Dust risk supervision method and system for textile workshop

Abstract

The invention is suitable for the technical field of dust supervision, and provides a dust risk supervision method and system for a textile workshop, and the method comprises the following steps: calling a workshop production plan, and determining a dust generation key station according to the workshop production plan; the dust concentration of the dust generation key station is monitored, and first early warning information is generated when the dust concentration is higher than a concentration threshold value; flame and electric sparks in the workshop are monitored based on a flame detector and an electric spark detector, and second early warning information is generated when the flame or the electric sparks are recognized; a dust explosion risk model is constructed based on dust concentration, temperature and dust physical and chemical properties, the dust physical and chemical properties comprise dust diameter, flammability, explosiveness, oxidation rate and electrification, and the risk cardinal number of each area in the workshop is determined according to the dust explosion risk model. According to the invention, a comprehensive dust explosion risk model is constructed and is used for evaluating the risk cardinal number of each area in the workshop, so that the accuracy and timeliness of early warning information are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of dust control, and in particular to a dust risk control method and system for a textile workshop. Background Art

[0002] Dust is an unavoidable problem in the textile production process. In the textile workshop, a large amount of fine dust particles will be generated during the processing of fiber materials. These dusts not only pose a threat to the respiratory health of workers, but also pose a potential explosion risk. Traditional dust management usually relies on regular manual inspections and cleaning, but this method is not only inefficient, but also difficult to monitor dust concentrations and their potential dangers in real time. At present, dust sensors are used to monitor workshop dust, but there is no multi-dimensional supervision. The existing dust management often ignores the impact of the physical and chemical properties of dust on explosion risks, and lacks a comprehensive risk assessment model to guide risk management and early warning. Therefore, it is necessary to provide a dust risk supervision method and system for textile workshops to solve the above problems. Summary of the invention

[0003] In view of the deficiencies in the prior art, the purpose of the present invention is to provide a dust risk monitoring method and system for a textile workshop to solve the problems existing in the above-mentioned background technology.

[0004] The present invention is implemented as follows: a dust risk management method for a textile workshop, the method comprising the following steps:

[0005] Retrieve the workshop production plan, which includes production time, production line and product model, and determine the key dust generating workstations according to the workshop production plan;

[0006] Monitoring dust concentration at key dust generating workstations, and generating first warning information when the dust concentration is higher than a concentration threshold, wherein the first warning information includes workstation equipment information and processing information;

[0007] The flame and spark in the workshop are monitored based on the flame detector and the spark detector, and when the flame or spark is identified, the second warning information is generated, and the second warning information includes the location information and the risk situation;

[0008] A dust explosion risk model is constructed based on dust concentration, temperature and dust physicochemical properties. The dust physicochemical properties include dust diameter, flammability, explosivity, oxidation rate and chargeability. The risk base of each area in the workshop is determined according to the dust explosion risk model. When the risk base is greater than the base threshold, the third warning information is generated.

[0009] As a further solution of the present invention: the step of determining the key dust generating workstations according to the workshop production plan specifically includes:

[0010] Determine the manufacturing station being processed based on the production line and product model in the workshop production plan;

[0011] Input the manufacturing station into a dust generating station library for matching, wherein the dust generating station library contains all dust generating stations in the workshop;

[0012] Output the corresponding key dust generating workstations, and determine the monitoring time of each key dust generating workstation according to the production time in the workshop production plan.

[0013] As a further solution of the present invention: when the dust concentration is higher than the concentration threshold, the step of generating the first warning information specifically includes:

[0014] Retrieve the concentration threshold and determine the relationship between the dust concentration and the concentration threshold;

[0015] When the dust concentration is higher than the concentration threshold, the installation position of the corresponding sensor is determined, and the station equipment information is determined;

[0016] One or more ventilation devices are determined based on the installation location and the workstation equipment information, and the environmental protection processing function of the corresponding workstation equipment is determined.

[0017] As a further solution of the present invention: the step of constructing a dust explosion risk model based on dust concentration, temperature and physicochemical properties of dust specifically includes:

[0018] Determine the area where the sensor for collecting dust concentration is located, determine the product model being processed in the area, and retrieve the temperature of the area;

[0019] Determine the physical and chemical properties of the dust according to the product model, wherein the physical and chemical properties of the dust include dust diameter, flammability, explosiveness, oxidation rate and chargeability;

[0020] Construct dust explosion risk model R, R = w1 × C α ×T β ×D γ ×F δ ×E ∈ ×Vox ζ ×Q η , where w1 is the basic weight coefficient used to adjust the overall risk level, and C is the dust concentration in g / m 3 , T is temperature, D is dust diameter, F is flammability index, E is explosiveness index, Vox is oxidation rate, unit is mol / (s·m 2), Q is the chargeability, the unit is μC / g, α, β, γ, δ, ∈, ζ and η are the exponents of each parameter.

[0021] As a further solution of the present invention: the method further comprises:

[0022] Determine the production line of the workstation equipment corresponding to the first warning information, and send the first warning information to the corresponding production line team leader account;

[0023] Determine nearby staff members according to the location information of the second warning information, and send the second warning information to the account of the staff members;

[0024] A regional person in charge of the third warning information is determined, and the third warning information is sent to the account of the regional person in charge.

[0025] Another object of the present invention is to provide a dust risk management system for a textile workshop, the system comprising:

[0026] The dust generating station module is used to retrieve the workshop production plan, which includes production time, production line and product model, and determine the key dust generating stations according to the workshop production plan;

[0027] A first warning information module is used to monitor the dust concentration of the key dust generating workstations, and when the dust concentration is higher than the concentration threshold, generate first warning information, the first warning information including workstation equipment information and processing information;

[0028] A second warning information module is used to monitor flames and sparks in the workshop based on flame detectors and spark detectors, and generate second warning information when flames or sparks are identified, wherein the second warning information includes location information and risk conditions;

[0029] The third warning information module is used to build a dust explosion risk model based on dust concentration, temperature and dust physicochemical properties. The dust physicochemical properties include dust diameter, flammability, explosivity, oxidation rate and chargeability. The risk base of each area in the workshop is determined according to the dust explosion risk model. When the risk base is greater than the base threshold, the third warning information is generated.

[0030] As a further solution of the present invention: the dust generating station module comprises:

[0031] The manufacturing station determination unit is used to determine the manufacturing station being processed according to the production line and product model in the workshop production plan;

[0032] A dust generating station unit, used for inputting the manufacturing station into a dust generating station library for matching, wherein the dust generating station library contains all dust generating stations in the workshop;

[0033] The monitoring time determination unit is used to output the corresponding dust generating key workstations and determine the monitoring time of each dust generating key workstation according to the production time in the workshop production plan.

[0034] As a further solution of the present invention: the first warning information module includes:

[0035] A dust concentration determination unit, used to retrieve a concentration threshold value and determine the relationship between the dust concentration and the concentration threshold value;

[0036] The workstation equipment information unit is used to determine the installation position of the corresponding sensor and the workstation equipment information when the dust concentration is higher than the concentration threshold;

[0037] The ventilation processing function unit is used to determine one or more ventilation devices based on the installation location and the workstation equipment information, and determine the environmental protection processing function of the corresponding workstation equipment.

[0038] As a further solution of the present invention: the third warning information module includes:

[0039] A product model determination unit is used to determine the area where the sensor for collecting dust concentration is located, determine the product model being processed in the area, and retrieve the temperature of the area;

[0040] A dust physicochemical property unit, used to determine the physicochemical properties of dust according to the product model, wherein the physicochemical properties of dust include dust diameter, flammability, explosiveness, oxidation rate and chargeability;

[0041] Risk model building unit, used to build dust explosion risk model R, R = w1 × C α ×T β ×D γ ×F δ ×E ∈ ×Vox ζ ×Q η , where w1 is the basic weight coefficient used to adjust the overall risk level, and C is the dust concentration in g / m 3 , T is temperature, D is dust diameter, F is flammability index, E is explosiveness index, Vox is oxidation rate, unit is mol / (s·m 2 ), Q is the chargeability, the unit is μC / g, α, β, γ, δ, ∈, ζ and η are the exponents of each parameter.

[0042] As a further solution of the present invention: the system further includes a warning information generation module, and the warning information generation module specifically includes:

[0043] A production line leader account unit, used to determine the production line of the workstation equipment corresponding to the first warning information, and send the first warning information to the corresponding production line leader account;

[0044] A nearby personnel account unit, used to determine nearby personnel according to the location information of the second warning information, and send the second warning information to the personnel account;

[0045] The regional person in charge account unit is used to determine the regional person in charge of the third warning information and send the third warning information to the account of the regional person in charge.

[0046] Compared with the prior art, the present invention has the following beneficial effects:

[0047] The present invention retrieves the workshop production plan, determines the key workstations where dust is generated, and monitors the dust concentration of these workstations in real time to ensure that early warning information can be quickly generated when the dust concentration exceeds the standard. The flame detector and spark detector are used to monitor the flame and spark in the workshop in real time to improve the sensitivity of the early warning system and reduce the risk of dust explosion caused by fire or spark. In addition, the present invention comprehensively considers the dust concentration, temperature and the physical and chemical properties of dust to construct a comprehensive dust explosion risk model, which is used to evaluate the risk base of each area in the workshop to ensure the accuracy and timeliness of the early warning information. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 The figure is a flow chart of a dust risk management method for a textile workshop.

[0049] Figure 2 The present invention is a flow chart for determining key dust generating workstations in a dust risk management method for a textile workshop.

[0050] Figure 3 The present invention is a flow chart for generating first warning information in a dust risk supervision method for a textile workshop.

[0051] Figure 4 A flowchart for constructing a dust explosion risk model in a dust risk management method for a textile workshop.

[0052] Figure 5 The present invention is a flow chart of sending early warning information to a corresponding account in a dust risk supervision method for a textile workshop.

[0053] Figure 6 The figure is a structural diagram of a dust risk management system for a textile workshop. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0055] The specific implementation of the present invention is described in detail below in conjunction with specific embodiments.

[0056] like Figure 1 As shown, an embodiment of the present invention provides a dust risk supervision method for a textile workshop, the method comprising the following steps:

[0057] S100, retrieve a workshop production plan, wherein the workshop production plan includes production time, production line and product model, and determine a key dust generating workstation according to the workshop production plan;

[0058] S200, monitoring the dust concentration of a key dust generating workstation, and generating first warning information when the dust concentration is higher than a concentration threshold, wherein the first warning information includes workstation equipment information and processing information;

[0059] S300, monitoring flames and sparks in the workshop based on flame detectors and spark detectors, and generating second warning information when flames or sparks are identified, wherein the second warning information includes location information and risk conditions;

[0060] S400, construct a dust explosion risk model based on dust concentration, temperature and dust physicochemical properties, wherein the dust physicochemical properties include dust diameter, flammability, explosivity, oxidation rate and chargeability. Determine the risk base of each area in the workshop according to the dust explosion risk model. When the risk base is greater than the base threshold, generate a third warning information.

[0061] In an embodiment of the present invention, in order to conduct more accurate dust control, the workshop production plan will be retrieved first, and the workshop production plan includes production time, production line and product model. In this way, the key dust generating workstations are determined according to the workshop production plan, and a dust sensor is installed at each key dust generating workstation to monitor the dust concentration of the key dust generating workstations. When the dust concentration is higher than the concentration threshold (a fixed value set in advance), a first warning information is generated. The first warning information includes workstation equipment information and processing information, so that the location where more dust is generated can be quickly determined, and relevant personnel can deal with it in time according to the processing information; in addition, the embodiment of the present invention also monitors the flame and spark in the workshop through flame detectors and spark detectors. When flames or sparks are identified, a second warning information is generated. The second warning information includes location information and risk situation, and the risk situation is determined by the size of the flame and the size of the spark. In addition, the embodiment of the present invention also constructs a dust explosion risk model based on dust concentration, temperature and dust physicochemical properties, wherein the dust physicochemical properties include dust diameter, flammability, explosivity, oxidation rate and chargeability. The risk base of each area in the workshop is determined according to the dust explosion risk model. When the risk base is greater than the base threshold (a fixed value set in advance), a third warning information is generated. In this way, the embodiment of the present invention takes into account the impact of the physicochemical properties of dust on the explosion risk, and constructs a comprehensive dust explosion risk model for evaluating the risk base of each area in the workshop to ensure the accuracy and timeliness of the warning information.

[0062] like Figure 2 As shown, as a preferred embodiment of the present invention, the step of determining the key dust generating workstations according to the workshop production plan specifically includes:

[0063] S101, determine the manufacturing station being processed according to the production line and product model in the workshop production plan;

[0064] S102, inputting the manufacturing station into a dust generating station library for matching, wherein the dust generating station library contains all dust generating stations in the workshop;

[0065] S103, outputting corresponding dust generating key workstations, and determining the monitoring time of each dust generating key workstation according to the production time in the workshop production plan.

[0066] In the embodiment of the present invention, a dust generation station library is established in advance, and the dust generation station library contains a large number of dust generation stations. In order to determine the key dust generation stations, the manufacturing stations that are being processed and operated are first determined according to the production lines and product models in the workshop production plan, and then the manufacturing stations are input into the dust generation station library for matching, and the corresponding dust generation key stations are automatically output, and then the monitoring time of each dust generation key station is determined according to the production time in the workshop production plan. In this way, the monitoring effect is guaranteed and the waste of resources caused by monitoring is avoided.

[0067] like Figure 3 As shown, as a preferred embodiment of the present invention, when the dust concentration is higher than the concentration threshold, the step of generating the first warning information specifically includes:

[0068] S201, calling up a concentration threshold, and determining the relationship between the dust concentration and the concentration threshold;

[0069] S202, when the dust concentration is higher than the concentration threshold, determining the installation position of the corresponding sensor and determining the workstation equipment information;

[0070] S203, determining one or more ventilation devices based on the installation location and the workstation equipment information, and determining the environmental protection processing function of the corresponding workstation equipment.

[0071] In the embodiment of the present invention, the relationship between the dust concentration and the concentration threshold will be automatically determined. When the dust concentration is higher than the concentration threshold, it means that the danger risk is high. The installation position of the corresponding sensor will be determined automatically, the work station equipment information will be determined, and the model, specific role and function of the work station equipment will be learned. Then, based on the installation position and the work station equipment information, one or more ventilation devices will be determined. These ventilation devices are close to the installation position. In this way, the dust can be processed quickly. Finally, the environmental protection processing function of the corresponding work station equipment will be determined. It is easy to understand that some equipment has an environmental protection processing function. At this time, the environmental protection processing function needs to be turned on.

[0072] like Figure 4 As shown, as a preferred embodiment of the present invention, the step of constructing a dust explosion risk model based on dust concentration, temperature and physicochemical properties of dust specifically includes:

[0073] S401, determining the area where the sensor for collecting dust concentration is located, determining the model of the product being processed in the area, and retrieving the temperature of the area;

[0074] S402, determining the physical and chemical properties of the dust according to the product model, wherein the physical and chemical properties of the dust include dust diameter, flammability, explosiveness, oxidation speed, and chargeability;

[0075] S403, construct dust explosion risk model R, R = w1 × C α ×T β ×D γ ×F δ ×E ∈ ×Vox ζ ×Q η .

[0076] In the embodiment of the present invention, in order to obtain the explosion risk base of each area, the area where the sensor for collecting dust concentration is located is first determined, as well as the product model being processed in the area, and the temperature of the area is retrieved. Then, the physical and chemical properties of the dust are determined according to the product model. The physical and chemical properties of the dust include dust diameter, flammability, explosiveness, oxidation rate and chargeability. The physical and chemical properties of the dust can be retrieved from the online database. In this way, the dust explosion risk model R can be constructed, R = w1×C α ×T β ×D γ ×F δ ×E ∈ ×Vox ζ ×Q η , where w1 is the basic weight coefficient used to adjust the overall risk level, and C is the dust concentration in g / m 3 , T is temperature, D is dust diameter, F is flammability index, E is explosiveness index, Vox is oxidation rate, unit is mol / (s·m 2 ), Q is the charge, the unit is μC / g, α, β, γ, δ, ∈, ζ and η are the indexes of each parameter, indicating their influence on the risk index. These indexes need to be obtained by fitting experimental data.

[0077] like Figure 5 As shown, as a preferred embodiment of the present invention, the method further includes:

[0078] S501, determining the production line of the workstation equipment corresponding to the first warning information, and sending the first warning information to the corresponding production line team leader account;

[0079] S502, determining a nearby staff member according to the location information of the second warning information, and sending the second warning information to the account of the staff member;

[0080] S503, determining the regional person in charge of the third warning information, and sending the third warning information to the account of the regional person in charge.

[0081] In an embodiment of the present invention, after the first warning information is generated, the production line of the workstation equipment corresponding to the first warning information will be automatically determined, and the first warning information will be sent to the corresponding production line leader account, so that the production line leader can go and handle it. After the second warning information is generated, the nearby staff is determined according to the location information of the second warning information, and the second warning information is sent to the account of the staff, so that people near the flames and sparks can quickly go and handle it. After the third warning information is generated, the person in charge of the area of ​​the third warning information is determined, and the third warning information is sent to the account of the person in charge of the area, so that the dangerous situation in the area can be handled in a coordinated manner.

[0082] like Figure 6 As shown, an embodiment of the present invention further provides a dust risk monitoring system for a textile workshop, the system comprising:

[0083] The dust generating station module 100 is used to retrieve the workshop production plan, which includes the production time, production line and product model, and determine the dust generating key stations according to the workshop production plan;

[0084] The first warning information module 200 is used to monitor the dust concentration of the dust generating key workstations, and when the dust concentration is higher than the concentration threshold, generate the first warning information, the first warning information includes the workstation equipment information and processing information;

[0085] The second warning information module 300 is used to monitor flames and sparks in the workshop based on flame detectors and spark detectors, and generate second warning information when flames or sparks are identified, wherein the second warning information includes location information and risk conditions;

[0086] The third warning information module 400 is used to construct a dust explosion risk model based on dust concentration, temperature and dust physicochemical properties, wherein the dust physicochemical properties include dust diameter, flammability, explosivity, oxidation rate and chargeability. The risk base of each area in the workshop is determined according to the dust explosion risk model. When the risk base is greater than the base threshold, the third warning information is generated.

[0087] As a preferred embodiment of the present invention, the dust generating station module 100 includes:

[0088] The manufacturing station determination unit is used to determine the manufacturing station being processed according to the production line and product model in the workshop production plan;

[0089] A dust generating station unit, used for inputting the manufacturing station into a dust generating station library for matching, wherein the dust generating station library contains all dust generating stations in the workshop;

[0090] The monitoring time determination unit is used to output the corresponding dust generating key workstations and determine the monitoring time of each dust generating key workstation according to the production time in the workshop production plan.

[0091] As a preferred embodiment of the present invention, the first warning information module 200 includes:

[0092] A dust concentration determination unit, used to retrieve a concentration threshold value and determine the relationship between the dust concentration and the concentration threshold value;

[0093] The workstation equipment information unit is used to determine the installation position of the corresponding sensor and the workstation equipment information when the dust concentration is higher than the concentration threshold;

[0094] The ventilation processing functional unit is used to determine one or more ventilation devices based on the installation location and the workstation equipment information, and determine the environmental protection processing function of the corresponding workstation equipment.

[0095] As a preferred embodiment of the present invention, the third warning information module 400 includes:

[0096] A product model determination unit is used to determine the area where the sensor for collecting dust concentration is located, determine the product model being processed in the area, and retrieve the temperature of the area;

[0097] A dust physicochemical property unit, used to determine the physicochemical properties of dust according to the product model, wherein the physicochemical properties of dust include dust diameter, flammability, explosiveness, oxidation rate and chargeability;

[0098] Risk model building unit, used to build dust explosion risk model R, R = w1 × C α ×T β ×D γ ×F δ ×E ∈ ×Vox ζ ×Q η , where w1 is the basic weight coefficient used to adjust the overall risk level, and C is the dust concentration in g / m 3 , T is temperature, D is dust diameter, F is flammability index, E is explosiveness index, Vox is oxidation rate, unit is mol / (s·m 2 ), Q is the chargeability, the unit is μC / g, α, β, γ, δ, ∈, ζ and η are the exponents of each parameter.

[0099] As a preferred embodiment of the present invention, the system further includes a warning information generation module, which specifically includes:

[0100] A production line leader account unit, used to determine the production line of the workstation equipment corresponding to the first warning information, and send the first warning information to the corresponding production line leader account;

[0101] A nearby personnel account unit, used to determine nearby personnel according to the location information of the second warning information, and send the second warning information to the personnel account;

[0102] The regional person in charge account unit is used to determine the regional person in charge of the third warning information and send the third warning information to the account of the regional person in charge.

[0103] The above only describes in detail the preferred embodiments of the present invention, which is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

[0104] It should be understood that, although each step in the flow chart of each embodiment of the present invention is shown in sequence according to the indication of the arrow, these steps are not necessarily performed in sequence according to the order indicated by the arrow. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0105] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0106] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the disclosure in the specification and examples. This application is intended to cover any variations, uses or adaptations of the present disclosure, which follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present disclosure are indicated by the claims.

Claims

1. A dust risk supervision method for a textile workshop, characterized in that: The method comprises the following steps: Retrieve the workshop production plan, which includes production time, production line and product model, and determine the key dust generating workstations according to the workshop production plan; Monitoring dust concentration at key dust generating workstations, and generating first warning information when the dust concentration is higher than a concentration threshold, wherein the first warning information includes workstation equipment information and processing information; The flame and spark in the workshop are monitored based on the flame detector and the spark detector, and when the flame or spark is identified, the second warning information is generated, and the second warning information includes the location information and the risk situation; A dust explosion risk model is constructed based on dust concentration, temperature and dust physicochemical properties. The dust physicochemical properties include dust diameter, flammability, explosivity, oxidation rate and chargeability. The risk base of each area in the workshop is determined according to the dust explosion risk model. When the risk base is greater than the base threshold, the third warning information is generated.

2. The dust risk monitoring method for a textile workshop according to claim 1 is characterized in that: The step of determining the key dust generating workstations according to the workshop production plan specifically includes: Determine the manufacturing station being processed based on the production line and product model in the workshop production plan; Input the manufacturing station into a dust generating station library for matching, wherein the dust generating station library contains all dust generating stations in the workshop; Output the corresponding key dust generating workstations, and determine the monitoring time of each key dust generating workstation according to the production time in the workshop production plan.

3. The dust risk monitoring method for a textile workshop according to claim 1 is characterized in that: When the dust concentration is higher than the concentration threshold, the step of generating a first warning message specifically includes: Retrieve the concentration threshold and determine the relationship between the dust concentration and the concentration threshold; When the dust concentration is higher than the concentration threshold, the installation position of the corresponding sensor is determined, and the station equipment information is determined; One or more ventilation devices are determined based on the installation location and the workstation equipment information, and the environmental protection processing function of the corresponding workstation equipment is determined.

4. The dust risk management method for a textile workshop according to claim 1 is characterized in that: The steps of constructing a dust explosion risk model based on dust concentration, temperature and physicochemical properties of dust specifically include: Determine the area where the sensor for collecting dust concentration is located, determine the product model being processed in the area, and retrieve the temperature of the area; Determine the physical and chemical properties of the dust according to the product model, wherein the physical and chemical properties of the dust include dust diameter, flammability, explosiveness, oxidation rate and chargeability; Construct dust explosion risk model R, R = w1 × C α ×T β ×D γ ×F δ ×E ∈ ×Vox ζ ×Q η , where w1 is the basic weight coefficient used to adjust the overall risk level, and C is the dust concentration in g / m 3 , T is temperature, D is dust diameter, F is flammability index, E is explosiveness index, Vox is oxidation rate, Q is chargeability, unit is μC / g, α, β, γ, δ, ∈, ζ and η are the indexes of each parameter.

5. The dust risk monitoring method for a textile workshop according to claim 1 is characterized in that: The method further comprises: Determine the production line of the workstation equipment corresponding to the first warning information, and send the first warning information to the corresponding production line team leader account; Determine nearby staff members according to the location information of the second warning information, and send the second warning information to the account of the staff members; A regional person in charge of the third warning information is determined, and the third warning information is sent to the account of the regional person in charge.

6. A dust risk monitoring system for a textile workshop, characterized in that: The system comprises: The dust generating station module is used to retrieve the workshop production plan, which includes production time, production line and product model, and determine the key dust generating stations according to the workshop production plan; A first warning information module is used to monitor the dust concentration of the key dust generating workstations, and when the dust concentration is higher than the concentration threshold, generate first warning information, the first warning information including workstation equipment information and processing information; A second warning information module is used to monitor flames and sparks in the workshop based on flame detectors and spark detectors, and generate second warning information when flames or sparks are identified, wherein the second warning information includes location information and risk conditions; The third warning information module is used to build a dust explosion risk model based on dust concentration, temperature and dust physicochemical properties. The dust physicochemical properties include dust diameter, flammability, explosivity, oxidation rate and chargeability. The risk base of each area in the workshop is determined according to the dust explosion risk model. When the risk base is greater than the base threshold, the third warning information is generated.

7. The dust risk monitoring system for a textile workshop according to claim 6 is characterized in that: The dust generation station module comprises: The manufacturing station determination unit is used to determine the manufacturing station being processed according to the production line and product model in the workshop production plan; A dust generating station unit, used for inputting the manufacturing station into a dust generating station library for matching, wherein the dust generating station library contains all dust generating stations in the workshop; The monitoring time determination unit is used to output the corresponding dust generating key workstations and determine the monitoring time of each dust generating key workstation according to the production time in the workshop production plan.

8. The dust risk monitoring system for a textile workshop according to claim 6 is characterized in that: The first warning information module includes: A dust concentration determination unit, used to retrieve a concentration threshold value and determine the relationship between the dust concentration and the concentration threshold value; The workstation equipment information unit is used to determine the installation position of the corresponding sensor and the workstation equipment information when the dust concentration is higher than the concentration threshold; The ventilation processing function unit is used to determine one or more ventilation devices based on the installation location and the workstation equipment information, and determine the environmental protection processing function of the corresponding workstation equipment.

9. The dust risk monitoring system for a textile workshop according to claim 6, characterized in that: The third warning information module includes: A product model determination unit is used to determine the area where the sensor for collecting dust concentration is located, determine the product model being processed in the area, and retrieve the temperature of the area; A dust physicochemical property unit, used to determine the physicochemical properties of dust according to the product model, wherein the physicochemical properties of dust include dust diameter, flammability, explosiveness, oxidation rate and chargeability; Risk model building unit, used to build dust explosion risk model R, R = w1 × C α ×T β ×D γ ×F δ ×E ∈ ×Vox ζ ×Q η , where w1 is the basic weight coefficient used to adjust the overall risk level, and C is the dust concentration in g / m 3 , T is temperature, D is dust diameter, F is flammability index, E is explosiveness index, Vox is oxidation rate, Q is chargeability, unit is μC / g, α, β, γ, δ, ∈, ζ and η are the indexes of each parameter.

10. The dust risk monitoring system for a textile workshop according to claim 6, characterized in that: The system also includes a warning information generation module, which specifically includes: A production line leader account unit, used to determine the production line of the workstation equipment corresponding to the first warning information, and send the first warning information to the corresponding production line leader account; A nearby personnel account unit, used to determine nearby personnel according to the location information of the second warning information, and send the second warning information to the personnel account; The regional person in charge account unit is used to determine the regional person in charge of the third warning information and send the third warning information to the account of the regional person in charge.

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