Smart factory operation management system based on the Internet of Things

Abstract

The present invention relates to the technical field of smart factories, and in particular to a smart factory operation management system based on the Internet of Things, comprising: a perception module, used for real-time perception of operation status information of smart production equipment in the smart factory; a construction module, used for receiving the operation status information of the smart production equipment perceived by the perception module, and applying the operation status information of the smart production equipment to construct an operation posture model of the smart production equipment; the present invention constructs an equipment operation posture model by dynamically monitoring the positions of equipment operation parts, and then evaluates whether the equipment operation status is safe through the equipment operation posture model, thereby further replacing manual management of unmanned smart factories to a large extent, thereby realizing a greater degree of unmanned production, maintaining the stable operation of production equipment, and providing guarantees for the product quality, production timeliness and stability of unmanned production.

Description

Technical Field

[0001] The present invention relates to the technical field of smart factories, and in particular to a smart factory operation management system based on the Internet of Things. Background Art

[0002] Smart factory is an advanced model of modern manufacturing. It deeply integrates technologies such as the Internet of Things, big data, and artificial intelligence. In a smart factory, production equipment is interconnected, which can automatically optimize production processes and predict equipment failures. Through high automation and intelligence, it can improve production efficiency, reduce costs, and enhance product quality and corporate competitiveness.

[0003] The invention patent with application number 202211352599.6 discloses an intelligent factory operation management system based on the Internet of Things, characterized in that it comprises: a sensor unit (10), wherein the sensor in the sensor unit (10) is separately installed in the production equipment of the intelligent factory, and is used to sense the production equipment;

[0004] The edge server (20) is used to receive the data measured by the sensor, process the data, and transmit the data to the Internet of Things terminal unit (30); the edge server (20) includes a communication unit (210), an operation unit (220), an output unit (230), a storage unit (240), a terminal device connection unit (250), a protocol management unit (260), and an edge data processing unit (270); the edge server (20) includes a protocol management unit (260), and the protocol management unit (260) includes a plug-in manager (2610), an agent module (262 0) and a protocol processor (2630); the plug-in manager (2610) is installed on the network expansion slot and is used to manage the agent module (2620) of the communication protocol supported by the communication unit (210); the agent module (2620) is one or more of an OPC-UA agent, a SECS-I agent, a HSMS agent, a Modbus agent, a Profinet agent, an MQTT agent, a COAP agent and an Ethernet-IP agent; the protocol processor (2630) can switch the protocol so that the edge server (20) can recognize and use all data.

[0005] This patent aims to solve the problem that "since the IoT smart factory contains workshops and production lines built in different eras and integrates a variety of different types of sensors, sensors of different eras or types have different communication protocols. Therefore, when the smart factory operation management system uses the sensor data, there will be incompatibility and some data cannot be used by the management system, resulting in low data utilization."

[0006] However, for existing unmanned production factories controlled by intelligent means, the number of supporting equipment is huge. Although unmanned production can be achieved, the management of production equipment still requires a certain amount of labor costs.

[0007] To this end, we proposed an intelligent factory operation management system based on the Internet of Things. Summary of the invention

[0008] In view of the above-mentioned shortcomings of the prior art, the present invention provides an intelligent factory operation management system based on the Internet of Things, which solves the technical problems raised in the above-mentioned background technology.

[0009] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0010] The operation management system of a smart factory based on the Internet of Things includes: a perception module, which is used to perceive the operation status information of smart production equipment in the smart factory in real time; a construction module, which is used to receive the operation status information of the smart production equipment perceived by the perception module, and use the operation status information of the smart production equipment to construct the operation posture model of the smart production equipment; a queue module, which is used to obtain the operation posture model of the smart production equipment constructed by the construction module, and arrange each group of operation posture models of the smart production equipment based on the time sequence to create a queue of operation posture models of the smart production equipment arranged based on the time sequence; an evaluation module, which is used to select the queue of operation posture models of the smart production equipment created in the queue module, and evaluate the operation safety of the smart production equipment based on the queue of operation posture models of the smart production equipment; a sniffing module, which is used to sniff the smart production equipment with unsafe operation status; and an output module, which is used to output the relevant information of the smart production equipment with unsafe operation status sniffed by the sniffing module.

[0011] Furthermore, the perception module is integrated by several groups of position sensors and gravity sensors. The position sensors are deployed on the parts that undergo displacement during the operation of the intelligent production equipment, and each group of parts that undergo displacement during the operation of each group of intelligent production equipment is deployed with a group of position sensors. The gravity sensors are deployed with a group at the input end and output end of each intelligent production equipment. The perception module perceives the timestamps of receiving and outputting products on the intelligent production equipment based on the changes in the transmission position weight of the input end and output end of the intelligent production equipment;

[0012] Among them, the position sensor in the perception module continuously operates based on the same operating frequency to perceive the position information of the component where it is located. The operating frequency of the position sensor is set according to: the operating frequency of the position sensor is customized by the system user, and the higher the dimensional accuracy requirement of the product produced by the intelligent production equipment, the higher the set operating frequency of the position sensor, and vice versa.

[0013] Furthermore, the operating status information of the production equipment sensed by the sensing module, that is, the information sensed by the position sensor and the gravity sensor, is provided with submodules at the lower level of the sensing module, including:

[0014] A storage unit, used to receive the operation status information of the intelligent production equipment sensed by the sensing module, and store the operation status information of the intelligent production equipment;

[0015] A marking unit, used to traverse the intelligent production equipment operation status information stored in the storage unit, and distinguish and mark the intelligent production equipment operation status information;

[0016] Among them, in the operation stage of the storage unit, a set of time thresholds is determined based on the timestamps of receiving and outputting products on the intelligent production equipment in the operation status information of the intelligent production equipment, and the position information sensed by the position sensor on the same intelligent production equipment at the same time threshold is stored, so that the position information sensed by the position sensor in the operation status information of the intelligent production equipment is stored separately in the storage unit, and the information stored in each differentiated storage interval in the storage unit is: all position information sensed by all position sensors on the same intelligent production equipment within the same time threshold. The marking unit performs a distinguishing marking operation on the operation status information of the intelligent production equipment, that is, a marking operation for the names of each differentiated storage interval in the storage unit, and the content of the marking operation is: the installation location information of the intelligent production equipment and the time threshold of the source of the information stored in the differentiated storage interval.

[0017] Furthermore, the building module is internally provided with submodules, including:

[0018] A retrieving unit, used to retrieve the operation status information of the intelligent production equipment stored in the storage unit, and forward the retrieved operation status information of the intelligent production equipment to the construction module;

[0019] Among them, when the calling unit is running, the operating status information of the intelligent production equipment is called based on the tag name that distinguishes the storage interval in the storage unit, so that the operating status information of the intelligent production equipment called by the calling unit itself each time is: the operating status information of the intelligent production equipment within different time thresholds from the same intelligent production equipment, and the construction module continuously runs to construct the operating posture model of the intelligent production equipment based on the operating status information of the intelligent production equipment continuously called by the calling unit.

[0020] Furthermore, when the construction module runs to construct the operation posture model of the intelligent production equipment, the operation status information of the intelligent production equipment corresponding to a set of distinguished storage intervals retrieved by the calling unit is used as a set of construction data of the operation posture model of the intelligent production equipment, and the position information sensed by the continuous operation of the same position sensor based on the operation frequency is called in sequence in the operation status information of the intelligent production equipment to construct the operation path model of the parts of the intelligent production equipment corresponding to the position sensor. The combination of several groups of operation path models constructed by the operation status information of the intelligent production equipment corresponding to the same distinguished storage interval is recorded as the operation posture model of the intelligent production equipment.

[0021] Furthermore, during the operation phase of the queue module, the time thresholds of the operation status information marks of the operation posture models of each group of intelligent production equipment corresponding to the intelligent production equipment are traversed, so that the operation posture models of the intelligent production equipment belonging to the same intelligent production equipment create a group of queues, and the operation posture models of the intelligent production equipment in the queue are sorted based on time sequence;

[0022] Among them, in the intelligent production equipment operation posture model queue, there are no less than three groups of intelligent production equipment operation posture models. The intelligent production equipment operation posture models with earlier construction time are in the front, and the intelligent production equipment operation posture models with more recent construction time are in the back. The intelligent production equipment operation posture model queue constructed in the queue module is iterated to the storage unit in real time, and the intelligent production equipment operation status information corresponding to each intelligent production equipment operation posture model queue in the iterative intelligent production equipment operation posture model queue is iterated.

[0023] Furthermore, the evaluation logic of the operation safety of the intelligent production equipment in the evaluation module is expressed as:

[0024]

[0025] Wherein: k is the performance value of the operation safety of intelligent production equipment; λ is a constant; n is the total number of intelligent production equipment operation posture models in the intelligent production equipment operation posture model queue; sim(i,i+1) is the similarity between the intelligent production equipment operation posture model i and the intelligent production equipment operation posture model i+1; m is the total number of operation path models in the intelligent production equipment operation posture model; (x1,y1), (x2,y2), (x3,y3), (x4,y4) are the endpoint position coordinates of the two groups of operation path models corresponding to the same position sensor in the intelligent production equipment operation posture model i and the intelligent production equipment operation posture model i+1; L j , L j+1 is the length between the running path model j in the running posture model i of the intelligent production equipment and the running path model j+1 in the running posture model i+1 of the intelligent production equipment; max(L j ,L j+1) is the length L j , L j+1 The maximum length in; α, β are weights;

[0026] Among them, the sum of weights α and β is 1, α>β, constant λ>0, and the larger the performance value k of the operation safety of intelligent production equipment is, the safer the operation of the intelligent production equipment is, and vice versa, the less safe the operation of the intelligent production equipment is.

[0027] Furthermore, a safety judgment threshold is set in the sniffing module. During the operation phase of the sniffing module, the operation safety assessment result of the intelligent production equipment in the assessment module is obtained, and the assessment result is compared with the safety judgment threshold. Based on the comparison result, the intelligent production equipment with an unsafe operation status is sniffed.

[0028] Furthermore, the relevant information of the intelligent production equipment with unsafe operation status output by the output module is: the marking content of the storage interval where the corresponding operation status information of the intelligent production equipment with unsafe operation status is located in the storage unit;

[0029] The output module is connected to a computer device held by a system end user via a wireless network, and transmits relevant information of the intelligent production equipment in an unsafe operating state to the computer device via the wireless network for the system end user to read.

[0030] Furthermore, the perception module is interactively connected to a storage unit and a marking unit at the lower level through a wireless network, the perception module is interactively connected to a construction module and a queue module through a wireless network, the construction module is interactively connected to a retrieval unit through a wireless network, the retrieval unit is interactively connected to the marking unit through a wireless network, the queue module is interactively connected to the storage unit through a wireless network, and the queue module is interactively connected to the evaluation module, the sniffing module and the output module through a wireless network.

[0031] Compared with the known public technology, the technical solution provided by the present invention has the following beneficial effects:

[0032] The present invention provides an intelligent factory operation management system based on the Internet of Things. During operation, the system constructs an equipment operation posture model by dynamically monitoring the positions of equipment operation parts, and then evaluates whether the equipment operation status is safe through the equipment operation posture model. In this way, manual management of unmanned intelligent factories is further replaced to a large extent, thereby realizing unmanned production to a greater extent, maintaining the stable operation of production equipment, and providing guarantees for the product quality, production timeliness and stability of unmanned production. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0034] Figure 1 This is a structural diagram of the smart factory operation management system based on the Internet of Things;

[0035] Figure 2 This is an example schematic diagram of the operation posture model queue of the intelligent production equipment in the present invention. DETAILED DESCRIPTION

[0036] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0037] The present invention will be further described below in conjunction with the embodiments.

[0038] Embodiment 1:

[0039] The smart factory operation management system based on the Internet of Things in this embodiment is as follows: Figure 1 As shown, including:

[0040] The perception module is used to perceive the operating status information of intelligent production equipment in the intelligent factory in real time;

[0041] A construction module is used to receive the operation status information of the intelligent production equipment sensed by the perception module, and use the operation status information of the intelligent production equipment to construct an operation posture model of the intelligent production equipment;

[0042] The building block has sub-modules inside, including:

[0043] A retrieving unit, used to retrieve the operation status information of the intelligent production equipment stored in the storage unit, and forward the retrieved operation status information of the intelligent production equipment to the construction module;

[0044] Among them, when the calling unit is running, the running status information of the intelligent production equipment is called based on the tag name that distinguishes the storage interval in the storage unit, so that the running status information of the intelligent production equipment called by the calling unit itself each time is: the running status information of the intelligent production equipment within different time thresholds from the same intelligent production equipment, and the construction module continuously runs to build the running posture model of the intelligent production equipment based on the running status information of the intelligent production equipment called by the calling unit continuously;

[0045] A queue module is used to obtain the intelligent production equipment operation posture model constructed by the construction module, and arrange each group of intelligent production equipment operation posture models based on the time sequence to create an intelligent production equipment operation posture model queue based on the time sequence arrangement;

[0046] An evaluation module is used to select the intelligent production equipment operation posture model queue created in the queue module, and evaluate the operation safety of the intelligent production equipment based on the intelligent production equipment operation posture model queue;

[0047] The evaluation logic of the operation safety of intelligent production equipment in the evaluation module is expressed as:

[0048]

[0049] Wherein: k is the performance value of the operation safety of intelligent production equipment; λ is a constant; n is the total number of intelligent production equipment operation posture models in the intelligent production equipment operation posture model queue; sim(i,i+1) is the similarity between the intelligent production equipment operation posture model i and the intelligent production equipment operation posture model i+1; m is the total number of operation path models in the intelligent production equipment operation posture model; (x1,y1), (x2,y2), (x3,y3), (x4,y4) are the endpoint position coordinates of the two groups of operation path models corresponding to the same position sensor in the intelligent production equipment operation posture model i and the intelligent production equipment operation posture model i+1; L j , L j+1 is the length between the running path model j in the running posture model i of the intelligent production equipment and the running path model j+1 in the running posture model i+1 of the intelligent production equipment; max(L j ,L j+1 ) is the length L j , L j+1 The maximum length in; α, β are weights;

[0050] Among them, the sum of weights α and β is 1, α>β, constant λ>0, the larger the performance value k of the operation safety of intelligent production equipment is, the safer the operation of intelligent production equipment is, and vice versa, the less safe the operation of intelligent production equipment is;

[0051] A sniffing module is used to sniff out smart production equipment with unsafe operating status;

[0052] An output module is used to output relevant information of the intelligent production equipment whose operating status is unsafe as sniffed by the sniffing module;

[0053] The perception module is interactively connected to the storage unit and the marking unit at the lower level through a wireless network, the perception module is interactively connected to the construction module and the queue module through a wireless network, the construction module is interactively connected to the retrieval unit through a wireless network, the retrieval unit is interactively connected to the marking unit through a wireless network, the queue module is interactively connected to the storage unit through a wireless network, and the queue module is interactively connected to the evaluation module, the sniffing module and the output module through a wireless network.

[0054] In this embodiment, the perception module operates to perceive the operating status information of the intelligent production equipment in the intelligent factory in real time, the storage unit synchronously receives the operating status information of the intelligent production equipment perceived by the perception module, and stores the operating status information of the intelligent production equipment. The marking unit traverses the operating status information of the intelligent production equipment stored in the storage unit in real time and distinguishes and marks the operating status information of the intelligent production equipment. The construction module further receives the operating status information of the intelligent production equipment perceived by the perception module, and uses the operating status information of the intelligent production equipment to construct an operating posture model of the intelligent production equipment. The retrieving unit retrieves the operating status information of the intelligent production equipment stored in the storage unit in real time, and The obtained operation status information of the intelligent production equipment is forwarded to the construction module, and the queue module is post-operated to obtain the operation posture model of the intelligent production equipment constructed by the construction module, and each group of intelligent production equipment operation posture models are arranged based on the time sequence to create an intelligent production equipment operation posture model queue based on the time sequence arrangement, and then the evaluation module selects the intelligent production equipment operation posture model queue created in the queue module, and evaluates the operation safety of the intelligent production equipment based on the intelligent production equipment operation posture model queue, and the sniffing module runs to sniff the intelligent production equipment with unsafe operation status, and finally the output module outputs the relevant information of the intelligent production equipment with unsafe operation status sniffed by the sniffing module.

[0055] Through the operation of the system in the above embodiment, an effective operation safety management effect is provided for the intelligent production equipment in the unmanned intelligent factory, and the product quality, production timeliness and stability of the unmanned production are guaranteed.

[0056] See also Figure 2 As shown, the figure further shows the operation posture models of intelligent production equipment stored in the same partitioned storage interval in the storage unit, and displays them in the form of a queue. The text information below each operation posture model of intelligent production equipment indicates the marking content of the corresponding model.

[0057] Embodiment 2:

[0058] In terms of specific implementation, based on Example 1, this example refers to Figure 1 The smart factory operation management system based on the Internet of Things in Example 1 is further described in detail:

[0059] The perception module is integrated by several groups of position sensors and gravity sensors. The position sensors are deployed on the parts that undergo displacement during the operation of the intelligent production equipment, and each group of intelligent production equipment is subject to a group of position sensors deployed on each group of parts that undergo displacement during the operation of each group of intelligent production equipment. A group of gravity sensors are deployed at the input and output ends of each intelligent production equipment. The perception module perceives the timestamps of receiving and outputting products on the intelligent production equipment based on the changes in the transmission position weight of the input and output ends of the intelligent production equipment;

[0060] Among them, the position sensor in the perception module continuously operates based on the same operating frequency to perceive the position information of the component where it is located. The operating frequency of the position sensor is set to: the operating frequency of the position sensor is customized by the system end user, and the higher the dimensional accuracy requirement of the product produced by the intelligent production equipment, the higher the setting of the operating frequency of the position sensor, and vice versa, the lower the setting of the operating frequency of the position sensor;

[0061] The perception module senses the operating status of the production equipment, that is, the information sensed by the position sensor and the gravity sensor. The perception module is provided with submodules at the lower level, including:

[0062] A storage unit, used to receive the operation status information of the intelligent production equipment sensed by the sensing module, and store the operation status information of the intelligent production equipment;

[0063] A marking unit, used to traverse the intelligent production equipment operation status information stored in the storage unit, and distinguish and mark the intelligent production equipment operation status information;

[0064] Among them, in the operation stage of the storage unit, a set of time thresholds is determined based on the timestamps of receiving and outputting products on the intelligent production equipment in the operation status information of the intelligent production equipment, and the position information sensed by the position sensor on the same intelligent production equipment at the same time threshold is stored, so that the position information sensed by the position sensor in the operation status information of the intelligent production equipment is stored separately in the storage unit, and the information stored in each differentiated storage interval in the storage unit is: all position information sensed by all position sensors on the same intelligent production equipment within the same time threshold. The marking unit performs a distinguishing marking operation on the operation status information of the intelligent production equipment, that is, a marking operation for the names of each differentiated storage interval in the storage unit, and the content of the marking operation is: the installation location information of the intelligent production equipment and the time threshold of the source of the stored information in the differentiated storage interval.

[0065] In this embodiment, through the above settings, further operation data and logic support are provided for the operation of the system in Example 1, ensuring the stable operation of the system in Example 1.

[0066] Embodiment 3:

[0067] In terms of specific implementation, based on Example 1, this example refers to Figure 1 The smart factory operation management system based on the Internet of Things in Example 1 is further described in detail:

[0068] When the construction module runs to construct the operation posture model of the intelligent production equipment, the operation status information of the intelligent production equipment corresponding to a set of distinguished storage intervals retrieved by the calling unit is used as a set of construction data of the operation posture model of the intelligent production equipment. The position information sensed by the continuous operation based on the operation frequency from the same position sensor is called in sequence in the operation status information of the intelligent production equipment to construct the operation path model of the parts of the intelligent production equipment corresponding to the position sensor. The combination of several groups of operation path models constructed from the operation status information of the intelligent production equipment corresponding to the same distinguished storage interval is recorded as the operation posture model of the intelligent production equipment.

[0069] Through the above settings, the construction logic of the operation posture model of intelligent production equipment is further limited.

[0070] like Figure 1 As shown, during the operation phase of the queue module, the time thresholds of the operation status information marks of the operation posture models of each group of intelligent production equipment corresponding to the intelligent production equipment are traversed, so that the operation posture models of the intelligent production equipment belonging to the same intelligent production equipment create a group of queues, and the operation posture models of the intelligent production equipment in the queue are sorted based on time sequence;

[0071] Among them, in the intelligent production equipment operation posture model queue, there are no less than three groups of intelligent production equipment operation posture models. The intelligent production equipment operation posture models with earlier construction time are in the front, and the intelligent production equipment operation posture models with more recent construction time are in the back. The intelligent production equipment operation posture model queue constructed in the queue module is iterated to the storage unit in real time, and the intelligent production equipment operation status information corresponding to each intelligent production equipment operation posture model queue in the iterative intelligent production equipment operation posture model queue is iterated.

[0072] Through the above settings, the logic of the intelligent production equipment operation posture model flowing in the system after completion of construction is further limited.

[0073] like Figure 1 As shown, a safety judgment threshold is set in the sniffing module. During the operation phase of the sniffing module, the operation safety assessment result of the intelligent production equipment in the assessment module is obtained, and the assessment result is compared with the safety judgment threshold. Based on the comparison result, the intelligent production equipment with an unsafe operation status is sniffed;

[0074] The relevant information of the intelligent production equipment with unsafe operation status output by the output module is: the marking content of the storage interval where the corresponding operation status information of the intelligent production equipment with unsafe operation status is located in the storage unit;

[0075] The output module is connected to the computer device held by the system end user through the wireless network, and transmits the relevant information of the intelligent production equipment with unsafe operating status to the computer device through the wireless network for the system end user to read.

[0076] In summary, during the operation of the system in the above embodiment, the equipment operation posture model is constructed by dynamically monitoring the position of the equipment's operating parts, and then the equipment operation posture model is used to evaluate whether the equipment's operating status is safe. In this way, manual management of unmanned smart factories can be further replaced to a large extent, thereby achieving a greater degree of unmanned production, maintaining the stable operation of production equipment, and providing guarantees for the product quality, production timeliness, and stability of unmanned production.

[0077] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. The intelligent factory operation management system based on the Internet of Things is characterized by: include: The perception module is used to perceive the operating status information of intelligent production equipment in the intelligent factory in real time; A construction module is used to receive the operation status information of the intelligent production equipment sensed by the perception module, and use the operation status information of the intelligent production equipment to construct an operation posture model of the intelligent production equipment; When the construction module runs to construct the operation posture model of the intelligent production equipment, a group of intelligent production equipment operation status information corresponding to the differentiated storage intervals retrieved by the retrieval unit is used as a group of construction data of the intelligent production equipment operation posture model, and the position information derived from the same position sensor based on the continuous operation of the operation frequency is sequentially called in the intelligent production equipment operation status information to construct the operation path model of the parts of the intelligent production equipment corresponding to the position sensor, and a combination of several groups of operation path models constructed from the intelligent production equipment operation status information corresponding to the same differentiated storage interval is recorded as the intelligent production equipment operation posture model; A queue module is used to obtain the intelligent production equipment operation posture model constructed by the construction module, and arrange each group of intelligent production equipment operation posture models based on the time sequence to create an intelligent production equipment operation posture model queue based on the time sequence arrangement; An evaluation module is used to select the intelligent production equipment operation posture model queue created in the queue module, and evaluate the operation safety of the intelligent production equipment based on the intelligent production equipment operation posture model queue; The evaluation logic of the safety of intelligent production equipment operation in the evaluation module is expressed as follows: In the formula: k is the performance value of the operation safety of the intelligent production equipment; λ is a constant; n is the total number of the operation posture models of the intelligent production equipment in the operation posture model queue of the intelligent production equipment; sim(i,i+1) is the similarity between the intelligent production equipment operation posture model i and the intelligent production equipment operation posture model i+1; m is the total number of operation path models in the intelligent production equipment operation posture model; (x1,y1), (x2,y2), (x3,y3), (x4,y4) are the endpoint position coordinates of the two groups of operation path models corresponding to the same position sensor in the intelligent production equipment operation posture model i and the intelligent production equipment operation posture model i+1; L j , L j+1 is the length of the running path model j in the running posture model i of the intelligent production equipment, and the length of the running path model j+1 in the running posture model i+1 of the intelligent production equipment; max(L j ,L j+1 ) is the length L j , L j+1 The maximum length in; α, β are weights; Among them, the sum of weights α and β is 1, α>β, constant λ>0, the larger the performance value k of the operation safety of intelligent production equipment is, the safer the operation of intelligent production equipment is, and vice versa, the less safe the operation of intelligent production equipment is; A sniffing module is used to sniff out smart production equipment with unsafe operating status; The output module is used to output relevant information of the intelligent production equipment whose operating status is unsafe as sniffed by the sniffing module.

2. The smart factory operation management system based on the Internet of Things according to claim 1 is characterized in that: The perception module is integrated by several groups of position sensors and gravity sensors. The position sensors are deployed on the parts that undergo displacement during the operation of the intelligent production equipment, and each group of parts that undergo displacement during the operation of each group of intelligent production equipment is deployed with a group of position sensors. The gravity sensors are deployed with a group at the input end and output end of each intelligent production equipment. The perception module perceives the timestamps of receiving and outputting products on the intelligent production equipment based on the changes in the transmission position weight of the input end and output end of the intelligent production equipment; Among them, the position sensor in the perception module continuously operates based on the same operating frequency to perceive the position information of the component where it is located. The operating frequency of the position sensor is set according to: the operating frequency of the position sensor is customized by the system user, and the higher the dimensional accuracy requirement of the product produced by the intelligent production equipment, the higher the set operating frequency of the position sensor, and vice versa.

3. The intelligent factory operation management system based on the Internet of Things according to claim 2 is characterized in that: The operating status information of the production equipment sensed by the sensing module is information sensed by the position sensor and the gravity sensor. The sensing module is provided with submodules at the lower level, including: A storage unit, used to receive the operation status information of the intelligent production equipment sensed by the sensing module, and store the operation status information of the intelligent production equipment; A marking unit, used to traverse the intelligent production equipment operation status information stored in the storage unit, and distinguish and mark the intelligent production equipment operation status information; Among them, in the operation stage of the storage unit, a set of time thresholds is determined based on the timestamps of receiving and outputting products on the intelligent production equipment in the operation status information of the intelligent production equipment, and the position information sensed by the position sensor on the same intelligent production equipment at the same time threshold is stored, so that the position information sensed by the position sensor in the operation status information of the intelligent production equipment is stored separately in the storage unit, and the information stored in each differentiated storage interval in the storage unit is: all position information sensed by all position sensors on the same intelligent production equipment within the same time threshold. The marking unit performs a distinguishing marking operation on the operation status information of the intelligent production equipment, that is, a marking operation for the names of each differentiated storage interval in the storage unit, and the content of the marking operation is: the installation location information of the intelligent production equipment and the time threshold of the source of the information stored in the differentiated storage interval.

4. The intelligent factory operation management system based on the Internet of Things according to claim 1 is characterized in that: The building module is internally provided with submodules, including: A retrieving unit, used to retrieve the operation status information of the intelligent production equipment stored in the storage unit, and forward the retrieved operation status information of the intelligent production equipment to the construction module; Among them, when the calling unit is running, the operating status information of the intelligent production equipment is called based on the tag name that distinguishes the storage interval in the storage unit, so that the operating status information of the intelligent production equipment called by the calling unit itself each time is: the operating status information of the intelligent production equipment within different time thresholds from the same intelligent production equipment, and the construction module continuously runs to construct the operating posture model of the intelligent production equipment based on the operating status information of the intelligent production equipment continuously called by the calling unit.

5. The intelligent factory operation management system based on the Internet of Things according to claim 1 is characterized in that: The queue module runs through the time thresholds of the operation status information marks of each group of intelligent production equipment operation posture models corresponding to the intelligent production equipment, so that the intelligent production equipment operation posture models belonging to the same intelligent production equipment create a group of queues, and the intelligent production equipment operation posture models in the queue are sorted based on time; Among them, in the intelligent production equipment operation posture model queue, there are no less than three groups of intelligent production equipment operation posture models. The intelligent production equipment operation posture models with earlier construction time are in the front, and the intelligent production equipment operation posture models with more recent construction time are in the back. The intelligent production equipment operation posture model queue constructed in the queue module is iterated to the storage unit in real time, and the intelligent production equipment operation status information corresponding to each intelligent production equipment operation posture model queue in the iterative intelligent production equipment operation posture model queue is iterated.

6. The intelligent factory operation management system based on the Internet of Things according to claim 1 is characterized in that: A safety judgment threshold is set in the sniffing module. During the operation phase of the sniffing module, the operation safety assessment result of the intelligent production equipment in the assessment module is obtained, and the assessment result is compared with the safety judgment threshold. Based on the comparison result, the intelligent production equipment with an unsafe operation status is sniffed.

7. The intelligent factory operation management system based on the Internet of Things according to claim 1 is characterized in that: The relevant information of the intelligent production equipment with unsafe operation status output by the output module is: the marking content of the storage interval where the corresponding operation status information of the intelligent production equipment with unsafe operation status is located in the storage unit; The output module is connected to a computer device held by a system end user via a wireless network, and transmits relevant information of the intelligent production equipment in an unsafe operating state to the computer device via the wireless network for the system end user to read.

8. The smart factory operation management system based on the Internet of Things according to claim 1 is characterized in that: The perception module is interactively connected to a storage unit and a marking unit at the lower level through a wireless network, the perception module is interactively connected to a construction module and a queue module through a wireless network, the construction module is interactively connected to a retrieval unit through a wireless network, the retrieval unit is interactively connected to the marking unit through a wireless network, the queue module is interactively connected to the storage unit through a wireless network, and the queue module is interactively connected to the evaluation module, the sniffing module and the output module through a wireless network.

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