CN114363157A - Equipment management method, device, equipment and medium based on equipment cloud platform - Google Patents
Equipment management method, device, equipment and medium based on equipment cloud platform Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0677—Localisation of faults
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- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0805—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
- H04L43/0817—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking functioning
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Abstract
The invention relates to a device management method, a device, equipment and a medium based on a device cloud platform, relating to the technical field of Internet of things, wherein the method comprises the following steps: receiving state information sent by industrial production equipment, and determining the state of the industrial production equipment according to the state information of the industrial production equipment, wherein the state of the industrial production equipment comprises a shutdown state; if the state of the industrial production equipment is a shutdown state, sending a self-checking instruction to the industrial production equipment so as to enable the industrial production equipment to carry out fault detection; receiving fault detection information sent by the industrial production equipment, and determining the fault position of the industrial production equipment according to the fault detection information; and pushing the fault position of the industrial production equipment to a monitoring terminal. The invention enables the working personnel to clearly master the operation condition of the industrial production equipment; the fault position can be quickly determined through the monitoring terminal, the time for searching the fault position is saved, and the production efficiency is improved.
Description
Technical Field
The invention relates to the technical field of Internet of things, in particular to a device management method, device and medium based on a device cloud platform.
Background
In the field of manufacturing, the introduction of internet of things and services into the fourth industrial revolution, namely the 4.0 stage of industry, is being pursued. Aiming at the surplus industrial capacity at present, the solution of adopting the Internet plus manufacturing in the manufacturing industry becomes a great trend. The industrial cloud platform provides strong data transmission, storage and processing capability, and helps equipment manufacturing enterprises to collect and process a large amount of industrial production equipment data. The industrial production equipment is connected to the cloud platform to realize remote monitoring, big data processing and application, the added value of the industrial production equipment is increased, and equipment manufacturing is realized. And (4) an important means for improving enterprise benefits. In the prior art, the industrial internet of things generally acquires data information of industrial production equipment, uploads the data information to a cloud server, and then performs upper-layer application of the internet of things to monitor and manage the industrial production equipment.
In the prior art of the industrial internet of things, the original equipment cloud platform is unclear about the running condition of the equipment, and the faulty equipment is replaced after the faulty equipment is searched in a manual patrol mode, so that a large amount of time is wasted, and the production efficiency is low.
Disclosure of Invention
The invention provides a device management method, a device, equipment and a medium based on a device cloud platform, which aim to solve the problems that the running condition of the equipment is not clear, and the faulty equipment needs to be replaced after the faulty equipment needs to be searched in a manual patrol mode in the prior art, so that the production efficiency is low.
In order to solve the problems, the invention adopts the following technical scheme: the method comprises the following steps:
in a first aspect, the present invention provides a device management method based on a device cloud platform, where the method is applied to a cloud platform server, and the method includes:
receiving state information sent by industrial production equipment, and determining the state of the industrial production equipment according to the state information of the industrial production equipment, wherein the state of the industrial production equipment comprises a shutdown state;
if the state of the industrial production equipment is a shutdown state, sending a self-checking instruction to the industrial production equipment so as to enable the industrial production equipment to carry out fault detection;
receiving fault detection information sent by the industrial production equipment, and determining the fault position of the industrial production equipment according to the fault detection information;
and pushing the fault position of the industrial production equipment to a monitoring terminal.
The further technical scheme is that the state of the industrial production equipment further comprises a working state, and after the state of the industrial production equipment is determined according to the state information of the industrial production equipment, the method further comprises the following steps:
counting the time used by the industrial production equipment in the working state within a preset time period;
and calculating the proportion of the time used by the industrial production equipment in the working state to a preset time period to obtain the equipment utilization rate of the industrial production equipment.
The further technical scheme is that the states of the industrial production equipment further include an offline state and an idle state, and after the proportion of the time used by the industrial production equipment in the working state in a preset time period is calculated to obtain the equipment utilization rate of the industrial production equipment, the method further includes:
respectively counting the time used by the industrial production equipment in the offline state, the shutdown state and the idle state within a preset time period;
respectively calculating the proportion of the time used by the industrial production equipment in the offline state, the shutdown state and the idle state to a preset time period;
and displaying the proportion of the time used by the industrial production equipment in the working state, the off-line state, the shutdown state and the idle state in a preset time period through a chart.
The further technical scheme is that the fault detection information comprises equipment temperature detection information, conveyor belt speed detection information, safety door detection information and vibration speed detection information of a motor, the equipment temperature detection information comprises a temperature value of industrial production equipment and a temperature threshold value set by the temperature detection equipment corresponding to the industrial production equipment, the conveyor belt speed detection information comprises a conveyor belt speed and a speed value set by the detection equipment corresponding to the conveyor belt, the safety door detection information comprises a level signal sent by the detection equipment corresponding to the safety door and a signal in a safety door closing state, the vibration speed detection information of the motor comprises a vibration speed of the motor and a vibration speed set by the detection equipment corresponding to the motor, the fault detection information sent by the industrial production equipment is received, and the fault position of the industrial production equipment is determined according to the fault detection information, the method comprises the following steps:
extracting device temperature detection information from the fault detection information;
if the temperature value of the industrial production equipment in the equipment temperature detection information is higher than the temperature threshold value set by the temperature detection equipment corresponding to the industrial production equipment, judging that the industrial production equipment is a fault position;
extracting vibration speed detection information of a motor from the fault detection information;
if the vibration speed of the motor in the vibration speed detection information of the motor is higher than the vibration speed set by the detection equipment corresponding to the motor, determining that the motor is a fault position;
extracting conveyor speed detection information from the fault detection information;
if the conveyor belt speed in the conveyor belt speed detection information is higher than the speed value set by the detection equipment corresponding to the conveyor belt, determining that the conveyor belt is a fault position;
extracting safety door detection information from the fault detection information;
and if the level signal sent by the detection equipment corresponding to the safety door in the safety door detection information is different from the signal in the closing state of the safety door, judging that the safety door is a fault position.
A further technical solution is that, after receiving the state information sent by the industrial production equipment and determining the state of the industrial production equipment according to the state information of the industrial production equipment, the method further includes:
acquiring the service life of each part in the industrial production equipment, and counting the total time used by the industrial production equipment in the working state;
setting alarm time thresholds of all parts according to the service lives of all parts in the industrial production equipment, wherein the alarm time thresholds are smaller than the service lives;
respectively judging whether the alarm time threshold of each part is less than the total time of the industrial production equipment in the working state;
and if so, sending an alarm prompt corresponding to each part.
A further technical solution is that, after receiving the state information sent by the industrial production equipment and determining the state of the industrial production equipment according to the state information of the industrial production equipment, the method further includes:
receiving identification information and process information of the product uploaded by the industrial production equipment;
storing the identification information and the process information;
if a process information query request sent by a monitoring terminal is received, querying process information according to the process information query request, wherein the process information query request is sent to a cloud platform server after the monitoring terminal scans a query two-dimensional code on a product, and the process information query request contains identification information of the product;
and sending the inquired process information to the monitoring terminal.
In a second aspect, the present invention provides an equipment management method based on an equipment cloud platform, where the method is applied to industrial production equipment, and the method includes:
sending state information to a cloud platform server, wherein the state information is used for the cloud platform server to determine the state of the industrial production equipment, and the state of the industrial production equipment comprises a shutdown state;
if a self-checking instruction sent by a cloud platform server is received, fault detection is carried out on the industrial production equipment to obtain fault detection information, and the fault detection information is sent to the cloud platform server; and the self-checking instruction is sent when the cloud platform server determines that the state of the industrial production equipment is a shutdown state according to the state information.
In a third aspect, the present invention further provides a device management apparatus based on a device cloud platform, including means for performing the method according to the first aspect, or means for performing the method according to the second aspect.
In a fourth aspect, the present invention further provides a processor, including a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface, and the memory complete mutual communication through the communication bus;
a memory for storing a computer program;
a processor for implementing the steps of the method of the first aspect or the steps of the method of the second aspect when executing the program stored in the memory.
In a fifth aspect, the present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method of the first aspect or the steps of the method of the second aspect.
Compared with the prior art, the technical scheme provided by the embodiment of the invention has the following advantages:
according to the equipment management method, the device, the equipment and the medium based on the equipment cloud platform, provided by the embodiment of the invention, the method receives the state information sent by the industrial production equipment and determines the state of the industrial production equipment according to the state information of the industrial production equipment, so that a worker can clearly master the operation condition of the industrial production equipment; when the state of the industrial production equipment is in a shutdown state, a self-checking instruction is sent to the industrial production equipment, fault detection information sent by the industrial production equipment is received, the fault position of the industrial production equipment is determined according to the fault detection information, and the fault position of the industrial production equipment is pushed to the monitoring terminal, so that a worker can quickly determine the fault position through the monitoring terminal, the time for searching the fault position is saved, and the production efficiency is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a schematic flowchart of an apparatus management method based on an apparatus cloud platform according to embodiment 1 of the present invention;
fig. 2 is a flow schematic sub-diagram of an apparatus management method based on an apparatus cloud platform according to embodiment 1 of the present invention;
fig. 3 is a schematic flowchart of an apparatus management method based on an apparatus cloud platform according to embodiment 2 of the present invention;
fig. 4 is a schematic flowchart of an apparatus management method based on an apparatus cloud platform according to embodiment 3 of the present invention;
fig. 5 is a block diagram of a device management apparatus based on a device cloud platform according to embodiment 4 of the present invention;
fig. 6 is a block diagram of a device management apparatus based on a device cloud platform according to embodiment 5 of the present invention;
fig. 7 is a block diagram of a device management apparatus based on a device cloud platform according to embodiment 6 of the present invention;
fig. 8 is a schematic structural diagram of a processor according to embodiment 7 of the present invention.
Detailed Description
In order to more fully understand the technical content of the present invention, the technical solution of the present invention will be further described and illustrated with reference to the following specific embodiments, but not limited thereto.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It should also be understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
Example 1
Referring to fig. 1, and referring to fig. 2, fig. 1 is a schematic flowchart of a device management method based on a device cloud platform according to embodiment 1 of the present invention. The equipment management method based on the equipment cloud platform is applied to a cloud platform server. Specifically, as shown in FIG. 1, the method includes the following steps S101-S104.
S101, receiving state information sent by industrial production equipment, and determining the state of the industrial production equipment according to the state information of the industrial production equipment.
The state of the industrial production equipment comprises a shutdown state, a working state, an offline state and an idle state, each state has corresponding state information, for example, the state information in the shutdown state is a power supply disconnection signal, and when the cloud platform server receives the state information sent by the industrial production equipment, the current state of the industrial production equipment is determined to be one of the shutdown state, the working state, the offline state and the idle state according to the state information of the industrial production equipment.
And S102, if the state of the industrial production equipment is a shutdown state, sending a self-checking instruction to the industrial production equipment so as to enable the industrial production equipment to carry out fault detection.
When the cloud platform server receives state information sent by industrial production equipment and determines that the current state of the industrial production equipment is a shutdown state according to the state information of the industrial production equipment, a self-checking instruction is sent to the industrial production equipment, and the self-checking instruction enables the industrial production equipment to perform fault detection by itself.
S103, receiving fault detection information sent by the industrial production equipment, and determining the fault position of the industrial production equipment according to the fault detection information.
In all embodiments of the present invention, the fault detection information is derived from alarm information caused by an abnormality of the industrial production equipment itself or an abnormality detected by a sensor during the operation of the industrial production equipment, for example: when the industrial production equipment runs, the safety door is not closed; during transportation, the vacuum value is abnormal; the process values (cylinder pressure, heating temperature, etc.) set by the production process exceed the range, so the sensors do not only refer to temperature detection equipment corresponding to industrial production equipment, detection equipment corresponding to a conveyor belt, detection equipment corresponding to a safety door and detection equipment corresponding to a motor, but the detection equipment is only a part of sensors. And detecting corresponding values such as temperature and pressure in the production process by corresponding sensors, sending the values to a controller (an industrial personal computer or PLC) of the industrial production equipment, and uploading the values to a cloud platform server by the controller of the industrial production equipment.
When the cloud platform server to industrial production equipment sends the self-checking instruction and makes industrial production equipment carries out fault detection by oneself, receives the fault detection information that industrial production equipment sent, fault detection information includes equipment temperature detection information, conveyer belt speed detection information, emergency exit detection information and the vibration speed detection information of motor, equipment temperature detection information includes the temperature value of industrial production equipment and the temperature threshold value that the temperature detection equipment that industrial production equipment corresponds set for, the vibration speed detection information of motor includes the vibration speed of motor and the vibration speed that detection equipment that the motor corresponds set for, consequently according to equipment temperature detection information, conveyer belt speed detection information, emergency exit detection information and the vibration speed detection information of motor in the fault detection information judge to be industrial production equipment, And determining who is out of the motor, the conveyor belt and the safety gate, so that the fault location of the industrial production equipment is at least one of the industrial production equipment, the motor, the conveyor belt and the safety gate. Of course, the embodiment of the present invention does not specifically limit the failure location, and the failure location may be any one part of the industrial production equipment, and is not necessarily at least one of the industrial production equipment, the motor, the conveyor belt, and the safety door.
As shown in fig. 2, in an embodiment, the failure detection information includes device temperature detection information, conveyor speed detection information, safety gate detection information, and motor vibration speed detection information, the device temperature detection information includes a temperature value of an industrial production device and a temperature threshold set by a temperature detection device corresponding to the industrial production device, the conveyor speed detection information includes a conveyor speed and a speed value set by a detection device corresponding to a conveyor belt, the safety gate detection information includes a level signal sent by the detection device corresponding to the safety gate and a signal in a safety gate closed state, the motor vibration speed detection information includes a motor vibration speed and a motor vibration speed set by the detection device corresponding to the motor, the failure detection information sent by the industrial production device is received, and a failure position of the industrial production device is determined according to the failure detection information, the method comprises the following steps:
and S1031, extracting the device temperature detection information from the fault detection information.
And the cloud platform server extracts the fault detection information by using a preset extraction algorithm, so as to obtain the equipment temperature detection information, wherein the preset extraction algorithm is compiled and configured by a user.
And S1032, if the temperature value of the industrial production equipment in the equipment temperature detection information is higher than the temperature threshold value set by the temperature detection equipment corresponding to the industrial production equipment, determining that the industrial production equipment is a fault position.
The cloud platform server compares the temperature value of the industrial production equipment in the equipment temperature detection information with the temperature threshold value set by the temperature detection equipment corresponding to the industrial production equipment, and when the temperature value of the industrial production equipment is detected to be higher than the temperature threshold value set by the temperature detection equipment corresponding to the industrial production equipment, namely the heating temperature inside the industrial production equipment exceeds the set heating temperature process value range, the industrial production equipment is judged to be a fault position.
S1033, vibration speed detection information of the motor is extracted from the failure detection information.
And the cloud platform server extracts the fault detection information by using a preset extraction algorithm, so as to obtain the vibration speed detection information of the motor, wherein the preset extraction algorithm is compiled and configured by a user.
S1034, if the vibration speed of the motor in the vibration speed detection information of the motor is higher than the vibration speed set by the detection device corresponding to the motor, determining that the motor is a fault location.
The cloud platform server compares the vibration speed of the motor in the vibration speed detection information of the motor with the vibration speed set by the detection equipment corresponding to the motor, and when the vibration speed of the motor is detected to be higher than the vibration speed set by the detection equipment corresponding to the motor, the motor is judged to be a fault position.
S1035, extracting conveyor speed detection information from the failure detection information.
And the cloud platform server extracts the fault detection information by using a preset extraction algorithm, so that the speed detection information of the conveyor belt is obtained, wherein the preset extraction algorithm is compiled and configured by a user.
S1036, if the conveyor belt speed in the conveyor belt speed detection information is higher than the speed value set by the detection device corresponding to the conveyor belt, determining that the conveyor belt is a failure position.
And the cloud platform server compares the speed of the conveyor belt with the speed value set by the detection equipment corresponding to the conveyor belt, and when the speed of the conveyor belt is detected to be higher than the speed value set by the detection equipment corresponding to the conveyor belt, the conveyor belt is judged to be a fault position.
S1037, extracting security gate detection information from the failure detection information.
And the cloud platform server extracts the fault detection information by using a preset extraction algorithm, so as to obtain the safety door detection information, wherein the preset extraction algorithm is compiled and configured by a user.
And S1038, if the level signal sent by the detection equipment corresponding to the safety door in the safety door detection information is different from the signal in the closing state of the safety door, determining that the safety door is a failure position.
The cloud platform server compares the level signal sent by the detection equipment corresponding to the safety door with the signal in the closing state of the safety door, for example: the level signal sent by the detection equipment corresponding to the safety door is high level, and the signal in the closed state of the safety door is low level under the normal condition, so that the level signal sent by the detection equipment corresponding to the safety door is different from the signal in the closed state of the safety door, and the safety door is judged to be a fault position.
And S104, pushing the fault position of the industrial production equipment to a monitoring terminal.
And after the cloud platform server judges the fault position, pushing the fault position of the industrial production equipment to the monitoring terminal, so that the monitoring terminal displays the picture of the monitored fault position to a worker.
Specifically, by receiving the state information sent by the industrial production equipment and determining the state of the industrial production equipment according to the state information of the industrial production equipment, workers can clearly master the operation condition of the industrial production equipment; when the state of the industrial production equipment is in a shutdown state, a self-checking instruction is sent to the industrial production equipment, fault detection information sent by the industrial production equipment is received, the fault position of the industrial production equipment is determined according to the fault detection information, and the fault position of the industrial production equipment is pushed to the monitoring terminal, so that a worker can quickly determine the fault position through the monitoring terminal, the time for searching the fault position is saved, and the production efficiency is improved.
Example 2
Referring to fig. 3, fig. 3 is a schematic flowchart of a device management method based on a device cloud platform according to embodiment 2 of the present invention. The equipment management method based on the equipment cloud platform is applied to a cloud platform server. The device management method based on the device cloud platform in embodiment 2 includes steps S201 to S217, where steps S201 to S204 are similar to steps S101 to S104 in embodiment 1, and are not described again here. The added steps S205 to S217 in the present embodiment are explained in detail below.
S205, counting the time used by the industrial production equipment in the working state within a preset time period.
In specific implementation, the preset time period is one day (i.e. 24 hours), the cloud platform server determines that the state of the industrial production equipment at the current time is the working state according to the state information of the industrial production equipment, and sums all the times when the state of the industrial production equipment is the working state, so as to obtain the time used by the industrial production equipment in the working state within 24 hours. The preset time period is a time value set by a user and can be changed according to the setting of the user requirement.
And S206, calculating the proportion of the time used by the industrial production equipment in the working state to a preset time period to obtain the equipment utilization rate of the industrial production equipment.
In specific implementation, after the cloud platform server counts the time used by the industrial production equipment in the working state within 24 hours, the proportion of the time used by the industrial production equipment in the working state to the time of one day (namely 24 hours) is further calculated, so that the equipment utilization rate of the industrial production equipment is obtained.
And S207, respectively counting the time used by the industrial production equipment in the offline state, the shutdown state and the idle state within a preset time period.
In specific implementation, the cloud platform server determines that the state of the industrial production equipment at a certain moment is the offline state according to the state information of the industrial production equipment, and sums all the moments when the state of the industrial production equipment is the offline state, so as to obtain the time used by the industrial production equipment in the offline state within 24 hours;
the cloud platform server determines that the state of the industrial production equipment at a certain moment is the shutdown state according to the state information of the industrial production equipment, and sums all the moments when the state of the industrial production equipment is the shutdown state, so that the time used by the industrial production equipment in the shutdown state within 24 hours is obtained;
and the cloud platform server determines that the state of the industrial production equipment is in the idle state at a certain moment according to the state information of the industrial production equipment, and sums all the moments when the state of the industrial production equipment is in the idle state, so that the time used by the industrial production equipment in the idle state within 24 hours is obtained.
And S208, respectively calculating the proportion of the time used by the industrial production equipment in the offline state, the shutdown state and the idle state to a preset time period.
In a specific implementation, the cloud platform server calculates the proportion of the time of the industrial production equipment in the offline state, the shutdown state and the idle state to the time of one day (i.e. 24 hours), respectively.
S209, the proportion of the time used by the industrial production equipment in the working state, the off-line state, the shutdown state and the idle state in a preset time period is shown through a chart.
In specific implementation, after respectively calculating proportions of time of the industrial production equipment in the offline state, the shutdown state and the idle state, which accounts for one day (namely 24 hours), the cloud platform server combines the proportions into a pie chart, displays the times in each state in a pie chart mode, and simultaneously displays the times in each state, so that the proportions of the time of the industrial production equipment in each state and the times in use in 24 hours of the day can be seen from the pie chart; meanwhile, the time point, the fault location and the duration of the industrial production equipment in the shutdown state are displayed in a line graph.
S210, obtaining the service life of each part in the industrial production equipment, and counting the total time used by the industrial production equipment in the working state.
In a specific implementation, each part in the industrial production equipment is damaged, so that each part has a corresponding service life, when the industrial production equipment is just put into production, the cloud platform server starts to count the total time used by the industrial production equipment in the working state, wherein the total time used by the industrial production equipment in the working state is the sum of the time used in the working state from the beginning of putting into production of the industrial production equipment to the current time.
S211, setting alarm time thresholds of all parts according to the service lives of all parts in the industrial production equipment.
In specific implementation, the alarm time threshold of each part is shorter than the service life corresponding to each part.
S212, respectively judging whether the alarm time threshold of each part is less than the total time used by the industrial production equipment in the working state.
In specific implementation, after the cloud platform server sets an alarm time threshold smaller than the service life corresponding to each part according to the service life of each part in the industrial production equipment, the cloud platform server compares the alarm time threshold of each part with the total time used by the industrial production equipment in the working state.
And S213, if so, sending alarm prompts corresponding to the parts.
In specific implementation, when the alarm time threshold of the part is smaller than the total time used by the industrial production equipment in the working state, the cloud platform server sends an alarm prompt of the part to a terminal of a maintenance worker to prompt the maintenance worker that the part needs to be replaced. The alarm prompt may include the manufacturer, model, lot, and specific location of the part, so that maintenance personnel can prepare as early as possible.
S214, receiving the identification information and the process information of the product uploaded by the industrial production equipment.
In specific implementation, the cloud platform server receives identification information of a product and process information of the product, wherein the identification information includes an ID of the product, the process information can be matched with the identification information, and the process information includes process conditions for manufacturing the product, production time of the product, information of industrial production equipment for producing the product, materials for producing the product, and the like.
S215, storing the identification information and the process information.
In specific implementation, the cloud platform server stores the identification information and the process information, and when a user needs to know information of a certain product, the cloud platform server matches the stored identification information with the process information, so that information tracing of the product is realized.
S216, if a process information query request sent by the monitoring terminal is received, querying process information according to the process information query request.
The process information query request is sent to the cloud platform server by the monitoring terminal after scanning the query two-dimensional code on the product, and the process information query request contains identification information of the product.
And S217, sending the inquired process information to the monitoring terminal.
In specific implementation, the cloud platform server sends the inquired process information to the monitoring terminal, so that a user can know the process information of a product.
Meanwhile, in specific implementation, the embodiment of the invention also has a remote maintenance function, software personnel can monitor the running condition of the equipment program of the industrial production equipment and remotely modify the equipment program in an office without going to the production field of the industrial production equipment, the implementation mode of remote modification is to establish a VPN channel after networking the industrial production equipment, and then the computer of the software personnel is also connected with the Internet to remotely modify the equipment program.
Specifically, the equipment utilization rate of the industrial production equipment is obtained by calculating the proportion of the time used by the industrial production equipment in the working state to a preset time period, so that a worker can clearly know the equipment utilization rate, and the state of the industrial production equipment is adjusted according to the equipment utilization rate; the proportion of the time used by the industrial production equipment in the working state, the off-line state, the shutdown state and the idle state in a preset time period is shown through a chart, so that a worker can clearly know the use time and proportion of the industrial production equipment in different states in the preset time period; by setting the alarm time threshold of each part and sending the alarm prompt corresponding to each part, each part can be replaced in advance before the service life of each part is up, so that the production efficiency is not influenced; and the product identification information and the product process information uploaded by the industrial production equipment are acquired and stored, so that the information tracing of the product can be realized.
Example 3
Referring to fig. 4, fig. 4 is a schematic flowchart of a device management method based on a device cloud platform according to embodiment 3 of the present invention. The equipment management method based on the equipment cloud platform is applied to industrial production equipment. The device management method based on the device cloud platform of embodiment 3 includes steps S301 to S302.
S301, sending the state information to a cloud platform server.
In specific implementation, the state information is used for the cloud platform server to determine the state of the industrial production device, the state of the industrial production device includes a shutdown state, and the industrial production device sends the state information to the cloud platform server at each time, for example, the state information in the shutdown state is a power off signal.
S302, if a self-checking instruction sent by the cloud platform server is received, fault detection is carried out on the industrial production equipment to obtain fault detection information, and the fault detection information is sent to the cloud platform server.
In specific implementation, the self-checking instruction is sent when the cloud platform server determines that the state of the industrial production equipment is a shutdown state according to the state information. The industrial production equipment controls the temperature value of the detection equipment corresponding to the industrial production equipment according to the self-checking instruction, controls the vibration speed of the detection equipment detection motor corresponding to the motor, controls the detection equipment detection corresponding to the conveyor belt to detect the speed of the conveyor belt and controls the detection equipment detection corresponding to the safety door to detect the safety door. Of course, fault detection is not only for industrial production equipment, conveyor belts, safety doors and motors, but also for other parts in the industrial production equipment.
Specifically, state information is sent to a cloud platform server through industrial production equipment, so that the cloud platform server determines the state of the industrial production equipment according to the state information, and workers can clearly master the operation condition of the industrial production equipment; the industrial production equipment carries out fault detection after receiving the self-checking instruction, and sends fault detection information to the cloud platform server, so that the cloud platform server determines the fault position of the industrial production equipment according to the fault detection information, and a worker can quickly determine the fault position, so that the time for finding the fault position is saved, and the production efficiency is improved.
Example 4
Referring to fig. 5, an embodiment of the present invention provides a schematic structural diagram of a device management apparatus 400 based on a device cloud platform. Corresponding to the device management method based on the device cloud platform provided in embodiment 1 above, the present invention also provides a device management apparatus 400 based on the device cloud platform. The device cloud platform-based device management apparatus 400 includes means for executing the device cloud platform-based device management method provided in embodiment 1, and the device cloud platform-based device management apparatus 400 may be configured in a cloud platform server. The device management apparatus 400 based on the device cloud platform includes a first determining unit 401, a first sending unit 402, a second determining unit 403, and a first pushing unit 404.
The first determining unit 401 is configured to receive status information sent by an industrial production device, and determine a status of the industrial production device according to the status information of the industrial production device, where the status of the industrial production device includes a shutdown status.
A first sending unit 402, configured to send a self-check instruction to the industrial production equipment if the state of the industrial production equipment is a shutdown state, so that the industrial production equipment performs fault detection.
A second determining unit 403, configured to receive the fault detection information sent by the industrial production device, and determine a fault location of the industrial production device according to the fault detection information.
The first pushing unit 404 is configured to push the fault location of the industrial production equipment to a monitoring terminal.
In one embodiment, the fault detection information includes device temperature detection information, conveyor belt speed detection information, safety door detection information, and vibration speed detection information of a motor, the device temperature detection information includes a temperature value of an industrial production device and a temperature threshold set by a temperature detection device corresponding to the industrial production device, the conveyor belt speed detection information includes a conveyor belt speed and a speed value set by a detection device corresponding to the conveyor belt, the safety door detection information includes a level signal sent by the detection device corresponding to the safety door and a signal in a closed state of the safety door, the vibration speed detection information of the motor includes a vibration speed of the motor and a vibration speed set by the detection device corresponding to the motor, the fault detection information sent by the industrial production device is received, and a fault position of the industrial production device is determined according to the fault detection information, the method comprises the following steps:
extracting device temperature detection information from the fault detection information;
if the temperature value of the industrial production equipment in the equipment temperature detection information is higher than the temperature threshold value set by the temperature detection equipment corresponding to the industrial production equipment, judging that the industrial production equipment is a fault position;
extracting vibration speed detection information of a motor from the fault detection information;
if the vibration speed of the motor in the vibration speed detection information of the motor is higher than the vibration speed set by the detection equipment corresponding to the motor, determining that the motor is a fault position;
extracting conveyor speed detection information from the fault detection information;
if the conveyor belt speed in the conveyor belt speed detection information is higher than the speed value set by the detection equipment corresponding to the conveyor belt, determining that the conveyor belt is a fault position;
extracting safety door detection information from the fault detection information;
and if the level signal sent by the detection equipment corresponding to the safety door in the safety door detection information is different from the signal in the closing state of the safety door, judging that the safety door is a fault position.
In the embodiment of the invention, by receiving the state information sent by the industrial production equipment and determining the state of the industrial production equipment according to the state information of the industrial production equipment, workers can clearly master the operation condition of the industrial production equipment; when the state of the industrial production equipment is in a shutdown state, a self-checking instruction is sent to the industrial production equipment, fault detection information sent by the industrial production equipment is received, the fault position of the industrial production equipment is determined according to the fault detection information, and the fault position of the industrial production equipment is pushed to the monitoring terminal, so that a worker can quickly determine the fault position through the monitoring terminal, the time for searching the fault position is saved, and the production efficiency is improved.
Example 5
Referring to fig. 6, an embodiment of the present invention further provides a device management apparatus 400 based on a device cloud platform, where the device management apparatus 400 based on the device cloud platform includes a unit configured to execute the device management method based on the device cloud platform provided in embodiment 2, and the device management apparatus 400 based on the device cloud platform may be configured in a cloud platform server. The device management apparatus 400 based on the device cloud platform is different from the device management apparatus 400 based on the device cloud platform proposed in embodiment 4 in that the apparatus further includes: a first statistical unit 405, a first calculating unit 406, a second statistical unit 407, a second calculating unit 408, a first showing unit 409, a third statistical unit 410, a first setting unit 411, a first judging unit 412, a second sending unit 413, a first receiving unit 414, a first storage unit 415, a first querying unit 416, and a third sending unit 417.
A first statistical unit 405, configured to count time used by the industrial production equipment in the working state within a preset time period.
The first calculating unit 406 is configured to calculate a ratio of time used by the industrial production equipment in the working state to a preset time period, so as to obtain an equipment utilization rate of the industrial production equipment.
A second counting unit 407, configured to count times used by the industrial production equipment in the offline state, the shutdown state, and the idle state within a preset time period, respectively.
A second calculating unit 408, configured to calculate proportions of time used by the industrial production equipment in the offline state, the shutdown state, and the idle state to a preset time period, respectively.
The first display unit 409 is used for displaying the proportion of the time used by the industrial production equipment in the working state, the off-line state, the shutdown state and the idle state in a preset time period through a chart.
A third statistical unit 410, configured to obtain service lives of the parts in the industrial production equipment, and count a total time used by the industrial production equipment in the working state.
The first setting unit 411 is configured to set an alarm time threshold of each component according to a service life of each component in the industrial production equipment, where the alarm time threshold is smaller than the service life.
A first judging unit 412, configured to respectively judge whether an alarm time threshold of each component is smaller than a total time used by the industrial production equipment in the working state;
a second sending unit 413, configured to send an alarm prompt corresponding to each part if the alarm time threshold of each part is smaller than the total time used by the industrial production equipment in the working state;
the first receiving unit 414 is configured to receive identification information of a product and process information uploaded by the industrial production equipment.
A first storage unit 415, configured to store the identification information and the process information.
The first query unit 416 is configured to, if a process information query request sent by a monitoring terminal is received, query process information according to the process information query request.
And a third sending unit 417, configured to send the queried process information to the monitoring terminal.
In the embodiment of the invention, the equipment utilization rate of the industrial production equipment is obtained by calculating the proportion of the time used by the industrial production equipment in the working state to a preset time period, so that a worker can clearly know the equipment utilization rate, and the state of the industrial production equipment is adjusted according to the equipment utilization rate; the proportion of the time used by the industrial production equipment in the working state, the off-line state, the shutdown state and the idle state in a preset time period is shown through a chart, so that a worker can clearly know the use time and proportion of the industrial production equipment in different states in the preset time period; by setting the alarm time threshold of each part and sending the alarm prompt corresponding to each part, each part can be replaced in advance before the service life of each part is up, so that the production efficiency is not influenced; and the product identification information and the product process information uploaded by the industrial production equipment are acquired and stored, so that the information tracing of the product can be realized.
Example 6
Referring to fig. 7, an embodiment of the present invention provides a schematic structural diagram of a device management apparatus 400 based on a device cloud platform. Corresponding to the device management method based on the device cloud platform provided in embodiment 3 above, the present invention also provides a device management apparatus 400 based on the device cloud platform. The device management apparatus 400 based on the device cloud platform includes a unit for executing the device management method based on the device cloud platform provided in embodiment 3, and the device management apparatus 400 based on the device cloud platform may be configured in an industrial production device. The device management apparatus 400 based on the device cloud platform includes a fourth sending unit 401 and a second receiving unit 402.
A fourth sending unit 401, configured to send status information to the cloud platform server, where the status information is used for the cloud platform server to determine the status of the industrial production device, and the status of the industrial production device includes a shutdown status.
A second receiving unit 402, configured to, if a self-check instruction sent by a cloud platform server is received, perform fault detection on the industrial production equipment to obtain fault detection information, and send the fault detection information to the cloud platform server; and the self-checking instruction is sent when the cloud platform server determines that the state of the industrial production equipment is a shutdown state according to the state information.
Specifically, state information is sent to a cloud platform server through industrial production equipment, so that the cloud platform server determines the state of the industrial production equipment according to the state information, and workers can clearly master the operation condition of the industrial production equipment; the industrial production equipment carries out fault detection after receiving the self-checking instruction, and sends fault detection information to the cloud platform server, so that the cloud platform server determines the fault position of the industrial production equipment according to the fault detection information, and a worker can quickly determine the fault position, so that the time for finding the fault position is saved, and the production efficiency is improved.
Example 7
Referring to fig. 8, an embodiment of the present invention further provides a processor, which includes a processor 111, a communication interface 112, a memory 113, and a communication bus 114, where the processor 111, the communication interface 112, and the memory 113 complete mutual communication through the communication bus 114.
A memory 113 for storing a computer program;
the processor 111 is configured to execute the program stored in the memory 113 to implement the device management method based on the device cloud platform according to any one of the foregoing method embodiments.
An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by the processor 111, implements the steps of the device management method based on the device cloud platform, provided in any one of the foregoing method embodiments.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The foregoing are merely exemplary embodiments of the present invention, which enable those skilled in the art to understand or practice the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A device management method based on a device cloud platform is applied to a cloud platform server, and the method comprises the following steps:
receiving state information sent by industrial production equipment, and determining the state of the industrial production equipment according to the state information of the industrial production equipment, wherein the state of the industrial production equipment comprises a shutdown state;
if the state of the industrial production equipment is a shutdown state, sending a self-checking instruction to the industrial production equipment so as to enable the industrial production equipment to carry out fault detection;
receiving fault detection information sent by the industrial production equipment, and determining the fault position of the industrial production equipment according to the fault detection information;
and pushing the fault position of the industrial production equipment to a monitoring terminal.
2. The device management method based on the device cloud platform according to claim 1, wherein the status of the industrial production device further includes an operating status, and after determining the status of the industrial production device according to the status information of the industrial production device, the method further includes:
counting the time used by the industrial production equipment in the working state within a preset time period;
and calculating the proportion of the time used by the industrial production equipment in the working state to a preset time period to obtain the equipment utilization rate of the industrial production equipment.
3. The device management method based on the device cloud platform according to claim 2, wherein the states of the industrial production devices further include an offline state and an idle state, the calculating a ratio of time used by the industrial production devices in the working state to a preset time period further includes, after obtaining a device utilization rate of the industrial production devices:
respectively counting the time used by the industrial production equipment in the offline state, the shutdown state and the idle state within a preset time period;
respectively calculating the proportion of the time used by the industrial production equipment in the offline state, the shutdown state and the idle state to a preset time period;
and displaying the proportion of the time used by the industrial production equipment in the working state, the off-line state, the shutdown state and the idle state in a preset time period through a chart.
4. The device cloud platform-based device management method according to claim 1, wherein the fault detection information includes device temperature detection information, conveyor speed detection information, security gate detection information, and vibration speed detection information of a motor, the device temperature detection information includes a temperature value of an industrial production device and a temperature threshold value set by a temperature detection device corresponding to the industrial production device, the conveyor speed detection information includes a conveyor speed and a speed value set by a detection device corresponding to a conveyor belt, the security gate detection information includes a level signal sent by the detection device corresponding to the security gate and a signal in a security gate closed state, the vibration speed detection information of the motor includes a vibration speed of the motor and a vibration speed set by the detection device corresponding to the motor, and the fault detection information sent by the industrial production device is received, determining the fault position of the industrial production equipment according to the fault detection information, comprising:
extracting device temperature detection information from the fault detection information;
if the temperature value of the industrial production equipment in the equipment temperature detection information is higher than the temperature threshold value set by the temperature detection equipment corresponding to the industrial production equipment, judging that the industrial production equipment is a fault position;
extracting vibration speed detection information of a motor from the fault detection information;
if the vibration speed of the motor in the vibration speed detection information of the motor is higher than the vibration speed set by the detection equipment corresponding to the motor, determining that the motor is a fault position;
extracting conveyor speed detection information from the fault detection information;
if the conveyor belt speed in the conveyor belt speed detection information is higher than the speed value set by the detection equipment corresponding to the conveyor belt, determining that the conveyor belt is a fault position;
extracting safety door detection information from the fault detection information;
and if the level signal sent by the detection equipment corresponding to the safety door in the safety door detection information is different from the signal in the closing state of the safety door, judging that the safety door is a fault position.
5. The device management method based on the device cloud platform according to claim 2, wherein after receiving the status information sent by the industrial production device and determining the status of the industrial production device according to the status information of the industrial production device, the method further comprises:
acquiring the service life of each part in the industrial production equipment, and counting the total time used by the industrial production equipment in the working state;
setting alarm time thresholds of all parts according to the service lives of all parts in the industrial production equipment, wherein the alarm time thresholds are smaller than the service lives;
respectively judging whether the alarm time threshold of each part is less than the total time of the industrial production equipment in the working state;
and if so, sending an alarm prompt corresponding to each part.
6. The device management method based on the device cloud platform according to claim 1, wherein after receiving the status information sent by the industrial production device and determining the status of the industrial production device according to the status information of the industrial production device, the method further comprises:
receiving identification information and process information of the product uploaded by the industrial production equipment;
storing the identification information and the process information;
if a process information query request sent by a monitoring terminal is received, querying process information according to the process information query request, wherein the process information query request is sent to a cloud platform server after the monitoring terminal scans a query two-dimensional code on a product, and the process information query request contains identification information of the product;
and sending the inquired process information to the monitoring terminal.
7. The equipment management method based on the equipment cloud platform is applied to industrial production equipment and comprises the following steps:
sending state information to a cloud platform server, wherein the state information is used for the cloud platform server to determine the state of the industrial production equipment, and the state of the industrial production equipment comprises a shutdown state;
if a self-checking instruction sent by a cloud platform server is received, fault detection is carried out on the industrial production equipment to obtain fault detection information, and the fault detection information is sent to the cloud platform server; and the self-checking instruction is sent when the cloud platform server determines that the state of the industrial production equipment is a shutdown state according to the state information.
8. A device management apparatus based on a device cloud platform, comprising means for performing the method of any one of claims 1-7.
9. The processor is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor and the communication interface are communicated with each other through the communication bus by the memory;
a memory for storing a computer program;
a processor for implementing the steps of the method of any one of claims 1 to 7 when executing a program stored in the memory.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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| CN115174639A (en) * | 2022-09-07 | 2022-10-11 | 吉林信息安全测评中心 | Industrial equipment management method and system based on Internet of things |
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