集终端110来采集设备监测数据，如锅炉设备一般选择压力传感器来采集锅炉蒸汽压力，选用温度传感器来采集水温等。
步骤420，当根据所述信号采集终端上报的设备监测数据，确定所述设备监测数据异常时，生成故障报警信息和控制指令。
应理解，每当服务器接收到信号采集终端发送的设备监测数据后，就根据预设的异常判断逻辑判断该设备监测数据是否异常，若异常则生成相应的故障报警信息，还可以根据预设的异常处理逻辑生成控制指令。不同的设备预设的异常判断逻辑和异常处理逻辑不同，下面以锅炉设备的液位监测为例进行详细说明。
具体的，锅炉液位需要保持在正常范围，如果锅炉液位过低可能使锅炉出现干烧现象，液位过高又会使锅炉蒸汽压力过高发生危险，这里，信号采集终端选用液位传感器来监测锅炉液位数据，执行终端选用水泵。当液位高于预设液位范围上限时，服务器生成高液位报警信号和水泵停止信号，当液位低于预设液位范围下限时，服务器生成低液位报警信号和水泵启动信号。
由于服务器一旦判断监测数据异常则生成故障报警信息，增加了运维人员的劳动强度。如图4所示，为了降低故障报警信息生成的频率，在该实施例中，该步骤可细化为以下步骤：
步骤4201，当根据所述信号采集终端上报的设备监测数据，确定所述设备监测数据异常时，生成控制指令并开始计时；
步骤4202，当计时时长达到预设时长时，判断当前的设备监测数据是否异常，若判断异常则生成故障报警信息。
具体的，由于服务器能够生成控制指令，自动调节设备状态，可以在等待预设时间后根据信号采集终端采集的当前设备监测数据再次判断设备是否恢复正常，可以避免频繁报警，从而降低运维人员的劳动强度。
步骤430，将控制指令发送至执行终端，所述执行终端执行相关动作。
具体的，服务器生成控制指令发送给相应的执行终端即可，执行终端通过执行控制指令即可对设备的异常状况做出调整，从而实现了故障的自动处理，例如，水泵在接收到水泵启动信号后进行加水作业，水泵在接收到水泵停止信号后停止加水作业。
步骤440，根据所述故障报警信息和设备的位置信息生成维修工单并下发至维修终端，以使维修人员根据维修工单处理故障。
具体的，设备的运维人员通过维修终端接收到故障报警信息时，可以根据设备的位置信息及时到达设备现场进行维修。
本发明实施例提供的一种基于物联网的设备维护管理方法，通过对设备的实时监测跟踪及定位，能够在发现故障时及时下达维修任务，并方便维修人员准确到达设备现场进行维修，减少因中间信息流转不畅，造成的无效的时间浪费，有效的减少因停机给企业带来的损失，保证了维修的及时性、有效性、维修质量的可控性。
图5为本发明实施例提供的另一种基于物联网的设备维护管理方法的流程示意图。如图5所示，该方法包括：
步骤510，接收信号采集终端上报的设备监测数据及设备的位置信息。
具体的，信号采集终端110通过上述实施例中介绍的物联网接入网关130和物联网服务网关140之间建立的通信传输通道，将采集的设备监测数据和设备的位置信息传输至服务器中。其中，设备监测数据用于判断设备的运行状态是否出现异常，根据不同的设备选择不同的信号采集终端110来采集设备监测数据，如锅炉设备一般选择压力传感器来采集锅炉蒸汽压力，选用温度传感器来采集水温等。
步骤520，当根据所述信号采集终端上报的设备监测数据，确定所述设备监测数据异常时，生成故障报警信息。
应理解，每当服务器接收到信号采集终端发送的设备监测数据后，就根据预设的异常判断逻辑判断该设备监测数据是否异常，若异常则生成相应的故障报警信息，不同的设备预设的异常判断逻辑不同，下面以锅炉设备的液位监测为例进行详细说明。
具体的，锅炉液位需要保持在正常范围，如果锅炉液位过低可能使锅炉出现干烧现象，液位过高又会使锅炉蒸汽压力过高发生危险，这里，信号采集终端选用液位传感器来监测锅炉液位数据，当液位高于预设液位范围上限时，服务器生成高液位报警信号，当液位低于预设液位范围下限时，服务器生成低液位报警信号。
步骤530，根据所述故障报警信息和设备的位置信息生成维修工单并下发至维修终端，以使维修人员根据维修工单处理故障。
具体的，设备的运维人员通过维修终端接收到维修工单时，可以根据设备的位置信息及时到达设备现场进行维修。
步骤540，当根据预先存储的维修计划，确定对设备进行维修时，生成计划维修信息。
具体的，计划维修是针对需要定期保养的设备，如轴承润滑、碳刷更换等，计划维修还可以提前发现设备存在的隐患，避免非计划停机，降低停机损失，服务器为设备创建定期维修计划，如巡检计划、定期维护计划以及年度大修计划，从而定期生成计划维修信息。
步骤550，根据所述计划维修信息和设备的位置信息生成维修工单并下发至维修终端，以使维修人员根据维修工单对设备进行维修。
具体的，设备的运维人员通过维修终端接收到维修工单时，可以根据设备的位置信息及时到达设备现场进行维修。
本发明实施例提供的一种基于物联网的设备维护管理方法，通过对设备的实时监测跟踪及定位，能够在发现故障时及时下达维修工单，还通过建立维修计划，定期下达维修工单，同时，维修工单中包含设备的位置信息，方便维修人员准确到达设备现场进行维修，减少因中间信息流转不畅，造成的无效的时间浪费，有效的减少因停机给企业带来的损失，保证了维修的及时性、有效性、维修质量的可控性。
图6为本发明实施例提供的另一种基于物联网的设备维护管理方法的流程示意图。如图6所示，该方法包括：
步骤610，接收信号采集终端上报的设备监测数据及设备的位置信息。
具体的，信号采集终端110通过上述实施例中介绍的物联网接入网关130和物联网服务网关140之间建立的通信传输通道，将采集的设备监测数据和设备的位置信息传输至服务器中。其中，设备监测数据用于判断设备的运行状态是否出现异常，根据不同的设备选择不同的信号采集终端110来采集设备监测数据，如锅炉设备一般选择压力传感器来采集锅炉蒸汽压力，选用温度传感器来采集水温等。
步骤620，当根据所述信号采集终端上报的设备监测数据，确定所述设备监测数据异常时，生成故障报警信息。
应理解，每当服务器接收到信号采集终端发送的设备监测数据后，就根据预设的异常判断逻辑判断该设备监测数据是否异常，若异常则生成相应的故障报警信息，不同的设备预设的异常判断逻辑不同，下面以锅炉设备的液位监测为例进行详细说明。
具体的，锅炉液位需要保持在正常范围，如果锅炉液位过低可能使锅炉出现干烧现象，液位过高又会使锅炉蒸汽压力过高发生危险，这里，信号采集终端选用液位传感器来监测锅炉液位数据，当液位高于预设液位范围上限时，服务器生成高液位报警信号，当液位低于预设液位范围下限时，服务器生成低液位报警信号。
步骤630，根据所述故障报警信息和设备的位置信息生成维修工单并下发至维修终端。
具体的，设备的运维人员通过维修终端接收到维修工单，了解故障报警信息和设备的位置信息。
步骤640，在接收多个维修终端反馈的接单信息时，确定最早反馈接单信息的维修终端接单成功，生成接单成功的消息并发送至最早反馈接单信息的维修终端。
具体的，运维人员在收到维修工单时，如果正在处理其他维修工作，无法处理该维修工单，可以选择不接单，由其他运维人员接单，服务器将接单成功的信息发给最早接单的维修终端，便于接单的运维人员及早赶赴现场进行故障处理或执行维修计划。
本发明实施例提供的一种基于物联网的设备维护管理方法，通过对设备的实时监测跟踪及定位，能够在发现故障时及时下达维修任务，并方便维修人员准确到达设备现场进行维修，减少因中间信息流转不畅，造成的无效的时间浪费，有效的减少因停机给企业带来的损失，保证了维修的及时性、有效性、维修质量的可控性。
图7为本发明实施例提供的一种基于物联网的设备维护管理方法的流程示意图。如图7所示，该方法包括：
步骤710，接收信号采集终端上报的设备监测数据及设备的位置信息。
具体的，信号采集终端110通过上述实施例中介绍的物联网接入网关130和物联网服务网关140之间建立的通信传输通道，将采集的设备监测数据和设备的位置信息传输至服务器中。其中，设备监测数据用于判断设备的运行状态是否出现异常，根据不同的设备选择不同的信号采集终端110来采集设备监测数据，如锅炉设备一般选择压力传感器来采集锅炉蒸汽压力，选用温度传感器来采集水温等。
步骤720，当根据所述信号采集终端上报的设备监测数据，确定所述设备监 测数据异常时，生成故障报警信息。
应理解，每当服务器接收到信号采集终端发送的设备监测数据后，就根据预设的异常判断逻辑判断该设备监测数据是否异常，若异常则生成相应的故障报警信息，不同的设备预设的异常判断逻辑不同，下面以锅炉设备的液位监测为例进行详细说明。
具体的，锅炉液位需要保持在正常范围，如果锅炉液位过低可能使锅炉出现干烧现象，液位过高又会使锅炉蒸汽压力过高发生危险，这里，信号采集终端选用液位传感器来监测锅炉液位数据，当液位高于预设液位范围上限时，服务器生成高液位报警信号，当液位低于预设液位范围下限时，服务器生成低液位报警信号。
步骤730，根据所述故障报警信息和设备的位置信息生成维修工单并下发至维修终端。
具体的，设备的运维人员通过维修终端接收到维修工单，了解故障报警信息和设备的位置信息。
步骤740，在下发维修工单后预设时间范围内接收到多个维修终端反馈的接单信息时，根据所述接单信息内包含的维修终端的位置信息确定与设备距离最近的维修终端接单成功，生成接单成功的消息并发送至所述距离设备最近的维修终端。
具体的，为了进一步节约运维人员接单后处理故障或执行维修计划的时间，服务器确认与设备距离最近的维修终端接单成功，以便运维人员尽快到达设备现场开展工作。
本发明实施例提供的一种基于物联网的设备维护管理方法，通过对设备的实时监测跟踪及定位，能够在发现故障时及时下达维修任务，并方便维修人员准确到达设备现场进行维修，减少因中间信息流转不畅，造成的无效的时间浪费，有效的减少因停机给企业带来的损失，保证了维修的及时性、有效性、维修质量的可控性。
图8为本发明实施例提供的一种基于物联网的设备维护管理方法的流程示意图。如图8所示，该方法包括：
步骤810，接收信号采集终端上报的设备监测数据及设备的位置信息。
具体的，信号采集终端110通过上述实施例中介绍的物联网接入网关130和物联网服务网关140之间建立的通信传输通道，将采集的设备监测数据和设备的位置信息传输至服务器中。其中，设备监测数据用于判断设备的运行状态是否出现异常，根据不同的设备选择不同的信号采集终端110来采集设备监测数据，如锅炉设备一般选择压力传感器来采集锅炉蒸汽压力，选用温度传感器来采集水温等。
步骤820，当根据所述信号采集终端上报的设备监测数据，确定所述设备监测数据异常时，生成故障报警信息。
应理解，每当服务器接收到信号采集终端发送的设备监测数据后，就根据预设的异常判断逻辑判断该设备监测数据是否异常，若异常则生成相应的故障报警信息，不同的设备预设的异常判断逻辑不同，下面以锅炉设备的液位监测为例进行详细说明。
具体的，锅炉液位需要保持在正常范围，如果锅炉液位过低可能使锅炉出现干烧现象，液位过高又会使锅炉蒸汽压力过高发生危险，这里，信号采集终端选用液位传感器来监测锅炉液位数据，当液位高于预设液位范围上限时，服务器生成高液位报警信号，当液位低于预设液位范围下限时，服务器生成低液位报警信号。
步骤830，根据所述故障报警信息和设备的位置信息生成维修工单并下发至维修终端。
具体的，设备的运维人员通过维修终端接收到维修工单，了解故障报警信息和设备的位置信息。
步骤840，在下发维修工单后预设时间范围内接收到多个维修终端反馈的接单信息时，根据所述接单信息内包含的维修终端的位置信息确定与设备距离最近的维修终端接单成功，生成接单成功的消息并发送至所述距离设备最近的维修终端。
具体的，为了进一步节约运维人员接单后处理故障或执行维修计划的时间，服务器确认与设备距离最近的维修终端接单成功，以便运维人员尽快到达设备现场开展工作。
如果运维人员接到维修工单时正处于忙碌的状态，无法接单，也需要反馈忙碌信息，忙碌信息中包含预计的可接单时间，如果服务器在下发维修工单后预设时间范围内未接收到维修终端反馈的接单信息，则服务器确认最早的可接单时间最早的维修终端接单成功，生成接单成功的消息并发送至可接单时间最早的维修终端。
步骤850，根据所述距离设备最近的维修终端的位置信息及锅炉的位置信息生成导航信息，将导航信息下发至所述距离设备最近的维修终端。
具体的，如果厂区较大，设备分布较分散，运维人员需要根据维修工单中的设备位置信息自行导航，以便确认前往设备现场的路线，本实施例中，服务器在确认维修终端接单成功后，可根据维修终端反馈的位置信息，自动生成导航信息并下发至接单成功的维修终端，进一步节省故障处理时间。
本发明实施例提供的一种基于物联网的设备维护管理方法，通过对设备的实时监测跟踪及定位，能够在发现故障时及时下达维修任务，并方便维修人员准确到达设备现场进行维修，减少因中间信息流转不畅，造成的无效的时间浪费，有 效的减少因停机给企业带来的损失，保证了维修的及时性、有效性、维修质量的可控性。
在上述任意一个实施例的基础上，本发明实施例提供的另一种基于物联网的设备维护管理方法，还包括：
接收并存储维修终端上报的故障处理信息，所述故障处理信息包括故障原因、发生故障的部件、维修方法、维修起止时间和维修人员。
具体的，例如，在某次故障处理完毕后，维修人员在维修终端上填写：“故障原因：锅炉蒸汽压力高异常报警，发生故障的部件：压力表，维修方法：检查发现压力表损坏，维修方法：更换压力表，维修起止时间：15：00pm-17：00pm，维修人员：张三、李四”，填写完成后确认上报。
本发明实施例提供的一种基于物联网的设备维护管理方法，通过记录故障处理过程，便于之后查找和总结故障处理经验，提高维修人员的维修技能。
可选地，在该实施例中，所述故障处理信息还包括更换部件的名称及数量，并根据所述更换部件的名称及数量更新预先存储的更换部件的备件库存数量，当所述备件库存数量低于预设值时，生成提示信息。
具体的，在上一个实施例中，维修人员还要填写：“更换部件：压力表，数量：1个”，填写完成并上报后，将预先存储的压力表的备件库存数量减去1，如果此时压力表的库存备件数量为2，而预设的备件库存数量为3，则生成提示信息，提示库存管理人员进行备件采购。
上述实施例中，能够及时跟踪记录更换部件的情况，实时更新库存，便于准确掌握库存情况，在库存较少时自动提醒，及时采购。
相应的，本发明还提供一种基于物联网的设备维护管理系统，图9为本发明实施例提供的一种基于物联网的设备维护管理系统结构示意图，如图9所示，该系统包括：信号接收模块、故障报警模块和工单下发模块。
信号接收模块901，用于接收信号采集终端上报的设备监测数据及设备的位置信息。
具体的，信号采集终端110通过上述实施例中介绍的物联网接入网关130和物联网服务网关140之间建立的通信传输通道，将采集的设备监测数据和锅炉的位置信息传输至服务器中。其中，设备监测数据用于判断设备的运行状态是否出现异常，根据不同的设备选择不同的信号采集终端110来采集设备监测数据，如锅炉设备一般选择压力传感器来采集锅炉蒸汽压力，选用温度传感器来采集水温等。
故障报警模块902，用于当根据所述信号采集终端上报的设备监测数据，确 定所述设备监测数据异常时，生成故障报警信息。
应理解，每当服务器的信号接收模块901接收到信号采集终端发送的设备监测数据后，故障报警模块902根据预设的异常判断逻辑判断该设备监测数据是否异常，若异常则生成相应的故障报警信息，不同的设备预设的异常判断逻辑不同，下面以锅炉设备的液位监测为例进行详细说明。
具体的，锅炉液位需要保持在正常范围，如果锅炉液位过低可能使锅炉出现干烧现象，液位过高又会使锅炉蒸汽压力过高发生危险，这里，信号采集终端选用液位传感器来监测锅炉液位数据，当液位高于预设液位范围上限时，服务器生成高液位报警信号，当液位低于预设液位范围下限时，服务器生成低液位报警信号。
工单下发模块903，用于根据所述故障报警信息和设备的位置信息生成维修工单并下发至维修终端，以使维修人员根据维修工单处理故障。
具体的，设备的运维人员通过维修终端接收到工单下发模块903下发的故障报警信息时，可以根据设备的位置信息及时到达设备现场进行维修。
本发明实施例提供的一种基于物联网的设备维护管理系统，通过对设备的实时监测跟踪及定位，能够在发现故障时及时下达维修任务，并方便维修人员准确到达设备现场进行维修，减少因中间信息流转不畅，造成的无效的时间浪费，有效的减少因停机给企业带来的损失，保证了维修的及时性、有效性、维修质量的可控性。
图10为本发明实施例提供的一种基于物联网的设备维护管理系统的结构示意图。如图10所示，该系统包括：
信号接收模块1001，用于接收信号采集终端上报的设备监测数据及设备的位置信息。
具体的，信号采集终端110通过上述实施例中介绍的物联网接入网关130和物联网服务网关140之间建立的通信传输通道，将采集的设备监测数据和锅炉的位置信息传输至服务器的信号接收模块901中。其中，设备监测数据用于判断设备的运行状态是否出现异常，根据不同的设备选择不同的信号采集终端110来采集设备监测数据，如锅炉设备一般选择压力传感器来采集锅炉蒸汽压力，选用温度传感器来采集水温等。
故障报警及控制模块1002，用于当根据所述信号采集终端上报的设备监测数据，确定所述设备监测数据异常时，生成故障报警信息和控制指令。
应理解，每当服务器接收到信号采集终端发送的设备监测数据后，就根据预设的异常判断逻辑判断该设备监测数据是否异常，若异常则生成相应的故障报警信息，还可以根据预设的异常处理逻辑生成控制指令。不同的设备预设的异常判断逻辑和异常处理逻辑不同，下面以锅炉设备的液位监测为例进行详细说明。
具体的，锅炉液位需要保持在正常范围，如果锅炉液位过低可能使锅炉出现 干烧现象，液位过高又会使锅炉蒸汽压力过高发生危险，这里，信号采集终端选用液位传感器来监测锅炉液位数据，执行终端选用水泵。当液位高于预设液位范围上限时，服务器生成高液位报警信号和水泵停止信号，当液位低于预设液位范围下限时，服务器生成低液位报警信号和水泵启动信号。
由于服务器一旦判断监测数据异常则生成故障报警信息，增加了运维人员的劳动强度。如图10所示，为了降低故障报警信息生成的频率，在该实施例中，故障报警及控制模块1002具体包括：
控制单元10021，用于当根据所述信号采集终端上报的设备监测数据，确定所述设备监测数据异常时，生成控制指令并开始计时；
故障报警单元10022，用于当计时时长达到预设时长时，判断当前的设备监测数据是否异常，若判断异常则生成故障报警信息。
具体的，由于服务器能够生成控制指令，自动调节设备状态，可以在等待预设时间后根据信号采集终端采集的当前设备监测数据再次判断设备是否恢复正常，可以避免频繁报警，从而降低运维人员的劳动强度。
指令发送模块1003，用于将控制指令发送至执行终端，所述执行终端执行相关动作。
具体的，服务器生成控制指令发送给相应的执行终端即可，执行终端通过执行控制指令即可对设备的异常状况做出调整，从而实现了故障的自动处理，例如，水泵在接收到水泵启动信号后进行加水作业，水泵在接收到水泵停止信号后停止加水作业。
工单下发模块1004，用于根据所述故障报警信息和设备的位置信息生成维修工单并下发至维修终端，以使维修人员根据维修工单处理故障。
具体的，设备的运维人员通过维修终端接收到故障报警信息时，可以根据设备的位置信息及时到达设备现场进行维修。
本发明实施例提供的一种基于物联网的设备维护管理系统，通过对设备的实时监测跟踪及定位，能够在发现故障时及时下达维修任务，并方便维修人员准确到达设备现场进行维修，减少因中间信息流转不畅，造成的无效的时间浪费，有效的减少因停机给企业带来的损失，保证了维修的及时性、有效性、维修质量的可控性。
图11为本发明实施例提供的另一种基于物联网的设备维护管理系统的结构示意图。如图11所示，该系统包括：
信号接收模块1101，用于接收信号采集终端上报的设备监测数据及设备的位置信息。
具体的，信号采集终端110通过上述实施例中介绍的物联网接入网关130和物联网服务网关140之间建立的通信传输通道，将采集的设备监测数据和锅炉的位置信息传输至服务器中。其中，设备监测数据用于判断设备的运行状态是否 出现异常，根据不同的设备选择不同的信号采集终端110来采集设备监测数据，如锅炉设备一般选择压力传感器来采集锅炉蒸汽压力，选用温度传感器来采集水温等。
故障报警模块1102，用于当根据所述信号采集终端上报的设备监测数据，确定所述设备监测数据异常时，生成故障报警信息。
应理解，每当服务器接收到信号采集终端发送的设备监测数据后，就根据预设的异常判断逻辑判断该设备监测数据是否异常，若异常则生成相应的故障报警信息，不同的设备预设的异常判断逻辑不同，下面以锅炉设备的液位监测为例进行详细说明。
具体的，锅炉液位需要保持在正常范围，如果锅炉液位过低可能使锅炉出现干烧现象，液位过高又会使锅炉蒸汽压力过高发生危险，这里，信号采集终端选用液位传感器来监测锅炉液位数据，当液位高于预设液位范围上限时，服务器生成高液位报警信号，当液位低于预设液位范围下限时，服务器生成低液位报警信号。
工单下发模块1103，用于根据所述故障报警信息和设备的位置信息生成维修工单并下发至维修终端，以使维修人员根据维修工单处理故障。
具体的，设备的运维人员通过维修终端接收到维修工单时，可以根据设备的位置信息及时到达设备现场进行维修。
计划维修模块1104，用于当根据预先存储的维修计划，确定对设备进行维修时，生成计划维修信息。
具体的，计划维修是针对需要定期保养的设备，如轴承润滑、碳刷更换等，计划维修还可以提前发现设备存在的隐患，避免非计划停机，降低停机损失，服务器为设备创建定期维修计划，如巡检计划、定期维护计划以及年度大修计划，从而定期生成计划维修信息。
工单下发模块1103，还用于根据所述计划维修信息和设备的位置信息生成维修工单并下发至维修终端，以使维修人员根据维修工单对设备进行维修。
具体的，设备的运维人员通过维修终端接收到维修工单时，可以根据设备的位置信息及时到达设备现场进行维修。
本发明实施例提供的一种基于物联网的设备维护管理系统，通过对设备的实时监测跟踪及定位，能够在发现故障时及时下达维修工单，还通过建立维修计划，定期下达维修工单，同时，维修工单中包含设备的位置信息，方便维修人员准确到达设备现场进行维修，减少因中间信息流转不畅，造成的无效的时间浪费，有效的减少因停机给企业带来的损失，保证了维修的及时性、有效性、维修质量的可控性。
图12为本发明实施例提供的另一种基于物联网的设备维护管理系统的结构示意图。如图12所示，该系统包括：
信号接收模块1201，用于接收信号采集终端上报的设备监测数据及设备的位置信息。
具体的，信号采集终端110通过上述实施例中介绍的物联网接入网关130和物联网服务网关140之间建立的通信传输通道，将采集的设备监测数据和锅炉的位置信息传输至服务器中。其中，设备监测数据用于判断设备的运行状态是否出现异常，根据不同的设备选择不同的信号采集终端110来采集设备监测数据，如锅炉设备一般选择压力传感器来采集锅炉蒸汽压力，选用温度传感器来采集水温等。
故障报警模块1202，用于当根据所述信号采集终端上报的设备监测数据，确定所述设备监测数据异常时，生成故障报警信息。
应理解，每当服务器接收到信号采集终端发送的设备监测数据后，就根据预设的异常判断逻辑判断该设备监测数据是否异常，若异常则生成相应的故障报警信息，不同的设备预设的异常判断逻辑不同，下面以锅炉设备的液位监测为例进行详细说明。
具体的，锅炉液位需要保持在正常范围，如果锅炉液位过低可能使锅炉出现干烧现象，液位过高又会使锅炉蒸汽压力过高发生危险，这里，信号采集终端选用液位传感器来监测锅炉液位数据，当液位高于预设液位范围上限时，服务器生成高液位报警信号，当液位低于预设液位范围下限时，服务器生成低液位报警信号。
工单下发模块1203，用于根据所述故障报警信息和设备的位置信息生成维修工单并下发至维修终端。
具体的，设备的运维人员通过维修终端接收到维修工单，了解故障报警信息和设备的位置信息。
第一接单确认模块1204，用于在接收多个维修终端反馈的接单信息时，确定最早反馈接单信息的维修终端接单成功，生成接单成功的消息并发送至最早反馈接单信息的维修终端。
具体的，运维人员在收到维修工单时，如果正在处理其他维修工作，无法处理该维修工单，可以选择不接单，由其他运维人员接单，服务器将接单成功的信息发给最早接单的维修终端，便于接单的运维人员及早赶赴现场进行故障处理或执行维修计划。
本发明实施例提供的一种基于物联网的设备维护管理方法，通过对设备的实时监测跟踪及定位，能够在发现故障时及时下达维修任务，并方便维修人员准确到达设备现场进行维修，减少因中间信息流转不畅，造成的无效的时间浪费，有效的减少因停机给企业带来的损失，保证了维修的及时性、有效性、维修质量的可控性。
图13为本发明实施例提供的一种基于物联网的设备维护管理系统的结构示 意图。如图13所示，该系统包括：
信号接收模块1301，用于接收信号采集终端上报的设备监测数据及设备的位置信息。
具体的，信号采集终端110通过上述实施例中介绍的物联网接入网关130和物联网服务网关140之间建立的通信传输通道，将采集的设备监测数据和锅炉的位置信息传输至服务器中。其中，设备监测数据用于判断设备的运行状态是否出现异常，根据不同的设备选择不同的信号采集终端110来采集设备监测数据，如锅炉设备一般选择压力传感器来采集锅炉蒸汽压力，选用温度传感器来采集水温等。
故障报警模块1302，用于当根据所述信号采集终端上报的设备监测数据，确定所述设备监测数据异常时，生成故障报警信息。
应理解，每当服务器接收到信号采集终端发送的设备监测数据后，就根据预设的异常判断逻辑判断该设备监测数据是否异常，若异常则生成相应的故障报警信息，不同的设备预设的异常判断逻辑不同，下面以锅炉设备的液位监测为例进行详细说明。
具体的，锅炉液位需要保持在正常范围，如果锅炉液位过低可能使锅炉出现干烧现象，液位过高又会使锅炉蒸汽压力过高发生危险，这里，信号采集终端选用液位传感器来监测锅炉液位数据，当液位高于预设液位范围上限时，服务器生成高液位报警信号，当液位低于预设液位范围下限时，服务器生成低液位报警信号。
工单下发模块1303，用于根据所述故障报警信息和设备的位置信息生成维修工单并下发至维修终端。
具体的，设备的运维人员通过维修终端接收到维修工单，了解故障报警信息和设备的位置信息。
第二接单确认模块1304，用于在下发维修工单后预设时间范围内接收到多个维修终端反馈的接单信息时，根据所述接单信息内包含的维修终端的位置信息确定与设备距离最近的维修终端接单成功，生成接单成功的消息并发送至所述距离设备最近的维修终端。
具体的，为了进一步节约运维人员接单后处理故障或执行维修计划的时间，服务器确认与设备距离最近的维修终端接单成功，以便运维人员尽快到达设备现场开展工作。
本发明实施例提供的一种基于物联网的设备维护管理方法，通过对设备的实时监测跟踪及定位，能够在发现故障时及时下达维修任务，并方便维修人员准确到达设备现场进行维修，减少因中间信息流转不畅，造成的无效的时间浪费，有效的减少因停机给企业带来的损失，保证了维修的及时性、有效性、维修质量的可控性。
具体的，在该实施例中，如图13所示，还包括：
导航模块1305，用于根据所述距离设备最近的维修终端的位置信息及锅炉的位置信息生成导航信息，将导航信息下发至所述距离设备最近的维修终端。
具体的，如果厂区较大，设备分布较分散，运维人员需要根据维修工单中的设备位置信息自行导航，以便确认前往设备现场的路线，本实施例中，服务器在确认维修终端接单成功后，可根据维修终端反馈的位置信息，自动生成导航信息并下发至接单成功的维修终端，进一步节省故障处理时间。
在上述任意一个实施例的基础上，本发明实施例提供的另一种基于物联网的设备维护管理系统，还包括：存储模块，用于接收并存储维修终端上报的故障处理信息，所述故障处理信息包括故障原因、发生故障的部件、维修方法、维修起止时间和维修人员。
具体的，例如，在某次故障处理完毕后，维修人员在维修终端上填写：“故障原因：锅炉蒸汽压力高异常报警，发生故障的部件：压力表，维修方法：检查发现压力表损坏，维修方法：更换压力表，维修起止时间：15：00pm-17：00pm，维修人员：张三、李四”，填写完成后确认上报。
本发明实施例提供的一种基于物联网的设备维护管理系统，通过记录故障处理过程，便于之后查找和总结故障处理经验，提高维修人员的维修技能。
可选地，在该实施例中，该系统还包括更新模块和提示模块，所述故障处理信息还包括更换部件的名称及数量，所述更新模块，用于根据所述更换部件的名称及数量更新预先存储的更换部件的备件库存数量，所述提示模块，用于当所述备件库存数量低于预设值时，生成提示信息。
具体的，在上一个实施例中，维修人员还要填写：“更换部件：压力表，数量：1个”，填写完成并上报后，更新模块将预先存储的压力表的备件库存数量减去1，如果此时压力表的库存备件数量为2，而预设的备件库存数量为3，则提示模块生成提示信息，提示库存管理人员进行备件采购。
上述实施例中，能够及时跟踪记录更换部件的情况，实时更新库存，便于准确掌握库存情况，在库存较少时自动提醒，及时采购。
读者应理解，在本说明书的描述中，参考术语“一个实施例”、“一些实施例”、“示例”、“具体示例”、或“一些示例”等的描述意指结合该实施例或示例描述的具体特征、结构、材料或者特点包含于本发明的至少一个实施例或示例中。在本说明书中，对上述术语的示意性表述不必针对的是相同的实施例或示例。而且，描述的具体特征、结构、材料或者特点可以在任一个或多个实施例或示例中以合适的方式结合。此外，在不相互矛盾的 情况下，本领域的技术人员可以将本说明书中描述的不同实施例或示例以及不同实施例或示例的特征进行结合和组合。
所属领域的技术人员可以清楚地了解到，为了描述的方便和简洁，上述描述的装置和单元的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
在本申请所提供的几个实施例中，应该理解到，所揭露的装置和方法，可以通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如，单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。
作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本发明实施例方案的目的。
另外，在本发明各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以是两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。
集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本发明的技术方案本质上或者说对现有技术做出贡献的部分，或者该技术方案的全部或部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本发明各个实施例方法的全部或部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、磁碟或者光盘等各种可以存储程序代码的介质。
以上，仅为本发明的具体实施方式，但本发明的保护范围并不局限于此，任何熟悉本技术领域的技术人员在本发明揭露的技术范围内，可轻易想到各种等效的修改或替换，这些修改或替换都应涵盖在本发明的保护范围之内。因此，本发明的保护范围应以权利要求的保护范围为准。

Claims (10)

  1. 一种基于物联网的设备维护管理方法，其特征在于，包括以下步骤：
    接收信号采集终端上报的设备监测数据及设备的位置信息；
    当根据所述信号采集终端上报的设备监测数据，确定所述设备监测数据异常时，生成故障报警信息；
    根据所述故障报警信息和设备的位置信息生成维修工单并下发至维修终端，以使维修人员根据维修工单处理故障。
  2. 根据权利要求1所述的方法，其特征在于，还包括当根据预先存储的维修计划，确定对设备进行维修时，生成计划维修信息；
    根据所述计划维修信息和设备的位置信息生成维修工单并下发至维修终端，以使维修人员根据维修工单对设备进行维修。
  3. 根据权利要求1或2所述的方法，其特征在于，还包括在接收多个维修终端反馈的接单信息时，确定最早反馈接单信息的维修终端接单成功，生成接单成功的消息并发送至所述最早反馈接单信息的维修终端。
  4. 根据权利要求1或2所述的方法，其特征在于，还包括在下发维修工单后预设时间范围内接收到多个维修终端反馈的接单信息时，根据所述接单信息内包含的维修终端的位置信息确定与设备距离最近的维修终端接单成功，生成接单成功的消息并发送至所述距离设备最近的维修终端。
  5. 根据权利要求4所述的方法，其特征在于，还包括根据所述距离设备最近的维修终端的位置信息及设备的位置信息生成导航信息，将导航信息下发至所述距离设备最近的维修终端。
  6. 一种基于物联网的设备维护管理系统，其特征在于，包括：
    信号接收模块，用于接收信号采集终端上报的设备监测数据及设备的位置信息；
    故障报警模块，用于当根据所述信号采集终端上报的设备监测数据，确定所述设备监测数据异常时，生成故障报警信息；
    工单下发模块，用于根据所述故障报警信息和设备的位置信息生成维修工单并下发至维修终端，以使维修人员根据维修工单处理故障。
  7. 根据权利要求6所述的系统，其特征在于，还包括计划维修模块，用于当根据预先存储的维修计划，确定对设备进行维修时，生成计划维修信息；
    所述工单下发模块，还用于根据所述计划维修信息和设备的位置信息生成维修工单并下发至维修终端，以使维修人员根据维修工单对设备进行维修。
  8. 根据权利要求6或7所述的系统，其特征在于，还包括第一接单确认模块，用于在接收多个维修终端反馈的接单信息时，确定最早反馈接单信息的维修终端接单成功，生成接单成功的消息并发送至所述最早反馈接单信息的维修终端。
  9. 根据权利要求6或7所述的系统，其特征在于，还包括第二接单确认模块，用于在下发维修工单后预设时间范围内接收到多个维修终端反馈的接单信息时，根据所述接单信息内包含的维修终端的位置信息确定与设备距离最近的维修终端接单成功，生成接单成功的消息并发送至所述距离设备最近的维修终端。
  10. 根据权利要求8所述的系统，其特征在于，还包括导航模块，用于根据所述距离设备最近的维修终端的位置信息及设备的位置信息生成导航信息，将导航信息下发至所述距离设备最近的维修终端。
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